IVOD_ID |
16904 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Full/1M/16904 |
日期 |
2025-09-15 |
影片種類 |
Full |
開始時間 |
2025-09-15T13:50:15+08:00 |
結束時間 |
2025-09-15T17:06:00+08:00 |
影片長度 |
03:15:45 |
支援功能[0] |
ai-transcript |
video_url |
https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/b73ade72829c64ede905a66c5752e8af30fcb42745d8fe5e1771dcf01385b395709ba70b6474f07d5ea18f28b6918d91.mp4/playlist.m3u8 |
會議時間 |
2025-09-15T14:00:00+08:00 |
會議名稱 |
駭客的終極完美武器:人工智能大未來(事由:駭客的終極完美武器:人工智能大未來) |
委員名稱 |
完整會議 |
委員發言時間 |
13:50:15 - 17:06:00 |
transcript.pyannote[0].speaker |
SPEAKER_05 |
transcript.pyannote[0].start |
32.29596875 |
transcript.pyannote[0].end |
33.71346875 |
transcript.pyannote[1].speaker |
SPEAKER_05 |
transcript.pyannote[1].start |
37.20659375 |
transcript.pyannote[1].end |
38.52284375 |
transcript.pyannote[2].speaker |
SPEAKER_05 |
transcript.pyannote[2].start |
53.81159375 |
transcript.pyannote[2].end |
54.95909375 |
transcript.pyannote[3].speaker |
SPEAKER_05 |
transcript.pyannote[3].start |
65.18534375 |
transcript.pyannote[3].end |
65.59034375 |
transcript.pyannote[4].speaker |
SPEAKER_05 |
transcript.pyannote[4].start |
82.26284375 |
transcript.pyannote[4].end |
82.60034375 |
transcript.pyannote[5].speaker |
SPEAKER_05 |
transcript.pyannote[5].start |
87.71346875 |
transcript.pyannote[5].end |
88.03409375 |
transcript.pyannote[6].speaker |
SPEAKER_05 |
transcript.pyannote[6].start |
142.52346875 |
transcript.pyannote[6].end |
142.91159375 |
transcript.pyannote[7].speaker |
SPEAKER_05 |
transcript.pyannote[7].start |
147.88971875 |
transcript.pyannote[7].end |
148.29471875 |
transcript.pyannote[8].speaker |
SPEAKER_05 |
transcript.pyannote[8].start |
157.86284375 |
transcript.pyannote[8].end |
158.30159375 |
transcript.pyannote[9].speaker |
SPEAKER_05 |
transcript.pyannote[9].start |
216.19971875 |
transcript.pyannote[9].end |
216.60471875 |
transcript.pyannote[10].speaker |
SPEAKER_02 |
transcript.pyannote[10].start |
774.50909375 |
transcript.pyannote[10].end |
798.57284375 |
transcript.pyannote[11].speaker |
SPEAKER_02 |
transcript.pyannote[11].start |
798.85971875 |
transcript.pyannote[11].end |
800.26034375 |
transcript.pyannote[12].speaker |
SPEAKER_02 |
transcript.pyannote[12].start |
800.56409375 |
transcript.pyannote[12].end |
828.08721875 |
transcript.pyannote[13].speaker |
SPEAKER_02 |
transcript.pyannote[13].start |
828.30659375 |
transcript.pyannote[13].end |
847.99971875 |
transcript.pyannote[14].speaker |
SPEAKER_03 |
transcript.pyannote[14].start |
853.66971875 |
transcript.pyannote[14].end |
857.04471875 |
transcript.pyannote[15].speaker |
SPEAKER_03 |
transcript.pyannote[15].start |
858.19221875 |
transcript.pyannote[15].end |
872.28284375 |
transcript.pyannote[16].speaker |
SPEAKER_03 |
transcript.pyannote[16].start |
872.72159375 |
transcript.pyannote[16].end |
882.37409375 |
transcript.pyannote[17].speaker |
SPEAKER_03 |
transcript.pyannote[17].start |
882.67784375 |
transcript.pyannote[17].end |
890.47409375 |
transcript.pyannote[18].speaker |
SPEAKER_03 |
transcript.pyannote[18].start |
891.90846875 |
transcript.pyannote[18].end |
899.43471875 |
transcript.pyannote[19].speaker |
SPEAKER_03 |
transcript.pyannote[19].start |
900.59909375 |
transcript.pyannote[19].end |
901.86471875 |
transcript.pyannote[20].speaker |
SPEAKER_03 |
transcript.pyannote[20].start |
902.62409375 |
transcript.pyannote[20].end |
905.17221875 |
transcript.pyannote[21].speaker |
SPEAKER_03 |
transcript.pyannote[21].start |
907.06221875 |
transcript.pyannote[21].end |
953.92409375 |
transcript.pyannote[22].speaker |
SPEAKER_03 |
transcript.pyannote[22].start |
954.56534375 |
transcript.pyannote[22].end |
967.55909375 |
transcript.pyannote[23].speaker |
SPEAKER_03 |
transcript.pyannote[23].start |
968.38596875 |
transcript.pyannote[23].end |
969.93846875 |
transcript.pyannote[24].speaker |
SPEAKER_03 |
transcript.pyannote[24].start |
971.28846875 |
transcript.pyannote[24].end |
974.05596875 |
transcript.pyannote[25].speaker |
SPEAKER_03 |
transcript.pyannote[25].start |
975.28784375 |
transcript.pyannote[25].end |
976.87409375 |
transcript.pyannote[26].speaker |
SPEAKER_03 |
transcript.pyannote[26].start |
977.56596875 |
transcript.pyannote[26].end |
983.86034375 |
transcript.pyannote[27].speaker |
SPEAKER_03 |
transcript.pyannote[27].start |
984.43409375 |
transcript.pyannote[27].end |
990.93096875 |
transcript.pyannote[28].speaker |
SPEAKER_03 |
transcript.pyannote[28].start |
991.67346875 |
transcript.pyannote[28].end |
1008.16034375 |
transcript.pyannote[29].speaker |
SPEAKER_03 |
transcript.pyannote[29].start |
1009.94909375 |
transcript.pyannote[29].end |
1025.81159375 |
transcript.pyannote[30].speaker |
SPEAKER_03 |
transcript.pyannote[30].start |
1026.48659375 |
transcript.pyannote[30].end |
1037.70846875 |
transcript.pyannote[31].speaker |
SPEAKER_03 |
transcript.pyannote[31].start |
1039.21034375 |
transcript.pyannote[31].end |
1051.37721875 |
transcript.pyannote[32].speaker |
SPEAKER_03 |
transcript.pyannote[32].start |
1062.32909375 |
transcript.pyannote[32].end |
1063.03784375 |
transcript.pyannote[33].speaker |
SPEAKER_03 |
transcript.pyannote[33].start |
1064.01659375 |
transcript.pyannote[33].end |
1064.30346875 |
transcript.pyannote[34].speaker |
SPEAKER_03 |
transcript.pyannote[34].start |
1068.03284375 |
transcript.pyannote[34].end |
1070.61471875 |
transcript.pyannote[35].speaker |
SPEAKER_03 |
transcript.pyannote[35].start |
1071.98159375 |
transcript.pyannote[35].end |
1077.41534375 |
transcript.pyannote[36].speaker |
SPEAKER_03 |
transcript.pyannote[36].start |
1078.29284375 |
transcript.pyannote[36].end |
1079.44034375 |
transcript.pyannote[37].speaker |
SPEAKER_03 |
transcript.pyannote[37].start |
1080.01409375 |
transcript.pyannote[37].end |
1084.26659375 |
transcript.pyannote[38].speaker |
SPEAKER_03 |
transcript.pyannote[38].start |
1085.04284375 |
transcript.pyannote[38].end |
1102.71096875 |
transcript.pyannote[39].speaker |
SPEAKER_03 |
transcript.pyannote[39].start |
1103.16659375 |
transcript.pyannote[39].end |
1104.02721875 |
transcript.pyannote[40].speaker |
SPEAKER_03 |
transcript.pyannote[40].start |
1104.71909375 |
transcript.pyannote[40].end |
1109.15721875 |
transcript.pyannote[41].speaker |
SPEAKER_03 |
transcript.pyannote[41].start |
1110.72659375 |
transcript.pyannote[41].end |
1119.31596875 |
transcript.pyannote[42].speaker |
SPEAKER_03 |
transcript.pyannote[42].start |
1119.61971875 |
transcript.pyannote[42].end |
1125.27284375 |
transcript.pyannote[43].speaker |
SPEAKER_03 |
transcript.pyannote[43].start |
1126.18409375 |
transcript.pyannote[43].end |
1127.56784375 |
transcript.pyannote[44].speaker |
SPEAKER_03 |
transcript.pyannote[44].start |
1128.02346875 |
transcript.pyannote[44].end |
1129.87971875 |
transcript.pyannote[45].speaker |
SPEAKER_03 |
transcript.pyannote[45].start |
1130.09909375 |
transcript.pyannote[45].end |
1138.77284375 |
transcript.pyannote[46].speaker |
SPEAKER_03 |
transcript.pyannote[46].start |
1139.17784375 |
transcript.pyannote[46].end |
1141.59096875 |
transcript.pyannote[47].speaker |
SPEAKER_03 |
transcript.pyannote[47].start |
1141.82721875 |
transcript.pyannote[47].end |
1143.63284375 |
transcript.pyannote[48].speaker |
SPEAKER_03 |
transcript.pyannote[48].start |
1143.85221875 |
transcript.pyannote[48].end |
1148.34096875 |
transcript.pyannote[49].speaker |
SPEAKER_03 |
transcript.pyannote[49].start |
1148.83034375 |
transcript.pyannote[49].end |
1150.02846875 |
transcript.pyannote[50].speaker |
SPEAKER_03 |
transcript.pyannote[50].start |
1151.07471875 |
transcript.pyannote[50].end |
1155.56346875 |
transcript.pyannote[51].speaker |
SPEAKER_03 |
transcript.pyannote[51].start |
1156.66034375 |
transcript.pyannote[51].end |
1166.26221875 |
transcript.pyannote[52].speaker |
SPEAKER_03 |
transcript.pyannote[52].start |
1168.25346875 |
transcript.pyannote[52].end |
1178.61471875 |
transcript.pyannote[53].speaker |
SPEAKER_03 |
transcript.pyannote[53].start |
1179.74534375 |
transcript.pyannote[53].end |
1182.95159375 |
transcript.pyannote[54].speaker |
SPEAKER_03 |
transcript.pyannote[54].start |
1183.57596875 |
transcript.pyannote[54].end |
1188.06471875 |
transcript.pyannote[55].speaker |
SPEAKER_03 |
transcript.pyannote[55].start |
1188.90846875 |
transcript.pyannote[55].end |
1192.35096875 |
transcript.pyannote[56].speaker |
SPEAKER_03 |
transcript.pyannote[56].start |
1195.18596875 |
transcript.pyannote[56].end |
1196.35034375 |
transcript.pyannote[57].speaker |
SPEAKER_03 |
transcript.pyannote[57].start |
1196.89034375 |
transcript.pyannote[57].end |
1208.97284375 |
transcript.pyannote[58].speaker |
SPEAKER_03 |
transcript.pyannote[58].start |
1209.96846875 |
transcript.pyannote[58].end |
1217.96721875 |
transcript.pyannote[59].speaker |
SPEAKER_03 |
transcript.pyannote[59].start |
1220.36346875 |
transcript.pyannote[59].end |
1221.54471875 |
transcript.pyannote[60].speaker |
SPEAKER_03 |
transcript.pyannote[60].start |
1222.55721875 |
transcript.pyannote[60].end |
1226.91096875 |
transcript.pyannote[61].speaker |
SPEAKER_03 |
transcript.pyannote[61].start |
1227.90659375 |
transcript.pyannote[61].end |
1232.32784375 |
transcript.pyannote[62].speaker |
SPEAKER_03 |
transcript.pyannote[62].start |
1232.95221875 |
transcript.pyannote[62].end |
1238.30159375 |
transcript.pyannote[63].speaker |
SPEAKER_03 |
transcript.pyannote[63].start |
1238.68971875 |
transcript.pyannote[63].end |
1247.05971875 |
transcript.pyannote[64].speaker |
SPEAKER_03 |
transcript.pyannote[64].start |
1248.19034375 |
transcript.pyannote[64].end |
1248.93284375 |
transcript.pyannote[65].speaker |
SPEAKER_03 |
transcript.pyannote[65].start |
1250.62034375 |
transcript.pyannote[65].end |
1252.52721875 |
transcript.pyannote[66].speaker |
SPEAKER_03 |
transcript.pyannote[66].start |
1253.60721875 |
transcript.pyannote[66].end |
1256.34096875 |
transcript.pyannote[67].speaker |
SPEAKER_03 |
transcript.pyannote[67].start |
1256.76284375 |
transcript.pyannote[67].end |
1259.42909375 |
transcript.pyannote[68].speaker |
SPEAKER_03 |
transcript.pyannote[68].start |
1260.50909375 |
transcript.pyannote[68].end |
1269.72284375 |
transcript.pyannote[69].speaker |
SPEAKER_03 |
transcript.pyannote[69].start |
1270.61721875 |
transcript.pyannote[69].end |
1271.84909375 |
transcript.pyannote[70].speaker |
SPEAKER_03 |
transcript.pyannote[70].start |
1272.97971875 |
transcript.pyannote[70].end |
1285.11284375 |
transcript.pyannote[71].speaker |
SPEAKER_03 |
transcript.pyannote[71].start |
1286.90159375 |
transcript.pyannote[71].end |
1303.55721875 |
transcript.pyannote[72].speaker |
SPEAKER_03 |
transcript.pyannote[72].start |
1304.38409375 |
transcript.pyannote[72].end |
1310.00346875 |
transcript.pyannote[73].speaker |
SPEAKER_03 |
transcript.pyannote[73].start |
1312.19721875 |
transcript.pyannote[73].end |
1322.50784375 |
transcript.pyannote[74].speaker |
SPEAKER_03 |
transcript.pyannote[74].start |
1323.70596875 |
transcript.pyannote[74].end |
1324.92096875 |
transcript.pyannote[75].speaker |
SPEAKER_03 |
transcript.pyannote[75].start |
1325.22471875 |
transcript.pyannote[75].end |
1332.29534375 |
transcript.pyannote[76].speaker |
SPEAKER_03 |
transcript.pyannote[76].start |
1334.32034375 |
transcript.pyannote[76].end |
1350.72284375 |
transcript.pyannote[77].speaker |
SPEAKER_03 |
transcript.pyannote[77].start |
1351.36409375 |
transcript.pyannote[77].end |
1352.19096875 |
transcript.pyannote[78].speaker |
SPEAKER_03 |
transcript.pyannote[78].start |
1354.78971875 |
transcript.pyannote[78].end |
1356.27471875 |
transcript.pyannote[79].speaker |
SPEAKER_03 |
transcript.pyannote[79].start |
1357.16909375 |
transcript.pyannote[79].end |
1369.82534375 |
transcript.pyannote[80].speaker |
SPEAKER_03 |
transcript.pyannote[80].start |
1370.82096875 |
transcript.pyannote[80].end |
1380.67596875 |
transcript.pyannote[81].speaker |
SPEAKER_03 |
transcript.pyannote[81].start |
1382.43096875 |
transcript.pyannote[81].end |
1400.50409375 |
transcript.pyannote[82].speaker |
SPEAKER_03 |
transcript.pyannote[82].start |
1401.98909375 |
transcript.pyannote[82].end |
1409.44784375 |
transcript.pyannote[83].speaker |
SPEAKER_03 |
transcript.pyannote[83].start |
1409.90346875 |
transcript.pyannote[83].end |
1421.88471875 |
transcript.pyannote[84].speaker |
SPEAKER_03 |
transcript.pyannote[84].start |
1422.88034375 |
transcript.pyannote[84].end |
1429.02284375 |
transcript.pyannote[85].speaker |
SPEAKER_03 |
transcript.pyannote[85].start |
1429.69784375 |
transcript.pyannote[85].end |
1441.91534375 |
transcript.pyannote[86].speaker |
SPEAKER_03 |
transcript.pyannote[86].start |
1442.69159375 |
transcript.pyannote[86].end |
1457.67659375 |
transcript.pyannote[87].speaker |
SPEAKER_03 |
transcript.pyannote[87].start |
1458.73971875 |
transcript.pyannote[87].end |
1459.66784375 |
transcript.pyannote[88].speaker |
SPEAKER_03 |
transcript.pyannote[88].start |
1460.22471875 |
transcript.pyannote[88].end |
1465.00034375 |
transcript.pyannote[89].speaker |
SPEAKER_03 |
transcript.pyannote[89].start |
1467.43034375 |
transcript.pyannote[89].end |
1475.85096875 |
transcript.pyannote[90].speaker |
SPEAKER_03 |
transcript.pyannote[90].start |
1476.61034375 |
transcript.pyannote[90].end |
1499.52659375 |
transcript.pyannote[91].speaker |
SPEAKER_03 |
transcript.pyannote[91].start |
1500.47159375 |
transcript.pyannote[91].end |
1515.76034375 |
transcript.pyannote[92].speaker |
SPEAKER_03 |
transcript.pyannote[92].start |
1516.38471875 |
transcript.pyannote[92].end |
1525.53096875 |
transcript.pyannote[93].speaker |
SPEAKER_03 |
transcript.pyannote[93].start |
1529.46284375 |
transcript.pyannote[93].end |
1534.59284375 |
transcript.pyannote[94].speaker |
SPEAKER_05 |
transcript.pyannote[94].start |
1538.00159375 |
transcript.pyannote[94].end |
1538.08596875 |
transcript.pyannote[95].speaker |
SPEAKER_05 |
transcript.pyannote[95].start |
1543.43534375 |
transcript.pyannote[95].end |
1544.71784375 |
transcript.pyannote[96].speaker |
SPEAKER_04 |
transcript.pyannote[96].start |
1577.92784375 |
transcript.pyannote[96].end |
1579.36221875 |
transcript.pyannote[97].speaker |
SPEAKER_04 |
transcript.pyannote[97].start |
1580.45909375 |
transcript.pyannote[97].end |
1581.26909375 |
transcript.pyannote[98].speaker |
SPEAKER_04 |
transcript.pyannote[98].start |
1582.39971875 |
transcript.pyannote[98].end |
1582.70346875 |
transcript.pyannote[99].speaker |
SPEAKER_04 |
transcript.pyannote[99].start |
1583.59784375 |
transcript.pyannote[99].end |
1585.04909375 |
transcript.pyannote[100].speaker |
SPEAKER_04 |
transcript.pyannote[100].start |
1585.52159375 |
transcript.pyannote[100].end |
1586.63534375 |
transcript.pyannote[101].speaker |
SPEAKER_04 |
transcript.pyannote[101].start |
1587.31034375 |
transcript.pyannote[101].end |
1590.02721875 |
transcript.pyannote[102].speaker |
SPEAKER_04 |
transcript.pyannote[102].start |
1590.88784375 |
transcript.pyannote[102].end |
1592.81159375 |
transcript.pyannote[103].speaker |
SPEAKER_04 |
transcript.pyannote[103].start |
1592.96346875 |
transcript.pyannote[103].end |
1594.75221875 |
transcript.pyannote[104].speaker |
SPEAKER_04 |
transcript.pyannote[104].start |
1595.66346875 |
transcript.pyannote[104].end |
1596.94596875 |
transcript.pyannote[105].speaker |
SPEAKER_04 |
transcript.pyannote[105].start |
1597.40159375 |
transcript.pyannote[105].end |
1598.29596875 |
transcript.pyannote[106].speaker |
SPEAKER_04 |
transcript.pyannote[106].start |
1599.44346875 |
transcript.pyannote[106].end |
1600.25346875 |
transcript.pyannote[107].speaker |
SPEAKER_04 |
transcript.pyannote[107].start |
1603.25721875 |
transcript.pyannote[107].end |
1603.79721875 |
transcript.pyannote[108].speaker |
SPEAKER_04 |
transcript.pyannote[108].start |
1603.94909375 |
transcript.pyannote[108].end |
1605.28221875 |
transcript.pyannote[109].speaker |
SPEAKER_04 |
transcript.pyannote[109].start |
1605.99096875 |
transcript.pyannote[109].end |
1607.13846875 |
transcript.pyannote[110].speaker |
SPEAKER_04 |
transcript.pyannote[110].start |
1607.59409375 |
transcript.pyannote[110].end |
1609.41659375 |
transcript.pyannote[111].speaker |
SPEAKER_04 |
transcript.pyannote[111].start |
1610.27721875 |
transcript.pyannote[111].end |
1610.90159375 |
transcript.pyannote[112].speaker |
SPEAKER_04 |
transcript.pyannote[112].start |
1611.74534375 |
transcript.pyannote[112].end |
1614.14159375 |
transcript.pyannote[113].speaker |
SPEAKER_04 |
transcript.pyannote[113].start |
1614.64784375 |
transcript.pyannote[113].end |
1621.02659375 |
transcript.pyannote[114].speaker |
SPEAKER_04 |
transcript.pyannote[114].start |
1621.36409375 |
transcript.pyannote[114].end |
1625.12721875 |
transcript.pyannote[115].speaker |
SPEAKER_04 |
transcript.pyannote[115].start |
1625.48159375 |
transcript.pyannote[115].end |
1628.68784375 |
transcript.pyannote[116].speaker |
SPEAKER_10 |
transcript.pyannote[116].start |
1628.68784375 |
transcript.pyannote[116].end |
1629.41346875 |
transcript.pyannote[117].speaker |
SPEAKER_04 |
transcript.pyannote[117].start |
1629.16034375 |
transcript.pyannote[117].end |
1636.83846875 |
transcript.pyannote[118].speaker |
SPEAKER_08 |
transcript.pyannote[118].start |
1637.04096875 |
transcript.pyannote[118].end |
1639.08284375 |
transcript.pyannote[119].speaker |
SPEAKER_04 |
transcript.pyannote[119].start |
1644.90471875 |
transcript.pyannote[119].end |
1646.72721875 |
transcript.pyannote[120].speaker |
SPEAKER_04 |
transcript.pyannote[120].start |
1649.68034375 |
transcript.pyannote[120].end |
1650.13596875 |
transcript.pyannote[121].speaker |
SPEAKER_04 |
transcript.pyannote[121].start |
1655.83971875 |
transcript.pyannote[121].end |
1657.18971875 |
transcript.pyannote[122].speaker |
SPEAKER_04 |
transcript.pyannote[122].start |
1658.40471875 |
transcript.pyannote[122].end |
1660.00784375 |
transcript.pyannote[123].speaker |
SPEAKER_04 |
transcript.pyannote[123].start |
1660.37909375 |
transcript.pyannote[123].end |
1663.06221875 |
transcript.pyannote[124].speaker |
SPEAKER_04 |
transcript.pyannote[124].start |
1664.39534375 |
transcript.pyannote[124].end |
1666.80846875 |
transcript.pyannote[125].speaker |
SPEAKER_04 |
transcript.pyannote[125].start |
1666.87596875 |
transcript.pyannote[125].end |
1669.12034375 |
transcript.pyannote[126].speaker |
SPEAKER_04 |
transcript.pyannote[126].start |
1670.57159375 |
transcript.pyannote[126].end |
1671.49971875 |
transcript.pyannote[127].speaker |
SPEAKER_04 |
transcript.pyannote[127].start |
1672.10721875 |
transcript.pyannote[127].end |
1672.93409375 |
transcript.pyannote[128].speaker |
SPEAKER_04 |
transcript.pyannote[128].start |
1674.35159375 |
transcript.pyannote[128].end |
1676.42721875 |
transcript.pyannote[129].speaker |
SPEAKER_03 |
transcript.pyannote[129].start |
1683.05909375 |
transcript.pyannote[129].end |
1749.49596875 |
transcript.pyannote[130].speaker |
SPEAKER_03 |
transcript.pyannote[130].start |
1750.50846875 |
transcript.pyannote[130].end |
1760.12721875 |
transcript.pyannote[131].speaker |
SPEAKER_03 |
transcript.pyannote[131].start |
1761.15659375 |
transcript.pyannote[131].end |
1768.27784375 |
transcript.pyannote[132].speaker |
SPEAKER_03 |
transcript.pyannote[132].start |
1768.71659375 |
transcript.pyannote[132].end |
1813.80659375 |
transcript.pyannote[133].speaker |
SPEAKER_03 |
transcript.pyannote[133].start |
1815.12284375 |
transcript.pyannote[133].end |
1817.73846875 |
transcript.pyannote[134].speaker |
SPEAKER_03 |
transcript.pyannote[134].start |
1819.74659375 |
transcript.pyannote[134].end |
1869.46034375 |
transcript.pyannote[135].speaker |
SPEAKER_03 |
transcript.pyannote[135].start |
1870.35471875 |
transcript.pyannote[135].end |
1882.87596875 |
transcript.pyannote[136].speaker |
SPEAKER_03 |
transcript.pyannote[136].start |
1882.97721875 |
transcript.pyannote[136].end |
1888.32659375 |
transcript.pyannote[137].speaker |
SPEAKER_03 |
transcript.pyannote[137].start |
1889.49096875 |
transcript.pyannote[137].end |
1891.78596875 |
transcript.pyannote[138].speaker |
SPEAKER_03 |
transcript.pyannote[138].start |
1894.43534375 |
transcript.pyannote[138].end |
1895.39721875 |
transcript.pyannote[139].speaker |
SPEAKER_03 |
transcript.pyannote[139].start |
1896.12284375 |
transcript.pyannote[139].end |
1899.44721875 |
transcript.pyannote[140].speaker |
SPEAKER_03 |
transcript.pyannote[140].start |
1900.17284375 |
transcript.pyannote[140].end |
1900.72971875 |
transcript.pyannote[141].speaker |
SPEAKER_03 |
transcript.pyannote[141].start |
1903.66596875 |
transcript.pyannote[141].end |
1905.08346875 |
transcript.pyannote[142].speaker |
SPEAKER_03 |
transcript.pyannote[142].start |
1905.96096875 |
transcript.pyannote[142].end |
1908.86346875 |
transcript.pyannote[143].speaker |
SPEAKER_03 |
transcript.pyannote[143].start |
1912.82909375 |
transcript.pyannote[143].end |
1918.80284375 |
transcript.pyannote[144].speaker |
SPEAKER_03 |
transcript.pyannote[144].start |
1919.95034375 |
transcript.pyannote[144].end |
1922.58284375 |
transcript.pyannote[145].speaker |
SPEAKER_03 |
transcript.pyannote[145].start |
1924.86096875 |
transcript.pyannote[145].end |
1925.38409375 |
transcript.pyannote[146].speaker |
SPEAKER_03 |
transcript.pyannote[146].start |
1925.87346875 |
transcript.pyannote[146].end |
1936.40346875 |
transcript.pyannote[147].speaker |
SPEAKER_03 |
transcript.pyannote[147].start |
1937.85471875 |
transcript.pyannote[147].end |
1939.13721875 |
transcript.pyannote[148].speaker |
SPEAKER_03 |
transcript.pyannote[148].start |
1939.74471875 |
transcript.pyannote[148].end |
1941.73596875 |
transcript.pyannote[149].speaker |
SPEAKER_03 |
transcript.pyannote[149].start |
1942.39409375 |
transcript.pyannote[149].end |
1944.09846875 |
transcript.pyannote[150].speaker |
SPEAKER_03 |
transcript.pyannote[150].start |
1944.79034375 |
transcript.pyannote[150].end |
1975.08096875 |
transcript.pyannote[151].speaker |
SPEAKER_03 |
transcript.pyannote[151].start |
1975.63784375 |
transcript.pyannote[151].end |
1978.11846875 |
transcript.pyannote[152].speaker |
SPEAKER_03 |
transcript.pyannote[152].start |
1979.73846875 |
transcript.pyannote[152].end |
1981.00409375 |
transcript.pyannote[153].speaker |
SPEAKER_03 |
transcript.pyannote[153].start |
1982.55659375 |
transcript.pyannote[153].end |
1983.33284375 |
transcript.pyannote[154].speaker |
SPEAKER_03 |
transcript.pyannote[154].start |
1983.70409375 |
transcript.pyannote[154].end |
1987.53471875 |
transcript.pyannote[155].speaker |
SPEAKER_03 |
transcript.pyannote[155].start |
1988.10846875 |
transcript.pyannote[155].end |
1990.26846875 |
transcript.pyannote[156].speaker |
SPEAKER_03 |
transcript.pyannote[156].start |
1991.29784375 |
transcript.pyannote[156].end |
1992.00659375 |
transcript.pyannote[157].speaker |
SPEAKER_03 |
transcript.pyannote[157].start |
1993.06971875 |
transcript.pyannote[157].end |
1993.35659375 |
transcript.pyannote[158].speaker |
SPEAKER_03 |
transcript.pyannote[158].start |
1994.62221875 |
transcript.pyannote[158].end |
1996.90034375 |
transcript.pyannote[159].speaker |
SPEAKER_03 |
transcript.pyannote[159].start |
1997.42346875 |
transcript.pyannote[159].end |
2003.83596875 |
transcript.pyannote[160].speaker |
SPEAKER_03 |
transcript.pyannote[160].start |
2003.97096875 |
transcript.pyannote[160].end |
2018.21346875 |
transcript.pyannote[161].speaker |
SPEAKER_03 |
transcript.pyannote[161].start |
2019.04034375 |
transcript.pyannote[161].end |
2027.25846875 |
transcript.pyannote[162].speaker |
SPEAKER_03 |
transcript.pyannote[162].start |
2028.15284375 |
transcript.pyannote[162].end |
2034.07596875 |
transcript.pyannote[163].speaker |
SPEAKER_03 |
transcript.pyannote[163].start |
2034.75096875 |
transcript.pyannote[163].end |
2073.95159375 |
transcript.pyannote[164].speaker |
SPEAKER_03 |
transcript.pyannote[164].start |
2076.26346875 |
transcript.pyannote[164].end |
2081.49471875 |
transcript.pyannote[165].speaker |
SPEAKER_03 |
transcript.pyannote[165].start |
2082.28784375 |
transcript.pyannote[165].end |
2083.21596875 |
transcript.pyannote[166].speaker |
SPEAKER_03 |
transcript.pyannote[166].start |
2083.77284375 |
transcript.pyannote[166].end |
2085.40971875 |
transcript.pyannote[167].speaker |
SPEAKER_03 |
transcript.pyannote[167].start |
2087.94096875 |
transcript.pyannote[167].end |
2090.35409375 |
transcript.pyannote[168].speaker |
SPEAKER_03 |
transcript.pyannote[168].start |
2091.06284375 |
transcript.pyannote[168].end |
2105.91284375 |
transcript.pyannote[169].speaker |
SPEAKER_03 |
transcript.pyannote[169].start |
2107.00971875 |
transcript.pyannote[169].end |
2112.69659375 |
transcript.pyannote[170].speaker |
SPEAKER_03 |
transcript.pyannote[170].start |
2112.89909375 |
transcript.pyannote[170].end |
2114.56971875 |
transcript.pyannote[171].speaker |
SPEAKER_03 |
transcript.pyannote[171].start |
2115.29534375 |
transcript.pyannote[171].end |
2134.29659375 |
transcript.pyannote[172].speaker |
SPEAKER_03 |
transcript.pyannote[172].start |
2134.90409375 |
transcript.pyannote[172].end |
2143.15596875 |
transcript.pyannote[173].speaker |
SPEAKER_03 |
transcript.pyannote[173].start |
2143.94909375 |
transcript.pyannote[173].end |
2158.15784375 |
transcript.pyannote[174].speaker |
SPEAKER_03 |
transcript.pyannote[174].start |
2158.91721875 |
transcript.pyannote[174].end |
2162.03909375 |
transcript.pyannote[175].speaker |
SPEAKER_03 |
transcript.pyannote[175].start |
2162.39346875 |
transcript.pyannote[175].end |
2169.02534375 |
transcript.pyannote[176].speaker |
SPEAKER_03 |
transcript.pyannote[176].start |
2169.48096875 |
transcript.pyannote[176].end |
2175.25221875 |
transcript.pyannote[177].speaker |
SPEAKER_03 |
transcript.pyannote[177].start |
2175.62346875 |
transcript.pyannote[177].end |
2176.53471875 |
transcript.pyannote[178].speaker |
SPEAKER_03 |
transcript.pyannote[178].start |
2177.86784375 |
transcript.pyannote[178].end |
2179.42034375 |
transcript.pyannote[179].speaker |
SPEAKER_03 |
transcript.pyannote[179].start |
2180.92221875 |
transcript.pyannote[179].end |
2183.97659375 |
transcript.pyannote[180].speaker |
SPEAKER_03 |
transcript.pyannote[180].start |
2184.97221875 |
transcript.pyannote[180].end |
2186.32221875 |
transcript.pyannote[181].speaker |
SPEAKER_03 |
transcript.pyannote[181].start |
2186.82846875 |
transcript.pyannote[181].end |
2194.28721875 |
transcript.pyannote[182].speaker |
SPEAKER_03 |
transcript.pyannote[182].start |
2195.51909375 |
transcript.pyannote[182].end |
2198.64096875 |
transcript.pyannote[183].speaker |
SPEAKER_03 |
transcript.pyannote[183].start |
2198.82659375 |
transcript.pyannote[183].end |
2202.04971875 |
transcript.pyannote[184].speaker |
SPEAKER_03 |
transcript.pyannote[184].start |
2204.07471875 |
transcript.pyannote[184].end |
2204.91846875 |
transcript.pyannote[185].speaker |
SPEAKER_03 |
transcript.pyannote[185].start |
2208.68159375 |
transcript.pyannote[185].end |
2209.81221875 |
transcript.pyannote[186].speaker |
SPEAKER_03 |
transcript.pyannote[186].start |
2210.31846875 |
transcript.pyannote[186].end |
2211.14534375 |
transcript.pyannote[187].speaker |
SPEAKER_03 |
transcript.pyannote[187].start |
2213.28846875 |
transcript.pyannote[187].end |
2213.54159375 |
transcript.pyannote[188].speaker |
SPEAKER_03 |
transcript.pyannote[188].start |
2214.35159375 |
transcript.pyannote[188].end |
2217.74346875 |
transcript.pyannote[189].speaker |
SPEAKER_03 |
transcript.pyannote[189].start |
2219.21159375 |
transcript.pyannote[189].end |
2235.86721875 |
transcript.pyannote[190].speaker |
SPEAKER_03 |
transcript.pyannote[190].start |
2236.10346875 |
transcript.pyannote[190].end |
2243.83221875 |
transcript.pyannote[191].speaker |
SPEAKER_03 |
transcript.pyannote[191].start |
2244.76034375 |
transcript.pyannote[191].end |
2255.62784375 |
transcript.pyannote[192].speaker |
SPEAKER_03 |
transcript.pyannote[192].start |
2256.67409375 |
transcript.pyannote[192].end |
2265.65159375 |
transcript.pyannote[193].speaker |
SPEAKER_03 |
transcript.pyannote[193].start |
2266.46159375 |
transcript.pyannote[193].end |
2271.10221875 |
transcript.pyannote[194].speaker |
SPEAKER_03 |
transcript.pyannote[194].start |
2272.63784375 |
transcript.pyannote[194].end |
2274.44346875 |
transcript.pyannote[195].speaker |
SPEAKER_03 |
transcript.pyannote[195].start |
2275.69221875 |
transcript.pyannote[195].end |
2280.85596875 |
transcript.pyannote[196].speaker |
SPEAKER_03 |
transcript.pyannote[196].start |
2282.07096875 |
transcript.pyannote[196].end |
2282.18909375 |
transcript.pyannote[197].speaker |
SPEAKER_03 |
transcript.pyannote[197].start |
2282.61096875 |
transcript.pyannote[197].end |
2301.37596875 |
transcript.pyannote[198].speaker |
SPEAKER_03 |
transcript.pyannote[198].start |
2302.21971875 |
transcript.pyannote[198].end |
2306.43846875 |
transcript.pyannote[199].speaker |
SPEAKER_03 |
transcript.pyannote[199].start |
2306.86034375 |
transcript.pyannote[199].end |
2309.27346875 |
transcript.pyannote[200].speaker |
SPEAKER_03 |
transcript.pyannote[200].start |
2309.61096875 |
transcript.pyannote[200].end |
2323.81971875 |
transcript.pyannote[201].speaker |
SPEAKER_03 |
transcript.pyannote[201].start |
2324.98409375 |
transcript.pyannote[201].end |
2329.03409375 |
transcript.pyannote[202].speaker |
SPEAKER_03 |
transcript.pyannote[202].start |
2329.57409375 |
transcript.pyannote[202].end |
2332.67909375 |
transcript.pyannote[203].speaker |
SPEAKER_03 |
transcript.pyannote[203].start |
2333.80971875 |
transcript.pyannote[203].end |
2334.68721875 |
transcript.pyannote[204].speaker |
SPEAKER_03 |
transcript.pyannote[204].start |
2335.63221875 |
transcript.pyannote[204].end |
2339.88471875 |
transcript.pyannote[205].speaker |
SPEAKER_03 |
transcript.pyannote[205].start |
2339.96909375 |
transcript.pyannote[205].end |
2340.01971875 |
transcript.pyannote[206].speaker |
SPEAKER_03 |
transcript.pyannote[206].start |
2340.28971875 |
transcript.pyannote[206].end |
2351.29221875 |
transcript.pyannote[207].speaker |
SPEAKER_03 |
transcript.pyannote[207].start |
2352.25409375 |
transcript.pyannote[207].end |
2352.79409375 |
transcript.pyannote[208].speaker |
SPEAKER_03 |
transcript.pyannote[208].start |
2353.31721875 |
transcript.pyannote[208].end |
2363.35784375 |
transcript.pyannote[209].speaker |
SPEAKER_03 |
transcript.pyannote[209].start |
2364.55596875 |
transcript.pyannote[209].end |
2369.02784375 |
transcript.pyannote[210].speaker |
SPEAKER_03 |
transcript.pyannote[210].start |
2369.63534375 |
transcript.pyannote[210].end |
2374.36034375 |
transcript.pyannote[211].speaker |
SPEAKER_03 |
transcript.pyannote[211].start |
2375.33909375 |
transcript.pyannote[211].end |
2392.60221875 |
transcript.pyannote[212].speaker |
SPEAKER_03 |
transcript.pyannote[212].start |
2393.05784375 |
transcript.pyannote[212].end |
2394.93096875 |
transcript.pyannote[213].speaker |
SPEAKER_03 |
transcript.pyannote[213].start |
2395.67346875 |
transcript.pyannote[213].end |
2402.22096875 |
transcript.pyannote[214].speaker |
SPEAKER_03 |
transcript.pyannote[214].start |
2402.72721875 |
transcript.pyannote[214].end |
2419.41659375 |
transcript.pyannote[215].speaker |
SPEAKER_03 |
transcript.pyannote[215].start |
2419.46721875 |
transcript.pyannote[215].end |
2435.14409375 |
transcript.pyannote[216].speaker |
SPEAKER_03 |
transcript.pyannote[216].start |
2435.54909375 |
transcript.pyannote[216].end |
2466.85221875 |
transcript.pyannote[217].speaker |
SPEAKER_03 |
transcript.pyannote[217].start |
2468.18534375 |
transcript.pyannote[217].end |
2469.26534375 |
transcript.pyannote[218].speaker |
SPEAKER_03 |
transcript.pyannote[218].start |
2469.70409375 |
transcript.pyannote[218].end |
2476.01534375 |
transcript.pyannote[219].speaker |
SPEAKER_03 |
transcript.pyannote[219].start |
2476.80846875 |
transcript.pyannote[219].end |
2483.65971875 |
transcript.pyannote[220].speaker |
SPEAKER_03 |
transcript.pyannote[220].start |
2484.11534375 |
transcript.pyannote[220].end |
2491.81034375 |
transcript.pyannote[221].speaker |
SPEAKER_03 |
transcript.pyannote[221].start |
2492.63721875 |
transcript.pyannote[221].end |
2493.54846875 |
transcript.pyannote[222].speaker |
SPEAKER_03 |
transcript.pyannote[222].start |
2495.21909375 |
transcript.pyannote[222].end |
2495.74221875 |
transcript.pyannote[223].speaker |
SPEAKER_03 |
transcript.pyannote[223].start |
2496.19784375 |
transcript.pyannote[223].end |
2498.18909375 |
transcript.pyannote[224].speaker |
SPEAKER_03 |
transcript.pyannote[224].start |
2499.13409375 |
transcript.pyannote[224].end |
2522.06721875 |
transcript.pyannote[225].speaker |
SPEAKER_03 |
transcript.pyannote[225].start |
2522.75909375 |
transcript.pyannote[225].end |
2528.59784375 |
transcript.pyannote[226].speaker |
SPEAKER_03 |
transcript.pyannote[226].start |
2528.93534375 |
transcript.pyannote[226].end |
2533.32284375 |
transcript.pyannote[227].speaker |
SPEAKER_03 |
transcript.pyannote[227].start |
2534.94284375 |
transcript.pyannote[227].end |
2536.12409375 |
transcript.pyannote[228].speaker |
SPEAKER_03 |
transcript.pyannote[228].start |
2537.62596875 |
transcript.pyannote[228].end |
2537.69346875 |
transcript.pyannote[229].speaker |
SPEAKER_03 |
transcript.pyannote[229].start |
2539.11096875 |
transcript.pyannote[229].end |
2541.03471875 |
transcript.pyannote[230].speaker |
SPEAKER_03 |
transcript.pyannote[230].start |
2542.67159375 |
transcript.pyannote[230].end |
2543.83596875 |
transcript.pyannote[231].speaker |
SPEAKER_03 |
transcript.pyannote[231].start |
2543.97096875 |
transcript.pyannote[231].end |
2549.47221875 |
transcript.pyannote[232].speaker |
SPEAKER_03 |
transcript.pyannote[232].start |
2551.69971875 |
transcript.pyannote[232].end |
2560.64346875 |
transcript.pyannote[233].speaker |
SPEAKER_03 |
transcript.pyannote[233].start |
2562.12846875 |
transcript.pyannote[233].end |
2569.30034375 |
transcript.pyannote[234].speaker |
SPEAKER_03 |
transcript.pyannote[234].start |
2569.80659375 |
transcript.pyannote[234].end |
2580.28596875 |
transcript.pyannote[235].speaker |
SPEAKER_03 |
transcript.pyannote[235].start |
2580.97784375 |
transcript.pyannote[235].end |
2585.31471875 |
transcript.pyannote[236].speaker |
SPEAKER_03 |
transcript.pyannote[236].start |
2591.76096875 |
transcript.pyannote[236].end |
2593.73534375 |
transcript.pyannote[237].speaker |
SPEAKER_03 |
transcript.pyannote[237].start |
2594.64659375 |
transcript.pyannote[237].end |
2599.35471875 |
transcript.pyannote[238].speaker |
SPEAKER_03 |
transcript.pyannote[238].start |
2599.91159375 |
transcript.pyannote[238].end |
2605.41284375 |
transcript.pyannote[239].speaker |
SPEAKER_03 |
transcript.pyannote[239].start |
2606.35784375 |
transcript.pyannote[239].end |
2612.21346875 |
transcript.pyannote[240].speaker |
SPEAKER_03 |
transcript.pyannote[240].start |
2613.91784375 |
transcript.pyannote[240].end |
2621.91659375 |
transcript.pyannote[241].speaker |
SPEAKER_03 |
transcript.pyannote[241].start |
2622.79409375 |
transcript.pyannote[241].end |
2625.27471875 |
transcript.pyannote[242].speaker |
SPEAKER_03 |
transcript.pyannote[242].start |
2625.81471875 |
transcript.pyannote[242].end |
2630.67471875 |
transcript.pyannote[243].speaker |
SPEAKER_03 |
transcript.pyannote[243].start |
2630.96159375 |
transcript.pyannote[243].end |
2634.74159375 |
transcript.pyannote[244].speaker |
SPEAKER_03 |
transcript.pyannote[244].start |
2634.85971875 |
transcript.pyannote[244].end |
2642.26784375 |
transcript.pyannote[245].speaker |
SPEAKER_03 |
transcript.pyannote[245].start |
2642.84159375 |
transcript.pyannote[245].end |
2657.60721875 |
transcript.pyannote[246].speaker |
SPEAKER_03 |
transcript.pyannote[246].start |
2662.31534375 |
transcript.pyannote[246].end |
2662.85534375 |
transcript.pyannote[247].speaker |
SPEAKER_03 |
transcript.pyannote[247].start |
2663.64846875 |
transcript.pyannote[247].end |
2671.17471875 |
transcript.pyannote[248].speaker |
SPEAKER_03 |
transcript.pyannote[248].start |
2671.56284375 |
transcript.pyannote[248].end |
2676.30471875 |
transcript.pyannote[249].speaker |
SPEAKER_03 |
transcript.pyannote[249].start |
2677.04721875 |
transcript.pyannote[249].end |
2682.78471875 |
transcript.pyannote[250].speaker |
SPEAKER_03 |
transcript.pyannote[250].start |
2683.05471875 |
transcript.pyannote[250].end |
2690.14221875 |
transcript.pyannote[251].speaker |
SPEAKER_03 |
transcript.pyannote[251].start |
2690.63159375 |
transcript.pyannote[251].end |
2697.85409375 |
transcript.pyannote[252].speaker |
SPEAKER_03 |
transcript.pyannote[252].start |
2699.22096875 |
transcript.pyannote[252].end |
2702.35971875 |
transcript.pyannote[253].speaker |
SPEAKER_03 |
transcript.pyannote[253].start |
2703.23721875 |
transcript.pyannote[253].end |
2724.73596875 |
transcript.pyannote[254].speaker |
SPEAKER_03 |
transcript.pyannote[254].start |
2724.92159375 |
transcript.pyannote[254].end |
2728.16159375 |
transcript.pyannote[255].speaker |
SPEAKER_03 |
transcript.pyannote[255].start |
2728.43159375 |
transcript.pyannote[255].end |
2732.86971875 |
transcript.pyannote[256].speaker |
SPEAKER_03 |
transcript.pyannote[256].start |
2733.49409375 |
transcript.pyannote[256].end |
2736.51471875 |
transcript.pyannote[257].speaker |
SPEAKER_03 |
transcript.pyannote[257].start |
2736.97034375 |
transcript.pyannote[257].end |
2737.81409375 |
transcript.pyannote[258].speaker |
SPEAKER_03 |
transcript.pyannote[258].start |
2738.65784375 |
transcript.pyannote[258].end |
2741.50971875 |
transcript.pyannote[259].speaker |
SPEAKER_03 |
transcript.pyannote[259].start |
2743.28159375 |
transcript.pyannote[259].end |
2746.74096875 |
transcript.pyannote[260].speaker |
SPEAKER_03 |
transcript.pyannote[260].start |
2746.97721875 |
transcript.pyannote[260].end |
2758.94159375 |
transcript.pyannote[261].speaker |
SPEAKER_03 |
transcript.pyannote[261].start |
2759.70096875 |
transcript.pyannote[261].end |
2760.51096875 |
transcript.pyannote[262].speaker |
SPEAKER_03 |
transcript.pyannote[262].start |
2760.89909375 |
transcript.pyannote[262].end |
2761.81034375 |
transcript.pyannote[263].speaker |
SPEAKER_03 |
transcript.pyannote[263].start |
2763.22784375 |
transcript.pyannote[263].end |
2770.41659375 |
transcript.pyannote[264].speaker |
SPEAKER_03 |
transcript.pyannote[264].start |
2774.82096875 |
transcript.pyannote[264].end |
2775.14159375 |
transcript.pyannote[265].speaker |
SPEAKER_03 |
transcript.pyannote[265].start |
2776.94721875 |
transcript.pyannote[265].end |
2777.90909375 |
transcript.pyannote[266].speaker |
SPEAKER_03 |
transcript.pyannote[266].start |
2778.92159375 |
transcript.pyannote[266].end |
2783.05596875 |
transcript.pyannote[267].speaker |
SPEAKER_03 |
transcript.pyannote[267].start |
2787.94971875 |
transcript.pyannote[267].end |
2791.91534375 |
transcript.pyannote[268].speaker |
SPEAKER_03 |
transcript.pyannote[268].start |
2794.44659375 |
transcript.pyannote[268].end |
2796.47159375 |
transcript.pyannote[269].speaker |
SPEAKER_03 |
transcript.pyannote[269].start |
2797.43346875 |
transcript.pyannote[269].end |
2800.03221875 |
transcript.pyannote[270].speaker |
SPEAKER_03 |
transcript.pyannote[270].start |
2800.58909375 |
transcript.pyannote[270].end |
2808.87471875 |
transcript.pyannote[271].speaker |
SPEAKER_03 |
transcript.pyannote[271].start |
2817.12659375 |
transcript.pyannote[271].end |
2817.78471875 |
transcript.pyannote[272].speaker |
SPEAKER_03 |
transcript.pyannote[272].start |
2819.64096875 |
transcript.pyannote[272].end |
2826.15471875 |
transcript.pyannote[273].speaker |
SPEAKER_03 |
transcript.pyannote[273].start |
2826.71159375 |
transcript.pyannote[273].end |
2829.39471875 |
transcript.pyannote[274].speaker |
SPEAKER_03 |
transcript.pyannote[274].start |
2831.40284375 |
transcript.pyannote[274].end |
2843.11409375 |
transcript.pyannote[275].speaker |
SPEAKER_03 |
transcript.pyannote[275].start |
2843.29971875 |
transcript.pyannote[275].end |
2843.55284375 |
transcript.pyannote[276].speaker |
SPEAKER_03 |
transcript.pyannote[276].start |
2844.64971875 |
transcript.pyannote[276].end |
2850.25221875 |
transcript.pyannote[277].speaker |
SPEAKER_03 |
transcript.pyannote[277].start |
2851.83846875 |
transcript.pyannote[277].end |
2853.18846875 |
transcript.pyannote[278].speaker |
SPEAKER_03 |
transcript.pyannote[278].start |
2856.63096875 |
transcript.pyannote[278].end |
2866.03034375 |
transcript.pyannote[279].speaker |
SPEAKER_03 |
transcript.pyannote[279].start |
2866.06409375 |
transcript.pyannote[279].end |
2870.82284375 |
transcript.pyannote[280].speaker |
SPEAKER_03 |
transcript.pyannote[280].start |
2871.48096875 |
transcript.pyannote[280].end |
2874.88971875 |
transcript.pyannote[281].speaker |
SPEAKER_03 |
transcript.pyannote[281].start |
2875.15971875 |
transcript.pyannote[281].end |
2887.90034375 |
transcript.pyannote[282].speaker |
SPEAKER_03 |
transcript.pyannote[282].start |
2887.96784375 |
transcript.pyannote[282].end |
2888.03534375 |
transcript.pyannote[283].speaker |
SPEAKER_03 |
transcript.pyannote[283].start |
2888.59221875 |
transcript.pyannote[283].end |
2890.54971875 |
transcript.pyannote[284].speaker |
SPEAKER_03 |
transcript.pyannote[284].start |
2894.32971875 |
transcript.pyannote[284].end |
2904.64034375 |
transcript.pyannote[285].speaker |
SPEAKER_03 |
transcript.pyannote[285].start |
2905.38284375 |
transcript.pyannote[285].end |
2926.03784375 |
transcript.pyannote[286].speaker |
SPEAKER_03 |
transcript.pyannote[286].start |
2926.44284375 |
transcript.pyannote[286].end |
2927.60721875 |
transcript.pyannote[287].speaker |
SPEAKER_03 |
transcript.pyannote[287].start |
2928.04596875 |
transcript.pyannote[287].end |
2946.77721875 |
transcript.pyannote[288].speaker |
SPEAKER_03 |
transcript.pyannote[288].start |
2949.13971875 |
transcript.pyannote[288].end |
2963.68596875 |
transcript.pyannote[289].speaker |
SPEAKER_03 |
transcript.pyannote[289].start |
2963.82096875 |
transcript.pyannote[289].end |
2979.12659375 |
transcript.pyannote[290].speaker |
SPEAKER_03 |
transcript.pyannote[290].start |
2980.24034375 |
transcript.pyannote[290].end |
2988.08721875 |
transcript.pyannote[291].speaker |
SPEAKER_03 |
transcript.pyannote[291].start |
2989.04909375 |
transcript.pyannote[291].end |
3005.01284375 |
transcript.pyannote[292].speaker |
SPEAKER_03 |
transcript.pyannote[292].start |
3005.24909375 |
transcript.pyannote[292].end |
3015.07034375 |
transcript.pyannote[293].speaker |
SPEAKER_03 |
transcript.pyannote[293].start |
3015.89721875 |
transcript.pyannote[293].end |
3039.38721875 |
transcript.pyannote[294].speaker |
SPEAKER_03 |
transcript.pyannote[294].start |
3040.88909375 |
transcript.pyannote[294].end |
3044.04471875 |
transcript.pyannote[295].speaker |
SPEAKER_03 |
transcript.pyannote[295].start |
3045.00659375 |
transcript.pyannote[295].end |
3058.03409375 |
transcript.pyannote[296].speaker |
SPEAKER_03 |
transcript.pyannote[296].start |
3058.77659375 |
transcript.pyannote[296].end |
3063.75471875 |
transcript.pyannote[297].speaker |
SPEAKER_03 |
transcript.pyannote[297].start |
3063.99096875 |
transcript.pyannote[297].end |
3065.96534375 |
transcript.pyannote[298].speaker |
SPEAKER_03 |
transcript.pyannote[298].start |
3068.66534375 |
transcript.pyannote[298].end |
3083.56596875 |
transcript.pyannote[299].speaker |
SPEAKER_03 |
transcript.pyannote[299].start |
3083.97096875 |
transcript.pyannote[299].end |
3088.18971875 |
transcript.pyannote[300].speaker |
SPEAKER_03 |
transcript.pyannote[300].start |
3089.60721875 |
transcript.pyannote[300].end |
3090.13034375 |
transcript.pyannote[301].speaker |
SPEAKER_03 |
transcript.pyannote[301].start |
3091.71659375 |
transcript.pyannote[301].end |
3097.25159375 |
transcript.pyannote[302].speaker |
SPEAKER_03 |
transcript.pyannote[302].start |
3098.28096875 |
transcript.pyannote[302].end |
3112.00034375 |
transcript.pyannote[303].speaker |
SPEAKER_03 |
transcript.pyannote[303].start |
3112.79346875 |
transcript.pyannote[303].end |
3114.53159375 |
transcript.pyannote[304].speaker |
SPEAKER_03 |
transcript.pyannote[304].start |
3115.08846875 |
transcript.pyannote[304].end |
3116.06721875 |
transcript.pyannote[305].speaker |
SPEAKER_03 |
transcript.pyannote[305].start |
3116.52284375 |
transcript.pyannote[305].end |
3132.23346875 |
transcript.pyannote[306].speaker |
SPEAKER_03 |
transcript.pyannote[306].start |
3134.29221875 |
transcript.pyannote[306].end |
3135.72659375 |
transcript.pyannote[307].speaker |
SPEAKER_03 |
transcript.pyannote[307].start |
3136.18221875 |
transcript.pyannote[307].end |
3147.43784375 |
transcript.pyannote[308].speaker |
SPEAKER_03 |
transcript.pyannote[308].start |
3147.80909375 |
transcript.pyannote[308].end |
3153.10784375 |
transcript.pyannote[309].speaker |
SPEAKER_03 |
transcript.pyannote[309].start |
3154.37346875 |
transcript.pyannote[309].end |
3158.47409375 |
transcript.pyannote[310].speaker |
SPEAKER_03 |
transcript.pyannote[310].start |
3159.25034375 |
transcript.pyannote[310].end |
3172.76721875 |
transcript.pyannote[311].speaker |
SPEAKER_03 |
transcript.pyannote[311].start |
3173.10471875 |
transcript.pyannote[311].end |
3183.92159375 |
transcript.pyannote[312].speaker |
SPEAKER_03 |
transcript.pyannote[312].start |
3185.37284375 |
transcript.pyannote[312].end |
3188.98409375 |
transcript.pyannote[313].speaker |
SPEAKER_03 |
transcript.pyannote[313].start |
3189.27096875 |
transcript.pyannote[313].end |
3207.49596875 |
transcript.pyannote[314].speaker |
SPEAKER_03 |
transcript.pyannote[314].start |
3208.40721875 |
transcript.pyannote[314].end |
3209.53784375 |
transcript.pyannote[315].speaker |
SPEAKER_03 |
transcript.pyannote[315].start |
3209.99346875 |
transcript.pyannote[315].end |
3218.38034375 |
transcript.pyannote[316].speaker |
SPEAKER_03 |
transcript.pyannote[316].start |
3218.56596875 |
transcript.pyannote[316].end |
3219.46034375 |
transcript.pyannote[317].speaker |
SPEAKER_03 |
transcript.pyannote[317].start |
3219.93284375 |
transcript.pyannote[317].end |
3263.70659375 |
transcript.pyannote[318].speaker |
SPEAKER_03 |
transcript.pyannote[318].start |
3264.70221875 |
transcript.pyannote[318].end |
3273.61221875 |
transcript.pyannote[319].speaker |
SPEAKER_03 |
transcript.pyannote[319].start |
3273.91596875 |
transcript.pyannote[319].end |
3278.86034375 |
transcript.pyannote[320].speaker |
SPEAKER_03 |
transcript.pyannote[320].start |
3280.64909375 |
transcript.pyannote[320].end |
3280.98659375 |
transcript.pyannote[321].speaker |
SPEAKER_03 |
transcript.pyannote[321].start |
3282.04971875 |
transcript.pyannote[321].end |
3283.31534375 |
transcript.pyannote[322].speaker |
SPEAKER_03 |
transcript.pyannote[322].start |
3283.63596875 |
transcript.pyannote[322].end |
3285.40784375 |
transcript.pyannote[323].speaker |
SPEAKER_03 |
transcript.pyannote[323].start |
3286.25159375 |
transcript.pyannote[323].end |
3286.99409375 |
transcript.pyannote[324].speaker |
SPEAKER_03 |
transcript.pyannote[324].start |
3287.60159375 |
transcript.pyannote[324].end |
3290.16659375 |
transcript.pyannote[325].speaker |
SPEAKER_03 |
transcript.pyannote[325].start |
3290.92596875 |
transcript.pyannote[325].end |
3292.73159375 |
transcript.pyannote[326].speaker |
SPEAKER_03 |
transcript.pyannote[326].start |
3294.04784375 |
transcript.pyannote[326].end |
3300.46034375 |
transcript.pyannote[327].speaker |
SPEAKER_03 |
transcript.pyannote[327].start |
3301.06784375 |
transcript.pyannote[327].end |
3312.88034375 |
transcript.pyannote[328].speaker |
SPEAKER_03 |
transcript.pyannote[328].start |
3313.67346875 |
transcript.pyannote[328].end |
3322.49909375 |
transcript.pyannote[329].speaker |
SPEAKER_03 |
transcript.pyannote[329].start |
3323.52846875 |
transcript.pyannote[329].end |
3330.17721875 |
transcript.pyannote[330].speaker |
SPEAKER_03 |
transcript.pyannote[330].start |
3330.39659375 |
transcript.pyannote[330].end |
3333.01221875 |
transcript.pyannote[331].speaker |
SPEAKER_03 |
transcript.pyannote[331].start |
3333.46784375 |
transcript.pyannote[331].end |
3346.22534375 |
transcript.pyannote[332].speaker |
SPEAKER_03 |
transcript.pyannote[332].start |
3350.52846875 |
transcript.pyannote[332].end |
3351.23721875 |
transcript.pyannote[333].speaker |
SPEAKER_03 |
transcript.pyannote[333].start |
3353.95409375 |
transcript.pyannote[333].end |
3355.84409375 |
transcript.pyannote[334].speaker |
SPEAKER_03 |
transcript.pyannote[334].start |
3357.49784375 |
transcript.pyannote[334].end |
3358.49346875 |
transcript.pyannote[335].speaker |
SPEAKER_03 |
transcript.pyannote[335].start |
3361.22721875 |
transcript.pyannote[335].end |
3361.66596875 |
transcript.pyannote[336].speaker |
SPEAKER_03 |
transcript.pyannote[336].start |
3362.72909375 |
transcript.pyannote[336].end |
3363.74159375 |
transcript.pyannote[337].speaker |
SPEAKER_03 |
transcript.pyannote[337].start |
3364.43346875 |
transcript.pyannote[337].end |
3378.32159375 |
transcript.pyannote[338].speaker |
SPEAKER_03 |
transcript.pyannote[338].start |
3380.41409375 |
transcript.pyannote[338].end |
3383.70471875 |
transcript.pyannote[339].speaker |
SPEAKER_03 |
transcript.pyannote[339].start |
3384.51471875 |
transcript.pyannote[339].end |
3389.76284375 |
transcript.pyannote[340].speaker |
SPEAKER_03 |
transcript.pyannote[340].start |
3391.07909375 |
transcript.pyannote[340].end |
3392.31096875 |
transcript.pyannote[341].speaker |
SPEAKER_03 |
transcript.pyannote[341].start |
3393.34034375 |
transcript.pyannote[341].end |
3406.13159375 |
transcript.pyannote[342].speaker |
SPEAKER_03 |
transcript.pyannote[342].start |
3406.78971875 |
transcript.pyannote[342].end |
3415.34534375 |
transcript.pyannote[343].speaker |
SPEAKER_03 |
transcript.pyannote[343].start |
3415.46346875 |
transcript.pyannote[343].end |
3416.54346875 |
transcript.pyannote[344].speaker |
SPEAKER_03 |
transcript.pyannote[344].start |
3417.85971875 |
transcript.pyannote[344].end |
3418.95659375 |
transcript.pyannote[345].speaker |
SPEAKER_03 |
transcript.pyannote[345].start |
3419.46284375 |
transcript.pyannote[345].end |
3438.98721875 |
transcript.pyannote[346].speaker |
SPEAKER_03 |
transcript.pyannote[346].start |
3439.72971875 |
transcript.pyannote[346].end |
3445.75409375 |
transcript.pyannote[347].speaker |
SPEAKER_03 |
transcript.pyannote[347].start |
3445.80471875 |
transcript.pyannote[347].end |
3458.69721875 |
transcript.pyannote[348].speaker |
SPEAKER_03 |
transcript.pyannote[348].start |
3459.00096875 |
transcript.pyannote[348].end |
3467.50596875 |
transcript.pyannote[349].speaker |
SPEAKER_03 |
transcript.pyannote[349].start |
3468.02909375 |
transcript.pyannote[349].end |
3469.51409375 |
transcript.pyannote[350].speaker |
SPEAKER_03 |
transcript.pyannote[350].start |
3470.34096875 |
transcript.pyannote[350].end |
3470.61096875 |
transcript.pyannote[351].speaker |
SPEAKER_03 |
transcript.pyannote[351].start |
3470.86409375 |
transcript.pyannote[351].end |
3513.99659375 |
transcript.pyannote[352].speaker |
SPEAKER_03 |
transcript.pyannote[352].start |
3517.89471875 |
transcript.pyannote[352].end |
3522.60284375 |
transcript.pyannote[353].speaker |
SPEAKER_03 |
transcript.pyannote[353].start |
3522.83909375 |
transcript.pyannote[353].end |
3534.66846875 |
transcript.pyannote[354].speaker |
SPEAKER_03 |
transcript.pyannote[354].start |
3535.91721875 |
transcript.pyannote[354].end |
3541.04721875 |
transcript.pyannote[355].speaker |
SPEAKER_03 |
transcript.pyannote[355].start |
3541.57034375 |
transcript.pyannote[355].end |
3557.36534375 |
transcript.pyannote[356].speaker |
SPEAKER_03 |
transcript.pyannote[356].start |
3558.14159375 |
transcript.pyannote[356].end |
3579.21846875 |
transcript.pyannote[357].speaker |
SPEAKER_03 |
transcript.pyannote[357].start |
3580.01159375 |
transcript.pyannote[357].end |
3586.52534375 |
transcript.pyannote[358].speaker |
SPEAKER_03 |
transcript.pyannote[358].start |
3588.75284375 |
transcript.pyannote[358].end |
3591.92534375 |
transcript.pyannote[359].speaker |
SPEAKER_03 |
transcript.pyannote[359].start |
3593.12346875 |
transcript.pyannote[359].end |
3595.87409375 |
transcript.pyannote[360].speaker |
SPEAKER_03 |
transcript.pyannote[360].start |
3598.94534375 |
transcript.pyannote[360].end |
3603.95721875 |
transcript.pyannote[361].speaker |
SPEAKER_03 |
transcript.pyannote[361].start |
3604.83471875 |
transcript.pyannote[361].end |
3606.45471875 |
transcript.pyannote[362].speaker |
SPEAKER_03 |
transcript.pyannote[362].start |
3607.72034375 |
transcript.pyannote[362].end |
3610.50471875 |
transcript.pyannote[363].speaker |
SPEAKER_03 |
transcript.pyannote[363].start |
3610.74096875 |
transcript.pyannote[363].end |
3611.63534375 |
transcript.pyannote[364].speaker |
SPEAKER_03 |
transcript.pyannote[364].start |
3612.83346875 |
transcript.pyannote[364].end |
3628.24034375 |
transcript.pyannote[365].speaker |
SPEAKER_03 |
transcript.pyannote[365].start |
3629.18534375 |
transcript.pyannote[365].end |
3634.21409375 |
transcript.pyannote[366].speaker |
SPEAKER_03 |
transcript.pyannote[366].start |
3635.22659375 |
transcript.pyannote[366].end |
3636.81284375 |
transcript.pyannote[367].speaker |
SPEAKER_03 |
transcript.pyannote[367].start |
3637.08284375 |
transcript.pyannote[367].end |
3638.34846875 |
transcript.pyannote[368].speaker |
SPEAKER_03 |
transcript.pyannote[368].start |
3639.63096875 |
transcript.pyannote[368].end |
3641.06534375 |
transcript.pyannote[369].speaker |
SPEAKER_03 |
transcript.pyannote[369].start |
3644.65971875 |
transcript.pyannote[369].end |
3665.02784375 |
transcript.pyannote[370].speaker |
SPEAKER_03 |
transcript.pyannote[370].start |
3665.70284375 |
transcript.pyannote[370].end |
3667.45784375 |
transcript.pyannote[371].speaker |
SPEAKER_03 |
transcript.pyannote[371].start |
3670.37721875 |
transcript.pyannote[371].end |
3671.79471875 |
transcript.pyannote[372].speaker |
SPEAKER_03 |
transcript.pyannote[372].start |
3672.08159375 |
transcript.pyannote[372].end |
3673.24596875 |
transcript.pyannote[373].speaker |
SPEAKER_03 |
transcript.pyannote[373].start |
3673.78596875 |
transcript.pyannote[373].end |
3674.57909375 |
transcript.pyannote[374].speaker |
SPEAKER_03 |
transcript.pyannote[374].start |
3677.78534375 |
transcript.pyannote[374].end |
3679.01721875 |
transcript.pyannote[375].speaker |
SPEAKER_03 |
transcript.pyannote[375].start |
3680.23221875 |
transcript.pyannote[375].end |
3681.39659375 |
transcript.pyannote[376].speaker |
SPEAKER_03 |
transcript.pyannote[376].start |
3682.98284375 |
transcript.pyannote[376].end |
3689.29409375 |
transcript.pyannote[377].speaker |
SPEAKER_03 |
transcript.pyannote[377].start |
3690.05346875 |
transcript.pyannote[377].end |
3696.56721875 |
transcript.pyannote[378].speaker |
SPEAKER_03 |
transcript.pyannote[378].start |
3697.44471875 |
transcript.pyannote[378].end |
3698.62596875 |
transcript.pyannote[379].speaker |
SPEAKER_03 |
transcript.pyannote[379].start |
3701.17409375 |
transcript.pyannote[379].end |
3701.62971875 |
transcript.pyannote[380].speaker |
SPEAKER_03 |
transcript.pyannote[380].start |
3704.04284375 |
transcript.pyannote[380].end |
3721.57596875 |
transcript.pyannote[381].speaker |
SPEAKER_03 |
transcript.pyannote[381].start |
3721.93034375 |
transcript.pyannote[381].end |
3734.21534375 |
transcript.pyannote[382].speaker |
SPEAKER_03 |
transcript.pyannote[382].start |
3734.45159375 |
transcript.pyannote[382].end |
3738.82221875 |
transcript.pyannote[383].speaker |
SPEAKER_03 |
transcript.pyannote[383].start |
3740.13846875 |
transcript.pyannote[383].end |
3745.38659375 |
transcript.pyannote[384].speaker |
SPEAKER_03 |
transcript.pyannote[384].start |
3746.01096875 |
transcript.pyannote[384].end |
3749.48721875 |
transcript.pyannote[385].speaker |
SPEAKER_03 |
transcript.pyannote[385].start |
3750.16221875 |
transcript.pyannote[385].end |
3753.87471875 |
transcript.pyannote[386].speaker |
SPEAKER_03 |
transcript.pyannote[386].start |
3754.43159375 |
transcript.pyannote[386].end |
3760.94534375 |
transcript.pyannote[387].speaker |
SPEAKER_03 |
transcript.pyannote[387].start |
3761.16471875 |
transcript.pyannote[387].end |
3762.59909375 |
transcript.pyannote[388].speaker |
SPEAKER_03 |
transcript.pyannote[388].start |
3763.54409375 |
transcript.pyannote[388].end |
3772.63971875 |
transcript.pyannote[389].speaker |
SPEAKER_03 |
transcript.pyannote[389].start |
3773.39909375 |
transcript.pyannote[389].end |
3774.47909375 |
transcript.pyannote[390].speaker |
SPEAKER_03 |
transcript.pyannote[390].start |
3775.55909375 |
transcript.pyannote[390].end |
3777.02721875 |
transcript.pyannote[391].speaker |
SPEAKER_03 |
transcript.pyannote[391].start |
3777.61784375 |
transcript.pyannote[391].end |
3811.55346875 |
transcript.pyannote[392].speaker |
SPEAKER_03 |
transcript.pyannote[392].start |
3812.85284375 |
transcript.pyannote[392].end |
3817.15596875 |
transcript.pyannote[393].speaker |
SPEAKER_03 |
transcript.pyannote[393].start |
3817.45971875 |
transcript.pyannote[393].end |
3820.31159375 |
transcript.pyannote[394].speaker |
SPEAKER_03 |
transcript.pyannote[394].start |
3822.79221875 |
transcript.pyannote[394].end |
3826.09971875 |
transcript.pyannote[395].speaker |
SPEAKER_03 |
transcript.pyannote[395].start |
3828.10784375 |
transcript.pyannote[395].end |
3830.84159375 |
transcript.pyannote[396].speaker |
SPEAKER_03 |
transcript.pyannote[396].start |
3830.97659375 |
transcript.pyannote[396].end |
3832.90034375 |
transcript.pyannote[397].speaker |
SPEAKER_03 |
transcript.pyannote[397].start |
3833.59221875 |
transcript.pyannote[397].end |
3837.59159375 |
transcript.pyannote[398].speaker |
SPEAKER_03 |
transcript.pyannote[398].start |
3838.33409375 |
transcript.pyannote[398].end |
3842.87346875 |
transcript.pyannote[399].speaker |
SPEAKER_03 |
transcript.pyannote[399].start |
3844.56096875 |
transcript.pyannote[399].end |
3849.40409375 |
transcript.pyannote[400].speaker |
SPEAKER_03 |
transcript.pyannote[400].start |
3851.00721875 |
transcript.pyannote[400].end |
3852.03659375 |
transcript.pyannote[401].speaker |
SPEAKER_03 |
transcript.pyannote[401].start |
3852.93096875 |
transcript.pyannote[401].end |
3853.96034375 |
transcript.pyannote[402].speaker |
SPEAKER_03 |
transcript.pyannote[402].start |
3854.33159375 |
transcript.pyannote[402].end |
3855.81659375 |
transcript.pyannote[403].speaker |
SPEAKER_03 |
transcript.pyannote[403].start |
3856.98096875 |
transcript.pyannote[403].end |
3858.26346875 |
transcript.pyannote[404].speaker |
SPEAKER_03 |
transcript.pyannote[404].start |
3858.56721875 |
transcript.pyannote[404].end |
3859.49534375 |
transcript.pyannote[405].speaker |
SPEAKER_03 |
transcript.pyannote[405].start |
3860.44034375 |
transcript.pyannote[405].end |
3869.19846875 |
transcript.pyannote[406].speaker |
SPEAKER_03 |
transcript.pyannote[406].start |
3870.22784375 |
transcript.pyannote[406].end |
3883.60971875 |
transcript.pyannote[407].speaker |
SPEAKER_03 |
transcript.pyannote[407].start |
3884.67284375 |
transcript.pyannote[407].end |
3886.20846875 |
transcript.pyannote[408].speaker |
SPEAKER_03 |
transcript.pyannote[408].start |
3888.52034375 |
transcript.pyannote[408].end |
3889.71846875 |
transcript.pyannote[409].speaker |
SPEAKER_03 |
transcript.pyannote[409].start |
3892.58721875 |
transcript.pyannote[409].end |
3896.02971875 |
transcript.pyannote[410].speaker |
SPEAKER_03 |
transcript.pyannote[410].start |
3897.09284375 |
transcript.pyannote[410].end |
3904.45034375 |
transcript.pyannote[411].speaker |
SPEAKER_03 |
transcript.pyannote[411].start |
3905.86784375 |
transcript.pyannote[411].end |
3918.77721875 |
transcript.pyannote[412].speaker |
SPEAKER_03 |
transcript.pyannote[412].start |
3919.97534375 |
transcript.pyannote[412].end |
3921.89909375 |
transcript.pyannote[413].speaker |
SPEAKER_03 |
transcript.pyannote[413].start |
3923.50221875 |
transcript.pyannote[413].end |
3925.03784375 |
transcript.pyannote[414].speaker |
SPEAKER_03 |
transcript.pyannote[414].start |
3926.16846875 |
transcript.pyannote[414].end |
3928.12596875 |
transcript.pyannote[415].speaker |
SPEAKER_03 |
transcript.pyannote[415].start |
3929.47596875 |
transcript.pyannote[415].end |
3937.03596875 |
transcript.pyannote[416].speaker |
SPEAKER_03 |
transcript.pyannote[416].start |
3938.30159375 |
transcript.pyannote[416].end |
3944.51159375 |
transcript.pyannote[417].speaker |
SPEAKER_03 |
transcript.pyannote[417].start |
3944.89971875 |
transcript.pyannote[417].end |
3959.90159375 |
transcript.pyannote[418].speaker |
SPEAKER_03 |
transcript.pyannote[418].start |
3962.31471875 |
transcript.pyannote[418].end |
3963.24284375 |
transcript.pyannote[419].speaker |
SPEAKER_03 |
transcript.pyannote[419].start |
3966.56721875 |
transcript.pyannote[419].end |
3969.82409375 |
transcript.pyannote[420].speaker |
SPEAKER_03 |
transcript.pyannote[420].start |
3970.75221875 |
transcript.pyannote[420].end |
3971.86596875 |
transcript.pyannote[421].speaker |
SPEAKER_03 |
transcript.pyannote[421].start |
3971.96721875 |
transcript.pyannote[421].end |
3972.01784375 |
transcript.pyannote[422].speaker |
SPEAKER_03 |
transcript.pyannote[422].start |
3972.13596875 |
transcript.pyannote[422].end |
3987.74534375 |
transcript.pyannote[423].speaker |
SPEAKER_03 |
transcript.pyannote[423].start |
3988.99409375 |
transcript.pyannote[423].end |
3992.18346875 |
transcript.pyannote[424].speaker |
SPEAKER_03 |
transcript.pyannote[424].start |
3992.82471875 |
transcript.pyannote[424].end |
3995.38971875 |
transcript.pyannote[425].speaker |
SPEAKER_03 |
transcript.pyannote[425].start |
3995.44034375 |
transcript.pyannote[425].end |
3999.03471875 |
transcript.pyannote[426].speaker |
SPEAKER_03 |
transcript.pyannote[426].start |
3999.87846875 |
transcript.pyannote[426].end |
4002.79784375 |
transcript.pyannote[427].speaker |
SPEAKER_03 |
transcript.pyannote[427].start |
4004.87346875 |
transcript.pyannote[427].end |
4008.75471875 |
transcript.pyannote[428].speaker |
SPEAKER_03 |
transcript.pyannote[428].start |
4009.27784375 |
transcript.pyannote[428].end |
4018.93034375 |
transcript.pyannote[429].speaker |
SPEAKER_03 |
transcript.pyannote[429].start |
4020.49971875 |
transcript.pyannote[429].end |
4023.65534375 |
transcript.pyannote[430].speaker |
SPEAKER_03 |
transcript.pyannote[430].start |
4025.08971875 |
transcript.pyannote[430].end |
4026.05159375 |
transcript.pyannote[431].speaker |
SPEAKER_03 |
transcript.pyannote[431].start |
4026.96284375 |
transcript.pyannote[431].end |
4028.39721875 |
transcript.pyannote[432].speaker |
SPEAKER_03 |
transcript.pyannote[432].start |
4028.93721875 |
transcript.pyannote[432].end |
4032.75096875 |
transcript.pyannote[433].speaker |
SPEAKER_03 |
transcript.pyannote[433].start |
4033.54409375 |
transcript.pyannote[433].end |
4037.10471875 |
transcript.pyannote[434].speaker |
SPEAKER_03 |
transcript.pyannote[434].start |
4037.81346875 |
transcript.pyannote[434].end |
4038.97784375 |
transcript.pyannote[435].speaker |
SPEAKER_03 |
transcript.pyannote[435].start |
4039.95659375 |
transcript.pyannote[435].end |
4041.52596875 |
transcript.pyannote[436].speaker |
SPEAKER_03 |
transcript.pyannote[436].start |
4043.12909375 |
transcript.pyannote[436].end |
4045.39034375 |
transcript.pyannote[437].speaker |
SPEAKER_03 |
transcript.pyannote[437].start |
4046.31846875 |
transcript.pyannote[437].end |
4063.68284375 |
transcript.pyannote[438].speaker |
SPEAKER_03 |
transcript.pyannote[438].start |
4064.45909375 |
transcript.pyannote[438].end |
4069.50471875 |
transcript.pyannote[439].speaker |
SPEAKER_03 |
transcript.pyannote[439].start |
4070.53409375 |
transcript.pyannote[439].end |
4077.63846875 |
transcript.pyannote[440].speaker |
SPEAKER_03 |
transcript.pyannote[440].start |
4078.26284375 |
transcript.pyannote[440].end |
4079.10659375 |
transcript.pyannote[441].speaker |
SPEAKER_03 |
transcript.pyannote[441].start |
4080.11909375 |
transcript.pyannote[441].end |
4087.54409375 |
transcript.pyannote[442].speaker |
SPEAKER_03 |
transcript.pyannote[442].start |
4087.94909375 |
transcript.pyannote[442].end |
4093.16346875 |
transcript.pyannote[443].speaker |
SPEAKER_03 |
transcript.pyannote[443].start |
4094.12534375 |
transcript.pyannote[443].end |
4095.22221875 |
transcript.pyannote[444].speaker |
SPEAKER_03 |
transcript.pyannote[444].start |
4095.74534375 |
transcript.pyannote[444].end |
4101.90471875 |
transcript.pyannote[445].speaker |
SPEAKER_03 |
transcript.pyannote[445].start |
4102.86659375 |
transcript.pyannote[445].end |
4104.23346875 |
transcript.pyannote[446].speaker |
SPEAKER_03 |
transcript.pyannote[446].start |
4105.65096875 |
transcript.pyannote[446].end |
4110.34221875 |
transcript.pyannote[447].speaker |
SPEAKER_03 |
transcript.pyannote[447].start |
4110.88221875 |
transcript.pyannote[447].end |
4116.80534375 |
transcript.pyannote[448].speaker |
SPEAKER_03 |
transcript.pyannote[448].start |
4118.08784375 |
transcript.pyannote[448].end |
4121.53034375 |
transcript.pyannote[449].speaker |
SPEAKER_03 |
transcript.pyannote[449].start |
4122.05346875 |
transcript.pyannote[449].end |
4123.33596875 |
transcript.pyannote[450].speaker |
SPEAKER_03 |
transcript.pyannote[450].start |
4123.55534375 |
transcript.pyannote[450].end |
4130.50784375 |
transcript.pyannote[451].speaker |
SPEAKER_03 |
transcript.pyannote[451].start |
4132.17846875 |
transcript.pyannote[451].end |
4134.81096875 |
transcript.pyannote[452].speaker |
SPEAKER_03 |
transcript.pyannote[452].start |
4136.46471875 |
transcript.pyannote[452].end |
4144.98659375 |
transcript.pyannote[453].speaker |
SPEAKER_03 |
transcript.pyannote[453].start |
4145.67846875 |
transcript.pyannote[453].end |
4157.98034375 |
transcript.pyannote[454].speaker |
SPEAKER_03 |
transcript.pyannote[454].start |
4158.94221875 |
transcript.pyannote[454].end |
4169.11784375 |
transcript.pyannote[455].speaker |
SPEAKER_03 |
transcript.pyannote[455].start |
4172.71221875 |
transcript.pyannote[455].end |
4173.92721875 |
transcript.pyannote[456].speaker |
SPEAKER_03 |
transcript.pyannote[456].start |
4173.97784375 |
transcript.pyannote[456].end |
4174.12971875 |
transcript.pyannote[457].speaker |
SPEAKER_03 |
transcript.pyannote[457].start |
4174.39971875 |
transcript.pyannote[457].end |
4203.39096875 |
transcript.pyannote[458].speaker |
SPEAKER_03 |
transcript.pyannote[458].start |
4204.75784375 |
transcript.pyannote[458].end |
4206.29346875 |
transcript.pyannote[459].speaker |
SPEAKER_03 |
transcript.pyannote[459].start |
4207.71096875 |
transcript.pyannote[459].end |
4212.55409375 |
transcript.pyannote[460].speaker |
SPEAKER_03 |
transcript.pyannote[460].start |
4214.35971875 |
transcript.pyannote[460].end |
4228.46721875 |
transcript.pyannote[461].speaker |
SPEAKER_03 |
transcript.pyannote[461].start |
4230.34034375 |
transcript.pyannote[461].end |
4244.24534375 |
transcript.pyannote[462].speaker |
SPEAKER_03 |
transcript.pyannote[462].start |
4246.35471875 |
transcript.pyannote[462].end |
4250.65784375 |
transcript.pyannote[463].speaker |
SPEAKER_03 |
transcript.pyannote[463].start |
4250.96159375 |
transcript.pyannote[463].end |
4261.08659375 |
transcript.pyannote[464].speaker |
SPEAKER_03 |
transcript.pyannote[464].start |
4261.71096875 |
transcript.pyannote[464].end |
4267.70159375 |
transcript.pyannote[465].speaker |
SPEAKER_03 |
transcript.pyannote[465].start |
4268.37659375 |
transcript.pyannote[465].end |
4271.27909375 |
transcript.pyannote[466].speaker |
SPEAKER_03 |
transcript.pyannote[466].start |
4271.78534375 |
transcript.pyannote[466].end |
4275.34596875 |
transcript.pyannote[467].speaker |
SPEAKER_03 |
transcript.pyannote[467].start |
4276.71284375 |
transcript.pyannote[467].end |
4277.75909375 |
transcript.pyannote[468].speaker |
SPEAKER_03 |
transcript.pyannote[468].start |
4279.46346875 |
transcript.pyannote[468].end |
4279.91909375 |
transcript.pyannote[469].speaker |
SPEAKER_03 |
transcript.pyannote[469].start |
4281.03284375 |
transcript.pyannote[469].end |
4283.37846875 |
transcript.pyannote[470].speaker |
SPEAKER_03 |
transcript.pyannote[470].start |
4284.54284375 |
transcript.pyannote[470].end |
4286.75346875 |
transcript.pyannote[471].speaker |
SPEAKER_03 |
transcript.pyannote[471].start |
4287.39471875 |
transcript.pyannote[471].end |
4289.30159375 |
transcript.pyannote[472].speaker |
SPEAKER_03 |
transcript.pyannote[472].start |
4289.92596875 |
transcript.pyannote[472].end |
4290.87096875 |
transcript.pyannote[473].speaker |
SPEAKER_03 |
transcript.pyannote[473].start |
4290.97221875 |
transcript.pyannote[473].end |
4299.15659375 |
transcript.pyannote[474].speaker |
SPEAKER_03 |
transcript.pyannote[474].start |
4300.28721875 |
transcript.pyannote[474].end |
4301.35034375 |
transcript.pyannote[475].speaker |
SPEAKER_03 |
transcript.pyannote[475].start |
4301.72159375 |
transcript.pyannote[475].end |
4311.54284375 |
transcript.pyannote[476].speaker |
SPEAKER_03 |
transcript.pyannote[476].start |
4312.77471875 |
transcript.pyannote[476].end |
4314.32721875 |
transcript.pyannote[477].speaker |
SPEAKER_03 |
transcript.pyannote[477].start |
4320.89159375 |
transcript.pyannote[477].end |
4324.35096875 |
transcript.pyannote[478].speaker |
SPEAKER_03 |
transcript.pyannote[478].start |
4326.19034375 |
transcript.pyannote[478].end |
4328.95784375 |
transcript.pyannote[479].speaker |
SPEAKER_03 |
transcript.pyannote[479].start |
4329.49784375 |
transcript.pyannote[479].end |
4330.69596875 |
transcript.pyannote[480].speaker |
SPEAKER_03 |
transcript.pyannote[480].start |
4332.67034375 |
transcript.pyannote[480].end |
4335.28596875 |
transcript.pyannote[481].speaker |
SPEAKER_03 |
transcript.pyannote[481].start |
4338.22221875 |
transcript.pyannote[481].end |
4339.92659375 |
transcript.pyannote[482].speaker |
SPEAKER_03 |
transcript.pyannote[482].start |
4341.27659375 |
transcript.pyannote[482].end |
4344.14534375 |
transcript.pyannote[483].speaker |
SPEAKER_03 |
transcript.pyannote[483].start |
4345.30971875 |
transcript.pyannote[483].end |
4349.10659375 |
transcript.pyannote[484].speaker |
SPEAKER_03 |
transcript.pyannote[484].start |
4351.94159375 |
transcript.pyannote[484].end |
4365.79596875 |
transcript.pyannote[485].speaker |
SPEAKER_03 |
transcript.pyannote[485].start |
4366.38659375 |
transcript.pyannote[485].end |
4368.51284375 |
transcript.pyannote[486].speaker |
SPEAKER_03 |
transcript.pyannote[486].start |
4368.61409375 |
transcript.pyannote[486].end |
4370.06534375 |
transcript.pyannote[487].speaker |
SPEAKER_03 |
transcript.pyannote[487].start |
4371.33096875 |
transcript.pyannote[487].end |
4374.52034375 |
transcript.pyannote[488].speaker |
SPEAKER_03 |
transcript.pyannote[488].start |
4375.31346875 |
transcript.pyannote[488].end |
4375.92096875 |
transcript.pyannote[489].speaker |
SPEAKER_03 |
transcript.pyannote[489].start |
4377.77721875 |
transcript.pyannote[489].end |
4380.56159375 |
transcript.pyannote[490].speaker |
SPEAKER_03 |
transcript.pyannote[490].start |
4381.60784375 |
transcript.pyannote[490].end |
4382.40096875 |
transcript.pyannote[491].speaker |
SPEAKER_03 |
transcript.pyannote[491].start |
4384.47659375 |
transcript.pyannote[491].end |
4384.98284375 |
transcript.pyannote[492].speaker |
SPEAKER_03 |
transcript.pyannote[492].start |
4387.59846875 |
transcript.pyannote[492].end |
4388.81346875 |
transcript.pyannote[493].speaker |
SPEAKER_03 |
transcript.pyannote[493].start |
4390.38284375 |
transcript.pyannote[493].end |
4398.66846875 |
transcript.pyannote[494].speaker |
SPEAKER_03 |
transcript.pyannote[494].start |
4399.54596875 |
transcript.pyannote[494].end |
4414.09221875 |
transcript.pyannote[495].speaker |
SPEAKER_03 |
transcript.pyannote[495].start |
4415.03721875 |
transcript.pyannote[495].end |
4417.18034375 |
transcript.pyannote[496].speaker |
SPEAKER_03 |
transcript.pyannote[496].start |
4417.68659375 |
transcript.pyannote[496].end |
4430.98409375 |
transcript.pyannote[497].speaker |
SPEAKER_03 |
transcript.pyannote[497].start |
4431.89534375 |
transcript.pyannote[497].end |
4437.73409375 |
transcript.pyannote[498].speaker |
SPEAKER_03 |
transcript.pyannote[498].start |
4439.38784375 |
transcript.pyannote[498].end |
4440.77159375 |
transcript.pyannote[499].speaker |
SPEAKER_03 |
transcript.pyannote[499].start |
4443.53909375 |
transcript.pyannote[499].end |
4446.50909375 |
transcript.pyannote[500].speaker |
SPEAKER_03 |
transcript.pyannote[500].start |
4449.24284375 |
transcript.pyannote[500].end |
4452.44909375 |
transcript.pyannote[501].speaker |
SPEAKER_03 |
transcript.pyannote[501].start |
4452.90471875 |
transcript.pyannote[501].end |
4456.56659375 |
transcript.pyannote[502].speaker |
SPEAKER_03 |
transcript.pyannote[502].start |
4458.50721875 |
transcript.pyannote[502].end |
4459.08096875 |
transcript.pyannote[503].speaker |
SPEAKER_03 |
transcript.pyannote[503].start |
4459.31721875 |
transcript.pyannote[503].end |
4460.93721875 |
transcript.pyannote[504].speaker |
SPEAKER_03 |
transcript.pyannote[504].start |
4462.10159375 |
transcript.pyannote[504].end |
4462.87784375 |
transcript.pyannote[505].speaker |
SPEAKER_03 |
transcript.pyannote[505].start |
4463.46846875 |
transcript.pyannote[505].end |
4466.47221875 |
transcript.pyannote[506].speaker |
SPEAKER_03 |
transcript.pyannote[506].start |
4466.96159375 |
transcript.pyannote[506].end |
4473.17159375 |
transcript.pyannote[507].speaker |
SPEAKER_03 |
transcript.pyannote[507].start |
4473.81284375 |
transcript.pyannote[507].end |
4484.69721875 |
transcript.pyannote[508].speaker |
SPEAKER_03 |
transcript.pyannote[508].start |
4485.27096875 |
transcript.pyannote[508].end |
4486.31721875 |
transcript.pyannote[509].speaker |
SPEAKER_03 |
transcript.pyannote[509].start |
4486.95846875 |
transcript.pyannote[509].end |
4493.10096875 |
transcript.pyannote[510].speaker |
SPEAKER_03 |
transcript.pyannote[510].start |
4494.56909375 |
transcript.pyannote[510].end |
4496.61096875 |
transcript.pyannote[511].speaker |
SPEAKER_03 |
transcript.pyannote[511].start |
4498.80471875 |
transcript.pyannote[511].end |
4500.08721875 |
transcript.pyannote[512].speaker |
SPEAKER_06 |
transcript.pyannote[512].start |
4499.90159375 |
transcript.pyannote[512].end |
4506.02721875 |
transcript.pyannote[513].speaker |
SPEAKER_07 |
transcript.pyannote[513].start |
4506.02721875 |
transcript.pyannote[513].end |
4507.71471875 |
transcript.pyannote[514].speaker |
SPEAKER_06 |
transcript.pyannote[514].start |
4507.71471875 |
transcript.pyannote[514].end |
4507.78221875 |
transcript.pyannote[515].speaker |
SPEAKER_07 |
transcript.pyannote[515].start |
4508.67659375 |
transcript.pyannote[515].end |
4512.62534375 |
transcript.pyannote[516].speaker |
SPEAKER_07 |
transcript.pyannote[516].start |
4512.89534375 |
transcript.pyannote[516].end |
4516.86096875 |
transcript.pyannote[517].speaker |
SPEAKER_07 |
transcript.pyannote[517].start |
4517.04659375 |
transcript.pyannote[517].end |
4524.82596875 |
transcript.pyannote[518].speaker |
SPEAKER_07 |
transcript.pyannote[518].start |
4525.28159375 |
transcript.pyannote[518].end |
4533.33096875 |
transcript.pyannote[519].speaker |
SPEAKER_07 |
transcript.pyannote[519].start |
4533.75284375 |
transcript.pyannote[519].end |
4542.03846875 |
transcript.pyannote[520].speaker |
SPEAKER_08 |
transcript.pyannote[520].start |
4542.03846875 |
transcript.pyannote[520].end |
4545.10971875 |
transcript.pyannote[521].speaker |
SPEAKER_08 |
transcript.pyannote[521].start |
4545.83534375 |
transcript.pyannote[521].end |
4548.16409375 |
transcript.pyannote[522].speaker |
SPEAKER_08 |
transcript.pyannote[522].start |
4548.26534375 |
transcript.pyannote[522].end |
4549.32846875 |
transcript.pyannote[523].speaker |
SPEAKER_08 |
transcript.pyannote[523].start |
4550.54346875 |
transcript.pyannote[523].end |
4550.56034375 |
transcript.pyannote[524].speaker |
SPEAKER_08 |
transcript.pyannote[524].start |
4550.57721875 |
transcript.pyannote[524].end |
4550.83034375 |
transcript.pyannote[525].speaker |
SPEAKER_08 |
transcript.pyannote[525].start |
4550.84721875 |
transcript.pyannote[525].end |
4558.82909375 |
transcript.pyannote[526].speaker |
SPEAKER_08 |
transcript.pyannote[526].start |
4559.11596875 |
transcript.pyannote[526].end |
4567.75596875 |
transcript.pyannote[527].speaker |
SPEAKER_08 |
transcript.pyannote[527].start |
4567.97534375 |
transcript.pyannote[527].end |
4571.97471875 |
transcript.pyannote[528].speaker |
SPEAKER_09 |
transcript.pyannote[528].start |
4571.97471875 |
transcript.pyannote[528].end |
4579.65284375 |
transcript.pyannote[529].speaker |
SPEAKER_03 |
transcript.pyannote[529].start |
4579.04534375 |
transcript.pyannote[529].end |
4579.23096875 |
transcript.pyannote[530].speaker |
SPEAKER_03 |
transcript.pyannote[530].start |
4579.43346875 |
transcript.pyannote[530].end |
4580.59784375 |
transcript.pyannote[531].speaker |
SPEAKER_09 |
transcript.pyannote[531].start |
4580.59784375 |
transcript.pyannote[531].end |
4581.74534375 |
transcript.pyannote[532].speaker |
SPEAKER_03 |
transcript.pyannote[532].start |
4581.42471875 |
transcript.pyannote[532].end |
4582.55534375 |
transcript.pyannote[533].speaker |
SPEAKER_09 |
transcript.pyannote[533].start |
4582.55534375 |
transcript.pyannote[533].end |
4582.58909375 |
transcript.pyannote[534].speaker |
SPEAKER_09 |
transcript.pyannote[534].start |
4582.62284375 |
transcript.pyannote[534].end |
4584.25971875 |
transcript.pyannote[535].speaker |
SPEAKER_03 |
transcript.pyannote[535].start |
4584.36096875 |
transcript.pyannote[535].end |
4587.21284375 |
transcript.pyannote[536].speaker |
SPEAKER_09 |
transcript.pyannote[536].start |
4585.08659375 |
transcript.pyannote[536].end |
4585.10346875 |
transcript.pyannote[537].speaker |
SPEAKER_09 |
transcript.pyannote[537].start |
4587.21284375 |
transcript.pyannote[537].end |
4588.51221875 |
transcript.pyannote[538].speaker |
SPEAKER_03 |
transcript.pyannote[538].start |
4589.49096875 |
transcript.pyannote[538].end |
4591.48221875 |
transcript.pyannote[539].speaker |
SPEAKER_03 |
transcript.pyannote[539].start |
4593.62534375 |
transcript.pyannote[539].end |
4597.70909375 |
transcript.pyannote[540].speaker |
SPEAKER_03 |
transcript.pyannote[540].start |
4598.31659375 |
transcript.pyannote[540].end |
4599.34596875 |
transcript.pyannote[541].speaker |
SPEAKER_03 |
transcript.pyannote[541].start |
4601.62409375 |
transcript.pyannote[541].end |
4603.37909375 |
transcript.pyannote[542].speaker |
SPEAKER_03 |
transcript.pyannote[542].start |
4603.66596875 |
transcript.pyannote[542].end |
4605.60659375 |
transcript.pyannote[543].speaker |
SPEAKER_03 |
transcript.pyannote[543].start |
4606.06221875 |
transcript.pyannote[543].end |
4607.78346875 |
transcript.pyannote[544].speaker |
SPEAKER_03 |
transcript.pyannote[544].start |
4609.25159375 |
transcript.pyannote[544].end |
4614.73596875 |
transcript.pyannote[545].speaker |
SPEAKER_03 |
transcript.pyannote[545].start |
4615.59659375 |
transcript.pyannote[545].end |
4622.46471875 |
transcript.pyannote[546].speaker |
SPEAKER_03 |
transcript.pyannote[546].start |
4626.39659375 |
transcript.pyannote[546].end |
4627.03784375 |
transcript.pyannote[547].speaker |
SPEAKER_03 |
transcript.pyannote[547].start |
4627.84784375 |
transcript.pyannote[547].end |
4629.58596875 |
transcript.pyannote[548].speaker |
SPEAKER_03 |
transcript.pyannote[548].start |
4630.10909375 |
transcript.pyannote[548].end |
4631.74596875 |
transcript.pyannote[549].speaker |
SPEAKER_03 |
transcript.pyannote[549].start |
4632.35346875 |
transcript.pyannote[549].end |
4633.99034375 |
transcript.pyannote[550].speaker |
SPEAKER_03 |
transcript.pyannote[550].start |
4636.53846875 |
transcript.pyannote[550].end |
4640.04846875 |
transcript.pyannote[551].speaker |
SPEAKER_03 |
transcript.pyannote[551].start |
4640.60534375 |
transcript.pyannote[551].end |
4647.79409375 |
transcript.pyannote[552].speaker |
SPEAKER_03 |
transcript.pyannote[552].start |
4652.62034375 |
transcript.pyannote[552].end |
4653.98721875 |
transcript.pyannote[553].speaker |
SPEAKER_03 |
transcript.pyannote[553].start |
4654.76346875 |
transcript.pyannote[553].end |
4656.53534375 |
transcript.pyannote[554].speaker |
SPEAKER_03 |
transcript.pyannote[554].start |
4656.88971875 |
transcript.pyannote[554].end |
4657.90221875 |
transcript.pyannote[555].speaker |
SPEAKER_03 |
transcript.pyannote[555].start |
4659.35346875 |
transcript.pyannote[555].end |
4680.12659375 |
transcript.pyannote[556].speaker |
SPEAKER_03 |
transcript.pyannote[556].start |
4680.93659375 |
transcript.pyannote[556].end |
4681.78034375 |
transcript.pyannote[557].speaker |
SPEAKER_03 |
transcript.pyannote[557].start |
4681.86471875 |
transcript.pyannote[557].end |
4684.93596875 |
transcript.pyannote[558].speaker |
SPEAKER_03 |
transcript.pyannote[558].start |
4685.64471875 |
transcript.pyannote[558].end |
4688.49659375 |
transcript.pyannote[559].speaker |
SPEAKER_03 |
transcript.pyannote[559].start |
4689.37409375 |
transcript.pyannote[559].end |
4690.62284375 |
transcript.pyannote[560].speaker |
SPEAKER_03 |
transcript.pyannote[560].start |
4691.61846875 |
transcript.pyannote[560].end |
4692.52971875 |
transcript.pyannote[561].speaker |
SPEAKER_03 |
transcript.pyannote[561].start |
4693.01909375 |
transcript.pyannote[561].end |
4694.11596875 |
transcript.pyannote[562].speaker |
SPEAKER_03 |
transcript.pyannote[562].start |
4694.65596875 |
transcript.pyannote[562].end |
4695.11159375 |
transcript.pyannote[563].speaker |
SPEAKER_03 |
transcript.pyannote[563].start |
4695.85409375 |
transcript.pyannote[563].end |
4702.26659375 |
transcript.pyannote[564].speaker |
SPEAKER_03 |
transcript.pyannote[564].start |
4702.73909375 |
transcript.pyannote[564].end |
4707.66659375 |
transcript.pyannote[565].speaker |
SPEAKER_03 |
transcript.pyannote[565].start |
4708.08846875 |
transcript.pyannote[565].end |
4718.14596875 |
transcript.pyannote[566].speaker |
SPEAKER_03 |
transcript.pyannote[566].start |
4719.47909375 |
transcript.pyannote[566].end |
4725.41909375 |
transcript.pyannote[567].speaker |
SPEAKER_03 |
transcript.pyannote[567].start |
4726.26284375 |
transcript.pyannote[567].end |
4727.64659375 |
transcript.pyannote[568].speaker |
SPEAKER_06 |
transcript.pyannote[568].start |
4727.59596875 |
transcript.pyannote[568].end |
4734.66659375 |
transcript.pyannote[569].speaker |
SPEAKER_03 |
transcript.pyannote[569].start |
4733.55284375 |
transcript.pyannote[569].end |
4735.89846875 |
transcript.pyannote[570].speaker |
SPEAKER_07 |
transcript.pyannote[570].start |
4736.35409375 |
transcript.pyannote[570].end |
4737.56909375 |
transcript.pyannote[571].speaker |
SPEAKER_03 |
transcript.pyannote[571].start |
4737.56909375 |
transcript.pyannote[571].end |
4739.66159375 |
transcript.pyannote[572].speaker |
SPEAKER_07 |
transcript.pyannote[572].start |
4737.58596875 |
transcript.pyannote[572].end |
4738.53096875 |
transcript.pyannote[573].speaker |
SPEAKER_07 |
transcript.pyannote[573].start |
4738.73346875 |
transcript.pyannote[573].end |
4741.58534375 |
transcript.pyannote[574].speaker |
SPEAKER_03 |
transcript.pyannote[574].start |
4740.11721875 |
transcript.pyannote[574].end |
4741.72034375 |
transcript.pyannote[575].speaker |
SPEAKER_07 |
transcript.pyannote[575].start |
4741.68659375 |
transcript.pyannote[575].end |
4742.37846875 |
transcript.pyannote[576].speaker |
SPEAKER_03 |
transcript.pyannote[576].start |
4743.50909375 |
transcript.pyannote[576].end |
4747.05284375 |
transcript.pyannote[577].speaker |
SPEAKER_03 |
transcript.pyannote[577].start |
4747.81221875 |
transcript.pyannote[577].end |
4758.84846875 |
transcript.pyannote[578].speaker |
SPEAKER_03 |
transcript.pyannote[578].start |
4760.14784375 |
transcript.pyannote[578].end |
4760.38409375 |
transcript.pyannote[579].speaker |
SPEAKER_03 |
transcript.pyannote[579].start |
4760.78909375 |
transcript.pyannote[579].end |
4761.70034375 |
transcript.pyannote[580].speaker |
SPEAKER_03 |
transcript.pyannote[580].start |
4762.66221875 |
transcript.pyannote[580].end |
4766.76284375 |
transcript.pyannote[581].speaker |
SPEAKER_03 |
transcript.pyannote[581].start |
4767.77534375 |
transcript.pyannote[581].end |
4771.82534375 |
transcript.pyannote[582].speaker |
SPEAKER_03 |
transcript.pyannote[582].start |
4772.56784375 |
transcript.pyannote[582].end |
4777.39409375 |
transcript.pyannote[583].speaker |
SPEAKER_03 |
transcript.pyannote[583].start |
4778.81159375 |
transcript.pyannote[583].end |
4779.90846875 |
transcript.pyannote[584].speaker |
SPEAKER_03 |
transcript.pyannote[584].start |
4780.54971875 |
transcript.pyannote[584].end |
4782.08534375 |
transcript.pyannote[585].speaker |
SPEAKER_03 |
transcript.pyannote[585].start |
4783.60409375 |
transcript.pyannote[585].end |
4784.19471875 |
transcript.pyannote[586].speaker |
SPEAKER_03 |
transcript.pyannote[586].start |
4784.75159375 |
transcript.pyannote[586].end |
4790.30346875 |
transcript.pyannote[587].speaker |
SPEAKER_03 |
transcript.pyannote[587].start |
4791.28221875 |
transcript.pyannote[587].end |
4800.37784375 |
transcript.pyannote[588].speaker |
SPEAKER_03 |
transcript.pyannote[588].start |
4801.20471875 |
transcript.pyannote[588].end |
4803.51659375 |
transcript.pyannote[589].speaker |
SPEAKER_03 |
transcript.pyannote[589].start |
4805.65971875 |
transcript.pyannote[589].end |
4807.68471875 |
transcript.pyannote[590].speaker |
SPEAKER_03 |
transcript.pyannote[590].start |
4808.17409375 |
transcript.pyannote[590].end |
4810.94159375 |
transcript.pyannote[591].speaker |
SPEAKER_03 |
transcript.pyannote[591].start |
4812.56159375 |
transcript.pyannote[591].end |
4815.17721875 |
transcript.pyannote[592].speaker |
SPEAKER_03 |
transcript.pyannote[592].start |
4816.29096875 |
transcript.pyannote[592].end |
4816.76346875 |
transcript.pyannote[593].speaker |
SPEAKER_03 |
transcript.pyannote[593].start |
4818.50159375 |
transcript.pyannote[593].end |
4823.17596875 |
transcript.pyannote[594].speaker |
SPEAKER_03 |
transcript.pyannote[594].start |
4824.00284375 |
transcript.pyannote[594].end |
4825.77471875 |
transcript.pyannote[595].speaker |
SPEAKER_03 |
transcript.pyannote[595].start |
4826.28096875 |
transcript.pyannote[595].end |
4827.24284375 |
transcript.pyannote[596].speaker |
SPEAKER_03 |
transcript.pyannote[596].start |
4827.74909375 |
transcript.pyannote[596].end |
4830.55034375 |
transcript.pyannote[597].speaker |
SPEAKER_03 |
transcript.pyannote[597].start |
4831.63034375 |
transcript.pyannote[597].end |
4833.65534375 |
transcript.pyannote[598].speaker |
SPEAKER_03 |
transcript.pyannote[598].start |
4836.30471875 |
transcript.pyannote[598].end |
4839.03846875 |
transcript.pyannote[599].speaker |
SPEAKER_03 |
transcript.pyannote[599].start |
4839.96659375 |
transcript.pyannote[599].end |
4845.51846875 |
transcript.pyannote[600].speaker |
SPEAKER_03 |
transcript.pyannote[600].start |
4846.21034375 |
transcript.pyannote[600].end |
4855.64346875 |
transcript.pyannote[601].speaker |
SPEAKER_03 |
transcript.pyannote[601].start |
4857.60096875 |
transcript.pyannote[601].end |
4865.02596875 |
transcript.pyannote[602].speaker |
SPEAKER_03 |
transcript.pyannote[602].start |
4878.32346875 |
transcript.pyannote[602].end |
4878.49221875 |
transcript.pyannote[603].speaker |
SPEAKER_03 |
transcript.pyannote[603].start |
4880.93909375 |
transcript.pyannote[603].end |
4889.96721875 |
transcript.pyannote[604].speaker |
SPEAKER_03 |
transcript.pyannote[604].start |
4890.35534375 |
transcript.pyannote[604].end |
4893.67971875 |
transcript.pyannote[605].speaker |
SPEAKER_00 |
transcript.pyannote[605].start |
4892.90346875 |
transcript.pyannote[605].end |
4893.79784375 |
transcript.pyannote[606].speaker |
SPEAKER_00 |
transcript.pyannote[606].start |
4895.18159375 |
transcript.pyannote[606].end |
4898.59034375 |
transcript.pyannote[607].speaker |
SPEAKER_00 |
transcript.pyannote[607].start |
4899.43409375 |
transcript.pyannote[607].end |
4903.68659375 |
transcript.pyannote[608].speaker |
SPEAKER_00 |
transcript.pyannote[608].start |
4905.00284375 |
transcript.pyannote[608].end |
4912.25909375 |
transcript.pyannote[609].speaker |
SPEAKER_00 |
transcript.pyannote[609].start |
4913.08596875 |
transcript.pyannote[609].end |
4921.65846875 |
transcript.pyannote[610].speaker |
SPEAKER_03 |
transcript.pyannote[610].start |
4923.98721875 |
transcript.pyannote[610].end |
4929.55596875 |
transcript.pyannote[611].speaker |
SPEAKER_03 |
transcript.pyannote[611].start |
4931.41221875 |
transcript.pyannote[611].end |
4944.55784375 |
transcript.pyannote[612].speaker |
SPEAKER_03 |
transcript.pyannote[612].start |
4945.24971875 |
transcript.pyannote[612].end |
4955.32409375 |
transcript.pyannote[613].speaker |
SPEAKER_03 |
transcript.pyannote[613].start |
4955.56034375 |
transcript.pyannote[613].end |
4958.27721875 |
transcript.pyannote[614].speaker |
SPEAKER_03 |
transcript.pyannote[614].start |
4958.42909375 |
transcript.pyannote[614].end |
4965.36471875 |
transcript.pyannote[615].speaker |
SPEAKER_03 |
transcript.pyannote[615].start |
4966.05659375 |
transcript.pyannote[615].end |
4970.44409375 |
transcript.pyannote[616].speaker |
SPEAKER_03 |
transcript.pyannote[616].start |
4971.05159375 |
transcript.pyannote[616].end |
4975.59096875 |
transcript.pyannote[617].speaker |
SPEAKER_03 |
transcript.pyannote[617].start |
4976.06346875 |
transcript.pyannote[617].end |
4980.51846875 |
transcript.pyannote[618].speaker |
SPEAKER_03 |
transcript.pyannote[618].start |
4980.87284375 |
transcript.pyannote[618].end |
4986.71159375 |
transcript.pyannote[619].speaker |
SPEAKER_03 |
transcript.pyannote[619].start |
4987.60596875 |
transcript.pyannote[619].end |
4992.24659375 |
transcript.pyannote[620].speaker |
SPEAKER_03 |
transcript.pyannote[620].start |
4992.60096875 |
transcript.pyannote[620].end |
4994.06909375 |
transcript.pyannote[621].speaker |
SPEAKER_03 |
transcript.pyannote[621].start |
4995.26721875 |
transcript.pyannote[621].end |
5006.92784375 |
transcript.pyannote[622].speaker |
SPEAKER_03 |
transcript.pyannote[622].start |
5007.51846875 |
transcript.pyannote[622].end |
5008.48034375 |
transcript.pyannote[623].speaker |
SPEAKER_03 |
transcript.pyannote[623].start |
5008.96971875 |
transcript.pyannote[623].end |
5009.03721875 |
transcript.pyannote[624].speaker |
SPEAKER_03 |
transcript.pyannote[624].start |
5009.23971875 |
transcript.pyannote[624].end |
5011.07909375 |
transcript.pyannote[625].speaker |
SPEAKER_03 |
transcript.pyannote[625].start |
5011.45034375 |
transcript.pyannote[625].end |
5013.45846875 |
transcript.pyannote[626].speaker |
SPEAKER_03 |
transcript.pyannote[626].start |
5014.06596875 |
transcript.pyannote[626].end |
5020.10721875 |
transcript.pyannote[627].speaker |
SPEAKER_03 |
transcript.pyannote[627].start |
5021.18721875 |
transcript.pyannote[627].end |
5022.23346875 |
transcript.pyannote[628].speaker |
SPEAKER_03 |
transcript.pyannote[628].start |
5022.68909375 |
transcript.pyannote[628].end |
5035.56471875 |
transcript.pyannote[629].speaker |
SPEAKER_03 |
transcript.pyannote[629].start |
5035.95284375 |
transcript.pyannote[629].end |
5050.21221875 |
transcript.pyannote[630].speaker |
SPEAKER_03 |
transcript.pyannote[630].start |
5050.65096875 |
transcript.pyannote[630].end |
5053.45221875 |
transcript.pyannote[631].speaker |
SPEAKER_03 |
transcript.pyannote[631].start |
5054.59971875 |
transcript.pyannote[631].end |
5058.73409375 |
transcript.pyannote[632].speaker |
SPEAKER_03 |
transcript.pyannote[632].start |
5059.86471875 |
transcript.pyannote[632].end |
5061.94034375 |
transcript.pyannote[633].speaker |
SPEAKER_03 |
transcript.pyannote[633].start |
5061.97409375 |
transcript.pyannote[633].end |
5062.02471875 |
transcript.pyannote[634].speaker |
SPEAKER_03 |
transcript.pyannote[634].start |
5062.29471875 |
transcript.pyannote[634].end |
5062.96971875 |
transcript.pyannote[635].speaker |
SPEAKER_03 |
transcript.pyannote[635].start |
5063.56034375 |
transcript.pyannote[635].end |
5066.68221875 |
transcript.pyannote[636].speaker |
SPEAKER_03 |
transcript.pyannote[636].start |
5068.21784375 |
transcript.pyannote[636].end |
5069.77034375 |
transcript.pyannote[637].speaker |
SPEAKER_03 |
transcript.pyannote[637].start |
5070.90096875 |
transcript.pyannote[637].end |
5072.03159375 |
transcript.pyannote[638].speaker |
SPEAKER_03 |
transcript.pyannote[638].start |
5073.02721875 |
transcript.pyannote[638].end |
5074.39409375 |
transcript.pyannote[639].speaker |
SPEAKER_03 |
transcript.pyannote[639].start |
5075.23784375 |
transcript.pyannote[639].end |
5079.52409375 |
transcript.pyannote[640].speaker |
SPEAKER_03 |
transcript.pyannote[640].start |
5080.14846875 |
transcript.pyannote[640].end |
5081.31284375 |
transcript.pyannote[641].speaker |
SPEAKER_03 |
transcript.pyannote[641].start |
5081.80221875 |
transcript.pyannote[641].end |
5083.37159375 |
transcript.pyannote[642].speaker |
SPEAKER_03 |
transcript.pyannote[642].start |
5085.27846875 |
transcript.pyannote[642].end |
5086.34159375 |
transcript.pyannote[643].speaker |
SPEAKER_03 |
transcript.pyannote[643].start |
5087.06721875 |
transcript.pyannote[643].end |
5090.02034375 |
transcript.pyannote[644].speaker |
SPEAKER_03 |
transcript.pyannote[644].start |
5091.26909375 |
transcript.pyannote[644].end |
5093.95221875 |
transcript.pyannote[645].speaker |
SPEAKER_03 |
transcript.pyannote[645].start |
5093.96909375 |
transcript.pyannote[645].end |
5094.00284375 |
transcript.pyannote[646].speaker |
SPEAKER_03 |
transcript.pyannote[646].start |
5094.71159375 |
transcript.pyannote[646].end |
5096.70284375 |
transcript.pyannote[647].speaker |
SPEAKER_03 |
transcript.pyannote[647].start |
5097.02346875 |
transcript.pyannote[647].end |
5103.60471875 |
transcript.pyannote[648].speaker |
SPEAKER_03 |
transcript.pyannote[648].start |
5104.34721875 |
transcript.pyannote[648].end |
5118.75846875 |
transcript.pyannote[649].speaker |
SPEAKER_03 |
transcript.pyannote[649].start |
5119.26471875 |
transcript.pyannote[649].end |
5122.15034375 |
transcript.pyannote[650].speaker |
SPEAKER_03 |
transcript.pyannote[650].start |
5122.55534375 |
transcript.pyannote[650].end |
5136.73034375 |
transcript.pyannote[651].speaker |
SPEAKER_03 |
transcript.pyannote[651].start |
5137.38846875 |
transcript.pyannote[651].end |
5142.65346875 |
transcript.pyannote[652].speaker |
SPEAKER_03 |
transcript.pyannote[652].start |
5142.97409375 |
transcript.pyannote[652].end |
5144.29034375 |
transcript.pyannote[653].speaker |
SPEAKER_03 |
transcript.pyannote[653].start |
5146.04534375 |
transcript.pyannote[653].end |
5154.65159375 |
transcript.pyannote[654].speaker |
SPEAKER_05 |
transcript.pyannote[654].start |
5147.37846875 |
transcript.pyannote[654].end |
5147.58096875 |
transcript.pyannote[655].speaker |
SPEAKER_03 |
transcript.pyannote[655].start |
5155.84971875 |
transcript.pyannote[655].end |
5158.02659375 |
transcript.pyannote[656].speaker |
SPEAKER_03 |
transcript.pyannote[656].start |
5159.42721875 |
transcript.pyannote[656].end |
5168.69159375 |
transcript.pyannote[657].speaker |
SPEAKER_03 |
transcript.pyannote[657].start |
5170.32846875 |
transcript.pyannote[657].end |
5171.08784375 |
transcript.pyannote[658].speaker |
SPEAKER_03 |
transcript.pyannote[658].start |
5171.62784375 |
transcript.pyannote[658].end |
5177.24721875 |
transcript.pyannote[659].speaker |
SPEAKER_03 |
transcript.pyannote[659].start |
5178.14159375 |
transcript.pyannote[659].end |
5180.82471875 |
transcript.pyannote[660].speaker |
SPEAKER_03 |
transcript.pyannote[660].start |
5181.48284375 |
transcript.pyannote[660].end |
5186.66346875 |
transcript.pyannote[661].speaker |
SPEAKER_03 |
transcript.pyannote[661].start |
5187.40596875 |
transcript.pyannote[661].end |
5188.57034375 |
transcript.pyannote[662].speaker |
SPEAKER_03 |
transcript.pyannote[662].start |
5189.56596875 |
transcript.pyannote[662].end |
5191.94534375 |
transcript.pyannote[663].speaker |
SPEAKER_03 |
transcript.pyannote[663].start |
5192.18159375 |
transcript.pyannote[663].end |
5194.39221875 |
transcript.pyannote[664].speaker |
SPEAKER_03 |
transcript.pyannote[664].start |
5195.35409375 |
transcript.pyannote[664].end |
5204.06159375 |
transcript.pyannote[665].speaker |
SPEAKER_03 |
transcript.pyannote[665].start |
5204.31471875 |
transcript.pyannote[665].end |
5214.01784375 |
transcript.pyannote[666].speaker |
SPEAKER_03 |
transcript.pyannote[666].start |
5216.56596875 |
transcript.pyannote[666].end |
5223.92346875 |
transcript.pyannote[667].speaker |
SPEAKER_03 |
transcript.pyannote[667].start |
5224.69971875 |
transcript.pyannote[667].end |
5227.41659375 |
transcript.pyannote[668].speaker |
SPEAKER_03 |
transcript.pyannote[668].start |
5228.49659375 |
transcript.pyannote[668].end |
5230.92659375 |
transcript.pyannote[669].speaker |
SPEAKER_03 |
transcript.pyannote[669].start |
5232.05721875 |
transcript.pyannote[669].end |
5256.86346875 |
transcript.pyannote[670].speaker |
SPEAKER_03 |
transcript.pyannote[670].start |
5257.65659375 |
transcript.pyannote[670].end |
5259.46221875 |
transcript.pyannote[671].speaker |
SPEAKER_03 |
transcript.pyannote[671].start |
5260.44096875 |
transcript.pyannote[671].end |
5275.18971875 |
transcript.pyannote[672].speaker |
SPEAKER_03 |
transcript.pyannote[672].start |
5275.52721875 |
transcript.pyannote[672].end |
5278.39596875 |
transcript.pyannote[673].speaker |
SPEAKER_03 |
transcript.pyannote[673].start |
5279.47596875 |
transcript.pyannote[673].end |
5299.21971875 |
transcript.pyannote[674].speaker |
SPEAKER_03 |
transcript.pyannote[674].start |
5299.81034375 |
transcript.pyannote[674].end |
5302.27409375 |
transcript.pyannote[675].speaker |
SPEAKER_03 |
transcript.pyannote[675].start |
5303.26971875 |
transcript.pyannote[675].end |
5307.80909375 |
transcript.pyannote[676].speaker |
SPEAKER_03 |
transcript.pyannote[676].start |
5308.87221875 |
transcript.pyannote[676].end |
5309.91846875 |
transcript.pyannote[677].speaker |
SPEAKER_03 |
transcript.pyannote[677].start |
5310.66096875 |
transcript.pyannote[677].end |
5318.72721875 |
transcript.pyannote[678].speaker |
SPEAKER_03 |
transcript.pyannote[678].start |
5319.53721875 |
transcript.pyannote[678].end |
5326.16909375 |
transcript.pyannote[679].speaker |
SPEAKER_03 |
transcript.pyannote[679].start |
5327.29971875 |
transcript.pyannote[679].end |
5331.77159375 |
transcript.pyannote[680].speaker |
SPEAKER_03 |
transcript.pyannote[680].start |
5332.91909375 |
transcript.pyannote[680].end |
5344.14096875 |
transcript.pyannote[681].speaker |
SPEAKER_03 |
transcript.pyannote[681].start |
5347.24596875 |
transcript.pyannote[681].end |
5348.84909375 |
transcript.pyannote[682].speaker |
SPEAKER_03 |
transcript.pyannote[682].start |
5350.30034375 |
transcript.pyannote[682].end |
5351.38034375 |
transcript.pyannote[683].speaker |
SPEAKER_03 |
transcript.pyannote[683].start |
5353.87784375 |
transcript.pyannote[683].end |
5354.24909375 |
transcript.pyannote[684].speaker |
SPEAKER_03 |
transcript.pyannote[684].start |
5355.37971875 |
transcript.pyannote[684].end |
5358.18096875 |
transcript.pyannote[685].speaker |
SPEAKER_03 |
transcript.pyannote[685].start |
5358.85596875 |
transcript.pyannote[685].end |
5372.84534375 |
transcript.pyannote[686].speaker |
SPEAKER_03 |
transcript.pyannote[686].start |
5374.17846875 |
transcript.pyannote[686].end |
5376.32159375 |
transcript.pyannote[687].speaker |
SPEAKER_03 |
transcript.pyannote[687].start |
5376.62534375 |
transcript.pyannote[687].end |
5379.51096875 |
transcript.pyannote[688].speaker |
SPEAKER_03 |
transcript.pyannote[688].start |
5380.05096875 |
transcript.pyannote[688].end |
5392.90971875 |
transcript.pyannote[689].speaker |
SPEAKER_03 |
transcript.pyannote[689].start |
5393.92221875 |
transcript.pyannote[689].end |
5396.43659375 |
transcript.pyannote[690].speaker |
SPEAKER_03 |
transcript.pyannote[690].start |
5397.26346875 |
transcript.pyannote[690].end |
5409.44721875 |
transcript.pyannote[691].speaker |
SPEAKER_03 |
transcript.pyannote[691].start |
5410.17284375 |
transcript.pyannote[691].end |
5410.62846875 |
transcript.pyannote[692].speaker |
SPEAKER_03 |
transcript.pyannote[692].start |
5411.40471875 |
transcript.pyannote[692].end |
5415.03284375 |
transcript.pyannote[693].speaker |
SPEAKER_03 |
transcript.pyannote[693].start |
5415.75846875 |
transcript.pyannote[693].end |
5418.23909375 |
transcript.pyannote[694].speaker |
SPEAKER_03 |
transcript.pyannote[694].start |
5418.50909375 |
transcript.pyannote[694].end |
5419.77471875 |
transcript.pyannote[695].speaker |
SPEAKER_03 |
transcript.pyannote[695].start |
5419.85909375 |
transcript.pyannote[695].end |
5421.12471875 |
transcript.pyannote[696].speaker |
SPEAKER_03 |
transcript.pyannote[696].start |
5424.31409375 |
transcript.pyannote[696].end |
5425.59659375 |
transcript.pyannote[697].speaker |
SPEAKER_03 |
transcript.pyannote[697].start |
5426.15346875 |
transcript.pyannote[697].end |
5432.11034375 |
transcript.pyannote[698].speaker |
SPEAKER_03 |
transcript.pyannote[698].start |
5432.95409375 |
transcript.pyannote[698].end |
5434.89471875 |
transcript.pyannote[699].speaker |
SPEAKER_03 |
transcript.pyannote[699].start |
5435.58659375 |
transcript.pyannote[699].end |
5438.26971875 |
transcript.pyannote[700].speaker |
SPEAKER_03 |
transcript.pyannote[700].start |
5438.87721875 |
transcript.pyannote[700].end |
5451.71909375 |
transcript.pyannote[701].speaker |
SPEAKER_03 |
transcript.pyannote[701].start |
5452.52909375 |
transcript.pyannote[701].end |
5469.69096875 |
transcript.pyannote[702].speaker |
SPEAKER_03 |
transcript.pyannote[702].start |
5470.11284375 |
transcript.pyannote[702].end |
5470.70346875 |
transcript.pyannote[703].speaker |
SPEAKER_03 |
transcript.pyannote[703].start |
5470.82159375 |
transcript.pyannote[703].end |
5474.95596875 |
transcript.pyannote[704].speaker |
SPEAKER_03 |
transcript.pyannote[704].start |
5475.76596875 |
transcript.pyannote[704].end |
5476.28909375 |
transcript.pyannote[705].speaker |
SPEAKER_03 |
transcript.pyannote[705].start |
5476.79534375 |
transcript.pyannote[705].end |
5487.30846875 |
transcript.pyannote[706].speaker |
SPEAKER_03 |
transcript.pyannote[706].start |
5488.05096875 |
transcript.pyannote[706].end |
5490.22784375 |
transcript.pyannote[707].speaker |
SPEAKER_03 |
transcript.pyannote[707].start |
5495.74596875 |
transcript.pyannote[707].end |
5496.18471875 |
transcript.pyannote[708].speaker |
SPEAKER_03 |
transcript.pyannote[708].start |
5497.95659375 |
transcript.pyannote[708].end |
5499.25596875 |
transcript.pyannote[709].speaker |
SPEAKER_03 |
transcript.pyannote[709].start |
5499.52596875 |
transcript.pyannote[709].end |
5501.82096875 |
transcript.pyannote[710].speaker |
SPEAKER_03 |
transcript.pyannote[710].start |
5502.74909375 |
transcript.pyannote[710].end |
5504.11596875 |
transcript.pyannote[711].speaker |
SPEAKER_03 |
transcript.pyannote[711].start |
5506.68096875 |
transcript.pyannote[711].end |
5507.27159375 |
transcript.pyannote[712].speaker |
SPEAKER_03 |
transcript.pyannote[712].start |
5507.77784375 |
transcript.pyannote[712].end |
5509.75221875 |
transcript.pyannote[713].speaker |
SPEAKER_03 |
transcript.pyannote[713].start |
5509.83659375 |
transcript.pyannote[713].end |
5513.44784375 |
transcript.pyannote[714].speaker |
SPEAKER_03 |
transcript.pyannote[714].start |
5513.78534375 |
transcript.pyannote[714].end |
5525.12534375 |
transcript.pyannote[715].speaker |
SPEAKER_03 |
transcript.pyannote[715].start |
5525.66534375 |
transcript.pyannote[715].end |
5531.16659375 |
transcript.pyannote[716].speaker |
SPEAKER_03 |
transcript.pyannote[716].start |
5531.40284375 |
transcript.pyannote[716].end |
5538.42284375 |
transcript.pyannote[717].speaker |
SPEAKER_03 |
transcript.pyannote[717].start |
5538.79409375 |
transcript.pyannote[717].end |
5542.84409375 |
transcript.pyannote[718].speaker |
SPEAKER_03 |
transcript.pyannote[718].start |
5545.30784375 |
transcript.pyannote[718].end |
5547.75471875 |
transcript.pyannote[719].speaker |
SPEAKER_03 |
transcript.pyannote[719].start |
5550.38721875 |
transcript.pyannote[719].end |
5553.96471875 |
transcript.pyannote[720].speaker |
SPEAKER_03 |
transcript.pyannote[720].start |
5555.26409375 |
transcript.pyannote[720].end |
5567.70096875 |
transcript.pyannote[721].speaker |
SPEAKER_03 |
transcript.pyannote[721].start |
5569.20284375 |
transcript.pyannote[721].end |
5570.55284375 |
transcript.pyannote[722].speaker |
SPEAKER_03 |
transcript.pyannote[722].start |
5572.96596875 |
transcript.pyannote[722].end |
5583.64784375 |
transcript.pyannote[723].speaker |
SPEAKER_03 |
transcript.pyannote[723].start |
5583.90096875 |
transcript.pyannote[723].end |
5585.90909375 |
transcript.pyannote[724].speaker |
SPEAKER_03 |
transcript.pyannote[724].start |
5586.48284375 |
transcript.pyannote[724].end |
5588.50784375 |
transcript.pyannote[725].speaker |
SPEAKER_03 |
transcript.pyannote[725].start |
5588.96346875 |
transcript.pyannote[725].end |
5591.03909375 |
transcript.pyannote[726].speaker |
SPEAKER_03 |
transcript.pyannote[726].start |
5591.71409375 |
transcript.pyannote[726].end |
5592.91221875 |
transcript.pyannote[727].speaker |
SPEAKER_03 |
transcript.pyannote[727].start |
5595.08909375 |
transcript.pyannote[727].end |
5595.91596875 |
transcript.pyannote[728].speaker |
SPEAKER_03 |
transcript.pyannote[728].start |
5598.31221875 |
transcript.pyannote[728].end |
5603.69534375 |
transcript.pyannote[729].speaker |
SPEAKER_03 |
transcript.pyannote[729].start |
5604.35346875 |
transcript.pyannote[729].end |
5610.74909375 |
transcript.pyannote[730].speaker |
SPEAKER_03 |
transcript.pyannote[730].start |
5611.82909375 |
transcript.pyannote[730].end |
5626.71284375 |
transcript.pyannote[731].speaker |
SPEAKER_03 |
transcript.pyannote[731].start |
5627.55659375 |
transcript.pyannote[731].end |
5653.99971875 |
transcript.pyannote[732].speaker |
SPEAKER_03 |
transcript.pyannote[732].start |
5655.50159375 |
transcript.pyannote[732].end |
5669.60909375 |
transcript.pyannote[733].speaker |
SPEAKER_03 |
transcript.pyannote[733].start |
5670.62159375 |
transcript.pyannote[733].end |
5674.63784375 |
transcript.pyannote[734].speaker |
SPEAKER_03 |
transcript.pyannote[734].start |
5675.81909375 |
transcript.pyannote[734].end |
5676.54471875 |
transcript.pyannote[735].speaker |
SPEAKER_03 |
transcript.pyannote[735].start |
5676.69659375 |
transcript.pyannote[735].end |
5681.05034375 |
transcript.pyannote[736].speaker |
SPEAKER_03 |
transcript.pyannote[736].start |
5681.35409375 |
transcript.pyannote[736].end |
5683.59846875 |
transcript.pyannote[737].speaker |
SPEAKER_03 |
transcript.pyannote[737].start |
5684.07096875 |
transcript.pyannote[737].end |
5686.82159375 |
transcript.pyannote[738].speaker |
SPEAKER_03 |
transcript.pyannote[738].start |
5687.36159375 |
transcript.pyannote[738].end |
5699.32596875 |
transcript.pyannote[739].speaker |
SPEAKER_03 |
transcript.pyannote[739].start |
5699.62971875 |
transcript.pyannote[739].end |
5711.47596875 |
transcript.pyannote[740].speaker |
SPEAKER_03 |
transcript.pyannote[740].start |
5711.88096875 |
transcript.pyannote[740].end |
5714.96909375 |
transcript.pyannote[741].speaker |
SPEAKER_03 |
transcript.pyannote[741].start |
5715.20534375 |
transcript.pyannote[741].end |
5724.95909375 |
transcript.pyannote[742].speaker |
SPEAKER_03 |
transcript.pyannote[742].start |
5727.91221875 |
transcript.pyannote[742].end |
5731.84409375 |
transcript.pyannote[743].speaker |
SPEAKER_03 |
transcript.pyannote[743].start |
5733.58221875 |
transcript.pyannote[743].end |
5738.17221875 |
transcript.pyannote[744].speaker |
SPEAKER_03 |
transcript.pyannote[744].start |
5739.03284375 |
transcript.pyannote[744].end |
5748.63471875 |
transcript.pyannote[745].speaker |
SPEAKER_03 |
transcript.pyannote[745].start |
5749.27596875 |
transcript.pyannote[745].end |
5752.71846875 |
transcript.pyannote[746].speaker |
SPEAKER_03 |
transcript.pyannote[746].start |
5753.76471875 |
transcript.pyannote[746].end |
5765.77971875 |
transcript.pyannote[747].speaker |
SPEAKER_03 |
transcript.pyannote[747].start |
5766.21846875 |
transcript.pyannote[747].end |
5768.46284375 |
transcript.pyannote[748].speaker |
SPEAKER_03 |
transcript.pyannote[748].start |
5770.21784375 |
transcript.pyannote[748].end |
5771.14596875 |
transcript.pyannote[749].speaker |
SPEAKER_03 |
transcript.pyannote[749].start |
5774.41971875 |
transcript.pyannote[749].end |
5775.93846875 |
transcript.pyannote[750].speaker |
SPEAKER_03 |
transcript.pyannote[750].start |
5777.01846875 |
transcript.pyannote[750].end |
5779.00971875 |
transcript.pyannote[751].speaker |
SPEAKER_03 |
transcript.pyannote[751].start |
5779.58346875 |
transcript.pyannote[751].end |
5780.20784375 |
transcript.pyannote[752].speaker |
SPEAKER_03 |
transcript.pyannote[752].start |
5780.71409375 |
transcript.pyannote[752].end |
5812.00034375 |
transcript.pyannote[753].speaker |
SPEAKER_03 |
transcript.pyannote[753].start |
5813.85659375 |
transcript.pyannote[753].end |
5814.26159375 |
transcript.pyannote[754].speaker |
SPEAKER_03 |
transcript.pyannote[754].start |
5815.76346875 |
transcript.pyannote[754].end |
5817.24846875 |
transcript.pyannote[755].speaker |
SPEAKER_03 |
transcript.pyannote[755].start |
5818.00784375 |
transcript.pyannote[755].end |
5829.11159375 |
transcript.pyannote[756].speaker |
SPEAKER_03 |
transcript.pyannote[756].start |
5829.75284375 |
transcript.pyannote[756].end |
5839.79346875 |
transcript.pyannote[757].speaker |
SPEAKER_03 |
transcript.pyannote[757].start |
5842.32471875 |
transcript.pyannote[757].end |
5843.11784375 |
transcript.pyannote[758].speaker |
SPEAKER_03 |
transcript.pyannote[758].start |
5844.28221875 |
transcript.pyannote[758].end |
5849.78346875 |
transcript.pyannote[759].speaker |
SPEAKER_03 |
transcript.pyannote[759].start |
5853.66471875 |
transcript.pyannote[759].end |
5858.03534375 |
transcript.pyannote[760].speaker |
SPEAKER_03 |
transcript.pyannote[760].start |
5859.19971875 |
transcript.pyannote[760].end |
5867.09721875 |
transcript.pyannote[761].speaker |
SPEAKER_03 |
transcript.pyannote[761].start |
5867.31659375 |
transcript.pyannote[761].end |
5874.21846875 |
transcript.pyannote[762].speaker |
SPEAKER_03 |
transcript.pyannote[762].start |
5877.89721875 |
transcript.pyannote[762].end |
5882.36909375 |
transcript.pyannote[763].speaker |
SPEAKER_03 |
transcript.pyannote[763].start |
5883.02721875 |
transcript.pyannote[763].end |
5904.03659375 |
transcript.pyannote[764].speaker |
SPEAKER_03 |
transcript.pyannote[764].start |
5904.28971875 |
transcript.pyannote[764].end |
5905.65659375 |
transcript.pyannote[765].speaker |
SPEAKER_03 |
transcript.pyannote[765].start |
5906.14596875 |
transcript.pyannote[765].end |
5907.00659375 |
transcript.pyannote[766].speaker |
SPEAKER_03 |
transcript.pyannote[766].start |
5909.75721875 |
transcript.pyannote[766].end |
5917.18221875 |
transcript.pyannote[767].speaker |
SPEAKER_03 |
transcript.pyannote[767].start |
5917.92471875 |
transcript.pyannote[767].end |
5920.13534375 |
transcript.pyannote[768].speaker |
SPEAKER_03 |
transcript.pyannote[768].start |
5921.23221875 |
transcript.pyannote[768].end |
5922.70034375 |
transcript.pyannote[769].speaker |
SPEAKER_03 |
transcript.pyannote[769].start |
5923.42596875 |
transcript.pyannote[769].end |
5923.88159375 |
transcript.pyannote[770].speaker |
SPEAKER_03 |
transcript.pyannote[770].start |
5924.52284375 |
transcript.pyannote[770].end |
5925.92346875 |
transcript.pyannote[771].speaker |
SPEAKER_03 |
transcript.pyannote[771].start |
5926.61534375 |
transcript.pyannote[771].end |
5939.82846875 |
transcript.pyannote[772].speaker |
SPEAKER_03 |
transcript.pyannote[772].start |
5940.14909375 |
transcript.pyannote[772].end |
5940.94221875 |
transcript.pyannote[773].speaker |
SPEAKER_03 |
transcript.pyannote[773].start |
5941.36409375 |
transcript.pyannote[773].end |
5944.92471875 |
transcript.pyannote[774].speaker |
SPEAKER_03 |
transcript.pyannote[774].start |
5945.48159375 |
transcript.pyannote[774].end |
5971.72221875 |
transcript.pyannote[775].speaker |
SPEAKER_03 |
transcript.pyannote[775].start |
5973.89909375 |
transcript.pyannote[775].end |
5977.15596875 |
transcript.pyannote[776].speaker |
SPEAKER_03 |
transcript.pyannote[776].start |
5977.64534375 |
transcript.pyannote[776].end |
5980.21034375 |
transcript.pyannote[777].speaker |
SPEAKER_03 |
transcript.pyannote[777].start |
5981.08784375 |
transcript.pyannote[777].end |
5982.91034375 |
transcript.pyannote[778].speaker |
SPEAKER_03 |
transcript.pyannote[778].start |
5983.06221875 |
transcript.pyannote[778].end |
5986.48784375 |
transcript.pyannote[779].speaker |
SPEAKER_03 |
transcript.pyannote[779].start |
5986.55534375 |
transcript.pyannote[779].end |
5993.42346875 |
transcript.pyannote[780].speaker |
SPEAKER_03 |
transcript.pyannote[780].start |
5994.38534375 |
transcript.pyannote[780].end |
5997.47346875 |
transcript.pyannote[781].speaker |
SPEAKER_03 |
transcript.pyannote[781].start |
5997.97971875 |
transcript.pyannote[781].end |
6000.25784375 |
transcript.pyannote[782].speaker |
SPEAKER_03 |
transcript.pyannote[782].start |
6002.16471875 |
transcript.pyannote[782].end |
6003.24471875 |
transcript.pyannote[783].speaker |
SPEAKER_03 |
transcript.pyannote[783].start |
6005.47221875 |
transcript.pyannote[783].end |
6005.89409375 |
transcript.pyannote[784].speaker |
SPEAKER_03 |
transcript.pyannote[784].start |
6007.53096875 |
transcript.pyannote[784].end |
6009.04971875 |
transcript.pyannote[785].speaker |
SPEAKER_03 |
transcript.pyannote[785].start |
6010.50096875 |
transcript.pyannote[785].end |
6019.83284375 |
transcript.pyannote[786].speaker |
SPEAKER_03 |
transcript.pyannote[786].start |
6020.17034375 |
transcript.pyannote[786].end |
6029.58659375 |
transcript.pyannote[787].speaker |
SPEAKER_03 |
transcript.pyannote[787].start |
6030.22784375 |
transcript.pyannote[787].end |
6039.62721875 |
transcript.pyannote[788].speaker |
SPEAKER_03 |
transcript.pyannote[788].start |
6040.08284375 |
transcript.pyannote[788].end |
6042.56346875 |
transcript.pyannote[789].speaker |
SPEAKER_03 |
transcript.pyannote[789].start |
6044.16659375 |
transcript.pyannote[789].end |
6053.80221875 |
transcript.pyannote[790].speaker |
SPEAKER_03 |
transcript.pyannote[790].start |
6055.03409375 |
transcript.pyannote[790].end |
6055.75971875 |
transcript.pyannote[791].speaker |
SPEAKER_03 |
transcript.pyannote[791].start |
6056.97471875 |
transcript.pyannote[791].end |
6066.54284375 |
transcript.pyannote[792].speaker |
SPEAKER_03 |
transcript.pyannote[792].start |
6067.67346875 |
transcript.pyannote[792].end |
6074.81159375 |
transcript.pyannote[793].speaker |
SPEAKER_03 |
transcript.pyannote[793].start |
6075.09846875 |
transcript.pyannote[793].end |
6080.44784375 |
transcript.pyannote[794].speaker |
SPEAKER_03 |
transcript.pyannote[794].start |
6081.30846875 |
transcript.pyannote[794].end |
6087.97409375 |
transcript.pyannote[795].speaker |
SPEAKER_03 |
transcript.pyannote[795].start |
6088.85159375 |
transcript.pyannote[795].end |
6090.97784375 |
transcript.pyannote[796].speaker |
SPEAKER_03 |
transcript.pyannote[796].start |
6091.72034375 |
transcript.pyannote[796].end |
6093.62721875 |
transcript.pyannote[797].speaker |
SPEAKER_03 |
transcript.pyannote[797].start |
6094.31909375 |
transcript.pyannote[797].end |
6097.08659375 |
transcript.pyannote[798].speaker |
SPEAKER_03 |
transcript.pyannote[798].start |
6097.59284375 |
transcript.pyannote[798].end |
6101.82846875 |
transcript.pyannote[799].speaker |
SPEAKER_03 |
transcript.pyannote[799].start |
6101.96346875 |
transcript.pyannote[799].end |
6114.07971875 |
transcript.pyannote[800].speaker |
SPEAKER_03 |
transcript.pyannote[800].start |
6115.61534375 |
transcript.pyannote[800].end |
6120.86346875 |
transcript.pyannote[801].speaker |
SPEAKER_05 |
transcript.pyannote[801].start |
6370.90034375 |
transcript.pyannote[801].end |
6371.25471875 |
transcript.pyannote[802].speaker |
SPEAKER_05 |
transcript.pyannote[802].start |
6455.17409375 |
transcript.pyannote[802].end |
6455.59596875 |
transcript.pyannote[803].speaker |
SPEAKER_03 |
transcript.pyannote[803].start |
6692.35221875 |
transcript.pyannote[803].end |
6695.72721875 |
transcript.pyannote[804].speaker |
SPEAKER_03 |
transcript.pyannote[804].start |
6703.00034375 |
transcript.pyannote[804].end |
6703.92846875 |
transcript.pyannote[805].speaker |
SPEAKER_03 |
transcript.pyannote[805].start |
6704.23221875 |
transcript.pyannote[805].end |
6704.55284375 |
transcript.pyannote[806].speaker |
SPEAKER_03 |
transcript.pyannote[806].start |
6704.68784375 |
transcript.pyannote[806].end |
6705.46409375 |
transcript.pyannote[807].speaker |
SPEAKER_03 |
transcript.pyannote[807].start |
6706.18971875 |
transcript.pyannote[807].end |
6708.40034375 |
transcript.pyannote[808].speaker |
SPEAKER_03 |
transcript.pyannote[808].start |
6710.15534375 |
transcript.pyannote[808].end |
6712.55159375 |
transcript.pyannote[809].speaker |
SPEAKER_03 |
transcript.pyannote[809].start |
6713.71596875 |
transcript.pyannote[809].end |
6714.40784375 |
transcript.pyannote[810].speaker |
SPEAKER_03 |
transcript.pyannote[810].start |
6714.45846875 |
transcript.pyannote[810].end |
6715.30221875 |
transcript.pyannote[811].speaker |
SPEAKER_03 |
transcript.pyannote[811].start |
6715.33596875 |
transcript.pyannote[811].end |
6716.31471875 |
transcript.pyannote[812].speaker |
SPEAKER_03 |
transcript.pyannote[812].start |
6716.95596875 |
transcript.pyannote[812].end |
6717.02346875 |
transcript.pyannote[813].speaker |
SPEAKER_03 |
transcript.pyannote[813].start |
6717.73221875 |
transcript.pyannote[813].end |
6721.59659375 |
transcript.pyannote[814].speaker |
SPEAKER_03 |
transcript.pyannote[814].start |
6722.17034375 |
transcript.pyannote[814].end |
6725.74784375 |
transcript.pyannote[815].speaker |
SPEAKER_03 |
transcript.pyannote[815].start |
6728.00909375 |
transcript.pyannote[815].end |
6735.43409375 |
transcript.pyannote[816].speaker |
SPEAKER_03 |
transcript.pyannote[816].start |
6736.51409375 |
transcript.pyannote[816].end |
6738.48846875 |
transcript.pyannote[817].speaker |
SPEAKER_03 |
transcript.pyannote[817].start |
6741.12096875 |
transcript.pyannote[817].end |
6748.17471875 |
transcript.pyannote[818].speaker |
SPEAKER_03 |
transcript.pyannote[818].start |
6748.54596875 |
transcript.pyannote[818].end |
6753.60846875 |
transcript.pyannote[819].speaker |
SPEAKER_05 |
transcript.pyannote[819].start |
6754.80659375 |
transcript.pyannote[819].end |
6755.04284375 |
transcript.pyannote[820].speaker |
SPEAKER_03 |
transcript.pyannote[820].start |
6755.58284375 |
transcript.pyannote[820].end |
6761.75909375 |
transcript.pyannote[821].speaker |
SPEAKER_03 |
transcript.pyannote[821].start |
6764.23971875 |
transcript.pyannote[821].end |
6766.26471875 |
transcript.pyannote[822].speaker |
SPEAKER_03 |
transcript.pyannote[822].start |
6766.48409375 |
transcript.pyannote[822].end |
6771.12471875 |
transcript.pyannote[823].speaker |
SPEAKER_03 |
transcript.pyannote[823].start |
6772.67721875 |
transcript.pyannote[823].end |
6773.06534375 |
transcript.pyannote[824].speaker |
SPEAKER_03 |
transcript.pyannote[824].start |
6774.33096875 |
transcript.pyannote[824].end |
6776.76096875 |
transcript.pyannote[825].speaker |
SPEAKER_03 |
transcript.pyannote[825].start |
6779.84909375 |
transcript.pyannote[825].end |
6789.28221875 |
transcript.pyannote[826].speaker |
SPEAKER_03 |
transcript.pyannote[826].start |
6789.51846875 |
transcript.pyannote[826].end |
6791.59409375 |
transcript.pyannote[827].speaker |
SPEAKER_03 |
transcript.pyannote[827].start |
6791.84721875 |
transcript.pyannote[827].end |
6797.44971875 |
transcript.pyannote[828].speaker |
SPEAKER_03 |
transcript.pyannote[828].start |
6798.00659375 |
transcript.pyannote[828].end |
6801.93846875 |
transcript.pyannote[829].speaker |
SPEAKER_03 |
transcript.pyannote[829].start |
6802.61346875 |
transcript.pyannote[829].end |
6803.84534375 |
transcript.pyannote[830].speaker |
SPEAKER_03 |
transcript.pyannote[830].start |
6803.98034375 |
transcript.pyannote[830].end |
6805.21221875 |
transcript.pyannote[831].speaker |
SPEAKER_03 |
transcript.pyannote[831].start |
6808.65471875 |
transcript.pyannote[831].end |
6808.92471875 |
transcript.pyannote[832].speaker |
SPEAKER_03 |
transcript.pyannote[832].start |
6811.10159375 |
transcript.pyannote[832].end |
6816.14721875 |
transcript.pyannote[833].speaker |
SPEAKER_03 |
transcript.pyannote[833].start |
6818.05409375 |
transcript.pyannote[833].end |
6825.15846875 |
transcript.pyannote[834].speaker |
SPEAKER_03 |
transcript.pyannote[834].start |
6826.18784375 |
transcript.pyannote[834].end |
6829.98471875 |
transcript.pyannote[835].speaker |
SPEAKER_03 |
transcript.pyannote[835].start |
6832.46534375 |
transcript.pyannote[835].end |
6833.37659375 |
transcript.pyannote[836].speaker |
SPEAKER_03 |
transcript.pyannote[836].start |
6833.51159375 |
transcript.pyannote[836].end |
6838.48971875 |
transcript.pyannote[837].speaker |
SPEAKER_03 |
transcript.pyannote[837].start |
6838.91159375 |
transcript.pyannote[837].end |
6848.76659375 |
transcript.pyannote[838].speaker |
SPEAKER_03 |
transcript.pyannote[838].start |
6850.01534375 |
transcript.pyannote[838].end |
6858.94221875 |
transcript.pyannote[839].speaker |
SPEAKER_03 |
transcript.pyannote[839].start |
6860.25846875 |
transcript.pyannote[839].end |
6863.12721875 |
transcript.pyannote[840].speaker |
SPEAKER_03 |
transcript.pyannote[840].start |
6863.88659375 |
transcript.pyannote[840].end |
6874.60221875 |
transcript.pyannote[841].speaker |
SPEAKER_03 |
transcript.pyannote[841].start |
6876.13784375 |
transcript.pyannote[841].end |
6882.02721875 |
transcript.pyannote[842].speaker |
SPEAKER_03 |
transcript.pyannote[842].start |
6882.87096875 |
transcript.pyannote[842].end |
6891.76409375 |
transcript.pyannote[843].speaker |
SPEAKER_03 |
transcript.pyannote[843].start |
6893.01284375 |
transcript.pyannote[843].end |
6897.19784375 |
transcript.pyannote[844].speaker |
SPEAKER_03 |
transcript.pyannote[844].start |
6897.41721875 |
transcript.pyannote[844].end |
6905.90534375 |
transcript.pyannote[845].speaker |
SPEAKER_03 |
transcript.pyannote[845].start |
6907.72784375 |
transcript.pyannote[845].end |
6908.60534375 |
transcript.pyannote[846].speaker |
SPEAKER_03 |
transcript.pyannote[846].start |
6911.72721875 |
transcript.pyannote[846].end |
6921.90284375 |
transcript.pyannote[847].speaker |
SPEAKER_03 |
transcript.pyannote[847].start |
6924.23159375 |
transcript.pyannote[847].end |
6926.44221875 |
transcript.pyannote[848].speaker |
SPEAKER_03 |
transcript.pyannote[848].start |
6926.81346875 |
transcript.pyannote[848].end |
6927.65721875 |
transcript.pyannote[849].speaker |
SPEAKER_03 |
transcript.pyannote[849].start |
6928.06221875 |
transcript.pyannote[849].end |
6933.69846875 |
transcript.pyannote[850].speaker |
SPEAKER_03 |
transcript.pyannote[850].start |
6934.42409375 |
transcript.pyannote[850].end |
6946.84409375 |
transcript.pyannote[851].speaker |
SPEAKER_03 |
transcript.pyannote[851].start |
6948.58221875 |
transcript.pyannote[851].end |
6949.05471875 |
transcript.pyannote[852].speaker |
SPEAKER_03 |
transcript.pyannote[852].start |
6949.32471875 |
transcript.pyannote[852].end |
6963.14534375 |
transcript.pyannote[853].speaker |
SPEAKER_03 |
transcript.pyannote[853].start |
6963.80346875 |
transcript.pyannote[853].end |
6965.67659375 |
transcript.pyannote[854].speaker |
SPEAKER_03 |
transcript.pyannote[854].start |
6966.28409375 |
transcript.pyannote[854].end |
6967.00971875 |
transcript.pyannote[855].speaker |
SPEAKER_03 |
transcript.pyannote[855].start |
6967.71846875 |
transcript.pyannote[855].end |
6974.92409375 |
transcript.pyannote[856].speaker |
SPEAKER_03 |
transcript.pyannote[856].start |
6976.24034375 |
transcript.pyannote[856].end |
6982.83846875 |
transcript.pyannote[857].speaker |
SPEAKER_03 |
transcript.pyannote[857].start |
6986.38221875 |
transcript.pyannote[857].end |
6989.14971875 |
transcript.pyannote[858].speaker |
SPEAKER_03 |
transcript.pyannote[858].start |
6989.80784375 |
transcript.pyannote[858].end |
6991.00596875 |
transcript.pyannote[859].speaker |
SPEAKER_03 |
transcript.pyannote[859].start |
6992.38971875 |
transcript.pyannote[859].end |
6996.10221875 |
transcript.pyannote[860].speaker |
SPEAKER_03 |
transcript.pyannote[860].start |
6996.52409375 |
transcript.pyannote[860].end |
7002.02534375 |
transcript.pyannote[861].speaker |
SPEAKER_03 |
transcript.pyannote[861].start |
7004.37096875 |
transcript.pyannote[861].end |
7008.11721875 |
transcript.pyannote[862].speaker |
SPEAKER_03 |
transcript.pyannote[862].start |
7010.85096875 |
transcript.pyannote[862].end |
7011.81284375 |
transcript.pyannote[863].speaker |
SPEAKER_03 |
transcript.pyannote[863].start |
7013.09534375 |
transcript.pyannote[863].end |
7014.68159375 |
transcript.pyannote[864].speaker |
SPEAKER_03 |
transcript.pyannote[864].start |
7017.43221875 |
transcript.pyannote[864].end |
7025.54909375 |
transcript.pyannote[865].speaker |
SPEAKER_03 |
transcript.pyannote[865].start |
7027.38846875 |
transcript.pyannote[865].end |
7030.81409375 |
transcript.pyannote[866].speaker |
SPEAKER_03 |
transcript.pyannote[866].start |
7031.37096875 |
transcript.pyannote[866].end |
7031.72534375 |
transcript.pyannote[867].speaker |
SPEAKER_03 |
transcript.pyannote[867].start |
7032.70409375 |
transcript.pyannote[867].end |
7039.85909375 |
transcript.pyannote[868].speaker |
SPEAKER_03 |
transcript.pyannote[868].start |
7041.96846875 |
transcript.pyannote[868].end |
7050.47346875 |
transcript.pyannote[869].speaker |
SPEAKER_03 |
transcript.pyannote[869].start |
7052.02596875 |
transcript.pyannote[869].end |
7061.17221875 |
transcript.pyannote[870].speaker |
SPEAKER_03 |
transcript.pyannote[870].start |
7061.22284375 |
transcript.pyannote[870].end |
7068.02346875 |
transcript.pyannote[871].speaker |
SPEAKER_03 |
transcript.pyannote[871].start |
7068.14159375 |
transcript.pyannote[871].end |
7069.66034375 |
transcript.pyannote[872].speaker |
SPEAKER_03 |
transcript.pyannote[872].start |
7071.61784375 |
transcript.pyannote[872].end |
7072.02284375 |
transcript.pyannote[873].speaker |
SPEAKER_03 |
transcript.pyannote[873].start |
7072.30971875 |
transcript.pyannote[873].end |
7075.90409375 |
transcript.pyannote[874].speaker |
SPEAKER_03 |
transcript.pyannote[874].start |
7076.84909375 |
transcript.pyannote[874].end |
7083.43034375 |
transcript.pyannote[875].speaker |
SPEAKER_03 |
transcript.pyannote[875].start |
7083.78471875 |
transcript.pyannote[875].end |
7085.74221875 |
transcript.pyannote[876].speaker |
SPEAKER_03 |
transcript.pyannote[876].start |
7085.99534375 |
transcript.pyannote[876].end |
7088.29034375 |
transcript.pyannote[877].speaker |
SPEAKER_03 |
transcript.pyannote[877].start |
7089.26909375 |
transcript.pyannote[877].end |
7091.49659375 |
transcript.pyannote[878].speaker |
SPEAKER_03 |
transcript.pyannote[878].start |
7092.89721875 |
transcript.pyannote[878].end |
7095.41159375 |
transcript.pyannote[879].speaker |
SPEAKER_03 |
transcript.pyannote[879].start |
7096.47471875 |
transcript.pyannote[879].end |
7106.48159375 |
transcript.pyannote[880].speaker |
SPEAKER_03 |
transcript.pyannote[880].start |
7107.34221875 |
transcript.pyannote[880].end |
7132.09784375 |
transcript.pyannote[881].speaker |
SPEAKER_03 |
transcript.pyannote[881].start |
7132.23284375 |
transcript.pyannote[881].end |
7135.00034375 |
transcript.pyannote[882].speaker |
SPEAKER_03 |
transcript.pyannote[882].start |
7135.92846875 |
transcript.pyannote[882].end |
7152.58409375 |
transcript.pyannote[883].speaker |
SPEAKER_03 |
transcript.pyannote[883].start |
7152.90471875 |
transcript.pyannote[883].end |
7159.73909375 |
transcript.pyannote[884].speaker |
SPEAKER_03 |
transcript.pyannote[884].start |
7160.90346875 |
transcript.pyannote[884].end |
7176.63096875 |
transcript.pyannote[885].speaker |
SPEAKER_03 |
transcript.pyannote[885].start |
7177.42409375 |
transcript.pyannote[885].end |
7178.43659375 |
transcript.pyannote[886].speaker |
SPEAKER_03 |
transcript.pyannote[886].start |
7179.17909375 |
transcript.pyannote[886].end |
7188.07221875 |
transcript.pyannote[887].speaker |
SPEAKER_03 |
transcript.pyannote[887].start |
7189.42221875 |
transcript.pyannote[887].end |
7192.96596875 |
transcript.pyannote[888].speaker |
SPEAKER_03 |
transcript.pyannote[888].start |
7193.30346875 |
transcript.pyannote[888].end |
7195.46346875 |
transcript.pyannote[889].speaker |
SPEAKER_03 |
transcript.pyannote[889].start |
7196.42534375 |
transcript.pyannote[889].end |
7197.52221875 |
transcript.pyannote[890].speaker |
SPEAKER_03 |
transcript.pyannote[890].start |
7198.28159375 |
transcript.pyannote[890].end |
7221.60284375 |
transcript.pyannote[891].speaker |
SPEAKER_03 |
transcript.pyannote[891].start |
7222.27784375 |
transcript.pyannote[891].end |
7226.46284375 |
transcript.pyannote[892].speaker |
SPEAKER_03 |
transcript.pyannote[892].start |
7227.32346875 |
transcript.pyannote[892].end |
7232.35221875 |
transcript.pyannote[893].speaker |
SPEAKER_03 |
transcript.pyannote[893].start |
7234.00596875 |
transcript.pyannote[893].end |
7235.28846875 |
transcript.pyannote[894].speaker |
SPEAKER_03 |
transcript.pyannote[894].start |
7235.74409375 |
transcript.pyannote[894].end |
7252.65284375 |
transcript.pyannote[895].speaker |
SPEAKER_03 |
transcript.pyannote[895].start |
7253.14221875 |
transcript.pyannote[895].end |
7267.18221875 |
transcript.pyannote[896].speaker |
SPEAKER_03 |
transcript.pyannote[896].start |
7267.63784375 |
transcript.pyannote[896].end |
7268.93721875 |
transcript.pyannote[897].speaker |
SPEAKER_03 |
transcript.pyannote[897].start |
7269.25784375 |
transcript.pyannote[897].end |
7270.11846875 |
transcript.pyannote[898].speaker |
SPEAKER_03 |
transcript.pyannote[898].start |
7271.29971875 |
transcript.pyannote[898].end |
7276.42971875 |
transcript.pyannote[899].speaker |
SPEAKER_03 |
transcript.pyannote[899].start |
7277.99909375 |
transcript.pyannote[899].end |
7278.82596875 |
transcript.pyannote[900].speaker |
SPEAKER_03 |
transcript.pyannote[900].start |
7279.46721875 |
transcript.pyannote[900].end |
7294.03034375 |
transcript.pyannote[901].speaker |
SPEAKER_03 |
transcript.pyannote[901].start |
7294.11471875 |
transcript.pyannote[901].end |
7295.29596875 |
transcript.pyannote[902].speaker |
SPEAKER_03 |
transcript.pyannote[902].start |
7296.00471875 |
transcript.pyannote[902].end |
7297.69221875 |
transcript.pyannote[903].speaker |
SPEAKER_03 |
transcript.pyannote[903].start |
7298.87346875 |
transcript.pyannote[903].end |
7306.80471875 |
transcript.pyannote[904].speaker |
SPEAKER_03 |
transcript.pyannote[904].start |
7308.59346875 |
transcript.pyannote[904].end |
7311.61409375 |
transcript.pyannote[905].speaker |
SPEAKER_03 |
transcript.pyannote[905].start |
7312.12034375 |
transcript.pyannote[905].end |
7318.26284375 |
transcript.pyannote[906].speaker |
SPEAKER_03 |
transcript.pyannote[906].start |
7318.61721875 |
transcript.pyannote[906].end |
7319.98409375 |
transcript.pyannote[907].speaker |
SPEAKER_03 |
transcript.pyannote[907].start |
7320.52409375 |
transcript.pyannote[907].end |
7321.85721875 |
transcript.pyannote[908].speaker |
SPEAKER_03 |
transcript.pyannote[908].start |
7322.51534375 |
transcript.pyannote[908].end |
7323.25784375 |
transcript.pyannote[909].speaker |
SPEAKER_03 |
transcript.pyannote[909].start |
7323.51096875 |
transcript.pyannote[909].end |
7325.04659375 |
transcript.pyannote[910].speaker |
SPEAKER_03 |
transcript.pyannote[910].start |
7325.80596875 |
transcript.pyannote[910].end |
7329.33284375 |
transcript.pyannote[911].speaker |
SPEAKER_03 |
transcript.pyannote[911].start |
7330.37909375 |
transcript.pyannote[911].end |
7333.88909375 |
transcript.pyannote[912].speaker |
SPEAKER_03 |
transcript.pyannote[912].start |
7335.01971875 |
transcript.pyannote[912].end |
7338.04034375 |
transcript.pyannote[913].speaker |
SPEAKER_03 |
transcript.pyannote[913].start |
7338.49596875 |
transcript.pyannote[913].end |
7345.12784375 |
transcript.pyannote[914].speaker |
SPEAKER_03 |
transcript.pyannote[914].start |
7345.68471875 |
transcript.pyannote[914].end |
7350.37596875 |
transcript.pyannote[915].speaker |
SPEAKER_03 |
transcript.pyannote[915].start |
7351.23659375 |
transcript.pyannote[915].end |
7369.93409375 |
transcript.pyannote[916].speaker |
SPEAKER_03 |
transcript.pyannote[916].start |
7370.92971875 |
transcript.pyannote[916].end |
7391.93909375 |
transcript.pyannote[917].speaker |
SPEAKER_03 |
transcript.pyannote[917].start |
7393.86284375 |
transcript.pyannote[917].end |
7399.60034375 |
transcript.pyannote[918].speaker |
SPEAKER_03 |
transcript.pyannote[918].start |
7400.00534375 |
transcript.pyannote[918].end |
7402.43534375 |
transcript.pyannote[919].speaker |
SPEAKER_03 |
transcript.pyannote[919].start |
7402.85721875 |
transcript.pyannote[919].end |
7421.43659375 |
transcript.pyannote[920].speaker |
SPEAKER_03 |
transcript.pyannote[920].start |
7421.97659375 |
transcript.pyannote[920].end |
7429.89096875 |
transcript.pyannote[921].speaker |
SPEAKER_03 |
transcript.pyannote[921].start |
7431.67971875 |
transcript.pyannote[921].end |
7437.48471875 |
transcript.pyannote[922].speaker |
SPEAKER_03 |
transcript.pyannote[922].start |
7441.82159375 |
transcript.pyannote[922].end |
7450.41096875 |
transcript.pyannote[923].speaker |
SPEAKER_00 |
transcript.pyannote[923].start |
7442.00721875 |
transcript.pyannote[923].end |
7442.64846875 |
transcript.pyannote[924].speaker |
SPEAKER_03 |
transcript.pyannote[924].start |
7452.63846875 |
transcript.pyannote[924].end |
7455.91221875 |
transcript.pyannote[925].speaker |
SPEAKER_03 |
transcript.pyannote[925].start |
7456.48596875 |
transcript.pyannote[925].end |
7457.27909375 |
transcript.pyannote[926].speaker |
SPEAKER_03 |
transcript.pyannote[926].start |
7458.49409375 |
transcript.pyannote[926].end |
7461.26159375 |
transcript.pyannote[927].speaker |
SPEAKER_03 |
transcript.pyannote[927].start |
7461.88596875 |
transcript.pyannote[927].end |
7465.98659375 |
transcript.pyannote[928].speaker |
SPEAKER_03 |
transcript.pyannote[928].start |
7466.99909375 |
transcript.pyannote[928].end |
7468.23096875 |
transcript.pyannote[929].speaker |
SPEAKER_03 |
transcript.pyannote[929].start |
7472.14596875 |
transcript.pyannote[929].end |
7473.90096875 |
transcript.pyannote[930].speaker |
SPEAKER_03 |
transcript.pyannote[930].start |
7475.25096875 |
transcript.pyannote[930].end |
7476.11159375 |
transcript.pyannote[931].speaker |
SPEAKER_03 |
transcript.pyannote[931].start |
7477.56284375 |
transcript.pyannote[931].end |
7478.37284375 |
transcript.pyannote[932].speaker |
SPEAKER_03 |
transcript.pyannote[932].start |
7479.01409375 |
transcript.pyannote[932].end |
7481.24159375 |
transcript.pyannote[933].speaker |
SPEAKER_03 |
transcript.pyannote[933].start |
7481.35971875 |
transcript.pyannote[933].end |
7483.31721875 |
transcript.pyannote[934].speaker |
SPEAKER_03 |
transcript.pyannote[934].start |
7484.27909375 |
transcript.pyannote[934].end |
7487.04659375 |
transcript.pyannote[935].speaker |
SPEAKER_03 |
transcript.pyannote[935].start |
7487.97471875 |
transcript.pyannote[935].end |
7489.20659375 |
transcript.pyannote[936].speaker |
SPEAKER_03 |
transcript.pyannote[936].start |
7490.32034375 |
transcript.pyannote[936].end |
7493.54346875 |
transcript.pyannote[937].speaker |
SPEAKER_03 |
transcript.pyannote[937].start |
7494.31971875 |
transcript.pyannote[937].end |
7496.39534375 |
transcript.pyannote[938].speaker |
SPEAKER_03 |
transcript.pyannote[938].start |
7498.06596875 |
transcript.pyannote[938].end |
7498.87596875 |
transcript.pyannote[939].speaker |
SPEAKER_03 |
transcript.pyannote[939].start |
7500.37784375 |
transcript.pyannote[939].end |
7502.65596875 |
transcript.pyannote[940].speaker |
SPEAKER_03 |
transcript.pyannote[940].start |
7503.55034375 |
transcript.pyannote[940].end |
7505.84534375 |
transcript.pyannote[941].speaker |
SPEAKER_03 |
transcript.pyannote[941].start |
7506.77346875 |
transcript.pyannote[941].end |
7507.17846875 |
transcript.pyannote[942].speaker |
SPEAKER_03 |
transcript.pyannote[942].start |
7507.49909375 |
transcript.pyannote[942].end |
7507.93784375 |
transcript.pyannote[943].speaker |
SPEAKER_03 |
transcript.pyannote[943].start |
7508.25846875 |
transcript.pyannote[943].end |
7508.64659375 |
transcript.pyannote[944].speaker |
SPEAKER_03 |
transcript.pyannote[944].start |
7509.91221875 |
transcript.pyannote[944].end |
7513.55721875 |
transcript.pyannote[945].speaker |
SPEAKER_03 |
transcript.pyannote[945].start |
7514.21534375 |
transcript.pyannote[945].end |
7516.83096875 |
transcript.pyannote[946].speaker |
SPEAKER_03 |
transcript.pyannote[946].start |
7517.75909375 |
transcript.pyannote[946].end |
7518.92346875 |
transcript.pyannote[947].speaker |
SPEAKER_03 |
transcript.pyannote[947].start |
7520.50971875 |
transcript.pyannote[947].end |
7530.95534375 |
transcript.pyannote[948].speaker |
SPEAKER_03 |
transcript.pyannote[948].start |
7532.45721875 |
transcript.pyannote[948].end |
7534.63409375 |
transcript.pyannote[949].speaker |
SPEAKER_03 |
transcript.pyannote[949].start |
7535.69721875 |
transcript.pyannote[949].end |
7537.73909375 |
transcript.pyannote[950].speaker |
SPEAKER_03 |
transcript.pyannote[950].start |
7539.71346875 |
transcript.pyannote[950].end |
7542.54846875 |
transcript.pyannote[951].speaker |
SPEAKER_03 |
transcript.pyannote[951].start |
7544.45534375 |
transcript.pyannote[951].end |
7548.75846875 |
transcript.pyannote[952].speaker |
SPEAKER_03 |
transcript.pyannote[952].start |
7549.31534375 |
transcript.pyannote[952].end |
7552.36971875 |
transcript.pyannote[953].speaker |
SPEAKER_03 |
transcript.pyannote[953].start |
7553.97284375 |
transcript.pyannote[953].end |
7572.04596875 |
transcript.pyannote[954].speaker |
SPEAKER_03 |
transcript.pyannote[954].start |
7577.76659375 |
transcript.pyannote[954].end |
7585.42784375 |
transcript.pyannote[955].speaker |
SPEAKER_03 |
transcript.pyannote[955].start |
7585.96784375 |
transcript.pyannote[955].end |
7588.76909375 |
transcript.pyannote[956].speaker |
SPEAKER_03 |
transcript.pyannote[956].start |
7590.74346875 |
transcript.pyannote[956].end |
7591.70534375 |
transcript.pyannote[957].speaker |
SPEAKER_03 |
transcript.pyannote[957].start |
7593.46034375 |
transcript.pyannote[957].end |
7594.92846875 |
transcript.pyannote[958].speaker |
SPEAKER_03 |
transcript.pyannote[958].start |
7599.18096875 |
transcript.pyannote[958].end |
7601.71221875 |
transcript.pyannote[959].speaker |
SPEAKER_03 |
transcript.pyannote[959].start |
7604.41221875 |
transcript.pyannote[959].end |
7612.78221875 |
transcript.pyannote[960].speaker |
SPEAKER_03 |
transcript.pyannote[960].start |
7614.52034375 |
transcript.pyannote[960].end |
7620.67971875 |
transcript.pyannote[961].speaker |
SPEAKER_03 |
transcript.pyannote[961].start |
7622.67096875 |
transcript.pyannote[961].end |
7624.59471875 |
transcript.pyannote[962].speaker |
SPEAKER_03 |
transcript.pyannote[962].start |
7628.49284375 |
transcript.pyannote[962].end |
7629.15096875 |
transcript.pyannote[963].speaker |
SPEAKER_03 |
transcript.pyannote[963].start |
7634.38221875 |
transcript.pyannote[963].end |
7667.87909375 |
transcript.pyannote[964].speaker |
SPEAKER_03 |
transcript.pyannote[964].start |
7669.04346875 |
transcript.pyannote[964].end |
7669.76909375 |
transcript.pyannote[965].speaker |
SPEAKER_03 |
transcript.pyannote[965].start |
7672.04721875 |
transcript.pyannote[965].end |
7672.50284375 |
transcript.pyannote[966].speaker |
SPEAKER_03 |
transcript.pyannote[966].start |
7673.27909375 |
transcript.pyannote[966].end |
7674.39284375 |
transcript.pyannote[967].speaker |
SPEAKER_03 |
transcript.pyannote[967].start |
7675.91159375 |
transcript.pyannote[967].end |
7678.32471875 |
transcript.pyannote[968].speaker |
SPEAKER_03 |
transcript.pyannote[968].start |
7679.10096875 |
transcript.pyannote[968].end |
7681.56471875 |
transcript.pyannote[969].speaker |
SPEAKER_03 |
transcript.pyannote[969].start |
7681.86846875 |
transcript.pyannote[969].end |
7684.58534375 |
transcript.pyannote[970].speaker |
SPEAKER_03 |
transcript.pyannote[970].start |
7684.73721875 |
transcript.pyannote[970].end |
7687.87596875 |
transcript.pyannote[971].speaker |
SPEAKER_03 |
transcript.pyannote[971].start |
7689.25971875 |
transcript.pyannote[971].end |
7690.71096875 |
transcript.pyannote[972].speaker |
SPEAKER_03 |
transcript.pyannote[972].start |
7691.92596875 |
transcript.pyannote[972].end |
7693.90034375 |
transcript.pyannote[973].speaker |
SPEAKER_03 |
transcript.pyannote[973].start |
7694.35596875 |
transcript.pyannote[973].end |
7700.41409375 |
transcript.pyannote[974].speaker |
SPEAKER_03 |
transcript.pyannote[974].start |
7701.66284375 |
transcript.pyannote[974].end |
7704.80159375 |
transcript.pyannote[975].speaker |
SPEAKER_03 |
transcript.pyannote[975].start |
7705.45971875 |
transcript.pyannote[975].end |
7706.67471875 |
transcript.pyannote[976].speaker |
SPEAKER_03 |
transcript.pyannote[976].start |
7707.67034375 |
transcript.pyannote[976].end |
7717.66034375 |
transcript.pyannote[977].speaker |
SPEAKER_03 |
transcript.pyannote[977].start |
7718.80784375 |
transcript.pyannote[977].end |
7720.44471875 |
transcript.pyannote[978].speaker |
SPEAKER_03 |
transcript.pyannote[978].start |
7721.25471875 |
transcript.pyannote[978].end |
7724.78159375 |
transcript.pyannote[979].speaker |
SPEAKER_03 |
transcript.pyannote[979].start |
7725.22034375 |
transcript.pyannote[979].end |
7727.17784375 |
transcript.pyannote[980].speaker |
SPEAKER_03 |
transcript.pyannote[980].start |
7729.27034375 |
transcript.pyannote[980].end |
7730.21534375 |
transcript.pyannote[981].speaker |
SPEAKER_03 |
transcript.pyannote[981].start |
7731.71721875 |
transcript.pyannote[981].end |
7734.94034375 |
transcript.pyannote[982].speaker |
SPEAKER_03 |
transcript.pyannote[982].start |
7734.95721875 |
transcript.pyannote[982].end |
7737.06659375 |
transcript.pyannote[983].speaker |
SPEAKER_03 |
transcript.pyannote[983].start |
7737.74159375 |
transcript.pyannote[983].end |
7743.22596875 |
transcript.pyannote[984].speaker |
SPEAKER_03 |
transcript.pyannote[984].start |
7743.88409375 |
transcript.pyannote[984].end |
7750.70159375 |
transcript.pyannote[985].speaker |
SPEAKER_03 |
transcript.pyannote[985].start |
7751.56221875 |
transcript.pyannote[985].end |
7754.44784375 |
transcript.pyannote[986].speaker |
SPEAKER_03 |
transcript.pyannote[986].start |
7755.57846875 |
transcript.pyannote[986].end |
7765.43346875 |
transcript.pyannote[987].speaker |
SPEAKER_03 |
transcript.pyannote[987].start |
7766.93534375 |
transcript.pyannote[987].end |
7774.96784375 |
transcript.pyannote[988].speaker |
SPEAKER_03 |
transcript.pyannote[988].start |
7775.59221875 |
transcript.pyannote[988].end |
7778.57909375 |
transcript.pyannote[989].speaker |
SPEAKER_03 |
transcript.pyannote[989].start |
7779.28784375 |
transcript.pyannote[989].end |
7780.92471875 |
transcript.pyannote[990].speaker |
SPEAKER_03 |
transcript.pyannote[990].start |
7781.17784375 |
transcript.pyannote[990].end |
7783.97909375 |
transcript.pyannote[991].speaker |
SPEAKER_03 |
transcript.pyannote[991].start |
7785.58221875 |
transcript.pyannote[991].end |
7794.79596875 |
transcript.pyannote[992].speaker |
SPEAKER_03 |
transcript.pyannote[992].start |
7795.42034375 |
transcript.pyannote[992].end |
7795.62284375 |
transcript.pyannote[993].speaker |
SPEAKER_03 |
transcript.pyannote[993].start |
7797.41159375 |
transcript.pyannote[993].end |
7802.28846875 |
transcript.pyannote[994].speaker |
SPEAKER_03 |
transcript.pyannote[994].start |
7803.28409375 |
transcript.pyannote[994].end |
7811.72159375 |
transcript.pyannote[995].speaker |
SPEAKER_03 |
transcript.pyannote[995].start |
7812.37971875 |
transcript.pyannote[995].end |
7817.52659375 |
transcript.pyannote[996].speaker |
SPEAKER_03 |
transcript.pyannote[996].start |
7819.24784375 |
transcript.pyannote[996].end |
7820.68221875 |
transcript.pyannote[997].speaker |
SPEAKER_03 |
transcript.pyannote[997].start |
7821.93096875 |
transcript.pyannote[997].end |
7823.29784375 |
transcript.pyannote[998].speaker |
SPEAKER_03 |
transcript.pyannote[998].start |
7825.06971875 |
transcript.pyannote[998].end |
7827.46596875 |
transcript.pyannote[999].speaker |
SPEAKER_03 |
transcript.pyannote[999].start |
7828.32659375 |
transcript.pyannote[999].end |
7829.72721875 |
transcript.pyannote[1000].speaker |
SPEAKER_03 |
transcript.pyannote[1000].start |
7830.79034375 |
transcript.pyannote[1000].end |
7837.48971875 |
transcript.pyannote[1001].speaker |
SPEAKER_03 |
transcript.pyannote[1001].start |
7838.63721875 |
transcript.pyannote[1001].end |
7844.23971875 |
transcript.pyannote[1002].speaker |
SPEAKER_03 |
transcript.pyannote[1002].start |
7845.25221875 |
transcript.pyannote[1002].end |
7851.10784375 |
transcript.pyannote[1003].speaker |
SPEAKER_03 |
transcript.pyannote[1003].start |
7851.83346875 |
transcript.pyannote[1003].end |
7866.59909375 |
transcript.pyannote[1004].speaker |
SPEAKER_03 |
transcript.pyannote[1004].start |
7866.95346875 |
transcript.pyannote[1004].end |
7869.14721875 |
transcript.pyannote[1005].speaker |
SPEAKER_03 |
transcript.pyannote[1005].start |
7870.15971875 |
transcript.pyannote[1005].end |
7870.91909375 |
transcript.pyannote[1006].speaker |
SPEAKER_03 |
transcript.pyannote[1006].start |
7871.57721875 |
transcript.pyannote[1006].end |
7876.25159375 |
transcript.pyannote[1007].speaker |
SPEAKER_03 |
transcript.pyannote[1007].start |
7877.77034375 |
transcript.pyannote[1007].end |
7880.04846875 |
transcript.pyannote[1008].speaker |
SPEAKER_03 |
transcript.pyannote[1008].start |
7880.21721875 |
transcript.pyannote[1008].end |
7882.05659375 |
transcript.pyannote[1009].speaker |
SPEAKER_03 |
transcript.pyannote[1009].start |
7883.59221875 |
transcript.pyannote[1009].end |
7886.37659375 |
transcript.pyannote[1010].speaker |
SPEAKER_03 |
transcript.pyannote[1010].start |
7887.13596875 |
transcript.pyannote[1010].end |
7889.54909375 |
transcript.pyannote[1011].speaker |
SPEAKER_03 |
transcript.pyannote[1011].start |
7893.85221875 |
transcript.pyannote[1011].end |
7895.75909375 |
transcript.pyannote[1012].speaker |
SPEAKER_03 |
transcript.pyannote[1012].start |
7895.87721875 |
transcript.pyannote[1012].end |
7897.05846875 |
transcript.pyannote[1013].speaker |
SPEAKER_03 |
transcript.pyannote[1013].start |
7897.95284375 |
transcript.pyannote[1013].end |
7898.57721875 |
transcript.pyannote[1014].speaker |
SPEAKER_03 |
transcript.pyannote[1014].start |
7901.15909375 |
transcript.pyannote[1014].end |
7901.88471875 |
transcript.pyannote[1015].speaker |
SPEAKER_03 |
transcript.pyannote[1015].start |
7903.15034375 |
transcript.pyannote[1015].end |
7905.64784375 |
transcript.pyannote[1016].speaker |
SPEAKER_03 |
transcript.pyannote[1016].start |
7905.86721875 |
transcript.pyannote[1016].end |
7906.39034375 |
transcript.pyannote[1017].speaker |
SPEAKER_03 |
transcript.pyannote[1017].start |
7909.24221875 |
transcript.pyannote[1017].end |
7912.02659375 |
transcript.pyannote[1018].speaker |
SPEAKER_03 |
transcript.pyannote[1018].start |
7912.65096875 |
transcript.pyannote[1018].end |
7917.37596875 |
transcript.pyannote[1019].speaker |
SPEAKER_03 |
transcript.pyannote[1019].start |
7918.33784375 |
transcript.pyannote[1019].end |
7928.20971875 |
transcript.pyannote[1020].speaker |
SPEAKER_03 |
transcript.pyannote[1020].start |
7929.76221875 |
transcript.pyannote[1020].end |
7930.52159375 |
transcript.pyannote[1021].speaker |
SPEAKER_03 |
transcript.pyannote[1021].start |
7931.07846875 |
transcript.pyannote[1021].end |
7933.69409375 |
transcript.pyannote[1022].speaker |
SPEAKER_03 |
transcript.pyannote[1022].start |
7933.84596875 |
transcript.pyannote[1022].end |
7938.87471875 |
transcript.pyannote[1023].speaker |
SPEAKER_03 |
transcript.pyannote[1023].start |
7939.38096875 |
transcript.pyannote[1023].end |
7942.35096875 |
transcript.pyannote[1024].speaker |
SPEAKER_03 |
transcript.pyannote[1024].start |
7942.65471875 |
transcript.pyannote[1024].end |
7946.24909375 |
transcript.pyannote[1025].speaker |
SPEAKER_03 |
transcript.pyannote[1025].start |
7947.95346875 |
transcript.pyannote[1025].end |
7950.55221875 |
transcript.pyannote[1026].speaker |
SPEAKER_03 |
transcript.pyannote[1026].start |
7951.07534375 |
transcript.pyannote[1026].end |
7953.69096875 |
transcript.pyannote[1027].speaker |
SPEAKER_03 |
transcript.pyannote[1027].start |
7954.38284375 |
transcript.pyannote[1027].end |
7955.34471875 |
transcript.pyannote[1028].speaker |
SPEAKER_03 |
transcript.pyannote[1028].start |
7956.13784375 |
transcript.pyannote[1028].end |
7964.49096875 |
transcript.pyannote[1029].speaker |
SPEAKER_03 |
transcript.pyannote[1029].start |
7965.90846875 |
transcript.pyannote[1029].end |
7966.07721875 |
transcript.pyannote[1030].speaker |
SPEAKER_03 |
transcript.pyannote[1030].start |
7967.59596875 |
transcript.pyannote[1030].end |
7969.95846875 |
transcript.pyannote[1031].speaker |
SPEAKER_03 |
transcript.pyannote[1031].start |
7971.74721875 |
transcript.pyannote[1031].end |
7989.21284375 |
transcript.pyannote[1032].speaker |
SPEAKER_03 |
transcript.pyannote[1032].start |
7990.32659375 |
transcript.pyannote[1032].end |
7992.13221875 |
transcript.pyannote[1033].speaker |
SPEAKER_03 |
transcript.pyannote[1033].start |
7993.24596875 |
transcript.pyannote[1033].end |
7995.82784375 |
transcript.pyannote[1034].speaker |
SPEAKER_03 |
transcript.pyannote[1034].start |
7996.57034375 |
transcript.pyannote[1034].end |
7998.81471875 |
transcript.pyannote[1035].speaker |
SPEAKER_03 |
transcript.pyannote[1035].start |
8001.54846875 |
transcript.pyannote[1035].end |
8002.03784375 |
transcript.pyannote[1036].speaker |
SPEAKER_03 |
transcript.pyannote[1036].start |
8003.15159375 |
transcript.pyannote[1036].end |
8004.33284375 |
transcript.pyannote[1037].speaker |
SPEAKER_03 |
transcript.pyannote[1037].start |
8005.15971875 |
transcript.pyannote[1037].end |
8005.96971875 |
transcript.pyannote[1038].speaker |
SPEAKER_03 |
transcript.pyannote[1038].start |
8007.69096875 |
transcript.pyannote[1038].end |
8008.61909375 |
transcript.pyannote[1039].speaker |
SPEAKER_03 |
transcript.pyannote[1039].start |
8009.74971875 |
transcript.pyannote[1039].end |
8010.03659375 |
transcript.pyannote[1040].speaker |
SPEAKER_03 |
transcript.pyannote[1040].start |
8010.20534375 |
transcript.pyannote[1040].end |
8027.09721875 |
transcript.pyannote[1041].speaker |
SPEAKER_03 |
transcript.pyannote[1041].start |
8027.68784375 |
transcript.pyannote[1041].end |
8035.18034375 |
transcript.pyannote[1042].speaker |
SPEAKER_03 |
transcript.pyannote[1042].start |
8035.95659375 |
transcript.pyannote[1042].end |
8038.31909375 |
transcript.pyannote[1043].speaker |
SPEAKER_03 |
transcript.pyannote[1043].start |
8039.04471875 |
transcript.pyannote[1043].end |
8041.93034375 |
transcript.pyannote[1044].speaker |
SPEAKER_03 |
transcript.pyannote[1044].start |
8042.97659375 |
transcript.pyannote[1044].end |
8045.84534375 |
transcript.pyannote[1045].speaker |
SPEAKER_03 |
transcript.pyannote[1045].start |
8046.99284375 |
transcript.pyannote[1045].end |
8047.24596875 |
transcript.pyannote[1046].speaker |
SPEAKER_03 |
transcript.pyannote[1046].start |
8047.61721875 |
transcript.pyannote[1046].end |
8052.79784375 |
transcript.pyannote[1047].speaker |
SPEAKER_03 |
transcript.pyannote[1047].start |
8053.11846875 |
transcript.pyannote[1047].end |
8056.74659375 |
transcript.pyannote[1048].speaker |
SPEAKER_03 |
transcript.pyannote[1048].start |
8057.37096875 |
transcript.pyannote[1048].end |
8061.52221875 |
transcript.pyannote[1049].speaker |
SPEAKER_03 |
transcript.pyannote[1049].start |
8061.74159375 |
transcript.pyannote[1049].end |
8064.98159375 |
transcript.pyannote[1050].speaker |
SPEAKER_03 |
transcript.pyannote[1050].start |
8065.26846875 |
transcript.pyannote[1050].end |
8067.25971875 |
transcript.pyannote[1051].speaker |
SPEAKER_03 |
transcript.pyannote[1051].start |
8068.08659375 |
transcript.pyannote[1051].end |
8080.94534375 |
transcript.pyannote[1052].speaker |
SPEAKER_03 |
transcript.pyannote[1052].start |
8081.82284375 |
transcript.pyannote[1052].end |
8088.35346875 |
transcript.pyannote[1053].speaker |
SPEAKER_03 |
transcript.pyannote[1053].start |
8089.24784375 |
transcript.pyannote[1053].end |
8090.69909375 |
transcript.pyannote[1054].speaker |
SPEAKER_03 |
transcript.pyannote[1054].start |
8091.00284375 |
transcript.pyannote[1054].end |
8094.47909375 |
transcript.pyannote[1055].speaker |
SPEAKER_03 |
transcript.pyannote[1055].start |
8096.35221875 |
transcript.pyannote[1055].end |
8098.09034375 |
transcript.pyannote[1056].speaker |
SPEAKER_03 |
transcript.pyannote[1056].start |
8098.93409375 |
transcript.pyannote[1056].end |
8101.80284375 |
transcript.pyannote[1057].speaker |
SPEAKER_03 |
transcript.pyannote[1057].start |
8102.73096875 |
transcript.pyannote[1057].end |
8104.33409375 |
transcript.pyannote[1058].speaker |
SPEAKER_03 |
transcript.pyannote[1058].start |
8104.57034375 |
transcript.pyannote[1058].end |
8106.08909375 |
transcript.pyannote[1059].speaker |
SPEAKER_03 |
transcript.pyannote[1059].start |
8106.84846875 |
transcript.pyannote[1059].end |
8115.03284375 |
transcript.pyannote[1060].speaker |
SPEAKER_03 |
transcript.pyannote[1060].start |
8115.85971875 |
transcript.pyannote[1060].end |
8120.80409375 |
transcript.pyannote[1061].speaker |
SPEAKER_03 |
transcript.pyannote[1061].start |
8121.78284375 |
transcript.pyannote[1061].end |
8123.68971875 |
transcript.pyannote[1062].speaker |
SPEAKER_03 |
transcript.pyannote[1062].start |
8125.03971875 |
transcript.pyannote[1062].end |
8125.91721875 |
transcript.pyannote[1063].speaker |
SPEAKER_03 |
transcript.pyannote[1063].start |
8126.96346875 |
transcript.pyannote[1063].end |
8127.58784375 |
transcript.pyannote[1064].speaker |
SPEAKER_03 |
transcript.pyannote[1064].start |
8127.89159375 |
transcript.pyannote[1064].end |
8137.18971875 |
transcript.pyannote[1065].speaker |
SPEAKER_03 |
transcript.pyannote[1065].start |
8137.96596875 |
transcript.pyannote[1065].end |
8139.33284375 |
transcript.pyannote[1066].speaker |
SPEAKER_03 |
transcript.pyannote[1066].start |
8139.99096875 |
transcript.pyannote[1066].end |
8153.76096875 |
transcript.pyannote[1067].speaker |
SPEAKER_03 |
transcript.pyannote[1067].start |
8153.82846875 |
transcript.pyannote[1067].end |
8156.37659375 |
transcript.pyannote[1068].speaker |
SPEAKER_03 |
transcript.pyannote[1068].start |
8157.23721875 |
transcript.pyannote[1068].end |
8163.98721875 |
transcript.pyannote[1069].speaker |
SPEAKER_03 |
transcript.pyannote[1069].start |
8164.49346875 |
transcript.pyannote[1069].end |
8165.72534375 |
transcript.pyannote[1070].speaker |
SPEAKER_03 |
transcript.pyannote[1070].start |
8166.51846875 |
transcript.pyannote[1070].end |
8170.12971875 |
transcript.pyannote[1071].speaker |
SPEAKER_03 |
transcript.pyannote[1071].start |
8171.83409375 |
transcript.pyannote[1071].end |
8175.81659375 |
transcript.pyannote[1072].speaker |
SPEAKER_03 |
transcript.pyannote[1072].start |
8177.26784375 |
transcript.pyannote[1072].end |
8182.58346875 |
transcript.pyannote[1073].speaker |
SPEAKER_03 |
transcript.pyannote[1073].start |
8185.06409375 |
transcript.pyannote[1073].end |
8196.74159375 |
transcript.pyannote[1074].speaker |
SPEAKER_03 |
transcript.pyannote[1074].start |
8197.72034375 |
transcript.pyannote[1074].end |
8198.00721875 |
transcript.pyannote[1075].speaker |
SPEAKER_03 |
transcript.pyannote[1075].start |
8198.98596875 |
transcript.pyannote[1075].end |
8201.39909375 |
transcript.pyannote[1076].speaker |
SPEAKER_03 |
transcript.pyannote[1076].start |
8202.27659375 |
transcript.pyannote[1076].end |
8203.64346875 |
transcript.pyannote[1077].speaker |
SPEAKER_03 |
transcript.pyannote[1077].start |
8204.14971875 |
transcript.pyannote[1077].end |
8205.98909375 |
transcript.pyannote[1078].speaker |
SPEAKER_03 |
transcript.pyannote[1078].start |
8206.96784375 |
transcript.pyannote[1078].end |
8207.89596875 |
transcript.pyannote[1079].speaker |
SPEAKER_03 |
transcript.pyannote[1079].start |
8209.06034375 |
transcript.pyannote[1079].end |
8211.05159375 |
transcript.pyannote[1080].speaker |
SPEAKER_03 |
transcript.pyannote[1080].start |
8211.69284375 |
transcript.pyannote[1080].end |
8213.51534375 |
transcript.pyannote[1081].speaker |
SPEAKER_03 |
transcript.pyannote[1081].start |
8215.79346875 |
transcript.pyannote[1081].end |
8216.99159375 |
transcript.pyannote[1082].speaker |
SPEAKER_03 |
transcript.pyannote[1082].start |
8219.87721875 |
transcript.pyannote[1082].end |
8221.10909375 |
transcript.pyannote[1083].speaker |
SPEAKER_03 |
transcript.pyannote[1083].start |
8222.69534375 |
transcript.pyannote[1083].end |
8223.53909375 |
transcript.pyannote[1084].speaker |
SPEAKER_03 |
transcript.pyannote[1084].start |
8223.92721875 |
transcript.pyannote[1084].end |
8225.32784375 |
transcript.pyannote[1085].speaker |
SPEAKER_03 |
transcript.pyannote[1085].start |
8225.93534375 |
transcript.pyannote[1085].end |
8226.40784375 |
transcript.pyannote[1086].speaker |
SPEAKER_03 |
transcript.pyannote[1086].start |
8228.01096875 |
transcript.pyannote[1086].end |
8228.77034375 |
transcript.pyannote[1087].speaker |
SPEAKER_03 |
transcript.pyannote[1087].start |
8229.83346875 |
transcript.pyannote[1087].end |
8234.00159375 |
transcript.pyannote[1088].speaker |
SPEAKER_03 |
transcript.pyannote[1088].start |
8236.75221875 |
transcript.pyannote[1088].end |
8241.84846875 |
transcript.pyannote[1089].speaker |
SPEAKER_03 |
transcript.pyannote[1089].start |
8243.18159375 |
transcript.pyannote[1089].end |
8244.43034375 |
transcript.pyannote[1090].speaker |
SPEAKER_03 |
transcript.pyannote[1090].start |
8246.72534375 |
transcript.pyannote[1090].end |
8251.90596875 |
transcript.pyannote[1091].speaker |
SPEAKER_03 |
transcript.pyannote[1091].start |
8253.15471875 |
transcript.pyannote[1091].end |
8254.40346875 |
transcript.pyannote[1092].speaker |
SPEAKER_03 |
transcript.pyannote[1092].start |
8256.88409375 |
transcript.pyannote[1092].end |
8258.03159375 |
transcript.pyannote[1093].speaker |
SPEAKER_03 |
transcript.pyannote[1093].start |
8258.94284375 |
transcript.pyannote[1093].end |
8264.34284375 |
transcript.pyannote[1094].speaker |
SPEAKER_03 |
transcript.pyannote[1094].start |
8265.28784375 |
transcript.pyannote[1094].end |
8265.52409375 |
transcript.pyannote[1095].speaker |
SPEAKER_03 |
transcript.pyannote[1095].start |
8267.53221875 |
transcript.pyannote[1095].end |
8273.94471875 |
transcript.pyannote[1096].speaker |
SPEAKER_03 |
transcript.pyannote[1096].start |
8274.26534375 |
transcript.pyannote[1096].end |
8278.23096875 |
transcript.pyannote[1097].speaker |
SPEAKER_03 |
transcript.pyannote[1097].start |
8278.53471875 |
transcript.pyannote[1097].end |
8292.42284375 |
transcript.pyannote[1098].speaker |
SPEAKER_03 |
transcript.pyannote[1098].start |
8293.21596875 |
transcript.pyannote[1098].end |
8298.98721875 |
transcript.pyannote[1099].speaker |
SPEAKER_03 |
transcript.pyannote[1099].start |
8300.86034375 |
transcript.pyannote[1099].end |
8302.73346875 |
transcript.pyannote[1100].speaker |
SPEAKER_03 |
transcript.pyannote[1100].start |
8304.35346875 |
transcript.pyannote[1100].end |
8305.63596875 |
transcript.pyannote[1101].speaker |
SPEAKER_03 |
transcript.pyannote[1101].start |
8305.99034375 |
transcript.pyannote[1101].end |
8319.11909375 |
transcript.pyannote[1102].speaker |
SPEAKER_03 |
transcript.pyannote[1102].start |
8319.33846875 |
transcript.pyannote[1102].end |
8320.46909375 |
transcript.pyannote[1103].speaker |
SPEAKER_03 |
transcript.pyannote[1103].start |
8321.31284375 |
transcript.pyannote[1103].end |
8326.59471875 |
transcript.pyannote[1104].speaker |
SPEAKER_03 |
transcript.pyannote[1104].start |
8329.17659375 |
transcript.pyannote[1104].end |
8330.77971875 |
transcript.pyannote[1105].speaker |
SPEAKER_03 |
transcript.pyannote[1105].start |
8331.82596875 |
transcript.pyannote[1105].end |
8336.34846875 |
transcript.pyannote[1106].speaker |
SPEAKER_03 |
transcript.pyannote[1106].start |
8339.13284375 |
transcript.pyannote[1106].end |
8348.44784375 |
transcript.pyannote[1107].speaker |
SPEAKER_03 |
transcript.pyannote[1107].start |
8349.94971875 |
transcript.pyannote[1107].end |
8363.71971875 |
transcript.pyannote[1108].speaker |
SPEAKER_03 |
transcript.pyannote[1108].start |
8364.41159375 |
transcript.pyannote[1108].end |
8365.76159375 |
transcript.pyannote[1109].speaker |
SPEAKER_03 |
transcript.pyannote[1109].start |
8368.17471875 |
transcript.pyannote[1109].end |
8370.11534375 |
transcript.pyannote[1110].speaker |
SPEAKER_03 |
transcript.pyannote[1110].start |
8370.82409375 |
transcript.pyannote[1110].end |
8380.15596875 |
transcript.pyannote[1111].speaker |
SPEAKER_03 |
transcript.pyannote[1111].start |
8380.52721875 |
transcript.pyannote[1111].end |
8386.23096875 |
transcript.pyannote[1112].speaker |
SPEAKER_03 |
transcript.pyannote[1112].start |
8387.19284375 |
transcript.pyannote[1112].end |
8390.68596875 |
transcript.pyannote[1113].speaker |
SPEAKER_03 |
transcript.pyannote[1113].start |
8391.31034375 |
transcript.pyannote[1113].end |
8393.87534375 |
transcript.pyannote[1114].speaker |
SPEAKER_03 |
transcript.pyannote[1114].start |
8395.09034375 |
transcript.pyannote[1114].end |
8410.27784375 |
transcript.pyannote[1115].speaker |
SPEAKER_03 |
transcript.pyannote[1115].start |
8410.58159375 |
transcript.pyannote[1115].end |
8414.61471875 |
transcript.pyannote[1116].speaker |
SPEAKER_03 |
transcript.pyannote[1116].start |
8415.13784375 |
transcript.pyannote[1116].end |
8417.36534375 |
transcript.pyannote[1117].speaker |
SPEAKER_03 |
transcript.pyannote[1117].start |
8418.22596875 |
transcript.pyannote[1117].end |
8421.55034375 |
transcript.pyannote[1118].speaker |
SPEAKER_03 |
transcript.pyannote[1118].start |
8423.84534375 |
transcript.pyannote[1118].end |
8431.60784375 |
transcript.pyannote[1119].speaker |
SPEAKER_03 |
transcript.pyannote[1119].start |
8432.38409375 |
transcript.pyannote[1119].end |
8435.59034375 |
transcript.pyannote[1120].speaker |
SPEAKER_03 |
transcript.pyannote[1120].start |
8437.81784375 |
transcript.pyannote[1120].end |
8440.73721875 |
transcript.pyannote[1121].speaker |
SPEAKER_03 |
transcript.pyannote[1121].start |
8441.54721875 |
transcript.pyannote[1121].end |
8442.01971875 |
transcript.pyannote[1122].speaker |
SPEAKER_03 |
transcript.pyannote[1122].start |
8442.27284375 |
transcript.pyannote[1122].end |
8443.45409375 |
transcript.pyannote[1123].speaker |
SPEAKER_03 |
transcript.pyannote[1123].start |
8445.52971875 |
transcript.pyannote[1123].end |
8448.02721875 |
transcript.pyannote[1124].speaker |
SPEAKER_03 |
transcript.pyannote[1124].start |
8449.63034375 |
transcript.pyannote[1124].end |
8450.91284375 |
transcript.pyannote[1125].speaker |
SPEAKER_03 |
transcript.pyannote[1125].start |
8451.67221875 |
transcript.pyannote[1125].end |
8454.03471875 |
transcript.pyannote[1126].speaker |
SPEAKER_03 |
transcript.pyannote[1126].start |
8454.55784375 |
transcript.pyannote[1126].end |
8459.33346875 |
transcript.pyannote[1127].speaker |
SPEAKER_03 |
transcript.pyannote[1127].start |
8460.64971875 |
transcript.pyannote[1127].end |
8466.53909375 |
transcript.pyannote[1128].speaker |
SPEAKER_03 |
transcript.pyannote[1128].start |
8467.24784375 |
transcript.pyannote[1128].end |
8473.28909375 |
transcript.pyannote[1129].speaker |
SPEAKER_03 |
transcript.pyannote[1129].start |
8473.54221875 |
transcript.pyannote[1129].end |
8483.53221875 |
transcript.pyannote[1130].speaker |
SPEAKER_03 |
transcript.pyannote[1130].start |
8485.57409375 |
transcript.pyannote[1130].end |
8486.82284375 |
transcript.pyannote[1131].speaker |
SPEAKER_03 |
transcript.pyannote[1131].start |
8488.17284375 |
transcript.pyannote[1131].end |
8489.26971875 |
transcript.pyannote[1132].speaker |
SPEAKER_03 |
transcript.pyannote[1132].start |
8490.04596875 |
transcript.pyannote[1132].end |
8492.12159375 |
transcript.pyannote[1133].speaker |
SPEAKER_03 |
transcript.pyannote[1133].start |
8493.26909375 |
transcript.pyannote[1133].end |
8493.72471875 |
transcript.pyannote[1134].speaker |
SPEAKER_03 |
transcript.pyannote[1134].start |
8494.33221875 |
transcript.pyannote[1134].end |
8498.90534375 |
transcript.pyannote[1135].speaker |
SPEAKER_03 |
transcript.pyannote[1135].start |
8499.37784375 |
transcript.pyannote[1135].end |
8508.37221875 |
transcript.pyannote[1136].speaker |
SPEAKER_03 |
transcript.pyannote[1136].start |
8509.55346875 |
transcript.pyannote[1136].end |
8513.16471875 |
transcript.pyannote[1137].speaker |
SPEAKER_03 |
transcript.pyannote[1137].start |
8514.07596875 |
transcript.pyannote[1137].end |
8515.13909375 |
transcript.pyannote[1138].speaker |
SPEAKER_03 |
transcript.pyannote[1138].start |
8515.83096875 |
transcript.pyannote[1138].end |
8527.99784375 |
transcript.pyannote[1139].speaker |
SPEAKER_03 |
transcript.pyannote[1139].start |
8528.36909375 |
transcript.pyannote[1139].end |
8542.78034375 |
transcript.pyannote[1140].speaker |
SPEAKER_03 |
transcript.pyannote[1140].start |
8542.99971875 |
transcript.pyannote[1140].end |
8548.99034375 |
transcript.pyannote[1141].speaker |
SPEAKER_03 |
transcript.pyannote[1141].start |
8549.78346875 |
transcript.pyannote[1141].end |
8551.16721875 |
transcript.pyannote[1142].speaker |
SPEAKER_03 |
transcript.pyannote[1142].start |
8551.84221875 |
transcript.pyannote[1142].end |
8558.00159375 |
transcript.pyannote[1143].speaker |
SPEAKER_03 |
transcript.pyannote[1143].start |
8558.35596875 |
transcript.pyannote[1143].end |
8563.87409375 |
transcript.pyannote[1144].speaker |
SPEAKER_03 |
transcript.pyannote[1144].start |
8565.08909375 |
transcript.pyannote[1144].end |
8569.61159375 |
transcript.pyannote[1145].speaker |
SPEAKER_03 |
transcript.pyannote[1145].start |
8571.75471875 |
transcript.pyannote[1145].end |
8582.35221875 |
transcript.pyannote[1146].speaker |
SPEAKER_03 |
transcript.pyannote[1146].start |
8583.44909375 |
transcript.pyannote[1146].end |
8587.00971875 |
transcript.pyannote[1147].speaker |
SPEAKER_03 |
transcript.pyannote[1147].start |
8587.73534375 |
transcript.pyannote[1147].end |
8593.92846875 |
transcript.pyannote[1148].speaker |
SPEAKER_03 |
transcript.pyannote[1148].start |
8594.67096875 |
transcript.pyannote[1148].end |
8601.52221875 |
transcript.pyannote[1149].speaker |
SPEAKER_03 |
transcript.pyannote[1149].start |
8602.45034375 |
transcript.pyannote[1149].end |
8603.32784375 |
transcript.pyannote[1150].speaker |
SPEAKER_03 |
transcript.pyannote[1150].start |
8604.66096875 |
transcript.pyannote[1150].end |
8609.70659375 |
transcript.pyannote[1151].speaker |
SPEAKER_03 |
transcript.pyannote[1151].start |
8610.61784375 |
transcript.pyannote[1151].end |
8613.31784375 |
transcript.pyannote[1152].speaker |
SPEAKER_03 |
transcript.pyannote[1152].start |
8615.41034375 |
transcript.pyannote[1152].end |
8616.20346875 |
transcript.pyannote[1153].speaker |
SPEAKER_03 |
transcript.pyannote[1153].start |
8617.46909375 |
transcript.pyannote[1153].end |
8621.21534375 |
transcript.pyannote[1154].speaker |
SPEAKER_03 |
transcript.pyannote[1154].start |
8621.73846875 |
transcript.pyannote[1154].end |
8625.85596875 |
transcript.pyannote[1155].speaker |
SPEAKER_03 |
transcript.pyannote[1155].start |
8626.22721875 |
transcript.pyannote[1155].end |
8631.77909375 |
transcript.pyannote[1156].speaker |
SPEAKER_03 |
transcript.pyannote[1156].start |
8632.90971875 |
transcript.pyannote[1156].end |
8634.44534375 |
transcript.pyannote[1157].speaker |
SPEAKER_03 |
transcript.pyannote[1157].start |
8636.14971875 |
transcript.pyannote[1157].end |
8638.39409375 |
transcript.pyannote[1158].speaker |
SPEAKER_03 |
transcript.pyannote[1158].start |
8638.61346875 |
transcript.pyannote[1158].end |
8648.78909375 |
transcript.pyannote[1159].speaker |
SPEAKER_03 |
transcript.pyannote[1159].start |
8650.15596875 |
transcript.pyannote[1159].end |
8654.13846875 |
transcript.pyannote[1160].speaker |
SPEAKER_03 |
transcript.pyannote[1160].start |
8654.34096875 |
transcript.pyannote[1160].end |
8655.08346875 |
transcript.pyannote[1161].speaker |
SPEAKER_03 |
transcript.pyannote[1161].start |
8655.82596875 |
transcript.pyannote[1161].end |
8656.53471875 |
transcript.pyannote[1162].speaker |
SPEAKER_03 |
transcript.pyannote[1162].start |
8657.36159375 |
transcript.pyannote[1162].end |
8660.44971875 |
transcript.pyannote[1163].speaker |
SPEAKER_03 |
transcript.pyannote[1163].start |
8661.90096875 |
transcript.pyannote[1163].end |
8682.58971875 |
transcript.pyannote[1164].speaker |
SPEAKER_03 |
transcript.pyannote[1164].start |
8683.24784375 |
transcript.pyannote[1164].end |
8707.12596875 |
transcript.pyannote[1165].speaker |
SPEAKER_00 |
transcript.pyannote[1165].start |
8698.41846875 |
transcript.pyannote[1165].end |
8698.53659375 |
transcript.pyannote[1166].speaker |
SPEAKER_03 |
transcript.pyannote[1166].start |
8707.31159375 |
transcript.pyannote[1166].end |
8714.29784375 |
transcript.pyannote[1167].speaker |
SPEAKER_03 |
transcript.pyannote[1167].start |
8715.54659375 |
transcript.pyannote[1167].end |
8715.90096875 |
transcript.pyannote[1168].speaker |
SPEAKER_03 |
transcript.pyannote[1168].start |
8716.82909375 |
transcript.pyannote[1168].end |
8718.24659375 |
transcript.pyannote[1169].speaker |
SPEAKER_03 |
transcript.pyannote[1169].start |
8722.88721875 |
transcript.pyannote[1169].end |
8733.36659375 |
transcript.pyannote[1170].speaker |
SPEAKER_03 |
transcript.pyannote[1170].start |
8733.77159375 |
transcript.pyannote[1170].end |
8751.35534375 |
transcript.pyannote[1171].speaker |
SPEAKER_03 |
transcript.pyannote[1171].start |
8752.01346875 |
transcript.pyannote[1171].end |
8768.85471875 |
transcript.pyannote[1172].speaker |
SPEAKER_03 |
transcript.pyannote[1172].start |
8768.87159375 |
transcript.pyannote[1172].end |
8768.88846875 |
transcript.pyannote[1173].speaker |
SPEAKER_03 |
transcript.pyannote[1173].start |
8768.90534375 |
transcript.pyannote[1173].end |
8771.95971875 |
transcript.pyannote[1174].speaker |
SPEAKER_03 |
transcript.pyannote[1174].start |
8772.51659375 |
transcript.pyannote[1174].end |
8772.85409375 |
transcript.pyannote[1175].speaker |
SPEAKER_03 |
transcript.pyannote[1175].start |
8773.78221875 |
transcript.pyannote[1175].end |
8774.57534375 |
transcript.pyannote[1176].speaker |
SPEAKER_03 |
transcript.pyannote[1176].start |
8774.87909375 |
transcript.pyannote[1176].end |
8775.21659375 |
transcript.pyannote[1177].speaker |
SPEAKER_03 |
transcript.pyannote[1177].start |
8776.66784375 |
transcript.pyannote[1177].end |
8777.74784375 |
transcript.pyannote[1178].speaker |
SPEAKER_03 |
transcript.pyannote[1178].start |
8778.28784375 |
transcript.pyannote[1178].end |
8779.51971875 |
transcript.pyannote[1179].speaker |
SPEAKER_03 |
transcript.pyannote[1179].start |
8779.89096875 |
transcript.pyannote[1179].end |
8781.25784375 |
transcript.pyannote[1180].speaker |
SPEAKER_03 |
transcript.pyannote[1180].start |
8782.60784375 |
transcript.pyannote[1180].end |
8785.15596875 |
transcript.pyannote[1181].speaker |
SPEAKER_03 |
transcript.pyannote[1181].start |
8787.24846875 |
transcript.pyannote[1181].end |
8792.27721875 |
transcript.pyannote[1182].speaker |
SPEAKER_03 |
transcript.pyannote[1182].start |
8793.22221875 |
transcript.pyannote[1182].end |
8798.03159375 |
transcript.pyannote[1183].speaker |
SPEAKER_03 |
transcript.pyannote[1183].start |
8799.02721875 |
transcript.pyannote[1183].end |
8802.26721875 |
transcript.pyannote[1184].speaker |
SPEAKER_03 |
transcript.pyannote[1184].start |
8802.63846875 |
transcript.pyannote[1184].end |
8803.90409375 |
transcript.pyannote[1185].speaker |
SPEAKER_03 |
transcript.pyannote[1185].start |
8805.62534375 |
transcript.pyannote[1185].end |
8807.51534375 |
transcript.pyannote[1186].speaker |
SPEAKER_03 |
transcript.pyannote[1186].start |
8808.13971875 |
transcript.pyannote[1186].end |
8816.59409375 |
transcript.pyannote[1187].speaker |
SPEAKER_03 |
transcript.pyannote[1187].start |
8820.79596875 |
transcript.pyannote[1187].end |
8830.66784375 |
transcript.pyannote[1188].speaker |
SPEAKER_03 |
transcript.pyannote[1188].start |
8831.95034375 |
transcript.pyannote[1188].end |
8833.09784375 |
transcript.pyannote[1189].speaker |
SPEAKER_03 |
transcript.pyannote[1189].start |
8834.07659375 |
transcript.pyannote[1189].end |
8834.56596875 |
transcript.pyannote[1190].speaker |
SPEAKER_03 |
transcript.pyannote[1190].start |
8834.97096875 |
transcript.pyannote[1190].end |
8836.52346875 |
transcript.pyannote[1191].speaker |
SPEAKER_03 |
transcript.pyannote[1191].start |
8836.82721875 |
transcript.pyannote[1191].end |
8838.51471875 |
transcript.pyannote[1192].speaker |
SPEAKER_03 |
transcript.pyannote[1192].start |
8842.26096875 |
transcript.pyannote[1192].end |
8843.45909375 |
transcript.pyannote[1193].speaker |
SPEAKER_03 |
transcript.pyannote[1193].start |
8851.10346875 |
transcript.pyannote[1193].end |
8857.83659375 |
transcript.pyannote[1194].speaker |
SPEAKER_10 |
transcript.pyannote[1194].start |
8854.20846875 |
transcript.pyannote[1194].end |
8854.86659375 |
transcript.pyannote[1195].speaker |
SPEAKER_10 |
transcript.pyannote[1195].start |
8857.98846875 |
transcript.pyannote[1195].end |
8858.27534375 |
transcript.pyannote[1196].speaker |
SPEAKER_10 |
transcript.pyannote[1196].start |
8858.51159375 |
transcript.pyannote[1196].end |
8861.83596875 |
transcript.pyannote[1197].speaker |
SPEAKER_10 |
transcript.pyannote[1197].start |
8862.54471875 |
transcript.pyannote[1197].end |
8865.10971875 |
transcript.pyannote[1198].speaker |
SPEAKER_10 |
transcript.pyannote[1198].start |
8865.66659375 |
transcript.pyannote[1198].end |
8869.26096875 |
transcript.pyannote[1199].speaker |
SPEAKER_03 |
transcript.pyannote[1199].start |
8869.26096875 |
transcript.pyannote[1199].end |
8879.75721875 |
transcript.pyannote[1200].speaker |
SPEAKER_10 |
transcript.pyannote[1200].start |
8879.25096875 |
transcript.pyannote[1200].end |
8881.93409375 |
transcript.pyannote[1201].speaker |
SPEAKER_03 |
transcript.pyannote[1201].start |
8882.35596875 |
transcript.pyannote[1201].end |
8884.51596875 |
transcript.pyannote[1202].speaker |
SPEAKER_03 |
transcript.pyannote[1202].start |
8886.15284375 |
transcript.pyannote[1202].end |
8888.17784375 |
transcript.pyannote[1203].speaker |
SPEAKER_03 |
transcript.pyannote[1203].start |
8890.03409375 |
transcript.pyannote[1203].end |
8897.00346875 |
transcript.pyannote[1204].speaker |
SPEAKER_11 |
transcript.pyannote[1204].start |
8891.82284375 |
transcript.pyannote[1204].end |
8891.94096875 |
transcript.pyannote[1205].speaker |
SPEAKER_11 |
transcript.pyannote[1205].start |
8891.95784375 |
transcript.pyannote[1205].end |
8891.97471875 |
transcript.pyannote[1206].speaker |
SPEAKER_11 |
transcript.pyannote[1206].start |
8897.42534375 |
transcript.pyannote[1206].end |
8909.72721875 |
transcript.pyannote[1207].speaker |
SPEAKER_03 |
transcript.pyannote[1207].start |
8908.84971875 |
transcript.pyannote[1207].end |
8912.19096875 |
transcript.pyannote[1208].speaker |
SPEAKER_11 |
transcript.pyannote[1208].start |
8912.19096875 |
transcript.pyannote[1208].end |
8912.69721875 |
transcript.pyannote[1209].speaker |
SPEAKER_03 |
transcript.pyannote[1209].start |
8913.96284375 |
transcript.pyannote[1209].end |
8918.48534375 |
transcript.pyannote[1210].speaker |
SPEAKER_03 |
transcript.pyannote[1210].start |
8918.97471875 |
transcript.pyannote[1210].end |
8921.18534375 |
transcript.pyannote[1211].speaker |
SPEAKER_03 |
transcript.pyannote[1211].start |
8922.31596875 |
transcript.pyannote[1211].end |
8940.72659375 |
transcript.pyannote[1212].speaker |
SPEAKER_00 |
transcript.pyannote[1212].start |
8933.55471875 |
transcript.pyannote[1212].end |
8933.87534375 |
transcript.pyannote[1213].speaker |
SPEAKER_03 |
transcript.pyannote[1213].start |
8940.89534375 |
transcript.pyannote[1213].end |
8941.03034375 |
transcript.pyannote[1214].speaker |
SPEAKER_03 |
transcript.pyannote[1214].start |
8941.68846875 |
transcript.pyannote[1214].end |
8954.59784375 |
transcript.pyannote[1215].speaker |
SPEAKER_03 |
transcript.pyannote[1215].start |
8959.17096875 |
transcript.pyannote[1215].end |
8959.66034375 |
transcript.pyannote[1216].speaker |
SPEAKER_11 |
transcript.pyannote[1216].start |
8961.76971875 |
transcript.pyannote[1216].end |
8964.60471875 |
transcript.pyannote[1217].speaker |
SPEAKER_11 |
transcript.pyannote[1217].start |
8964.84096875 |
transcript.pyannote[1217].end |
8970.03846875 |
transcript.pyannote[1218].speaker |
SPEAKER_03 |
transcript.pyannote[1218].start |
8970.79784375 |
transcript.pyannote[1218].end |
8971.52346875 |
transcript.pyannote[1219].speaker |
SPEAKER_03 |
transcript.pyannote[1219].start |
8972.43471875 |
transcript.pyannote[1219].end |
8973.70034375 |
transcript.pyannote[1220].speaker |
SPEAKER_11 |
transcript.pyannote[1220].start |
8973.70034375 |
transcript.pyannote[1220].end |
8976.97409375 |
transcript.pyannote[1221].speaker |
SPEAKER_10 |
transcript.pyannote[1221].start |
8976.97409375 |
transcript.pyannote[1221].end |
8978.83034375 |
transcript.pyannote[1222].speaker |
SPEAKER_11 |
transcript.pyannote[1222].start |
8978.83034375 |
transcript.pyannote[1222].end |
8978.84721875 |
transcript.pyannote[1223].speaker |
SPEAKER_03 |
transcript.pyannote[1223].start |
8979.77534375 |
transcript.pyannote[1223].end |
8981.14221875 |
transcript.pyannote[1224].speaker |
SPEAKER_03 |
transcript.pyannote[1224].start |
8982.05346875 |
transcript.pyannote[1224].end |
8985.61409375 |
transcript.pyannote[1225].speaker |
SPEAKER_03 |
transcript.pyannote[1225].start |
8986.57596875 |
transcript.pyannote[1225].end |
8992.11096875 |
transcript.pyannote[1226].speaker |
SPEAKER_03 |
transcript.pyannote[1226].start |
8994.45659375 |
transcript.pyannote[1226].end |
8995.84034375 |
transcript.pyannote[1227].speaker |
SPEAKER_03 |
transcript.pyannote[1227].start |
8998.37159375 |
transcript.pyannote[1227].end |
8999.77221875 |
transcript.pyannote[1228].speaker |
SPEAKER_03 |
transcript.pyannote[1228].start |
9002.32034375 |
transcript.pyannote[1228].end |
9005.74596875 |
transcript.pyannote[1229].speaker |
SPEAKER_03 |
transcript.pyannote[1229].start |
9006.64034375 |
transcript.pyannote[1229].end |
9007.31534375 |
transcript.pyannote[1230].speaker |
SPEAKER_03 |
transcript.pyannote[1230].start |
9008.81721875 |
transcript.pyannote[1230].end |
9013.84596875 |
transcript.pyannote[1231].speaker |
SPEAKER_03 |
transcript.pyannote[1231].start |
9014.97659375 |
transcript.pyannote[1231].end |
9015.82034375 |
transcript.pyannote[1232].speaker |
SPEAKER_03 |
transcript.pyannote[1232].start |
9017.37284375 |
transcript.pyannote[1232].end |
9022.80659375 |
transcript.pyannote[1233].speaker |
SPEAKER_03 |
transcript.pyannote[1233].start |
9023.34659375 |
transcript.pyannote[1233].end |
9025.33784375 |
transcript.pyannote[1234].speaker |
SPEAKER_03 |
transcript.pyannote[1234].start |
9026.46846875 |
transcript.pyannote[1234].end |
9035.15909375 |
transcript.pyannote[1235].speaker |
SPEAKER_03 |
transcript.pyannote[1235].start |
9035.58096875 |
transcript.pyannote[1235].end |
9044.84534375 |
transcript.pyannote[1236].speaker |
SPEAKER_03 |
transcript.pyannote[1236].start |
9045.33471875 |
transcript.pyannote[1236].end |
9054.75096875 |
transcript.pyannote[1237].speaker |
SPEAKER_03 |
transcript.pyannote[1237].start |
9055.93221875 |
transcript.pyannote[1237].end |
9058.69971875 |
transcript.pyannote[1238].speaker |
SPEAKER_03 |
transcript.pyannote[1238].start |
9059.61096875 |
transcript.pyannote[1238].end |
9062.22659375 |
transcript.pyannote[1239].speaker |
SPEAKER_03 |
transcript.pyannote[1239].start |
9063.01971875 |
transcript.pyannote[1239].end |
9071.47409375 |
transcript.pyannote[1240].speaker |
SPEAKER_03 |
transcript.pyannote[1240].start |
9073.53284375 |
transcript.pyannote[1240].end |
9080.36721875 |
transcript.pyannote[1241].speaker |
SPEAKER_03 |
transcript.pyannote[1241].start |
9082.96596875 |
transcript.pyannote[1241].end |
9083.38784375 |
transcript.pyannote[1242].speaker |
SPEAKER_03 |
transcript.pyannote[1242].start |
9085.02471875 |
transcript.pyannote[1242].end |
9088.56846875 |
transcript.pyannote[1243].speaker |
SPEAKER_03 |
transcript.pyannote[1243].start |
9088.75409375 |
transcript.pyannote[1243].end |
9091.67346875 |
transcript.pyannote[1244].speaker |
SPEAKER_03 |
transcript.pyannote[1244].start |
9093.00659375 |
transcript.pyannote[1244].end |
9095.58846875 |
transcript.pyannote[1245].speaker |
SPEAKER_03 |
transcript.pyannote[1245].start |
9097.68096875 |
transcript.pyannote[1245].end |
9099.67221875 |
transcript.pyannote[1246].speaker |
SPEAKER_03 |
transcript.pyannote[1246].start |
9102.81096875 |
transcript.pyannote[1246].end |
9104.39721875 |
transcript.pyannote[1247].speaker |
SPEAKER_03 |
transcript.pyannote[1247].start |
9104.78534375 |
transcript.pyannote[1247].end |
9107.28284375 |
transcript.pyannote[1248].speaker |
SPEAKER_03 |
transcript.pyannote[1248].start |
9109.07159375 |
transcript.pyannote[1248].end |
9118.43721875 |
transcript.pyannote[1249].speaker |
SPEAKER_03 |
transcript.pyannote[1249].start |
9118.97721875 |
transcript.pyannote[1249].end |
9124.79909375 |
transcript.pyannote[1250].speaker |
SPEAKER_03 |
transcript.pyannote[1250].start |
9125.18721875 |
transcript.pyannote[1250].end |
9130.09784375 |
transcript.pyannote[1251].speaker |
SPEAKER_03 |
transcript.pyannote[1251].start |
9132.42659375 |
transcript.pyannote[1251].end |
9141.25221875 |
transcript.pyannote[1252].speaker |
SPEAKER_03 |
transcript.pyannote[1252].start |
9143.83409375 |
transcript.pyannote[1252].end |
9145.13346875 |
transcript.pyannote[1253].speaker |
SPEAKER_03 |
transcript.pyannote[1253].start |
9146.43284375 |
transcript.pyannote[1253].end |
9147.59721875 |
transcript.pyannote[1254].speaker |
SPEAKER_03 |
transcript.pyannote[1254].start |
9148.27221875 |
transcript.pyannote[1254].end |
9150.31409375 |
transcript.pyannote[1255].speaker |
SPEAKER_03 |
transcript.pyannote[1255].start |
9151.73159375 |
transcript.pyannote[1255].end |
9151.93409375 |
transcript.pyannote[1256].speaker |
SPEAKER_03 |
transcript.pyannote[1256].start |
9154.19534375 |
transcript.pyannote[1256].end |
9154.53284375 |
transcript.pyannote[1257].speaker |
SPEAKER_03 |
transcript.pyannote[1257].start |
9154.76909375 |
transcript.pyannote[1257].end |
9159.98346875 |
transcript.pyannote[1258].speaker |
SPEAKER_03 |
transcript.pyannote[1258].start |
9160.35471875 |
transcript.pyannote[1258].end |
9165.28221875 |
transcript.pyannote[1259].speaker |
SPEAKER_03 |
transcript.pyannote[1259].start |
9176.04846875 |
transcript.pyannote[1259].end |
9177.33096875 |
transcript.pyannote[1260].speaker |
SPEAKER_03 |
transcript.pyannote[1260].start |
9181.78596875 |
transcript.pyannote[1260].end |
9182.88284375 |
transcript.pyannote[1261].speaker |
SPEAKER_03 |
transcript.pyannote[1261].start |
9185.02596875 |
transcript.pyannote[1261].end |
9187.67534375 |
transcript.pyannote[1262].speaker |
SPEAKER_03 |
transcript.pyannote[1262].start |
9188.53596875 |
transcript.pyannote[1262].end |
9192.21471875 |
transcript.pyannote[1263].speaker |
SPEAKER_03 |
transcript.pyannote[1263].start |
9194.30721875 |
transcript.pyannote[1263].end |
9195.03284375 |
transcript.pyannote[1264].speaker |
SPEAKER_03 |
transcript.pyannote[1264].start |
9195.37034375 |
transcript.pyannote[1264].end |
9196.55159375 |
transcript.pyannote[1265].speaker |
SPEAKER_03 |
transcript.pyannote[1265].start |
9198.67784375 |
transcript.pyannote[1265].end |
9201.29346875 |
transcript.pyannote[1266].speaker |
SPEAKER_03 |
transcript.pyannote[1266].start |
9201.91784375 |
transcript.pyannote[1266].end |
9207.97596875 |
transcript.pyannote[1267].speaker |
SPEAKER_03 |
transcript.pyannote[1267].start |
9209.03909375 |
transcript.pyannote[1267].end |
9215.46846875 |
transcript.pyannote[1268].speaker |
SPEAKER_03 |
transcript.pyannote[1268].start |
9216.24471875 |
transcript.pyannote[1268].end |
9217.13909375 |
transcript.pyannote[1269].speaker |
SPEAKER_03 |
transcript.pyannote[1269].start |
9218.18534375 |
transcript.pyannote[1269].end |
9220.49721875 |
transcript.pyannote[1270].speaker |
SPEAKER_03 |
transcript.pyannote[1270].start |
9222.31971875 |
transcript.pyannote[1270].end |
9223.07909375 |
transcript.pyannote[1271].speaker |
SPEAKER_03 |
transcript.pyannote[1271].start |
9223.87221875 |
transcript.pyannote[1271].end |
9224.56409375 |
transcript.pyannote[1272].speaker |
SPEAKER_03 |
transcript.pyannote[1272].start |
9226.67346875 |
transcript.pyannote[1272].end |
9228.46221875 |
transcript.pyannote[1273].speaker |
SPEAKER_03 |
transcript.pyannote[1273].start |
9229.52534375 |
transcript.pyannote[1273].end |
9229.99784375 |
transcript.pyannote[1274].speaker |
SPEAKER_03 |
transcript.pyannote[1274].start |
9231.11159375 |
transcript.pyannote[1274].end |
9235.06034375 |
transcript.pyannote[1275].speaker |
SPEAKER_03 |
transcript.pyannote[1275].start |
9236.44409375 |
transcript.pyannote[1275].end |
9239.85284375 |
transcript.pyannote[1276].speaker |
SPEAKER_03 |
transcript.pyannote[1276].start |
9240.61221875 |
transcript.pyannote[1276].end |
9241.08471875 |
transcript.pyannote[1277].speaker |
SPEAKER_03 |
transcript.pyannote[1277].start |
9242.53596875 |
transcript.pyannote[1277].end |
9245.60721875 |
transcript.pyannote[1278].speaker |
SPEAKER_03 |
transcript.pyannote[1278].start |
9247.39596875 |
transcript.pyannote[1278].end |
9248.72909375 |
transcript.pyannote[1279].speaker |
SPEAKER_03 |
transcript.pyannote[1279].start |
9254.50034375 |
transcript.pyannote[1279].end |
9255.54659375 |
transcript.pyannote[1280].speaker |
SPEAKER_03 |
transcript.pyannote[1280].start |
9259.41096875 |
transcript.pyannote[1280].end |
9259.83284375 |
transcript.pyannote[1281].speaker |
SPEAKER_03 |
transcript.pyannote[1281].start |
9264.15284375 |
transcript.pyannote[1281].end |
9264.54096875 |
transcript.pyannote[1282].speaker |
SPEAKER_03 |
transcript.pyannote[1282].start |
9264.82784375 |
transcript.pyannote[1282].end |
9266.02596875 |
transcript.pyannote[1283].speaker |
SPEAKER_03 |
transcript.pyannote[1283].start |
9266.88659375 |
transcript.pyannote[1283].end |
9272.97846875 |
transcript.pyannote[1284].speaker |
SPEAKER_03 |
transcript.pyannote[1284].start |
9274.34534375 |
transcript.pyannote[1284].end |
9277.87221875 |
transcript.pyannote[1285].speaker |
SPEAKER_03 |
transcript.pyannote[1285].start |
9278.46284375 |
transcript.pyannote[1285].end |
9279.57659375 |
transcript.pyannote[1286].speaker |
SPEAKER_03 |
transcript.pyannote[1286].start |
9282.02346875 |
transcript.pyannote[1286].end |
9288.95909375 |
transcript.pyannote[1287].speaker |
SPEAKER_03 |
transcript.pyannote[1287].start |
9290.24159375 |
transcript.pyannote[1287].end |
9290.57909375 |
transcript.pyannote[1288].speaker |
SPEAKER_03 |
transcript.pyannote[1288].start |
9291.92909375 |
transcript.pyannote[1288].end |
9294.47721875 |
transcript.pyannote[1289].speaker |
SPEAKER_03 |
transcript.pyannote[1289].start |
9296.06346875 |
transcript.pyannote[1289].end |
9297.26159375 |
transcript.pyannote[1290].speaker |
SPEAKER_03 |
transcript.pyannote[1290].start |
9297.83534375 |
transcript.pyannote[1290].end |
9298.30784375 |
transcript.pyannote[1291].speaker |
SPEAKER_03 |
transcript.pyannote[1291].start |
9298.81409375 |
transcript.pyannote[1291].end |
9300.34971875 |
transcript.pyannote[1292].speaker |
SPEAKER_03 |
transcript.pyannote[1292].start |
9303.65721875 |
transcript.pyannote[1292].end |
9304.87221875 |
transcript.pyannote[1293].speaker |
SPEAKER_03 |
transcript.pyannote[1293].start |
9305.81721875 |
transcript.pyannote[1293].end |
9306.84659375 |
transcript.pyannote[1294].speaker |
SPEAKER_03 |
transcript.pyannote[1294].start |
9307.18409375 |
transcript.pyannote[1294].end |
9310.72784375 |
transcript.pyannote[1295].speaker |
SPEAKER_03 |
transcript.pyannote[1295].start |
9311.53784375 |
transcript.pyannote[1295].end |
9316.36409375 |
transcript.pyannote[1296].speaker |
SPEAKER_03 |
transcript.pyannote[1296].start |
9316.48221875 |
transcript.pyannote[1296].end |
9320.48159375 |
transcript.pyannote[1297].speaker |
SPEAKER_03 |
transcript.pyannote[1297].start |
9320.54909375 |
transcript.pyannote[1297].end |
9324.00846875 |
transcript.pyannote[1298].speaker |
SPEAKER_03 |
transcript.pyannote[1298].start |
9324.27846875 |
transcript.pyannote[1298].end |
9328.61534375 |
transcript.pyannote[1299].speaker |
SPEAKER_03 |
transcript.pyannote[1299].start |
9329.47596875 |
transcript.pyannote[1299].end |
9330.69096875 |
transcript.pyannote[1300].speaker |
SPEAKER_03 |
transcript.pyannote[1300].start |
9331.78784375 |
transcript.pyannote[1300].end |
9355.02471875 |
transcript.pyannote[1301].speaker |
SPEAKER_03 |
transcript.pyannote[1301].start |
9355.63221875 |
transcript.pyannote[1301].end |
9364.10346875 |
transcript.pyannote[1302].speaker |
SPEAKER_03 |
transcript.pyannote[1302].start |
9365.06534375 |
transcript.pyannote[1302].end |
9366.44909375 |
transcript.pyannote[1303].speaker |
SPEAKER_03 |
transcript.pyannote[1303].start |
9367.05659375 |
transcript.pyannote[1303].end |
9371.35971875 |
transcript.pyannote[1304].speaker |
SPEAKER_03 |
transcript.pyannote[1304].start |
9372.23721875 |
transcript.pyannote[1304].end |
9375.39284375 |
transcript.pyannote[1305].speaker |
SPEAKER_03 |
transcript.pyannote[1305].start |
9376.35471875 |
transcript.pyannote[1305].end |
9376.97909375 |
transcript.pyannote[1306].speaker |
SPEAKER_03 |
transcript.pyannote[1306].start |
9377.53596875 |
transcript.pyannote[1306].end |
9378.02534375 |
transcript.pyannote[1307].speaker |
SPEAKER_03 |
transcript.pyannote[1307].start |
9378.75096875 |
transcript.pyannote[1307].end |
9380.03346875 |
transcript.pyannote[1308].speaker |
SPEAKER_03 |
transcript.pyannote[1308].start |
9382.04159375 |
transcript.pyannote[1308].end |
9383.12159375 |
transcript.pyannote[1309].speaker |
SPEAKER_03 |
transcript.pyannote[1309].start |
9384.75846875 |
transcript.pyannote[1309].end |
9385.83846875 |
transcript.pyannote[1310].speaker |
SPEAKER_03 |
transcript.pyannote[1310].start |
9387.93096875 |
transcript.pyannote[1310].end |
9389.68596875 |
transcript.pyannote[1311].speaker |
SPEAKER_03 |
transcript.pyannote[1311].start |
9390.98534375 |
transcript.pyannote[1311].end |
9392.04846875 |
transcript.pyannote[1312].speaker |
SPEAKER_03 |
transcript.pyannote[1312].start |
9392.20034375 |
transcript.pyannote[1312].end |
9393.36471875 |
transcript.pyannote[1313].speaker |
SPEAKER_03 |
transcript.pyannote[1313].start |
9394.86659375 |
transcript.pyannote[1313].end |
9397.46534375 |
transcript.pyannote[1314].speaker |
SPEAKER_03 |
transcript.pyannote[1314].start |
9399.37221875 |
transcript.pyannote[1314].end |
9399.72659375 |
transcript.pyannote[1315].speaker |
SPEAKER_03 |
transcript.pyannote[1315].start |
9400.24971875 |
transcript.pyannote[1315].end |
9406.32471875 |
transcript.pyannote[1316].speaker |
SPEAKER_03 |
transcript.pyannote[1316].start |
9406.66221875 |
transcript.pyannote[1316].end |
9411.21846875 |
transcript.pyannote[1317].speaker |
SPEAKER_03 |
transcript.pyannote[1317].start |
9411.52221875 |
transcript.pyannote[1317].end |
9412.39971875 |
transcript.pyannote[1318].speaker |
SPEAKER_03 |
transcript.pyannote[1318].start |
9413.31096875 |
transcript.pyannote[1318].end |
9416.28096875 |
transcript.pyannote[1319].speaker |
SPEAKER_03 |
transcript.pyannote[1319].start |
9417.46221875 |
transcript.pyannote[1319].end |
9420.44909375 |
transcript.pyannote[1320].speaker |
SPEAKER_03 |
transcript.pyannote[1320].start |
9421.56284375 |
transcript.pyannote[1320].end |
9425.98409375 |
transcript.pyannote[1321].speaker |
SPEAKER_03 |
transcript.pyannote[1321].start |
9426.52409375 |
transcript.pyannote[1321].end |
9443.87159375 |
transcript.pyannote[1322].speaker |
SPEAKER_03 |
transcript.pyannote[1322].start |
9444.47909375 |
transcript.pyannote[1322].end |
9445.20471875 |
transcript.pyannote[1323].speaker |
SPEAKER_03 |
transcript.pyannote[1323].start |
9445.35659375 |
transcript.pyannote[1323].end |
9451.02659375 |
transcript.pyannote[1324].speaker |
SPEAKER_03 |
transcript.pyannote[1324].start |
9451.34721875 |
transcript.pyannote[1324].end |
9452.69721875 |
transcript.pyannote[1325].speaker |
SPEAKER_03 |
transcript.pyannote[1325].start |
9453.54096875 |
transcript.pyannote[1325].end |
9456.51096875 |
transcript.pyannote[1326].speaker |
SPEAKER_03 |
transcript.pyannote[1326].start |
9457.59096875 |
transcript.pyannote[1326].end |
9483.03846875 |
transcript.pyannote[1327].speaker |
SPEAKER_03 |
transcript.pyannote[1327].start |
9483.19034375 |
transcript.pyannote[1327].end |
9485.02971875 |
transcript.pyannote[1328].speaker |
SPEAKER_03 |
transcript.pyannote[1328].start |
9487.64534375 |
transcript.pyannote[1328].end |
9488.38784375 |
transcript.pyannote[1329].speaker |
SPEAKER_03 |
transcript.pyannote[1329].start |
9489.09659375 |
transcript.pyannote[1329].end |
9491.74596875 |
transcript.pyannote[1330].speaker |
SPEAKER_03 |
transcript.pyannote[1330].start |
9492.82596875 |
transcript.pyannote[1330].end |
9496.85909375 |
transcript.pyannote[1331].speaker |
SPEAKER_03 |
transcript.pyannote[1331].start |
9497.24721875 |
transcript.pyannote[1331].end |
9498.02346875 |
transcript.pyannote[1332].speaker |
SPEAKER_03 |
transcript.pyannote[1332].start |
9498.31034375 |
transcript.pyannote[1332].end |
9502.37721875 |
transcript.pyannote[1333].speaker |
SPEAKER_03 |
transcript.pyannote[1333].start |
9504.95909375 |
transcript.pyannote[1333].end |
9506.78159375 |
transcript.pyannote[1334].speaker |
SPEAKER_03 |
transcript.pyannote[1334].start |
9507.37221875 |
transcript.pyannote[1334].end |
9507.76034375 |
transcript.pyannote[1335].speaker |
SPEAKER_03 |
transcript.pyannote[1335].start |
9508.04721875 |
transcript.pyannote[1335].end |
9514.62846875 |
transcript.pyannote[1336].speaker |
SPEAKER_03 |
transcript.pyannote[1336].start |
9515.08409375 |
transcript.pyannote[1336].end |
9517.90221875 |
transcript.pyannote[1337].speaker |
SPEAKER_03 |
transcript.pyannote[1337].start |
9519.47159375 |
transcript.pyannote[1337].end |
9521.73284375 |
transcript.pyannote[1338].speaker |
SPEAKER_03 |
transcript.pyannote[1338].start |
9522.17159375 |
transcript.pyannote[1338].end |
9528.17909375 |
transcript.pyannote[1339].speaker |
SPEAKER_03 |
transcript.pyannote[1339].start |
9529.96784375 |
transcript.pyannote[1339].end |
9532.75221875 |
transcript.pyannote[1340].speaker |
SPEAKER_03 |
transcript.pyannote[1340].start |
9533.39346875 |
transcript.pyannote[1340].end |
9538.60784375 |
transcript.pyannote[1341].speaker |
SPEAKER_03 |
transcript.pyannote[1341].start |
9540.37971875 |
transcript.pyannote[1341].end |
9548.02409375 |
transcript.pyannote[1342].speaker |
SPEAKER_03 |
transcript.pyannote[1342].start |
9549.08721875 |
transcript.pyannote[1342].end |
9555.28034375 |
transcript.pyannote[1343].speaker |
SPEAKER_03 |
transcript.pyannote[1343].start |
9556.49534375 |
transcript.pyannote[1343].end |
9558.36846875 |
transcript.pyannote[1344].speaker |
SPEAKER_03 |
transcript.pyannote[1344].start |
9561.00096875 |
transcript.pyannote[1344].end |
9561.79409375 |
transcript.pyannote[1345].speaker |
SPEAKER_03 |
transcript.pyannote[1345].start |
9562.40159375 |
transcript.pyannote[1345].end |
9573.64034375 |
transcript.pyannote[1346].speaker |
SPEAKER_03 |
transcript.pyannote[1346].start |
9576.79596875 |
transcript.pyannote[1346].end |
9580.03596875 |
transcript.pyannote[1347].speaker |
SPEAKER_03 |
transcript.pyannote[1347].start |
9580.66034375 |
transcript.pyannote[1347].end |
9583.42784375 |
transcript.pyannote[1348].speaker |
SPEAKER_03 |
transcript.pyannote[1348].start |
9584.59221875 |
transcript.pyannote[1348].end |
9601.31534375 |
transcript.pyannote[1349].speaker |
SPEAKER_03 |
transcript.pyannote[1349].start |
9601.77096875 |
transcript.pyannote[1349].end |
9605.26409375 |
transcript.pyannote[1350].speaker |
SPEAKER_03 |
transcript.pyannote[1350].start |
9605.85471875 |
transcript.pyannote[1350].end |
9607.57596875 |
transcript.pyannote[1351].speaker |
SPEAKER_03 |
transcript.pyannote[1351].start |
9608.20034375 |
transcript.pyannote[1351].end |
9610.96784375 |
transcript.pyannote[1352].speaker |
SPEAKER_03 |
transcript.pyannote[1352].start |
9611.91284375 |
transcript.pyannote[1352].end |
9613.66784375 |
transcript.pyannote[1353].speaker |
SPEAKER_03 |
transcript.pyannote[1353].start |
9614.14034375 |
transcript.pyannote[1353].end |
9619.67534375 |
transcript.pyannote[1354].speaker |
SPEAKER_03 |
transcript.pyannote[1354].start |
9620.67096875 |
transcript.pyannote[1354].end |
9630.45846875 |
transcript.pyannote[1355].speaker |
SPEAKER_03 |
transcript.pyannote[1355].start |
9631.16721875 |
transcript.pyannote[1355].end |
9634.66034375 |
transcript.pyannote[1356].speaker |
SPEAKER_03 |
transcript.pyannote[1356].start |
9634.72784375 |
transcript.pyannote[1356].end |
9646.94534375 |
transcript.pyannote[1357].speaker |
SPEAKER_03 |
transcript.pyannote[1357].start |
9647.41784375 |
transcript.pyannote[1357].end |
9648.56534375 |
transcript.pyannote[1358].speaker |
SPEAKER_03 |
transcript.pyannote[1358].start |
9649.30784375 |
transcript.pyannote[1358].end |
9650.28659375 |
transcript.pyannote[1359].speaker |
SPEAKER_03 |
transcript.pyannote[1359].start |
9651.68721875 |
transcript.pyannote[1359].end |
9658.89284375 |
transcript.pyannote[1360].speaker |
SPEAKER_03 |
transcript.pyannote[1360].start |
9659.65221875 |
transcript.pyannote[1360].end |
9662.43659375 |
transcript.pyannote[1361].speaker |
SPEAKER_03 |
transcript.pyannote[1361].start |
9662.94284375 |
transcript.pyannote[1361].end |
9665.99721875 |
transcript.pyannote[1362].speaker |
SPEAKER_03 |
transcript.pyannote[1362].start |
9667.26284375 |
transcript.pyannote[1362].end |
9668.57909375 |
transcript.pyannote[1363].speaker |
SPEAKER_03 |
transcript.pyannote[1363].start |
9668.95034375 |
transcript.pyannote[1363].end |
9675.17721875 |
transcript.pyannote[1364].speaker |
SPEAKER_03 |
transcript.pyannote[1364].start |
9676.20659375 |
transcript.pyannote[1364].end |
9680.69534375 |
transcript.pyannote[1365].speaker |
SPEAKER_03 |
transcript.pyannote[1365].start |
9681.82596875 |
transcript.pyannote[1365].end |
9683.47971875 |
transcript.pyannote[1366].speaker |
SPEAKER_03 |
transcript.pyannote[1366].start |
9685.30221875 |
transcript.pyannote[1366].end |
9686.04471875 |
transcript.pyannote[1367].speaker |
SPEAKER_03 |
transcript.pyannote[1367].start |
9688.08659375 |
transcript.pyannote[1367].end |
9692.11971875 |
transcript.pyannote[1368].speaker |
SPEAKER_03 |
transcript.pyannote[1368].start |
9692.22096875 |
transcript.pyannote[1368].end |
9705.68721875 |
transcript.pyannote[1369].speaker |
SPEAKER_03 |
transcript.pyannote[1369].start |
9707.03721875 |
transcript.pyannote[1369].end |
9714.02346875 |
transcript.pyannote[1370].speaker |
SPEAKER_03 |
transcript.pyannote[1370].start |
9714.36096875 |
transcript.pyannote[1370].end |
9715.69409375 |
transcript.pyannote[1371].speaker |
SPEAKER_03 |
transcript.pyannote[1371].start |
9716.41971875 |
transcript.pyannote[1371].end |
9720.28409375 |
transcript.pyannote[1372].speaker |
SPEAKER_03 |
transcript.pyannote[1372].start |
9720.79034375 |
transcript.pyannote[1372].end |
9722.08971875 |
transcript.pyannote[1373].speaker |
SPEAKER_03 |
transcript.pyannote[1373].start |
9723.15284375 |
transcript.pyannote[1373].end |
9725.51534375 |
transcript.pyannote[1374].speaker |
SPEAKER_03 |
transcript.pyannote[1374].start |
9726.19034375 |
transcript.pyannote[1374].end |
9728.87346875 |
transcript.pyannote[1375].speaker |
SPEAKER_03 |
transcript.pyannote[1375].start |
9729.71721875 |
transcript.pyannote[1375].end |
9731.62409375 |
transcript.pyannote[1376].speaker |
SPEAKER_03 |
transcript.pyannote[1376].start |
9733.12596875 |
transcript.pyannote[1376].end |
9734.54346875 |
transcript.pyannote[1377].speaker |
SPEAKER_03 |
transcript.pyannote[1377].start |
9736.43346875 |
transcript.pyannote[1377].end |
9736.83846875 |
transcript.pyannote[1378].speaker |
SPEAKER_03 |
transcript.pyannote[1378].start |
9739.01534375 |
transcript.pyannote[1378].end |
9747.65534375 |
transcript.pyannote[1379].speaker |
SPEAKER_03 |
transcript.pyannote[1379].start |
9748.31346875 |
transcript.pyannote[1379].end |
9749.88284375 |
transcript.pyannote[1380].speaker |
SPEAKER_03 |
transcript.pyannote[1380].start |
9751.85721875 |
transcript.pyannote[1380].end |
9757.32471875 |
transcript.pyannote[1381].speaker |
SPEAKER_03 |
transcript.pyannote[1381].start |
9757.84784375 |
transcript.pyannote[1381].end |
9761.61096875 |
transcript.pyannote[1382].speaker |
SPEAKER_03 |
transcript.pyannote[1382].start |
9762.26909375 |
transcript.pyannote[1382].end |
9764.22659375 |
transcript.pyannote[1383].speaker |
SPEAKER_03 |
transcript.pyannote[1383].start |
9765.42471875 |
transcript.pyannote[1383].end |
9766.28534375 |
transcript.pyannote[1384].speaker |
SPEAKER_03 |
transcript.pyannote[1384].start |
9767.77034375 |
transcript.pyannote[1384].end |
9769.44096875 |
transcript.pyannote[1385].speaker |
SPEAKER_03 |
transcript.pyannote[1385].start |
9769.60971875 |
transcript.pyannote[1385].end |
9771.95534375 |
transcript.pyannote[1386].speaker |
SPEAKER_03 |
transcript.pyannote[1386].start |
9773.35596875 |
transcript.pyannote[1386].end |
9778.82346875 |
transcript.pyannote[1387].speaker |
SPEAKER_03 |
transcript.pyannote[1387].start |
9779.97096875 |
transcript.pyannote[1387].end |
9787.90221875 |
transcript.pyannote[1388].speaker |
SPEAKER_03 |
transcript.pyannote[1388].start |
9789.06659375 |
transcript.pyannote[1388].end |
9790.68659375 |
transcript.pyannote[1389].speaker |
SPEAKER_03 |
transcript.pyannote[1389].start |
9791.69909375 |
transcript.pyannote[1389].end |
9793.63971875 |
transcript.pyannote[1390].speaker |
SPEAKER_03 |
transcript.pyannote[1390].start |
9794.46659375 |
transcript.pyannote[1390].end |
9795.66471875 |
transcript.pyannote[1391].speaker |
SPEAKER_03 |
transcript.pyannote[1391].start |
9796.33971875 |
transcript.pyannote[1391].end |
9799.66409375 |
transcript.pyannote[1392].speaker |
SPEAKER_03 |
transcript.pyannote[1392].start |
9800.64284375 |
transcript.pyannote[1392].end |
9804.11909375 |
transcript.pyannote[1393].speaker |
SPEAKER_03 |
transcript.pyannote[1393].start |
9805.97534375 |
transcript.pyannote[1393].end |
9806.92034375 |
transcript.pyannote[1394].speaker |
SPEAKER_03 |
transcript.pyannote[1394].start |
9807.57846875 |
transcript.pyannote[1394].end |
9808.35471875 |
transcript.pyannote[1395].speaker |
SPEAKER_03 |
transcript.pyannote[1395].start |
9808.55721875 |
transcript.pyannote[1395].end |
9809.78909375 |
transcript.pyannote[1396].speaker |
SPEAKER_03 |
transcript.pyannote[1396].start |
9810.91971875 |
transcript.pyannote[1396].end |
9815.81346875 |
transcript.pyannote[1397].speaker |
SPEAKER_03 |
transcript.pyannote[1397].start |
9816.96096875 |
transcript.pyannote[1397].end |
9823.93034375 |
transcript.pyannote[1398].speaker |
SPEAKER_03 |
transcript.pyannote[1398].start |
9825.02721875 |
transcript.pyannote[1398].end |
9841.34534375 |
transcript.pyannote[1399].speaker |
SPEAKER_03 |
transcript.pyannote[1399].start |
9842.47596875 |
transcript.pyannote[1399].end |
9844.87221875 |
transcript.pyannote[1400].speaker |
SPEAKER_03 |
transcript.pyannote[1400].start |
9845.29409375 |
transcript.pyannote[1400].end |
9847.20096875 |
transcript.pyannote[1401].speaker |
SPEAKER_03 |
transcript.pyannote[1401].start |
9847.43721875 |
transcript.pyannote[1401].end |
9849.73221875 |
transcript.pyannote[1402].speaker |
SPEAKER_03 |
transcript.pyannote[1402].start |
9850.28909375 |
transcript.pyannote[1402].end |
9851.38596875 |
transcript.pyannote[1403].speaker |
SPEAKER_03 |
transcript.pyannote[1403].start |
9852.26346875 |
transcript.pyannote[1403].end |
9877.87971875 |
transcript.pyannote[1404].speaker |
SPEAKER_03 |
transcript.pyannote[1404].start |
9878.94284375 |
transcript.pyannote[1404].end |
9894.90659375 |
transcript.pyannote[1405].speaker |
SPEAKER_03 |
transcript.pyannote[1405].start |
9896.47596875 |
transcript.pyannote[1405].end |
9903.04034375 |
transcript.pyannote[1406].speaker |
SPEAKER_03 |
transcript.pyannote[1406].start |
9903.56346875 |
transcript.pyannote[1406].end |
9904.81221875 |
transcript.pyannote[1407].speaker |
SPEAKER_03 |
transcript.pyannote[1407].start |
9905.84159375 |
transcript.pyannote[1407].end |
9906.14534375 |
transcript.pyannote[1408].speaker |
SPEAKER_03 |
transcript.pyannote[1408].start |
9907.15784375 |
transcript.pyannote[1408].end |
9907.84971875 |
transcript.pyannote[1409].speaker |
SPEAKER_03 |
transcript.pyannote[1409].start |
9908.54159375 |
transcript.pyannote[1409].end |
9909.08159375 |
transcript.pyannote[1410].speaker |
SPEAKER_03 |
transcript.pyannote[1410].start |
9909.45284375 |
transcript.pyannote[1410].end |
9910.90409375 |
transcript.pyannote[1411].speaker |
SPEAKER_03 |
transcript.pyannote[1411].start |
9911.66346875 |
transcript.pyannote[1411].end |
9912.74346875 |
transcript.pyannote[1412].speaker |
SPEAKER_03 |
transcript.pyannote[1412].start |
9915.15659375 |
transcript.pyannote[1412].end |
9929.16284375 |
transcript.pyannote[1413].speaker |
SPEAKER_03 |
transcript.pyannote[1413].start |
9931.01909375 |
transcript.pyannote[1413].end |
9935.38971875 |
transcript.pyannote[1414].speaker |
SPEAKER_03 |
transcript.pyannote[1414].start |
9935.84534375 |
transcript.pyannote[1414].end |
9936.62159375 |
transcript.pyannote[1415].speaker |
SPEAKER_03 |
transcript.pyannote[1415].start |
9939.82784375 |
transcript.pyannote[1415].end |
9942.64596875 |
transcript.pyannote[1416].speaker |
SPEAKER_03 |
transcript.pyannote[1416].start |
9943.70909375 |
transcript.pyannote[1416].end |
9945.91971875 |
transcript.pyannote[1417].speaker |
SPEAKER_03 |
transcript.pyannote[1417].start |
9945.97034375 |
transcript.pyannote[1417].end |
9946.03784375 |
transcript.pyannote[1418].speaker |
SPEAKER_03 |
transcript.pyannote[1418].start |
9946.15596875 |
transcript.pyannote[1418].end |
9947.96159375 |
transcript.pyannote[1419].speaker |
SPEAKER_03 |
transcript.pyannote[1419].start |
9989.59221875 |
transcript.pyannote[1419].end |
9995.09346875 |
transcript.pyannote[1420].speaker |
SPEAKER_03 |
transcript.pyannote[1420].start |
9996.32534375 |
transcript.pyannote[1420].end |
10002.87284375 |
transcript.pyannote[1421].speaker |
SPEAKER_03 |
transcript.pyannote[1421].start |
10004.88096875 |
transcript.pyannote[1421].end |
10005.60659375 |
transcript.pyannote[1422].speaker |
SPEAKER_03 |
transcript.pyannote[1422].start |
10008.81284375 |
transcript.pyannote[1422].end |
10012.57596875 |
transcript.pyannote[1423].speaker |
SPEAKER_03 |
transcript.pyannote[1423].start |
10014.09471875 |
transcript.pyannote[1423].end |
10014.95534375 |
transcript.pyannote[1424].speaker |
SPEAKER_03 |
transcript.pyannote[1424].start |
10016.06909375 |
transcript.pyannote[1424].end |
10019.03909375 |
transcript.pyannote[1425].speaker |
SPEAKER_03 |
transcript.pyannote[1425].start |
10019.47784375 |
transcript.pyannote[1425].end |
10020.00096875 |
transcript.pyannote[1426].speaker |
SPEAKER_03 |
transcript.pyannote[1426].start |
10022.88659375 |
transcript.pyannote[1426].end |
10023.91596875 |
transcript.pyannote[1427].speaker |
SPEAKER_03 |
transcript.pyannote[1427].start |
10025.58659375 |
transcript.pyannote[1427].end |
10026.16034375 |
transcript.pyannote[1428].speaker |
SPEAKER_03 |
transcript.pyannote[1428].start |
10027.54409375 |
transcript.pyannote[1428].end |
10029.43409375 |
transcript.pyannote[1429].speaker |
SPEAKER_03 |
transcript.pyannote[1429].start |
10029.88971875 |
transcript.pyannote[1429].end |
10030.32846875 |
transcript.pyannote[1430].speaker |
SPEAKER_03 |
transcript.pyannote[1430].start |
10033.56846875 |
transcript.pyannote[1430].end |
10038.34409375 |
transcript.pyannote[1431].speaker |
SPEAKER_03 |
transcript.pyannote[1431].start |
10073.51159375 |
transcript.pyannote[1431].end |
10077.40971875 |
transcript.pyannote[1432].speaker |
SPEAKER_03 |
transcript.pyannote[1432].start |
10077.59534375 |
transcript.pyannote[1432].end |
10078.21971875 |
transcript.pyannote[1433].speaker |
SPEAKER_03 |
transcript.pyannote[1433].start |
10088.05784375 |
transcript.pyannote[1433].end |
10090.53846875 |
transcript.pyannote[1434].speaker |
SPEAKER_03 |
transcript.pyannote[1434].start |
10092.02346875 |
transcript.pyannote[1434].end |
10092.47909375 |
transcript.pyannote[1435].speaker |
SPEAKER_03 |
transcript.pyannote[1435].start |
10093.91346875 |
transcript.pyannote[1435].end |
10098.23346875 |
transcript.pyannote[1436].speaker |
SPEAKER_03 |
transcript.pyannote[1436].start |
10098.85784375 |
transcript.pyannote[1436].end |
10100.24159375 |
transcript.pyannote[1437].speaker |
SPEAKER_03 |
transcript.pyannote[1437].start |
10103.75159375 |
transcript.pyannote[1437].end |
10104.40971875 |
transcript.pyannote[1438].speaker |
SPEAKER_03 |
transcript.pyannote[1438].start |
10105.91159375 |
transcript.pyannote[1438].end |
10109.35409375 |
transcript.pyannote[1439].speaker |
SPEAKER_03 |
transcript.pyannote[1439].start |
10109.86034375 |
transcript.pyannote[1439].end |
10113.84284375 |
transcript.pyannote[1440].speaker |
SPEAKER_03 |
transcript.pyannote[1440].start |
10115.22659375 |
transcript.pyannote[1440].end |
10125.09846875 |
transcript.pyannote[1441].speaker |
SPEAKER_03 |
transcript.pyannote[1441].start |
10125.28409375 |
transcript.pyannote[1441].end |
10132.79346875 |
transcript.pyannote[1442].speaker |
SPEAKER_03 |
transcript.pyannote[1442].start |
10133.55284375 |
transcript.pyannote[1442].end |
10135.22346875 |
transcript.pyannote[1443].speaker |
SPEAKER_03 |
transcript.pyannote[1443].start |
10135.62846875 |
transcript.pyannote[1443].end |
10138.02471875 |
transcript.pyannote[1444].speaker |
SPEAKER_03 |
transcript.pyannote[1444].start |
10138.44659375 |
transcript.pyannote[1444].end |
10138.75034375 |
transcript.pyannote[1445].speaker |
SPEAKER_03 |
transcript.pyannote[1445].start |
10139.81346875 |
transcript.pyannote[1445].end |
10141.11284375 |
transcript.pyannote[1446].speaker |
SPEAKER_03 |
transcript.pyannote[1446].start |
10143.18846875 |
transcript.pyannote[1446].end |
10146.61409375 |
transcript.pyannote[1447].speaker |
SPEAKER_03 |
transcript.pyannote[1447].start |
10146.98534375 |
transcript.pyannote[1447].end |
10147.44096875 |
transcript.pyannote[1448].speaker |
SPEAKER_03 |
transcript.pyannote[1448].start |
10148.04846875 |
transcript.pyannote[1448].end |
10149.49971875 |
transcript.pyannote[1449].speaker |
SPEAKER_03 |
transcript.pyannote[1449].start |
10149.65159375 |
transcript.pyannote[1449].end |
10153.97159375 |
transcript.pyannote[1450].speaker |
SPEAKER_03 |
transcript.pyannote[1450].start |
10156.68846875 |
transcript.pyannote[1450].end |
10157.39721875 |
transcript.pyannote[1451].speaker |
SPEAKER_03 |
transcript.pyannote[1451].start |
10157.70096875 |
transcript.pyannote[1451].end |
10158.83159375 |
transcript.pyannote[1452].speaker |
SPEAKER_03 |
transcript.pyannote[1452].start |
10160.46846875 |
transcript.pyannote[1452].end |
10161.02534375 |
transcript.pyannote[1453].speaker |
SPEAKER_03 |
transcript.pyannote[1453].start |
10161.86909375 |
transcript.pyannote[1453].end |
10174.72784375 |
transcript.pyannote[1454].speaker |
SPEAKER_03 |
transcript.pyannote[1454].start |
10175.23409375 |
transcript.pyannote[1454].end |
10176.65159375 |
transcript.pyannote[1455].speaker |
SPEAKER_03 |
transcript.pyannote[1455].start |
10177.22534375 |
transcript.pyannote[1455].end |
10178.18721875 |
transcript.pyannote[1456].speaker |
SPEAKER_03 |
transcript.pyannote[1456].start |
10180.19534375 |
transcript.pyannote[1456].end |
10183.13159375 |
transcript.pyannote[1457].speaker |
SPEAKER_03 |
transcript.pyannote[1457].start |
10184.36346875 |
transcript.pyannote[1457].end |
10185.02159375 |
transcript.pyannote[1458].speaker |
SPEAKER_03 |
transcript.pyannote[1458].start |
10186.13534375 |
transcript.pyannote[1458].end |
10190.87721875 |
transcript.pyannote[1459].speaker |
SPEAKER_03 |
transcript.pyannote[1459].start |
10191.38346875 |
transcript.pyannote[1459].end |
10192.85159375 |
transcript.pyannote[1460].speaker |
SPEAKER_03 |
transcript.pyannote[1460].start |
10195.34909375 |
transcript.pyannote[1460].end |
10195.85534375 |
transcript.pyannote[1461].speaker |
SPEAKER_03 |
transcript.pyannote[1461].start |
10196.27721875 |
transcript.pyannote[1461].end |
10209.62534375 |
transcript.pyannote[1462].speaker |
SPEAKER_03 |
transcript.pyannote[1462].start |
10210.30034375 |
transcript.pyannote[1462].end |
10212.62909375 |
transcript.pyannote[1463].speaker |
SPEAKER_03 |
transcript.pyannote[1463].start |
10214.48534375 |
transcript.pyannote[1463].end |
10221.21846875 |
transcript.pyannote[1464].speaker |
SPEAKER_03 |
transcript.pyannote[1464].start |
10222.31534375 |
transcript.pyannote[1464].end |
10229.30159375 |
transcript.pyannote[1465].speaker |
SPEAKER_03 |
transcript.pyannote[1465].start |
10230.16221875 |
transcript.pyannote[1465].end |
10234.70159375 |
transcript.pyannote[1466].speaker |
SPEAKER_03 |
transcript.pyannote[1466].start |
10239.56159375 |
transcript.pyannote[1466].end |
10241.02971875 |
transcript.pyannote[1467].speaker |
SPEAKER_03 |
transcript.pyannote[1467].start |
10241.28284375 |
transcript.pyannote[1467].end |
10242.21096875 |
transcript.pyannote[1468].speaker |
SPEAKER_03 |
transcript.pyannote[1468].start |
10242.44721875 |
transcript.pyannote[1468].end |
10243.24034375 |
transcript.pyannote[1469].speaker |
SPEAKER_03 |
transcript.pyannote[1469].start |
10243.96596875 |
transcript.pyannote[1469].end |
10252.63971875 |
transcript.pyannote[1470].speaker |
SPEAKER_03 |
transcript.pyannote[1470].start |
10253.01096875 |
transcript.pyannote[1470].end |
10254.44534375 |
transcript.pyannote[1471].speaker |
SPEAKER_03 |
transcript.pyannote[1471].start |
10255.71096875 |
transcript.pyannote[1471].end |
10260.33471875 |
transcript.pyannote[1472].speaker |
SPEAKER_03 |
transcript.pyannote[1472].start |
10260.60471875 |
transcript.pyannote[1472].end |
10267.70909375 |
transcript.pyannote[1473].speaker |
SPEAKER_03 |
transcript.pyannote[1473].start |
10269.66659375 |
transcript.pyannote[1473].end |
10271.89409375 |
transcript.pyannote[1474].speaker |
SPEAKER_03 |
transcript.pyannote[1474].start |
10273.17659375 |
transcript.pyannote[1474].end |
10275.74159375 |
transcript.pyannote[1475].speaker |
SPEAKER_03 |
transcript.pyannote[1475].start |
10277.41221875 |
transcript.pyannote[1475].end |
10282.35659375 |
transcript.pyannote[1476].speaker |
SPEAKER_03 |
transcript.pyannote[1476].start |
10282.57596875 |
transcript.pyannote[1476].end |
10285.15784375 |
transcript.pyannote[1477].speaker |
SPEAKER_03 |
transcript.pyannote[1477].start |
10286.22096875 |
transcript.pyannote[1477].end |
10295.55284375 |
transcript.pyannote[1478].speaker |
SPEAKER_03 |
transcript.pyannote[1478].start |
10295.92409375 |
transcript.pyannote[1478].end |
10296.76784375 |
transcript.pyannote[1479].speaker |
SPEAKER_03 |
transcript.pyannote[1479].start |
10298.06721875 |
transcript.pyannote[1479].end |
10299.75471875 |
transcript.pyannote[1480].speaker |
SPEAKER_03 |
transcript.pyannote[1480].start |
10301.07096875 |
transcript.pyannote[1480].end |
10301.76284375 |
transcript.pyannote[1481].speaker |
SPEAKER_03 |
transcript.pyannote[1481].start |
10302.74159375 |
transcript.pyannote[1481].end |
10303.75409375 |
transcript.pyannote[1482].speaker |
SPEAKER_03 |
transcript.pyannote[1482].start |
10304.32784375 |
transcript.pyannote[1482].end |
10309.87971875 |
transcript.pyannote[1483].speaker |
SPEAKER_03 |
transcript.pyannote[1483].start |
10311.28034375 |
transcript.pyannote[1483].end |
10317.82784375 |
transcript.pyannote[1484].speaker |
SPEAKER_03 |
transcript.pyannote[1484].start |
10319.04284375 |
transcript.pyannote[1484].end |
10322.53596875 |
transcript.pyannote[1485].speaker |
SPEAKER_03 |
transcript.pyannote[1485].start |
10323.37971875 |
transcript.pyannote[1485].end |
10325.50596875 |
transcript.pyannote[1486].speaker |
SPEAKER_03 |
transcript.pyannote[1486].start |
10326.13034375 |
transcript.pyannote[1486].end |
10327.95284375 |
transcript.pyannote[1487].speaker |
SPEAKER_03 |
transcript.pyannote[1487].start |
10328.20596875 |
transcript.pyannote[1487].end |
10331.17596875 |
transcript.pyannote[1488].speaker |
SPEAKER_03 |
transcript.pyannote[1488].start |
10332.42471875 |
transcript.pyannote[1488].end |
10334.06159375 |
transcript.pyannote[1489].speaker |
SPEAKER_03 |
transcript.pyannote[1489].start |
10334.38221875 |
transcript.pyannote[1489].end |
10350.17721875 |
transcript.pyannote[1490].speaker |
SPEAKER_03 |
transcript.pyannote[1490].start |
10351.86471875 |
transcript.pyannote[1490].end |
10352.45534375 |
transcript.pyannote[1491].speaker |
SPEAKER_03 |
transcript.pyannote[1491].start |
10352.55659375 |
transcript.pyannote[1491].end |
10354.83471875 |
transcript.pyannote[1492].speaker |
SPEAKER_03 |
transcript.pyannote[1492].start |
10355.74596875 |
transcript.pyannote[1492].end |
10356.42096875 |
transcript.pyannote[1493].speaker |
SPEAKER_03 |
transcript.pyannote[1493].start |
10356.65721875 |
transcript.pyannote[1493].end |
10357.88909375 |
transcript.pyannote[1494].speaker |
SPEAKER_03 |
transcript.pyannote[1494].start |
10359.67784375 |
transcript.pyannote[1494].end |
10364.62221875 |
transcript.pyannote[1495].speaker |
SPEAKER_03 |
transcript.pyannote[1495].start |
10364.97659375 |
transcript.pyannote[1495].end |
10365.09471875 |
transcript.pyannote[1496].speaker |
SPEAKER_03 |
transcript.pyannote[1496].start |
10365.24659375 |
transcript.pyannote[1496].end |
10367.59221875 |
transcript.pyannote[1497].speaker |
SPEAKER_03 |
transcript.pyannote[1497].start |
10368.08159375 |
transcript.pyannote[1497].end |
10369.73534375 |
transcript.pyannote[1498].speaker |
SPEAKER_03 |
transcript.pyannote[1498].start |
10369.98846875 |
transcript.pyannote[1498].end |
10403.18159375 |
transcript.pyannote[1499].speaker |
SPEAKER_03 |
transcript.pyannote[1499].start |
10403.56971875 |
transcript.pyannote[1499].end |
10414.43721875 |
transcript.pyannote[1500].speaker |
SPEAKER_03 |
transcript.pyannote[1500].start |
10416.37784375 |
transcript.pyannote[1500].end |
10417.05284375 |
transcript.pyannote[1501].speaker |
SPEAKER_03 |
transcript.pyannote[1501].start |
10418.82471875 |
transcript.pyannote[1501].end |
10422.03096875 |
transcript.pyannote[1502].speaker |
SPEAKER_03 |
transcript.pyannote[1502].start |
10422.14909375 |
transcript.pyannote[1502].end |
10423.36409375 |
transcript.pyannote[1503].speaker |
SPEAKER_03 |
transcript.pyannote[1503].start |
10423.81971875 |
transcript.pyannote[1503].end |
10425.70971875 |
transcript.pyannote[1504].speaker |
SPEAKER_03 |
transcript.pyannote[1504].start |
10426.43534375 |
transcript.pyannote[1504].end |
10427.85284375 |
transcript.pyannote[1505].speaker |
SPEAKER_03 |
transcript.pyannote[1505].start |
10427.97096875 |
transcript.pyannote[1505].end |
10428.71346875 |
transcript.pyannote[1506].speaker |
SPEAKER_03 |
transcript.pyannote[1506].start |
10430.04659375 |
transcript.pyannote[1506].end |
10432.00409375 |
transcript.pyannote[1507].speaker |
SPEAKER_03 |
transcript.pyannote[1507].start |
10433.20221875 |
transcript.pyannote[1507].end |
10434.24846875 |
transcript.pyannote[1508].speaker |
SPEAKER_00 |
transcript.pyannote[1508].start |
10433.23596875 |
transcript.pyannote[1508].end |
10433.50596875 |
transcript.pyannote[1509].speaker |
SPEAKER_03 |
transcript.pyannote[1509].start |
10434.73784375 |
transcript.pyannote[1509].end |
10453.99221875 |
transcript.pyannote[1510].speaker |
SPEAKER_03 |
transcript.pyannote[1510].start |
10455.78096875 |
transcript.pyannote[1510].end |
10458.05909375 |
transcript.pyannote[1511].speaker |
SPEAKER_03 |
transcript.pyannote[1511].start |
10459.07159375 |
transcript.pyannote[1511].end |
10459.84784375 |
transcript.pyannote[1512].speaker |
SPEAKER_03 |
transcript.pyannote[1512].start |
10461.28221875 |
transcript.pyannote[1512].end |
10463.66159375 |
transcript.pyannote[1513].speaker |
SPEAKER_03 |
transcript.pyannote[1513].start |
10464.64034375 |
transcript.pyannote[1513].end |
10473.60096875 |
transcript.pyannote[1514].speaker |
SPEAKER_03 |
transcript.pyannote[1514].start |
10476.16596875 |
transcript.pyannote[1514].end |
10476.85784375 |
transcript.pyannote[1515].speaker |
SPEAKER_03 |
transcript.pyannote[1515].start |
10477.93784375 |
transcript.pyannote[1515].end |
10479.72659375 |
transcript.pyannote[1516].speaker |
SPEAKER_03 |
transcript.pyannote[1516].start |
10481.46471875 |
transcript.pyannote[1516].end |
10481.71784375 |
transcript.pyannote[1517].speaker |
SPEAKER_03 |
transcript.pyannote[1517].start |
10482.12284375 |
transcript.pyannote[1517].end |
10482.35909375 |
transcript.pyannote[1518].speaker |
SPEAKER_03 |
transcript.pyannote[1518].start |
10482.88221875 |
transcript.pyannote[1518].end |
10489.53096875 |
transcript.pyannote[1519].speaker |
SPEAKER_03 |
transcript.pyannote[1519].start |
10490.89784375 |
transcript.pyannote[1519].end |
10491.89346875 |
transcript.pyannote[1520].speaker |
SPEAKER_03 |
transcript.pyannote[1520].start |
10492.39971875 |
transcript.pyannote[1520].end |
10493.68221875 |
transcript.pyannote[1521].speaker |
SPEAKER_03 |
transcript.pyannote[1521].start |
10497.52971875 |
transcript.pyannote[1521].end |
10498.03596875 |
transcript.pyannote[1522].speaker |
SPEAKER_03 |
transcript.pyannote[1522].start |
10499.57159375 |
transcript.pyannote[1522].end |
10500.73596875 |
transcript.pyannote[1523].speaker |
SPEAKER_03 |
transcript.pyannote[1523].start |
10502.55846875 |
transcript.pyannote[1523].end |
10506.25409375 |
transcript.pyannote[1524].speaker |
SPEAKER_03 |
transcript.pyannote[1524].start |
10507.45221875 |
transcript.pyannote[1524].end |
10515.73784375 |
transcript.pyannote[1525].speaker |
SPEAKER_03 |
transcript.pyannote[1525].start |
10517.07096875 |
transcript.pyannote[1525].end |
10522.97721875 |
transcript.pyannote[1526].speaker |
SPEAKER_03 |
transcript.pyannote[1526].start |
10523.36534375 |
transcript.pyannote[1526].end |
10524.56346875 |
transcript.pyannote[1527].speaker |
SPEAKER_03 |
transcript.pyannote[1527].start |
10525.20471875 |
transcript.pyannote[1527].end |
10526.92596875 |
transcript.pyannote[1528].speaker |
SPEAKER_03 |
transcript.pyannote[1528].start |
10527.95534375 |
transcript.pyannote[1528].end |
10531.80284375 |
transcript.pyannote[1529].speaker |
SPEAKER_03 |
transcript.pyannote[1529].start |
10533.40596875 |
transcript.pyannote[1529].end |
10542.73784375 |
transcript.pyannote[1530].speaker |
SPEAKER_03 |
transcript.pyannote[1530].start |
10543.66596875 |
transcript.pyannote[1530].end |
10545.60659375 |
transcript.pyannote[1531].speaker |
SPEAKER_03 |
transcript.pyannote[1531].start |
10547.00721875 |
transcript.pyannote[1531].end |
10550.51721875 |
transcript.pyannote[1532].speaker |
SPEAKER_03 |
transcript.pyannote[1532].start |
10551.10784375 |
transcript.pyannote[1532].end |
10557.94221875 |
transcript.pyannote[1533].speaker |
SPEAKER_03 |
transcript.pyannote[1533].start |
10558.83659375 |
transcript.pyannote[1533].end |
10566.17721875 |
transcript.pyannote[1534].speaker |
SPEAKER_03 |
transcript.pyannote[1534].start |
10566.32909375 |
transcript.pyannote[1534].end |
10570.46346875 |
transcript.pyannote[1535].speaker |
SPEAKER_03 |
transcript.pyannote[1535].start |
10571.44221875 |
transcript.pyannote[1535].end |
10587.16971875 |
transcript.pyannote[1536].speaker |
SPEAKER_03 |
transcript.pyannote[1536].start |
10589.09346875 |
transcript.pyannote[1536].end |
10590.35909375 |
transcript.pyannote[1537].speaker |
SPEAKER_03 |
transcript.pyannote[1537].start |
10593.17721875 |
transcript.pyannote[1537].end |
10601.46284375 |
transcript.pyannote[1538].speaker |
SPEAKER_03 |
transcript.pyannote[1538].start |
10602.98159375 |
transcript.pyannote[1538].end |
10603.97721875 |
transcript.pyannote[1539].speaker |
SPEAKER_03 |
transcript.pyannote[1539].start |
10605.24284375 |
transcript.pyannote[1539].end |
10605.46221875 |
transcript.pyannote[1540].speaker |
SPEAKER_03 |
transcript.pyannote[1540].start |
10605.85034375 |
transcript.pyannote[1540].end |
10606.28909375 |
transcript.pyannote[1541].speaker |
SPEAKER_03 |
transcript.pyannote[1541].start |
10607.26784375 |
transcript.pyannote[1541].end |
10608.31409375 |
transcript.pyannote[1542].speaker |
SPEAKER_03 |
transcript.pyannote[1542].start |
10608.51659375 |
transcript.pyannote[1542].end |
10610.38971875 |
transcript.pyannote[1543].speaker |
SPEAKER_03 |
transcript.pyannote[1543].start |
10611.04784375 |
transcript.pyannote[1543].end |
10611.11534375 |
transcript.pyannote[1544].speaker |
SPEAKER_03 |
transcript.pyannote[1544].start |
10611.46971875 |
transcript.pyannote[1544].end |
10616.19471875 |
transcript.pyannote[1545].speaker |
SPEAKER_03 |
transcript.pyannote[1545].start |
10616.92034375 |
transcript.pyannote[1545].end |
10617.10596875 |
transcript.pyannote[1546].speaker |
SPEAKER_03 |
transcript.pyannote[1546].start |
10617.81471875 |
transcript.pyannote[1546].end |
10618.55721875 |
transcript.pyannote[1547].speaker |
SPEAKER_03 |
transcript.pyannote[1547].start |
10618.70909375 |
transcript.pyannote[1547].end |
10619.01284375 |
transcript.pyannote[1548].speaker |
SPEAKER_03 |
transcript.pyannote[1548].start |
10619.75534375 |
transcript.pyannote[1548].end |
10621.10534375 |
transcript.pyannote[1549].speaker |
SPEAKER_03 |
transcript.pyannote[1549].start |
10622.45534375 |
transcript.pyannote[1549].end |
10622.79284375 |
transcript.pyannote[1550].speaker |
SPEAKER_03 |
transcript.pyannote[1550].start |
10623.13034375 |
transcript.pyannote[1550].end |
10623.50159375 |
transcript.pyannote[1551].speaker |
SPEAKER_03 |
transcript.pyannote[1551].start |
10623.75471875 |
transcript.pyannote[1551].end |
10626.55596875 |
transcript.pyannote[1552].speaker |
SPEAKER_03 |
transcript.pyannote[1552].start |
10630.75784375 |
transcript.pyannote[1552].end |
10635.02721875 |
transcript.pyannote[1553].speaker |
SPEAKER_03 |
transcript.pyannote[1553].start |
10636.17471875 |
transcript.pyannote[1553].end |
10636.84971875 |
transcript.pyannote[1554].speaker |
SPEAKER_03 |
transcript.pyannote[1554].start |
10637.57534375 |
transcript.pyannote[1554].end |
10638.73971875 |
transcript.pyannote[1555].speaker |
SPEAKER_03 |
transcript.pyannote[1555].start |
10639.39784375 |
transcript.pyannote[1555].end |
10641.72659375 |
transcript.pyannote[1556].speaker |
SPEAKER_03 |
transcript.pyannote[1556].start |
10642.50284375 |
transcript.pyannote[1556].end |
10643.63346875 |
transcript.pyannote[1557].speaker |
SPEAKER_03 |
transcript.pyannote[1557].start |
10645.00034375 |
transcript.pyannote[1557].end |
10646.70471875 |
transcript.pyannote[1558].speaker |
SPEAKER_03 |
transcript.pyannote[1558].start |
10651.22721875 |
transcript.pyannote[1558].end |
10651.95284375 |
transcript.pyannote[1559].speaker |
SPEAKER_03 |
transcript.pyannote[1559].start |
10653.60659375 |
transcript.pyannote[1559].end |
10653.97784375 |
transcript.pyannote[1560].speaker |
SPEAKER_03 |
transcript.pyannote[1560].start |
10654.97346875 |
transcript.pyannote[1560].end |
10657.72409375 |
transcript.pyannote[1561].speaker |
SPEAKER_03 |
transcript.pyannote[1561].start |
10658.53409375 |
transcript.pyannote[1561].end |
10662.31409375 |
transcript.pyannote[1562].speaker |
SPEAKER_03 |
transcript.pyannote[1562].start |
10663.12409375 |
transcript.pyannote[1562].end |
10665.31784375 |
transcript.pyannote[1563].speaker |
SPEAKER_03 |
transcript.pyannote[1563].start |
10666.39784375 |
transcript.pyannote[1563].end |
10678.05846875 |
transcript.pyannote[1564].speaker |
SPEAKER_03 |
transcript.pyannote[1564].start |
10678.49721875 |
transcript.pyannote[1564].end |
10681.01159375 |
transcript.pyannote[1565].speaker |
SPEAKER_03 |
transcript.pyannote[1565].start |
10681.43346875 |
transcript.pyannote[1565].end |
10683.50909375 |
transcript.pyannote[1566].speaker |
SPEAKER_03 |
transcript.pyannote[1566].start |
10684.06596875 |
transcript.pyannote[1566].end |
10690.05659375 |
transcript.pyannote[1567].speaker |
SPEAKER_03 |
transcript.pyannote[1567].start |
10690.63034375 |
transcript.pyannote[1567].end |
10694.56221875 |
transcript.pyannote[1568].speaker |
SPEAKER_03 |
transcript.pyannote[1568].start |
10694.89971875 |
transcript.pyannote[1568].end |
10695.67596875 |
transcript.pyannote[1569].speaker |
SPEAKER_03 |
transcript.pyannote[1569].start |
10696.16534375 |
transcript.pyannote[1569].end |
10700.45159375 |
transcript.pyannote[1570].speaker |
SPEAKER_03 |
transcript.pyannote[1570].start |
10702.84784375 |
transcript.pyannote[1570].end |
10703.75909375 |
transcript.pyannote[1571].speaker |
SPEAKER_03 |
transcript.pyannote[1571].start |
10704.16409375 |
transcript.pyannote[1571].end |
10704.43409375 |
transcript.pyannote[1572].speaker |
SPEAKER_03 |
transcript.pyannote[1572].start |
10705.12596875 |
transcript.pyannote[1572].end |
10706.71221875 |
transcript.pyannote[1573].speaker |
SPEAKER_03 |
transcript.pyannote[1573].start |
10707.96096875 |
transcript.pyannote[1573].end |
10708.95659375 |
transcript.pyannote[1574].speaker |
SPEAKER_03 |
transcript.pyannote[1574].start |
10712.28096875 |
transcript.pyannote[1574].end |
10713.47909375 |
transcript.pyannote[1575].speaker |
SPEAKER_03 |
transcript.pyannote[1575].start |
10715.26784375 |
transcript.pyannote[1575].end |
10716.43221875 |
transcript.pyannote[1576].speaker |
SPEAKER_03 |
transcript.pyannote[1576].start |
10717.09034375 |
transcript.pyannote[1576].end |
10723.70534375 |
transcript.pyannote[1577].speaker |
SPEAKER_03 |
transcript.pyannote[1577].start |
10725.71346875 |
transcript.pyannote[1577].end |
10725.86534375 |
transcript.pyannote[1578].speaker |
SPEAKER_03 |
transcript.pyannote[1578].start |
10727.04659375 |
transcript.pyannote[1578].end |
10730.55659375 |
transcript.pyannote[1579].speaker |
SPEAKER_03 |
transcript.pyannote[1579].start |
10730.96159375 |
transcript.pyannote[1579].end |
10731.36659375 |
transcript.pyannote[1580].speaker |
SPEAKER_03 |
transcript.pyannote[1580].start |
10732.53096875 |
transcript.pyannote[1580].end |
10738.13346875 |
transcript.pyannote[1581].speaker |
SPEAKER_03 |
transcript.pyannote[1581].start |
10740.10784375 |
transcript.pyannote[1581].end |
10741.10346875 |
transcript.pyannote[1582].speaker |
SPEAKER_03 |
transcript.pyannote[1582].start |
10742.84159375 |
transcript.pyannote[1582].end |
10745.82846875 |
transcript.pyannote[1583].speaker |
SPEAKER_03 |
transcript.pyannote[1583].start |
10746.43596875 |
transcript.pyannote[1583].end |
10747.97159375 |
transcript.pyannote[1584].speaker |
SPEAKER_03 |
transcript.pyannote[1584].start |
10749.60846875 |
transcript.pyannote[1584].end |
10757.55659375 |
transcript.pyannote[1585].speaker |
SPEAKER_03 |
transcript.pyannote[1585].start |
10758.02909375 |
transcript.pyannote[1585].end |
10762.72034375 |
transcript.pyannote[1586].speaker |
SPEAKER_03 |
transcript.pyannote[1586].start |
10762.88909375 |
transcript.pyannote[1586].end |
10766.17971875 |
transcript.pyannote[1587].speaker |
SPEAKER_03 |
transcript.pyannote[1587].start |
10767.93471875 |
transcript.pyannote[1587].end |
10775.27534375 |
transcript.pyannote[1588].speaker |
SPEAKER_03 |
transcript.pyannote[1588].start |
10776.87846875 |
transcript.pyannote[1588].end |
10779.96659375 |
transcript.pyannote[1589].speaker |
SPEAKER_03 |
transcript.pyannote[1589].start |
10782.05909375 |
transcript.pyannote[1589].end |
10787.99909375 |
transcript.pyannote[1590].speaker |
SPEAKER_03 |
transcript.pyannote[1590].start |
10789.38284375 |
transcript.pyannote[1590].end |
10790.64846875 |
transcript.pyannote[1591].speaker |
SPEAKER_03 |
transcript.pyannote[1591].start |
10790.69909375 |
transcript.pyannote[1591].end |
10792.40346875 |
transcript.pyannote[1592].speaker |
SPEAKER_03 |
transcript.pyannote[1592].start |
10794.24284375 |
transcript.pyannote[1592].end |
10794.88409375 |
transcript.pyannote[1593].speaker |
SPEAKER_03 |
transcript.pyannote[1593].start |
10796.97659375 |
transcript.pyannote[1593].end |
10800.99284375 |
transcript.pyannote[1594].speaker |
SPEAKER_03 |
transcript.pyannote[1594].start |
10802.20784375 |
transcript.pyannote[1594].end |
10808.02971875 |
transcript.pyannote[1595].speaker |
SPEAKER_03 |
transcript.pyannote[1595].start |
10808.58659375 |
transcript.pyannote[1595].end |
10816.29846875 |
transcript.pyannote[1596].speaker |
SPEAKER_03 |
transcript.pyannote[1596].start |
10816.48409375 |
transcript.pyannote[1596].end |
10821.61409375 |
transcript.pyannote[1597].speaker |
SPEAKER_03 |
transcript.pyannote[1597].start |
10821.98534375 |
transcript.pyannote[1597].end |
10830.72659375 |
transcript.pyannote[1598].speaker |
SPEAKER_03 |
transcript.pyannote[1598].start |
10831.14846875 |
transcript.pyannote[1598].end |
10836.91971875 |
transcript.pyannote[1599].speaker |
SPEAKER_03 |
transcript.pyannote[1599].start |
10837.86471875 |
transcript.pyannote[1599].end |
10840.19346875 |
transcript.pyannote[1600].speaker |
SPEAKER_03 |
transcript.pyannote[1600].start |
10841.88096875 |
transcript.pyannote[1600].end |
10844.41221875 |
transcript.pyannote[1601].speaker |
SPEAKER_03 |
transcript.pyannote[1601].start |
10845.28971875 |
transcript.pyannote[1601].end |
10846.09971875 |
transcript.pyannote[1602].speaker |
SPEAKER_03 |
transcript.pyannote[1602].start |
10846.28534375 |
transcript.pyannote[1602].end |
10847.71971875 |
transcript.pyannote[1603].speaker |
SPEAKER_03 |
transcript.pyannote[1603].start |
10848.86721875 |
transcript.pyannote[1603].end |
10852.24221875 |
transcript.pyannote[1604].speaker |
SPEAKER_03 |
transcript.pyannote[1604].start |
10852.91721875 |
transcript.pyannote[1604].end |
10863.76784375 |
transcript.pyannote[1605].speaker |
SPEAKER_03 |
transcript.pyannote[1605].start |
10864.22346875 |
transcript.pyannote[1605].end |
10879.47846875 |
transcript.pyannote[1606].speaker |
SPEAKER_03 |
transcript.pyannote[1606].start |
10881.43596875 |
transcript.pyannote[1606].end |
10886.24534375 |
transcript.pyannote[1607].speaker |
SPEAKER_03 |
transcript.pyannote[1607].start |
10887.83159375 |
transcript.pyannote[1607].end |
10889.24909375 |
transcript.pyannote[1608].speaker |
SPEAKER_03 |
transcript.pyannote[1608].start |
10892.18534375 |
transcript.pyannote[1608].end |
10893.80534375 |
transcript.pyannote[1609].speaker |
SPEAKER_03 |
transcript.pyannote[1609].start |
10894.59846875 |
transcript.pyannote[1609].end |
10898.76659375 |
transcript.pyannote[1610].speaker |
SPEAKER_03 |
transcript.pyannote[1610].start |
10901.06159375 |
transcript.pyannote[1610].end |
10903.20471875 |
transcript.pyannote[1611].speaker |
SPEAKER_03 |
transcript.pyannote[1611].start |
10903.54221875 |
transcript.pyannote[1611].end |
10905.80346875 |
transcript.pyannote[1612].speaker |
SPEAKER_03 |
transcript.pyannote[1612].start |
10906.29284375 |
transcript.pyannote[1612].end |
10914.05534375 |
transcript.pyannote[1613].speaker |
SPEAKER_03 |
transcript.pyannote[1613].start |
10914.83159375 |
transcript.pyannote[1613].end |
10922.64471875 |
transcript.pyannote[1614].speaker |
SPEAKER_03 |
transcript.pyannote[1614].start |
10923.77534375 |
transcript.pyannote[1614].end |
10929.49596875 |
transcript.pyannote[1615].speaker |
SPEAKER_03 |
transcript.pyannote[1615].start |
10930.17096875 |
transcript.pyannote[1615].end |
10932.09471875 |
transcript.pyannote[1616].speaker |
SPEAKER_03 |
transcript.pyannote[1616].start |
10933.59659375 |
transcript.pyannote[1616].end |
10934.62596875 |
transcript.pyannote[1617].speaker |
SPEAKER_03 |
transcript.pyannote[1617].start |
10935.92534375 |
transcript.pyannote[1617].end |
10937.27534375 |
transcript.pyannote[1618].speaker |
SPEAKER_03 |
transcript.pyannote[1618].start |
10937.78159375 |
transcript.pyannote[1618].end |
10941.39284375 |
transcript.pyannote[1619].speaker |
SPEAKER_03 |
transcript.pyannote[1619].start |
10941.84846875 |
transcript.pyannote[1619].end |
10943.97471875 |
transcript.pyannote[1620].speaker |
SPEAKER_03 |
transcript.pyannote[1620].start |
10945.91534375 |
transcript.pyannote[1620].end |
10949.40846875 |
transcript.pyannote[1621].speaker |
SPEAKER_03 |
transcript.pyannote[1621].start |
10949.76284375 |
transcript.pyannote[1621].end |
10955.82096875 |
transcript.pyannote[1622].speaker |
SPEAKER_03 |
transcript.pyannote[1622].start |
10956.63096875 |
transcript.pyannote[1622].end |
10966.09784375 |
transcript.pyannote[1623].speaker |
SPEAKER_03 |
transcript.pyannote[1623].start |
10966.31721875 |
transcript.pyannote[1623].end |
10975.88534375 |
transcript.pyannote[1624].speaker |
SPEAKER_03 |
transcript.pyannote[1624].start |
10976.37471875 |
transcript.pyannote[1624].end |
10978.80471875 |
transcript.pyannote[1625].speaker |
SPEAKER_03 |
transcript.pyannote[1625].start |
10978.93971875 |
transcript.pyannote[1625].end |
10982.66909375 |
transcript.pyannote[1626].speaker |
SPEAKER_03 |
transcript.pyannote[1626].start |
10983.27659375 |
transcript.pyannote[1626].end |
10987.73159375 |
transcript.pyannote[1627].speaker |
SPEAKER_03 |
transcript.pyannote[1627].start |
10988.13659375 |
transcript.pyannote[1627].end |
10990.87034375 |
transcript.pyannote[1628].speaker |
SPEAKER_03 |
transcript.pyannote[1628].start |
10992.00096875 |
transcript.pyannote[1628].end |
10994.65034375 |
transcript.pyannote[1629].speaker |
SPEAKER_03 |
transcript.pyannote[1629].start |
10997.14784375 |
transcript.pyannote[1629].end |
10997.92409375 |
transcript.pyannote[1630].speaker |
SPEAKER_03 |
transcript.pyannote[1630].start |
10999.51034375 |
transcript.pyannote[1630].end |
11001.50159375 |
transcript.pyannote[1631].speaker |
SPEAKER_03 |
transcript.pyannote[1631].start |
11002.12596875 |
transcript.pyannote[1631].end |
11003.40846875 |
transcript.pyannote[1632].speaker |
SPEAKER_03 |
transcript.pyannote[1632].start |
11003.45909375 |
transcript.pyannote[1632].end |
11005.19721875 |
transcript.pyannote[1633].speaker |
SPEAKER_03 |
transcript.pyannote[1633].start |
11006.37846875 |
transcript.pyannote[1633].end |
11009.56784375 |
transcript.pyannote[1634].speaker |
SPEAKER_03 |
transcript.pyannote[1634].start |
11010.27659375 |
transcript.pyannote[1634].end |
11013.31409375 |
transcript.pyannote[1635].speaker |
SPEAKER_03 |
transcript.pyannote[1635].start |
11013.80346875 |
transcript.pyannote[1635].end |
11024.62034375 |
transcript.pyannote[1636].speaker |
SPEAKER_03 |
transcript.pyannote[1636].start |
11025.05909375 |
transcript.pyannote[1636].end |
11028.72096875 |
transcript.pyannote[1637].speaker |
SPEAKER_03 |
transcript.pyannote[1637].start |
11031.92721875 |
transcript.pyannote[1637].end |
11055.26534375 |
transcript.pyannote[1638].speaker |
SPEAKER_00 |
transcript.pyannote[1638].start |
11032.73721875 |
transcript.pyannote[1638].end |
11033.04096875 |
transcript.pyannote[1639].speaker |
SPEAKER_03 |
transcript.pyannote[1639].start |
11056.04159375 |
transcript.pyannote[1639].end |
11057.69534375 |
transcript.pyannote[1640].speaker |
SPEAKER_03 |
transcript.pyannote[1640].start |
11058.47159375 |
transcript.pyannote[1640].end |
11058.72471875 |
transcript.pyannote[1641].speaker |
SPEAKER_03 |
transcript.pyannote[1641].start |
11059.50096875 |
transcript.pyannote[1641].end |
11061.49221875 |
transcript.pyannote[1642].speaker |
SPEAKER_03 |
transcript.pyannote[1642].start |
11062.04909375 |
transcript.pyannote[1642].end |
11069.44034375 |
transcript.pyannote[1643].speaker |
SPEAKER_03 |
transcript.pyannote[1643].start |
11070.01409375 |
transcript.pyannote[1643].end |
11074.28346875 |
transcript.pyannote[1644].speaker |
SPEAKER_03 |
transcript.pyannote[1644].start |
11074.70534375 |
transcript.pyannote[1644].end |
11076.19034375 |
transcript.pyannote[1645].speaker |
SPEAKER_03 |
transcript.pyannote[1645].start |
11076.67971875 |
transcript.pyannote[1645].end |
11078.77221875 |
transcript.pyannote[1646].speaker |
SPEAKER_03 |
transcript.pyannote[1646].start |
11079.86909375 |
transcript.pyannote[1646].end |
11081.65784375 |
transcript.pyannote[1647].speaker |
SPEAKER_03 |
transcript.pyannote[1647].start |
11082.65346875 |
transcript.pyannote[1647].end |
11083.48034375 |
transcript.pyannote[1648].speaker |
SPEAKER_03 |
transcript.pyannote[1648].start |
11083.93596875 |
transcript.pyannote[1648].end |
11085.67409375 |
transcript.pyannote[1649].speaker |
SPEAKER_03 |
transcript.pyannote[1649].start |
11086.18034375 |
transcript.pyannote[1649].end |
11088.28971875 |
transcript.pyannote[1650].speaker |
SPEAKER_03 |
transcript.pyannote[1650].start |
11089.96034375 |
transcript.pyannote[1650].end |
11093.94284375 |
transcript.pyannote[1651].speaker |
SPEAKER_03 |
transcript.pyannote[1651].start |
11094.39846875 |
transcript.pyannote[1651].end |
11097.13221875 |
transcript.pyannote[1652].speaker |
SPEAKER_03 |
transcript.pyannote[1652].start |
11098.04346875 |
transcript.pyannote[1652].end |
11105.02971875 |
transcript.pyannote[1653].speaker |
SPEAKER_03 |
transcript.pyannote[1653].start |
11106.56534375 |
transcript.pyannote[1653].end |
11111.83034375 |
transcript.pyannote[1654].speaker |
SPEAKER_03 |
transcript.pyannote[1654].start |
11111.96534375 |
transcript.pyannote[1654].end |
11117.87159375 |
transcript.pyannote[1655].speaker |
SPEAKER_03 |
transcript.pyannote[1655].start |
11118.69846875 |
transcript.pyannote[1655].end |
11130.83159375 |
transcript.pyannote[1656].speaker |
SPEAKER_03 |
transcript.pyannote[1656].start |
11133.04221875 |
transcript.pyannote[1656].end |
11134.44284375 |
transcript.pyannote[1657].speaker |
SPEAKER_03 |
transcript.pyannote[1657].start |
11134.91534375 |
transcript.pyannote[1657].end |
11136.21471875 |
transcript.pyannote[1658].speaker |
SPEAKER_03 |
transcript.pyannote[1658].start |
11137.39596875 |
transcript.pyannote[1658].end |
11143.63971875 |
transcript.pyannote[1659].speaker |
SPEAKER_03 |
transcript.pyannote[1659].start |
11144.51721875 |
transcript.pyannote[1659].end |
11146.82909375 |
transcript.pyannote[1660].speaker |
SPEAKER_03 |
transcript.pyannote[1660].start |
11147.40284375 |
transcript.pyannote[1660].end |
11148.60096875 |
transcript.pyannote[1661].speaker |
SPEAKER_03 |
transcript.pyannote[1661].start |
11149.93409375 |
transcript.pyannote[1661].end |
11150.55846875 |
transcript.pyannote[1662].speaker |
SPEAKER_03 |
transcript.pyannote[1662].start |
11151.33471875 |
transcript.pyannote[1662].end |
11155.43534375 |
transcript.pyannote[1663].speaker |
SPEAKER_03 |
transcript.pyannote[1663].start |
11159.63721875 |
transcript.pyannote[1663].end |
11160.36284375 |
transcript.pyannote[1664].speaker |
SPEAKER_03 |
transcript.pyannote[1664].start |
11160.97034375 |
transcript.pyannote[1664].end |
11166.77534375 |
transcript.pyannote[1665].speaker |
SPEAKER_03 |
transcript.pyannote[1665].start |
11168.07471875 |
transcript.pyannote[1665].end |
11171.97284375 |
transcript.pyannote[1666].speaker |
SPEAKER_03 |
transcript.pyannote[1666].start |
11172.49596875 |
transcript.pyannote[1666].end |
11172.90096875 |
transcript.pyannote[1667].speaker |
SPEAKER_03 |
transcript.pyannote[1667].start |
11173.47471875 |
transcript.pyannote[1667].end |
11175.93846875 |
transcript.pyannote[1668].speaker |
SPEAKER_03 |
transcript.pyannote[1668].start |
11177.00159375 |
transcript.pyannote[1668].end |
11182.73909375 |
transcript.pyannote[1669].speaker |
SPEAKER_03 |
transcript.pyannote[1669].start |
11183.09346875 |
transcript.pyannote[1669].end |
11195.96909375 |
transcript.pyannote[1670].speaker |
SPEAKER_03 |
transcript.pyannote[1670].start |
11196.35721875 |
transcript.pyannote[1670].end |
11202.68534375 |
transcript.pyannote[1671].speaker |
SPEAKER_03 |
transcript.pyannote[1671].start |
11204.06909375 |
transcript.pyannote[1671].end |
11226.07409375 |
transcript.pyannote[1672].speaker |
SPEAKER_03 |
transcript.pyannote[1672].start |
11226.76596875 |
transcript.pyannote[1672].end |
11232.11534375 |
transcript.pyannote[1673].speaker |
SPEAKER_03 |
transcript.pyannote[1673].start |
11232.68909375 |
transcript.pyannote[1673].end |
11236.72221875 |
transcript.pyannote[1674].speaker |
SPEAKER_03 |
transcript.pyannote[1674].start |
11237.36346875 |
transcript.pyannote[1674].end |
11240.02971875 |
transcript.pyannote[1675].speaker |
SPEAKER_03 |
transcript.pyannote[1675].start |
11240.41784375 |
transcript.pyannote[1675].end |
11251.67346875 |
transcript.pyannote[1676].speaker |
SPEAKER_03 |
transcript.pyannote[1676].start |
11252.29784375 |
transcript.pyannote[1676].end |
11253.56346875 |
transcript.pyannote[1677].speaker |
SPEAKER_03 |
transcript.pyannote[1677].start |
11254.62659375 |
transcript.pyannote[1677].end |
11256.44909375 |
transcript.pyannote[1678].speaker |
SPEAKER_03 |
transcript.pyannote[1678].start |
11257.54596875 |
transcript.pyannote[1678].end |
11260.92096875 |
transcript.pyannote[1679].speaker |
SPEAKER_03 |
transcript.pyannote[1679].start |
11260.97159375 |
transcript.pyannote[1679].end |
11266.15221875 |
transcript.pyannote[1680].speaker |
SPEAKER_03 |
transcript.pyannote[1680].start |
11266.55721875 |
transcript.pyannote[1680].end |
11273.34096875 |
transcript.pyannote[1681].speaker |
SPEAKER_03 |
transcript.pyannote[1681].start |
11273.93159375 |
transcript.pyannote[1681].end |
11276.29409375 |
transcript.pyannote[1682].speaker |
SPEAKER_03 |
transcript.pyannote[1682].start |
11276.41221875 |
transcript.pyannote[1682].end |
11281.23846875 |
transcript.pyannote[1683].speaker |
SPEAKER_03 |
transcript.pyannote[1683].start |
11281.47471875 |
transcript.pyannote[1683].end |
11296.64534375 |
transcript.pyannote[1684].speaker |
SPEAKER_03 |
transcript.pyannote[1684].start |
11297.13471875 |
transcript.pyannote[1684].end |
11299.04159375 |
transcript.pyannote[1685].speaker |
SPEAKER_03 |
transcript.pyannote[1685].start |
11299.26096875 |
transcript.pyannote[1685].end |
11308.55909375 |
transcript.pyannote[1686].speaker |
SPEAKER_03 |
transcript.pyannote[1686].start |
11309.14971875 |
transcript.pyannote[1686].end |
11346.62909375 |
transcript.pyannote[1687].speaker |
SPEAKER_03 |
transcript.pyannote[1687].start |
11347.08471875 |
transcript.pyannote[1687].end |
11348.28284375 |
transcript.pyannote[1688].speaker |
SPEAKER_03 |
transcript.pyannote[1688].start |
11348.29971875 |
transcript.pyannote[1688].end |
11350.05471875 |
transcript.pyannote[1689].speaker |
SPEAKER_03 |
transcript.pyannote[1689].start |
11351.96159375 |
transcript.pyannote[1689].end |
11355.84284375 |
transcript.pyannote[1690].speaker |
SPEAKER_03 |
transcript.pyannote[1690].start |
11356.77096875 |
transcript.pyannote[1690].end |
11358.98159375 |
transcript.pyannote[1691].speaker |
SPEAKER_03 |
transcript.pyannote[1691].start |
11359.90971875 |
transcript.pyannote[1691].end |
11365.63034375 |
transcript.pyannote[1692].speaker |
SPEAKER_03 |
transcript.pyannote[1692].start |
11366.54159375 |
transcript.pyannote[1692].end |
11368.60034375 |
transcript.pyannote[1693].speaker |
SPEAKER_03 |
transcript.pyannote[1693].start |
11369.47784375 |
transcript.pyannote[1693].end |
11370.37221875 |
transcript.pyannote[1694].speaker |
SPEAKER_03 |
transcript.pyannote[1694].start |
11370.91221875 |
transcript.pyannote[1694].end |
11384.22659375 |
transcript.pyannote[1695].speaker |
SPEAKER_03 |
transcript.pyannote[1695].start |
11384.91846875 |
transcript.pyannote[1695].end |
11389.32284375 |
transcript.pyannote[1696].speaker |
SPEAKER_03 |
transcript.pyannote[1696].start |
11389.84596875 |
transcript.pyannote[1696].end |
11396.79846875 |
transcript.pyannote[1697].speaker |
SPEAKER_03 |
transcript.pyannote[1697].start |
11397.52409375 |
transcript.pyannote[1697].end |
11398.36784375 |
transcript.pyannote[1698].speaker |
SPEAKER_03 |
transcript.pyannote[1698].start |
11398.75596875 |
transcript.pyannote[1698].end |
11398.85721875 |
transcript.pyannote[1699].speaker |
SPEAKER_03 |
transcript.pyannote[1699].start |
11399.09346875 |
transcript.pyannote[1699].end |
11399.98784375 |
transcript.pyannote[1700].speaker |
SPEAKER_03 |
transcript.pyannote[1700].start |
11400.52784375 |
transcript.pyannote[1700].end |
11401.43909375 |
transcript.pyannote[1701].speaker |
SPEAKER_03 |
transcript.pyannote[1701].start |
11402.31659375 |
transcript.pyannote[1701].end |
11403.66659375 |
transcript.pyannote[1702].speaker |
SPEAKER_03 |
transcript.pyannote[1702].start |
11404.34159375 |
transcript.pyannote[1702].end |
11414.21346875 |
transcript.pyannote[1703].speaker |
SPEAKER_03 |
transcript.pyannote[1703].start |
11414.55096875 |
transcript.pyannote[1703].end |
11415.39471875 |
transcript.pyannote[1704].speaker |
SPEAKER_03 |
transcript.pyannote[1704].start |
11419.25909375 |
transcript.pyannote[1704].end |
11420.62596875 |
transcript.pyannote[1705].speaker |
SPEAKER_03 |
transcript.pyannote[1705].start |
11421.75659375 |
transcript.pyannote[1705].end |
11426.12721875 |
transcript.pyannote[1706].speaker |
SPEAKER_03 |
transcript.pyannote[1706].start |
11426.65034375 |
transcript.pyannote[1706].end |
11427.71346875 |
transcript.pyannote[1707].speaker |
SPEAKER_03 |
transcript.pyannote[1707].start |
11428.16909375 |
transcript.pyannote[1707].end |
11430.44721875 |
transcript.pyannote[1708].speaker |
SPEAKER_03 |
transcript.pyannote[1708].start |
11431.07159375 |
transcript.pyannote[1708].end |
11456.80596875 |
transcript.pyannote[1709].speaker |
SPEAKER_03 |
transcript.pyannote[1709].start |
11458.47659375 |
transcript.pyannote[1709].end |
11460.41721875 |
transcript.pyannote[1710].speaker |
SPEAKER_03 |
transcript.pyannote[1710].start |
11462.12159375 |
transcript.pyannote[1710].end |
11466.69471875 |
transcript.pyannote[1711].speaker |
SPEAKER_03 |
transcript.pyannote[1711].start |
11469.31034375 |
transcript.pyannote[1711].end |
11470.37346875 |
transcript.pyannote[1712].speaker |
SPEAKER_03 |
transcript.pyannote[1712].start |
11472.58409375 |
transcript.pyannote[1712].end |
11475.04784375 |
transcript.pyannote[1713].speaker |
SPEAKER_03 |
transcript.pyannote[1713].start |
11475.13221875 |
transcript.pyannote[1713].end |
11478.08534375 |
transcript.pyannote[1714].speaker |
SPEAKER_03 |
transcript.pyannote[1714].start |
11479.65471875 |
transcript.pyannote[1714].end |
11482.72596875 |
transcript.pyannote[1715].speaker |
SPEAKER_03 |
transcript.pyannote[1715].start |
11484.14346875 |
transcript.pyannote[1715].end |
11486.23596875 |
transcript.pyannote[1716].speaker |
SPEAKER_03 |
transcript.pyannote[1716].start |
11486.48909375 |
transcript.pyannote[1716].end |
11495.06159375 |
transcript.pyannote[1717].speaker |
SPEAKER_03 |
transcript.pyannote[1717].start |
11496.29346875 |
transcript.pyannote[1717].end |
11514.50159375 |
transcript.pyannote[1718].speaker |
SPEAKER_03 |
transcript.pyannote[1718].start |
11515.10909375 |
transcript.pyannote[1718].end |
11516.91471875 |
transcript.pyannote[1719].speaker |
SPEAKER_03 |
transcript.pyannote[1719].start |
11517.64034375 |
transcript.pyannote[1719].end |
11519.04096875 |
transcript.pyannote[1720].speaker |
SPEAKER_03 |
transcript.pyannote[1720].start |
11519.56409375 |
transcript.pyannote[1720].end |
11523.64784375 |
transcript.pyannote[1721].speaker |
SPEAKER_03 |
transcript.pyannote[1721].start |
11524.28909375 |
transcript.pyannote[1721].end |
11524.81221875 |
transcript.pyannote[1722].speaker |
SPEAKER_03 |
transcript.pyannote[1722].start |
11526.31409375 |
transcript.pyannote[1722].end |
11528.01846875 |
transcript.pyannote[1723].speaker |
SPEAKER_03 |
transcript.pyannote[1723].start |
11528.38971875 |
transcript.pyannote[1723].end |
11532.05159375 |
transcript.pyannote[1724].speaker |
SPEAKER_03 |
transcript.pyannote[1724].start |
11533.13159375 |
transcript.pyannote[1724].end |
11541.55221875 |
transcript.pyannote[1725].speaker |
SPEAKER_03 |
transcript.pyannote[1725].start |
11542.44659375 |
transcript.pyannote[1725].end |
11543.25659375 |
transcript.pyannote[1726].speaker |
SPEAKER_03 |
transcript.pyannote[1726].start |
11544.37034375 |
transcript.pyannote[1726].end |
11546.41221875 |
transcript.pyannote[1727].speaker |
SPEAKER_03 |
transcript.pyannote[1727].start |
11546.71596875 |
transcript.pyannote[1727].end |
11549.95596875 |
transcript.pyannote[1728].speaker |
SPEAKER_03 |
transcript.pyannote[1728].start |
11550.61409375 |
transcript.pyannote[1728].end |
11553.34784375 |
transcript.pyannote[1729].speaker |
SPEAKER_03 |
transcript.pyannote[1729].start |
11553.88784375 |
transcript.pyannote[1729].end |
11562.84846875 |
transcript.pyannote[1730].speaker |
SPEAKER_03 |
transcript.pyannote[1730].start |
11563.92846875 |
transcript.pyannote[1730].end |
11565.24471875 |
transcript.pyannote[1731].speaker |
SPEAKER_03 |
transcript.pyannote[1731].start |
11565.95346875 |
transcript.pyannote[1731].end |
11567.03346875 |
transcript.pyannote[1732].speaker |
SPEAKER_03 |
transcript.pyannote[1732].start |
11567.18534375 |
transcript.pyannote[1732].end |
11572.73721875 |
transcript.pyannote[1733].speaker |
SPEAKER_03 |
transcript.pyannote[1733].start |
11574.28971875 |
transcript.pyannote[1733].end |
11576.70284375 |
transcript.pyannote[1734].speaker |
SPEAKER_03 |
transcript.pyannote[1734].start |
11578.01909375 |
transcript.pyannote[1734].end |
11579.57159375 |
transcript.pyannote[1735].speaker |
SPEAKER_03 |
transcript.pyannote[1735].start |
11580.07784375 |
transcript.pyannote[1735].end |
11582.10284375 |
transcript.pyannote[1736].speaker |
SPEAKER_03 |
transcript.pyannote[1736].start |
11582.38971875 |
transcript.pyannote[1736].end |
11585.47784375 |
transcript.pyannote[1737].speaker |
SPEAKER_03 |
transcript.pyannote[1737].start |
11587.03034375 |
transcript.pyannote[1737].end |
11589.73034375 |
transcript.pyannote[1738].speaker |
SPEAKER_03 |
transcript.pyannote[1738].start |
11589.96659375 |
transcript.pyannote[1738].end |
11591.40096875 |
transcript.pyannote[1739].speaker |
SPEAKER_03 |
transcript.pyannote[1739].start |
11592.07596875 |
transcript.pyannote[1739].end |
11593.96596875 |
transcript.pyannote[1740].speaker |
SPEAKER_03 |
transcript.pyannote[1740].start |
11594.62409375 |
transcript.pyannote[1740].end |
11596.14284375 |
transcript.pyannote[1741].speaker |
SPEAKER_03 |
transcript.pyannote[1741].start |
11597.29034375 |
transcript.pyannote[1741].end |
11612.29221875 |
transcript.pyannote[1742].speaker |
SPEAKER_03 |
transcript.pyannote[1742].start |
11612.98409375 |
transcript.pyannote[1742].end |
11614.45221875 |
transcript.pyannote[1743].speaker |
SPEAKER_03 |
transcript.pyannote[1743].start |
11614.97534375 |
transcript.pyannote[1743].end |
11617.72596875 |
transcript.pyannote[1744].speaker |
SPEAKER_03 |
transcript.pyannote[1744].start |
11618.33346875 |
transcript.pyannote[1744].end |
11619.71721875 |
transcript.pyannote[1745].speaker |
SPEAKER_03 |
transcript.pyannote[1745].start |
11620.07159375 |
transcript.pyannote[1745].end |
11621.80971875 |
transcript.pyannote[1746].speaker |
SPEAKER_03 |
transcript.pyannote[1746].start |
11623.46346875 |
transcript.pyannote[1746].end |
11628.52596875 |
transcript.pyannote[1747].speaker |
SPEAKER_03 |
transcript.pyannote[1747].start |
11630.85471875 |
transcript.pyannote[1747].end |
11637.45284375 |
transcript.pyannote[1748].speaker |
SPEAKER_03 |
transcript.pyannote[1748].start |
11638.31346875 |
transcript.pyannote[1748].end |
11644.42221875 |
transcript.pyannote[1749].speaker |
SPEAKER_03 |
transcript.pyannote[1749].start |
11645.46846875 |
transcript.pyannote[1749].end |
11648.16846875 |
transcript.pyannote[1750].speaker |
SPEAKER_03 |
transcript.pyannote[1750].start |
11649.78846875 |
transcript.pyannote[1750].end |
11650.75034375 |
transcript.pyannote[1751].speaker |
SPEAKER_03 |
transcript.pyannote[1751].start |
11651.76284375 |
transcript.pyannote[1751].end |
11653.88909375 |
transcript.pyannote[1752].speaker |
SPEAKER_03 |
transcript.pyannote[1752].start |
11654.31096875 |
transcript.pyannote[1752].end |
11662.49534375 |
transcript.pyannote[1753].speaker |
SPEAKER_03 |
transcript.pyannote[1753].start |
11664.31784375 |
transcript.pyannote[1753].end |
11668.40159375 |
transcript.pyannote[1754].speaker |
SPEAKER_03 |
transcript.pyannote[1754].start |
11669.73471875 |
transcript.pyannote[1754].end |
11671.30409375 |
transcript.pyannote[1755].speaker |
SPEAKER_03 |
transcript.pyannote[1755].start |
11671.43909375 |
transcript.pyannote[1755].end |
11675.91096875 |
transcript.pyannote[1756].speaker |
SPEAKER_03 |
transcript.pyannote[1756].start |
11679.10034375 |
transcript.pyannote[1756].end |
11681.47971875 |
transcript.pyannote[1757].speaker |
SPEAKER_03 |
transcript.pyannote[1757].start |
11682.37409375 |
transcript.pyannote[1757].end |
11691.68909375 |
transcript.pyannote[1758].speaker |
SPEAKER_03 |
transcript.pyannote[1758].start |
11692.48221875 |
transcript.pyannote[1758].end |
11695.06409375 |
transcript.pyannote[1759].speaker |
SPEAKER_03 |
transcript.pyannote[1759].start |
11695.51971875 |
transcript.pyannote[1759].end |
11698.70909375 |
transcript.pyannote[1760].speaker |
SPEAKER_03 |
transcript.pyannote[1760].start |
11699.48534375 |
transcript.pyannote[1760].end |
11701.91534375 |
transcript.pyannote[1761].speaker |
SPEAKER_03 |
transcript.pyannote[1761].start |
11702.87721875 |
transcript.pyannote[1761].end |
11724.52784375 |
transcript.pyannote[1762].speaker |
SPEAKER_03 |
transcript.pyannote[1762].start |
11725.37159375 |
transcript.pyannote[1762].end |
11726.68784375 |
transcript.pyannote[1763].speaker |
SPEAKER_03 |
transcript.pyannote[1763].start |
11727.05909375 |
transcript.pyannote[1763].end |
11728.64534375 |
transcript.pyannote[1764].speaker |
SPEAKER_03 |
transcript.pyannote[1764].start |
11729.18534375 |
transcript.pyannote[1764].end |
11749.62096875 |
transcript.pyannote[1765].speaker |
SPEAKER_03 |
transcript.pyannote[1765].start |
11749.95846875 |
transcript.pyannote[1765].end |
11750.65034375 |
transcript.pyannote[1766].speaker |
SPEAKER_03 |
transcript.pyannote[1766].start |
11750.97096875 |
transcript.pyannote[1766].end |
11753.31659375 |
transcript.pyannote[1767].speaker |
SPEAKER_03 |
transcript.pyannote[1767].start |
11761.51784375 |
transcript.pyannote[1767].end |
11762.02409375 |
transcript.pyannote[1768].speaker |
SPEAKER_01 |
transcript.pyannote[1768].start |
11766.04034375 |
transcript.pyannote[1768].end |
11772.45284375 |
transcript.pyannote[1769].speaker |
SPEAKER_01 |
transcript.pyannote[1769].start |
11773.06034375 |
transcript.pyannote[1769].end |
11790.30659375 |
transcript.pyannote[1770].speaker |
SPEAKER_05 |
transcript.pyannote[1770].start |
11790.30659375 |
transcript.pyannote[1770].end |
11792.60159375 |
transcript.pyannote[1771].speaker |
SPEAKER_05 |
transcript.pyannote[1771].start |
11813.96534375 |
transcript.pyannote[1771].end |
11814.03284375 |
transcript.pyannote[1772].speaker |
SPEAKER_05 |
transcript.pyannote[1772].start |
11814.97784375 |
transcript.pyannote[1772].end |
11815.02846875 |
transcript.pyannote[1773].speaker |
SPEAKER_05 |
transcript.pyannote[1773].start |
11816.96909375 |
transcript.pyannote[1773].end |
11817.03659375 |
transcript.pyannote[1774].speaker |
SPEAKER_05 |
transcript.pyannote[1774].start |
11817.96471875 |
transcript.pyannote[1774].end |
11818.63971875 |
transcript.pyannote[1775].speaker |
SPEAKER_05 |
transcript.pyannote[1775].start |
11820.41159375 |
transcript.pyannote[1775].end |
11821.71096875 |
transcript.pyannote[1776].speaker |
SPEAKER_05 |
transcript.pyannote[1776].start |
11823.97221875 |
transcript.pyannote[1776].end |
11824.02284375 |
transcript.pyannote[1777].speaker |
SPEAKER_05 |
transcript.pyannote[1777].start |
11825.67659375 |
transcript.pyannote[1777].end |
11825.76096875 |
transcript.pyannote[1778].speaker |
SPEAKER_05 |
transcript.pyannote[1778].start |
11825.96346875 |
transcript.pyannote[1778].end |
11826.03096875 |
transcript.pyannote[1779].speaker |
SPEAKER_05 |
transcript.pyannote[1779].start |
11833.18596875 |
transcript.pyannote[1779].end |
11833.86096875 |
transcript.pyannote[1780].speaker |
SPEAKER_05 |
transcript.pyannote[1780].start |
11833.96221875 |
transcript.pyannote[1780].end |
11839.68284375 |
transcript.whisperx[0].start |
53.817 |
transcript.whisperx[0].end |
54.637 |
transcript.whisperx[0].text |
嗯嗯嗯嗯 |
transcript.whisperx[1].start |
65.179 |
transcript.whisperx[1].end |
87.995 |
transcript.whisperx[1].text |
響鐘 |
transcript.whisperx[2].start |
142.517 |
transcript.whisperx[2].end |
158.217 |
transcript.whisperx[2].text |
響鐘 |
transcript.whisperx[3].start |
216.22 |
transcript.whisperx[3].end |
216.544 |
transcript.whisperx[3].text |
by bwd6 |
transcript.whisperx[4].start |
774.834 |
transcript.whisperx[4].end |
795.647 |
transcript.whisperx[4].text |
各位同仁大家午安首先代表處裡面歡迎各位同仁來參加今天的自動安全的教育訓練本次的教育訓練最主要是依照自動安全管理法自動安全責任等級分級辦法裡面的規定就是同仁的話就是每年要上一定時數的治安的一個教育訓練的規定來辦理的 |
transcript.whisperx[5].start |
797.508 |
transcript.whisperx[5].end |
820.805 |
transcript.whisperx[5].text |
這次的課程的話我們是請定眼科技有限公司的資安顧問就是林顧問這邊來講授駭客的終極完美武器人工智能大未來的課程林顧問是資安的工程師也是資安的顧問過去在各機關學校都有擔任相關課程的一個講授 |
transcript.whisperx[6].start |
822.822 |
transcript.whisperx[6].end |
847.746 |
transcript.whisperx[6].text |
在上禮拜的話我們有聽林顧問這邊的講授非常的精彩尤其的話他也會帶入一些案例來介紹目前我們治安所遭遇的一些問題希望這三個小時的課程的話大家可以收穫滿滿接下來的話我們就把我們的時間交給我們今天的講師大家掌聲鼓勵一下 |
transcript.whisperx[7].start |
855.018 |
transcript.whisperx[7].end |
881.973 |
transcript.whisperx[7].text |
各位下午安这声音各位听得到吗其实下午不太想太大声因为每次太大声你就不太好睡觉这样子所以用适当的音量来吵吵各位就好了不过应该也有点难因为通常有时候会Q各位各位大概就会醒过来近期的资讯安全跟以前老师说蛮大不同的为什么不同自从有这些AI平台出现就省了我们很多工 |
transcript.whisperx[8].start |
882.873 |
transcript.whisperx[8].end |
904.816 |
transcript.whisperx[8].text |
然後再加上現在還蠻喜歡使用包含說Different的部分去做所謂的換臉或者做所謂的生成所以近期其實有個名詞其實蠻有趣的各位有聽過一個名詞叫數字人嗎知道是什麼東西嗎各位知道外面有很多各位的數字人嗎 |
transcript.whisperx[9].start |
907.174 |
transcript.whisperx[9].end |
931.142 |
transcript.whisperx[9].text |
知道是什么吗就是现在会抓着各位的生物特征去仿制各位然后进行所谓的诈骗诱骗这样子这个其实我觉得未来会有点麻烦所以等一下给各位看一段影片那影片其实还蛮可以让我们去做一个思考这样子可是一开始上课之前我要让各位了解一下各位的资料到底有没有一直往外丢出去 |
transcript.whisperx[10].start |
932.162 |
transcript.whisperx[10].end |
956.26 |
transcript.whisperx[10].text |
以前我們往外丟出去叫個資個資我個人覺得現在都還好可是現在丟的是什麼生物特徵就是你每天去哪裡你的樣子你喜歡什麼東西這些東西其實是跟著我們一輩子的東西我們先來檢查一下看各位有沒有每天一直把自己的資料往外丟怎麼檢查其實很簡單各位身上有手機嗎麻煩各位把你的手機拿起來一下 |
transcript.whisperx[11].start |
957.421 |
transcript.whisperx[11].end |
969.699 |
transcript.whisperx[11].text |
那你跟著我講的地方檢查一下你就知道你的資料有沒有一直往外丟各位請把你最常用的通訊軟體打開一下就是LINE愛情打開一下 |
transcript.whisperx[12].start |
971.365 |
transcript.whisperx[12].end |
995.474 |
transcript.whisperx[12].text |
然后底下有没有看到一个叫主页主页麻烦各位点它一下然后在右上角你会看到一个齿轮的图案齿轮叫做设定请各位点它一下点进设定之后第三个你应该会看到一个叫隐私设定各位有看到麻烦点它一下都点进去了点进去之后麻烦各位先滑到最底下 |
transcript.whisperx[13].start |
996.374 |
transcript.whisperx[13].end |
1008.008 |
transcript.whisperx[13].text |
由下往上数下往上数第4个你会看到一个叫做外部应用程式存取请各位把它点进去这边要是拒绝才是对的 |
transcript.whisperx[14].start |
1010.023 |
transcript.whisperx[14].end |
1037.29 |
transcript.whisperx[14].text |
所以我們已經可以直接結束課程這樣子沒有 我們還是先關來 麻煩各位把它改成拒絕它在做什麼事情我們LINE其實有每天各位的一些操作軌跡 通訊記錄我們手機還有其他的APP會跟它分享資料這其實不是很好的狀態所以麻煩各位先把它改成拒絕改完成拒絕之後各位再點左上角回到上一頁 |
transcript.whisperx[15].start |
1039.07 |
transcript.whisperx[15].end |
1050.657 |
transcript.whisperx[15].text |
然後在外部應用程式存取底下有沒有看到一個叫提供使用資料來嗎一樣點進去這邊所有打開都要關起來特別是第一個叫聊天室資訊對 |
transcript.whisperx[16].start |
1068.109 |
transcript.whisperx[16].end |
1083.783 |
transcript.whisperx[16].text |
聊天室資訊有沒有人今天是第一次關的我先講一下他會做什麼因為我們LINE難免會有一些公務群組很容易造成公務資料外洩各位這樣懂意思可是記得回去宣導一下如果群裡面有一個人沒關還是資料外洩 |
transcript.whisperx[17].start |
1085.48 |
transcript.whisperx[17].end |
1108.767 |
transcript.whisperx[17].text |
這樣懂意思因為我們有很多群有很多群都是會因為這樣子造成資料跑出去的所以把提供使用資料裡面所有全關這些關跟各位正常工人是不影響也不會影響到什麼你LivePay的使用不會所以這邊都關這邊關完了嗎還沒結束還有好幾個要設定來再麻煩回到上一頁 |
transcript.whisperx[18].start |
1110.808 |
transcript.whisperx[18].end |
1125.08 |
transcript.whisperx[18].text |
在提供使用資料底下有沒有看到一個叫廣告相關設定來 馬上點進去如果你裡面兩個功能是打開我個人建議關起來這是什麼呢因為剛才有蒐集到各位你想要什麼現在他就會發廣告推播給你 |
transcript.whisperx[19].start |
1126.862 |
transcript.whisperx[19].end |
1141.461 |
transcript.whisperx[19].text |
這樣懂意思這個其實不好因為現在這些詐騙集團會買廣告會塞到各位的面前各位一不小心就會踩到陷阱所以我個人建議把它關起來關起來就不會再收到那種怪怪的廣告這邊都關完了嗎 |
transcript.whisperx[20].start |
1144.242 |
transcript.whisperx[20].end |
1165.893 |
transcript.whisperx[20].text |
剩下最後一個請回到上一頁在上一頁現在是在設定設定的第二個有沒有看到一個叫我的帳號各位點它一下然後在中間的地方你們應該會看到一個叫連動中的應用程式有沒有各位點進去裡面應該要沒有任何連動中的應用程式才是對的 |
transcript.whisperx[21].start |
1168.614 |
transcript.whisperx[21].end |
1192.181 |
transcript.whisperx[21].text |
有一個就是你的資料會跟他分享所以你自己看一下你有多少個然後我個人建議是這樣子把用不到的不知道他在幹嘛的麻煩各位再點那個APP一下然後拉到最底下你會看到解除連動四個字這個很麻煩是什麼他只能一個一個關所以各位如果沒在用的你要一個一個解除這樣子 |
transcript.whisperx[22].start |
1195.245 |
transcript.whisperx[22].end |
1217.798 |
transcript.whisperx[22].text |
所以各位都有在用只能提供給他資料而已像我個人習慣是都把它解除掉各位可能會看到裡面有一些跟銀行相關的有沒有其實他就是發交易通知給你你可以自己思考一下我個人建議是把沒在用的特別是不知道他在幹嘛的那個我建議就把它關掉了 |
transcript.whisperx[23].start |
1220.416 |
transcript.whisperx[23].end |
1246.767 |
transcript.whisperx[23].text |
所以各位都關完了還在關各位到底是有多少個打開二三十個那我跟各位分享一下在一陣子再過來之後你還是會這麼多個因為現在只要外面什麼加入好友或者裝一個新的APP就會再跑進來一次所以這個會一直跑進來除非你的手機平常沒有什麼在異動就是比如說沒有在裝東西沒有在加入好友要不然這會一直跑進來這樣OK |
transcript.whisperx[24].start |
1250.65 |
transcript.whisperx[24].end |
1268.988 |
transcript.whisperx[24].text |
可是我覺得各位中毒已深了怎麼辦要不要再來查一下各位是不是最糟糕的那個人我讓給你查一下一個東西就知道了來 這邊各位有空的時候再解除因為有時候你還要判斷哪些是不是要用然後我先讓各位了解一下你現在是不是最嚴重的那個人 |
transcript.whisperx[25].start |
1270.689 |
transcript.whisperx[25].end |
1285.059 |
transcript.whisperx[25].text |
我讲的严重是你们家现在在哪里都已经被摸透了这样懂意思这个现在要怎么试很简单来 各位把你的手机打开你最常用的地图 |
transcript.whisperx[26].start |
1287.08 |
transcript.whisperx[26].end |
1309.711 |
transcript.whisperx[26].text |
比如说你是用 google map麻烦就把你的 google map 打开然后在上面输入的地方吗各位打回家或者讲回家两个字那你看一下他会不会自己导回家如果你没有设定他自己现在已经会帮你导回家那是一个很可怕的状态各位听得懂我讲意思你就讲回家如果他已经导回家了有没有那个是最糟糕的 |
transcript.whisperx[27].start |
1312.233 |
transcript.whisperx[27].end |
1330.465 |
transcript.whisperx[27].text |
因为你每天出门的记录啊几点几分在哪边出摸器他都知道了那他已经把把那个记录记录下来了啊这其实不好这样可以吗那各位知道这个如果真的会倒回家这时候要怎么办知道吗要怎么解决这个问题知道吗换一个家 |
transcript.whisperx[28].start |
1336.308 |
transcript.whisperx[28].end |
1350.242 |
transcript.whisperx[28].text |
這個真的很麻煩因為我們以前所著重的跟現在著重不太一樣大概近十幾年所有網路平台在收集就已經不是收集個資都是收集這種使用者的軌跡這樣可以 |
transcript.whisperx[29].start |
1354.863 |
transcript.whisperx[29].end |
1379.924 |
transcript.whisperx[29].text |
各位看起來都還在關關的有點久你有沒有覺得他很討厭為什麼不能一次全選關掉有沒有真的不行他真的只能一支一支點我都試過就點一支關一支點一支關一支這樣他沒有辦法選全部來沒關係各位邊關我順便再爆一個料好了順便讓各位知道外面有些東西還是不要亂加各位有加入任何超商的會員了嗎 |
transcript.whisperx[30].start |
1382.458 |
transcript.whisperx[30].end |
1400.366 |
transcript.whisperx[30].text |
各位都加的太早了你知道我觉得各位很难救我把整段讲完之后你再自己看以后要怎么办各位去超商买东西的时候仔细注意像结账柜台的后面电视电视上面的框上通常会有镜头拍各位你几岁买了什么东西各位知道吗 |
transcript.whisperx[31].start |
1402.331 |
transcript.whisperx[31].end |
1421.159 |
transcript.whisperx[31].text |
這個不是新聞這個已經做很久了外面不是只有那個電視有時候那個廣告牆上面也會有鏡頭拍各位那因為疫情之後其實很多人出門難免會戴口罩所以他那個鏡頭識別率是下降的可是他又想要知道你想要買什麼東西所以他就讓各位加入會員 |
transcript.whisperx[32].start |
1422.95 |
transcript.whisperx[32].end |
1441.415 |
transcript.whisperx[32].text |
那加入會員有沒有發現一件事情就是在辦公室附近的便利商店跟家裡附近便利商店賣的東西其實不太一樣應該有發現那更可怕的是什麼各位的手機還會裝他的APP你每天操作想要什麼東西他都知道所以那個超商當沒有檔期的時候他就會自己開一個檔期出來 |
transcript.whisperx[33].start |
1442.775 |
transcript.whisperx[33].end |
1461.924 |
transcript.whisperx[33].text |
就隨便念一個數字有沒有那就檔期出來這樣子其實都是透過各位平常這些操作的習慣然後跟他做分享這樣子我還是講一下加入會員可以可是有個小技巧各位可能要稍微注意一下當店員問你會員電話號碼各位這時候是怎麼給他的 |
transcript.whisperx[34].start |
1467.795 |
transcript.whisperx[34].end |
1495.015 |
transcript.whisperx[34].text |
拜托不要再直接爆了因为我每次站在别人后面结账的时候我都觉得听到对方的电话真的不太好各位知道我有你的电话我已经可以跟你做任何IM的连在一起比如说LINE连在一起或什么的然后再来就仿制然后丢给你这样子所以我个人建议因为现在他们也知道有这件事情所以现在有两种做法一种是你手机直接给他扫扣APP可以给他那个 |
transcript.whisperx[35].start |
1496.616 |
transcript.whisperx[35].end |
1515.007 |
transcript.whisperx[35].text |
類似QR Code這樣給他掃這是一種第二種自己用按的他那台底下可以用按的自己按不要講出來講出來現在不太好這是我個人比較建議的部分所以這樣可以等一下就讓各位看一下什麼叫數字冷產生器然後跟目前AI的一些使用 |
transcript.whisperx[36].start |
1516.448 |
transcript.whisperx[36].end |
1534.121 |
transcript.whisperx[36].text |
那這段影片我讓各位看一下這段影片其實我看完的時候哇真的跟我以前推想一模一樣那我給各位看這段是什麼影片這是一個小女孩可是她先仿成18歲去申請所有的資訊哦 |
transcript.whisperx[37].start |
1547.897 |
transcript.whisperx[37].end |
1548.76 |
transcript.whisperx[37].text |
哈哈哈哈 |
transcript.whisperx[38].start |
1577.927 |
transcript.whisperx[38].end |
1600.239 |
transcript.whisperx[38].text |
Hey Mom, Hey DadIt's me, EllaWell, a digital version of meJust a bit olderAmazing what technology can do these days, isn't it?All you need are a couple of picturesLike the ones you share on social mediaWhere they can be taken and usedBy everybody |
transcript.whisperx[39].start |
1603.417 |
transcript.whisperx[39].end |
1609.731 |
transcript.whisperx[39].text |
我知道这些照片对你来说只是回忆但对其他人来说他们只是数据而对我来说 |
transcript.whisperx[40].start |
1611.789 |
transcript.whisperx[40].end |
1627.634 |
transcript.whisperx[40].text |
也許是一開始糟糕的未來未來,我的身份可以被盜竊就像這樣我可以去牢獄做事情我從來都不會做的事情想像我爸爸被破壞的信息數字或者我媽媽的聲音被複製來騙你媽媽,我受到麻煩了我需要你給我錢,拜託我不想變成一個…一個謎語學校的所有人都會欺負我殺死自己,你這個混蛋 |
transcript.whisperx[41].start |
1644.94 |
transcript.whisperx[41].end |
1650.023 |
transcript.whisperx[41].text |
我絕對不想…這個你在網上分享的東西就像是一張電子圖片它會跟著我一輩子的生活我告訴你這是因為我知道你愛我你永遠不會做任何事情來傷害我所以請媽 請爸爸 |
transcript.whisperx[42].start |
1674.36 |
transcript.whisperx[42].end |
1698.585 |
transcript.whisperx[42].text |
Protect my virtual privacy後面還有一段一小段我就不往後播其實這個是現在的一個實務狀態就是很多家長可能在小朋友成長的時候覺得這是小朋友成長紀錄 |
transcript.whisperx[43].start |
1700.285 |
transcript.whisperx[43].end |
1724.721 |
transcript.whisperx[43].text |
可是在網路上現在已經有非常多的一些狀態是什麼我抓著這些記錄就可以來做所謂的深圍或者是像上面這影片的部分明明就是一個小朋友我把他變成是18歲以後的樣子然後去做一些包含說他申請一些Credit Card或什麼這其實已經是目前在發生的狀態台灣地區這兩年我覺得更可怕的狀態是什麼 |
transcript.whisperx[44].start |
1726.002 |
transcript.whisperx[44].end |
1749.17 |
transcript.whisperx[44].text |
已经很多诈骗集团用深微的message在结合网路上叫做社工库去找我们周遭的一些资料然后利用这些资料对我们发动一些讯息当然这些讯息现在以目前的识别方式老实说以我自己在看它的一些发展状态越来越难识别 |
transcript.whisperx[45].start |
1750.59 |
transcript.whisperx[45].end |
1767.975 |
transcript.whisperx[45].text |
越來越難我們會想說目前是不是有一些方法我們等一下來看一下是不是有些方法可以去做一些識別我們先看一下目前的一些科技進展這種科技進展我覺得最有趣的狀態是什麼都不是環部成長都是用跳的 |
transcript.whisperx[46].start |
1769.275 |
transcript.whisperx[46].end |
1790.16 |
transcript.whisperx[46].text |
我們看前幾個第一個是AI的大型語言的部分這其實是LM的部分以前的部分在AI發展其實如果從IT的角度開始看其實大概從1950年代其實就在講AI一直講到現在還在講AI只是說以前的AI比較偏向所謂的專家知識庫 |
transcript.whisperx[47].start |
1792.7 |
transcript.whisperx[47].end |
1813.264 |
transcript.whisperx[47].text |
所以你給他的問題只能是那個知識庫裡面的答案提問要不然他出來的結果會蠻有趣的目前其實什麼你可以去訓練他訓練他讓他去達到一些你想要的一些狀態的部分第二個這個也是近期一直在提的就是所謂的量子技術的部分各位有聽過量子電腦嗎各位覺得這東西離各位近還是遠 |
transcript.whisperx[48].start |
1819.958 |
transcript.whisperx[48].end |
1834.488 |
transcript.whisperx[48].text |
聽起來好像科幻片沒有其實離各位還蠻近的而且我覺得大概三五年內應該會有成熟製程就會直接到各位的面前各位把想像一下之後只要用到所有之後所有有需要用到運算的大概都被血洗一亂 |
transcript.whisperx[49].start |
1835.268 |
transcript.whisperx[49].end |
1856.818 |
transcript.whisperx[49].text |
就包含說我們密碼保護方式大概就沒有用了因為這種計算方式是下一個不能用同一階去看已經跳到下一階這等一下我可以帶給各位大家看一下第三個是什麼就是說目前其實這種AI生成部分蠻簡單的比如說生成圖片影片的部分有一些訊息的部分像剛才看到那影片你也不知道到底是真還是假 |
transcript.whisperx[50].start |
1857.518 |
transcript.whisperx[50].end |
1876.934 |
transcript.whisperx[50].text |
可是我现在在研究有一个蛮吊诡的状态就是当错的资料在网路上没有人校正没有人校对到最后其实会变成对的这是目前其实我觉得一个很麻烦的一个状态后面几个我就不讲这其实是目前的Top10的部分 |
transcript.whisperx[51].start |
1877.854 |
transcript.whisperx[51].end |
1887.959 |
transcript.whisperx[51].text |
今年科技的部分這三個是目前發展我覺得算蠻快的包含說後量子密碼學這邊考個一下各位有沒有覺得記密碼很討厭什麼樣記密碼的方式是最好的考個一下記密碼很討厭所以用什麼樣的方式記密碼是最好的 |
transcript.whisperx[52].start |
1904.444 |
transcript.whisperx[52].end |
1908.647 |
transcript.whisperx[52].text |
不是可以再想一下不是不是不是好來直接跟各位講不對我應該問各位一個問題才知道各位頻率現在到底跟我合不合好我先問前一個問題好了請問各位密碼最怕什麼 |
transcript.whisperx[53].start |
1924.918 |
transcript.whisperx[53].end |
1936.197 |
transcript.whisperx[53].text |
对密密码怕忘记对密码怕忘记忘记你就跟没有密码是一样的所以最好的密码怎么样去记录就是不要有密码 |
transcript.whisperx[54].start |
1937.901 |
transcript.whisperx[54].end |
1959.514 |
transcript.whisperx[54].text |
我沒有在露口令那個其實現在在推那個叫零信任零信任其實就是不要有密碼用Double Confirm的方式各位想想這到底是什麼東西各位有沒有發現你有時候在電腦要登Google他跟你講說手機那個YouTuber打開戳一下你要戳一下或者點什麼數字那個方式其實就是類零信任 |
transcript.whisperx[55].start |
1960.234 |
transcript.whisperx[55].end |
1978.209 |
transcript.whisperx[55].text |
所以以后其实用记忆密码这件事情其实会慢慢被洗掉这慢慢就会改变这样子可是最有趣的是量子计算量子计算我等一下用图让各位比较快速了解第二个是多功能机器人各位在外面有看过哪一些多功能的机器人吗让你觉得非常有趣的 |
transcript.whisperx[56].start |
1982.58 |
transcript.whisperx[56].end |
1990.274 |
transcript.whisperx[56].text |
都沒看過嗎各位去餐廳應該有看過吧就是有那個送餐機器人不是在那邊跑出來嗎那各位有玩過那台送餐機器人嗎也都不會玩那 |
transcript.whisperx[57].start |
1994.679 |
transcript.whisperx[57].end |
2020.892 |
transcript.whisperx[57].text |
怎麼玩 我教你我們家有三個小朋友然後之前帶去育龍城的時候那個機器人跑出來有沒有他們三個就給他圍住不讓他動你知道不讓他動就是因為他碰到人會偵測你知道他就不知道要轉哪裡你知道然後我們小朋友還很壞手指頭會去戳他的臉就那個螢幕戳戳戳結果讓他戳到那個Power off鍵然後他就給他按關機他就停在那裡不會動就我們家小朋友會做這些事情 |
transcript.whisperx[58].start |
2022.052 |
transcript.whisperx[58].end |
2050.254 |
transcript.whisperx[58].text |
那這個機器人基本上各位把他想像一下以後如果他變成是人形的可以跨場域有沒有相信我以後陪你的不會是你的小朋友了就是那台機器人以後叫陪伴機器人各位懂我意思嗎我覺得這也蠻快的啦因為現在其實有很多人那個養毛小孩的時候你沒辦法照顧他的時候都會買那個什麼感測Sensor或者是那個CCTV嘛那有的有腳嘛你還可以跟他講話以後大概就會變成這樣子 |
transcript.whisperx[59].start |
2051.395 |
transcript.whisperx[59].end |
2073.493 |
transcript.whisperx[59].text |
第三個是虛假的資安這其實就對到剛才講的叫做數字人這件事情我先讓各位了解一下未來科技到底會跳到什麼階段各位略懂略懂就好所謂的量子計算跟傳統計算的一個差異各位知道目前台積電最新是幾奈米的製程嗎 |
transcript.whisperx[60].start |
2076.314 |
transcript.whisperx[60].end |
2080.539 |
transcript.whisperx[60].text |
量產是2奈米實際上實驗室是1點多好像是1.6還1.8那考個一下1之後再來 |
transcript.whisperx[61].start |
2087.987 |
transcript.whisperx[61].end |
2114.233 |
transcript.whisperx[61].text |
各位不要說有0點多 沒有因為要換材料了那個材料的極限是1就是各位大概有個印象這樣就好了我們電腦的運算各位應該都知道不是0就是1對不對所以其實是像這樣子各位左邊這張圖其實就是傳統電腦運算方式它其實看待比較像什麼比較像平面不是正面就是反面 |
transcript.whisperx[62].start |
2115.333 |
transcript.whisperx[62].end |
2133.954 |
transcript.whisperx[62].text |
然後去組合起來這樣子然後再加上目前的晶片運算速度這樣子然後後期他們用疊加疊加的技術把它就是在有限空間裡面然後可以疊幾層其實還是算運算速度可是量子電腦的運算就不是0跟1它比較像是立體的概念 |
transcript.whisperx[63].start |
2135.235 |
transcript.whisperx[63].end |
2157.693 |
transcript.whisperx[63].text |
覺得極接近0跟極接近任何地方都可以有組合所以它變成是N的N次方原本的傳統電腦其實它基底就是01是22的N次方所以再怎麼算其實到量子的時候就會跳到下一個階段其實是不同維度的概念各位這樣聽得懂 |
transcript.whisperx[64].start |
2159.074 |
transcript.whisperx[64].end |
2176.329 |
transcript.whisperx[64].text |
各位不要覺得這個好像離各位很遠沒有 這很近這非常的近你把它想像一下之後所有需要運到運算的全部都跳到下一階去了不是一階一階跑是直接跳到下一階去這是非常有趣的狀態這樣子有感覺嗎還是沒有 我還是講得很抽象 |
transcript.whisperx[65].start |
2181.496 |
transcript.whisperx[65].end |
2202.092 |
transcript.whisperx[65].text |
我讲一下一个更抽象的东西好了我们家小朋友都国小我觉得我教要教三次有点累我都教他们自学然后我们家有一个小一生小二的然后这次暑假各位猜看看我教他自学什么猜看看 |
transcript.whisperx[66].start |
2208.737 |
transcript.whisperx[66].end |
2235.4 |
transcript.whisperx[66].text |
智學啦智學可以叫他智學什麼沒有我就是叫他那個智學量子力學你會想說你是在虐待小朋友嗎我告訴你不是喔我是刻意試來我教各位因為現在很多平台真的還蠻好蠻好教小朋友的啦第一個你先去那個YT上面找針對量子力學講得還不錯的頻道 |
transcript.whisperx[67].start |
2236.221 |
transcript.whisperx[67].end |
2253.958 |
transcript.whisperx[67].text |
那你教他看他一定看不懂所以這什麼怎麼做呢把那個頻道丟到某一個平台上可以去轉所謂的新製圖他會把那個影片載進去轉新製圖那轉完新製圖之後你再把那個新製圖丟到ChurchGPT教他以國小二年級的方式去解釋這個新製圖給他聽 |
transcript.whisperx[68].start |
2256.721 |
transcript.whisperx[68].end |
2271.049 |
transcript.whisperx[68].text |
然後聽完之後產測驗體讓小朋友測驗假設實體他只對5題對不對另外錯的5題重新教學再重新產測驗體三輪他就知道什麼叫量子力學這樣各位會教小朋友嗎 |
transcript.whisperx[69].start |
2275.791 |
transcript.whisperx[69].end |
2301.113 |
transcript.whisperx[69].text |
你不会这样虐待他我是试看看这样到底行不行结果我发现可以现在平台很多这样懂意思要会用一些工具这等下也会是课程的一个重点就教各位使用工具我们先把前面这段先把它讲完你就知道以后需要使用到运算的就会跳到下一阶这个差别在哪里我直接讲一个最明显的 |
transcript.whisperx[70].start |
2302.294 |
transcript.whisperx[70].end |
2323.494 |
transcript.whisperx[70].text |
因為最近我看到那個165有一個那個宣導的廣告然後是叫一個那個明星拍的就是他的小孩跟他講說要匯錢這樣子身為啦身為成他小孩的樣子然後他就教他說你左邊轉一下右邊轉一下上面看一下下面看一下這樣子是要去看那個轉換的時候會造成那個影像的破格 |
transcript.whisperx[71].start |
2325.391 |
transcript.whisperx[71].end |
2350.801 |
transcript.whisperx[71].text |
這樣可以可是我跟各位分享以今年技術什麼上下左右轉手這樣子揮不會破格各位聽得懂嗎所以你不要覺得他這樣揮怎麼沒有破格這就是真的其實都是假的現在已經完全不會破格就是你看到會有點像剛才各位看到影片有點怪怪的有沒有現在完全不會現在技術是不會所以還是有一點點落差 |
transcript.whisperx[72].start |
2352.324 |
transcript.whisperx[72].end |
2374.023 |
transcript.whisperx[72].text |
那這種身為其實已經很久了這個第一代當時候有鬧過一個新聞事件各位還記得以前有個網紅叫做小玉嗎N年前 很久很久以前然後他不是就是把A跟B換臉嗎那已經是很久很久的技術了那現在呢 現在是不用 |
transcript.whisperx[73].start |
2375.47 |
transcript.whisperx[73].end |
2400.53 |
transcript.whisperx[73].text |
只要有各位的照片我就可以让那张照片讲话甚至可以有各位的声音之后我可以让那张照片讲出不该讲的话可是是你的声音这其实目前来讲都是很简单就做得到的以前我们比较care是个资外泄其实现在个资外泄这一段我觉得是还好可是你平常的一些轨迹这些是比较麻烦的一个状态 |
transcript.whisperx[74].start |
2401.45 |
transcript.whisperx[74].end |
2418.839 |
transcript.whisperx[74].text |
我們平常在交易完之後大概是低於一個小時就會開始收到這種詐騙訊息有時候是非常非常快以我自己處理這些事件的部分在看你很難發現是從哪一個環節調資料的有時候是端木我們自己環境上 |
transcript.whisperx[75].start |
2419.979 |
transcript.whisperx[75].end |
2442.658 |
transcript.whisperx[75].text |
有时候可能是电商平台或者电商后面的物流业者这其实就环环相扣了很难去抓说到底是哪一个环节造成的到我们user面前最麻烦的地方都是已经开始收到讯息讯息你要去识别难度其实相对就变高了我们最常收到讯息的几个管道第一个叫电话 |
transcript.whisperx[76].start |
2443.719 |
transcript.whisperx[76].end |
2466.499 |
transcript.whisperx[76].text |
第二个就是所谓的IM的平台比方说你的Instagram Facebook或者是LINE的部分第三个叫做简讯的部分目前其实收到讯息比较多的慢慢往上串其实是在第二个就是所谓IM平台的部分这个其实是目前很难避免的一个状态简讯的部分现在也可以利用AI生成假的简讯 |
transcript.whisperx[77].start |
2468.197 |
transcript.whisperx[77].end |
2491.764 |
transcript.whisperx[77].text |
谈到各位的面前我直接讲什么需要注意就好了简讯收没有问题简讯有连结的不要戳这样懂意思有连结不要戳我分享一下我们家的惨案好了我们家什么案例都讲过都遇过我有一个特色就是我在外面常常宣导这种资讯安全的议题可是回家都不会跟另外一半讲各位知道为什么吗 |
transcript.whisperx[78].start |
2495.253 |
transcript.whisperx[78].end |
2521.245 |
transcript.whisperx[78].text |
不知道要不然這樣怎麼會有案例跟各位分享案例是要養出來的才有案例這樣只是有時候血淋淋這樣子來 這個案例其實當時候讓我花了三個多月處理這樣我覺得也是滿痛的就是另外一半買東西買東西以他收到的簡訊不宜有他因為簡訊就跟人講說我們貨到通知有連結他就手指頭給他抽下去抽下去當下手機也沒有發生任何異樣 |
transcript.whisperx[79].start |
2522.886 |
transcript.whisperx[79].end |
2549.348 |
transcript.whisperx[79].text |
那什么时候发现异常收到当期信用卡账单的时候才知道有问题被盗刷了被盗刷那各位猜看看单笔被盗刷多少钱看各位猜不猜得中还蛮吓人的金额猜看看猜看看各位其实都没猜中可以往上调一点还离得蛮大一段的 |
transcript.whisperx[80].start |
2552.058 |
transcript.whisperx[80].end |
2579.686 |
transcript.whisperx[80].text |
還差一段我直接講金額好了當時我看信用卡帳單我快暈倒你知道單筆被盜刷兩萬多美金美金然後我把整段講完你就知道哪些環節其實跟各位以前想的不一樣因為當時被盜刷收到帳單第一個先趕快打給客服就標準程序打給客服然後我先問各位各位都有使用過信用卡 |
transcript.whisperx[81].start |
2581.058 |
transcript.whisperx[81].end |
2585.175 |
transcript.whisperx[81].text |
那请问各位你的信用卡额度是3万块最多可以刷多少钱 |
transcript.whisperx[82].start |
2592.112 |
transcript.whisperx[82].end |
2610.749 |
transcript.whisperx[82].text |
我看各位觀念這麼正確我以前跟各位的想法應該是一樣3萬點應該是3萬其實我跟各位分享不是沒有限制可以打電話進去調單筆額度這樣懂意思可以調單筆額度那後來我去查被倒刷買什麼買商務艙機票 |
transcript.whisperx[83].start |
2614.382 |
transcript.whisperx[83].end |
2641.841 |
transcript.whisperx[83].text |
然后我还问那个客服说奇怪金额那么大怎么没有任何通知电话然后客服是回答你你可能在睡觉没有接到电话有可能因为他是国外刷的我们这边可能在睡觉时间是有可能那也就认了那后来我把另外一半的手机拿起来检查了就发现他的手机被装了两个张东西第一个是什么他会去收集各位手机里面有的信用卡资讯 |
transcript.whisperx[84].start |
2643.082 |
transcript.whisperx[84].end |
2657.422 |
transcript.whisperx[84].text |
因为我们手机难免都会有就是会叫车叫餐就是有信用卡卡号在上面第二个我觉得最神奇他会测录各位手机的简讯要考个一下为什么他要测录手机的简讯 |
transcript.whisperx[85].start |
2662.352 |
transcript.whisperx[85].end |
2682.163 |
transcript.whisperx[85].text |
不知道就我们有时候刷卡到最后不是要传一个简讯验证码吗他在测论那个简讯验证码然后再把它转出去那不是说简讯验证码这机制不好而是他的等待时间太久比如说三分钟五分钟地球都不知道转几圈的各位懂意思 |
transcript.whisperx[86].start |
2683.243 |
transcript.whisperx[86].end |
2697.583 |
transcript.whisperx[86].text |
所以他是把驗證碼收到之後轉出去你看所有的那些保護措施全部被破解還是回歸原點各位有連結的手指頭不要亂戳因為這其實很難去避免這件事情 |
transcript.whisperx[87].start |
2699.404 |
transcript.whisperx[87].end |
2727.704 |
transcript.whisperx[87].text |
目前这种攻击就最直接简讯了就跟你有相关发给你这样子又使你去点那个连结我们通常画面看到的那个连结都是短网址你也没有办法去查证实际上他去哪里点下去才知道那都来不及了所以简讯要特别注意一下因为台湾这几年打仗也是蛮凶的所以像上面目前看到第一名的是汇款 |
transcript.whisperx[88].start |
2728.604 |
transcript.whisperx[88].end |
2741.35 |
transcript.whisperx[88].text |
那汇款现在都被限制各位知道9月份现在开始哀鸿遍野各位知道要怎么让你的账户马上被冻结吗我需要教各位很简单你把自己的钱转给自己就马上被冻结 |
transcript.whisperx[89].start |
2743.448 |
transcript.whisperx[89].end |
2756.811 |
transcript.whisperx[89].text |
各位回去可以試看看就這個月開始了你就薪資薪資我不知道為什麼很多銀行是薪資就打炸薪資你就把自己的錢從自己的帳戶轉給自己就被鎖住了各位知道嗎還是各位要去試一下鎖了再去開這樣不要我提醒一下不要就自己轉自己會被鎖 |
transcript.whisperx[90].start |
2777.247 |
transcript.whisperx[90].end |
2791.685 |
transcript.whisperx[90].text |
真的啦各位不相信的没关系实验精神可以手机两个APP互转一下要修啊可是有的还没修啊就是因为iPhone Pen也才要修啊 |
transcript.whisperx[91].start |
2794.548 |
transcript.whisperx[91].end |
2808.72 |
transcript.whisperx[91].text |
非約定可是實際上我覺得我們先看一下好了因為我不確定他是約定還是非約定都會非約定我確定會了約定會不會我不知道 |
transcript.whisperx[92].start |
2819.693 |
transcript.whisperx[92].end |
2838.518 |
transcript.whisperx[92].text |
沒有 這個不是我可以扛錯的我只跟各位提醒一下拜託不要這樣轉會被鎖這個之後會再有點調整因為他們好像是抓那個叫詐騙行為然後自己錢應該不會自己左手轉右手他是抓那個有點轉帳的邏輯一般是不會這樣子 |
transcript.whisperx[93].start |
2843.359 |
transcript.whisperx[93].end |
2852.991 |
transcript.whisperx[93].text |
那跟各位分享一下第一名的慢慢会变少那上面哪一个会变多以各位觉得哪一个会变多 |
transcript.whisperx[94].start |
2856.69 |
transcript.whisperx[94].end |
2874.367 |
transcript.whisperx[94].text |
就是最右边的那个虚拟那一个对那个一定慢慢会变多那这个我觉得比较有趣的状态是什么就是各位在这两年大多被骗的都是投资理财那投资理财最多的都是叫你去买那个虚拟货币 |
transcript.whisperx[95].start |
2875.348 |
transcript.whisperx[95].end |
2890.363 |
transcript.whisperx[95].text |
然后虚拟货币最神奇是有很多虚拟货币你听都没听过然后他就可以去跟你讲说他的投报率是多少这样子这个我就建议各位只要他跟你讲有这些管道就拜托要稍微小心一下那今年上半年各位有玩过这个吗 |
transcript.whisperx[96].start |
2894.369 |
transcript.whisperx[96].end |
2919.338 |
transcript.whisperx[96].text |
我一般都建议各位尽量不要跟风这样跟风总是会跟到不好的风这样子我也不知道各位跟对还跟错这样这已经过时了现在是那个 AI 模型一阵子会有个新的一阵子会有个新的那你要玩没问题其实他的标准是到 CheckGPT 上然后输入上面红色这一串然后图他就可以把你把原本的图转成那个吉普利风格好他就直接转 |
transcript.whisperx[97].start |
2920.578 |
transcript.whisperx[97].end |
2946.526 |
transcript.whisperx[97].text |
當然玩沒有問題可是我最怕什麼就是跟錯風因為網路也有很多假的像這就假的所以你在玩的時候其實就會操作錯所以還是要特別注意一下因為目前網路上有很多這種深層的平台或者是APP的部分它其實本身後面都有一些問題這個稍微小心一下另外一個是這個當時候其實很多人丟的都是自己的照片 |
transcript.whisperx[98].start |
2949.985 |
transcript.whisperx[98].end |
2978.704 |
transcript.whisperx[98].text |
那個剛才影片才講自己的照片盡量不要丟所以如果你在操作的時候應該發現一件事情CheckGPT其實沒有不care各位的個人的隱私所以CheckGPT你丟照片是丟得上去的可是有些平台你丟自己的照片其實丟不上去他跟你講說那個隱私基本上他是比較care的所以你是不能丟自己的照片這樣可以所以拜託操作還是小心一下如果真的要玩知道要怎麼玩嗎 |
transcript.whisperx[99].start |
2980.285 |
transcript.whisperx[99].end |
3006.267 |
transcript.whisperx[99].text |
你丢隔壁的照片隔壁丢你的照片互相抵消这样就不要自己丢自己的就对了反正这个稍微注意一下外面基本上是这样就是以目前如果各位走在路上应该会发现有很多的感测sensor在收集各位的资讯然后如果以各位身上的线可以帮各位标颜色各位身上的线通常不会只有一条线会有很多条线 |
transcript.whisperx[100].start |
3007.408 |
transcript.whisperx[100].end |
3027.731 |
transcript.whisperx[100].text |
有一些线基本上是没有特别的保护如果要把这些环节把它拆开目前来讲其实是这三段第一段是感测sensor感测sensor一般我们比较碰不到大概都已经是在环境上第二段是传输第三段就是目前都会丢到Cloud上面去做所谓的运算跟处理 |
transcript.whisperx[101].start |
3028.592 |
transcript.whisperx[101].end |
3043.648 |
transcript.whisperx[101].text |
第二段是我目前在看各環境最可怕的狀態這個我讓各位試一下好了你才知道什麼叫做有限的感覺各位慢慢把你的手機拿起來一下請各位把你手機的藍牙打開一下 |
transcript.whisperx[102].start |
3045.21 |
transcript.whisperx[102].end |
3065.824 |
transcript.whisperx[102].text |
现在应该会有很多的蓝牙设备然后马上就随便找一台然后按配对看可不可以配对成功如果被配对成功的那一台手机就是有问题以目前的安全性配对应该不要成功他会传一个代码就会传个code那才是对的 |
transcript.whisperx[103].start |
3068.703 |
transcript.whisperx[103].end |
3087.877 |
transcript.whisperx[103].text |
可是各位的手機現在的藍牙安全性都算高所以理論來講應該是不會配對成功可是目前可以有藍牙的設備不是只有手機有很多都是包含有很多人車子可以接藍牙有沒有各位知道車子接藍牙你的配對密碼是多少各位知道嗎不知道 |
transcript.whisperx[104].start |
3091.778 |
transcript.whisperx[104].end |
3114.374 |
transcript.whisperx[104].text |
我介绍一下各位车子蓝牙配对的密码大概是4个0每一台都差不多那以现在我可以跟你车子配对在一起放鬼故事给你听因为月份又刚刚好有没有这样各位懂意思就中间那个连线现在有很多的连线包含像各位那个各位进捷运站不是逼一下吗 |
transcript.whisperx[105].start |
3115.414 |
transcript.whisperx[105].end |
3132.124 |
transcript.whisperx[105].text |
那是NFC所以现在连线不是只有什么有限的无限的无限的还有一堆那他的安全性其实现在我都打个问号所以这个各位就自己要特别小心一下然后这边我举一个实际的例子好了各位才知道外面有多少坏人有一年9月份 |
transcript.whisperx[106].start |
3138.257 |
transcript.whisperx[106].end |
3152.935 |
transcript.whisperx[106].text |
然后刚好一个礼拜五然后去跟人家聚餐然后聚餐回来之后就发现不对就开始胃痙攣然后从晚上9点一直吃就吃完止痛药一直痛痛痛到凌晨3点 |
transcript.whisperx[107].start |
3154.42 |
transcript.whisperx[107].end |
3183.348 |
transcript.whisperx[107].text |
然後後來不行我就叫計程車去那個台大醫院關急診然後到台大醫院的時候他其實是打那個點滴的止痛藥那打了其實就緩解那通常他會叫你去旁邊觀察所以就坐在椅子觀察然後已經緩解了其實就開始犯自己的職業病這樣子眼睛就會開始看哪邊可以連那結果讓我發現一件事情就台大醫院的急診室西頂的電風扇旁邊有個藍牙的 logo所以你可以用手機跟他配對配對成功你可以把風速轉小一點點 |
transcript.whisperx[108].start |
3185.527 |
transcript.whisperx[108].end |
3206.735 |
transcript.whisperx[108].text |
所以如果下次去你覺得很冷有沒有自己配對關小一點這樣聽得懂我試過了這樣懂其實外面其實很多設備其實都有那個連線不是只有像一般我們的Wi-Fi不是有很多都有這樣狀態所以你看到其實以目前人工智慧其實就兩個東西合起來一個是什麼感測Sensor收一堆數據 |
transcript.whisperx[109].start |
3208.797 |
transcript.whisperx[109].end |
3216.105 |
transcript.whisperx[109].text |
再来就是一个优良的演算法可以反推这些数据未来可以用在什么地方这样其实就这两段 |
transcript.whisperx[110].start |
3217.285 |
transcript.whisperx[110].end |
3237.799 |
transcript.whisperx[110].text |
以目前来讲那个数据已经布很久了这也不是现在在布这大概从有这些零王装置的时候就开始布布到现在只是说比较大的一个差异是什么就是后面的演算法的一个差异我这边用一个示意图让各位了解一下以目前其实已经可以到什么阶段 |
transcript.whisperx[111].start |
3239.02 |
transcript.whisperx[111].end |
3263.382 |
transcript.whisperx[111].text |
這個是所謂的自動決策的一個判斷各位不要看上面圖好了我講一個案例比較容易懂現在很多車子會有那個雨滴偵測然後就自己幫你刷雨刷有沒有其實就上面這張圖其實在我們的那個車子的玻璃上會有一個感測 sensor然後就判斷是不是下雨那今天如果判斷是下雨對不對他會幫你自動下決策去開啟什麼開啟你的雨刷那你的雨刷就會刷 |
transcript.whisperx[112].start |
3265.463 |
transcript.whisperx[112].end |
3278.208 |
transcript.whisperx[112].text |
你看現在都可以這樣做對不對那考各位一下請問各位現在的 AI 判斷是準還是不準我先講前提資料是正確的請問各位現在的判斷是準還是不準 |
transcript.whisperx[113].start |
3280.723 |
transcript.whisperx[113].end |
3300.276 |
transcript.whisperx[113].text |
準準準啦準可是準適合在所有的情境嗎不適合因為有些情境老實說就是不能那麼準我舉一個例子好了海峽中線現在其實都有飛機會飛過來那以正常飛機飛過來應該要什麼把他打下來才對可是打下來問題就大了 |
transcript.whisperx[114].start |
3301.127 |
transcript.whisperx[114].end |
3322.276 |
transcript.whisperx[114].text |
我举一个比较极端的例子可是像上面这雨刷现在就算没有下雨多刷个两下也不会怎么样就不痛不痒的我觉得可以所以他们现在后面还有另外一种什么辅助决策有自动决策有辅助决策这个现在延伸很多体系出来了可是差异在哪里差异在各位使用的AI要是聪明的 |
transcript.whisperx[115].start |
3323.576 |
transcript.whisperx[115].end |
3346.328 |
transcript.whisperx[115].text |
可是我也不知道各位的头脑到底分不分得出什么叫聪明还是不聪明所以我们用一个题目来考各位来这边有个题目是这样子这边岸上有三个东西就一箱菜一只羊一只狼那这边有一个人划着一艘船这艘船一次只能载一个东西到对岸请问各位要把这三个完好无缺运到对岸请问要怎么运各位会吗 |
transcript.whisperx[116].start |
3353.971 |
transcript.whisperx[116].end |
3378.062 |
transcript.whisperx[116].text |
还是各位已经头脑打结了第一次要先运什么不知道那我快速讲一下第一次要先运羊羊运过去空船回来然后你要运哪个都可以你把狼运过去羊再运回来菜再运过去空船回来再把单只羊运过去这样可以如果你的思维是这样子不好意思你是比较低阶的 AI |
transcript.whisperx[117].start |
3380.484 |
transcript.whisperx[117].end |
3389.197 |
transcript.whisperx[117].text |
真的啦所謂的低階AI就是專家知識庫各位現在的AI問他他第一個會先問你請問那隻羊是吃素的還是葷的 |
transcript.whisperx[118].start |
3391.127 |
transcript.whisperx[118].end |
3416.478 |
transcript.whisperx[118].text |
真的 現在操作各位你現在操作Chad GPD你要先跟他講你是誰你要先定義角色概念是一樣的這題目到最後其實會有一個更神奇的答案他可能跟你講那時候草原為什麼不能做大一點點然後一次就把三個東西運過去這個其實他就是跨領域了所以這跟以前的差異滿大的什麼時候開始有這樣的狀態其實已經很久了這個時候就開始了 |
transcript.whisperx[119].start |
3417.901 |
transcript.whisperx[119].end |
3437.275 |
transcript.whisperx[119].text |
各位有聽過這個東西嗎這已經快10年前的東西各位應該已經忘了它這叫APAGO就是人跟電腦下爲止從此之後人贏不了電腦的timing點就這時候我記得這是2016年的東西這個東西最有趣的狀態是什麼它設計思路跟以前不一樣以前設計的部分是教電腦專家知識庫 |
transcript.whisperx[120].start |
3440.221 |
transcript.whisperx[120].end |
3469.301 |
transcript.whisperx[120].text |
所有的棋类最复杂其实就是围棋为什么围棋一直没办法突破因为这些棋王会做一件事情就是先下比较笨的棋比较弱的棋去做对应所以在结合专家知识库的时候其实很难跳过这些人类的思维2016年这APACO怎么做我教电脑下围棋再用电脑的运算速度跟你人脑比这思维就不一样了 |
transcript.whisperx[121].start |
3471.302 |
transcript.whisperx[121].end |
3493.671 |
transcript.whisperx[121].text |
這是2016年各位知道今年都幾年了所以現在不是用飛的我不知道跳到哪一個階段去了麻煩的是什麼只要這些新技術出來不用看這種駭客就會開始拿來使用包含說各位不會寫程式你可以直接用它來寫程式然後用它來做生成網路上其實有很多這種有心人士非常喜歡利用這些資訊 |
transcript.whisperx[122].start |
3495.252 |
transcript.whisperx[122].end |
3513.833 |
transcript.whisperx[122].text |
来去做使用甚至这些诈骗集团也是非常喜欢做使用再考虑一下各位可能看上面没有感觉我用另外一种问法可能比较容易了解各位知道台湾地区每天受骗的金额应该是多少钱被骗的金额多少钱 |
transcript.whisperx[123].start |
3517.935 |
transcript.whisperx[123].end |
3534.173 |
transcript.whisperx[123].text |
大概2亿到5亿台币左右这是账面上有登记的就是有打165有登记的那有很多是没有打165其实那个金额是非常非常的可怕所以你看他们现在基本上都是拜金主义所以我们看一下一些威胁 |
transcript.whisperx[124].start |
3535.976 |
transcript.whisperx[124].end |
3557.028 |
transcript.whisperx[124].text |
第一个是AI好用我可以用AI去找环境的漏洞当然可以这种找到的漏洞都是什么零带还没有被发现的找到这种零带之后它就可以拿来做使用或做供给这个对单位来讲它的防御就变得非常的困难因为以前我们所知的都是什么党那个叫已知的威胁 |
transcript.whisperx[125].start |
3558.349 |
transcript.whisperx[125].end |
3586.038 |
transcript.whisperx[125].text |
現在都給你出現這種未知的威脅我也不知道怎麼擋都知道已經被攻擊成功之後我才知道這件事情未來會越來越多再來這些設備被入侵成功之後他會躲在你的環境非常的久然後他就可以利用你的設備再去攻擊其他人一般我們俗稱叫殭屍主機或殭屍網路考各位一下各位覺得你的電腦或你的手機被髒東西跑進來了現在平均多久才會被發現 |
transcript.whisperx[126].start |
3588.789 |
transcript.whisperx[126].end |
3617.442 |
transcript.whisperx[126].text |
猜看看会了会被发现了平均是多久就比如说脏东西跑到这里面来平均多久没感觉然后来分享一个数据你就知道了那个趋势之前有统计平均是大概680几天才会被发现就是进来然后要600多天才知道原来已经有脏东西进来了 |
transcript.whisperx[127].start |
3617.942 |
transcript.whisperx[127].end |
3638.299 |
transcript.whisperx[127].text |
所以现在进来你看用未知的给你攻击然后进来躲在里面又躲非常久这样现在大家都这样状态然后各位的设备现在最容易中的是什么东西各位觉得你的环境现在最容易中的最容易感染是哪一些二一城市木马勒索采矿这三个各位觉得哪一个木马勒索采矿 |
transcript.whisperx[128].start |
3644.673 |
transcript.whisperx[128].end |
3667.488 |
transcript.whisperx[128].text |
木馬還好啦因為各位現在防禦都好幾層疊加有防毒然後有EDMDR就好幾層疊加那勒索也還好因為勒索現在其實那個底層其實會跟他講說不能有那麼高的權限其實他也沒辦法做所以各位的環境現在最容易中的是採礦城市就是你會幫別人賺錢直接給各位看實際案例好了這樣解釋比較快這個有看過嗎 |
transcript.whisperx[129].start |
3677.813 |
transcript.whisperx[129].end |
3698.466 |
transcript.whisperx[129].text |
这个叫做矿池各位有听过矿池吗各位比较少看到矿池的样子各位比较常变成上面的小绿或小蓝点一个小绿小蓝就是一台矿机他会到这边报到然后分享你的资源帮他去采矿各位知道什么叫采矿吗 |
transcript.whisperx[130].start |
3701.212 |
transcript.whisperx[130].end |
3724.572 |
transcript.whisperx[130].text |
不知道彩礦有點像在算那個數學式然後數學式如果算對之後就有一個獎勵你把它想現在獎勵其實就是一個虛擬貨幣譬如說是一個比特幣類似像這樣因為礦越來越少所以它的那個計算越來越困難後期的做法以前可能用一台就算得出來有沒有現在一台不行兩台三台四台 |
transcript.whisperx[131].start |
3725.313 |
transcript.whisperx[131].end |
3736.263 |
transcript.whisperx[131].text |
就用大家的資源那他要自己去買礦機要要花不少成本嘛所以有一種駭客的做法呢就是讓各位變成他的礦機這樣懂哦那各位怎麼變礦機來這樣就變礦機了 |
transcript.whisperx[132].start |
3740.265 |
transcript.whisperx[132].end |
3761.748 |
transcript.whisperx[132].text |
有沒有發現開了一個瀏覽器然後旁邊有沒有發現CPU沒有降下來其實現在就在採礦了那個採礦你的電腦不會有ㄎㄧㄤㄎㄧㄤㄎㄧㄤ的聲音就這樣子而已然後他們很聰明不會讓你跑到滿大概只有七成因為跑到滿你電腦都不能動你會發現異常那為什麼這沒有掉下來真的採礦程式在這裡這邊有個瀏覽器有沒有 |
transcript.whisperx[133].start |
3763.578 |
transcript.whisperx[133].end |
3782.75 |
transcript.whisperx[133].text |
他那個瀏覽器的外掛程式就在這邊這東西防毒軟體也不會叫因為沒有檔案不會叫那要把這個瀏覽器關掉CPU才會降下來這就叫做採礦他會一直重複發生所以這個東西其實是目前來講我覺得威脅度是第一名的就會在單位一直重複發生 |
transcript.whisperx[134].start |
3783.934 |
transcript.whisperx[134].end |
3810.739 |
transcript.whisperx[134].text |
那針對各位的部分比較常見的部分都是特定攻擊只要在網路上做社工庫就可以找到各位的資料並且去發動所謂的攻擊那近期其實很多的攻擊那種思維模式其實都可以餵給目前的這些AI然後讓他去學習學習完之後他其實就可以針對環境上去做retry的這個動作的部分這是目前的五大危險的部分那看一些實務的一些應用 |
transcript.whisperx[135].start |
3812.92 |
transcript.whisperx[135].end |
3820.15 |
transcript.whisperx[135].text |
各位這兩三年有沒有一直聽到人工智慧的名詞各位有沒有聽過最誇張的產品跟你講有人工智慧各位有聽過嗎最誇張的產品 |
transcript.whisperx[136].start |
3828.137 |
transcript.whisperx[136].end |
3842.587 |
transcript.whisperx[136].text |
没有 我分享一下我听过最夸张的我有一次去逛菜市场然后发现一个卖扫把的他讲说他的扫把有人工智慧那我百思不迭期间明明就是一只传统的扫把哪来的人工智慧 |
transcript.whisperx[137].start |
3844.608 |
transcript.whisperx[137].end |
3868.884 |
transcript.whisperx[137].text |
结果各位知道他讲的跟我听的不一样他讲的叫做人工智慧这样听得懂吗不是人工智慧人工你记得这样懂目前其实有很多产品是真的有人工智慧我给各位看一些产品我觉得还蛮不错的因为有时候去看一些展览 |
transcript.whisperx[138].start |
3870.425 |
transcript.whisperx[138].end |
3886.169 |
transcript.whisperx[138].text |
上面这是去年的智慧居家展的产品不知道各位有没有去过这我觉得是比较有趣我把它截出来跟各位分享上面有三个产品最左边是那个叫做智能的镜子各位知道这智能镜子可以做什么猜看看 猜看看可以做什么 |
transcript.whisperx[139].start |
3892.657 |
transcript.whisperx[139].end |
3917.937 |
transcript.whisperx[139].text |
我把它公文講完好了那看各位以後會不會想買他那個鏡子上面會有鏡頭鏡頭會拍你今天早上起來的樣子然後他這是聯網的所以他會結合你的schedule然後拍你的樣子比如說今天有開會然後再去調你衣櫃裡面哪幾件衣服是適合今天開會的讓你選那比如說你選第三套然後那個衣服就會從衣櫃拉出來給你他後面還配一個智能的衣櫃 |
transcript.whisperx[140].start |
3923.59 |
transcript.whisperx[140].end |
3936.764 |
transcript.whisperx[140].text |
所以各位家裡以後會不會想買沒關係我跟各位講限制在哪裡好了限制不是禁止禁止不是問題衣櫃才是問題我當時候去看了那個智能的衣櫃最minima的size要15平以上 |
transcript.whisperx[141].start |
3938.422 |
transcript.whisperx[141].end |
3959.381 |
transcript.whisperx[141].text |
覺得各位你的房間要大於15坪各位懂意思嗎要不然你裝不了因為他要裝那個滑軌你知道嗎所以一般住家我覺得有點難我覺得在賣場可能比較適合就賣場調東西我覺得比較適合另外兩個都是智能床墊這個今年已經有打廣告那考各位一下請問各位智能床墊可以做什麼事情智能床墊可以做什麼 |
transcript.whisperx[142].start |
3966.587 |
transcript.whisperx[142].end |
3987.441 |
transcript.whisperx[142].text |
不用看这以后你家一定有我觉得一定会有因为现在人对睡眠品质来讲是很care然后他会去收集你的睡眠的资讯然后还会调底下的涂力桶让你睡眠比较舒适就是可以熟睡这样子 |
transcript.whisperx[143].start |
3989.062 |
transcript.whisperx[143].end |
4002.661 |
transcript.whisperx[143].text |
这以后价格就会到亲民家你就可能会卖可是因为我个人是研究安全所以考试一下如果各位以后家里有这个智能的床垫有5天都没有任何数据这代表什么意思 |
transcript.whisperx[144].start |
4005.155 |
transcript.whisperx[144].end |
4023.438 |
transcript.whisperx[144].text |
反退就一定不在家五天应该是出国吧这就有另外一个问题所以这些用我觉得没问题可是安全的问题可能稍微想一下要不然发生问题就不好你看周遭有没有发现很多这种机器人开始跑出来 |
transcript.whisperx[145].start |
4025.166 |
transcript.whisperx[145].end |
4041.473 |
transcript.whisperx[145].text |
这机器人各位知道那个机器人在China今年上半年的时候有两场机器人相关的一场是那个机器人跑半马的新闻各位有看过吗各位看完的心得是什么 |
transcript.whisperx[146].start |
4043.171 |
transcript.whisperx[146].end |
4062.812 |
transcript.whisperx[146].text |
我看完的心得是操縱的人比較累因為要跟著跑半馬你知道嗎然後每10K還要在那邊換電池弄得很緊張這樣子真的因為他沒有辦法一次跑完21公里就是大概10公里要換一次電池我那時候看完之後我就這好像有點累這樣子然後第二個是前陣子有那個機器人運動會 |
transcript.whisperx[147].start |
4064.534 |
transcript.whisperx[147].end |
4087.009 |
transcript.whisperx[147].text |
对所以你就发现这种东西慢慢已经开始还没有到成熟可是慢慢已经在踹了所以哪一些领域跑最快其实都是宠物宠物的领域就像什么智能床垫然后各位看最右边那张图那只狗狗的后面那一台机器就是陪伴机器人 |
transcript.whisperx[148].start |
4088.05 |
transcript.whisperx[148].end |
4116.434 |
transcript.whisperx[148].text |
那你把它想像一下那台机器人以后变人形有没有就是陪你了啦这样懂哦所以你看这没有离各位很远哦然后各位中间那个是叫做宠物追踪器现在有新的功能叫做宠物翻译的功能就是他可以翻译你们家宠物到底是在骂你还是在讨拍这样就是那个声音他可以识别这样子的那HTC最近有出那个眼镜各位知道 |
transcript.whisperx[149].start |
4118.14 |
transcript.whisperx[149].end |
4134.59 |
transcript.whisperx[149].text |
就之后这个会再来一次VR AR这种一定会再来一次因为目前的一些应用的那个领域会慢慢在展开了所以你看这些慢慢就会改变给我的生活这样子在路上有看过人家带过这个吗 |
transcript.whisperx[150].start |
4136.502 |
transcript.whisperx[150].end |
4157.539 |
transcript.whisperx[150].text |
其实现在戴都比较像是辅助而已就以前很久以前Google有推Google眼镜推不起来又再重来一次这个如果是要完全整合在一起你要看一下VR就虚拟实境那些游戏的应用是不是已经可以跟外面接接目前其实应用都是在独立场域里面 |
transcript.whisperx[151].start |
4159.028 |
transcript.whisperx[151].end |
4168.992 |
transcript.whisperx[151].text |
各位有看过人家玩那个虚拟的那个带着那个虚拟去玩游戏吗那知道都陷在那个场域吗那考个一下为什么都陷在那个场域 |
transcript.whisperx[152].start |
4172.748 |
transcript.whisperx[152].end |
4196.305 |
transcript.whisperx[152].text |
告诉各位为什么好不好这边你直走会撞到墙他看的时候都在里面他不知道实际有墙就会撞下去所以只能陷在那个场域里面那他们这种那个VR眼镜他是一半一半就是可以比如说现在是可以直接看状态然后去做那个资讯的一些判读这样反应我觉得还偏慢然后 |
transcript.whisperx[153].start |
4198.186 |
transcript.whisperx[153].end |
4212.361 |
transcript.whisperx[153].text |
这个各位只要知道科技有这些进展就好我讲一下我们平常要注意的这是我朋友的一支手机然后在客厅看电视突然发现自己的手机会动 |
transcript.whisperx[154].start |
4214.386 |
transcript.whisperx[154].end |
4236.143 |
transcript.whisperx[154].text |
然后他就把它录起来问我说发生什么事情了这不用看这叫脏东西正在操作的样子那我要让各位了解一下现在脏东西进到各位的手机都会偷什么东西还有我们来看一下手机在动这不是他操作的就是有脏东西正在操作他的手机 |
transcript.whisperx[155].start |
4238.044 |
transcript.whisperx[155].end |
4260.759 |
transcript.whisperx[155].text |
现在这些脏东西进来第一步都是先翻通讯录会先抓你通讯录的资料各位在这几年有没有接过一种电话打电话过来没有任何声音就挂断了他就是收你的资料之后打电话给你打电话不是人打的是机器打的是去测这个电话目前是活的还是死的 |
transcript.whisperx[156].start |
4261.819 |
transcript.whisperx[156].end |
4275.183 |
transcript.whisperx[156].text |
然後有時候我們接到電話不是會講聲音嗎現在有的會去錄製各位聲音的音頻然後就可以仿製你講話的聲音出來這就是現在的做法那這個各位知道要怎麼避免嗎怎麼避免這種攻擊不知道不是啊 各位可以跟我一樣不要用通訊錄就好了 |
transcript.whisperx[157].start |
4284.671 |
transcript.whisperx[157].end |
4310.942 |
transcript.whisperx[157].text |
你想說那電話怎麼辦記在頭腦裡太久沒記你就不知道怎麼記了這樣懂沒有我只記重要的不重要的基本上我現在不記我現在基本上已經到什麼程度了就是誰打電話給我大概都不接因為我不知道那電話是真的還是假我現在不接等他整個都沒有聲音之後我再去查證這個電話是誰再回撥了我現在比較不直接接電話因為這個很難避免這些各位玩過嗎這些 |
transcript.whisperx[158].start |
4320.674 |
transcript.whisperx[158].end |
4324.135 |
transcript.whisperx[158].text |
這些用最多其實是那個網紅圈各位在路上有看過人家那個直播的狀況嗎各位去逛夜市或在外面走路有沒有看過人家開直播我們是活在同一個領域的嗎應該是啦應該是啦外面有看過人家直播過嗎那有看過他的本人的樣子跟開播的畫面是不一樣的嗎 |
transcript.whisperx[159].start |
4351.937 |
transcript.whisperx[159].end |
4375.873 |
transcript.whisperx[159].text |
你可以仔细看你一下子可以仔细看一下就有很多是会开什么美肌美颜那些就是模组底下那些都是就是美肌美颜这些模组的部分大概就有这个比较有趣的地方是什么就是各位知道现在年轻人最想从事的职业第一名是什么各位知道没有前三名第一名是什么 |
transcript.whisperx[160].start |
4377.833 |
transcript.whisperx[160].end |
4382.921 |
transcript.whisperx[160].text |
不是啊YT啊还是YT啊直播主啊网红那各位想当网红吗 |
transcript.whisperx[161].start |
4390.447 |
transcript.whisperx[161].end |
4413.775 |
transcript.whisperx[161].text |
各位知道当网红有几个关键的条件第一个就是要不你就要长得非常的讨喜要不就要长得非常的奇葩就是要让人家看了不会忘记这第一个是这个然后第二个就是要有故事性因为没有故事性也其实有点难去做经营所以现在有这种培训单位 |
transcript.whisperx[162].start |
4415.095 |
transcript.whisperx[162].end |
4437.794 |
transcript.whisperx[162].text |
然后会帮你create一个故事然后你的脸如果没有那么的讨喜或者是那么的有特色没关系他会帮你建模然后帮你套套哪个讨喜脸的样子按在网路上就是另外一个样子这样子现在就是这样子做出来的所以各位这都知道了所以我要开始考各位了这人各位认识他是谁吗 |
transcript.whisperx[163].start |
4443.547 |
transcript.whisperx[163].end |
4459.86 |
transcript.whisperx[163].text |
不對我應該這樣問各位各位認識的網紅是誰只要你講的錯我大概就知道你的人格屬性是什麼屬性因為什麼屬性會看哪個網紅其實是推得出來的好啦各位認識這個人是誰嗎 |
transcript.whisperx[164].start |
4462.19 |
transcript.whisperx[164].end |
4484.071 |
transcript.whisperx[164].text |
都不認識因為現在網紅真的太多了網路一坨這個是南韓的一個網紅然後這個網紅他的特色是什麼他是專門唱歌的直播主有一種是專門唱歌的這是他唱歌的一段影片我特別把它抓下來我要麻煩各位幫我做一件事情我要麻煩各位的眼睛幫我找這段影片哪裡有問題這樣可以 |
transcript.whisperx[165].start |
4487.034 |
transcript.whisperx[165].end |
4496.737 |
transcript.whisperx[165].text |
这段影片如果各位没办法试别哪里有问题我可以确定你一定会被现在的诈骗集团技术骗这样可以所以我来播一下各位要找哪里有问题 |
transcript.whisperx[166].start |
4508.891 |
transcript.whisperx[166].end |
4525.556 |
transcript.whisperx[166].text |
she was on get up in the morningcup of milk let's rock and rollking kong kick the drumrolling on like a rolling stonesing song when i'm walking homejump up to the top lip runthing done call me on my phonenice tea and i get my ping pongjust |
transcript.whisperx[167].start |
4525.896 |
transcript.whisperx[167].end |
4549.488 |
transcript.whisperx[167].text |
get it heavycan you hear the bass boomi'm ready life is sweet as honeyyeah this bitch ching like moneythis girl overloadi'm into that i'm good to goi'm diamond you know i glow uphey let's gocause i i i'm in the stars tonightso watch me bring the fire set the night alight |
transcript.whisperx[168].start |
4557.383 |
transcript.whisperx[168].end |
4564.345 |
transcript.whisperx[168].text |
所以已經會唱完了都會找到了嗎 |
transcript.whisperx[169].start |
4584.524 |
transcript.whisperx[169].end |
4591.326 |
transcript.whisperx[169].text |
所以有找到哪裡有問題各位完蛋了你一定被現在詐騙集團騙這個還是舊的技術各位真的完蛋了 |
transcript.whisperx[170].start |
4601.916 |
transcript.whisperx[170].end |
4614.366 |
transcript.whisperx[170].text |
這個是三年前的技術了這個不是現在的現在的更誇張所以各位覺得這裡哪裡有問題不要跟我講背景有問題背景可以套換用背景套完會變這樣子沒關係各位想一下哪裡有問題這個剛才那個影片哪裡有問題 |
transcript.whisperx[171].start |
4627.973 |
transcript.whisperx[171].end |
4647.692 |
transcript.whisperx[171].text |
有点迫在是那个方向可是可以再想一下我提示一下刚才各位听到的声音是本人的声音那是他本人本人的声音然后刚才各位看到的影片只有一个东西是假的其他都是真的 |
transcript.whisperx[172].start |
4652.645 |
transcript.whisperx[172].end |
4679.924 |
transcript.whisperx[172].text |
对脸是假的可是这张脸最神奇是什么拼出来的就是他不是换脸A换B他是收集男男人民最讨喜脸的数据把它拼出来比如说眉毛应该长怎么样子眼睛应该多大鼻子长怎么样子嘴巴应该多大是整张脸是拼出来的所以你在网路上被他骗感情有没有去警察局报案不受理由因为没有这个人 |
transcript.whisperx[173].start |
4680.985 |
transcript.whisperx[173].end |
4707.32 |
transcript.whisperx[173].text |
这样懂来我再往回这里刚才的迫在在哪里其实是在嘴巴嘴巴没有那么自然各位看得出来吗我再把它播一下因为以目前来讲数据细腻程度的部分以前我们很容易识别是什么就是像嘴巴因为嘴巴细腻程度比较不会那么细腻然后再来是关节处 |
transcript.whisperx[174].start |
4708.16 |
transcript.whisperx[174].end |
4735.529 |
transcript.whisperx[174].text |
比如说手指头关节处或者是人的关节处那个其实比较不那么细腻他特别是什么脖子以下都是本人只有脸不是而已所以再给各位看一下嘴巴的地方各位观察一下嘴巴的地方各位有发现没有那么自然吗 |
transcript.whisperx[175].start |
4737.665 |
transcript.whisperx[175].end |
4758.677 |
transcript.whisperx[175].text |
就只有這一點點破綻還是各位看完都差不多那你就認了吧我也不知道怎麼教各位嘴巴如果各位聽那個聲音跟嘴巴的嘴型其實相對細膩度你會發現好像有點怪怪的就只有這個嘴巴而已 |
transcript.whisperx[176].start |
4760.851 |
transcript.whisperx[176].end |
4777.141 |
transcript.whisperx[176].text |
这样可以吗这是现在进行式赶快跟各位讲这样懂然后最可怕的地方来我把这段讲完再让各位休息一下现在最可怕的地方是什么就是这边有一个网站这叫数字人产生器 |
transcript.whisperx[177].start |
4778.86 |
transcript.whisperx[177].end |
4803.324 |
transcript.whisperx[177].text |
我现在只要怎么做我只要拍了各位的照片然后再加上各位的声音我就可以打一段文字让那张照片讲话现在就这样就做得到所以像我现在出门都会这样戴口罩那我戴口罩其实不是干嘛只是遮自己嘴巴而已其实我现在只要有各位的照片马上可以讲话 |
transcript.whisperx[178].start |
4805.963 |
transcript.whisperx[178].end |
4833.362 |
transcript.whisperx[178].text |
各位好像没有感觉我来demo一下好了你才知道什么叫可怕这个现在真的没办法因为技术太多了就这个我只要上传照片第一个叫上传照片所以我只要上传像各位看到这种有五官的照片有嘴巴然后各位第二段这边有没有看到这边我可以打文字就是叫他讲什么话 |
transcript.whisperx[179].start |
4836.468 |
transcript.whisperx[179].end |
4864.843 |
transcript.whisperx[179].text |
最可怕的是什么这边我看到一个这个功能掉掉了这个是什么就是上传各位的声音的音频然后就可以让他讲话然后讲不该讲的话这样子现在大概都可以很快速然后再按下一步生成这样就做好了所以我先拉过来一下因为这样太远我翻一下之前我用上面这张照片生成的给各位看 |
transcript.whisperx[180].start |
4878.337 |
transcript.whisperx[180].end |
4903.351 |
transcript.whisperx[180].text |
这个这个是我上次在另外一场合作的啦就是刚才各位看到那个网红的那一张有没有我是剪那一张的照片而已不是影片照片然后我就让他去直接生成一段文字大家好我是一个由人工智慧驱动的数字人我的名字是安娜很高兴能与大家见面 |
transcript.whisperx[181].start |
4905.066 |
transcript.whisperx[181].end |
4929.293 |
transcript.whisperx[181].text |
我诞生于ABC我的核心是先进的自然语言处理和计算机视觉技术这让我能够理解和回应您的语音和文字输入并通过我的虚拟形象与您进行互动这是我快速让他深层一段了那那个眼睛的部分基本上还可以再调 |
transcript.whisperx[182].start |
4931.571 |
transcript.whisperx[182].end |
4957.804 |
transcript.whisperx[182].text |
所以各位現在收到這種Message你不要覺得他是真的這樣可以那不是只有那麼可怕的功能還有更有趣的功能來分享一下這個還要用網站操作類都類似了各位知道現在有App的版本嗎這個叫閃剪你可以裝在手機上面各位上面看到有很多圖片有沒有 |
transcript.whisperx[183].start |
4958.644 |
transcript.whisperx[183].end |
4986.482 |
transcript.whisperx[183].text |
各位在网路上有没有看到很多什么投资理财都长得像上面这个样子有没有那都数字人灌出来的啦这样懂就是你要怎么识别现在这些技术就是你要看得够多看得够多就好像在哪边有看过那个其实就是这种数字人产生器的那底下那个散减可以做什么事情来我教各位回去玩一个这个可能会造成纠纷可是你还是回去玩看看好了他可以做这件事情 |
transcript.whisperx[184].start |
4987.643 |
transcript.whisperx[184].end |
5013.098 |
transcript.whisperx[184].text |
你可以上传两张照片他上面有很多模组这是其中一个模组叫拥抱那两个人就会抱在一起不是只有拥抱模组还有很多special的模组所以你回去可以把它生成一个影片传给另外一半说你去哪里鬼混被我抓到这样子然后他很难跟你解释不是他这样懂这个根本没有技术我为什么上传这两张照片 |
transcript.whisperx[185].start |
5014.139 |
transcript.whisperx[185].end |
5035.253 |
transcript.whisperx[185].text |
因为这两个在不同时代他们不会在一起可是你可以让这两个人抱在一起这是没有问题的这样可以各位开始现在就要开始深层丢回去不要我个人建议还是不要因为没办法识别以目前我觉得有办法识别的方式是深层的这种平台应该要去压我是什么平台深层 |
transcript.whisperx[186].start |
5036.033 |
transcript.whisperx[186].end |
5053.103 |
transcript.whisperx[186].text |
可是很多平台他沒有做這件事情所以生成出來那個影片你很難用眼睛去看左上右下有沒有那個識別的logo是看不出來的所以這種技術以目前來講是沒有任何的門檻就可以製造那在我們面前很麻煩的地方是什麼 |
transcript.whisperx[187].start |
5054.656 |
transcript.whisperx[187].end |
5083.359 |
transcript.whisperx[187].text |
我们现在在操作任何平台现在会越找越错这件事情各位可能要特别注意一下各位现在找东西还会用 Google 搜寻吗还是还会用搜寻引擎搜寻吗我个人建议不要我们要换下一个方式对像我现在搜寻都是叫 CheckGPT 先去找找完之后再回来塞塞也叫他塞了各位会叫 CheckGPT 找东西吗 |
transcript.whisperx[188].start |
5085.427 |
transcript.whisperx[188].end |
5103.044 |
transcript.whisperx[188].text |
還是各位都自己找來 我跟各位分享自己找沒有不好只是那是上一代的人在找東西的方式現在的做法是什麼用TradeGPT去找然後找完之後還可以做後續的延伸現在的做法真的是這樣做 |
transcript.whisperx[189].start |
5104.426 |
transcript.whisperx[189].end |
5121.765 |
transcript.whisperx[189].text |
那为什么说上一代会有问题是因为我们现在在所有的平台搜寻其实他都会记录我们最近搜寻了什么会谈相关的资讯给我们那第一种最常见的就是上面这个叫一页是诈骗广告就人家搜寻的时候旁边会跳很多广告这些广告 |
transcript.whisperx[190].start |
5122.766 |
transcript.whisperx[190].end |
5144.155 |
transcript.whisperx[190].text |
有时候你会想我来查证这个广告是真还是假越查越错现在是会越查越错所以我个人建议就是在搜寻的过程中跳出任何讯息拜托都不要相信他台湾常常看被破获的案例大多数都是抓到车手而已祖贤是抓不到的 |
transcript.whisperx[191].start |
5146.312 |
transcript.whisperx[191].end |
5153.896 |
transcript.whisperx[191].text |
這個要講一下各位知道我們台灣的另類台灣之光就是我們是詐騙集團非常高深的國家我們的詐騙技術非常高深各位知道 |
transcript.whisperx[192].start |
5159.508 |
transcript.whisperx[192].end |
5176.998 |
transcript.whisperx[192].text |
我也是因为看了某一些资讯之后才发现原来我们的技术是领先各国这样子我分享几个资讯我记得是去年还是今年就是日本有波当地的诈骗集团祖贤被抓到 |
transcript.whisperx[193].start |
5178.198 |
transcript.whisperx[193].end |
5194.256 |
transcript.whisperx[193].text |
然后抓到之后那个祖先是北海道人那抓到之后当地的记者就去问他说请问他那个技术是去哪里学的然后他就讲台湾那他讲完之后最让我生气是什么那技术是十几年前我们已经不用的 |
transcript.whisperx[194].start |
5195.971 |
transcript.whisperx[194].end |
5213.973 |
transcript.whisperx[194].text |
各位知道很多年前有那个访什么检察官寄邮件那一种的我说我们现在不是都用真的去骗对方吗我自己的心理是这样子的我觉得怎么用那么旧的技术这样子各位知道全球现在诈骗的主线大家都在哪里各位知道吗 |
transcript.whisperx[195].start |
5216.618 |
transcript.whisperx[195].end |
5226.169 |
transcript.whisperx[195].text |
不知道應該有聽過就是什麼柬埔寨 京邊那些他們叫詐騙園區然後詐騙園區各位知道那個機房大概都台灣人建的各位知道我們那個建機房技術何其高 |
transcript.whisperx[196].start |
5232.116 |
transcript.whisperx[196].end |
5256.631 |
transcript.whisperx[196].text |
就是我就觉得某些技术我们真的是某一些领域超强你知道吗可是台湾落地抓到就在本岛抓到都是车手很少抓到主嫌主嫌都在国外以前有抓到主嫌很久很久以前就是都在什么民宿里面然后抓到一票人这样子现在这个都没有在台湾都是在国外这样子那没关系我们没有要当主嫌我们要不要被骗就好我把整串串起来这是我把它整理的图 |
transcript.whisperx[197].start |
5260.533 |
transcript.whisperx[197].end |
5278.188 |
transcript.whisperx[197].text |
来现在是这样子这张要先左上左上这一张我们现在在操作过程中会有很多的陷阱让我们踩到什么ES诈骗网页什么有的没有会让我们踩到那现在踩到之后不会直接骗我们会怎么骗诱导你去YT的频道 |
transcript.whisperx[198].start |
5279.669 |
transcript.whisperx[198].end |
5302.045 |
transcript.whisperx[198].text |
那些YT频道是深微的比如说访一些财经主播开这些频道然后跟你讲什么内容这样子因为我们平常可能对这些主播有一点点认识你就会觉得他是什么专业类型的你会相信他相信他之后他就诱导你去右下的叫做LINE的投资群 |
transcript.whisperx[199].start |
5303.326 |
transcript.whisperx[199].end |
5325.984 |
transcript.whisperx[199].text |
LINE的投资群里面假设有10个人有9个是他只有你不是而已然后那边就会有一些诈骗的术语然后教你一些什么动作我目前有看到什么他有的还会先出钱让你投资你确定有拿到钱就领出来相信他之后再慢慢拨各位 |
transcript.whisperx[200].start |
5327.464 |
transcript.whisperx[200].end |
5344.192 |
transcript.whisperx[200].text |
我觉得这几年诈骗最狠的地方是什么金额听起来都吓死人各位上个月底8月底有一个诈骗然后就有一个富人被骗退休富人被骗多少钱单一个人各位都没有注意这个新闻九位数 |
transcript.whisperx[201].start |
5355.574 |
transcript.whisperx[201].end |
5372.639 |
transcript.whisperx[201].text |
現在我看到被騙的金額都是九位數起跳以前可能都幾萬塊幾百萬這樣子沒有現在都九位數很誇張然後那個詐騙案例讓我學到了另外一件事情有時候看這個就要學東西學到什麼你要騙人家上億以後你要投一些成本進去 |
transcript.whisperx[202].start |
5374.255 |
transcript.whisperx[202].end |
5392.528 |
transcript.whisperx[202].text |
所以他当时候怎么骗你知道就是他就买那种精品包去送那个贵妇什么那个精品包是真的不是假的我讲的是他是买那个真的去送那又送你比如说你收了一个二三十万的那个精品包就这个人可能还蛮有钱的然后就慢慢骗这样子所以各位平常会收到精品包不会 |
transcript.whisperx[203].start |
5398.041 |
transcript.whisperx[203].end |
5420.929 |
transcript.whisperx[203].text |
没有因为那个案例让我觉得我怎么他们还会投成本进去这样子这个也是这投成本先让你玩可是他不一样是什么他投让你玩的那个平台也是他控制的所以比如说跟你讲说投保率200%对不对他后面后台自己调的这个比较不一样我刚才讲的是另外一种对所以各位认识这个人是谁 |
transcript.whisperx[204].start |
5424.769 |
transcript.whisperx[204].end |
5444.395 |
transcript.whisperx[204].text |
這是謝金河那去年有人訪他身為然後去騙對方被騙了好像1.5億還1.8億現在都是這種很誇張的金額所以這個就稍微注意一下那這種AI詐騙的部分第一種最常見的就是全部都假的完全沒辦法識別 |
transcript.whisperx[205].start |
5444.955 |
transcript.whisperx[205].end |
5469.193 |
transcript.whisperx[205].text |
在网路上因为已经都是假的所以你也不知道是真还是假很难分第二种是利用名人投资理财像今年上半年我还有看过有人去访黄仁勋然后跟你讲说要开另外一间子宫是什么有的没有的募资这样子我也有看过然后再来是什么在大多数都是透过投资 |
transcript.whisperx[206].start |
5470.995 |
transcript.whisperx[206].end |
5490.045 |
transcript.whisperx[206].text |
投资的案件是比较少可是金额都是大的然后以往被骗的数量比较多的是网购可是网购被骗的金额都比较小这样子这两个还是有蛮大的一个差异这网站各位有用过吗这个没有 |
transcript.whisperx[207].start |
5498.004 |
transcript.whisperx[207].end |
5504.046 |
transcript.whisperx[207].text |
各位回去玩一下這是 OpenAI 有一個功能叫做 Sora各位平常有需要拍影片嗎沒有各位生活怎麼鬧的無趣沒有我今天一定要教各位會兩件事情第一個回去弄影片各位平常會寫歌嗎會寫歌嗎 |
transcript.whisperx[208].start |
5516.903 |
transcript.whisperx[208].end |
5542.295 |
transcript.whisperx[208].text |
我今天一定要教各位會寫歌你下下班前寫一首歌寄給你的另外一半這樣子我等下教你我一定教你會來現在那麼好用的功能來這是 OpenAI 的 Sora那基本上現在產影片這件事情各位只要會寫故事情進去像底下那個那寫完就可以直接生成影片這是生成的影片我給各位看影片生成的效果 |
transcript.whisperx[209].start |
5545.519 |
transcript.whisperx[209].end |
5570.351 |
transcript.whisperx[209].text |
這個不是拍出來的這是深層出來的各位可以看那個水的倒影這倒影還就是畫質其實是很高的那像以前我們拍影片啊如果要拍實際現在是晴天就今天是下雨你就沒辦法拍嗎那現在是連天氣你都可以控制哦你就讓深層就有了 |
transcript.whisperx[210].start |
5573.044 |
transcript.whisperx[210].end |
5592.732 |
transcript.whisperx[210].text |
所以这样各位会铲影片写故事铲影片写故事铲影片一次就是60秒多写几段故事就把影片都串完了所以现在这种丢给你像这整段是铲出来的假设这个拿来骗你各位你要怎么识别各位要怎么识别 |
transcript.whisperx[211].start |
5598.345 |
transcript.whisperx[211].end |
5625.995 |
transcript.whisperx[211].text |
以前会教各位你可以认一下右下那边有没有看到OpenAI Logo有看到吧有所以各位以后看到图影片我们还是先下一次先看有没有Logo虽然这个Logo之后会被拔掉有很多是会拔掉可是你如果看到那个不用看对方就很粗糙有没有连Logo都跑出来有没有应该有看到一个Logo所以我建议还是要认一下如果有看到这种不用看都是AI生成的 |
transcript.whisperx[212].start |
5627.615 |
transcript.whisperx[212].end |
5653.634 |
transcript.whisperx[212].text |
那这边有10个我个人建议你的讯息只要符合上面三个不用看这就诈骗资讯了就百分之百诈骗资讯可是以我自己的经验是各位头脑还清醒的时候是识别的出来你如果掉在圈就掉在那个坑里面你其实没办法识别完全没办法识别这我分享一下我朋友的案例好了你就知道什么叫做掉到圈里面 |
transcript.whisperx[213].start |
5655.575 |
transcript.whisperx[213].end |
5674.384 |
transcript.whisperx[213].text |
我朋友是一个退休每天不知道干嘛然后早上他就是出门运动然后晃一晃然后下午其实就在上网去看盘然后在那边上网交友这样就大概是过这种日子这样子有一天我就收到了一个资讯叫我去银行 |
transcript.whisperx[214].start |
5675.871 |
transcript.whisperx[214].end |
5705.041 |
transcript.whisperx[214].text |
为什么因为他被人家通知要汇大额金额一场然后要去协助跟他讲说这是诈骗资讯然后叫他不要汇这样子我去的时候其实航员跟警察都在那边然后就跟他讲这是诈骗资讯这样子他还是不相信然后我到了对方有先跟我讲室友然后跟发生什么事情这样子 |
transcript.whisperx[215].start |
5705.781 |
transcript.whisperx[215].end |
5724.975 |
transcript.whisperx[215].text |
那我一听完我就觉得奇怪这种那么瞎的东西怎么还会有人相信这样子他是这样子的他网络上交友认识了一个明星然后跟他讲要拍电影第二集然后叫他要汇笔钱然后就是当幕后出资这样子那各位猜看看他认识的明星是谁不知道我讲完你就会觉得他很瞎叫梁朝伟 |
transcript.whisperx[216].start |
5733.618 |
transcript.whisperx[216].end |
5737.542 |
transcript.whisperx[216].text |
不用看你怎麼可能在網絡上隨便踩都可以踩到梁朝偉我才不相信 |
transcript.whisperx[217].start |
5739.093 |
transcript.whisperx[217].end |
5768.313 |
transcript.whisperx[217].text |
那我講完當然他很生氣他就把那個media給我看你知道因為你各位知道現在其實不是純文字就會有那個影音你知道嗎老實說我分不出來他是假的各位聽得懂就那個影音的那個分不出來我完全分不出來我只跟他講說基本上這些明星是沒辦法了後來我跟他講了大概十幾分鐘他不相信你知道嗎就你要怎麼讓他一定相信這件事情 |
transcript.whisperx[218].start |
5770.196 |
transcript.whisperx[218].end |
5771.636 |
transcript.whisperx[218].text |
如果是各位會怎麼做我當場生成一個給他看然後他還說現在都可以做到這樣子就是當場他才會有感覺他給我看那個影片我自己看到有而且也沒有那個LOGO完全沒有所以我就覺得現在技術真的是一個有點麻煩的狀態 |
transcript.whisperx[219].start |
5792.541 |
transcript.whisperx[219].end |
5811.845 |
transcript.whisperx[219].text |
这个我还是建议各位只要收到任何比较怪的讯息拜托提高警觉一下这种攻击其实这几年一直发生包含说这种跨国的different的部分然后去访财务长去转钱这也有然后访你的声音也有各位生活周遭有没有受过这种可怕的状态 |
transcript.whisperx[220].start |
5813.928 |
transcript.whisperx[220].end |
5839.821 |
transcript.whisperx[220].text |
这种我还是分享案例我们公司之前有一个同事早上就接到他爸爸的电话然后跟他讲什么家里要装潢然后就要汇一笔钱这样子因为金额比较大他想说中午再去银行汇然后中午他去银行的时候因为忘了那个贷汇款资料然后中午再打电话给他爸要再问一次然后他爸中午是跟他讲我今天没打电话给你各位听得懂 |
transcript.whisperx[221].start |
5844.338 |
transcript.whisperx[221].end |
5849.64 |
transcript.whisperx[221].text |
那現在AI是可以模仿各位的聲音哦那請問各位什麼不能模仿就不是語氣語調還沒辦法 |
transcript.whisperx[222].start |
5859.806 |
transcript.whisperx[222].end |
5873.977 |
transcript.whisperx[222].text |
聲音音頻就講起來很像沒有問題可是語氣語調還沒辦法所以我教各位以後要怎麼辦以後每個禮拜講電話最後一個字你就加一個關鍵字進去如果對方聽到這個關鍵字就是你本人比如說這個禮拜叫阿下個禮拜叫那這樣子對那就是我同事這樣 |
transcript.whisperx[223].start |
5883.086 |
transcript.whisperx[223].end |
5906.774 |
transcript.whisperx[223].text |
没有可能各位要稍微听一下他的语气语调是不是他的本人的习惯因为这个现在没办法我一直以为现在的人没有那么高的警觉我上次在Family那边然后我隔壁一桌刚好有人接电话就直接怎么做通关密码 |
transcript.whisperx[224].start |
5909.986 |
transcript.whisperx[224].end |
5920.045 |
transcript.whisperx[224].text |
我沒有開玩笑真的就通關密碼然後有一次我在那個中南部也有遇過一次有個阿伯然後接到電話去年的今天我們發生過什麼事情 |
transcript.whisperx[225].start |
5921.283 |
transcript.whisperx[225].end |
5944.517 |
transcript.whisperx[225].text |
我覺得現在怎麼變這樣的社會就是你要反問你懂我意思嗎所以各位有時候接電話可以用反問的比如說昨天發生了什麼事昨天太近了那個資訊還不行可能要稍微早一點點單聽聲音拜託就不要相信因為現在很多平台這些都是一堆後來我去了解一下為什麼這些平台要做這些功能 |
transcript.whisperx[226].start |
5945.558 |
transcript.whisperx[226].end |
5971.238 |
transcript.whisperx[226].text |
人家平台原本出處是好的就是讓那些生代受損或者是已故的那種明星可以回到原本的那個聲音然後讓各位回味這樣子可是這個現在都被詐騙集團拿來做使用我覺得比較不好目前各位只要有看到名人推薦有沒有一律不相信就對了這個現在也沒什麼好相信的因為基本上名人不太會去推薦這些東西然後再來是這種 |
transcript.whisperx[227].start |
5973.965 |
transcript.whisperx[227].end |
6000.29 |
transcript.whisperx[227].text |
现在通常到最后就会诱导你去哪个网站操作这种网站其实都会透过什么透过你搜寻的时候跑过来我这边先让各位知道一个环境各位有没有发现现在在任何网站浏览的时候其实常常就会跳出来跟你讲说我要收集你的 cookie有没有像底下那个有同意有取消有没有请问各位这时候要点同意还是点取消哪个不会掉资料 |
transcript.whisperx[228].start |
6005.529 |
transcript.whisperx[228].end |
6029.496 |
transcript.whisperx[228].text |
都会都会都会掉资料你点同意点取消都会掉资料只要网页一弹出来就开始掉了所以那个同意取消其实只是征询各位而已就是告知有这件事情在哪个国家比较严谨哪个区域比较严谨其实是欧盟欧盟GDPR其实他严谨到只要到平台就先stop |
transcript.whisperx[229].start |
6030.316 |
transcript.whisperx[229].end |
6042.171 |
transcript.whisperx[229].text |
不能收集因為各國家各區域不一樣目前最嚴謹是歐盟各位這個收集對我們就有影響了影響在哪裡各位平常會去操作訂房網站嗎 |
transcript.whisperx[230].start |
6044.195 |
transcript.whisperx[230].end |
6066.347 |
transcript.whisperx[230].text |
那有没有发现你去操作订房网站去的时候还没下订第二天再去同样的房间发现他变贵了应该有发现吗不是越浏览越便宜不是是越浏览越贵因为他演算法会写是你一直浏览怎么没有下订就房间数减少然后价格变高你就会下订 |
transcript.whisperx[231].start |
6068.529 |
transcript.whisperx[231].end |
6087.703 |
transcript.whisperx[231].text |
这个设计过的他抓人性有设计过的那我教各位怎么变回原价屋有方法了这可以学一下第一个你的电脑可以装个VPN的软体或装这个然后上面有没有看到自动更换IP你可以打勾然后底下分钟你可以改一分钟他就是一分钟换一次IP |
transcript.whisperx[232].start |
6088.905 |
transcript.whisperx[232].end |
6113.91 |
transcript.whisperx[232].text |
然后对这些平台来讲你都是不同人可是记得一件事不要先登录先登录他就知道你是谁所以不登录然后用这个去浏览你就会发现他就会变回原价的状态这是我自己平常在操作的状态不能先自动记密码这样其实就可以让那个网站变回原价的状态各位回去可以试看看 |
transcript.whisperx[233].start |
6116.461 |
transcript.whisperx[233].end |
6120.727 |
transcript.whisperx[233].text |
那我们先休息十分钟等一下再来分享第二段 |
transcript.whisperx[234].start |
6370.896 |
transcript.whisperx[234].end |
6371.186 |
transcript.whisperx[234].text |
by bwd6 |
transcript.whisperx[235].start |
6455.162 |
transcript.whisperx[235].end |
6455.503 |
transcript.whisperx[235].text |
by bwd6 |
transcript.whisperx[236].start |
6692.406 |
transcript.whisperx[236].end |
6708.195 |
transcript.whisperx[236].text |
那我再继续往下分享题外话一下各位平常有需要回去教小朋友的吗 |
transcript.whisperx[237].start |
6710.331 |
transcript.whisperx[237].end |
6738.312 |
transcript.whisperx[237].text |
小朋友有没有问你东西你答不出来的都没有各位太强现在其实怎么做你知道就是他问你你不懂的对不对你要用手机装CHAT GPD拍然后解答答案就出来了没有因为你少做了一件事你要跟他讲你是什么数学老师专精在什么去解这个题目才是对的我们都少做了一段 |
transcript.whisperx[238].start |
6741.338 |
transcript.whisperx[238].end |
6753.326 |
transcript.whisperx[238].text |
不用不用不用因為我們現在操作等一下也會大概教一下了我們現在操作都少了一段就是定位角色角色沒有把它定位到精準所以有時候那出來結果會有點可怕對對就是你們要定角色給他他是誰了你們要定他了哎那要定就有差 |
transcript.whisperx[239].start |
6764.284 |
transcript.whisperx[239].end |
6776.282 |
transcript.whisperx[239].text |
对你要跟他讲你是国小三年级数学老师专长在什么什么什么然后解这个题目就会对因为因为现在那个 AI 你没有定角色他会嫖 |
transcript.whisperx[240].start |
6779.898 |
transcript.whisperx[240].end |
6804.936 |
transcript.whisperx[240].text |
好 沒關係等一下有一段會教各位大概怎麼操作因為各位操作我發現各位都會吃到以前操作的習慣以前我們操作習慣叫做關鍵字操作就是什麼給我什麼現在平台不能這樣玩平台要先定義角色是誰做什麼事情什麼參出有三段其實講很難其實實際上就是一個敘述式就做完了等一下我教你們會再更精準一點對 |
transcript.whisperx[241].start |
6811.412 |
transcript.whisperx[241].end |
6829.424 |
transcript.whisperx[241].text |
會喔很瞎喔等一下我教各位這個好玩題外話一下各位他們現在吃的不是只有文字圖片連影像都可以吃了丟進去都可以吃都會解答只是說你角色定位要正確 |
transcript.whisperx[242].start |
6832.545 |
transcript.whisperx[242].end |
6858.671 |
transcript.whisperx[242].text |
这是以前我因为我常常到各地上课啦然后跑一跑有些地方没去过有些地方就会用到 map 嘛那像这个是要去那个保一上课然后上课的时候因为第一次没去过然后就找在哪里啊请问各位你找完你下一步会怎么做当然不是这样子啊各位这样很无聊呢我的习惯是找完之后下一步会做什么在那个底下就保一种的底下有没有看到评论 |
transcript.whisperx[243].start |
6860.327 |
transcript.whisperx[243].end |
6874.306 |
transcript.whisperx[243].text |
这里我超爱点这个我都会先点评论这里然后评论点开之后第三则有没有看到一个他就跟你讲说那个对面饮料店的女儿长得很可爱有没有那我还比较早到我还特意去看了到底长成怎样 |
transcript.whisperx[244].start |
6876.207 |
transcript.whisperx[244].end |
6891.494 |
transcript.whisperx[244].text |
我现在这个行为就叫做漏搜那其实以他们现在的专业术语叫做社工库然后那个是某一个人张贴的讯息对不对前面有个account我还可以针对这个account去漏搜他是里面第几期的学生 |
transcript.whisperx[245].start |
6893.055 |
transcript.whisperx[245].end |
6905.62 |
transcript.whisperx[245].text |
这个其实就是现在可以利用一堆爬虫去爬出来的所以网络资讯流的多或少影响就差异非常非常的大那各位有找过自己的资料吗是这样子找吗回去麻烦做一件事你可以把CHATGPT叫出来就是Jiminy把它叫出来你要跟他讲说你是搜寻引擎的专家帮我找哪一个账号网路上有没有资料叫他找 |
transcript.whisperx[246].start |
6924.249 |
transcript.whisperx[246].end |
6946.653 |
transcript.whisperx[246].text |
我為什麼教各位這樣子因為這嚇到我了像那個照最底下那個連結有沒有那是20幾年前我不知道在哪個論壇留的一個資訊這樣他也可以爬得出來所以各位可以回去利用這種方式爬看看那個真的有時候會嚇到你會爬到一些很奇葩的資料出來然後重點是你以前可能不知道在哪邊踩過的坑也在上面這樣子各位回去可以試看看 |
transcript.whisperx[247].start |
6949.479 |
transcript.whisperx[247].end |
6974.8 |
transcript.whisperx[247].text |
各位看照片的时候像上面这新闻是这样这是去年的一个新闻就是有人在台北市政府交易毒品被抓到结果里面是一个其中一个职员这样子每次看新闻我最讨厌看到的新闻就是这种新闻各位如果你要知道这个人是谁现在要怎么做教你按右键图片搜寻就跑出来了然后再以图搜图就中了所以他是谁就跑出来了 |
transcript.whisperx[248].start |
6976.837 |
transcript.whisperx[248].end |
7001.816 |
transcript.whisperx[248].text |
那实际上以这一招在应用的方式是用手机手机会更好操作直接拍就有了我教各位个大绝招好了各位平常会去买水果吗那各位会挑水果吗不会我教你你手机装TrackGPT然后去水果行拍水果的图然后问他说哪个水果田他就会告诉你了 |
transcript.whisperx[249].start |
7004.46 |
transcript.whisperx[249].end |
7025.346 |
transcript.whisperx[249].text |
真的啦科技是生活拿來用啦真的啦真的啦各位回去可以試啦真的啦我沒有開玩笑真的真的真的各位去試一下你用拍的因為他現在吃土啦你用拍的你問他哪顆水果田他會告訴你 |
transcript.whisperx[250].start |
7027.443 |
transcript.whisperx[250].end |
7050.215 |
transcript.whisperx[250].text |
各位你回去试看看就知道好玩的地方啦我先教各位正确操作的方式好了各位平常有需要想一些那个slogan或者是标题吗企划什么slogan标题没有你如果那个现在临时想不出来你可以教他们发想几个议题出来我们会比较好想 |
transcript.whisperx[251].start |
7052.057 |
transcript.whisperx[251].end |
7075.577 |
transcript.whisperx[251].text |
你可以用文字叙述或者是一个意象图给他帮我想slogan他会帮你想然后我们再接那个slogan往下我觉得比较好发酵然后像那个刚才讲到挑水果那个都没问题像这个实际上你用拍的拍然后问他他是谁他会告诉你他会找会告诉你让各位了解一下现在诈骗集团整串是怎么操作的 |
transcript.whisperx[252].start |
7076.918 |
transcript.whisperx[252].end |
7095.197 |
transcript.whisperx[252].text |
这个我觉得拿来做行销好用可是因为现在诈骗集团就是拿来做社交工程的攻击那他怎么做第一个他会先去找知名粉砖那请问各位有加入任何粉砖吗加入粉砖的人是最好攻击的各位知道 |
transcript.whisperx[253].start |
7096.519 |
transcript.whisperx[253].end |
7121.751 |
transcript.whisperx[253].text |
因为他的概念是这样子他加入这个粉砖第二个用爬虫程式把这些粉砖的追踪粉丝全部抓下来那因为你是加入这个粉砖所以你对这个粉砖一定有一个特性你会有一个喜好所以我再去仿这个粉砖的特色去发相关的 message 给你那你就很容易中奖 |
transcript.whisperx[254].start |
7123.031 |
transcript.whisperx[254].end |
7145.931 |
transcript.whisperx[254].text |
这个其实是社交工程只是前面这一段是什么社工库收集接社交工程现在这种社交工程像各位看到上面这个告诉各位都没有技术现在只要怎么做下一步下一步生成就好了像这是生成的平台我只要打开它比如说要生成Google的登录页面这时候就生成好了 |
transcript.whisperx[255].start |
7146.571 |
transcript.whisperx[255].end |
7165.757 |
transcript.whisperx[255].text |
所以在各位的面前只會有什麼左邊的那一張圖跟右下的那個樣子所以一倒就直接倒出去了那過程中各位是不會有任何感覺的這就是目前的一個狀態可以網路很快收集到攻擊的標靶然後再利用你的資訊對你發動攻擊了 |
transcript.whisperx[256].start |
7167.658 |
transcript.whisperx[256].end |
7187.9 |
transcript.whisperx[256].text |
那因为你已经加入那个粉砖基本上只要仿那个粉砖粉砖的资讯出来我们是很难避免的这个都是目前常态性的攻击这样可以哦技术没有很难的你就按下一步下一步就有了这样子所以我个人建议是这样子网路上啊就算是官方给你的discount也不要相信的 |
transcript.whisperx[257].start |
7189.454 |
transcript.whisperx[257].end |
7205.223 |
transcript.whisperx[257].text |
这个真的有点麻烦因为这个我看过太多次了只要哪个官方出来有discount就开始有假的然后网路上就一堆这样子所以现在真真假假不太好分辨所以就算是真的你也不要再相信他了 |
transcript.whisperx[258].start |
7206.283 |
transcript.whisperx[258].end |
7232.049 |
transcript.whisperx[258].text |
第二个是现在的这些社群平台从出来到现在老实说已经收了我们太多的资讯了再加上互动的过程中可以去知道说你周遭人发生的状态我举一个Facebook以前我做过爬虫的状态我当初写的爬虫可以去爬你这个账户相关的八成 |
transcript.whisperx[259].start |
7234.062 |
transcript.whisperx[259].end |
7252.32 |
transcript.whisperx[259].text |
各位知道什么概念吗就你这个账户账户的朋友朋友的朋友朋友的朋友的朋友那做什么事情我可以抓八成这些相关账户现在发生了什么样的message你跟他互动的那个关联程度 |
transcript.whisperx[260].start |
7253.341 |
transcript.whisperx[260].end |
7270 |
transcript.whisperx[260].text |
比如说你的朋友现在的message是旅游好了你对这个旅游有资讯旅游资讯比较有兴趣的时候你就去对他做关联点击我再去访这个人发message给你就好现在都是这样供给各位听得懂吗 |
transcript.whisperx[261].start |
7271.441 |
transcript.whisperx[261].end |
7297.522 |
transcript.whisperx[261].text |
我分享一个也是我们公司之前发生真实例子你就知道现在可怕到什么程度上上个月我们公司内部发生一个我觉得怎么这件事情也到我们公司出现这样子他那个状态是这样子就是一早大概10点多然后有一个客户打电话给我们家然后说有一笔账户账款没有付然后要跟我们家的会计联络 |
transcript.whisperx[262].start |
7299.144 |
transcript.whisperx[262].end |
7306.706 |
transcript.whisperx[262].text |
那我们家会计就想说好那去查一下那通常就去查 PO 这些然后就诱导那个会计去加入 group |
transcript.whisperx[263].start |
7308.635 |
transcript.whisperx[263].end |
7333.373 |
transcript.whisperx[263].text |
然后加入公司就跟他对重点还真的有这个客户他跟你对有这个单子然后就说没有付款都这样对然后对了一圈最神奇的出现了还在对的过程中对方就仿冒我跟我们家的会计Message说那个账户有没有钱进来可是因为我的LINE不会用自己的本名 |
transcript.whisperx[264].start |
7335.231 |
transcript.whisperx[264].end |
7350.186 |
transcript.whisperx[264].text |
我都是用其他名字所以那个会计员就好像没有看过我的本名在LINE上面又回来问我我说你觉得这是我吗他说不是我说那就对了这就诈骗集团了怎么整个电话都打进去这样子 |
transcript.whisperx[265].start |
7351.866 |
transcript.whisperx[265].end |
7369.431 |
transcript.whisperx[265].text |
我们家有遇过实际上状态后来我去查了一下其实有一些半公开的资料基本上网络上都找得到所以要仿制你的名字或者是说你相关的资讯这是没有什么问题的目前只要有这种社群平台在就一直会有这种状态出现 |
transcript.whisperx[266].start |
7371.356 |
transcript.whisperx[266].end |
7391.797 |
transcript.whisperx[266].text |
先讲一下以前的搜寻比较不好的状态以前搜寻其实就是关键字搜寻关键搜寻的一个缺点是什么就是你在搜寻的过程中诈骗集团可以付他钱买关键字广告所以这时候最有趣的就出现了请问各位搜寻的时候会先去点前三笔还是翻到第10页点第100笔 |
transcript.whisperx[267].start |
7393.891 |
transcript.whisperx[267].end |
7421.193 |
transcript.whisperx[267].text |
不用看我以前也是点前三笔的人谁每次会点到后面去所以你就很容易点到错的传资料给他那另外一种是有时候我们会想说我要来查证这资讯是真还是假有没有越查越错因为他会付钱然后把一些错的放在最前面你就越查越错越查越错这样子这个搜寻引擎你只要用传统的找法都还有这个状态那一直讲这种 |
transcript.whisperx[268].start |
7422.114 |
transcript.whisperx[268].end |
7450.036 |
transcript.whisperx[268].text |
踩到假的网站我这边先教各位如何分辨三在半所以我特别准备了4张来考各位的眼睛我们先看左上角这一包这碗泡面各位觉得这是什么牌子的泡面我先讲这4张看不出来跟治安一点关系都没有是你的眼睛度数有问题这样可以 |
transcript.whisperx[269].start |
7452.699 |
transcript.whisperx[269].end |
7468.192 |
transcript.whisperx[269].text |
左上的那个叫做康帅博有看到中间是帅我都不知道各位看的什么右上那两罐茶的绿色字体是康师傅那黑色字体是什么不好意思我没有放大镜没有办法放大黑色字体是什么 |
transcript.whisperx[270].start |
7477.628 |
transcript.whisperx[270].end |
7496.358 |
transcript.whisperx[270].text |
看不出来我相信我直接跟各位分享比较快他是廉洁的廉一个叫康师傅一个叫廉师傅廉洁的廉有看到廉 廉洁的廉右下角那两罐汽水总看得出来了 |
transcript.whisperx[271].start |
7500.427 |
transcript.whisperx[271].end |
7518.705 |
transcript.whisperx[271].text |
一个是雪碧另外一罐呢云有看到吗一个是雪一个是云云我之前去大陆出差我超爱这种东西的我上次还找到各位看到旁边云碧的姐妹牌叫做雷碧 |
transcript.whisperx[272].start |
7520.566 |
transcript.whisperx[272].end |
7537.69 |
transcript.whisperx[272].text |
有他们有雷臂有真的有你上网找应该也看得到图的有雷臂有最后一张各位觉得那什么牌子的洗衣粉各位觉得是雕牌还是揍柱牌揍柱 雕 雕 揍柱所以是什么揍柱还是雕 雕还是揍柱 |
transcript.whisperx[273].start |
7544.531 |
transcript.whisperx[273].end |
7571.876 |
transcript.whisperx[273].text |
我们不要看红色的字要看右上角右上角的拼音跟你讲这叫周注这样可以那相信各位透过这四张的训练现在对山寨版都有一定的认知来我们最容易踩的陷阱在这里这叫山寨版的网站一样考各位一下这一个真这一个假那麻烦各位的眼睛找一下这两个网站不一样的地方在哪里 |
transcript.whisperx[274].start |
7577.819 |
transcript.whisperx[274].end |
7588.842 |
transcript.whisperx[274].text |
可是各位找的时间只有三秒钟超过三秒钟每一秒钟中毒一次所以现在中毒第三次第四次第五次平常中毒大概就这个感觉所以各位找到了吗各位找的有点久所以哪里有看到了吗 |
transcript.whisperx[275].start |
7604.468 |
transcript.whisperx[275].end |
7620.933 |
transcript.whisperx[275].text |
都没看到各位平常一定被这种骗因为这个在网路上只要有会员的系统就有这种假的网站一堆好了不要虐待各位的眼睛来这两个红色框框不一样而已所以是哪里不一样对 网址网址哪里不一样看得出来吗 |
transcript.whisperx[276].start |
7634.42 |
transcript.whisperx[276].end |
7650.059 |
transcript.whisperx[276].text |
对有人看到了一个是那个 www.china-alice真的是 l 了那假的是 www.china-airair 的后面是数字1一个是 l 一个是1这样有看到吗 |
transcript.whisperx[277].start |
7651.881 |
transcript.whisperx[277].end |
7669.989 |
transcript.whisperx[277].text |
这叫相亲自呼换这已经很久了他的目标其实就是各位踩到假的网站之后会传账号密码给他这是他的主要操作都是这样子这个在网络上还非常的多连什么网站都有再给各位看另外一个案例Costco都有Costco各位平常会去Costco吗 |
transcript.whisperx[278].start |
7675.928 |
transcript.whisperx[278].end |
7690.474 |
transcript.whisperx[278].text |
那是去网路商城还是去卖场有些人会去网路商城因为东西不太一样你不知道网址的时候你就会打关键字像第一个是真的可是有假的假的在这里然后点下去在这里 |
transcript.whisperx[279].start |
7692.664 |
transcript.whisperx[279].end |
7706.503 |
transcript.whisperx[279].text |
现在都这样做各位上面看到的网址还不一样可是你如果平常没在记你也不知道真的还是假所以我教各位我现在的做法这个我觉得比较实物一点 |
transcript.whisperx[280].start |
7707.725 |
transcript.whisperx[280].end |
7727.197 |
transcript.whisperx[280].text |
我现在去操作这种网站如果各位平常上网的时候去到这种网站第一页就跳出来跟你讲请输入账号密码有没有拜托各位不要看连结你学我很简单只要跳出这种请输入账号密码的你就先打假的假的会过那个网站就是有问题各位听得懂吗 |
transcript.whisperx[281].start |
7731.673 |
transcript.whisperx[281].end |
7750.51 |
transcript.whisperx[281].text |
你就給他打假的比如說帳號打123密碼打123如果會過那個網站就是有問題你不要再去分辨什麼L跟E 0跟O不要了啦因為有時候我們手機根本看不出來啊所以像我的習慣像這個信箱我就打111小老鼠111.1密碼打12345會過啊那第二就跟你講請輸入信用卡卡號 |
transcript.whisperx[282].start |
7755.652 |
transcript.whisperx[282].end |
7783.789 |
transcript.whisperx[282].text |
这边有账号密码这边有卡号然后再会帮你转回真的这个是他程式我把它解下来这边他就转回真的Costco的网址过程没感觉这样懂意思所以现在的习惯是只要操作过程中跳出来请输入账号密码你就打假的假的会跳到下一页那个都是有问题各位有没有人想说我打假的他会跟我讲说验证错误 |
transcript.whisperx[283].start |
7785.612 |
transcript.whisperx[283].end |
7794.589 |
transcript.whisperx[283].text |
当然不会因为他没有资料怎么帮你验证对这是我后来发现说干脆这样最快了所以你就给他打假的就对了假的会过就是有问题 |
transcript.whisperx[284].start |
7797.823 |
transcript.whisperx[284].end |
7817.332 |
transcript.whisperx[284].text |
这样可以因为现在这个太难避免了就是稍微提高警觉一下那这个是目前在网路也很多就是他会发那种红利点数越换通知我这边先问各位一下请问各位现在收到任何红利点数越换通知各位要当真的还是当假的各位觉得要当真的还当假的不对你要当真的 |
transcript.whisperx[285].start |
7825.123 |
transcript.whisperx[285].end |
7850.842 |
transcript.whisperx[285].text |
可是不能透过他给你的资讯操作我讲有原因的因为他们现在也会攻击那个网站攻击完之后会取得各位真实的资料用你真的资料骗你现在会这样做所以你把它当假的对不对可是资料是真的你的点数就浪费了所以像我的习惯好我知道这件事自己去官网操作 |
transcript.whisperx[286].start |
7851.923 |
transcript.whisperx[286].end |
7875.89 |
transcript.whisperx[286].text |
就是他透过邮件或简讯跟你讲那个我都不相信我就自己去就好了所以你要当真的可是不要透过他给你的讯息去操作这是目前来讲我建议各位可以这样子使用的部分这样可以因为我觉得这些诈骗集团越来越讨厌无所不用就是想办法骗我们这样子就是稍微提高警觉就对了这样子 |
transcript.whisperx[287].start |
7877.833 |
transcript.whisperx[287].end |
7889.703 |
transcript.whisperx[287].text |
来开始教各位目前有哪些AI可以使用在教这段之前应该先询问各位各位目前有用过哪一些AI的平台有用过不是听过各位有用过的有哪一些CHPTCopilotGimili还有吗 |
transcript.whisperx[288].start |
7909.446 |
transcript.whisperx[288].end |
7927.849 |
transcript.whisperx[288].text |
各位用的真少少到不行以目前来讲虽然说比如说像GPT跟你讲说可以铲图对不对以我个人会建议我们去专业铲图的那个会再更好我等一下会介绍给各位有一些可以用的以目前AI其实有分强跟弱 |
transcript.whisperx[289].start |
7929.851 |
transcript.whisperx[289].end |
7946.003 |
transcript.whisperx[289].text |
强跟弱我们要会操作强的那一边弱的我个人觉得就是尽量少用因为你很容易被框住那什么叫做强什么叫做弱强其实它的概念是这样子它会跨专家知识库 |
transcript.whisperx[290].start |
7948.084 |
transcript.whisperx[290].end |
7964.568 |
transcript.whisperx[290].text |
所以他没有特别的定义他是什么你在操作过程中你要定义他是什么这才是重点弱的就是你不用任何定义你给他资讯他就给你相关的专家知识库答案像什么这些都是弱的 |
transcript.whisperx[291].start |
7971.826 |
transcript.whisperx[291].end |
7998.668 |
transcript.whisperx[291].text |
像夏威夷然后Siri然后车牌辨识这个现在都是落的就单专家知识库这都落的所以在使用其实如果你是以前使用方式其实要稍微调整一下目前这种发展老实说没有很久大概近三年左右而已这应该考各位了CheckGPT听过吗目前CheckGPT最新版本是多少 |
transcript.whisperx[292].start |
8001.604 |
transcript.whisperx[292].end |
8008.249 |
transcript.whisperx[292].text |
不知道他刚出来是3.5所以现在是多少现在最新是5 |
transcript.whisperx[293].start |
8010.375 |
transcript.whisperx[293].end |
8038.123 |
transcript.whisperx[293].text |
5最新是5他不要讲数字他光一阵子就会出一个新的功能新的module这样子所以其实如果各位要去使用的话你会发现他有很多新的一直延伸出来一直延伸出来在使用的部分我先教各位因为这个我一直觉得各位在操作好像没有人教你说目前这种平台大概要怎么操作所以基本上我们大概有轮廓知道怎么操作 |
transcript.whisperx[294].start |
8039.103 |
transcript.whisperx[294].end |
8060.845 |
transcript.whisperx[294].text |
你把想像一下第一个就是他肚子有的data第二个是你要叫这些data做什么事情那他肚子里面的data我个人由衷的建议现在越来越不要相信他为什么因为那个data一直没有去做校正然后像以前我们在学电脑的时候都会讲那嘎啡君嘎啡君奥 |
transcript.whisperx[295].start |
8061.866 |
transcript.whisperx[295].end |
8088.107 |
transcript.whisperx[295].text |
他的资料越来越错越来越错然后错到最后我觉得看似合理可是错得很怪各位可以分辨是没有问题的为什么因为我们可以用我们的经验或者知识去分辨那是ok的可是现在有很多刚接触或者是知识量比较没那么足的时候你没办法分辨你就会觉得是对这个我觉得是一个比较不太好的一个状态 |
transcript.whisperx[296].start |
8089.284 |
transcript.whisperx[296].end |
8093.853 |
transcript.whisperx[296].text |
那像上面的資料在操作的部分基本上是這四個階段 |
transcript.whisperx[297].start |
8097.077 |
transcript.whisperx[297].end |
8120.367 |
transcript.whisperx[297].text |
這是操作的重點各位以前都沒有這樣操作我都覺得怎麼會那麼可愛第一個你要定義他是誰他的專業背景是誰因為他沒有專家知識庫你沒有定義他是誰那跑出來每次答案都不一樣就會非常的奇葩所以第一個你一定要定義他是誰比如說各位平常會去排schedule行程嗎去哪裡玩以前我們可能說幫我排哪裡 |
transcript.whisperx[298].start |
8125.066 |
transcript.whisperx[298].end |
8138.844 |
transcript.whisperx[298].text |
二日遊行程不對啦你要跟他講你是當地的導遊專長什麼領域幫我排當地二日遊行程行程裡面要有什麼特殊的東西這樣排出來才會正確 |
transcript.whisperx[299].start |
8140.046 |
transcript.whisperx[299].end |
8155.967 |
transcript.whisperx[299].text |
也就是第一个你要定角色那第二个就要做什么事情然后再什么格式产出最后你可以去限制比如说你的文字应该是多少的内容或者是我要简报格式输出大概是要用这种方式去做叙述 |
transcript.whisperx[300].start |
8157.358 |
transcript.whisperx[300].end |
8182.416 |
transcript.whisperx[300].text |
讲比较累操作没有那么累操作你可以用讲的其实就讲完了也会非常的正确这边题外话一下在座有修硕班博班有需要教各位快速阐述前三章吗没问题我可以教你而且还不会有学轮的问题绝对不会你想说那个会不会引注错误我跟你讲有一招大绝招可以把引注全部再对一次 |
transcript.whisperx[301].start |
8185.586 |
transcript.whisperx[301].end |
8213.384 |
transcript.whisperx[301].text |
没关系有需要你再来找我我再跟你讲这样子看起来不是全部人都有这样的需要这样有需要你再来问我我跟你讲怎么做这样子现在很快这四段其实你只要记这四个字就好我们以前的操作重点是落在中间叫关键字搜寻现在的重点是头跟尾头尾你是谁做什么事情各位听到这边会操作了吗 |
transcript.whisperx[302].start |
8215.814 |
transcript.whisperx[302].end |
8244.248 |
transcript.whisperx[302].text |
还是不太懂那我教各位大绝招这个你记下来如果你这些都不会操作我教你怎么操作你可以跟TriggerPT讲说你是人我是TriggerPT叫他问你可以角色互换叫他问你他问你完你有发想之后你再回去问他两个角色可以互换 |
transcript.whisperx[303].start |
8246.741 |
transcript.whisperx[303].end |
8264.166 |
transcript.whisperx[303].text |
我之前在带我们家小孩子都是跟这些玩那个成语接龙然后他就跟你成语接龙各位也不会这样玩吗要不然小伙伴用每天都吵你你烦都烦死了那开一个叫他自己跟他接龙啊那就一直接下去这 |
transcript.whisperx[304].start |
8267.563 |
transcript.whisperx[304].end |
8294.914 |
transcript.whisperx[304].text |
老师我比较科技养小孩的我觉得每个都要弄三次有点累这样子需要这些来养这样子没有了真的还蛮好玩的就是有些有趣的东西然后像CHP最基本的能力这些都基本了比如一问一答然后帮你做分类写程式也没问题你不会写程式你就要写会写的比你快然后可以做对话生成翻译那个翻译我教各位那个翻译非常有趣 |
transcript.whisperx[305].start |
8295.834 |
transcript.whisperx[305].end |
8299.083 |
transcript.whisperx[305].text |
各位平常有需要看国外的一些paper吗有需要那都自己看吗 |
transcript.whisperx[306].start |
8304.689 |
transcript.whisperx[306].end |
8326.7 |
transcript.whisperx[306].text |
是好我教各位现在我都怎么看我之前太无聊跑去进修了那我进修的时候其实那个第一堂课的时候通常教授就会打开然后其中要教什么期末要教什么丢了一个题目嘛那最后要pre-learn然后通常他还没有讲完的时候我就已经把其中期末的那个pre-learn的PPT都做完就丢上去了怎么做叫他去读 |
transcript.whisperx[307].start |
8331.88 |
transcript.whisperx[307].end |
8336.484 |
transcript.whisperx[307].text |
你可以叫ChurchBG讀裡面的內容叫他 summarize 重點給你你其實一下就看完了我是這樣子做的我不知道各位怎麼做而且他不是只有限英文他支援語系還蠻多的可以互換 |
transcript.whisperx[308].start |
8349.963 |
transcript.whisperx[308].end |
8365.611 |
transcript.whisperx[308].text |
然后有时候还不是只有可以看文章有时候像人家讲的一些影片教他去读因为影片我觉得很累部分是因为你看完影片30分钟就要看30分钟可是你教他读完惨重点大概2分钟就做完全部的事情了我就可以大量涉略了 |
transcript.whisperx[309].start |
8368.261 |
transcript.whisperx[309].end |
8385.973 |
transcript.whisperx[309].text |
所以各位平常也不要这样好用我觉得现在学习都没有限制你要看什么文章看不对我修正一下有限制我上次叫他去读那个古印度语他读不出来他不认识还是有语言的限制只是大多数是没限制的 |
transcript.whisperx[310].start |
8387.374 |
transcript.whisperx[310].end |
8409.746 |
transcript.whisperx[310].text |
什么东西错的会最离谱跟各位分享图 图错的会最离谱图基本上它的差异的部分是你要跟他讲风格 画风像上面这张图其实就是旁边这些叙述把它勾起来的我之前有做过一个实验让他铲图这件事情他有铲过很奇葩的状态 |
transcript.whisperx[311].start |
8410.726 |
transcript.whisperx[311].end |
8421.348 |
transcript.whisperx[311].text |
我當時候是希望他可以畫一個車水馬龍的街道那我頭的意象是上面這個那他畫完啊超我的想像會變這樣子那我也不能說他錯你知道嗎他把四個字拆開然後個別構圖在兜上來然後他就產了一張圖出來這樣子 |
transcript.whisperx[312].start |
8437.927 |
transcript.whisperx[312].end |
8443.311 |
transcript.whisperx[312].text |
車子各位知道在哪裡嗎在水道上馬在哪裡知道嗎就是龍的頭馬的身體應該有看出來以目前圖錯誤率還很高然後文字的錯誤率我覺得因為近期各位一直在用他的錯誤率怎麼講專業性的錯誤率變高了可是普羅大眾知識的錯誤率變低了 |
transcript.whisperx[313].start |
8467.348 |
transcript.whisperx[313].end |
8483.595 |
transcript.whisperx[313].text |
像CHATGP刚出来第一次我在台中上课我觉得要叫他排台中六日游两天的行程他排一个超奇葩的他叫你礼拜六早上在台中礼拜六早上可以逛台中的动物园各位听起来觉得哪里怪台中没有动物园我不知道他动物园是哪里生出来的 |
transcript.whisperx[314].start |
8493.291 |
transcript.whisperx[314].end |
8512.771 |
transcript.whisperx[314].text |
然后隔下一周再输入一样的对不对就调整完了就没有了所以普罗大众的知识有一些都有校正过可是冷门的知识可能就比较难校正所以我觉得冷门知识的出率还是偏高后面教各位一些平台这一页我还是要宣导一下 |
transcript.whisperx[315].start |
8514.172 |
transcript.whisperx[315].end |
8542.326 |
transcript.whisperx[315].text |
因为现在所有的这些AI的平台都是Cloud所以你在上面输入东西其实如果是一些敏感的或者是跟公务相关的我个人建议是不能丢上去因为丢上去就出去了甚至我也可以透过搜寻就知道目前哪个公司在搜寻什么东西或问什么东西反过来就会变另外一种攻击所以如果你真的要使用 |
transcript.whisperx[316].start |
8543.206 |
transcript.whisperx[316].end |
8569.373 |
transcript.whisperx[316].text |
像我的我还是会用我的用法会把一个问题拆给拆成N个问题给不同平台再拉回来给自己我不会一个平台什么都在那边问什么我就不会这样子就是这个可能要稍微注意一下这是操作的一个小技巧刚才讲的叙述是如果各位不会这边有叙述是大全 |
transcript.whisperx[317].start |
8571.852 |
transcript.whisperx[317].end |
8593.591 |
transcript.whisperx[317].text |
如果各位你不会这边你就去参考了这边有叙述是大全我觉得各位的问题是叙述是还不是很熟第二个最大的问题是各位的工具不够多所以我特别准备了工具在这里给各位这边有个连结上面就一坨所有相关的工具 |
transcript.whisperx[318].start |
8594.71 |
transcript.whisperx[318].end |
8613.155 |
transcript.whisperx[318].text |
那比较适合在哪些作业操作专业的工具你不要什么都用TradeGBT不好啦就是该绘图就用绘图然后该产简报你就用那产简报的刚好讲到产简报各位平常有需要写简报吗也很少各位知道国小寒暑假没有作业我都要教小朋友做简报你知道吗 |
transcript.whisperx[319].start |
8621.809 |
transcript.whisperx[319].end |
8648.652 |
transcript.whisperx[319].text |
然后为了教小朋友做简报后来我发现不行因为我们家有三个教完一个之后要教第二个教第三个我觉得这样不行然后后来我就教老大怎么做简报后来叫他去教后面两个我觉得这样不行然后我等下教各位怎么做简报那简报很有趣你有资料丢给他他当然就做简报没问题你没有资料只有想法他也可以帮各位把图文的简报做完 |
transcript.whisperx[320].start |
8650.213 |
transcript.whisperx[320].end |
8660.106 |
transcript.whisperx[320].text |
这样懂意思这是我觉得还蛮夸张的一个状态基本上这四个领域至少要会一两个 |
transcript.whisperx[321].start |
8661.946 |
transcript.whisperx[321].end |
8682.258 |
transcript.whisperx[321].text |
就是每个领域要一两个像现在搜寻的部分你可以用GPT Compiler或者是GPT部分去做搜寻然后或者是你可以用他们来做所谓的内容的编辑然后资料整理那四个我觉得哪一个最好用是第一个那个叫 Notebook LM那个真的好用 |
transcript.whisperx[322].start |
8683.298 |
transcript.whisperx[322].end |
8706.51 |
transcript.whisperx[322].text |
因为以前我们那个大量的资料你在做那个资料整理的部分你要花好多时间现在没有了就是把那些历史资料把它喂给他那中间就可以做提问这样子而且他的历史资料图文影像都吃这样子我就觉得整理上面就非常的方便这样子他底下有那个写简报的部分他叫各位操作一下 |
transcript.whisperx[323].start |
8707.931 |
transcript.whisperx[323].end |
8718.022 |
transcript.whisperx[323].text |
刚才跟各位讲说今天至少要教各位回去写歌有没有所以现在教各位怎么写歌这样子回去可以自己写一下 |
transcript.whisperx[324].start |
8722.955 |
transcript.whisperx[324].end |
8751.05 |
transcript.whisperx[324].text |
这个是指定大全指定大全其实就是叙述室就是看你要什么的叙述室你可以利用这些叙述室去做延伸你只要修改就好了那第二个是这里这叫工具大全那这边有很多的那个说明那他就是你把它点下去之后他这边就会跳相关的哪几个平台出那我觉得比较好用的部分是什么就是他跳出来会跟你讲付费免费中文英文 |
transcript.whisperx[325].start |
8752.131 |
transcript.whisperx[325].end |
8775.076 |
transcript.whisperx[325].text |
这个属性举例来讲这个跟那个文件处理这几个属性都是一起的功能是一起的那你就可以找几个来操作一下那他的内容基本上他会跟CheckGPT那些一定是不一样的因为这些是专属性的功能就是建议各位可以选一些专属性的功能那教各位写歌这里 |
transcript.whisperx[326].start |
8776.718 |
transcript.whisperx[326].end |
8803.559 |
transcript.whisperx[326].text |
这个这个这个这个各位平常办活动会用到主题曲吗各位的主题曲是用付费的还是不用钱有很多不用钱到时候都跟你讲侵权你知道吗我教你以后主题曲自己弄而且又会比较好就这个你把它点这个那点下去之后等一下它会长这里这个然后不用钱 |
transcript.whisperx[327].start |
8805.646 |
transcript.whisperx[327].end |
8816.493 |
transcript.whisperx[327].text |
然後我生成一個給各位看我這邊隨便抓了因為剛才就找一個新聞那這邊有個什麼最雷台灣景點我叫他唱最雷台灣景點的一首歌好了 |
transcript.whisperx[328].start |
8820.836 |
transcript.whisperx[328].end |
8838.37 |
transcript.whisperx[328].text |
你可以打敘述式打關鍵字這邊可以選曲風選完曲風之後你這邊按生成目前就正在作詞作曲並且在唱這首歌沒有 現在已經在唱了唱完了播給各位聽一下好了什麼叫台灣最雷晴點要不然各位怎麼會知道 |
transcript.whisperx[329].start |
8851.192 |
transcript.whisperx[329].end |
8854.764 |
transcript.whisperx[329].text |
就是我選曲風的關鍵我把它選那個Rap的那個曲風就是你可以選哪多曲風 |
transcript.whisperx[330].start |
8866.231 |
transcript.whisperx[330].end |
8888.016 |
transcript.whisperx[330].text |
這邊有池啦他池在這裡這裡這是剛產出來的那你如果覺得這不滿意沒關係你可以自己再改他就會再重新分割然後通常會有兩個版本剛才是第一個版本啊這是第二個版本 |
transcript.whisperx[331].start |
8890.077 |
transcript.whisperx[331].end |
8899.319 |
transcript.whisperx[331].text |
他這平台無限生成沒有限制就看你要生多少都可以一直生可以嗎各位回去會寫歌了吧 |
transcript.whisperx[332].start |
8914.025 |
transcript.whisperx[332].end |
8940.373 |
transcript.whisperx[332].text |
没有很难吧然后他可以转出是那个 mp3对按钮转 mp3 的档案了啊曲风你可以自己选啊曲风在这里了这里这里这里这里有看到这边我拉来拉去这个他有一堆曲风了看你要什么曲风这样子你要觉得这曲风不好你就换这样换比如说把这个拿掉然后换这个然后再生成啊这时候就换了 |
transcript.whisperx[333].start |
8941.893 |
transcript.whisperx[333].end |
8954.616 |
transcript.whisperx[333].text |
現在是換曲風可是因為我給他那個敘述是一樣所以各位可以再聽看看變成什麼樣他通常那個裡面的那個詞也會不一樣這時候已經好了這換了Neon temples in the rainThey don't they fadeCrowns from the guns on a crack parade |
transcript.whisperx[334].start |
8976.043 |
transcript.whisperx[334].end |
8991.626 |
transcript.whisperx[334].text |
這樣各位會寫歌了吧有沒有覺得什麼現在突然解鎖很多技能沒有就平台要會用啦會用差異就非常大然後這個來產檢報給各位看 |
transcript.whisperx[335].start |
9002.375 |
transcript.whisperx[335].end |
9015.724 |
transcript.whisperx[335].text |
这个我一样复制这个关键字因为我觉得这还蛮有趣的就是这个复制然后产检报现在用最多的会是这个这个这个有用功吗 |
transcript.whisperx[336].start |
9017.378 |
transcript.whisperx[336].end |
9034.406 |
transcript.whisperx[336].text |
没有各位如果加入免费是200点一次简报扣40点请问各位200点用完再来换个账号再来一次又200点这样子就看各位这也可以用推荐的我这还有产一次我产一次给各位看 |
transcript.whisperx[337].start |
9035.706 |
transcript.whisperx[337].end |
9054.513 |
transcript.whisperx[337].text |
那他可以用新增的你可以贴文字那像刚才小朋友那个寒暑假我就叫他先list把他暑假的经历先大概字写出来然后贴到存文字上面然后所有的那个比如说两个月做了什么事情就在上面那他就会产简报图文的简报嘛 |
transcript.whisperx[338].start |
9056.154 |
transcript.whisperx[338].end |
9071.183 |
transcript.whisperx[338].text |
產完之後再叫他做一件事把上面的圖換成他拍照的那些圖那就做完了這一個是你有網頁或者有檔案完整給他他幫你整理成簡報我讓各位看哪個最神奇中間這個這個只要敘述是或者給他個keyword也可以幫你產完圖文的簡報我剛才不是有個keyword |
transcript.whisperx[339].start |
9085.103 |
transcript.whisperx[339].end |
9095.492 |
transcript.whisperx[339].text |
这个没有人会写这种简报所以我让他产简报大家第一个会先生成什么简报大纲我先让他生成简报大纲给各位看一下现在是正在写简报中各位怎么没有觉得特别的惊讶各位知道写简报要准备多少质量 |
transcript.whisperx[340].start |
9109.113 |
transcript.whisperx[340].end |
9129.362 |
transcript.whisperx[340].text |
免费的最多10页了付费的会比较多页了我就因为这是免费的我就操作给各位看我文字让他多一点好了这我选详细一点点然后给他一个比较排的背景图这边会有AI绘图他的图是他的简报是图文的简报这时候我底下都不动了我让他生成 |
transcript.whisperx[341].start |
9132.543 |
transcript.whisperx[341].end |
9141.23 |
transcript.whisperx[341].text |
我现在是用刚才马上抓的标题让他去产一个简报所以他把大纲产完之后现在是在做图文的简报各位写简报有他快吗现在应该有点难因为我要去收集资料什么的 |
transcript.whisperx[342].start |
9154.201 |
transcript.whisperx[342].end |
9165.425 |
transcript.whisperx[342].text |
这样我先让他铲完然后play一下给各位看各位才会知道原来那么好用这样他铲完了10张就做完了那把它播一下给各位看一下我快速点一下这样子有看到吧 |
transcript.whisperx[343].start |
9185.069 |
transcript.whisperx[343].end |
9196.385 |
transcript.whisperx[343].text |
看似很正确其实出入率还蛮高的就是看起来很吓人做到漂亮这样其实是假的那边有问题吗 |
transcript.whisperx[344].start |
9198.906 |
transcript.whisperx[344].end |
9217.083 |
transcript.whisperx[344].text |
圖不要太相信他圖通話錯誤率非常的高圖的錯誤率真的很高然後內容嘛看起來好像很正確實際上要對一下可是他已經可以幫各位把那個骨頭全部都拉完了然後裡面實際上的文字你再去調整就可以了有沒有這樣就做完了有沒有發現現在原來做簡報好像也沒什麼應該有發現吧我覺得很快 |
transcript.whisperx[345].start |
9226.707 |
transcript.whisperx[345].end |
9241.25 |
transcript.whisperx[345].text |
那平常会这样子写简报吗还好来我给各位看那个之前我在另外一地方产一个很错的很夸张的简报图这个好我把它play一下好请问各位错在哪里看得出来吗错在哪里 |
transcript.whisperx[346].start |
9259.434 |
transcript.whisperx[346].end |
9260.234 |
transcript.whisperx[346].text |
不知道各位看不出來嗎各位以後會被 AI 導引因為你們完全沒辦法分辨錯誤這樣很可怕那個圖的花不是油桶花那個不是桶花 |
transcript.whisperx[347].start |
9282.485 |
transcript.whisperx[347].end |
9288.689 |
transcript.whisperx[347].text |
這樣懂我再給各位看一個更誇張的可是這個有時候要看各位有沒有去過這個我覺得當時候他也給我傳一個很奇葩的圖圖錯誤率現在都很高這樣子總看得出哪裡有問題各位有看過彰化大佛嗎 |
transcript.whisperx[348].start |
9305.831 |
transcript.whisperx[348].end |
9328.615 |
transcript.whisperx[348].text |
我记得是黑色的我的印象是黑色的应该不是白色的对可是一般人可能没有去过什么你可能好像是对没有所以我一直跟各位提醒那个图的错误率是高的这刚好有几个案例给各位看这样子如果各位要整理资料我个人觉得这个真的好用就是 notebook lm |
transcript.whisperx[349].start |
9331.876 |
transcript.whisperx[349].end |
9354.566 |
transcript.whisperx[349].text |
他的做法其实概念很简单像我们去TradeGPT找其实他会飘就是那个因为他资料每次找其一部一样会飘那Notebook LVM的部分你就第一个你要把你的相关的一些data的部分把它丢上来那他可以支援图你常见的文档连影音都可以那你丢上来之后你这边可以做提问 |
transcript.whisperx[350].start |
9355.906 |
transcript.whisperx[350].end |
9379.762 |
transcript.whisperx[350].text |
他就可以针对这些内容去铲你里面的一个提问的答案这样子这个我之前用在什么地方所以之前有个朋友他们公司刚好有个案例然后那个案例就是他们每年都会接到民众投诉投诉什么投诉退休金算错各位知道是哪个单位吗 |
transcript.whisperx[351].start |
9385.478 |
transcript.whisperx[351].end |
9397.28 |
transcript.whisperx[351].text |
就退休金算错啊哪个单位不知道某一家银行了就你们楼下在领款的那一家银行了 |
transcript.whisperx[352].start |
9400.391 |
transcript.whisperx[352].end |
9420.196 |
transcript.whisperx[352].text |
他是这样子那个案子有上法庭然后对方是败诉所以说有判决出来他就提了一个问题给我就是说因为他原本这个承办快退休了可是这个民众每年都会来投诉一次他说可不可以把他经验传承下来 |
transcript.whisperx[353].start |
9421.797 |
transcript.whisperx[353].end |
9444.853 |
transcript.whisperx[353].text |
我当时候就想说这个看起来比较像是把以前的资料汇整我当时候就做了一件事情就是第一个上面各位看到最左边这边我就把以前判决书的判例把它弄上去然后还有以前往来的邮件弄上去然后就疑问一答弄上去中间就把它今年没有过来的投诉 |
transcript.whisperx[354].start |
9445.753 |
transcript.whisperx[354].end |
9473.776 |
transcript.whisperx[354].text |
喂给他然后叫他依之前的回应产回应的邮件他当时候产回应邮件产了8个重点然后再把8个重点给快退休的看看有没有keep到里面的重点项目其实都有唯一比较大的差异是用字遣词的部分可能要稍微再柔和一点就只有这个差异而已 |
transcript.whisperx[355].start |
9474.396 |
transcript.whisperx[355].end |
9502.198 |
transcript.whisperx[355].text |
所以我觉得这个整理资料还蛮好用的而且上面这个案例各位可能看起来好像没有什么其实这个案例才有趣各位有没有看到我左边我都给他上传什么各位没感觉我左边上传全部都是YT的影片是叫他去截这些影片里面的重点然后再去做提问影片你如果存档案那些我都觉得现在没什么那是影片 |
transcript.whisperx[356].start |
9505.003 |
transcript.whisperx[356].end |
9528.089 |
transcript.whisperx[356].text |
各位平常有需要整理影片的资料再叫他读读完之后就重点了重点再往下就很快所以这是可以吃影片然后免费版最多50个档案是全部50个不是一个50个全部50个你可以回去用一下这是基本功能我觉得这些就是一定要拿来用的 |
transcript.whisperx[357].start |
9529.989 |
transcript.whisperx[357].end |
9558.284 |
transcript.whisperx[357].text |
我个人比较由衷的建议是这样子就是要不你这些要非常的上手非常的顺要不你就都不要用现在只有二分法就是要不就跟上车这样要不你就不要上车可是不要上车的人你可能要考虑去挖个山洞点蜡烛就现在我觉得就很明就真的很明显就是会用跟不会用的差异差非常的大举例来讲各位平常会写企划书吗 |
transcript.whisperx[358].start |
9561.064 |
transcript.whisperx[358].end |
9583.107 |
transcript.whisperx[358].text |
也不会现在可以叫他把企划书朝你拟完然后再往下现在都是会用一些方法处理甚至可以叫他去审企划书里面是不是有亮点现在都审得出来对了就是要会用一下我个人是这样建议的要不然这些骇客都用的比各位早才可怕 |
transcript.whisperx[359].start |
9584.662 |
transcript.whisperx[359].end |
9610.813 |
transcript.whisperx[359].text |
这个刚出来其实就有一堆駭客拿来用了为什么因为以前要去跨领域学习这件事是很头痛的所以现在基本上没有跨领域这件事情反正你只要会操作对的平台然后去收集一些相关的资料就可以甚至有一种駭客更坏一开始就在他们这些肚子里面去买一张东西让各位搜寻就是错的最明显的例子在今年就发生了 |
transcript.whisperx[360].start |
9612.013 |
transcript.whisperx[360].end |
9633.672 |
transcript.whisperx[360].text |
就是有那個駭客在寫程式的提問裡面去跟大家講裡面應該加什麼什麼的功能所以這時候你在問他的時候他就會自己加了那個功能在裡面等同是什麼等同是二一程式在裡面我現在已經有看到這種案例了所以各位回去都可以稍微要注意一下這些狀態 |
transcript.whisperx[361].start |
9634.973 |
transcript.whisperx[361].end |
9649.97 |
transcript.whisperx[361].text |
那越知名的账户其实他的那个受信程度其实相对比较高那当然有些Hacker就会想去入侵这些账户再去做使用这都是当时候就有到现在都还有的状态那给各位看一下写成是这个 |
transcript.whisperx[362].start |
9651.752 |
transcript.whisperx[362].end |
9665.831 |
transcript.whisperx[362].text |
以目前这些AI的进展很直接已经影响到某一些工作族群非常直接第一个被影响的是各位知道外面有兼职翻译 |
transcript.whisperx[363].start |
9667.313 |
transcript.whisperx[363].end |
9683.563 |
transcript.whisperx[363].text |
那个已经被影响了因为现在的翻译不是Google翻译是AI for 专业翻译现在不是Google翻译那翻出来真的是跟他们现在用人翻基本上没什么差异各位会专业翻译吗有需要教吗 |
transcript.whisperx[364].start |
9688.12 |
transcript.whisperx[364].end |
9705.522 |
transcript.whisperx[364].text |
好我等一下如果有时间我翻两页让各位拍一下你就会专业翻译哎那没问题而且翻出来就不是以前那什么 google翻译没这件事情完全没有所以像那个翻译的被取代就兼职了当然有些还是需要人去翻了第二个我觉得最容易被取代是什么写程式的 |
transcript.whisperx[365].start |
9707.102 |
transcript.whisperx[365].end |
9731.689 |
transcript.whisperx[365].text |
这个是那个这个OpenAI里面的一个forall就是专门写程式的forall你就叙述然后跟他讲你是程式设计师帮我用什么程式写什么功能他就写了上面这是他自己在写那写完你再comply看会不会动这样就好了那你也可以叫他去做所谓的坏事各位会叫这些平台做坏事吗知道什么叫做坏事吗 |
transcript.whisperx[366].start |
9739.123 |
transcript.whisperx[366].end |
9764.13 |
transcript.whisperx[366].text |
现在你叫他做坏事他不会做刚出来的时候你叫他做坏事都很可爱就真的会去做像什么坏事我举个例子比如说你跟他讲我现在想要制作炸弹然后他就问你说你要制作什么炸弹你再继续往下提问比如说我要制造黄色炸弹然后要什么原料他就告诉你这个炸弹要什么什么原料然后原料列完了再来再来再来再来 |
transcript.whisperx[367].start |
9767.833 |
transcript.whisperx[367].end |
9787.8 |
transcript.whisperx[367].text |
你问他去哪里买然后他就跟你讲可恩去哪里买以前真的是可以的刚出来的时候现在你叫他这样做他会跟你讲你叫我做坏事我不铲除像他们现在也有年龄限制因为他们会做那个保护所以那个18岁以下的账号他是不让使用的 |
transcript.whisperx[368].start |
9789.133 |
transcript.whisperx[368].end |
9803.784 |
transcript.whisperx[368].text |
就是这些平台是不让使用的所以18岁以下的小朋友会怎么使用用你的账号使用就会变这样子所以自己要稍微控管一下这是我当时我的案例我就叫他写攻击程式 |
transcript.whisperx[369].start |
9806.027 |
transcript.whisperx[369].end |
9823.705 |
transcript.whisperx[369].text |
要有趣是这个就叫他写就直接出现了现在一样叫他去写攻击程式像上面这个序字他就会说不行因为我们人是比较聪明的所以就换句话说只要他不认识就一样可以产出攻击程式 |
transcript.whisperx[370].start |
9825.186 |
transcript.whisperx[370].end |
9851.133 |
transcript.whisperx[370].text |
我的意思是我们要比较聪明当他说不产出的时候我们就换句话说他不认识一样可以产出当一个问题被他解释出来之后你如果要让他没办法解释这问题很简单你就让他猜成两个小问题他不认识也就直接产出我们是比较聪明的这个我有做过一个实验就是实验是这样子 |
transcript.whisperx[371].start |
9852.333 |
transcript.whisperx[371].end |
9877.732 |
transcript.whisperx[371].text |
因为在安全检测上面会分好几段第一段是先把东西写出来第二个是检测有没有问题第三个是把检测出来有问题去修正那以前这三段要三个不同的人或者是你要有这些综合的专业现在这三段可以一起做完第一个就叫他写程式第二个叫他去检查程式有没有问题那检查完之后你还可以叫他去针对检查出来的问题去做修正三个就一起做完 |
transcript.whisperx[372].start |
9879.173 |
transcript.whisperx[372].end |
9894.708 |
transcript.whisperx[372].text |
以前要拆三段没有现在你自己操作三段就做完了那你也可以叫他去盘点常看到网站的直网域或者是叫他去查这个网站本身是不是有安全的问题这个都可以检查 |
transcript.whisperx[373].start |
9896.562 |
transcript.whisperx[373].end |
9912.581 |
transcript.whisperx[373].text |
所以很好用啊所以現在有很多功能都可以這樣使用那既然在上課啊總是要分享一些special的給各位來我分享一下這一個是沒有功能限制的這樣聽得懂意思嗎 |
transcript.whisperx[374].start |
9915.225 |
transcript.whisperx[374].end |
9936.344 |
transcript.whisperx[374].text |
怎么听不太懂确GPD那个人性本身叫你不能叫我做坏事这个你叫他做坏事一样造产出这样子网路上有很多是没有功能限制的对这个就是没有功能限制的这样可以有些总是要找一些没有功能限制的要不然什么都功能限制还得了这样子可以 |
transcript.whisperx[375].start |
9940.167 |
transcript.whisperx[375].end |
9947.782 |
transcript.whisperx[375].text |
我怎么觉得各位平常真的好像不太会用这些还有点是借我翻一下我真的要帮各位把这些先补一下 |
transcript.whisperx[376].start |
9989.821 |
transcript.whisperx[376].end |
10002.767 |
transcript.whisperx[376].text |
我教各位幾個延伸的使用第一個我先教各位因為現在這些平台有眼睛各位現在也有眼睛所以考各位請問各位這裡是台灣的哪裡你確定 |
transcript.whisperx[377].start |
10008.86 |
transcript.whisperx[377].end |
10020.187 |
transcript.whisperx[377].text |
这个每次我找在北部询问就一个人家就会告诉我是基隆这个不是基隆这是那个高雄的那个什么彩色岛博二哎哥有去过吗这高雄真的啦这是高雄这不是那个政兵不是来来来我们来验证一下啊他丢上去问他说这里是哪里等我一下 |
transcript.whisperx[378].start |
10073.473 |
transcript.whisperx[378].end |
10076.614 |
transcript.whisperx[378].text |
這樣子不好意思丟上去問他這裡是哪裡這樣子那他會去做識別然後告訴你一些相關的資訊那就可以去做判讀 |
transcript.whisperx[379].start |
10103.809 |
transcript.whisperx[379].end |
10113.567 |
transcript.whisperx[379].text |
有看到吗这是那个奇景我记得是高雄这个不是那个不是我们一般看到第一眼就说是震屏这其实不是 |
transcript.whisperx[380].start |
10115.347 |
transcript.whisperx[380].end |
10137.986 |
transcript.whisperx[380].text |
所以各位有很多那個不知道東西丟上去他會幫你做識別所以現在我的意思是現在有眼睛挑水果什麼那都沒有問題我就丟上去問他就好所以這是基本操作了我先把一些基本的先跟各位講一下因為各位好像有一些操作沒有那麼熟悉就是現在有眼睛所以你不知道你就丟上去就可以了然後像這個 |
transcript.whisperx[381].start |
10143.05 |
transcript.whisperx[381].end |
10154.083 |
transcript.whisperx[381].text |
刚才不是跟各位讲说可以去做那个翻译这件事情吗上面这边有个网站那请问各位有没有办法在三秒钟告诉我这个网站在写什么东西时间到所以各位可以吗 |
transcript.whisperx[382].start |
10160.515 |
transcript.whisperx[382].end |
10177.892 |
transcript.whisperx[382].text |
不行這樣各位涉獵資訊太慢了來我教各位大絕招這也是我現在常用的來這都沒有在slide上這都新增的了來我教你怎麼操作很簡單第一個有看到這個第一步記連結連結總會了吧叫他去讀那個網站給我中文報告這樣就做完了 |
transcript.whisperx[383].start |
10184.42 |
transcript.whisperx[383].end |
10212.397 |
transcript.whisperx[383].text |
这样有没有快后面你还可以叙述了比如说给我30个字的重点报告什么的这样这样就就读完了所以他可以互相转来转去的那不是只有像网页了档案丢上去也是可以啊所以呢可以让他去读报告那如果你是要把它整理成那个简报有没有你就最后变成简报格式啊他就帮你摘要成简报格式 |
transcript.whisperx[384].start |
10214.702 |
transcript.whisperx[384].end |
10234.327 |
transcript.whisperx[384].text |
他可以互转转来转去那像刚才的案例是英文转中文有没有你中文可以再转德文就输出的时候可以再转他其实就互相转来转去这样子这其实是在阅读上我觉得就蛮大的一个差异然后不是只有可以这样子做还有一个更有趣的 |
transcript.whisperx[385].start |
10239.628 |
transcript.whisperx[385].end |
10267.565 |
transcript.whisperx[385].text |
这个是上半年那个市壮运那为什么我举这个例子呢是举例来讲上半年比如说我要参加市壮运水上活动好了那请问各位上面有哪一些活动项目我们以前的做法不是还要再点进去看比如说有哪几类吗可是这样子我觉得有点累所以最好可不可以给我那个整理完Excel的栏位这样子 |
transcript.whisperx[386].start |
10269.71 |
transcript.whisperx[386].end |
10296.629 |
transcript.whisperx[386].text |
那各位怎么让他产成Excel单位我教你一样第一步把链接记下来产报告就叫他读给我内容嘛如果是要Excel呢表格式的报告就是Excel所以他就会把上面这些的游泳项目的部分帮你整理成Excel那这是那个Gmini的部分你可以让他汇出成四算表就Excel了 |
transcript.whisperx[387].start |
10298.211 |
transcript.whisperx[387].end |
10309.591 |
transcript.whisperx[387].text |
以前这个都要花很多时间这样可以就是好用了然后刚才不是跟各位讲说可以识别吗这没有问题所以延伸可以挑水果 |
transcript.whisperx[388].start |
10311.997 |
transcript.whisperx[388].end |
10330.823 |
transcript.whisperx[388].text |
这我都试过了我都试过了可以挑水果可是我先跟各位讲不要这样子挑因为他没有手没有嘴巴没有办法告诉你哪一棵所以正确的操作要这样子你拍完照你要标数字然后问他哪棵水果田他就可以告诉你几号 |
transcript.whisperx[389].start |
10332.455 |
transcript.whisperx[389].end |
10357.704 |
transcript.whisperx[389].text |
这个才是正确的做法你直接拍他没有手没办法帮你抓可是你不要数字他就会告诉你几号你就知道了这是正确的用法这样子这都是一些延伸的我觉得有些好像蛮有趣可是各位都不太会的然后再补充两个就好然后跳回去各位平常有需要写问卷吗 |
transcript.whisperx[390].start |
10359.707 |
transcript.whisperx[390].end |
10381.613 |
transcript.whisperx[390].text |
你为什么勾到这一段这段就是有人要写论文的时候就会去做问卷写问卷很讨厌为什么因为你要设计问卷那我教各位怎么做了第一个你现在要去爬哪个网站或哪个内容先去产关键字然后加上关键字再去生成问卷题目 |
transcript.whisperx[391].start |
10382.413 |
transcript.whisperx[391].end |
10402.689 |
transcript.whisperx[391].text |
然后居民里刚好这跟Google整合在一起所以你可以叫他产Google的那个问卷语法然后把它贴上去那个问卷就做完你再发给谁去写这样就好了所以像这个第一个一样叫他去读哪里去产表格是他会把比如说那个网站在研究有看到哪些关键字先产出来 |
transcript.whisperx[392].start |
10403.67 |
transcript.whisperx[392].end |
10414.315 |
transcript.whisperx[392].text |
那个关键字产出来你将要去设计跟这个关键字相关的问卷题目在产问卷表单的code贴上来问卷就做完了这样可以吗 |
transcript.whisperx[393].start |
10418.997 |
transcript.whisperx[393].end |
10445.642 |
transcript.whisperx[393].text |
我讲很快这个是各位有用到再来说要不然这个当然讲很快刚才不是教各位专业翻译吗各位知道什么叫专业翻译吗知道怎么做吗这个sample给你们参考一下你有没有发现这什么叫专业翻译不是只有跟他讲你是一个翻译你要跟他讲你是一个专精的翻译熟中英文而且你还在哪一个领域从事过 |
transcript.whisperx[394].start |
10446.562 |
transcript.whisperx[394].end |
10473.46 |
transcript.whisperx[394].text |
有那个经历然后帮我翻以下的文章他要有什么学术的内容那出来就是专业翻译然后翻一次不够你可以让他再翻一次转两次这真的要定角色这个是定的比较完整那这个翻出来跟那个你送出去专业翻译老实说因为他还加了那个工作经验所以他翻出来会更准 |
transcript.whisperx[395].start |
10476.212 |
transcript.whisperx[395].end |
10493.886 |
transcript.whisperx[395].text |
这样可以所以各位平常有这样翻过吗好来最后报一个料好了各位现在不是都之前那个在写paper的时候不是都很怕那个学轮的问题吗那知道要怎么避免学轮的问题吗不知道换句话说 |
transcript.whisperx[396].start |
10502.711 |
transcript.whisperx[396].end |
10515.439 |
transcript.whisperx[396].text |
叙述换句话说那他有一个专业术语叫降重降重那个换句话说就不一样不一样基本上就没有那个什么学论的问题我觉得之后会有另外一个问题就AI抄袭的问题 |
transcript.whisperx[397].start |
10517.199 |
transcript.whisperx[397].end |
10545.466 |
transcript.whisperx[397].text |
因为大家都叫他写写到最后每个产出好像都差不多这样有可能会有可是现阶段应该还data应该还没到对以后一定AI抄袭所以我跟各位分享一下我之前帮人家做评审我已经做什么事情我先讲不要学我这样做不正好因为我觉得当评审到后面有一个很麻烦的状态就是上次我去参加那个国务校帮人家审那个绘画我只能认真看完前三幅 |
transcript.whisperx[398].start |
10547.071 |
transcript.whisperx[398].end |
10565.633 |
transcript.whisperx[398].text |
后面我就开始恍神了我就没有办法很认真的去评后来我发现这样好像不是很公平你知道吗结果那一次我就做了一件事情我记得那个小朋友交过来60几个有一个主题就花了60几个我先喂给他这个主题然后把那60几个档案全部都丢上去 |
transcript.whisperx[399].start |
10566.494 |
transcript.whisperx[399].end |
10587.139 |
transcript.whisperx[399].text |
然后教他评分以这个主题评分评分完之后再排序然后重点还不是这样子要写评语优缺的评语然后教帮我把前10个的写完优缺的评语然后因为我这个很熟所以我还做了一件事情帮我审一下有没有 AI 绘图然后还拉出四五张这样懂意思 |
transcript.whisperx[400].start |
10593.944 |
transcript.whisperx[400].end |
10601.412 |
transcript.whisperx[400].text |
各位还是认真的评这样子我只说我偷懒的时候就丢上去我是要试他那个效果还蛮可怕的有这样做过吗也没有 |
transcript.whisperx[401].start |
10607.626 |
transcript.whisperx[401].end |
10626.518 |
transcript.whisperx[401].text |
我做过回去试一下这是额外提供的因为目前其实使用其实可以利用到这种程度拉回来以平台要加码就加个go好了我再加一个就好了 |
transcript.whisperx[402].start |
10630.805 |
transcript.whisperx[402].end |
10657.505 |
transcript.whisperx[402].text |
各位那个平台如果各位是要做学术研究的我个人建议不要用常用的那几个因为大家都用那几个有一定出问题也有一定出问题我个人比较推的是这个这个用够吗这个如果你要学术研究个人比较推是这个 |
transcript.whisperx[403].start |
10658.635 |
transcript.whisperx[403].end |
10683.255 |
transcript.whisperx[403].text |
因为我发现现在学术研究大家用最多第一名叫全GPT大家都用它然后GPT大概就这两个用比较多可是这个学术研究其实它的研究方法会比较像我们传统在做研究他会先去找引柱出处有没有人讲过这个那他找的都是就是我找的一个出处了 |
transcript.whisperx[404].start |
10684.136 |
transcript.whisperx[404].end |
10700.44 |
transcript.whisperx[404].text |
然后你可以找到关联的资料可以再拉下来自己做验证然后像确GPD有时候找的很莫名其妙你知道吗找出来都不是真的都假的了不知道怎么来资料都不知道怎么来这个就还有个引注各位可以用这个是谁家的知道吗这个是哪一家的知道吗有人听过这一家吗 |
transcript.whisperx[405].start |
10712.358 |
transcript.whisperx[405].end |
10737.933 |
transcript.whisperx[405].text |
这特斯拉他们家另外一个分支的然后之前Facebook也找一堆人要去弄然后挂掉了Facebook应该起来那我觉得这个的比较有趣这样就多几个了反正多几个工具教他使用来那刚才这个架构都知道了给让各位知道危险在哪里然后请问各位家里有镜头吗各位家里有镜头吗 |
transcript.whisperx[406].start |
10742.888 |
transcript.whisperx[406].end |
10765.488 |
transcript.whisperx[406].text |
各位怎麼又開始很奇怪了各位可以把你的手機拿起來看一下嗎有沒有看到一個鏡頭正在對著你現在手機也可以操作上面這個比較壞上面有沒有看到一個英文關鍵字你可以搜尋這英文關鍵字可以找到底下的網站底下的網站就是把各國有問題的鏡頭會直接貼上來所以你可以直接點它就可以看到很多人家裡的鏡頭 |
transcript.whisperx[407].start |
10768.267 |
transcript.whisperx[407].end |
10792.461 |
transcript.whisperx[407].text |
我是常点因为就是看有没有类似像这样的危害所以你回去可以看一下你们家的镜头有没有在上面各位知道如果你们家的镜头有在上面知道怎么办吗你可以转行当网红反正该看都被人家看光了你也可以自己转行这样子那家里的锁各位已经换这种锁了吗智能锁 |
transcript.whisperx[408].start |
10797.02 |
transcript.whisperx[408].end |
10800.792 |
transcript.whisperx[408].text |
有时候就太晚来这样子应该早一点来跟各位讲这个的危害才对 |
transcript.whisperx[409].start |
10802.29 |
transcript.whisperx[409].end |
10830.387 |
transcript.whisperx[409].text |
如果各位要换我个人建议换1万5以上的1万5以下的智能锁很可怕因为这几年有很多厂商拿来让我测1万5以下的智能锁你在传Open跟Off的代码不会换所以我在旁边可以测入到你开门的扣所以我再丢给他 他就会开1万5以上的锁他不是用这种机制他是会到他的云端去算一串扣再下来每一次都不一样每一次都不一样 |
transcript.whisperx[410].start |
10831.267 |
transcript.whisperx[410].end |
10847.229 |
transcript.whisperx[410].text |
那15000以上的锁我还可以做另外一件事情当你永远配对不成功你们家的门打不开所以各位觉得打得开比较好还打不开比较好以我的研究传统钥匙好像好一点点就是提供给各位参考 |
transcript.whisperx[411].start |
10848.925 |
transcript.whisperx[411].end |
10871.5 |
transcript.whisperx[411].text |
那現在因為太多人家裡都會裝很多的感測sensor那這個也是未來的趨勢比如說長照那你就裝很多感測sensor屋子裡面會有身上會有那你把它想像很簡單收數據定監控點到這個狀態通知什麼就這樣子可是各階段的安全性其實各位在使用的時候自己就要稍微考慮一下 |
transcript.whisperx[412].start |
10872.541 |
transcript.whisperx[412].end |
10898.372 |
transcript.whisperx[412].text |
那这个我举一个比较有趣的例子各位有参与过那个远距医疗远距看诊过吗那有没有发现远距医疗远距看诊比较适合西医不适合中医各位知道原因是什么吗西医比较像是量化病增了一问一答一问一答那中医比较 |
transcript.whisperx[413].start |
10901.109 |
transcript.whisperx[413].end |
10922.308 |
transcript.whisperx[413].text |
比较偏老师傅经验可是他的经验又很难量化所以他其实比较适合西医的原因在这里第二个其实是什么也是就我研究得到的结果就是远距医疗远距看诊如果是中医一定失效因为各位远距医疗的时候就会开美肌 |
transcript.whisperx[414].start |
10923.829 |
transcript.whisperx[414].end |
10943.859 |
transcript.whisperx[414].text |
然后中医就觉得你气色那么好都不知道来干嘛的这样子你知道吗就是还是有差异的这提问各位有看过老中医吗很厉害的老中医这个真的我不知道我去年有一次经验是这样就是咳嗽咳了三个月没有好然后看西医都跟你讲肺有问题 |
transcript.whisperx[415].start |
10945.936 |
transcript.whisperx[415].end |
10955.576 |
transcript.whisperx[415].text |
然后看到不行刚好有人推荐说你要不要去看个中医这样子然后那中医一去的时候吓到我了就是那个门刚踏进来他就说你气场不好 |
transcript.whisperx[416].start |
10956.69 |
transcript.whisperx[416].end |
10982.38 |
transcript.whisperx[416].text |
还没摸到我先讲都还没摸到我自己一个心理OS是你是看到我背了两个人进来是不是就后面背两个进来怎么会摸到我觉得就算了你知道是还没摸到然后后来他就是把麦看完之后他说你这从头到尾都不是肺的问题是胃的问题胃结果真的是胃就是胃食道逆流那个对是胃胃结果他就开完 |
transcript.whisperx[417].start |
10983.32 |
transcript.whisperx[417].end |
10994.496 |
transcript.whisperx[417].text |
我就发现我看了那三个月的西医都不知道在看什么然后全部都错你知道吗对还是有的还是有成效的那游戏这个各位以前有玩过吗 |
transcript.whisperx[418].start |
10997.205 |
transcript.whisperx[418].end |
11012.982 |
transcript.whisperx[418].text |
现在还有在玩吗走在路上偶尔还是看到有人在玩玩没有问题你要知道他抓了什么资料吗他是这样子的你在玩的过程中其实他在背后抓你的资料一直上传到底下那个网站各位其实不知道 |
transcript.whisperx[419].start |
11014.043 |
transcript.whisperx[419].end |
11028.52 |
transcript.whisperx[419].text |
这个其实可以去判断这个国家的禁区跟军事区在哪里是非常的精准所以各位有时候变成是贡献者了所以在玩的时候要注意一下请问各位现在在收集各位的资料有违法还是没有违法 |
transcript.whisperx[420].start |
11032.12 |
transcript.whisperx[420].end |
11055.14 |
transcript.whisperx[420].text |
當然沒有啊都是各位同意的啊對啊所以現在沒有違法的狀態啊而且現在收集的也不是個資啊就是等於是個資法官以外的那些資料了那麻煩的部分是收集這麼多年下來都有點像上面這張圖這張圖其實就是剛才那個我們手機連動中應用程式如果我把它畫成圖就長這樣子各位的可能比這還誇張 |
transcript.whisperx[421].start |
11058.533 |
transcript.whisperx[421].end |
11081.507 |
transcript.whisperx[421].text |
那有时候会骗各位像什么像这个跟你讲说来装不用钱的防毒软体你点一下背后就被收走一堆资料了现在就像这样子所以各位常常有很多资料为什么跑出去不小心就会有这个状态那问各位一下请问各位平常会看YouTube的影片吗那请问看YouTube的影片会中毒吗 |
transcript.whisperx[422].start |
11082.688 |
transcript.whisperx[422].end |
11104.695 |
transcript.whisperx[422].text |
当然会那请问还要看YouTube的影片吗还是要 有没有有宣导跟没宣导一样哪里会中毒就是我们看那个YouTube的影片有些影片不是会跳广告吗就那个广告跳出来如果是脏的就会中毒这样可以我让各位自己检查一下手机是干净的还是脏的好了来 各位把手机拿起来一下 |
transcript.whisperx[423].start |
11106.616 |
transcript.whisperx[423].end |
11130.065 |
transcript.whisperx[423].text |
跟著我上面的畫面操作一下來先把Line打開一下底下的主頁打開一下那右上角的齒輪慢慢再打開一下那齒輪叫設定設定的第三個隱私設定再點它一下然後從上面數來應該是在第四個會看到一個英文字這是加密的功能我先講預設是打開的如果各位點進去發現它是關起來的恭喜你你的手機裡面有髒東西 |
transcript.whisperx[424].start |
11133.072 |
transcript.whisperx[424].end |
11155.2 |
transcript.whisperx[424].text |
iOS打開長這樣子Android打開長這樣子預設是打開的如果點進去你的是關起來的你的手機裡面有張東西你不要偷偷的再把它打開沒有用因為他會再幫你關起來這樣可以預設是開的預設是開的如果各位點進去是關的就問題就大 |
transcript.whisperx[425].start |
11159.676 |
transcript.whisperx[425].end |
11182.404 |
transcript.whisperx[425].text |
这样可以如果你点开发现它是关起来的你不要偷偷打开真的没有用因为里面有木马城市会在关起来唯一的做法是你要把你的手机还原原厂设定值如果有关起来的话这稍微注意一下但目前供给其实这几年我觉得好像没有太大变化第一名都还是社交工程 |
transcript.whisperx[426].start |
11183.204 |
transcript.whisperx[426].end |
11202.539 |
transcript.whisperx[426].text |
然后再来是样态比如说勒索的样态比较多还是采矿的样态比较多所以我觉得主攻击还是没有太大差异只是说各位要比较小心的部分是因为网路上有很多的平台都是在做跟我们想的不一样像上面这平台最主要是在公布哪个网站有漏洞 |
transcript.whisperx[427].start |
11204.16 |
transcript.whisperx[427].end |
11231.851 |
transcript.whisperx[427].text |
所以上面其实叫做那个漏洞搜寻引擎所以我可以在上面搜寻到很多环境上面的问题那再利用这些问题去做攻击就可以直接攻击成功所以你只要会操作一些网站其实也有很多的资料可以取得比如说跟这网站连在一起就可以那目前我们常上的一些网站是这样子每天都有一堆嗨客会去攻击他那只差别在有攻击成功跟没有攻击成功 |
transcript.whisperx[428].start |
11233.051 |
transcript.whisperx[428].end |
11256.313 |
transcript.whisperx[428].text |
我们常常在操作过程中就user需要特别注意的是连结所以连结拜托真的不要乱点不管是简讯或者是LINE上面拜托都不要乱点我们常看到的网站各位不要觉得那个是官方网站就是干净我跟你讲没有这个就是有问题的网站哪里有问题底下那个连结 |
transcript.whisperx[429].start |
11257.614 |
transcript.whisperx[429].end |
11280.895 |
transcript.whisperx[429].text |
那他们现在入侵这网站不会在网站上面去做任何的更改会让他长得一模一样各位再去这个地方就会直到底下那个网址那这个网址背后可以跑很多东西啊比如说跑木马勒索采矿全部都可以但我有一个示意图让各位了解我们常去网站他也常去啊你去看资料他去是看漏洞啊今天只要发现有漏洞跑进来了 |
transcript.whisperx[430].start |
11281.596 |
transcript.whisperx[430].end |
11296.184 |
transcript.whisperx[430].text |
那让网站长得一模一样多一个连结那这时候各位再过去就中毒了那过程中不会有任何感觉这个就是平常我们上网中毒的一个实际的一个状态了这个到现在都还是长去的网站不见得是干净的 |
transcript.whisperx[431].start |
11297.273 |
transcript.whisperx[431].end |
11323.491 |
transcript.whisperx[431].text |
那邮件的部分是從以前到現在其實都是駭客的主要攻擊管道了因為只要有各位的信箱就可以對各位發動攻擊那這個其實在公部門已經訓練很久所以這個我覺得還好基本上各位現在收到來不來路部門的邮件不太會去點開他了那為什麼這個會是主流因為不用錢那有各位的mail就可以一直發行那也可以夾帽各位的親朋好友直接去做發行 |
transcript.whisperx[432].start |
11324.111 |
transcript.whisperx[432].end |
11349.925 |
transcript.whisperx[432].text |
那这种发信现在可以去用AI去拟发信的内容那就会变成是客制的发信然后也是比较贴近所以基本上一样各位收到邮件不认识的人不要乱开的然后乱点里面的超连结然后副档要查阅这样子这个其实就可以避免这个危险那在这两个管道之外另外一个最容易攻击的管道就是手机了手机是这样子请问各位这个你还会相信他吗 |
transcript.whisperx[433].start |
11351.98 |
transcript.whisperx[433].end |
11367.876 |
transcript.whisperx[433].text |
如果你的手機操作過程中跟你講說已經有病毒了你會相信他嗎不能點你點確定叫立刻中毒騙人的這跟那個我們剛才看到那些畫面是一樣的這個各位會想安裝嗎他跟你講說你的手機可以裝採礦程式 |
transcript.whisperx[434].start |
11369.557 |
transcript.whisperx[434].end |
11396.577 |
transcript.whisperx[434].text |
这也是骗人的这都骗人的所以拜托手机不要乱装因为装了基本上背后跑了什么东西我们比较难去做识别而且很多背后其实有勒索采矿什么一堆这个就稍微要注意一下目前我们的连结拜托各位要特别注意第二个是很多的档案你不要觉得这个档案我认识我就去开启它现在是所有档案都可以做有问题的档案 |
transcript.whisperx[435].start |
11397.558 |
transcript.whisperx[435].end |
11415.336 |
transcript.whisperx[435].text |
他点到你发现这个就来不及了这个就已经是中勒索了所以考各位一下这边有个压缩档压缩档里面有两个档案一个叫桌面点1X1一个叫超级消耗片点TXD请问各位这两个档案哪一个会害你中毒上还是下正确答案是两个都会 |
transcript.whisperx[436].start |
11421.909 |
transcript.whisperx[436].end |
11450.401 |
transcript.whisperx[436].text |
下是超级消耗片.txt后面200多个空白再.exe两个都是执行档所以各位不要太相信自己的眼睛以前最早是透过漏洞跑进来或透过服务跑进来现在大多数都是透过各位帮他开门点click然后或者是开档案所以以目前来讲我都会建议各位只要看得到的讯息有连结的有档案拜托都不要相信他 |
transcript.whisperx[437].start |
11451.321 |
transcript.whisperx[437].end |
11477.887 |
transcript.whisperx[437].text |
然后LINE里面有一个很讨厌的状态就是各位知道有很多群里面不是都有那个早安贴图吗有很多贴图是有问题的所以各位如果长辈在group里面去贴早安贴图这时候怎么办如果是各位你会怎么办我个人的做法是只要有一个群有长辈贴早安贴图自动退群 |
transcript.whisperx[438].start |
11479.71 |
transcript.whisperx[438].end |
11494.797 |
transcript.whisperx[438].text |
因为你没有办法控制长辈只能控制自己所以自己推出来没有因为那个完全没办法控制因为一般人也很难去识别那个土背后有什么所以比较建议各位如果你没有办法避免他那你就请备份吧 |
transcript.whisperx[439].start |
11496.371 |
transcript.whisperx[439].end |
11524.542 |
transcript.whisperx[439].text |
因为目前来讲最怕的是中勒索所以你勤备份其实也可以避免这些问题去年其实有一些勒索的平台被破解所以各位也可以到这些平台上如果有中可以到这些平台上看看有没有解药然后这个是我个人比较建议的部分那再重点提示一下这个连结不要戳了有连结就不要戳然后手机的部分是这样子不好意思我把它跳到后面讲重点就是 |
transcript.whisperx[440].start |
11526.382 |
transcript.whisperx[440].end |
11553.131 |
transcript.whisperx[440].text |
各位如果要安装App我建议各位第一个要注意的是权限权限要认两个有这两个就稍微注意一下就是有付费跟订阅有付费有订阅这个App就尽量不要安装付费订阅其他的就看各位我这支手机基本上跟原厂没什么两样因为现在不知道装什么是干净的所以 |
transcript.whisperx[441].start |
11554.231 |
transcript.whisperx[441].end |
11572.562 |
transcript.whisperx[441].text |
目前来讲以我自己在查就是有付费有订阅危险程度是最高的然后这个不要再点连结然后再考各位一下像这边跟你讲说左边这张图说我要读取你目前的位置有不允许跟好请问各位这时候要点哪一个 |
transcript.whisperx[442].start |
11574.295 |
transcript.whisperx[442].end |
11603.169 |
transcript.whisperx[442].text |
点不允许打不开来各位没有用过手机用来我教各位了这个如果你真的要用你要先点好好之后到设定里面设定里面把它关起来再去使用要要多一段要到设定里面再关再使用点不允许打不开了你只能点好再去关掉它这个各位还会再相信他吗拜托不要这个也是现在还有另外一种跟你讲说手机空间已满叫你清嘎比举那也是骗人的 |
transcript.whisperx[443].start |
11604.449 |
transcript.whisperx[443].end |
11628.307 |
transcript.whisperx[443].text |
所以你看现在那么多安装的时候记得就是稍微看一下评论不是看星星评论跟权限那权限付费跟订阅就稍微注意一下不行这个容我一定要帮各位洗脑回来很多的APP会跟你讲说免费使用15天请问各位第几天的时候会移掉它 |
transcript.whisperx[444].start |
11630.925 |
transcript.whisperx[444].end |
11648.017 |
transcript.whisperx[444].text |
我的研究一半的人会忘记是真的会忘记不是故意忘记是真的忘记这件事情所以他就一直订阅下去另外一半的人很聪明会说我第14天在移除他不好意思他是这样子下载隔天没用就要移除 |
transcript.whisperx[445].start |
11649.847 |
transcript.whisperx[445].end |
11675.819 |
transcript.whisperx[445].text |
各位听得懂意思吗不是第14天他的订阅跟付费是拆开的免费使用15天隔天他就先帮你订阅付费了这样懂意思因为他们有些游戏规则就要稍微小心一下讲快讲到最后各位觉得现在的AI是要让他发展下去比较好还是不发展下去比较好 |
transcript.whisperx[446].start |
11679.167 |
transcript.whisperx[446].end |
11701.693 |
transcript.whisperx[446].text |
这个在前年有开公听会然后有一批人就是说要让他发展就促进世界发展这样另外一批就说现在发展下去会跟电影情节差不多这个是前年开的公听会就我目前的资讯研究下来比较会偏到走电影的那一边去 |
transcript.whisperx[447].start |
11703.493 |
transcript.whisperx[447].end |
11729.989 |
transcript.whisperx[447].text |
我现在看到是比较不好的我们又不可逆所以各位其实在操作过程中我还是建议各位要注意一下那个资讯不要一直操作一直跑出去如果真的要操作比较正常的操作方式是要建那个叫落地的LLM资料在落地学习像我自己是这样建的敏感的是建落地的自己去学习 |
transcript.whisperx[448].start |
11730.729 |
transcript.whisperx[448].end |
11753.162 |
transcript.whisperx[448].text |
那资料是不出去的他可以去抓什么比如说我可以去抓CHAT GPT的那个语言模组下来学习那我可以确保至少资料不会出去我自己是这样用如果各位如果是用现在云端版本资料就一定会出去这是比较建议各位的部分超时各位有没有一些疑难杂志想要问 |
transcript.whisperx[449].start |
11766.292 |
transcript.whisperx[449].end |
11789.051 |
transcript.whisperx[449].text |
那沒有的話那各位同仁就是希望感謝一下我們講師今天辛苦的教學那不好意思再請大家幫我們繳交一下那個問卷調查表然後我們外面有那個小點心跟飲料那麻煩大家要拿一下這樣子那如果要登記公務人員學習時數我這裡有QR Code麻煩你們少去登記那個身分證字號這樣子 |