iVOD / 17546

Field Value
IVOD_ID 17546
IVOD_URL https://ivod.ly.gov.tw/Play/Full/1M/17546
日期 2026-06-25
會議資料.會議代碼 委員會-11-5-23-20
會議資料.會議代碼:str 第11屆第5會期交通委員會第20次全體委員會議
會議資料.屆 11
會議資料.會期 5
會議資料.會次 20
會議資料.種類 委員會
會議資料.委員會代碼[0] 23
會議資料.委員會代碼:str[0] 交通委員會
會議資料.標題 第11屆第5會期交通委員會第20次全體委員會議
影片種類 Full
開始時間 2026-06-25T08:36:29+08:00
結束時間 2026-06-25T11:57:00+08:00
影片長度 03:20:31
支援功能[0] ai-transcript
video_url https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/f826c2e4afc302dd185f057c3f35196f9c724ca681e8a219ed7231b3d2e2f92a5ebf5cc441d3ec9a5ea18f28b6918d91.mp4/playlist.m3u8
會議時間 2026-06-25T09:00:00+08:00
會議名稱 立法院第11屆第5會期交通委員會第20次全體委員會議(事由:審查一、委員羅美玲等18人擬具「道路交通管理處罰條例第二十一條條文修正草案」案、二、台灣民眾黨黨團擬具「道路交通管理處罰條例部分條文修正草案」案、三、委員張智倫等19人、四、台灣民眾黨黨團、五、委員郭昱晴等17人、六、委員林思銘等22人、七、委員洪孟楷等21人、八、委員黃秀芳等20人、九、委員林倩綺等22人及十、委員邱鎮軍等20人分別擬具「道路交通管理處罰條例第三十五條條文修正草案」案、十一、委員傅崐萁等18人擬具「道路交通管理處罰條例第三十五條、第三十五條之一及第六十七條條文修正草案」案、十二、委員王義川等17人擬具「道路交通管理處罰條例第三十五條、第三十五條之二及第六十七條條文修正草案」案、十三、委員涂權吉等19人擬具「道路交通管理處罰條例第三十五條及第三十五條之三條文修正草案」案及十四、委員洪孟楷等16人擬具「道路交通管理處罰條例第六十七條條文修正草案」案。 【本日會議僅進行詢答;第二案、第七案至第十案、第十二案及第十三案如未經各黨團簽署不復議同意書,則不予審查;第六案及第十一案如經院會復議,則不予審查】【6月24日及25日二天一次會】)
委員名稱 完整會議
委員發言時間 08:36:29 - 11:57:00
transcript.pyannote[0].speaker SPEAKER_13
transcript.pyannote[0].start 1534.52534375
transcript.pyannote[0].end 1539.25034375
transcript.pyannote[1].speaker SPEAKER_13
transcript.pyannote[1].start 1542.10221875
transcript.pyannote[1].end 1543.21596875
transcript.pyannote[2].speaker SPEAKER_13
transcript.pyannote[2].start 1545.57846875
transcript.pyannote[2].end 1546.70909375
transcript.pyannote[3].speaker SPEAKER_13
transcript.pyannote[3].start 1548.78471875
transcript.pyannote[3].end 1550.84346875
transcript.pyannote[4].speaker SPEAKER_13
transcript.pyannote[4].start 1551.07971875
transcript.pyannote[4].end 1553.05409375
transcript.pyannote[5].speaker SPEAKER_13
transcript.pyannote[5].start 1556.66534375
transcript.pyannote[5].end 1559.98971875
transcript.pyannote[6].speaker SPEAKER_13
transcript.pyannote[6].start 1562.31846875
transcript.pyannote[6].end 1564.03971875
transcript.pyannote[7].speaker SPEAKER_13
transcript.pyannote[7].start 1565.65971875
transcript.pyannote[7].end 1567.71846875
transcript.pyannote[8].speaker SPEAKER_13
transcript.pyannote[8].start 1569.33846875
transcript.pyannote[8].end 1570.87409375
transcript.pyannote[9].speaker SPEAKER_13
transcript.pyannote[9].start 1572.57846875
transcript.pyannote[9].end 1574.09721875
transcript.pyannote[10].speaker SPEAKER_13
transcript.pyannote[10].start 1575.43034375
transcript.pyannote[10].end 1577.21909375
transcript.pyannote[11].speaker SPEAKER_13
transcript.pyannote[11].start 1578.94034375
transcript.pyannote[11].end 1581.04971875
transcript.pyannote[12].speaker SPEAKER_13
transcript.pyannote[12].start 1583.83409375
transcript.pyannote[12].end 1585.69034375
transcript.pyannote[13].speaker SPEAKER_13
transcript.pyannote[13].start 1587.51284375
transcript.pyannote[13].end 1589.74034375
transcript.pyannote[14].speaker SPEAKER_13
transcript.pyannote[14].start 1591.84971875
transcript.pyannote[14].end 1593.33471875
transcript.pyannote[15].speaker SPEAKER_13
transcript.pyannote[15].start 1595.47784375
transcript.pyannote[15].end 1597.78971875
transcript.pyannote[16].speaker SPEAKER_13
transcript.pyannote[16].start 1599.69659375
transcript.pyannote[16].end 1602.12659375
transcript.pyannote[17].speaker SPEAKER_13
transcript.pyannote[17].start 1604.48909375
transcript.pyannote[17].end 1605.85596875
transcript.pyannote[18].speaker SPEAKER_13
transcript.pyannote[18].start 1606.22721875
transcript.pyannote[18].end 1608.91034375
transcript.pyannote[19].speaker SPEAKER_13
transcript.pyannote[19].start 1609.24784375
transcript.pyannote[19].end 1611.62721875
transcript.pyannote[20].speaker SPEAKER_13
transcript.pyannote[20].start 1613.28096875
transcript.pyannote[20].end 1615.15409375
transcript.pyannote[21].speaker SPEAKER_13
transcript.pyannote[21].start 1617.80346875
transcript.pyannote[21].end 1620.77346875
transcript.pyannote[22].speaker SPEAKER_13
transcript.pyannote[22].start 1621.68471875
transcript.pyannote[22].end 1624.04721875
transcript.pyannote[23].speaker SPEAKER_13
transcript.pyannote[23].start 1624.53659375
transcript.pyannote[23].end 1626.66284375
transcript.pyannote[24].speaker SPEAKER_13
transcript.pyannote[24].start 1627.18596875
transcript.pyannote[24].end 1632.50159375
transcript.pyannote[25].speaker SPEAKER_05
transcript.pyannote[25].start 1644.26346875
transcript.pyannote[25].end 1699.37721875
transcript.pyannote[26].speaker SPEAKER_05
transcript.pyannote[26].start 1700.05221875
transcript.pyannote[26].end 1704.43971875
transcript.pyannote[27].speaker SPEAKER_05
transcript.pyannote[27].start 1704.92909375
transcript.pyannote[27].end 1708.77659375
transcript.pyannote[28].speaker SPEAKER_05
transcript.pyannote[28].start 1708.96221875
transcript.pyannote[28].end 1796.05409375
transcript.pyannote[29].speaker SPEAKER_05
transcript.pyannote[29].start 1797.01596875
transcript.pyannote[29].end 1809.68909375
transcript.pyannote[30].speaker SPEAKER_05
transcript.pyannote[30].start 1810.29659375
transcript.pyannote[30].end 1811.66346875
transcript.pyannote[31].speaker SPEAKER_05
transcript.pyannote[31].start 1812.49034375
transcript.pyannote[31].end 1821.94034375
transcript.pyannote[32].speaker SPEAKER_05
transcript.pyannote[32].start 1822.41284375
transcript.pyannote[32].end 1848.60284375
transcript.pyannote[33].speaker SPEAKER_13
transcript.pyannote[33].start 1850.84721875
transcript.pyannote[33].end 1854.84659375
transcript.pyannote[34].speaker SPEAKER_14
transcript.pyannote[34].start 1867.01346875
transcript.pyannote[34].end 1915.93409375
transcript.pyannote[35].speaker SPEAKER_14
transcript.pyannote[35].start 1916.69346875
transcript.pyannote[35].end 1962.54284375
transcript.pyannote[36].speaker SPEAKER_14
transcript.pyannote[36].start 1963.20096875
transcript.pyannote[36].end 2000.47784375
transcript.pyannote[37].speaker SPEAKER_14
transcript.pyannote[37].start 2001.13596875
transcript.pyannote[37].end 2028.84471875
transcript.pyannote[38].speaker SPEAKER_14
transcript.pyannote[38].start 2029.26659375
transcript.pyannote[38].end 2029.63784375
transcript.pyannote[39].speaker SPEAKER_14
transcript.pyannote[39].start 2030.75159375
transcript.pyannote[39].end 2032.06784375
transcript.pyannote[40].speaker SPEAKER_14
transcript.pyannote[40].start 2032.55721875
transcript.pyannote[40].end 2070.15471875
transcript.pyannote[41].speaker SPEAKER_14
transcript.pyannote[41].start 2070.54284375
transcript.pyannote[41].end 2083.78971875
transcript.pyannote[42].speaker SPEAKER_14
transcript.pyannote[42].start 2084.49846875
transcript.pyannote[42].end 2132.13659375
transcript.pyannote[43].speaker SPEAKER_14
transcript.pyannote[43].start 2132.30534375
transcript.pyannote[43].end 2143.56096875
transcript.pyannote[44].speaker SPEAKER_13
transcript.pyannote[44].start 2145.83909375
transcript.pyannote[44].end 2150.15909375
transcript.pyannote[45].speaker SPEAKER_17
transcript.pyannote[45].start 2162.20784375
transcript.pyannote[45].end 2339.12534375
transcript.pyannote[46].speaker SPEAKER_13
transcript.pyannote[46].start 2342.70284375
transcript.pyannote[46].end 2347.73159375
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 2355.22409375
transcript.pyannote[47].end 2355.74721875
transcript.pyannote[48].speaker SPEAKER_01
transcript.pyannote[48].start 2355.93284375
transcript.pyannote[48].end 2357.46846875
transcript.pyannote[49].speaker SPEAKER_01
transcript.pyannote[49].start 2357.90721875
transcript.pyannote[49].end 2358.53159375
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 2359.45971875
transcript.pyannote[50].end 2361.16409375
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 2361.31596875
transcript.pyannote[51].end 2362.44659375
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 2362.69971875
transcript.pyannote[52].end 2366.34471875
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 2366.51346875
transcript.pyannote[53].end 2368.28534375
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 2368.80846875
transcript.pyannote[54].end 2370.79971875
transcript.pyannote[55].speaker SPEAKER_01
transcript.pyannote[55].start 2370.90096875
transcript.pyannote[55].end 2370.91784375
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 2370.98534375
transcript.pyannote[56].end 2373.56721875
transcript.pyannote[57].speaker SPEAKER_01
transcript.pyannote[57].start 2373.92159375
transcript.pyannote[57].end 2374.49534375
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 2375.03534375
transcript.pyannote[58].end 2376.11534375
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 2376.40221875
transcript.pyannote[59].end 2377.78596875
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 2377.95471875
transcript.pyannote[60].end 2378.76471875
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 2379.10221875
transcript.pyannote[61].end 2382.10596875
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 2382.32534375
transcript.pyannote[62].end 2383.30409375
transcript.pyannote[63].speaker SPEAKER_01
transcript.pyannote[63].start 2383.54034375
transcript.pyannote[63].end 2386.22346875
transcript.pyannote[64].speaker SPEAKER_01
transcript.pyannote[64].start 2386.81409375
transcript.pyannote[64].end 2389.04159375
transcript.pyannote[65].speaker SPEAKER_01
transcript.pyannote[65].start 2389.59846875
transcript.pyannote[65].end 2390.57721875
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 2390.88096875
transcript.pyannote[66].end 2394.45846875
transcript.pyannote[67].speaker SPEAKER_01
transcript.pyannote[67].start 2394.49221875
transcript.pyannote[67].end 2403.68909375
transcript.pyannote[68].speaker SPEAKER_01
transcript.pyannote[68].start 2403.79034375
transcript.pyannote[68].end 2409.30846875
transcript.pyannote[69].speaker SPEAKER_01
transcript.pyannote[69].start 2409.71346875
transcript.pyannote[69].end 2412.27846875
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 2412.63284375
transcript.pyannote[70].end 2413.93221875
transcript.pyannote[71].speaker SPEAKER_01
transcript.pyannote[71].start 2414.45534375
transcript.pyannote[71].end 2415.58596875
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 2415.94034375
transcript.pyannote[72].end 2419.92284375
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 2420.47971875
transcript.pyannote[73].end 2422.57221875
transcript.pyannote[74].speaker SPEAKER_01
transcript.pyannote[74].start 2423.04471875
transcript.pyannote[74].end 2425.60971875
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 2426.25096875
transcript.pyannote[75].end 2426.94284375
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 2427.11159375
transcript.pyannote[76].end 2428.02284375
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 2428.30971875
transcript.pyannote[77].end 2429.17034375
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 2429.18721875
transcript.pyannote[78].end 2438.72159375
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 2438.82284375
transcript.pyannote[79].end 2440.99971875
transcript.pyannote[80].speaker SPEAKER_01
transcript.pyannote[80].start 2441.40471875
transcript.pyannote[80].end 2444.45909375
transcript.pyannote[81].speaker SPEAKER_01
transcript.pyannote[81].start 2444.76284375
transcript.pyannote[81].end 2451.37784375
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 2451.85034375
transcript.pyannote[82].end 2452.28909375
transcript.pyannote[83].speaker SPEAKER_01
transcript.pyannote[83].start 2452.82909375
transcript.pyannote[83].end 2455.76534375
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 2455.95096875
transcript.pyannote[84].end 2458.04346875
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 2458.38096875
transcript.pyannote[85].end 2459.88284375
transcript.pyannote[86].speaker SPEAKER_01
transcript.pyannote[86].start 2460.40596875
transcript.pyannote[86].end 2461.01346875
transcript.pyannote[87].speaker SPEAKER_01
transcript.pyannote[87].start 2461.46909375
transcript.pyannote[87].end 2463.35909375
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 2463.94971875
transcript.pyannote[88].end 2465.99159375
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 2466.39659375
transcript.pyannote[89].end 2474.81721875
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 2475.15471875
transcript.pyannote[90].end 2477.55096875
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 2477.82096875
transcript.pyannote[91].end 2479.08659375
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 2479.49159375
transcript.pyannote[92].end 2481.82034375
transcript.pyannote[93].speaker SPEAKER_01
transcript.pyannote[93].start 2482.09034375
transcript.pyannote[93].end 2484.73971875
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 2484.75659375
transcript.pyannote[94].end 2486.79846875
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 2486.93346875
transcript.pyannote[95].end 2488.58721875
transcript.pyannote[96].speaker SPEAKER_01
transcript.pyannote[96].start 2488.73909375
transcript.pyannote[96].end 2490.17346875
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 2490.37596875
transcript.pyannote[97].end 2491.43909375
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 2491.75971875
transcript.pyannote[98].end 2493.34596875
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 2494.56096875
transcript.pyannote[99].end 2496.60284375
transcript.pyannote[100].speaker SPEAKER_01
transcript.pyannote[100].start 2496.99096875
transcript.pyannote[100].end 2499.20159375
transcript.pyannote[101].speaker SPEAKER_01
transcript.pyannote[101].start 2499.53909375
transcript.pyannote[101].end 2500.41659375
transcript.pyannote[102].speaker SPEAKER_01
transcript.pyannote[102].start 2500.68659375
transcript.pyannote[102].end 2502.39096875
transcript.pyannote[103].speaker SPEAKER_01
transcript.pyannote[103].start 2502.86346875
transcript.pyannote[103].end 2504.17971875
transcript.pyannote[104].speaker SPEAKER_01
transcript.pyannote[104].start 2504.41596875
transcript.pyannote[104].end 2505.17534375
transcript.pyannote[105].speaker SPEAKER_01
transcript.pyannote[105].start 2505.36096875
transcript.pyannote[105].end 2506.99784375
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 2507.26784375
transcript.pyannote[106].end 2510.13659375
transcript.pyannote[107].speaker SPEAKER_01
transcript.pyannote[107].start 2510.35596875
transcript.pyannote[107].end 2512.63409375
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 2512.68471875
transcript.pyannote[108].end 2514.40596875
transcript.pyannote[109].speaker SPEAKER_01
transcript.pyannote[109].start 2514.60846875
transcript.pyannote[109].end 2518.13534375
transcript.pyannote[110].speaker SPEAKER_01
transcript.pyannote[110].start 2518.37159375
transcript.pyannote[110].end 2519.35034375
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 2519.53596875
transcript.pyannote[111].end 2522.97846875
transcript.pyannote[112].speaker SPEAKER_01
transcript.pyannote[112].start 2523.31596875
transcript.pyannote[112].end 2525.76284375
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 2525.93159375
transcript.pyannote[113].end 2526.89346875
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 2527.12971875
transcript.pyannote[114].end 2528.20971875
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 2528.42909375
transcript.pyannote[115].end 2529.67784375
transcript.pyannote[116].speaker SPEAKER_01
transcript.pyannote[116].start 2530.08284375
transcript.pyannote[116].end 2532.73221875
transcript.pyannote[117].speaker SPEAKER_01
transcript.pyannote[117].start 2533.12034375
transcript.pyannote[117].end 2534.23409375
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 2534.43659375
transcript.pyannote[118].end 2535.44909375
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 2535.46596875
transcript.pyannote[119].end 2537.54159375
transcript.pyannote[120].speaker SPEAKER_13
transcript.pyannote[120].start 2540.15721875
transcript.pyannote[120].end 2542.57034375
transcript.pyannote[121].speaker SPEAKER_13
transcript.pyannote[121].start 2542.94159375
transcript.pyannote[121].end 2547.63284375
transcript.pyannote[122].speaker SPEAKER_11
transcript.pyannote[122].start 2557.97721875
transcript.pyannote[122].end 2661.65721875
transcript.pyannote[123].speaker SPEAKER_11
transcript.pyannote[123].start 2661.91034375
transcript.pyannote[123].end 2722.47471875
transcript.pyannote[124].speaker SPEAKER_00
transcript.pyannote[124].start 2733.39284375
transcript.pyannote[124].end 2745.89721875
transcript.pyannote[125].speaker SPEAKER_00
transcript.pyannote[125].start 2746.52159375
transcript.pyannote[125].end 2825.86784375
transcript.pyannote[126].speaker SPEAKER_00
transcript.pyannote[126].start 2826.72846875
transcript.pyannote[126].end 2842.65846875
transcript.pyannote[127].speaker SPEAKER_00
transcript.pyannote[127].start 2843.02971875
transcript.pyannote[127].end 2848.29471875
transcript.pyannote[128].speaker SPEAKER_00
transcript.pyannote[128].start 2848.32846875
transcript.pyannote[128].end 2848.36221875
transcript.pyannote[129].speaker SPEAKER_00
transcript.pyannote[129].start 2848.42971875
transcript.pyannote[129].end 2855.88846875
transcript.pyannote[130].speaker SPEAKER_00
transcript.pyannote[130].start 2856.12471875
transcript.pyannote[130].end 2883.81659375
transcript.pyannote[131].speaker SPEAKER_00
transcript.pyannote[131].start 2884.42409375
transcript.pyannote[131].end 2902.58159375
transcript.pyannote[132].speaker SPEAKER_00
transcript.pyannote[132].start 2902.68284375
transcript.pyannote[132].end 2904.69096875
transcript.pyannote[133].speaker SPEAKER_00
transcript.pyannote[133].start 2904.84284375
transcript.pyannote[133].end 2905.85534375
transcript.pyannote[134].speaker SPEAKER_00
transcript.pyannote[134].start 2905.93971875
transcript.pyannote[134].end 2906.76659375
transcript.pyannote[135].speaker SPEAKER_00
transcript.pyannote[135].start 2906.95221875
transcript.pyannote[135].end 2914.09034375
transcript.pyannote[136].speaker SPEAKER_00
transcript.pyannote[136].start 2914.96784375
transcript.pyannote[136].end 2930.32409375
transcript.pyannote[137].speaker SPEAKER_00
transcript.pyannote[137].start 2930.66159375
transcript.pyannote[137].end 2947.19909375
transcript.pyannote[138].speaker SPEAKER_00
transcript.pyannote[138].start 2947.50284375
transcript.pyannote[138].end 2982.40034375
transcript.pyannote[139].speaker SPEAKER_00
transcript.pyannote[139].start 2982.80534375
transcript.pyannote[139].end 3010.00784375
transcript.pyannote[140].speaker SPEAKER_00
transcript.pyannote[140].start 3010.81784375
transcript.pyannote[140].end 3052.95471875
transcript.pyannote[141].speaker SPEAKER_00
transcript.pyannote[141].start 3053.07284375
transcript.pyannote[141].end 3055.58721875
transcript.pyannote[142].speaker SPEAKER_00
transcript.pyannote[142].start 3055.72221875
transcript.pyannote[142].end 3057.46034375
transcript.pyannote[143].speaker SPEAKER_00
transcript.pyannote[143].start 3057.71346875
transcript.pyannote[143].end 3074.85846875
transcript.pyannote[144].speaker SPEAKER_13
transcript.pyannote[144].start 3078.28409375
transcript.pyannote[144].end 3080.61284375
transcript.pyannote[145].speaker SPEAKER_13
transcript.pyannote[145].start 3081.18659375
transcript.pyannote[145].end 3084.98346875
transcript.pyannote[146].speaker SPEAKER_13
transcript.pyannote[146].start 3085.81034375
transcript.pyannote[146].end 3090.41721875
transcript.pyannote[147].speaker SPEAKER_13
transcript.pyannote[147].start 3090.80534375
transcript.pyannote[147].end 3092.30721875
transcript.pyannote[148].speaker SPEAKER_13
transcript.pyannote[148].start 3092.66159375
transcript.pyannote[148].end 3095.10846875
transcript.pyannote[149].speaker SPEAKER_13
transcript.pyannote[149].start 3095.39534375
transcript.pyannote[149].end 3098.78721875
transcript.pyannote[150].speaker SPEAKER_13
transcript.pyannote[150].start 3098.97284375
transcript.pyannote[150].end 3101.57159375
transcript.pyannote[151].speaker SPEAKER_13
transcript.pyannote[151].start 3101.97659375
transcript.pyannote[151].end 3104.98034375
transcript.pyannote[152].speaker SPEAKER_22
transcript.pyannote[152].start 3111.86534375
transcript.pyannote[152].end 3116.89409375
transcript.pyannote[153].speaker SPEAKER_13
transcript.pyannote[153].start 3116.89409375
transcript.pyannote[153].end 3118.31159375
transcript.pyannote[154].speaker SPEAKER_22
transcript.pyannote[154].start 3118.31159375
transcript.pyannote[154].end 3118.32846875
transcript.pyannote[155].speaker SPEAKER_22
transcript.pyannote[155].start 3121.87221875
transcript.pyannote[155].end 3122.56409375
transcript.pyannote[156].speaker SPEAKER_22
transcript.pyannote[156].start 3123.47534375
transcript.pyannote[156].end 3137.66721875
transcript.pyannote[157].speaker SPEAKER_22
transcript.pyannote[157].start 3138.15659375
transcript.pyannote[157].end 3145.91909375
transcript.pyannote[158].speaker SPEAKER_22
transcript.pyannote[158].start 3146.02034375
transcript.pyannote[158].end 3161.73096875
transcript.pyannote[159].speaker SPEAKER_22
transcript.pyannote[159].start 3162.00096875
transcript.pyannote[159].end 3167.58659375
transcript.pyannote[160].speaker SPEAKER_22
transcript.pyannote[160].start 3167.75534375
transcript.pyannote[160].end 3178.13346875
transcript.pyannote[161].speaker SPEAKER_22
transcript.pyannote[161].start 3178.38659375
transcript.pyannote[161].end 3196.51034375
transcript.pyannote[162].speaker SPEAKER_22
transcript.pyannote[162].start 3196.76346875
transcript.pyannote[162].end 3198.73784375
transcript.pyannote[163].speaker SPEAKER_22
transcript.pyannote[163].start 3198.90659375
transcript.pyannote[163].end 3204.82971875
transcript.pyannote[164].speaker SPEAKER_11
transcript.pyannote[164].start 3207.73221875
transcript.pyannote[164].end 3238.61346875
transcript.pyannote[165].speaker SPEAKER_22
transcript.pyannote[165].start 3237.73596875
transcript.pyannote[165].end 3246.81471875
transcript.pyannote[166].speaker SPEAKER_11
transcript.pyannote[166].start 3239.01846875
transcript.pyannote[166].end 3241.54971875
transcript.pyannote[167].speaker SPEAKER_06
transcript.pyannote[167].start 3241.54971875
transcript.pyannote[167].end 3241.56659375
transcript.pyannote[168].speaker SPEAKER_06
transcript.pyannote[168].start 3246.81471875
transcript.pyannote[168].end 3248.97471875
transcript.pyannote[169].speaker SPEAKER_22
transcript.pyannote[169].start 3247.25346875
transcript.pyannote[169].end 3251.59034375
transcript.pyannote[170].speaker SPEAKER_22
transcript.pyannote[170].start 3252.11346875
transcript.pyannote[170].end 3265.19159375
transcript.pyannote[171].speaker SPEAKER_22
transcript.pyannote[171].start 3265.73159375
transcript.pyannote[171].end 3266.98034375
transcript.pyannote[172].speaker SPEAKER_22
transcript.pyannote[172].start 3267.46971875
transcript.pyannote[172].end 3271.84034375
transcript.pyannote[173].speaker SPEAKER_22
transcript.pyannote[173].start 3272.68409375
transcript.pyannote[173].end 3275.08034375
transcript.pyannote[174].speaker SPEAKER_22
transcript.pyannote[174].start 3275.83971875
transcript.pyannote[174].end 3282.21846875
transcript.pyannote[175].speaker SPEAKER_22
transcript.pyannote[175].start 3282.37034375
transcript.pyannote[175].end 3284.96909375
transcript.pyannote[176].speaker SPEAKER_22
transcript.pyannote[176].start 3285.42471875
transcript.pyannote[176].end 3289.96409375
transcript.pyannote[177].speaker SPEAKER_11
transcript.pyannote[177].start 3289.96409375
transcript.pyannote[177].end 3332.96159375
transcript.pyannote[178].speaker SPEAKER_22
transcript.pyannote[178].start 3329.73846875
transcript.pyannote[178].end 3332.86034375
transcript.pyannote[179].speaker SPEAKER_19
transcript.pyannote[179].start 3332.86034375
transcript.pyannote[179].end 3332.94471875
transcript.pyannote[180].speaker SPEAKER_22
transcript.pyannote[180].start 3332.94471875
transcript.pyannote[180].end 3332.96159375
transcript.pyannote[181].speaker SPEAKER_19
transcript.pyannote[181].start 3332.96159375
transcript.pyannote[181].end 3333.06284375
transcript.pyannote[182].speaker SPEAKER_22
transcript.pyannote[182].start 3333.06284375
transcript.pyannote[182].end 3333.26534375
transcript.pyannote[183].speaker SPEAKER_11
transcript.pyannote[183].start 3333.11346875
transcript.pyannote[183].end 3340.11659375
transcript.pyannote[184].speaker SPEAKER_22
transcript.pyannote[184].start 3338.71596875
transcript.pyannote[184].end 3340.52159375
transcript.pyannote[185].speaker SPEAKER_22
transcript.pyannote[185].start 3341.01096875
transcript.pyannote[185].end 3347.86221875
transcript.pyannote[186].speaker SPEAKER_22
transcript.pyannote[186].start 3348.33471875
transcript.pyannote[186].end 3357.41346875
transcript.pyannote[187].speaker SPEAKER_22
transcript.pyannote[187].start 3357.78471875
transcript.pyannote[187].end 3374.06909375
transcript.pyannote[188].speaker SPEAKER_22
transcript.pyannote[188].start 3375.01409375
transcript.pyannote[188].end 3389.54346875
transcript.pyannote[189].speaker SPEAKER_22
transcript.pyannote[189].start 3389.77971875
transcript.pyannote[189].end 3394.94346875
transcript.pyannote[190].speaker SPEAKER_22
transcript.pyannote[190].start 3394.96034375
transcript.pyannote[190].end 3404.51159375
transcript.pyannote[191].speaker SPEAKER_22
transcript.pyannote[191].start 3404.86596875
transcript.pyannote[191].end 3410.51909375
transcript.pyannote[192].speaker SPEAKER_22
transcript.pyannote[192].start 3410.65409375
transcript.pyannote[192].end 3419.10846875
transcript.pyannote[193].speaker SPEAKER_22
transcript.pyannote[193].start 3419.54721875
transcript.pyannote[193].end 3421.42034375
transcript.pyannote[194].speaker SPEAKER_22
transcript.pyannote[194].start 3421.79159375
transcript.pyannote[194].end 3427.68096875
transcript.pyannote[195].speaker SPEAKER_22
transcript.pyannote[195].start 3427.96784375
transcript.pyannote[195].end 3453.46596875
transcript.pyannote[196].speaker SPEAKER_22
transcript.pyannote[196].start 3454.24221875
transcript.pyannote[196].end 3471.74159375
transcript.pyannote[197].speaker SPEAKER_11
transcript.pyannote[197].start 3471.74159375
transcript.pyannote[197].end 3505.77846875
transcript.pyannote[198].speaker SPEAKER_22
transcript.pyannote[198].start 3504.81659375
transcript.pyannote[198].end 3509.01846875
transcript.pyannote[199].speaker SPEAKER_11
transcript.pyannote[199].start 3506.79096875
transcript.pyannote[199].end 3513.03471875
transcript.pyannote[200].speaker SPEAKER_22
transcript.pyannote[200].start 3513.03471875
transcript.pyannote[200].end 3523.54784375
transcript.pyannote[201].speaker SPEAKER_22
transcript.pyannote[201].start 3524.10471875
transcript.pyannote[201].end 3526.02846875
transcript.pyannote[202].speaker SPEAKER_22
transcript.pyannote[202].start 3526.28159375
transcript.pyannote[202].end 3531.25971875
transcript.pyannote[203].speaker SPEAKER_22
transcript.pyannote[203].start 3531.58034375
transcript.pyannote[203].end 3534.71909375
transcript.pyannote[204].speaker SPEAKER_22
transcript.pyannote[204].start 3535.27596875
transcript.pyannote[204].end 3536.81159375
transcript.pyannote[205].speaker SPEAKER_22
transcript.pyannote[205].start 3537.46971875
transcript.pyannote[205].end 3553.18034375
transcript.pyannote[206].speaker SPEAKER_22
transcript.pyannote[206].start 3553.72034375
transcript.pyannote[206].end 3562.74846875
transcript.pyannote[207].speaker SPEAKER_22
transcript.pyannote[207].start 3563.38971875
transcript.pyannote[207].end 3568.35096875
transcript.pyannote[208].speaker SPEAKER_22
transcript.pyannote[208].start 3568.87409375
transcript.pyannote[208].end 3571.97909375
transcript.pyannote[209].speaker SPEAKER_22
transcript.pyannote[209].start 3572.19846875
transcript.pyannote[209].end 3574.49346875
transcript.pyannote[210].speaker SPEAKER_22
transcript.pyannote[210].start 3575.20221875
transcript.pyannote[210].end 3583.09971875
transcript.pyannote[211].speaker SPEAKER_22
transcript.pyannote[211].start 3583.60596875
transcript.pyannote[211].end 3595.55346875
transcript.pyannote[212].speaker SPEAKER_22
transcript.pyannote[212].start 3596.02596875
transcript.pyannote[212].end 3602.72534375
transcript.pyannote[213].speaker SPEAKER_22
transcript.pyannote[213].start 3603.18096875
transcript.pyannote[213].end 3614.38596875
transcript.pyannote[214].speaker SPEAKER_22
transcript.pyannote[214].start 3617.20409375
transcript.pyannote[214].end 3617.92971875
transcript.pyannote[215].speaker SPEAKER_04
transcript.pyannote[215].start 3617.92971875
transcript.pyannote[215].end 3663.89721875
transcript.pyannote[216].speaker SPEAKER_04
transcript.pyannote[216].start 3664.36971875
transcript.pyannote[216].end 3671.35596875
transcript.pyannote[217].speaker SPEAKER_04
transcript.pyannote[217].start 3671.57534375
transcript.pyannote[217].end 3699.40221875
transcript.pyannote[218].speaker SPEAKER_22
transcript.pyannote[218].start 3698.71034375
transcript.pyannote[218].end 3724.54596875
transcript.pyannote[219].speaker SPEAKER_22
transcript.pyannote[219].start 3725.42346875
transcript.pyannote[219].end 3731.66721875
transcript.pyannote[220].speaker SPEAKER_22
transcript.pyannote[220].start 3731.92034375
transcript.pyannote[220].end 3732.67971875
transcript.pyannote[221].speaker SPEAKER_22
transcript.pyannote[221].start 3733.42221875
transcript.pyannote[221].end 3766.31159375
transcript.pyannote[222].speaker SPEAKER_22
transcript.pyannote[222].start 3767.39159375
transcript.pyannote[222].end 3767.40846875
transcript.pyannote[223].speaker SPEAKER_11
transcript.pyannote[223].start 3767.40846875
transcript.pyannote[223].end 3852.76221875
transcript.pyannote[224].speaker SPEAKER_10
transcript.pyannote[224].start 3844.35846875
transcript.pyannote[224].end 3844.45971875
transcript.pyannote[225].speaker SPEAKER_22
transcript.pyannote[225].start 3844.45971875
transcript.pyannote[225].end 3844.61159375
transcript.pyannote[226].speaker SPEAKER_10
transcript.pyannote[226].start 3844.61159375
transcript.pyannote[226].end 3844.64534375
transcript.pyannote[227].speaker SPEAKER_10
transcript.pyannote[227].start 3844.66221875
transcript.pyannote[227].end 3844.67909375
transcript.pyannote[228].speaker SPEAKER_22
transcript.pyannote[228].start 3852.76221875
transcript.pyannote[228].end 3864.50721875
transcript.pyannote[229].speaker SPEAKER_22
transcript.pyannote[229].start 3865.57034375
transcript.pyannote[229].end 3867.91596875
transcript.pyannote[230].speaker SPEAKER_22
transcript.pyannote[230].start 3868.33784375
transcript.pyannote[230].end 3879.52596875
transcript.pyannote[231].speaker SPEAKER_22
transcript.pyannote[231].start 3880.04909375
transcript.pyannote[231].end 3906.18846875
transcript.pyannote[232].speaker SPEAKER_22
transcript.pyannote[232].start 3906.44159375
transcript.pyannote[232].end 3913.86659375
transcript.pyannote[233].speaker SPEAKER_22
transcript.pyannote[233].start 3914.57534375
transcript.pyannote[233].end 3915.60471875
transcript.pyannote[234].speaker SPEAKER_22
transcript.pyannote[234].start 3916.22909375
transcript.pyannote[234].end 3921.93284375
transcript.pyannote[235].speaker SPEAKER_22
transcript.pyannote[235].start 3922.43909375
transcript.pyannote[235].end 3942.85784375
transcript.pyannote[236].speaker SPEAKER_22
transcript.pyannote[236].start 3944.81534375
transcript.pyannote[236].end 3944.96721875
transcript.pyannote[237].speaker SPEAKER_11
transcript.pyannote[237].start 3944.96721875
transcript.pyannote[237].end 3967.30971875
transcript.pyannote[238].speaker SPEAKER_22
transcript.pyannote[238].start 3966.76971875
transcript.pyannote[238].end 3992.14971875
transcript.pyannote[239].speaker SPEAKER_11
transcript.pyannote[239].start 3991.37346875
transcript.pyannote[239].end 3992.09909375
transcript.pyannote[240].speaker SPEAKER_11
transcript.pyannote[240].start 3992.14971875
transcript.pyannote[240].end 3992.16659375
transcript.pyannote[241].speaker SPEAKER_22
transcript.pyannote[241].start 3992.16659375
transcript.pyannote[241].end 3992.97659375
transcript.pyannote[242].speaker SPEAKER_11
transcript.pyannote[242].start 3992.97659375
transcript.pyannote[242].end 3995.67659375
transcript.pyannote[243].speaker SPEAKER_13
transcript.pyannote[243].start 3997.43159375
transcript.pyannote[243].end 4000.65471875
transcript.pyannote[244].speaker SPEAKER_13
transcript.pyannote[244].start 4001.05971875
transcript.pyannote[244].end 4003.94534375
transcript.pyannote[245].speaker SPEAKER_14
transcript.pyannote[245].start 4013.10846875
transcript.pyannote[245].end 4016.44971875
transcript.pyannote[246].speaker SPEAKER_18
transcript.pyannote[246].start 4022.27159375
transcript.pyannote[246].end 4022.96346875
transcript.pyannote[247].speaker SPEAKER_14
transcript.pyannote[247].start 4022.96346875
transcript.pyannote[247].end 4022.98034375
transcript.pyannote[248].speaker SPEAKER_14
transcript.pyannote[248].start 4023.04784375
transcript.pyannote[248].end 4023.89159375
transcript.pyannote[249].speaker SPEAKER_14
transcript.pyannote[249].start 4024.43159375
transcript.pyannote[249].end 4030.65846875
transcript.pyannote[250].speaker SPEAKER_14
transcript.pyannote[250].start 4031.87346875
transcript.pyannote[250].end 4034.91096875
transcript.pyannote[251].speaker SPEAKER_14
transcript.pyannote[251].start 4035.65346875
transcript.pyannote[251].end 4039.18034375
transcript.pyannote[252].speaker SPEAKER_14
transcript.pyannote[252].start 4039.48409375
transcript.pyannote[252].end 4040.68221875
transcript.pyannote[253].speaker SPEAKER_14
transcript.pyannote[253].start 4041.42471875
transcript.pyannote[253].end 4048.91721875
transcript.pyannote[254].speaker SPEAKER_14
transcript.pyannote[254].start 4049.87909375
transcript.pyannote[254].end 4055.53221875
transcript.pyannote[255].speaker SPEAKER_14
transcript.pyannote[255].start 4055.59971875
transcript.pyannote[255].end 4058.65409375
transcript.pyannote[256].speaker SPEAKER_14
transcript.pyannote[256].start 4059.31221875
transcript.pyannote[256].end 4061.32034375
transcript.pyannote[257].speaker SPEAKER_14
transcript.pyannote[257].start 4061.97846875
transcript.pyannote[257].end 4083.86534375
transcript.pyannote[258].speaker SPEAKER_14
transcript.pyannote[258].start 4084.30409375
transcript.pyannote[258].end 4095.66096875
transcript.pyannote[259].speaker SPEAKER_14
transcript.pyannote[259].start 4096.20096875
transcript.pyannote[259].end 4098.59721875
transcript.pyannote[260].speaker SPEAKER_14
transcript.pyannote[260].start 4099.67721875
transcript.pyannote[260].end 4107.05159375
transcript.pyannote[261].speaker SPEAKER_14
transcript.pyannote[261].start 4108.03034375
transcript.pyannote[261].end 4127.89221875
transcript.pyannote[262].speaker SPEAKER_14
transcript.pyannote[262].start 4128.07784375
transcript.pyannote[262].end 4129.73159375
transcript.pyannote[263].speaker SPEAKER_14
transcript.pyannote[263].start 4130.01846875
transcript.pyannote[263].end 4131.58784375
transcript.pyannote[264].speaker SPEAKER_11
transcript.pyannote[264].start 4132.41471875
transcript.pyannote[264].end 4150.82534375
transcript.pyannote[265].speaker SPEAKER_00
transcript.pyannote[265].start 4141.88159375
transcript.pyannote[265].end 4141.89846875
transcript.pyannote[266].speaker SPEAKER_19
transcript.pyannote[266].start 4141.89846875
transcript.pyannote[266].end 4142.20221875
transcript.pyannote[267].speaker SPEAKER_14
transcript.pyannote[267].start 4150.82534375
transcript.pyannote[267].end 4159.39784375
transcript.pyannote[268].speaker SPEAKER_11
transcript.pyannote[268].start 4157.30534375
transcript.pyannote[268].end 4181.97659375
transcript.pyannote[269].speaker SPEAKER_14
transcript.pyannote[269].start 4163.41409375
transcript.pyannote[269].end 4165.11846875
transcript.pyannote[270].speaker SPEAKER_14
transcript.pyannote[270].start 4169.43846875
transcript.pyannote[270].end 4170.19784375
transcript.pyannote[271].speaker SPEAKER_00
transcript.pyannote[271].start 4170.19784375
transcript.pyannote[271].end 4170.21471875
transcript.pyannote[272].speaker SPEAKER_14
transcript.pyannote[272].start 4172.45909375
transcript.pyannote[272].end 4172.96534375
transcript.pyannote[273].speaker SPEAKER_00
transcript.pyannote[273].start 4172.96534375
transcript.pyannote[273].end 4173.58971875
transcript.pyannote[274].speaker SPEAKER_14
transcript.pyannote[274].start 4173.58971875
transcript.pyannote[274].end 4173.84284375
transcript.pyannote[275].speaker SPEAKER_14
transcript.pyannote[275].start 4181.04846875
transcript.pyannote[275].end 4181.87534375
transcript.pyannote[276].speaker SPEAKER_14
transcript.pyannote[276].start 4181.97659375
transcript.pyannote[276].end 4185.85784375
transcript.pyannote[277].speaker SPEAKER_14
transcript.pyannote[277].start 4186.17846875
transcript.pyannote[277].end 4193.56971875
transcript.pyannote[278].speaker SPEAKER_14
transcript.pyannote[278].start 4193.83971875
transcript.pyannote[278].end 4215.96284375
transcript.pyannote[279].speaker SPEAKER_11
transcript.pyannote[279].start 4215.96284375
transcript.pyannote[279].end 4220.23221875
transcript.pyannote[280].speaker SPEAKER_14
transcript.pyannote[280].start 4217.39721875
transcript.pyannote[280].end 4228.68659375
transcript.pyannote[281].speaker SPEAKER_04
transcript.pyannote[281].start 4229.17596875
transcript.pyannote[281].end 4232.97284375
transcript.pyannote[282].speaker SPEAKER_04
transcript.pyannote[282].start 4233.12471875
transcript.pyannote[282].end 4257.44159375
transcript.pyannote[283].speaker SPEAKER_14
transcript.pyannote[283].start 4257.44159375
transcript.pyannote[283].end 4266.77346875
transcript.pyannote[284].speaker SPEAKER_14
transcript.pyannote[284].start 4266.99284375
transcript.pyannote[284].end 4281.62346875
transcript.pyannote[285].speaker SPEAKER_04
transcript.pyannote[285].start 4277.03346875
transcript.pyannote[285].end 4277.48909375
transcript.pyannote[286].speaker SPEAKER_04
transcript.pyannote[286].start 4281.62346875
transcript.pyannote[286].end 4292.35596875
transcript.pyannote[287].speaker SPEAKER_14
transcript.pyannote[287].start 4287.12471875
transcript.pyannote[287].end 4287.46221875
transcript.pyannote[288].speaker SPEAKER_14
transcript.pyannote[288].start 4291.68096875
transcript.pyannote[288].end 4308.96096875
transcript.pyannote[289].speaker SPEAKER_04
transcript.pyannote[289].start 4293.77346875
transcript.pyannote[289].end 4293.85784375
transcript.pyannote[290].speaker SPEAKER_19
transcript.pyannote[290].start 4293.85784375
transcript.pyannote[290].end 4293.87471875
transcript.pyannote[291].speaker SPEAKER_04
transcript.pyannote[291].start 4293.87471875
transcript.pyannote[291].end 4295.34284375
transcript.pyannote[292].speaker SPEAKER_04
transcript.pyannote[292].start 4306.07534375
transcript.pyannote[292].end 4306.36221875
transcript.pyannote[293].speaker SPEAKER_04
transcript.pyannote[293].start 4308.96096875
transcript.pyannote[293].end 4309.12971875
transcript.pyannote[294].speaker SPEAKER_04
transcript.pyannote[294].start 4309.16346875
transcript.pyannote[294].end 4314.98534375
transcript.pyannote[295].speaker SPEAKER_14
transcript.pyannote[295].start 4310.56409375
transcript.pyannote[295].end 4310.81721875
transcript.pyannote[296].speaker SPEAKER_14
transcript.pyannote[296].start 4313.23034375
transcript.pyannote[296].end 4314.83346875
transcript.pyannote[297].speaker SPEAKER_04
transcript.pyannote[297].start 4315.05284375
transcript.pyannote[297].end 4323.62534375
transcript.pyannote[298].speaker SPEAKER_14
transcript.pyannote[298].start 4320.73971875
transcript.pyannote[298].end 4321.97159375
transcript.pyannote[299].speaker SPEAKER_04
transcript.pyannote[299].start 4324.03034375
transcript.pyannote[299].end 4325.78534375
transcript.pyannote[300].speaker SPEAKER_04
transcript.pyannote[300].start 4325.85284375
transcript.pyannote[300].end 4325.86971875
transcript.pyannote[301].speaker SPEAKER_14
transcript.pyannote[301].start 4325.86971875
transcript.pyannote[301].end 4328.73846875
transcript.pyannote[302].speaker SPEAKER_04
transcript.pyannote[302].start 4326.20721875
transcript.pyannote[302].end 4326.73034375
transcript.pyannote[303].speaker SPEAKER_04
transcript.pyannote[303].start 4327.37159375
transcript.pyannote[303].end 4328.55284375
transcript.pyannote[304].speaker SPEAKER_04
transcript.pyannote[304].start 4328.73846875
transcript.pyannote[304].end 4328.89034375
transcript.pyannote[305].speaker SPEAKER_19
transcript.pyannote[305].start 4328.89034375
transcript.pyannote[305].end 4328.90721875
transcript.pyannote[306].speaker SPEAKER_04
transcript.pyannote[306].start 4329.12659375
transcript.pyannote[306].end 4339.97721875
transcript.pyannote[307].speaker SPEAKER_14
transcript.pyannote[307].start 4340.12909375
transcript.pyannote[307].end 4348.34721875
transcript.pyannote[308].speaker SPEAKER_14
transcript.pyannote[308].start 4348.75221875
transcript.pyannote[308].end 4359.70409375
transcript.pyannote[309].speaker SPEAKER_14
transcript.pyannote[309].start 4360.24409375
transcript.pyannote[309].end 4368.54659375
transcript.pyannote[310].speaker SPEAKER_11
transcript.pyannote[310].start 4366.48784375
transcript.pyannote[310].end 4367.14596875
transcript.pyannote[311].speaker SPEAKER_11
transcript.pyannote[311].start 4367.16284375
transcript.pyannote[311].end 4391.02409375
transcript.pyannote[312].speaker SPEAKER_19
transcript.pyannote[312].start 4382.38409375
transcript.pyannote[312].end 4386.75471875
transcript.pyannote[313].speaker SPEAKER_10
transcript.pyannote[313].start 4386.75471875
transcript.pyannote[313].end 4386.77159375
transcript.pyannote[314].speaker SPEAKER_14
transcript.pyannote[314].start 4391.02409375
transcript.pyannote[314].end 4400.27159375
transcript.pyannote[315].speaker SPEAKER_14
transcript.pyannote[315].start 4400.87909375
transcript.pyannote[315].end 4406.02596875
transcript.pyannote[316].speaker SPEAKER_14
transcript.pyannote[316].start 4406.11034375
transcript.pyannote[316].end 4414.14284375
transcript.pyannote[317].speaker SPEAKER_14
transcript.pyannote[317].start 4414.86846875
transcript.pyannote[317].end 4416.11721875
transcript.pyannote[318].speaker SPEAKER_14
transcript.pyannote[318].start 4416.28596875
transcript.pyannote[318].end 4422.24284375
transcript.pyannote[319].speaker SPEAKER_14
transcript.pyannote[319].start 4422.71534375
transcript.pyannote[319].end 4423.54221875
transcript.pyannote[320].speaker SPEAKER_11
transcript.pyannote[320].start 4425.01034375
transcript.pyannote[320].end 4440.68721875
transcript.pyannote[321].speaker SPEAKER_14
transcript.pyannote[321].start 4438.54409375
transcript.pyannote[321].end 4442.07096875
transcript.pyannote[322].speaker SPEAKER_11
transcript.pyannote[322].start 4442.07096875
transcript.pyannote[322].end 4442.10471875
transcript.pyannote[323].speaker SPEAKER_14
transcript.pyannote[323].start 4442.10471875
transcript.pyannote[323].end 4456.81971875
transcript.pyannote[324].speaker SPEAKER_14
transcript.pyannote[324].start 4458.16971875
transcript.pyannote[324].end 4458.20346875
transcript.pyannote[325].speaker SPEAKER_11
transcript.pyannote[325].start 4458.20346875
transcript.pyannote[325].end 4465.86471875
transcript.pyannote[326].speaker SPEAKER_11
transcript.pyannote[326].start 4466.23596875
transcript.pyannote[326].end 4467.63659375
transcript.pyannote[327].speaker SPEAKER_14
transcript.pyannote[327].start 4467.63659375
transcript.pyannote[327].end 4467.65346875
transcript.pyannote[328].speaker SPEAKER_11
transcript.pyannote[328].start 4467.65346875
transcript.pyannote[328].end 4469.64471875
transcript.pyannote[329].speaker SPEAKER_14
transcript.pyannote[329].start 4468.59846875
transcript.pyannote[329].end 4469.40846875
transcript.pyannote[330].speaker SPEAKER_14
transcript.pyannote[330].start 4469.64471875
transcript.pyannote[330].end 4469.67846875
transcript.pyannote[331].speaker SPEAKER_11
transcript.pyannote[331].start 4469.67846875
transcript.pyannote[331].end 4469.79659375
transcript.pyannote[332].speaker SPEAKER_14
transcript.pyannote[332].start 4469.79659375
transcript.pyannote[332].end 4469.83034375
transcript.pyannote[333].speaker SPEAKER_11
transcript.pyannote[333].start 4469.83034375
transcript.pyannote[333].end 4469.86409375
transcript.pyannote[334].speaker SPEAKER_14
transcript.pyannote[334].start 4469.86409375
transcript.pyannote[334].end 4469.94846875
transcript.pyannote[335].speaker SPEAKER_11
transcript.pyannote[335].start 4469.94846875
transcript.pyannote[335].end 4470.03284375
transcript.pyannote[336].speaker SPEAKER_14
transcript.pyannote[336].start 4470.03284375
transcript.pyannote[336].end 4473.22221875
transcript.pyannote[337].speaker SPEAKER_11
transcript.pyannote[337].start 4473.22221875
transcript.pyannote[337].end 4481.55846875
transcript.pyannote[338].speaker SPEAKER_14
transcript.pyannote[338].start 4475.60159375
transcript.pyannote[338].end 4476.20909375
transcript.pyannote[339].speaker SPEAKER_14
transcript.pyannote[339].start 4478.72346875
transcript.pyannote[339].end 4503.29346875
transcript.pyannote[340].speaker SPEAKER_11
transcript.pyannote[340].start 4482.68909375
transcript.pyannote[340].end 4483.71846875
transcript.pyannote[341].speaker SPEAKER_14
transcript.pyannote[341].start 4504.22159375
transcript.pyannote[341].end 4505.09909375
transcript.pyannote[342].speaker SPEAKER_14
transcript.pyannote[342].start 4505.40284375
transcript.pyannote[342].end 4506.68534375
transcript.pyannote[343].speaker SPEAKER_14
transcript.pyannote[343].start 4507.00596875
transcript.pyannote[343].end 4508.50784375
transcript.pyannote[344].speaker SPEAKER_14
transcript.pyannote[344].start 4508.71034375
transcript.pyannote[344].end 4520.65784375
transcript.pyannote[345].speaker SPEAKER_14
transcript.pyannote[345].start 4521.14721875
transcript.pyannote[345].end 4523.96534375
transcript.pyannote[346].speaker SPEAKER_11
transcript.pyannote[346].start 4523.96534375
transcript.pyannote[346].end 4540.03034375
transcript.pyannote[347].speaker SPEAKER_19
transcript.pyannote[347].start 4533.70221875
transcript.pyannote[347].end 4534.66409375
transcript.pyannote[348].speaker SPEAKER_14
transcript.pyannote[348].start 4540.03034375
transcript.pyannote[348].end 4542.35909375
transcript.pyannote[349].speaker SPEAKER_19
transcript.pyannote[349].start 4542.35909375
transcript.pyannote[349].end 4542.83159375
transcript.pyannote[350].speaker SPEAKER_14
transcript.pyannote[350].start 4543.10159375
transcript.pyannote[350].end 4568.73471875
transcript.pyannote[351].speaker SPEAKER_14
transcript.pyannote[351].start 4568.92034375
transcript.pyannote[351].end 4577.96534375
transcript.pyannote[352].speaker SPEAKER_11
transcript.pyannote[352].start 4577.96534375
transcript.pyannote[352].end 4621.03034375
transcript.pyannote[353].speaker SPEAKER_00
transcript.pyannote[353].start 4586.67284375
transcript.pyannote[353].end 4586.70659375
transcript.pyannote[354].speaker SPEAKER_06
transcript.pyannote[354].start 4586.70659375
transcript.pyannote[354].end 4586.75721875
transcript.pyannote[355].speaker SPEAKER_19
transcript.pyannote[355].start 4586.75721875
transcript.pyannote[355].end 4586.89221875
transcript.pyannote[356].speaker SPEAKER_06
transcript.pyannote[356].start 4586.89221875
transcript.pyannote[356].end 4586.94284375
transcript.pyannote[357].speaker SPEAKER_00
transcript.pyannote[357].start 4586.94284375
transcript.pyannote[357].end 4587.09471875
transcript.pyannote[358].speaker SPEAKER_03
transcript.pyannote[358].start 4607.17596875
transcript.pyannote[358].end 4607.46284375
transcript.pyannote[359].speaker SPEAKER_14
transcript.pyannote[359].start 4612.52534375
transcript.pyannote[359].end 4616.77784375
transcript.pyannote[360].speaker SPEAKER_14
transcript.pyannote[360].start 4621.03034375
transcript.pyannote[360].end 4633.90596875
transcript.pyannote[361].speaker SPEAKER_14
transcript.pyannote[361].start 4634.34471875
transcript.pyannote[361].end 4639.60971875
transcript.pyannote[362].speaker SPEAKER_14
transcript.pyannote[362].start 4639.98096875
transcript.pyannote[362].end 4646.07284375
transcript.pyannote[363].speaker SPEAKER_14
transcript.pyannote[363].start 4646.08971875
transcript.pyannote[363].end 4646.10659375
transcript.pyannote[364].speaker SPEAKER_18
transcript.pyannote[364].start 4646.10659375
transcript.pyannote[364].end 4646.46096875
transcript.pyannote[365].speaker SPEAKER_14
transcript.pyannote[365].start 4646.91659375
transcript.pyannote[365].end 4679.50221875
transcript.pyannote[366].speaker SPEAKER_14
transcript.pyannote[366].start 4680.17721875
transcript.pyannote[366].end 4680.97034375
transcript.pyannote[367].speaker SPEAKER_11
transcript.pyannote[367].start 4680.97034375
transcript.pyannote[367].end 4681.29096875
transcript.pyannote[368].speaker SPEAKER_14
transcript.pyannote[368].start 4681.29096875
transcript.pyannote[368].end 4681.61159375
transcript.pyannote[369].speaker SPEAKER_11
transcript.pyannote[369].start 4681.61159375
transcript.pyannote[369].end 4681.64534375
transcript.pyannote[370].speaker SPEAKER_14
transcript.pyannote[370].start 4681.64534375
transcript.pyannote[370].end 4681.67909375
transcript.pyannote[371].speaker SPEAKER_11
transcript.pyannote[371].start 4681.67909375
transcript.pyannote[371].end 4681.72971875
transcript.pyannote[372].speaker SPEAKER_14
transcript.pyannote[372].start 4681.72971875
transcript.pyannote[372].end 4681.96596875
transcript.pyannote[373].speaker SPEAKER_11
transcript.pyannote[373].start 4681.96596875
transcript.pyannote[373].end 4683.85596875
transcript.pyannote[374].speaker SPEAKER_14
transcript.pyannote[374].start 4683.85596875
transcript.pyannote[374].end 4689.01971875
transcript.pyannote[375].speaker SPEAKER_11
transcript.pyannote[375].start 4684.15971875
transcript.pyannote[375].end 4684.17659375
transcript.pyannote[376].speaker SPEAKER_14
transcript.pyannote[376].start 4689.32346875
transcript.pyannote[376].end 4690.55534375
transcript.pyannote[377].speaker SPEAKER_03
transcript.pyannote[377].start 4696.25909375
transcript.pyannote[377].end 4701.22034375
transcript.pyannote[378].speaker SPEAKER_03
transcript.pyannote[378].start 4701.86159375
transcript.pyannote[378].end 4708.74659375
transcript.pyannote[379].speaker SPEAKER_14
transcript.pyannote[379].start 4708.34159375
transcript.pyannote[379].end 4712.34096875
transcript.pyannote[380].speaker SPEAKER_03
transcript.pyannote[380].start 4710.01221875
transcript.pyannote[380].end 4713.84284375
transcript.pyannote[381].speaker SPEAKER_14
transcript.pyannote[381].start 4713.84284375
transcript.pyannote[381].end 4719.47909375
transcript.pyannote[382].speaker SPEAKER_14
transcript.pyannote[382].start 4720.06971875
transcript.pyannote[382].end 4732.03409375
transcript.pyannote[383].speaker SPEAKER_14
transcript.pyannote[383].start 4732.15221875
transcript.pyannote[383].end 4734.39659375
transcript.pyannote[384].speaker SPEAKER_03
transcript.pyannote[384].start 4737.19784375
transcript.pyannote[384].end 4739.42534375
transcript.pyannote[385].speaker SPEAKER_03
transcript.pyannote[385].start 4739.57721875
transcript.pyannote[385].end 4740.53909375
transcript.pyannote[386].speaker SPEAKER_03
transcript.pyannote[386].start 4741.23096875
transcript.pyannote[386].end 4741.46721875
transcript.pyannote[387].speaker SPEAKER_03
transcript.pyannote[387].start 4742.02409375
transcript.pyannote[387].end 4744.06596875
transcript.pyannote[388].speaker SPEAKER_03
transcript.pyannote[388].start 4744.38659375
transcript.pyannote[388].end 4749.24659375
transcript.pyannote[389].speaker SPEAKER_14
transcript.pyannote[389].start 4748.16659375
transcript.pyannote[389].end 4750.59659375
transcript.pyannote[390].speaker SPEAKER_03
transcript.pyannote[390].start 4749.38159375
transcript.pyannote[390].end 4757.39721875
transcript.pyannote[391].speaker SPEAKER_03
transcript.pyannote[391].start 4757.78534375
transcript.pyannote[391].end 4762.29096875
transcript.pyannote[392].speaker SPEAKER_03
transcript.pyannote[392].start 4762.35846875
transcript.pyannote[392].end 4767.74159375
transcript.pyannote[393].speaker SPEAKER_14
transcript.pyannote[393].start 4767.74159375
transcript.pyannote[393].end 4782.91221875
transcript.pyannote[394].speaker SPEAKER_14
transcript.pyannote[394].start 4783.08096875
transcript.pyannote[394].end 4820.76284375
transcript.pyannote[395].speaker SPEAKER_14
transcript.pyannote[395].start 4820.84721875
transcript.pyannote[395].end 4831.19159375
transcript.pyannote[396].speaker SPEAKER_14
transcript.pyannote[396].start 4831.63034375
transcript.pyannote[396].end 4832.79471875
transcript.pyannote[397].speaker SPEAKER_14
transcript.pyannote[397].start 4833.13221875
transcript.pyannote[397].end 4835.78159375
transcript.pyannote[398].speaker SPEAKER_13
transcript.pyannote[398].start 4836.40596875
transcript.pyannote[398].end 4839.71346875
transcript.pyannote[399].speaker SPEAKER_13
transcript.pyannote[399].start 4840.16909375
transcript.pyannote[399].end 4842.58221875
transcript.pyannote[400].speaker SPEAKER_08
transcript.pyannote[400].start 4851.01971875
transcript.pyannote[400].end 4853.98971875
transcript.pyannote[401].speaker SPEAKER_13
transcript.pyannote[401].start 4853.92221875
transcript.pyannote[401].end 4854.79971875
transcript.pyannote[402].speaker SPEAKER_08
transcript.pyannote[402].start 4854.24284375
transcript.pyannote[402].end 4858.61346875
transcript.pyannote[403].speaker SPEAKER_13
transcript.pyannote[403].start 4858.61346875
transcript.pyannote[403].end 4858.96784375
transcript.pyannote[404].speaker SPEAKER_08
transcript.pyannote[404].start 4858.96784375
transcript.pyannote[404].end 4859.47409375
transcript.pyannote[405].speaker SPEAKER_13
transcript.pyannote[405].start 4859.47409375
transcript.pyannote[405].end 4859.54159375
transcript.pyannote[406].speaker SPEAKER_08
transcript.pyannote[406].start 4859.54159375
transcript.pyannote[406].end 4859.55846875
transcript.pyannote[407].speaker SPEAKER_13
transcript.pyannote[407].start 4859.55846875
transcript.pyannote[407].end 4859.84534375
transcript.pyannote[408].speaker SPEAKER_08
transcript.pyannote[408].start 4859.84534375
transcript.pyannote[408].end 4859.91284375
transcript.pyannote[409].speaker SPEAKER_08
transcript.pyannote[409].start 4861.26284375
transcript.pyannote[409].end 4861.90409375
transcript.pyannote[410].speaker SPEAKER_08
transcript.pyannote[410].start 4862.64659375
transcript.pyannote[410].end 4898.28659375
transcript.pyannote[411].speaker SPEAKER_11
transcript.pyannote[411].start 4897.74659375
transcript.pyannote[411].end 4898.87721875
transcript.pyannote[412].speaker SPEAKER_08
transcript.pyannote[412].start 4898.87721875
transcript.pyannote[412].end 4959.39096875
transcript.pyannote[413].speaker SPEAKER_11
transcript.pyannote[413].start 4898.89409375
transcript.pyannote[413].end 4899.19784375
transcript.pyannote[414].speaker SPEAKER_08
transcript.pyannote[414].start 4959.66096875
transcript.pyannote[414].end 4969.90409375
transcript.pyannote[415].speaker SPEAKER_11
transcript.pyannote[415].start 4971.06846875
transcript.pyannote[415].end 5011.97346875
transcript.pyannote[416].speaker SPEAKER_00
transcript.pyannote[416].start 4990.79534375
transcript.pyannote[416].end 4991.23409375
transcript.pyannote[417].speaker SPEAKER_08
transcript.pyannote[417].start 5011.97346875
transcript.pyannote[417].end 5031.71721875
transcript.pyannote[418].speaker SPEAKER_08
transcript.pyannote[418].start 5032.18971875
transcript.pyannote[418].end 5054.11034375
transcript.pyannote[419].speaker SPEAKER_07
transcript.pyannote[419].start 5060.82659375
transcript.pyannote[419].end 5063.07096875
transcript.pyannote[420].speaker SPEAKER_07
transcript.pyannote[420].start 5064.38721875
transcript.pyannote[420].end 5085.75096875
transcript.pyannote[421].speaker SPEAKER_07
transcript.pyannote[421].start 5087.40471875
transcript.pyannote[421].end 5088.02909375
transcript.pyannote[422].speaker SPEAKER_07
transcript.pyannote[422].start 5088.06284375
transcript.pyannote[422].end 5090.12159375
transcript.pyannote[423].speaker SPEAKER_07
transcript.pyannote[423].start 5090.22284375
transcript.pyannote[423].end 5092.88909375
transcript.pyannote[424].speaker SPEAKER_07
transcript.pyannote[424].start 5093.31096875
transcript.pyannote[424].end 5094.03659375
transcript.pyannote[425].speaker SPEAKER_07
transcript.pyannote[425].start 5094.55971875
transcript.pyannote[425].end 5098.42409375
transcript.pyannote[426].speaker SPEAKER_07
transcript.pyannote[426].start 5098.72784375
transcript.pyannote[426].end 5099.25096875
transcript.pyannote[427].speaker SPEAKER_07
transcript.pyannote[427].start 5099.35221875
transcript.pyannote[427].end 5100.43221875
transcript.pyannote[428].speaker SPEAKER_07
transcript.pyannote[428].start 5101.46159375
transcript.pyannote[428].end 5103.43596875
transcript.pyannote[429].speaker SPEAKER_08
transcript.pyannote[429].start 5103.43596875
transcript.pyannote[429].end 5103.48659375
transcript.pyannote[430].speaker SPEAKER_07
transcript.pyannote[430].start 5104.66784375
transcript.pyannote[430].end 5104.68471875
transcript.pyannote[431].speaker SPEAKER_08
transcript.pyannote[431].start 5104.68471875
transcript.pyannote[431].end 5110.96221875
transcript.pyannote[432].speaker SPEAKER_08
transcript.pyannote[432].start 5111.23221875
transcript.pyannote[432].end 5123.19659375
transcript.pyannote[433].speaker SPEAKER_18
transcript.pyannote[433].start 5121.40784375
transcript.pyannote[433].end 5121.69471875
transcript.pyannote[434].speaker SPEAKER_18
transcript.pyannote[434].start 5123.92221875
transcript.pyannote[434].end 5127.09471875
transcript.pyannote[435].speaker SPEAKER_08
transcript.pyannote[435].start 5126.38596875
transcript.pyannote[435].end 5126.40284375
transcript.pyannote[436].speaker SPEAKER_07
transcript.pyannote[436].start 5126.40284375
transcript.pyannote[436].end 5131.17846875
transcript.pyannote[437].speaker SPEAKER_07
transcript.pyannote[437].start 5131.33034375
transcript.pyannote[437].end 5132.83221875
transcript.pyannote[438].speaker SPEAKER_08
transcript.pyannote[438].start 5132.83221875
transcript.pyannote[438].end 5132.84909375
transcript.pyannote[439].speaker SPEAKER_19
transcript.pyannote[439].start 5132.84909375
transcript.pyannote[439].end 5133.10221875
transcript.pyannote[440].speaker SPEAKER_08
transcript.pyannote[440].start 5133.10221875
transcript.pyannote[440].end 5133.25409375
transcript.pyannote[441].speaker SPEAKER_07
transcript.pyannote[441].start 5133.25409375
transcript.pyannote[441].end 5133.94596875
transcript.pyannote[442].speaker SPEAKER_08
transcript.pyannote[442].start 5133.94596875
transcript.pyannote[442].end 5134.03034375
transcript.pyannote[443].speaker SPEAKER_08
transcript.pyannote[443].start 5134.30034375
transcript.pyannote[443].end 5136.08909375
transcript.pyannote[444].speaker SPEAKER_08
transcript.pyannote[444].start 5136.34221875
transcript.pyannote[444].end 5139.71721875
transcript.pyannote[445].speaker SPEAKER_08
transcript.pyannote[445].start 5140.13909375
transcript.pyannote[445].end 5142.13034375
transcript.pyannote[446].speaker SPEAKER_07
transcript.pyannote[446].start 5144.89784375
transcript.pyannote[446].end 5145.30284375
transcript.pyannote[447].speaker SPEAKER_08
transcript.pyannote[447].start 5145.30284375
transcript.pyannote[447].end 5145.33659375
transcript.pyannote[448].speaker SPEAKER_08
transcript.pyannote[448].start 5146.93971875
transcript.pyannote[448].end 5148.18846875
transcript.pyannote[449].speaker SPEAKER_11
transcript.pyannote[449].start 5151.47909375
transcript.pyannote[449].end 5152.69409375
transcript.pyannote[450].speaker SPEAKER_08
transcript.pyannote[450].start 5152.69409375
transcript.pyannote[450].end 5156.52471875
transcript.pyannote[451].speaker SPEAKER_18
transcript.pyannote[451].start 5156.33909375
transcript.pyannote[451].end 5157.03096875
transcript.pyannote[452].speaker SPEAKER_12
transcript.pyannote[452].start 5157.95909375
transcript.pyannote[452].end 5158.27971875
transcript.pyannote[453].speaker SPEAKER_12
transcript.pyannote[453].start 5158.95471875
transcript.pyannote[453].end 5163.93284375
transcript.pyannote[454].speaker SPEAKER_12
transcript.pyannote[454].start 5164.15221875
transcript.pyannote[454].end 5169.36659375
transcript.pyannote[455].speaker SPEAKER_08
transcript.pyannote[455].start 5169.99096875
transcript.pyannote[455].end 5175.84659375
transcript.pyannote[456].speaker SPEAKER_12
transcript.pyannote[456].start 5170.46346875
transcript.pyannote[456].end 5171.05409375
transcript.pyannote[457].speaker SPEAKER_12
transcript.pyannote[457].start 5175.84659375
transcript.pyannote[457].end 5176.25159375
transcript.pyannote[458].speaker SPEAKER_08
transcript.pyannote[458].start 5175.86346875
transcript.pyannote[458].end 5175.91409375
transcript.pyannote[459].speaker SPEAKER_08
transcript.pyannote[459].start 5176.74096875
transcript.pyannote[459].end 5178.20909375
transcript.pyannote[460].speaker SPEAKER_12
transcript.pyannote[460].start 5177.51721875
transcript.pyannote[460].end 5178.22596875
transcript.pyannote[461].speaker SPEAKER_08
transcript.pyannote[461].start 5178.22596875
transcript.pyannote[461].end 5182.74846875
transcript.pyannote[462].speaker SPEAKER_12
transcript.pyannote[462].start 5178.31034375
transcript.pyannote[462].end 5178.52971875
transcript.pyannote[463].speaker SPEAKER_08
transcript.pyannote[463].start 5183.38971875
transcript.pyannote[463].end 5184.18284375
transcript.pyannote[464].speaker SPEAKER_12
transcript.pyannote[464].start 5184.06471875
transcript.pyannote[464].end 5184.99284375
transcript.pyannote[465].speaker SPEAKER_08
transcript.pyannote[465].start 5184.41909375
transcript.pyannote[465].end 5189.26221875
transcript.pyannote[466].speaker SPEAKER_12
transcript.pyannote[466].start 5189.41409375
transcript.pyannote[466].end 5193.49784375
transcript.pyannote[467].speaker SPEAKER_08
transcript.pyannote[467].start 5192.70471875
transcript.pyannote[467].end 5192.99159375
transcript.pyannote[468].speaker SPEAKER_08
transcript.pyannote[468].start 5193.17721875
transcript.pyannote[468].end 5196.83909375
transcript.pyannote[469].speaker SPEAKER_12
transcript.pyannote[469].start 5196.92346875
transcript.pyannote[469].end 5197.21034375
transcript.pyannote[470].speaker SPEAKER_08
transcript.pyannote[470].start 5197.81784375
transcript.pyannote[470].end 5199.69096875
transcript.pyannote[471].speaker SPEAKER_08
transcript.pyannote[471].start 5199.94409375
transcript.pyannote[471].end 5212.00971875
transcript.pyannote[472].speaker SPEAKER_12
transcript.pyannote[472].start 5212.27971875
transcript.pyannote[472].end 5217.54471875
transcript.pyannote[473].speaker SPEAKER_12
transcript.pyannote[473].start 5217.86534375
transcript.pyannote[473].end 5220.63284375
transcript.pyannote[474].speaker SPEAKER_12
transcript.pyannote[474].start 5220.70034375
transcript.pyannote[474].end 5226.31971875
transcript.pyannote[475].speaker SPEAKER_12
transcript.pyannote[475].start 5227.06221875
transcript.pyannote[475].end 5229.44159375
transcript.pyannote[476].speaker SPEAKER_12
transcript.pyannote[476].start 5230.11659375
transcript.pyannote[476].end 5236.05659375
transcript.pyannote[477].speaker SPEAKER_12
transcript.pyannote[477].start 5236.17471875
transcript.pyannote[477].end 5239.78596875
transcript.pyannote[478].speaker SPEAKER_08
transcript.pyannote[478].start 5239.66784375
transcript.pyannote[478].end 5267.03909375
transcript.pyannote[479].speaker SPEAKER_12
transcript.pyannote[479].start 5247.58221875
transcript.pyannote[479].end 5247.86909375
transcript.pyannote[480].speaker SPEAKER_11
transcript.pyannote[480].start 5267.03909375
transcript.pyannote[480].end 5331.60284375
transcript.pyannote[481].speaker SPEAKER_00
transcript.pyannote[481].start 5275.84784375
transcript.pyannote[481].end 5276.23596875
transcript.pyannote[482].speaker SPEAKER_08
transcript.pyannote[482].start 5331.78846875
transcript.pyannote[482].end 5336.64846875
transcript.pyannote[483].speaker SPEAKER_08
transcript.pyannote[483].start 5336.80034375
transcript.pyannote[483].end 5336.81721875
transcript.pyannote[484].speaker SPEAKER_11
transcript.pyannote[484].start 5336.81721875
transcript.pyannote[484].end 5337.39096875
transcript.pyannote[485].speaker SPEAKER_08
transcript.pyannote[485].start 5337.23909375
transcript.pyannote[485].end 5343.12846875
transcript.pyannote[486].speaker SPEAKER_08
transcript.pyannote[486].start 5343.36471875
transcript.pyannote[486].end 5347.31346875
transcript.pyannote[487].speaker SPEAKER_11
transcript.pyannote[487].start 5345.20409375
transcript.pyannote[487].end 5345.72721875
transcript.pyannote[488].speaker SPEAKER_11
transcript.pyannote[488].start 5346.25034375
transcript.pyannote[488].end 5348.05596875
transcript.pyannote[489].speaker SPEAKER_08
transcript.pyannote[489].start 5348.05596875
transcript.pyannote[489].end 5350.09784375
transcript.pyannote[490].speaker SPEAKER_11
transcript.pyannote[490].start 5348.07284375
transcript.pyannote[490].end 5348.08971875
transcript.pyannote[491].speaker SPEAKER_11
transcript.pyannote[491].start 5349.42284375
transcript.pyannote[491].end 5358.04596875
transcript.pyannote[492].speaker SPEAKER_08
transcript.pyannote[492].start 5356.39221875
transcript.pyannote[492].end 5356.96596875
transcript.pyannote[493].speaker SPEAKER_08
transcript.pyannote[493].start 5357.77596875
transcript.pyannote[493].end 5384.99534375
transcript.pyannote[494].speaker SPEAKER_08
transcript.pyannote[494].start 5386.71659375
transcript.pyannote[494].end 5387.61096875
transcript.pyannote[495].speaker SPEAKER_11
transcript.pyannote[495].start 5387.61096875
transcript.pyannote[495].end 5387.96534375
transcript.pyannote[496].speaker SPEAKER_08
transcript.pyannote[496].start 5387.96534375
transcript.pyannote[496].end 5401.71846875
transcript.pyannote[497].speaker SPEAKER_18
transcript.pyannote[497].start 5403.10221875
transcript.pyannote[497].end 5403.89534375
transcript.pyannote[498].speaker SPEAKER_04
transcript.pyannote[498].start 5405.11034375
transcript.pyannote[498].end 5469.69096875
transcript.pyannote[499].speaker SPEAKER_19
transcript.pyannote[499].start 5410.89846875
transcript.pyannote[499].end 5412.60284375
transcript.pyannote[500].speaker SPEAKER_19
transcript.pyannote[500].start 5419.53846875
transcript.pyannote[500].end 5419.55534375
transcript.pyannote[501].speaker SPEAKER_08
transcript.pyannote[501].start 5419.55534375
transcript.pyannote[501].end 5419.57221875
transcript.pyannote[502].speaker SPEAKER_19
transcript.pyannote[502].start 5419.57221875
transcript.pyannote[502].end 5419.82534375
transcript.pyannote[503].speaker SPEAKER_04
transcript.pyannote[503].start 5470.45034375
transcript.pyannote[503].end 5486.97096875
transcript.pyannote[504].speaker SPEAKER_08
transcript.pyannote[504].start 5487.22409375
transcript.pyannote[504].end 5498.37846875
transcript.pyannote[505].speaker SPEAKER_08
transcript.pyannote[505].start 5498.95221875
transcript.pyannote[505].end 5516.13096875
transcript.pyannote[506].speaker SPEAKER_04
transcript.pyannote[506].start 5516.43471875
transcript.pyannote[506].end 5542.23659375
transcript.pyannote[507].speaker SPEAKER_19
transcript.pyannote[507].start 5542.18596875
transcript.pyannote[507].end 5542.20284375
transcript.pyannote[508].speaker SPEAKER_19
transcript.pyannote[508].start 5542.23659375
transcript.pyannote[508].end 5542.32096875
transcript.pyannote[509].speaker SPEAKER_04
transcript.pyannote[509].start 5542.32096875
transcript.pyannote[509].end 5542.38846875
transcript.pyannote[510].speaker SPEAKER_19
transcript.pyannote[510].start 5542.38846875
transcript.pyannote[510].end 5542.42221875
transcript.pyannote[511].speaker SPEAKER_04
transcript.pyannote[511].start 5542.42221875
transcript.pyannote[511].end 5549.79659375
transcript.pyannote[512].speaker SPEAKER_08
transcript.pyannote[512].start 5546.60721875
transcript.pyannote[512].end 5548.76721875
transcript.pyannote[513].speaker SPEAKER_08
transcript.pyannote[513].start 5549.27346875
transcript.pyannote[513].end 5569.11846875
transcript.pyannote[514].speaker SPEAKER_13
transcript.pyannote[514].start 5570.83971875
transcript.pyannote[514].end 5576.83034375
transcript.pyannote[515].speaker SPEAKER_13
transcript.pyannote[515].start 5580.23909375
transcript.pyannote[515].end 5592.03471875
transcript.pyannote[516].speaker SPEAKER_13
transcript.pyannote[516].start 5592.43971875
transcript.pyannote[516].end 5593.08096875
transcript.pyannote[517].speaker SPEAKER_13
transcript.pyannote[517].start 5593.41846875
transcript.pyannote[517].end 5601.60284375
transcript.pyannote[518].speaker SPEAKER_09
transcript.pyannote[518].start 5603.64471875
transcript.pyannote[518].end 5605.75409375
transcript.pyannote[519].speaker SPEAKER_13
transcript.pyannote[519].start 5606.20971875
transcript.pyannote[519].end 5606.88471875
transcript.pyannote[520].speaker SPEAKER_09
transcript.pyannote[520].start 5613.41534375
transcript.pyannote[520].end 5622.47721875
transcript.pyannote[521].speaker SPEAKER_09
transcript.pyannote[521].start 5622.93284375
transcript.pyannote[521].end 5625.54846875
transcript.pyannote[522].speaker SPEAKER_09
transcript.pyannote[522].start 5626.20659375
transcript.pyannote[522].end 5629.85159375
transcript.pyannote[523].speaker SPEAKER_09
transcript.pyannote[523].start 5630.40846875
transcript.pyannote[523].end 5631.82596875
transcript.pyannote[524].speaker SPEAKER_09
transcript.pyannote[524].start 5632.70346875
transcript.pyannote[524].end 5638.87971875
transcript.pyannote[525].speaker SPEAKER_09
transcript.pyannote[525].start 5639.53784375
transcript.pyannote[525].end 5642.33909375
transcript.pyannote[526].speaker SPEAKER_09
transcript.pyannote[526].start 5642.59221875
transcript.pyannote[526].end 5645.89971875
transcript.pyannote[527].speaker SPEAKER_09
transcript.pyannote[527].start 5646.60846875
transcript.pyannote[527].end 5647.26659375
transcript.pyannote[528].speaker SPEAKER_09
transcript.pyannote[528].start 5647.53659375
transcript.pyannote[528].end 5653.94909375
transcript.pyannote[529].speaker SPEAKER_09
transcript.pyannote[529].start 5654.74221875
transcript.pyannote[529].end 5656.95284375
transcript.pyannote[530].speaker SPEAKER_09
transcript.pyannote[530].start 5657.44221875
transcript.pyannote[530].end 5660.27721875
transcript.pyannote[531].speaker SPEAKER_09
transcript.pyannote[531].start 5660.51346875
transcript.pyannote[531].end 5666.18346875
transcript.pyannote[532].speaker SPEAKER_09
transcript.pyannote[532].start 5666.84159375
transcript.pyannote[532].end 5669.49096875
transcript.pyannote[533].speaker SPEAKER_09
transcript.pyannote[533].start 5670.09846875
transcript.pyannote[533].end 5675.76846875
transcript.pyannote[534].speaker SPEAKER_11
transcript.pyannote[534].start 5677.65846875
transcript.pyannote[534].end 5679.59909375
transcript.pyannote[535].speaker SPEAKER_11
transcript.pyannote[535].start 5679.64971875
transcript.pyannote[535].end 5683.36221875
transcript.pyannote[536].speaker SPEAKER_09
transcript.pyannote[536].start 5683.04159375
transcript.pyannote[536].end 5687.66534375
transcript.pyannote[537].speaker SPEAKER_11
transcript.pyannote[537].start 5684.39159375
transcript.pyannote[537].end 5685.23534375
transcript.pyannote[538].speaker SPEAKER_11
transcript.pyannote[538].start 5685.52221875
transcript.pyannote[538].end 5690.02784375
transcript.pyannote[539].speaker SPEAKER_09
transcript.pyannote[539].start 5688.84659375
transcript.pyannote[539].end 5689.30221875
transcript.pyannote[540].speaker SPEAKER_09
transcript.pyannote[540].start 5690.12909375
transcript.pyannote[540].end 5692.44096875
transcript.pyannote[541].speaker SPEAKER_11
transcript.pyannote[541].start 5691.42846875
transcript.pyannote[541].end 5694.22971875
transcript.pyannote[542].speaker SPEAKER_09
transcript.pyannote[542].start 5694.56721875
transcript.pyannote[542].end 5697.19971875
transcript.pyannote[543].speaker SPEAKER_11
transcript.pyannote[543].start 5697.01409375
transcript.pyannote[543].end 5700.55784375
transcript.pyannote[544].speaker SPEAKER_09
transcript.pyannote[544].start 5701.43534375
transcript.pyannote[544].end 5703.19034375
transcript.pyannote[545].speaker SPEAKER_09
transcript.pyannote[545].start 5703.42659375
transcript.pyannote[545].end 5703.84846875
transcript.pyannote[546].speaker SPEAKER_09
transcript.pyannote[546].start 5704.01721875
transcript.pyannote[546].end 5704.35471875
transcript.pyannote[547].speaker SPEAKER_11
transcript.pyannote[547].start 5705.77221875
transcript.pyannote[547].end 5716.08284375
transcript.pyannote[548].speaker SPEAKER_09
transcript.pyannote[548].start 5712.94409375
transcript.pyannote[548].end 5714.39534375
transcript.pyannote[549].speaker SPEAKER_09
transcript.pyannote[549].start 5716.75784375
transcript.pyannote[549].end 5722.74846875
transcript.pyannote[550].speaker SPEAKER_09
transcript.pyannote[550].start 5723.52471875
transcript.pyannote[550].end 5724.08159375
transcript.pyannote[551].speaker SPEAKER_11
transcript.pyannote[551].start 5724.94221875
transcript.pyannote[551].end 5726.42721875
transcript.pyannote[552].speaker SPEAKER_11
transcript.pyannote[552].start 5727.97971875
transcript.pyannote[552].end 5731.47284375
transcript.pyannote[553].speaker SPEAKER_11
transcript.pyannote[553].start 5731.64159375
transcript.pyannote[553].end 5733.71721875
transcript.pyannote[554].speaker SPEAKER_09
transcript.pyannote[554].start 5732.24909375
transcript.pyannote[554].end 5736.60284375
transcript.pyannote[555].speaker SPEAKER_09
transcript.pyannote[555].start 5736.90659375
transcript.pyannote[555].end 5738.86409375
transcript.pyannote[556].speaker SPEAKER_09
transcript.pyannote[556].start 5739.28596875
transcript.pyannote[556].end 5740.48409375
transcript.pyannote[557].speaker SPEAKER_11
transcript.pyannote[557].start 5742.05346875
transcript.pyannote[557].end 5743.20096875
transcript.pyannote[558].speaker SPEAKER_11
transcript.pyannote[558].start 5743.97721875
transcript.pyannote[558].end 5745.95159375
transcript.pyannote[559].speaker SPEAKER_09
transcript.pyannote[559].start 5745.22596875
transcript.pyannote[559].end 5745.85034375
transcript.pyannote[560].speaker SPEAKER_09
transcript.pyannote[560].start 5745.95159375
transcript.pyannote[560].end 5745.96846875
transcript.pyannote[561].speaker SPEAKER_11
transcript.pyannote[561].start 5745.96846875
transcript.pyannote[561].end 5749.63034375
transcript.pyannote[562].speaker SPEAKER_09
transcript.pyannote[562].start 5749.66409375
transcript.pyannote[562].end 5751.18284375
transcript.pyannote[563].speaker SPEAKER_09
transcript.pyannote[563].start 5751.82409375
transcript.pyannote[563].end 5754.77721875
transcript.pyannote[564].speaker SPEAKER_11
transcript.pyannote[564].start 5755.84034375
transcript.pyannote[564].end 5757.98346875
transcript.pyannote[565].speaker SPEAKER_09
transcript.pyannote[565].start 5758.45596875
transcript.pyannote[565].end 5762.11784375
transcript.pyannote[566].speaker SPEAKER_09
transcript.pyannote[566].start 5762.80971875
transcript.pyannote[566].end 5764.56471875
transcript.pyannote[567].speaker SPEAKER_11
transcript.pyannote[567].start 5765.08784375
transcript.pyannote[567].end 5766.04971875
transcript.pyannote[568].speaker SPEAKER_11
transcript.pyannote[568].start 5766.50534375
transcript.pyannote[568].end 5769.12096875
transcript.pyannote[569].speaker SPEAKER_09
transcript.pyannote[569].start 5770.47096875
transcript.pyannote[569].end 5772.66471875
transcript.pyannote[570].speaker SPEAKER_09
transcript.pyannote[570].start 5773.54221875
transcript.pyannote[570].end 5774.48721875
transcript.pyannote[571].speaker SPEAKER_09
transcript.pyannote[571].start 5775.76971875
transcript.pyannote[571].end 5777.33909375
transcript.pyannote[572].speaker SPEAKER_09
transcript.pyannote[572].start 5778.80721875
transcript.pyannote[572].end 5779.66784375
transcript.pyannote[573].speaker SPEAKER_11
transcript.pyannote[573].start 5781.27096875
transcript.pyannote[573].end 5781.84471875
transcript.pyannote[574].speaker SPEAKER_11
transcript.pyannote[574].start 5783.22846875
transcript.pyannote[574].end 5784.30846875
transcript.pyannote[575].speaker SPEAKER_09
transcript.pyannote[575].start 5786.31659375
transcript.pyannote[575].end 5789.70846875
transcript.pyannote[576].speaker SPEAKER_11
transcript.pyannote[576].start 5787.37971875
transcript.pyannote[576].end 5788.44284375
transcript.pyannote[577].speaker SPEAKER_11
transcript.pyannote[577].start 5789.11784375
transcript.pyannote[577].end 5790.73784375
transcript.pyannote[578].speaker SPEAKER_09
transcript.pyannote[578].start 5791.59846875
transcript.pyannote[578].end 5793.23534375
transcript.pyannote[579].speaker SPEAKER_11
transcript.pyannote[579].start 5793.23534375
transcript.pyannote[579].end 5796.98159375
transcript.pyannote[580].speaker SPEAKER_11
transcript.pyannote[580].start 5797.21784375
transcript.pyannote[580].end 5806.68471875
transcript.pyannote[581].speaker SPEAKER_09
transcript.pyannote[581].start 5799.22596875
transcript.pyannote[581].end 5799.74909375
transcript.pyannote[582].speaker SPEAKER_18
transcript.pyannote[582].start 5799.74909375
transcript.pyannote[582].end 5799.78284375
transcript.pyannote[583].speaker SPEAKER_19
transcript.pyannote[583].start 5799.78284375
transcript.pyannote[583].end 5799.79971875
transcript.pyannote[584].speaker SPEAKER_09
transcript.pyannote[584].start 5806.16159375
transcript.pyannote[584].end 5809.63784375
transcript.pyannote[585].speaker SPEAKER_11
transcript.pyannote[585].start 5808.33846875
transcript.pyannote[585].end 5809.18221875
transcript.pyannote[586].speaker SPEAKER_11
transcript.pyannote[586].start 5810.11034375
transcript.pyannote[586].end 5825.61846875
transcript.pyannote[587].speaker SPEAKER_09
transcript.pyannote[587].start 5810.16096875
transcript.pyannote[587].end 5813.26596875
transcript.pyannote[588].speaker SPEAKER_09
transcript.pyannote[588].start 5818.91909375
transcript.pyannote[588].end 5819.32409375
transcript.pyannote[589].speaker SPEAKER_09
transcript.pyannote[589].start 5821.19721875
transcript.pyannote[589].end 5821.75409375
transcript.pyannote[590].speaker SPEAKER_09
transcript.pyannote[590].start 5824.25159375
transcript.pyannote[590].end 5826.41159375
transcript.pyannote[591].speaker SPEAKER_11
transcript.pyannote[591].start 5825.85471875
transcript.pyannote[591].end 5826.31034375
transcript.pyannote[592].speaker SPEAKER_11
transcript.pyannote[592].start 5826.36096875
transcript.pyannote[592].end 5826.37784375
transcript.pyannote[593].speaker SPEAKER_11
transcript.pyannote[593].start 5826.39471875
transcript.pyannote[593].end 5830.52909375
transcript.pyannote[594].speaker SPEAKER_09
transcript.pyannote[594].start 5827.40721875
transcript.pyannote[594].end 5828.23409375
transcript.pyannote[595].speaker SPEAKER_09
transcript.pyannote[595].start 5830.52909375
transcript.pyannote[595].end 5832.21659375
transcript.pyannote[596].speaker SPEAKER_11
transcript.pyannote[596].start 5832.58784375
transcript.pyannote[596].end 5842.39221875
transcript.pyannote[597].speaker SPEAKER_09
transcript.pyannote[597].start 5836.26659375
transcript.pyannote[597].end 5836.90784375
transcript.pyannote[598].speaker SPEAKER_09
transcript.pyannote[598].start 5837.65034375
transcript.pyannote[598].end 5838.47721875
transcript.pyannote[599].speaker SPEAKER_09
transcript.pyannote[599].start 5840.36721875
transcript.pyannote[599].end 5841.16034375
transcript.pyannote[600].speaker SPEAKER_09
transcript.pyannote[600].start 5841.90284375
transcript.pyannote[600].end 5844.92346875
transcript.pyannote[601].speaker SPEAKER_09
transcript.pyannote[601].start 5845.36221875
transcript.pyannote[601].end 5845.59846875
transcript.pyannote[602].speaker SPEAKER_09
transcript.pyannote[602].start 5846.50971875
transcript.pyannote[602].end 5848.41659375
transcript.pyannote[603].speaker SPEAKER_09
transcript.pyannote[603].start 5849.68221875
transcript.pyannote[603].end 5851.40346875
transcript.pyannote[604].speaker SPEAKER_09
transcript.pyannote[604].start 5852.41596875
transcript.pyannote[604].end 5854.23846875
transcript.pyannote[605].speaker SPEAKER_09
transcript.pyannote[605].start 5856.48284375
transcript.pyannote[605].end 5857.22534375
transcript.pyannote[606].speaker SPEAKER_09
transcript.pyannote[606].start 5857.63034375
transcript.pyannote[606].end 5860.38096875
transcript.pyannote[607].speaker SPEAKER_09
transcript.pyannote[607].start 5861.47784375
transcript.pyannote[607].end 5863.40159375
transcript.pyannote[608].speaker SPEAKER_11
transcript.pyannote[608].start 5864.17784375
transcript.pyannote[608].end 5866.52346875
transcript.pyannote[609].speaker SPEAKER_04
transcript.pyannote[609].start 5866.50659375
transcript.pyannote[609].end 5874.89346875
transcript.pyannote[610].speaker SPEAKER_09
transcript.pyannote[610].start 5869.10534375
transcript.pyannote[610].end 5869.54409375
transcript.pyannote[611].speaker SPEAKER_09
transcript.pyannote[611].start 5871.58596875
transcript.pyannote[611].end 5872.02471875
transcript.pyannote[612].speaker SPEAKER_09
transcript.pyannote[612].start 5874.23534375
transcript.pyannote[612].end 5875.45034375
transcript.pyannote[613].speaker SPEAKER_04
transcript.pyannote[613].start 5875.65284375
transcript.pyannote[613].end 5877.03659375
transcript.pyannote[614].speaker SPEAKER_09
transcript.pyannote[614].start 5877.47534375
transcript.pyannote[614].end 5877.98159375
transcript.pyannote[615].speaker SPEAKER_04
transcript.pyannote[615].start 5877.98159375
transcript.pyannote[615].end 5878.40346875
transcript.pyannote[616].speaker SPEAKER_09
transcript.pyannote[616].start 5878.40346875
transcript.pyannote[616].end 5879.41596875
transcript.pyannote[617].speaker SPEAKER_09
transcript.pyannote[617].start 5879.71971875
transcript.pyannote[617].end 5881.42409375
transcript.pyannote[618].speaker SPEAKER_09
transcript.pyannote[618].start 5881.89659375
transcript.pyannote[618].end 5883.19596875
transcript.pyannote[619].speaker SPEAKER_09
transcript.pyannote[619].start 5883.76971875
transcript.pyannote[619].end 5885.84534375
transcript.pyannote[620].speaker SPEAKER_09
transcript.pyannote[620].start 5885.99721875
transcript.pyannote[620].end 5886.68909375
transcript.pyannote[621].speaker SPEAKER_09
transcript.pyannote[621].start 5887.24596875
transcript.pyannote[621].end 5887.93784375
transcript.pyannote[622].speaker SPEAKER_18
transcript.pyannote[622].start 5888.79846875
transcript.pyannote[622].end 5888.83221875
transcript.pyannote[623].speaker SPEAKER_09
transcript.pyannote[623].start 5888.83221875
transcript.pyannote[623].end 5892.12284375
transcript.pyannote[624].speaker SPEAKER_04
transcript.pyannote[624].start 5892.27471875
transcript.pyannote[624].end 5904.28971875
transcript.pyannote[625].speaker SPEAKER_09
transcript.pyannote[625].start 5892.46034375
transcript.pyannote[625].end 5892.52784375
transcript.pyannote[626].speaker SPEAKER_09
transcript.pyannote[626].start 5903.46284375
transcript.pyannote[626].end 5903.83409375
transcript.pyannote[627].speaker SPEAKER_09
transcript.pyannote[627].start 5904.76221875
transcript.pyannote[627].end 5912.13659375
transcript.pyannote[628].speaker SPEAKER_09
transcript.pyannote[628].start 5912.45721875
transcript.pyannote[628].end 5925.23159375
transcript.pyannote[629].speaker SPEAKER_11
transcript.pyannote[629].start 5926.07534375
transcript.pyannote[629].end 5928.20159375
transcript.pyannote[630].speaker SPEAKER_11
transcript.pyannote[630].start 5928.72471875
transcript.pyannote[630].end 5935.03596875
transcript.pyannote[631].speaker SPEAKER_09
transcript.pyannote[631].start 5934.90096875
transcript.pyannote[631].end 5941.49909375
transcript.pyannote[632].speaker SPEAKER_09
transcript.pyannote[632].start 5941.60034375
transcript.pyannote[632].end 5944.67159375
transcript.pyannote[633].speaker SPEAKER_09
transcript.pyannote[633].start 5945.00909375
transcript.pyannote[633].end 5946.73034375
transcript.pyannote[634].speaker SPEAKER_09
transcript.pyannote[634].start 5946.89909375
transcript.pyannote[634].end 5959.84221875
transcript.pyannote[635].speaker SPEAKER_09
transcript.pyannote[635].start 5960.63534375
transcript.pyannote[635].end 5968.43159375
transcript.pyannote[636].speaker SPEAKER_11
transcript.pyannote[636].start 5968.85346875
transcript.pyannote[636].end 6016.00221875
transcript.pyannote[637].speaker SPEAKER_09
transcript.pyannote[637].start 6013.65659375
transcript.pyannote[637].end 6015.54659375
transcript.pyannote[638].speaker SPEAKER_09
transcript.pyannote[638].start 6016.00221875
transcript.pyannote[638].end 6016.76159375
transcript.pyannote[639].speaker SPEAKER_09
transcript.pyannote[639].start 6017.47034375
transcript.pyannote[639].end 6020.23784375
transcript.pyannote[640].speaker SPEAKER_09
transcript.pyannote[640].start 6021.94221875
transcript.pyannote[640].end 6023.86596875
transcript.pyannote[641].speaker SPEAKER_11
transcript.pyannote[641].start 6025.72221875
transcript.pyannote[641].end 6031.03784375
transcript.pyannote[642].speaker SPEAKER_09
transcript.pyannote[642].start 6028.08471875
transcript.pyannote[642].end 6028.62471875
transcript.pyannote[643].speaker SPEAKER_09
transcript.pyannote[643].start 6031.22346875
transcript.pyannote[643].end 6036.75846875
transcript.pyannote[644].speaker SPEAKER_11
transcript.pyannote[644].start 6031.27409375
transcript.pyannote[644].end 6031.32471875
transcript.pyannote[645].speaker SPEAKER_11
transcript.pyannote[645].start 6031.39221875
transcript.pyannote[645].end 6031.59471875
transcript.pyannote[646].speaker SPEAKER_09
transcript.pyannote[646].start 6036.94409375
transcript.pyannote[646].end 6039.82971875
transcript.pyannote[647].speaker SPEAKER_09
transcript.pyannote[647].start 6040.20096875
transcript.pyannote[647].end 6048.99284375
transcript.pyannote[648].speaker SPEAKER_09
transcript.pyannote[648].start 6049.31346875
transcript.pyannote[648].end 6053.54909375
transcript.pyannote[649].speaker SPEAKER_09
transcript.pyannote[649].start 6053.85284375
transcript.pyannote[649].end 6056.29971875
transcript.pyannote[650].speaker SPEAKER_09
transcript.pyannote[650].start 6056.80596875
transcript.pyannote[650].end 6061.90221875
transcript.pyannote[651].speaker SPEAKER_09
transcript.pyannote[651].start 6063.01596875
transcript.pyannote[651].end 6065.05784375
transcript.pyannote[652].speaker SPEAKER_09
transcript.pyannote[652].start 6065.47971875
transcript.pyannote[652].end 6068.11221875
transcript.pyannote[653].speaker SPEAKER_09
transcript.pyannote[653].start 6068.50034375
transcript.pyannote[653].end 6070.79534375
transcript.pyannote[654].speaker SPEAKER_09
transcript.pyannote[654].start 6071.18346875
transcript.pyannote[654].end 6072.33096875
transcript.pyannote[655].speaker SPEAKER_09
transcript.pyannote[655].start 6072.49971875
transcript.pyannote[655].end 6079.14846875
transcript.pyannote[656].speaker SPEAKER_11
transcript.pyannote[656].start 6081.13971875
transcript.pyannote[656].end 6091.46721875
transcript.pyannote[657].speaker SPEAKER_09
transcript.pyannote[657].start 6085.74659375
transcript.pyannote[657].end 6085.89846875
transcript.pyannote[658].speaker SPEAKER_09
transcript.pyannote[658].start 6090.31971875
transcript.pyannote[658].end 6102.53721875
transcript.pyannote[659].speaker SPEAKER_09
transcript.pyannote[659].start 6102.67221875
transcript.pyannote[659].end 6104.66346875
transcript.pyannote[660].speaker SPEAKER_09
transcript.pyannote[660].start 6105.35534375
transcript.pyannote[660].end 6117.45471875
transcript.pyannote[661].speaker SPEAKER_11
transcript.pyannote[661].start 6107.43096875
transcript.pyannote[661].end 6107.58284375
transcript.pyannote[662].speaker SPEAKER_11
transcript.pyannote[662].start 6107.93721875
transcript.pyannote[662].end 6109.70909375
transcript.pyannote[663].speaker SPEAKER_00
transcript.pyannote[663].start 6109.70909375
transcript.pyannote[663].end 6110.35034375
transcript.pyannote[664].speaker SPEAKER_00
transcript.pyannote[664].start 6111.17721875
transcript.pyannote[664].end 6112.07159375
transcript.pyannote[665].speaker SPEAKER_09
transcript.pyannote[665].start 6117.82596875
transcript.pyannote[665].end 6123.02346875
transcript.pyannote[666].speaker SPEAKER_11
transcript.pyannote[666].start 6122.68596875
transcript.pyannote[666].end 6125.31846875
transcript.pyannote[667].speaker SPEAKER_09
transcript.pyannote[667].start 6124.47471875
transcript.pyannote[667].end 6129.33471875
transcript.pyannote[668].speaker SPEAKER_11
transcript.pyannote[668].start 6125.57159375
transcript.pyannote[668].end 6125.62221875
transcript.pyannote[669].speaker SPEAKER_09
transcript.pyannote[669].start 6129.36846875
transcript.pyannote[669].end 6130.17846875
transcript.pyannote[670].speaker SPEAKER_11
transcript.pyannote[670].start 6130.36409375
transcript.pyannote[670].end 6130.97159375
transcript.pyannote[671].speaker SPEAKER_09
transcript.pyannote[671].start 6130.93784375
transcript.pyannote[671].end 6134.90346875
transcript.pyannote[672].speaker SPEAKER_18
transcript.pyannote[672].start 6130.97159375
transcript.pyannote[672].end 6130.98846875
transcript.pyannote[673].speaker SPEAKER_13
transcript.pyannote[673].start 6130.98846875
transcript.pyannote[673].end 6131.44409375
transcript.pyannote[674].speaker SPEAKER_18
transcript.pyannote[674].start 6134.90346875
transcript.pyannote[674].end 6134.93721875
transcript.pyannote[675].speaker SPEAKER_18
transcript.pyannote[675].start 6134.98784375
transcript.pyannote[675].end 6135.00471875
transcript.pyannote[676].speaker SPEAKER_13
transcript.pyannote[676].start 6135.00471875
transcript.pyannote[676].end 6135.03846875
transcript.pyannote[677].speaker SPEAKER_18
transcript.pyannote[677].start 6135.03846875
transcript.pyannote[677].end 6135.89909375
transcript.pyannote[678].speaker SPEAKER_13
transcript.pyannote[678].start 6136.92846875
transcript.pyannote[678].end 6142.21034375
transcript.pyannote[679].speaker SPEAKER_15
transcript.pyannote[679].start 6150.79971875
transcript.pyannote[679].end 6152.60534375
transcript.pyannote[680].speaker SPEAKER_13
transcript.pyannote[680].start 6152.79096875
transcript.pyannote[680].end 6153.66846875
transcript.pyannote[681].speaker SPEAKER_15
transcript.pyannote[681].start 6159.89534375
transcript.pyannote[681].end 6160.18221875
transcript.pyannote[682].speaker SPEAKER_10
transcript.pyannote[682].start 6160.18221875
transcript.pyannote[682].end 6160.23284375
transcript.pyannote[683].speaker SPEAKER_15
transcript.pyannote[683].start 6160.23284375
transcript.pyannote[683].end 6160.46909375
transcript.pyannote[684].speaker SPEAKER_10
transcript.pyannote[684].start 6160.46909375
transcript.pyannote[684].end 6160.50284375
transcript.pyannote[685].speaker SPEAKER_15
transcript.pyannote[685].start 6160.82346875
transcript.pyannote[685].end 6238.78596875
transcript.pyannote[686].speaker SPEAKER_11
transcript.pyannote[686].start 6241.33409375
transcript.pyannote[686].end 6252.35346875
transcript.pyannote[687].speaker SPEAKER_11
transcript.pyannote[687].start 6252.82596875
transcript.pyannote[687].end 6277.98659375
transcript.pyannote[688].speaker SPEAKER_15
transcript.pyannote[688].start 6254.74971875
transcript.pyannote[688].end 6254.88471875
transcript.pyannote[689].speaker SPEAKER_15
transcript.pyannote[689].start 6270.13971875
transcript.pyannote[689].end 6271.10159375
transcript.pyannote[690].speaker SPEAKER_11
transcript.pyannote[690].start 6278.45909375
transcript.pyannote[690].end 6286.10346875
transcript.pyannote[691].speaker SPEAKER_15
transcript.pyannote[691].start 6283.87596875
transcript.pyannote[691].end 6292.41471875
transcript.pyannote[692].speaker SPEAKER_11
transcript.pyannote[692].start 6293.03909375
transcript.pyannote[692].end 6296.38034375
transcript.pyannote[693].speaker SPEAKER_15
transcript.pyannote[693].start 6295.01346875
transcript.pyannote[693].end 6342.46596875
transcript.pyannote[694].speaker SPEAKER_00
transcript.pyannote[694].start 6312.19221875
transcript.pyannote[694].end 6312.49596875
transcript.pyannote[695].speaker SPEAKER_11
transcript.pyannote[695].start 6343.69784375
transcript.pyannote[695].end 6355.99971875
transcript.pyannote[696].speaker SPEAKER_15
transcript.pyannote[696].start 6355.05471875
transcript.pyannote[696].end 6355.10534375
transcript.pyannote[697].speaker SPEAKER_19
transcript.pyannote[697].start 6355.10534375
transcript.pyannote[697].end 6355.12221875
transcript.pyannote[698].speaker SPEAKER_15
transcript.pyannote[698].start 6355.12221875
transcript.pyannote[698].end 6357.82221875
transcript.pyannote[699].speaker SPEAKER_11
transcript.pyannote[699].start 6356.60721875
transcript.pyannote[699].end 6369.07784375
transcript.pyannote[700].speaker SPEAKER_15
transcript.pyannote[700].start 6362.71596875
transcript.pyannote[700].end 6363.30659375
transcript.pyannote[701].speaker SPEAKER_15
transcript.pyannote[701].start 6366.52971875
transcript.pyannote[701].end 6417.01971875
transcript.pyannote[702].speaker SPEAKER_11
transcript.pyannote[702].start 6417.59346875
transcript.pyannote[702].end 6432.66284375
transcript.pyannote[703].speaker SPEAKER_15
transcript.pyannote[703].start 6432.05534375
transcript.pyannote[703].end 6435.32909375
transcript.pyannote[704].speaker SPEAKER_11
transcript.pyannote[704].start 6433.10159375
transcript.pyannote[704].end 6434.02971875
transcript.pyannote[705].speaker SPEAKER_11
transcript.pyannote[705].start 6434.06346875
transcript.pyannote[705].end 6442.21409375
transcript.pyannote[706].speaker SPEAKER_15
transcript.pyannote[706].start 6441.43784375
transcript.pyannote[706].end 6443.17596875
transcript.pyannote[707].speaker SPEAKER_15
transcript.pyannote[707].start 6443.68221875
transcript.pyannote[707].end 6444.64409375
transcript.pyannote[708].speaker SPEAKER_11
transcript.pyannote[708].start 6443.71596875
transcript.pyannote[708].end 6444.35721875
transcript.pyannote[709].speaker SPEAKER_11
transcript.pyannote[709].start 6444.79596875
transcript.pyannote[709].end 6449.23409375
transcript.pyannote[710].speaker SPEAKER_11
transcript.pyannote[710].start 6449.35221875
transcript.pyannote[710].end 6450.58409375
transcript.pyannote[711].speaker SPEAKER_15
transcript.pyannote[711].start 6450.07784375
transcript.pyannote[711].end 6450.43221875
transcript.pyannote[712].speaker SPEAKER_15
transcript.pyannote[712].start 6450.58409375
transcript.pyannote[712].end 6450.97221875
transcript.pyannote[713].speaker SPEAKER_11
transcript.pyannote[713].start 6450.97221875
transcript.pyannote[713].end 6456.03471875
transcript.pyannote[714].speaker SPEAKER_15
transcript.pyannote[714].start 6456.03471875
transcript.pyannote[714].end 6456.96284375
transcript.pyannote[715].speaker SPEAKER_11
transcript.pyannote[715].start 6456.96284375
transcript.pyannote[715].end 6457.03034375
transcript.pyannote[716].speaker SPEAKER_15
transcript.pyannote[716].start 6457.03034375
transcript.pyannote[716].end 6457.97534375
transcript.pyannote[717].speaker SPEAKER_11
transcript.pyannote[717].start 6457.97534375
transcript.pyannote[717].end 6458.02596875
transcript.pyannote[718].speaker SPEAKER_15
transcript.pyannote[718].start 6458.02596875
transcript.pyannote[718].end 6458.97096875
transcript.pyannote[719].speaker SPEAKER_11
transcript.pyannote[719].start 6458.97096875
transcript.pyannote[719].end 6459.03846875
transcript.pyannote[720].speaker SPEAKER_15
transcript.pyannote[720].start 6459.03846875
transcript.pyannote[720].end 6507.03096875
transcript.pyannote[721].speaker SPEAKER_11
transcript.pyannote[721].start 6509.25846875
transcript.pyannote[721].end 6523.28159375
transcript.pyannote[722].speaker SPEAKER_15
transcript.pyannote[722].start 6522.64034375
transcript.pyannote[722].end 6542.41784375
transcript.pyannote[723].speaker SPEAKER_11
transcript.pyannote[723].start 6543.63284375
transcript.pyannote[723].end 6549.64034375
transcript.pyannote[724].speaker SPEAKER_15
transcript.pyannote[724].start 6548.96534375
transcript.pyannote[724].end 6549.25221875
transcript.pyannote[725].speaker SPEAKER_15
transcript.pyannote[725].start 6549.64034375
transcript.pyannote[725].end 6560.50784375
transcript.pyannote[726].speaker SPEAKER_11
transcript.pyannote[726].start 6549.92721875
transcript.pyannote[726].end 6551.42909375
transcript.pyannote[727].speaker SPEAKER_11
transcript.pyannote[727].start 6559.25909375
transcript.pyannote[727].end 6571.64534375
transcript.pyannote[728].speaker SPEAKER_15
transcript.pyannote[728].start 6568.32096875
transcript.pyannote[728].end 6569.43471875
transcript.pyannote[729].speaker SPEAKER_15
transcript.pyannote[729].start 6570.10971875
transcript.pyannote[729].end 6576.37034375
transcript.pyannote[730].speaker SPEAKER_11
transcript.pyannote[730].start 6571.96596875
transcript.pyannote[730].end 6572.67471875
transcript.pyannote[731].speaker SPEAKER_15
transcript.pyannote[731].start 6577.46721875
transcript.pyannote[731].end 6600.72096875
transcript.pyannote[732].speaker SPEAKER_11
transcript.pyannote[732].start 6601.51409375
transcript.pyannote[732].end 6622.38846875
transcript.pyannote[733].speaker SPEAKER_15
transcript.pyannote[733].start 6617.14034375
transcript.pyannote[733].end 6620.36346875
transcript.pyannote[734].speaker SPEAKER_11
transcript.pyannote[734].start 6622.65846875
transcript.pyannote[734].end 6631.73721875
transcript.pyannote[735].speaker SPEAKER_15
transcript.pyannote[735].start 6622.67534375
transcript.pyannote[735].end 6623.94096875
transcript.pyannote[736].speaker SPEAKER_21
transcript.pyannote[736].start 6626.47221875
transcript.pyannote[736].end 6626.52284375
transcript.pyannote[737].speaker SPEAKER_15
transcript.pyannote[737].start 6628.80096875
transcript.pyannote[737].end 6631.07909375
transcript.pyannote[738].speaker SPEAKER_15
transcript.pyannote[738].start 6631.73721875
transcript.pyannote[738].end 6635.26409375
transcript.pyannote[739].speaker SPEAKER_11
transcript.pyannote[739].start 6632.24346875
transcript.pyannote[739].end 6641.25471875
transcript.pyannote[740].speaker SPEAKER_15
transcript.pyannote[740].start 6639.29721875
transcript.pyannote[740].end 6644.88284375
transcript.pyannote[741].speaker SPEAKER_11
transcript.pyannote[741].start 6644.88284375
transcript.pyannote[741].end 6651.86909375
transcript.pyannote[742].speaker SPEAKER_15
transcript.pyannote[742].start 6651.86909375
transcript.pyannote[742].end 6667.32659375
transcript.pyannote[743].speaker SPEAKER_11
transcript.pyannote[743].start 6652.34159375
transcript.pyannote[743].end 6653.99534375
transcript.pyannote[744].speaker SPEAKER_11
transcript.pyannote[744].start 6663.34409375
transcript.pyannote[744].end 6675.81471875
transcript.pyannote[745].speaker SPEAKER_15
transcript.pyannote[745].start 6675.30846875
transcript.pyannote[745].end 6735.87284375
transcript.pyannote[746].speaker SPEAKER_04
transcript.pyannote[746].start 6736.58159375
transcript.pyannote[746].end 6749.72721875
transcript.pyannote[747].speaker SPEAKER_15
transcript.pyannote[747].start 6749.71034375
transcript.pyannote[747].end 6755.92034375
transcript.pyannote[748].speaker SPEAKER_04
transcript.pyannote[748].start 6755.92034375
transcript.pyannote[748].end 6756.24096875
transcript.pyannote[749].speaker SPEAKER_15
transcript.pyannote[749].start 6756.24096875
transcript.pyannote[749].end 6756.27471875
transcript.pyannote[750].speaker SPEAKER_15
transcript.pyannote[750].start 6756.61221875
transcript.pyannote[750].end 6757.11846875
transcript.pyannote[751].speaker SPEAKER_04
transcript.pyannote[751].start 6757.11846875
transcript.pyannote[751].end 6757.37159375
transcript.pyannote[752].speaker SPEAKER_15
transcript.pyannote[752].start 6757.37159375
transcript.pyannote[752].end 6763.86846875
transcript.pyannote[753].speaker SPEAKER_04
transcript.pyannote[753].start 6757.86096875
transcript.pyannote[753].end 6757.89471875
transcript.pyannote[754].speaker SPEAKER_04
transcript.pyannote[754].start 6760.00409375
transcript.pyannote[754].end 6760.18971875
transcript.pyannote[755].speaker SPEAKER_04
transcript.pyannote[755].start 6762.26534375
transcript.pyannote[755].end 6764.03721875
transcript.pyannote[756].speaker SPEAKER_15
transcript.pyannote[756].start 6764.23971875
transcript.pyannote[756].end 6794.53034375
transcript.pyannote[757].speaker SPEAKER_04
transcript.pyannote[757].start 6764.35784375
transcript.pyannote[757].end 6764.54346875
transcript.pyannote[758].speaker SPEAKER_04
transcript.pyannote[758].start 6765.96096875
transcript.pyannote[758].end 6767.53034375
transcript.pyannote[759].speaker SPEAKER_04
transcript.pyannote[759].start 6794.81721875
transcript.pyannote[759].end 6820.02846875
transcript.pyannote[760].speaker SPEAKER_15
transcript.pyannote[760].start 6800.43659375
transcript.pyannote[760].end 6800.92596875
transcript.pyannote[761].speaker SPEAKER_15
transcript.pyannote[761].start 6808.03034375
transcript.pyannote[761].end 6808.19909375
transcript.pyannote[762].speaker SPEAKER_15
transcript.pyannote[762].start 6808.23284375
transcript.pyannote[762].end 6808.28346875
transcript.pyannote[763].speaker SPEAKER_15
transcript.pyannote[763].start 6808.51971875
transcript.pyannote[763].end 6808.78971875
transcript.pyannote[764].speaker SPEAKER_15
transcript.pyannote[764].start 6819.72471875
transcript.pyannote[764].end 6869.25284375
transcript.pyannote[765].speaker SPEAKER_11
transcript.pyannote[765].start 6870.24846875
transcript.pyannote[765].end 6886.04346875
transcript.pyannote[766].speaker SPEAKER_15
transcript.pyannote[766].start 6885.75659375
transcript.pyannote[766].end 6886.97159375
transcript.pyannote[767].speaker SPEAKER_11
transcript.pyannote[767].start 6886.97159375
transcript.pyannote[767].end 6893.11409375
transcript.pyannote[768].speaker SPEAKER_15
transcript.pyannote[768].start 6890.38034375
transcript.pyannote[768].end 6890.73471875
transcript.pyannote[769].speaker SPEAKER_15
transcript.pyannote[769].start 6891.69659375
transcript.pyannote[769].end 6891.71346875
transcript.pyannote[770].speaker SPEAKER_11
transcript.pyannote[770].start 6893.45159375
transcript.pyannote[770].end 6904.31909375
transcript.pyannote[771].speaker SPEAKER_15
transcript.pyannote[771].start 6902.20971875
transcript.pyannote[771].end 6912.58784375
transcript.pyannote[772].speaker SPEAKER_13
transcript.pyannote[772].start 6911.00159375
transcript.pyannote[772].end 6912.23346875
transcript.pyannote[773].speaker SPEAKER_11
transcript.pyannote[773].start 6912.23346875
transcript.pyannote[773].end 6912.26721875
transcript.pyannote[774].speaker SPEAKER_11
transcript.pyannote[774].start 6912.58784375
transcript.pyannote[774].end 6912.60471875
transcript.pyannote[775].speaker SPEAKER_15
transcript.pyannote[775].start 6912.60471875
transcript.pyannote[775].end 6912.62159375
transcript.pyannote[776].speaker SPEAKER_11
transcript.pyannote[776].start 6912.62159375
transcript.pyannote[776].end 6912.65534375
transcript.pyannote[777].speaker SPEAKER_15
transcript.pyannote[777].start 6912.65534375
transcript.pyannote[777].end 6912.79034375
transcript.pyannote[778].speaker SPEAKER_11
transcript.pyannote[778].start 6912.79034375
transcript.pyannote[778].end 6912.94221875
transcript.pyannote[779].speaker SPEAKER_11
transcript.pyannote[779].start 6912.95909375
transcript.pyannote[779].end 6912.97596875
transcript.pyannote[780].speaker SPEAKER_13
transcript.pyannote[780].start 6914.03909375
transcript.pyannote[780].end 6922.32471875
transcript.pyannote[781].speaker SPEAKER_02
transcript.pyannote[781].start 6937.07346875
transcript.pyannote[781].end 6937.98471875
transcript.pyannote[782].speaker SPEAKER_02
transcript.pyannote[782].start 6938.25471875
transcript.pyannote[782].end 6940.07721875
transcript.pyannote[783].speaker SPEAKER_13
transcript.pyannote[783].start 6940.41471875
transcript.pyannote[783].end 6941.14034375
transcript.pyannote[784].speaker SPEAKER_02
transcript.pyannote[784].start 6941.49471875
transcript.pyannote[784].end 6942.22034375
transcript.pyannote[785].speaker SPEAKER_02
transcript.pyannote[785].start 6942.50721875
transcript.pyannote[785].end 6943.55346875
transcript.pyannote[786].speaker SPEAKER_02
transcript.pyannote[786].start 6943.99221875
transcript.pyannote[786].end 6945.56159375
transcript.pyannote[787].speaker SPEAKER_02
transcript.pyannote[787].start 6945.73034375
transcript.pyannote[787].end 6946.40534375
transcript.pyannote[788].speaker SPEAKER_13
transcript.pyannote[788].start 6946.75971875
transcript.pyannote[788].end 6947.67096875
transcript.pyannote[789].speaker SPEAKER_02
transcript.pyannote[789].start 6949.76346875
transcript.pyannote[789].end 6950.16846875
transcript.pyannote[790].speaker SPEAKER_02
transcript.pyannote[790].start 6951.14721875
transcript.pyannote[790].end 6951.51846875
transcript.pyannote[791].speaker SPEAKER_02
transcript.pyannote[791].start 6952.49721875
transcript.pyannote[791].end 6953.40846875
transcript.pyannote[792].speaker SPEAKER_02
transcript.pyannote[792].start 6953.91471875
transcript.pyannote[792].end 6955.06221875
transcript.pyannote[793].speaker SPEAKER_02
transcript.pyannote[793].start 6955.23096875
transcript.pyannote[793].end 6956.14221875
transcript.pyannote[794].speaker SPEAKER_02
transcript.pyannote[794].start 6957.00284375
transcript.pyannote[794].end 6962.14971875
transcript.pyannote[795].speaker SPEAKER_02
transcript.pyannote[795].start 6962.79096875
transcript.pyannote[795].end 6978.97409375
transcript.pyannote[796].speaker SPEAKER_02
transcript.pyannote[796].start 6979.83471875
transcript.pyannote[796].end 6984.01971875
transcript.pyannote[797].speaker SPEAKER_02
transcript.pyannote[797].start 6984.54284375
transcript.pyannote[797].end 6985.01534375
transcript.pyannote[798].speaker SPEAKER_02
transcript.pyannote[798].start 6985.80846875
transcript.pyannote[798].end 6986.83784375
transcript.pyannote[799].speaker SPEAKER_02
transcript.pyannote[799].start 6987.93471875
transcript.pyannote[799].end 6988.44096875
transcript.pyannote[800].speaker SPEAKER_02
transcript.pyannote[800].start 6988.91346875
transcript.pyannote[800].end 6991.15784375
transcript.pyannote[801].speaker SPEAKER_02
transcript.pyannote[801].start 6991.88346875
transcript.pyannote[801].end 6996.77721875
transcript.pyannote[802].speaker SPEAKER_02
transcript.pyannote[802].start 6997.06409375
transcript.pyannote[802].end 6998.05971875
transcript.pyannote[803].speaker SPEAKER_02
transcript.pyannote[803].start 6998.66721875
transcript.pyannote[803].end 7001.40096875
transcript.pyannote[804].speaker SPEAKER_02
transcript.pyannote[804].start 7002.37971875
transcript.pyannote[804].end 7005.88971875
transcript.pyannote[805].speaker SPEAKER_02
transcript.pyannote[805].start 7006.34534375
transcript.pyannote[805].end 7006.75034375
transcript.pyannote[806].speaker SPEAKER_02
transcript.pyannote[806].start 7006.98659375
transcript.pyannote[806].end 7007.62784375
transcript.pyannote[807].speaker SPEAKER_02
transcript.pyannote[807].start 7007.99909375
transcript.pyannote[807].end 7009.01159375
transcript.pyannote[808].speaker SPEAKER_02
transcript.pyannote[808].start 7009.50096875
transcript.pyannote[808].end 7010.14221875
transcript.pyannote[809].speaker SPEAKER_02
transcript.pyannote[809].start 7010.41221875
transcript.pyannote[809].end 7011.50909375
transcript.pyannote[810].speaker SPEAKER_02
transcript.pyannote[810].start 7011.81284375
transcript.pyannote[810].end 7012.40346875
transcript.pyannote[811].speaker SPEAKER_02
transcript.pyannote[811].start 7012.90971875
transcript.pyannote[811].end 7013.34846875
transcript.pyannote[812].speaker SPEAKER_02
transcript.pyannote[812].start 7014.29346875
transcript.pyannote[812].end 7014.61409375
transcript.pyannote[813].speaker SPEAKER_02
transcript.pyannote[813].start 7014.79971875
transcript.pyannote[813].end 7016.67284375
transcript.pyannote[814].speaker SPEAKER_02
transcript.pyannote[814].start 7017.01034375
transcript.pyannote[814].end 7019.18721875
transcript.pyannote[815].speaker SPEAKER_02
transcript.pyannote[815].start 7019.72721875
transcript.pyannote[815].end 7022.47784375
transcript.pyannote[816].speaker SPEAKER_02
transcript.pyannote[816].start 7023.20346875
transcript.pyannote[816].end 7024.36784375
transcript.pyannote[817].speaker SPEAKER_02
transcript.pyannote[817].start 7024.99221875
transcript.pyannote[817].end 7025.90346875
transcript.pyannote[818].speaker SPEAKER_02
transcript.pyannote[818].start 7026.19034375
transcript.pyannote[818].end 7027.67534375
transcript.pyannote[819].speaker SPEAKER_02
transcript.pyannote[819].start 7028.60346875
transcript.pyannote[819].end 7028.99159375
transcript.pyannote[820].speaker SPEAKER_02
transcript.pyannote[820].start 7029.22784375
transcript.pyannote[820].end 7030.47659375
transcript.pyannote[821].speaker SPEAKER_02
transcript.pyannote[821].start 7030.76346875
transcript.pyannote[821].end 7037.15909375
transcript.pyannote[822].speaker SPEAKER_02
transcript.pyannote[822].start 7037.42909375
transcript.pyannote[822].end 7038.52596875
transcript.pyannote[823].speaker SPEAKER_02
transcript.pyannote[823].start 7039.21784375
transcript.pyannote[823].end 7054.62471875
transcript.pyannote[824].speaker SPEAKER_02
transcript.pyannote[824].start 7054.77659375
transcript.pyannote[824].end 7055.65409375
transcript.pyannote[825].speaker SPEAKER_02
transcript.pyannote[825].start 7055.92409375
transcript.pyannote[825].end 7056.88596875
transcript.pyannote[826].speaker SPEAKER_02
transcript.pyannote[826].start 7057.25721875
transcript.pyannote[826].end 7059.87284375
transcript.pyannote[827].speaker SPEAKER_02
transcript.pyannote[827].start 7060.32846875
transcript.pyannote[827].end 7060.98659375
transcript.pyannote[828].speaker SPEAKER_02
transcript.pyannote[828].start 7061.40846875
transcript.pyannote[828].end 7064.44596875
transcript.pyannote[829].speaker SPEAKER_02
transcript.pyannote[829].start 7064.73284375
transcript.pyannote[829].end 7066.33596875
transcript.pyannote[830].speaker SPEAKER_02
transcript.pyannote[830].start 7067.06159375
transcript.pyannote[830].end 7068.24284375
transcript.pyannote[831].speaker SPEAKER_02
transcript.pyannote[831].start 7068.91784375
transcript.pyannote[831].end 7069.74471875
transcript.pyannote[832].speaker SPEAKER_02
transcript.pyannote[832].start 7069.81221875
transcript.pyannote[832].end 7070.97659375
transcript.pyannote[833].speaker SPEAKER_02
transcript.pyannote[833].start 7071.36471875
transcript.pyannote[833].end 7073.42346875
transcript.pyannote[834].speaker SPEAKER_02
transcript.pyannote[834].start 7074.87471875
transcript.pyannote[834].end 7076.32596875
transcript.pyannote[835].speaker SPEAKER_02
transcript.pyannote[835].start 7076.95034375
transcript.pyannote[835].end 7080.73034375
transcript.pyannote[836].speaker SPEAKER_02
transcript.pyannote[836].start 7080.98346875
transcript.pyannote[836].end 7083.17721875
transcript.pyannote[837].speaker SPEAKER_02
transcript.pyannote[837].start 7083.81846875
transcript.pyannote[837].end 7090.12971875
transcript.pyannote[838].speaker SPEAKER_02
transcript.pyannote[838].start 7090.55159375
transcript.pyannote[838].end 7092.18846875
transcript.pyannote[839].speaker SPEAKER_02
transcript.pyannote[839].start 7092.67784375
transcript.pyannote[839].end 7095.09096875
transcript.pyannote[840].speaker SPEAKER_02
transcript.pyannote[840].start 7095.34409375
transcript.pyannote[840].end 7096.79534375
transcript.pyannote[841].speaker SPEAKER_02
transcript.pyannote[841].start 7097.89221875
transcript.pyannote[841].end 7101.46971875
transcript.pyannote[842].speaker SPEAKER_02
transcript.pyannote[842].start 7101.97596875
transcript.pyannote[842].end 7103.32596875
transcript.pyannote[843].speaker SPEAKER_02
transcript.pyannote[843].start 7104.30471875
transcript.pyannote[843].end 7104.77721875
transcript.pyannote[844].speaker SPEAKER_02
transcript.pyannote[844].start 7105.55346875
transcript.pyannote[844].end 7111.83096875
transcript.pyannote[845].speaker SPEAKER_02
transcript.pyannote[845].start 7112.32034375
transcript.pyannote[845].end 7127.77784375
transcript.pyannote[846].speaker SPEAKER_02
transcript.pyannote[846].start 7128.16596875
transcript.pyannote[846].end 7138.03784375
transcript.pyannote[847].speaker SPEAKER_02
transcript.pyannote[847].start 7138.78034375
transcript.pyannote[847].end 7147.50471875
transcript.pyannote[848].speaker SPEAKER_02
transcript.pyannote[848].start 7148.02784375
transcript.pyannote[848].end 7149.46221875
transcript.pyannote[849].speaker SPEAKER_02
transcript.pyannote[849].start 7149.88409375
transcript.pyannote[849].end 7151.87534375
transcript.pyannote[850].speaker SPEAKER_02
transcript.pyannote[850].start 7152.22971875
transcript.pyannote[850].end 7159.23284375
transcript.pyannote[851].speaker SPEAKER_16
transcript.pyannote[851].start 7160.73471875
transcript.pyannote[851].end 7160.75159375
transcript.pyannote[852].speaker SPEAKER_16
transcript.pyannote[852].start 7160.76846875
transcript.pyannote[852].end 7207.30971875
transcript.pyannote[853].speaker SPEAKER_02
transcript.pyannote[853].start 7206.71909375
transcript.pyannote[853].end 7219.61159375
transcript.pyannote[854].speaker SPEAKER_02
transcript.pyannote[854].start 7220.96159375
transcript.pyannote[854].end 7226.04096875
transcript.pyannote[855].speaker SPEAKER_02
transcript.pyannote[855].start 7226.05784375
transcript.pyannote[855].end 7235.91284375
transcript.pyannote[856].speaker SPEAKER_02
transcript.pyannote[856].start 7237.27971875
transcript.pyannote[856].end 7237.60034375
transcript.pyannote[857].speaker SPEAKER_02
transcript.pyannote[857].start 7238.14034375
transcript.pyannote[857].end 7240.63784375
transcript.pyannote[858].speaker SPEAKER_02
transcript.pyannote[858].start 7241.39721875
transcript.pyannote[858].end 7243.62471875
transcript.pyannote[859].speaker SPEAKER_02
transcript.pyannote[859].start 7244.19846875
transcript.pyannote[859].end 7246.34159375
transcript.pyannote[860].speaker SPEAKER_02
transcript.pyannote[860].start 7246.76346875
transcript.pyannote[860].end 7250.88096875
transcript.pyannote[861].speaker SPEAKER_02
transcript.pyannote[861].start 7251.37034375
transcript.pyannote[861].end 7253.05784375
transcript.pyannote[862].speaker SPEAKER_02
transcript.pyannote[862].start 7254.15471875
transcript.pyannote[862].end 7259.67284375
transcript.pyannote[863].speaker SPEAKER_02
transcript.pyannote[863].start 7260.21284375
transcript.pyannote[863].end 7272.05909375
transcript.pyannote[864].speaker SPEAKER_02
transcript.pyannote[864].start 7272.37971875
transcript.pyannote[864].end 7273.69596875
transcript.pyannote[865].speaker SPEAKER_02
transcript.pyannote[865].start 7273.83096875
transcript.pyannote[865].end 7274.59034375
transcript.pyannote[866].speaker SPEAKER_02
transcript.pyannote[866].start 7274.67471875
transcript.pyannote[866].end 7275.67034375
transcript.pyannote[867].speaker SPEAKER_02
transcript.pyannote[867].start 7276.93596875
transcript.pyannote[867].end 7277.32409375
transcript.pyannote[868].speaker SPEAKER_02
transcript.pyannote[868].start 7277.71221875
transcript.pyannote[868].end 7279.82159375
transcript.pyannote[869].speaker SPEAKER_02
transcript.pyannote[869].start 7280.32784375
transcript.pyannote[869].end 7280.71596875
transcript.pyannote[870].speaker SPEAKER_02
transcript.pyannote[870].start 7280.93534375
transcript.pyannote[870].end 7289.52471875
transcript.pyannote[871].speaker SPEAKER_02
transcript.pyannote[871].start 7289.91284375
transcript.pyannote[871].end 7292.98409375
transcript.pyannote[872].speaker SPEAKER_02
transcript.pyannote[872].start 7293.23721875
transcript.pyannote[872].end 7295.75159375
transcript.pyannote[873].speaker SPEAKER_02
transcript.pyannote[873].start 7296.27471875
transcript.pyannote[873].end 7308.89721875
transcript.pyannote[874].speaker SPEAKER_02
transcript.pyannote[874].start 7309.13346875
transcript.pyannote[874].end 7312.99784375
transcript.pyannote[875].speaker SPEAKER_02
transcript.pyannote[875].start 7313.55471875
transcript.pyannote[875].end 7314.36471875
transcript.pyannote[876].speaker SPEAKER_02
transcript.pyannote[876].start 7314.73596875
transcript.pyannote[876].end 7318.51596875
transcript.pyannote[877].speaker SPEAKER_11
transcript.pyannote[877].start 7319.20784375
transcript.pyannote[877].end 7348.90784375
transcript.pyannote[878].speaker SPEAKER_02
transcript.pyannote[878].start 7348.90784375
transcript.pyannote[878].end 7361.39534375
transcript.pyannote[879].speaker SPEAKER_02
transcript.pyannote[879].start 7361.71596875
transcript.pyannote[879].end 7366.66034375
transcript.pyannote[880].speaker SPEAKER_02
transcript.pyannote[880].start 7368.33096875
transcript.pyannote[880].end 7369.56284375
transcript.pyannote[881].speaker SPEAKER_02
transcript.pyannote[881].start 7370.20409375
transcript.pyannote[881].end 7371.21659375
transcript.pyannote[882].speaker SPEAKER_02
transcript.pyannote[882].start 7371.53721875
transcript.pyannote[882].end 7372.63409375
transcript.pyannote[883].speaker SPEAKER_02
transcript.pyannote[883].start 7372.95471875
transcript.pyannote[883].end 7375.78971875
transcript.pyannote[884].speaker SPEAKER_02
transcript.pyannote[884].start 7376.21159375
transcript.pyannote[884].end 7388.53034375
transcript.pyannote[885].speaker SPEAKER_02
transcript.pyannote[885].start 7388.80034375
transcript.pyannote[885].end 7391.33159375
transcript.pyannote[886].speaker SPEAKER_02
transcript.pyannote[886].start 7391.75346875
transcript.pyannote[886].end 7395.70221875
transcript.pyannote[887].speaker SPEAKER_02
transcript.pyannote[887].start 7395.87096875
transcript.pyannote[887].end 7402.01346875
transcript.pyannote[888].speaker SPEAKER_02
transcript.pyannote[888].start 7402.19909375
transcript.pyannote[888].end 7403.58284375
transcript.pyannote[889].speaker SPEAKER_02
transcript.pyannote[889].start 7404.49409375
transcript.pyannote[889].end 7406.33346875
transcript.pyannote[890].speaker SPEAKER_02
transcript.pyannote[890].start 7406.56971875
transcript.pyannote[890].end 7412.64471875
transcript.pyannote[891].speaker SPEAKER_02
transcript.pyannote[891].start 7413.30284375
transcript.pyannote[891].end 7415.29409375
transcript.pyannote[892].speaker SPEAKER_02
transcript.pyannote[892].start 7415.61471875
transcript.pyannote[892].end 7417.43721875
transcript.pyannote[893].speaker SPEAKER_02
transcript.pyannote[893].start 7418.23034375
transcript.pyannote[893].end 7418.78721875
transcript.pyannote[894].speaker SPEAKER_02
transcript.pyannote[894].start 7419.85034375
transcript.pyannote[894].end 7422.76971875
transcript.pyannote[895].speaker SPEAKER_02
transcript.pyannote[895].start 7423.19159375
transcript.pyannote[895].end 7423.71471875
transcript.pyannote[896].speaker SPEAKER_19
transcript.pyannote[896].start 7424.17034375
transcript.pyannote[896].end 7424.65971875
transcript.pyannote[897].speaker SPEAKER_02
transcript.pyannote[897].start 7424.65971875
transcript.pyannote[897].end 7428.20346875
transcript.pyannote[898].speaker SPEAKER_02
transcript.pyannote[898].start 7428.91221875
transcript.pyannote[898].end 7430.26221875
transcript.pyannote[899].speaker SPEAKER_02
transcript.pyannote[899].start 7430.46471875
transcript.pyannote[899].end 7435.34159375
transcript.pyannote[900].speaker SPEAKER_02
transcript.pyannote[900].start 7435.61159375
transcript.pyannote[900].end 7438.46346875
transcript.pyannote[901].speaker SPEAKER_02
transcript.pyannote[901].start 7438.63221875
transcript.pyannote[901].end 7453.12784375
transcript.pyannote[902].speaker SPEAKER_16
transcript.pyannote[902].start 7453.60034375
transcript.pyannote[902].end 7454.10659375
transcript.pyannote[903].speaker SPEAKER_16
transcript.pyannote[903].start 7454.81534375
transcript.pyannote[903].end 7454.98409375
transcript.pyannote[904].speaker SPEAKER_02
transcript.pyannote[904].start 7454.98409375
transcript.pyannote[904].end 7455.03471875
transcript.pyannote[905].speaker SPEAKER_16
transcript.pyannote[905].start 7455.03471875
transcript.pyannote[905].end 7459.50659375
transcript.pyannote[906].speaker SPEAKER_16
transcript.pyannote[906].start 7459.96221875
transcript.pyannote[906].end 7467.65721875
transcript.pyannote[907].speaker SPEAKER_02
transcript.pyannote[907].start 7465.95284375
transcript.pyannote[907].end 7469.83409375
transcript.pyannote[908].speaker SPEAKER_16
transcript.pyannote[908].start 7469.04096875
transcript.pyannote[908].end 7474.99784375
transcript.pyannote[909].speaker SPEAKER_16
transcript.pyannote[909].start 7475.30159375
transcript.pyannote[909].end 7499.66909375
transcript.pyannote[910].speaker SPEAKER_16
transcript.pyannote[910].start 7500.20909375
transcript.pyannote[910].end 7500.95159375
transcript.pyannote[911].speaker SPEAKER_02
transcript.pyannote[911].start 7500.95159375
transcript.pyannote[911].end 7500.96846875
transcript.pyannote[912].speaker SPEAKER_16
transcript.pyannote[912].start 7501.62659375
transcript.pyannote[912].end 7501.96409375
transcript.pyannote[913].speaker SPEAKER_02
transcript.pyannote[913].start 7501.96409375
transcript.pyannote[913].end 7512.44346875
transcript.pyannote[914].speaker SPEAKER_02
transcript.pyannote[914].start 7513.11846875
transcript.pyannote[914].end 7514.26596875
transcript.pyannote[915].speaker SPEAKER_02
transcript.pyannote[915].start 7514.41784375
transcript.pyannote[915].end 7515.64971875
transcript.pyannote[916].speaker SPEAKER_02
transcript.pyannote[916].start 7516.24034375
transcript.pyannote[916].end 7518.01221875
transcript.pyannote[917].speaker SPEAKER_02
transcript.pyannote[917].start 7518.95721875
transcript.pyannote[917].end 7519.73346875
transcript.pyannote[918].speaker SPEAKER_02
transcript.pyannote[918].start 7520.37471875
transcript.pyannote[918].end 7522.95659375
transcript.pyannote[919].speaker SPEAKER_02
transcript.pyannote[919].start 7523.61471875
transcript.pyannote[919].end 7524.74534375
transcript.pyannote[920].speaker SPEAKER_02
transcript.pyannote[920].start 7524.96471875
transcript.pyannote[920].end 7526.16284375
transcript.pyannote[921].speaker SPEAKER_02
transcript.pyannote[921].start 7526.33159375
transcript.pyannote[921].end 7530.16221875
transcript.pyannote[922].speaker SPEAKER_02
transcript.pyannote[922].start 7530.98909375
transcript.pyannote[922].end 7533.25034375
transcript.pyannote[923].speaker SPEAKER_02
transcript.pyannote[923].start 7533.58784375
transcript.pyannote[923].end 7536.52409375
transcript.pyannote[924].speaker SPEAKER_02
transcript.pyannote[924].start 7537.62096875
transcript.pyannote[924].end 7538.78534375
transcript.pyannote[925].speaker SPEAKER_02
transcript.pyannote[925].start 7538.90346875
transcript.pyannote[925].end 7541.11409375
transcript.pyannote[926].speaker SPEAKER_16
transcript.pyannote[926].start 7543.61159375
transcript.pyannote[926].end 7555.30596875
transcript.pyannote[927].speaker SPEAKER_02
transcript.pyannote[927].start 7555.30596875
transcript.pyannote[927].end 7555.32284375
transcript.pyannote[928].speaker SPEAKER_16
transcript.pyannote[928].start 7555.32284375
transcript.pyannote[928].end 7555.44096875
transcript.pyannote[929].speaker SPEAKER_02
transcript.pyannote[929].start 7555.44096875
transcript.pyannote[929].end 7555.49159375
transcript.pyannote[930].speaker SPEAKER_16
transcript.pyannote[930].start 7555.50846875
transcript.pyannote[930].end 7555.54221875
transcript.pyannote[931].speaker SPEAKER_02
transcript.pyannote[931].start 7555.54221875
transcript.pyannote[931].end 7555.55909375
transcript.pyannote[932].speaker SPEAKER_16
transcript.pyannote[932].start 7555.55909375
transcript.pyannote[932].end 7555.96409375
transcript.pyannote[933].speaker SPEAKER_02
transcript.pyannote[933].start 7555.96409375
transcript.pyannote[933].end 7561.33034375
transcript.pyannote[934].speaker SPEAKER_02
transcript.pyannote[934].start 7561.58346875
transcript.pyannote[934].end 7561.93784375
transcript.pyannote[935].speaker SPEAKER_02
transcript.pyannote[935].start 7562.73096875
transcript.pyannote[935].end 7565.17784375
transcript.pyannote[936].speaker SPEAKER_02
transcript.pyannote[936].start 7565.53221875
transcript.pyannote[936].end 7567.70909375
transcript.pyannote[937].speaker SPEAKER_02
transcript.pyannote[937].start 7568.40096875
transcript.pyannote[937].end 7602.50534375
transcript.pyannote[938].speaker SPEAKER_02
transcript.pyannote[938].start 7602.74159375
transcript.pyannote[938].end 7603.19721875
transcript.pyannote[939].speaker SPEAKER_02
transcript.pyannote[939].start 7603.53471875
transcript.pyannote[939].end 7607.92221875
transcript.pyannote[940].speaker SPEAKER_02
transcript.pyannote[940].start 7608.25971875
transcript.pyannote[940].end 7616.37659375
transcript.pyannote[941].speaker SPEAKER_02
transcript.pyannote[941].start 7617.01784375
transcript.pyannote[941].end 7618.16534375
transcript.pyannote[942].speaker SPEAKER_02
transcript.pyannote[942].start 7618.45221875
transcript.pyannote[942].end 7620.27471875
transcript.pyannote[943].speaker SPEAKER_02
transcript.pyannote[943].start 7620.66284375
transcript.pyannote[943].end 7621.74284375
transcript.pyannote[944].speaker SPEAKER_02
transcript.pyannote[944].start 7623.07596875
transcript.pyannote[944].end 7625.16846875
transcript.pyannote[945].speaker SPEAKER_02
transcript.pyannote[945].start 7625.62409375
transcript.pyannote[945].end 7625.97846875
transcript.pyannote[946].speaker SPEAKER_02
transcript.pyannote[946].start 7626.65346875
transcript.pyannote[946].end 7627.53096875
transcript.pyannote[947].speaker SPEAKER_02
transcript.pyannote[947].start 7628.77971875
transcript.pyannote[947].end 7630.04534375
transcript.pyannote[948].speaker SPEAKER_02
transcript.pyannote[948].start 7630.72034375
transcript.pyannote[948].end 7632.54284375
transcript.pyannote[949].speaker SPEAKER_02
transcript.pyannote[949].start 7633.84221875
transcript.pyannote[949].end 7634.83784375
transcript.pyannote[950].speaker SPEAKER_02
transcript.pyannote[950].start 7636.12034375
transcript.pyannote[950].end 7637.01471875
transcript.pyannote[951].speaker SPEAKER_07
transcript.pyannote[951].start 7637.89221875
transcript.pyannote[951].end 7642.26284375
transcript.pyannote[952].speaker SPEAKER_02
transcript.pyannote[952].start 7642.26284375
transcript.pyannote[952].end 7642.38096875
transcript.pyannote[953].speaker SPEAKER_07
transcript.pyannote[953].start 7642.38096875
transcript.pyannote[953].end 7642.51596875
transcript.pyannote[954].speaker SPEAKER_02
transcript.pyannote[954].start 7642.51596875
transcript.pyannote[954].end 7642.53284375
transcript.pyannote[955].speaker SPEAKER_02
transcript.pyannote[955].start 7643.10659375
transcript.pyannote[955].end 7646.26221875
transcript.pyannote[956].speaker SPEAKER_02
transcript.pyannote[956].start 7646.43096875
transcript.pyannote[956].end 7649.67096875
transcript.pyannote[957].speaker SPEAKER_02
transcript.pyannote[957].start 7649.99159375
transcript.pyannote[957].end 7653.87284375
transcript.pyannote[958].speaker SPEAKER_02
transcript.pyannote[958].start 7654.07534375
transcript.pyannote[958].end 7657.90596875
transcript.pyannote[959].speaker SPEAKER_02
transcript.pyannote[959].start 7658.26034375
transcript.pyannote[959].end 7662.68159375
transcript.pyannote[960].speaker SPEAKER_02
transcript.pyannote[960].start 7662.88409375
transcript.pyannote[960].end 7665.34784375
transcript.pyannote[961].speaker SPEAKER_02
transcript.pyannote[961].start 7666.07346875
transcript.pyannote[961].end 7666.91721875
transcript.pyannote[962].speaker SPEAKER_02
transcript.pyannote[962].start 7667.42346875
transcript.pyannote[962].end 7668.43596875
transcript.pyannote[963].speaker SPEAKER_02
transcript.pyannote[963].start 7668.73971875
transcript.pyannote[963].end 7675.13534375
transcript.pyannote[964].speaker SPEAKER_02
transcript.pyannote[964].start 7675.60784375
transcript.pyannote[964].end 7683.01596875
transcript.pyannote[965].speaker SPEAKER_02
transcript.pyannote[965].start 7683.89346875
transcript.pyannote[965].end 7688.97284375
transcript.pyannote[966].speaker SPEAKER_02
transcript.pyannote[966].start 7689.22596875
transcript.pyannote[966].end 7690.28909375
transcript.pyannote[967].speaker SPEAKER_02
transcript.pyannote[967].start 7690.42409375
transcript.pyannote[967].end 7691.70659375
transcript.pyannote[968].speaker SPEAKER_02
transcript.pyannote[968].start 7692.06096875
transcript.pyannote[968].end 7715.36534375
transcript.pyannote[969].speaker SPEAKER_02
transcript.pyannote[969].start 7715.70284375
transcript.pyannote[969].end 7716.41159375
transcript.pyannote[970].speaker SPEAKER_02
transcript.pyannote[970].start 7716.81659375
transcript.pyannote[970].end 7719.46596875
transcript.pyannote[971].speaker SPEAKER_02
transcript.pyannote[971].start 7719.85409375
transcript.pyannote[971].end 7724.62971875
transcript.pyannote[972].speaker SPEAKER_02
transcript.pyannote[972].start 7725.18659375
transcript.pyannote[972].end 7744.25534375
transcript.pyannote[973].speaker SPEAKER_02
transcript.pyannote[973].start 7744.50846875
transcript.pyannote[973].end 7757.16471875
transcript.pyannote[974].speaker SPEAKER_02
transcript.pyannote[974].start 7757.62034375
transcript.pyannote[974].end 7757.68784375
transcript.pyannote[975].speaker SPEAKER_02
transcript.pyannote[975].start 7758.10971875
transcript.pyannote[975].end 7765.43346875
transcript.pyannote[976].speaker SPEAKER_07
transcript.pyannote[976].start 7767.96471875
transcript.pyannote[976].end 7775.77784375
transcript.pyannote[977].speaker SPEAKER_02
transcript.pyannote[977].start 7777.07721875
transcript.pyannote[977].end 7778.39346875
transcript.pyannote[978].speaker SPEAKER_02
transcript.pyannote[978].start 7778.93346875
transcript.pyannote[978].end 7780.65471875
transcript.pyannote[979].speaker SPEAKER_02
transcript.pyannote[979].start 7780.82346875
transcript.pyannote[979].end 7793.31096875
transcript.pyannote[980].speaker SPEAKER_02
transcript.pyannote[980].start 7793.64846875
transcript.pyannote[980].end 7795.08284375
transcript.pyannote[981].speaker SPEAKER_02
transcript.pyannote[981].start 7795.42034375
transcript.pyannote[981].end 7796.58471875
transcript.pyannote[982].speaker SPEAKER_02
transcript.pyannote[982].start 7796.77034375
transcript.pyannote[982].end 7797.59721875
transcript.pyannote[983].speaker SPEAKER_02
transcript.pyannote[983].start 7797.78284375
transcript.pyannote[983].end 7799.31846875
transcript.pyannote[984].speaker SPEAKER_02
transcript.pyannote[984].start 7799.58846875
transcript.pyannote[984].end 7809.51096875
transcript.pyannote[985].speaker SPEAKER_02
transcript.pyannote[985].start 7809.62909375
transcript.pyannote[985].end 7811.83971875
transcript.pyannote[986].speaker SPEAKER_02
transcript.pyannote[986].start 7812.04221875
transcript.pyannote[986].end 7812.93659375
transcript.pyannote[987].speaker SPEAKER_02
transcript.pyannote[987].start 7813.24034375
transcript.pyannote[987].end 7814.64096875
transcript.pyannote[988].speaker SPEAKER_02
transcript.pyannote[988].start 7814.99534375
transcript.pyannote[988].end 7817.13846875
transcript.pyannote[989].speaker SPEAKER_02
transcript.pyannote[989].start 7817.59409375
transcript.pyannote[989].end 7818.35346875
transcript.pyannote[990].speaker SPEAKER_02
transcript.pyannote[990].start 7818.97784375
transcript.pyannote[990].end 7820.04096875
transcript.pyannote[991].speaker SPEAKER_02
transcript.pyannote[991].start 7820.49659375
transcript.pyannote[991].end 7828.47846875
transcript.pyannote[992].speaker SPEAKER_02
transcript.pyannote[992].start 7829.05221875
transcript.pyannote[992].end 7833.20346875
transcript.pyannote[993].speaker SPEAKER_02
transcript.pyannote[993].start 7833.40596875
transcript.pyannote[993].end 7837.62471875
transcript.pyannote[994].speaker SPEAKER_02
transcript.pyannote[994].start 7837.86096875
transcript.pyannote[994].end 7840.61159375
transcript.pyannote[995].speaker SPEAKER_02
transcript.pyannote[995].start 7841.45534375
transcript.pyannote[995].end 7841.86034375
transcript.pyannote[996].speaker SPEAKER_13
transcript.pyannote[996].start 7845.16784375
transcript.pyannote[996].end 7845.20159375
transcript.pyannote[997].speaker SPEAKER_11
transcript.pyannote[997].start 7845.20159375
transcript.pyannote[997].end 7845.50534375
transcript.pyannote[998].speaker SPEAKER_13
transcript.pyannote[998].start 7845.50534375
transcript.pyannote[998].end 7845.69096875
transcript.pyannote[999].speaker SPEAKER_11
transcript.pyannote[999].start 7845.69096875
transcript.pyannote[999].end 7845.77534375
transcript.pyannote[1000].speaker SPEAKER_13
transcript.pyannote[1000].start 7845.77534375
transcript.pyannote[1000].end 7845.80909375
transcript.pyannote[1001].speaker SPEAKER_13
transcript.pyannote[1001].start 7845.85971875
transcript.pyannote[1001].end 7848.61034375
transcript.pyannote[1002].speaker SPEAKER_13
transcript.pyannote[1002].start 7849.09971875
transcript.pyannote[1002].end 7851.88409375
transcript.pyannote[1003].speaker SPEAKER_01
transcript.pyannote[1003].start 7863.12284375
transcript.pyannote[1003].end 7865.21534375
transcript.pyannote[1004].speaker SPEAKER_01
transcript.pyannote[1004].start 7865.43471875
transcript.pyannote[1004].end 7869.21471875
transcript.pyannote[1005].speaker SPEAKER_13
transcript.pyannote[1005].start 7869.21471875
transcript.pyannote[1005].end 7870.17659375
transcript.pyannote[1006].speaker SPEAKER_01
transcript.pyannote[1006].start 7871.02034375
transcript.pyannote[1006].end 7873.12971875
transcript.pyannote[1007].speaker SPEAKER_01
transcript.pyannote[1007].start 7873.29846875
transcript.pyannote[1007].end 7874.61471875
transcript.pyannote[1008].speaker SPEAKER_13
transcript.pyannote[1008].start 7874.61471875
transcript.pyannote[1008].end 7875.03659375
transcript.pyannote[1009].speaker SPEAKER_11
transcript.pyannote[1009].start 7875.03659375
transcript.pyannote[1009].end 7875.40784375
transcript.pyannote[1010].speaker SPEAKER_01
transcript.pyannote[1010].start 7875.71159375
transcript.pyannote[1010].end 7876.80846875
transcript.pyannote[1011].speaker SPEAKER_01
transcript.pyannote[1011].start 7877.38221875
transcript.pyannote[1011].end 7879.06971875
transcript.pyannote[1012].speaker SPEAKER_01
transcript.pyannote[1012].start 7879.64346875
transcript.pyannote[1012].end 7880.48721875
transcript.pyannote[1013].speaker SPEAKER_01
transcript.pyannote[1013].start 7880.99346875
transcript.pyannote[1013].end 7882.88346875
transcript.pyannote[1014].speaker SPEAKER_01
transcript.pyannote[1014].start 7883.50784375
transcript.pyannote[1014].end 7884.48659375
transcript.pyannote[1015].speaker SPEAKER_01
transcript.pyannote[1015].start 7884.97596875
transcript.pyannote[1015].end 7885.90409375
transcript.pyannote[1016].speaker SPEAKER_01
transcript.pyannote[1016].start 7886.46096875
transcript.pyannote[1016].end 7887.45659375
transcript.pyannote[1017].speaker SPEAKER_01
transcript.pyannote[1017].start 7888.09784375
transcript.pyannote[1017].end 7889.05971875
transcript.pyannote[1018].speaker SPEAKER_01
transcript.pyannote[1018].start 7889.85284375
transcript.pyannote[1018].end 7890.32534375
transcript.pyannote[1019].speaker SPEAKER_01
transcript.pyannote[1019].start 7891.10159375
transcript.pyannote[1019].end 7892.43471875
transcript.pyannote[1020].speaker SPEAKER_01
transcript.pyannote[1020].start 7892.87346875
transcript.pyannote[1020].end 7894.57784375
transcript.pyannote[1021].speaker SPEAKER_01
transcript.pyannote[1021].start 7894.94909375
transcript.pyannote[1021].end 7895.86034375
transcript.pyannote[1022].speaker SPEAKER_01
transcript.pyannote[1022].start 7896.34971875
transcript.pyannote[1022].end 7897.26096875
transcript.pyannote[1023].speaker SPEAKER_01
transcript.pyannote[1023].start 7897.69971875
transcript.pyannote[1023].end 7898.50971875
transcript.pyannote[1024].speaker SPEAKER_01
transcript.pyannote[1024].start 7898.77971875
transcript.pyannote[1024].end 7899.70784375
transcript.pyannote[1025].speaker SPEAKER_01
transcript.pyannote[1025].start 7900.28159375
transcript.pyannote[1025].end 7900.78784375
transcript.pyannote[1026].speaker SPEAKER_01
transcript.pyannote[1026].start 7901.41221875
transcript.pyannote[1026].end 7902.72846875
transcript.pyannote[1027].speaker SPEAKER_01
transcript.pyannote[1027].start 7903.36971875
transcript.pyannote[1027].end 7903.87596875
transcript.pyannote[1028].speaker SPEAKER_01
transcript.pyannote[1028].start 7904.36534375
transcript.pyannote[1028].end 7906.52534375
transcript.pyannote[1029].speaker SPEAKER_01
transcript.pyannote[1029].start 7906.93034375
transcript.pyannote[1029].end 7908.58409375
transcript.pyannote[1030].speaker SPEAKER_01
transcript.pyannote[1030].start 7909.37721875
transcript.pyannote[1030].end 7910.28846875
transcript.pyannote[1031].speaker SPEAKER_01
transcript.pyannote[1031].start 7910.57534375
transcript.pyannote[1031].end 7911.79034375
transcript.pyannote[1032].speaker SPEAKER_01
transcript.pyannote[1032].start 7912.75221875
transcript.pyannote[1032].end 7913.32596875
transcript.pyannote[1033].speaker SPEAKER_01
transcript.pyannote[1033].start 7913.66346875
transcript.pyannote[1033].end 7914.92909375
transcript.pyannote[1034].speaker SPEAKER_01
transcript.pyannote[1034].start 7915.30034375
transcript.pyannote[1034].end 7916.21159375
transcript.pyannote[1035].speaker SPEAKER_01
transcript.pyannote[1035].start 7916.78534375
transcript.pyannote[1035].end 7917.93284375
transcript.pyannote[1036].speaker SPEAKER_01
transcript.pyannote[1036].start 7918.91159375
transcript.pyannote[1036].end 7919.78909375
transcript.pyannote[1037].speaker SPEAKER_01
transcript.pyannote[1037].start 7920.41346875
transcript.pyannote[1037].end 7921.44284375
transcript.pyannote[1038].speaker SPEAKER_01
transcript.pyannote[1038].start 7921.66221875
transcript.pyannote[1038].end 7921.72971875
transcript.pyannote[1039].speaker SPEAKER_19
transcript.pyannote[1039].start 7921.72971875
transcript.pyannote[1039].end 7921.79721875
transcript.pyannote[1040].speaker SPEAKER_01
transcript.pyannote[1040].start 7921.79721875
transcript.pyannote[1040].end 7922.05034375
transcript.pyannote[1041].speaker SPEAKER_01
transcript.pyannote[1041].start 7922.23596875
transcript.pyannote[1041].end 7922.50596875
transcript.pyannote[1042].speaker SPEAKER_01
transcript.pyannote[1042].start 7922.94471875
transcript.pyannote[1042].end 7924.68284375
transcript.pyannote[1043].speaker SPEAKER_01
transcript.pyannote[1043].start 7925.07096875
transcript.pyannote[1043].end 7926.01596875
transcript.pyannote[1044].speaker SPEAKER_01
transcript.pyannote[1044].start 7926.38721875
transcript.pyannote[1044].end 7927.41659375
transcript.pyannote[1045].speaker SPEAKER_01
transcript.pyannote[1045].start 7928.27721875
transcript.pyannote[1045].end 7929.27284375
transcript.pyannote[1046].speaker SPEAKER_01
transcript.pyannote[1046].start 7929.77909375
transcript.pyannote[1046].end 7930.84221875
transcript.pyannote[1047].speaker SPEAKER_01
transcript.pyannote[1047].start 7931.19659375
transcript.pyannote[1047].end 7931.93909375
transcript.pyannote[1048].speaker SPEAKER_01
transcript.pyannote[1048].start 7932.52971875
transcript.pyannote[1048].end 7933.72784375
transcript.pyannote[1049].speaker SPEAKER_01
transcript.pyannote[1049].start 7934.13284375
transcript.pyannote[1049].end 7934.77409375
transcript.pyannote[1050].speaker SPEAKER_01
transcript.pyannote[1050].start 7935.19596875
transcript.pyannote[1050].end 7936.42784375
transcript.pyannote[1051].speaker SPEAKER_01
transcript.pyannote[1051].start 7936.81596875
transcript.pyannote[1051].end 7940.46096875
transcript.pyannote[1052].speaker SPEAKER_01
transcript.pyannote[1052].start 7940.91659375
transcript.pyannote[1052].end 7942.89096875
transcript.pyannote[1053].speaker SPEAKER_01
transcript.pyannote[1053].start 7943.66721875
transcript.pyannote[1053].end 7945.13534375
transcript.pyannote[1054].speaker SPEAKER_01
transcript.pyannote[1054].start 7945.47284375
transcript.pyannote[1054].end 7946.08034375
transcript.pyannote[1055].speaker SPEAKER_11
transcript.pyannote[1055].start 7945.59096875
transcript.pyannote[1055].end 7954.14659375
transcript.pyannote[1056].speaker SPEAKER_01
transcript.pyannote[1056].start 7950.34971875
transcript.pyannote[1056].end 7951.42971875
transcript.pyannote[1057].speaker SPEAKER_01
transcript.pyannote[1057].start 7952.88096875
transcript.pyannote[1057].end 7962.87096875
transcript.pyannote[1058].speaker SPEAKER_11
transcript.pyannote[1058].start 7960.94721875
transcript.pyannote[1058].end 7961.75721875
transcript.pyannote[1059].speaker SPEAKER_11
transcript.pyannote[1059].start 7962.28034375
transcript.pyannote[1059].end 7963.71471875
transcript.pyannote[1060].speaker SPEAKER_01
transcript.pyannote[1060].start 7963.71471875
transcript.pyannote[1060].end 7964.13659375
transcript.pyannote[1061].speaker SPEAKER_01
transcript.pyannote[1061].start 7964.45721875
transcript.pyannote[1061].end 7969.73909375
transcript.pyannote[1062].speaker SPEAKER_01
transcript.pyannote[1062].start 7970.07659375
transcript.pyannote[1062].end 7972.21971875
transcript.pyannote[1063].speaker SPEAKER_01
transcript.pyannote[1063].start 7972.47284375
transcript.pyannote[1063].end 7973.78909375
transcript.pyannote[1064].speaker SPEAKER_01
transcript.pyannote[1064].start 7974.00846875
transcript.pyannote[1064].end 7975.25721875
transcript.pyannote[1065].speaker SPEAKER_01
transcript.pyannote[1065].start 7975.47659375
transcript.pyannote[1065].end 7977.36659375
transcript.pyannote[1066].speaker SPEAKER_01
transcript.pyannote[1066].start 7977.72096875
transcript.pyannote[1066].end 7979.18909375
transcript.pyannote[1067].speaker SPEAKER_01
transcript.pyannote[1067].start 7979.54346875
transcript.pyannote[1067].end 7980.43784375
transcript.pyannote[1068].speaker SPEAKER_01
transcript.pyannote[1068].start 7980.65721875
transcript.pyannote[1068].end 7981.58534375
transcript.pyannote[1069].speaker SPEAKER_01
transcript.pyannote[1069].start 7981.82159375
transcript.pyannote[1069].end 7983.30659375
transcript.pyannote[1070].speaker SPEAKER_01
transcript.pyannote[1070].start 7983.55971875
transcript.pyannote[1070].end 7984.65659375
transcript.pyannote[1071].speaker SPEAKER_01
transcript.pyannote[1071].start 7984.87596875
transcript.pyannote[1071].end 7986.74909375
transcript.pyannote[1072].speaker SPEAKER_01
transcript.pyannote[1072].start 7987.03596875
transcript.pyannote[1072].end 7988.33534375
transcript.pyannote[1073].speaker SPEAKER_01
transcript.pyannote[1073].start 7988.50409375
transcript.pyannote[1073].end 7989.29721875
transcript.pyannote[1074].speaker SPEAKER_01
transcript.pyannote[1074].start 7989.65159375
transcript.pyannote[1074].end 7991.05221875
transcript.pyannote[1075].speaker SPEAKER_01
transcript.pyannote[1075].start 7991.20409375
transcript.pyannote[1075].end 7992.26721875
transcript.pyannote[1076].speaker SPEAKER_01
transcript.pyannote[1076].start 7992.62159375
transcript.pyannote[1076].end 7993.44846875
transcript.pyannote[1077].speaker SPEAKER_01
transcript.pyannote[1077].start 7993.75221875
transcript.pyannote[1077].end 7994.76471875
transcript.pyannote[1078].speaker SPEAKER_01
transcript.pyannote[1078].start 7995.00096875
transcript.pyannote[1078].end 7995.94596875
transcript.pyannote[1079].speaker SPEAKER_01
transcript.pyannote[1079].start 7996.26659375
transcript.pyannote[1079].end 7997.24534375
transcript.pyannote[1080].speaker SPEAKER_01
transcript.pyannote[1080].start 7997.56596875
transcript.pyannote[1080].end 7998.29159375
transcript.pyannote[1081].speaker SPEAKER_01
transcript.pyannote[1081].start 7998.79784375
transcript.pyannote[1081].end 7999.84409375
transcript.pyannote[1082].speaker SPEAKER_01
transcript.pyannote[1082].start 7999.89471875
transcript.pyannote[1082].end 8000.63721875
transcript.pyannote[1083].speaker SPEAKER_01
transcript.pyannote[1083].start 8001.04221875
transcript.pyannote[1083].end 8001.64971875
transcript.pyannote[1084].speaker SPEAKER_01
transcript.pyannote[1084].start 8002.25721875
transcript.pyannote[1084].end 8002.88159375
transcript.pyannote[1085].speaker SPEAKER_01
transcript.pyannote[1085].start 8003.62409375
transcript.pyannote[1085].end 8004.63659375
transcript.pyannote[1086].speaker SPEAKER_01
transcript.pyannote[1086].start 8005.07534375
transcript.pyannote[1086].end 8006.29034375
transcript.pyannote[1087].speaker SPEAKER_01
transcript.pyannote[1087].start 8006.77971875
transcript.pyannote[1087].end 8008.99034375
transcript.pyannote[1088].speaker SPEAKER_01
transcript.pyannote[1088].start 8009.56409375
transcript.pyannote[1088].end 8010.23909375
transcript.pyannote[1089].speaker SPEAKER_01
transcript.pyannote[1089].start 8010.96471875
transcript.pyannote[1089].end 8012.95596875
transcript.pyannote[1090].speaker SPEAKER_01
transcript.pyannote[1090].start 8013.51284375
transcript.pyannote[1090].end 8015.55471875
transcript.pyannote[1091].speaker SPEAKER_01
transcript.pyannote[1091].start 8016.12846875
transcript.pyannote[1091].end 8016.71909375
transcript.pyannote[1092].speaker SPEAKER_01
transcript.pyannote[1092].start 8017.07346875
transcript.pyannote[1092].end 8017.64721875
transcript.pyannote[1093].speaker SPEAKER_01
transcript.pyannote[1093].start 8017.98471875
transcript.pyannote[1093].end 8018.59221875
transcript.pyannote[1094].speaker SPEAKER_01
transcript.pyannote[1094].start 8019.28409375
transcript.pyannote[1094].end 8019.80721875
transcript.pyannote[1095].speaker SPEAKER_01
transcript.pyannote[1095].start 8020.17846875
transcript.pyannote[1095].end 8021.32596875
transcript.pyannote[1096].speaker SPEAKER_01
transcript.pyannote[1096].start 8021.52846875
transcript.pyannote[1096].end 8022.30471875
transcript.pyannote[1097].speaker SPEAKER_01
transcript.pyannote[1097].start 8022.72659375
transcript.pyannote[1097].end 8023.97534375
transcript.pyannote[1098].speaker SPEAKER_01
transcript.pyannote[1098].start 8024.32971875
transcript.pyannote[1098].end 8025.67971875
transcript.pyannote[1099].speaker SPEAKER_01
transcript.pyannote[1099].start 8026.16909375
transcript.pyannote[1099].end 8027.01284375
transcript.pyannote[1100].speaker SPEAKER_01
transcript.pyannote[1100].start 8027.50221875
transcript.pyannote[1100].end 8028.61596875
transcript.pyannote[1101].speaker SPEAKER_01
transcript.pyannote[1101].start 8029.05471875
transcript.pyannote[1101].end 8030.23596875
transcript.pyannote[1102].speaker SPEAKER_01
transcript.pyannote[1102].start 8030.65784375
transcript.pyannote[1102].end 8031.24846875
transcript.pyannote[1103].speaker SPEAKER_01
transcript.pyannote[1103].start 8031.65346875
transcript.pyannote[1103].end 8033.59409375
transcript.pyannote[1104].speaker SPEAKER_01
transcript.pyannote[1104].start 8033.76284375
transcript.pyannote[1104].end 8035.66971875
transcript.pyannote[1105].speaker SPEAKER_01
transcript.pyannote[1105].start 8035.87221875
transcript.pyannote[1105].end 8036.64846875
transcript.pyannote[1106].speaker SPEAKER_01
transcript.pyannote[1106].start 8036.98596875
transcript.pyannote[1106].end 8038.15034375
transcript.pyannote[1107].speaker SPEAKER_01
transcript.pyannote[1107].start 8038.74096875
transcript.pyannote[1107].end 8040.51284375
transcript.pyannote[1108].speaker SPEAKER_01
transcript.pyannote[1108].start 8041.59284375
transcript.pyannote[1108].end 8042.95971875
transcript.pyannote[1109].speaker SPEAKER_01
transcript.pyannote[1109].start 8043.22971875
transcript.pyannote[1109].end 8044.12409375
transcript.pyannote[1110].speaker SPEAKER_01
transcript.pyannote[1110].start 8044.68096875
transcript.pyannote[1110].end 8045.38971875
transcript.pyannote[1111].speaker SPEAKER_01
transcript.pyannote[1111].start 8045.87909375
transcript.pyannote[1111].end 8046.60471875
transcript.pyannote[1112].speaker SPEAKER_01
transcript.pyannote[1112].start 8047.06034375
transcript.pyannote[1112].end 8047.93784375
transcript.pyannote[1113].speaker SPEAKER_01
transcript.pyannote[1113].start 8048.57909375
transcript.pyannote[1113].end 8049.08534375
transcript.pyannote[1114].speaker SPEAKER_01
transcript.pyannote[1114].start 8050.24971875
transcript.pyannote[1114].end 8052.47721875
transcript.pyannote[1115].speaker SPEAKER_01
transcript.pyannote[1115].start 8052.79784375
transcript.pyannote[1115].end 8053.62471875
transcript.pyannote[1116].speaker SPEAKER_01
transcript.pyannote[1116].start 8053.96221875
transcript.pyannote[1116].end 8056.45971875
transcript.pyannote[1117].speaker SPEAKER_01
transcript.pyannote[1117].start 8056.88159375
transcript.pyannote[1117].end 8057.99534375
transcript.pyannote[1118].speaker SPEAKER_01
transcript.pyannote[1118].start 8058.56909375
transcript.pyannote[1118].end 8059.90221875
transcript.pyannote[1119].speaker SPEAKER_01
transcript.pyannote[1119].start 8060.25659375
transcript.pyannote[1119].end 8061.67409375
transcript.pyannote[1120].speaker SPEAKER_01
transcript.pyannote[1120].start 8062.26471875
transcript.pyannote[1120].end 8063.47971875
transcript.pyannote[1121].speaker SPEAKER_01
transcript.pyannote[1121].start 8063.76659375
transcript.pyannote[1121].end 8065.30221875
transcript.pyannote[1122].speaker SPEAKER_01
transcript.pyannote[1122].start 8065.77471875
transcript.pyannote[1122].end 8066.43284375
transcript.pyannote[1123].speaker SPEAKER_01
transcript.pyannote[1123].start 8066.77034375
transcript.pyannote[1123].end 8067.42846875
transcript.pyannote[1124].speaker SPEAKER_01
transcript.pyannote[1124].start 8067.71534375
transcript.pyannote[1124].end 8068.54221875
transcript.pyannote[1125].speaker SPEAKER_01
transcript.pyannote[1125].start 8069.01471875
transcript.pyannote[1125].end 8072.05221875
transcript.pyannote[1126].speaker SPEAKER_01
transcript.pyannote[1126].start 8072.57534375
transcript.pyannote[1126].end 8073.58784375
transcript.pyannote[1127].speaker SPEAKER_01
transcript.pyannote[1127].start 8073.75659375
transcript.pyannote[1127].end 8074.39784375
transcript.pyannote[1128].speaker SPEAKER_01
transcript.pyannote[1128].start 8074.90409375
transcript.pyannote[1128].end 8076.57471875
transcript.pyannote[1129].speaker SPEAKER_01
transcript.pyannote[1129].start 8076.82784375
transcript.pyannote[1129].end 8077.70534375
transcript.pyannote[1130].speaker SPEAKER_01
transcript.pyannote[1130].start 8077.95846875
transcript.pyannote[1130].end 8078.59971875
transcript.pyannote[1131].speaker SPEAKER_01
transcript.pyannote[1131].start 8079.02159375
transcript.pyannote[1131].end 8080.64159375
transcript.pyannote[1132].speaker SPEAKER_01
transcript.pyannote[1132].start 8081.18159375
transcript.pyannote[1132].end 8084.47221875
transcript.pyannote[1133].speaker SPEAKER_01
transcript.pyannote[1133].start 8084.74221875
transcript.pyannote[1133].end 8086.00784375
transcript.pyannote[1134].speaker SPEAKER_01
transcript.pyannote[1134].start 8086.46346875
transcript.pyannote[1134].end 8088.75846875
transcript.pyannote[1135].speaker SPEAKER_01
transcript.pyannote[1135].start 8088.92721875
transcript.pyannote[1135].end 8090.80034375
transcript.pyannote[1136].speaker SPEAKER_01
transcript.pyannote[1136].start 8091.28971875
transcript.pyannote[1136].end 8092.43721875
transcript.pyannote[1137].speaker SPEAKER_01
transcript.pyannote[1137].start 8092.47096875
transcript.pyannote[1137].end 8093.12909375
transcript.pyannote[1138].speaker SPEAKER_01
transcript.pyannote[1138].start 8093.83784375
transcript.pyannote[1138].end 8094.64784375
transcript.pyannote[1139].speaker SPEAKER_01
transcript.pyannote[1139].start 8095.37346875
transcript.pyannote[1139].end 8097.82034375
transcript.pyannote[1140].speaker SPEAKER_01
transcript.pyannote[1140].start 8098.22534375
transcript.pyannote[1140].end 8099.45721875
transcript.pyannote[1141].speaker SPEAKER_01
transcript.pyannote[1141].start 8100.08159375
transcript.pyannote[1141].end 8101.16159375
transcript.pyannote[1142].speaker SPEAKER_01
transcript.pyannote[1142].start 8101.54971875
transcript.pyannote[1142].end 8103.38909375
transcript.pyannote[1143].speaker SPEAKER_01
transcript.pyannote[1143].start 8103.92909375
transcript.pyannote[1143].end 8104.90784375
transcript.pyannote[1144].speaker SPEAKER_01
transcript.pyannote[1144].start 8105.54909375
transcript.pyannote[1144].end 8114.22284375
transcript.pyannote[1145].speaker SPEAKER_01
transcript.pyannote[1145].start 8114.54346875
transcript.pyannote[1145].end 8116.66971875
transcript.pyannote[1146].speaker SPEAKER_01
transcript.pyannote[1146].start 8116.99034375
transcript.pyannote[1146].end 8118.98159375
transcript.pyannote[1147].speaker SPEAKER_01
transcript.pyannote[1147].start 8119.55534375
transcript.pyannote[1147].end 8120.93909375
transcript.pyannote[1148].speaker SPEAKER_01
transcript.pyannote[1148].start 8121.22596875
transcript.pyannote[1148].end 8121.91784375
transcript.pyannote[1149].speaker SPEAKER_01
transcript.pyannote[1149].start 8122.27221875
transcript.pyannote[1149].end 8123.25096875
transcript.pyannote[1150].speaker SPEAKER_01
transcript.pyannote[1150].start 8123.80784375
transcript.pyannote[1150].end 8124.93846875
transcript.pyannote[1151].speaker SPEAKER_01
transcript.pyannote[1151].start 8125.36034375
transcript.pyannote[1151].end 8126.47409375
transcript.pyannote[1152].speaker SPEAKER_01
transcript.pyannote[1152].start 8127.11534375
transcript.pyannote[1152].end 8129.64659375
transcript.pyannote[1153].speaker SPEAKER_01
transcript.pyannote[1153].start 8129.89971875
transcript.pyannote[1153].end 8130.89534375
transcript.pyannote[1154].speaker SPEAKER_16
transcript.pyannote[1154].start 8131.04721875
transcript.pyannote[1154].end 8213.32971875
transcript.pyannote[1155].speaker SPEAKER_01
transcript.pyannote[1155].start 8143.07909375
transcript.pyannote[1155].end 8143.33221875
transcript.pyannote[1156].speaker SPEAKER_00
transcript.pyannote[1156].start 8164.54409375
transcript.pyannote[1156].end 8164.62846875
transcript.pyannote[1157].speaker SPEAKER_01
transcript.pyannote[1157].start 8164.62846875
transcript.pyannote[1157].end 8164.76346875
transcript.pyannote[1158].speaker SPEAKER_00
transcript.pyannote[1158].start 8164.76346875
transcript.pyannote[1158].end 8164.81409375
transcript.pyannote[1159].speaker SPEAKER_00
transcript.pyannote[1159].start 8186.85284375
transcript.pyannote[1159].end 8187.32534375
transcript.pyannote[1160].speaker SPEAKER_00
transcript.pyannote[1160].start 8190.51471875
transcript.pyannote[1160].end 8190.59909375
transcript.pyannote[1161].speaker SPEAKER_19
transcript.pyannote[1161].start 8190.59909375
transcript.pyannote[1161].end 8190.97034375
transcript.pyannote[1162].speaker SPEAKER_00
transcript.pyannote[1162].start 8190.97034375
transcript.pyannote[1162].end 8191.03784375
transcript.pyannote[1163].speaker SPEAKER_01
transcript.pyannote[1163].start 8212.46909375
transcript.pyannote[1163].end 8212.95846875
transcript.pyannote[1164].speaker SPEAKER_01
transcript.pyannote[1164].start 8213.38034375
transcript.pyannote[1164].end 8213.39721875
transcript.pyannote[1165].speaker SPEAKER_16
transcript.pyannote[1165].start 8213.39721875
transcript.pyannote[1165].end 8213.51534375
transcript.pyannote[1166].speaker SPEAKER_01
transcript.pyannote[1166].start 8213.51534375
transcript.pyannote[1166].end 8213.92034375
transcript.pyannote[1167].speaker SPEAKER_01
transcript.pyannote[1167].start 8214.07221875
transcript.pyannote[1167].end 8221.85159375
transcript.pyannote[1168].speaker SPEAKER_01
transcript.pyannote[1168].start 8222.17221875
transcript.pyannote[1168].end 8224.55159375
transcript.pyannote[1169].speaker SPEAKER_01
transcript.pyannote[1169].start 8224.68659375
transcript.pyannote[1169].end 8227.36971875
transcript.pyannote[1170].speaker SPEAKER_01
transcript.pyannote[1170].start 8227.80846875
transcript.pyannote[1170].end 8228.70284375
transcript.pyannote[1171].speaker SPEAKER_01
transcript.pyannote[1171].start 8228.97284375
transcript.pyannote[1171].end 8230.12034375
transcript.pyannote[1172].speaker SPEAKER_01
transcript.pyannote[1172].start 8230.91346875
transcript.pyannote[1172].end 8232.93846875
transcript.pyannote[1173].speaker SPEAKER_01
transcript.pyannote[1173].start 8233.14096875
transcript.pyannote[1173].end 8235.57096875
transcript.pyannote[1174].speaker SPEAKER_01
transcript.pyannote[1174].start 8236.21221875
transcript.pyannote[1174].end 8236.90409375
transcript.pyannote[1175].speaker SPEAKER_01
transcript.pyannote[1175].start 8237.69721875
transcript.pyannote[1175].end 8238.54096875
transcript.pyannote[1176].speaker SPEAKER_01
transcript.pyannote[1176].start 8239.77284375
transcript.pyannote[1176].end 8240.78534375
transcript.pyannote[1177].speaker SPEAKER_01
transcript.pyannote[1177].start 8241.42659375
transcript.pyannote[1177].end 8243.06346875
transcript.pyannote[1178].speaker SPEAKER_01
transcript.pyannote[1178].start 8243.31659375
transcript.pyannote[1178].end 8244.32909375
transcript.pyannote[1179].speaker SPEAKER_01
transcript.pyannote[1179].start 8244.71721875
transcript.pyannote[1179].end 8246.65784375
transcript.pyannote[1180].speaker SPEAKER_01
transcript.pyannote[1180].start 8246.96159375
transcript.pyannote[1180].end 8248.61534375
transcript.pyannote[1181].speaker SPEAKER_01
transcript.pyannote[1181].start 8249.76284375
transcript.pyannote[1181].end 8251.33221875
transcript.pyannote[1182].speaker SPEAKER_01
transcript.pyannote[1182].start 8251.77096875
transcript.pyannote[1182].end 8253.50909375
transcript.pyannote[1183].speaker SPEAKER_01
transcript.pyannote[1183].start 8253.96471875
transcript.pyannote[1183].end 8254.42034375
transcript.pyannote[1184].speaker SPEAKER_01
transcript.pyannote[1184].start 8254.70721875
transcript.pyannote[1184].end 8255.29784375
transcript.pyannote[1185].speaker SPEAKER_01
transcript.pyannote[1185].start 8255.61846875
transcript.pyannote[1185].end 8257.72784375
transcript.pyannote[1186].speaker SPEAKER_01
transcript.pyannote[1186].start 8258.01471875
transcript.pyannote[1186].end 8258.84159375
transcript.pyannote[1187].speaker SPEAKER_01
transcript.pyannote[1187].start 8258.97659375
transcript.pyannote[1187].end 8262.48659375
transcript.pyannote[1188].speaker SPEAKER_01
transcript.pyannote[1188].start 8262.67221875
transcript.pyannote[1188].end 8264.61284375
transcript.pyannote[1189].speaker SPEAKER_01
transcript.pyannote[1189].start 8264.91659375
transcript.pyannote[1189].end 8265.79409375
transcript.pyannote[1190].speaker SPEAKER_01
transcript.pyannote[1190].start 8265.99659375
transcript.pyannote[1190].end 8267.22846875
transcript.pyannote[1191].speaker SPEAKER_01
transcript.pyannote[1191].start 8267.81909375
transcript.pyannote[1191].end 8273.89409375
transcript.pyannote[1192].speaker SPEAKER_01
transcript.pyannote[1192].start 8274.13034375
transcript.pyannote[1192].end 8275.86846875
transcript.pyannote[1193].speaker SPEAKER_01
transcript.pyannote[1193].start 8276.15534375
transcript.pyannote[1193].end 8277.77534375
transcript.pyannote[1194].speaker SPEAKER_01
transcript.pyannote[1194].start 8278.24784375
transcript.pyannote[1194].end 8279.80034375
transcript.pyannote[1195].speaker SPEAKER_01
transcript.pyannote[1195].start 8280.07034375
transcript.pyannote[1195].end 8281.85909375
transcript.pyannote[1196].speaker SPEAKER_01
transcript.pyannote[1196].start 8282.07846875
transcript.pyannote[1196].end 8283.52971875
transcript.pyannote[1197].speaker SPEAKER_01
transcript.pyannote[1197].start 8283.96846875
transcript.pyannote[1197].end 8284.91346875
transcript.pyannote[1198].speaker SPEAKER_01
transcript.pyannote[1198].start 8285.43659375
transcript.pyannote[1198].end 8286.11159375
transcript.pyannote[1199].speaker SPEAKER_01
transcript.pyannote[1199].start 8286.56721875
transcript.pyannote[1199].end 8287.37721875
transcript.pyannote[1200].speaker SPEAKER_01
transcript.pyannote[1200].start 8287.88346875
transcript.pyannote[1200].end 8289.38534375
transcript.pyannote[1201].speaker SPEAKER_01
transcript.pyannote[1201].start 8289.99284375
transcript.pyannote[1201].end 8290.63409375
transcript.pyannote[1202].speaker SPEAKER_01
transcript.pyannote[1202].start 8291.17409375
transcript.pyannote[1202].end 8293.03034375
transcript.pyannote[1203].speaker SPEAKER_01
transcript.pyannote[1203].start 8293.43534375
transcript.pyannote[1203].end 8295.71346875
transcript.pyannote[1204].speaker SPEAKER_01
transcript.pyannote[1204].start 8296.27034375
transcript.pyannote[1204].end 8300.15159375
transcript.pyannote[1205].speaker SPEAKER_01
transcript.pyannote[1205].start 8300.55659375
transcript.pyannote[1205].end 8301.82221875
transcript.pyannote[1206].speaker SPEAKER_01
transcript.pyannote[1206].start 8302.27784375
transcript.pyannote[1206].end 8303.30721875
transcript.pyannote[1207].speaker SPEAKER_01
transcript.pyannote[1207].start 8303.94846875
transcript.pyannote[1207].end 8304.40409375
transcript.pyannote[1208].speaker SPEAKER_01
transcript.pyannote[1208].start 8304.75846875
transcript.pyannote[1208].end 8307.05346875
transcript.pyannote[1209].speaker SPEAKER_01
transcript.pyannote[1209].start 8307.34034375
transcript.pyannote[1209].end 8309.78721875
transcript.pyannote[1210].speaker SPEAKER_01
transcript.pyannote[1210].start 8309.92221875
transcript.pyannote[1210].end 8313.83721875
transcript.pyannote[1211].speaker SPEAKER_01
transcript.pyannote[1211].start 8314.17471875
transcript.pyannote[1211].end 8316.01409375
transcript.pyannote[1212].speaker SPEAKER_01
transcript.pyannote[1212].start 8316.77346875
transcript.pyannote[1212].end 8317.75221875
transcript.pyannote[1213].speaker SPEAKER_01
transcript.pyannote[1213].start 8318.17409375
transcript.pyannote[1213].end 8319.65909375
transcript.pyannote[1214].speaker SPEAKER_01
transcript.pyannote[1214].start 8320.09784375
transcript.pyannote[1214].end 8321.05971875
transcript.pyannote[1215].speaker SPEAKER_01
transcript.pyannote[1215].start 8321.61659375
transcript.pyannote[1215].end 8323.20284375
transcript.pyannote[1216].speaker SPEAKER_01
transcript.pyannote[1216].start 8323.62471875
transcript.pyannote[1216].end 8325.51471875
transcript.pyannote[1217].speaker SPEAKER_01
transcript.pyannote[1217].start 8325.85221875
transcript.pyannote[1217].end 8326.49346875
transcript.pyannote[1218].speaker SPEAKER_01
transcript.pyannote[1218].start 8326.86471875
transcript.pyannote[1218].end 8328.95721875
transcript.pyannote[1219].speaker SPEAKER_01
transcript.pyannote[1219].start 8329.56471875
transcript.pyannote[1219].end 8331.20159375
transcript.pyannote[1220].speaker SPEAKER_01
transcript.pyannote[1220].start 8331.57284375
transcript.pyannote[1220].end 8333.17596875
transcript.pyannote[1221].speaker SPEAKER_01
transcript.pyannote[1221].start 8333.46284375
transcript.pyannote[1221].end 8334.13784375
transcript.pyannote[1222].speaker SPEAKER_01
transcript.pyannote[1222].start 8334.57659375
transcript.pyannote[1222].end 8335.70721875
transcript.pyannote[1223].speaker SPEAKER_01
transcript.pyannote[1223].start 8336.19659375
transcript.pyannote[1223].end 8338.32284375
transcript.pyannote[1224].speaker SPEAKER_01
transcript.pyannote[1224].start 8339.50409375
transcript.pyannote[1224].end 8339.95971875
transcript.pyannote[1225].speaker SPEAKER_01
transcript.pyannote[1225].start 8340.87096875
transcript.pyannote[1225].end 8341.84971875
transcript.pyannote[1226].speaker SPEAKER_01
transcript.pyannote[1226].start 8342.44034375
transcript.pyannote[1226].end 8342.76096875
transcript.pyannote[1227].speaker SPEAKER_01
transcript.pyannote[1227].start 8343.08159375
transcript.pyannote[1227].end 8343.87471875
transcript.pyannote[1228].speaker SPEAKER_01
transcript.pyannote[1228].start 8344.34721875
transcript.pyannote[1228].end 8344.75221875
transcript.pyannote[1229].speaker SPEAKER_01
transcript.pyannote[1229].start 8346.52409375
transcript.pyannote[1229].end 8349.25784375
transcript.pyannote[1230].speaker SPEAKER_04
transcript.pyannote[1230].start 8348.98784375
transcript.pyannote[1230].end 8358.43784375
transcript.pyannote[1231].speaker SPEAKER_01
transcript.pyannote[1231].start 8356.58159375
transcript.pyannote[1231].end 8356.98659375
transcript.pyannote[1232].speaker SPEAKER_01
transcript.pyannote[1232].start 8358.74159375
transcript.pyannote[1232].end 8359.29846875
transcript.pyannote[1233].speaker SPEAKER_01
transcript.pyannote[1233].start 8359.38284375
transcript.pyannote[1233].end 8362.16721875
transcript.pyannote[1234].speaker SPEAKER_01
transcript.pyannote[1234].start 8362.38659375
transcript.pyannote[1234].end 8363.92221875
transcript.pyannote[1235].speaker SPEAKER_01
transcript.pyannote[1235].start 8364.14159375
transcript.pyannote[1235].end 8366.68971875
transcript.pyannote[1236].speaker SPEAKER_01
transcript.pyannote[1236].start 8367.11159375
transcript.pyannote[1236].end 8368.73159375
transcript.pyannote[1237].speaker SPEAKER_01
transcript.pyannote[1237].start 8369.00159375
transcript.pyannote[1237].end 8370.35159375
transcript.pyannote[1238].speaker SPEAKER_01
transcript.pyannote[1238].start 8370.82409375
transcript.pyannote[1238].end 8372.03909375
transcript.pyannote[1239].speaker SPEAKER_01
transcript.pyannote[1239].start 8372.54534375
transcript.pyannote[1239].end 8374.04721875
transcript.pyannote[1240].speaker SPEAKER_01
transcript.pyannote[1240].start 8374.53659375
transcript.pyannote[1240].end 8375.54909375
transcript.pyannote[1241].speaker SPEAKER_01
transcript.pyannote[1241].start 8375.86971875
transcript.pyannote[1241].end 8376.51096875
transcript.pyannote[1242].speaker SPEAKER_01
transcript.pyannote[1242].start 8377.15221875
transcript.pyannote[1242].end 8379.34596875
transcript.pyannote[1243].speaker SPEAKER_01
transcript.pyannote[1243].start 8379.88596875
transcript.pyannote[1243].end 8380.66221875
transcript.pyannote[1244].speaker SPEAKER_01
transcript.pyannote[1244].start 8380.76346875
transcript.pyannote[1244].end 8382.13034375
transcript.pyannote[1245].speaker SPEAKER_01
transcript.pyannote[1245].start 8382.48471875
transcript.pyannote[1245].end 8383.05846875
transcript.pyannote[1246].speaker SPEAKER_01
transcript.pyannote[1246].start 8383.91909375
transcript.pyannote[1246].end 8386.12971875
transcript.pyannote[1247].speaker SPEAKER_01
transcript.pyannote[1247].start 8386.31534375
transcript.pyannote[1247].end 8387.37846875
transcript.pyannote[1248].speaker SPEAKER_01
transcript.pyannote[1248].start 8387.56409375
transcript.pyannote[1248].end 8388.08721875
transcript.pyannote[1249].speaker SPEAKER_01
transcript.pyannote[1249].start 8388.34034375
transcript.pyannote[1249].end 8389.65659375
transcript.pyannote[1250].speaker SPEAKER_01
transcript.pyannote[1250].start 8389.82534375
transcript.pyannote[1250].end 8391.66471875
transcript.pyannote[1251].speaker SPEAKER_01
transcript.pyannote[1251].start 8391.96846875
transcript.pyannote[1251].end 8393.21721875
transcript.pyannote[1252].speaker SPEAKER_01
transcript.pyannote[1252].start 8393.52096875
transcript.pyannote[1252].end 8394.02721875
transcript.pyannote[1253].speaker SPEAKER_01
transcript.pyannote[1253].start 8394.60096875
transcript.pyannote[1253].end 8395.09034375
transcript.pyannote[1254].speaker SPEAKER_01
transcript.pyannote[1254].start 8395.51221875
transcript.pyannote[1254].end 8396.57534375
transcript.pyannote[1255].speaker SPEAKER_01
transcript.pyannote[1255].start 8397.04784375
transcript.pyannote[1255].end 8398.90409375
transcript.pyannote[1256].speaker SPEAKER_01
transcript.pyannote[1256].start 8399.24159375
transcript.pyannote[1256].end 8400.91221875
transcript.pyannote[1257].speaker SPEAKER_01
transcript.pyannote[1257].start 8401.63784375
transcript.pyannote[1257].end 8402.63346875
transcript.pyannote[1258].speaker SPEAKER_01
transcript.pyannote[1258].start 8403.30846875
transcript.pyannote[1258].end 8403.73034375
transcript.pyannote[1259].speaker SPEAKER_01
transcript.pyannote[1259].start 8403.96659375
transcript.pyannote[1259].end 8404.96221875
transcript.pyannote[1260].speaker SPEAKER_01
transcript.pyannote[1260].start 8405.83971875
transcript.pyannote[1260].end 8407.89846875
transcript.pyannote[1261].speaker SPEAKER_01
transcript.pyannote[1261].start 8408.75909375
transcript.pyannote[1261].end 8409.24846875
transcript.pyannote[1262].speaker SPEAKER_01
transcript.pyannote[1262].start 8409.80534375
transcript.pyannote[1262].end 8410.78409375
transcript.pyannote[1263].speaker SPEAKER_01
transcript.pyannote[1263].start 8411.20596875
transcript.pyannote[1263].end 8413.36596875
transcript.pyannote[1264].speaker SPEAKER_01
transcript.pyannote[1264].start 8413.83846875
transcript.pyannote[1264].end 8414.76659375
transcript.pyannote[1265].speaker SPEAKER_01
transcript.pyannote[1265].start 8415.37409375
transcript.pyannote[1265].end 8416.18409375
transcript.pyannote[1266].speaker SPEAKER_01
transcript.pyannote[1266].start 8416.74096875
transcript.pyannote[1266].end 8417.66909375
transcript.pyannote[1267].speaker SPEAKER_01
transcript.pyannote[1267].start 8418.10784375
transcript.pyannote[1267].end 8419.00221875
transcript.pyannote[1268].speaker SPEAKER_01
transcript.pyannote[1268].start 8419.05284375
transcript.pyannote[1268].end 8419.94721875
transcript.pyannote[1269].speaker SPEAKER_01
transcript.pyannote[1269].start 8420.28471875
transcript.pyannote[1269].end 8420.90909375
transcript.pyannote[1270].speaker SPEAKER_01
transcript.pyannote[1270].start 8421.31409375
transcript.pyannote[1270].end 8423.11971875
transcript.pyannote[1271].speaker SPEAKER_01
transcript.pyannote[1271].start 8423.40659375
transcript.pyannote[1271].end 8424.09846875
transcript.pyannote[1272].speaker SPEAKER_01
transcript.pyannote[1272].start 8424.43596875
transcript.pyannote[1272].end 8425.78596875
transcript.pyannote[1273].speaker SPEAKER_01
transcript.pyannote[1273].start 8426.19096875
transcript.pyannote[1273].end 8427.70971875
transcript.pyannote[1274].speaker SPEAKER_01
transcript.pyannote[1274].start 8428.36784375
transcript.pyannote[1274].end 8429.98784375
transcript.pyannote[1275].speaker SPEAKER_01
transcript.pyannote[1275].start 8430.46034375
transcript.pyannote[1275].end 8432.26596875
transcript.pyannote[1276].speaker SPEAKER_01
transcript.pyannote[1276].start 8432.67096875
transcript.pyannote[1276].end 8434.37534375
transcript.pyannote[1277].speaker SPEAKER_01
transcript.pyannote[1277].start 8434.89846875
transcript.pyannote[1277].end 8435.25284375
transcript.pyannote[1278].speaker SPEAKER_01
transcript.pyannote[1278].start 8436.01221875
transcript.pyannote[1278].end 8436.92346875
transcript.pyannote[1279].speaker SPEAKER_01
transcript.pyannote[1279].start 8437.39596875
transcript.pyannote[1279].end 8438.27346875
transcript.pyannote[1280].speaker SPEAKER_01
transcript.pyannote[1280].start 8438.67846875
transcript.pyannote[1280].end 8440.34909375
transcript.pyannote[1281].speaker SPEAKER_01
transcript.pyannote[1281].start 8440.75409375
transcript.pyannote[1281].end 8441.22659375
transcript.pyannote[1282].speaker SPEAKER_01
transcript.pyannote[1282].start 8441.74971875
transcript.pyannote[1282].end 8444.38221875
transcript.pyannote[1283].speaker SPEAKER_01
transcript.pyannote[1283].start 8444.56784375
transcript.pyannote[1283].end 8446.22159375
transcript.pyannote[1284].speaker SPEAKER_01
transcript.pyannote[1284].start 8446.66034375
transcript.pyannote[1284].end 8450.79471875
transcript.pyannote[1285].speaker SPEAKER_01
transcript.pyannote[1285].start 8451.30096875
transcript.pyannote[1285].end 8452.14471875
transcript.pyannote[1286].speaker SPEAKER_01
transcript.pyannote[1286].start 8453.03909375
transcript.pyannote[1286].end 8454.28784375
transcript.pyannote[1287].speaker SPEAKER_01
transcript.pyannote[1287].start 8455.24971875
transcript.pyannote[1287].end 8455.97534375
transcript.pyannote[1288].speaker SPEAKER_01
transcript.pyannote[1288].start 8456.51534375
transcript.pyannote[1288].end 8457.59534375
transcript.pyannote[1289].speaker SPEAKER_01
transcript.pyannote[1289].start 8458.28721875
transcript.pyannote[1289].end 8460.04221875
transcript.pyannote[1290].speaker SPEAKER_01
transcript.pyannote[1290].start 8460.43034375
transcript.pyannote[1290].end 8461.89846875
transcript.pyannote[1291].speaker SPEAKER_01
transcript.pyannote[1291].start 8461.94909375
transcript.pyannote[1291].end 8463.01221875
transcript.pyannote[1292].speaker SPEAKER_01
transcript.pyannote[1292].start 8463.43409375
transcript.pyannote[1292].end 8464.07534375
transcript.pyannote[1293].speaker SPEAKER_01
transcript.pyannote[1293].start 8464.46346875
transcript.pyannote[1293].end 8464.80096875
transcript.pyannote[1294].speaker SPEAKER_01
transcript.pyannote[1294].start 8465.39159375
transcript.pyannote[1294].end 8465.57721875
transcript.pyannote[1295].speaker SPEAKER_03
transcript.pyannote[1295].start 8465.83034375
transcript.pyannote[1295].end 8472.34409375
transcript.pyannote[1296].speaker SPEAKER_03
transcript.pyannote[1296].start 8472.73221875
transcript.pyannote[1296].end 8476.15784375
transcript.pyannote[1297].speaker SPEAKER_03
transcript.pyannote[1297].start 8476.42784375
transcript.pyannote[1297].end 8480.12346875
transcript.pyannote[1298].speaker SPEAKER_03
transcript.pyannote[1298].start 8480.73096875
transcript.pyannote[1298].end 8484.69659375
transcript.pyannote[1299].speaker SPEAKER_03
transcript.pyannote[1299].start 8484.79784375
transcript.pyannote[1299].end 8492.44221875
transcript.pyannote[1300].speaker SPEAKER_01
transcript.pyannote[1300].start 8491.49721875
transcript.pyannote[1300].end 8492.56034375
transcript.pyannote[1301].speaker SPEAKER_01
transcript.pyannote[1301].start 8492.81346875
transcript.pyannote[1301].end 8498.82096875
transcript.pyannote[1302].speaker SPEAKER_03
transcript.pyannote[1302].start 8492.98221875
transcript.pyannote[1302].end 8493.48846875
transcript.pyannote[1303].speaker SPEAKER_01
transcript.pyannote[1303].start 8499.25971875
transcript.pyannote[1303].end 8500.28909375
transcript.pyannote[1304].speaker SPEAKER_01
transcript.pyannote[1304].start 8500.77846875
transcript.pyannote[1304].end 8501.47034375
transcript.pyannote[1305].speaker SPEAKER_01
transcript.pyannote[1305].start 8501.65596875
transcript.pyannote[1305].end 8502.43221875
transcript.pyannote[1306].speaker SPEAKER_01
transcript.pyannote[1306].start 8502.80346875
transcript.pyannote[1306].end 8503.63034375
transcript.pyannote[1307].speaker SPEAKER_01
transcript.pyannote[1307].start 8504.03534375
transcript.pyannote[1307].end 8505.35159375
transcript.pyannote[1308].speaker SPEAKER_01
transcript.pyannote[1308].start 8505.55409375
transcript.pyannote[1308].end 8506.93784375
transcript.pyannote[1309].speaker SPEAKER_01
transcript.pyannote[1309].start 8507.49471875
transcript.pyannote[1309].end 8508.89534375
transcript.pyannote[1310].speaker SPEAKER_01
transcript.pyannote[1310].start 8509.19909375
transcript.pyannote[1310].end 8510.22846875
transcript.pyannote[1311].speaker SPEAKER_01
transcript.pyannote[1311].start 8510.56596875
transcript.pyannote[1311].end 8511.94971875
transcript.pyannote[1312].speaker SPEAKER_01
transcript.pyannote[1312].start 8512.59096875
transcript.pyannote[1312].end 8513.36721875
transcript.pyannote[1313].speaker SPEAKER_01
transcript.pyannote[1313].start 8513.89034375
transcript.pyannote[1313].end 8515.62846875
transcript.pyannote[1314].speaker SPEAKER_01
transcript.pyannote[1314].start 8515.89846875
transcript.pyannote[1314].end 8518.22721875
transcript.pyannote[1315].speaker SPEAKER_01
transcript.pyannote[1315].start 8518.61534375
transcript.pyannote[1315].end 8519.66159375
transcript.pyannote[1316].speaker SPEAKER_01
transcript.pyannote[1316].start 8519.76284375
transcript.pyannote[1316].end 8521.09596875
transcript.pyannote[1317].speaker SPEAKER_01
transcript.pyannote[1317].start 8521.28159375
transcript.pyannote[1317].end 8522.73284375
transcript.pyannote[1318].speaker SPEAKER_01
transcript.pyannote[1318].start 8522.76659375
transcript.pyannote[1318].end 8522.83409375
transcript.pyannote[1319].speaker SPEAKER_19
transcript.pyannote[1319].start 8522.83409375
transcript.pyannote[1319].end 8523.54284375
transcript.pyannote[1320].speaker SPEAKER_01
transcript.pyannote[1320].start 8523.54284375
transcript.pyannote[1320].end 8523.82971875
transcript.pyannote[1321].speaker SPEAKER_01
transcript.pyannote[1321].start 8524.08284375
transcript.pyannote[1321].end 8526.02346875
transcript.pyannote[1322].speaker SPEAKER_01
transcript.pyannote[1322].start 8526.63096875
transcript.pyannote[1322].end 8529.21284375
transcript.pyannote[1323].speaker SPEAKER_01
transcript.pyannote[1323].start 8529.82034375
transcript.pyannote[1323].end 8532.04784375
transcript.pyannote[1324].speaker SPEAKER_01
transcript.pyannote[1324].start 8532.41909375
transcript.pyannote[1324].end 8534.46096875
transcript.pyannote[1325].speaker SPEAKER_01
transcript.pyannote[1325].start 8534.71409375
transcript.pyannote[1325].end 8538.44346875
transcript.pyannote[1326].speaker SPEAKER_01
transcript.pyannote[1326].start 8538.73034375
transcript.pyannote[1326].end 8540.63721875
transcript.pyannote[1327].speaker SPEAKER_01
transcript.pyannote[1327].start 8541.16034375
transcript.pyannote[1327].end 8542.69596875
transcript.pyannote[1328].speaker SPEAKER_01
transcript.pyannote[1328].start 8543.05034375
transcript.pyannote[1328].end 8544.41721875
transcript.pyannote[1329].speaker SPEAKER_01
transcript.pyannote[1329].start 8544.70409375
transcript.pyannote[1329].end 8546.12159375
transcript.pyannote[1330].speaker SPEAKER_01
transcript.pyannote[1330].start 8546.39159375
transcript.pyannote[1330].end 8547.47159375
transcript.pyannote[1331].speaker SPEAKER_01
transcript.pyannote[1331].start 8547.94409375
transcript.pyannote[1331].end 8551.55534375
transcript.pyannote[1332].speaker SPEAKER_01
transcript.pyannote[1332].start 8551.99409375
transcript.pyannote[1332].end 8555.97659375
transcript.pyannote[1333].speaker SPEAKER_01
transcript.pyannote[1333].start 8556.38159375
transcript.pyannote[1333].end 8557.10721875
transcript.pyannote[1334].speaker SPEAKER_01
transcript.pyannote[1334].start 8557.32659375
transcript.pyannote[1334].end 8559.70596875
transcript.pyannote[1335].speaker SPEAKER_01
transcript.pyannote[1335].start 8559.94221875
transcript.pyannote[1335].end 8563.68846875
transcript.pyannote[1336].speaker SPEAKER_01
transcript.pyannote[1336].start 8563.87409375
transcript.pyannote[1336].end 8565.03846875
transcript.pyannote[1337].speaker SPEAKER_01
transcript.pyannote[1337].start 8565.29159375
transcript.pyannote[1337].end 8567.18159375
transcript.pyannote[1338].speaker SPEAKER_01
transcript.pyannote[1338].start 8567.65409375
transcript.pyannote[1338].end 8568.71721875
transcript.pyannote[1339].speaker SPEAKER_01
transcript.pyannote[1339].start 8568.91971875
transcript.pyannote[1339].end 8570.43846875
transcript.pyannote[1340].speaker SPEAKER_01
transcript.pyannote[1340].start 8571.02909375
transcript.pyannote[1340].end 8572.58159375
transcript.pyannote[1341].speaker SPEAKER_01
transcript.pyannote[1341].start 8573.56034375
transcript.pyannote[1341].end 8574.28596875
transcript.pyannote[1342].speaker SPEAKER_01
transcript.pyannote[1342].start 8574.69096875
transcript.pyannote[1342].end 8578.08284375
transcript.pyannote[1343].speaker SPEAKER_01
transcript.pyannote[1343].start 8578.47096875
transcript.pyannote[1343].end 8579.90534375
transcript.pyannote[1344].speaker SPEAKER_01
transcript.pyannote[1344].start 8580.41159375
transcript.pyannote[1344].end 8580.90096875
transcript.pyannote[1345].speaker SPEAKER_01
transcript.pyannote[1345].start 8581.25534375
transcript.pyannote[1345].end 8582.06534375
transcript.pyannote[1346].speaker SPEAKER_01
transcript.pyannote[1346].start 8582.92596875
transcript.pyannote[1346].end 8584.02284375
transcript.pyannote[1347].speaker SPEAKER_01
transcript.pyannote[1347].start 8584.22534375
transcript.pyannote[1347].end 8585.54159375
transcript.pyannote[1348].speaker SPEAKER_01
transcript.pyannote[1348].start 8585.86221875
transcript.pyannote[1348].end 8587.22909375
transcript.pyannote[1349].speaker SPEAKER_01
transcript.pyannote[1349].start 8587.38096875
transcript.pyannote[1349].end 8588.79846875
transcript.pyannote[1350].speaker SPEAKER_01
transcript.pyannote[1350].start 8589.13596875
transcript.pyannote[1350].end 8590.45221875
transcript.pyannote[1351].speaker SPEAKER_01
transcript.pyannote[1351].start 8590.72221875
transcript.pyannote[1351].end 8596.78034375
transcript.pyannote[1352].speaker SPEAKER_01
transcript.pyannote[1352].start 8596.89846875
transcript.pyannote[1352].end 8599.29471875
transcript.pyannote[1353].speaker SPEAKER_01
transcript.pyannote[1353].start 8599.75034375
transcript.pyannote[1353].end 8600.64471875
transcript.pyannote[1354].speaker SPEAKER_01
transcript.pyannote[1354].start 8601.23534375
transcript.pyannote[1354].end 8602.61909375
transcript.pyannote[1355].speaker SPEAKER_01
transcript.pyannote[1355].start 8603.27721875
transcript.pyannote[1355].end 8603.51346875
transcript.pyannote[1356].speaker SPEAKER_01
transcript.pyannote[1356].start 8604.12096875
transcript.pyannote[1356].end 8604.93096875
transcript.pyannote[1357].speaker SPEAKER_01
transcript.pyannote[1357].start 8606.12909375
transcript.pyannote[1357].end 8606.71971875
transcript.pyannote[1358].speaker SPEAKER_01
transcript.pyannote[1358].start 8608.10346875
transcript.pyannote[1358].end 8609.63909375
transcript.pyannote[1359].speaker SPEAKER_01
transcript.pyannote[1359].start 8609.79096875
transcript.pyannote[1359].end 8611.69784375
transcript.pyannote[1360].speaker SPEAKER_01
transcript.pyannote[1360].start 8611.93409375
transcript.pyannote[1360].end 8617.14846875
transcript.pyannote[1361].speaker SPEAKER_01
transcript.pyannote[1361].start 8617.50284375
transcript.pyannote[1361].end 8618.93721875
transcript.pyannote[1362].speaker SPEAKER_01
transcript.pyannote[1362].start 8619.24096875
transcript.pyannote[1362].end 8619.57846875
transcript.pyannote[1363].speaker SPEAKER_01
transcript.pyannote[1363].start 8619.81471875
transcript.pyannote[1363].end 8620.28721875
transcript.pyannote[1364].speaker SPEAKER_01
transcript.pyannote[1364].start 8620.57409375
transcript.pyannote[1364].end 8621.70471875
transcript.pyannote[1365].speaker SPEAKER_01
transcript.pyannote[1365].start 8622.63284375
transcript.pyannote[1365].end 8623.88159375
transcript.pyannote[1366].speaker SPEAKER_01
transcript.pyannote[1366].start 8624.16846875
transcript.pyannote[1366].end 8624.70846875
transcript.pyannote[1367].speaker SPEAKER_01
transcript.pyannote[1367].start 8625.18096875
transcript.pyannote[1367].end 8625.78846875
transcript.pyannote[1368].speaker SPEAKER_01
transcript.pyannote[1368].start 8626.22721875
transcript.pyannote[1368].end 8627.00346875
transcript.pyannote[1369].speaker SPEAKER_01
transcript.pyannote[1369].start 8627.94846875
transcript.pyannote[1369].end 8627.96534375
transcript.pyannote[1370].speaker SPEAKER_04
transcript.pyannote[1370].start 8627.96534375
transcript.pyannote[1370].end 8628.79221875
transcript.pyannote[1371].speaker SPEAKER_04
transcript.pyannote[1371].start 8628.94409375
transcript.pyannote[1371].end 8629.36596875
transcript.pyannote[1372].speaker SPEAKER_04
transcript.pyannote[1372].start 8629.70346875
transcript.pyannote[1372].end 8633.90534375
transcript.pyannote[1373].speaker SPEAKER_01
transcript.pyannote[1373].start 8629.99034375
transcript.pyannote[1373].end 8630.76659375
transcript.pyannote[1374].speaker SPEAKER_01
transcript.pyannote[1374].start 8633.39909375
transcript.pyannote[1374].end 8633.73659375
transcript.pyannote[1375].speaker SPEAKER_01
transcript.pyannote[1375].start 8634.04034375
transcript.pyannote[1375].end 8635.66034375
transcript.pyannote[1376].speaker SPEAKER_04
transcript.pyannote[1376].start 8634.52971875
transcript.pyannote[1376].end 8635.72784375
transcript.pyannote[1377].speaker SPEAKER_04
transcript.pyannote[1377].start 8635.98096875
transcript.pyannote[1377].end 8636.03159375
transcript.pyannote[1378].speaker SPEAKER_01
transcript.pyannote[1378].start 8636.03159375
transcript.pyannote[1378].end 8637.92159375
transcript.pyannote[1379].speaker SPEAKER_04
transcript.pyannote[1379].start 8636.36909375
transcript.pyannote[1379].end 8636.89221875
transcript.pyannote[1380].speaker SPEAKER_04
transcript.pyannote[1380].start 8637.34784375
transcript.pyannote[1380].end 8637.41534375
transcript.pyannote[1381].speaker SPEAKER_01
transcript.pyannote[1381].start 8638.41096875
transcript.pyannote[1381].end 8639.06909375
transcript.pyannote[1382].speaker SPEAKER_01
transcript.pyannote[1382].start 8639.52471875
transcript.pyannote[1382].end 8640.18284375
transcript.pyannote[1383].speaker SPEAKER_01
transcript.pyannote[1383].start 8640.36846875
transcript.pyannote[1383].end 8641.97159375
transcript.pyannote[1384].speaker SPEAKER_01
transcript.pyannote[1384].start 8642.32596875
transcript.pyannote[1384].end 8643.89534375
transcript.pyannote[1385].speaker SPEAKER_01
transcript.pyannote[1385].start 8644.19909375
transcript.pyannote[1385].end 8645.07659375
transcript.pyannote[1386].speaker SPEAKER_01
transcript.pyannote[1386].start 8645.58284375
transcript.pyannote[1386].end 8646.47721875
transcript.pyannote[1387].speaker SPEAKER_01
transcript.pyannote[1387].start 8647.01721875
transcript.pyannote[1387].end 8647.62471875
transcript.pyannote[1388].speaker SPEAKER_01
transcript.pyannote[1388].start 8648.09721875
transcript.pyannote[1388].end 8649.80159375
transcript.pyannote[1389].speaker SPEAKER_01
transcript.pyannote[1389].start 8650.13909375
transcript.pyannote[1389].end 8650.56096875
transcript.pyannote[1390].speaker SPEAKER_01
transcript.pyannote[1390].start 8650.99971875
transcript.pyannote[1390].end 8651.57346875
transcript.pyannote[1391].speaker SPEAKER_01
transcript.pyannote[1391].start 8651.91096875
transcript.pyannote[1391].end 8653.24409375
transcript.pyannote[1392].speaker SPEAKER_01
transcript.pyannote[1392].start 8653.56471875
transcript.pyannote[1392].end 8654.79659375
transcript.pyannote[1393].speaker SPEAKER_01
transcript.pyannote[1393].start 8655.16784375
transcript.pyannote[1393].end 8657.31096875
transcript.pyannote[1394].speaker SPEAKER_01
transcript.pyannote[1394].start 8657.66534375
transcript.pyannote[1394].end 8658.47534375
transcript.pyannote[1395].speaker SPEAKER_01
transcript.pyannote[1395].start 8658.81284375
transcript.pyannote[1395].end 8660.55096875
transcript.pyannote[1396].speaker SPEAKER_01
transcript.pyannote[1396].start 8661.44534375
transcript.pyannote[1396].end 8664.09471875
transcript.pyannote[1397].speaker SPEAKER_04
transcript.pyannote[1397].start 8664.09471875
transcript.pyannote[1397].end 8673.37596875
transcript.pyannote[1398].speaker SPEAKER_01
transcript.pyannote[1398].start 8668.58346875
transcript.pyannote[1398].end 8668.97159375
transcript.pyannote[1399].speaker SPEAKER_19
transcript.pyannote[1399].start 8668.97159375
transcript.pyannote[1399].end 8669.44409375
transcript.pyannote[1400].speaker SPEAKER_19
transcript.pyannote[1400].start 8670.96284375
transcript.pyannote[1400].end 8673.61221875
transcript.pyannote[1401].speaker SPEAKER_04
transcript.pyannote[1401].start 8673.61221875
transcript.pyannote[1401].end 8687.60159375
transcript.pyannote[1402].speaker SPEAKER_01
transcript.pyannote[1402].start 8687.14596875
transcript.pyannote[1402].end 8688.42846875
transcript.pyannote[1403].speaker SPEAKER_01
transcript.pyannote[1403].start 8688.93471875
transcript.pyannote[1403].end 8694.16596875
transcript.pyannote[1404].speaker SPEAKER_11
transcript.pyannote[1404].start 8693.96346875
transcript.pyannote[1404].end 8706.45096875
transcript.pyannote[1405].speaker SPEAKER_01
transcript.pyannote[1405].start 8698.95846875
transcript.pyannote[1405].end 8700.64596875
transcript.pyannote[1406].speaker SPEAKER_01
transcript.pyannote[1406].start 8705.18534375
transcript.pyannote[1406].end 8706.23159375
transcript.pyannote[1407].speaker SPEAKER_01
transcript.pyannote[1407].start 8706.45096875
transcript.pyannote[1407].end 8706.56909375
transcript.pyannote[1408].speaker SPEAKER_11
transcript.pyannote[1408].start 8706.56909375
transcript.pyannote[1408].end 8712.50909375
transcript.pyannote[1409].speaker SPEAKER_01
transcript.pyannote[1409].start 8706.61971875
transcript.pyannote[1409].end 8706.92346875
transcript.pyannote[1410].speaker SPEAKER_01
transcript.pyannote[1410].start 8708.13846875
transcript.pyannote[1410].end 8708.15534375
transcript.pyannote[1411].speaker SPEAKER_01
transcript.pyannote[1411].start 8708.17221875
transcript.pyannote[1411].end 8708.79659375
transcript.pyannote[1412].speaker SPEAKER_01
transcript.pyannote[1412].start 8708.83034375
transcript.pyannote[1412].end 8708.93159375
transcript.pyannote[1413].speaker SPEAKER_01
transcript.pyannote[1413].start 8709.10034375
transcript.pyannote[1413].end 8709.92721875
transcript.pyannote[1414].speaker SPEAKER_01
transcript.pyannote[1414].start 8710.02846875
transcript.pyannote[1414].end 8710.19721875
transcript.pyannote[1415].speaker SPEAKER_01
transcript.pyannote[1415].start 8712.39096875
transcript.pyannote[1415].end 8712.91409375
transcript.pyannote[1416].speaker SPEAKER_01
transcript.pyannote[1416].start 8713.06596875
transcript.pyannote[1416].end 8714.90534375
transcript.pyannote[1417].speaker SPEAKER_11
transcript.pyannote[1417].start 8713.57221875
transcript.pyannote[1417].end 8714.14596875
transcript.pyannote[1418].speaker SPEAKER_01
transcript.pyannote[1418].start 8715.20909375
transcript.pyannote[1418].end 8722.19534375
transcript.pyannote[1419].speaker SPEAKER_01
transcript.pyannote[1419].start 8722.85346875
transcript.pyannote[1419].end 8724.79409375
transcript.pyannote[1420].speaker SPEAKER_01
transcript.pyannote[1420].start 8725.30034375
transcript.pyannote[1420].end 8727.44346875
transcript.pyannote[1421].speaker SPEAKER_01
transcript.pyannote[1421].start 8727.62909375
transcript.pyannote[1421].end 8729.26596875
transcript.pyannote[1422].speaker SPEAKER_01
transcript.pyannote[1422].start 8730.19409375
transcript.pyannote[1422].end 8731.54409375
transcript.pyannote[1423].speaker SPEAKER_01
transcript.pyannote[1423].start 8731.91534375
transcript.pyannote[1423].end 8733.04596875
transcript.pyannote[1424].speaker SPEAKER_01
transcript.pyannote[1424].start 8733.33284375
transcript.pyannote[1424].end 8734.66596875
transcript.pyannote[1425].speaker SPEAKER_01
transcript.pyannote[1425].start 8735.03721875
transcript.pyannote[1425].end 8735.56034375
transcript.pyannote[1426].speaker SPEAKER_01
transcript.pyannote[1426].start 8736.26909375
transcript.pyannote[1426].end 8737.07909375
transcript.pyannote[1427].speaker SPEAKER_01
transcript.pyannote[1427].start 8737.39971875
transcript.pyannote[1427].end 8737.72034375
transcript.pyannote[1428].speaker SPEAKER_01
transcript.pyannote[1428].start 8738.20971875
transcript.pyannote[1428].end 8739.54284375
transcript.pyannote[1429].speaker SPEAKER_18
transcript.pyannote[1429].start 8739.79596875
transcript.pyannote[1429].end 8739.84659375
transcript.pyannote[1430].speaker SPEAKER_13
transcript.pyannote[1430].start 8739.84659375
transcript.pyannote[1430].end 8740.01534375
transcript.pyannote[1431].speaker SPEAKER_18
transcript.pyannote[1431].start 8740.01534375
transcript.pyannote[1431].end 8740.50471875
transcript.pyannote[1432].speaker SPEAKER_13
transcript.pyannote[1432].start 8741.26409375
transcript.pyannote[1432].end 8745.92159375
transcript.pyannote[1433].speaker SPEAKER_13
transcript.pyannote[1433].start 9353.52284375
transcript.pyannote[1433].end 9356.40846875
transcript.pyannote[1434].speaker SPEAKER_13
transcript.pyannote[1434].start 9356.66159375
transcript.pyannote[1434].end 9358.61909375
transcript.pyannote[1435].speaker SPEAKER_20
transcript.pyannote[1435].start 9363.52971875
transcript.pyannote[1435].end 9370.43159375
transcript.pyannote[1436].speaker SPEAKER_13
transcript.pyannote[1436].start 9370.43159375
transcript.pyannote[1436].end 9372.28784375
transcript.pyannote[1437].speaker SPEAKER_13
transcript.pyannote[1437].start 9373.77284375
transcript.pyannote[1437].end 9374.41409375
transcript.pyannote[1438].speaker SPEAKER_20
transcript.pyannote[1438].start 9375.02159375
transcript.pyannote[1438].end 9388.40346875
transcript.pyannote[1439].speaker SPEAKER_20
transcript.pyannote[1439].start 9389.09534375
transcript.pyannote[1439].end 9422.44034375
transcript.pyannote[1440].speaker SPEAKER_20
transcript.pyannote[1440].start 9423.28409375
transcript.pyannote[1440].end 9426.77721875
transcript.pyannote[1441].speaker SPEAKER_20
transcript.pyannote[1441].start 9427.14846875
transcript.pyannote[1441].end 9446.63909375
transcript.pyannote[1442].speaker SPEAKER_20
transcript.pyannote[1442].start 9447.93846875
transcript.pyannote[1442].end 9447.95534375
transcript.pyannote[1443].speaker SPEAKER_18
transcript.pyannote[1443].start 9447.95534375
transcript.pyannote[1443].end 9448.68096875
transcript.pyannote[1444].speaker SPEAKER_20
transcript.pyannote[1444].start 9448.68096875
transcript.pyannote[1444].end 9448.69784375
transcript.pyannote[1445].speaker SPEAKER_03
transcript.pyannote[1445].start 9449.06909375
transcript.pyannote[1445].end 9452.74784375
transcript.pyannote[1446].speaker SPEAKER_20
transcript.pyannote[1446].start 9453.65909375
transcript.pyannote[1446].end 9466.09596875
transcript.pyannote[1447].speaker SPEAKER_19
transcript.pyannote[1447].start 9460.45971875
transcript.pyannote[1447].end 9460.47659375
transcript.pyannote[1448].speaker SPEAKER_03
transcript.pyannote[1448].start 9460.47659375
transcript.pyannote[1448].end 9460.76346875
transcript.pyannote[1449].speaker SPEAKER_19
transcript.pyannote[1449].start 9460.76346875
transcript.pyannote[1449].end 9460.86471875
transcript.pyannote[1450].speaker SPEAKER_19
transcript.pyannote[1450].start 9462.18096875
transcript.pyannote[1450].end 9462.34971875
transcript.pyannote[1451].speaker SPEAKER_19
transcript.pyannote[1451].start 9462.36659375
transcript.pyannote[1451].end 9462.55221875
transcript.pyannote[1452].speaker SPEAKER_19
transcript.pyannote[1452].start 9464.88096875
transcript.pyannote[1452].end 9465.97784375
transcript.pyannote[1453].speaker SPEAKER_03
transcript.pyannote[1453].start 9465.97784375
transcript.pyannote[1453].end 9466.07909375
transcript.pyannote[1454].speaker SPEAKER_03
transcript.pyannote[1454].start 9466.09596875
transcript.pyannote[1454].end 9466.58534375
transcript.pyannote[1455].speaker SPEAKER_20
transcript.pyannote[1455].start 9466.58534375
transcript.pyannote[1455].end 9473.20034375
transcript.pyannote[1456].speaker SPEAKER_19
transcript.pyannote[1456].start 9466.60221875
transcript.pyannote[1456].end 9466.61909375
transcript.pyannote[1457].speaker SPEAKER_03
transcript.pyannote[1457].start 9466.61909375
transcript.pyannote[1457].end 9466.63596875
transcript.pyannote[1458].speaker SPEAKER_20
transcript.pyannote[1458].start 9477.90846875
transcript.pyannote[1458].end 9480.65909375
transcript.pyannote[1459].speaker SPEAKER_07
transcript.pyannote[1459].start 9481.53659375
transcript.pyannote[1459].end 9482.02596875
transcript.pyannote[1460].speaker SPEAKER_20
transcript.pyannote[1460].start 9482.48159375
transcript.pyannote[1460].end 9483.57846875
transcript.pyannote[1461].speaker SPEAKER_20
transcript.pyannote[1461].start 9484.06784375
transcript.pyannote[1461].end 9484.52346875
transcript.pyannote[1462].speaker SPEAKER_07
transcript.pyannote[1462].start 9484.18596875
transcript.pyannote[1462].end 9485.04659375
transcript.pyannote[1463].speaker SPEAKER_20
transcript.pyannote[1463].start 9484.99596875
transcript.pyannote[1463].end 9488.01659375
transcript.pyannote[1464].speaker SPEAKER_07
transcript.pyannote[1464].start 9489.07971875
transcript.pyannote[1464].end 9490.88534375
transcript.pyannote[1465].speaker SPEAKER_20
transcript.pyannote[1465].start 9489.21471875
transcript.pyannote[1465].end 9489.60284375
transcript.pyannote[1466].speaker SPEAKER_20
transcript.pyannote[1466].start 9491.15534375
transcript.pyannote[1466].end 9495.27284375
transcript.pyannote[1467].speaker SPEAKER_07
transcript.pyannote[1467].start 9495.27284375
transcript.pyannote[1467].end 9495.62721875
transcript.pyannote[1468].speaker SPEAKER_20
transcript.pyannote[1468].start 9495.62721875
transcript.pyannote[1468].end 9495.64409375
transcript.pyannote[1469].speaker SPEAKER_20
transcript.pyannote[1469].start 9495.67784375
transcript.pyannote[1469].end 9508.57034375
transcript.pyannote[1470].speaker SPEAKER_20
transcript.pyannote[1470].start 9508.89096875
transcript.pyannote[1470].end 9522.01971875
transcript.pyannote[1471].speaker SPEAKER_20
transcript.pyannote[1471].start 9522.49221875
transcript.pyannote[1471].end 9530.65971875
transcript.pyannote[1472].speaker SPEAKER_00
transcript.pyannote[1472].start 9522.64409375
transcript.pyannote[1472].end 9522.67784375
transcript.pyannote[1473].speaker SPEAKER_19
transcript.pyannote[1473].start 9522.67784375
transcript.pyannote[1473].end 9522.93096875
transcript.pyannote[1474].speaker SPEAKER_19
transcript.pyannote[1474].start 9530.79471875
transcript.pyannote[1474].end 9531.16596875
transcript.pyannote[1475].speaker SPEAKER_20
transcript.pyannote[1475].start 9531.04784375
transcript.pyannote[1475].end 9551.78721875
transcript.pyannote[1476].speaker SPEAKER_00
transcript.pyannote[1476].start 9546.87659375
transcript.pyannote[1476].end 9546.99471875
transcript.pyannote[1477].speaker SPEAKER_20
transcript.pyannote[1477].start 9552.27659375
transcript.pyannote[1477].end 9557.42346875
transcript.pyannote[1478].speaker SPEAKER_11
transcript.pyannote[1478].start 9557.99721875
transcript.pyannote[1478].end 9590.07659375
transcript.pyannote[1479].speaker SPEAKER_00
transcript.pyannote[1479].start 9567.71721875
transcript.pyannote[1479].end 9568.08846875
transcript.pyannote[1480].speaker SPEAKER_20
transcript.pyannote[1480].start 9589.85721875
transcript.pyannote[1480].end 9610.68096875
transcript.pyannote[1481].speaker SPEAKER_11
transcript.pyannote[1481].start 9596.42159375
transcript.pyannote[1481].end 9596.96159375
transcript.pyannote[1482].speaker SPEAKER_10
transcript.pyannote[1482].start 9609.01034375
transcript.pyannote[1482].end 9614.35971875
transcript.pyannote[1483].speaker SPEAKER_20
transcript.pyannote[1483].start 9611.87909375
transcript.pyannote[1483].end 9612.99284375
transcript.pyannote[1484].speaker SPEAKER_20
transcript.pyannote[1484].start 9613.56659375
transcript.pyannote[1484].end 9622.52721875
transcript.pyannote[1485].speaker SPEAKER_20
transcript.pyannote[1485].start 9622.83096875
transcript.pyannote[1485].end 9632.73659375
transcript.pyannote[1486].speaker SPEAKER_20
transcript.pyannote[1486].start 9633.02346875
transcript.pyannote[1486].end 9636.88784375
transcript.pyannote[1487].speaker SPEAKER_11
transcript.pyannote[1487].start 9636.88784375
transcript.pyannote[1487].end 9645.51096875
transcript.pyannote[1488].speaker SPEAKER_11
transcript.pyannote[1488].start 9645.89909375
transcript.pyannote[1488].end 9646.96221875
transcript.pyannote[1489].speaker SPEAKER_20
transcript.pyannote[1489].start 9645.98346875
transcript.pyannote[1489].end 9680.29034375
transcript.pyannote[1490].speaker SPEAKER_20
transcript.pyannote[1490].start 9680.30721875
transcript.pyannote[1490].end 9689.97659375
transcript.pyannote[1491].speaker SPEAKER_20
transcript.pyannote[1491].start 9689.99346875
transcript.pyannote[1491].end 9690.02721875
transcript.pyannote[1492].speaker SPEAKER_20
transcript.pyannote[1492].start 9690.06096875
transcript.pyannote[1492].end 9690.58409375
transcript.pyannote[1493].speaker SPEAKER_20
transcript.pyannote[1493].start 9690.93846875
transcript.pyannote[1493].end 9693.01409375
transcript.pyannote[1494].speaker SPEAKER_20
transcript.pyannote[1494].start 9693.43596875
transcript.pyannote[1494].end 9696.74346875
transcript.pyannote[1495].speaker SPEAKER_11
transcript.pyannote[1495].start 9698.31284375
transcript.pyannote[1495].end 9701.02971875
transcript.pyannote[1496].speaker SPEAKER_03
transcript.pyannote[1496].start 9702.34596875
transcript.pyannote[1496].end 9714.04034375
transcript.pyannote[1497].speaker SPEAKER_03
transcript.pyannote[1497].start 9714.47909375
transcript.pyannote[1497].end 9716.40284375
transcript.pyannote[1498].speaker SPEAKER_03
transcript.pyannote[1498].start 9717.19596875
transcript.pyannote[1498].end 9740.93909375
transcript.pyannote[1499].speaker SPEAKER_20
transcript.pyannote[1499].start 9741.37784375
transcript.pyannote[1499].end 9751.40159375
transcript.pyannote[1500].speaker SPEAKER_18
transcript.pyannote[1500].start 9752.80221875
transcript.pyannote[1500].end 9753.84846875
transcript.pyannote[1501].speaker SPEAKER_18
transcript.pyannote[1501].start 9754.10159375
transcript.pyannote[1501].end 9754.89471875
transcript.pyannote[1502].speaker SPEAKER_20
transcript.pyannote[1502].start 9754.33784375
transcript.pyannote[1502].end 9770.57159375
transcript.pyannote[1503].speaker SPEAKER_20
transcript.pyannote[1503].start 9770.90909375
transcript.pyannote[1503].end 9774.95909375
transcript.pyannote[1504].speaker SPEAKER_20
transcript.pyannote[1504].start 9774.99284375
transcript.pyannote[1504].end 9779.07659375
transcript.pyannote[1505].speaker SPEAKER_11
transcript.pyannote[1505].start 9776.27534375
transcript.pyannote[1505].end 9785.15159375
transcript.pyannote[1506].speaker SPEAKER_20
transcript.pyannote[1506].start 9785.25284375
transcript.pyannote[1506].end 9788.22284375
transcript.pyannote[1507].speaker SPEAKER_20
transcript.pyannote[1507].start 9788.30721875
transcript.pyannote[1507].end 9794.61846875
transcript.pyannote[1508].speaker SPEAKER_20
transcript.pyannote[1508].start 9794.97284375
transcript.pyannote[1508].end 9798.70221875
transcript.pyannote[1509].speaker SPEAKER_11
transcript.pyannote[1509].start 9800.18721875
transcript.pyannote[1509].end 9813.45096875
transcript.pyannote[1510].speaker SPEAKER_15
transcript.pyannote[1510].start 9805.65471875
transcript.pyannote[1510].end 9806.39721875
transcript.pyannote[1511].speaker SPEAKER_20
transcript.pyannote[1511].start 9813.55221875
transcript.pyannote[1511].end 9820.03221875
transcript.pyannote[1512].speaker SPEAKER_11
transcript.pyannote[1512].start 9820.03221875
transcript.pyannote[1512].end 9831.35534375
transcript.pyannote[1513].speaker SPEAKER_11
transcript.pyannote[1513].start 9834.34221875
transcript.pyannote[1513].end 9843.18471875
transcript.pyannote[1514].speaker SPEAKER_11
transcript.pyannote[1514].start 9843.38721875
transcript.pyannote[1514].end 9852.98909375
transcript.pyannote[1515].speaker SPEAKER_20
transcript.pyannote[1515].start 9853.10721875
transcript.pyannote[1515].end 9855.01409375
transcript.pyannote[1516].speaker SPEAKER_03
transcript.pyannote[1516].start 9857.54534375
transcript.pyannote[1516].end 9864.00846875
transcript.pyannote[1517].speaker SPEAKER_20
transcript.pyannote[1517].start 9863.43471875
transcript.pyannote[1517].end 9865.20659375
transcript.pyannote[1518].speaker SPEAKER_03
transcript.pyannote[1518].start 9865.07159375
transcript.pyannote[1518].end 9865.94909375
transcript.pyannote[1519].speaker SPEAKER_20
transcript.pyannote[1519].start 9865.61159375
transcript.pyannote[1519].end 9887.46471875
transcript.pyannote[1520].speaker SPEAKER_11
transcript.pyannote[1520].start 9889.77659375
transcript.pyannote[1520].end 9923.23971875
transcript.pyannote[1521].speaker SPEAKER_20
transcript.pyannote[1521].start 9923.74596875
transcript.pyannote[1521].end 9944.09721875
transcript.pyannote[1522].speaker SPEAKER_11
transcript.pyannote[1522].start 9946.07159375
transcript.pyannote[1522].end 9983.06159375
transcript.pyannote[1523].speaker SPEAKER_00
transcript.pyannote[1523].start 9970.28721875
transcript.pyannote[1523].end 9970.99596875
transcript.pyannote[1524].speaker SPEAKER_20
transcript.pyannote[1524].start 9983.53409375
transcript.pyannote[1524].end 9994.78971875
transcript.pyannote[1525].speaker SPEAKER_11
transcript.pyannote[1525].start 9996.08909375
transcript.pyannote[1525].end 10007.74971875
transcript.pyannote[1526].speaker SPEAKER_11
transcript.pyannote[1526].start 10008.01971875
transcript.pyannote[1526].end 10008.12096875
transcript.pyannote[1527].speaker SPEAKER_20
transcript.pyannote[1527].start 10008.17159375
transcript.pyannote[1527].end 10018.73534375
transcript.pyannote[1528].speaker SPEAKER_13
transcript.pyannote[1528].start 10019.24159375
transcript.pyannote[1528].end 10019.79846875
transcript.pyannote[1529].speaker SPEAKER_20
transcript.pyannote[1529].start 10019.64659375
transcript.pyannote[1529].end 10021.53659375
transcript.pyannote[1530].speaker SPEAKER_13
transcript.pyannote[1530].start 10022.41409375
transcript.pyannote[1530].end 10026.31221875
transcript.pyannote[1531].speaker SPEAKER_20
transcript.pyannote[1531].start 10036.94346875
transcript.pyannote[1531].end 10042.12409375
transcript.pyannote[1532].speaker SPEAKER_13
transcript.pyannote[1532].start 10047.27096875
transcript.pyannote[1532].end 10049.16096875
transcript.pyannote[1533].speaker SPEAKER_13
transcript.pyannote[1533].start 10049.65034375
transcript.pyannote[1533].end 10052.26596875
transcript.pyannote[1534].speaker SPEAKER_13
transcript.pyannote[1534].start 10052.60346875
transcript.pyannote[1534].end 10054.30784375
transcript.pyannote[1535].speaker SPEAKER_13
transcript.pyannote[1535].start 10054.69596875
transcript.pyannote[1535].end 10058.66159375
transcript.pyannote[1536].speaker SPEAKER_20
transcript.pyannote[1536].start 10059.10034375
transcript.pyannote[1536].end 10061.76659375
transcript.pyannote[1537].speaker SPEAKER_13
transcript.pyannote[1537].start 10064.73659375
transcript.pyannote[1537].end 10070.23784375
transcript.pyannote[1538].speaker SPEAKER_13
transcript.pyannote[1538].start 10070.54159375
transcript.pyannote[1538].end 10110.28221875
transcript.pyannote[1539].speaker SPEAKER_13
transcript.pyannote[1539].start 10110.68721875
transcript.pyannote[1539].end 10115.34471875
transcript.pyannote[1540].speaker SPEAKER_13
transcript.pyannote[1540].start 10116.15471875
transcript.pyannote[1540].end 10118.65221875
transcript.pyannote[1541].speaker SPEAKER_13
transcript.pyannote[1541].start 10119.09096875
transcript.pyannote[1541].end 10120.35659375
transcript.pyannote[1542].speaker SPEAKER_13
transcript.pyannote[1542].start 10121.04846875
transcript.pyannote[1542].end 10125.28409375
transcript.pyannote[1543].speaker SPEAKER_13
transcript.pyannote[1543].start 10125.75659375
transcript.pyannote[1543].end 10129.19909375
transcript.pyannote[1544].speaker SPEAKER_13
transcript.pyannote[1544].start 10129.30034375
transcript.pyannote[1544].end 10136.37096875
transcript.pyannote[1545].speaker SPEAKER_13
transcript.pyannote[1545].start 10137.97409375
transcript.pyannote[1545].end 10139.83034375
transcript.pyannote[1546].speaker SPEAKER_03
transcript.pyannote[1546].start 10140.21846875
transcript.pyannote[1546].end 10141.02846875
transcript.pyannote[1547].speaker SPEAKER_03
transcript.pyannote[1547].start 10141.16346875
transcript.pyannote[1547].end 10143.72846875
transcript.pyannote[1548].speaker SPEAKER_13
transcript.pyannote[1548].start 10144.11659375
transcript.pyannote[1548].end 10146.95159375
transcript.pyannote[1549].speaker SPEAKER_13
transcript.pyannote[1549].start 10148.21721875
transcript.pyannote[1549].end 10150.12409375
transcript.pyannote[1550].speaker SPEAKER_13
transcript.pyannote[1550].start 10152.06471875
transcript.pyannote[1550].end 10162.62846875
transcript.pyannote[1551].speaker SPEAKER_13
transcript.pyannote[1551].start 10163.32034375
transcript.pyannote[1551].end 10168.61909375
transcript.pyannote[1552].speaker SPEAKER_13
transcript.pyannote[1552].start 10169.56409375
transcript.pyannote[1552].end 10172.51721875
transcript.pyannote[1553].speaker SPEAKER_13
transcript.pyannote[1553].start 10173.22596875
transcript.pyannote[1553].end 10174.03596875
transcript.pyannote[1554].speaker SPEAKER_13
transcript.pyannote[1554].start 10174.49159375
transcript.pyannote[1554].end 10174.87971875
transcript.pyannote[1555].speaker SPEAKER_13
transcript.pyannote[1555].start 10175.55471875
transcript.pyannote[1555].end 10176.73596875
transcript.pyannote[1556].speaker SPEAKER_13
transcript.pyannote[1556].start 10176.87096875
transcript.pyannote[1556].end 10178.03534375
transcript.pyannote[1557].speaker SPEAKER_13
transcript.pyannote[1557].start 10178.30534375
transcript.pyannote[1557].end 10179.99284375
transcript.pyannote[1558].speaker SPEAKER_13
transcript.pyannote[1558].start 10180.31346875
transcript.pyannote[1558].end 10187.16471875
transcript.pyannote[1559].speaker SPEAKER_13
transcript.pyannote[1559].start 10188.41346875
transcript.pyannote[1559].end 10191.53534375
transcript.pyannote[1560].speaker SPEAKER_16
transcript.pyannote[1560].start 10191.55221875
transcript.pyannote[1560].end 10191.85596875
transcript.pyannote[1561].speaker SPEAKER_16
transcript.pyannote[1561].start 10192.09221875
transcript.pyannote[1561].end 10192.61534375
transcript.pyannote[1562].speaker SPEAKER_16
transcript.pyannote[1562].start 10192.98659375
transcript.pyannote[1562].end 10194.33659375
transcript.pyannote[1563].speaker SPEAKER_16
transcript.pyannote[1563].start 10194.67409375
transcript.pyannote[1563].end 10196.29409375
transcript.pyannote[1564].speaker SPEAKER_16
transcript.pyannote[1564].start 10196.51346875
transcript.pyannote[1564].end 10201.01909375
transcript.pyannote[1565].speaker SPEAKER_16
transcript.pyannote[1565].start 10201.08659375
transcript.pyannote[1565].end 10204.19159375
transcript.pyannote[1566].speaker SPEAKER_16
transcript.pyannote[1566].start 10204.44471875
transcript.pyannote[1566].end 10276.97346875
transcript.pyannote[1567].speaker SPEAKER_00
transcript.pyannote[1567].start 10207.29659375
transcript.pyannote[1567].end 10207.61721875
transcript.pyannote[1568].speaker SPEAKER_13
transcript.pyannote[1568].start 10276.97346875
transcript.pyannote[1568].end 10281.54659375
transcript.pyannote[1569].speaker SPEAKER_13
transcript.pyannote[1569].start 10281.83346875
transcript.pyannote[1569].end 10288.02659375
transcript.pyannote[1570].speaker SPEAKER_13
transcript.pyannote[1570].start 10288.71846875
transcript.pyannote[1570].end 10294.21971875
transcript.pyannote[1571].speaker SPEAKER_13
transcript.pyannote[1571].start 10294.38846875
transcript.pyannote[1571].end 10300.26096875
transcript.pyannote[1572].speaker SPEAKER_13
transcript.pyannote[1572].start 10301.07096875
transcript.pyannote[1572].end 10323.64971875
transcript.pyannote[1573].speaker SPEAKER_13
transcript.pyannote[1573].start 10324.91534375
transcript.pyannote[1573].end 10333.26846875
transcript.pyannote[1574].speaker SPEAKER_13
transcript.pyannote[1574].start 10333.96034375
transcript.pyannote[1574].end 10347.34221875
transcript.pyannote[1575].speaker SPEAKER_13
transcript.pyannote[1575].start 10347.74721875
transcript.pyannote[1575].end 10349.75534375
transcript.pyannote[1576].speaker SPEAKER_13
transcript.pyannote[1576].start 10350.39659375
transcript.pyannote[1576].end 10360.92659375
transcript.pyannote[1577].speaker SPEAKER_13
transcript.pyannote[1577].start 10361.53409375
transcript.pyannote[1577].end 10365.48284375
transcript.pyannote[1578].speaker SPEAKER_13
transcript.pyannote[1578].start 10366.05659375
transcript.pyannote[1578].end 10375.06784375
transcript.pyannote[1579].speaker SPEAKER_13
transcript.pyannote[1579].start 10375.72596875
transcript.pyannote[1579].end 10387.69034375
transcript.pyannote[1580].speaker SPEAKER_13
transcript.pyannote[1580].start 10387.94346875
transcript.pyannote[1580].end 10404.95346875
transcript.pyannote[1581].speaker SPEAKER_13
transcript.pyannote[1581].start 10405.67909375
transcript.pyannote[1581].end 10409.61096875
transcript.pyannote[1582].speaker SPEAKER_13
transcript.pyannote[1582].start 10410.18471875
transcript.pyannote[1582].end 10412.15909375
transcript.pyannote[1583].speaker SPEAKER_13
transcript.pyannote[1583].start 10412.68221875
transcript.pyannote[1583].end 10416.61409375
transcript.pyannote[1584].speaker SPEAKER_13
transcript.pyannote[1584].start 10417.49159375
transcript.pyannote[1584].end 10421.87909375
transcript.pyannote[1585].speaker SPEAKER_13
transcript.pyannote[1585].start 10422.06471875
transcript.pyannote[1585].end 10438.29846875
transcript.pyannote[1586].speaker SPEAKER_11
transcript.pyannote[1586].start 10439.69909375
transcript.pyannote[1586].end 10453.03034375
transcript.pyannote[1587].speaker SPEAKER_11
transcript.pyannote[1587].start 10453.70534375
transcript.pyannote[1587].end 10454.07659375
transcript.pyannote[1588].speaker SPEAKER_11
transcript.pyannote[1588].start 10454.26221875
transcript.pyannote[1588].end 10495.21784375
transcript.pyannote[1589].speaker SPEAKER_13
transcript.pyannote[1589].start 10495.21784375
transcript.pyannote[1589].end 10513.12221875
transcript.pyannote[1590].speaker SPEAKER_13
transcript.pyannote[1590].start 10513.79721875
transcript.pyannote[1590].end 10518.16784375
transcript.pyannote[1591].speaker SPEAKER_13
transcript.pyannote[1591].start 10518.43784375
transcript.pyannote[1591].end 10545.01596875
transcript.pyannote[1592].speaker SPEAKER_13
transcript.pyannote[1592].start 10545.48846875
transcript.pyannote[1592].end 10548.39096875
transcript.pyannote[1593].speaker SPEAKER_13
transcript.pyannote[1593].start 10549.06596875
transcript.pyannote[1593].end 10549.80846875
transcript.pyannote[1594].speaker SPEAKER_13
transcript.pyannote[1594].start 10550.19659375
transcript.pyannote[1594].end 10552.74471875
transcript.pyannote[1595].speaker SPEAKER_11
transcript.pyannote[1595].start 10556.54159375
transcript.pyannote[1595].end 10557.04784375
transcript.pyannote[1596].speaker SPEAKER_11
transcript.pyannote[1596].start 10557.65534375
transcript.pyannote[1596].end 10560.05159375
transcript.pyannote[1597].speaker SPEAKER_13
transcript.pyannote[1597].start 10560.10221875
transcript.pyannote[1597].end 10565.58659375
transcript.pyannote[1598].speaker SPEAKER_13
transcript.pyannote[1598].start 10566.63284375
transcript.pyannote[1598].end 10568.82659375
transcript.pyannote[1599].speaker SPEAKER_13
transcript.pyannote[1599].start 10569.26534375
transcript.pyannote[1599].end 10570.90221875
transcript.pyannote[1600].speaker SPEAKER_13
transcript.pyannote[1600].start 10571.35784375
transcript.pyannote[1600].end 10571.72909375
transcript.pyannote[1601].speaker SPEAKER_18
transcript.pyannote[1601].start 10571.96534375
transcript.pyannote[1601].end 10572.04971875
transcript.pyannote[1602].speaker SPEAKER_04
transcript.pyannote[1602].start 10572.04971875
transcript.pyannote[1602].end 10572.28596875
transcript.pyannote[1603].speaker SPEAKER_18
transcript.pyannote[1603].start 10572.28596875
transcript.pyannote[1603].end 10573.02846875
transcript.pyannote[1604].speaker SPEAKER_19
transcript.pyannote[1604].start 10573.02846875
transcript.pyannote[1604].end 10573.19721875
transcript.pyannote[1605].speaker SPEAKER_04
transcript.pyannote[1605].start 10574.31096875
transcript.pyannote[1605].end 10603.53846875
transcript.pyannote[1606].speaker SPEAKER_13
transcript.pyannote[1606].start 10603.28534375
transcript.pyannote[1606].end 10612.39784375
transcript.pyannote[1607].speaker SPEAKER_13
transcript.pyannote[1607].start 10612.98846875
transcript.pyannote[1607].end 10621.57784375
transcript.pyannote[1608].speaker SPEAKER_13
transcript.pyannote[1608].start 10621.86471875
transcript.pyannote[1608].end 10623.78846875
transcript.pyannote[1609].speaker SPEAKER_13
transcript.pyannote[1609].start 10624.27784375
transcript.pyannote[1609].end 10624.83471875
transcript.pyannote[1610].speaker SPEAKER_13
transcript.pyannote[1610].start 10625.40846875
transcript.pyannote[1610].end 10628.91846875
transcript.pyannote[1611].speaker SPEAKER_13
transcript.pyannote[1611].start 10629.30659375
transcript.pyannote[1611].end 10630.57221875
transcript.pyannote[1612].speaker SPEAKER_13
transcript.pyannote[1612].start 10630.96034375
transcript.pyannote[1612].end 10632.52971875
transcript.pyannote[1613].speaker SPEAKER_13
transcript.pyannote[1613].start 10632.86721875
transcript.pyannote[1613].end 10633.42409375
transcript.pyannote[1614].speaker SPEAKER_13
transcript.pyannote[1614].start 10634.06534375
transcript.pyannote[1614].end 10634.75721875
transcript.pyannote[1615].speaker SPEAKER_13
transcript.pyannote[1615].start 10635.80346875
transcript.pyannote[1615].end 10636.63034375
transcript.pyannote[1616].speaker SPEAKER_13
transcript.pyannote[1616].start 10637.32221875
transcript.pyannote[1616].end 10640.14034375
transcript.pyannote[1617].speaker SPEAKER_13
transcript.pyannote[1617].start 10640.49471875
transcript.pyannote[1617].end 10644.86534375
transcript.pyannote[1618].speaker SPEAKER_13
transcript.pyannote[1618].start 10645.25346875
transcript.pyannote[1618].end 10648.64534375
transcript.pyannote[1619].speaker SPEAKER_13
transcript.pyannote[1619].start 10649.15159375
transcript.pyannote[1619].end 10650.87284375
transcript.pyannote[1620].speaker SPEAKER_13
transcript.pyannote[1620].start 10651.12596875
transcript.pyannote[1620].end 10653.03284375
transcript.pyannote[1621].speaker SPEAKER_13
transcript.pyannote[1621].start 10654.39971875
transcript.pyannote[1621].end 10658.85471875
transcript.pyannote[1622].speaker SPEAKER_11
transcript.pyannote[1622].start 10659.51284375
transcript.pyannote[1622].end 10697.97096875
transcript.pyannote[1623].speaker SPEAKER_13
transcript.pyannote[1623].start 10663.64721875
transcript.pyannote[1623].end 10663.93409375
transcript.pyannote[1624].speaker SPEAKER_03
transcript.pyannote[1624].start 10663.93409375
transcript.pyannote[1624].end 10663.95096875
transcript.pyannote[1625].speaker SPEAKER_13
transcript.pyannote[1625].start 10697.97096875
transcript.pyannote[1625].end 10707.20159375
transcript.pyannote[1626].speaker SPEAKER_13
transcript.pyannote[1626].start 10707.80909375
transcript.pyannote[1626].end 10711.89284375
transcript.pyannote[1627].speaker SPEAKER_13
transcript.pyannote[1627].start 10712.48346875
transcript.pyannote[1627].end 10714.28909375
transcript.pyannote[1628].speaker SPEAKER_13
transcript.pyannote[1628].start 10714.71096875
transcript.pyannote[1628].end 10722.22034375
transcript.pyannote[1629].speaker SPEAKER_13
transcript.pyannote[1629].start 10722.50721875
transcript.pyannote[1629].end 10739.90534375
transcript.pyannote[1630].speaker SPEAKER_13
transcript.pyannote[1630].start 10740.52971875
transcript.pyannote[1630].end 10762.41659375
transcript.pyannote[1631].speaker SPEAKER_11
transcript.pyannote[1631].start 10763.58096875
transcript.pyannote[1631].end 10809.21096875
transcript.pyannote[1632].speaker SPEAKER_13
transcript.pyannote[1632].start 10776.11909375
transcript.pyannote[1632].end 10776.16971875
transcript.pyannote[1633].speaker SPEAKER_13
transcript.pyannote[1633].start 10780.37159375
transcript.pyannote[1633].end 10780.92846875
transcript.pyannote[1634].speaker SPEAKER_13
transcript.pyannote[1634].start 10785.28221875
transcript.pyannote[1634].end 10785.72096875
transcript.pyannote[1635].speaker SPEAKER_11
transcript.pyannote[1635].start 10810.20659375
transcript.pyannote[1635].end 10810.24034375
transcript.pyannote[1636].speaker SPEAKER_13
transcript.pyannote[1636].start 10810.24034375
transcript.pyannote[1636].end 10811.47221875
transcript.pyannote[1637].speaker SPEAKER_13
transcript.pyannote[1637].start 10812.82221875
transcript.pyannote[1637].end 10816.90596875
transcript.pyannote[1638].speaker SPEAKER_13
transcript.pyannote[1638].start 10817.31096875
transcript.pyannote[1638].end 10825.88346875
transcript.pyannote[1639].speaker SPEAKER_11
transcript.pyannote[1639].start 10818.18846875
transcript.pyannote[1639].end 10818.82971875
transcript.pyannote[1640].speaker SPEAKER_11
transcript.pyannote[1640].start 10819.90971875
transcript.pyannote[1640].end 10822.18784375
transcript.pyannote[1641].speaker SPEAKER_13
transcript.pyannote[1641].start 10826.52471875
transcript.pyannote[1641].end 10830.91221875
transcript.pyannote[1642].speaker SPEAKER_13
transcript.pyannote[1642].start 10831.09784375
transcript.pyannote[1642].end 10836.81846875
transcript.pyannote[1643].speaker SPEAKER_13
transcript.pyannote[1643].start 10837.00409375
transcript.pyannote[1643].end 10838.97846875
transcript.pyannote[1644].speaker SPEAKER_11
transcript.pyannote[1644].start 10838.52284375
transcript.pyannote[1644].end 10843.39971875
transcript.pyannote[1645].speaker SPEAKER_13
transcript.pyannote[1645].start 10843.39971875
transcript.pyannote[1645].end 10849.96409375
transcript.pyannote[1646].speaker SPEAKER_11
transcript.pyannote[1646].start 10843.45034375
transcript.pyannote[1646].end 10844.61471875
transcript.pyannote[1647].speaker SPEAKER_13
transcript.pyannote[1647].start 10850.13284375
transcript.pyannote[1647].end 10866.09659375
transcript.pyannote[1648].speaker SPEAKER_13
transcript.pyannote[1648].start 10866.29909375
transcript.pyannote[1648].end 10869.57284375
transcript.pyannote[1649].speaker SPEAKER_13
transcript.pyannote[1649].start 10869.99471875
transcript.pyannote[1649].end 10874.07846875
transcript.pyannote[1650].speaker SPEAKER_13
transcript.pyannote[1650].start 10874.16284375
transcript.pyannote[1650].end 10874.55096875
transcript.pyannote[1651].speaker SPEAKER_11
transcript.pyannote[1651].start 10874.23034375
transcript.pyannote[1651].end 10876.91346875
transcript.pyannote[1652].speaker SPEAKER_20
transcript.pyannote[1652].start 10881.62159375
transcript.pyannote[1652].end 10883.74784375
transcript.pyannote[1653].speaker SPEAKER_13
transcript.pyannote[1653].start 10891.45971875
transcript.pyannote[1653].end 10896.58971875
transcript.pyannote[1654].speaker SPEAKER_13
transcript.pyannote[1654].start 10897.33221875
transcript.pyannote[1654].end 10897.51784375
transcript.pyannote[1655].speaker SPEAKER_13
transcript.pyannote[1655].start 10898.19284375
transcript.pyannote[1655].end 10899.84659375
transcript.pyannote[1656].speaker SPEAKER_13
transcript.pyannote[1656].start 10900.58909375
transcript.pyannote[1656].end 10901.88846875
transcript.pyannote[1657].speaker SPEAKER_21
transcript.pyannote[1657].start 10906.52909375
transcript.pyannote[1657].end 10908.57096875
transcript.pyannote[1658].speaker SPEAKER_13
transcript.pyannote[1658].start 10909.24596875
transcript.pyannote[1658].end 10910.39346875
transcript.pyannote[1659].speaker SPEAKER_13
transcript.pyannote[1659].start 10911.30471875
transcript.pyannote[1659].end 10912.23284375
transcript.pyannote[1660].speaker SPEAKER_21
transcript.pyannote[1660].start 10921.71659375
transcript.pyannote[1660].end 10922.23971875
transcript.pyannote[1661].speaker SPEAKER_21
transcript.pyannote[1661].start 10922.89784375
transcript.pyannote[1661].end 10959.55034375
transcript.pyannote[1662].speaker SPEAKER_03
transcript.pyannote[1662].start 10961.96346875
transcript.pyannote[1662].end 10964.17409375
transcript.pyannote[1663].speaker SPEAKER_07
transcript.pyannote[1663].start 10964.17409375
transcript.pyannote[1663].end 10964.46096875
transcript.pyannote[1664].speaker SPEAKER_07
transcript.pyannote[1664].start 10969.28721875
transcript.pyannote[1664].end 10986.49971875
transcript.pyannote[1665].speaker SPEAKER_21
transcript.pyannote[1665].start 10987.25909375
transcript.pyannote[1665].end 11001.63659375
transcript.pyannote[1666].speaker SPEAKER_07
transcript.pyannote[1666].start 10992.13596875
transcript.pyannote[1666].end 10992.20346875
transcript.pyannote[1667].speaker SPEAKER_21
transcript.pyannote[1667].start 11002.17659375
transcript.pyannote[1667].end 11004.77534375
transcript.pyannote[1668].speaker SPEAKER_21
transcript.pyannote[1668].start 11010.96846875
transcript.pyannote[1668].end 11031.40409375
transcript.pyannote[1669].speaker SPEAKER_21
transcript.pyannote[1669].start 11031.65721875
transcript.pyannote[1669].end 11073.05159375
transcript.pyannote[1670].speaker SPEAKER_21
transcript.pyannote[1670].start 11073.06846875
transcript.pyannote[1670].end 11077.81034375
transcript.pyannote[1671].speaker SPEAKER_21
transcript.pyannote[1671].start 11077.92846875
transcript.pyannote[1671].end 11098.93784375
transcript.pyannote[1672].speaker SPEAKER_11
transcript.pyannote[1672].start 11099.49471875
transcript.pyannote[1672].end 11157.91596875
transcript.pyannote[1673].speaker SPEAKER_11
transcript.pyannote[1673].start 11158.45596875
transcript.pyannote[1673].end 11178.03096875
transcript.pyannote[1674].speaker SPEAKER_00
transcript.pyannote[1674].start 11172.88409375
transcript.pyannote[1674].end 11173.27221875
transcript.pyannote[1675].speaker SPEAKER_11
transcript.pyannote[1675].start 11178.16596875
transcript.pyannote[1675].end 11183.93721875
transcript.pyannote[1676].speaker SPEAKER_21
transcript.pyannote[1676].start 11183.93721875
transcript.pyannote[1676].end 11232.46971875
transcript.pyannote[1677].speaker SPEAKER_21
transcript.pyannote[1677].start 11232.82409375
transcript.pyannote[1677].end 11276.29409375
transcript.pyannote[1678].speaker SPEAKER_21
transcript.pyannote[1678].start 11276.34471875
transcript.pyannote[1678].end 11287.19534375
transcript.pyannote[1679].speaker SPEAKER_21
transcript.pyannote[1679].start 11289.84471875
transcript.pyannote[1679].end 11289.86159375
transcript.pyannote[1680].speaker SPEAKER_04
transcript.pyannote[1680].start 11289.86159375
transcript.pyannote[1680].end 11290.03034375
transcript.pyannote[1681].speaker SPEAKER_11
transcript.pyannote[1681].start 11290.03034375
transcript.pyannote[1681].end 11290.04721875
transcript.pyannote[1682].speaker SPEAKER_11
transcript.pyannote[1682].start 11290.13159375
transcript.pyannote[1682].end 11291.86971875
transcript.pyannote[1683].speaker SPEAKER_04
transcript.pyannote[1683].start 11291.86971875
transcript.pyannote[1683].end 11340.16596875
transcript.pyannote[1684].speaker SPEAKER_11
transcript.pyannote[1684].start 11295.41346875
transcript.pyannote[1684].end 11295.46409375
transcript.pyannote[1685].speaker SPEAKER_18
transcript.pyannote[1685].start 11297.57346875
transcript.pyannote[1685].end 11297.59034375
transcript.pyannote[1686].speaker SPEAKER_11
transcript.pyannote[1686].start 11297.59034375
transcript.pyannote[1686].end 11297.82659375
transcript.pyannote[1687].speaker SPEAKER_21
transcript.pyannote[1687].start 11340.31784375
transcript.pyannote[1687].end 11375.53596875
transcript.pyannote[1688].speaker SPEAKER_18
transcript.pyannote[1688].start 11374.87784375
transcript.pyannote[1688].end 11375.01284375
transcript.pyannote[1689].speaker SPEAKER_13
transcript.pyannote[1689].start 11376.36284375
transcript.pyannote[1689].end 11376.78471875
transcript.pyannote[1690].speaker SPEAKER_13
transcript.pyannote[1690].start 11378.92784375
transcript.pyannote[1690].end 11381.39159375
transcript.pyannote[1691].speaker SPEAKER_13
transcript.pyannote[1691].start 11381.67846875
transcript.pyannote[1691].end 11382.47159375
transcript.pyannote[1692].speaker SPEAKER_13
transcript.pyannote[1692].start 11384.02409375
transcript.pyannote[1692].end 11386.21784375
transcript.pyannote[1693].speaker SPEAKER_06
transcript.pyannote[1693].start 11391.71909375
transcript.pyannote[1693].end 11393.20409375
transcript.pyannote[1694].speaker SPEAKER_06
transcript.pyannote[1694].start 11393.65971875
transcript.pyannote[1694].end 11397.50721875
transcript.pyannote[1695].speaker SPEAKER_06
transcript.pyannote[1695].start 11401.82721875
transcript.pyannote[1695].end 11403.39659375
transcript.pyannote[1696].speaker SPEAKER_06
transcript.pyannote[1696].start 11403.61596875
transcript.pyannote[1696].end 11405.87721875
transcript.pyannote[1697].speaker SPEAKER_06
transcript.pyannote[1697].start 11406.43409375
transcript.pyannote[1697].end 11410.46721875
transcript.pyannote[1698].speaker SPEAKER_06
transcript.pyannote[1698].start 11411.19284375
transcript.pyannote[1698].end 11420.20409375
transcript.pyannote[1699].speaker SPEAKER_06
transcript.pyannote[1699].start 11421.11534375
transcript.pyannote[1699].end 11433.40034375
transcript.pyannote[1700].speaker SPEAKER_06
transcript.pyannote[1700].start 11433.75471875
transcript.pyannote[1700].end 11439.55971875
transcript.pyannote[1701].speaker SPEAKER_06
transcript.pyannote[1701].start 11440.04909375
transcript.pyannote[1701].end 11444.08221875
transcript.pyannote[1702].speaker SPEAKER_06
transcript.pyannote[1702].start 11444.67284375
transcript.pyannote[1702].end 11448.36846875
transcript.pyannote[1703].speaker SPEAKER_06
transcript.pyannote[1703].start 11449.53284375
transcript.pyannote[1703].end 11450.66346875
transcript.pyannote[1704].speaker SPEAKER_06
transcript.pyannote[1704].start 11452.08096875
transcript.pyannote[1704].end 11453.07659375
transcript.pyannote[1705].speaker SPEAKER_06
transcript.pyannote[1705].start 11453.73471875
transcript.pyannote[1705].end 11454.20721875
transcript.pyannote[1706].speaker SPEAKER_06
transcript.pyannote[1706].start 11454.56159375
transcript.pyannote[1706].end 11455.16909375
transcript.pyannote[1707].speaker SPEAKER_06
transcript.pyannote[1707].start 11455.38846875
transcript.pyannote[1707].end 11459.47221875
transcript.pyannote[1708].speaker SPEAKER_06
transcript.pyannote[1708].start 11459.91096875
transcript.pyannote[1708].end 11462.76284375
transcript.pyannote[1709].speaker SPEAKER_06
transcript.pyannote[1709].start 11462.89784375
transcript.pyannote[1709].end 11465.05784375
transcript.pyannote[1710].speaker SPEAKER_06
transcript.pyannote[1710].start 11465.41221875
transcript.pyannote[1710].end 11469.25971875
transcript.pyannote[1711].speaker SPEAKER_06
transcript.pyannote[1711].start 11469.73221875
transcript.pyannote[1711].end 11471.68971875
transcript.pyannote[1712].speaker SPEAKER_06
transcript.pyannote[1712].start 11472.26346875
transcript.pyannote[1712].end 11474.60909375
transcript.pyannote[1713].speaker SPEAKER_06
transcript.pyannote[1713].start 11475.21659375
transcript.pyannote[1713].end 11479.46909375
transcript.pyannote[1714].speaker SPEAKER_06
transcript.pyannote[1714].start 11479.84034375
transcript.pyannote[1714].end 11479.90784375
transcript.pyannote[1715].speaker SPEAKER_06
transcript.pyannote[1715].start 11480.02596875
transcript.pyannote[1715].end 11482.84409375
transcript.pyannote[1716].speaker SPEAKER_06
transcript.pyannote[1716].start 11483.72159375
transcript.pyannote[1716].end 11490.70784375
transcript.pyannote[1717].speaker SPEAKER_06
transcript.pyannote[1717].start 11490.92721875
transcript.pyannote[1717].end 11498.38596875
transcript.pyannote[1718].speaker SPEAKER_06
transcript.pyannote[1718].start 11499.31409375
transcript.pyannote[1718].end 11500.54596875
transcript.pyannote[1719].speaker SPEAKER_06
transcript.pyannote[1719].start 11501.17034375
transcript.pyannote[1719].end 11502.43596875
transcript.pyannote[1720].speaker SPEAKER_06
transcript.pyannote[1720].start 11502.90846875
transcript.pyannote[1720].end 11506.43534375
transcript.pyannote[1721].speaker SPEAKER_06
transcript.pyannote[1721].start 11506.82346875
transcript.pyannote[1721].end 11507.56596875
transcript.pyannote[1722].speaker SPEAKER_06
transcript.pyannote[1722].start 11507.63346875
transcript.pyannote[1722].end 11509.11846875
transcript.pyannote[1723].speaker SPEAKER_06
transcript.pyannote[1723].start 11509.70909375
transcript.pyannote[1723].end 11510.83971875
transcript.pyannote[1724].speaker SPEAKER_06
transcript.pyannote[1724].start 11510.97471875
transcript.pyannote[1724].end 11516.05409375
transcript.pyannote[1725].speaker SPEAKER_06
transcript.pyannote[1725].start 11516.39159375
transcript.pyannote[1725].end 11518.63596875
transcript.pyannote[1726].speaker SPEAKER_06
transcript.pyannote[1726].start 11519.78346875
transcript.pyannote[1726].end 11520.27284375
transcript.pyannote[1727].speaker SPEAKER_06
transcript.pyannote[1727].start 11521.48784375
transcript.pyannote[1727].end 11523.32721875
transcript.pyannote[1728].speaker SPEAKER_06
transcript.pyannote[1728].start 11523.68159375
transcript.pyannote[1728].end 11524.64346875
transcript.pyannote[1729].speaker SPEAKER_06
transcript.pyannote[1729].start 11524.89659375
transcript.pyannote[1729].end 11526.44909375
transcript.pyannote[1730].speaker SPEAKER_06
transcript.pyannote[1730].start 11527.12409375
transcript.pyannote[1730].end 11528.28846875
transcript.pyannote[1731].speaker SPEAKER_06
transcript.pyannote[1731].start 11529.26721875
transcript.pyannote[1731].end 11532.30471875
transcript.pyannote[1732].speaker SPEAKER_06
transcript.pyannote[1732].start 11533.06409375
transcript.pyannote[1732].end 11535.76409375
transcript.pyannote[1733].speaker SPEAKER_06
transcript.pyannote[1733].start 11536.23659375
transcript.pyannote[1733].end 11538.37971875
transcript.pyannote[1734].speaker SPEAKER_06
transcript.pyannote[1734].start 11539.29096875
transcript.pyannote[1734].end 11540.16846875
transcript.pyannote[1735].speaker SPEAKER_06
transcript.pyannote[1735].start 11541.34971875
transcript.pyannote[1735].end 11543.18909375
transcript.pyannote[1736].speaker SPEAKER_06
transcript.pyannote[1736].start 11544.43784375
transcript.pyannote[1736].end 11546.02409375
transcript.pyannote[1737].speaker SPEAKER_06
transcript.pyannote[1737].start 11546.49659375
transcript.pyannote[1737].end 11546.73284375
transcript.pyannote[1738].speaker SPEAKER_06
transcript.pyannote[1738].start 11547.45846875
transcript.pyannote[1738].end 11548.99409375
transcript.pyannote[1739].speaker SPEAKER_06
transcript.pyannote[1739].start 11549.24721875
transcript.pyannote[1739].end 11550.42846875
transcript.pyannote[1740].speaker SPEAKER_06
transcript.pyannote[1740].start 11550.91784375
transcript.pyannote[1740].end 11551.69409375
transcript.pyannote[1741].speaker SPEAKER_06
transcript.pyannote[1741].start 11551.91346875
transcript.pyannote[1741].end 11553.26346875
transcript.pyannote[1742].speaker SPEAKER_06
transcript.pyannote[1742].start 11554.19159375
transcript.pyannote[1742].end 11555.11971875
transcript.pyannote[1743].speaker SPEAKER_06
transcript.pyannote[1743].start 11556.25034375
transcript.pyannote[1743].end 11556.68909375
transcript.pyannote[1744].speaker SPEAKER_06
transcript.pyannote[1744].start 11557.12784375
transcript.pyannote[1744].end 11558.35971875
transcript.pyannote[1745].speaker SPEAKER_06
transcript.pyannote[1745].start 11559.38909375
transcript.pyannote[1745].end 11560.33409375
transcript.pyannote[1746].speaker SPEAKER_06
transcript.pyannote[1746].start 11560.70534375
transcript.pyannote[1746].end 11561.36346875
transcript.pyannote[1747].speaker SPEAKER_06
transcript.pyannote[1747].start 11562.30846875
transcript.pyannote[1747].end 11564.04659375
transcript.pyannote[1748].speaker SPEAKER_06
transcript.pyannote[1748].start 11564.46846875
transcript.pyannote[1748].end 11564.94096875
transcript.pyannote[1749].speaker SPEAKER_06
transcript.pyannote[1749].start 11566.18971875
transcript.pyannote[1749].end 11566.66221875
transcript.pyannote[1750].speaker SPEAKER_06
transcript.pyannote[1750].start 11567.43846875
transcript.pyannote[1750].end 11568.16409375
transcript.pyannote[1751].speaker SPEAKER_06
transcript.pyannote[1751].start 11568.65346875
transcript.pyannote[1751].end 11570.35784375
transcript.pyannote[1752].speaker SPEAKER_06
transcript.pyannote[1752].start 11571.28596875
transcript.pyannote[1752].end 11571.58971875
transcript.pyannote[1753].speaker SPEAKER_06
transcript.pyannote[1753].start 11572.02846875
transcript.pyannote[1753].end 11572.85534375
transcript.pyannote[1754].speaker SPEAKER_06
transcript.pyannote[1754].start 11573.37846875
transcript.pyannote[1754].end 11574.42471875
transcript.pyannote[1755].speaker SPEAKER_06
transcript.pyannote[1755].start 11575.63971875
transcript.pyannote[1755].end 11576.46659375
transcript.pyannote[1756].speaker SPEAKER_06
transcript.pyannote[1756].start 11576.73659375
transcript.pyannote[1756].end 11577.52971875
transcript.pyannote[1757].speaker SPEAKER_06
transcript.pyannote[1757].start 11578.45784375
transcript.pyannote[1757].end 11580.26346875
transcript.pyannote[1758].speaker SPEAKER_06
transcript.pyannote[1758].start 11580.82034375
transcript.pyannote[1758].end 11582.11971875
transcript.pyannote[1759].speaker SPEAKER_06
transcript.pyannote[1759].start 11582.84534375
transcript.pyannote[1759].end 11585.64659375
transcript.pyannote[1760].speaker SPEAKER_06
transcript.pyannote[1760].start 11586.60846875
transcript.pyannote[1760].end 11587.57034375
transcript.pyannote[1761].speaker SPEAKER_06
transcript.pyannote[1761].start 11587.92471875
transcript.pyannote[1761].end 11589.10596875
transcript.pyannote[1762].speaker SPEAKER_06
transcript.pyannote[1762].start 11589.98346875
transcript.pyannote[1762].end 11592.16034375
transcript.pyannote[1763].speaker SPEAKER_06
transcript.pyannote[1763].start 11592.26159375
transcript.pyannote[1763].end 11593.15596875
transcript.pyannote[1764].speaker SPEAKER_06
transcript.pyannote[1764].start 11593.83096875
transcript.pyannote[1764].end 11594.92784375
transcript.pyannote[1765].speaker SPEAKER_06
transcript.pyannote[1765].start 11596.37909375
transcript.pyannote[1765].end 11596.46346875
transcript.pyannote[1766].speaker SPEAKER_06
transcript.pyannote[1766].start 11596.68284375
transcript.pyannote[1766].end 11597.72909375
transcript.pyannote[1767].speaker SPEAKER_06
transcript.pyannote[1767].start 11597.94846875
transcript.pyannote[1767].end 11598.26909375
transcript.pyannote[1768].speaker SPEAKER_06
transcript.pyannote[1768].start 11598.92721875
transcript.pyannote[1768].end 11602.13346875
transcript.pyannote[1769].speaker SPEAKER_06
transcript.pyannote[1769].start 11602.92659375
transcript.pyannote[1769].end 11604.12471875
transcript.pyannote[1770].speaker SPEAKER_06
transcript.pyannote[1770].start 11604.46221875
transcript.pyannote[1770].end 11610.06471875
transcript.pyannote[1771].speaker SPEAKER_06
transcript.pyannote[1771].start 11610.87471875
transcript.pyannote[1771].end 11612.54534375
transcript.pyannote[1772].speaker SPEAKER_06
transcript.pyannote[1772].start 11613.18659375
transcript.pyannote[1772].end 11615.43096875
transcript.pyannote[1773].speaker SPEAKER_06
transcript.pyannote[1773].start 11616.54471875
transcript.pyannote[1773].end 11619.83534375
transcript.pyannote[1774].speaker SPEAKER_06
transcript.pyannote[1774].start 11620.45971875
transcript.pyannote[1774].end 11621.50596875
transcript.pyannote[1775].speaker SPEAKER_06
transcript.pyannote[1775].start 11622.31596875
transcript.pyannote[1775].end 11623.81784375
transcript.pyannote[1776].speaker SPEAKER_06
transcript.pyannote[1776].start 11624.12159375
transcript.pyannote[1776].end 11624.37471875
transcript.pyannote[1777].speaker SPEAKER_06
transcript.pyannote[1777].start 11624.50971875
transcript.pyannote[1777].end 11625.57284375
transcript.pyannote[1778].speaker SPEAKER_06
transcript.pyannote[1778].start 11626.87221875
transcript.pyannote[1778].end 11627.24346875
transcript.pyannote[1779].speaker SPEAKER_06
transcript.pyannote[1779].start 11628.12096875
transcript.pyannote[1779].end 11628.91409375
transcript.pyannote[1780].speaker SPEAKER_06
transcript.pyannote[1780].start 11630.02784375
transcript.pyannote[1780].end 11631.31034375
transcript.pyannote[1781].speaker SPEAKER_06
transcript.pyannote[1781].start 11631.79971875
transcript.pyannote[1781].end 11632.86284375
transcript.pyannote[1782].speaker SPEAKER_06
transcript.pyannote[1782].start 11633.53784375
transcript.pyannote[1782].end 11634.82034375
transcript.pyannote[1783].speaker SPEAKER_06
transcript.pyannote[1783].start 11635.42784375
transcript.pyannote[1783].end 11636.10284375
transcript.pyannote[1784].speaker SPEAKER_06
transcript.pyannote[1784].start 11636.96346875
transcript.pyannote[1784].end 11638.06034375
transcript.pyannote[1785].speaker SPEAKER_06
transcript.pyannote[1785].start 11638.58346875
transcript.pyannote[1785].end 11639.74784375
transcript.pyannote[1786].speaker SPEAKER_06
transcript.pyannote[1786].start 11640.13596875
transcript.pyannote[1786].end 11643.93284375
transcript.pyannote[1787].speaker SPEAKER_06
transcript.pyannote[1787].start 11644.74284375
transcript.pyannote[1787].end 11646.09284375
transcript.pyannote[1788].speaker SPEAKER_06
transcript.pyannote[1788].start 11647.17284375
transcript.pyannote[1788].end 11651.10471875
transcript.pyannote[1789].speaker SPEAKER_06
transcript.pyannote[1789].start 11651.15534375
transcript.pyannote[1789].end 11662.29284375
transcript.pyannote[1790].speaker SPEAKER_06
transcript.pyannote[1790].start 11662.91721875
transcript.pyannote[1790].end 11667.28784375
transcript.pyannote[1791].speaker SPEAKER_06
transcript.pyannote[1791].start 11668.09784375
transcript.pyannote[1791].end 11670.47721875
transcript.pyannote[1792].speaker SPEAKER_06
transcript.pyannote[1792].start 11670.64596875
transcript.pyannote[1792].end 11672.11409375
transcript.pyannote[1793].speaker SPEAKER_06
transcript.pyannote[1793].start 11673.39659375
transcript.pyannote[1793].end 11674.42596875
transcript.pyannote[1794].speaker SPEAKER_06
transcript.pyannote[1794].start 11675.13471875
transcript.pyannote[1794].end 11675.60721875
transcript.pyannote[1795].speaker SPEAKER_06
transcript.pyannote[1795].start 11675.82659375
transcript.pyannote[1795].end 11679.43784375
transcript.pyannote[1796].speaker SPEAKER_06
transcript.pyannote[1796].start 11680.50096875
transcript.pyannote[1796].end 11682.49221875
transcript.pyannote[1797].speaker SPEAKER_06
transcript.pyannote[1797].start 11682.88034375
transcript.pyannote[1797].end 11683.48784375
transcript.pyannote[1798].speaker SPEAKER_06
transcript.pyannote[1798].start 11683.87596875
transcript.pyannote[1798].end 11684.71971875
transcript.pyannote[1799].speaker SPEAKER_06
transcript.pyannote[1799].start 11685.19221875
transcript.pyannote[1799].end 11687.06534375
transcript.pyannote[1800].speaker SPEAKER_06
transcript.pyannote[1800].start 11687.21721875
transcript.pyannote[1800].end 11689.37721875
transcript.pyannote[1801].speaker SPEAKER_06
transcript.pyannote[1801].start 11689.54596875
transcript.pyannote[1801].end 11690.52471875
transcript.pyannote[1802].speaker SPEAKER_06
transcript.pyannote[1802].start 11691.19971875
transcript.pyannote[1802].end 11692.44846875
transcript.pyannote[1803].speaker SPEAKER_06
transcript.pyannote[1803].start 11692.78596875
transcript.pyannote[1803].end 11694.30471875
transcript.pyannote[1804].speaker SPEAKER_06
transcript.pyannote[1804].start 11695.09784375
transcript.pyannote[1804].end 11696.81909375
transcript.pyannote[1805].speaker SPEAKER_06
transcript.pyannote[1805].start 11697.71346875
transcript.pyannote[1805].end 11698.25346875
transcript.pyannote[1806].speaker SPEAKER_11
transcript.pyannote[1806].start 11698.87784375
transcript.pyannote[1806].end 11752.94534375
transcript.pyannote[1807].speaker SPEAKER_06
transcript.pyannote[1807].start 11749.53659375
transcript.pyannote[1807].end 11751.02159375
transcript.pyannote[1808].speaker SPEAKER_06
transcript.pyannote[1808].start 11752.77659375
transcript.pyannote[1808].end 11757.26534375
transcript.pyannote[1809].speaker SPEAKER_11
transcript.pyannote[1809].start 11753.02971875
transcript.pyannote[1809].end 11754.16034375
transcript.pyannote[1810].speaker SPEAKER_11
transcript.pyannote[1810].start 11755.22346875
transcript.pyannote[1810].end 11768.62221875
transcript.pyannote[1811].speaker SPEAKER_11
transcript.pyannote[1811].start 11768.74034375
transcript.pyannote[1811].end 11769.02721875
transcript.pyannote[1812].speaker SPEAKER_06
transcript.pyannote[1812].start 11769.02721875
transcript.pyannote[1812].end 11770.46159375
transcript.pyannote[1813].speaker SPEAKER_11
transcript.pyannote[1813].start 11770.69784375
transcript.pyannote[1813].end 11770.71471875
transcript.pyannote[1814].speaker SPEAKER_06
transcript.pyannote[1814].start 11770.71471875
transcript.pyannote[1814].end 11772.90846875
transcript.pyannote[1815].speaker SPEAKER_06
transcript.pyannote[1815].start 11773.41471875
transcript.pyannote[1815].end 11779.42221875
transcript.pyannote[1816].speaker SPEAKER_19
transcript.pyannote[1816].start 11776.36784375
transcript.pyannote[1816].end 11776.60409375
transcript.pyannote[1817].speaker SPEAKER_06
transcript.pyannote[1817].start 11779.57409375
transcript.pyannote[1817].end 11787.80909375
transcript.pyannote[1818].speaker SPEAKER_11
transcript.pyannote[1818].start 11785.42971875
transcript.pyannote[1818].end 11786.40846875
transcript.pyannote[1819].speaker SPEAKER_11
transcript.pyannote[1819].start 11786.61096875
transcript.pyannote[1819].end 11786.67846875
transcript.pyannote[1820].speaker SPEAKER_06
transcript.pyannote[1820].start 11788.60221875
transcript.pyannote[1820].end 11790.49221875
transcript.pyannote[1821].speaker SPEAKER_06
transcript.pyannote[1821].start 11791.35284375
transcript.pyannote[1821].end 11792.43284375
transcript.pyannote[1822].speaker SPEAKER_06
transcript.pyannote[1822].start 11793.64784375
transcript.pyannote[1822].end 11794.64346875
transcript.pyannote[1823].speaker SPEAKER_06
transcript.pyannote[1823].start 11795.31846875
transcript.pyannote[1823].end 11795.60534375
transcript.pyannote[1824].speaker SPEAKER_06
transcript.pyannote[1824].start 11796.51659375
transcript.pyannote[1824].end 11797.64721875
transcript.pyannote[1825].speaker SPEAKER_06
transcript.pyannote[1825].start 11798.32221875
transcript.pyannote[1825].end 11801.25846875
transcript.pyannote[1826].speaker SPEAKER_06
transcript.pyannote[1826].start 11801.73096875
transcript.pyannote[1826].end 11805.83159375
transcript.pyannote[1827].speaker SPEAKER_06
transcript.pyannote[1827].start 11806.30409375
transcript.pyannote[1827].end 11807.08034375
transcript.pyannote[1828].speaker SPEAKER_06
transcript.pyannote[1828].start 11807.13096875
transcript.pyannote[1828].end 11807.14784375
transcript.pyannote[1829].speaker SPEAKER_06
transcript.pyannote[1829].start 11807.21534375
transcript.pyannote[1829].end 11814.35346875
transcript.pyannote[1830].speaker SPEAKER_06
transcript.pyannote[1830].start 11814.85971875
transcript.pyannote[1830].end 11817.03659375
transcript.pyannote[1831].speaker SPEAKER_06
transcript.pyannote[1831].start 11817.08721875
transcript.pyannote[1831].end 11819.14596875
transcript.pyannote[1832].speaker SPEAKER_06
transcript.pyannote[1832].start 11819.93909375
transcript.pyannote[1832].end 11822.57159375
transcript.pyannote[1833].speaker SPEAKER_06
transcript.pyannote[1833].start 11823.26346875
transcript.pyannote[1833].end 11824.68096875
transcript.pyannote[1834].speaker SPEAKER_06
transcript.pyannote[1834].start 11825.25471875
transcript.pyannote[1834].end 11826.80721875
transcript.pyannote[1835].speaker SPEAKER_06
transcript.pyannote[1835].start 11827.24596875
transcript.pyannote[1835].end 11828.37659375
transcript.pyannote[1836].speaker SPEAKER_06
transcript.pyannote[1836].start 11828.76471875
transcript.pyannote[1836].end 11829.92909375
transcript.pyannote[1837].speaker SPEAKER_06
transcript.pyannote[1837].start 11830.55346875
transcript.pyannote[1837].end 11832.05534375
transcript.pyannote[1838].speaker SPEAKER_06
transcript.pyannote[1838].start 11832.88221875
transcript.pyannote[1838].end 11833.18596875
transcript.pyannote[1839].speaker SPEAKER_06
transcript.pyannote[1839].start 11834.04659375
transcript.pyannote[1839].end 11839.42971875
transcript.pyannote[1840].speaker SPEAKER_06
transcript.pyannote[1840].start 11840.18909375
transcript.pyannote[1840].end 11843.17596875
transcript.pyannote[1841].speaker SPEAKER_06
transcript.pyannote[1841].start 11843.49659375
transcript.pyannote[1841].end 11844.94784375
transcript.pyannote[1842].speaker SPEAKER_06
transcript.pyannote[1842].start 11846.01096875
transcript.pyannote[1842].end 11847.41159375
transcript.pyannote[1843].speaker SPEAKER_06
transcript.pyannote[1843].start 11847.83346875
transcript.pyannote[1843].end 11848.08659375
transcript.pyannote[1844].speaker SPEAKER_06
transcript.pyannote[1844].start 11848.42409375
transcript.pyannote[1844].end 11850.83721875
transcript.pyannote[1845].speaker SPEAKER_06
transcript.pyannote[1845].start 11851.73159375
transcript.pyannote[1845].end 11853.82409375
transcript.pyannote[1846].speaker SPEAKER_06
transcript.pyannote[1846].start 11854.83659375
transcript.pyannote[1846].end 11856.65909375
transcript.pyannote[1847].speaker SPEAKER_06
transcript.pyannote[1847].start 11856.97971875
transcript.pyannote[1847].end 11858.56596875
transcript.pyannote[1848].speaker SPEAKER_06
transcript.pyannote[1848].start 11859.37596875
transcript.pyannote[1848].end 11861.18159375
transcript.pyannote[1849].speaker SPEAKER_06
transcript.pyannote[1849].start 11861.58659375
transcript.pyannote[1849].end 11862.31221875
transcript.pyannote[1850].speaker SPEAKER_06
transcript.pyannote[1850].start 11862.78471875
transcript.pyannote[1850].end 11864.28659375
transcript.pyannote[1851].speaker SPEAKER_06
transcript.pyannote[1851].start 11864.60721875
transcript.pyannote[1851].end 11868.20159375
transcript.pyannote[1852].speaker SPEAKER_06
transcript.pyannote[1852].start 11868.92721875
transcript.pyannote[1852].end 11871.98159375
transcript.pyannote[1853].speaker SPEAKER_06
transcript.pyannote[1853].start 11872.30221875
transcript.pyannote[1853].end 11875.81221875
transcript.pyannote[1854].speaker SPEAKER_06
transcript.pyannote[1854].start 11876.20034375
transcript.pyannote[1854].end 11877.98909375
transcript.pyannote[1855].speaker SPEAKER_06
transcript.pyannote[1855].start 11878.59659375
transcript.pyannote[1855].end 11879.17034375
transcript.pyannote[1856].speaker SPEAKER_06
transcript.pyannote[1856].start 11879.65971875
transcript.pyannote[1856].end 11882.73096875
transcript.pyannote[1857].speaker SPEAKER_06
transcript.pyannote[1857].start 11883.16971875
transcript.pyannote[1857].end 11885.26221875
transcript.pyannote[1858].speaker SPEAKER_06
transcript.pyannote[1858].start 11886.25784375
transcript.pyannote[1858].end 11887.08471875
transcript.pyannote[1859].speaker SPEAKER_06
transcript.pyannote[1859].start 11887.37159375
transcript.pyannote[1859].end 11888.28284375
transcript.pyannote[1860].speaker SPEAKER_06
transcript.pyannote[1860].start 11890.57784375
transcript.pyannote[1860].end 11896.28159375
transcript.pyannote[1861].speaker SPEAKER_06
transcript.pyannote[1861].start 11896.82159375
transcript.pyannote[1861].end 11900.65221875
transcript.pyannote[1862].speaker SPEAKER_06
transcript.pyannote[1862].start 11901.22596875
transcript.pyannote[1862].end 11901.52971875
transcript.pyannote[1863].speaker SPEAKER_06
transcript.pyannote[1863].start 11902.37346875
transcript.pyannote[1863].end 11903.01471875
transcript.pyannote[1864].speaker SPEAKER_06
transcript.pyannote[1864].start 11903.53784375
transcript.pyannote[1864].end 11906.74409375
transcript.pyannote[1865].speaker SPEAKER_06
transcript.pyannote[1865].start 11907.28409375
transcript.pyannote[1865].end 11908.68471875
transcript.pyannote[1866].speaker SPEAKER_06
transcript.pyannote[1866].start 11909.32596875
transcript.pyannote[1866].end 11912.46471875
transcript.pyannote[1867].speaker SPEAKER_06
transcript.pyannote[1867].start 11912.98784375
transcript.pyannote[1867].end 11915.46846875
transcript.pyannote[1868].speaker SPEAKER_06
transcript.pyannote[1868].start 11915.83971875
transcript.pyannote[1868].end 11917.45971875
transcript.pyannote[1869].speaker SPEAKER_06
transcript.pyannote[1869].start 11918.06721875
transcript.pyannote[1869].end 11920.69971875
transcript.pyannote[1870].speaker SPEAKER_06
transcript.pyannote[1870].start 11921.67846875
transcript.pyannote[1870].end 11922.77534375
transcript.pyannote[1871].speaker SPEAKER_06
transcript.pyannote[1871].start 11923.11284375
transcript.pyannote[1871].end 11925.28971875
transcript.pyannote[1872].speaker SPEAKER_06
transcript.pyannote[1872].start 11926.01534375
transcript.pyannote[1872].end 11927.34846875
transcript.pyannote[1873].speaker SPEAKER_19
transcript.pyannote[1873].start 11927.34846875
transcript.pyannote[1873].end 11927.36534375
transcript.pyannote[1874].speaker SPEAKER_06
transcript.pyannote[1874].start 11927.36534375
transcript.pyannote[1874].end 11927.88846875
transcript.pyannote[1875].speaker SPEAKER_06
transcript.pyannote[1875].start 11929.01909375
transcript.pyannote[1875].end 11931.11159375
transcript.pyannote[1876].speaker SPEAKER_06
transcript.pyannote[1876].start 11931.65159375
transcript.pyannote[1876].end 11934.11534375
transcript.pyannote[1877].speaker SPEAKER_06
transcript.pyannote[1877].start 11935.26284375
transcript.pyannote[1877].end 11935.66784375
transcript.pyannote[1878].speaker SPEAKER_06
transcript.pyannote[1878].start 11936.47784375
transcript.pyannote[1878].end 11937.79409375
transcript.pyannote[1879].speaker SPEAKER_06
transcript.pyannote[1879].start 11938.13159375
transcript.pyannote[1879].end 11938.82346875
transcript.pyannote[1880].speaker SPEAKER_06
transcript.pyannote[1880].start 11939.48159375
transcript.pyannote[1880].end 11942.31659375
transcript.pyannote[1881].speaker SPEAKER_06
transcript.pyannote[1881].start 11942.78909375
transcript.pyannote[1881].end 11943.86909375
transcript.pyannote[1882].speaker SPEAKER_06
transcript.pyannote[1882].start 11944.27409375
transcript.pyannote[1882].end 11944.51034375
transcript.pyannote[1883].speaker SPEAKER_06
transcript.pyannote[1883].start 11944.88159375
transcript.pyannote[1883].end 11950.80471875
transcript.pyannote[1884].speaker SPEAKER_06
transcript.pyannote[1884].start 11951.41221875
transcript.pyannote[1884].end 11952.25596875
transcript.pyannote[1885].speaker SPEAKER_06
transcript.pyannote[1885].start 11952.74534375
transcript.pyannote[1885].end 11963.68034375
transcript.pyannote[1886].speaker SPEAKER_06
transcript.pyannote[1886].start 11963.93346875
transcript.pyannote[1886].end 11966.85284375
transcript.pyannote[1887].speaker SPEAKER_18
transcript.pyannote[1887].start 11964.94596875
transcript.pyannote[1887].end 11965.03034375
transcript.pyannote[1888].speaker SPEAKER_18
transcript.pyannote[1888].start 11965.36784375
transcript.pyannote[1888].end 11967.66284375
transcript.pyannote[1889].speaker SPEAKER_13
transcript.pyannote[1889].start 11970.10971875
transcript.pyannote[1889].end 11972.28659375
transcript.pyannote[1890].speaker SPEAKER_13
transcript.pyannote[1890].start 11975.15534375
transcript.pyannote[1890].end 11984.20034375
transcript.pyannote[1891].speaker SPEAKER_13
transcript.pyannote[1891].start 11984.57159375
transcript.pyannote[1891].end 11990.89971875
transcript.pyannote[1892].speaker SPEAKER_13
transcript.pyannote[1892].start 11991.32159375
transcript.pyannote[1892].end 11994.05534375
transcript.pyannote[1893].speaker SPEAKER_13
transcript.pyannote[1893].start 11994.20721875
transcript.pyannote[1893].end 11999.89409375
transcript.pyannote[1894].speaker SPEAKER_13
transcript.pyannote[1894].start 12000.51846875
transcript.pyannote[1894].end 12001.75034375
transcript.whisperx[0].start 1534.534
transcript.whisperx[0].end 1563.686
transcript.whisperx[0].text 好 我們繼續開會我們現在先介紹在場委員侯孟楷委員張志倫委員林倩琦委員那我們現在介紹在場列席官員交通部政務次長陳彥博次長交通部公路運輸局監理師胡迪琦司長陸正道安司吳東林司長
transcript.whisperx[1].start 1565.677
transcript.whisperx[1].end 1593.11
transcript.whisperx[1].text 法治署許宏達處長公路局林福山局長高工局陳文瑞局長運研所葉祖宏主秘司法院行政訴訟及懲戒廳調辦司法官林靜超刑事廳調辦司法官黃湘瑩法務部參事謝志明
transcript.whisperx[2].start 1595.723
transcript.whisperx[2].end 1620.135
transcript.whisperx[2].text 內政部護政司專委潘英宗警政署交通組副組長陳朝欣衛福部食品藥物管理 抱歉衛福部食品藥物管理署監管組副組長張興文心理健康司洪家基專委本人會議進行審查道路交通管理處罰條例
transcript.whisperx[3].start 1621.718
transcript.whisperx[3].end 1631.369
transcript.whisperx[3].text 道路交通管理處罰條例等14案請提案委員我們先說明提案要旨那我看依據的話第一位委員是張志倫委員請張志倫委員說明
transcript.whisperx[4].start 1644.298
transcript.whisperx[4].end 1658.934
transcript.whisperx[4].text 好 謝謝主席 各位委員 各位官員 大家早那本席今天提案修正道路交通處罰條例第35條主要是為了強化防制獨駕的機制補足現行法令的不足
transcript.whisperx[5].start 1659.754
transcript.whisperx[5].end 1670.142
transcript.whisperx[5].text 進而進一步維護我們的道路交通安全近年來獨駕案件已經呈現明顯的增加趨勢根據警政署的統計115年1到5月全國移送獨駕案件已達6730件較114年同期的239
transcript.whisperx[6].start 1681.09
transcript.whisperx[6].end 1691.854
transcript.whisperx[6].text 2399件增加將近2.8倍警政署在6月18號也進行了全國同步擴大取締獨駕專案單日即查獲獨駕案件155件這些數字顯示獨駕的問題已經嚴重
transcript.whisperx[7].start 1700.357
transcript.whisperx[7].end 1716.573
transcript.whisperx[7].text 威脅到道路交通安全是一個非常重要的課題那我們都知道吸食毒品後駕車可能會導致駕駛人的反應遲緩判斷力下降甚至出現精神恍惚幻覺等情形危害的程度其實
transcript.whisperx[8].start 1717.594
transcript.whisperx[8].end 1735.384
transcript.whisperx[8].text 不小於酒後駕車然而現行的道路交通管理處罰條例對酒駕已經有對同車的乘客的處罰規定那希望透過社會大家一起來共同監督機制發揮事前勸阻的效果
transcript.whisperx[9].start 1736.064
transcript.whisperx[9].end 1753.873
transcript.whisperx[9].text 但是對於獨駕行為現在是沒有相同的規範也就是說同車的乘客明知駕駛人吸毒後人搭騎騎車輛卻沒有相對應的法律責任所以現在制度上酒駕跟獨駕同車的乘客的規範
transcript.whisperx[10].start 1755.054
transcript.whisperx[10].end 1765.981
transcript.whisperx[10].text 的明顯是不一致所以因此本行參照現行酒駕同車乘客罰則的制度增訂獨駕同車乘客處罰規定針對年滿18歲的同車的乘客明知駕駛人有吸毒
transcript.whisperx[11].start 1773.565
transcript.whisperx[11].end 1795.78
transcript.whisperx[11].text 即使毒品迷幻藥麻醉藥品或類似相關管制藥品等情形仍搭乘其車輛者處新台幣6000元以上15000元以下之罰還同時本案也考量比例原則由於獨駕不能像酒駕一樣有這個酒味
transcript.whisperx[12].start 1797.045
transcript.whisperx[12].end 1807.896
transcript.whisperx[12].text 等這個外觀可以辨識容易辨識的一個情形所以我們特別在法條裡面將明知列為處罰的要件針對確實知悉駕駛人吸毒者
transcript.whisperx[13].start 1812.523
transcript.whisperx[13].end 1830.004
transcript.whisperx[13].text 人搭乘者處於處罰避免誤罰無辜民眾以及現行的年滿70歲者心智障礙者及汽車運輸業者乘客等免罰規定仍然維持不變那本次修法提案是希望透過
transcript.whisperx[14].start 1831.225
transcript.whisperx[14].end 1854.749
transcript.whisperx[14].text 適度的社會連帶責任促使親友與同車人員共同勸阻獨駕行為形成全民防制獨駕的力量降低道路風險保障國人生命安全敬請各位委員支持 謝謝好 謝謝張志倫委員提案說明接下來我們請侯孟楷委員提案說明
transcript.whisperx[15].start 1867.045
transcript.whisperx[15].end 1883.033
transcript.whisperx[15].text 主席各位委員以及在場列席的官員今天討論道交條例的修正尤其是針對這個日漸頻繁惡劣猖獗的毒品駕車危害我想獨駕事件已經造成太多的悲劇跟太多的慘案
transcript.whisperx[16].start 1883.633
transcript.whisperx[16].end 1905.64
transcript.whisperx[16].text 我們要的就是要即刻把破網給補起來並且用強硬的手段強硬的態度告訴任何有心存僥倖想犯罪者都不應該心存僥倖吸食毒品已經是犯罪吸食毒品還開車上路那更是錯上加錯尤其是當吸食毒品之後開車上路本身來講
transcript.whisperx[17].start 1906.961
transcript.whisperx[17].end 1915.614
transcript.whisperx[17].text 車輛已經不是交通工具而是殺人利器他是無差別的有可能的對付到任何無辜的路人
transcript.whisperx[18].start 1917.138
transcript.whisperx[18].end 1942.023
transcript.whisperx[18].text 駕駛者以及善良老百姓也因此我們才要用最強硬的態度跟手段告訴所有有心犯罪者你絕對不要心存僥倖本席的提案版本重點有四項第一提高獨駕罰環我想這是大家共同支持我們要讓敢獨駕者付出應有的代價但這只是最輕微的第一步第二
transcript.whisperx[19].start 1942.543
transcript.whisperx[19].end 1962.331
transcript.whisperx[19].text 是要能夠直接沒入毒品駕車人士的車輛誠如剛剛本席所說毒駕就已經是犯嚴重違法的一個事實尤其車輛已經變成殺人利器的時候你敢毒駕我們就敢沒入車輛讓你的車輛直接被沒入
transcript.whisperx[20].start 1963.251
transcript.whisperx[20].end 1981.105
transcript.whisperx[20].text 而本席的版本跟現在行政部門提出來的版本有一個最大的不同我想這也是實務上的經驗也必須請我們行政部門以及所有相關的修法委員同仁大家共同思考很多在現場的狀況 毒品駕車者他其實開的並不是自己的車
transcript.whisperx[21].start 1981.886
transcript.whisperx[21].end 1999.974
transcript.whisperx[21].text 如果說他開的不是自己的車是租賃的車是偷來的車是跟別人借的車那這樣子他明知自己已經沒有車了他還敢跟別人拿車來開除了說現在行政院版本是全部統一沒路以外這一個獨駕者的心態非常可惡
transcript.whisperx[22].start 2001.192
transcript.whisperx[22].end 2029.367
transcript.whisperx[22].text 你已經沒有車了你還敢用別人的車甚至食物上的經驗偷來的車來去做開車移動那這樣子你的刑責應該要加重加罰二分之一也就是加罰1.5倍不管是罰還或是我們相關修法的刑法185條本席都主張你的罰還跟刑責都要加重1.5倍以及第三同車者的
transcript.whisperx[23].start 2031.099
transcript.whisperx[23].end 2057.546
transcript.whisperx[23].text 連坐責任其實連坐責任在日本韓國以及歐美等酒駕獨駕嚴重的國家都有相關的規定過去我們在討論酒駕的時候也希望能夠正式入法但很遺憾的是過去的版本只有限於所謂的罰還也因此今天本席所提出來除了是同坐者你共同在同樣的車輛你明知這個人已經有
transcript.whisperx[24].start 2058.826
transcript.whisperx[24].end 2083.174
transcript.whisperx[24].text 獨駕的一個狀況你還跟他一起開車你還跟他一起坐車你沒有制止他你沒有讓他不開車那這樣子很抱歉你也有相關的責任也因此同作者的這個罰還責任甚至我們刑法的相關的刑責本期都希望能夠在這一次獨駕嚇阻的修法裡面一併的來修正一併的來補齊這個漏洞還是再次強調
transcript.whisperx[25].start 2084.594
transcript.whisperx[25].end 2112.871
transcript.whisperx[25].text 如果說我們現前的版本只有討論到提高罰則延長調照的期限或是宣示車輛沒路但是執行端沒有完善的毒品檢視 車籍追蹤 遺志保管裁決沒路或跨部會的資料串接的話民眾人會無感因為執行要到位我們不要只是防制停留在看起來很重的修法但實際上還是必須要做到看得到 抓得到
transcript.whisperx[26].start 2113.351
transcript.whisperx[26].end 2131.391
transcript.whisperx[26].text 你敢上車我敢沒路這樣子的一個態度以及做法才能夠真真正正我們共同一起來嚇阻獨家所以今天我們等一下會進入質詢答詢以及相關的主條審查的修法我們都希望用最快的速度在這個會期裡面能夠讓
transcript.whisperx[27].start 2132.432
transcript.whisperx[27].end 2149.99
transcript.whisperx[27].text 道交條例也好或是刑法的185條的修正能夠讓他三讀通過用具體的行動來宣示獨駕零容忍不是玩假的我們共同努力謝謝好 謝謝洪孟凱委員的說明我們接下來請林倩琦委員提案說明
transcript.whisperx[28].start 2162.573
transcript.whisperx[28].end 2190.86
transcript.whisperx[28].text 好 謝謝我們主席黃昭瑋還有輔惠同仁 大家早安那麼本席呢今天提出道路交通管理處罰條例第35條修正的草案那麼主要的目的是在於強化酒駕賀祖獨駕的防治那麼就提高違規成本來維護道路交通安全及保障人民生命財產安全的概念下來做這樣子一個修法的提出喔
transcript.whisperx[29].start 2191.54
transcript.whisperx[29].end 2215.456
transcript.whisperx[29].text 那麼我們知道近年來酒駕的問題也還沒有完全根絕結果緊接而來的是獨駕的案件也呈現了增加了一個趨勢那麼駕駛人在試用毒品迷幻藥麻醉藥品跟其他管制藥品以後駕車那不僅反應能力判斷能力及控制能力都受到嚴重的影響也危及了其他的路人乘客跟第一線
transcript.whisperx[30].start 2216.537
transcript.whisperx[30].end 2237.719
transcript.whisperx[30].text 執勤遠景的生命安全那麼獨駕已經成為公共安全的重大風險因此本席在此案來提高酒駕及獨駕的罰環下限那麼機車駕駛人由現行的一萬五千塊來提高到三萬元那麼汽車駕駛人由三萬元提高到六萬元以提升違規的成本
transcript.whisperx[31].start 2238.32
transcript.whisperx[31].end 2255.314
transcript.whisperx[31].text 那麼其次呢在針對十年內再次違反酒駕獨駕規定者第三次以上加罰那個金額由九萬塊來提高到十二萬元來藉此來強化對累犯的嚇阻的效果
transcript.whisperx[32].start 2256.194
transcript.whisperx[32].end 2268.763
transcript.whisperx[32].text 此外,對於拒絕接受酒駕及獨駕檢測或規避檢測者本案也延長了累犯認定期間,由10年調整為12年,避免駕駛人以拒絕測量規避責任
transcript.whisperx[33].start 2273.166
transcript.whisperx[33].end 2299.879
transcript.whisperx[33].text 那本案的另外一個重點是將同車乘客的處罰規定來擴及獨駕那麼年滿18歲的同車乘客如果明明知道駕駛人是酒後或者是施用毒品之後呢還與其一起搭車那也應該要負起勸阻的責任那麼藉著這樣子的一個修法是也給同車者一些勸導的支持
transcript.whisperx[34].start 2302.02
transcript.whisperx[34].end 2319.094
transcript.whisperx[34].text 本案也同步提高同車乘客罰緩至兩萬四千元以上 六萬元以下讓防止危險駕駛不再是只有駕駛人的責任那也是同車乘客要來共同維護整個公共安全的責任
transcript.whisperx[35].start 2319.634
transcript.whisperx[35].end 2339.239
transcript.whisperx[35].text 但是最重要的就是說那整個制度的設計和社會運作有效的一個推動那其實是大家的責任但是這次修法呢基本上我們還是能夠有一些這個嚇阻的效用那麼敬請以上的說明也請所有的所有的委員來支持本案 謝謝好 謝謝林千祺委員的提案說明接下來我們請台灣民眾黨團代表陳清東委員提案說明
transcript.whisperx[36].start 2355.25
transcript.whisperx[36].end 2371.358
transcript.whisperx[36].text 好 謝謝主席 臺灣民眾黨黨團有鑑於近年來獨家案件的一個快速增長我想社會上我們的國人同胞 針對獨家的這樣的一個氾濫
transcript.whisperx[37].start 2375.04
transcript.whisperx[37].end 2387.409
transcript.whisperx[37].text 我們大家都深有同感也覺得我們現行的一個法令不夠周全必須要進一步的一個修法讓我們從我們的統計資料
transcript.whisperx[38].start 2390.971
transcript.whisperx[38].end 2413.63
transcript.whisperx[38].text 我們看到了從113年到115年4月短短的這一年多的時間已經造成實際有42人的死亡那身著食用毒品及危險價值是犯罪結合對整體社會知識及交通安全的危害
transcript.whisperx[39].start 2414.811
transcript.whisperx[39].end 2425.382
transcript.whisperx[39].text 更為嚴重且渡假猖獗更以形成嚴重的一個民怨故意提升法治後阻力增加行為人的犯罪成本本黨
transcript.whisperx[40].start 2429.641
transcript.whisperx[40].end 2439.171
transcript.whisperx[40].text 修正加強獨駕的相關法則這個法則修正案包括我們的第21條之一因為提告應酒駕、獨駕、酒駕、居車、獨駕、居車、吊扣或吊小駕駛執照又無照駕駛的一個駕法的一個金額
transcript.whisperx[41].start 2451.924
transcript.whisperx[41].end 2468.586
transcript.whisperx[41].text 那也參考同法的立法令先將對於同車成員乘客擬定連坐的一個處罰那也證明今年來慢車危險駕駛的案件
transcript.whisperx[42].start 2469.267
transcript.whisperx[42].end 2482.932
transcript.whisperx[42].text 及拒策的比例亦有持續的一個上升的趨勢那現行的條文對慢車危險的駕駛跟他拒策的行為卻會設有處罰的名文導致行為人往往基於僥倖的心態多次的違規
transcript.whisperx[43].start 2493.996
transcript.whisperx[43].end 2506.744
transcript.whisperx[43].text 故在我們這次修法當中我們台灣民眾黨的版本也填補散開的法律過程就提高提出了修正我們的第37
transcript.whisperx[44].start 2509.085
transcript.whisperx[44].end 2537.322
transcript.whisperx[44].text 第73條的提高慢車、獨駕跟獨駕聚車的一個劃緩的一個額度來維護我們交通秩序跟用路的安全所以我們臺灣民眾黨長團拟據了道路交通管理處罰條例部分條文的修正草案來有請我們各位委員來與支持以上
transcript.whisperx[45].start 2540.863
transcript.whisperx[45].end 2546.148
transcript.whisperx[45].text 好謝謝陳青龍委員的提案說明我們現在請列席機關報告請交通部次長陳彥博次長報告
transcript.whisperx[46].start 2558.301
transcript.whisperx[46].end 2580.159
transcript.whisperx[46].text 主席各位委員各位女士今天一腰列席貴委員會就貴委員會審查委員美玲台灣民眾黨團張委員志倫郭委員易晴林委員思敏洪委員孟凱黃委員秀芳林委員倩琦邱委員鄭鈞副委員坤琦王委員易川圖委員
transcript.whisperx[47].start 2581.319
transcript.whisperx[47].end 2606.104
transcript.whisperx[47].text 全集等相關委員及當團擬聚的道路交通管理處罰條例共14條修正提案提出本部的處理意見供委員參考針對社會關注新興毒品及毒價的問題本部已邀集相關機關擬聚道路交通管理處罰條例部分條文修正草案並經行政院於6月18日完成審查並於當日送函請大院來審議
transcript.whisperx[48].start 2607.924
transcript.whisperx[48].end 2626.063
transcript.whisperx[48].text 那有關羅委員美玲提案修正的第21條提高無照駕駛及累犯的划環建議維持現行的一個規定那有關台灣民眾黨團張委員志倫 郭委員易晴 林委員思敏 洪委員孟凱黃委員秀芳 林委員倩琦 邱委員
transcript.whisperx[49].start 2626.644
transcript.whisperx[49].end 2642.235
transcript.whisperx[49].text 政軍、副委員、昆旗、王委員、翊川、土委員、全旗等提案修正的二十一條、第二十一條之一、第三十五條、第三十五條之一、第三十五條之二、第三十五條之三、第三十五條之四、第六十四條加重酒駕及獨駕罰則建議可並後續行政院版建議的修正條文來中整、來審查
transcript.whisperx[50].start 2648.72
transcript.whisperx[50].end 2665.75
transcript.whisperx[50].text 那有關臺灣民眾黨團提案修正的第73條提高慢車的獨駕及獨駕拒策滑環的一個額度那我們尊重了貴委員會綜合審查的一個結果那有關副委員坤崎提案修正第35條之一增地防止再犯的一個設備
transcript.whisperx[51].start 2666.73
transcript.whisperx[51].end 2689.615
transcript.whisperx[51].text 建議由本部持續觀察國際間車輛法規發展的情形在適時的導入那有關洪源為孟凱提案修正的第67條希望能夠明文駕駛人駕駛執照於吊銷吊扣住銷及禁止考領駕駛執照期間不得再持外國政府或地區所發的駕駛執照或國際駕照
transcript.whisperx[52].start 2691.296
transcript.whisperx[52].end 2707.894
transcript.whisperx[52].text 來換花我國的駕駛執照這樣的一個情勢的規定因為現行的道路交通安全規則的第55條至2已有相關的一個規定所以我們建議是否可以不用再另行的增訂那以上僅先摘要的說明本部提出報告的一個終點
transcript.whisperx[53].start 2708.915
transcript.whisperx[53].end 2721.836
transcript.whisperx[53].text 及建議處理的意見 那接下來我就請公共運輸司胡司長就道路交通管理處罰條例 向各位委員做詳細的一個報告那最後謝謝委員的關心及指教 謝謝
transcript.whisperx[54].start 2733.43
transcript.whisperx[54].end 2756.935
transcript.whisperx[54].text 主席 各位委員 各位女士先生今天應邀製委員會就審查羅委員美玲 台灣民眾黨黨團張委員志倫 郭委員玉琴 林委員思敏 洪委員孟凱黃委員秀芳 林委員倩琦 邱委員政軍 副委員坤祺 王委員逸川 土委員全吉等委員及黨團所提
transcript.whisperx[55].start 2758.355
transcript.whisperx[55].end 2786.895
transcript.whisperx[55].text 道路交通管理處罰條例共14案修正案提出本部處理建議請報告如後進行指教針對獨家問題本部已邀集司法院法務部衛福部及內政部警政署等相關單位共同延長修法並以將相關條例送草案送行政院於6月18日審查通過並送大院審議那修法主要有三大方向第一是全面加重
transcript.whisperx[56].start 2787.735
transcript.whisperx[56].end 2793.74
transcript.whisperx[56].text 獨駕的一個處罰包括無論駕駛人是否為車主均沒入車輛獨駕改採吊銷駕照處分提高駕照及據冊罰環增訂明知獨駕人搭乘同車乘客處罰規定
transcript.whisperx[57].start 2803.789
transcript.whisperx[57].end 2824.529
transcript.whisperx[57].text 以及毒駕照吊銷駕照後再無照駕駛者加重處罰並募入車輛第二是建立吸毒者預防性駕照管理制度經確認吸食毒品者將預防性吊銷駕照兩年期間不得考照如再無照駕駛同樣加重處罰並募入車輛
transcript.whisperx[58].start 2826.775
transcript.whisperx[58].end 2847.781
transcript.whisperx[58].text 第三是強化戒癮管理因毒駕或者是吸毒處分者重新考照前需完成相關的教育、戒治或治療程序並符合六個月觀察期規定後,使能重新取得駕照以下針對相關委員及黨團提案修正重點提出本部處理建議
transcript.whisperx[59].start 2851.483
transcript.whisperx[59].end 2861.852
transcript.whisperx[59].text 羅委員美玲提案提高無照駕駛壘犯罰環部分由於本條例在今年1月大幅修正提高相關罰環及壘犯的一個處罰機制建議維持現行規定台灣民眾黨黨團提案提高
transcript.whisperx[60].start 2869.198
transcript.whisperx[60].end 2883.579
transcript.whisperx[60].text 酒駕、獨駕、據冊吊扣、吊銷駕照後仍無照駕駛之加罰金額部分建議給並同行政院版的一個修正草案綜合審查那張委員志倫、郭委員易晴、林委員思明
transcript.whisperx[61].start 2885.1
transcript.whisperx[61].end 2913.82
transcript.whisperx[61].text 紅委員孟凱黃委員秀芳林委員倩琦邱委員鄭鈞副委員坤琦王委員逸川土委員全吉以及台灣民眾黨黨團等提案加重酒駕獨駕處罰延長吊扣年限提高罰環沒入車輛同車乘客處罰加裝防止再犯設備強制治療教育等事項建議可以並同行政院的版本綜合審查那緊究重點說明如下
transcript.whisperx[62].start 2915.02
transcript.whisperx[62].end 2932.273
transcript.whisperx[62].text 有關臺灣民眾黨團副委員坤祺等所提獨家事故後強制採尿採驗尿液部分那警政署認為現行的刑事訴訟法已有相關的依據可執行建議無須令增訂郭委員疫情等針對酒駕累犯
transcript.whisperx[63].start 2935.916
transcript.whisperx[63].end 2957.525
transcript.whisperx[63].text 並註記身份證以及禁止販售酒類部分涉及內政部及菸酒防治法等主管機關的一個權責建議可以由相關主管機關再行評估那副委員昆齊等所提加裝再販防治設備部分我國已建立酒精所的一個制度那至於獨家防治設備目前國際間尚無成熟的技術與法規標準
transcript.whisperx[64].start 2962.307
transcript.whisperx[64].end 2982.199
transcript.whisperx[64].text 建議持續觀察國際的一個發展那再來是紅委員孟凱提案針對明知上司駕駛資格仍借用或租用車輛在於獨犯者加重處罰的部分本部認為有助於提高嚇阻的效果可建議可並同考量出累犯情形
transcript.whisperx[65].start 2982.859
transcript.whisperx[65].end 3009.219
transcript.whisperx[65].text 郭委員疫情等提案酒駕累犯應強制接受酒飲評估及治療部分現行法規已規定酒駕累犯重新考領駕照前需完成酒飲評估因此無需增訂那有關於邱委員政軍等就藥飲評估治療部分現行法規及行政院版本均已納入相關機制建議可以並按審查
transcript.whisperx[66].start 3011.068
transcript.whisperx[66].end 3030.862
transcript.whisperx[66].text 黃委員翊川及台灣民眾黨團提案配合相關條文修正調整條次援引部分建議並同相關條文整體審查令條文涉及一致保管車輛後續拍賣時效本部經徵詢地方政府意見建議由現行的三個月縮為一個月以提升執法量能也供委員會審查參考
transcript.whisperx[67].start 3032.783
transcript.whisperx[67].end 3047.352
transcript.whisperx[67].text 那紅火員孟凱提案明定駕照吊銷吊扣註銷競考期間不得持外國或國際駕照及換照部分現行道安規則已有相關的規定建議無需增訂
transcript.whisperx[68].start 3048.112
transcript.whisperx[68].end 3074.58
transcript.whisperx[68].text 那台灣民眾黨團提案提高慢車獨駕及拒策罰環部分有助於嚇阻效果本部尊重委員會審查的結果綜上感謝各位委員及黨團對獨駕防制議題的重視本部已會同相關單位提出配套修法草案並已送大院審議那本次提案可並同行政院版本審議那以上報告敬請委員指教
transcript.whisperx[69].start 3078.305
transcript.whisperx[69].end 3104.396
transcript.whisperx[69].text 好 謝謝我們司長的報告其餘機關的訴訟報告我們都列入記錄 那看待公報我們現在開始進行詢問 先宣告以下事項詢問時間 初期委員6加2分鐘列席委員4加1分鐘委員發言登記於10點30分截止各委員如果有臨時提案請於10點前提出 以便議事人員會診然後我們暫定10點30分 休息10分鐘現在請登記第一位李昆哲委員發言
transcript.whisperx[70].start 3112.595
transcript.whisperx[70].end 3117.583
transcript.whisperx[70].text 謝謝召委 請一下陳彥博次長以及林福山林局長來請次長跟林局長委員好
transcript.whisperx[71].start 3124.873
transcript.whisperx[71].end 3136.137
transcript.whisperx[71].text 市長 獨駕的議題是社會大眾所最重視的一個議題那我們看到警政署相關的一個統計歷年查獲的獨駕件數是成長越來越快2024年有2619件 2025年達到8659件
transcript.whisperx[72].start 3147.022
transcript.whisperx[72].end 3150.566
transcript.whisperx[72].text 那2026年的1到5月就已經成長到6730件 這才是1到5月
transcript.whisperx[73].start 3154.502
transcript.whisperx[73].end 3177.143
transcript.whisperx[73].text 那獨駕建樹的這樣的一個快速成長造成社會極度的不安當然交通部也提出相關的修法內容包含調扣改調銷出犯及累犯的一個加罰還有沒入車輛以及相關知情的同乘的一個責任那我們來看
transcript.whisperx[74].start 3178.864
transcript.whisperx[74].end 3204.594
transcript.whisperx[74].text 獨駕的方式當然是要從源頭的遏止獨營者的駕駛行為交通部應該是要跟警方來合作針對確認施用毒品的成癮濫用者要先吊銷他的駕照避免獨營者駕駛車輛上路交通部針對這個部分有沒有更具體的一個修法內容 來說明一下
transcript.whisperx[75].start 3208.162
transcript.whisperx[75].end 3234.367
transcript.whisperx[75].text 跟委員報告有關委員特別提到就是有毒飲的或曾經吸毒的這些是不是他的駕照來吊銷我想這一次在道路交通管理處條例第35條就有特別提到吸食毒品毒品迷幻迷幻藥麻醉藥品或相類似的管制藥品經警察機關確認後我們就會直接吊銷他的駕駛照所以有關如何確認那如何跟警察之間如何聯繫
transcript.whisperx[76].start 3235.587
transcript.whisperx[76].end 3251.293
transcript.whisperx[76].text 這一部分呢在我們後續這個法實施之後必須要有相關的串接系統就是確認他吸食毒品之後我們經過我們的串接系統來吊銷他的一個駕照我們相關的毒價的一個防治的教育
transcript.whisperx[77].start 3252.313
transcript.whisperx[77].end 3274.449
transcript.whisperx[77].text 還有相關的觀察樂界以及強制的戒制還有毒品的戒癮治療以及相關的毒品危害的講習這個都必須要實施那你們相關的完成這些講習以及這些治療之後他完成的六個月內
transcript.whisperx[78].start 3275.899
transcript.whisperx[78].end 3297.404
transcript.whisperx[78].text 必須啊還沒有再適用的這個紀錄這個也要更明確那才可以重新考照這個考照是三年的短期駕照來說明一下對我跟委員報告一下有關這樣的一個讀駕也好或者是被這個剛才講的有吸毒者我們
transcript.whisperx[79].start 3298.004
transcript.whisperx[79].end 3323.385
transcript.whisperx[79].text 然後會掉下他的駕駛執照然後駕駛執照會有一個進考期那進考期完了以後他是可以考領駕照的但是在考領駕照的時候就是要就是委員剛才特別提到的要經過一系列的有關像獨駕的一個防治教育或毒品的戒護毒品的戒癮治療或是毒品的危害講習等等都完了以後
transcript.whisperx[80].start 3324.265
transcript.whisperx[80].end 3339.55
transcript.whisperx[80].text 才可以去考照那考完照以後六個月的觀察期都沒有再吸毒這個必須要有更明確的規範跟執行這個部分在我們的這個後實施的時候在這個法規裡面會做更明確的規範那我們針對啊
transcript.whisperx[81].start 3341.41
transcript.whisperx[81].end 3352.635
transcript.whisperx[81].text 歷年的再犯率的一個統計比較 司法官學院的犯罪防治研究中心他們有研究2007年到2014年 5年內的一個再犯率
transcript.whisperx[82].start 3356.576
transcript.whisperx[82].end 3367.828
transcript.whisperx[82].text 其實都讓我們看得觸目驚心的 拆換率是非常高那華為部也統計相關的這些吸毒他們的兩年內的再販率也是非常高2021年33%2022年35.4%2023年
transcript.whisperx[83].start 3375.223
transcript.whisperx[83].end 3404.286
transcript.whisperx[83].text 達到37.7%這個再販率都是非常的高那我們針對這個部分獨家房子應該是要從源頭來開始那預防性的吊銷駕照那重新考照前就必須要進行戒指以及考照前沒有適用沒有適用紀錄這個要很明確而且短期駕照期間應該要建立追蹤的機制
transcript.whisperx[84].start 3405.486
transcript.whisperx[84].end 3426.084
transcript.whisperx[84].text 要求駕駛人要進行檢驗跟醫療的評估另外我們以再換機率跟風險程度來建立評估的一個機制就是說我們要以年、半年或是季不同的期間來進行定期的一個追蹤的檢查
transcript.whisperx[85].start 3426.744
transcript.whisperx[85].end 3452.799
transcript.whisperx[85].text 那同時伊托米茲它的代謝期最長僅僅只有三天那要建立抽菸的一個機制那我們要努力的就是說建立追蹤機制不僅避免再次出現這種食用毒品的狀況之外也是追蹤個案的狀態讓我們給予這些成癮的患者必要的輔導
transcript.whisperx[86].start 3454.492
transcript.whisperx[86].end 3471.466
transcript.whisperx[86].text 還有交通部有沒有跟衛福部來協商就是協調醫療體系來進行相關的協助那這個部分未來會不會納入相關的規劃呢或者是編列相關檢驗的行政費用呢來次長說明一下
transcript.whisperx[87].start 3471.986
transcript.whisperx[87].end 3499.42
transcript.whisperx[87].text 對 我想委員剛剛特別提到的就是有關毒癮的後續的戒癮戒治的這個問題那現在國內大概有兩個體系在做一個是司法體系在做一個是衛福部的體系在做但是不管是哪個體系來做的時候我們交通部後續大概都會跟這個兩個機關來接洽是不是交通部在因為交通部最後有考照發照的這個機制是不是有什麼方式可以在這個時候
transcript.whisperx[88].start 3500.16
transcript.whisperx[88].end 3521.529
transcript.whisperx[88].text 大家互相來聯繫來建立這個長期追蹤管考的一個機制那你必須要盡快的跟衛部來談一下是我們在這樣的情形下我們交通部可以再做一些什麼市長我們現在不只加重划緩而且要加強這些無照者的一個追蹤那我們公路局有統計2025年
transcript.whisperx[89].start 3524.19
transcript.whisperx[89].end 3538.298
transcript.whisperx[89].text 未繳納滑環但是已經被強制執行中的交通滑環金額及件數2025年是達到31億7960萬2025年的件數是高達135萬件就是未繳納滑環已經是被強制執行中件數是這麼高那行政執行署也統計以9架滑環為例2022年
transcript.whisperx[90].start 3553.823
transcript.whisperx[90].end 3582.646
transcript.whisperx[90].text 我們累積的案件跟新增的強制執行的件數達到18544件但是有處理的有終結執行的件數只有4195件那這個問題是非常的嚴重我們針對無照者加重處罰他可能是有部分的嚇阻的一個作用那但是如果只是增加
transcript.whisperx[91].start 3583.967
transcript.whisperx[91].end 3595.289
transcript.whisperx[91].text 罰款的一個做法沒有其他規範管理的一些方式的話對於部分他已經被吊銷但是他已經沒有打算要重考
transcript.whisperx[92].start 3596.109
transcript.whisperx[92].end 3614.151
transcript.whisperx[92].text 或是他直接就要無照駕駛而不願意繳納的這些人反而會失去約束的能力那也針對這些無照者交通部目前有沒有相關的追蹤以及規範管理的機制來說明一下
transcript.whisperx[93].start 3617.459
transcript.whisperx[93].end 3640.39
transcript.whisperx[93].text 來林局長我們剛剛關注的這個課題大概有兩個重點那第一個部分的話大概有一些這個動道違規包括酒駕或是無照駕駛壘犯這些然後這個前部駕然後移送強制執行後面執行的這些效率的部分那這個部分的話大概公務局各區監獄所跟各地的行政執行這個分署的部分都有合作的一個機制包括
transcript.whisperx[94].start 3641.27
transcript.whisperx[94].end 3663.623
transcript.whisperx[94].text 這個相關資料數位化然後財產的一個這個盤查的一個這個自動化那另外一個部分的話我們人也注點到這個各分署去幫忙提高這些強制這個執行的效率那另外一個部分的話大概也跟行政署有針對這個就是說比較重大違規的部分都列為強制執行就是優先處理的
transcript.whisperx[95].start 3664.483
transcript.whisperx[95].end 3686.763
transcript.whisperx[95].text 一個對象那這個部分的話公務局跟行政執行署這邊大概都有這個現在都有這個很好的一個合作這個平台的部分那第二點剛剛我們有提到就是說對於無照駕駛這些相關的一個這個部分目前大概這個公務局這邊比較側重的部分大概是在這個未成年這個無照駕駛這個就是這個輔導的一個部分
transcript.whisperx[96].start 3689.705
transcript.whisperx[96].end 3713.908
transcript.whisperx[96].text 那對於這個就是說成年人就是說一般這個成年人這個無照駕駛累犯這個部分的話我們後面配合新法這個部分再來研議看看是不是有更好的效率好 針對這個部分針對無照駕駛如果他獨照遭到吊銷而再次的無照駕駛他可能取得車輛的管道當然就是重新購買或者是借用親友的車輛
transcript.whisperx[97].start 3714.989
transcript.whisperx[97].end 3741.727
transcript.whisperx[97].text 或者是借用他人的名利來租借那針對這種這三種可能取得車輛的來源交通部是否可以嚴厲第一我們獨駕者在重新取得駕照之前提出暫時性的禁止措施這個來處理那第二就是強化宣導車輛介於使用
transcript.whisperx[98].start 3744.076
transcript.whisperx[98].end 3766.099
transcript.whisperx[98].text 可能會帶來的風險要加強宣導另外在租賃車方面除了車輛摸入主要會是租賃者與租賃公司之間的財產損失的一個民事問題那是否可以新增如果說以自身名義租借車輛給無照者使用的一些行政的划反來說明一下
transcript.whisperx[99].start 3767.795
transcript.whisperx[99].end 3791.23
transcript.whisperx[99].text 我想跟委員報告有關這次獨駕的一個修法最重要的就是不論是不是汽車所有人都一律沒入這樣的一個規定但是這個規定裡頭就會造成剛才講的租賃業者也好或者是不是有意要租給他的等等這種情形所以透過這種方式我們在討論的過程裡頭也特別提到
transcript.whisperx[100].start 3792.25
transcript.whisperx[100].end 3815.424
transcript.whisperx[100].text 行政法法的第22條有一個很重要的規定就是說是不是要構成這個處罰有一個是不是故意跟或有重大故意或有重大過失的這樣的情形如果沒有的話就不予處罰所以剛才特別委員特別提到如果像租車業者他已經善盡了相關的責任租了以後那這樣的一個行為是可以不用處罰
transcript.whisperx[101].start 3816.044
transcript.whisperx[101].end 3844.102
transcript.whisperx[101].text 但是如果有一種情形是我租給了鄰居長來跟我租車然後他就把車子又租給別人那他那樣的就變成是說鄰居長在租這個租了這個車以後他把車子交給了這個酒駕的那他就沒有善盡他就是有一點是故意或重大過失那這樣那個部分就要做處罰所以有關這樣的一個處罰的一個規定我們在後續的執行的情形會予以明確的說明讓大家都知道
transcript.whisperx[102].start 3844.462
transcript.whisperx[102].end 3863.984
transcript.whisperx[102].text 其實重點就是車輛不要就是跟委員特別講到不要借給這種有獨駕的行為的這個駕駛好最後我們也提到相關的同乘責任他其實他的相關的實務執行應該要明確要向社會大眾來做說明那
transcript.whisperx[103].start 3865.846
transcript.whisperx[103].end 3877.191
transcript.whisperx[103].text 這次獨架的修法它的核心就是一坨米子那它經常是混在電子煙油中來進行使用其實外觀難以發現那
transcript.whisperx[104].start 3880.117
transcript.whisperx[104].end 3905.137
transcript.whisperx[104].text 而且他們同時也添加了各種的添加劑各種不一樣的添加劑在味道上他並沒有特定的這樣的一個特徵那駕駛的過程中他也會隨時的隨手的吸食那對比酒駕他是有明確的酒味明顯的酒味或者是酒品那而且飲用的地點也相對的受限
transcript.whisperx[105].start 3905.777
transcript.whisperx[105].end 3913.614
transcript.whisperx[105].text 那一吞米子的這樣的一個濫用啊他這種行為除了專業的一個檢驗那或者是藥物
transcript.whisperx[106].start 3915.222
transcript.whisperx[106].end 3942.743
transcript.whisperx[106].text 發生 藥物作用啊它發生的產生影響啊它其實比較困難拿你察覺啊或者是跟確認那交通部有沒有宣導的策略或者是讓民眾能夠有效的辨識說它一通密子的這種濫用的行為那以及啊 乘客在現場如何讓自己避免陷入危險這個都要明確的說明啊
transcript.whisperx[107].start 3945.05
transcript.whisperx[107].end 3968.535
transcript.whisperx[107].text 我想委員特別關切就是說對於就是如何分辨是有吸食毒品或吸食毒品的徵兆等等的這樣的一個宣導我們後續會透過跟警政或者是司法單位大家取得相關其實我手上也有已經有的相關的這個宣導的一個特徵的資料所以這部分我們會來加強宣導在我們之前提到的相關的總統作為
transcript.whisperx[108].start 3969.795
transcript.whisperx[108].end 3994.248
transcript.whisperx[108].text 都可以有很明確的做法跟執行的方式但是同乘責任他在實務的執行我們要有明確的標準規範以及宣導不要讓社會來誤解或者是因為不了解產生爭議的相關狀況這是交通部必須要更有明確的一個做法是這部分我們後續會在執行的時候來加強宣導
transcript.whisperx[109].start 3997.486
transcript.whisperx[109].end 4014.075
transcript.whisperx[109].text 好謝謝李昆哲委員謝謝次長謝謝局長接下來我們請下一位發言侯孟楷委員發言好主席謝謝麻煩請陳次長好請次長
transcript.whisperx[110].start 4022.521
transcript.whisperx[110].end 4041.629
transcript.whisperx[110].text 市長好獨駕零容忍但是我們看到現在獨駕的事件還是頻傳就這兩天的新聞彰化大型連結車撞民宅獨駕車內搜出毒品還有槍彈駕駛遭羈押前兩天獨駕在三歲女兒撞入安全帽墊駕駛是育兒罔紅
transcript.whisperx[111].start 4050.046
transcript.whisperx[111].end 4078.002
transcript.whisperx[111].text 還有我們看到6月20號的時候5000名警力全台抓毒架一個晚上查獲155件換言之這絕對不是冰山一角這其實是過去可能因為毒品的這個檢視沒有說那麼的明確而沒有辦法及時的掌握再加上新興毒品的氾濫現在吸食這一托米子的門檻非常的低甚至可能
transcript.whisperx[112].start 4079.022
transcript.whisperx[112].end 4106.28
transcript.whisperx[112].text 購買也相對方便也因此造成這樣的一個漏洞但本時要講的是吸食毒品本身就已經是犯法更重要的是你不能吸食毒品之後還開車上路車子就已經變成是殺人兇器所以我想我們看到行政院的版本這邊有一起共同的方向那我就先來請教行政院的版本裡面是講是說所有毒價就是一路一路沒路車輛對不對好那我們要怎麼樣執行
transcript.whisperx[113].start 4108.246
transcript.whisperx[113].end 4131.241
transcript.whisperx[113].text 說明一下 因為現在的狀況 本市有看到五千名警力全台抓獨駕一個晚上 查獲一百五十五人當中扣留了一百五十四輛車好 一百五十四輛車那這是第一步扣留 就是在第一線的一個執行的時候你只要確認他是獨駕 或說那個柿子有反應車輛馬上就扣留那再來是一致保管那一致保管之後 怎麼樣
transcript.whisperx[114].start 4132.775
transcript.whisperx[114].end 4150.09
transcript.whisperx[114].text 移植保管車輛以後他後續呢就要看這個獨駕的一個行為因為他有的可能是如果是觸犯刑法的話就會從刑事法令的那個去去完成相關的一個程序程序都完備了以後然後才確認是要沒入這個車輛
transcript.whisperx[115].start 4150.851
transcript.whisperx[115].end 4165.623
transcript.whisperx[115].text 沒有 所以但是我現在講的是說我們先來版本嘛就我們要求是獨駕就是末路車輛嘛本系列版本也是如此行政版本也是如此末路車輛只是最後的這個行政處分的的最終結但是你剛剛委員會不會提到所以這樣子有可能過程的時候查到
transcript.whisperx[116].start 4166.323
transcript.whisperx[116].end 4192.488
transcript.whisperx[116].text 他查到的時候他的車輛就已經是我們一致保管其實就已經達到這個有一點是末路就是他不能再使用了那至於他相關的程序如果是觸犯刑法的要刑法的相關的要程序要走完的以後通常一般的案件來講走完會多久這個就要看這個不是 你們不能制定法令你不了解整個流程那如果不了解整個流程的話那有可能一個晚上就155台
transcript.whisperx[117].start 4193.928
transcript.whisperx[117].end 4214.037
transcript.whisperx[117].text 那我現在就探討比較務實就怎麼樣執行層面因為本席剛剛提案說明你也有聽嘛我們重點是說我們現在拉很高就是說我告訴你說獨駕就是末路車輛所以大家不要心存僥倖那但是我現在要探討就是說實際你們要怎麼執行是交通部跟法務部跟警政署大家共同要配合啊
transcript.whisperx[118].start 4214.537
transcript.whisperx[118].end 4227.355
transcript.whisperx[118].text 是沒有錯所以他的車子會先移到我們的監理機關監理機關所以目前監理機關有多少我們譬如說全台以台北市來講好不好台北市現在有多少譬如說獨駕我們已經這個一致的這個車輛放在監理機關
transcript.whisperx[119].start 4229.229
transcript.whisperx[119].end 4249.049
transcript.whisperx[119].text 跟委員報告一下我大概補充說明一下就是說第一個部分的話大概現行稽查的部分的話大概也就是說比如說這個獨駕或是這個酒駕的部分的話大概會有涉及到刑法跟這個處罰條例的一個部分那基本上這涉及到行政法的一個部分的話就是當場這個舉發然後這個一致保管車輛
transcript.whisperx[120].start 4252.392
transcript.whisperx[120].end 4281.153
transcript.whisperx[120].text 那一次保管車輛就會先拖回這個各執法機關的這個車輛局長你沒有聽得懂我的問題我現在是問說現在SOFA有多少因為就剛剛次長講說他不確定說這個流程要走多久假設三個月那三個月內有多少車輛就會被保管在那邊那以及我們現在講沒路如果說我們現在已經確定就是說我們的修法方案一次沒路的話那車輛就要處理嘛這是整個配套措施但目前為止沒有看到我們的配套
transcript.whisperx[121].start 4282.233
transcript.whisperx[121].end 4305.841
transcript.whisperx[121].text 車輛儀式保管場的部分是在各地方警察執法機關這邊所以22個縣市各執法機關都有配置這一個相關所以不是監理站是警察機關所以你剛剛也講錯了嘛好那沒關係那現在移入到警察機關之後譬如說三個月內確認那我們要沒入車輛就要做處理嘛因為不可能無限保管嘛
transcript.whisperx[122].start 4306.261
transcript.whisperx[122].end 4321.602
transcript.whisperx[122].text 我現在講的就是說末路車輛完之後案子裁決完 定案完之後車輛就處理了那車輛處理的部分的話各地方政府都有訂這個車輛這個就是保管處理的辦法包括拍賣包括誰執行這個消費就是
transcript.whisperx[123].start 4324.386
transcript.whisperx[123].end 4339.467
transcript.whisperx[123].text 各處罰機關來處理各處罰機關所以又是警政單位跟我們報告舉法是在警察機關但是裁決確定完之後處罰機關在六都就是這個交通局地方政府那在16個縣市的部分是在我們各監理機關
transcript.whisperx[124].start 4340.288
transcript.whisperx[124].end 4359.038
transcript.whisperx[124].text 是好來那今天我們討論相關宣傳到目前為止警政署也沒有上來然後我們地方政府也沒有來但本席要講的是市長本席為什麼會提這個問題其實就是大家已經看到我們都支持末路車輛這是本席先提出來的版本嘛但本席現在要講的是說我們後續的執行
transcript.whisperx[125].start 4360.299
transcript.whisperx[125].end 4381.586
transcript.whisperx[125].text 如果我們怕是說我們修法完之後沒入車輛結果到最後變成是車輛大塞車啊沒有地方去保管以及趕快要去做處理來 委員沒入車輛或車輛保管一致保管的這個在處罰條例裡頭都已有明文規定而且實施運作很久而且都有訂定相關的一個辦法在做處理所以這
transcript.whisperx[126].start 4382.646
transcript.whisperx[126].end 4400.001
transcript.whisperx[126].text 大部分是警察 警官所以我覺得是不是可以請警務署來說明一下這個程序所以不會造成剛才委員講的漏路了以後車輛是沒辦法處理的你現在就是本席我們就提出來的修法我現在就要問整個流程你現在很顯然就是你沒有算出那個數目嘛
transcript.whisperx[127].start 4400.976
transcript.whisperx[127].end 4423.349
transcript.whisperx[127].text 如果說我們一個晚上有150幾台那你要那個時間好啦 市長你這樣子你給本席一個完整的說明以及就是說你們現在整個配套那本席有提到剛剛我開宗明義提案說明的時候就有講到本席的版本跟行政院現在最大的不同就行政院是說一律沒路但是如果說他是偷來的車咧那要不要沒路
transcript.whisperx[128].start 4425.289
transcript.whisperx[128].end 4452.649
transcript.whisperx[128].text 這個是我剛才有跟這個委員特別提到的就是說行政法法大概22條有特別提到非出於故意過失不罰所以說原則上還要看這樣的一個行為是不是所以我們不要讓這個毒蟲他去鑽這個漏洞嘛如果說他敢已經他是吸毒了然後他故意去偷別人的車來開甚至像剛剛本席講到的彰化這個連結車他有可能那個連結車不是他自己的車他是公司車
transcript.whisperx[129].start 4453.59
transcript.whisperx[129].end 4472.344
transcript.whisperx[129].text 那這樣會變成是說那台車也不會沒路是不是要善盡保管責任原則上他的這個公司車的話這個被沒路的機會很大公司車也可以被沒路當然啦如果說公司這個負責人已經有告知他了但是他還是去獨駕
transcript.whisperx[130].start 4473.465
transcript.whisperx[130].end 4490.222
transcript.whisperx[130].text 那要看他怎麼告示他不是簡單的告示兩個字就因為他還是牽涉到公私治理啊但是本席沒有錯當然公私治理一定很重要就是說本來相關的人也有相關的責任但本席現在講的是說這個獨駕的部分這個駕駛者他也要加重處罰
transcript.whisperx[131].start 4491.323
transcript.whisperx[131].end 4520.1
transcript.whisperx[131].text 本席也認為是說他就如果說他有偷來的車他有或者是說去租車甚至現在相關的租車的平台很方便假設他是用這個共享機車甚至騎U-bike那這樣子會不會認定那不管怎麼樣本席認為是說只要你吸毒之後還去上路這其實就已經是不特定的殺人的一個故意也因此本席要講是說那這樣的話他應該要加重他的刑責
transcript.whisperx[132].start 4521.401
transcript.whisperx[132].end 4540.497
transcript.whisperx[132].text 加重行程的部分我跟委員報告要問一下法務部或其他單位因為處罰條例沒有在處理新則的那加重罰緩呢加重罰緩的話原則上我們就尊重整個委員會大家討論的一個結果所以算是可以正面不會反對就對了對於加重罰緩我們不會反對
transcript.whisperx[133].start 4543.431
transcript.whisperx[133].end 4568.216
transcript.whisperx[133].text 來那最後本席還在提到一個就是說這也是參考韓國現在的一個方向就是說韓國他們也面臨獨駕也是相對嚴峻也因此他們也有提出來就是連坐的一個部分但現在我們大家考慮到比較多的一個層面是說如果說乘客同車的一個乘客他要去判定說是不是明知駕駛他有吸毒來開車這可能就是一個未來在
transcript.whisperx[134].start 4569.256
transcript.whisperx[134].end 4592.744
transcript.whisperx[134].text 認定上面如果總不能讓這個駕駛這個乘客他就一句說他不知道然後就好像脫身脫罪所以在這個部分我們有沒有相關的配套我想這部分這個在這個法定在討論的時候過程中我們大概就有跟因為這牽涉到實務執行警察在取締的問題所以我們大概有請教過警政署那如果有必要的話等一下也可以請警政署來做說明
transcript.whisperx[135].start 4593.504
transcript.whisperx[135].end 4620.68
transcript.whisperx[135].text 那原則上呢 剛才委員特別提到的各種情勢呢還是要依個案的事實來判定他是不是是否已經知道明知或可得知駕駛人施用毒品以及是否未盡勸阻的義務等等來判斷他是不是可以免責所以原則上不會是說他一句說他不知道 他不知道就可以脫罪是 對不對因為那相關的一個處理程序我們也是會在後續施行的時候來跟大家明確的宣導
transcript.whisperx[136].start 4621.34
transcript.whisperx[136].end 4641.046
transcript.whisperx[136].text 好 因為食物上其實這就是次長你有抓到重點食物上很有可能現在依托米子因為電子煙相對方便也因此很多的獨駕其實他的樣態是邊開邊吸那如果說邊開邊吸的話同車的駕駛不可能不知道這第一個第二個為什麼會講是說同車的駕駛會讓這一個人開車說不定同車的駕駛吸更多
transcript.whisperx[137].start 4646.991
transcript.whisperx[137].end 4661.63
transcript.whisperx[137].text 可能他譬如說兩三個人這跟酒駕其實是類似的酒駕一台車譬如兩三個人的時候為什麼會指定那個駕駛開車可能是因為四個人三個人都有喝酒那只是那個人喝的相對少然後他來開車那一樣的道理如果說獨駕的話
transcript.whisperx[138].start 4662.871
transcript.whisperx[138].end 4690.091
transcript.whisperx[138].text 會不會同車都有吸食的一個狀況那當然同車的駕駛該檢驗譬如說攔檢到車輛駕駕駛假設有毒價反應的話同車駕駛是不是應該也要一併來做一個毒價的毒品的檢視這一點在實務上來講是不是應該要一起支持這可能就要由現場執行的員警來判斷警政署能幫我回答一下今天交通警政署來的單位是交通組的副組長
transcript.whisperx[139].start 4696.978
transcript.whisperx[139].end 4718.717
transcript.whisperx[139].text 呃 該委員報告一下那個車子攔查下來的時候我們會看看車駕駛人還有其他車主如果現場有毒品的話我們可能都會一併帶回去這個車內有毒品就是所有同車都一起幾乎我們都會帶回去N一下是啦 那但是我現在講說比較現場實務的狀況是如果說第一你還沒有辦法攔
transcript.whisperx[140].start 4720.47
transcript.whisperx[140].end 4733.961
transcript.whisperx[140].text 盤查車裡面的狀況嘛那你第一步一定是先檢視這個駕駛人的反應嘛那駕駛人反應之後就先讓他做試紙的一個測試那測試完假設是陽性反應 有吸毒那同車乘客是不是一併也一起測試
transcript.whisperx[141].start 4737.242
transcript.whisperx[141].end 4761.935
transcript.whisperx[141].text 觀察看看其他車族他有沒有如果是有其他不是觀察比較有可能的因為大概通車的情況來講都是吸毒人口會聚集的比較多一點是嘛這就實務上的狀況嘛實務上的大概是這個情形跟那我們看看這個通車有沒有其他比如說小朋友這些我們都不困住我們只會注重有沒有類似吸毒人口聚集在一起的這種關聯性比較大的
transcript.whisperx[142].start 4762.495
transcript.whisperx[142].end 4782.09
transcript.whisperx[142].text 那就做一個一個觀察如果需要的話我們就待會去做一個後續的一個盤查好所以這就是警務警政署的第一線的一個經驗那我想交通部我們這邊也了解就是說在修法的過程裡面我們就共同就是獨駕連坐其實它的意義在於是互相提醒跟互相要求就不要開車
transcript.whisperx[143].start 4783.231
transcript.whisperx[143].end 4800.402
transcript.whisperx[143].text 你吸毒已經是違法了那你就不要開車上路那如果說你還敢跟已經吸毒的人駕駛一起開車上路抱歉你也有責任你也有不管是刑責不管是罰款都要一併連帶責任要求他們就是這樣子互相警惕不要開車這跟嚇阻酒駕是一樣的概念
transcript.whisperx[144].start 4801.522
transcript.whisperx[144].end 4827.695
transcript.whisperx[144].text 獨駕更為嚴峻是因為你可能邊開邊吸會造成更多人不確定的因素的一個傷亡好不好那我們逐條討論的時候也請次長也請相關同仁針對本席的版本能夠加強的態度我們加強還有更重要當我們修法三讀通過之後報導讓大家知道現在獨駕就是一摩托車一樣你開超跑我摸超跑你騎摩托車我摸摩托車
transcript.whisperx[145].start 4828.255
transcript.whisperx[145].end 4835.384
transcript.whisperx[145].text 你開什麼車我就沒什麼車讓他知道不要上路最重要好不好謝謝謝謝韓文凱委員的發言謝謝次長各個單位現在請徐富奎委員發言
transcript.whisperx[146].start 4851.315
transcript.whisperx[146].end 4857.739
transcript.whisperx[146].text 謝謝主席 有請我們交通部陳次長好 請陳次長公務局林局長請林局長警政署陳副組長好 請警政署陳副組長
transcript.whisperx[147].start 4861.494
transcript.whisperx[147].end 4886.491
transcript.whisperx[147].text 委員好市長 局長早安好我想這個獨駕最近這個幾乎每一天的新聞報導都可以看得到這個獨駕的一個造勢的一個狀況那也造成這個社會人心惶惶那未來政府如何重振重拾人民的這個上路的一個信心我想應該也是行政院跟我們相關的一個部會團隊應該努力的一個方向所以這個我看我們院長也提出這個獨駕
transcript.whisperx[148].start 4887.672
transcript.whisperx[148].end 4902.514
transcript.whisperx[148].text 林榮文的一個相關的一個政策啦那不然我看今天早上我有看到新聞我們今天行政院的院會應該也會針對獨教有一些重要的一些宣示嘛 陰害防止跳例對嘛 應該有這樣的一個做法那不過根據我們調閱的相關資料
transcript.whisperx[149].start 4904.717
transcript.whisperx[149].end 4926.775
transcript.whisperx[149].text 從今年的1月到2月道路交通的事故裡面因為吸食這個毒價造成這個死亡的人數有高達4人那受傷的人數68人相較於去年同期10人增加了6.2倍之多那我們刑事警察局統計截至今年到5月為止一共查獲的毒價高達6730件那我們以相關的公共危險來移送
transcript.whisperx[150].start 4932.279
transcript.whisperx[150].end 4948.146
transcript.whisperx[150].text 以統計來看每天平均就有44位的一個獨家的一個案件上路非常非常的恐怖那我想當然我們現在包含交通部也好我們這個警政署也好我們大家應該要共同來面對這樣一個問題不過我想最近我們也發現一個狀況
transcript.whisperx[151].start 4949.486
transcript.whisperx[151].end 4969.265
transcript.whisperx[151].text 因為現在有許多的這個我們的年輕朋友他們一邊抽這個電子鹽一邊開車或是騎車那我們可能就會有熱心的民眾誤認為這個會不會是一個獨家的一個行為那這樣的一個取締甚至一個這個彼此不信任的一個感覺自然怎麼看待這樣的一個狀況
transcript.whisperx[152].start 4971.741
transcript.whisperx[152].end 4982.71
transcript.whisperx[152].text 我想這個獨駕的一個行為就是一個是應該要大家共同來防治的所以剛才特別提到就是說這個開車一邊使用這個電子煙原則上電子煙本來就是一個違禁品
transcript.whisperx[153].start 4990.916
transcript.whisperx[153].end 5009.153
transcript.whisperx[153].text 然後相關的 所以剛才特別提到今天院會大概會通過有關沿海防止條例的相關的規定從販賣運送持有等等的都會予以加以處罰等等的所以有關這部分我們是認為支持這樣的一個政策啦也應該要這樣走
transcript.whisperx[154].start 5010.754
transcript.whisperx[154].end 5031.415
transcript.whisperx[154].text 好那不過我想這個當然我們行政院現在針對我們不一樣的多重面向來嚴防獨家事件不過還是有幾個問題必須要再做討論那因為現在因為我們的唾液的篩檢快篩還是有存在一個尾音性的一個問題那所以我們第一線的執法的同仁他現在大概只能用
transcript.whisperx[155].start 5032.296
transcript.whisperx[155].end 5053.764
transcript.whisperx[155].text 先用肉眼來判斷說這個可能這個行為上面有明顯失控甚至可能有一些的疑似度假的狀況所以我們應該很容易去做處理但是針對剛吸食不久還沒有發作甚至這個還沒有達到這個四季敏感的門檻的時候可能會變成漏網之雨那針對這部分我們警政署有沒有什麼樣的一個作為
transcript.whisperx[156].start 5061.435
transcript.whisperx[156].end 5084.373
transcript.whisperx[156].text 跟委員報告在114年的11月20號到今年的3月31號我們原型的那個查獲的那個唾篩四季陽性的獨駕我們都是依照那個作業程序的規定完成那個唾篩跟採尿的部分然後比對經比對那個檢體跟那個
transcript.whisperx[157].start 5087.418
transcript.whisperx[157].end 5102.866
transcript.whisperx[157].text 他的那個毒品的項目都是比對都是準確的然後顯示那個我們的那個破篩的那個快篩的陽性的預測率是達到100%都沒有那個偽陰或是偽陽的那個情勢
transcript.whisperx[158].start 5104.781
transcript.whisperx[158].end 5121.689
transcript.whisperx[158].text 所以我們第一線執法我們不會只要有發現疑似狀況我們就是一律來做檢測嗎那是要有那個獨駕的那個增後的情形之下那我剛提的是說如果說他剛稀釋不久表面上看起來都合適合適你們會不會做這個一個檢測
transcript.whisperx[159].start 5124.293
transcript.whisperx[159].end 5141.297
transcript.whisperx[159].text 有稀釋一定會啊假如他有那個毒品的那個症候的話我們就會做這個檢測我剛講的意思就是第一線因為我剛稀釋可能我看起來是好好的啊但是我事實上我是獨家上路了啊你們怎麼去判斷這個狀況這個應該不難回答吧
transcript.whisperx[160].start 5152.546
transcript.whisperx[160].end 5175.5
transcript.whisperx[160].text 如果這樣子連這樣都沒辦法處理,那我看很多漏網之魚,這很麻煩如果我們車內有發現伊托米子吸食器之類的情況的話我們會即便他剛吸食,如果員警有發現毒品的話,我們還是會請他使用唾篩試劑對嘛,所以我的意思就是說我們應該要用更謹慎的態度來做這樣的一個處理啊
transcript.whisperx[161].start 5176.786
transcript.whisperx[161].end 5194.123
transcript.whisperx[161].text 好 應該是這樣子嘛 對對對要不然不是等到他發生事故之後才發現是獨家 那就不會有錢了是不是這樣子 對對對所以警政署應該是跟我們第一線同樣應該是要有更嚴謹的SOP才對吧有有有 我們都有在宣導 各類匯報都會在加強宣導那剛剛我們有提到說這個篩檢率是100%對
transcript.whisperx[162].start 5197.981
transcript.whisperx[162].end 5211.015
transcript.whisperx[162].text 所以我們現在有針對更精準的一個快篩工具來進行研發嗎因為這個上有政策下有對策這個毒品的樣態越來越多這個製造的人也越來越厲害我們有沒有做怎樣一個經濟的一個作為
transcript.whisperx[163].start 5212.675
transcript.whisperx[163].end 5228.099
transcript.whisperx[163].text 因為我們目前的話我們採購的試劑都是採符合歐盟跟規範跟美國FDA認證的一個拓篩試劑那像最近的話可能依托秘職會有人反映說可能他有其實比較就是他的拓篩試劑可能會
transcript.whisperx[164].start 5230.26
transcript.whisperx[164].end 5247.233
transcript.whisperx[164].text 需要濃度比較高才檢測出來那我們要我們有為了要提升那個快篩檢驗量呢我們會向市際的供應商要求我們要檢測預值會全面降低這樣是啦我想我們還是要與時俱進的真的這樣的一個犯罪的一個太陽的不斷的精進我們應該要有積極的作為
transcript.whisperx[165].start 5248.895
transcript.whisperx[165].end 5265.657
transcript.whisperx[165].text 那所以我想我有兩點的建議第一個針對我們這個毒品的快篩工具我們應該研擬更精準的一個工具來作為處理那第二個我們應該嚴防拒絕毒價者重新來考照那針對這部分能不能請次長說明一下我們目前有沒有什麼積極的作為
transcript.whisperx[166].start 5266.878
transcript.whisperx[166].end 5289.538
transcript.whisperx[166].text 我想跟委員報告原則上這個獨駕我們現在行的做法都是直接吊銷駕照吊銷駕照以後只有兩種情形可以來考那我先講說終身不得考照當然你如果是獨駕以後致人重傷或死亡那就是終身不得考所以就是委員剛剛講你有獨駕就不可能這種情形就不會
transcript.whisperx[167].start 5290.379
transcript.whisperx[167].end 5309.33
transcript.whisperx[167].text 那另外一次你如果有獨駕你是單純的獨駕那有被吊銷駕照三年不得考幾年不得考如果累積達六年不得考的話他也是終身不得考照所以簡單的講就是你如果獨駕兩次第二次以後就是終身不得考了就是沒有這個機會唯一有的話就是單純的這個獨駕
transcript.whisperx[168].start 5311.631
transcript.whisperx[168].end 5328.266
transcript.whisperx[168].text 這種情形才有所謂重新考驗但是重新考驗也是要經過相關的借引或是講習教育之後而且有觀察六個月沒有再有吸毒的情形我們才會發給教授所以原則上我們是以最嚴謹的態度來處理這個獨駕再重考的一個作為
transcript.whisperx[169].start 5331.829
transcript.whisperx[169].end 5356.003
transcript.whisperx[169].text 那個市長再請教一下那如果拒絕讀測我們是一律吊銷嗎那三年之內不得重新考照那但是到底他這個拒絕讀測的人到底有沒有吸毒這部分這我們就不問了那所以我想這個部分因為警察在執行的時候他就會明確告訴他現在正在做獨駕或者是酒駕的一個測試我們就不問
transcript.whisperx[170].start 5357.924
transcript.whisperx[170].end 5384.221
transcript.whisperx[170].text 是 那所以我們也希望藉由今天的這個我們的一個修法能夠去做嚴謹的一個重新的一個檢討讓我們的鄉親能夠安心的這個在路上的交通不會因為獨駕受到影響那最後一個我想還有一個問題我們最近這個中部有發生一個感染HIV的一個校車的一個司機造成這個多位女性被性侵甚至造成傳染的一個案件市長有沒有掌握這個狀況嗎
transcript.whisperx[171].start 5387.401
transcript.whisperx[171].end 5403.308
transcript.whisperx[171].text 這個我們有所了解有了解那未來針對這樣的一個職業駕駛的部分我們是不是有相關的一個規範甚至盤點這個職業駕駛適任的規範甚至有個差的一個機制這部分能不能請我們公務局來做個說明還是
transcript.whisperx[172].start 5405.471
transcript.whisperx[172].end 5432.606
transcript.whisperx[172].text 這個部分跟委員報告一下委員這個畫面所呈現的部分的話這個處罰條例的部分是針對這一個計程車的部分那這個校車司機的一個部分它是屬於這一個就是大型車職業駕駛人的一個部分那這個目前就是說目前校車的部分的話大概就是這一個學校然後採購然後委外這一個辦理的部分
transcript.whisperx[173].start 5433.206
transcript.whisperx[173].end 5461.093
transcript.whisperx[173].text 那這裡面大概就會牽涉到三個一個這個課題第一個部分就是說公司治理的一個部分那公司治理的一個部分的話如果現行這個公司如果要請司機的話那在我們的假期裡面相關違規的一個部分是這個包括是不是有這個酒駕只要是駕輪違規的部分的話這個這個僱主都可以來做一個這個等於說受僱前的一個這個查詢
transcript.whisperx[174].start 5462.193
transcript.whisperx[174].end 5484.898
transcript.whisperx[174].text 那這個受僱之後他也可以隨時都可以來查詢他所屬駕駛人這些相關的一個狀況那第二個部分的話第二個部分就是說這一個學校啦這個學校在就是說辦理採購委託這些相關的一個部分其實對於這個就是說受僱的這個業者的部分還有相關駕駛人基本上是可以訂一些採購條件的一個這個要求
transcript.whisperx[175].start 5487.81
transcript.whisperx[175].end 5514.797
transcript.whisperx[175].text 我的意思是我只是提醒說因為當然我知道這個學校部分是規範這個校車的這個部分但是未來針對職業駕駛的一個資料庫的建立甚至他可能他不當校車司機搞不好他跑去當其他的職業別的一個職業駕駛我們有沒有這樣的一個機制去防堵這樣的一個狀況讓一些惡行惡狀甚至可能會造成社會危害的一個惡性的職業駕駛應該不適合再做這樣的一個工作我們這樣一個嚴謹的一個規範
transcript.whisperx[176].start 5517.263
transcript.whisperx[176].end 5532.725
transcript.whisperx[176].text 因為委員提到的部分大概會牽涉到兩個層面的課題啦如果說純粹交通違規的部分公務局本身資料庫就有啦那如果說涉及到一些刑事法律的那個部分的話可能這個因為這個資料的借鑑必須要有法令的一個依據
transcript.whisperx[177].start 5533.967
transcript.whisperx[177].end 5553.329
transcript.whisperx[177].text 那裡面但是實際上現在處理的部分的話就是說不管什麼公司這個受僱員工的一個部分如果說有需要的話要避免一些相關情況的話應該都可以請這個受僱人員工來做查詢嗎對 提供一些相關自我證明的部分所以我想這部分還是請教我們應該來做一個這個跨部的一個
transcript.whisperx[178].start 5555.771
transcript.whisperx[178].end 5576.18
transcript.whisperx[178].text 甚至就是說那個雇主也應該可以做一個查核然後避免這個造成一些危害學生或是一些職業行為的一個滋生的一個漏洞我想應該自己來努力一下好不好好謝謝謝謝委員謝謝好謝謝許副委員的發言謝謝市長跟各位官員接下來我們請許智傑委員發言
transcript.whisperx[179].start 5580.43
transcript.whisperx[179].end 5601.555
transcript.whisperx[179].text 在許議員發言前我提醒一下我們列席官員待會在第一次發言前發言前可能要稍微說明一下你們的這個單位跟姓名因為這才辦法列入公報因為像剛剛回應的部分有些不是本來在宣稱沒有宣告的官員所以你們回應的時候我的公報上沒辦法記錄所以待會各位發言的時候可能要稍微講一下自己的職期跟單位以上的說明謝謝好謝謝主席我們請次長好請次長
transcript.whisperx[180].start 5613.584
transcript.whisperx[180].end 5631.549
transcript.whisperx[180].text 市長好我想每一個委員幾乎都會關心獨家的問題那最近事實上社會上對獨家的厭惡度真的是提高很多那你看獨家的這個數目字事實上真的是增加的非常的快
transcript.whisperx[181].start 5633.102
transcript.whisperx[181].end 5646.928
transcript.whisperx[181].text 前年是2131,去年是8659今年第一劑就已經3223那到5月的數目字是6730所以這麼多件的獨駕那前一陣子又有桃園媽媽還載著女兒然後發生了車禍
transcript.whisperx[182].start 5657.58
transcript.whisperx[182].end 5675.061
transcript.whisperx[182].text 所以獨駕、酒駕其實我們幾乎都是零容忍那現在交通部定了這一個規定你們新研擬的方案是他惡意拒車的時候可以吊扣吊扣他的車子 對不對
transcript.whisperx[183].start 5677.708
transcript.whisperx[183].end 5700.42
transcript.whisperx[183].text 他如果是就是惡意拒策的話我們就吊銷他的價格吊銷執照然後還有吊扣車子車輛也是沒入車輛不是吊扣就是沒入車輛沒入是怎樣沒收沒收這是私人財產就直接把它沒收所以說法律要有明文規定要做這個這個你們有查過是OK嗎OK
transcript.whisperx[184].start 5706.036
transcript.whisperx[184].end 5726.124
transcript.whisperx[184].text 這個我們在這個處罰條例沒入不是不是這次才有類似像這樣的規定在處罰條例就直接把車子沒收有車輛沒入還是那如果首次獨駕跟連續壘犯他基本上就是罰款之外就是吊銷駕照反正額度也會不一樣
transcript.whisperx[185].start 5728.015
transcript.whisperx[185].end 5749.059
transcript.whisperx[185].text 他累犯他的這個處罰的額度會不一樣我們時數超過40的車子是吊扣半年嗎那個牌照吊扣半年超數嘛對那是吊扣完了半年之後車債還給他對那超數超過40跟獨駕是誰比較嚴重
transcript.whisperx[186].start 5756.686
transcript.whisperx[186].end 5784.168
transcript.whisperx[186].text 獨駕相對嚴重很多是啊 所以我在想說是不是獨駕有沒有機會防超速超過40不要調扣啊我們現在獨駕是直接沒入啊不是啊 你獨駕是第三次這是惡意你第一次跟第二次來有沒入嗎第一次就沒入了第一次就沒入了
transcript.whisperx[187].start 5787.464
transcript.whisperx[187].end 5807.518
transcript.whisperx[187].text 所以只要是獨駕車子通通沒收那是蠻嚴重的很嚴重很嚴重意思就是說獨駕是無法容忍的啦就是這樣講所以你的駕照我也要做最嚴厲的處分就是吊銷車輛就是要修起來沒錄所以只要是獨駕的車子
transcript.whisperx[188].start 5810.36
transcript.whisperx[188].end 5831.969
transcript.whisperx[188].text 被我們檢測出來就直接沒收只有像酒駕也好或什麼只有在致人重傷或死亡的時候才沒入那個車輛現在是獨駕是不因為獨駕實在太危險每次發生的事故幾乎都會有人死亡所以只要獨駕車子就沒收未來的修法是朝這個方向這大概什麼時候可以完成
transcript.whisperx[189].start 5832.808
transcript.whisperx[189].end 5859.969
transcript.whisperx[189].text 我們已經把這個修正草案送進大院來了所以希望如果可以進行這次的審查 禁訴來讓大家共同討論那我們再拜託召委 我們就盡快排好那再來呢 我們的那個交通公園交通公園現在目前桃園已經做好了 已經開幕了嘛 對不對
transcript.whisperx[190].start 5861.55
transcript.whisperx[190].end 5887.709
transcript.whisperx[190].text 那鳳山這個已經做好了嗎鳳山已經做好了現在已經在規劃要舉辦正式開幕的典禮大概什麼時候8月我想是這樣啦我們就是到時候請部長我們是不是開一個那個就是考察吧
transcript.whisperx[191].start 5889.418
transcript.whisperx[191].end 5903.612
transcript.whisperx[191].text 我們就考察就請部長也一起下去目前大概會規劃舉辦一個啟用典禮會規劃舉辦一個啟用典禮看到時候是不是併著交委會的考察行程這個我們都可以配合辦理
transcript.whisperx[192].start 5905.207
transcript.whisperx[192].end 5924.275
transcript.whisperx[192].text 這個我是這樣建議啦 就是這交通教育其實跟品德也都有很大的關係啦那我們交通教育其實應該是從小開始做所以上一次有問過就是我們交通部跟教育部目前有對這個交通教育有做一個聯繫了嗎
transcript.whisperx[193].start 5926.167
transcript.whisperx[193].end 5946.323
transcript.whisperx[193].text 有 我們在這個 整個道安的體系裡頭 教育是一個很重要的一環所以我們在那裡頭有相當的一個聯繫對 我是建議就是說 我們就是交通部 這個交通公園新北也有 台北也有嘛新竹 然後桃園 高雄 高雄在我們鳳山
transcript.whisperx[194].start 5947.123
transcript.whisperx[194].end 5966.584
transcript.whisperx[194].text 那現在就是說如果是各地縣市政府教育局去辦校外教學那當然這個我們都會盡量去鼓勵那如果說教育部能夠也有所作為的話是不是可以請各地的教育局動的機會會比較大那這個部分交通部跟教育部聯繫的狀況如何
transcript.whisperx[195].start 5969.885
transcript.whisperx[195].end 5993.491
transcript.whisperx[195].text 我簡單先跟委員報告一下有關委員剛才特別提到的交通公園等等的教育部要扮演很重要或是當地的教育主管機關要扮演很重要的角色這一個我記得這個在桃園監理站或是高雄所他們的那個交通公園等等的都有達到這樣的都會跟當地的縣市政府合作
transcript.whisperx[196].start 5993.911
transcript.whisperx[196].end 6019.849
transcript.whisperx[196].text 然後透過縣市政府的教育單位來有一點是鼓勵這些校外教學或者是小學以上都要到這一個的交通公園去做一個上課都有這樣的一個機制那委員特別提到要跟教育部來真正的類似讓更緊密的合作這部分我想我們後續我舉個最簡單的例子你看日本小孩子過馬路是不是看到他們都會舉手
transcript.whisperx[197].start 6021.98
transcript.whisperx[197].end 6048.287
transcript.whisperx[197].text 台灣小孩子你有看過幾個棘手我的子女會棘手而且會叫我說阿伯你也要去守對啊 這個其實是很簡單的概念因為就是說他那個小孩子的視角小孩子的視角跟我們大人的視角不一樣那個大人視角用眼睛的餘光他可以看很寬小孩子視角就是比較窄他沒有辦法像我們看那麼寬
transcript.whisperx[198].start 6049.574
transcript.whisperx[198].end 6078.735
transcript.whisperx[198].text 那再來就是說小孩子事實上因為他身高都比較矮嘛所以我們其實你看日本小孩子你去日本考察一下你注意看一下他們幾乎每個小孩子過馬路就會舉手那個當然就增加高度嘛增加高度讓人家比較容易看到他這個其實是一個很簡單的交通教育啦但是你台灣的小孩子是你的孩子會舉手一般的你可以在路上看大部分的小孩子都不會
transcript.whisperx[199].start 6081.561
transcript.whisperx[199].end 6103.832
transcript.whisperx[199].text 尤其是幼稚園 幼稚園現在也因為這個有在推廣所以看到有些幼稚園帶出去的時候那個整隊的幼稚園他們也舉手所以我就說這個其實就是交通安全教育這從小扎根所以就是說我們交通部如果更重視跟教育部有更重視的話我們上馬路就可以看得到其實這很容易測試
transcript.whisperx[200].start 6105.621
transcript.whisperx[200].end 6128.744
transcript.whisperx[200].text 是不是就是交通部也希望說這些多做一下跟教育部多聯繫那做一下共同的宣導這個其實保護孩子的安全是我們非常重要的職責這個部分是不是請交通部也跟教育部能夠多保持聯繫是 我們來如何加強那我們要測成果很簡單去馬路走一走看看小朋友有沒有舉手就知道
transcript.whisperx[201].start 6129.545
transcript.whisperx[201].end 6152.176
transcript.whisperx[201].text 好 好不好是是希望說交通部這部分也能夠多加強好 是好 謝謝好 謝謝委員 謝謝好 謝謝許智傑委員謝謝我們次長和各位官員接下來我們請萬美玲委員發言好 謝謝召委 我們有請次長好 請次長
transcript.whisperx[202].start 6161.273
transcript.whisperx[202].end 6183.786
transcript.whisperx[202].text 市長好 我想今天獨駕的這件事情是一個非常大的重點當然我們也因為看到近來獨駕的這個案件數越來越多而且傷害越來越大 所以這個事情值得重視當然針對之前不管是交通部 我們相關的部會我們都有在做一些努力 這個我是肯定的但是我們看到行政院版的盜交處罰條例
transcript.whisperx[203].start 6185.908
transcript.whisperx[203].end 6206.108
transcript.whisperx[203].text 這個修正草案裡面第35條第一項酒駕跟毒駕的罰環的部分竟然是跟現行的條文一致這件事情本席不太能接受我記得當時本席在交通委員會的時候有跟部長其實我們聊過那當時在質詢的內容我們也講到說希望毒駕跟酒駕要能夠脫鉤那脫鉤之後毒駕來加重處罰
transcript.whisperx[204].start 6209.511
transcript.whisperx[204].end 6238.522
transcript.whisperx[204].text 不過現在看到雖然我們現在以下等一下要討論有一些地方我們已經是加重了不過在這個罰環的部分都是機車是在罰1萬5以上這個9萬以下汽車是這個3萬以上這個12萬以下那雖然說今天我們都有在講說我們現在因為增訂獨駕我們就吊銷駕照然後沒入車輛那我們當然覺得這樣的重罰是好的可是為什麼我們不把罰環的部分來一併提高呢
transcript.whisperx[205].start 6241.76
transcript.whisperx[205].end 6267.838
transcript.whisperx[205].text 這個我們當時沒有 是因為現行現行的制度裡面 獨駕就跟酒酒駕跟獨駕他的罰環就是拉開的第一次譬如說在這裡頭他現在罰的是一樣的他現在雖然是叫做三萬到如果是以汽車先講汽車如果汽車是三萬元以上 十二萬元以下的罰環但是我們會有一個統一裁罰處理細則的一個裁罰標準講清楚一點
transcript.whisperx[206].start 6271.5
transcript.whisperx[206].end 6292.299
transcript.whisperx[206].text 在那個標準裡面就講得很清楚如果你是酒駕汽車應該是第一次多少三萬但是獨駕就是二萬就是本身就是分開了所以我們在這裡才沒有那個次長我覺得這不能這樣說因為第一個呢你現在的意思是說在罰款的部分呢兩個本來就是分開的你的
transcript.whisperx[207].start 6293.963
transcript.whisperx[207].end 6313.829
transcript.whisperx[207].text 這兩個還是有差距 都是一樣的划環應該這樣說啦 因為現在我們在這個汽車的部分不管酒駕跟獨駕 我們都是三萬以上嘛十二萬以下嘛 只是你現在的意思是說如果今天是酒駕的話 你就是三萬如果是獨駕就一次罰到最高 您的意思是這樣嘛 對不對我覺得這不對啊 這個我們在法上面來講我們還是適用在這個任局當中我們適用的還是在三萬甚至十二萬當中嘛
transcript.whisperx[208].start 6319.411
transcript.whisperx[208].end 6342.119
transcript.whisperx[208].text 那本席以及上市部長講的 我們要把他脫鉤以後 為什麼要脫鉤脫鉤不是沒事早日做 是脫鉤以後要把他重罰嘛 對不對就像你現在為什麼你處理酒駕跟獨駕你在這個吊銷駕照跟這個沒路車輛也是不一樣的做法所以當然罰還也要有不一樣的做法啊本席認為這個是不是我們忽略了這一點
transcript.whisperx[209].start 6343.717
transcript.whisperx[209].end 6355.922
transcript.whisperx[209].text 我跟委員講不是我們忽略啦就是說我們也是對外來講是脫鉤的他本身就是一個是三萬跟一個是十二萬然後罰款額度也不一樣那至於說這個表達的方式如果認為說這樣的表達方式不是很可以讓大家能夠了解的話在討論的時候我們也可以把這樣的
transcript.whisperx[210].start 6366.687
transcript.whisperx[210].end 6382.48
transcript.whisperx[210].text 當然當然 市長我覺得這個分兩個第一個呢 如果說這是一種說法那我建議啦 我覺得我們應該要把它訂得更清楚一點第二個 如果按照您所說的確實它是已經脫鉤了既然脫鉤了 我覺得獨家就應該要再加重發還啦所以這個是本席兩個意見 請市長帶回去
transcript.whisperx[211].start 6385.603
transcript.whisperx[211].end 6409.001
transcript.whisperx[211].text 那另外我們在看到在這個道交處罰條例跟道路交通安全條例裡面這一次我們都有增訂就是我們毒飲者跟毒駕被吊銷駕照之後要完成毒駕防治教育還有觀察樂界 強制戒制還有毒品成癮治療 毒品危害獎習等等這之後完成以後才能夠重新去考領駕照
transcript.whisperx[212].start 6410.222
transcript.whisperx[212].end 6416.475
transcript.whisperx[212].text 那這部分相關的有沒有跟我們衛福部去討論過要怎麼去執行有沒有辦法有訂定出來了嗎
transcript.whisperx[213].start 6417.605
transcript.whisperx[213].end 6440.526
transcript.whisperx[213].text 我想跟委員報告在這一方面呢有關這裡特別剛剛有特別提到不管是毒品的戒飲或觀察樂界或強制戒制或者是你不要再重念一次好不好你回答我就好了這時間有限我們都有在法條討論的過程都有跟衛福部等相關單位討論過那要怎麼執行這個辦法有嗎
transcript.whisperx[214].start 6443.749
transcript.whisperx[214].end 6460.372
transcript.whisperx[214].text 制定出來了嗎我們後續我們會在這裡頭我們會另訂一個辦法我們會要另訂一個辦法本席在問您的就是辦法訂出來了嗎辦法目前還沒有訂那多久才會訂出來我們會在母法通過之後在施行之前把它訂出來
transcript.whisperx[215].start 6460.993
transcript.whisperx[215].end 6475.844
transcript.whisperx[215].text 好 那我覺得這個執行很重要不要說你空有一個想法跟計畫但執行出了一些問題所以辦法很重要那再來我想據統計資料看來獨營者一年內復發率是極高的這個數據你們一定有尤其我想在本席的選區桃園
transcript.whisperx[216].start 6477.605
transcript.whisperx[216].end 6506.785
transcript.whisperx[216].text 這個我們也看到了幾件毒價的慘劇所以今年你看截至5月我們查獲的毒價在91個案例當中有高達94%是有毒品前科的其中又有將近兩成也就是18%是有毒價前科的所以次長本期看到您說要完成戒癮治療跟毒品危害講習然後6個月後就可以換發3年的短期駕照這個6個月是怎麼計算出來的本期真的覺得太短
transcript.whisperx[217].start 6507.125
transcript.whisperx[217].end 6507.176
transcript.whisperx[217].text 谢谢观看
transcript.whisperx[218].start 6509.438
transcript.whisperx[218].end 6537.76
transcript.whisperx[218].text 市長我想跟委員報告一下剛剛委員特別提到這個毒癮啊戒治啊這是他我們在你要來考照之前其實就有一個三年不得考所以他其實你市長本行沒有問你考照這件事我現在是要我不是問你那樣那個考照的事我的意思是說你現在這些什麼完成戒癮治療啊毒品講解六個月後你就可以換發三年的短期駕照給他嘛對不對那為什麼是六個月我現在問的是為什麼是六個月
transcript.whisperx[219].start 6538.26
transcript.whisperx[219].end 6565.503
transcript.whisperx[219].text 因為我們看到統計的數據就是一年內復發的機率是很高那你怎麼定六個月啊這是戒癮治療完了以後我們再觀察他戒癮都已經完了那刺掌那個那麼可愛戒癮治療完那毒癮者一年內的復發率難道是在邊吸毒的時候叫做邊復發嗎不是嘛就是你戒毒之後才叫做復發嘛那你就是一直在講說那戒癮治療結束了你又說他一年後復發
transcript.whisperx[220].start 6566.804
transcript.whisperx[220].end 6568.946
transcript.whisperx[220].text 沒有 那個市長市長你可能仔細聽一下就說 你看嘛 你有抽菸嗎
transcript.whisperx[221].start 6577.523
transcript.whisperx[221].end 6600.373
transcript.whisperx[221].text 你沒有抽菸抽菸的人都知道其實我們戒菸之後可能有一段時間每比半年也許一年有的是一年多其實他可能就沒辦法那個菸飲又來了我簡單舉這個例子所以毒飲在一年之內就是毒飲在一年之內其實它在復發這個率是很高的那大家本身是認為說你這個六個月這個時間本身是覺得比較短的一點是不是應該要再更長一點更確保一點
transcript.whisperx[222].start 6601.73
transcript.whisperx[222].end 6618.364
transcript.whisperx[222].text 我想跟委員報告他六個月以後我們是給換花給他駕照但是他只要再有剛才委員特別提到在護花再去吸毒或是去酒駕的話我們一樣又吊銷他駕照他又不能考不能取得駕照所以又在這個輪迴裡面所以不會有這個問題啦真的不會有這個問題
transcript.whisperx[223].start 6622.728
transcript.whisperx[223].end 6625.69
transcript.whisperx[223].text 你可以保證絕對不會有這個問題嗎所謂不會有這個問題就是說它只要是毒價或吸毒我們都可以在第一時間做處理市長您剛剛說絕對不會有這個問題指的是不會有什麼問題我所謂不會有問題就是說我們會嚴格的來管制您剛剛有說一個嘛您剛剛說我保證絕對不會有這個問題您指的是不會有什麼問題
transcript.whisperx[224].start 6644.923
transcript.whisperx[224].end 6649.927
transcript.whisperx[224].text 我沒有這樣講啊我講的是我認為六個月的時間其實短了那為什麼不能拉長一點更確保無虞啊那你說你保證不會有這個問題是保證它不會再復發還是不會再肇事還是不會再獨駕你是保證什麼
transcript.whisperx[225].start 6667.563
transcript.whisperx[225].end 6696.264
transcript.whisperx[225].text 我保證是說如果他有毒價或者是有酒價的吸毒的情勢我們知道了以後我們一定會做處理這是兩碼子事嘛市長答詢不要這樣答詢啦那本席我覺得我提出來是覺得我覺得既然我們有一些數據是說毒癮一年內的復發率極高所以本席也希望說我們是不是能夠啊就是在這個講習都完成之後呢那觀察一年用一年的時間才能喚起這個短期駕照我覺得會更安全一點所以希望這個部分這個市長能夠帶回去喔
transcript.whisperx[226].start 6696.644
transcript.whisperx[226].end 6704.75
transcript.whisperx[226].text 那最後我簡單的再講一個部分就最近我們看到交通部推動就5月31號上路75歲以上就是75歲本來是要換發這個駕照那現在下修到70歲那這個影響有128萬名的高齡駕駛人受到影響那那個次長一個數據
transcript.whisperx[227].start 6714.577
transcript.whisperx[227].end 6722.341
transcript.whisperx[227].text 交通部自己說5月31號到6月18號已經辦理了換照人數有25082人那實際上去換照的是22847人那另外自動繳回有2235按照這樣算換照率只有1.96%那這個有符合你當初設定的目標嗎那什麼時候要達成全面換照
transcript.whisperx[228].start 6736.621
transcript.whisperx[228].end 6755.375
transcript.whisperx[228].text 跟我們報告一下就是說下修到70歲的部分他基本上有這一個兩年的緩衝有兩年的緩衝在這一個兩年內來換完照都這一個符合規定那就是說從5月31號其實大概就是拜託好不好我時間其實已經超過你們不要這樣打詢啦這有沒有符合你當初設定的目標
transcript.whisperx[229].start 6757.857
transcript.whisperx[229].end 6768.77
transcript.whisperx[229].text 複合複合就是這個1.96%是複合的那你有沒有設定說大概幾年內要完成全面換照我們希望兩年內全部換完多久希望兩年內大家都已經兩年內是不是那另外就是說我們要讓這些長輩這些長者能夠
transcript.whisperx[230].start 6771.613
transcript.whisperx[230].end 6790.982
transcript.whisperx[230].text 方便換照他們才會有意願來換照那你看你設定了一個就是說一站式的換照服務那是希望比照像我們這個原名鄉鎮的服務對象等等就是30公里以上你設定了一個可以換照一個服務的一個區域這個距離會不會太長了有沒有跟地方縣市政府或監理站去談過說那怎麼樣讓他縮短一點讓長輩方便換照
transcript.whisperx[231].start 6794.841
transcript.whisperx[231].end 6819.697
transcript.whisperx[231].text 跟委員報告就是說所謂設定30公里這個大概是現在這個偏鄉這個下鄉考照這樣子的部分啦但是現在我們12上面在這個操作上就是跟縣市地方鎮的區公所這一個有溝通嗎只要他們願意提供場地這些相關的部分我們都可以配合來辦理那另外一個部分我也跟委員報告以目前換到現在兩萬多人的部分其實是在偏鄉換照率比這個都會需要好
transcript.whisperx[232].start 6819.977
transcript.whisperx[232].end 6844.573
transcript.whisperx[232].text 那這樣很好因為我想民團其實非常擔憂就是說其實高齡的長者如果換照不易那或者他們的習慣一時還沒有辦法轉換過來那你想想看就是說今天他駕照到的時候滿街可能都是我們很多的長輩都在無照駕駛我覺得沒有解決掉就是高齡駕駛的問題又衍生出來其他的這個交通問題所以就是比較麻煩所以這個部分的話要拜託那最後一點最後一個小點那個一分鐘
transcript.whisperx[233].start 6845.413
transcript.whisperx[233].end 6868.47
transcript.whisperx[233].text 在我本身知道在美國加州有建立醫師通報機制不曉得這個次長知不知道他就是針對可能會影響駕車的疾病的部分包括像癲癇或者嚴重的失智或他有這個突發性的暈眩等等他會直接連線監理站那可能在某一個時間期間內他會把這個患者暫時的扣照這個部分有沒有跟衛福部也討論過
transcript.whisperx[234].start 6870.467
transcript.whisperx[234].end 6892.948
transcript.whisperx[234].text 跟委員報告這個有關這樣的一個資料借接我們在這一次的處罰條例已經修過了剛剛才應該是前一兩次已經修過了可以有借接的一個機制我們現在正在做處理有修過了怎麼修就是說有幾種情形像剛剛委員特別提到的癲癇或者是還有
transcript.whisperx[235].start 6893.633
transcript.whisperx[235].end 6921.832
transcript.whisperx[235].text 施治等等的幾種情形我們會去借接衛福部啦或者是勞動部等等那這樣好不好 次長您會後啊把就是說您現在說已經修過了相關的辦法然後呢跟各部會討論的結果送一份到本席辦公室來好不好是是是好 謝謝好沒問題 謝謝好 謝謝魏百齡委員的發言謝謝次長跟各位官員我們稍後在陳慶隆委員發言後休息十分鐘接下來我們請魯明哲委員發言
transcript.whisperx[236].start 6937.092
transcript.whisperx[236].end 6947.335
transcript.whisperx[236].text 好 謝謝主席有請我們交通部陳次長好 請次長防務部謝參事以及我們警政署交通組陳副組長好 請陳副組長委員好好這個因為應該是上個禮拜吧18號
transcript.whisperx[237].start 6957.045
transcript.whisperx[237].end 6978.755
transcript.whisperx[237].text 我又看到卓院長的一個反讀宣誓的一個記者會其實我的真的心情是感慨比感動多啦我不知道我們所有的國民朋友看到這樣是什麼感覺因為第一個我特別想到印象深刻因為那一年2020年我第一次擔任立委從地方到中央不久之後
transcript.whisperx[238].start 6979.895
transcript.whisperx[238].end 7001.087
transcript.whisperx[238].text 就看到當時我們蘇院長行政院在109年9月29號真的正式發布第1次106年到109年也是我們小英政府的他認為第一期推動新世代反毒策略1.0大有成就成效著住那天的這個新聞稿
transcript.whisperx[239].start 7002.458
transcript.whisperx[239].end 7027.072
transcript.whisperx[239].text 新興毒品吸食人數大幅降低超過三成已經發揮了惡質的成效還在行政院的網頁上發揮成效投入了一百億用的方法是什麼 阻毒源我們就是阻絕這些毒品的原料在境外結果到了五六年之後我們記者還在講這些廢話
transcript.whisperx[240].start 7029.315
transcript.whisperx[240].end 7054.066
transcript.whisperx[240].text 那時候就已經喊過了 成功了 我們主獨園強力查緝所以106年到109年 成效卓著所以我為什麼感慨啊那114年開始 所以當天又宣示因為前四年成效卓著 我們乘勝追擊接下來四年到113年我們的策略是跨部會 跨地方 跨領域 整體作戰
transcript.whisperx[241].start 7054.966
transcript.whisperx[241].end 7073.212
transcript.whisperx[241].text 要斷毒三流金流、人流跟物流毒品我告訴你現在讓我們人民的感覺這三流啊物流、毒品滿街跑欣欣向柔不管是毒品的產業甚至私用毒品的個人
transcript.whisperx[242].start 7074.935
transcript.whisperx[242].end 7102.827
transcript.whisperx[242].text 人數大幅增加那不要講說經由於到底做什麼東西啊投入150億那我們再看看成績喔第二期第一期大有成就有109年宣誓之後從110年我們就看獨駕移送獨駕移送的人數從一年4346位到113年第二期喔結束那一年成長了60倍我先請法務部
transcript.whisperx[243].start 7104.346
transcript.whisperx[243].end 7126.691
transcript.whisperx[243].text 法務部 你說明一下因為我看了那個文章一千五六百字文情並茂文情並茂我是真的很感動又很感慨因為當天109年那個文章因為我看是法務部教育部就是可能又組成國家隊你們領銜發的最後一句話讓我最感動但現在也很感慨說
transcript.whisperx[244].start 7128.231
transcript.whisperx[244].end 7137.793
transcript.whisperx[244].text 我們這樣的二期作為之後我們使毒害遠離人民安居樂業讓台灣防毒如同防疫成為世界之光
transcript.whisperx[245].start 7138.84
transcript.whisperx[245].end 7158.739
transcript.whisperx[245].text 你有沒有覺得現在是被打耳光啊法務部你們當時這樣到底發生什麼事就你的角度啊你的見解我想這是一個很複雜的問題但是我看到當年你們這樣的第二期防治成效結果如何有沒有如同防疫成為世界之光法務部你說一下現在狀況
transcript.whisperx[246].start 7161.477
transcript.whisperx[246].end 7176.444
transcript.whisperx[246].text 謝謝主席 謝謝委員的垂詢那其實針對這個毒品作戰這個議題跟毒品的作戰本來就是一個長期的一個過程那當中大會是起伏了那早年我們其實在
transcript.whisperx[247].start 7177.665
transcript.whisperx[247].end 7206.763
transcript.whisperx[247].text 取締新興毒品上面在屢次獲得一些成效但必須說依托民脊的流行其實是最近這幾年的事情那因為他的快速的散播性那以及在年輕人在搭配電子菸之後整個情勢又整個又要燒上來那其實不管是我們華部以及我們小校所下來排高檢的部分其實都針對新興毒品的防治其實都有不停的在滾動檢討提出相關的這個防治的措施
transcript.whisperx[248].start 7207.483
transcript.whisperx[248].end 7235.178
transcript.whisperx[248].text 謝謝陳三世因為畢竟今天你們來的也不是部長次長要你回答太廣泛的問題對你也不公平但是就我們回頭看109年那個宣誓就好像上個禮拜院長講的差不多然後等於是大失敗大失敗暴政但你們要注意一下因為113年正好是賴金德總統上任那一年發生了什麼事呢113年
transcript.whisperx[249].start 7237.321
transcript.whisperx[249].end 7252.838
transcript.whisperx[249].text 比四年前暴增了六十倍結果14年呢14年全年暴增到兩百倍光是這個獨駕的事件變成八千多件今年的前五個月
transcript.whisperx[250].start 7254.195
transcript.whisperx[250].end 7275.331
transcript.whisperx[250].text 跟去年比較又差不多多六倍你知道嗎我很難想像很難想像我們希望現在大家提醒全力防範在今年是能夠看出成效的不然這樣的發展下去今年可能是明年的再兩到三倍這是非常非常嚴重的那我們請次長
transcript.whisperx[251].start 7277.961
transcript.whisperx[251].end 7295.159
transcript.whisperx[251].text 市長其實今天我們這個在獨駕發生這樣一個嚴重的事情我們所有國民都非常痛恨那在這樣的一個情況之下現在道交條例未來的刑法跟危險罪可能包括毒品危害防治條例
transcript.whisperx[252].start 7296.5
transcript.whisperx[252].end 7318.312
transcript.whisperx[252].text 三法齊發從行政到刑法到毒品的專法希望能夠有效去前置但是我擔心是說這些法規又不是一天兩天的又不是一天兩天的那我就請教一下你自己看這個毒價的這樣的一個事件快速增加的您說快速增加的主要理由你說一下
transcript.whisperx[253].start 7319.406
transcript.whisperx[253].end 7348.265
transcript.whisperx[253].text 我想剛才參事有特別提到其實就是一些新興毒品的快速的在國內蔓延所以有關毒價的問題會有這樣的一個情形然後最主要是查緝的方式剛才也特別提警政署也特別提到他們用唾液快篩的方式所以可以很快的把這樣的有毒價的行為的架繩找出來所以也造成了這個可以看到這樣的一個件數一直在攀高
transcript.whisperx[254].start 7349.246
transcript.whisperx[254].end 7366.461
transcript.whisperx[254].text 次長跟警政署我是覺得其實我們很多一個政策到最後都很辛苦很悲哀都是最後一關末端在補破網你根本也補不上追不及每次移民署看那幾個移民官在追這個外籍的逃跑移工
transcript.whisperx[255].start 7368.368
transcript.whisperx[255].end 7390.698
transcript.whisperx[255].text 因為前端沒人管後面你們就拼命所以按照道理我們現在嚴懲獨駕其實在某種的一個角度是表示我們漏洞太大了前面源頭是完全沒有辦法什麼阻絕毒品原料於境外沒有一件源頭做到了所以我們今天警政署的我們交通組的
transcript.whisperx[256].start 7391.818
transcript.whisperx[256].end 7417.113
transcript.whisperx[256].text 包括你們在這只有在獨駕但是你們獨駕只能抓一個辦一個啦抓一個辦一個我們希望還是要有整體的一個績效那當然上四年代就是剛剛說的伊多米子新興毒品但是新興毒品事實上你們這兩年兩年來從三級毒品現在把它變成一級毒品那這個是要法務部再來說一下嗎
transcript.whisperx[257].start 7418.294
transcript.whisperx[257].end 7427.543
transcript.whisperx[257].text 那個是確實要變成一級毒品這樣的腐爛使用那兩年前兩年前你們沒有感覺到這種威脅嗎
transcript.whisperx[258].start 7428.973
transcript.whisperx[258].end 7452.94
transcript.whisperx[258].text 沒有我們希望這樣好不好我們有政府會做事我們國民都會尤其防毒這檔事有一堆人擋在前面密不透風這是國民的想法不是我的想法那就請問一下兩年前你完全無法預設到這樣情況當時法務部的一個你們主導這個事情的立場把他列在三級毒品的想法是這樣是不是你說一下
transcript.whisperx[259].start 7455.033
transcript.whisperx[259].end 7469.815
transcript.whisperx[259].text 跟委員報告其實列為幾級毒品這個事情其實有個機制在跑那在法部底下設一個審議會這審議會的相關專家學者會就他毒品的危害性所以你們幾級毒品主要的幾個原則是什麼你說一下大原則
transcript.whisperx[260].start 7470.736
transcript.whisperx[260].end 7499.334
transcript.whisperx[260].text 其實會按照這個毒品它的危害性跟它的成癮性還有它的可能造成的這個危險性它目前的社會的關注度有多高那伊托米齒因為這幾年確實濫用狀況有比較嚴重所以它在我們最近已經審議會已經通過然後有報行政院這邊要把它提升為第一級毒品那相對應的提升毒品之後它相對應的就是它的處罰的刑責不管在施用或是散布或是販賣上面都會有大幅的提升
transcript.whisperx[261].start 7500.267
transcript.whisperx[261].end 7517.926
transcript.whisperx[261].text 好我知道那我們來看看齁你剛剛特別講的他的腐爛的程度幾個指標那我們現在看到所有的毒品毒價是有具體資料警政署提供的是最腐爛的目前最嚴重的而且不是新興的是很早時代用到現在的
transcript.whisperx[262].start 7519.031
transcript.whisperx[262].end 7540.828
transcript.whisperx[262].text 是安非他命 安非他命就是在獨家驗出來是75%那第二名當然是一脫彌子 當然因為第二名的話他是會斷片的 那很嚴重啊那這樣的一個幅度的話 第二名的以%數以氾濫程度來看獨家的這個部分 你們沒有一併討論安非他命嗎
transcript.whisperx[263].start 7543.649
transcript.whisperx[263].end 7567.739
transcript.whisperx[263].text 跟委員報告因為這個的認定必須還是要報到省議會這邊來處理那因為我本人也不是省議會的成員所以我不曉得就安非他命的部分是不是另有其他的考量好 當然謝謝陳三世因為今天要你回答這些事情我覺得你也很辛苦可是我覺得有一件事情 對新聞到哪裡我們就做到哪裡因為三年前沒有新聞它就三級毒品了
transcript.whisperx[264].start 7568.439
transcript.whisperx[264].end 7588.257
transcript.whisperx[264].text 沒有預測不需要我專業預測不需要完全沒有判斷能力的結果其實民眾都在看啦那當然我覺得因為三法可能歧修都是非常非常嚴重我們覺得一定要快希望從法例即使在末端告訴別人這是非常嚴重的
transcript.whisperx[265].start 7588.797
transcript.whisperx[265].end 7615.533
transcript.whisperx[265].text 你包括能夠反過來回饋從獨家引發的修法能夠促使能夠施打毒品的人少能夠倒過來變成一個良性的一個循環我覺得所以修法要快要遠不過因為修法院也有這個嚴謹度你知道執法的嚴謹度那這個部分請交通部喔尤其法務部啊尤其在第一線的我們員警同仁啊你說很多的一個訊息
transcript.whisperx[266].start 7617.074
transcript.whisperx[266].end 7634.651
transcript.whisperx[266].text 很多的一個制度現在你們的快篩試劑快篩試劑警政署來一下嘛不要叫上來都沒講話快篩試劑快篩試劑是不是各縣市警察局自行小額採購目前的狀態
transcript.whisperx[267].start 7638.175
transcript.whisperx[267].end 7664.994
transcript.whisperx[267].text 目前有各縣市警察局做小額採購OK那你好我是提醒你喔提醒你喔所以小額採購之後我們全台灣投到中昌投到屏東那一投大家用的東西都不一樣喔真的不一樣喔以前我們快篩疫情的時候真的有些比較OK有些不OK有些驗出有有些驗出可以當場驗出沒有的所以這個部分警政署你們必須
transcript.whisperx[268].start 7666.115
transcript.whisperx[268].end 7682.825
transcript.whisperx[268].text 考量清楚包括交通部包括法務部你們為了公平執法執法的嚴謹度要嚴可是你們如果有人買五合一有人七合一現在最好的十合一然後驗出來第一個是逃脫率
transcript.whisperx[269].start 7683.942
transcript.whisperx[269].end 7701.285
transcript.whisperx[269].text 逃脫力我們問了很多一個專家包括我們警界的好朋友他說其實現在七合一的大概有5%是驗不太出來的5%驗不出來我今天沒有時間我也不講包括有一些化學層次變異下甚至有一些像骨科檢有些東西驗不出來有一些像
transcript.whisperx[270].start 7702.847
transcript.whisperx[270].end 7724.424
transcript.whisperx[270].text 這個什麼蘑菇啊因為快篩沒辦法去做搖頭丸因為在口水中的濃度它的運作的一個方式所以你當然要執法的時候未來可能刑法公務委員在修你搞不好動輒出一點事情是十年以上的這個的部分那你知道嗎因為我用的毒品不一樣而且我沒事
transcript.whisperx[271].start 7725.245
transcript.whisperx[271].end 7742.405
transcript.whisperx[271].text 我沒事 你知道這會發生什麼事嗎就是哪幾種毒品是我們快篩驗不出來的所以我想這個部分當然因為科技的問題我在那邊講不是說誰對誰不對但是我覺得這種統一要執法了你的快篩你們要有一個實驗室去針對於
transcript.whisperx[272].start 7744.648
transcript.whisperx[272].end 7765.255
transcript.whisperx[272].text 我們國內哪一些符合你們執法標準的快篩你們選兩三種品牌出來供我們地方政府的警察局去採購這樣會比較一致嘛不然大家品牌不一有些敏感度精確度不一樣這個部分朝這個方向有沒有想法朝這個方向來做還是各搞各的
transcript.whisperx[273].start 7767.99
transcript.whisperx[273].end 7793.143
transcript.whisperx[273].text 我們目前所使用的那個脫塞試劑部分是還是以那個兩種的脫塞試劑為最主要的對嘛 為主嘛那如果他不為主也可以採購嘛為輔的也可以採購嘛當你採購你個別採購的話你們現在到地方政府他個別採購我要請你注意喔如果採購的到底能不能符合未來執法的一個標準
transcript.whisperx[274].start 7793.723
transcript.whisperx[274].end 7818.213
transcript.whisperx[274].text 包括偽陽性造成無辜的人偽陰性造成逃脫的人都是不行的這樣的事後所以第一線的我們你們自己員警同仁或者我們交通部甚至未來法務部你在執法的這個部分都會成為後續的一個困擾我希望你們自己警政署甚至法務部你們總是要你們就是
transcript.whisperx[275].start 7819.033
transcript.whisperx[275].end 7840.442
transcript.whisperx[275].text 你們要保證喔這個快篩劑出了什麼問題你不要推給地方政府喔你買錯了買不對我最怕後面來這一套因為法律修嚴了你這種測試的標準基準廣度跟精確度你們都要有這樣的實驗室配合要人來保證這是我給你們建議希望你們待會去參考好不好謝謝
transcript.whisperx[276].start 7845.486
transcript.whisperx[276].end 7849.939
transcript.whisperx[276].text 謝謝委員好 謝謝魯明哲委員 謝謝次長跟各位官員接下來我們請陳青龍委員發言
transcript.whisperx[277].start 7863.131
transcript.whisperx[277].end 7876.398
transcript.whisperx[277].text 好 謝謝主席那我在這邊邀請我們陳政府次長好 請次長好 先次長就好了我來依序我也好好 謝謝針對今天
transcript.whisperx[278].start 7879.88
transcript.whisperx[278].end 7908.232
transcript.whisperx[278].text 我們道教條例的一個修法那我在這邊我要先來詢問我們交通部當然毒品的一個問題源頭的一個處理是最重要我們交通部我們今天所討論的修法都是在做這個後續階段善後修法的一個工作
transcript.whisperx[279].start 7909.432
transcript.whisperx[279].end 7926.99
transcript.whisperx[279].text 那當然毒品的一個犯案 毒價的一個問題那引起我們所有全國國人的一個注意那在這裡我看到我們交通部 包括我們部長
transcript.whisperx[280].start 7928.331
transcript.whisperx[280].end 7942.581
transcript.whisperx[280].text 那此事在媒體上就發布也發言那我想我們交通部目前針對我們道交條例的修法我們現在的進度在哪裡
transcript.whisperx[281].start 7943.682
transcript.whisperx[281].end 7948.386
transcript.whisperx[281].text 已經報行政院了嗎?行政院已經送到我們大院來所以我們也期待並在我們這一次包括我們黨團包括我們各位提出的修法版本一起併案來申請
transcript.whisperx[282].start 7964.557
transcript.whisperx[282].end 7986.085
transcript.whisperx[282].text 我想這個速度是一定很重要 全國人民都在看不過過去我自己在看報紙在說一直在宣示 我都覺得像我們民間話去說的說到整本書都沒有一堂誌 所以整個大家一起來努力
transcript.whisperx[283].start 7987.125
transcript.whisperx[283].end 7996.748
transcript.whisperx[283].text 那這樣的速度我們也期待透過我們今天的新的之後未來我們在委員會可以迅速的來討論那在這裡我發覺一個問題
transcript.whisperx[284].start 8003.67
transcript.whisperx[284].end 8018.52
transcript.whisperx[284].text 我們過去 渡假跟酒駕我們腳步修法 它是併在一起的那目前有一個狀況我看到我們的很多版本就是 渡假 酒駕我們啊
transcript.whisperx[285].start 8020.199
transcript.whisperx[285].end 8039.859
transcript.whisperx[285].text 把它單獨再拆開就是我們的賭價包括我們的花款包括我們的票照等等我們會比酒價來嚴格因為價格本身就緩緩嘛所以我們現在要把它修緩意義就是比較高的花款嘛但是現在有一個狀況
transcript.whisperx[286].start 8042.258
transcript.whisperx[286].end 8066.267
transcript.whisperx[286].text 獨駕跟酒駕又併在一起就是我坐停車 我在車上一樣又在使用交通工具這種情況目前我們看到的統計資料真的很嚴重短短兩個月從台北到高雄兩個月就有34位都這樣獨駕加酒駕
transcript.whisperx[287].start 8069.068
transcript.whisperx[287].end 8091.923
transcript.whisperx[287].text 叫賭、都領酒、都酒駕、又獨駕這樣的一個情況那我在這邊我想要了解我們華務部我們協團室有來嗎華務部也請教我我在這裡也要請教華務部的意見目前我們看到交通部的修法還有我們的很多版本把獨駕、酒駕拆開獨駕、加重
transcript.whisperx[288].start 8095.425
transcript.whisperx[288].end 8118.619
transcript.whisperx[288].text 但是我們現在就看到一個現象 獨駕又加酒駕 這樣的情況如果以目前的行政法 第24條提議項 我們只能挑比較重的嘛就是你既酒駕又獨駕 那我們修法通過獨駕比較嚴重我們就用獨駕的角度來處理 那我要問法務部的意見
transcript.whisperx[289].start 8119.62
transcript.whisperx[289].end 8135.574
transcript.whisperx[289].text 那既渡假又酒駕 酒駕也超過標準還有翻渡假 這個有機會來怎麼處理嗎 可以更加重嗎 法務部的意見謝謝委員的垂詢 看委員對新生爸爸果然也相當了解
transcript.whisperx[290].start 8136.595
transcript.whisperx[290].end 8164.115
transcript.whisperx[290].text 行政法第24條的規定是如果有一個行為觸犯數個行政法上的義務的時候就是從最終的那個去處罰但這邊有兩個層面的問題要處理一個是我們的實務運作上面是不是把一個吸毒之後再駕車跟另外一個喝酒之後再駕車這兩個行為是不是評價成自然意義或法律意義上的一行為這邊可能需要一個比較分析研究才能斷定它是不是適用24條第一項從一中處罰的問題
transcript.whisperx[291].start 8165.976
transcript.whisperx[291].end 8189.007
transcript.whisperx[291].text 那第二個層面是即便我們把它評價為一個行為那只能受一次的最重的處罰事實上在裁罰標準裡面事實上是可以做不同的認定的我舉個例子跟委員報告比如說我們施用一級毒品跟二級毒品同時施用的狀況事實上我們刑法上也只會處罰一個施用毒品罪但是同時施用一二級毒品在實務上一定會判
transcript.whisperx[292].start 8189.707
transcript.whisperx[292].end 8211.074
transcript.whisperx[292].text 比較重因為你同時適用兩種雖然在法定的刑度裡面是適用最重的那個適用一級毒品但是跟其他單獨適用一級比起來他一定會比別的人重很多如果你同時適用一二級的話我想這樣的道理應該也會貫穿在我們在行政在我們這個行政法一行為侵犯違反數個行政法上義務而單獨只受一個處罰的狀況那以上跟您說明好這個就是這樣的一個狀況那也謝謝王副的說明
transcript.whisperx[293].start 8219.677
transcript.whisperx[293].end 8247.616
transcript.whisperx[293].text 那這個部分我們也期待我們再有機會再做進一步的大家的一個討論那在這裡我們也看到獨家家酒家混在一起再來一個狀況就是累犯累犯累犯累犯你怎麼罰他他還是累犯你吊銷他紙照他還是繼續
transcript.whisperx[294].start 8249.797
transcript.whisperx[294].end 8266.969
transcript.whisperx[294].text 在渡假在酒駕那這個禮犯的過程當然我們現在定的一個修法要給他也是禮駕要開罰嘛禮駕再開罰那這樣的一個過程我們看到我們的資料
transcript.whisperx[295].start 8268.19
transcript.whisperx[295].end 8284.52
transcript.whisperx[295].text 無能的貧窮,累犯了兩次、三次、五次最多我看到的資料,累犯八次,他還是繼續宰犯那在這個過程當中,除了累計的加法,我們的修法之外那我這邊也發覺到,我們現在有公佈
transcript.whisperx[296].start 8290.023
transcript.whisperx[296].end 8300.632
transcript.whisperx[296].text 名單嘛 雷帆的名單有公佈嘛但是根據我去了解之後我們要公佈名單我們進入公路局的一個網站他這樣的連結非常複雜
transcript.whisperx[297].start 8303.988
transcript.whisperx[297].end 8323.698
transcript.whisperx[297].text 你要連結然後跳轉到其他各地區的監理單位再查詢然後再轉到公佈名單一直連結真的非常不方便所以而且一般民眾也不會去查所以我覺得目前公佈禮辦的
transcript.whisperx[298].start 8325.879
transcript.whisperx[298].end 8344.44
transcript.whisperx[298].text 名單這樣的一個網站這樣的一個連結是非常不OK的我在這裡就直接建議我們公路局我們應該要做一些調整要做一些調整好不好我們去講
transcript.whisperx[299].start 8347.211
transcript.whisperx[299].end 8360.764
transcript.whisperx[299].text 這個壘範公佈是不是在我們那邊來執行各位報告壘範公佈的部分是在處罰機關那當然這個六都市在六都然後這個十六縣市是在公務局那就公務局公佈的方式我們會來做一個檢討好不好這個部分做一個檢討我們國務部調查局我們對那個通緝犯的一個名單的公佈他們就很直接啊
transcript.whisperx[300].start 8370.894
transcript.whisperx[300].end 8393.889
transcript.whisperx[300].text 他們就很直接一夜四的訪問這樣的一個網頁能夠很方便、很直接讓要去查詢、要去了解這些壘犯的一個名單就清清楚楚好不好那就陳律師長所談的我們要來做一個改進另外
transcript.whisperx[301].start 8394.753
transcript.whisperx[301].end 8412.523
transcript.whisperx[301].text 另外我最後一點還是剛好我們今天警政署也在這裡我們從我們的資料我們看到我們的警察總統在第一線追捕這些獨家過去的酒駕現在的獨駕那也因為
transcript.whisperx[302].start 8416.766
transcript.whisperx[302].end 8429.537
transcript.whisperx[302].text 臨檢或是發掘 要去圍捕 要去追捕其實造成無辜的民眾死亡或是我們的員警自己的一個安全在這個過程當中我們雖然強力的執法
transcript.whisperx[303].start 8432.719
transcript.whisperx[303].end 8447.899
transcript.whisperx[303].text 那我在這邊也要來提醒 來提醒我們警政署 針對我們第一線的同仁也要特別注意他們的一個知情 臨檢的一個安全那個臨檢的技術 這些要注意
transcript.whisperx[304].start 8451.503
transcript.whisperx[304].end 8479.794
transcript.whisperx[304].text 也要去如果真的要去回補要去追這樣的獨家安全還是要第一啊這個部分我在這邊特別來提醒警政署好不好來謝謝委員這邊謝謝委員的關心有關那個之前的SOP跟那個引擎之前的案件那個這是我們這個警政署最重視的因為像獨家這個部分我們也好幾位同仁都
transcript.whisperx[305].start 8481.074
transcript.whisperx[305].end 8506.754
transcript.whisperx[305].text 英勇在追擊的時候不小心都受傷了對啊他也有通人在像土城的一個所長也是殉職的我想這都是我們一個採訪的經驗所以在這裡我們現在修法越來越嚴我們就是修法我看到各版本都很嚴那只要嚴我跟你講拒絕臨檢的想要逃逸的案子會越來越多
transcript.whisperx[306].start 8507.515
transcript.whisperx[306].end 8525.017
transcript.whisperx[306].text 因為你發的太嚴嘛他已經跑嘛跑你一定要追嘛狀況就來了所以這樣的一個部分我覺得我們在執法的精進跟SOP真的要特別注意今天就叫我這邊演你謝謝委員好最後我還有一點這個
transcript.whisperx[307].start 8527.58
transcript.whisperx[307].end 8540.346
transcript.whisperx[307].text 問題想要問我們交通部我們高齡者的換照目前我在地方上有看到我們的監獄站非常主動跟社區跟禮辦公處來合作就是方便長者不要到我們的監獄站
transcript.whisperx[308].start 8552.091
transcript.whisperx[308].end 8569.609
transcript.whisperx[308].text 直接在社區 直接在社區的活動中心能夠來辦理這樣的一個環照那在我的選區我也看到我們的經理站跟在地的醫院來配合來呼籲這些長者
transcript.whisperx[309].start 8571.09
transcript.whisperx[309].end 8598.961
transcript.whisperx[309].text 那我在這個過程發現 觀察到幾個重點我在這邊也提出 這樣的一個方案 我很認同高齡者 總是要賣我們的照片照過去嘛畢竟我們的監理站 就是一個監理站那長者要去監理站來換照 真的不方便所以我們照地嘛 但是我在這邊也觀察到一個
transcript.whisperx[310].start 8600.061
transcript.whisperx[310].end 8621.517
transcript.whisperx[310].text 現象在這個過程當中會不會造成長者在那邊辦理那個監察嘛你們還是要做身體的那個監察還要受那個交叉安全槍刑嘛然後OK才犯罪
transcript.whisperx[311].start 8622.602
transcript.whisperx[311].end 8626.466
transcript.whisperx[311].text 會不會變得比較好過 容易過 簡單過會不會 確定不會嗎不會 提高檢查的標準都是一致都是因為那天我們要當下
transcript.whisperx[312].start 8639.688
transcript.whisperx[312].end 8644.272
transcript.whisperx[312].text 來這裡,你委員,委員我跟你們說,來這裡可以做工作的,我沒辦法,聽他說,在這裡比較不麻煩,就有來報名,就一個提供,人家說一個獎勵,我們就一個在這裡聽聽,就OK了,就用我
transcript.whisperx[313].start 8661.519
transcript.whisperx[313].end 8687.739
transcript.whisperx[313].text 所以全國的標準SOP會一樣嗎跟我們報告一下這裡面有兩道程序第一道程序就是體檢體檢就是由醫師來做處理對啊這個體檢就在OK後面講習的部分就是大家上完課了那也沒有什麼測驗說要去評斷說分數如何如何的部分所以那個是希望有一個免費兩個小時的一個交通安全教育讓大家
transcript.whisperx[314].start 8689
transcript.whisperx[314].end 8692.663
transcript.whisperx[314].text 這個政策這個方向我絕對認同 我要跟處長說跟局長說另外應該是說那個地方比較輕鬆 你一定有辦的大家比較熟悉應該比較信任服務比較親切 他們的服務服務很好所以就覺得說 喔來這裡的社群比較好過他們的服務好 大家有這個感覺啦好 我覺得這個也要成果
transcript.whisperx[315].start 8715.819
transcript.whisperx[315].end 8739.998
transcript.whisperx[315].text 去推動 讓服務我們的長者更方便但是我在這邊要求還是我們的標準一定要一致因為讓長者 讓高齡者可以繼續換照能夠繼續善務 考慮到人安全也要考慮到其他人民的安全 好不好好 以上 謝謝謝謝委員 謝謝
transcript.whisperx[316].start 8741.317
transcript.whisperx[316].end 8745.515
transcript.whisperx[316].text 好謝謝陳慶榮委員的發言謝謝次長各位官員那我們現在先休息十分鐘
transcript.whisperx[317].start 9353.527
transcript.whisperx[317].end 9370.132
transcript.whisperx[317].text 好我們繼續開會我們接下來請邱若娃委員發言謝謝主席主席先請我們交通部陳次長還有警政署交通組陳副組長好請陳次長跟陳副組長委員好
transcript.whisperx[318].start 9375.206
transcript.whisperx[318].end 9400.666
transcript.whisperx[318].text 市長好 市長行政院在上週已經提出要從源頭組合還有強化查緝縱成獨駕三個面向14個作為要確保國人安全還有維護社會治安那本席也是支持加重要來獨駕的處罰那該罰就罰 該吊罩就吊罩 還有該扣車沒路就應該確實執行可是今天的修法不能只有把罰完還有吊罩的年限行度往上加
transcript.whisperx[319].start 9401.346
transcript.whisperx[319].end 9421.328
transcript.whisperx[319].text 那行政院竟然說這是一套完整的聯防機制那麼從前端的查緝還有中間他的取證還有後端的執行就必須要有效銜接那這些問題都應該在本次的修法要一併說明那這邊先請教我們警政署陳副署長那從今年1月警政署的資料也有
transcript.whisperx[320].start 9423.362
transcript.whisperx[320].end 9452.461
transcript.whisperx[320].text 也有顯示全國茶貨獨家6730件那跟去年比起來增加了2.8倍那警政署也表示超過98%是由我們員警主動攔查發現的嘛沒有錯嘛那茶器確實有加強那本席也予以肯定那請教警政署兩個執行問題我們現在各縣市啟動拖曳快篩的判斷標準是否一致報告委員這個部分呢其實也都有訂一個SOP
transcript.whisperx[321].start 9453.703
transcript.whisperx[321].end 9473.578
transcript.whisperx[321].text 是那像其實在各縣市或最近的案例有看到同樣是蛇行還有反應齒環精神異常的狀況那它的真相是疑似獨假嘛那所以你們現在目前都是照這個SOP來去做進行那從拖曳快篩它呈現陽性到你們完成正式的採檢到你們取得檢驗報告平均需要多久的時間請大概說明你們目前掌握的平均天數兩週
transcript.whisperx[322].start 9483
transcript.whisperx[322].end 9508.154
transcript.whisperx[322].text 兩週就可以尿液的部分那其他除了尿液之外呢?脫篩是馬上就可以知道脫篩馬上可以知道那其實那不是正式的檢驗報告嗎?是那其實行政院也知道那台大的法醫所這個國務所長他也表示那其實伊通明治他代謝的非常快他班衰息只有2到3個小時所以這不只是行政效率的問題那他也後續
transcript.whisperx[323].start 9508.974
transcript.whisperx[323].end 9523.11
transcript.whisperx[323].text 他也關係到後續案件的認定還有行政採取司法的程序嗎所以目前你們前端的效率有提升了那後續的銜接那請在警政署再提供一份你們目前的SOP給我OK好那這邊
transcript.whisperx[324].start 9523.951
transcript.whisperx[324].end 9550.14
transcript.whisperx[324].text 要接著請教次長那行政院也公開宣示目前修法方向就是獨駕車輛不問所有人一律沒路沒有錯吧那像是確實那對於獨駕上路無詐災犯還有雷犯或是他造勢致人死傷者那應該確實是要嚴格沒路那針對像第三人他所有車輛那交通部也必須要說明相關權益保障那像是如果車子這個車輛他是配偶所有或是他是公司租賃車的話那
transcript.whisperx[325].start 9552.461
transcript.whisperx[325].end 9573.238
transcript.whisperx[325].text 或是駕駛他根本沒有經過車主同意那你們要這樣的情形是否一律都是沒入呢我想跟委員報告一下有關沒入就是對外宣示就是不問是不是汽車所有人都一律沒入來宣示對於獨駕零容忍但是在實際執行上可以依照行政程序行政法法第22條的規定
transcript.whisperx[326].start 9574.939
transcript.whisperx[326].end 9588.964
transcript.whisperx[326].text 非出於故意或重大過失是不予處罰所以剛才委員特別提到的各種情況還是要依個案事實按照剛才我特別提到的是不是出於故意或重大過失來判斷是不是要把那部車子沒入還是可以不予處罰
transcript.whisperx[327].start 9590.144
transcript.whisperx[327].end 9612.819
transcript.whisperx[327].text 是不好意思我這邊先請陳副組長然後次長留在北巡台上就好可以先請會座休息對那像今天那這次提出的版本然後跟交通部的討論那你們有沒有就是針對像第三人設計或是審查機制像如果第三第三人他在處分前他還能夠陳述意見因為他是在不知情的情況下車輛可以啊可以做使用還可以這是一定可以是現行的機制裡頭就有這樣一個機制
transcript.whisperx[328].start 9614.68
transcript.whisperx[328].end 9632.117
transcript.whisperx[328].text 我看到司法院的書面他的意見也提醒像部分版本可能會出現處罰輕重不一致的情形像是獨駕沒有肇事是你們目前就是當現場就是摸路車輛嘛那如果像是獨駕他肇事致人重傷或是死亡反而是得摸路那這樣交通路
transcript.whisperx[329].start 9633.138
transcript.whisperx[329].end 9656.273
transcript.whisperx[329].text 也請交通部說明 行政院版本有沒有排除這樣處罰輕重失衡的情況有跟委員報告 像委員剛才講得末路或者我們在這一次修正的條文裡頭 我們都改成就是末路都是改成末路 那今天下一個問題 那今天也有很多委員也都關心到嘛像6月18號全國專案他一晚就查獲155件獨駕 那他一致保管的車輛有154輛
transcript.whisperx[330].start 9658.354
transcript.whisperx[330].end 9679.654
transcript.whisperx[330].text 那幾乎每查獲一件就要處理一輛車那從今年一到五月全國都已經查獲了六千七百三十件獨駕那修法之後那基本上獨駕的車輛都是要沒路的那地方的保管場承受的案件數勢必是增加的那交通部你們這一次的書面報告也有提到修法過後那各縣市的保管車輛的空間跟需求
transcript.whisperx[331].start 9680.495
transcript.whisperx[331].end 9700.357
transcript.whisperx[331].text 他的空間還有他的那個需求將會大幅增加嘛那所以才建議把屆期未領回的車輛從三個月縮短到一個月那交通部這邊有沒有去做過統計目前全國公有跟委外的保管廠你們的總容量是多少是麻煩請警政署來說明一下好不好
transcript.whisperx[332].start 9702.963
transcript.whisperx[332].end 9731.368
transcript.whisperx[332].text 這個部分先跟委員報告一下因為去年那個今年無照駕駛上市要上路的時候我們去年就已經跟各縣市調查公有保管車輛一個收納空間那基本上我們就像委員您的簡報所提到青北市一直在懷疑那個保管公有保管場的車輛那個空間不足所以這個部分我們也建議交通部等公告的期間下個月改為一個月因為我們除了交通
transcript.whisperx[333].start 9732.589
transcript.whisperx[333].end 9738.415
transcript.whisperx[333].text 這邊也請教一個問題如果像是同一輛車它一方面是行政陌路的那另外一方面譬如說它又是刑事的案件物證那是由哪一個機關來做負責
transcript.whisperx[334].start 9752.853
transcript.whisperx[334].end 9775.703
transcript.whisperx[334].text 行事優先行事優先OK好那因為目前就剛剛陳副長你有提到像是新北市他目前其實已經爆量了嘛那其實相信在派出所一些派出所然後他們也有反應他們根本車子不知道放去哪裡所以這個問題再請我們警政署跟交通部要來說去需要再做完整的討論啦
transcript.whisperx[335].start 9776.623
transcript.whisperx[335].end 9797.805
transcript.whisperx[335].text 所以不要造成基層員級的困擾特別提到說是不是修法把三個月縮短為一個月這個我想我們會來支持這邊會問到是因為行政院宣示只要經過警察機關確認新一時毒品他屬實那一律預防性會調照兩年那也請教授說明這項措施是否也包含未涉及駕駛行為
transcript.whisperx[336].start 9800.362
transcript.whisperx[336].end 9819.666
transcript.whisperx[336].text 是針對只有單純吸毒的 沒有駕駛 不是毒駕的就是它有吸毒的這種違法的情勢然後經查獲了以後我們就會來做吊銷駕照的處分那所謂經警察機關確認吸食毒品屬實那它是以什麼樣的檢驗成果跟法定程序作為認定的依據
transcript.whisperx[337].start 9820.566
transcript.whisperx[337].end 9829.955
transcript.whisperx[337].text 這個是不是可以請警政因為我們有相關的一個資訊會從警政機關他查獲了以後會把他有吸食毒品的這種情形會送來送給我們 對
transcript.whisperx[338].start 9834.366
transcript.whisperx[338].end 9853.513
transcript.whisperx[338].text 然後後續我跟委員報告後續的話我們也會在相關的這個道安規則或處理細則以後裡面訂定相關的這樣一個我們跟警察機關如何來合作處理這件事情然後如何來來要求通知駕駛人要來做這個吊銷駕照的處分老師關於我剛才的問題那也
transcript.whisperx[339].start 9857.9
transcript.whisperx[339].end 9887.32
transcript.whisperx[339].text 報告委員 這個部會我們檢視所會再召開相關的會議邀請那個六大吸毒機關來跟我們來討論所以還要再做討論對我是支持 因為我其實是要在事故之前就先處理這些高風險者嘛那不要等到每次有上網之後才來做檢討可是我看到因為經確認吸毒所以我才這邊特別向次長還有我們有關單位了解到底是以什麼樣的法律事實跟程序認定為基礎那必須要做明確是不是單憑這個拖曳快篩他就能直接掉下駕照呢
transcript.whisperx[340].start 9890.021
transcript.whisperx[340].end 9906.827
transcript.whisperx[340].text 我想這個我們初步的討論裡頭這裡頭有特別提到說經警察機關取得行為人的尿液檢查報告為陽性或陰性素質然後確認有吸毒的話那警察機關大概就會開出相關的罰單然後罰單會送
transcript.whisperx[341].start 9908.027
transcript.whisperx[341].end 9922.962
transcript.whisperx[341].text 送給監理機關那監理機關會來做吊銷駕照的處理但是剛才有特別提到後續如何來確認如何來執行也就是我剛才特別提到我們後續會在這個相關的一個規定細則裡面去訂定相關那個執法的一個要領
transcript.whisperx[342].start 9923.766
transcript.whisperx[342].end 9943.806
transcript.whisperx[342].text OK 好 謝謝市長說明那最後一個問題那這邊我有看到交通部的版本規定因為獨駕或是吸毒找處分的人他在重新考駕照之前要先完成防治教育還有觀察樂界那強制戒制嘛然後也要參加這個毒品危害的講習經過六個月的觀察那這個六個月的觀察期目前的風險評估依據是在衛福部嗎
transcript.whisperx[343].start 9946.089
transcript.whisperx[343].end 9970.025
transcript.whisperx[343].text 六個月的這個觀察期是在我們的這個監理機關因為跟委員報告就是說他來考照結束了以後我們最後是要發給駕照那我們沒有再立即發給就是有觀察六個月的期間如果他沒有再有吸食毒品的情勢或者是毒價的情形我們才會發給他駕照所以就是在這個六個月的觀察期來做這件事情
transcript.whisperx[344].start 9970.325
transcript.whisperx[344].end 9994.572
transcript.whisperx[344].text 那如果他在這個期間他如果犯了這個相關的譬如說他又獨駕了那又有可能是第二次的獨駕依照其他的規定他就是終身不得考照所以他也連考就沒有考所以我們不可能再發駕照給他因為我們現在是要重申獨駕嘛那目前你們有沒有去盤點我們也看到這個數字暴增那有沒有去盤點目前就是在醫療還有他這些機構的量能是否能夠足以因應這些需求呢
transcript.whisperx[345].start 9996.144
transcript.whisperx[345].end 10020.145
transcript.whisperx[345].text 我們在訂定相關這樣的一個規定的時候我們大概都有跟衛福部等相關單位大家共同討論所以這些量能我想我們應該是初步的盤點應該是可以指引的應該是可以那我剛才就是有問到像我們警政署然後你剛才有提到有一些問題還是在討論中那也請討論就是有你們有一個結果之後也提供相關的資料給我好沒問題好謝謝市長好謝謝以上
transcript.whisperx[346].start 10022.435
transcript.whisperx[346].end 10041.816
transcript.whisperx[346].text 好謝謝邱若驊委員的發言也感謝次長及各位官員我們現在一位登記質詢發言的委員黃建豪請黃建豪召委
transcript.whisperx[347].start 10047.315
transcript.whisperx[347].end 10060.628
transcript.whisperx[347].text 好 謝謝主席 我們接下來請交通部次長 陳彥博次長好 請次長法務部謝志明參事請參事警政署交通組陳朝堅副組長好 請警政署交通組陳副組長
transcript.whisperx[348].start 10065.736
transcript.whisperx[348].end 10088.715
transcript.whisperx[348].text 市長好 各位好我想今天特別安排這個道教條例的審查當然也是因為說今天院版可能會把相關的這些版本送出來那在時程上安排上我做招委我希望說今天先詢答完畢之後後續我們就能夠直接並案的來審查不管是院版也好還是各位後續提案大家能夠盡快的把這個期程把它完成因為剛剛也有委員提到說如果
transcript.whisperx[349].start 10089.495
transcript.whisperx[349].end 10114.992
transcript.whisperx[349].text 6月底提出來 按照立法院的時程可能包含詢答 包含審查等等到最後真的上路可能要過好幾個月以後的事情所以我們今天把它提出來 當然希望能夠加速那在討論的部分裡面 我們還是希望說來問一下實務上 很多委員關心一件事情就是說其實現在 依託民營紙這個毒品或者其他新興毒品 它的代謝是很快的所以你們現在在執法過程裡面第一線警察使用的是拖曳快篩嘛
transcript.whisperx[350].start 10116.346
transcript.whisperx[350].end 10141.855
transcript.whisperx[350].text 那我們先請警政署來幫我回應一下事情這個脫衣快篩那按照現行的法律脫衣快篩完那你回去之後要不要再做尿檢要要再做尿檢那個優秀的話一定要護尿檢那要檢是不是要經過檢察官的核可那你們才來做尿檢這件事情就不用了要不要報檢察官志願同意就不用阿哈羅不要咧我們是報檢察官核發那個許可書
transcript.whisperx[351].start 10144.155
transcript.whisperx[351].end 10168.151
transcript.whisperx[351].text 好 謝謝 那我們想問一下我們謝參事喔在這個過程裡面當然警政組是說如果他資源他就不用報你們這個檢察官來同意嘛那今天一定他如果現在我想陸陸續續包含說你現在上網搜尋很多律師事務所已經在教大家怎麼樣去規避這個尿檢的這個責任比如他就說你可以拒檢你可以拒檢嘛因為你這個
transcript.whisperx[352].start 10169.785
transcript.whisperx[352].end 10185.947
transcript.whisperx[352].text 這個已脫名詞它的代謝是很快的所以今天尿檢出來了送到警察局然後如果他不同意尿檢要報警察官同意那這個時程拖過去搞不好我不知道實證上怎麼樣會不會出來結果就沒有了所以在法律上面我們能不能去針對像這種新興毒品
transcript.whisperx[353].start 10188.459
transcript.whisperx[353].end 10204.711
transcript.whisperx[353].text 能夠免掉這樣子的行政流程有機會嗎這邊跟我原來報告就是依現行法現行的制度來講的話因為在盜竊條例目前是針對獨駕的獨駕部分是沒有直接驗尿的規定
transcript.whisperx[354].start 10205.612
transcript.whisperx[354].end 10215.019
transcript.whisperx[354].text 所以這次修正草案有處理這個事情所以現行是用刑事訴訟法來處理刑事訴訟法在相關在2051跟2052其實針對不同的狀況有報請檢察官來核發材料的許可或是抽寫許可的問題
transcript.whisperx[355].start 10222.705
transcript.whisperx[355].end 10249.111
transcript.whisperx[355].text 那遇到急迫的案件尤其像這種交通的案件或是甚至有釀成傷亡的狀況其實在很多運作事務上都會用傳真的方式來辦理所以在書面的檢審的流程上面其實是會很快速那我們各地的檢查署其實也都有值班的檢查官其實就值班這件事情都是24小時安扣的只要有急迫的狀況其實值班的檢查官都會立即做快速的處理
transcript.whisperx[356].start 10251.672
transcript.whisperx[356].end 10267.92
transcript.whisperx[356].text 至於說之後在新政院版的規劃的草案上面其實也會有另外一個按照獨立條例立戰15條來規定來報請檢察官核發鑑定許可書的狀況而且它有一個情況急迫的例外它是可以先斬後奏在情況急迫的時候是可以警方先採尿
transcript.whisperx[357].start 10268.84
transcript.whisperx[357].end 10287.702
transcript.whisperx[357].text 那採完尿之後再來報檢還要不然補發那這一塊也可以來記憶可能事務上產生的一些狀況好 謝謝蠶絲我想這個很明確的一個說法大家現在關心就是說包含我剛剛提到了現在很多人的在網路上已經還在教學怎麼去規避相關的資料那如果你們能夠
transcript.whisperx[358].start 10288.783
transcript.whisperx[358].end 10295.675
transcript.whisperx[358].text 我很感謝縣財所可以先斬後奏啦因為這件事情對人民的生命財產影響非常重大包含說本席過去針對盜交條例90條提案也是針對這個過去毒品篩檢
transcript.whisperx[359].start 10301.144
transcript.whisperx[359].end 10323.405
transcript.whisperx[359].text 要排兩個月那到底那個兩個月怎麼計算很多時候已經過了他根本是驗不出來了那更何況現在已妥名詞他的代謝是幾小時來計算的所以怎麼樣讓他變成確實有犯罪事實然後能夠符合相關盜交條例甚至刑罰的懲罰我想這是很重要的程序好那感謝一下那我們請那個法務部謝三世跟陳組長可以先回座我先針對我們次長的部分
transcript.whisperx[360].start 10325.24
transcript.whisperx[360].end 10349.338
transcript.whisperx[360].text 市長剛剛其他委員有提到一件事情其實我們很在意一件事情你看這個獨駕的問題從這次引述媒體資訊從今年1月到6月為止造成全台灣因為獨駕造成死亡已經造成18死那從整體統計數據剛剛很多委員提到1到5月整體的獨駕數值6730件換句話說等於每天平均被查獲的獨駕還不然沒有被查獲的有些
transcript.whisperx[361].start 10350.458
transcript.whisperx[361].end 10373.676
transcript.whisperx[361].text 沒有被發現 有時候沒有發生車禍的時候他沒有被發現 沒有被檢到等於像每天有45輛車在 至少45輛車在路上亂跑 這些人可能都會吸毒所以在這個毒價跟酒價的部分 我們真心認為啦在法律條文上面應該分開處理因為你剛剛 市長你剛剛回應其他委員講說雖然在這個同一個法律裡面 但是因為針對細則裡面
transcript.whisperx[362].start 10375.819
transcript.whisperx[362].end 10404.741
transcript.whisperx[362].text 酒價是三萬然後這個獨價最高十二萬就用十二萬開始罰但是我想比較合理的方式本席也有相關提案但是因為還沒有送進來本席的相關提案是說獨價是另外我可以同樣放在三十五條裡面處理可是可能在第二款它有不同款項去處理嘛比如說獨價的部分你就直接從二十四萬為什麼從二十四萬因為你酒價十二萬是你累犯累犯都是十二萬所以酒價但是那個爐底是說喝酒沒有罪是喝酒開車有罪
transcript.whisperx[363].start 10405.751
transcript.whisperx[363].end 10413.775
transcript.whisperx[363].text 所以他罰12萬可是獨家不一樣你吸毒本身就已經有罪了然後你吸毒又開車這要罪加一等那為什麼提24萬我認為就是說因為你9加了12萬
transcript.whisperx[364].start 10417.697
transcript.whisperx[364].end 10436.866
transcript.whisperx[364].text 獨家叫最佳一等那我乘以一倍變24萬大概這樣的邏輯所以這個修法的這個方向我不知道交通部有沒有辦法去支持這樣子的方式就是說不能就把它放在同一個條約裡面然後用用細則去處理應該是把它很明確的法規化你可以放在同一個條約裡面但是應該不同的款項款次去處理這個問題市長
transcript.whisperx[365].start 10439.716
transcript.whisperx[365].end 10462.016
transcript.whisperx[365].text 我想委員的意見這個後續我們在逐條討論的時候可以看得到我們的條文的比較詳細的我們的條文大概大原則都是採取剛才委員講的這個分開的處理酒駕跟獨駕它其實是分開的即便是在同一款裡頭我們寫完以後也會想譬如說我隨便講
transcript.whisperx[366].start 10463.297
transcript.whisperx[366].end 10484.106
transcript.whisperx[366].text 但是唯一只有剛才應該是萬委員特別提到的第一個有關第一次的這個獨駕因為第一次我們為什麼沒有特別分開寫是因為獨駕本身第一次跟酒駕就是有脫鉤了所以我們就認為那個不需要特別寫但是後續不管是拒絕也好或者是累犯也好我們都是分開寫的
transcript.whisperx[367].start 10485.106
transcript.whisperx[367].end 10512.545
transcript.whisperx[367].text 所以說原則上委員的意見我們也是支持至於說條文怎麼來表達這個我想我們在討論的時候主條討論的時候再來討論好 市長謝謝我想另外在條文裡面針對這個末路車輛有些委員可能有意見但是我要跟你表達一下我們是很全力支持只要獨駕查獲就是末路車輛這個部分我是絕對支持因為過去在處理假車牌在處理其他案件的時候我也是這樣相關提案我認為確實就是要末路車輛因為
transcript.whisperx[368].start 10513.846
transcript.whisperx[368].end 10528.331
transcript.whisperx[368].text 你說你吊扣他的什麼駕照他的這個吊銷他的駕照有的沒有那個都沒有用啦他已經吸毒了吸毒力違法他就擺明知道違法是他都做了你扣他照也沒有用他還是可以開車上路所以這部分我們絕對是會支持的但是回到頭來講就是說這個針對整個他
transcript.whisperx[369].start 10531.212
transcript.whisperx[369].end 10552.584
transcript.whisperx[369].text 已經吸毒完之後然後被查獲那你重新讓他去考照的部分喔我問個細節喔他這個考照他後續能夠去考照經過不管是經過這個相關的熱毒機構熱結機構確認他已經暫時沒有毒癮的情況下面他重新考照這考照實務上到底是回監理上考還是要去加薪班考
transcript.whisperx[370].start 10557.788
transcript.whisperx[370].end 10570.581
transcript.whisperx[370].text 你們現在是有特別規定嗎?有討論到這部分嗎?因為我們知道啦,我們都很坦白說啦,在接您站考比較難過啦在居門考很好過嘛,繳錢就一定會給你過啊基本上是這樣子,不要太誇張的話跟我們報告一下
transcript.whisperx[371].start 10574.632
transcript.whisperx[371].end 10602.312
transcript.whisperx[371].text 報告下如果應該是6月就是這個月底要實施的部分吊銷駕照三年以上的部分就是要強制上駕訓班之後才能夠這一個考照那剛剛委員有提到那就是說是在這一個駕訓班原地考照還是到監理機關這一個考照那我跟委員報告說即使是駕訓班這一個原地考照的相關的考驗人員基本上也都是這個我們的考驗員在做考驗
transcript.whisperx[372].start 10603.312
transcript.whisperx[372].end 10623.558
transcript.whisperx[372].text 沒關係局長這個我覺得我們討論之後來討論一下因為這個是我現在提出來大家可以回去再思考一下後續怎麼樣去面對這個事情要包含說在院版的60條條文裡面你們沒有針對幾年內他一定要完成這個樂界的程序嗎然後在我的版本裡面是有要求幾年內要完成所謂樂界程序因為這個
transcript.whisperx[373].start 10625.478
transcript.whisperx[373].end 10652.802
transcript.whisperx[373].text 有的人吸了很多年那他到底多久要完成這件事情就他把這個樂界確定他沒有毒癮的這件事情確認了再去考照而不是說他假設我今天被抓到好那我這幾年我就偷偷開藥或怎麼樣也好我沒有去考新的駕照那可能過幾年他有工作上的需求他再回去考照所以我覺得這是不同的做法就是說你應該在
transcript.whisperx[374].start 10654.431
transcript.whisperx[374].end 10675.707
transcript.whisperx[374].text 毒品零融合的前提之下包含說你要要求他幾年內要完成這件事情我覺得委員特別提到說幾年要完成這個毒飲的介制啊這個我比較覺得你是不是應該後續提出來的時候再來討論因為這個很像放在這個處罰條例裡頭有關這個駕照管理上很像是有一點
transcript.whisperx[375].start 10676.488
transcript.whisperx[375].end 10697.115
transcript.whisperx[375].text 因為我們的酒駕裡頭是說確保他沒有這個毒癮經過戒癮的以後他就進入可以考照但是委員剛才特別提到就是說是不是要有一定的期間來確保啊這整個這可能要變成是整個毒癮啊或者是戒治上的規定上是不是有更嚴謹的規定可能要從那裡來討論
transcript.whisperx[376].start 10698.055
transcript.whisperx[376].end 10710.485
transcript.whisperx[376].text 好 市長謝謝最後一個問題對不起 主席最後一個問題這跟獨家沒關係最近這個FSD的問題我想交通部已經有在準備做了那到底對交通部來講FSD到底是屬於輔助駕駛
transcript.whisperx[377].start 10712.68
transcript.whisperx[377].end 10735.848
transcript.whisperx[377].text 還是自動駕駛因為在他的現在的FSE的技術上面來講他這個雙手目前車廠相關車廠他們的相關規範裡面他的雙手也不能他一定要有人坐在裡面他的法規範裡面最終負責還是那個駕駛人不是機器也不是廠商所以在這個規範他到底是屬於在你們的任地裡面他未來在處理這過程裡面他是屬於輔助駕駛呢還是他會被認為是自動駕駛我想這涉及到
transcript.whisperx[378].start 10740.589
transcript.whisperx[378].end 10762.157
transcript.whisperx[378].text 因為現在沒有自動駕駛的法規那如果沒有自動駕駛法規的話那當然我們要有相關的法規你才能讓他上路可是他如果是輔助駕駛的一部分他只是比較智慧型的輔助駕駛但是他的負責的這個最終承擔責任的造者的人還是駕駛人本人的話他應該就是屬於輔助駕駛的一部分那可能他的進程就比較快我不知道現在交通部隊正式的態度是什麼
transcript.whisperx[379].start 10763.752
transcript.whisperx[379].end 10785.159
transcript.whisperx[379].text 報告這分兩塊來講一個是特斯拉自己提出來他自己廠商自己的宣告那我剛才詢問一下特斯拉雖然已經提出了一個申請但是他自己提出來申請是Level 2的一個意思就連廠商他都不認為自己的系統已經到達Level 3的所以如果是這樣的話我們不可能去和給他說他是Level 3的
transcript.whisperx[380].start 10788.96
transcript.whisperx[380].end 10811.209
transcript.whisperx[380].text 那至於說如何來審查我們在我們的這個現行的這個規定裡頭就有特別提到因應各種這種新興的這個科技導入這個汽車駕駛來輔助的這個功能我們有一個審查的機制所以我們目前正在透過VSCC車安中心正在就他提出來的案子在做審查好 市長謝謝我想提level 2就是因為他
transcript.whisperx[381].start 10812.861
transcript.whisperx[381].end 10834.048
transcript.whisperx[381].text 卡在如果他如果變level 3他就真的自動駕駛了我們的法規會很麻煩啦大家發現level 2裡面他要負擔的責任更重對那當作輔助駕駛至少是放在現在的現行法規裡面去做相關審查啦那可能時程上理論上看起來比較快一點那當然我們希望這個部分我想民間這個國人的期待還有跟著跟著世界潮流我想各國
transcript.whisperx[382].start 10834.608
transcript.whisperx[382].end 10848.064
transcript.whisperx[382].text 歐洲、美國甚至是中國大陸都已經在做相關的這個準備了他都有去提出申請啦但是審核的程序還是很嚴謹的各個國家都已經這個最後一句話這個要提醒次長因為台美ART的部分針對美製的
transcript.whisperx[383].start 10850.607
transcript.whisperx[383].end 10875.941
transcript.whisperx[383].text 這個特斯拉FST的部分ART裡面看起來它是直接要開放喔那如果這事情沒有跟上相關的這個審查進度的話到時候ART如果真的生效我們預計可能下半年要去做處理嘛那ART如果生效那美國的真的原廠特斯拉進來在台灣到底能不能上路我覺得到時候會成為一個法律的問題也會成為政治問題所以我們希望教科目在這個審查的部分要加速一點好不好是 這個我們會再注意 謝謝好 謝謝
transcript.whisperx[384].start 10882.564
transcript.whisperx[384].end 10909.964
transcript.whisperx[384].text 謝謝黃建豪周圍的資訊好 接下來請林倩琦委員發言 林倩琦不在 現在請盧憲憶委員發言 盧憲憶不在 現在請抱歉抱歉抱歉請盧憲憶委員發言 謝謝謝謝主席 有請我們警政署來 請警政署
transcript.whisperx[385].start 10911.78
transcript.whisperx[385].end 10936.515
transcript.whisperx[385].text 陳副組長好謝謝那我上次在內政部的獨駕專報有問過一個問題就是關於我們偏鄉地區如果24小時的那個路檢站這些偏鄉如果發生獨駕案件的時候我們這些第一線有沒有足夠的試劑有沒有有沒有受過
transcript.whisperx[386].start 10936.715
transcript.whisperx[386].end 10938.256
transcript.whisperx[386].text 我持續自己跟委員報告一下好
transcript.whisperx[387].start 10970.659
transcript.whisperx[387].end 10984.373
transcript.whisperx[387].text 有關本署,4G的部分就是依據地質法跟財政收支規劃法,持續有督促各警察機關依據轄區的獨情評估需求數,做滾動式的辦理採購
transcript.whisperx[388].start 10987.356
transcript.whisperx[388].end 11003.232
transcript.whisperx[388].text 是 那我是希望平衡地區還是要有一些司機到達不然如果說第一線人員碰到類似獨家的話他們沒有司機的話不是等於是沒有武器可以用啊 是不是所以這個部分還是要儘速能夠盤點好不好好 謝謝第二個問題我請我們陳次長
transcript.whisperx[389].start 11012.328
transcript.whisperx[389].end 11030.763
transcript.whisperx[389].text 針對無照駕駛的部分淨娟基金會有做一些研究希望能夠推動分眾式教育建立差異化的處遇機制跟推動親子互動到岸的課程針對偏鄉我們常常要知道說我們有時候是家長明知道孩子無照去提供車輛
transcript.whisperx[390].start 11031.764
transcript.whisperx[390].end 11055.657
transcript.whisperx[390].text 交通部如何跟教育部跟警政及地方政府建立家庭責任跟親子教育的一個機制第二個問題就是針對偏鄉青少年通學打工課後活動及就業的移動需求交通部有沒有針對高風險地區的交通缺口的清單作為盤點第三個車輛不是違規者所有的時候所有人是否已經妥善查證跟管理責任未來執法如何判斷
transcript.whisperx[391].start 11056.417
transcript.whisperx[391].end 11072.546
transcript.whisperx[391].text 不能讓真正上進管理義務的家屬 租賃業者跟車主也在程序不清楚之下來承受車輛被目錄的後果所以希望交通部能夠在三個月之內提出偏鄉青少年合法移動與無照的防治方案的書面報告
transcript.whisperx[392].start 11073.226
transcript.whisperx[392].end 11098.402
transcript.whisperx[392].text 也盤點原鄉偏鄉通學打工就一個夜間返家的交通缺口另外應該結合幸福巴士幸福小黃需求反應式的運輸校車與地方的共同服務來補足我們最後缺口的具體時程對初犯累犯家長交車與車主的失職建立不同層次的分流處境而不是全部靠罰款我想聽看交通部目前的規劃
transcript.whisperx[393].start 11099.823
transcript.whisperx[393].end 11128.222
transcript.whisperx[393].text 對我想跟委員報告委員特別提到這個是如果在我們來看就是經常講的就是說行的正義類似像這樣的議題那當然偏鄉的很多的一個學子他有可能因為公共運輸的不足或者是出行的不便所以有難免會有無照駕駛的情形所以剛才特別提到金捐文化基金會特別提出對於無照當然無照除了這個法令的這個修法
transcript.whisperx[394].start 11129.343
transcript.whisperx[394].end 11156.723
transcript.whisperx[394].text 最近休了但是更重要的就是說在無照之後如何結合學校跟社區大家共同來輔導來輔導這些青少年朋友讓他們能夠取得駕照我想這一塊其實在公務局也好或在縣市政府大家都朝著這個方向來走這是第一塊那第二塊剛才委員特別提也就是我特別提到就是說如何讓這些偏鄉的人他有行的這樣的一個這個當然我們現在所謂的幸福巴士我們加強
transcript.whisperx[395].start 11158.864
transcript.whisperx[395].end 11176.57
transcript.whisperx[395].text 對還有公車競效員等等那另外目前有所謂的這個電輔車吧電輔車的但是微型電動二輪車等等的如何來輔導他們能夠使用這些交通工具而且是合法安全的使用這些交通工具後續呢我想我們會來積極的來做一些處理
transcript.whisperx[396].start 11178.211
transcript.whisperx[396].end 11202.783
transcript.whisperx[396].text 那原則上委員希望我們提出相關的一個報告供委員參考這部分我們會積極來辦理最後一個問題就是我們關於高齡換照這個部分因為知道現在已經有70到75歲還有75歲以上這兩個不同年齡級別的那我先說針對偏鄉的地方因為我們知道如果說沒有一站式服務的話等於是需要家屬去帶展者去到都會去來弄這些
transcript.whisperx[397].start 11203.303
transcript.whisperx[397].end 11231.986
transcript.whisperx[397].text 所以上次在嘉義阿里山鄉曾經有很成功的一個經驗就是把阿里山鄉公所衛生所透過行動監禮車把體檢獎席維感認知跟換照整合在一起所以如果他們做得非常成功而且是民眾反映得很好我是覺得應該推廣到全國讓這些我們的長者能夠在不麻煩家屬的狀況之下來取得他們應該要的這些認證那我希望說
transcript.whisperx[398].start 11232.927
transcript.whisperx[398].end 11247.726
transcript.whisperx[398].text 如果沒有辦法再取得認證的人是不是也要同步的去銜接幸福巴士幸福小黃這樣的一個揪一揭送不是只收回他的駕照卻不管長者以後怎麼去醫院怎麼去採買怎麼維持生活所以我希望有兩個承諾第一個就是
transcript.whisperx[399].start 11248.386
transcript.whisperx[399].end 11272.763
transcript.whisperx[399].text 請交通部將預言箱跟偏鄉高齡換照一站式的服務能夠列為常態公佈年度巡迴的服務地點跟時程讓長者知道什麼時候在哪裡可以去完成所有的程序第二個就是把這項工作列入明年度的KPI並整合專案資源支持監理站 衛生所跟相關所及部落地點做跨機關的協作然後現在有聽到說很像是沒有來辦的話可能會罰兩萬塊兩萬四千塊然後
transcript.whisperx[400].start 11277.166
transcript.whisperx[400].end 11286.922
transcript.whisperx[400].text 後來看到新聞說可能兩年內半頭就不會收到罰款這樣的一個所謂的以後的方式是不是能夠廣為周知讓我們全國的長者知道
transcript.whisperx[401].start 11291.125
transcript.whisperx[401].end 11307.497
transcript.whisperx[401].text 剛剛委員所提到的部分那第一個就是一站式服務的話是在22個縣市都有在推廣那尤其是偏遠鄉的部分列為優先的一個部分那所以剛剛委員所提到包括類似阿里山這個部分其實在屏東在高雄山區的部分都有在這個推動
transcript.whisperx[402].start 11308.698
transcript.whisperx[402].end 11331.914
transcript.whisperx[402].text 那另外一個部分的話就是說這樣子的一個這個方式的話我們會持續列為我們這個高齡換照的一個這個等於說跟民政系統還有這個鄉鎮公所大家合作的一種措施來辦理那第三個部分的話剛剛委員提到說高齡換照如果預期沒換照的話它不是無照駕駛它是駕照預期能駕駛那個依照處罰條例22條是處罰最高法案是1800元
transcript.whisperx[403].start 11338.658
transcript.whisperx[403].end 11354.84
transcript.whisperx[403].text 三萬六千元的一個花款最後因為本人以前在衛生所服務那常常服務這些要換照的一個民眾那我希望說就衛生所的一個型態來說希望如果說就一個時間點的話就盡量利用一個下午比如說禮拜三禮拜四的下午因為有時候早上衛生所要打疫苗要看診
transcript.whisperx[404].start 11355.521
transcript.whisperx[404].end 11379.387
transcript.whisperx[404].text 那可是也不能把所有的工作都交給衛生所因為衛生所他也有其他的業務要做所以應該也要結合相公所的力量把我們跨機關的一個單位來做不要把全部的loading交給又交給護理人員不要打email的時候找護理人員換照的時候也找護理人員去變成護理人員的double loading 好不好好 謝謝好 謝謝陸縣議委員的發言 謝謝感謝次長
transcript.whisperx[405].start 11384.073
transcript.whisperx[405].end 11386.194
transcript.whisperx[405].text 接下來我們請林俊憲召委發言好 謝謝主席本席邀請我們交通部陳彥博次長來 請次長委員好 次長好次長 今天我們在討論獨家的問題看得出來大家對獨家都是深惡痛絕
transcript.whisperx[406].start 11411.24
transcript.whisperx[406].end 11419.939
transcript.whisperx[406].text 不管是交通部行政院這邊的修法方向以及剛剛我們立委同仁大家表達的意見都是
transcript.whisperx[407].start 11421.155
transcript.whisperx[407].end 11447.237
transcript.whisperx[407].text 那我們也確實看到了這種獨駕肇事他的件數以及造成無辜民眾的死傷這個案件這很可怕了例如獨駕的取締件數如果我們從2021年當年只有43件在去年就高達了8659件等於2021年到去年一共成長了200倍
transcript.whisperx[408].start 11449.588
transcript.whisperx[408].end 11471.396
transcript.whisperx[408].text 那未來的這個修法方向 我看大概正院版的啦當然是交通部提出來的第一個就是加重罰款 都叫加重他的處罰第二個 吊銷他的駕照甚至延長限制一些條件 讓他才可以重新考照
transcript.whisperx[409].start 11472.336
transcript.whisperx[409].end 11497.638
transcript.whisperx[409].text 再來就是同車者的責任同車的乘客如果明知道駕駛人施用毒品沒有勸阻要負起責任再來就是累犯加重如果你曾經有過那你再犯當然我們要加重他的處罰以及你要重新考照必須要有 剛剛你有提到必須要有戒除毒癮的這樣的一個證明
transcript.whisperx[410].start 11499.489
transcript.whisperx[410].end 11528.368
transcript.whisperx[410].text 還有沒入車輛那沒入車輛啊其實是算是很嚴重一個處罰啦不管你是吸駕駛就是說你獨駕甚至拒車你拒絕檢測也要沒入車輛而且不管駕駛人是不是為車主都要直接將車輛沒入啦那至於至於獨駕沒入車輛啊或者拒車啊我們把車輛沒入這個看起來大家都贊成啦
transcript.whisperx[411].start 11529.318
transcript.whisperx[411].end 11554.683
transcript.whisperx[411].text 但是你在沒入車輛的時候啊 我有一些建議啊你要如何的 我們要如何的來避免懲罰到無辜的第三者例如這個車輛如果是租賃的車輛如果是他租來的車輛那我是租車公司 我車子你給我租了你給我吸毒 那他的車輛被沒入會不會有這種狀況再來 被偷竊的車輛
transcript.whisperx[412].start 11559.414
transcript.whisperx[412].end 11584.924
transcript.whisperx[412].text 民眾的車輛被偷竊了結果偷車的人吸毒開車再來來借車借車的時候也不知道他會吸毒再來第四個公司的車輛有時候是公司的營業員或公司的駕駛他給你吸毒這個曾經發生一件啦第一個在夜市擺攤的
transcript.whisperx[413].start 11586.838
transcript.whisperx[413].end 11614.689
transcript.whisperx[413].text 老先生他叫他兒子送貨他就靠一台小貨車在謀生結果他們走到西土結果車輛 檢方現在是扣押以後如果是末路的話那會不會造成所謂的善逸第三者無辜的第三者也連帶受處分再來就是維修的代步車這個是我接到一些汽車維修廠
transcript.whisperx[414].start 11616.584
transcript.whisperx[414].end 11643.547
transcript.whisperx[414].text 因為你如果客人車輛去維修他有時候會借你一部代步車那如果啦像這種代步車那開的人也跟你稀土所以我覺得我們在立法的時候有些狀況是不是也必須要作為我們的一個考量我們的行政法法其實我們行政法法的第22條它大概有類似的一種
transcript.whisperx[415].start 11644.775
transcript.whisperx[415].end 11671.789
transcript.whisperx[415].text 一種規範就是說你不屬於被處罰人的東西例如車輛不是他的那因為這個車主所有人有因為所有人的故意或重大過失那造成這個違法事情發生那這樣是可以沒路啦但是他有幾個要件第一個就是說所有人有故意或重大過失行政法基本上在法律上他也保持這樣的一種
transcript.whisperx[416].start 11673.682
transcript.whisperx[416].end 11696.268
transcript.whisperx[416].text 這種比較完整以避免去懲罰到無辜的第三人所以我們未來交通部的這樣的一個立法你現在有沒有考量到行政法法上對於這種所謂可能懲罰到無辜的第三者的這種考量 來
transcript.whisperx[417].start 11697.885
transcript.whisperx[417].end 11718.795
transcript.whisperx[417].text 檢次長是我想跟委員說明一下委員的見解非常正確所以我們在行政院版的這個修正草案我們應該是還沒在應該送到大院來的如果可以看得到的話我們在我們的修正草案的這個說明欄裡面就特別把剛才委員特別提到的就是有關
transcript.whisperx[418].start 11719.435
transcript.whisperx[418].end 11732.327
transcript.whisperx[418].text 行政法法相關的規定引述在這裡面而且說明到如果不是非出於故意或重大過失不予處罰甚至還舉例你這裡特別提到的租賃車租賃車將車輛租與成租人假設事前已善盡告知本處罰條例的義務成租人
transcript.whisperx[419].start 11738.673
transcript.whisperx[419].end 11753.465
transcript.whisperx[419].text 獨駕的話得於舉證免罰所以像這樣的東西我們有考慮到後續呢我們會再相關的處理細則等等把這樣的一個情形能夠更清楚的明示但是因為你現在是寫在你修法的說明欄所以我才會講到說
transcript.whisperx[420].start 11758.669
transcript.whisperx[420].end 11787.64
transcript.whisperx[420].text 因為行政法法就可以處理了所以不需要再特別寫了那後續我們會在我們的處理細則在實施的時候裡頭來把它明確的說明所以這點你希望交通部現在的立法上這個必須要考量進來是我們會考慮那本席所提的修法我也有把這種狀況給加進來但是我是明確的寫在法律條文這個我們可以到時候來看大家共同來討論我們可以
transcript.whisperx[421].start 11788.85
transcript.whisperx[421].end 11791.598
transcript.whisperx[421].text 另外 據測者據測者當然是
transcript.whisperx[422].start 11793.94
transcript.whisperx[422].end 11821.317
transcript.whisperx[422].text 絕對有問題因為現在這種毒品非常可怕它無色無味而且它吸食很方便現在用那種什麼電子菸就可以隨時隨地 邊開車邊吸食為什麼呢因為它在車輛裡面沒有其他人就最隱密的地方而且它無色無味它的半衰期只有2至3個小時
transcript.whisperx[423].start 11823.288
transcript.whisperx[423].end 11850.398
transcript.whisperx[423].text 所以嫌犯為什麼一定會跑因為他跑掉以後被你抓到他就要兩三個小時以後你抽他血也檢測不出來所以你就可以逃 叫體內的濃度就快速掉到偵測線以下所以就是你踩他的尿液或唾液快篩都是會造成胃陰性所以現在這種毒品就很可怕 基本上
transcript.whisperx[424].start 11851.786
transcript.whisperx[424].end 11877.518
transcript.whisperx[424].text 也造成我們法律很難去追溯但是它危險在於很多細菌者會開車因為車內是一個最好的空間所以它如果在開車的時候造成成癮它想吸食的時候很方便但是它藥效發作它可能在嗨起來它會有3到10秒那種昏迷類似昏迷那種狀態它根本沒辦法控制車輛
transcript.whisperx[425].start 11878.758
transcript.whisperx[425].end 11898.778
transcript.whisperx[425].text 這車輛等於完全失去控制 所以才被稱為好像是路上的移動炸彈一般所以政府必須要很嚴肅的來處理這個事情而且就它造勢的建樹 以及造成民眾無辜死傷這個書我再給你看一下
transcript.whisperx[426].start 11902.421
transcript.whisperx[426].end 11918.671
transcript.whisperx[426].text 你以為你看2024年我現在講的是有造成死傷的2024年90件去年就成長了兩倍到266件那今年一到三月就113件我看今年至少有500件等於90件266件500件
transcript.whisperx[427].start 11921.79
transcript.whisperx[427].end 11950.287
transcript.whisperx[427].text 那死亡人數24年有11個人 今年有19個人那受傷人數也是從85人到229人就24年跟25年來比所以希望交通部我想立委的意見都表達得很清楚這個大概我們應該盡速來大家一起來面對獨家對我們交通安全的一個威脅那最重要還是源頭的
transcript.whisperx[428].start 11951.465
transcript.whisperx[428].end 11966.631
transcript.whisperx[428].text 原則的處理行政院跟法務部這裡跟我們相關的司法單位應該要嚴格的以及要很嚴肅的來面對這種毒品滲透到台灣的這個問題好不好好謝謝市長謝謝主席謝謝委員謝謝李勛憲 張偉的發言謝謝市長
transcript.whisperx[429].start 11975.199
transcript.whisperx[429].end 12001.374
transcript.whisperx[429].text 好 今天登記質詢委員均已發言完畢我們做以下決定報告及詢問完畢委員游浩 陳素月 傅坤琪等委員所提書面質詢列入記錄並刊登公報委員質詢中要求提供相關書面資料或為其答覆部分請交通部及相關機關緊述與書面答覆針對本日會議討論事項並做以下決議道路交通管理處罰條例部分條文修正草案等14案均另定期繼續審查本日會議結束 散會