iVOD / 16989

Field Value
IVOD_ID 16989
IVOD_URL https://ivod.ly.gov.tw/Play/Full/1M/16989
日期 2025-10-29
會議資料.會議代碼 委員會-11-4-15-8
會議資料.會議代碼:str 第11屆第4會期內政委員會第8次全體委員會議
會議資料.屆 11
會議資料.會期 4
會議資料.會次 8
會議資料.種類 委員會
會議資料.委員會代碼[0] 15
會議資料.委員會代碼:str[0] 內政委員會
會議資料.標題 第11屆第4會期內政委員會第8次全體委員會議
影片種類 Full
開始時間 2025-10-29T08:36:16+08:00
結束時間 2025-10-29T12:28:00+08:00
影片長度 03:51:44
支援功能[0] ai-transcript
video_url https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/eeffa975d6a1e3ea021bb07685947ff682c5cdbe149175fa0aa126c40303dc271c0d8b5437ffe54e5ea18f28b6918d91.mp4/playlist.m3u8
會議時間 2025-10-29T09:00:00+08:00
會議名稱 立法院第11屆第4會期內政委員會第8次全體委員會議(事由:一、邀請內政部部長、海洋委員會主任委員、內政部警政署署長、內政部移民署署長、海洋委員會海巡署署長、農業部部長、財政部關務署署長,就「防堵非洲豬瘟邊境檢疫與查緝機制之檢討與精進作為」進行專題報告,並備質詢。 二、審查委員徐巧芯等16人擬具「海岸巡防法第十三條條文修正草案」案。 【法律案僅詢答】 【10月29日及30日兩天一次會】)
委員名稱 完整會議
委員發言時間 08:36:16 - 12:28:00
transcript.pyannote[0].speaker SPEAKER_34
transcript.pyannote[0].start 1518.83159375
transcript.pyannote[0].end 1522.00409375
transcript.pyannote[1].speaker SPEAKER_15
transcript.pyannote[1].start 1523.03346875
transcript.pyannote[1].end 1526.18909375
transcript.pyannote[2].speaker SPEAKER_34
transcript.pyannote[2].start 1527.62346875
transcript.pyannote[2].end 1532.46659375
transcript.pyannote[3].speaker SPEAKER_04
transcript.pyannote[3].start 1532.83784375
transcript.pyannote[3].end 1541.78159375
transcript.pyannote[4].speaker SPEAKER_04
transcript.pyannote[4].start 1542.10221875
transcript.pyannote[4].end 1547.56971875
transcript.pyannote[5].speaker SPEAKER_04
transcript.pyannote[5].start 1547.67096875
transcript.pyannote[5].end 1549.40909375
transcript.pyannote[6].speaker SPEAKER_04
transcript.pyannote[6].start 1549.78034375
transcript.pyannote[6].end 1555.56846875
transcript.pyannote[7].speaker SPEAKER_04
transcript.pyannote[7].start 1555.70346875
transcript.pyannote[7].end 1557.47534375
transcript.pyannote[8].speaker SPEAKER_04
transcript.pyannote[8].start 1557.81284375
transcript.pyannote[8].end 1559.63534375
transcript.pyannote[9].speaker SPEAKER_04
transcript.pyannote[9].start 1560.10784375
transcript.pyannote[9].end 1563.14534375
transcript.pyannote[10].speaker SPEAKER_04
transcript.pyannote[10].start 1563.38159375
transcript.pyannote[10].end 1573.11846875
transcript.pyannote[11].speaker SPEAKER_04
transcript.pyannote[11].start 1573.52346875
transcript.pyannote[11].end 1581.82596875
transcript.pyannote[12].speaker SPEAKER_04
transcript.pyannote[12].start 1582.06221875
transcript.pyannote[12].end 1590.92159375
transcript.pyannote[13].speaker SPEAKER_04
transcript.pyannote[13].start 1591.37721875
transcript.pyannote[13].end 1595.32596875
transcript.pyannote[14].speaker SPEAKER_04
transcript.pyannote[14].start 1595.57909375
transcript.pyannote[14].end 1604.45534375
transcript.pyannote[15].speaker SPEAKER_04
transcript.pyannote[15].start 1604.79284375
transcript.pyannote[15].end 1606.22721875
transcript.pyannote[16].speaker SPEAKER_04
transcript.pyannote[16].start 1606.73346875
transcript.pyannote[16].end 1617.41534375
transcript.pyannote[17].speaker SPEAKER_04
transcript.pyannote[17].start 1617.66846875
transcript.pyannote[17].end 1619.76096875
transcript.pyannote[18].speaker SPEAKER_04
transcript.pyannote[18].start 1619.86221875
transcript.pyannote[18].end 1623.10221875
transcript.pyannote[19].speaker SPEAKER_04
transcript.pyannote[19].start 1623.23721875
transcript.pyannote[19].end 1627.96221875
transcript.pyannote[20].speaker SPEAKER_04
transcript.pyannote[20].start 1627.97909375
transcript.pyannote[20].end 1632.82221875
transcript.pyannote[21].speaker SPEAKER_34
transcript.pyannote[21].start 1634.71221875
transcript.pyannote[21].end 1639.09971875
transcript.pyannote[22].speaker SPEAKER_34
transcript.pyannote[22].start 1640.71971875
transcript.pyannote[22].end 1645.27596875
transcript.pyannote[23].speaker SPEAKER_04
transcript.pyannote[23].start 1646.47409375
transcript.pyannote[23].end 1647.35159375
transcript.pyannote[24].speaker SPEAKER_04
transcript.pyannote[24].start 1647.94221875
transcript.pyannote[24].end 1663.39971875
transcript.pyannote[25].speaker SPEAKER_04
transcript.pyannote[25].start 1663.68659375
transcript.pyannote[25].end 1669.69409375
transcript.pyannote[26].speaker SPEAKER_34
transcript.pyannote[26].start 1675.75221875
transcript.pyannote[26].end 1685.50596875
transcript.pyannote[27].speaker SPEAKER_34
transcript.pyannote[27].start 1686.83909375
transcript.pyannote[27].end 1690.04534375
transcript.pyannote[28].speaker SPEAKER_34
transcript.pyannote[28].start 1694.02784375
transcript.pyannote[28].end 1695.22596875
transcript.pyannote[29].speaker SPEAKER_34
transcript.pyannote[29].start 1698.55034375
transcript.pyannote[29].end 1700.35596875
transcript.pyannote[30].speaker SPEAKER_34
transcript.pyannote[30].start 1702.22909375
transcript.pyannote[30].end 1703.66346875
transcript.pyannote[31].speaker SPEAKER_34
transcript.pyannote[31].start 1707.20721875
transcript.pyannote[31].end 1711.64534375
transcript.pyannote[32].speaker SPEAKER_34
transcript.pyannote[32].start 1714.19346875
transcript.pyannote[32].end 1716.50534375
transcript.pyannote[33].speaker SPEAKER_34
transcript.pyannote[33].start 1718.58096875
transcript.pyannote[33].end 1720.28534375
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 1718.73284375
transcript.pyannote[34].end 1718.95221875
transcript.pyannote[35].speaker SPEAKER_34
transcript.pyannote[35].start 1722.12471875
transcript.pyannote[35].end 1724.28471875
transcript.pyannote[36].speaker SPEAKER_34
transcript.pyannote[36].start 1726.34346875
transcript.pyannote[36].end 1730.89971875
transcript.pyannote[37].speaker SPEAKER_34
transcript.pyannote[37].start 1735.74284375
transcript.pyannote[37].end 1743.72471875
transcript.pyannote[38].speaker SPEAKER_34
transcript.pyannote[38].start 1747.70721875
transcript.pyannote[38].end 1748.53409375
transcript.pyannote[39].speaker SPEAKER_34
transcript.pyannote[39].start 1748.71971875
transcript.pyannote[39].end 1752.28034375
transcript.pyannote[40].speaker SPEAKER_34
transcript.pyannote[40].start 1752.93846875
transcript.pyannote[40].end 1753.09034375
transcript.pyannote[41].speaker SPEAKER_34
transcript.pyannote[41].start 1753.81596875
transcript.pyannote[41].end 1757.57909375
transcript.pyannote[42].speaker SPEAKER_34
transcript.pyannote[42].start 1764.78471875
transcript.pyannote[42].end 1770.08346875
transcript.pyannote[43].speaker SPEAKER_06
transcript.pyannote[43].start 1779.55034375
transcript.pyannote[43].end 1780.84971875
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 1779.75284375
transcript.pyannote[44].end 1780.32659375
transcript.pyannote[45].speaker SPEAKER_06
transcript.pyannote[45].start 1781.05221875
transcript.pyannote[45].end 2007.37971875
transcript.pyannote[46].speaker SPEAKER_34
transcript.pyannote[46].start 2008.96596875
transcript.pyannote[46].end 2024.84534375
transcript.pyannote[47].speaker SPEAKER_18
transcript.pyannote[47].start 2036.48909375
transcript.pyannote[47].end 2039.91471875
transcript.pyannote[48].speaker SPEAKER_18
transcript.pyannote[48].start 2040.21846875
transcript.pyannote[48].end 2046.56346875
transcript.pyannote[49].speaker SPEAKER_18
transcript.pyannote[49].start 2046.86721875
transcript.pyannote[49].end 2053.09409375
transcript.pyannote[50].speaker SPEAKER_18
transcript.pyannote[50].start 2053.34721875
transcript.pyannote[50].end 2097.40784375
transcript.pyannote[51].speaker SPEAKER_18
transcript.pyannote[51].start 2097.74534375
transcript.pyannote[51].end 2117.86034375
transcript.pyannote[52].speaker SPEAKER_18
transcript.pyannote[52].start 2118.13034375
transcript.pyannote[52].end 2147.61096875
transcript.pyannote[53].speaker SPEAKER_18
transcript.pyannote[53].start 2148.08346875
transcript.pyannote[53].end 2188.76909375
transcript.pyannote[54].speaker SPEAKER_18
transcript.pyannote[54].start 2189.07284375
transcript.pyannote[54].end 2191.50284375
transcript.pyannote[55].speaker SPEAKER_18
transcript.pyannote[55].start 2191.80659375
transcript.pyannote[55].end 2195.80596875
transcript.pyannote[56].speaker SPEAKER_18
transcript.pyannote[56].start 2195.99159375
transcript.pyannote[56].end 2198.99534375
transcript.pyannote[57].speaker SPEAKER_18
transcript.pyannote[57].start 2199.24846875
transcript.pyannote[57].end 2202.96096875
transcript.pyannote[58].speaker SPEAKER_18
transcript.pyannote[58].start 2203.45034375
transcript.pyannote[58].end 2214.18284375
transcript.pyannote[59].speaker SPEAKER_18
transcript.pyannote[59].start 2214.52034375
transcript.pyannote[59].end 2224.30784375
transcript.pyannote[60].speaker SPEAKER_18
transcript.pyannote[60].start 2224.59471875
transcript.pyannote[60].end 2232.96471875
transcript.pyannote[61].speaker SPEAKER_18
transcript.pyannote[61].start 2233.13346875
transcript.pyannote[61].end 2246.80221875
transcript.pyannote[62].speaker SPEAKER_18
transcript.pyannote[62].start 2247.08909375
transcript.pyannote[62].end 2249.60346875
transcript.pyannote[63].speaker SPEAKER_18
transcript.pyannote[63].start 2250.04221875
transcript.pyannote[63].end 2256.53909375
transcript.pyannote[64].speaker SPEAKER_18
transcript.pyannote[64].start 2256.85971875
transcript.pyannote[64].end 2270.81534375
transcript.pyannote[65].speaker SPEAKER_18
transcript.pyannote[65].start 2271.20346875
transcript.pyannote[65].end 2274.03846875
transcript.pyannote[66].speaker SPEAKER_18
transcript.pyannote[66].start 2274.10596875
transcript.pyannote[66].end 2290.28909375
transcript.pyannote[67].speaker SPEAKER_34
transcript.pyannote[67].start 2291.43659375
transcript.pyannote[67].end 2294.72721875
transcript.pyannote[68].speaker SPEAKER_34
transcript.pyannote[68].start 2294.96346875
transcript.pyannote[68].end 2301.02159375
transcript.pyannote[69].speaker SPEAKER_34
transcript.pyannote[69].start 2305.18971875
transcript.pyannote[69].end 2311.88909375
transcript.pyannote[70].speaker SPEAKER_29
transcript.pyannote[70].start 2305.22346875
transcript.pyannote[70].end 2306.26971875
transcript.pyannote[71].speaker SPEAKER_24
transcript.pyannote[71].start 2315.97284375
transcript.pyannote[71].end 2319.02721875
transcript.pyannote[72].speaker SPEAKER_24
transcript.pyannote[72].start 2319.61784375
transcript.pyannote[72].end 2326.13159375
transcript.pyannote[73].speaker SPEAKER_24
transcript.pyannote[73].start 2326.38471875
transcript.pyannote[73].end 2347.54596875
transcript.pyannote[74].speaker SPEAKER_24
transcript.pyannote[74].start 2347.69784375
transcript.pyannote[74].end 2349.16596875
transcript.pyannote[75].speaker SPEAKER_24
transcript.pyannote[75].start 2349.67221875
transcript.pyannote[75].end 2352.27096875
transcript.pyannote[76].speaker SPEAKER_24
transcript.pyannote[76].start 2352.79409375
transcript.pyannote[76].end 2356.65846875
transcript.pyannote[77].speaker SPEAKER_24
transcript.pyannote[77].start 2356.77659375
transcript.pyannote[77].end 2358.31221875
transcript.pyannote[78].speaker SPEAKER_24
transcript.pyannote[78].start 2358.75096875
transcript.pyannote[78].end 2366.42909375
transcript.pyannote[79].speaker SPEAKER_24
transcript.pyannote[79].start 2366.93534375
transcript.pyannote[79].end 2373.06096875
transcript.pyannote[80].speaker SPEAKER_24
transcript.pyannote[80].start 2373.73596875
transcript.pyannote[80].end 2374.15784375
transcript.pyannote[81].speaker SPEAKER_24
transcript.pyannote[81].start 2375.10284375
transcript.pyannote[81].end 2377.97159375
transcript.pyannote[82].speaker SPEAKER_24
transcript.pyannote[82].start 2378.34284375
transcript.pyannote[82].end 2383.65846875
transcript.pyannote[83].speaker SPEAKER_24
transcript.pyannote[83].start 2384.31659375
transcript.pyannote[83].end 2384.85659375
transcript.pyannote[84].speaker SPEAKER_24
transcript.pyannote[84].start 2385.54846875
transcript.pyannote[84].end 2393.22659375
transcript.pyannote[85].speaker SPEAKER_24
transcript.pyannote[85].start 2393.24346875
transcript.pyannote[85].end 2394.64409375
transcript.pyannote[86].speaker SPEAKER_24
transcript.pyannote[86].start 2395.23471875
transcript.pyannote[86].end 2398.42409375
transcript.pyannote[87].speaker SPEAKER_24
transcript.pyannote[87].start 2398.94721875
transcript.pyannote[87].end 2401.39409375
transcript.pyannote[88].speaker SPEAKER_24
transcript.pyannote[88].start 2401.79909375
transcript.pyannote[88].end 2413.66221875
transcript.pyannote[89].speaker SPEAKER_24
transcript.pyannote[89].start 2414.59034375
transcript.pyannote[89].end 2417.05409375
transcript.pyannote[90].speaker SPEAKER_24
transcript.pyannote[90].start 2417.52659375
transcript.pyannote[90].end 2420.78346875
transcript.pyannote[91].speaker SPEAKER_24
transcript.pyannote[91].start 2421.74534375
transcript.pyannote[91].end 2423.02784375
transcript.pyannote[92].speaker SPEAKER_24
transcript.pyannote[92].start 2423.44971875
transcript.pyannote[92].end 2424.93471875
transcript.pyannote[93].speaker SPEAKER_24
transcript.pyannote[93].start 2425.25534375
transcript.pyannote[93].end 2427.01034375
transcript.pyannote[94].speaker SPEAKER_24
transcript.pyannote[94].start 2427.26346875
transcript.pyannote[94].end 2428.14096875
transcript.pyannote[95].speaker SPEAKER_24
transcript.pyannote[95].start 2428.61346875
transcript.pyannote[95].end 2429.89596875
transcript.pyannote[96].speaker SPEAKER_24
transcript.pyannote[96].start 2430.53721875
transcript.pyannote[96].end 2430.90846875
transcript.pyannote[97].speaker SPEAKER_24
transcript.pyannote[97].start 2431.58346875
transcript.pyannote[97].end 2432.22471875
transcript.pyannote[98].speaker SPEAKER_24
transcript.pyannote[98].start 2432.64659375
transcript.pyannote[98].end 2434.57034375
transcript.pyannote[99].speaker SPEAKER_24
transcript.pyannote[99].start 2434.85721875
transcript.pyannote[99].end 2435.43096875
transcript.pyannote[100].speaker SPEAKER_24
transcript.pyannote[100].start 2435.54909375
transcript.pyannote[100].end 2439.05909375
transcript.pyannote[101].speaker SPEAKER_24
transcript.pyannote[101].start 2439.32909375
transcript.pyannote[101].end 2456.76096875
transcript.pyannote[102].speaker SPEAKER_24
transcript.pyannote[102].start 2457.33471875
transcript.pyannote[102].end 2460.03471875
transcript.pyannote[103].speaker SPEAKER_24
transcript.pyannote[103].start 2460.47346875
transcript.pyannote[103].end 2462.53221875
transcript.pyannote[104].speaker SPEAKER_24
transcript.pyannote[104].start 2463.10596875
transcript.pyannote[104].end 2466.22784375
transcript.pyannote[105].speaker SPEAKER_24
transcript.pyannote[105].start 2466.58221875
transcript.pyannote[105].end 2467.88159375
transcript.pyannote[106].speaker SPEAKER_24
transcript.pyannote[106].start 2468.42159375
transcript.pyannote[106].end 2473.41659375
transcript.pyannote[107].speaker SPEAKER_24
transcript.pyannote[107].start 2473.88909375
transcript.pyannote[107].end 2479.91346875
transcript.pyannote[108].speaker SPEAKER_24
transcript.pyannote[108].start 2480.09909375
transcript.pyannote[108].end 2486.73096875
transcript.pyannote[109].speaker SPEAKER_24
transcript.pyannote[109].start 2487.23721875
transcript.pyannote[109].end 2491.03409375
transcript.pyannote[110].speaker SPEAKER_24
transcript.pyannote[110].start 2491.13534375
transcript.pyannote[110].end 2491.62471875
transcript.pyannote[111].speaker SPEAKER_24
transcript.pyannote[111].start 2492.58659375
transcript.pyannote[111].end 2497.02471875
transcript.pyannote[112].speaker SPEAKER_24
transcript.pyannote[112].start 2497.51409375
transcript.pyannote[112].end 2499.21846875
transcript.pyannote[113].speaker SPEAKER_24
transcript.pyannote[113].start 2499.74159375
transcript.pyannote[113].end 2501.93534375
transcript.pyannote[114].speaker SPEAKER_24
transcript.pyannote[114].start 2502.22221875
transcript.pyannote[114].end 2513.00534375
transcript.pyannote[115].speaker SPEAKER_24
transcript.pyannote[115].start 2513.52846875
transcript.pyannote[115].end 2515.08096875
transcript.pyannote[116].speaker SPEAKER_24
transcript.pyannote[116].start 2515.33409375
transcript.pyannote[116].end 2515.87409375
transcript.pyannote[117].speaker SPEAKER_24
transcript.pyannote[117].start 2516.12721875
transcript.pyannote[117].end 2518.47284375
transcript.pyannote[118].speaker SPEAKER_24
transcript.pyannote[118].start 2518.77659375
transcript.pyannote[118].end 2519.33346875
transcript.pyannote[119].speaker SPEAKER_24
transcript.pyannote[119].start 2519.63721875
transcript.pyannote[119].end 2522.70846875
transcript.pyannote[120].speaker SPEAKER_24
transcript.pyannote[120].start 2523.11346875
transcript.pyannote[120].end 2524.68284375
transcript.pyannote[121].speaker SPEAKER_24
transcript.pyannote[121].start 2525.10471875
transcript.pyannote[121].end 2528.98596875
transcript.pyannote[122].speaker SPEAKER_24
transcript.pyannote[122].start 2529.37409375
transcript.pyannote[122].end 2532.36096875
transcript.pyannote[123].speaker SPEAKER_24
transcript.pyannote[123].start 2532.63096875
transcript.pyannote[123].end 2539.97159375
transcript.pyannote[124].speaker SPEAKER_24
transcript.pyannote[124].start 2540.46096875
transcript.pyannote[124].end 2540.98409375
transcript.pyannote[125].speaker SPEAKER_24
transcript.pyannote[125].start 2541.20346875
transcript.pyannote[125].end 2545.72596875
transcript.pyannote[126].speaker SPEAKER_24
transcript.pyannote[126].start 2546.21534375
transcript.pyannote[126].end 2560.57596875
transcript.pyannote[127].speaker SPEAKER_24
transcript.pyannote[127].start 2561.09909375
transcript.pyannote[127].end 2563.10721875
transcript.pyannote[128].speaker SPEAKER_24
transcript.pyannote[128].start 2563.57971875
transcript.pyannote[128].end 2566.90409375
transcript.pyannote[129].speaker SPEAKER_24
transcript.pyannote[129].start 2567.46096875
transcript.pyannote[129].end 2569.18221875
transcript.pyannote[130].speaker SPEAKER_24
transcript.pyannote[130].start 2569.72221875
transcript.pyannote[130].end 2573.02971875
transcript.pyannote[131].speaker SPEAKER_24
transcript.pyannote[131].start 2573.33346875
transcript.pyannote[131].end 2586.64784375
transcript.pyannote[132].speaker SPEAKER_24
transcript.pyannote[132].start 2587.33971875
transcript.pyannote[132].end 2589.06096875
transcript.pyannote[133].speaker SPEAKER_24
transcript.pyannote[133].start 2589.33096875
transcript.pyannote[133].end 2591.06909375
transcript.pyannote[134].speaker SPEAKER_24
transcript.pyannote[134].start 2591.59221875
transcript.pyannote[134].end 2592.01409375
transcript.pyannote[135].speaker SPEAKER_24
transcript.pyannote[135].start 2592.48659375
transcript.pyannote[135].end 2593.04346875
transcript.pyannote[136].speaker SPEAKER_24
transcript.pyannote[136].start 2593.46534375
transcript.pyannote[136].end 2595.05159375
transcript.pyannote[137].speaker SPEAKER_24
transcript.pyannote[137].start 2595.69284375
transcript.pyannote[137].end 2599.81034375
transcript.pyannote[138].speaker SPEAKER_24
transcript.pyannote[138].start 2600.82284375
transcript.pyannote[138].end 2602.27409375
transcript.pyannote[139].speaker SPEAKER_24
transcript.pyannote[139].start 2602.67909375
transcript.pyannote[139].end 2605.21034375
transcript.pyannote[140].speaker SPEAKER_24
transcript.pyannote[140].start 2605.58159375
transcript.pyannote[140].end 2610.59346875
transcript.pyannote[141].speaker SPEAKER_24
transcript.pyannote[141].start 2610.96471875
transcript.pyannote[141].end 2614.33971875
transcript.pyannote[142].speaker SPEAKER_24
transcript.pyannote[142].start 2614.39034375
transcript.pyannote[142].end 2617.34346875
transcript.pyannote[143].speaker SPEAKER_24
transcript.pyannote[143].start 2617.49534375
transcript.pyannote[143].end 2618.74409375
transcript.pyannote[144].speaker SPEAKER_24
transcript.pyannote[144].start 2619.14909375
transcript.pyannote[144].end 2624.24534375
transcript.pyannote[145].speaker SPEAKER_24
transcript.pyannote[145].start 2624.43096875
transcript.pyannote[145].end 2635.02846875
transcript.pyannote[146].speaker SPEAKER_24
transcript.pyannote[146].start 2635.18034375
transcript.pyannote[146].end 2636.90159375
transcript.pyannote[147].speaker SPEAKER_24
transcript.pyannote[147].start 2637.34034375
transcript.pyannote[147].end 2641.40721875
transcript.pyannote[148].speaker SPEAKER_24
transcript.pyannote[148].start 2641.76159375
transcript.pyannote[148].end 2645.60909375
transcript.pyannote[149].speaker SPEAKER_24
transcript.pyannote[149].start 2645.87909375
transcript.pyannote[149].end 2646.94221875
transcript.pyannote[150].speaker SPEAKER_24
transcript.pyannote[150].start 2647.16159375
transcript.pyannote[150].end 2651.34659375
transcript.pyannote[151].speaker SPEAKER_24
transcript.pyannote[151].start 2651.49846875
transcript.pyannote[151].end 2657.75909375
transcript.pyannote[152].speaker SPEAKER_24
transcript.pyannote[152].start 2658.29909375
transcript.pyannote[152].end 2661.10034375
transcript.pyannote[153].speaker SPEAKER_24
transcript.pyannote[153].start 2661.35346875
transcript.pyannote[153].end 2665.50471875
transcript.pyannote[154].speaker SPEAKER_24
transcript.pyannote[154].start 2666.50034375
transcript.pyannote[154].end 2667.20909375
transcript.pyannote[155].speaker SPEAKER_24
transcript.pyannote[155].start 2667.69846875
transcript.pyannote[155].end 2669.21721875
transcript.pyannote[156].speaker SPEAKER_24
transcript.pyannote[156].start 2669.74034375
transcript.pyannote[156].end 2670.87096875
transcript.pyannote[157].speaker SPEAKER_24
transcript.pyannote[157].start 2671.00596875
transcript.pyannote[157].end 2673.11534375
transcript.pyannote[158].speaker SPEAKER_24
transcript.pyannote[158].start 2673.48659375
transcript.pyannote[158].end 2674.98846875
transcript.pyannote[159].speaker SPEAKER_24
transcript.pyannote[159].start 2675.19096875
transcript.pyannote[159].end 2683.15596875
transcript.pyannote[160].speaker SPEAKER_34
transcript.pyannote[160].start 2684.10096875
transcript.pyannote[160].end 2685.50159375
transcript.pyannote[161].speaker SPEAKER_34
transcript.pyannote[161].start 2687.12159375
transcript.pyannote[161].end 2691.79596875
transcript.pyannote[162].speaker SPEAKER_34
transcript.pyannote[162].start 2691.88034375
transcript.pyannote[162].end 2695.64346875
transcript.pyannote[163].speaker SPEAKER_34
transcript.pyannote[163].start 2696.50409375
transcript.pyannote[163].end 2703.99659375
transcript.pyannote[164].speaker SPEAKER_34
transcript.pyannote[164].start 2704.36784375
transcript.pyannote[164].end 2707.72596875
transcript.pyannote[165].speaker SPEAKER_34
transcript.pyannote[165].start 2708.29971875
transcript.pyannote[165].end 2715.31971875
transcript.pyannote[166].speaker SPEAKER_34
transcript.pyannote[166].start 2716.48409375
transcript.pyannote[166].end 2721.19221875
transcript.pyannote[167].speaker SPEAKER_16
transcript.pyannote[167].start 2731.73909375
transcript.pyannote[167].end 2733.15659375
transcript.pyannote[168].speaker SPEAKER_16
transcript.pyannote[168].start 2733.61221875
transcript.pyannote[168].end 2737.66221875
transcript.pyannote[169].speaker SPEAKER_17
transcript.pyannote[169].start 2745.05346875
transcript.pyannote[169].end 2745.84659375
transcript.pyannote[170].speaker SPEAKER_17
transcript.pyannote[170].start 2745.96471875
transcript.pyannote[170].end 2749.44096875
transcript.pyannote[171].speaker SPEAKER_17
transcript.pyannote[171].start 2749.55909375
transcript.pyannote[171].end 2751.93846875
transcript.pyannote[172].speaker SPEAKER_17
transcript.pyannote[172].start 2751.97221875
transcript.pyannote[172].end 2769.04971875
transcript.pyannote[173].speaker SPEAKER_17
transcript.pyannote[173].start 2769.64034375
transcript.pyannote[173].end 2772.08721875
transcript.pyannote[174].speaker SPEAKER_17
transcript.pyannote[174].start 2772.54284375
transcript.pyannote[174].end 2780.05221875
transcript.pyannote[175].speaker SPEAKER_17
transcript.pyannote[175].start 2780.18721875
transcript.pyannote[175].end 2828.21346875
transcript.pyannote[176].speaker SPEAKER_13
transcript.pyannote[176].start 2828.95596875
transcript.pyannote[176].end 2829.27659375
transcript.pyannote[177].speaker SPEAKER_17
transcript.pyannote[177].start 2829.39471875
transcript.pyannote[177].end 2864.12346875
transcript.pyannote[178].speaker SPEAKER_17
transcript.pyannote[178].start 2864.54534375
transcript.pyannote[178].end 2891.86596875
transcript.pyannote[179].speaker SPEAKER_14
transcript.pyannote[179].start 2885.99346875
transcript.pyannote[179].end 2887.00596875
transcript.pyannote[180].speaker SPEAKER_14
transcript.pyannote[180].start 2892.00096875
transcript.pyannote[180].end 2893.87409375
transcript.pyannote[181].speaker SPEAKER_17
transcript.pyannote[181].start 2893.08096875
transcript.pyannote[181].end 2894.43096875
transcript.pyannote[182].speaker SPEAKER_14
transcript.pyannote[182].start 2894.43096875
transcript.pyannote[182].end 2896.00034375
transcript.pyannote[183].speaker SPEAKER_17
transcript.pyannote[183].start 2895.40971875
transcript.pyannote[183].end 2899.42596875
transcript.pyannote[184].speaker SPEAKER_17
transcript.pyannote[184].start 2899.67909375
transcript.pyannote[184].end 2900.43846875
transcript.pyannote[185].speaker SPEAKER_15
transcript.pyannote[185].start 2899.81409375
transcript.pyannote[185].end 2908.62284375
transcript.pyannote[186].speaker SPEAKER_17
transcript.pyannote[186].start 2908.52159375
transcript.pyannote[186].end 2918.59596875
transcript.pyannote[187].speaker SPEAKER_15
transcript.pyannote[187].start 2908.82534375
transcript.pyannote[187].end 2909.51721875
transcript.pyannote[188].speaker SPEAKER_17
transcript.pyannote[188].start 2919.42284375
transcript.pyannote[188].end 2922.93284375
transcript.pyannote[189].speaker SPEAKER_15
transcript.pyannote[189].start 2922.30846875
transcript.pyannote[189].end 2923.16909375
transcript.pyannote[190].speaker SPEAKER_17
transcript.pyannote[190].start 2923.16909375
transcript.pyannote[190].end 2926.94909375
transcript.pyannote[191].speaker SPEAKER_15
transcript.pyannote[191].start 2923.21971875
transcript.pyannote[191].end 2924.67096875
transcript.pyannote[192].speaker SPEAKER_17
transcript.pyannote[192].start 2927.32034375
transcript.pyannote[192].end 2927.87721875
transcript.pyannote[193].speaker SPEAKER_17
transcript.pyannote[193].start 2928.56909375
transcript.pyannote[193].end 2966.43659375
transcript.pyannote[194].speaker SPEAKER_13
transcript.pyannote[194].start 2928.75471875
transcript.pyannote[194].end 2928.78846875
transcript.pyannote[195].speaker SPEAKER_15
transcript.pyannote[195].start 2928.78846875
transcript.pyannote[195].end 2929.09221875
transcript.pyannote[196].speaker SPEAKER_13
transcript.pyannote[196].start 2929.09221875
transcript.pyannote[196].end 2929.29471875
transcript.pyannote[197].speaker SPEAKER_14
transcript.pyannote[197].start 2929.29471875
transcript.pyannote[197].end 2929.31159375
transcript.pyannote[198].speaker SPEAKER_17
transcript.pyannote[198].start 2966.63909375
transcript.pyannote[198].end 2969.22096875
transcript.pyannote[199].speaker SPEAKER_17
transcript.pyannote[199].start 2969.60909375
transcript.pyannote[199].end 2970.16596875
transcript.pyannote[200].speaker SPEAKER_17
transcript.pyannote[200].start 2970.40221875
transcript.pyannote[200].end 2973.72659375
transcript.pyannote[201].speaker SPEAKER_15
transcript.pyannote[201].start 2972.98409375
transcript.pyannote[201].end 2980.03784375
transcript.pyannote[202].speaker SPEAKER_17
transcript.pyannote[202].start 2977.23659375
transcript.pyannote[202].end 2977.30409375
transcript.pyannote[203].speaker SPEAKER_17
transcript.pyannote[203].start 2977.32096875
transcript.pyannote[203].end 2977.37159375
transcript.pyannote[204].speaker SPEAKER_17
transcript.pyannote[204].start 2977.38846875
transcript.pyannote[204].end 2977.48971875
transcript.pyannote[205].speaker SPEAKER_17
transcript.pyannote[205].start 2979.78471875
transcript.pyannote[205].end 2985.99471875
transcript.pyannote[206].speaker SPEAKER_15
transcript.pyannote[206].start 2980.39221875
transcript.pyannote[206].end 2980.62846875
transcript.pyannote[207].speaker SPEAKER_15
transcript.pyannote[207].start 2985.99471875
transcript.pyannote[207].end 2999.84909375
transcript.pyannote[208].speaker SPEAKER_13
transcript.pyannote[208].start 2991.25971875
transcript.pyannote[208].end 2991.27659375
transcript.pyannote[209].speaker SPEAKER_17
transcript.pyannote[209].start 2991.27659375
transcript.pyannote[209].end 2992.69409375
transcript.pyannote[210].speaker SPEAKER_17
transcript.pyannote[210].start 2994.51659375
transcript.pyannote[210].end 2996.96346875
transcript.pyannote[211].speaker SPEAKER_17
transcript.pyannote[211].start 2998.53284375
transcript.pyannote[211].end 2998.65096875
transcript.pyannote[212].speaker SPEAKER_15
transcript.pyannote[212].start 3000.03471875
transcript.pyannote[212].end 3001.80659375
transcript.pyannote[213].speaker SPEAKER_17
transcript.pyannote[213].start 3000.45659375
transcript.pyannote[213].end 3008.91096875
transcript.pyannote[214].speaker SPEAKER_17
transcript.pyannote[214].start 3009.63659375
transcript.pyannote[214].end 3013.02846875
transcript.pyannote[215].speaker SPEAKER_17
transcript.pyannote[215].start 3015.17159375
transcript.pyannote[215].end 3028.14846875
transcript.pyannote[216].speaker SPEAKER_15
transcript.pyannote[216].start 3015.22221875
transcript.pyannote[216].end 3023.05221875
transcript.pyannote[217].speaker SPEAKER_15
transcript.pyannote[217].start 3023.33909375
transcript.pyannote[217].end 3024.95909375
transcript.pyannote[218].speaker SPEAKER_15
transcript.pyannote[218].start 3025.39784375
transcript.pyannote[218].end 3034.27409375
transcript.pyannote[219].speaker SPEAKER_17
transcript.pyannote[219].start 3028.21596875
transcript.pyannote[219].end 3028.75596875
transcript.pyannote[220].speaker SPEAKER_17
transcript.pyannote[220].start 3032.62034375
transcript.pyannote[220].end 3037.09221875
transcript.pyannote[221].speaker SPEAKER_17
transcript.pyannote[221].start 3037.39596875
transcript.pyannote[221].end 3039.53909375
transcript.pyannote[222].speaker SPEAKER_15
transcript.pyannote[222].start 3037.49721875
transcript.pyannote[222].end 3038.62784375
transcript.pyannote[223].speaker SPEAKER_15
transcript.pyannote[223].start 3040.23096875
transcript.pyannote[223].end 3046.89659375
transcript.pyannote[224].speaker SPEAKER_17
transcript.pyannote[224].start 3044.24721875
transcript.pyannote[224].end 3062.97846875
transcript.pyannote[225].speaker SPEAKER_15
transcript.pyannote[225].start 3062.03346875
transcript.pyannote[225].end 3062.43846875
transcript.pyannote[226].speaker SPEAKER_15
transcript.pyannote[226].start 3062.97846875
transcript.pyannote[226].end 3063.95721875
transcript.pyannote[227].speaker SPEAKER_17
transcript.pyannote[227].start 3063.95721875
transcript.pyannote[227].end 3064.68284375
transcript.pyannote[228].speaker SPEAKER_15
transcript.pyannote[228].start 3063.99096875
transcript.pyannote[228].end 3075.09471875
transcript.pyannote[229].speaker SPEAKER_17
transcript.pyannote[229].start 3067.55159375
transcript.pyannote[229].end 3069.05346875
transcript.pyannote[230].speaker SPEAKER_17
transcript.pyannote[230].start 3074.89221875
transcript.pyannote[230].end 3076.86659375
transcript.pyannote[231].speaker SPEAKER_15
transcript.pyannote[231].start 3076.91721875
transcript.pyannote[231].end 3078.23346875
transcript.pyannote[232].speaker SPEAKER_15
transcript.pyannote[232].start 3078.30096875
transcript.pyannote[232].end 3085.03409375
transcript.pyannote[233].speaker SPEAKER_17
transcript.pyannote[233].start 3078.43596875
transcript.pyannote[233].end 3080.34284375
transcript.pyannote[234].speaker SPEAKER_15
transcript.pyannote[234].start 3085.30409375
transcript.pyannote[234].end 3086.45159375
transcript.pyannote[235].speaker SPEAKER_15
transcript.pyannote[235].start 3086.95784375
transcript.pyannote[235].end 3088.54409375
transcript.pyannote[236].speaker SPEAKER_17
transcript.pyannote[236].start 3087.04221875
transcript.pyannote[236].end 3087.53159375
transcript.pyannote[237].speaker SPEAKER_17
transcript.pyannote[237].start 3088.59471875
transcript.pyannote[237].end 3090.73784375
transcript.pyannote[238].speaker SPEAKER_17
transcript.pyannote[238].start 3091.54784375
transcript.pyannote[238].end 3096.72846875
transcript.pyannote[239].speaker SPEAKER_13
transcript.pyannote[239].start 3096.66096875
transcript.pyannote[239].end 3097.75784375
transcript.pyannote[240].speaker SPEAKER_17
transcript.pyannote[240].start 3096.82971875
transcript.pyannote[240].end 3099.12471875
transcript.pyannote[241].speaker SPEAKER_13
transcript.pyannote[241].start 3098.70284375
transcript.pyannote[241].end 3099.41159375
transcript.pyannote[242].speaker SPEAKER_17
transcript.pyannote[242].start 3099.25971875
transcript.pyannote[242].end 3120.79221875
transcript.pyannote[243].speaker SPEAKER_17
transcript.pyannote[243].start 3121.09596875
transcript.pyannote[243].end 3141.90284375
transcript.pyannote[244].speaker SPEAKER_17
transcript.pyannote[244].start 3142.35846875
transcript.pyannote[244].end 3150.67784375
transcript.pyannote[245].speaker SPEAKER_15
transcript.pyannote[245].start 3146.23971875
transcript.pyannote[245].end 3146.50971875
transcript.pyannote[246].speaker SPEAKER_15
transcript.pyannote[246].start 3148.58534375
transcript.pyannote[246].end 3152.61846875
transcript.pyannote[247].speaker SPEAKER_17
transcript.pyannote[247].start 3151.25159375
transcript.pyannote[247].end 3152.56784375
transcript.pyannote[248].speaker SPEAKER_15
transcript.pyannote[248].start 3152.97284375
transcript.pyannote[248].end 3160.02659375
transcript.pyannote[249].speaker SPEAKER_00
transcript.pyannote[249].start 3157.51221875
transcript.pyannote[249].end 3157.52909375
transcript.pyannote[250].speaker SPEAKER_29
transcript.pyannote[250].start 3157.52909375
transcript.pyannote[250].end 3159.82409375
transcript.pyannote[251].speaker SPEAKER_00
transcript.pyannote[251].start 3159.82409375
transcript.pyannote[251].end 3159.84096875
transcript.pyannote[252].speaker SPEAKER_15
transcript.pyannote[252].start 3160.26284375
transcript.pyannote[252].end 3162.15284375
transcript.pyannote[253].speaker SPEAKER_15
transcript.pyannote[253].start 3163.55346875
transcript.pyannote[253].end 3164.88659375
transcript.pyannote[254].speaker SPEAKER_15
transcript.pyannote[254].start 3165.83159375
transcript.pyannote[254].end 3166.81034375
transcript.pyannote[255].speaker SPEAKER_15
transcript.pyannote[255].start 3168.14346875
transcript.pyannote[255].end 3175.56846875
transcript.pyannote[256].speaker SPEAKER_17
transcript.pyannote[256].start 3168.16034375
transcript.pyannote[256].end 3169.67909375
transcript.pyannote[257].speaker SPEAKER_08
transcript.pyannote[257].start 3169.67909375
transcript.pyannote[257].end 3169.88159375
transcript.pyannote[258].speaker SPEAKER_15
transcript.pyannote[258].start 3175.97346875
transcript.pyannote[258].end 3181.03596875
transcript.pyannote[259].speaker SPEAKER_17
transcript.pyannote[259].start 3181.03596875
transcript.pyannote[259].end 3182.65596875
transcript.pyannote[260].speaker SPEAKER_15
transcript.pyannote[260].start 3182.65596875
transcript.pyannote[260].end 3183.41534375
transcript.pyannote[261].speaker SPEAKER_17
transcript.pyannote[261].start 3182.67284375
transcript.pyannote[261].end 3183.01034375
transcript.pyannote[262].speaker SPEAKER_17
transcript.pyannote[262].start 3184.03971875
transcript.pyannote[262].end 3186.14909375
transcript.pyannote[263].speaker SPEAKER_15
transcript.pyannote[263].start 3186.25034375
transcript.pyannote[263].end 3186.60471875
transcript.pyannote[264].speaker SPEAKER_17
transcript.pyannote[264].start 3186.60471875
transcript.pyannote[264].end 3189.77721875
transcript.pyannote[265].speaker SPEAKER_15
transcript.pyannote[265].start 3189.77721875
transcript.pyannote[265].end 3190.19909375
transcript.pyannote[266].speaker SPEAKER_17
transcript.pyannote[266].start 3190.23284375
transcript.pyannote[266].end 3192.03846875
transcript.pyannote[267].speaker SPEAKER_15
transcript.pyannote[267].start 3192.10596875
transcript.pyannote[267].end 3192.51096875
transcript.pyannote[268].speaker SPEAKER_15
transcript.pyannote[268].start 3192.79784375
transcript.pyannote[268].end 3197.38784375
transcript.pyannote[269].speaker SPEAKER_15
transcript.pyannote[269].start 3197.50596875
transcript.pyannote[269].end 3207.07409375
transcript.pyannote[270].speaker SPEAKER_17
transcript.pyannote[270].start 3204.05346875
transcript.pyannote[270].end 3209.04846875
transcript.pyannote[271].speaker SPEAKER_15
transcript.pyannote[271].start 3208.76159375
transcript.pyannote[271].end 3209.58846875
transcript.pyannote[272].speaker SPEAKER_17
transcript.pyannote[272].start 3210.01034375
transcript.pyannote[272].end 3213.16596875
transcript.pyannote[273].speaker SPEAKER_15
transcript.pyannote[273].start 3212.49096875
transcript.pyannote[273].end 3213.09846875
transcript.pyannote[274].speaker SPEAKER_15
transcript.pyannote[274].start 3213.68909375
transcript.pyannote[274].end 3213.72284375
transcript.pyannote[275].speaker SPEAKER_17
transcript.pyannote[275].start 3213.72284375
transcript.pyannote[275].end 3213.73971875
transcript.pyannote[276].speaker SPEAKER_15
transcript.pyannote[276].start 3213.73971875
transcript.pyannote[276].end 3213.79034375
transcript.pyannote[277].speaker SPEAKER_17
transcript.pyannote[277].start 3213.79034375
transcript.pyannote[277].end 3221.38409375
transcript.pyannote[278].speaker SPEAKER_15
transcript.pyannote[278].start 3213.82409375
transcript.pyannote[278].end 3214.75221875
transcript.pyannote[279].speaker SPEAKER_17
transcript.pyannote[279].start 3222.27846875
transcript.pyannote[279].end 3223.61159375
transcript.pyannote[280].speaker SPEAKER_15
transcript.pyannote[280].start 3223.61159375
transcript.pyannote[280].end 3223.64534375
transcript.pyannote[281].speaker SPEAKER_17
transcript.pyannote[281].start 3223.64534375
transcript.pyannote[281].end 3223.81409375
transcript.pyannote[282].speaker SPEAKER_15
transcript.pyannote[282].start 3223.81409375
transcript.pyannote[282].end 3223.84784375
transcript.pyannote[283].speaker SPEAKER_17
transcript.pyannote[283].start 3223.84784375
transcript.pyannote[283].end 3224.03346875
transcript.pyannote[284].speaker SPEAKER_15
transcript.pyannote[284].start 3224.03346875
transcript.pyannote[284].end 3224.06721875
transcript.pyannote[285].speaker SPEAKER_17
transcript.pyannote[285].start 3224.06721875
transcript.pyannote[285].end 3225.97409375
transcript.pyannote[286].speaker SPEAKER_15
transcript.pyannote[286].start 3224.87721875
transcript.pyannote[286].end 3227.20596875
transcript.pyannote[287].speaker SPEAKER_17
transcript.pyannote[287].start 3226.85159375
transcript.pyannote[287].end 3233.24721875
transcript.pyannote[288].speaker SPEAKER_15
transcript.pyannote[288].start 3233.24721875
transcript.pyannote[288].end 3233.51721875
transcript.pyannote[289].speaker SPEAKER_17
transcript.pyannote[289].start 3233.51721875
transcript.pyannote[289].end 3233.97284375
transcript.pyannote[290].speaker SPEAKER_15
transcript.pyannote[290].start 3233.97284375
transcript.pyannote[290].end 3234.10784375
transcript.pyannote[291].speaker SPEAKER_17
transcript.pyannote[291].start 3234.10784375
transcript.pyannote[291].end 3236.87534375
transcript.pyannote[292].speaker SPEAKER_15
transcript.pyannote[292].start 3234.29346875
transcript.pyannote[292].end 3234.66471875
transcript.pyannote[293].speaker SPEAKER_15
transcript.pyannote[293].start 3236.87534375
transcript.pyannote[293].end 3236.94284375
transcript.pyannote[294].speaker SPEAKER_17
transcript.pyannote[294].start 3236.94284375
transcript.pyannote[294].end 3236.95971875
transcript.pyannote[295].speaker SPEAKER_15
transcript.pyannote[295].start 3236.95971875
transcript.pyannote[295].end 3237.11159375
transcript.pyannote[296].speaker SPEAKER_17
transcript.pyannote[296].start 3237.11159375
transcript.pyannote[296].end 3239.52471875
transcript.pyannote[297].speaker SPEAKER_15
transcript.pyannote[297].start 3237.48284375
transcript.pyannote[297].end 3249.04221875
transcript.pyannote[298].speaker SPEAKER_17
transcript.pyannote[298].start 3241.81971875
transcript.pyannote[298].end 3243.47346875
transcript.pyannote[299].speaker SPEAKER_14
transcript.pyannote[299].start 3243.47346875
transcript.pyannote[299].end 3243.49034375
transcript.pyannote[300].speaker SPEAKER_15
transcript.pyannote[300].start 3249.66659375
transcript.pyannote[300].end 3252.53534375
transcript.pyannote[301].speaker SPEAKER_15
transcript.pyannote[301].start 3253.05846875
transcript.pyannote[301].end 3257.49659375
transcript.pyannote[302].speaker SPEAKER_17
transcript.pyannote[302].start 3254.07096875
transcript.pyannote[302].end 3254.84721875
transcript.pyannote[303].speaker SPEAKER_15
transcript.pyannote[303].start 3257.71596875
transcript.pyannote[303].end 3270.77721875
transcript.pyannote[304].speaker SPEAKER_17
transcript.pyannote[304].start 3265.22534375
transcript.pyannote[304].end 3265.51221875
transcript.pyannote[305].speaker SPEAKER_17
transcript.pyannote[305].start 3265.86659375
transcript.pyannote[305].end 3266.96346875
transcript.pyannote[306].speaker SPEAKER_17
transcript.pyannote[306].start 3268.27971875
transcript.pyannote[306].end 3269.57909375
transcript.pyannote[307].speaker SPEAKER_15
transcript.pyannote[307].start 3271.08096875
transcript.pyannote[307].end 3281.64471875
transcript.pyannote[308].speaker SPEAKER_17
transcript.pyannote[308].start 3280.10909375
transcript.pyannote[308].end 3307.78409375
transcript.pyannote[309].speaker SPEAKER_15
transcript.pyannote[309].start 3286.38659375
transcript.pyannote[309].end 3286.63971875
transcript.pyannote[310].speaker SPEAKER_17
transcript.pyannote[310].start 3308.91471875
transcript.pyannote[310].end 3309.20159375
transcript.pyannote[311].speaker SPEAKER_17
transcript.pyannote[311].start 3309.64034375
transcript.pyannote[311].end 3329.95784375
transcript.pyannote[312].speaker SPEAKER_29
transcript.pyannote[312].start 3319.59659375
transcript.pyannote[312].end 3319.96784375
transcript.pyannote[313].speaker SPEAKER_00
transcript.pyannote[313].start 3319.96784375
transcript.pyannote[313].end 3320.92971875
transcript.pyannote[314].speaker SPEAKER_15
transcript.pyannote[314].start 3325.55346875
transcript.pyannote[314].end 3327.03846875
transcript.pyannote[315].speaker SPEAKER_17
transcript.pyannote[315].start 3329.99159375
transcript.pyannote[315].end 3330.02534375
transcript.pyannote[316].speaker SPEAKER_17
transcript.pyannote[316].start 3330.10971875
transcript.pyannote[316].end 3332.60721875
transcript.pyannote[317].speaker SPEAKER_15
transcript.pyannote[317].start 3330.14346875
transcript.pyannote[317].end 3330.76784375
transcript.pyannote[318].speaker SPEAKER_15
transcript.pyannote[318].start 3331.03784375
transcript.pyannote[318].end 3351.18659375
transcript.pyannote[319].speaker SPEAKER_10
transcript.pyannote[319].start 3344.45346875
transcript.pyannote[319].end 3345.02721875
transcript.pyannote[320].speaker SPEAKER_17
transcript.pyannote[320].start 3345.02721875
transcript.pyannote[320].end 3345.63471875
transcript.pyannote[321].speaker SPEAKER_17
transcript.pyannote[321].start 3346.29284375
transcript.pyannote[321].end 3347.60909375
transcript.pyannote[322].speaker SPEAKER_17
transcript.pyannote[322].start 3350.20784375
transcript.pyannote[322].end 3354.69659375
transcript.pyannote[323].speaker SPEAKER_15
transcript.pyannote[323].start 3352.67159375
transcript.pyannote[323].end 3354.62909375
transcript.pyannote[324].speaker SPEAKER_15
transcript.pyannote[324].start 3354.69659375
transcript.pyannote[324].end 3354.73034375
transcript.pyannote[325].speaker SPEAKER_15
transcript.pyannote[325].start 3354.78096875
transcript.pyannote[325].end 3358.37534375
transcript.pyannote[326].speaker SPEAKER_16
transcript.pyannote[326].start 3356.58659375
transcript.pyannote[326].end 3356.60346875
transcript.pyannote[327].speaker SPEAKER_17
transcript.pyannote[327].start 3356.60346875
transcript.pyannote[327].end 3357.51471875
transcript.pyannote[328].speaker SPEAKER_15
transcript.pyannote[328].start 3358.84784375
transcript.pyannote[328].end 3363.85971875
transcript.pyannote[329].speaker SPEAKER_17
transcript.pyannote[329].start 3364.82159375
transcript.pyannote[329].end 3364.83846875
transcript.pyannote[330].speaker SPEAKER_15
transcript.pyannote[330].start 3364.83846875
transcript.pyannote[330].end 3367.03221875
transcript.pyannote[331].speaker SPEAKER_17
transcript.pyannote[331].start 3367.03221875
transcript.pyannote[331].end 3367.30221875
transcript.pyannote[332].speaker SPEAKER_15
transcript.pyannote[332].start 3367.30221875
transcript.pyannote[332].end 3369.36096875
transcript.pyannote[333].speaker SPEAKER_15
transcript.pyannote[333].start 3369.78284375
transcript.pyannote[333].end 3377.03909375
transcript.pyannote[334].speaker SPEAKER_17
transcript.pyannote[334].start 3377.03909375
transcript.pyannote[334].end 3389.15534375
transcript.pyannote[335].speaker SPEAKER_29
transcript.pyannote[335].start 3383.43471875
transcript.pyannote[335].end 3384.29534375
transcript.pyannote[336].speaker SPEAKER_29
transcript.pyannote[336].start 3384.66659375
transcript.pyannote[336].end 3384.70034375
transcript.pyannote[337].speaker SPEAKER_10
transcript.pyannote[337].start 3384.70034375
transcript.pyannote[337].end 3385.12221875
transcript.pyannote[338].speaker SPEAKER_29
transcript.pyannote[338].start 3385.12221875
transcript.pyannote[338].end 3385.15596875
transcript.pyannote[339].speaker SPEAKER_00
transcript.pyannote[339].start 3385.15596875
transcript.pyannote[339].end 3385.25721875
transcript.pyannote[340].speaker SPEAKER_17
transcript.pyannote[340].start 3390.25221875
transcript.pyannote[340].end 3390.85971875
transcript.pyannote[341].speaker SPEAKER_32
transcript.pyannote[341].start 3392.76659375
transcript.pyannote[341].end 3394.77471875
transcript.pyannote[342].speaker SPEAKER_32
transcript.pyannote[342].start 3394.97721875
transcript.pyannote[342].end 3395.02784375
transcript.pyannote[343].speaker SPEAKER_32
transcript.pyannote[343].start 3395.16284375
transcript.pyannote[343].end 3397.57596875
transcript.pyannote[344].speaker SPEAKER_35
transcript.pyannote[344].start 3405.91221875
transcript.pyannote[344].end 3412.10534375
transcript.pyannote[345].speaker SPEAKER_35
transcript.pyannote[345].start 3412.32471875
transcript.pyannote[345].end 3415.73346875
transcript.pyannote[346].speaker SPEAKER_35
transcript.pyannote[346].start 3416.18909375
transcript.pyannote[346].end 3419.05784375
transcript.pyannote[347].speaker SPEAKER_35
transcript.pyannote[347].start 3419.91846875
transcript.pyannote[347].end 3420.86346875
transcript.pyannote[348].speaker SPEAKER_35
transcript.pyannote[348].start 3421.13346875
transcript.pyannote[348].end 3421.18409375
transcript.pyannote[349].speaker SPEAKER_32
transcript.pyannote[349].start 3421.18409375
transcript.pyannote[349].end 3421.96034375
transcript.pyannote[350].speaker SPEAKER_32
transcript.pyannote[350].start 3422.70284375
transcript.pyannote[350].end 3423.39471875
transcript.pyannote[351].speaker SPEAKER_32
transcript.pyannote[351].start 3423.74909375
transcript.pyannote[351].end 3424.23846875
transcript.pyannote[352].speaker SPEAKER_32
transcript.pyannote[352].start 3426.85409375
transcript.pyannote[352].end 3428.57534375
transcript.pyannote[353].speaker SPEAKER_32
transcript.pyannote[353].start 3428.84534375
transcript.pyannote[353].end 3430.41471875
transcript.pyannote[354].speaker SPEAKER_35
transcript.pyannote[354].start 3434.92034375
transcript.pyannote[354].end 3447.54284375
transcript.pyannote[355].speaker SPEAKER_35
transcript.pyannote[355].start 3447.72846875
transcript.pyannote[355].end 3458.32596875
transcript.pyannote[356].speaker SPEAKER_35
transcript.pyannote[356].start 3458.52846875
transcript.pyannote[356].end 3466.88159375
transcript.pyannote[357].speaker SPEAKER_35
transcript.pyannote[357].start 3467.10096875
transcript.pyannote[357].end 3468.61971875
transcript.pyannote[358].speaker SPEAKER_35
transcript.pyannote[358].start 3469.14284375
transcript.pyannote[358].end 3471.58971875
transcript.pyannote[359].speaker SPEAKER_35
transcript.pyannote[359].start 3471.70784375
transcript.pyannote[359].end 3476.46659375
transcript.pyannote[360].speaker SPEAKER_35
transcript.pyannote[360].start 3476.66909375
transcript.pyannote[360].end 3480.93846875
transcript.pyannote[361].speaker SPEAKER_35
transcript.pyannote[361].start 3481.41096875
transcript.pyannote[361].end 3489.64596875
transcript.pyannote[362].speaker SPEAKER_35
transcript.pyannote[362].start 3489.76409375
transcript.pyannote[362].end 3495.53534375
transcript.pyannote[363].speaker SPEAKER_35
transcript.pyannote[363].start 3496.15971875
transcript.pyannote[363].end 3509.72721875
transcript.pyannote[364].speaker SPEAKER_35
transcript.pyannote[364].start 3510.06471875
transcript.pyannote[364].end 3510.79034375
transcript.pyannote[365].speaker SPEAKER_35
transcript.pyannote[365].start 3510.95909375
transcript.pyannote[365].end 3514.35096875
transcript.pyannote[366].speaker SPEAKER_35
transcript.pyannote[366].start 3514.51971875
transcript.pyannote[366].end 3521.94471875
transcript.pyannote[367].speaker SPEAKER_35
transcript.pyannote[367].start 3522.40034375
transcript.pyannote[367].end 3525.11721875
transcript.pyannote[368].speaker SPEAKER_24
transcript.pyannote[368].start 3525.35346875
transcript.pyannote[368].end 3531.22596875
transcript.pyannote[369].speaker SPEAKER_24
transcript.pyannote[369].start 3531.71534375
transcript.pyannote[369].end 3542.65034375
transcript.pyannote[370].speaker SPEAKER_35
transcript.pyannote[370].start 3541.48596875
transcript.pyannote[370].end 3547.18971875
transcript.pyannote[371].speaker SPEAKER_35
transcript.pyannote[371].start 3548.47221875
transcript.pyannote[371].end 3548.57346875
transcript.pyannote[372].speaker SPEAKER_24
transcript.pyannote[372].start 3548.57346875
transcript.pyannote[372].end 3549.28221875
transcript.pyannote[373].speaker SPEAKER_35
transcript.pyannote[373].start 3549.28221875
transcript.pyannote[373].end 3549.41721875
transcript.pyannote[374].speaker SPEAKER_24
transcript.pyannote[374].start 3549.41721875
transcript.pyannote[374].end 3552.33659375
transcript.pyannote[375].speaker SPEAKER_24
transcript.pyannote[375].start 3552.57284375
transcript.pyannote[375].end 3553.56846875
transcript.pyannote[376].speaker SPEAKER_24
transcript.pyannote[376].start 3553.95659375
transcript.pyannote[376].end 3556.90971875
transcript.pyannote[377].speaker SPEAKER_35
transcript.pyannote[377].start 3556.90971875
transcript.pyannote[377].end 3557.53409375
transcript.pyannote[378].speaker SPEAKER_35
transcript.pyannote[378].start 3558.00659375
transcript.pyannote[378].end 3562.95096875
transcript.pyannote[379].speaker SPEAKER_18
transcript.pyannote[379].start 3564.50346875
transcript.pyannote[379].end 3571.32096875
transcript.pyannote[380].speaker SPEAKER_18
transcript.pyannote[380].start 3571.96221875
transcript.pyannote[380].end 3576.50159375
transcript.pyannote[381].speaker SPEAKER_18
transcript.pyannote[381].start 3576.97409375
transcript.pyannote[381].end 3580.23096875
transcript.pyannote[382].speaker SPEAKER_35
transcript.pyannote[382].start 3580.14659375
transcript.pyannote[382].end 3581.53034375
transcript.pyannote[383].speaker SPEAKER_18
transcript.pyannote[383].start 3580.53471875
transcript.pyannote[383].end 3583.03221875
transcript.pyannote[384].speaker SPEAKER_18
transcript.pyannote[384].start 3583.53846875
transcript.pyannote[384].end 3585.44534375
transcript.pyannote[385].speaker SPEAKER_18
transcript.pyannote[385].start 3585.96846875
transcript.pyannote[385].end 3590.33909375
transcript.pyannote[386].speaker SPEAKER_18
transcript.pyannote[386].start 3590.67659375
transcript.pyannote[386].end 3591.63846875
transcript.pyannote[387].speaker SPEAKER_18
transcript.pyannote[387].start 3592.11096875
transcript.pyannote[387].end 3593.78159375
transcript.pyannote[388].speaker SPEAKER_18
transcript.pyannote[388].start 3594.16971875
transcript.pyannote[388].end 3601.20659375
transcript.pyannote[389].speaker SPEAKER_35
transcript.pyannote[389].start 3600.44721875
transcript.pyannote[389].end 3602.92784375
transcript.pyannote[390].speaker SPEAKER_02
transcript.pyannote[390].start 3604.63221875
transcript.pyannote[390].end 3611.24721875
transcript.pyannote[391].speaker SPEAKER_02
transcript.pyannote[391].start 3611.34846875
transcript.pyannote[391].end 3620.41034375
transcript.pyannote[392].speaker SPEAKER_02
transcript.pyannote[392].start 3620.73096875
transcript.pyannote[392].end 3627.39659375
transcript.pyannote[393].speaker SPEAKER_02
transcript.pyannote[393].start 3627.64971875
transcript.pyannote[393].end 3635.83409375
transcript.pyannote[394].speaker SPEAKER_02
transcript.pyannote[394].start 3636.34034375
transcript.pyannote[394].end 3639.29346875
transcript.pyannote[395].speaker SPEAKER_02
transcript.pyannote[395].start 3639.51284375
transcript.pyannote[395].end 3641.13284375
transcript.pyannote[396].speaker SPEAKER_02
transcript.pyannote[396].start 3641.47034375
transcript.pyannote[396].end 3646.22909375
transcript.pyannote[397].speaker SPEAKER_02
transcript.pyannote[397].start 3646.63409375
transcript.pyannote[397].end 3649.97534375
transcript.pyannote[398].speaker SPEAKER_35
transcript.pyannote[398].start 3648.28784375
transcript.pyannote[398].end 3648.96284375
transcript.pyannote[399].speaker SPEAKER_26
transcript.pyannote[399].start 3648.96284375
transcript.pyannote[399].end 3649.03034375
transcript.pyannote[400].speaker SPEAKER_35
transcript.pyannote[400].start 3649.03034375
transcript.pyannote[400].end 3649.97534375
transcript.pyannote[401].speaker SPEAKER_26
transcript.pyannote[401].start 3649.97534375
transcript.pyannote[401].end 3650.85284375
transcript.pyannote[402].speaker SPEAKER_02
transcript.pyannote[402].start 3650.27909375
transcript.pyannote[402].end 3658.59846875
transcript.pyannote[403].speaker SPEAKER_35
transcript.pyannote[403].start 3650.85284375
transcript.pyannote[403].end 3650.93721875
transcript.pyannote[404].speaker SPEAKER_02
transcript.pyannote[404].start 3658.83471875
transcript.pyannote[404].end 3663.86346875
transcript.pyannote[405].speaker SPEAKER_02
transcript.pyannote[405].start 3664.08284375
transcript.pyannote[405].end 3668.21721875
transcript.pyannote[406].speaker SPEAKER_02
transcript.pyannote[406].start 3668.35221875
transcript.pyannote[406].end 3673.27971875
transcript.pyannote[407].speaker SPEAKER_30
transcript.pyannote[407].start 3671.27159375
transcript.pyannote[407].end 3671.69346875
transcript.pyannote[408].speaker SPEAKER_02
transcript.pyannote[408].start 3673.63409375
transcript.pyannote[408].end 3682.02096875
transcript.pyannote[409].speaker SPEAKER_35
transcript.pyannote[409].start 3681.41346875
transcript.pyannote[409].end 3683.82659375
transcript.pyannote[410].speaker SPEAKER_03
transcript.pyannote[410].start 3685.93596875
transcript.pyannote[410].end 3691.87596875
transcript.pyannote[411].speaker SPEAKER_03
transcript.pyannote[411].start 3692.02784375
transcript.pyannote[411].end 3694.59284375
transcript.pyannote[412].speaker SPEAKER_03
transcript.pyannote[412].start 3694.84596875
transcript.pyannote[412].end 3696.16221875
transcript.pyannote[413].speaker SPEAKER_03
transcript.pyannote[413].start 3696.33096875
transcript.pyannote[413].end 3699.04784375
transcript.pyannote[414].speaker SPEAKER_03
transcript.pyannote[414].start 3699.45284375
transcript.pyannote[414].end 3706.45596875
transcript.pyannote[415].speaker SPEAKER_03
transcript.pyannote[415].start 3707.04659375
transcript.pyannote[415].end 3707.06346875
transcript.pyannote[416].speaker SPEAKER_35
transcript.pyannote[416].start 3707.06346875
transcript.pyannote[416].end 3717.27284375
transcript.pyannote[417].speaker SPEAKER_35
transcript.pyannote[417].start 3718.74096875
transcript.pyannote[417].end 3719.38221875
transcript.pyannote[418].speaker SPEAKER_35
transcript.pyannote[418].start 3720.41159375
transcript.pyannote[418].end 3720.68159375
transcript.pyannote[419].speaker SPEAKER_35
transcript.pyannote[419].start 3721.93034375
transcript.pyannote[419].end 3722.62221875
transcript.pyannote[420].speaker SPEAKER_35
transcript.pyannote[420].start 3723.60096875
transcript.pyannote[420].end 3727.63409375
transcript.pyannote[421].speaker SPEAKER_35
transcript.pyannote[421].start 3727.90409375
transcript.pyannote[421].end 3731.66721875
transcript.pyannote[422].speaker SPEAKER_00
transcript.pyannote[422].start 3728.61284375
transcript.pyannote[422].end 3729.33846875
transcript.pyannote[423].speaker SPEAKER_35
transcript.pyannote[423].start 3731.81909375
transcript.pyannote[423].end 3733.52346875
transcript.pyannote[424].speaker SPEAKER_35
transcript.pyannote[424].start 3733.64159375
transcript.pyannote[424].end 3738.58596875
transcript.pyannote[425].speaker SPEAKER_35
transcript.pyannote[425].start 3738.87284375
transcript.pyannote[425].end 3752.98034375
transcript.pyannote[426].speaker SPEAKER_02
transcript.pyannote[426].start 3748.35659375
transcript.pyannote[426].end 3748.66034375
transcript.pyannote[427].speaker SPEAKER_02
transcript.pyannote[427].start 3752.98034375
transcript.pyannote[427].end 3752.99721875
transcript.pyannote[428].speaker SPEAKER_02
transcript.pyannote[428].start 3753.33471875
transcript.pyannote[428].end 3754.51596875
transcript.pyannote[429].speaker SPEAKER_02
transcript.pyannote[429].start 3754.97159375
transcript.pyannote[429].end 3763.27409375
transcript.pyannote[430].speaker SPEAKER_02
transcript.pyannote[430].start 3763.84784375
transcript.pyannote[430].end 3765.24846875
transcript.pyannote[431].speaker SPEAKER_35
transcript.pyannote[431].start 3763.89846875
transcript.pyannote[431].end 3767.76284375
transcript.pyannote[432].speaker SPEAKER_02
transcript.pyannote[432].start 3767.99909375
transcript.pyannote[432].end 3777.16221875
transcript.pyannote[433].speaker SPEAKER_02
transcript.pyannote[433].start 3777.83721875
transcript.pyannote[433].end 3782.96721875
transcript.pyannote[434].speaker SPEAKER_02
transcript.pyannote[434].start 3783.20346875
transcript.pyannote[434].end 3784.97534375
transcript.pyannote[435].speaker SPEAKER_35
transcript.pyannote[435].start 3783.70971875
transcript.pyannote[435].end 3784.11471875
transcript.pyannote[436].speaker SPEAKER_35
transcript.pyannote[436].start 3784.97534375
transcript.pyannote[436].end 3785.02596875
transcript.pyannote[437].speaker SPEAKER_02
transcript.pyannote[437].start 3785.02596875
transcript.pyannote[437].end 3787.67534375
transcript.pyannote[438].speaker SPEAKER_35
transcript.pyannote[438].start 3785.88659375
transcript.pyannote[438].end 3786.25784375
transcript.pyannote[439].speaker SPEAKER_35
transcript.pyannote[439].start 3787.67534375
transcript.pyannote[439].end 3796.43346875
transcript.pyannote[440].speaker SPEAKER_35
transcript.pyannote[440].start 3796.63596875
transcript.pyannote[440].end 3812.07659375
transcript.pyannote[441].speaker SPEAKER_02
transcript.pyannote[441].start 3801.69846875
transcript.pyannote[441].end 3803.97659375
transcript.pyannote[442].speaker SPEAKER_00
transcript.pyannote[442].start 3803.97659375
transcript.pyannote[442].end 3804.19596875
transcript.pyannote[443].speaker SPEAKER_35
transcript.pyannote[443].start 3812.26221875
transcript.pyannote[443].end 3818.72534375
transcript.pyannote[444].speaker SPEAKER_35
transcript.pyannote[444].start 3819.18096875
transcript.pyannote[444].end 3820.34534375
transcript.pyannote[445].speaker SPEAKER_35
transcript.pyannote[445].start 3823.45034375
transcript.pyannote[445].end 3823.97346875
transcript.pyannote[446].speaker SPEAKER_29
transcript.pyannote[446].start 3824.29409375
transcript.pyannote[446].end 3824.44596875
transcript.pyannote[447].speaker SPEAKER_35
transcript.pyannote[447].start 3824.81721875
transcript.pyannote[447].end 3836.84909375
transcript.pyannote[448].speaker SPEAKER_18
transcript.pyannote[448].start 3837.64221875
transcript.pyannote[448].end 3843.59909375
transcript.pyannote[449].speaker SPEAKER_18
transcript.pyannote[449].start 3843.66659375
transcript.pyannote[449].end 3854.97284375
transcript.pyannote[450].speaker SPEAKER_35
transcript.pyannote[450].start 3851.47971875
transcript.pyannote[450].end 3858.02721875
transcript.pyannote[451].speaker SPEAKER_18
transcript.pyannote[451].start 3856.57596875
transcript.pyannote[451].end 3860.52471875
transcript.pyannote[452].speaker SPEAKER_35
transcript.pyannote[452].start 3858.82034375
transcript.pyannote[452].end 3861.26721875
transcript.pyannote[453].speaker SPEAKER_18
transcript.pyannote[453].start 3861.30096875
transcript.pyannote[453].end 3865.36784375
transcript.pyannote[454].speaker SPEAKER_35
transcript.pyannote[454].start 3865.43534375
transcript.pyannote[454].end 3876.64034375
transcript.pyannote[455].speaker SPEAKER_35
transcript.pyannote[455].start 3876.99471875
transcript.pyannote[455].end 3880.03221875
transcript.pyannote[456].speaker SPEAKER_35
transcript.pyannote[456].start 3880.11659375
transcript.pyannote[456].end 3881.65221875
transcript.pyannote[457].speaker SPEAKER_35
transcript.pyannote[457].start 3881.95596875
transcript.pyannote[457].end 3885.17909375
transcript.pyannote[458].speaker SPEAKER_18
transcript.pyannote[458].start 3884.55471875
transcript.pyannote[458].end 3885.90471875
transcript.pyannote[459].speaker SPEAKER_35
transcript.pyannote[459].start 3885.98909375
transcript.pyannote[459].end 3890.22471875
transcript.pyannote[460].speaker SPEAKER_18
transcript.pyannote[460].start 3887.87909375
transcript.pyannote[460].end 3888.01409375
transcript.pyannote[461].speaker SPEAKER_18
transcript.pyannote[461].start 3888.70596875
transcript.pyannote[461].end 3890.37659375
transcript.pyannote[462].speaker SPEAKER_35
transcript.pyannote[462].start 3890.52846875
transcript.pyannote[462].end 3895.86096875
transcript.pyannote[463].speaker SPEAKER_18
transcript.pyannote[463].start 3894.57846875
transcript.pyannote[463].end 3907.58909375
transcript.pyannote[464].speaker SPEAKER_35
transcript.pyannote[464].start 3907.85909375
transcript.pyannote[464].end 3908.95596875
transcript.pyannote[465].speaker SPEAKER_18
transcript.pyannote[465].start 3909.37784375
transcript.pyannote[465].end 3911.36909375
transcript.pyannote[466].speaker SPEAKER_18
transcript.pyannote[466].start 3911.55471875
transcript.pyannote[466].end 3920.51534375
transcript.pyannote[467].speaker SPEAKER_35
transcript.pyannote[467].start 3920.41409375
transcript.pyannote[467].end 3928.09221875
transcript.pyannote[468].speaker SPEAKER_35
transcript.pyannote[468].start 3929.83034375
transcript.pyannote[468].end 3946.70534375
transcript.pyannote[469].speaker SPEAKER_35
transcript.pyannote[469].start 3947.12721875
transcript.pyannote[469].end 3953.74221875
transcript.pyannote[470].speaker SPEAKER_35
transcript.pyannote[470].start 3953.99534375
transcript.pyannote[470].end 3957.58971875
transcript.pyannote[471].speaker SPEAKER_35
transcript.pyannote[471].start 3957.74159375
transcript.pyannote[471].end 3959.15909375
transcript.pyannote[472].speaker SPEAKER_35
transcript.pyannote[472].start 3959.47971875
transcript.pyannote[472].end 3961.74096875
transcript.pyannote[473].speaker SPEAKER_35
transcript.pyannote[473].start 3962.07846875
transcript.pyannote[473].end 3966.83721875
transcript.pyannote[474].speaker SPEAKER_03
transcript.pyannote[474].start 3967.03971875
transcript.pyannote[474].end 3975.35909375
transcript.pyannote[475].speaker SPEAKER_35
transcript.pyannote[475].start 3974.36346875
transcript.pyannote[475].end 3982.49721875
transcript.pyannote[476].speaker SPEAKER_03
transcript.pyannote[476].start 3981.06284375
transcript.pyannote[476].end 3981.19784375
transcript.pyannote[477].speaker SPEAKER_03
transcript.pyannote[477].start 3983.10471875
transcript.pyannote[477].end 3990.69846875
transcript.pyannote[478].speaker SPEAKER_03
transcript.pyannote[478].start 3991.10346875
transcript.pyannote[478].end 3995.03534375
transcript.pyannote[479].speaker SPEAKER_03
transcript.pyannote[479].start 3995.30534375
transcript.pyannote[479].end 3997.24596875
transcript.pyannote[480].speaker SPEAKER_03
transcript.pyannote[480].start 3997.61721875
transcript.pyannote[480].end 4001.88659375
transcript.pyannote[481].speaker SPEAKER_35
transcript.pyannote[481].start 4001.98784375
transcript.pyannote[481].end 4004.73846875
transcript.pyannote[482].speaker SPEAKER_03
transcript.pyannote[482].start 4005.02534375
transcript.pyannote[482].end 4005.63284375
transcript.pyannote[483].speaker SPEAKER_03
transcript.pyannote[483].start 4006.30784375
transcript.pyannote[483].end 4017.81659375
transcript.pyannote[484].speaker SPEAKER_35
transcript.pyannote[484].start 4010.32409375
transcript.pyannote[484].end 4012.56846875
transcript.pyannote[485].speaker SPEAKER_33
transcript.pyannote[485].start 4012.56846875
transcript.pyannote[485].end 4012.63596875
transcript.pyannote[486].speaker SPEAKER_35
transcript.pyannote[486].start 4012.63596875
transcript.pyannote[486].end 4012.68659375
transcript.pyannote[487].speaker SPEAKER_35
transcript.pyannote[487].start 4013.12534375
transcript.pyannote[487].end 4013.42909375
transcript.pyannote[488].speaker SPEAKER_03
transcript.pyannote[488].start 4018.66034375
transcript.pyannote[488].end 4021.36034375
transcript.pyannote[489].speaker SPEAKER_03
transcript.pyannote[489].start 4021.63034375
transcript.pyannote[489].end 4024.16159375
transcript.pyannote[490].speaker SPEAKER_03
transcript.pyannote[490].start 4024.58346875
transcript.pyannote[490].end 4025.05596875
transcript.pyannote[491].speaker SPEAKER_03
transcript.pyannote[491].start 4025.59596875
transcript.pyannote[491].end 4027.78971875
transcript.pyannote[492].speaker SPEAKER_03
transcript.pyannote[492].start 4028.07659375
transcript.pyannote[492].end 4030.52346875
transcript.pyannote[493].speaker SPEAKER_35
transcript.pyannote[493].start 4030.52346875
transcript.pyannote[493].end 4030.54034375
transcript.pyannote[494].speaker SPEAKER_35
transcript.pyannote[494].start 4031.36721875
transcript.pyannote[494].end 4036.63221875
transcript.pyannote[495].speaker SPEAKER_35
transcript.pyannote[495].start 4036.86846875
transcript.pyannote[495].end 4043.26409375
transcript.pyannote[496].speaker SPEAKER_32
transcript.pyannote[496].start 4043.26409375
transcript.pyannote[496].end 4043.28096875
transcript.pyannote[497].speaker SPEAKER_32
transcript.pyannote[497].start 4046.41971875
transcript.pyannote[497].end 4049.54159375
transcript.pyannote[498].speaker SPEAKER_30
transcript.pyannote[498].start 4059.44721875
transcript.pyannote[498].end 4063.26096875
transcript.pyannote[499].speaker SPEAKER_32
transcript.pyannote[499].start 4063.81784375
transcript.pyannote[499].end 4064.57721875
transcript.pyannote[500].speaker SPEAKER_30
transcript.pyannote[500].start 4064.81346875
transcript.pyannote[500].end 4067.47971875
transcript.pyannote[501].speaker SPEAKER_32
transcript.pyannote[501].start 4068.15471875
transcript.pyannote[501].end 4069.60596875
transcript.pyannote[502].speaker SPEAKER_30
transcript.pyannote[502].start 4069.60596875
transcript.pyannote[502].end 4070.82096875
transcript.pyannote[503].speaker SPEAKER_30
transcript.pyannote[503].start 4071.71534375
transcript.pyannote[503].end 4073.14971875
transcript.pyannote[504].speaker SPEAKER_30
transcript.pyannote[504].start 4073.21721875
transcript.pyannote[504].end 4075.34346875
transcript.pyannote[505].speaker SPEAKER_32
transcript.pyannote[505].start 4075.63034375
transcript.pyannote[505].end 4076.35596875
transcript.pyannote[506].speaker SPEAKER_30
transcript.pyannote[506].start 4076.45721875
transcript.pyannote[506].end 4079.41034375
transcript.pyannote[507].speaker SPEAKER_32
transcript.pyannote[507].start 4079.71409375
transcript.pyannote[507].end 4080.43971875
transcript.pyannote[508].speaker SPEAKER_30
transcript.pyannote[508].start 4082.80221875
transcript.pyannote[508].end 4083.12284375
transcript.pyannote[509].speaker SPEAKER_30
transcript.pyannote[509].start 4084.15221875
transcript.pyannote[509].end 4085.14784375
transcript.pyannote[510].speaker SPEAKER_30
transcript.pyannote[510].start 4085.68784375
transcript.pyannote[510].end 4091.50971875
transcript.pyannote[511].speaker SPEAKER_30
transcript.pyannote[511].start 4091.74596875
transcript.pyannote[511].end 4093.23096875
transcript.pyannote[512].speaker SPEAKER_30
transcript.pyannote[512].start 4093.50096875
transcript.pyannote[512].end 4094.73284375
transcript.pyannote[513].speaker SPEAKER_30
transcript.pyannote[513].start 4095.25596875
transcript.pyannote[513].end 4096.55534375
transcript.pyannote[514].speaker SPEAKER_30
transcript.pyannote[514].start 4097.71971875
transcript.pyannote[514].end 4099.79534375
transcript.pyannote[515].speaker SPEAKER_15
transcript.pyannote[515].start 4102.47846875
transcript.pyannote[515].end 4109.43096875
transcript.pyannote[516].speaker SPEAKER_30
transcript.pyannote[516].start 4108.45221875
transcript.pyannote[516].end 4110.15659375
transcript.pyannote[517].speaker SPEAKER_15
transcript.pyannote[517].start 4111.38846875
transcript.pyannote[517].end 4113.02534375
transcript.pyannote[518].speaker SPEAKER_30
transcript.pyannote[518].start 4113.04221875
transcript.pyannote[518].end 4115.45534375
transcript.pyannote[519].speaker SPEAKER_30
transcript.pyannote[519].start 4115.57346875
transcript.pyannote[519].end 4120.46721875
transcript.pyannote[520].speaker SPEAKER_30
transcript.pyannote[520].start 4121.69909375
transcript.pyannote[520].end 4130.28846875
transcript.pyannote[521].speaker SPEAKER_30
transcript.pyannote[521].start 4130.77784375
transcript.pyannote[521].end 4133.76471875
transcript.pyannote[522].speaker SPEAKER_30
transcript.pyannote[522].start 4134.16971875
transcript.pyannote[522].end 4138.18596875
transcript.pyannote[523].speaker SPEAKER_30
transcript.pyannote[523].start 4138.87784375
transcript.pyannote[523].end 4139.63721875
transcript.pyannote[524].speaker SPEAKER_15
transcript.pyannote[524].start 4139.77221875
transcript.pyannote[524].end 4140.34596875
transcript.pyannote[525].speaker SPEAKER_15
transcript.pyannote[525].start 4140.86909375
transcript.pyannote[525].end 4146.43784375
transcript.pyannote[526].speaker SPEAKER_30
transcript.pyannote[526].start 4144.42971875
transcript.pyannote[526].end 4146.53909375
transcript.pyannote[527].speaker SPEAKER_15
transcript.pyannote[527].start 4147.07909375
transcript.pyannote[527].end 4148.85096875
transcript.pyannote[528].speaker SPEAKER_30
transcript.pyannote[528].start 4147.51784375
transcript.pyannote[528].end 4152.73221875
transcript.pyannote[529].speaker SPEAKER_15
transcript.pyannote[529].start 4150.20096875
transcript.pyannote[529].end 4150.82534375
transcript.pyannote[530].speaker SPEAKER_15
transcript.pyannote[530].start 4153.20471875
transcript.pyannote[530].end 4156.29284375
transcript.pyannote[531].speaker SPEAKER_15
transcript.pyannote[531].start 4156.81596875
transcript.pyannote[531].end 4158.53721875
transcript.pyannote[532].speaker SPEAKER_30
transcript.pyannote[532].start 4158.53721875
transcript.pyannote[532].end 4159.80284375
transcript.pyannote[533].speaker SPEAKER_30
transcript.pyannote[533].start 4160.25846875
transcript.pyannote[533].end 4164.12284375
transcript.pyannote[534].speaker SPEAKER_30
transcript.pyannote[534].start 4164.17346875
transcript.pyannote[534].end 4172.72909375
transcript.pyannote[535].speaker SPEAKER_15
transcript.pyannote[535].start 4168.51034375
transcript.pyannote[535].end 4168.93221875
transcript.pyannote[536].speaker SPEAKER_15
transcript.pyannote[536].start 4169.48909375
transcript.pyannote[536].end 4169.82659375
transcript.pyannote[537].speaker SPEAKER_15
transcript.pyannote[537].start 4173.16784375
transcript.pyannote[537].end 4174.83846875
transcript.pyannote[538].speaker SPEAKER_30
transcript.pyannote[538].start 4175.41221875
transcript.pyannote[538].end 4176.12096875
transcript.pyannote[539].speaker SPEAKER_30
transcript.pyannote[539].start 4176.57659375
transcript.pyannote[539].end 4183.76534375
transcript.pyannote[540].speaker SPEAKER_15
transcript.pyannote[540].start 4178.80409375
transcript.pyannote[540].end 4179.20909375
transcript.pyannote[541].speaker SPEAKER_30
transcript.pyannote[541].start 4184.03534375
transcript.pyannote[541].end 4185.23346875
transcript.pyannote[542].speaker SPEAKER_15
transcript.pyannote[542].start 4184.06909375
transcript.pyannote[542].end 4184.81159375
transcript.pyannote[543].speaker SPEAKER_15
transcript.pyannote[543].start 4185.30096875
transcript.pyannote[543].end 4187.62971875
transcript.pyannote[544].speaker SPEAKER_15
transcript.pyannote[544].start 4187.86596875
transcript.pyannote[544].end 4190.04284375
transcript.pyannote[545].speaker SPEAKER_15
transcript.pyannote[545].start 4190.31284375
transcript.pyannote[545].end 4191.15659375
transcript.pyannote[546].speaker SPEAKER_30
transcript.pyannote[546].start 4191.32534375
transcript.pyannote[546].end 4196.20221875
transcript.pyannote[547].speaker SPEAKER_15
transcript.pyannote[547].start 4197.65346875
transcript.pyannote[547].end 4199.45909375
transcript.pyannote[548].speaker SPEAKER_30
transcript.pyannote[548].start 4200.15096875
transcript.pyannote[548].end 4205.50034375
transcript.pyannote[549].speaker SPEAKER_15
transcript.pyannote[549].start 4201.09596875
transcript.pyannote[549].end 4202.86784375
transcript.pyannote[550].speaker SPEAKER_15
transcript.pyannote[550].start 4204.82534375
transcript.pyannote[550].end 4207.93034375
transcript.pyannote[551].speaker SPEAKER_30
transcript.pyannote[551].start 4206.96846875
transcript.pyannote[551].end 4209.63471875
transcript.pyannote[552].speaker SPEAKER_15
transcript.pyannote[552].start 4209.41534375
transcript.pyannote[552].end 4211.54159375
transcript.pyannote[553].speaker SPEAKER_30
transcript.pyannote[553].start 4210.88346875
transcript.pyannote[553].end 4210.91721875
transcript.pyannote[554].speaker SPEAKER_14
transcript.pyannote[554].start 4210.91721875
transcript.pyannote[554].end 4210.93409375
transcript.pyannote[555].speaker SPEAKER_30
transcript.pyannote[555].start 4210.93409375
transcript.pyannote[555].end 4211.33909375
transcript.pyannote[556].speaker SPEAKER_30
transcript.pyannote[556].start 4211.47409375
transcript.pyannote[556].end 4215.94596875
transcript.pyannote[557].speaker SPEAKER_15
transcript.pyannote[557].start 4213.56659375
transcript.pyannote[557].end 4213.87034375
transcript.pyannote[558].speaker SPEAKER_15
transcript.pyannote[558].start 4216.50284375
transcript.pyannote[558].end 4217.29596875
transcript.pyannote[559].speaker SPEAKER_15
transcript.pyannote[559].start 4218.02159375
transcript.pyannote[559].end 4219.45596875
transcript.pyannote[560].speaker SPEAKER_15
transcript.pyannote[560].start 4219.74284375
transcript.pyannote[560].end 4221.88596875
transcript.pyannote[561].speaker SPEAKER_15
transcript.pyannote[561].start 4222.27409375
transcript.pyannote[561].end 4222.56096875
transcript.pyannote[562].speaker SPEAKER_15
transcript.pyannote[562].start 4223.03346875
transcript.pyannote[562].end 4225.09221875
transcript.pyannote[563].speaker SPEAKER_15
transcript.pyannote[563].start 4225.31159375
transcript.pyannote[563].end 4228.50096875
transcript.pyannote[564].speaker SPEAKER_30
transcript.pyannote[564].start 4229.00721875
transcript.pyannote[564].end 4231.36971875
transcript.pyannote[565].speaker SPEAKER_15
transcript.pyannote[565].start 4231.69034375
transcript.pyannote[565].end 4233.49596875
transcript.pyannote[566].speaker SPEAKER_30
transcript.pyannote[566].start 4233.47909375
transcript.pyannote[566].end 4240.21221875
transcript.pyannote[567].speaker SPEAKER_15
transcript.pyannote[567].start 4234.00221875
transcript.pyannote[567].end 4234.27221875
transcript.pyannote[568].speaker SPEAKER_15
transcript.pyannote[568].start 4238.82846875
transcript.pyannote[568].end 4238.98034375
transcript.pyannote[569].speaker SPEAKER_15
transcript.pyannote[569].start 4239.21659375
transcript.pyannote[569].end 4239.67221875
transcript.pyannote[570].speaker SPEAKER_30
transcript.pyannote[570].start 4240.53284375
transcript.pyannote[570].end 4245.62909375
transcript.pyannote[571].speaker SPEAKER_15
transcript.pyannote[571].start 4245.12284375
transcript.pyannote[571].end 4246.72596875
transcript.pyannote[572].speaker SPEAKER_15
transcript.pyannote[572].start 4247.40096875
transcript.pyannote[572].end 4251.28221875
transcript.pyannote[573].speaker SPEAKER_30
transcript.pyannote[573].start 4249.39221875
transcript.pyannote[573].end 4252.68284375
transcript.pyannote[574].speaker SPEAKER_15
transcript.pyannote[574].start 4252.58159375
transcript.pyannote[574].end 4253.25659375
transcript.pyannote[575].speaker SPEAKER_30
transcript.pyannote[575].start 4253.25659375
transcript.pyannote[575].end 4254.87659375
transcript.pyannote[576].speaker SPEAKER_15
transcript.pyannote[576].start 4253.27346875
transcript.pyannote[576].end 4253.37471875
transcript.pyannote[577].speaker SPEAKER_15
transcript.pyannote[577].start 4253.44221875
transcript.pyannote[577].end 4254.18471875
transcript.pyannote[578].speaker SPEAKER_15
transcript.pyannote[578].start 4255.23096875
transcript.pyannote[578].end 4258.43721875
transcript.pyannote[579].speaker SPEAKER_30
transcript.pyannote[579].start 4257.18846875
transcript.pyannote[579].end 4260.25971875
transcript.pyannote[580].speaker SPEAKER_30
transcript.pyannote[580].start 4260.59721875
transcript.pyannote[580].end 4267.34721875
transcript.pyannote[581].speaker SPEAKER_15
transcript.pyannote[581].start 4266.36846875
transcript.pyannote[581].end 4266.80721875
transcript.pyannote[582].speaker SPEAKER_15
transcript.pyannote[582].start 4267.34721875
transcript.pyannote[582].end 4283.81721875
transcript.pyannote[583].speaker SPEAKER_30
transcript.pyannote[583].start 4268.32596875
transcript.pyannote[583].end 4268.47784375
transcript.pyannote[584].speaker SPEAKER_30
transcript.pyannote[584].start 4280.15534375
transcript.pyannote[584].end 4283.39534375
transcript.pyannote[585].speaker SPEAKER_30
transcript.pyannote[585].start 4283.91846875
transcript.pyannote[585].end 4284.25596875
transcript.pyannote[586].speaker SPEAKER_30
transcript.pyannote[586].start 4284.93096875
transcript.pyannote[586].end 4301.70471875
transcript.pyannote[587].speaker SPEAKER_15
transcript.pyannote[587].start 4285.75784375
transcript.pyannote[587].end 4285.90971875
transcript.pyannote[588].speaker SPEAKER_15
transcript.pyannote[588].start 4287.96846875
transcript.pyannote[588].end 4288.49159375
transcript.pyannote[589].speaker SPEAKER_15
transcript.pyannote[589].start 4288.93034375
transcript.pyannote[589].end 4290.16221875
transcript.pyannote[590].speaker SPEAKER_20
transcript.pyannote[590].start 4290.16221875
transcript.pyannote[590].end 4290.17909375
transcript.pyannote[591].speaker SPEAKER_15
transcript.pyannote[591].start 4295.14034375
transcript.pyannote[591].end 4295.62971875
transcript.pyannote[592].speaker SPEAKER_15
transcript.pyannote[592].start 4296.40596875
transcript.pyannote[592].end 4296.64221875
transcript.pyannote[593].speaker SPEAKER_15
transcript.pyannote[593].start 4297.18221875
transcript.pyannote[593].end 4298.48159375
transcript.pyannote[594].speaker SPEAKER_15
transcript.pyannote[594].start 4301.36721875
transcript.pyannote[594].end 4302.00846875
transcript.pyannote[595].speaker SPEAKER_30
transcript.pyannote[595].start 4302.00846875
transcript.pyannote[595].end 4302.02534375
transcript.pyannote[596].speaker SPEAKER_30
transcript.pyannote[596].start 4302.14346875
transcript.pyannote[596].end 4304.72534375
transcript.pyannote[597].speaker SPEAKER_15
transcript.pyannote[597].start 4304.72534375
transcript.pyannote[597].end 4304.86034375
transcript.pyannote[598].speaker SPEAKER_30
transcript.pyannote[598].start 4304.86034375
transcript.pyannote[598].end 4304.87721875
transcript.pyannote[599].speaker SPEAKER_30
transcript.pyannote[599].start 4305.07971875
transcript.pyannote[599].end 4307.05409375
transcript.pyannote[600].speaker SPEAKER_30
transcript.pyannote[600].start 4307.23971875
transcript.pyannote[600].end 4311.34034375
transcript.pyannote[601].speaker SPEAKER_15
transcript.pyannote[601].start 4308.50534375
transcript.pyannote[601].end 4309.26471875
transcript.pyannote[602].speaker SPEAKER_15
transcript.pyannote[602].start 4309.34909375
transcript.pyannote[602].end 4309.36596875
transcript.pyannote[603].speaker SPEAKER_15
transcript.pyannote[603].start 4309.43346875
transcript.pyannote[603].end 4309.45034375
transcript.pyannote[604].speaker SPEAKER_15
transcript.pyannote[604].start 4309.46721875
transcript.pyannote[604].end 4309.51784375
transcript.pyannote[605].speaker SPEAKER_15
transcript.pyannote[605].start 4309.55159375
transcript.pyannote[605].end 4309.56846875
transcript.pyannote[606].speaker SPEAKER_30
transcript.pyannote[606].start 4312.25159375
transcript.pyannote[606].end 4313.02784375
transcript.pyannote[607].speaker SPEAKER_15
transcript.pyannote[607].start 4313.53409375
transcript.pyannote[607].end 4314.58034375
transcript.pyannote[608].speaker SPEAKER_30
transcript.pyannote[608].start 4314.58034375
transcript.pyannote[608].end 4320.52034375
transcript.pyannote[609].speaker SPEAKER_15
transcript.pyannote[609].start 4314.61409375
transcript.pyannote[609].end 4316.16659375
transcript.pyannote[610].speaker SPEAKER_30
transcript.pyannote[610].start 4320.67221875
transcript.pyannote[610].end 4324.13159375
transcript.pyannote[611].speaker SPEAKER_30
transcript.pyannote[611].start 4324.77284375
transcript.pyannote[611].end 4331.16846875
transcript.pyannote[612].speaker SPEAKER_30
transcript.pyannote[612].start 4331.97846875
transcript.pyannote[612].end 4332.73784375
transcript.pyannote[613].speaker SPEAKER_30
transcript.pyannote[613].start 4332.94034375
transcript.pyannote[613].end 4338.27284375
transcript.pyannote[614].speaker SPEAKER_15
transcript.pyannote[614].start 4334.50971875
transcript.pyannote[614].end 4334.71221875
transcript.pyannote[615].speaker SPEAKER_00
transcript.pyannote[615].start 4334.71221875
transcript.pyannote[615].end 4334.76284375
transcript.pyannote[616].speaker SPEAKER_30
transcript.pyannote[616].start 4338.45846875
transcript.pyannote[616].end 4343.48721875
transcript.pyannote[617].speaker SPEAKER_30
transcript.pyannote[617].start 4343.84159375
transcript.pyannote[617].end 4348.61721875
transcript.pyannote[618].speaker SPEAKER_30
transcript.pyannote[618].start 4349.07284375
transcript.pyannote[618].end 4350.69284375
transcript.pyannote[619].speaker SPEAKER_30
transcript.pyannote[619].start 4351.06409375
transcript.pyannote[619].end 4356.80159375
transcript.pyannote[620].speaker SPEAKER_30
transcript.pyannote[620].start 4357.10534375
transcript.pyannote[620].end 4373.28846875
transcript.pyannote[621].speaker SPEAKER_13
transcript.pyannote[621].start 4359.78846875
transcript.pyannote[621].end 4360.17659375
transcript.pyannote[622].speaker SPEAKER_13
transcript.pyannote[622].start 4361.76284375
transcript.pyannote[622].end 4362.21846875
transcript.pyannote[623].speaker SPEAKER_13
transcript.pyannote[623].start 4366.94346875
transcript.pyannote[623].end 4367.43284375
transcript.pyannote[624].speaker SPEAKER_13
transcript.pyannote[624].start 4367.97284375
transcript.pyannote[624].end 4368.19221875
transcript.pyannote[625].speaker SPEAKER_30
transcript.pyannote[625].start 4373.42346875
transcript.pyannote[625].end 4376.44409375
transcript.pyannote[626].speaker SPEAKER_30
transcript.pyannote[626].start 4377.05159375
transcript.pyannote[626].end 4380.44346875
transcript.pyannote[627].speaker SPEAKER_30
transcript.pyannote[627].start 4381.32096875
transcript.pyannote[627].end 4382.72159375
transcript.pyannote[628].speaker SPEAKER_30
transcript.pyannote[628].start 4383.49784375
transcript.pyannote[628].end 4384.03784375
transcript.pyannote[629].speaker SPEAKER_30
transcript.pyannote[629].start 4384.30784375
transcript.pyannote[629].end 4385.42159375
transcript.pyannote[630].speaker SPEAKER_03
transcript.pyannote[630].start 4385.42159375
transcript.pyannote[630].end 4387.78409375
transcript.pyannote[631].speaker SPEAKER_30
transcript.pyannote[631].start 4387.34534375
transcript.pyannote[631].end 4390.87221875
transcript.pyannote[632].speaker SPEAKER_03
transcript.pyannote[632].start 4390.33221875
transcript.pyannote[632].end 4395.15846875
transcript.pyannote[633].speaker SPEAKER_30
transcript.pyannote[633].start 4393.04909375
transcript.pyannote[633].end 4394.73659375
transcript.pyannote[634].speaker SPEAKER_03
transcript.pyannote[634].start 4395.68159375
transcript.pyannote[634].end 4396.96409375
transcript.pyannote[635].speaker SPEAKER_30
transcript.pyannote[635].start 4396.76159375
transcript.pyannote[635].end 4396.84596875
transcript.pyannote[636].speaker SPEAKER_30
transcript.pyannote[636].start 4396.96409375
transcript.pyannote[636].end 4397.92596875
transcript.pyannote[637].speaker SPEAKER_03
transcript.pyannote[637].start 4398.06096875
transcript.pyannote[637].end 4401.84096875
transcript.pyannote[638].speaker SPEAKER_30
transcript.pyannote[638].start 4402.98846875
transcript.pyannote[638].end 4405.08096875
transcript.pyannote[639].speaker SPEAKER_03
transcript.pyannote[639].start 4404.37221875
transcript.pyannote[639].end 4411.03784375
transcript.pyannote[640].speaker SPEAKER_30
transcript.pyannote[640].start 4409.02971875
transcript.pyannote[640].end 4409.36721875
transcript.pyannote[641].speaker SPEAKER_30
transcript.pyannote[641].start 4411.03784375
transcript.pyannote[641].end 4411.27409375
transcript.pyannote[642].speaker SPEAKER_03
transcript.pyannote[642].start 4411.27409375
transcript.pyannote[642].end 4411.35846875
transcript.pyannote[643].speaker SPEAKER_30
transcript.pyannote[643].start 4411.35846875
transcript.pyannote[643].end 4411.69596875
transcript.pyannote[644].speaker SPEAKER_03
transcript.pyannote[644].start 4411.69596875
transcript.pyannote[644].end 4411.88159375
transcript.pyannote[645].speaker SPEAKER_03
transcript.pyannote[645].start 4411.96596875
transcript.pyannote[645].end 4412.06721875
transcript.pyannote[646].speaker SPEAKER_30
transcript.pyannote[646].start 4412.06721875
transcript.pyannote[646].end 4412.97846875
transcript.pyannote[647].speaker SPEAKER_03
transcript.pyannote[647].start 4412.97846875
transcript.pyannote[647].end 4413.13034375
transcript.pyannote[648].speaker SPEAKER_03
transcript.pyannote[648].start 4413.38346875
transcript.pyannote[648].end 4416.43784375
transcript.pyannote[649].speaker SPEAKER_30
transcript.pyannote[649].start 4416.43784375
transcript.pyannote[649].end 4416.45471875
transcript.pyannote[650].speaker SPEAKER_03
transcript.pyannote[650].start 4416.45471875
transcript.pyannote[650].end 4416.52221875
transcript.pyannote[651].speaker SPEAKER_30
transcript.pyannote[651].start 4416.52221875
transcript.pyannote[651].end 4416.53909375
transcript.pyannote[652].speaker SPEAKER_30
transcript.pyannote[652].start 4416.80909375
transcript.pyannote[652].end 4418.27721875
transcript.pyannote[653].speaker SPEAKER_03
transcript.pyannote[653].start 4418.47971875
transcript.pyannote[653].end 4419.03659375
transcript.pyannote[654].speaker SPEAKER_30
transcript.pyannote[654].start 4419.03659375
transcript.pyannote[654].end 4425.95534375
transcript.pyannote[655].speaker SPEAKER_03
transcript.pyannote[655].start 4419.28971875
transcript.pyannote[655].end 4419.66096875
transcript.pyannote[656].speaker SPEAKER_30
transcript.pyannote[656].start 4426.37721875
transcript.pyannote[656].end 4432.21596875
transcript.pyannote[657].speaker SPEAKER_03
transcript.pyannote[657].start 4427.33909375
transcript.pyannote[657].end 4430.12346875
transcript.pyannote[658].speaker SPEAKER_30
transcript.pyannote[658].start 4432.55346875
transcript.pyannote[658].end 4432.95846875
transcript.pyannote[659].speaker SPEAKER_30
transcript.pyannote[659].start 4432.97534375
transcript.pyannote[659].end 4436.26596875
transcript.pyannote[660].speaker SPEAKER_30
transcript.pyannote[660].start 4437.26159375
transcript.pyannote[660].end 4437.75096875
transcript.pyannote[661].speaker SPEAKER_03
transcript.pyannote[661].start 4437.75096875
transcript.pyannote[661].end 4440.92346875
transcript.pyannote[662].speaker SPEAKER_30
transcript.pyannote[662].start 4437.81846875
transcript.pyannote[662].end 4455.31784375
transcript.pyannote[663].speaker SPEAKER_30
transcript.pyannote[663].start 4456.02659375
transcript.pyannote[663].end 4457.98409375
transcript.pyannote[664].speaker SPEAKER_30
transcript.pyannote[664].start 4458.65909375
transcript.pyannote[664].end 4462.16909375
transcript.pyannote[665].speaker SPEAKER_30
transcript.pyannote[665].start 4462.42221875
transcript.pyannote[665].end 4464.68346875
transcript.pyannote[666].speaker SPEAKER_30
transcript.pyannote[666].start 4465.40909375
transcript.pyannote[666].end 4465.79721875
transcript.pyannote[667].speaker SPEAKER_30
transcript.pyannote[667].start 4466.65784375
transcript.pyannote[667].end 4467.60284375
transcript.pyannote[668].speaker SPEAKER_30
transcript.pyannote[668].start 4468.31159375
transcript.pyannote[668].end 4470.18471875
transcript.pyannote[669].speaker SPEAKER_30
transcript.pyannote[669].start 4471.04534375
transcript.pyannote[669].end 4476.00659375
transcript.pyannote[670].speaker SPEAKER_30
transcript.pyannote[670].start 4476.73221875
transcript.pyannote[670].end 4477.99784375
transcript.pyannote[671].speaker SPEAKER_13
transcript.pyannote[671].start 4480.63034375
transcript.pyannote[671].end 4480.90034375
transcript.pyannote[672].speaker SPEAKER_30
transcript.pyannote[672].start 4481.32221875
transcript.pyannote[672].end 4486.55346875
transcript.pyannote[673].speaker SPEAKER_15
transcript.pyannote[673].start 4487.44784375
transcript.pyannote[673].end 4490.09721875
transcript.pyannote[674].speaker SPEAKER_30
transcript.pyannote[674].start 4488.76409375
transcript.pyannote[674].end 4490.70471875
transcript.pyannote[675].speaker SPEAKER_15
transcript.pyannote[675].start 4491.63284375
transcript.pyannote[675].end 4492.35846875
transcript.pyannote[676].speaker SPEAKER_15
transcript.pyannote[676].start 4493.97846875
transcript.pyannote[676].end 4495.56471875
transcript.pyannote[677].speaker SPEAKER_30
transcript.pyannote[677].start 4495.56471875
transcript.pyannote[677].end 4503.07409375
transcript.pyannote[678].speaker SPEAKER_30
transcript.pyannote[678].start 4503.63096875
transcript.pyannote[678].end 4505.80784375
transcript.pyannote[679].speaker SPEAKER_15
transcript.pyannote[679].start 4505.23409375
transcript.pyannote[679].end 4507.05659375
transcript.pyannote[680].speaker SPEAKER_30
transcript.pyannote[680].start 4507.12409375
transcript.pyannote[680].end 4508.74409375
transcript.pyannote[681].speaker SPEAKER_15
transcript.pyannote[681].start 4508.49096875
transcript.pyannote[681].end 4508.89596875
transcript.pyannote[682].speaker SPEAKER_30
transcript.pyannote[682].start 4508.81159375
transcript.pyannote[682].end 4512.45659375
transcript.pyannote[683].speaker SPEAKER_15
transcript.pyannote[683].start 4509.35159375
transcript.pyannote[683].end 4509.72284375
transcript.pyannote[684].speaker SPEAKER_30
transcript.pyannote[684].start 4512.59159375
transcript.pyannote[684].end 4517.43471875
transcript.pyannote[685].speaker SPEAKER_15
transcript.pyannote[685].start 4517.43471875
transcript.pyannote[685].end 4517.68784375
transcript.pyannote[686].speaker SPEAKER_30
transcript.pyannote[686].start 4517.68784375
transcript.pyannote[686].end 4523.66159375
transcript.pyannote[687].speaker SPEAKER_15
transcript.pyannote[687].start 4517.75534375
transcript.pyannote[687].end 4517.83971875
transcript.pyannote[688].speaker SPEAKER_15
transcript.pyannote[688].start 4523.49284375
transcript.pyannote[688].end 4523.57721875
transcript.pyannote[689].speaker SPEAKER_15
transcript.pyannote[689].start 4523.66159375
transcript.pyannote[689].end 4529.33159375
transcript.pyannote[690].speaker SPEAKER_30
transcript.pyannote[690].start 4529.19659375
transcript.pyannote[690].end 4539.99659375
transcript.pyannote[691].speaker SPEAKER_30
transcript.pyannote[691].start 4540.46909375
transcript.pyannote[691].end 4541.73471875
transcript.pyannote[692].speaker SPEAKER_30
transcript.pyannote[692].start 4541.92034375
transcript.pyannote[692].end 4545.07596875
transcript.pyannote[693].speaker SPEAKER_30
transcript.pyannote[693].start 4545.91971875
transcript.pyannote[693].end 4561.69784375
transcript.pyannote[694].speaker SPEAKER_00
transcript.pyannote[694].start 4549.22721875
transcript.pyannote[694].end 4549.51409375
transcript.pyannote[695].speaker SPEAKER_00
transcript.pyannote[695].start 4551.52221875
transcript.pyannote[695].end 4551.64034375
transcript.pyannote[696].speaker SPEAKER_30
transcript.pyannote[696].start 4562.32221875
transcript.pyannote[696].end 4572.19409375
transcript.pyannote[697].speaker SPEAKER_30
transcript.pyannote[697].start 4572.83534375
transcript.pyannote[697].end 4580.27721875
transcript.pyannote[698].speaker SPEAKER_30
transcript.pyannote[698].start 4580.47971875
transcript.pyannote[698].end 4586.14971875
transcript.pyannote[699].speaker SPEAKER_30
transcript.pyannote[699].start 4586.55471875
transcript.pyannote[699].end 4589.96346875
transcript.pyannote[700].speaker SPEAKER_30
transcript.pyannote[700].start 4590.38534375
transcript.pyannote[700].end 4593.27096875
transcript.pyannote[701].speaker SPEAKER_30
transcript.pyannote[701].start 4594.21596875
transcript.pyannote[701].end 4594.62096875
transcript.pyannote[702].speaker SPEAKER_30
transcript.pyannote[702].start 4594.97534375
transcript.pyannote[702].end 4597.50659375
transcript.pyannote[703].speaker SPEAKER_30
transcript.pyannote[703].start 4597.57409375
transcript.pyannote[703].end 4598.18159375
transcript.pyannote[704].speaker SPEAKER_10
transcript.pyannote[704].start 4597.86096875
transcript.pyannote[704].end 4598.46846875
transcript.pyannote[705].speaker SPEAKER_32
transcript.pyannote[705].start 4601.16846875
transcript.pyannote[705].end 4602.78846875
transcript.pyannote[706].speaker SPEAKER_32
transcript.pyannote[706].start 4603.24409375
transcript.pyannote[706].end 4605.50534375
transcript.pyannote[707].speaker SPEAKER_09
transcript.pyannote[707].start 4614.49971875
transcript.pyannote[707].end 4619.02221875
transcript.pyannote[708].speaker SPEAKER_09
transcript.pyannote[708].start 4619.37659375
transcript.pyannote[708].end 4621.19909375
transcript.pyannote[709].speaker SPEAKER_32
transcript.pyannote[709].start 4621.58721875
transcript.pyannote[709].end 4622.68409375
transcript.pyannote[710].speaker SPEAKER_09
transcript.pyannote[710].start 4621.82346875
transcript.pyannote[710].end 4622.59971875
transcript.pyannote[711].speaker SPEAKER_09
transcript.pyannote[711].start 4625.24909375
transcript.pyannote[711].end 4628.91096875
transcript.pyannote[712].speaker SPEAKER_09
transcript.pyannote[712].start 4630.12596875
transcript.pyannote[712].end 4630.64909375
transcript.pyannote[713].speaker SPEAKER_09
transcript.pyannote[713].start 4631.15534375
transcript.pyannote[713].end 4632.74159375
transcript.pyannote[714].speaker SPEAKER_09
transcript.pyannote[714].start 4633.36596875
transcript.pyannote[714].end 4634.78346875
transcript.pyannote[715].speaker SPEAKER_09
transcript.pyannote[715].start 4634.85096875
transcript.pyannote[715].end 4635.98159375
transcript.pyannote[716].speaker SPEAKER_09
transcript.pyannote[716].start 4636.80846875
transcript.pyannote[716].end 4637.71971875
transcript.pyannote[717].speaker SPEAKER_09
transcript.pyannote[717].start 4638.66471875
transcript.pyannote[717].end 4639.30596875
transcript.pyannote[718].speaker SPEAKER_09
transcript.pyannote[718].start 4639.81221875
transcript.pyannote[718].end 4640.63909375
transcript.pyannote[719].speaker SPEAKER_15
transcript.pyannote[719].start 4642.37721875
transcript.pyannote[719].end 4643.27159375
transcript.pyannote[720].speaker SPEAKER_15
transcript.pyannote[720].start 4643.65971875
transcript.pyannote[720].end 4643.96346875
transcript.pyannote[721].speaker SPEAKER_15
transcript.pyannote[721].start 4644.85784375
transcript.pyannote[721].end 4645.21221875
transcript.pyannote[722].speaker SPEAKER_09
transcript.pyannote[722].start 4647.00096875
transcript.pyannote[722].end 4653.61596875
transcript.pyannote[723].speaker SPEAKER_15
transcript.pyannote[723].start 4647.27096875
transcript.pyannote[723].end 4648.45221875
transcript.pyannote[724].speaker SPEAKER_29
transcript.pyannote[724].start 4648.45221875
transcript.pyannote[724].end 4648.46909375
transcript.pyannote[725].speaker SPEAKER_15
transcript.pyannote[725].start 4648.46909375
transcript.pyannote[725].end 4648.48596875
transcript.pyannote[726].speaker SPEAKER_29
transcript.pyannote[726].start 4650.20721875
transcript.pyannote[726].end 4650.96659375
transcript.pyannote[727].speaker SPEAKER_09
transcript.pyannote[727].start 4653.88596875
transcript.pyannote[727].end 4655.99534375
transcript.pyannote[728].speaker SPEAKER_09
transcript.pyannote[728].start 4656.38346875
transcript.pyannote[728].end 4659.53909375
transcript.pyannote[729].speaker SPEAKER_09
transcript.pyannote[729].start 4660.46721875
transcript.pyannote[729].end 4662.89721875
transcript.pyannote[730].speaker SPEAKER_09
transcript.pyannote[730].start 4663.65659375
transcript.pyannote[730].end 4665.71534375
transcript.pyannote[731].speaker SPEAKER_09
transcript.pyannote[731].start 4666.50846875
transcript.pyannote[731].end 4668.39846875
transcript.pyannote[732].speaker SPEAKER_09
transcript.pyannote[732].start 4668.83721875
transcript.pyannote[732].end 4672.92096875
transcript.pyannote[733].speaker SPEAKER_09
transcript.pyannote[733].start 4673.17409375
transcript.pyannote[733].end 4674.16971875
transcript.pyannote[734].speaker SPEAKER_09
transcript.pyannote[734].start 4675.57034375
transcript.pyannote[734].end 4676.09346875
transcript.pyannote[735].speaker SPEAKER_09
transcript.pyannote[735].start 4676.63346875
transcript.pyannote[735].end 4676.92034375
transcript.pyannote[736].speaker SPEAKER_09
transcript.pyannote[736].start 4677.24096875
transcript.pyannote[736].end 4678.97909375
transcript.pyannote[737].speaker SPEAKER_09
transcript.pyannote[737].start 4679.48534375
transcript.pyannote[737].end 4681.02096875
transcript.pyannote[738].speaker SPEAKER_09
transcript.pyannote[738].start 4681.56096875
transcript.pyannote[738].end 4688.15909375
transcript.pyannote[739].speaker SPEAKER_09
transcript.pyannote[739].start 4688.68221875
transcript.pyannote[739].end 4690.52159375
transcript.pyannote[740].speaker SPEAKER_09
transcript.pyannote[740].start 4691.04471875
transcript.pyannote[740].end 4691.53409375
transcript.pyannote[741].speaker SPEAKER_09
transcript.pyannote[741].start 4692.07409375
transcript.pyannote[741].end 4694.45346875
transcript.pyannote[742].speaker SPEAKER_09
transcript.pyannote[742].start 4695.36471875
transcript.pyannote[742].end 4696.14096875
transcript.pyannote[743].speaker SPEAKER_15
transcript.pyannote[743].start 4696.52909375
transcript.pyannote[743].end 4696.84971875
transcript.pyannote[744].speaker SPEAKER_09
transcript.pyannote[744].start 4697.76096875
transcript.pyannote[744].end 4699.44846875
transcript.pyannote[745].speaker SPEAKER_09
transcript.pyannote[745].start 4699.98846875
transcript.pyannote[745].end 4702.62096875
transcript.pyannote[746].speaker SPEAKER_09
transcript.pyannote[746].start 4703.00909375
transcript.pyannote[746].end 4706.08034375
transcript.pyannote[747].speaker SPEAKER_09
transcript.pyannote[747].start 4706.70471875
transcript.pyannote[747].end 4708.47659375
transcript.pyannote[748].speaker SPEAKER_09
transcript.pyannote[748].start 4709.18534375
transcript.pyannote[748].end 4710.48471875
transcript.pyannote[749].speaker SPEAKER_09
transcript.pyannote[749].start 4711.07534375
transcript.pyannote[749].end 4712.10471875
transcript.pyannote[750].speaker SPEAKER_09
transcript.pyannote[750].start 4713.08346875
transcript.pyannote[750].end 4714.66971875
transcript.pyannote[751].speaker SPEAKER_09
transcript.pyannote[751].start 4716.69471875
transcript.pyannote[751].end 4717.72409375
transcript.pyannote[752].speaker SPEAKER_09
transcript.pyannote[752].start 4718.33159375
transcript.pyannote[752].end 4719.17534375
transcript.pyannote[753].speaker SPEAKER_09
transcript.pyannote[753].start 4719.59721875
transcript.pyannote[753].end 4721.63909375
transcript.pyannote[754].speaker SPEAKER_09
transcript.pyannote[754].start 4722.33096875
transcript.pyannote[754].end 4723.32659375
transcript.pyannote[755].speaker SPEAKER_09
transcript.pyannote[755].start 4726.46534375
transcript.pyannote[755].end 4727.52846875
transcript.pyannote[756].speaker SPEAKER_29
transcript.pyannote[756].start 4727.52846875
transcript.pyannote[756].end 4727.76471875
transcript.pyannote[757].speaker SPEAKER_09
transcript.pyannote[757].start 4728.67596875
transcript.pyannote[757].end 4730.90346875
transcript.pyannote[758].speaker SPEAKER_09
transcript.pyannote[758].start 4731.25784375
transcript.pyannote[758].end 4733.58659375
transcript.pyannote[759].speaker SPEAKER_09
transcript.pyannote[759].start 4733.95784375
transcript.pyannote[759].end 4735.03784375
transcript.pyannote[760].speaker SPEAKER_15
transcript.pyannote[760].start 4735.03784375
transcript.pyannote[760].end 4735.99971875
transcript.pyannote[761].speaker SPEAKER_15
transcript.pyannote[761].start 4737.06284375
transcript.pyannote[761].end 4739.81346875
transcript.pyannote[762].speaker SPEAKER_15
transcript.pyannote[762].start 4740.03284375
transcript.pyannote[762].end 4749.51659375
transcript.pyannote[763].speaker SPEAKER_09
transcript.pyannote[763].start 4747.28909375
transcript.pyannote[763].end 4751.49096875
transcript.pyannote[764].speaker SPEAKER_15
transcript.pyannote[764].start 4749.58409375
transcript.pyannote[764].end 4751.33909375
transcript.pyannote[765].speaker SPEAKER_15
transcript.pyannote[765].start 4751.49096875
transcript.pyannote[765].end 4751.50784375
transcript.pyannote[766].speaker SPEAKER_09
transcript.pyannote[766].start 4751.87909375
transcript.pyannote[766].end 4753.56659375
transcript.pyannote[767].speaker SPEAKER_09
transcript.pyannote[767].start 4754.07284375
transcript.pyannote[767].end 4756.21596875
transcript.pyannote[768].speaker SPEAKER_09
transcript.pyannote[768].start 4756.51971875
transcript.pyannote[768].end 4757.73471875
transcript.pyannote[769].speaker SPEAKER_09
transcript.pyannote[769].start 4757.80221875
transcript.pyannote[769].end 4760.41784375
transcript.pyannote[770].speaker SPEAKER_09
transcript.pyannote[770].start 4760.65409375
transcript.pyannote[770].end 4761.70034375
transcript.pyannote[771].speaker SPEAKER_09
transcript.pyannote[771].start 4761.83534375
transcript.pyannote[771].end 4764.83909375
transcript.pyannote[772].speaker SPEAKER_09
transcript.pyannote[772].start 4765.93596875
transcript.pyannote[772].end 4766.71221875
transcript.pyannote[773].speaker SPEAKER_09
transcript.pyannote[773].start 4767.03284375
transcript.pyannote[773].end 4769.22659375
transcript.pyannote[774].speaker SPEAKER_09
transcript.pyannote[774].start 4769.47971875
transcript.pyannote[774].end 4772.23034375
transcript.pyannote[775].speaker SPEAKER_09
transcript.pyannote[775].start 4773.98534375
transcript.pyannote[775].end 4775.14971875
transcript.pyannote[776].speaker SPEAKER_09
transcript.pyannote[776].start 4775.47034375
transcript.pyannote[776].end 4777.02284375
transcript.pyannote[777].speaker SPEAKER_09
transcript.pyannote[777].start 4777.52909375
transcript.pyannote[777].end 4779.90846875
transcript.pyannote[778].speaker SPEAKER_00
transcript.pyannote[778].start 4777.93409375
transcript.pyannote[778].end 4778.35596875
transcript.pyannote[779].speaker SPEAKER_09
transcript.pyannote[779].start 4780.54971875
transcript.pyannote[779].end 4782.37221875
transcript.pyannote[780].speaker SPEAKER_09
transcript.pyannote[780].start 4782.86159375
transcript.pyannote[780].end 4788.56534375
transcript.pyannote[781].speaker SPEAKER_09
transcript.pyannote[781].start 4789.13909375
transcript.pyannote[781].end 4790.38784375
transcript.pyannote[782].speaker SPEAKER_09
transcript.pyannote[782].start 4790.94471875
transcript.pyannote[782].end 4792.12596875
transcript.pyannote[783].speaker SPEAKER_09
transcript.pyannote[783].start 4792.64909375
transcript.pyannote[783].end 4794.28596875
transcript.pyannote[784].speaker SPEAKER_15
transcript.pyannote[784].start 4796.36159375
transcript.pyannote[784].end 4797.40784375
transcript.pyannote[785].speaker SPEAKER_15
transcript.pyannote[785].start 4798.94346875
transcript.pyannote[785].end 4800.10784375
transcript.pyannote[786].speaker SPEAKER_15
transcript.pyannote[786].start 4800.66471875
transcript.pyannote[786].end 4814.01284375
transcript.pyannote[787].speaker SPEAKER_09
transcript.pyannote[787].start 4805.35596875
transcript.pyannote[787].end 4808.88284375
transcript.pyannote[788].speaker SPEAKER_15
transcript.pyannote[788].start 4814.21534375
transcript.pyannote[788].end 4834.14471875
transcript.pyannote[789].speaker SPEAKER_09
transcript.pyannote[789].start 4819.49721875
transcript.pyannote[789].end 4820.08784375
transcript.pyannote[790].speaker SPEAKER_09
transcript.pyannote[790].start 4820.37471875
transcript.pyannote[790].end 4822.99034375
transcript.pyannote[791].speaker SPEAKER_09
transcript.pyannote[791].start 4823.37846875
transcript.pyannote[791].end 4824.03659375
transcript.pyannote[792].speaker SPEAKER_09
transcript.pyannote[792].start 4832.06909375
transcript.pyannote[792].end 4834.00971875
transcript.pyannote[793].speaker SPEAKER_09
transcript.pyannote[793].start 4834.14471875
transcript.pyannote[793].end 4834.66784375
transcript.pyannote[794].speaker SPEAKER_15
transcript.pyannote[794].start 4834.19534375
transcript.pyannote[794].end 4834.63409375
transcript.pyannote[795].speaker SPEAKER_15
transcript.pyannote[795].start 4834.66784375
transcript.pyannote[795].end 4834.83659375
transcript.pyannote[796].speaker SPEAKER_15
transcript.pyannote[796].start 4834.97159375
transcript.pyannote[796].end 4834.98846875
transcript.pyannote[797].speaker SPEAKER_09
transcript.pyannote[797].start 4834.98846875
transcript.pyannote[797].end 4835.00534375
transcript.pyannote[798].speaker SPEAKER_15
transcript.pyannote[798].start 4835.00534375
transcript.pyannote[798].end 4835.03909375
transcript.pyannote[799].speaker SPEAKER_09
transcript.pyannote[799].start 4835.03909375
transcript.pyannote[799].end 4836.76034375
transcript.pyannote[800].speaker SPEAKER_15
transcript.pyannote[800].start 4835.07284375
transcript.pyannote[800].end 4835.61284375
transcript.pyannote[801].speaker SPEAKER_09
transcript.pyannote[801].start 4837.62096875
transcript.pyannote[801].end 4839.25784375
transcript.pyannote[802].speaker SPEAKER_09
transcript.pyannote[802].start 4839.66284375
transcript.pyannote[802].end 4840.13534375
transcript.pyannote[803].speaker SPEAKER_09
transcript.pyannote[803].start 4840.15221875
transcript.pyannote[803].end 4842.75096875
transcript.pyannote[804].speaker SPEAKER_14
transcript.pyannote[804].start 4842.95346875
transcript.pyannote[804].end 4843.24034375
transcript.pyannote[805].speaker SPEAKER_09
transcript.pyannote[805].start 4843.42596875
transcript.pyannote[805].end 4844.69159375
transcript.pyannote[806].speaker SPEAKER_09
transcript.pyannote[806].start 4844.99534375
transcript.pyannote[806].end 4847.81346875
transcript.pyannote[807].speaker SPEAKER_09
transcript.pyannote[807].start 4847.86409375
transcript.pyannote[807].end 4850.64846875
transcript.pyannote[808].speaker SPEAKER_09
transcript.pyannote[808].start 4851.27284375
transcript.pyannote[808].end 4853.68596875
transcript.pyannote[809].speaker SPEAKER_09
transcript.pyannote[809].start 4854.10784375
transcript.pyannote[809].end 4856.21721875
transcript.pyannote[810].speaker SPEAKER_09
transcript.pyannote[810].start 4856.89221875
transcript.pyannote[810].end 4858.14096875
transcript.pyannote[811].speaker SPEAKER_09
transcript.pyannote[811].start 4858.90034375
transcript.pyannote[811].end 4860.08159375
transcript.pyannote[812].speaker SPEAKER_09
transcript.pyannote[812].start 4860.62159375
transcript.pyannote[812].end 4862.05596875
transcript.pyannote[813].speaker SPEAKER_09
transcript.pyannote[813].start 4862.86596875
transcript.pyannote[813].end 4864.92471875
transcript.pyannote[814].speaker SPEAKER_09
transcript.pyannote[814].start 4865.54909375
transcript.pyannote[814].end 4868.14784375
transcript.pyannote[815].speaker SPEAKER_09
transcript.pyannote[815].start 4869.00846875
transcript.pyannote[815].end 4870.20659375
transcript.pyannote[816].speaker SPEAKER_09
transcript.pyannote[816].start 4870.76346875
transcript.pyannote[816].end 4873.49721875
transcript.pyannote[817].speaker SPEAKER_09
transcript.pyannote[817].start 4873.85159375
transcript.pyannote[817].end 4875.35346875
transcript.pyannote[818].speaker SPEAKER_09
transcript.pyannote[818].start 4875.79221875
transcript.pyannote[818].end 4877.34471875
transcript.pyannote[819].speaker SPEAKER_09
transcript.pyannote[819].start 4878.15471875
transcript.pyannote[819].end 4879.92659375
transcript.pyannote[820].speaker SPEAKER_09
transcript.pyannote[820].start 4880.77034375
transcript.pyannote[820].end 4886.69346875
transcript.pyannote[821].speaker SPEAKER_09
transcript.pyannote[821].start 4887.03096875
transcript.pyannote[821].end 4888.61721875
transcript.pyannote[822].speaker SPEAKER_09
transcript.pyannote[822].start 4889.24159375
transcript.pyannote[822].end 4890.57471875
transcript.pyannote[823].speaker SPEAKER_09
transcript.pyannote[823].start 4890.82784375
transcript.pyannote[823].end 4892.21159375
transcript.pyannote[824].speaker SPEAKER_09
transcript.pyannote[824].start 4892.90346875
transcript.pyannote[824].end 4893.46034375
transcript.pyannote[825].speaker SPEAKER_09
transcript.pyannote[825].start 4893.86534375
transcript.pyannote[825].end 4895.87346875
transcript.pyannote[826].speaker SPEAKER_09
transcript.pyannote[826].start 4896.63284375
transcript.pyannote[826].end 4898.92784375
transcript.pyannote[827].speaker SPEAKER_09
transcript.pyannote[827].start 4899.38346875
transcript.pyannote[827].end 4900.73346875
transcript.pyannote[828].speaker SPEAKER_09
transcript.pyannote[828].start 4901.50971875
transcript.pyannote[828].end 4902.70784375
transcript.pyannote[829].speaker SPEAKER_09
transcript.pyannote[829].start 4902.92721875
transcript.pyannote[829].end 4904.14221875
transcript.pyannote[830].speaker SPEAKER_09
transcript.pyannote[830].start 4904.68221875
transcript.pyannote[830].end 4905.54284375
transcript.pyannote[831].speaker SPEAKER_09
transcript.pyannote[831].start 4906.03221875
transcript.pyannote[831].end 4907.93909375
transcript.pyannote[832].speaker SPEAKER_09
transcript.pyannote[832].start 4908.58034375
transcript.pyannote[832].end 4909.54221875
transcript.pyannote[833].speaker SPEAKER_09
transcript.pyannote[833].start 4910.47034375
transcript.pyannote[833].end 4912.42784375
transcript.pyannote[834].speaker SPEAKER_09
transcript.pyannote[834].start 4913.47409375
transcript.pyannote[834].end 4916.00534375
transcript.pyannote[835].speaker SPEAKER_09
transcript.pyannote[835].start 4916.49471875
transcript.pyannote[835].end 4917.77721875
transcript.pyannote[836].speaker SPEAKER_09
transcript.pyannote[836].start 4918.14846875
transcript.pyannote[836].end 4919.75159375
transcript.pyannote[837].speaker SPEAKER_09
transcript.pyannote[837].start 4920.15659375
transcript.pyannote[837].end 4921.03409375
transcript.pyannote[838].speaker SPEAKER_15
transcript.pyannote[838].start 4921.03409375
transcript.pyannote[838].end 4923.81846875
transcript.pyannote[839].speaker SPEAKER_15
transcript.pyannote[839].start 4924.10534375
transcript.pyannote[839].end 4932.18846875
transcript.pyannote[840].speaker SPEAKER_09
transcript.pyannote[840].start 4929.45471875
transcript.pyannote[840].end 4932.13784375
transcript.pyannote[841].speaker SPEAKER_09
transcript.pyannote[841].start 4932.18846875
transcript.pyannote[841].end 4932.89721875
transcript.pyannote[842].speaker SPEAKER_15
transcript.pyannote[842].start 4932.89721875
transcript.pyannote[842].end 4946.54909375
transcript.pyannote[843].speaker SPEAKER_09
transcript.pyannote[843].start 4932.98159375
transcript.pyannote[843].end 4936.01909375
transcript.pyannote[844].speaker SPEAKER_15
transcript.pyannote[844].start 4946.85284375
transcript.pyannote[844].end 4953.94034375
transcript.pyannote[845].speaker SPEAKER_09
transcript.pyannote[845].start 4952.53971875
transcript.pyannote[845].end 4953.19784375
transcript.pyannote[846].speaker SPEAKER_15
transcript.pyannote[846].start 4954.12596875
transcript.pyannote[846].end 4954.15971875
transcript.pyannote[847].speaker SPEAKER_09
transcript.pyannote[847].start 4954.15971875
transcript.pyannote[847].end 4954.17659375
transcript.pyannote[848].speaker SPEAKER_15
transcript.pyannote[848].start 4954.17659375
transcript.pyannote[848].end 4954.51409375
transcript.pyannote[849].speaker SPEAKER_09
transcript.pyannote[849].start 4954.21034375
transcript.pyannote[849].end 4954.41284375
transcript.pyannote[850].speaker SPEAKER_09
transcript.pyannote[850].start 4954.51409375
transcript.pyannote[850].end 4954.61534375
transcript.pyannote[851].speaker SPEAKER_15
transcript.pyannote[851].start 4954.61534375
transcript.pyannote[851].end 4954.96971875
transcript.pyannote[852].speaker SPEAKER_09
transcript.pyannote[852].start 4954.96971875
transcript.pyannote[852].end 4955.25659375
transcript.pyannote[853].speaker SPEAKER_09
transcript.pyannote[853].start 4955.50971875
transcript.pyannote[853].end 4961.68596875
transcript.pyannote[854].speaker SPEAKER_09
transcript.pyannote[854].start 4961.93909375
transcript.pyannote[854].end 4963.12034375
transcript.pyannote[855].speaker SPEAKER_09
transcript.pyannote[855].start 4963.47471875
transcript.pyannote[855].end 4964.62221875
transcript.pyannote[856].speaker SPEAKER_09
transcript.pyannote[856].start 4965.17909375
transcript.pyannote[856].end 4965.97221875
transcript.pyannote[857].speaker SPEAKER_09
transcript.pyannote[857].start 4966.19159375
transcript.pyannote[857].end 4967.17034375
transcript.pyannote[858].speaker SPEAKER_09
transcript.pyannote[858].start 4969.97159375
transcript.pyannote[858].end 4970.83221875
transcript.pyannote[859].speaker SPEAKER_09
transcript.pyannote[859].start 4971.23721875
transcript.pyannote[859].end 4972.26659375
transcript.pyannote[860].speaker SPEAKER_09
transcript.pyannote[860].start 4973.19471875
transcript.pyannote[860].end 4973.68409375
transcript.pyannote[861].speaker SPEAKER_09
transcript.pyannote[861].start 4974.12284375
transcript.pyannote[861].end 4975.35471875
transcript.pyannote[862].speaker SPEAKER_09
transcript.pyannote[862].start 4975.81034375
transcript.pyannote[862].end 4977.36284375
transcript.pyannote[863].speaker SPEAKER_09
transcript.pyannote[863].start 4977.80159375
transcript.pyannote[863].end 4980.11346875
transcript.pyannote[864].speaker SPEAKER_09
transcript.pyannote[864].start 4980.45096875
transcript.pyannote[864].end 4982.67846875
transcript.pyannote[865].speaker SPEAKER_15
transcript.pyannote[865].start 4981.66596875
transcript.pyannote[865].end 4984.21409375
transcript.pyannote[866].speaker SPEAKER_15
transcript.pyannote[866].start 4984.88909375
transcript.pyannote[866].end 4990.96409375
transcript.pyannote[867].speaker SPEAKER_09
transcript.pyannote[867].start 4990.96409375
transcript.pyannote[867].end 4993.03971875
transcript.pyannote[868].speaker SPEAKER_09
transcript.pyannote[868].start 4993.22534375
transcript.pyannote[868].end 4997.81534375
transcript.pyannote[869].speaker SPEAKER_09
transcript.pyannote[869].start 4998.25409375
transcript.pyannote[869].end 5000.44784375
transcript.pyannote[870].speaker SPEAKER_00
transcript.pyannote[870].start 4999.16534375
transcript.pyannote[870].end 4999.46909375
transcript.pyannote[871].speaker SPEAKER_09
transcript.pyannote[871].start 5000.97096875
transcript.pyannote[871].end 5004.44721875
transcript.pyannote[872].speaker SPEAKER_09
transcript.pyannote[872].start 5005.78034375
transcript.pyannote[872].end 5009.64471875
transcript.pyannote[873].speaker SPEAKER_09
transcript.pyannote[873].start 5010.08346875
transcript.pyannote[873].end 5012.81721875
transcript.pyannote[874].speaker SPEAKER_15
transcript.pyannote[874].start 5010.23534375
transcript.pyannote[874].end 5010.58971875
transcript.pyannote[875].speaker SPEAKER_15
transcript.pyannote[875].start 5012.32784375
transcript.pyannote[875].end 5013.34034375
transcript.pyannote[876].speaker SPEAKER_09
transcript.pyannote[876].start 5013.47534375
transcript.pyannote[876].end 5018.18346875
transcript.pyannote[877].speaker SPEAKER_09
transcript.pyannote[877].start 5018.58846875
transcript.pyannote[877].end 5020.29284375
transcript.pyannote[878].speaker SPEAKER_09
transcript.pyannote[878].start 5020.52909375
transcript.pyannote[878].end 5022.14909375
transcript.pyannote[879].speaker SPEAKER_09
transcript.pyannote[879].start 5022.46971875
transcript.pyannote[879].end 5024.84909375
transcript.pyannote[880].speaker SPEAKER_09
transcript.pyannote[880].start 5025.69284375
transcript.pyannote[880].end 5028.46034375
transcript.pyannote[881].speaker SPEAKER_09
transcript.pyannote[881].start 5028.86534375
transcript.pyannote[881].end 5032.52721875
transcript.pyannote[882].speaker SPEAKER_09
transcript.pyannote[882].start 5032.71284375
transcript.pyannote[882].end 5040.07034375
transcript.pyannote[883].speaker SPEAKER_09
transcript.pyannote[883].start 5040.62721875
transcript.pyannote[883].end 5042.14596875
transcript.pyannote[884].speaker SPEAKER_15
transcript.pyannote[884].start 5041.36971875
transcript.pyannote[884].end 5043.05721875
transcript.pyannote[885].speaker SPEAKER_09
transcript.pyannote[885].start 5043.44534375
transcript.pyannote[885].end 5047.41096875
transcript.pyannote[886].speaker SPEAKER_15
transcript.pyannote[886].start 5043.56346875
transcript.pyannote[886].end 5044.22159375
transcript.pyannote[887].speaker SPEAKER_09
transcript.pyannote[887].start 5049.08159375
transcript.pyannote[887].end 5051.34284375
transcript.pyannote[888].speaker SPEAKER_09
transcript.pyannote[888].start 5052.16971875
transcript.pyannote[888].end 5053.31721875
transcript.pyannote[889].speaker SPEAKER_09
transcript.pyannote[889].start 5054.27909375
transcript.pyannote[889].end 5057.73846875
transcript.pyannote[890].speaker SPEAKER_09
transcript.pyannote[890].start 5057.77221875
transcript.pyannote[890].end 5059.00409375
transcript.pyannote[891].speaker SPEAKER_09
transcript.pyannote[891].start 5059.44284375
transcript.pyannote[891].end 5060.84346875
transcript.pyannote[892].speaker SPEAKER_09
transcript.pyannote[892].start 5061.24846875
transcript.pyannote[892].end 5066.15909375
transcript.pyannote[893].speaker SPEAKER_09
transcript.pyannote[893].start 5066.69909375
transcript.pyannote[893].end 5068.50471875
transcript.pyannote[894].speaker SPEAKER_15
transcript.pyannote[894].start 5068.50471875
transcript.pyannote[894].end 5075.96346875
transcript.pyannote[895].speaker SPEAKER_09
transcript.pyannote[895].start 5070.88409375
transcript.pyannote[895].end 5073.12846875
transcript.pyannote[896].speaker SPEAKER_09
transcript.pyannote[896].start 5075.96346875
transcript.pyannote[896].end 5081.86971875
transcript.pyannote[897].speaker SPEAKER_09
transcript.pyannote[897].start 5081.97096875
transcript.pyannote[897].end 5083.97909375
transcript.pyannote[898].speaker SPEAKER_09
transcript.pyannote[898].start 5084.73846875
transcript.pyannote[898].end 5086.05471875
transcript.pyannote[899].speaker SPEAKER_09
transcript.pyannote[899].start 5086.12221875
transcript.pyannote[899].end 5089.76721875
transcript.pyannote[900].speaker SPEAKER_09
transcript.pyannote[900].start 5090.15534375
transcript.pyannote[900].end 5092.33221875
transcript.pyannote[901].speaker SPEAKER_09
transcript.pyannote[901].start 5092.66971875
transcript.pyannote[901].end 5094.28971875
transcript.pyannote[902].speaker SPEAKER_09
transcript.pyannote[902].start 5094.66096875
transcript.pyannote[902].end 5098.55909375
transcript.pyannote[903].speaker SPEAKER_09
transcript.pyannote[903].start 5099.18346875
transcript.pyannote[903].end 5102.18721875
transcript.pyannote[904].speaker SPEAKER_09
transcript.pyannote[904].start 5102.42346875
transcript.pyannote[904].end 5113.07159375
transcript.pyannote[905].speaker SPEAKER_15
transcript.pyannote[905].start 5105.56221875
transcript.pyannote[905].end 5107.50284375
transcript.pyannote[906].speaker SPEAKER_15
transcript.pyannote[906].start 5110.40534375
transcript.pyannote[906].end 5110.42221875
transcript.pyannote[907].speaker SPEAKER_34
transcript.pyannote[907].start 5110.42221875
transcript.pyannote[907].end 5110.92846875
transcript.pyannote[908].speaker SPEAKER_34
transcript.pyannote[908].start 5114.97846875
transcript.pyannote[908].end 5115.33284375
transcript.pyannote[909].speaker SPEAKER_34
transcript.pyannote[909].start 5117.03721875
transcript.pyannote[909].end 5131.41471875
transcript.pyannote[910].speaker SPEAKER_00
transcript.pyannote[910].start 5119.66971875
transcript.pyannote[910].end 5120.09159375
transcript.pyannote[911].speaker SPEAKER_08
transcript.pyannote[911].start 5139.61596875
transcript.pyannote[911].end 5144.79659375
transcript.pyannote[912].speaker SPEAKER_34
transcript.pyannote[912].start 5146.90596875
transcript.pyannote[912].end 5148.91409375
transcript.pyannote[913].speaker SPEAKER_15
transcript.pyannote[913].start 5154.85409375
transcript.pyannote[913].end 5154.87096875
transcript.pyannote[914].speaker SPEAKER_08
transcript.pyannote[914].start 5154.87096875
transcript.pyannote[914].end 5155.36034375
transcript.pyannote[915].speaker SPEAKER_15
transcript.pyannote[915].start 5155.36034375
transcript.pyannote[915].end 5155.37721875
transcript.pyannote[916].speaker SPEAKER_15
transcript.pyannote[916].start 5155.64721875
transcript.pyannote[916].end 5155.66409375
transcript.pyannote[917].speaker SPEAKER_29
transcript.pyannote[917].start 5155.66409375
transcript.pyannote[917].end 5155.76534375
transcript.pyannote[918].speaker SPEAKER_15
transcript.pyannote[918].start 5155.76534375
transcript.pyannote[918].end 5155.81596875
transcript.pyannote[919].speaker SPEAKER_08
transcript.pyannote[919].start 5156.45721875
transcript.pyannote[919].end 5156.89596875
transcript.pyannote[920].speaker SPEAKER_08
transcript.pyannote[920].start 5157.45284375
transcript.pyannote[920].end 5163.78096875
transcript.pyannote[921].speaker SPEAKER_08
transcript.pyannote[921].start 5164.74284375
transcript.pyannote[921].end 5166.02534375
transcript.pyannote[922].speaker SPEAKER_15
transcript.pyannote[922].start 5166.02534375
transcript.pyannote[922].end 5166.53159375
transcript.pyannote[923].speaker SPEAKER_15
transcript.pyannote[923].start 5167.45971875
transcript.pyannote[923].end 5168.03346875
transcript.pyannote[924].speaker SPEAKER_15
transcript.pyannote[924].start 5168.55659375
transcript.pyannote[924].end 5170.22721875
transcript.pyannote[925].speaker SPEAKER_15
transcript.pyannote[925].start 5170.61534375
transcript.pyannote[925].end 5172.40409375
transcript.pyannote[926].speaker SPEAKER_15
transcript.pyannote[926].start 5172.64034375
transcript.pyannote[926].end 5183.82846875
transcript.pyannote[927].speaker SPEAKER_08
transcript.pyannote[927].start 5180.87534375
transcript.pyannote[927].end 5190.78096875
transcript.pyannote[928].speaker SPEAKER_15
transcript.pyannote[928].start 5184.23346875
transcript.pyannote[928].end 5186.37659375
transcript.pyannote[929].speaker SPEAKER_08
transcript.pyannote[929].start 5191.11846875
transcript.pyannote[929].end 5201.31096875
transcript.pyannote[930].speaker SPEAKER_08
transcript.pyannote[930].start 5201.81721875
transcript.pyannote[930].end 5207.84159375
transcript.pyannote[931].speaker SPEAKER_08
transcript.pyannote[931].start 5208.87096875
transcript.pyannote[931].end 5211.03096875
transcript.pyannote[932].speaker SPEAKER_15
transcript.pyannote[932].start 5211.03096875
transcript.pyannote[932].end 5212.33034375
transcript.pyannote[933].speaker SPEAKER_15
transcript.pyannote[933].start 5213.41034375
transcript.pyannote[933].end 5219.60346875
transcript.pyannote[934].speaker SPEAKER_15
transcript.pyannote[934].start 5220.12659375
transcript.pyannote[934].end 5220.59909375
transcript.pyannote[935].speaker SPEAKER_15
transcript.pyannote[935].start 5220.86909375
transcript.pyannote[935].end 5230.28534375
transcript.pyannote[936].speaker SPEAKER_08
transcript.pyannote[936].start 5229.01971875
transcript.pyannote[936].end 5230.31909375
transcript.pyannote[937].speaker SPEAKER_15
transcript.pyannote[937].start 5230.31909375
transcript.pyannote[937].end 5232.61409375
transcript.pyannote[938].speaker SPEAKER_15
transcript.pyannote[938].start 5232.68159375
transcript.pyannote[938].end 5234.57159375
transcript.pyannote[939].speaker SPEAKER_15
transcript.pyannote[939].start 5235.06096875
transcript.pyannote[939].end 5237.91284375
transcript.pyannote[940].speaker SPEAKER_15
transcript.pyannote[940].start 5238.30096875
transcript.pyannote[940].end 5239.46534375
transcript.pyannote[941].speaker SPEAKER_15
transcript.pyannote[941].start 5240.05596875
transcript.pyannote[941].end 5242.80659375
transcript.pyannote[942].speaker SPEAKER_15
transcript.pyannote[942].start 5243.12721875
transcript.pyannote[942].end 5253.04971875
transcript.pyannote[943].speaker SPEAKER_08
transcript.pyannote[943].start 5253.04971875
transcript.pyannote[943].end 5253.18471875
transcript.pyannote[944].speaker SPEAKER_13
transcript.pyannote[944].start 5253.18471875
transcript.pyannote[944].end 5253.30284375
transcript.pyannote[945].speaker SPEAKER_08
transcript.pyannote[945].start 5253.89346875
transcript.pyannote[945].end 5266.44846875
transcript.pyannote[946].speaker SPEAKER_08
transcript.pyannote[946].start 5267.34284375
transcript.pyannote[946].end 5290.20846875
transcript.pyannote[947].speaker SPEAKER_15
transcript.pyannote[947].start 5289.33096875
transcript.pyannote[947].end 5290.41096875
transcript.pyannote[948].speaker SPEAKER_08
transcript.pyannote[948].start 5290.41096875
transcript.pyannote[948].end 5290.57971875
transcript.pyannote[949].speaker SPEAKER_08
transcript.pyannote[949].start 5290.61346875
transcript.pyannote[949].end 5294.03909375
transcript.pyannote[950].speaker SPEAKER_15
transcript.pyannote[950].start 5290.69784375
transcript.pyannote[950].end 5293.14471875
transcript.pyannote[951].speaker SPEAKER_15
transcript.pyannote[951].start 5294.03909375
transcript.pyannote[951].end 5303.33721875
transcript.pyannote[952].speaker SPEAKER_08
transcript.pyannote[952].start 5295.77721875
transcript.pyannote[952].end 5296.40159375
transcript.pyannote[953].speaker SPEAKER_08
transcript.pyannote[953].start 5301.29534375
transcript.pyannote[953].end 5316.12846875
transcript.pyannote[954].speaker SPEAKER_08
transcript.pyannote[954].start 5316.31409375
transcript.pyannote[954].end 5321.69721875
transcript.pyannote[955].speaker SPEAKER_08
transcript.pyannote[955].start 5321.95034375
transcript.pyannote[955].end 5322.37221875
transcript.pyannote[956].speaker SPEAKER_15
transcript.pyannote[956].start 5325.25784375
transcript.pyannote[956].end 5329.66221875
transcript.pyannote[957].speaker SPEAKER_15
transcript.pyannote[957].start 5330.01659375
transcript.pyannote[957].end 5335.26471875
transcript.pyannote[958].speaker SPEAKER_08
transcript.pyannote[958].start 5332.93596875
transcript.pyannote[958].end 5347.68471875
transcript.pyannote[959].speaker SPEAKER_08
transcript.pyannote[959].start 5348.20784375
transcript.pyannote[959].end 5361.25221875
transcript.pyannote[960].speaker SPEAKER_08
transcript.pyannote[960].start 5361.60659375
transcript.pyannote[960].end 5364.74534375
transcript.pyannote[961].speaker SPEAKER_08
transcript.pyannote[961].start 5366.09534375
transcript.pyannote[961].end 5372.49096875
transcript.pyannote[962].speaker SPEAKER_00
transcript.pyannote[962].start 5366.23034375
transcript.pyannote[962].end 5366.56784375
transcript.pyannote[963].speaker SPEAKER_13
transcript.pyannote[963].start 5366.56784375
transcript.pyannote[963].end 5367.73221875
transcript.pyannote[964].speaker SPEAKER_00
transcript.pyannote[964].start 5367.73221875
transcript.pyannote[964].end 5367.93471875
transcript.pyannote[965].speaker SPEAKER_08
transcript.pyannote[965].start 5373.19971875
transcript.pyannote[965].end 5375.91659375
transcript.pyannote[966].speaker SPEAKER_15
transcript.pyannote[966].start 5375.54534375
transcript.pyannote[966].end 5391.96471875
transcript.pyannote[967].speaker SPEAKER_08
transcript.pyannote[967].start 5388.06659375
transcript.pyannote[967].end 5391.01971875
transcript.pyannote[968].speaker SPEAKER_08
transcript.pyannote[968].start 5391.96471875
transcript.pyannote[968].end 5405.86971875
transcript.pyannote[969].speaker SPEAKER_15
transcript.pyannote[969].start 5392.35284375
transcript.pyannote[969].end 5394.19221875
transcript.pyannote[970].speaker SPEAKER_29
transcript.pyannote[970].start 5397.12846875
transcript.pyannote[970].end 5397.93846875
transcript.pyannote[971].speaker SPEAKER_08
transcript.pyannote[971].start 5407.43909375
transcript.pyannote[971].end 5427.72284375
transcript.pyannote[972].speaker SPEAKER_00
transcript.pyannote[972].start 5411.52284375
transcript.pyannote[972].end 5412.92346875
transcript.pyannote[973].speaker SPEAKER_00
transcript.pyannote[973].start 5414.88096875
transcript.pyannote[973].end 5418.37409375
transcript.pyannote[974].speaker SPEAKER_08
transcript.pyannote[974].start 5427.92534375
transcript.pyannote[974].end 5441.20596875
transcript.pyannote[975].speaker SPEAKER_08
transcript.pyannote[975].start 5441.45909375
transcript.pyannote[975].end 5445.94784375
transcript.pyannote[976].speaker SPEAKER_08
transcript.pyannote[976].start 5446.53846875
transcript.pyannote[976].end 5447.75346875
transcript.pyannote[977].speaker SPEAKER_08
transcript.pyannote[977].start 5448.25971875
transcript.pyannote[977].end 5449.33971875
transcript.pyannote[978].speaker SPEAKER_08
transcript.pyannote[978].start 5449.74471875
transcript.pyannote[978].end 5454.80721875
transcript.pyannote[979].speaker SPEAKER_08
transcript.pyannote[979].start 5455.38096875
transcript.pyannote[979].end 5469.04971875
transcript.pyannote[980].speaker SPEAKER_08
transcript.pyannote[980].start 5469.48846875
transcript.pyannote[980].end 5470.50096875
transcript.pyannote[981].speaker SPEAKER_15
transcript.pyannote[981].start 5471.81721875
transcript.pyannote[981].end 5472.84659375
transcript.pyannote[982].speaker SPEAKER_15
transcript.pyannote[982].start 5472.96471875
transcript.pyannote[982].end 5475.88409375
transcript.pyannote[983].speaker SPEAKER_15
transcript.pyannote[983].start 5476.05284375
transcript.pyannote[983].end 5476.87971875
transcript.pyannote[984].speaker SPEAKER_15
transcript.pyannote[984].start 5477.06534375
transcript.pyannote[984].end 5480.33909375
transcript.pyannote[985].speaker SPEAKER_15
transcript.pyannote[985].start 5481.38534375
transcript.pyannote[985].end 5490.44721875
transcript.pyannote[986].speaker SPEAKER_08
transcript.pyannote[986].start 5483.27534375
transcript.pyannote[986].end 5483.52846875
transcript.pyannote[987].speaker SPEAKER_08
transcript.pyannote[987].start 5484.50721875
transcript.pyannote[987].end 5486.00909375
transcript.pyannote[988].speaker SPEAKER_15
transcript.pyannote[988].start 5490.73409375
transcript.pyannote[988].end 5496.11721875
transcript.pyannote[989].speaker SPEAKER_15
transcript.pyannote[989].start 5496.26909375
transcript.pyannote[989].end 5500.38659375
transcript.pyannote[990].speaker SPEAKER_08
transcript.pyannote[990].start 5500.38659375
transcript.pyannote[990].end 5508.18284375
transcript.pyannote[991].speaker SPEAKER_08
transcript.pyannote[991].start 5508.90846875
transcript.pyannote[991].end 5514.67971875
transcript.pyannote[992].speaker SPEAKER_08
transcript.pyannote[992].start 5514.84846875
transcript.pyannote[992].end 5516.94096875
transcript.pyannote[993].speaker SPEAKER_08
transcript.pyannote[993].start 5517.22784375
transcript.pyannote[993].end 5519.11784375
transcript.pyannote[994].speaker SPEAKER_08
transcript.pyannote[994].start 5519.38784375
transcript.pyannote[994].end 5523.53909375
transcript.pyannote[995].speaker SPEAKER_08
transcript.pyannote[995].start 5523.70784375
transcript.pyannote[995].end 5526.03659375
transcript.pyannote[996].speaker SPEAKER_08
transcript.pyannote[996].start 5526.64409375
transcript.pyannote[996].end 5533.36034375
transcript.pyannote[997].speaker SPEAKER_08
transcript.pyannote[997].start 5533.66409375
transcript.pyannote[997].end 5537.02221875
transcript.pyannote[998].speaker SPEAKER_08
transcript.pyannote[998].start 5537.88284375
transcript.pyannote[998].end 5540.51534375
transcript.pyannote[999].speaker SPEAKER_08
transcript.pyannote[999].start 5541.62909375
transcript.pyannote[999].end 5544.43034375
transcript.pyannote[1000].speaker SPEAKER_08
transcript.pyannote[1000].start 5546.08409375
transcript.pyannote[1000].end 5546.52284375
transcript.pyannote[1001].speaker SPEAKER_08
transcript.pyannote[1001].start 5547.43409375
transcript.pyannote[1001].end 5552.19284375
transcript.pyannote[1002].speaker SPEAKER_08
transcript.pyannote[1002].start 5552.76659375
transcript.pyannote[1002].end 5556.20909375
transcript.pyannote[1003].speaker SPEAKER_08
transcript.pyannote[1003].start 5557.15409375
transcript.pyannote[1003].end 5560.51221875
transcript.pyannote[1004].speaker SPEAKER_08
transcript.pyannote[1004].start 5561.06909375
transcript.pyannote[1004].end 5562.89159375
transcript.pyannote[1005].speaker SPEAKER_08
transcript.pyannote[1005].start 5563.00971875
transcript.pyannote[1005].end 5567.36346875
transcript.pyannote[1006].speaker SPEAKER_14
transcript.pyannote[1006].start 5568.66284375
transcript.pyannote[1006].end 5569.38846875
transcript.pyannote[1007].speaker SPEAKER_08
transcript.pyannote[1007].start 5568.91596875
transcript.pyannote[1007].end 5569.77659375
transcript.pyannote[1008].speaker SPEAKER_08
transcript.pyannote[1008].start 5569.99596875
transcript.pyannote[1008].end 5571.02534375
transcript.pyannote[1009].speaker SPEAKER_14
transcript.pyannote[1009].start 5570.23221875
transcript.pyannote[1009].end 5570.46846875
transcript.pyannote[1010].speaker SPEAKER_15
transcript.pyannote[1010].start 5571.02534375
transcript.pyannote[1010].end 5572.62846875
transcript.pyannote[1011].speaker SPEAKER_14
transcript.pyannote[1011].start 5572.05471875
transcript.pyannote[1011].end 5574.60284375
transcript.pyannote[1012].speaker SPEAKER_15
transcript.pyannote[1012].start 5573.11784375
transcript.pyannote[1012].end 5577.31971875
transcript.pyannote[1013].speaker SPEAKER_15
transcript.pyannote[1013].start 5577.53909375
transcript.pyannote[1013].end 5589.45284375
transcript.pyannote[1014].speaker SPEAKER_08
transcript.pyannote[1014].start 5582.66909375
transcript.pyannote[1014].end 5597.06346875
transcript.pyannote[1015].speaker SPEAKER_15
transcript.pyannote[1015].start 5593.82346875
transcript.pyannote[1015].end 5599.61159375
transcript.pyannote[1016].speaker SPEAKER_08
transcript.pyannote[1016].start 5597.73846875
transcript.pyannote[1016].end 5602.56471875
transcript.pyannote[1017].speaker SPEAKER_15
transcript.pyannote[1017].start 5601.53534375
transcript.pyannote[1017].end 5602.96971875
transcript.pyannote[1018].speaker SPEAKER_08
transcript.pyannote[1018].start 5602.96971875
transcript.pyannote[1018].end 5614.79909375
transcript.pyannote[1019].speaker SPEAKER_15
transcript.pyannote[1019].start 5603.39159375
transcript.pyannote[1019].end 5603.77971875
transcript.pyannote[1020].speaker SPEAKER_15
transcript.pyannote[1020].start 5606.47971875
transcript.pyannote[1020].end 5606.59784375
transcript.pyannote[1021].speaker SPEAKER_15
transcript.pyannote[1021].start 5607.42471875
transcript.pyannote[1021].end 5609.33159375
transcript.pyannote[1022].speaker SPEAKER_08
transcript.pyannote[1022].start 5615.71034375
transcript.pyannote[1022].end 5620.67159375
transcript.pyannote[1023].speaker SPEAKER_00
transcript.pyannote[1023].start 5617.02659375
transcript.pyannote[1023].end 5617.93784375
transcript.pyannote[1024].speaker SPEAKER_08
transcript.pyannote[1024].start 5621.12721875
transcript.pyannote[1024].end 5645.98409375
transcript.pyannote[1025].speaker SPEAKER_08
transcript.pyannote[1025].start 5646.27096875
transcript.pyannote[1025].end 5658.08346875
transcript.pyannote[1026].speaker SPEAKER_00
transcript.pyannote[1026].start 5651.80596875
transcript.pyannote[1026].end 5652.43034375
transcript.pyannote[1027].speaker SPEAKER_08
transcript.pyannote[1027].start 5658.20159375
transcript.pyannote[1027].end 5664.49596875
transcript.pyannote[1028].speaker SPEAKER_15
transcript.pyannote[1028].start 5661.67784375
transcript.pyannote[1028].end 5662.04909375
transcript.pyannote[1029].speaker SPEAKER_15
transcript.pyannote[1029].start 5663.70284375
transcript.pyannote[1029].end 5678.09721875
transcript.pyannote[1030].speaker SPEAKER_08
transcript.pyannote[1030].start 5675.22846875
transcript.pyannote[1030].end 5682.26534375
transcript.pyannote[1031].speaker SPEAKER_15
transcript.pyannote[1031].start 5678.33346875
transcript.pyannote[1031].end 5679.44721875
transcript.pyannote[1032].speaker SPEAKER_15
transcript.pyannote[1032].start 5681.15159375
transcript.pyannote[1032].end 5687.39534375
transcript.pyannote[1033].speaker SPEAKER_08
transcript.pyannote[1033].start 5684.50971875
transcript.pyannote[1033].end 5692.28909375
transcript.pyannote[1034].speaker SPEAKER_08
transcript.pyannote[1034].start 5692.62659375
transcript.pyannote[1034].end 5694.16221875
transcript.pyannote[1035].speaker SPEAKER_08
transcript.pyannote[1035].start 5694.36471875
transcript.pyannote[1035].end 5694.85409375
transcript.pyannote[1036].speaker SPEAKER_08
transcript.pyannote[1036].start 5695.39409375
transcript.pyannote[1036].end 5720.20034375
transcript.pyannote[1037].speaker SPEAKER_15
transcript.pyannote[1037].start 5695.42784375
transcript.pyannote[1037].end 5696.30534375
transcript.pyannote[1038].speaker SPEAKER_15
transcript.pyannote[1038].start 5696.52471875
transcript.pyannote[1038].end 5699.62971875
transcript.pyannote[1039].speaker SPEAKER_00
transcript.pyannote[1039].start 5716.45409375
transcript.pyannote[1039].end 5718.02346875
transcript.pyannote[1040].speaker SPEAKER_08
transcript.pyannote[1040].start 5720.55471875
transcript.pyannote[1040].end 5725.46534375
transcript.pyannote[1041].speaker SPEAKER_08
transcript.pyannote[1041].start 5725.63409375
transcript.pyannote[1041].end 5740.51784375
transcript.pyannote[1042].speaker SPEAKER_00
transcript.pyannote[1042].start 5727.16971875
transcript.pyannote[1042].end 5727.59159375
transcript.pyannote[1043].speaker SPEAKER_00
transcript.pyannote[1043].start 5732.80596875
transcript.pyannote[1043].end 5732.92409375
transcript.pyannote[1044].speaker SPEAKER_29
transcript.pyannote[1044].start 5732.92409375
transcript.pyannote[1044].end 5733.05909375
transcript.pyannote[1045].speaker SPEAKER_00
transcript.pyannote[1045].start 5733.05909375
transcript.pyannote[1045].end 5733.17721875
transcript.pyannote[1046].speaker SPEAKER_08
transcript.pyannote[1046].start 5740.65284375
transcript.pyannote[1046].end 5741.53034375
transcript.pyannote[1047].speaker SPEAKER_08
transcript.pyannote[1047].start 5741.71596875
transcript.pyannote[1047].end 5753.83221875
transcript.pyannote[1048].speaker SPEAKER_00
transcript.pyannote[1048].start 5744.61846875
transcript.pyannote[1048].end 5744.87159375
transcript.pyannote[1049].speaker SPEAKER_00
transcript.pyannote[1049].start 5749.19159375
transcript.pyannote[1049].end 5749.54596875
transcript.pyannote[1050].speaker SPEAKER_08
transcript.pyannote[1050].start 5754.20346875
transcript.pyannote[1050].end 5777.22096875
transcript.pyannote[1051].speaker SPEAKER_08
transcript.pyannote[1051].start 5778.11534375
transcript.pyannote[1051].end 5783.63346875
transcript.pyannote[1052].speaker SPEAKER_08
transcript.pyannote[1052].start 5784.79784375
transcript.pyannote[1052].end 5786.14784375
transcript.pyannote[1053].speaker SPEAKER_08
transcript.pyannote[1053].start 5786.48534375
transcript.pyannote[1053].end 5792.54346875
transcript.pyannote[1054].speaker SPEAKER_08
transcript.pyannote[1054].start 5792.88096875
transcript.pyannote[1054].end 5797.06596875
transcript.pyannote[1055].speaker SPEAKER_08
transcript.pyannote[1055].start 5797.35284375
transcript.pyannote[1055].end 5809.99221875
transcript.pyannote[1056].speaker SPEAKER_08
transcript.pyannote[1056].start 5810.34659375
transcript.pyannote[1056].end 5815.83096875
transcript.pyannote[1057].speaker SPEAKER_14
transcript.pyannote[1057].start 5812.38846875
transcript.pyannote[1057].end 5812.40534375
transcript.pyannote[1058].speaker SPEAKER_34
transcript.pyannote[1058].start 5812.40534375
transcript.pyannote[1058].end 5814.27846875
transcript.pyannote[1059].speaker SPEAKER_15
transcript.pyannote[1059].start 5814.27846875
transcript.pyannote[1059].end 5814.46409375
transcript.pyannote[1060].speaker SPEAKER_15
transcript.pyannote[1060].start 5815.83096875
transcript.pyannote[1060].end 5815.84784375
transcript.pyannote[1061].speaker SPEAKER_15
transcript.pyannote[1061].start 5815.89846875
transcript.pyannote[1061].end 5815.91534375
transcript.pyannote[1062].speaker SPEAKER_08
transcript.pyannote[1062].start 5815.91534375
transcript.pyannote[1062].end 5834.54534375
transcript.pyannote[1063].speaker SPEAKER_15
transcript.pyannote[1063].start 5815.96596875
transcript.pyannote[1063].end 5820.30284375
transcript.pyannote[1064].speaker SPEAKER_15
transcript.pyannote[1064].start 5821.75409375
transcript.pyannote[1064].end 5822.96909375
transcript.pyannote[1065].speaker SPEAKER_00
transcript.pyannote[1065].start 5824.11659375
transcript.pyannote[1065].end 5825.16284375
transcript.pyannote[1066].speaker SPEAKER_00
transcript.pyannote[1066].start 5827.69409375
transcript.pyannote[1066].end 5827.76159375
transcript.pyannote[1067].speaker SPEAKER_13
transcript.pyannote[1067].start 5827.76159375
transcript.pyannote[1067].end 5827.77846875
transcript.pyannote[1068].speaker SPEAKER_34
transcript.pyannote[1068].start 5827.77846875
transcript.pyannote[1068].end 5827.79534375
transcript.pyannote[1069].speaker SPEAKER_13
transcript.pyannote[1069].start 5827.79534375
transcript.pyannote[1069].end 5827.86284375
transcript.pyannote[1070].speaker SPEAKER_34
transcript.pyannote[1070].start 5827.86284375
transcript.pyannote[1070].end 5828.89221875
transcript.pyannote[1071].speaker SPEAKER_00
transcript.pyannote[1071].start 5828.89221875
transcript.pyannote[1071].end 5828.92596875
transcript.pyannote[1072].speaker SPEAKER_34
transcript.pyannote[1072].start 5831.52471875
transcript.pyannote[1072].end 5832.75659375
transcript.pyannote[1073].speaker SPEAKER_34
transcript.pyannote[1073].start 5834.54534375
transcript.pyannote[1073].end 5839.77659375
transcript.pyannote[1074].speaker SPEAKER_34
transcript.pyannote[1074].start 5842.52721875
transcript.pyannote[1074].end 5844.40034375
transcript.pyannote[1075].speaker SPEAKER_07
transcript.pyannote[1075].start 5852.16284375
transcript.pyannote[1075].end 5859.40221875
transcript.pyannote[1076].speaker SPEAKER_34
transcript.pyannote[1076].start 5859.75659375
transcript.pyannote[1076].end 5861.14034375
transcript.pyannote[1077].speaker SPEAKER_34
transcript.pyannote[1077].start 5861.37659375
transcript.pyannote[1077].end 5861.95034375
transcript.pyannote[1078].speaker SPEAKER_07
transcript.pyannote[1078].start 5875.70346875
transcript.pyannote[1078].end 5897.65784375
transcript.pyannote[1079].speaker SPEAKER_26
transcript.pyannote[1079].start 5885.91284375
transcript.pyannote[1079].end 5886.03096875
transcript.pyannote[1080].speaker SPEAKER_03
transcript.pyannote[1080].start 5901.28596875
transcript.pyannote[1080].end 5906.82096875
transcript.pyannote[1081].speaker SPEAKER_07
transcript.pyannote[1081].start 5906.46659375
transcript.pyannote[1081].end 5907.78284375
transcript.pyannote[1082].speaker SPEAKER_03
transcript.pyannote[1082].start 5908.77846875
transcript.pyannote[1082].end 5910.33096875
transcript.pyannote[1083].speaker SPEAKER_03
transcript.pyannote[1083].start 5910.48284375
transcript.pyannote[1083].end 5913.14909375
transcript.pyannote[1084].speaker SPEAKER_07
transcript.pyannote[1084].start 5913.06471875
transcript.pyannote[1084].end 5913.55409375
transcript.pyannote[1085].speaker SPEAKER_07
transcript.pyannote[1085].start 5913.68909375
transcript.pyannote[1085].end 5913.97596875
transcript.pyannote[1086].speaker SPEAKER_03
transcript.pyannote[1086].start 5913.97596875
transcript.pyannote[1086].end 5914.02659375
transcript.pyannote[1087].speaker SPEAKER_07
transcript.pyannote[1087].start 5914.02659375
transcript.pyannote[1087].end 5922.83534375
transcript.pyannote[1088].speaker SPEAKER_03
transcript.pyannote[1088].start 5924.16846875
transcript.pyannote[1088].end 5926.29471875
transcript.pyannote[1089].speaker SPEAKER_07
transcript.pyannote[1089].start 5926.39596875
transcript.pyannote[1089].end 5944.04721875
transcript.pyannote[1090].speaker SPEAKER_07
transcript.pyannote[1090].start 5944.11471875
transcript.pyannote[1090].end 5959.77471875
transcript.pyannote[1091].speaker SPEAKER_03
transcript.pyannote[1091].start 5960.39909375
transcript.pyannote[1091].end 5973.64596875
transcript.pyannote[1092].speaker SPEAKER_00
transcript.pyannote[1092].start 5972.05971875
transcript.pyannote[1092].end 5972.48159375
transcript.pyannote[1093].speaker SPEAKER_03
transcript.pyannote[1093].start 5973.96659375
transcript.pyannote[1093].end 5982.97784375
transcript.pyannote[1094].speaker SPEAKER_07
transcript.pyannote[1094].start 5981.56034375
transcript.pyannote[1094].end 5989.64346875
transcript.pyannote[1095].speaker SPEAKER_03
transcript.pyannote[1095].start 5984.04096875
transcript.pyannote[1095].end 5985.61034375
transcript.pyannote[1096].speaker SPEAKER_07
transcript.pyannote[1096].start 5989.94721875
transcript.pyannote[1096].end 6021.50346875
transcript.pyannote[1097].speaker SPEAKER_03
transcript.pyannote[1097].start 5989.98096875
transcript.pyannote[1097].end 5990.48721875
transcript.pyannote[1098].speaker SPEAKER_00
transcript.pyannote[1098].start 6013.47096875
transcript.pyannote[1098].end 6013.50471875
transcript.pyannote[1099].speaker SPEAKER_03
transcript.pyannote[1099].start 6013.50471875
transcript.pyannote[1099].end 6013.79159375
transcript.pyannote[1100].speaker SPEAKER_03
transcript.pyannote[1100].start 6021.75659375
transcript.pyannote[1100].end 6034.17659375
transcript.pyannote[1101].speaker SPEAKER_03
transcript.pyannote[1101].start 6034.24409375
transcript.pyannote[1101].end 6038.26034375
transcript.pyannote[1102].speaker SPEAKER_03
transcript.pyannote[1102].start 6038.68221875
transcript.pyannote[1102].end 6041.63534375
transcript.pyannote[1103].speaker SPEAKER_07
transcript.pyannote[1103].start 6041.63534375
transcript.pyannote[1103].end 6047.17034375
transcript.pyannote[1104].speaker SPEAKER_03
transcript.pyannote[1104].start 6045.48284375
transcript.pyannote[1104].end 6048.06471875
transcript.pyannote[1105].speaker SPEAKER_07
transcript.pyannote[1105].start 6048.14909375
transcript.pyannote[1105].end 6059.75909375
transcript.pyannote[1106].speaker SPEAKER_15
transcript.pyannote[1106].start 6060.28221875
transcript.pyannote[1106].end 6060.73784375
transcript.pyannote[1107].speaker SPEAKER_15
transcript.pyannote[1107].start 6061.81784375
transcript.pyannote[1107].end 6071.53784375
transcript.pyannote[1108].speaker SPEAKER_07
transcript.pyannote[1108].start 6066.18846875
transcript.pyannote[1108].end 6069.17534375
transcript.pyannote[1109].speaker SPEAKER_15
transcript.pyannote[1109].start 6071.79096875
transcript.pyannote[1109].end 6075.95909375
transcript.pyannote[1110].speaker SPEAKER_15
transcript.pyannote[1110].start 6076.24596875
transcript.pyannote[1110].end 6078.30471875
transcript.pyannote[1111].speaker SPEAKER_15
transcript.pyannote[1111].start 6078.69284375
transcript.pyannote[1111].end 6081.71346875
transcript.pyannote[1112].speaker SPEAKER_07
transcript.pyannote[1112].start 6079.23284375
transcript.pyannote[1112].end 6079.57034375
transcript.pyannote[1113].speaker SPEAKER_07
transcript.pyannote[1113].start 6080.38034375
transcript.pyannote[1113].end 6085.02096875
transcript.pyannote[1114].speaker SPEAKER_15
transcript.pyannote[1114].start 6086.23596875
transcript.pyannote[1114].end 6088.98659375
transcript.pyannote[1115].speaker SPEAKER_15
transcript.pyannote[1115].start 6089.32409375
transcript.pyannote[1115].end 6090.70784375
transcript.pyannote[1116].speaker SPEAKER_15
transcript.pyannote[1116].start 6090.75846875
transcript.pyannote[1116].end 6093.23909375
transcript.pyannote[1117].speaker SPEAKER_15
transcript.pyannote[1117].start 6093.28971875
transcript.pyannote[1117].end 6096.81659375
transcript.pyannote[1118].speaker SPEAKER_15
transcript.pyannote[1118].start 6097.20471875
transcript.pyannote[1118].end 6099.68534375
transcript.pyannote[1119].speaker SPEAKER_15
transcript.pyannote[1119].start 6099.83721875
transcript.pyannote[1119].end 6104.20784375
transcript.pyannote[1120].speaker SPEAKER_07
transcript.pyannote[1120].start 6104.27534375
transcript.pyannote[1120].end 6104.49471875
transcript.pyannote[1121].speaker SPEAKER_07
transcript.pyannote[1121].start 6104.96721875
transcript.pyannote[1121].end 6111.48096875
transcript.pyannote[1122].speaker SPEAKER_03
transcript.pyannote[1122].start 6112.02096875
transcript.pyannote[1122].end 6112.54409375
transcript.pyannote[1123].speaker SPEAKER_03
transcript.pyannote[1123].start 6112.64534375
transcript.pyannote[1123].end 6120.98159375
transcript.pyannote[1124].speaker SPEAKER_03
transcript.pyannote[1124].start 6120.99846875
transcript.pyannote[1124].end 6122.16284375
transcript.pyannote[1125].speaker SPEAKER_03
transcript.pyannote[1125].start 6122.43284375
transcript.pyannote[1125].end 6127.86659375
transcript.pyannote[1126].speaker SPEAKER_07
transcript.pyannote[1126].start 6127.19159375
transcript.pyannote[1126].end 6128.08596875
transcript.pyannote[1127].speaker SPEAKER_03
transcript.pyannote[1127].start 6128.77784375
transcript.pyannote[1127].end 6131.49471875
transcript.pyannote[1128].speaker SPEAKER_07
transcript.pyannote[1128].start 6131.78159375
transcript.pyannote[1128].end 6138.27846875
transcript.pyannote[1129].speaker SPEAKER_03
transcript.pyannote[1129].start 6136.70909375
transcript.pyannote[1129].end 6140.86034375
transcript.pyannote[1130].speaker SPEAKER_07
transcript.pyannote[1130].start 6138.54846875
transcript.pyannote[1130].end 6142.69971875
transcript.pyannote[1131].speaker SPEAKER_03
transcript.pyannote[1131].start 6141.95721875
transcript.pyannote[1131].end 6146.24346875
transcript.pyannote[1132].speaker SPEAKER_07
transcript.pyannote[1132].start 6143.27346875
transcript.pyannote[1132].end 6144.65721875
transcript.pyannote[1133].speaker SPEAKER_07
transcript.pyannote[1133].start 6145.39971875
transcript.pyannote[1133].end 6179.94284375
transcript.pyannote[1134].speaker SPEAKER_03
transcript.pyannote[1134].start 6150.88409375
transcript.pyannote[1134].end 6150.91784375
transcript.pyannote[1135].speaker SPEAKER_02
transcript.pyannote[1135].start 6180.04409375
transcript.pyannote[1135].end 6190.52346875
transcript.pyannote[1136].speaker SPEAKER_02
transcript.pyannote[1136].start 6190.97909375
transcript.pyannote[1136].end 6195.45096875
transcript.pyannote[1137].speaker SPEAKER_07
transcript.pyannote[1137].start 6194.75909375
transcript.pyannote[1137].end 6201.25596875
transcript.pyannote[1138].speaker SPEAKER_02
transcript.pyannote[1138].start 6200.32784375
transcript.pyannote[1138].end 6221.70846875
transcript.pyannote[1139].speaker SPEAKER_07
transcript.pyannote[1139].start 6204.15846875
transcript.pyannote[1139].end 6204.41159375
transcript.pyannote[1140].speaker SPEAKER_07
transcript.pyannote[1140].start 6205.49159375
transcript.pyannote[1140].end 6209.47409375
transcript.pyannote[1141].speaker SPEAKER_07
transcript.pyannote[1141].start 6211.60034375
transcript.pyannote[1141].end 6211.85346875
transcript.pyannote[1142].speaker SPEAKER_07
transcript.pyannote[1142].start 6216.19034375
transcript.pyannote[1142].end 6227.88471875
transcript.pyannote[1143].speaker SPEAKER_07
transcript.pyannote[1143].start 6227.98596875
transcript.pyannote[1143].end 6231.95159375
transcript.pyannote[1144].speaker SPEAKER_07
transcript.pyannote[1144].start 6232.27221875
transcript.pyannote[1144].end 6235.52909375
transcript.pyannote[1145].speaker SPEAKER_07
transcript.pyannote[1145].start 6235.74846875
transcript.pyannote[1145].end 6286.37346875
transcript.pyannote[1146].speaker SPEAKER_15
transcript.pyannote[1146].start 6286.91346875
transcript.pyannote[1146].end 6287.40284375
transcript.pyannote[1147].speaker SPEAKER_15
transcript.pyannote[1147].start 6287.70659375
transcript.pyannote[1147].end 6301.71284375
transcript.pyannote[1148].speaker SPEAKER_07
transcript.pyannote[1148].start 6290.62596875
transcript.pyannote[1148].end 6293.35971875
transcript.pyannote[1149].speaker SPEAKER_07
transcript.pyannote[1149].start 6298.01721875
transcript.pyannote[1149].end 6309.40784375
transcript.pyannote[1150].speaker SPEAKER_15
transcript.pyannote[1150].start 6308.71596875
transcript.pyannote[1150].end 6311.75346875
transcript.pyannote[1151].speaker SPEAKER_15
transcript.pyannote[1151].start 6311.85471875
transcript.pyannote[1151].end 6329.74221875
transcript.pyannote[1152].speaker SPEAKER_07
transcript.pyannote[1152].start 6327.21096875
transcript.pyannote[1152].end 6363.77909375
transcript.pyannote[1153].speaker SPEAKER_15
transcript.pyannote[1153].start 6338.33159375
transcript.pyannote[1153].end 6339.51284375
transcript.pyannote[1154].speaker SPEAKER_18
transcript.pyannote[1154].start 6369.21284375
transcript.pyannote[1154].end 6369.80346875
transcript.pyannote[1155].speaker SPEAKER_07
transcript.pyannote[1155].start 6369.90471875
transcript.pyannote[1155].end 6370.83284375
transcript.pyannote[1156].speaker SPEAKER_07
transcript.pyannote[1156].start 6371.49096875
transcript.pyannote[1156].end 6405.89909375
transcript.pyannote[1157].speaker SPEAKER_18
transcript.pyannote[1157].start 6406.35471875
transcript.pyannote[1157].end 6422.97659375
transcript.pyannote[1158].speaker SPEAKER_07
transcript.pyannote[1158].start 6412.71659375
transcript.pyannote[1158].end 6412.90221875
transcript.pyannote[1159].speaker SPEAKER_07
transcript.pyannote[1159].start 6419.93909375
transcript.pyannote[1159].end 6425.89596875
transcript.pyannote[1160].speaker SPEAKER_18
transcript.pyannote[1160].start 6425.74409375
transcript.pyannote[1160].end 6427.70159375
transcript.pyannote[1161].speaker SPEAKER_18
transcript.pyannote[1161].start 6427.92096875
transcript.pyannote[1161].end 6432.61221875
transcript.pyannote[1162].speaker SPEAKER_07
transcript.pyannote[1162].start 6430.33409375
transcript.pyannote[1162].end 6434.45159375
transcript.pyannote[1163].speaker SPEAKER_18
transcript.pyannote[1163].start 6432.94971875
transcript.pyannote[1163].end 6433.70909375
transcript.pyannote[1164].speaker SPEAKER_18
transcript.pyannote[1164].start 6433.92846875
transcript.pyannote[1164].end 6434.38409375
transcript.pyannote[1165].speaker SPEAKER_18
transcript.pyannote[1165].start 6434.45159375
transcript.pyannote[1165].end 6434.46846875
transcript.pyannote[1166].speaker SPEAKER_07
transcript.pyannote[1166].start 6434.46846875
transcript.pyannote[1166].end 6459.13971875
transcript.pyannote[1167].speaker SPEAKER_18
transcript.pyannote[1167].start 6434.48534375
transcript.pyannote[1167].end 6434.51909375
transcript.pyannote[1168].speaker SPEAKER_18
transcript.pyannote[1168].start 6439.58159375
transcript.pyannote[1168].end 6439.96971875
transcript.pyannote[1169].speaker SPEAKER_29
transcript.pyannote[1169].start 6439.96971875
transcript.pyannote[1169].end 6441.58971875
transcript.pyannote[1170].speaker SPEAKER_00
transcript.pyannote[1170].start 6441.58971875
transcript.pyannote[1170].end 6441.70784375
transcript.pyannote[1171].speaker SPEAKER_29
transcript.pyannote[1171].start 6459.37596875
transcript.pyannote[1171].end 6461.02971875
transcript.pyannote[1172].speaker SPEAKER_07
transcript.pyannote[1172].start 6460.18596875
transcript.pyannote[1172].end 6465.97409375
transcript.pyannote[1173].speaker SPEAKER_18
transcript.pyannote[1173].start 6461.02971875
transcript.pyannote[1173].end 6461.14784375
transcript.pyannote[1174].speaker SPEAKER_29
transcript.pyannote[1174].start 6461.14784375
transcript.pyannote[1174].end 6461.19846875
transcript.pyannote[1175].speaker SPEAKER_18
transcript.pyannote[1175].start 6461.19846875
transcript.pyannote[1175].end 6461.21534375
transcript.pyannote[1176].speaker SPEAKER_29
transcript.pyannote[1176].start 6461.21534375
transcript.pyannote[1176].end 6461.23221875
transcript.pyannote[1177].speaker SPEAKER_18
transcript.pyannote[1177].start 6461.23221875
transcript.pyannote[1177].end 6461.28284375
transcript.pyannote[1178].speaker SPEAKER_18
transcript.pyannote[1178].start 6465.02909375
transcript.pyannote[1178].end 6502.81221875
transcript.pyannote[1179].speaker SPEAKER_14
transcript.pyannote[1179].start 6474.86721875
transcript.pyannote[1179].end 6475.27221875
transcript.pyannote[1180].speaker SPEAKER_07
transcript.pyannote[1180].start 6487.05096875
transcript.pyannote[1180].end 6489.29534375
transcript.pyannote[1181].speaker SPEAKER_07
transcript.pyannote[1181].start 6499.62284375
transcript.pyannote[1181].end 6499.63971875
transcript.pyannote[1182].speaker SPEAKER_07
transcript.pyannote[1182].start 6499.69034375
transcript.pyannote[1182].end 6499.70721875
transcript.pyannote[1183].speaker SPEAKER_07
transcript.pyannote[1183].start 6499.75784375
transcript.pyannote[1183].end 6499.89284375
transcript.pyannote[1184].speaker SPEAKER_07
transcript.pyannote[1184].start 6500.16284375
transcript.pyannote[1184].end 6513.20721875
transcript.pyannote[1185].speaker SPEAKER_07
transcript.pyannote[1185].start 6515.18159375
transcript.pyannote[1185].end 6521.47596875
transcript.pyannote[1186].speaker SPEAKER_29
transcript.pyannote[1186].start 6515.21534375
transcript.pyannote[1186].end 6515.23221875
transcript.pyannote[1187].speaker SPEAKER_29
transcript.pyannote[1187].start 6515.24909375
transcript.pyannote[1187].end 6515.35034375
transcript.pyannote[1188].speaker SPEAKER_33
transcript.pyannote[1188].start 6515.35034375
transcript.pyannote[1188].end 6515.46846875
transcript.pyannote[1189].speaker SPEAKER_29
transcript.pyannote[1189].start 6515.46846875
transcript.pyannote[1189].end 6515.58659375
transcript.pyannote[1190].speaker SPEAKER_33
transcript.pyannote[1190].start 6515.58659375
transcript.pyannote[1190].end 6515.63721875
transcript.pyannote[1191].speaker SPEAKER_33
transcript.pyannote[1191].start 6522.25221875
transcript.pyannote[1191].end 6530.09909375
transcript.pyannote[1192].speaker SPEAKER_07
transcript.pyannote[1192].start 6530.30159375
transcript.pyannote[1192].end 6541.86096875
transcript.pyannote[1193].speaker SPEAKER_07
transcript.pyannote[1193].start 6542.02971875
transcript.pyannote[1193].end 6544.81409375
transcript.pyannote[1194].speaker SPEAKER_07
transcript.pyannote[1194].start 6545.37096875
transcript.pyannote[1194].end 6551.80034375
transcript.pyannote[1195].speaker SPEAKER_33
transcript.pyannote[1195].start 6552.03659375
transcript.pyannote[1195].end 6567.98346875
transcript.pyannote[1196].speaker SPEAKER_07
transcript.pyannote[1196].start 6556.50846875
transcript.pyannote[1196].end 6559.44471875
transcript.pyannote[1197].speaker SPEAKER_07
transcript.pyannote[1197].start 6566.98784375
transcript.pyannote[1197].end 6604.02846875
transcript.pyannote[1198].speaker SPEAKER_33
transcript.pyannote[1198].start 6604.02846875
transcript.pyannote[1198].end 6604.61909375
transcript.pyannote[1199].speaker SPEAKER_34
transcript.pyannote[1199].start 6605.54721875
transcript.pyannote[1199].end 6610.35659375
transcript.pyannote[1200].speaker SPEAKER_32
transcript.pyannote[1200].start 6615.97596875
transcript.pyannote[1200].end 6624.02534375
transcript.pyannote[1201].speaker SPEAKER_34
transcript.pyannote[1201].start 6624.53159375
transcript.pyannote[1201].end 6627.07971875
transcript.pyannote[1202].speaker SPEAKER_32
transcript.pyannote[1202].start 6633.22221875
transcript.pyannote[1202].end 6634.03221875
transcript.pyannote[1203].speaker SPEAKER_18
transcript.pyannote[1203].start 6634.03221875
transcript.pyannote[1203].end 6634.55534375
transcript.pyannote[1204].speaker SPEAKER_32
transcript.pyannote[1204].start 6634.84221875
transcript.pyannote[1204].end 6636.27659375
transcript.pyannote[1205].speaker SPEAKER_32
transcript.pyannote[1205].start 6639.21284375
transcript.pyannote[1205].end 6641.30534375
transcript.pyannote[1206].speaker SPEAKER_32
transcript.pyannote[1206].start 6641.86221875
transcript.pyannote[1206].end 6644.51159375
transcript.pyannote[1207].speaker SPEAKER_32
transcript.pyannote[1207].start 6644.81534375
transcript.pyannote[1207].end 6646.13159375
transcript.pyannote[1208].speaker SPEAKER_32
transcript.pyannote[1208].start 6646.50284375
transcript.pyannote[1208].end 6649.40534375
transcript.pyannote[1209].speaker SPEAKER_32
transcript.pyannote[1209].start 6649.91159375
transcript.pyannote[1209].end 6673.94159375
transcript.pyannote[1210].speaker SPEAKER_14
transcript.pyannote[1210].start 6674.75159375
transcript.pyannote[1210].end 6675.96659375
transcript.pyannote[1211].speaker SPEAKER_32
transcript.pyannote[1211].start 6675.15659375
transcript.pyannote[1211].end 6677.26596875
transcript.pyannote[1212].speaker SPEAKER_15
transcript.pyannote[1212].start 6675.96659375
transcript.pyannote[1212].end 6675.98346875
transcript.pyannote[1213].speaker SPEAKER_14
transcript.pyannote[1213].start 6676.84409375
transcript.pyannote[1213].end 6677.50221875
transcript.pyannote[1214].speaker SPEAKER_32
transcript.pyannote[1214].start 6677.50221875
transcript.pyannote[1214].end 6680.86034375
transcript.pyannote[1215].speaker SPEAKER_15
transcript.pyannote[1215].start 6677.51909375
transcript.pyannote[1215].end 6677.56971875
transcript.pyannote[1216].speaker SPEAKER_32
transcript.pyannote[1216].start 6681.53534375
transcript.pyannote[1216].end 6682.58159375
transcript.pyannote[1217].speaker SPEAKER_15
transcript.pyannote[1217].start 6681.68721875
transcript.pyannote[1217].end 6681.83909375
transcript.pyannote[1218].speaker SPEAKER_15
transcript.pyannote[1218].start 6683.15534375
transcript.pyannote[1218].end 6685.43346875
transcript.pyannote[1219].speaker SPEAKER_15
transcript.pyannote[1219].start 6685.66971875
transcript.pyannote[1219].end 6687.08721875
transcript.pyannote[1220].speaker SPEAKER_15
transcript.pyannote[1220].start 6687.32346875
transcript.pyannote[1220].end 6690.69846875
transcript.pyannote[1221].speaker SPEAKER_15
transcript.pyannote[1221].start 6690.83346875
transcript.pyannote[1221].end 6692.16659375
transcript.pyannote[1222].speaker SPEAKER_15
transcript.pyannote[1222].start 6692.33534375
transcript.pyannote[1222].end 6693.41534375
transcript.pyannote[1223].speaker SPEAKER_15
transcript.pyannote[1223].start 6694.05659375
transcript.pyannote[1223].end 6694.51221875
transcript.pyannote[1224].speaker SPEAKER_15
transcript.pyannote[1224].start 6695.06909375
transcript.pyannote[1224].end 6695.54159375
transcript.pyannote[1225].speaker SPEAKER_15
transcript.pyannote[1225].start 6696.30096875
transcript.pyannote[1225].end 6696.60471875
transcript.pyannote[1226].speaker SPEAKER_15
transcript.pyannote[1226].start 6697.07721875
transcript.pyannote[1226].end 6699.28784375
transcript.pyannote[1227].speaker SPEAKER_32
transcript.pyannote[1227].start 6697.12784375
transcript.pyannote[1227].end 6699.22034375
transcript.pyannote[1228].speaker SPEAKER_32
transcript.pyannote[1228].start 6699.52409375
transcript.pyannote[1228].end 6706.45971875
transcript.pyannote[1229].speaker SPEAKER_13
transcript.pyannote[1229].start 6702.35909375
transcript.pyannote[1229].end 6702.39284375
transcript.pyannote[1230].speaker SPEAKER_32
transcript.pyannote[1230].start 6706.86471875
transcript.pyannote[1230].end 6708.88971875
transcript.pyannote[1231].speaker SPEAKER_32
transcript.pyannote[1231].start 6709.39596875
transcript.pyannote[1231].end 6715.99409375
transcript.pyannote[1232].speaker SPEAKER_13
transcript.pyannote[1232].start 6716.14596875
transcript.pyannote[1232].end 6716.46659375
transcript.pyannote[1233].speaker SPEAKER_32
transcript.pyannote[1233].start 6716.82096875
transcript.pyannote[1233].end 6719.23409375
transcript.pyannote[1234].speaker SPEAKER_13
transcript.pyannote[1234].start 6719.95971875
transcript.pyannote[1234].end 6720.61784375
transcript.pyannote[1235].speaker SPEAKER_32
transcript.pyannote[1235].start 6721.22534375
transcript.pyannote[1235].end 6725.10659375
transcript.pyannote[1236].speaker SPEAKER_13
transcript.pyannote[1236].start 6722.92971875
transcript.pyannote[1236].end 6723.84096875
transcript.pyannote[1237].speaker SPEAKER_13
transcript.pyannote[1237].start 6725.00534375
transcript.pyannote[1237].end 6725.08971875
transcript.pyannote[1238].speaker SPEAKER_13
transcript.pyannote[1238].start 6725.10659375
transcript.pyannote[1238].end 6725.29221875
transcript.pyannote[1239].speaker SPEAKER_32
transcript.pyannote[1239].start 6725.29221875
transcript.pyannote[1239].end 6731.50221875
transcript.pyannote[1240].speaker SPEAKER_32
transcript.pyannote[1240].start 6731.78909375
transcript.pyannote[1240].end 6741.07034375
transcript.pyannote[1241].speaker SPEAKER_00
transcript.pyannote[1241].start 6732.86909375
transcript.pyannote[1241].end 6733.35846875
transcript.pyannote[1242].speaker SPEAKER_32
transcript.pyannote[1242].start 6741.93096875
transcript.pyannote[1242].end 6758.28284375
transcript.pyannote[1243].speaker SPEAKER_29
transcript.pyannote[1243].start 6746.77409375
transcript.pyannote[1243].end 6747.17909375
transcript.pyannote[1244].speaker SPEAKER_18
transcript.pyannote[1244].start 6749.57534375
transcript.pyannote[1244].end 6749.79471875
transcript.pyannote[1245].speaker SPEAKER_18
transcript.pyannote[1245].start 6753.08534375
transcript.pyannote[1245].end 6753.18659375
transcript.pyannote[1246].speaker SPEAKER_18
transcript.pyannote[1246].start 6758.48534375
transcript.pyannote[1246].end 6765.70784375
transcript.pyannote[1247].speaker SPEAKER_32
transcript.pyannote[1247].start 6763.48034375
transcript.pyannote[1247].end 6766.02846875
transcript.pyannote[1248].speaker SPEAKER_18
transcript.pyannote[1248].start 6766.28159375
transcript.pyannote[1248].end 6768.71159375
transcript.pyannote[1249].speaker SPEAKER_32
transcript.pyannote[1249].start 6769.43721875
transcript.pyannote[1249].end 6777.30096875
transcript.pyannote[1250].speaker SPEAKER_18
transcript.pyannote[1250].start 6771.93471875
transcript.pyannote[1250].end 6775.84971875
transcript.pyannote[1251].speaker SPEAKER_18
transcript.pyannote[1251].start 6776.17034375
transcript.pyannote[1251].end 6776.40659375
transcript.pyannote[1252].speaker SPEAKER_18
transcript.pyannote[1252].start 6776.45721875
transcript.pyannote[1252].end 6790.49721875
transcript.pyannote[1253].speaker SPEAKER_32
transcript.pyannote[1253].start 6782.46471875
transcript.pyannote[1253].end 6785.92409375
transcript.pyannote[1254].speaker SPEAKER_32
transcript.pyannote[1254].start 6787.56096875
transcript.pyannote[1254].end 6789.36659375
transcript.pyannote[1255].speaker SPEAKER_32
transcript.pyannote[1255].start 6790.02471875
transcript.pyannote[1255].end 6798.12471875
transcript.pyannote[1256].speaker SPEAKER_18
transcript.pyannote[1256].start 6792.15096875
transcript.pyannote[1256].end 6792.96096875
transcript.pyannote[1257].speaker SPEAKER_18
transcript.pyannote[1257].start 6798.76596875
transcript.pyannote[1257].end 6804.84096875
transcript.pyannote[1258].speaker SPEAKER_32
transcript.pyannote[1258].start 6802.03971875
transcript.pyannote[1258].end 6803.06909375
transcript.pyannote[1259].speaker SPEAKER_32
transcript.pyannote[1259].start 6803.84534375
transcript.pyannote[1259].end 6811.37159375
transcript.pyannote[1260].speaker SPEAKER_18
transcript.pyannote[1260].start 6805.93784375
transcript.pyannote[1260].end 6806.27534375
transcript.pyannote[1261].speaker SPEAKER_18
transcript.pyannote[1261].start 6806.29221875
transcript.pyannote[1261].end 6806.30909375
transcript.pyannote[1262].speaker SPEAKER_18
transcript.pyannote[1262].start 6810.86534375
transcript.pyannote[1262].end 6815.21909375
transcript.pyannote[1263].speaker SPEAKER_32
transcript.pyannote[1263].start 6812.75534375
transcript.pyannote[1263].end 6820.41659375
transcript.pyannote[1264].speaker SPEAKER_18
transcript.pyannote[1264].start 6815.80971875
transcript.pyannote[1264].end 6816.09659375
transcript.pyannote[1265].speaker SPEAKER_18
transcript.pyannote[1265].start 6820.04534375
transcript.pyannote[1265].end 6832.02659375
transcript.pyannote[1266].speaker SPEAKER_32
transcript.pyannote[1266].start 6821.81721875
transcript.pyannote[1266].end 6822.15471875
transcript.pyannote[1267].speaker SPEAKER_32
transcript.pyannote[1267].start 6831.38534375
transcript.pyannote[1267].end 6837.47721875
transcript.pyannote[1268].speaker SPEAKER_18
transcript.pyannote[1268].start 6834.99659375
transcript.pyannote[1268].end 6835.85721875
transcript.pyannote[1269].speaker SPEAKER_32
transcript.pyannote[1269].start 6837.62909375
transcript.pyannote[1269].end 6850.35284375
transcript.pyannote[1270].speaker SPEAKER_15
transcript.pyannote[1270].start 6850.35284375
transcript.pyannote[1270].end 6851.44971875
transcript.pyannote[1271].speaker SPEAKER_32
transcript.pyannote[1271].start 6851.56784375
transcript.pyannote[1271].end 6854.11596875
transcript.pyannote[1272].speaker SPEAKER_15
transcript.pyannote[1272].start 6852.05721875
transcript.pyannote[1272].end 6852.42846875
transcript.pyannote[1273].speaker SPEAKER_32
transcript.pyannote[1273].start 6854.50409375
transcript.pyannote[1273].end 6860.42721875
transcript.pyannote[1274].speaker SPEAKER_15
transcript.pyannote[1274].start 6861.37221875
transcript.pyannote[1274].end 6861.89534375
transcript.pyannote[1275].speaker SPEAKER_15
transcript.pyannote[1275].start 6862.19909375
transcript.pyannote[1275].end 6865.40534375
transcript.pyannote[1276].speaker SPEAKER_15
transcript.pyannote[1276].start 6865.62471875
transcript.pyannote[1276].end 6868.15596875
transcript.pyannote[1277].speaker SPEAKER_32
transcript.pyannote[1277].start 6866.82284375
transcript.pyannote[1277].end 6878.11221875
transcript.pyannote[1278].speaker SPEAKER_15
transcript.pyannote[1278].start 6870.83909375
transcript.pyannote[1278].end 6871.14284375
transcript.pyannote[1279].speaker SPEAKER_15
transcript.pyannote[1279].start 6874.45034375
transcript.pyannote[1279].end 6875.07471875
transcript.pyannote[1280].speaker SPEAKER_15
transcript.pyannote[1280].start 6878.26409375
transcript.pyannote[1280].end 6880.27221875
transcript.pyannote[1281].speaker SPEAKER_15
transcript.pyannote[1281].start 6880.52534375
transcript.pyannote[1281].end 6881.11596875
transcript.pyannote[1282].speaker SPEAKER_15
transcript.pyannote[1282].start 6881.74034375
transcript.pyannote[1282].end 6884.30534375
transcript.pyannote[1283].speaker SPEAKER_32
transcript.pyannote[1283].start 6884.59221875
transcript.pyannote[1283].end 6885.35159375
transcript.pyannote[1284].speaker SPEAKER_15
transcript.pyannote[1284].start 6887.20784375
transcript.pyannote[1284].end 6890.56596875
transcript.pyannote[1285].speaker SPEAKER_15
transcript.pyannote[1285].start 6891.19034375
transcript.pyannote[1285].end 6895.25721875
transcript.pyannote[1286].speaker SPEAKER_32
transcript.pyannote[1286].start 6895.56096875
transcript.pyannote[1286].end 6899.57721875
transcript.pyannote[1287].speaker SPEAKER_15
transcript.pyannote[1287].start 6897.02909375
transcript.pyannote[1287].end 6898.26096875
transcript.pyannote[1288].speaker SPEAKER_15
transcript.pyannote[1288].start 6899.91471875
transcript.pyannote[1288].end 6899.93159375
transcript.pyannote[1289].speaker SPEAKER_32
transcript.pyannote[1289].start 6899.93159375
transcript.pyannote[1289].end 6901.39971875
transcript.pyannote[1290].speaker SPEAKER_15
transcript.pyannote[1290].start 6899.98221875
transcript.pyannote[1290].end 6899.99909375
transcript.pyannote[1291].speaker SPEAKER_23
transcript.pyannote[1291].start 6899.99909375
transcript.pyannote[1291].end 6901.14659375
transcript.pyannote[1292].speaker SPEAKER_29
transcript.pyannote[1292].start 6901.14659375
transcript.pyannote[1292].end 6901.29846875
transcript.pyannote[1293].speaker SPEAKER_23
transcript.pyannote[1293].start 6901.29846875
transcript.pyannote[1293].end 6901.31534375
transcript.pyannote[1294].speaker SPEAKER_29
transcript.pyannote[1294].start 6901.31534375
transcript.pyannote[1294].end 6901.73721875
transcript.pyannote[1295].speaker SPEAKER_23
transcript.pyannote[1295].start 6901.39971875
transcript.pyannote[1295].end 6901.46721875
transcript.pyannote[1296].speaker SPEAKER_32
transcript.pyannote[1296].start 6901.46721875
transcript.pyannote[1296].end 6901.55159375
transcript.pyannote[1297].speaker SPEAKER_23
transcript.pyannote[1297].start 6903.23909375
transcript.pyannote[1297].end 6908.74034375
transcript.pyannote[1298].speaker SPEAKER_23
transcript.pyannote[1298].start 6909.22971875
transcript.pyannote[1298].end 6912.35159375
transcript.pyannote[1299].speaker SPEAKER_23
transcript.pyannote[1299].start 6912.45284375
transcript.pyannote[1299].end 6917.07659375
transcript.pyannote[1300].speaker SPEAKER_32
transcript.pyannote[1300].start 6917.07659375
transcript.pyannote[1300].end 6918.59534375
transcript.pyannote[1301].speaker SPEAKER_32
transcript.pyannote[1301].start 6918.94971875
transcript.pyannote[1301].end 6929.91846875
transcript.pyannote[1302].speaker SPEAKER_23
transcript.pyannote[1302].start 6933.98534375
transcript.pyannote[1302].end 6946.77659375
transcript.pyannote[1303].speaker SPEAKER_32
transcript.pyannote[1303].start 6946.77659375
transcript.pyannote[1303].end 6950.97846875
transcript.pyannote[1304].speaker SPEAKER_23
transcript.pyannote[1304].start 6946.79346875
transcript.pyannote[1304].end 6946.82721875
transcript.pyannote[1305].speaker SPEAKER_23
transcript.pyannote[1305].start 6947.08034375
transcript.pyannote[1305].end 6947.09721875
transcript.pyannote[1306].speaker SPEAKER_32
transcript.pyannote[1306].start 6951.70409375
transcript.pyannote[1306].end 6952.12596875
transcript.pyannote[1307].speaker SPEAKER_32
transcript.pyannote[1307].start 6953.13846875
transcript.pyannote[1307].end 6955.56846875
transcript.pyannote[1308].speaker SPEAKER_32
transcript.pyannote[1308].start 6955.75409375
transcript.pyannote[1308].end 6956.54721875
transcript.pyannote[1309].speaker SPEAKER_32
transcript.pyannote[1309].start 6956.88471875
transcript.pyannote[1309].end 6960.02346875
transcript.pyannote[1310].speaker SPEAKER_32
transcript.pyannote[1310].start 6960.19221875
transcript.pyannote[1310].end 6963.31409375
transcript.pyannote[1311].speaker SPEAKER_32
transcript.pyannote[1311].start 6963.56721875
transcript.pyannote[1311].end 6983.83409375
transcript.pyannote[1312].speaker SPEAKER_32
transcript.pyannote[1312].start 6984.62721875
transcript.pyannote[1312].end 6993.67221875
transcript.pyannote[1313].speaker SPEAKER_15
transcript.pyannote[1313].start 6993.58784375
transcript.pyannote[1313].end 6994.39784375
transcript.pyannote[1314].speaker SPEAKER_15
transcript.pyannote[1314].start 6995.14034375
transcript.pyannote[1314].end 6996.91221875
transcript.pyannote[1315].speaker SPEAKER_15
transcript.pyannote[1315].start 6997.33409375
transcript.pyannote[1315].end 6999.37596875
transcript.pyannote[1316].speaker SPEAKER_15
transcript.pyannote[1316].start 6999.83159375
transcript.pyannote[1316].end 7002.68346875
transcript.pyannote[1317].speaker SPEAKER_15
transcript.pyannote[1317].start 7002.98721875
transcript.pyannote[1317].end 7004.11784375
transcript.pyannote[1318].speaker SPEAKER_15
transcript.pyannote[1318].start 7004.32034375
transcript.pyannote[1318].end 7009.11284375
transcript.pyannote[1319].speaker SPEAKER_15
transcript.pyannote[1319].start 7009.23096875
transcript.pyannote[1319].end 7011.01971875
transcript.pyannote[1320].speaker SPEAKER_32
transcript.pyannote[1320].start 7010.78346875
transcript.pyannote[1320].end 7012.82534375
transcript.pyannote[1321].speaker SPEAKER_15
transcript.pyannote[1321].start 7012.58909375
transcript.pyannote[1321].end 7015.01909375
transcript.pyannote[1322].speaker SPEAKER_32
transcript.pyannote[1322].start 7014.42846875
transcript.pyannote[1322].end 7049.56221875
transcript.pyannote[1323].speaker SPEAKER_15
transcript.pyannote[1323].start 7015.40721875
transcript.pyannote[1323].end 7015.49159375
transcript.pyannote[1324].speaker SPEAKER_00
transcript.pyannote[1324].start 7028.70471875
transcript.pyannote[1324].end 7029.43034375
transcript.pyannote[1325].speaker SPEAKER_00
transcript.pyannote[1325].start 7033.02471875
transcript.pyannote[1325].end 7033.04159375
transcript.pyannote[1326].speaker SPEAKER_00
transcript.pyannote[1326].start 7033.05846875
transcript.pyannote[1326].end 7033.17659375
transcript.pyannote[1327].speaker SPEAKER_00
transcript.pyannote[1327].start 7036.80471875
transcript.pyannote[1327].end 7037.37846875
transcript.pyannote[1328].speaker SPEAKER_00
transcript.pyannote[1328].start 7037.53034375
transcript.pyannote[1328].end 7038.01971875
transcript.pyannote[1329].speaker SPEAKER_15
transcript.pyannote[1329].start 7043.82471875
transcript.pyannote[1329].end 7045.42784375
transcript.pyannote[1330].speaker SPEAKER_32
transcript.pyannote[1330].start 7049.81534375
transcript.pyannote[1330].end 7050.22034375
transcript.pyannote[1331].speaker SPEAKER_15
transcript.pyannote[1331].start 7049.96721875
transcript.pyannote[1331].end 7052.07659375
transcript.pyannote[1332].speaker SPEAKER_15
transcript.pyannote[1332].start 7052.21159375
transcript.pyannote[1332].end 7058.11784375
transcript.pyannote[1333].speaker SPEAKER_15
transcript.pyannote[1333].start 7058.30346875
transcript.pyannote[1333].end 7058.35409375
transcript.pyannote[1334].speaker SPEAKER_32
transcript.pyannote[1334].start 7058.35409375
transcript.pyannote[1334].end 7058.37096875
transcript.pyannote[1335].speaker SPEAKER_15
transcript.pyannote[1335].start 7058.37096875
transcript.pyannote[1335].end 7059.68721875
transcript.pyannote[1336].speaker SPEAKER_32
transcript.pyannote[1336].start 7058.40471875
transcript.pyannote[1336].end 7060.29471875
transcript.pyannote[1337].speaker SPEAKER_32
transcript.pyannote[1337].start 7062.43784375
transcript.pyannote[1337].end 7064.31096875
transcript.pyannote[1338].speaker SPEAKER_32
transcript.pyannote[1338].start 7065.17159375
transcript.pyannote[1338].end 7072.56284375
transcript.pyannote[1339].speaker SPEAKER_03
transcript.pyannote[1339].start 7072.98471875
transcript.pyannote[1339].end 7075.68471875
transcript.pyannote[1340].speaker SPEAKER_32
transcript.pyannote[1340].start 7077.16971875
transcript.pyannote[1340].end 7078.72221875
transcript.pyannote[1341].speaker SPEAKER_32
transcript.pyannote[1341].start 7079.48159375
transcript.pyannote[1341].end 7087.68284375
transcript.pyannote[1342].speaker SPEAKER_03
transcript.pyannote[1342].start 7080.51096875
transcript.pyannote[1342].end 7081.65846875
transcript.pyannote[1343].speaker SPEAKER_03
transcript.pyannote[1343].start 7084.86471875
transcript.pyannote[1343].end 7086.41721875
transcript.pyannote[1344].speaker SPEAKER_03
transcript.pyannote[1344].start 7087.19346875
transcript.pyannote[1344].end 7092.20534375
transcript.pyannote[1345].speaker SPEAKER_32
transcript.pyannote[1345].start 7092.15471875
transcript.pyannote[1345].end 7100.17034375
transcript.pyannote[1346].speaker SPEAKER_03
transcript.pyannote[1346].start 7094.16284375
transcript.pyannote[1346].end 7095.25971875
transcript.pyannote[1347].speaker SPEAKER_03
transcript.pyannote[1347].start 7100.44034375
transcript.pyannote[1347].end 7108.70909375
transcript.pyannote[1348].speaker SPEAKER_32
transcript.pyannote[1348].start 7109.24909375
transcript.pyannote[1348].end 7113.29909375
transcript.pyannote[1349].speaker SPEAKER_32
transcript.pyannote[1349].start 7113.61971875
transcript.pyannote[1349].end 7114.04159375
transcript.pyannote[1350].speaker SPEAKER_32
transcript.pyannote[1350].start 7114.54784375
transcript.pyannote[1350].end 7119.71159375
transcript.pyannote[1351].speaker SPEAKER_03
transcript.pyannote[1351].start 7119.71159375
transcript.pyannote[1351].end 7122.29346875
transcript.pyannote[1352].speaker SPEAKER_03
transcript.pyannote[1352].start 7122.36096875
transcript.pyannote[1352].end 7128.84096875
transcript.pyannote[1353].speaker SPEAKER_32
transcript.pyannote[1353].start 7127.84534375
transcript.pyannote[1353].end 7128.35159375
transcript.pyannote[1354].speaker SPEAKER_03
transcript.pyannote[1354].start 7129.17846875
transcript.pyannote[1354].end 7133.27909375
transcript.pyannote[1355].speaker SPEAKER_32
transcript.pyannote[1355].start 7133.11034375
transcript.pyannote[1355].end 7146.05346875
transcript.pyannote[1356].speaker SPEAKER_03
transcript.pyannote[1356].start 7141.34534375
transcript.pyannote[1356].end 7141.37909375
transcript.pyannote[1357].speaker SPEAKER_13
transcript.pyannote[1357].start 7141.37909375
transcript.pyannote[1357].end 7141.76721875
transcript.pyannote[1358].speaker SPEAKER_13
transcript.pyannote[1358].start 7146.28971875
transcript.pyannote[1358].end 7146.74534375
transcript.pyannote[1359].speaker SPEAKER_32
transcript.pyannote[1359].start 7146.82971875
transcript.pyannote[1359].end 7151.26784375
transcript.pyannote[1360].speaker SPEAKER_03
transcript.pyannote[1360].start 7151.94284375
transcript.pyannote[1360].end 7154.30534375
transcript.pyannote[1361].speaker SPEAKER_32
transcript.pyannote[1361].start 7153.91721875
transcript.pyannote[1361].end 7155.04784375
transcript.pyannote[1362].speaker SPEAKER_32
transcript.pyannote[1362].start 7155.31784375
transcript.pyannote[1362].end 7156.39784375
transcript.pyannote[1363].speaker SPEAKER_32
transcript.pyannote[1363].start 7157.69721875
transcript.pyannote[1363].end 7158.65909375
transcript.pyannote[1364].speaker SPEAKER_15
transcript.pyannote[1364].start 7159.11471875
transcript.pyannote[1364].end 7159.57034375
transcript.pyannote[1365].speaker SPEAKER_15
transcript.pyannote[1365].start 7160.24534375
transcript.pyannote[1365].end 7162.11846875
transcript.pyannote[1366].speaker SPEAKER_15
transcript.pyannote[1366].start 7162.48971875
transcript.pyannote[1366].end 7164.71721875
transcript.pyannote[1367].speaker SPEAKER_15
transcript.pyannote[1367].start 7165.00409375
transcript.pyannote[1367].end 7168.31159375
transcript.pyannote[1368].speaker SPEAKER_15
transcript.pyannote[1368].start 7168.56471875
transcript.pyannote[1368].end 7177.12034375
transcript.pyannote[1369].speaker SPEAKER_32
transcript.pyannote[1369].start 7170.69096875
transcript.pyannote[1369].end 7174.28534375
transcript.pyannote[1370].speaker SPEAKER_32
transcript.pyannote[1370].start 7174.62284375
transcript.pyannote[1370].end 7181.17034375
transcript.pyannote[1371].speaker SPEAKER_13
transcript.pyannote[1371].start 7181.06909375
transcript.pyannote[1371].end 7181.15346875
transcript.pyannote[1372].speaker SPEAKER_13
transcript.pyannote[1372].start 7181.17034375
transcript.pyannote[1372].end 7181.57534375
transcript.pyannote[1373].speaker SPEAKER_32
transcript.pyannote[1373].start 7181.57534375
transcript.pyannote[1373].end 7198.66971875
transcript.pyannote[1374].speaker SPEAKER_13
transcript.pyannote[1374].start 7181.59221875
transcript.pyannote[1374].end 7181.60909375
transcript.pyannote[1375].speaker SPEAKER_13
transcript.pyannote[1375].start 7183.02659375
transcript.pyannote[1375].end 7183.27971875
transcript.pyannote[1376].speaker SPEAKER_13
transcript.pyannote[1376].start 7187.39721875
transcript.pyannote[1376].end 7189.72596875
transcript.pyannote[1377].speaker SPEAKER_15
transcript.pyannote[1377].start 7191.66659375
transcript.pyannote[1377].end 7191.97034375
transcript.pyannote[1378].speaker SPEAKER_15
transcript.pyannote[1378].start 7197.99471875
transcript.pyannote[1378].end 7203.10784375
transcript.pyannote[1379].speaker SPEAKER_32
transcript.pyannote[1379].start 7202.23034375
transcript.pyannote[1379].end 7212.13596875
transcript.pyannote[1380].speaker SPEAKER_13
transcript.pyannote[1380].start 7213.72221875
transcript.pyannote[1380].end 7214.19471875
transcript.pyannote[1381].speaker SPEAKER_23
transcript.pyannote[1381].start 7214.19471875
transcript.pyannote[1381].end 7214.21159375
transcript.pyannote[1382].speaker SPEAKER_23
transcript.pyannote[1382].start 7216.96221875
transcript.pyannote[1382].end 7222.09221875
transcript.pyannote[1383].speaker SPEAKER_29
transcript.pyannote[1383].start 7222.09221875
transcript.pyannote[1383].end 7222.81784375
transcript.pyannote[1384].speaker SPEAKER_23
transcript.pyannote[1384].start 7222.81784375
transcript.pyannote[1384].end 7232.03159375
transcript.pyannote[1385].speaker SPEAKER_29
transcript.pyannote[1385].start 7223.32409375
transcript.pyannote[1385].end 7223.57721875
transcript.pyannote[1386].speaker SPEAKER_23
transcript.pyannote[1386].start 7232.13284375
transcript.pyannote[1386].end 7239.49034375
transcript.pyannote[1387].speaker SPEAKER_32
transcript.pyannote[1387].start 7239.52409375
transcript.pyannote[1387].end 7251.75846875
transcript.pyannote[1388].speaker SPEAKER_34
transcript.pyannote[1388].start 7253.20971875
transcript.pyannote[1388].end 7254.34034375
transcript.pyannote[1389].speaker SPEAKER_32
transcript.pyannote[1389].start 7264.33034375
transcript.pyannote[1389].end 7265.95034375
transcript.pyannote[1390].speaker SPEAKER_34
transcript.pyannote[1390].start 7271.11409375
transcript.pyannote[1390].end 7275.46784375
transcript.pyannote[1391].speaker SPEAKER_34
transcript.pyannote[1391].start 7275.63659375
transcript.pyannote[1391].end 7277.59409375
transcript.pyannote[1392].speaker SPEAKER_34
transcript.pyannote[1392].start 7278.11721875
transcript.pyannote[1392].end 7278.79221875
transcript.pyannote[1393].speaker SPEAKER_32
transcript.pyannote[1393].start 7279.24784375
transcript.pyannote[1393].end 7279.26471875
transcript.pyannote[1394].speaker SPEAKER_34
transcript.pyannote[1394].start 7279.26471875
transcript.pyannote[1394].end 7279.70346875
transcript.pyannote[1395].speaker SPEAKER_34
transcript.pyannote[1395].start 7280.15909375
transcript.pyannote[1395].end 7281.03659375
transcript.pyannote[1396].speaker SPEAKER_32
transcript.pyannote[1396].start 7281.03659375
transcript.pyannote[1396].end 7281.05346875
transcript.pyannote[1397].speaker SPEAKER_34
transcript.pyannote[1397].start 7281.05346875
transcript.pyannote[1397].end 7281.07034375
transcript.pyannote[1398].speaker SPEAKER_32
transcript.pyannote[1398].start 7281.07034375
transcript.pyannote[1398].end 7281.08721875
transcript.pyannote[1399].speaker SPEAKER_32
transcript.pyannote[1399].start 7281.77909375
transcript.pyannote[1399].end 7282.38659375
transcript.pyannote[1400].speaker SPEAKER_32
transcript.pyannote[1400].start 7282.74096875
transcript.pyannote[1400].end 7283.41596875
transcript.pyannote[1401].speaker SPEAKER_34
transcript.pyannote[1401].start 7288.05659375
transcript.pyannote[1401].end 7288.96784375
transcript.pyannote[1402].speaker SPEAKER_34
transcript.pyannote[1402].start 7290.72284375
transcript.pyannote[1402].end 7292.03909375
transcript.pyannote[1403].speaker SPEAKER_34
transcript.pyannote[1403].start 7292.25846875
transcript.pyannote[1403].end 7293.64221875
transcript.pyannote[1404].speaker SPEAKER_34
transcript.pyannote[1404].start 7294.08096875
transcript.pyannote[1404].end 7295.90346875
transcript.pyannote[1405].speaker SPEAKER_34
transcript.pyannote[1405].start 7296.49409375
transcript.pyannote[1405].end 7299.53159375
transcript.pyannote[1406].speaker SPEAKER_34
transcript.pyannote[1406].start 7299.97034375
transcript.pyannote[1406].end 7302.09659375
transcript.pyannote[1407].speaker SPEAKER_34
transcript.pyannote[1407].start 7302.56909375
transcript.pyannote[1407].end 7304.22284375
transcript.pyannote[1408].speaker SPEAKER_34
transcript.pyannote[1408].start 7304.61096875
transcript.pyannote[1408].end 7316.74409375
transcript.pyannote[1409].speaker SPEAKER_34
transcript.pyannote[1409].start 7317.01409375
transcript.pyannote[1409].end 7318.54971875
transcript.pyannote[1410].speaker SPEAKER_34
transcript.pyannote[1410].start 7318.81971875
transcript.pyannote[1410].end 7319.52846875
transcript.pyannote[1411].speaker SPEAKER_34
transcript.pyannote[1411].start 7319.96721875
transcript.pyannote[1411].end 7322.09346875
transcript.pyannote[1412].speaker SPEAKER_34
transcript.pyannote[1412].start 7322.12721875
transcript.pyannote[1412].end 7323.66284375
transcript.pyannote[1413].speaker SPEAKER_34
transcript.pyannote[1413].start 7323.91596875
transcript.pyannote[1413].end 7325.82284375
transcript.pyannote[1414].speaker SPEAKER_34
transcript.pyannote[1414].start 7326.49784375
transcript.pyannote[1414].end 7326.93659375
transcript.pyannote[1415].speaker SPEAKER_34
transcript.pyannote[1415].start 7327.44284375
transcript.pyannote[1415].end 7329.85596875
transcript.pyannote[1416].speaker SPEAKER_34
transcript.pyannote[1416].start 7330.32846875
transcript.pyannote[1416].end 7332.04971875
transcript.pyannote[1417].speaker SPEAKER_34
transcript.pyannote[1417].start 7332.79221875
transcript.pyannote[1417].end 7334.19284375
transcript.pyannote[1418].speaker SPEAKER_34
transcript.pyannote[1418].start 7334.51346875
transcript.pyannote[1418].end 7341.11159375
transcript.pyannote[1419].speaker SPEAKER_34
transcript.pyannote[1419].start 7341.31409375
transcript.pyannote[1419].end 7352.62034375
transcript.pyannote[1420].speaker SPEAKER_34
transcript.pyannote[1420].start 7352.85659375
transcript.pyannote[1420].end 7355.11784375
transcript.pyannote[1421].speaker SPEAKER_34
transcript.pyannote[1421].start 7355.30346875
transcript.pyannote[1421].end 7357.81784375
transcript.pyannote[1422].speaker SPEAKER_34
transcript.pyannote[1422].start 7358.10471875
transcript.pyannote[1422].end 7359.67409375
transcript.pyannote[1423].speaker SPEAKER_34
transcript.pyannote[1423].start 7359.92721875
transcript.pyannote[1423].end 7362.59346875
transcript.pyannote[1424].speaker SPEAKER_34
transcript.pyannote[1424].start 7362.67784375
transcript.pyannote[1424].end 7380.95346875
transcript.pyannote[1425].speaker SPEAKER_34
transcript.pyannote[1425].start 7381.64534375
transcript.pyannote[1425].end 7383.18096875
transcript.pyannote[1426].speaker SPEAKER_34
transcript.pyannote[1426].start 7383.65346875
transcript.pyannote[1426].end 7384.66596875
transcript.pyannote[1427].speaker SPEAKER_34
transcript.pyannote[1427].start 7385.62784375
transcript.pyannote[1427].end 7391.41596875
transcript.pyannote[1428].speaker SPEAKER_34
transcript.pyannote[1428].start 7391.65221875
transcript.pyannote[1428].end 7393.66034375
transcript.pyannote[1429].speaker SPEAKER_34
transcript.pyannote[1429].start 7393.91346875
transcript.pyannote[1429].end 7395.75284375
transcript.pyannote[1430].speaker SPEAKER_34
transcript.pyannote[1430].start 7396.22534375
transcript.pyannote[1430].end 7397.79471875
transcript.pyannote[1431].speaker SPEAKER_34
transcript.pyannote[1431].start 7397.92971875
transcript.pyannote[1431].end 7401.43971875
transcript.pyannote[1432].speaker SPEAKER_34
transcript.pyannote[1432].start 7401.74346875
transcript.pyannote[1432].end 7405.92846875
transcript.pyannote[1433].speaker SPEAKER_34
transcript.pyannote[1433].start 7406.21534375
transcript.pyannote[1433].end 7407.26159375
transcript.pyannote[1434].speaker SPEAKER_34
transcript.pyannote[1434].start 7407.44721875
transcript.pyannote[1434].end 7410.09659375
transcript.pyannote[1435].speaker SPEAKER_34
transcript.pyannote[1435].start 7410.36659375
transcript.pyannote[1435].end 7412.56034375
transcript.pyannote[1436].speaker SPEAKER_34
transcript.pyannote[1436].start 7412.84721875
transcript.pyannote[1436].end 7414.29846875
transcript.pyannote[1437].speaker SPEAKER_34
transcript.pyannote[1437].start 7414.95659375
transcript.pyannote[1437].end 7417.69034375
transcript.pyannote[1438].speaker SPEAKER_34
transcript.pyannote[1438].start 7417.87596875
transcript.pyannote[1438].end 7418.34846875
transcript.pyannote[1439].speaker SPEAKER_34
transcript.pyannote[1439].start 7418.56784375
transcript.pyannote[1439].end 7429.89096875
transcript.pyannote[1440].speaker SPEAKER_34
transcript.pyannote[1440].start 7430.22846875
transcript.pyannote[1440].end 7443.61034375
transcript.pyannote[1441].speaker SPEAKER_34
transcript.pyannote[1441].start 7444.13346875
transcript.pyannote[1441].end 7446.09096875
transcript.pyannote[1442].speaker SPEAKER_34
transcript.pyannote[1442].start 7446.24284375
transcript.pyannote[1442].end 7447.35659375
transcript.pyannote[1443].speaker SPEAKER_34
transcript.pyannote[1443].start 7447.72784375
transcript.pyannote[1443].end 7448.31846875
transcript.pyannote[1444].speaker SPEAKER_34
transcript.pyannote[1444].start 7448.70659375
transcript.pyannote[1444].end 7454.76471875
transcript.pyannote[1445].speaker SPEAKER_34
transcript.pyannote[1445].start 7455.23721875
transcript.pyannote[1445].end 7455.87846875
transcript.pyannote[1446].speaker SPEAKER_34
transcript.pyannote[1446].start 7456.43534375
transcript.pyannote[1446].end 7461.54846875
transcript.pyannote[1447].speaker SPEAKER_18
transcript.pyannote[1447].start 7468.66971875
transcript.pyannote[1447].end 7469.54721875
transcript.pyannote[1448].speaker SPEAKER_34
transcript.pyannote[1448].start 7470.17159375
transcript.pyannote[1448].end 7473.25971875
transcript.pyannote[1449].speaker SPEAKER_34
transcript.pyannote[1449].start 7473.58034375
transcript.pyannote[1449].end 7475.04846875
transcript.pyannote[1450].speaker SPEAKER_34
transcript.pyannote[1450].start 7475.16659375
transcript.pyannote[1450].end 7476.09471875
transcript.pyannote[1451].speaker SPEAKER_34
transcript.pyannote[1451].start 7476.12846875
transcript.pyannote[1451].end 7477.71471875
transcript.pyannote[1452].speaker SPEAKER_34
transcript.pyannote[1452].start 7478.25471875
transcript.pyannote[1452].end 7480.66784375
transcript.pyannote[1453].speaker SPEAKER_34
transcript.pyannote[1453].start 7480.92096875
transcript.pyannote[1453].end 7498.75784375
transcript.pyannote[1454].speaker SPEAKER_00
transcript.pyannote[1454].start 7493.44221875
transcript.pyannote[1454].end 7493.93159375
transcript.pyannote[1455].speaker SPEAKER_34
transcript.pyannote[1455].start 7498.87596875
transcript.pyannote[1455].end 7514.60346875
transcript.pyannote[1456].speaker SPEAKER_34
transcript.pyannote[1456].start 7515.27846875
transcript.pyannote[1456].end 7523.88471875
transcript.pyannote[1457].speaker SPEAKER_34
transcript.pyannote[1457].start 7524.22221875
transcript.pyannote[1457].end 7526.29784375
transcript.pyannote[1458].speaker SPEAKER_34
transcript.pyannote[1458].start 7526.68596875
transcript.pyannote[1458].end 7527.61409375
transcript.pyannote[1459].speaker SPEAKER_34
transcript.pyannote[1459].start 7528.13721875
transcript.pyannote[1459].end 7533.41909375
transcript.pyannote[1460].speaker SPEAKER_34
transcript.pyannote[1460].start 7533.90846875
transcript.pyannote[1460].end 7534.88721875
transcript.pyannote[1461].speaker SPEAKER_34
transcript.pyannote[1461].start 7535.30909375
transcript.pyannote[1461].end 7539.08909375
transcript.pyannote[1462].speaker SPEAKER_34
transcript.pyannote[1462].start 7539.22409375
transcript.pyannote[1462].end 7539.61221875
transcript.pyannote[1463].speaker SPEAKER_34
transcript.pyannote[1463].start 7539.84846875
transcript.pyannote[1463].end 7542.46409375
transcript.pyannote[1464].speaker SPEAKER_34
transcript.pyannote[1464].start 7542.64971875
transcript.pyannote[1464].end 7543.93221875
transcript.pyannote[1465].speaker SPEAKER_34
transcript.pyannote[1465].start 7545.18096875
transcript.pyannote[1465].end 7549.12971875
transcript.pyannote[1466].speaker SPEAKER_34
transcript.pyannote[1466].start 7549.31534375
transcript.pyannote[1466].end 7571.77596875
transcript.pyannote[1467].speaker SPEAKER_34
transcript.pyannote[1467].start 7572.48471875
transcript.pyannote[1467].end 7580.16284375
transcript.pyannote[1468].speaker SPEAKER_18
transcript.pyannote[1468].start 7579.72409375
transcript.pyannote[1468].end 7584.75284375
transcript.pyannote[1469].speaker SPEAKER_18
transcript.pyannote[1469].start 7584.95534375
transcript.pyannote[1469].end 7587.50346875
transcript.pyannote[1470].speaker SPEAKER_18
transcript.pyannote[1470].start 7587.84096875
transcript.pyannote[1470].end 7604.19284375
transcript.pyannote[1471].speaker SPEAKER_18
transcript.pyannote[1471].start 7604.27721875
transcript.pyannote[1471].end 7609.77846875
transcript.pyannote[1472].speaker SPEAKER_18
transcript.pyannote[1472].start 7609.89659375
transcript.pyannote[1472].end 7623.66659375
transcript.pyannote[1473].speaker SPEAKER_34
transcript.pyannote[1473].start 7618.89096875
transcript.pyannote[1473].end 7627.07534375
transcript.pyannote[1474].speaker SPEAKER_18
transcript.pyannote[1474].start 7625.62409375
transcript.pyannote[1474].end 7664.28471875
transcript.pyannote[1475].speaker SPEAKER_34
transcript.pyannote[1475].start 7628.07096875
transcript.pyannote[1475].end 7629.20159375
transcript.pyannote[1476].speaker SPEAKER_34
transcript.pyannote[1476].start 7636.87971875
transcript.pyannote[1476].end 7638.68534375
transcript.pyannote[1477].speaker SPEAKER_34
transcript.pyannote[1477].start 7642.39784375
transcript.pyannote[1477].end 7646.24534375
transcript.pyannote[1478].speaker SPEAKER_34
transcript.pyannote[1478].start 7647.03846875
transcript.pyannote[1478].end 7647.37596875
transcript.pyannote[1479].speaker SPEAKER_34
transcript.pyannote[1479].start 7654.61534375
transcript.pyannote[1479].end 7657.83846875
transcript.pyannote[1480].speaker SPEAKER_34
transcript.pyannote[1480].start 7658.44596875
transcript.pyannote[1480].end 7659.05346875
transcript.pyannote[1481].speaker SPEAKER_34
transcript.pyannote[1481].start 7663.54221875
transcript.pyannote[1481].end 7671.59159375
transcript.pyannote[1482].speaker SPEAKER_34
transcript.pyannote[1482].start 7671.76034375
transcript.pyannote[1482].end 7680.02909375
transcript.pyannote[1483].speaker SPEAKER_34
transcript.pyannote[1483].start 7680.78846875
transcript.pyannote[1483].end 7681.39596875
transcript.pyannote[1484].speaker SPEAKER_34
transcript.pyannote[1484].start 7682.00346875
transcript.pyannote[1484].end 7687.21784375
transcript.pyannote[1485].speaker SPEAKER_34
transcript.pyannote[1485].start 7687.55534375
transcript.pyannote[1485].end 7693.49534375
transcript.pyannote[1486].speaker SPEAKER_34
transcript.pyannote[1486].start 7693.68096875
transcript.pyannote[1486].end 7693.95096875
transcript.pyannote[1487].speaker SPEAKER_34
transcript.pyannote[1487].start 7694.08596875
transcript.pyannote[1487].end 7697.86596875
transcript.pyannote[1488].speaker SPEAKER_18
transcript.pyannote[1488].start 7696.21221875
transcript.pyannote[1488].end 7700.86971875
transcript.pyannote[1489].speaker SPEAKER_34
transcript.pyannote[1489].start 7698.87846875
transcript.pyannote[1489].end 7699.14846875
transcript.pyannote[1490].speaker SPEAKER_34
transcript.pyannote[1490].start 7700.56596875
transcript.pyannote[1490].end 7705.32471875
transcript.pyannote[1491].speaker SPEAKER_32
transcript.pyannote[1491].start 7706.28659375
transcript.pyannote[1491].end 7709.50971875
transcript.pyannote[1492].speaker SPEAKER_20
transcript.pyannote[1492].start 7727.85284375
transcript.pyannote[1492].end 7733.20221875
transcript.pyannote[1493].speaker SPEAKER_20
transcript.pyannote[1493].start 7734.34971875
transcript.pyannote[1493].end 7734.53534375
transcript.pyannote[1494].speaker SPEAKER_34
transcript.pyannote[1494].start 7734.53534375
transcript.pyannote[1494].end 7735.56471875
transcript.pyannote[1495].speaker SPEAKER_24
transcript.pyannote[1495].start 7740.44159375
transcript.pyannote[1495].end 7740.93096875
transcript.pyannote[1496].speaker SPEAKER_24
transcript.pyannote[1496].start 7740.94784375
transcript.pyannote[1496].end 7740.98159375
transcript.pyannote[1497].speaker SPEAKER_20
transcript.pyannote[1497].start 7741.09971875
transcript.pyannote[1497].end 7747.05659375
transcript.pyannote[1498].speaker SPEAKER_20
transcript.pyannote[1498].start 7747.41096875
transcript.pyannote[1498].end 7749.45284375
transcript.pyannote[1499].speaker SPEAKER_20
transcript.pyannote[1499].start 7749.52034375
transcript.pyannote[1499].end 7752.37221875
transcript.pyannote[1500].speaker SPEAKER_20
transcript.pyannote[1500].start 7752.72659375
transcript.pyannote[1500].end 7753.21596875
transcript.pyannote[1501].speaker SPEAKER_20
transcript.pyannote[1501].start 7753.43534375
transcript.pyannote[1501].end 7760.18534375
transcript.pyannote[1502].speaker SPEAKER_20
transcript.pyannote[1502].start 7760.77596875
transcript.pyannote[1502].end 7762.51409375
transcript.pyannote[1503].speaker SPEAKER_20
transcript.pyannote[1503].start 7762.73346875
transcript.pyannote[1503].end 7767.77909375
transcript.pyannote[1504].speaker SPEAKER_24
transcript.pyannote[1504].start 7768.63971875
transcript.pyannote[1504].end 7774.52909375
transcript.pyannote[1505].speaker SPEAKER_20
transcript.pyannote[1505].start 7773.41534375
transcript.pyannote[1505].end 7777.87034375
transcript.pyannote[1506].speaker SPEAKER_20
transcript.pyannote[1506].start 7778.47784375
transcript.pyannote[1506].end 7780.30034375
transcript.pyannote[1507].speaker SPEAKER_20
transcript.pyannote[1507].start 7781.51534375
transcript.pyannote[1507].end 7785.53159375
transcript.pyannote[1508].speaker SPEAKER_20
transcript.pyannote[1508].start 7786.47659375
transcript.pyannote[1508].end 7793.22659375
transcript.pyannote[1509].speaker SPEAKER_20
transcript.pyannote[1509].start 7793.58096875
transcript.pyannote[1509].end 7795.84221875
transcript.pyannote[1510].speaker SPEAKER_24
transcript.pyannote[1510].start 7796.38221875
transcript.pyannote[1510].end 7797.61409375
transcript.pyannote[1511].speaker SPEAKER_24
transcript.pyannote[1511].start 7798.15409375
transcript.pyannote[1511].end 7801.73159375
transcript.pyannote[1512].speaker SPEAKER_24
transcript.pyannote[1512].start 7802.30534375
transcript.pyannote[1512].end 7806.49034375
transcript.pyannote[1513].speaker SPEAKER_24
transcript.pyannote[1513].start 7806.92909375
transcript.pyannote[1513].end 7813.78034375
transcript.pyannote[1514].speaker SPEAKER_20
transcript.pyannote[1514].start 7814.43846875
transcript.pyannote[1514].end 7815.87284375
transcript.pyannote[1515].speaker SPEAKER_20
transcript.pyannote[1515].start 7816.66596875
transcript.pyannote[1515].end 7818.94409375
transcript.pyannote[1516].speaker SPEAKER_20
transcript.pyannote[1516].start 7819.09596875
transcript.pyannote[1516].end 7820.17596875
transcript.pyannote[1517].speaker SPEAKER_20
transcript.pyannote[1517].start 7820.36159375
transcript.pyannote[1517].end 7824.61409375
transcript.pyannote[1518].speaker SPEAKER_24
transcript.pyannote[1518].start 7824.61409375
transcript.pyannote[1518].end 7828.30971875
transcript.pyannote[1519].speaker SPEAKER_24
transcript.pyannote[1519].start 7828.41096875
transcript.pyannote[1519].end 7839.31221875
transcript.pyannote[1520].speaker SPEAKER_20
transcript.pyannote[1520].start 7835.58284375
transcript.pyannote[1520].end 7841.65784375
transcript.pyannote[1521].speaker SPEAKER_20
transcript.pyannote[1521].start 7842.70409375
transcript.pyannote[1521].end 7851.44534375
transcript.pyannote[1522].speaker SPEAKER_02
transcript.pyannote[1522].start 7852.25534375
transcript.pyannote[1522].end 7852.37346875
transcript.pyannote[1523].speaker SPEAKER_29
transcript.pyannote[1523].start 7852.37346875
transcript.pyannote[1523].end 7852.82909375
transcript.pyannote[1524].speaker SPEAKER_02
transcript.pyannote[1524].start 7852.82909375
transcript.pyannote[1524].end 7856.15346875
transcript.pyannote[1525].speaker SPEAKER_20
transcript.pyannote[1525].start 7854.60096875
transcript.pyannote[1525].end 7858.02659375
transcript.pyannote[1526].speaker SPEAKER_34
transcript.pyannote[1526].start 7859.30909375
transcript.pyannote[1526].end 7861.67159375
transcript.pyannote[1527].speaker SPEAKER_33
transcript.pyannote[1527].start 7860.89534375
transcript.pyannote[1527].end 7866.41346875
transcript.pyannote[1528].speaker SPEAKER_33
transcript.pyannote[1528].start 7866.64971875
transcript.pyannote[1528].end 7873.99034375
transcript.pyannote[1529].speaker SPEAKER_33
transcript.pyannote[1529].start 7874.22659375
transcript.pyannote[1529].end 7874.24346875
transcript.pyannote[1530].speaker SPEAKER_20
transcript.pyannote[1530].start 7874.24346875
transcript.pyannote[1530].end 7875.37409375
transcript.pyannote[1531].speaker SPEAKER_33
transcript.pyannote[1531].start 7874.26034375
transcript.pyannote[1531].end 7874.76659375
transcript.pyannote[1532].speaker SPEAKER_33
transcript.pyannote[1532].start 7875.07034375
transcript.pyannote[1532].end 7878.34409375
transcript.pyannote[1533].speaker SPEAKER_20
transcript.pyannote[1533].start 7879.22159375
transcript.pyannote[1533].end 7887.45659375
transcript.pyannote[1534].speaker SPEAKER_33
transcript.pyannote[1534].start 7881.68534375
transcript.pyannote[1534].end 7883.18721875
transcript.pyannote[1535].speaker SPEAKER_20
transcript.pyannote[1535].start 7887.96284375
transcript.pyannote[1535].end 7891.40534375
transcript.pyannote[1536].speaker SPEAKER_20
transcript.pyannote[1536].start 7891.96221875
transcript.pyannote[1536].end 7895.35409375
transcript.pyannote[1537].speaker SPEAKER_20
transcript.pyannote[1537].start 7896.16409375
transcript.pyannote[1537].end 7898.91471875
transcript.pyannote[1538].speaker SPEAKER_20
transcript.pyannote[1538].start 7899.33659375
transcript.pyannote[1538].end 7906.60971875
transcript.pyannote[1539].speaker SPEAKER_20
transcript.pyannote[1539].start 7907.03159375
transcript.pyannote[1539].end 7913.56221875
transcript.pyannote[1540].speaker SPEAKER_24
transcript.pyannote[1540].start 7913.76471875
transcript.pyannote[1540].end 7917.98346875
transcript.pyannote[1541].speaker SPEAKER_24
transcript.pyannote[1541].start 7918.01721875
transcript.pyannote[1541].end 7919.56971875
transcript.pyannote[1542].speaker SPEAKER_20
transcript.pyannote[1542].start 7918.21971875
transcript.pyannote[1542].end 7918.81034375
transcript.pyannote[1543].speaker SPEAKER_24
transcript.pyannote[1543].start 7920.04221875
transcript.pyannote[1543].end 7922.03346875
transcript.pyannote[1544].speaker SPEAKER_20
transcript.pyannote[1544].start 7922.79284375
transcript.pyannote[1544].end 7924.58159375
transcript.pyannote[1545].speaker SPEAKER_20
transcript.pyannote[1545].start 7925.81346875
transcript.pyannote[1545].end 7929.74534375
transcript.pyannote[1546].speaker SPEAKER_24
transcript.pyannote[1546].start 7926.67409375
transcript.pyannote[1546].end 7926.94409375
transcript.pyannote[1547].speaker SPEAKER_02
transcript.pyannote[1547].start 7926.94409375
transcript.pyannote[1547].end 7941.54096875
transcript.pyannote[1548].speaker SPEAKER_20
transcript.pyannote[1548].start 7932.25971875
transcript.pyannote[1548].end 7932.76596875
transcript.pyannote[1549].speaker SPEAKER_20
transcript.pyannote[1549].start 7940.57909375
transcript.pyannote[1549].end 7942.77284375
transcript.pyannote[1550].speaker SPEAKER_02
transcript.pyannote[1550].start 7943.21159375
transcript.pyannote[1550].end 7954.23096875
transcript.pyannote[1551].speaker SPEAKER_20
transcript.pyannote[1551].start 7943.80221875
transcript.pyannote[1551].end 7946.45159375
transcript.pyannote[1552].speaker SPEAKER_02
transcript.pyannote[1552].start 7954.70346875
transcript.pyannote[1552].end 7956.45846875
transcript.pyannote[1553].speaker SPEAKER_20
transcript.pyannote[1553].start 7954.72034375
transcript.pyannote[1553].end 7958.55096875
transcript.pyannote[1554].speaker SPEAKER_02
transcript.pyannote[1554].start 7958.66909375
transcript.pyannote[1554].end 7961.26784375
transcript.pyannote[1555].speaker SPEAKER_20
transcript.pyannote[1555].start 7961.11596875
transcript.pyannote[1555].end 7965.75659375
transcript.pyannote[1556].speaker SPEAKER_02
transcript.pyannote[1556].start 7962.55034375
transcript.pyannote[1556].end 7963.20846875
transcript.pyannote[1557].speaker SPEAKER_02
transcript.pyannote[1557].start 7963.86659375
transcript.pyannote[1557].end 7973.51909375
transcript.pyannote[1558].speaker SPEAKER_02
transcript.pyannote[1558].start 7973.82284375
transcript.pyannote[1558].end 7977.11346875
transcript.pyannote[1559].speaker SPEAKER_20
transcript.pyannote[1559].start 7976.84346875
transcript.pyannote[1559].end 7979.71221875
transcript.pyannote[1560].speaker SPEAKER_20
transcript.pyannote[1560].start 7979.99909375
transcript.pyannote[1560].end 7982.47971875
transcript.pyannote[1561].speaker SPEAKER_02
transcript.pyannote[1561].start 7980.99471875
transcript.pyannote[1561].end 7984.80846875
transcript.pyannote[1562].speaker SPEAKER_20
transcript.pyannote[1562].start 7983.88034375
transcript.pyannote[1562].end 7986.69846875
transcript.pyannote[1563].speaker SPEAKER_02
transcript.pyannote[1563].start 7985.83784375
transcript.pyannote[1563].end 7990.37721875
transcript.pyannote[1564].speaker SPEAKER_20
transcript.pyannote[1564].start 7989.53346875
transcript.pyannote[1564].end 7993.48221875
transcript.pyannote[1565].speaker SPEAKER_02
transcript.pyannote[1565].start 7991.42346875
transcript.pyannote[1565].end 7996.30034375
transcript.pyannote[1566].speaker SPEAKER_20
transcript.pyannote[1566].start 7995.27096875
transcript.pyannote[1566].end 8000.28284375
transcript.pyannote[1567].speaker SPEAKER_02
transcript.pyannote[1567].start 7997.56596875
transcript.pyannote[1567].end 7998.00471875
transcript.pyannote[1568].speaker SPEAKER_02
transcript.pyannote[1568].start 8000.28284375
transcript.pyannote[1568].end 8007.80909375
transcript.pyannote[1569].speaker SPEAKER_02
transcript.pyannote[1569].start 8008.06221875
transcript.pyannote[1569].end 8010.67784375
transcript.pyannote[1570].speaker SPEAKER_02
transcript.pyannote[1570].start 8010.77909375
transcript.pyannote[1570].end 8019.68909375
transcript.pyannote[1571].speaker SPEAKER_02
transcript.pyannote[1571].start 8019.73971875
transcript.pyannote[1571].end 8022.32159375
transcript.pyannote[1572].speaker SPEAKER_02
transcript.pyannote[1572].start 8022.55784375
transcript.pyannote[1572].end 8025.54471875
transcript.pyannote[1573].speaker SPEAKER_02
transcript.pyannote[1573].start 8025.79784375
transcript.pyannote[1573].end 8028.12659375
transcript.pyannote[1574].speaker SPEAKER_20
transcript.pyannote[1574].start 8026.27034375
transcript.pyannote[1574].end 8035.12971875
transcript.pyannote[1575].speaker SPEAKER_02
transcript.pyannote[1575].start 8029.76346875
transcript.pyannote[1575].end 8031.06284375
transcript.pyannote[1576].speaker SPEAKER_02
transcript.pyannote[1576].start 8032.88534375
transcript.pyannote[1576].end 8039.98971875
transcript.pyannote[1577].speaker SPEAKER_20
transcript.pyannote[1577].start 8038.80846875
transcript.pyannote[1577].end 8044.03971875
transcript.pyannote[1578].speaker SPEAKER_20
transcript.pyannote[1578].start 8044.90034375
transcript.pyannote[1578].end 8049.50721875
transcript.pyannote[1579].speaker SPEAKER_34
transcript.pyannote[1579].start 8050.57034375
transcript.pyannote[1579].end 8056.27409375
transcript.pyannote[1580].speaker SPEAKER_20
transcript.pyannote[1580].start 8052.44346875
transcript.pyannote[1580].end 8054.23221875
transcript.pyannote[1581].speaker SPEAKER_20
transcript.pyannote[1581].start 8055.56534375
transcript.pyannote[1581].end 8060.89784375
transcript.pyannote[1582].speaker SPEAKER_34
transcript.pyannote[1582].start 8061.06659375
transcript.pyannote[1582].end 8062.02846875
transcript.pyannote[1583].speaker SPEAKER_20
transcript.pyannote[1583].start 8062.02846875
transcript.pyannote[1583].end 8062.29846875
transcript.pyannote[1584].speaker SPEAKER_34
transcript.pyannote[1584].start 8062.29846875
transcript.pyannote[1584].end 8065.77471875
transcript.pyannote[1585].speaker SPEAKER_20
transcript.pyannote[1585].start 8062.95659375
transcript.pyannote[1585].end 8063.53034375
transcript.pyannote[1586].speaker SPEAKER_20
transcript.pyannote[1586].start 8065.55534375
transcript.pyannote[1586].end 8069.87534375
transcript.pyannote[1587].speaker SPEAKER_20
transcript.pyannote[1587].start 8070.43221875
transcript.pyannote[1587].end 8075.51159375
transcript.pyannote[1588].speaker SPEAKER_20
transcript.pyannote[1588].start 8075.59596875
transcript.pyannote[1588].end 8077.99221875
transcript.pyannote[1589].speaker SPEAKER_20
transcript.pyannote[1589].start 8078.48159375
transcript.pyannote[1589].end 8080.21971875
transcript.pyannote[1590].speaker SPEAKER_20
transcript.pyannote[1590].start 8081.77221875
transcript.pyannote[1590].end 8086.95284375
transcript.pyannote[1591].speaker SPEAKER_29
transcript.pyannote[1591].start 8087.94846875
transcript.pyannote[1591].end 8088.48846875
transcript.pyannote[1592].speaker SPEAKER_20
transcript.pyannote[1592].start 8088.20159375
transcript.pyannote[1592].end 8091.25596875
transcript.pyannote[1593].speaker SPEAKER_20
transcript.pyannote[1593].start 8092.60596875
transcript.pyannote[1593].end 8105.70096875
transcript.pyannote[1594].speaker SPEAKER_15
transcript.pyannote[1594].start 8095.37346875
transcript.pyannote[1594].end 8095.74471875
transcript.pyannote[1595].speaker SPEAKER_15
transcript.pyannote[1595].start 8097.43221875
transcript.pyannote[1595].end 8099.64284375
transcript.pyannote[1596].speaker SPEAKER_15
transcript.pyannote[1596].start 8100.28409375
transcript.pyannote[1596].end 8100.97596875
transcript.pyannote[1597].speaker SPEAKER_00
transcript.pyannote[1597].start 8100.97596875
transcript.pyannote[1597].end 8101.12784375
transcript.pyannote[1598].speaker SPEAKER_20
transcript.pyannote[1598].start 8106.37596875
transcript.pyannote[1598].end 8115.67409375
transcript.pyannote[1599].speaker SPEAKER_20
transcript.pyannote[1599].start 8116.24784375
transcript.pyannote[1599].end 8124.11159375
transcript.pyannote[1600].speaker SPEAKER_20
transcript.pyannote[1600].start 8124.70221875
transcript.pyannote[1600].end 8131.03034375
transcript.pyannote[1601].speaker SPEAKER_20
transcript.pyannote[1601].start 8131.38471875
transcript.pyannote[1601].end 8133.19034375
transcript.pyannote[1602].speaker SPEAKER_20
transcript.pyannote[1602].start 8133.49409375
transcript.pyannote[1602].end 8133.93284375
transcript.pyannote[1603].speaker SPEAKER_20
transcript.pyannote[1603].start 8134.28721875
transcript.pyannote[1603].end 8138.26971875
transcript.pyannote[1604].speaker SPEAKER_20
transcript.pyannote[1604].start 8138.53971875
transcript.pyannote[1604].end 8141.25659375
transcript.pyannote[1605].speaker SPEAKER_20
transcript.pyannote[1605].start 8141.98221875
transcript.pyannote[1605].end 8151.46596875
transcript.pyannote[1606].speaker SPEAKER_20
transcript.pyannote[1606].start 8151.88784375
transcript.pyannote[1606].end 8154.63846875
transcript.pyannote[1607].speaker SPEAKER_20
transcript.pyannote[1607].start 8155.63409375
transcript.pyannote[1607].end 8157.45659375
transcript.pyannote[1608].speaker SPEAKER_20
transcript.pyannote[1608].start 8158.36784375
transcript.pyannote[1608].end 8161.60784375
transcript.pyannote[1609].speaker SPEAKER_20
transcript.pyannote[1609].start 8162.04659375
transcript.pyannote[1609].end 8165.01659375
transcript.pyannote[1610].speaker SPEAKER_20
transcript.pyannote[1610].start 8165.70846875
transcript.pyannote[1610].end 8168.25659375
transcript.pyannote[1611].speaker SPEAKER_20
transcript.pyannote[1611].start 8168.83034375
transcript.pyannote[1611].end 8171.96909375
transcript.pyannote[1612].speaker SPEAKER_15
transcript.pyannote[1612].start 8171.96909375
transcript.pyannote[1612].end 8180.96346875
transcript.pyannote[1613].speaker SPEAKER_15
transcript.pyannote[1613].start 8181.46971875
transcript.pyannote[1613].end 8185.03034375
transcript.pyannote[1614].speaker SPEAKER_15
transcript.pyannote[1614].start 8186.29596875
transcript.pyannote[1614].end 8187.67971875
transcript.pyannote[1615].speaker SPEAKER_20
transcript.pyannote[1615].start 8187.67971875
transcript.pyannote[1615].end 8187.69659375
transcript.pyannote[1616].speaker SPEAKER_15
transcript.pyannote[1616].start 8187.83159375
transcript.pyannote[1616].end 8188.11846875
transcript.pyannote[1617].speaker SPEAKER_20
transcript.pyannote[1617].start 8188.11846875
transcript.pyannote[1617].end 8188.15221875
transcript.pyannote[1618].speaker SPEAKER_20
transcript.pyannote[1618].start 8188.92846875
transcript.pyannote[1618].end 8193.11346875
transcript.pyannote[1619].speaker SPEAKER_20
transcript.pyannote[1619].start 8193.65346875
transcript.pyannote[1619].end 8197.58534375
transcript.pyannote[1620].speaker SPEAKER_15
transcript.pyannote[1620].start 8196.74159375
transcript.pyannote[1620].end 8202.69846875
transcript.pyannote[1621].speaker SPEAKER_20
transcript.pyannote[1621].start 8201.93909375
transcript.pyannote[1621].end 8202.66471875
transcript.pyannote[1622].speaker SPEAKER_20
transcript.pyannote[1622].start 8202.69846875
transcript.pyannote[1622].end 8202.73221875
transcript.pyannote[1623].speaker SPEAKER_15
transcript.pyannote[1623].start 8202.73221875
transcript.pyannote[1623].end 8203.22159375
transcript.pyannote[1624].speaker SPEAKER_20
transcript.pyannote[1624].start 8203.22159375
transcript.pyannote[1624].end 8203.37346875
transcript.pyannote[1625].speaker SPEAKER_15
transcript.pyannote[1625].start 8203.37346875
transcript.pyannote[1625].end 8203.39034375
transcript.pyannote[1626].speaker SPEAKER_20
transcript.pyannote[1626].start 8203.39034375
transcript.pyannote[1626].end 8203.42409375
transcript.pyannote[1627].speaker SPEAKER_15
transcript.pyannote[1627].start 8203.42409375
transcript.pyannote[1627].end 8203.49159375
transcript.pyannote[1628].speaker SPEAKER_20
transcript.pyannote[1628].start 8203.49159375
transcript.pyannote[1628].end 8203.71096875
transcript.pyannote[1629].speaker SPEAKER_15
transcript.pyannote[1629].start 8203.71096875
transcript.pyannote[1629].end 8210.76471875
transcript.pyannote[1630].speaker SPEAKER_15
transcript.pyannote[1630].start 8210.81534375
transcript.pyannote[1630].end 8220.75471875
transcript.pyannote[1631].speaker SPEAKER_20
transcript.pyannote[1631].start 8211.69284375
transcript.pyannote[1631].end 8213.02596875
transcript.pyannote[1632].speaker SPEAKER_20
transcript.pyannote[1632].start 8216.35034375
transcript.pyannote[1632].end 8216.85659375
transcript.pyannote[1633].speaker SPEAKER_15
transcript.pyannote[1633].start 8221.04159375
transcript.pyannote[1633].end 8223.55596875
transcript.pyannote[1634].speaker SPEAKER_20
transcript.pyannote[1634].start 8222.66159375
transcript.pyannote[1634].end 8231.97659375
transcript.pyannote[1635].speaker SPEAKER_15
transcript.pyannote[1635].start 8225.42909375
transcript.pyannote[1635].end 8225.96909375
transcript.pyannote[1636].speaker SPEAKER_15
transcript.pyannote[1636].start 8226.15471875
transcript.pyannote[1636].end 8226.17159375
transcript.pyannote[1637].speaker SPEAKER_15
transcript.pyannote[1637].start 8227.48784375
transcript.pyannote[1637].end 8229.66471875
transcript.pyannote[1638].speaker SPEAKER_15
transcript.pyannote[1638].start 8230.30596875
transcript.pyannote[1638].end 8231.09909375
transcript.pyannote[1639].speaker SPEAKER_15
transcript.pyannote[1639].start 8231.97659375
transcript.pyannote[1639].end 8232.34784375
transcript.pyannote[1640].speaker SPEAKER_20
transcript.pyannote[1640].start 8232.92159375
transcript.pyannote[1640].end 8232.93846875
transcript.pyannote[1641].speaker SPEAKER_15
transcript.pyannote[1641].start 8232.93846875
transcript.pyannote[1641].end 8233.12409375
transcript.pyannote[1642].speaker SPEAKER_20
transcript.pyannote[1642].start 8233.12409375
transcript.pyannote[1642].end 8233.95096875
transcript.pyannote[1643].speaker SPEAKER_15
transcript.pyannote[1643].start 8233.15784375
transcript.pyannote[1643].end 8243.29971875
transcript.pyannote[1644].speaker SPEAKER_15
transcript.pyannote[1644].start 8244.00846875
transcript.pyannote[1644].end 8245.78034375
transcript.pyannote[1645].speaker SPEAKER_15
transcript.pyannote[1645].start 8246.15159375
transcript.pyannote[1645].end 8247.82221875
transcript.pyannote[1646].speaker SPEAKER_15
transcript.pyannote[1646].start 8248.68284375
transcript.pyannote[1646].end 8251.60221875
transcript.pyannote[1647].speaker SPEAKER_15
transcript.pyannote[1647].start 8252.02409375
transcript.pyannote[1647].end 8252.95221875
transcript.pyannote[1648].speaker SPEAKER_15
transcript.pyannote[1648].start 8253.05346875
transcript.pyannote[1648].end 8255.04471875
transcript.pyannote[1649].speaker SPEAKER_15
transcript.pyannote[1649].start 8255.58471875
transcript.pyannote[1649].end 8261.40659375
transcript.pyannote[1650].speaker SPEAKER_15
transcript.pyannote[1650].start 8261.86221875
transcript.pyannote[1650].end 8267.68409375
transcript.pyannote[1651].speaker SPEAKER_15
transcript.pyannote[1651].start 8268.34221875
transcript.pyannote[1651].end 8272.24034375
transcript.pyannote[1652].speaker SPEAKER_15
transcript.pyannote[1652].start 8272.83096875
transcript.pyannote[1652].end 8276.54346875
transcript.pyannote[1653].speaker SPEAKER_20
transcript.pyannote[1653].start 8274.02909375
transcript.pyannote[1653].end 8281.92659375
transcript.pyannote[1654].speaker SPEAKER_20
transcript.pyannote[1654].start 8282.24721875
transcript.pyannote[1654].end 8286.97221875
transcript.pyannote[1655].speaker SPEAKER_20
transcript.pyannote[1655].start 8286.98909375
transcript.pyannote[1655].end 8291.93346875
transcript.pyannote[1656].speaker SPEAKER_20
transcript.pyannote[1656].start 8292.22034375
transcript.pyannote[1656].end 8301.78846875
transcript.pyannote[1657].speaker SPEAKER_15
transcript.pyannote[1657].start 8301.78846875
transcript.pyannote[1657].end 8318.57909375
transcript.pyannote[1658].speaker SPEAKER_20
transcript.pyannote[1658].start 8301.85596875
transcript.pyannote[1658].end 8304.03284375
transcript.pyannote[1659].speaker SPEAKER_08
transcript.pyannote[1659].start 8312.03159375
transcript.pyannote[1659].end 8312.84159375
transcript.pyannote[1660].speaker SPEAKER_20
transcript.pyannote[1660].start 8318.57909375
transcript.pyannote[1660].end 8318.62971875
transcript.pyannote[1661].speaker SPEAKER_15
transcript.pyannote[1661].start 8319.32159375
transcript.pyannote[1661].end 8319.62534375
transcript.pyannote[1662].speaker SPEAKER_20
transcript.pyannote[1662].start 8319.62534375
transcript.pyannote[1662].end 8319.69284375
transcript.pyannote[1663].speaker SPEAKER_20
transcript.pyannote[1663].start 8319.89534375
transcript.pyannote[1663].end 8328.94034375
transcript.pyannote[1664].speaker SPEAKER_15
transcript.pyannote[1664].start 8320.06409375
transcript.pyannote[1664].end 8321.14409375
transcript.pyannote[1665].speaker SPEAKER_15
transcript.pyannote[1665].start 8327.20221875
transcript.pyannote[1665].end 8328.09659375
transcript.pyannote[1666].speaker SPEAKER_20
transcript.pyannote[1666].start 8329.48034375
transcript.pyannote[1666].end 8331.28596875
transcript.pyannote[1667].speaker SPEAKER_15
transcript.pyannote[1667].start 8330.23971875
transcript.pyannote[1667].end 8331.25221875
transcript.pyannote[1668].speaker SPEAKER_20
transcript.pyannote[1668].start 8332.01159375
transcript.pyannote[1668].end 8332.97346875
transcript.pyannote[1669].speaker SPEAKER_15
transcript.pyannote[1669].start 8332.97346875
transcript.pyannote[1669].end 8334.40784375
transcript.pyannote[1670].speaker SPEAKER_15
transcript.pyannote[1670].start 8334.96471875
transcript.pyannote[1670].end 8335.23471875
transcript.pyannote[1671].speaker SPEAKER_15
transcript.pyannote[1671].start 8335.53846875
transcript.pyannote[1671].end 8339.63909375
transcript.pyannote[1672].speaker SPEAKER_15
transcript.pyannote[1672].start 8339.75721875
transcript.pyannote[1672].end 8343.31784375
transcript.pyannote[1673].speaker SPEAKER_20
transcript.pyannote[1673].start 8340.06096875
transcript.pyannote[1673].end 8343.90846875
transcript.pyannote[1674].speaker SPEAKER_15
transcript.pyannote[1674].start 8343.53721875
transcript.pyannote[1674].end 8346.03471875
transcript.pyannote[1675].speaker SPEAKER_20
transcript.pyannote[1675].start 8346.03471875
transcript.pyannote[1675].end 8346.28784375
transcript.pyannote[1676].speaker SPEAKER_15
transcript.pyannote[1676].start 8346.28784375
transcript.pyannote[1676].end 8346.49034375
transcript.pyannote[1677].speaker SPEAKER_20
transcript.pyannote[1677].start 8346.49034375
transcript.pyannote[1677].end 8351.33346875
transcript.pyannote[1678].speaker SPEAKER_15
transcript.pyannote[1678].start 8347.94159375
transcript.pyannote[1678].end 8348.78534375
transcript.pyannote[1679].speaker SPEAKER_20
transcript.pyannote[1679].start 8351.62034375
transcript.pyannote[1679].end 8360.02409375
transcript.pyannote[1680].speaker SPEAKER_15
transcript.pyannote[1680].start 8358.80909375
transcript.pyannote[1680].end 8360.09159375
transcript.pyannote[1681].speaker SPEAKER_20
transcript.pyannote[1681].start 8360.09159375
transcript.pyannote[1681].end 8361.03659375
transcript.pyannote[1682].speaker SPEAKER_15
transcript.pyannote[1682].start 8361.03659375
transcript.pyannote[1682].end 8361.81284375
transcript.pyannote[1683].speaker SPEAKER_15
transcript.pyannote[1683].start 8362.30221875
transcript.pyannote[1683].end 8377.10159375
transcript.pyannote[1684].speaker SPEAKER_20
transcript.pyannote[1684].start 8370.21659375
transcript.pyannote[1684].end 8372.91659375
transcript.pyannote[1685].speaker SPEAKER_20
transcript.pyannote[1685].start 8375.09346875
transcript.pyannote[1685].end 8376.49409375
transcript.pyannote[1686].speaker SPEAKER_20
transcript.pyannote[1686].start 8377.50659375
transcript.pyannote[1686].end 8377.92846875
transcript.pyannote[1687].speaker SPEAKER_15
transcript.pyannote[1687].start 8377.54034375
transcript.pyannote[1687].end 8402.97096875
transcript.pyannote[1688].speaker SPEAKER_20
transcript.pyannote[1688].start 8380.83096875
transcript.pyannote[1688].end 8382.23159375
transcript.pyannote[1689].speaker SPEAKER_15
transcript.pyannote[1689].start 8403.71346875
transcript.pyannote[1689].end 8404.03409375
transcript.pyannote[1690].speaker SPEAKER_20
transcript.pyannote[1690].start 8404.03409375
transcript.pyannote[1690].end 8416.97721875
transcript.pyannote[1691].speaker SPEAKER_15
transcript.pyannote[1691].start 8404.43909375
transcript.pyannote[1691].end 8406.61596875
transcript.pyannote[1692].speaker SPEAKER_15
transcript.pyannote[1692].start 8416.97721875
transcript.pyannote[1692].end 8430.81471875
transcript.pyannote[1693].speaker SPEAKER_20
transcript.pyannote[1693].start 8417.68596875
transcript.pyannote[1693].end 8418.00659375
transcript.pyannote[1694].speaker SPEAKER_20
transcript.pyannote[1694].start 8428.36784375
transcript.pyannote[1694].end 8431.97909375
transcript.pyannote[1695].speaker SPEAKER_15
transcript.pyannote[1695].start 8432.50221875
transcript.pyannote[1695].end 8432.97471875
transcript.pyannote[1696].speaker SPEAKER_20
transcript.pyannote[1696].start 8432.97471875
transcript.pyannote[1696].end 8433.02534375
transcript.pyannote[1697].speaker SPEAKER_19
transcript.pyannote[1697].start 8433.02534375
transcript.pyannote[1697].end 8434.98284375
transcript.pyannote[1698].speaker SPEAKER_19
transcript.pyannote[1698].start 8436.11346875
transcript.pyannote[1698].end 8442.54284375
transcript.pyannote[1699].speaker SPEAKER_20
transcript.pyannote[1699].start 8442.30659375
transcript.pyannote[1699].end 8446.55909375
transcript.pyannote[1700].speaker SPEAKER_20
transcript.pyannote[1700].start 8446.79534375
transcript.pyannote[1700].end 8447.97659375
transcript.pyannote[1701].speaker SPEAKER_19
transcript.pyannote[1701].start 8447.97659375
transcript.pyannote[1701].end 8448.02721875
transcript.pyannote[1702].speaker SPEAKER_20
transcript.pyannote[1702].start 8448.02721875
transcript.pyannote[1702].end 8448.07784375
transcript.pyannote[1703].speaker SPEAKER_19
transcript.pyannote[1703].start 8448.07784375
transcript.pyannote[1703].end 8472.86721875
transcript.pyannote[1704].speaker SPEAKER_13
transcript.pyannote[1704].start 8454.81096875
transcript.pyannote[1704].end 8454.96284375
transcript.pyannote[1705].speaker SPEAKER_20
transcript.pyannote[1705].start 8454.96284375
transcript.pyannote[1705].end 8456.32971875
transcript.pyannote[1706].speaker SPEAKER_00
transcript.pyannote[1706].start 8460.63284375
transcript.pyannote[1706].end 8461.35846875
transcript.pyannote[1707].speaker SPEAKER_20
transcript.pyannote[1707].start 8471.36534375
transcript.pyannote[1707].end 8472.44534375
transcript.pyannote[1708].speaker SPEAKER_20
transcript.pyannote[1708].start 8472.86721875
transcript.pyannote[1708].end 8472.95159375
transcript.pyannote[1709].speaker SPEAKER_19
transcript.pyannote[1709].start 8472.95159375
transcript.pyannote[1709].end 8473.00221875
transcript.pyannote[1710].speaker SPEAKER_20
transcript.pyannote[1710].start 8473.00221875
transcript.pyannote[1710].end 8474.94284375
transcript.pyannote[1711].speaker SPEAKER_19
transcript.pyannote[1711].start 8473.01909375
transcript.pyannote[1711].end 8473.57596875
transcript.pyannote[1712].speaker SPEAKER_19
transcript.pyannote[1712].start 8474.21721875
transcript.pyannote[1712].end 8474.92596875
transcript.pyannote[1713].speaker SPEAKER_19
transcript.pyannote[1713].start 8474.94284375
transcript.pyannote[1713].end 8476.07346875
transcript.pyannote[1714].speaker SPEAKER_34
transcript.pyannote[1714].start 8477.50784375
transcript.pyannote[1714].end 8477.62596875
transcript.pyannote[1715].speaker SPEAKER_34
transcript.pyannote[1715].start 8477.69346875
transcript.pyannote[1715].end 8478.55409375
transcript.pyannote[1716].speaker SPEAKER_34
transcript.pyannote[1716].start 8478.89159375
transcript.pyannote[1716].end 8480.34284375
transcript.pyannote[1717].speaker SPEAKER_34
transcript.pyannote[1717].start 8480.96721875
transcript.pyannote[1717].end 8482.72221875
transcript.pyannote[1718].speaker SPEAKER_31
transcript.pyannote[1718].start 8493.70784375
transcript.pyannote[1718].end 8499.44534375
transcript.pyannote[1719].speaker SPEAKER_34
transcript.pyannote[1719].start 8501.26784375
transcript.pyannote[1719].end 8503.61346875
transcript.pyannote[1720].speaker SPEAKER_31
transcript.pyannote[1720].start 8504.38971875
transcript.pyannote[1720].end 8507.54534375
transcript.pyannote[1721].speaker SPEAKER_31
transcript.pyannote[1721].start 8517.92346875
transcript.pyannote[1721].end 8518.64909375
transcript.pyannote[1722].speaker SPEAKER_31
transcript.pyannote[1722].start 8520.38721875
transcript.pyannote[1722].end 8523.91409375
transcript.pyannote[1723].speaker SPEAKER_31
transcript.pyannote[1723].start 8524.13346875
transcript.pyannote[1723].end 8527.13721875
transcript.pyannote[1724].speaker SPEAKER_31
transcript.pyannote[1724].start 8527.76159375
transcript.pyannote[1724].end 8528.90909375
transcript.pyannote[1725].speaker SPEAKER_31
transcript.pyannote[1725].start 8529.09471875
transcript.pyannote[1725].end 8534.61284375
transcript.pyannote[1726].speaker SPEAKER_31
transcript.pyannote[1726].start 8535.22034375
transcript.pyannote[1726].end 8542.07159375
transcript.pyannote[1727].speaker SPEAKER_31
transcript.pyannote[1727].start 8542.34159375
transcript.pyannote[1727].end 8544.60284375
transcript.pyannote[1728].speaker SPEAKER_31
transcript.pyannote[1728].start 8544.94034375
transcript.pyannote[1728].end 8547.38721875
transcript.pyannote[1729].speaker SPEAKER_31
transcript.pyannote[1729].start 8547.85971875
transcript.pyannote[1729].end 8550.62721875
transcript.pyannote[1730].speaker SPEAKER_31
transcript.pyannote[1730].start 8551.36971875
transcript.pyannote[1730].end 8553.96846875
transcript.pyannote[1731].speaker SPEAKER_31
transcript.pyannote[1731].start 8554.57596875
transcript.pyannote[1731].end 8559.68909375
transcript.pyannote[1732].speaker SPEAKER_31
transcript.pyannote[1732].start 8559.89159375
transcript.pyannote[1732].end 8561.74784375
transcript.pyannote[1733].speaker SPEAKER_31
transcript.pyannote[1733].start 8561.84909375
transcript.pyannote[1733].end 8563.01346875
transcript.pyannote[1734].speaker SPEAKER_31
transcript.pyannote[1734].start 8563.75596875
transcript.pyannote[1734].end 8565.79784375
transcript.pyannote[1735].speaker SPEAKER_31
transcript.pyannote[1735].start 8566.30409375
transcript.pyannote[1735].end 8569.15596875
transcript.pyannote[1736].speaker SPEAKER_31
transcript.pyannote[1736].start 8569.83096875
transcript.pyannote[1736].end 8573.40846875
transcript.pyannote[1737].speaker SPEAKER_31
transcript.pyannote[1737].start 8573.93159375
transcript.pyannote[1737].end 8574.53909375
transcript.pyannote[1738].speaker SPEAKER_31
transcript.pyannote[1738].start 8574.91034375
transcript.pyannote[1738].end 8576.85096875
transcript.pyannote[1739].speaker SPEAKER_31
transcript.pyannote[1739].start 8577.22221875
transcript.pyannote[1739].end 8579.56784375
transcript.pyannote[1740].speaker SPEAKER_31
transcript.pyannote[1740].start 8580.14159375
transcript.pyannote[1740].end 8580.49596875
transcript.pyannote[1741].speaker SPEAKER_31
transcript.pyannote[1741].start 8581.10346875
transcript.pyannote[1741].end 8586.31784375
transcript.pyannote[1742].speaker SPEAKER_15
transcript.pyannote[1742].start 8586.40221875
transcript.pyannote[1742].end 8587.85346875
transcript.pyannote[1743].speaker SPEAKER_15
transcript.pyannote[1743].start 8587.95471875
transcript.pyannote[1743].end 8589.79409375
transcript.pyannote[1744].speaker SPEAKER_31
transcript.pyannote[1744].start 8588.05596875
transcript.pyannote[1744].end 8588.42721875
transcript.pyannote[1745].speaker SPEAKER_31
transcript.pyannote[1745].start 8589.79409375
transcript.pyannote[1745].end 8589.92909375
transcript.pyannote[1746].speaker SPEAKER_15
transcript.pyannote[1746].start 8589.92909375
transcript.pyannote[1746].end 8595.24471875
transcript.pyannote[1747].speaker SPEAKER_14
transcript.pyannote[1747].start 8590.04721875
transcript.pyannote[1747].end 8590.09784375
transcript.pyannote[1748].speaker SPEAKER_16
transcript.pyannote[1748].start 8594.38409375
transcript.pyannote[1748].end 8594.41784375
transcript.pyannote[1749].speaker SPEAKER_14
transcript.pyannote[1749].start 8594.41784375
transcript.pyannote[1749].end 8594.85659375
transcript.pyannote[1750].speaker SPEAKER_16
transcript.pyannote[1750].start 8594.85659375
transcript.pyannote[1750].end 8594.87346875
transcript.pyannote[1751].speaker SPEAKER_31
transcript.pyannote[1751].start 8594.87346875
transcript.pyannote[1751].end 8594.89034375
transcript.pyannote[1752].speaker SPEAKER_15
transcript.pyannote[1752].start 8595.51471875
transcript.pyannote[1752].end 8596.35846875
transcript.pyannote[1753].speaker SPEAKER_15
transcript.pyannote[1753].start 8596.57784375
transcript.pyannote[1753].end 8603.34471875
transcript.pyannote[1754].speaker SPEAKER_16
transcript.pyannote[1754].start 8599.36221875
transcript.pyannote[1754].end 8599.41284375
transcript.pyannote[1755].speaker SPEAKER_16
transcript.pyannote[1755].start 8599.42971875
transcript.pyannote[1755].end 8599.44659375
transcript.pyannote[1756].speaker SPEAKER_16
transcript.pyannote[1756].start 8599.46346875
transcript.pyannote[1756].end 8599.63221875
transcript.pyannote[1757].speaker SPEAKER_15
transcript.pyannote[1757].start 8603.44596875
transcript.pyannote[1757].end 8604.12096875
transcript.pyannote[1758].speaker SPEAKER_15
transcript.pyannote[1758].start 8604.28971875
transcript.pyannote[1758].end 8608.06971875
transcript.pyannote[1759].speaker SPEAKER_00
transcript.pyannote[1759].start 8607.05721875
transcript.pyannote[1759].end 8607.07409375
transcript.pyannote[1760].speaker SPEAKER_15
transcript.pyannote[1760].start 8608.33971875
transcript.pyannote[1760].end 8615.19096875
transcript.pyannote[1761].speaker SPEAKER_15
transcript.pyannote[1761].start 8615.29221875
transcript.pyannote[1761].end 8618.86971875
transcript.pyannote[1762].speaker SPEAKER_15
transcript.pyannote[1762].start 8619.13971875
transcript.pyannote[1762].end 8626.83471875
transcript.pyannote[1763].speaker SPEAKER_15
transcript.pyannote[1763].start 8627.00346875
transcript.pyannote[1763].end 8632.08284375
transcript.pyannote[1764].speaker SPEAKER_15
transcript.pyannote[1764].start 8632.36971875
transcript.pyannote[1764].end 8642.05596875
transcript.pyannote[1765].speaker SPEAKER_31
transcript.pyannote[1765].start 8642.05596875
transcript.pyannote[1765].end 8642.19096875
transcript.pyannote[1766].speaker SPEAKER_15
transcript.pyannote[1766].start 8642.19096875
transcript.pyannote[1766].end 8642.89971875
transcript.pyannote[1767].speaker SPEAKER_31
transcript.pyannote[1767].start 8642.30909375
transcript.pyannote[1767].end 8643.96284375
transcript.pyannote[1768].speaker SPEAKER_03
transcript.pyannote[1768].start 8643.96284375
transcript.pyannote[1768].end 8644.03034375
transcript.pyannote[1769].speaker SPEAKER_31
transcript.pyannote[1769].start 8644.03034375
transcript.pyannote[1769].end 8644.57034375
transcript.pyannote[1770].speaker SPEAKER_03
transcript.pyannote[1770].start 8645.36346875
transcript.pyannote[1770].end 8645.78534375
transcript.pyannote[1771].speaker SPEAKER_03
transcript.pyannote[1771].start 8646.34221875
transcript.pyannote[1771].end 8651.60721875
transcript.pyannote[1772].speaker SPEAKER_03
transcript.pyannote[1772].start 8651.69159375
transcript.pyannote[1772].end 8657.54721875
transcript.pyannote[1773].speaker SPEAKER_31
transcript.pyannote[1773].start 8651.74221875
transcript.pyannote[1773].end 8652.16409375
transcript.pyannote[1774].speaker SPEAKER_00
transcript.pyannote[1774].start 8652.16409375
transcript.pyannote[1774].end 8652.19784375
transcript.pyannote[1775].speaker SPEAKER_03
transcript.pyannote[1775].start 8657.91846875
transcript.pyannote[1775].end 8661.98534375
transcript.pyannote[1776].speaker SPEAKER_03
transcript.pyannote[1776].start 8662.18784375
transcript.pyannote[1776].end 8664.87096875
transcript.pyannote[1777].speaker SPEAKER_03
transcript.pyannote[1777].start 8665.15784375
transcript.pyannote[1777].end 8665.93409375
transcript.pyannote[1778].speaker SPEAKER_03
transcript.pyannote[1778].start 8666.22096875
transcript.pyannote[1778].end 8669.05596875
transcript.pyannote[1779].speaker SPEAKER_03
transcript.pyannote[1779].start 8669.17409375
transcript.pyannote[1779].end 8670.64221875
transcript.pyannote[1780].speaker SPEAKER_03
transcript.pyannote[1780].start 8670.82784375
transcript.pyannote[1780].end 8681.12159375
transcript.pyannote[1781].speaker SPEAKER_03
transcript.pyannote[1781].start 8681.23971875
transcript.pyannote[1781].end 8687.70284375
transcript.pyannote[1782].speaker SPEAKER_03
transcript.pyannote[1782].start 8688.09096875
transcript.pyannote[1782].end 8690.26784375
transcript.pyannote[1783].speaker SPEAKER_03
transcript.pyannote[1783].start 8690.72346875
transcript.pyannote[1783].end 8693.00159375
transcript.pyannote[1784].speaker SPEAKER_03
transcript.pyannote[1784].start 8693.22096875
transcript.pyannote[1784].end 8708.07096875
transcript.pyannote[1785].speaker SPEAKER_03
transcript.pyannote[1785].start 8708.10471875
transcript.pyannote[1785].end 8718.02721875
transcript.pyannote[1786].speaker SPEAKER_31
transcript.pyannote[1786].start 8718.02721875
transcript.pyannote[1786].end 8720.30534375
transcript.pyannote[1787].speaker SPEAKER_31
transcript.pyannote[1787].start 8720.71034375
transcript.pyannote[1787].end 8723.22471875
transcript.pyannote[1788].speaker SPEAKER_31
transcript.pyannote[1788].start 8723.61284375
transcript.pyannote[1788].end 8724.13596875
transcript.pyannote[1789].speaker SPEAKER_31
transcript.pyannote[1789].start 8724.55784375
transcript.pyannote[1789].end 8727.46034375
transcript.pyannote[1790].speaker SPEAKER_31
transcript.pyannote[1790].start 8727.74721875
transcript.pyannote[1790].end 8730.93659375
transcript.pyannote[1791].speaker SPEAKER_31
transcript.pyannote[1791].start 8731.64534375
transcript.pyannote[1791].end 8738.27721875
transcript.pyannote[1792].speaker SPEAKER_03
transcript.pyannote[1792].start 8738.66534375
transcript.pyannote[1792].end 8745.39846875
transcript.pyannote[1793].speaker SPEAKER_31
transcript.pyannote[1793].start 8743.87971875
transcript.pyannote[1793].end 8744.33534375
transcript.pyannote[1794].speaker SPEAKER_03
transcript.pyannote[1794].start 8745.68534375
transcript.pyannote[1794].end 8748.92534375
transcript.pyannote[1795].speaker SPEAKER_03
transcript.pyannote[1795].start 8749.31346875
transcript.pyannote[1795].end 8750.81534375
transcript.pyannote[1796].speaker SPEAKER_03
transcript.pyannote[1796].start 8751.11909375
transcript.pyannote[1796].end 8751.45659375
transcript.pyannote[1797].speaker SPEAKER_03
transcript.pyannote[1797].start 8752.18221875
transcript.pyannote[1797].end 8759.20221875
transcript.pyannote[1798].speaker SPEAKER_03
transcript.pyannote[1798].start 8759.50596875
transcript.pyannote[1798].end 8765.29409375
transcript.pyannote[1799].speaker SPEAKER_31
transcript.pyannote[1799].start 8765.29409375
transcript.pyannote[1799].end 8770.15409375
transcript.pyannote[1800].speaker SPEAKER_03
transcript.pyannote[1800].start 8768.55096875
transcript.pyannote[1800].end 8768.88846875
transcript.pyannote[1801].speaker SPEAKER_31
transcript.pyannote[1801].start 8770.49159375
transcript.pyannote[1801].end 8776.24596875
transcript.pyannote[1802].speaker SPEAKER_31
transcript.pyannote[1802].start 8776.43159375
transcript.pyannote[1802].end 8777.51159375
transcript.pyannote[1803].speaker SPEAKER_31
transcript.pyannote[1803].start 8777.64659375
transcript.pyannote[1803].end 8780.29596875
transcript.pyannote[1804].speaker SPEAKER_31
transcript.pyannote[1804].start 8780.49846875
transcript.pyannote[1804].end 8787.07971875
transcript.pyannote[1805].speaker SPEAKER_31
transcript.pyannote[1805].start 8787.43409375
transcript.pyannote[1805].end 8791.45034375
transcript.pyannote[1806].speaker SPEAKER_31
transcript.pyannote[1806].start 8791.65284375
transcript.pyannote[1806].end 8794.08284375
transcript.pyannote[1807].speaker SPEAKER_31
transcript.pyannote[1807].start 8794.48784375
transcript.pyannote[1807].end 8797.03596875
transcript.pyannote[1808].speaker SPEAKER_31
transcript.pyannote[1808].start 8797.25534375
transcript.pyannote[1808].end 8801.05221875
transcript.pyannote[1809].speaker SPEAKER_03
transcript.pyannote[1809].start 8798.41971875
transcript.pyannote[1809].end 8798.79096875
transcript.pyannote[1810].speaker SPEAKER_03
transcript.pyannote[1810].start 8801.05221875
transcript.pyannote[1810].end 8811.56534375
transcript.pyannote[1811].speaker SPEAKER_03
transcript.pyannote[1811].start 8811.76784375
transcript.pyannote[1811].end 8814.87284375
transcript.pyannote[1812].speaker SPEAKER_03
transcript.pyannote[1812].start 8815.15971875
transcript.pyannote[1812].end 8819.61471875
transcript.pyannote[1813].speaker SPEAKER_31
transcript.pyannote[1813].start 8820.17159375
transcript.pyannote[1813].end 8823.54659375
transcript.pyannote[1814].speaker SPEAKER_31
transcript.pyannote[1814].start 8824.81221875
transcript.pyannote[1814].end 8830.51596875
transcript.pyannote[1815].speaker SPEAKER_31
transcript.pyannote[1815].start 8830.53284375
transcript.pyannote[1815].end 8833.94159375
transcript.pyannote[1816].speaker SPEAKER_31
transcript.pyannote[1816].start 8834.44784375
transcript.pyannote[1816].end 8840.67471875
transcript.pyannote[1817].speaker SPEAKER_31
transcript.pyannote[1817].start 8840.96159375
transcript.pyannote[1817].end 8847.30659375
transcript.pyannote[1818].speaker SPEAKER_31
transcript.pyannote[1818].start 8847.93096875
transcript.pyannote[1818].end 8849.41596875
transcript.pyannote[1819].speaker SPEAKER_31
transcript.pyannote[1819].start 8849.78721875
transcript.pyannote[1819].end 8857.88721875
transcript.pyannote[1820].speaker SPEAKER_31
transcript.pyannote[1820].start 8858.37659375
transcript.pyannote[1820].end 8864.23221875
transcript.pyannote[1821].speaker SPEAKER_31
transcript.pyannote[1821].start 8864.85659375
transcript.pyannote[1821].end 8868.19784375
transcript.pyannote[1822].speaker SPEAKER_31
transcript.pyannote[1822].start 8868.55221875
transcript.pyannote[1822].end 8872.70346875
transcript.pyannote[1823].speaker SPEAKER_31
transcript.pyannote[1823].start 8873.09159375
transcript.pyannote[1823].end 8877.56346875
transcript.pyannote[1824].speaker SPEAKER_31
transcript.pyannote[1824].start 8878.49159375
transcript.pyannote[1824].end 8878.96409375
transcript.pyannote[1825].speaker SPEAKER_15
transcript.pyannote[1825].start 8878.96409375
transcript.pyannote[1825].end 8879.89221875
transcript.pyannote[1826].speaker SPEAKER_31
transcript.pyannote[1826].start 8879.89221875
transcript.pyannote[1826].end 8879.90909375
transcript.pyannote[1827].speaker SPEAKER_15
transcript.pyannote[1827].start 8880.26346875
transcript.pyannote[1827].end 8880.78659375
transcript.pyannote[1828].speaker SPEAKER_15
transcript.pyannote[1828].start 8880.93846875
transcript.pyannote[1828].end 8891.46846875
transcript.pyannote[1829].speaker SPEAKER_00
transcript.pyannote[1829].start 8883.73971875
transcript.pyannote[1829].end 8884.02659375
transcript.pyannote[1830].speaker SPEAKER_29
transcript.pyannote[1830].start 8886.08534375
transcript.pyannote[1830].end 8886.16971875
transcript.pyannote[1831].speaker SPEAKER_00
transcript.pyannote[1831].start 8886.16971875
transcript.pyannote[1831].end 8886.23721875
transcript.pyannote[1832].speaker SPEAKER_29
transcript.pyannote[1832].start 8886.23721875
transcript.pyannote[1832].end 8886.27096875
transcript.pyannote[1833].speaker SPEAKER_00
transcript.pyannote[1833].start 8886.27096875
transcript.pyannote[1833].end 8886.32159375
transcript.pyannote[1834].speaker SPEAKER_15
transcript.pyannote[1834].start 8891.77221875
transcript.pyannote[1834].end 8892.41346875
transcript.pyannote[1835].speaker SPEAKER_15
transcript.pyannote[1835].start 8892.54846875
transcript.pyannote[1835].end 8900.83409375
transcript.pyannote[1836].speaker SPEAKER_15
transcript.pyannote[1836].start 8901.07034375
transcript.pyannote[1836].end 8911.49909375
transcript.pyannote[1837].speaker SPEAKER_31
transcript.pyannote[1837].start 8910.04784375
transcript.pyannote[1837].end 8939.74784375
transcript.pyannote[1838].speaker SPEAKER_15
transcript.pyannote[1838].start 8919.49784375
transcript.pyannote[1838].end 8923.19346875
transcript.pyannote[1839].speaker SPEAKER_15
transcript.pyannote[1839].start 8932.77846875
transcript.pyannote[1839].end 8935.29284375
transcript.pyannote[1840].speaker SPEAKER_15
transcript.pyannote[1840].start 8936.17034375
transcript.pyannote[1840].end 8936.96346875
transcript.pyannote[1841].speaker SPEAKER_31
transcript.pyannote[1841].start 8939.81534375
transcript.pyannote[1841].end 8952.47159375
transcript.pyannote[1842].speaker SPEAKER_00
transcript.pyannote[1842].start 8942.92034375
transcript.pyannote[1842].end 8944.67534375
transcript.pyannote[1843].speaker SPEAKER_31
transcript.pyannote[1843].start 8953.12971875
transcript.pyannote[1843].end 8955.76221875
transcript.pyannote[1844].speaker SPEAKER_15
transcript.pyannote[1844].start 8953.16346875
transcript.pyannote[1844].end 8953.60221875
transcript.pyannote[1845].speaker SPEAKER_15
transcript.pyannote[1845].start 8954.46284375
transcript.pyannote[1845].end 8959.99784375
transcript.pyannote[1846].speaker SPEAKER_31
transcript.pyannote[1846].start 8956.43721875
transcript.pyannote[1846].end 8956.87596875
transcript.pyannote[1847].speaker SPEAKER_31
transcript.pyannote[1847].start 8959.23846875
transcript.pyannote[1847].end 8960.87534375
transcript.pyannote[1848].speaker SPEAKER_34
transcript.pyannote[1848].start 8965.73534375
transcript.pyannote[1848].end 8969.12721875
transcript.pyannote[1849].speaker SPEAKER_21
transcript.pyannote[1849].start 8981.69909375
transcript.pyannote[1849].end 8985.17534375
transcript.pyannote[1850].speaker SPEAKER_21
transcript.pyannote[1850].start 8985.27659375
transcript.pyannote[1850].end 8986.00221875
transcript.pyannote[1851].speaker SPEAKER_21
transcript.pyannote[1851].start 8988.87096875
transcript.pyannote[1851].end 8989.86659375
transcript.pyannote[1852].speaker SPEAKER_21
transcript.pyannote[1852].start 8990.96346875
transcript.pyannote[1852].end 8992.58346875
transcript.pyannote[1853].speaker SPEAKER_34
transcript.pyannote[1853].start 8992.90409375
transcript.pyannote[1853].end 8995.57034375
transcript.pyannote[1854].speaker SPEAKER_21
transcript.pyannote[1854].start 8998.74284375
transcript.pyannote[1854].end 8999.14784375
transcript.pyannote[1855].speaker SPEAKER_21
transcript.pyannote[1855].start 9000.88596875
transcript.pyannote[1855].end 9001.54409375
transcript.pyannote[1856].speaker SPEAKER_25
transcript.pyannote[1856].start 9004.17659375
transcript.pyannote[1856].end 9004.63221875
transcript.pyannote[1857].speaker SPEAKER_21
transcript.pyannote[1857].start 9004.63221875
transcript.pyannote[1857].end 9004.64909375
transcript.pyannote[1858].speaker SPEAKER_21
transcript.pyannote[1858].start 9005.64471875
transcript.pyannote[1858].end 9006.16784375
transcript.pyannote[1859].speaker SPEAKER_21
transcript.pyannote[1859].start 9007.43346875
transcript.pyannote[1859].end 9009.22221875
transcript.pyannote[1860].speaker SPEAKER_21
transcript.pyannote[1860].start 9009.61034375
transcript.pyannote[1860].end 9018.28409375
transcript.pyannote[1861].speaker SPEAKER_21
transcript.pyannote[1861].start 9018.67221875
transcript.pyannote[1861].end 9023.93721875
transcript.pyannote[1862].speaker SPEAKER_21
transcript.pyannote[1862].start 9025.01721875
transcript.pyannote[1862].end 9028.10534375
transcript.pyannote[1863].speaker SPEAKER_21
transcript.pyannote[1863].start 9028.44284375
transcript.pyannote[1863].end 9028.98284375
transcript.pyannote[1864].speaker SPEAKER_21
transcript.pyannote[1864].start 9029.65784375
transcript.pyannote[1864].end 9031.54784375
transcript.pyannote[1865].speaker SPEAKER_21
transcript.pyannote[1865].start 9032.18909375
transcript.pyannote[1865].end 9034.06221875
transcript.pyannote[1866].speaker SPEAKER_21
transcript.pyannote[1866].start 9034.90596875
transcript.pyannote[1866].end 9036.32346875
transcript.pyannote[1867].speaker SPEAKER_21
transcript.pyannote[1867].start 9037.06596875
transcript.pyannote[1867].end 9042.70221875
transcript.pyannote[1868].speaker SPEAKER_21
transcript.pyannote[1868].start 9043.12409375
transcript.pyannote[1868].end 9045.23346875
transcript.pyannote[1869].speaker SPEAKER_21
transcript.pyannote[1869].start 9046.04346875
transcript.pyannote[1869].end 9051.98346875
transcript.pyannote[1870].speaker SPEAKER_21
transcript.pyannote[1870].start 9052.81034375
transcript.pyannote[1870].end 9053.35034375
transcript.pyannote[1871].speaker SPEAKER_21
transcript.pyannote[1871].start 9054.34596875
transcript.pyannote[1871].end 9056.48909375
transcript.pyannote[1872].speaker SPEAKER_21
transcript.pyannote[1872].start 9056.55659375
transcript.pyannote[1872].end 9057.33284375
transcript.pyannote[1873].speaker SPEAKER_21
transcript.pyannote[1873].start 9057.50159375
transcript.pyannote[1873].end 9057.85596875
transcript.pyannote[1874].speaker SPEAKER_21
transcript.pyannote[1874].start 9058.56471875
transcript.pyannote[1874].end 9063.37409375
transcript.pyannote[1875].speaker SPEAKER_21
transcript.pyannote[1875].start 9063.93096875
transcript.pyannote[1875].end 9065.04471875
transcript.pyannote[1876].speaker SPEAKER_21
transcript.pyannote[1876].start 9065.66909375
transcript.pyannote[1876].end 9069.12846875
transcript.pyannote[1877].speaker SPEAKER_25
transcript.pyannote[1877].start 9069.88784375
transcript.pyannote[1877].end 9072.13221875
transcript.pyannote[1878].speaker SPEAKER_25
transcript.pyannote[1878].start 9072.38534375
transcript.pyannote[1878].end 9079.92846875
transcript.pyannote[1879].speaker SPEAKER_21
transcript.pyannote[1879].start 9076.58721875
transcript.pyannote[1879].end 9076.82346875
transcript.pyannote[1880].speaker SPEAKER_21
transcript.pyannote[1880].start 9080.24909375
transcript.pyannote[1880].end 9082.49346875
transcript.pyannote[1881].speaker SPEAKER_25
transcript.pyannote[1881].start 9081.36284375
transcript.pyannote[1881].end 9082.20659375
transcript.pyannote[1882].speaker SPEAKER_03
transcript.pyannote[1882].start 9084.38346875
transcript.pyannote[1882].end 9089.26034375
transcript.pyannote[1883].speaker SPEAKER_03
transcript.pyannote[1883].start 9089.46284375
transcript.pyannote[1883].end 9093.25971875
transcript.pyannote[1884].speaker SPEAKER_21
transcript.pyannote[1884].start 9092.93909375
transcript.pyannote[1884].end 9093.52971875
transcript.pyannote[1885].speaker SPEAKER_21
transcript.pyannote[1885].start 9095.40284375
transcript.pyannote[1885].end 9096.87096875
transcript.pyannote[1886].speaker SPEAKER_21
transcript.pyannote[1886].start 9097.84971875
transcript.pyannote[1886].end 9098.42346875
transcript.pyannote[1887].speaker SPEAKER_21
transcript.pyannote[1887].start 9098.44034375
transcript.pyannote[1887].end 9099.16596875
transcript.pyannote[1888].speaker SPEAKER_21
transcript.pyannote[1888].start 9100.88721875
transcript.pyannote[1888].end 9102.59159375
transcript.pyannote[1889].speaker SPEAKER_15
transcript.pyannote[1889].start 9102.79409375
transcript.pyannote[1889].end 9105.35909375
transcript.pyannote[1890].speaker SPEAKER_21
transcript.pyannote[1890].start 9105.00471875
transcript.pyannote[1890].end 9105.62909375
transcript.pyannote[1891].speaker SPEAKER_15
transcript.pyannote[1891].start 9106.32096875
transcript.pyannote[1891].end 9106.69221875
transcript.pyannote[1892].speaker SPEAKER_15
transcript.pyannote[1892].start 9107.14784375
transcript.pyannote[1892].end 9107.38409375
transcript.pyannote[1893].speaker SPEAKER_21
transcript.pyannote[1893].start 9107.62034375
transcript.pyannote[1893].end 9108.19409375
transcript.pyannote[1894].speaker SPEAKER_15
transcript.pyannote[1894].start 9107.89034375
transcript.pyannote[1894].end 9109.67909375
transcript.pyannote[1895].speaker SPEAKER_21
transcript.pyannote[1895].start 9109.81409375
transcript.pyannote[1895].end 9110.70846875
transcript.pyannote[1896].speaker SPEAKER_15
transcript.pyannote[1896].start 9110.89409375
transcript.pyannote[1896].end 9111.61971875
transcript.pyannote[1897].speaker SPEAKER_21
transcript.pyannote[1897].start 9113.49284375
transcript.pyannote[1897].end 9118.87596875
transcript.pyannote[1898].speaker SPEAKER_15
transcript.pyannote[1898].start 9113.89784375
transcript.pyannote[1898].end 9115.78784375
transcript.pyannote[1899].speaker SPEAKER_15
transcript.pyannote[1899].start 9116.91846875
transcript.pyannote[1899].end 9117.94784375
transcript.pyannote[1900].speaker SPEAKER_15
transcript.pyannote[1900].start 9118.90971875
transcript.pyannote[1900].end 9119.80409375
transcript.pyannote[1901].speaker SPEAKER_21
transcript.pyannote[1901].start 9120.17534375
transcript.pyannote[1901].end 9120.58034375
transcript.pyannote[1902].speaker SPEAKER_21
transcript.pyannote[1902].start 9121.37346875
transcript.pyannote[1902].end 9122.84159375
transcript.pyannote[1903].speaker SPEAKER_21
transcript.pyannote[1903].start 9123.93846875
transcript.pyannote[1903].end 9125.40659375
transcript.pyannote[1904].speaker SPEAKER_21
transcript.pyannote[1904].start 9126.33471875
transcript.pyannote[1904].end 9128.34284375
transcript.pyannote[1905].speaker SPEAKER_21
transcript.pyannote[1905].start 9128.61284375
transcript.pyannote[1905].end 9133.55721875
transcript.pyannote[1906].speaker SPEAKER_21
transcript.pyannote[1906].start 9134.80596875
transcript.pyannote[1906].end 9135.16034375
transcript.pyannote[1907].speaker SPEAKER_15
transcript.pyannote[1907].start 9135.39659375
transcript.pyannote[1907].end 9135.41346875
transcript.pyannote[1908].speaker SPEAKER_13
transcript.pyannote[1908].start 9135.41346875
transcript.pyannote[1908].end 9135.43034375
transcript.pyannote[1909].speaker SPEAKER_15
transcript.pyannote[1909].start 9135.43034375
transcript.pyannote[1909].end 9135.73409375
transcript.pyannote[1910].speaker SPEAKER_21
transcript.pyannote[1910].start 9136.18971875
transcript.pyannote[1910].end 9136.69596875
transcript.pyannote[1911].speaker SPEAKER_15
transcript.pyannote[1911].start 9137.26971875
transcript.pyannote[1911].end 9138.33284375
transcript.pyannote[1912].speaker SPEAKER_21
transcript.pyannote[1912].start 9137.84346875
transcript.pyannote[1912].end 9139.75034375
transcript.pyannote[1913].speaker SPEAKER_15
transcript.pyannote[1913].start 9138.83909375
transcript.pyannote[1913].end 9139.95284375
transcript.pyannote[1914].speaker SPEAKER_15
transcript.pyannote[1914].start 9140.54346875
transcript.pyannote[1914].end 9142.97346875
transcript.pyannote[1915].speaker SPEAKER_15
transcript.pyannote[1915].start 9143.42909375
transcript.pyannote[1915].end 9144.96471875
transcript.pyannote[1916].speaker SPEAKER_15
transcript.pyannote[1916].start 9145.31909375
transcript.pyannote[1916].end 9147.58034375
transcript.pyannote[1917].speaker SPEAKER_21
transcript.pyannote[1917].start 9146.61846875
transcript.pyannote[1917].end 9147.42846875
transcript.pyannote[1918].speaker SPEAKER_15
transcript.pyannote[1918].start 9148.03596875
transcript.pyannote[1918].end 9150.80346875
transcript.pyannote[1919].speaker SPEAKER_21
transcript.pyannote[1919].start 9150.19596875
transcript.pyannote[1919].end 9151.95096875
transcript.pyannote[1920].speaker SPEAKER_15
transcript.pyannote[1920].start 9151.74846875
transcript.pyannote[1920].end 9153.31784375
transcript.pyannote[1921].speaker SPEAKER_15
transcript.pyannote[1921].start 9153.65534375
transcript.pyannote[1921].end 9155.71409375
transcript.pyannote[1922].speaker SPEAKER_21
transcript.pyannote[1922].start 9155.66346875
transcript.pyannote[1922].end 9156.92909375
transcript.pyannote[1923].speaker SPEAKER_15
transcript.pyannote[1923].start 9155.88284375
transcript.pyannote[1923].end 9156.05159375
transcript.pyannote[1924].speaker SPEAKER_15
transcript.pyannote[1924].start 9156.08534375
transcript.pyannote[1924].end 9156.10221875
transcript.pyannote[1925].speaker SPEAKER_15
transcript.pyannote[1925].start 9156.11909375
transcript.pyannote[1925].end 9156.91221875
transcript.pyannote[1926].speaker SPEAKER_15
transcript.pyannote[1926].start 9156.92909375
transcript.pyannote[1926].end 9158.49846875
transcript.pyannote[1927].speaker SPEAKER_21
transcript.pyannote[1927].start 9156.97971875
transcript.pyannote[1927].end 9158.12721875
transcript.pyannote[1928].speaker SPEAKER_15
transcript.pyannote[1928].start 9158.81909375
transcript.pyannote[1928].end 9160.47284375
transcript.pyannote[1929].speaker SPEAKER_21
transcript.pyannote[1929].start 9159.52784375
transcript.pyannote[1929].end 9164.15159375
transcript.pyannote[1930].speaker SPEAKER_15
transcript.pyannote[1930].start 9163.61159375
transcript.pyannote[1930].end 9164.11784375
transcript.pyannote[1931].speaker SPEAKER_21
transcript.pyannote[1931].start 9164.47221875
transcript.pyannote[1931].end 9168.30284375
transcript.pyannote[1932].speaker SPEAKER_15
transcript.pyannote[1932].start 9165.70409375
transcript.pyannote[1932].end 9166.04159375
transcript.pyannote[1933].speaker SPEAKER_15
transcript.pyannote[1933].start 9168.26909375
transcript.pyannote[1933].end 9171.00284375
transcript.pyannote[1934].speaker SPEAKER_21
transcript.pyannote[1934].start 9169.63596875
transcript.pyannote[1934].end 9170.76659375
transcript.pyannote[1935].speaker SPEAKER_15
transcript.pyannote[1935].start 9171.12096875
transcript.pyannote[1935].end 9171.88034375
transcript.pyannote[1936].speaker SPEAKER_21
transcript.pyannote[1936].start 9171.67784375
transcript.pyannote[1936].end 9172.84221875
transcript.pyannote[1937].speaker SPEAKER_15
transcript.pyannote[1937].start 9172.94346875
transcript.pyannote[1937].end 9174.37784375
transcript.pyannote[1938].speaker SPEAKER_21
transcript.pyannote[1938].start 9173.73659375
transcript.pyannote[1938].end 9177.11159375
transcript.pyannote[1939].speaker SPEAKER_15
transcript.pyannote[1939].start 9174.69846875
transcript.pyannote[1939].end 9175.57596875
transcript.pyannote[1940].speaker SPEAKER_21
transcript.pyannote[1940].start 9177.63471875
transcript.pyannote[1940].end 9179.45721875
transcript.pyannote[1941].speaker SPEAKER_15
transcript.pyannote[1941].start 9180.57096875
transcript.pyannote[1941].end 9183.54096875
transcript.pyannote[1942].speaker SPEAKER_15
transcript.pyannote[1942].start 9184.09784375
transcript.pyannote[1942].end 9187.37159375
transcript.pyannote[1943].speaker SPEAKER_21
transcript.pyannote[1943].start 9187.37159375
transcript.pyannote[1943].end 9189.48096875
transcript.pyannote[1944].speaker SPEAKER_15
transcript.pyannote[1944].start 9188.43471875
transcript.pyannote[1944].end 9191.75909375
transcript.pyannote[1945].speaker SPEAKER_21
transcript.pyannote[1945].start 9191.15159375
transcript.pyannote[1945].end 9199.08284375
transcript.pyannote[1946].speaker SPEAKER_15
transcript.pyannote[1946].start 9198.84659375
transcript.pyannote[1946].end 9199.20096875
transcript.pyannote[1947].speaker SPEAKER_15
transcript.pyannote[1947].start 9199.47096875
transcript.pyannote[1947].end 9205.46159375
transcript.pyannote[1948].speaker SPEAKER_15
transcript.pyannote[1948].start 9205.61346875
transcript.pyannote[1948].end 9209.57909375
transcript.pyannote[1949].speaker SPEAKER_15
transcript.pyannote[1949].start 9210.15284375
transcript.pyannote[1949].end 9214.28721875
transcript.pyannote[1950].speaker SPEAKER_15
transcript.pyannote[1950].start 9214.65846875
transcript.pyannote[1950].end 9219.50159375
transcript.pyannote[1951].speaker SPEAKER_21
transcript.pyannote[1951].start 9216.53159375
transcript.pyannote[1951].end 9218.79284375
transcript.pyannote[1952].speaker SPEAKER_21
transcript.pyannote[1952].start 9219.23159375
transcript.pyannote[1952].end 9219.67034375
transcript.pyannote[1953].speaker SPEAKER_21
transcript.pyannote[1953].start 9220.42971875
transcript.pyannote[1953].end 9224.44596875
transcript.pyannote[1954].speaker SPEAKER_15
transcript.pyannote[1954].start 9224.64846875
transcript.pyannote[1954].end 9224.95221875
transcript.pyannote[1955].speaker SPEAKER_21
transcript.pyannote[1955].start 9225.77909375
transcript.pyannote[1955].end 9229.55909375
transcript.pyannote[1956].speaker SPEAKER_15
transcript.pyannote[1956].start 9227.17971875
transcript.pyannote[1956].end 9228.59721875
transcript.pyannote[1957].speaker SPEAKER_15
transcript.pyannote[1957].start 9229.64346875
transcript.pyannote[1957].end 9232.19159375
transcript.pyannote[1958].speaker SPEAKER_15
transcript.pyannote[1958].start 9232.30971875
transcript.pyannote[1958].end 9232.78221875
transcript.pyannote[1959].speaker SPEAKER_15
transcript.pyannote[1959].start 9233.44034375
transcript.pyannote[1959].end 9236.93346875
transcript.pyannote[1960].speaker SPEAKER_15
transcript.pyannote[1960].start 9237.28784375
transcript.pyannote[1960].end 9238.11471875
transcript.pyannote[1961].speaker SPEAKER_21
transcript.pyannote[1961].start 9238.24971875
transcript.pyannote[1961].end 9239.36346875
transcript.pyannote[1962].speaker SPEAKER_15
transcript.pyannote[1962].start 9239.65034375
transcript.pyannote[1962].end 9240.19034375
transcript.pyannote[1963].speaker SPEAKER_15
transcript.pyannote[1963].start 9240.49409375
transcript.pyannote[1963].end 9242.43471875
transcript.pyannote[1964].speaker SPEAKER_15
transcript.pyannote[1964].start 9242.70471875
transcript.pyannote[1964].end 9244.44284375
transcript.pyannote[1965].speaker SPEAKER_15
transcript.pyannote[1965].start 9244.83096875
transcript.pyannote[1965].end 9248.64471875
transcript.pyannote[1966].speaker SPEAKER_21
transcript.pyannote[1966].start 9247.66596875
transcript.pyannote[1966].end 9248.96534375
transcript.pyannote[1967].speaker SPEAKER_15
transcript.pyannote[1967].start 9249.40409375
transcript.pyannote[1967].end 9254.41596875
transcript.pyannote[1968].speaker SPEAKER_21
transcript.pyannote[1968].start 9252.25596875
transcript.pyannote[1968].end 9253.38659375
transcript.pyannote[1969].speaker SPEAKER_15
transcript.pyannote[1969].start 9254.95596875
transcript.pyannote[1969].end 9258.60096875
transcript.pyannote[1970].speaker SPEAKER_21
transcript.pyannote[1970].start 9257.65596875
transcript.pyannote[1970].end 9258.65159375
transcript.pyannote[1971].speaker SPEAKER_21
transcript.pyannote[1971].start 9258.83721875
transcript.pyannote[1971].end 9258.93846875
transcript.pyannote[1972].speaker SPEAKER_15
transcript.pyannote[1972].start 9258.93846875
transcript.pyannote[1972].end 9259.09034375
transcript.pyannote[1973].speaker SPEAKER_21
transcript.pyannote[1973].start 9258.95534375
transcript.pyannote[1973].end 9259.74846875
transcript.pyannote[1974].speaker SPEAKER_21
transcript.pyannote[1974].start 9260.81159375
transcript.pyannote[1974].end 9267.37596875
transcript.pyannote[1975].speaker SPEAKER_21
transcript.pyannote[1975].start 9268.16909375
transcript.pyannote[1975].end 9269.68784375
transcript.pyannote[1976].speaker SPEAKER_21
transcript.pyannote[1976].start 9270.26159375
transcript.pyannote[1976].end 9271.30784375
transcript.pyannote[1977].speaker SPEAKER_21
transcript.pyannote[1977].start 9271.51034375
transcript.pyannote[1977].end 9273.34971875
transcript.pyannote[1978].speaker SPEAKER_21
transcript.pyannote[1978].start 9273.60284375
transcript.pyannote[1978].end 9277.02846875
transcript.pyannote[1979].speaker SPEAKER_21
transcript.pyannote[1979].start 9277.88909375
transcript.pyannote[1979].end 9280.08284375
transcript.pyannote[1980].speaker SPEAKER_21
transcript.pyannote[1980].start 9280.80846875
transcript.pyannote[1980].end 9282.59721875
transcript.pyannote[1981].speaker SPEAKER_21
transcript.pyannote[1981].start 9282.91784375
transcript.pyannote[1981].end 9283.30596875
transcript.pyannote[1982].speaker SPEAKER_21
transcript.pyannote[1982].start 9284.60534375
transcript.pyannote[1982].end 9286.27596875
transcript.pyannote[1983].speaker SPEAKER_15
transcript.pyannote[1983].start 9287.03534375
transcript.pyannote[1983].end 9288.06471875
transcript.pyannote[1984].speaker SPEAKER_21
transcript.pyannote[1984].start 9288.06471875
transcript.pyannote[1984].end 9288.70596875
transcript.pyannote[1985].speaker SPEAKER_21
transcript.pyannote[1985].start 9289.14471875
transcript.pyannote[1985].end 9290.02221875
transcript.pyannote[1986].speaker SPEAKER_21
transcript.pyannote[1986].start 9290.69721875
transcript.pyannote[1986].end 9293.68409375
transcript.pyannote[1987].speaker SPEAKER_15
transcript.pyannote[1987].start 9293.27909375
transcript.pyannote[1987].end 9297.76784375
transcript.pyannote[1988].speaker SPEAKER_15
transcript.pyannote[1988].start 9298.13909375
transcript.pyannote[1988].end 9301.19346875
transcript.pyannote[1989].speaker SPEAKER_15
transcript.pyannote[1989].start 9301.41284375
transcript.pyannote[1989].end 9313.63034375
transcript.pyannote[1990].speaker SPEAKER_21
transcript.pyannote[1990].start 9311.94284375
transcript.pyannote[1990].end 9313.39409375
transcript.pyannote[1991].speaker SPEAKER_21
transcript.pyannote[1991].start 9313.41096875
transcript.pyannote[1991].end 9313.42784375
transcript.pyannote[1992].speaker SPEAKER_21
transcript.pyannote[1992].start 9314.27159375
transcript.pyannote[1992].end 9320.17784375
transcript.pyannote[1993].speaker SPEAKER_15
transcript.pyannote[1993].start 9315.94221875
transcript.pyannote[1993].end 9316.17846875
transcript.pyannote[1994].speaker SPEAKER_15
transcript.pyannote[1994].start 9320.46471875
transcript.pyannote[1994].end 9323.65409375
transcript.pyannote[1995].speaker SPEAKER_15
transcript.pyannote[1995].start 9324.04221875
transcript.pyannote[1995].end 9325.29096875
transcript.pyannote[1996].speaker SPEAKER_21
transcript.pyannote[1996].start 9324.64971875
transcript.pyannote[1996].end 9328.37909375
transcript.pyannote[1997].speaker SPEAKER_15
transcript.pyannote[1997].start 9325.54409375
transcript.pyannote[1997].end 9326.30346875
transcript.pyannote[1998].speaker SPEAKER_15
transcript.pyannote[1998].start 9328.37909375
transcript.pyannote[1998].end 9329.13846875
transcript.pyannote[1999].speaker SPEAKER_21
transcript.pyannote[1999].start 9328.88534375
transcript.pyannote[1999].end 9331.56846875
transcript.pyannote[2000].speaker SPEAKER_21
transcript.pyannote[2000].start 9332.04096875
transcript.pyannote[2000].end 9335.02784375
transcript.pyannote[2001].speaker SPEAKER_15
transcript.pyannote[2001].start 9335.02784375
transcript.pyannote[2001].end 9338.30159375
transcript.pyannote[2002].speaker SPEAKER_21
transcript.pyannote[2002].start 9335.33159375
transcript.pyannote[2002].end 9336.51284375
transcript.pyannote[2003].speaker SPEAKER_15
transcript.pyannote[2003].start 9338.45346875
transcript.pyannote[2003].end 9338.90909375
transcript.pyannote[2004].speaker SPEAKER_15
transcript.pyannote[2004].start 9339.14534375
transcript.pyannote[2004].end 9340.95096875
transcript.pyannote[2005].speaker SPEAKER_15
transcript.pyannote[2005].start 9341.11971875
transcript.pyannote[2005].end 9351.26159375
transcript.pyannote[2006].speaker SPEAKER_29
transcript.pyannote[2006].start 9350.06346875
transcript.pyannote[2006].end 9351.37971875
transcript.pyannote[2007].speaker SPEAKER_15
transcript.pyannote[2007].start 9351.64971875
transcript.pyannote[2007].end 9356.79659375
transcript.pyannote[2008].speaker SPEAKER_21
transcript.pyannote[2008].start 9353.30346875
transcript.pyannote[2008].end 9354.82221875
transcript.pyannote[2009].speaker SPEAKER_21
transcript.pyannote[2009].start 9355.21034375
transcript.pyannote[2009].end 9364.33971875
transcript.pyannote[2010].speaker SPEAKER_15
transcript.pyannote[2010].start 9362.29784375
transcript.pyannote[2010].end 9363.44534375
transcript.pyannote[2011].speaker SPEAKER_15
transcript.pyannote[2011].start 9363.93471875
transcript.pyannote[2011].end 9365.92596875
transcript.pyannote[2012].speaker SPEAKER_21
transcript.pyannote[2012].start 9364.86284375
transcript.pyannote[2012].end 9366.22971875
transcript.pyannote[2013].speaker SPEAKER_21
transcript.pyannote[2013].start 9366.43221875
transcript.pyannote[2013].end 9366.65159375
transcript.pyannote[2014].speaker SPEAKER_15
transcript.pyannote[2014].start 9366.65159375
transcript.pyannote[2014].end 9366.66846875
transcript.pyannote[2015].speaker SPEAKER_21
transcript.pyannote[2015].start 9366.66846875
transcript.pyannote[2015].end 9369.63846875
transcript.pyannote[2016].speaker SPEAKER_15
transcript.pyannote[2016].start 9368.03534375
transcript.pyannote[2016].end 9368.52471875
transcript.pyannote[2017].speaker SPEAKER_15
transcript.pyannote[2017].start 9369.46971875
transcript.pyannote[2017].end 9374.66721875
transcript.pyannote[2018].speaker SPEAKER_21
transcript.pyannote[2018].start 9372.84471875
transcript.pyannote[2018].end 9376.42221875
transcript.pyannote[2019].speaker SPEAKER_15
transcript.pyannote[2019].start 9378.27846875
transcript.pyannote[2019].end 9382.05846875
transcript.pyannote[2020].speaker SPEAKER_15
transcript.pyannote[2020].start 9382.17659375
transcript.pyannote[2020].end 9384.53909375
transcript.pyannote[2021].speaker SPEAKER_15
transcript.pyannote[2021].start 9384.99471875
transcript.pyannote[2021].end 9393.53346875
transcript.pyannote[2022].speaker SPEAKER_21
transcript.pyannote[2022].start 9389.11221875
transcript.pyannote[2022].end 9394.59659375
transcript.pyannote[2023].speaker SPEAKER_21
transcript.pyannote[2023].start 9396.04784375
transcript.pyannote[2023].end 9396.68909375
transcript.pyannote[2024].speaker SPEAKER_21
transcript.pyannote[2024].start 9397.85346875
transcript.pyannote[2024].end 9399.10221875
transcript.pyannote[2025].speaker SPEAKER_21
transcript.pyannote[2025].start 9401.05971875
transcript.pyannote[2025].end 9405.27846875
transcript.pyannote[2026].speaker SPEAKER_21
transcript.pyannote[2026].start 9406.03784375
transcript.pyannote[2026].end 9409.39596875
transcript.pyannote[2027].speaker SPEAKER_15
transcript.pyannote[2027].start 9407.89409375
transcript.pyannote[2027].end 9408.21471875
transcript.pyannote[2028].speaker SPEAKER_15
transcript.pyannote[2028].start 9408.65346875
transcript.pyannote[2028].end 9411.77534375
transcript.pyannote[2029].speaker SPEAKER_21
transcript.pyannote[2029].start 9412.23096875
transcript.pyannote[2029].end 9413.10846875
transcript.pyannote[2030].speaker SPEAKER_15
transcript.pyannote[2030].start 9414.50909375
transcript.pyannote[2030].end 9418.45784375
transcript.pyannote[2031].speaker SPEAKER_21
transcript.pyannote[2031].start 9415.75784375
transcript.pyannote[2031].end 9417.98534375
transcript.pyannote[2032].speaker SPEAKER_21
transcript.pyannote[2032].start 9418.20471875
transcript.pyannote[2032].end 9420.26346875
transcript.pyannote[2033].speaker SPEAKER_21
transcript.pyannote[2033].start 9420.58409375
transcript.pyannote[2033].end 9423.97596875
transcript.pyannote[2034].speaker SPEAKER_00
transcript.pyannote[2034].start 9422.71034375
transcript.pyannote[2034].end 9422.76096875
transcript.pyannote[2035].speaker SPEAKER_10
transcript.pyannote[2035].start 9422.76096875
transcript.pyannote[2035].end 9423.13221875
transcript.pyannote[2036].speaker SPEAKER_21
transcript.pyannote[2036].start 9424.54971875
transcript.pyannote[2036].end 9427.23284375
transcript.pyannote[2037].speaker SPEAKER_15
transcript.pyannote[2037].start 9425.78159375
transcript.pyannote[2037].end 9426.06846875
transcript.pyannote[2038].speaker SPEAKER_15
transcript.pyannote[2038].start 9426.10221875
transcript.pyannote[2038].end 9426.22034375
transcript.pyannote[2039].speaker SPEAKER_21
transcript.pyannote[2039].start 9427.58721875
transcript.pyannote[2039].end 9427.97534375
transcript.pyannote[2040].speaker SPEAKER_21
transcript.pyannote[2040].start 9428.53221875
transcript.pyannote[2040].end 9432.59909375
transcript.pyannote[2041].speaker SPEAKER_15
transcript.pyannote[2041].start 9432.59909375
transcript.pyannote[2041].end 9434.21909375
transcript.pyannote[2042].speaker SPEAKER_21
transcript.pyannote[2042].start 9433.07159375
transcript.pyannote[2042].end 9435.55221875
transcript.pyannote[2043].speaker SPEAKER_15
transcript.pyannote[2043].start 9435.70409375
transcript.pyannote[2043].end 9438.94409375
transcript.pyannote[2044].speaker SPEAKER_15
transcript.pyannote[2044].start 9438.99471875
transcript.pyannote[2044].end 9439.34909375
transcript.pyannote[2045].speaker SPEAKER_21
transcript.pyannote[2045].start 9439.07909375
transcript.pyannote[2045].end 9439.45034375
transcript.pyannote[2046].speaker SPEAKER_15
transcript.pyannote[2046].start 9439.45034375
transcript.pyannote[2046].end 9441.72846875
transcript.pyannote[2047].speaker SPEAKER_34
transcript.pyannote[2047].start 9443.19659375
transcript.pyannote[2047].end 9447.34784375
transcript.pyannote[2048].speaker SPEAKER_26
transcript.pyannote[2048].start 9456.69659375
transcript.pyannote[2048].end 9463.53096875
transcript.pyannote[2049].speaker SPEAKER_34
transcript.pyannote[2049].start 9468.76221875
transcript.pyannote[2049].end 9469.84221875
transcript.pyannote[2050].speaker SPEAKER_26
transcript.pyannote[2050].start 9468.98159375
transcript.pyannote[2050].end 9473.13284375
transcript.pyannote[2051].speaker SPEAKER_26
transcript.pyannote[2051].start 9474.12846875
transcript.pyannote[2051].end 9475.74846875
transcript.pyannote[2052].speaker SPEAKER_34
transcript.pyannote[2052].start 9474.85409375
transcript.pyannote[2052].end 9475.05659375
transcript.pyannote[2053].speaker SPEAKER_34
transcript.pyannote[2053].start 9475.63034375
transcript.pyannote[2053].end 9475.66409375
transcript.pyannote[2054].speaker SPEAKER_29
transcript.pyannote[2054].start 9475.66409375
transcript.pyannote[2054].end 9476.06909375
transcript.pyannote[2055].speaker SPEAKER_26
transcript.pyannote[2055].start 9476.45721875
transcript.pyannote[2055].end 9477.94221875
transcript.pyannote[2056].speaker SPEAKER_26
transcript.pyannote[2056].start 9478.87034375
transcript.pyannote[2056].end 9483.83159375
transcript.pyannote[2057].speaker SPEAKER_26
transcript.pyannote[2057].start 9484.37159375
transcript.pyannote[2057].end 9484.82721875
transcript.pyannote[2058].speaker SPEAKER_26
transcript.pyannote[2058].start 9485.26596875
transcript.pyannote[2058].end 9488.79284375
transcript.pyannote[2059].speaker SPEAKER_26
transcript.pyannote[2059].start 9489.61971875
transcript.pyannote[2059].end 9491.59409375
transcript.pyannote[2060].speaker SPEAKER_26
transcript.pyannote[2060].start 9492.21846875
transcript.pyannote[2060].end 9493.55159375
transcript.pyannote[2061].speaker SPEAKER_15
transcript.pyannote[2061].start 9493.70346875
transcript.pyannote[2061].end 9496.57221875
transcript.pyannote[2062].speaker SPEAKER_26
transcript.pyannote[2062].start 9495.05346875
transcript.pyannote[2062].end 9495.32346875
transcript.pyannote[2063].speaker SPEAKER_26
transcript.pyannote[2063].start 9496.03221875
transcript.pyannote[2063].end 9500.50409375
transcript.pyannote[2064].speaker SPEAKER_15
transcript.pyannote[2064].start 9499.60971875
transcript.pyannote[2064].end 9500.31846875
transcript.pyannote[2065].speaker SPEAKER_26
transcript.pyannote[2065].start 9500.95971875
transcript.pyannote[2065].end 9506.35971875
transcript.pyannote[2066].speaker SPEAKER_15
transcript.pyannote[2066].start 9506.35971875
transcript.pyannote[2066].end 9508.67159375
transcript.pyannote[2067].speaker SPEAKER_26
transcript.pyannote[2067].start 9506.84909375
transcript.pyannote[2067].end 9507.84471875
transcript.pyannote[2068].speaker SPEAKER_26
transcript.pyannote[2068].start 9508.46909375
transcript.pyannote[2068].end 9510.07221875
transcript.pyannote[2069].speaker SPEAKER_26
transcript.pyannote[2069].start 9510.93284375
transcript.pyannote[2069].end 9511.72596875
transcript.pyannote[2070].speaker SPEAKER_26
transcript.pyannote[2070].start 9511.99596875
transcript.pyannote[2070].end 9513.91971875
transcript.pyannote[2071].speaker SPEAKER_26
transcript.pyannote[2071].start 9514.88159375
transcript.pyannote[2071].end 9515.97846875
transcript.pyannote[2072].speaker SPEAKER_19
transcript.pyannote[2072].start 9515.52284375
transcript.pyannote[2072].end 9516.11346875
transcript.pyannote[2073].speaker SPEAKER_26
transcript.pyannote[2073].start 9516.11346875
transcript.pyannote[2073].end 9516.55221875
transcript.pyannote[2074].speaker SPEAKER_26
transcript.pyannote[2074].start 9516.90659375
transcript.pyannote[2074].end 9517.96971875
transcript.pyannote[2075].speaker SPEAKER_26
transcript.pyannote[2075].start 9518.61096875
transcript.pyannote[2075].end 9519.85971875
transcript.pyannote[2076].speaker SPEAKER_26
transcript.pyannote[2076].start 9520.12971875
transcript.pyannote[2076].end 9522.77909375
transcript.pyannote[2077].speaker SPEAKER_26
transcript.pyannote[2077].start 9523.52159375
transcript.pyannote[2077].end 9524.53409375
transcript.pyannote[2078].speaker SPEAKER_26
transcript.pyannote[2078].start 9525.09096875
transcript.pyannote[2078].end 9525.85034375
transcript.pyannote[2079].speaker SPEAKER_26
transcript.pyannote[2079].start 9526.49159375
transcript.pyannote[2079].end 9530.00159375
transcript.pyannote[2080].speaker SPEAKER_31
transcript.pyannote[2080].start 9529.02284375
transcript.pyannote[2080].end 9529.37721875
transcript.pyannote[2081].speaker SPEAKER_26
transcript.pyannote[2081].start 9532.09409375
transcript.pyannote[2081].end 9533.84909375
transcript.pyannote[2082].speaker SPEAKER_31
transcript.pyannote[2082].start 9532.70159375
transcript.pyannote[2082].end 9533.29221875
transcript.pyannote[2083].speaker SPEAKER_31
transcript.pyannote[2083].start 9533.84909375
transcript.pyannote[2083].end 9533.89971875
transcript.pyannote[2084].speaker SPEAKER_26
transcript.pyannote[2084].start 9533.89971875
transcript.pyannote[2084].end 9533.93346875
transcript.pyannote[2085].speaker SPEAKER_26
transcript.pyannote[2085].start 9534.43971875
transcript.pyannote[2085].end 9536.27909375
transcript.pyannote[2086].speaker SPEAKER_26
transcript.pyannote[2086].start 9537.27471875
transcript.pyannote[2086].end 9541.17284375
transcript.pyannote[2087].speaker SPEAKER_26
transcript.pyannote[2087].start 9541.27409375
transcript.pyannote[2087].end 9544.36221875
transcript.pyannote[2088].speaker SPEAKER_18
transcript.pyannote[2088].start 9544.96971875
transcript.pyannote[2088].end 9547.14659375
transcript.pyannote[2089].speaker SPEAKER_26
transcript.pyannote[2089].start 9545.44221875
transcript.pyannote[2089].end 9548.29409375
transcript.pyannote[2090].speaker SPEAKER_26
transcript.pyannote[2090].start 9548.51346875
transcript.pyannote[2090].end 9550.69034375
transcript.pyannote[2091].speaker SPEAKER_26
transcript.pyannote[2091].start 9551.06159375
transcript.pyannote[2091].end 9553.01909375
transcript.pyannote[2092].speaker SPEAKER_26
transcript.pyannote[2092].start 9553.49159375
transcript.pyannote[2092].end 9558.46971875
transcript.pyannote[2093].speaker SPEAKER_29
transcript.pyannote[2093].start 9553.60971875
transcript.pyannote[2093].end 9553.66034375
transcript.pyannote[2094].speaker SPEAKER_26
transcript.pyannote[2094].start 9558.99284375
transcript.pyannote[2094].end 9560.78159375
transcript.pyannote[2095].speaker SPEAKER_26
transcript.pyannote[2095].start 9561.35534375
transcript.pyannote[2095].end 9561.79409375
transcript.pyannote[2096].speaker SPEAKER_29
transcript.pyannote[2096].start 9561.72659375
transcript.pyannote[2096].end 9561.77721875
transcript.pyannote[2097].speaker SPEAKER_31
transcript.pyannote[2097].start 9561.79409375
transcript.pyannote[2097].end 9562.19909375
transcript.pyannote[2098].speaker SPEAKER_26
transcript.pyannote[2098].start 9562.24971875
transcript.pyannote[2098].end 9566.11409375
transcript.pyannote[2099].speaker SPEAKER_26
transcript.pyannote[2099].start 9567.21096875
transcript.pyannote[2099].end 9568.27409375
transcript.pyannote[2100].speaker SPEAKER_26
transcript.pyannote[2100].start 9569.33721875
transcript.pyannote[2100].end 9576.32346875
transcript.pyannote[2101].speaker SPEAKER_26
transcript.pyannote[2101].start 9577.26846875
transcript.pyannote[2101].end 9580.81221875
transcript.pyannote[2102].speaker SPEAKER_26
transcript.pyannote[2102].start 9581.67284375
transcript.pyannote[2102].end 9583.32659375
transcript.pyannote[2103].speaker SPEAKER_26
transcript.pyannote[2103].start 9583.78221875
transcript.pyannote[2103].end 9585.85784375
transcript.pyannote[2104].speaker SPEAKER_26
transcript.pyannote[2104].start 9586.31346875
transcript.pyannote[2104].end 9590.24534375
transcript.pyannote[2105].speaker SPEAKER_18
transcript.pyannote[2105].start 9590.41409375
transcript.pyannote[2105].end 9591.29159375
transcript.pyannote[2106].speaker SPEAKER_26
transcript.pyannote[2106].start 9591.29159375
transcript.pyannote[2106].end 9593.62034375
transcript.pyannote[2107].speaker SPEAKER_18
transcript.pyannote[2107].start 9591.84846875
transcript.pyannote[2107].end 9592.48971875
transcript.pyannote[2108].speaker SPEAKER_18
transcript.pyannote[2108].start 9592.87784375
transcript.pyannote[2108].end 9596.32034375
transcript.pyannote[2109].speaker SPEAKER_26
transcript.pyannote[2109].start 9594.34596875
transcript.pyannote[2109].end 9598.80096875
transcript.pyannote[2110].speaker SPEAKER_18
transcript.pyannote[2110].start 9599.10471875
transcript.pyannote[2110].end 9600.28596875
transcript.pyannote[2111].speaker SPEAKER_18
transcript.pyannote[2111].start 9600.38721875
transcript.pyannote[2111].end 9600.53909375
transcript.pyannote[2112].speaker SPEAKER_26
transcript.pyannote[2112].start 9601.07909375
transcript.pyannote[2112].end 9603.10409375
transcript.pyannote[2113].speaker SPEAKER_26
transcript.pyannote[2113].start 9603.34034375
transcript.pyannote[2113].end 9604.18409375
transcript.pyannote[2114].speaker SPEAKER_26
transcript.pyannote[2114].start 9604.84221875
transcript.pyannote[2114].end 9605.78721875
transcript.pyannote[2115].speaker SPEAKER_26
transcript.pyannote[2115].start 9606.74909375
transcript.pyannote[2115].end 9608.20034375
transcript.pyannote[2116].speaker SPEAKER_18
transcript.pyannote[2116].start 9609.16221875
transcript.pyannote[2116].end 9612.65534375
transcript.pyannote[2117].speaker SPEAKER_26
transcript.pyannote[2117].start 9609.65159375
transcript.pyannote[2117].end 9611.44034375
transcript.pyannote[2118].speaker SPEAKER_26
transcript.pyannote[2118].start 9612.26721875
transcript.pyannote[2118].end 9614.37659375
transcript.pyannote[2119].speaker SPEAKER_26
transcript.pyannote[2119].start 9614.73096875
transcript.pyannote[2119].end 9618.73034375
transcript.pyannote[2120].speaker SPEAKER_18
transcript.pyannote[2120].start 9618.93284375
transcript.pyannote[2120].end 9619.77659375
transcript.pyannote[2121].speaker SPEAKER_26
transcript.pyannote[2121].start 9619.64159375
transcript.pyannote[2121].end 9619.72596875
transcript.pyannote[2122].speaker SPEAKER_26
transcript.pyannote[2122].start 9619.77659375
transcript.pyannote[2122].end 9619.86096875
transcript.pyannote[2123].speaker SPEAKER_18
transcript.pyannote[2123].start 9619.86096875
transcript.pyannote[2123].end 9619.91159375
transcript.pyannote[2124].speaker SPEAKER_26
transcript.pyannote[2124].start 9619.91159375
transcript.pyannote[2124].end 9619.96221875
transcript.pyannote[2125].speaker SPEAKER_18
transcript.pyannote[2125].start 9619.96221875
transcript.pyannote[2125].end 9623.16846875
transcript.pyannote[2126].speaker SPEAKER_26
transcript.pyannote[2126].start 9620.08034375
transcript.pyannote[2126].end 9622.74659375
transcript.pyannote[2127].speaker SPEAKER_26
transcript.pyannote[2127].start 9623.16846875
transcript.pyannote[2127].end 9624.75471875
transcript.pyannote[2128].speaker SPEAKER_18
transcript.pyannote[2128].start 9624.04596875
transcript.pyannote[2128].end 9626.96534375
transcript.pyannote[2129].speaker SPEAKER_26
transcript.pyannote[2129].start 9625.32846875
transcript.pyannote[2129].end 9628.11284375
transcript.pyannote[2130].speaker SPEAKER_26
transcript.pyannote[2130].start 9628.39971875
transcript.pyannote[2130].end 9635.06534375
transcript.pyannote[2131].speaker SPEAKER_26
transcript.pyannote[2131].start 9635.95971875
transcript.pyannote[2131].end 9637.42784375
transcript.pyannote[2132].speaker SPEAKER_18
transcript.pyannote[2132].start 9637.42784375
transcript.pyannote[2132].end 9638.47409375
transcript.pyannote[2133].speaker SPEAKER_26
transcript.pyannote[2133].start 9637.83284375
transcript.pyannote[2133].end 9638.45721875
transcript.pyannote[2134].speaker SPEAKER_26
transcript.pyannote[2134].start 9638.47409375
transcript.pyannote[2134].end 9639.25034375
transcript.pyannote[2135].speaker SPEAKER_18
transcript.pyannote[2135].start 9639.25034375
transcript.pyannote[2135].end 9640.68471875
transcript.pyannote[2136].speaker SPEAKER_26
transcript.pyannote[2136].start 9639.26721875
transcript.pyannote[2136].end 9640.17846875
transcript.pyannote[2137].speaker SPEAKER_17
transcript.pyannote[2137].start 9640.17846875
transcript.pyannote[2137].end 9640.19534375
transcript.pyannote[2138].speaker SPEAKER_17
transcript.pyannote[2138].start 9640.68471875
transcript.pyannote[2138].end 9640.75221875
transcript.pyannote[2139].speaker SPEAKER_18
transcript.pyannote[2139].start 9640.75221875
transcript.pyannote[2139].end 9640.85346875
transcript.pyannote[2140].speaker SPEAKER_17
transcript.pyannote[2140].start 9640.85346875
transcript.pyannote[2140].end 9640.87034375
transcript.pyannote[2141].speaker SPEAKER_18
transcript.pyannote[2141].start 9640.87034375
transcript.pyannote[2141].end 9648.76784375
transcript.pyannote[2142].speaker SPEAKER_26
transcript.pyannote[2142].start 9641.35971875
transcript.pyannote[2142].end 9641.47784375
transcript.pyannote[2143].speaker SPEAKER_17
transcript.pyannote[2143].start 9642.52409375
transcript.pyannote[2143].end 9643.97534375
transcript.pyannote[2144].speaker SPEAKER_26
transcript.pyannote[2144].start 9643.97534375
transcript.pyannote[2144].end 9644.31284375
transcript.pyannote[2145].speaker SPEAKER_17
transcript.pyannote[2145].start 9644.31284375
transcript.pyannote[2145].end 9644.34659375
transcript.pyannote[2146].speaker SPEAKER_17
transcript.pyannote[2146].start 9644.59971875
transcript.pyannote[2146].end 9644.63346875
transcript.pyannote[2147].speaker SPEAKER_26
transcript.pyannote[2147].start 9644.63346875
transcript.pyannote[2147].end 9646.72596875
transcript.pyannote[2148].speaker SPEAKER_26
transcript.pyannote[2148].start 9646.87784375
transcript.pyannote[2148].end 9648.88596875
transcript.pyannote[2149].speaker SPEAKER_26
transcript.pyannote[2149].start 9649.57784375
transcript.pyannote[2149].end 9651.60284375
transcript.pyannote[2150].speaker SPEAKER_26
transcript.pyannote[2150].start 9651.75471875
transcript.pyannote[2150].end 9655.46721875
transcript.pyannote[2151].speaker SPEAKER_26
transcript.pyannote[2151].start 9656.66534375
transcript.pyannote[2151].end 9657.96471875
transcript.pyannote[2152].speaker SPEAKER_26
transcript.pyannote[2152].start 9659.02784375
transcript.pyannote[2152].end 9661.47471875
transcript.pyannote[2153].speaker SPEAKER_26
transcript.pyannote[2153].start 9662.21721875
transcript.pyannote[2153].end 9667.14471875
transcript.pyannote[2154].speaker SPEAKER_26
transcript.pyannote[2154].start 9667.98846875
transcript.pyannote[2154].end 9668.86596875
transcript.pyannote[2155].speaker SPEAKER_18
transcript.pyannote[2155].start 9668.02221875
transcript.pyannote[2155].end 9670.55346875
transcript.pyannote[2156].speaker SPEAKER_26
transcript.pyannote[2156].start 9669.82784375
transcript.pyannote[2156].end 9670.11471875
transcript.pyannote[2157].speaker SPEAKER_26
transcript.pyannote[2157].start 9670.75596875
transcript.pyannote[2157].end 9674.28284375
transcript.pyannote[2158].speaker SPEAKER_26
transcript.pyannote[2158].start 9674.55284375
transcript.pyannote[2158].end 9677.10096875
transcript.pyannote[2159].speaker SPEAKER_26
transcript.pyannote[2159].start 9677.74221875
transcript.pyannote[2159].end 9680.25659375
transcript.pyannote[2160].speaker SPEAKER_26
transcript.pyannote[2160].start 9680.71221875
transcript.pyannote[2160].end 9681.20159375
transcript.pyannote[2161].speaker SPEAKER_18
transcript.pyannote[2161].start 9680.77971875
transcript.pyannote[2161].end 9691.15784375
transcript.pyannote[2162].speaker SPEAKER_26
transcript.pyannote[2162].start 9683.42909375
transcript.pyannote[2162].end 9684.01971875
transcript.pyannote[2163].speaker SPEAKER_26
transcript.pyannote[2163].start 9684.66096875
transcript.pyannote[2163].end 9686.04471875
transcript.pyannote[2164].speaker SPEAKER_26
transcript.pyannote[2164].start 9686.70284375
transcript.pyannote[2164].end 9689.65596875
transcript.pyannote[2165].speaker SPEAKER_26
transcript.pyannote[2165].start 9690.17909375
transcript.pyannote[2165].end 9693.28409375
transcript.pyannote[2166].speaker SPEAKER_18
transcript.pyannote[2166].start 9691.93409375
transcript.pyannote[2166].end 9696.74346875
transcript.pyannote[2167].speaker SPEAKER_26
transcript.pyannote[2167].start 9694.07721875
transcript.pyannote[2167].end 9694.75221875
transcript.pyannote[2168].speaker SPEAKER_26
transcript.pyannote[2168].start 9695.88284375
transcript.pyannote[2168].end 9697.30034375
transcript.pyannote[2169].speaker SPEAKER_26
transcript.pyannote[2169].start 9697.46909375
transcript.pyannote[2169].end 9698.02596875
transcript.pyannote[2170].speaker SPEAKER_18
transcript.pyannote[2170].start 9698.02596875
transcript.pyannote[2170].end 9698.07659375
transcript.pyannote[2171].speaker SPEAKER_26
transcript.pyannote[2171].start 9698.66721875
transcript.pyannote[2171].end 9700.11846875
transcript.pyannote[2172].speaker SPEAKER_26
transcript.pyannote[2172].start 9700.59096875
transcript.pyannote[2172].end 9701.67096875
transcript.pyannote[2173].speaker SPEAKER_26
transcript.pyannote[2173].start 9702.59909375
transcript.pyannote[2173].end 9703.13909375
transcript.pyannote[2174].speaker SPEAKER_26
transcript.pyannote[2174].start 9703.78034375
transcript.pyannote[2174].end 9705.07971875
transcript.pyannote[2175].speaker SPEAKER_26
transcript.pyannote[2175].start 9706.14284375
transcript.pyannote[2175].end 9707.61096875
transcript.pyannote[2176].speaker SPEAKER_26
transcript.pyannote[2176].start 9708.03284375
transcript.pyannote[2176].end 9709.45034375
transcript.pyannote[2177].speaker SPEAKER_26
transcript.pyannote[2177].start 9710.93534375
transcript.pyannote[2177].end 9711.84659375
transcript.pyannote[2178].speaker SPEAKER_26
transcript.pyannote[2178].start 9712.40346875
transcript.pyannote[2178].end 9714.76596875
transcript.pyannote[2179].speaker SPEAKER_26
transcript.pyannote[2179].start 9715.06971875
transcript.pyannote[2179].end 9718.05659375
transcript.pyannote[2180].speaker SPEAKER_26
transcript.pyannote[2180].start 9718.27596875
transcript.pyannote[2180].end 9723.70971875
transcript.pyannote[2181].speaker SPEAKER_26
transcript.pyannote[2181].start 9724.26659375
transcript.pyannote[2181].end 9725.31284375
transcript.pyannote[2182].speaker SPEAKER_26
transcript.pyannote[2182].start 9727.23659375
transcript.pyannote[2182].end 9729.58221875
transcript.pyannote[2183].speaker SPEAKER_26
transcript.pyannote[2183].start 9730.51034375
transcript.pyannote[2183].end 9734.17221875
transcript.pyannote[2184].speaker SPEAKER_26
transcript.pyannote[2184].start 9735.65721875
transcript.pyannote[2184].end 9736.73721875
transcript.pyannote[2185].speaker SPEAKER_29
transcript.pyannote[2185].start 9737.86784375
transcript.pyannote[2185].end 9738.50909375
transcript.pyannote[2186].speaker SPEAKER_26
transcript.pyannote[2186].start 9738.07034375
transcript.pyannote[2186].end 9741.91784375
transcript.pyannote[2187].speaker SPEAKER_26
transcript.pyannote[2187].start 9742.27221875
transcript.pyannote[2187].end 9742.64346875
transcript.pyannote[2188].speaker SPEAKER_26
transcript.pyannote[2188].start 9743.20034375
transcript.pyannote[2188].end 9744.85409375
transcript.pyannote[2189].speaker SPEAKER_26
transcript.pyannote[2189].start 9745.93409375
transcript.pyannote[2189].end 9749.44409375
transcript.pyannote[2190].speaker SPEAKER_18
transcript.pyannote[2190].start 9749.84909375
transcript.pyannote[2190].end 9757.13909375
transcript.pyannote[2191].speaker SPEAKER_26
transcript.pyannote[2191].start 9750.25409375
transcript.pyannote[2191].end 9750.42284375
transcript.pyannote[2192].speaker SPEAKER_26
transcript.pyannote[2192].start 9752.59971875
transcript.pyannote[2192].end 9754.28721875
transcript.pyannote[2193].speaker SPEAKER_26
transcript.pyannote[2193].start 9754.74284375
transcript.pyannote[2193].end 9757.20659375
transcript.pyannote[2194].speaker SPEAKER_18
transcript.pyannote[2194].start 9757.54409375
transcript.pyannote[2194].end 9759.31596875
transcript.pyannote[2195].speaker SPEAKER_26
transcript.pyannote[2195].start 9757.56096875
transcript.pyannote[2195].end 9758.69159375
transcript.pyannote[2196].speaker SPEAKER_26
transcript.pyannote[2196].start 9759.60284375
transcript.pyannote[2196].end 9763.28159375
transcript.pyannote[2197].speaker SPEAKER_26
transcript.pyannote[2197].start 9763.73721875
transcript.pyannote[2197].end 9764.58096875
transcript.pyannote[2198].speaker SPEAKER_18
transcript.pyannote[2198].start 9765.25596875
transcript.pyannote[2198].end 9765.37409375
transcript.pyannote[2199].speaker SPEAKER_26
transcript.pyannote[2199].start 9765.37409375
transcript.pyannote[2199].end 9766.08284375
transcript.pyannote[2200].speaker SPEAKER_18
transcript.pyannote[2200].start 9765.39096875
transcript.pyannote[2200].end 9765.93096875
transcript.pyannote[2201].speaker SPEAKER_26
transcript.pyannote[2201].start 9766.33596875
transcript.pyannote[2201].end 9771.39846875
transcript.pyannote[2202].speaker SPEAKER_26
transcript.pyannote[2202].start 9772.15784375
transcript.pyannote[2202].end 9775.88721875
transcript.pyannote[2203].speaker SPEAKER_26
transcript.pyannote[2203].start 9776.27534375
transcript.pyannote[2203].end 9779.43096875
transcript.pyannote[2204].speaker SPEAKER_26
transcript.pyannote[2204].start 9780.22409375
transcript.pyannote[2204].end 9782.99159375
transcript.pyannote[2205].speaker SPEAKER_26
transcript.pyannote[2205].start 9783.34596875
transcript.pyannote[2205].end 9784.24034375
transcript.pyannote[2206].speaker SPEAKER_26
transcript.pyannote[2206].start 9784.44284375
transcript.pyannote[2206].end 9785.10096875
transcript.pyannote[2207].speaker SPEAKER_26
transcript.pyannote[2207].start 9785.60721875
transcript.pyannote[2207].end 9787.21034375
transcript.pyannote[2208].speaker SPEAKER_26
transcript.pyannote[2208].start 9787.76721875
transcript.pyannote[2208].end 9788.50971875
transcript.pyannote[2209].speaker SPEAKER_26
transcript.pyannote[2209].start 9788.96534375
transcript.pyannote[2209].end 9789.97784375
transcript.pyannote[2210].speaker SPEAKER_26
transcript.pyannote[2210].start 9790.61909375
transcript.pyannote[2210].end 9794.60159375
transcript.pyannote[2211].speaker SPEAKER_26
transcript.pyannote[2211].start 9795.14159375
transcript.pyannote[2211].end 9796.86284375
transcript.pyannote[2212].speaker SPEAKER_26
transcript.pyannote[2212].start 9797.62221875
transcript.pyannote[2212].end 9800.23784375
transcript.pyannote[2213].speaker SPEAKER_26
transcript.pyannote[2213].start 9800.84534375
transcript.pyannote[2213].end 9802.61721875
transcript.pyannote[2214].speaker SPEAKER_26
transcript.pyannote[2214].start 9803.66346875
transcript.pyannote[2214].end 9807.12284375
transcript.pyannote[2215].speaker SPEAKER_26
transcript.pyannote[2215].start 9808.62471875
transcript.pyannote[2215].end 9810.14346875
transcript.pyannote[2216].speaker SPEAKER_26
transcript.pyannote[2216].start 9810.85221875
transcript.pyannote[2216].end 9811.66221875
transcript.pyannote[2217].speaker SPEAKER_26
transcript.pyannote[2217].start 9812.64096875
transcript.pyannote[2217].end 9815.27346875
transcript.pyannote[2218].speaker SPEAKER_26
transcript.pyannote[2218].start 9815.74596875
transcript.pyannote[2218].end 9820.09971875
transcript.pyannote[2219].speaker SPEAKER_00
transcript.pyannote[2219].start 9817.18034375
transcript.pyannote[2219].end 9818.37846875
transcript.pyannote[2220].speaker SPEAKER_26
transcript.pyannote[2220].start 9820.79159375
transcript.pyannote[2220].end 9824.36909375
transcript.pyannote[2221].speaker SPEAKER_26
transcript.pyannote[2221].start 9825.16221875
transcript.pyannote[2221].end 9829.19534375
transcript.pyannote[2222].speaker SPEAKER_26
transcript.pyannote[2222].start 9830.15721875
transcript.pyannote[2222].end 9835.59096875
transcript.pyannote[2223].speaker SPEAKER_26
transcript.pyannote[2223].start 9835.86096875
transcript.pyannote[2223].end 9837.93659375
transcript.pyannote[2224].speaker SPEAKER_26
transcript.pyannote[2224].start 9838.96596875
transcript.pyannote[2224].end 9846.84659375
transcript.pyannote[2225].speaker SPEAKER_26
transcript.pyannote[2225].start 9847.75784375
transcript.pyannote[2225].end 9851.58846875
transcript.pyannote[2226].speaker SPEAKER_26
transcript.pyannote[2226].start 9852.66846875
transcript.pyannote[2226].end 9854.22096875
transcript.pyannote[2227].speaker SPEAKER_26
transcript.pyannote[2227].start 9854.79471875
transcript.pyannote[2227].end 9855.89159375
transcript.pyannote[2228].speaker SPEAKER_26
transcript.pyannote[2228].start 9856.70159375
transcript.pyannote[2228].end 9857.49471875
transcript.pyannote[2229].speaker SPEAKER_26
transcript.pyannote[2229].start 9857.84909375
transcript.pyannote[2229].end 9859.45221875
transcript.pyannote[2230].speaker SPEAKER_26
transcript.pyannote[2230].start 9859.68846875
transcript.pyannote[2230].end 9864.17721875
transcript.pyannote[2231].speaker SPEAKER_26
transcript.pyannote[2231].start 9864.66659375
transcript.pyannote[2231].end 9865.54409375
transcript.pyannote[2232].speaker SPEAKER_26
transcript.pyannote[2232].start 9866.05034375
transcript.pyannote[2232].end 9866.43846875
transcript.pyannote[2233].speaker SPEAKER_18
transcript.pyannote[2233].start 9866.15159375
transcript.pyannote[2233].end 9868.90221875
transcript.pyannote[2234].speaker SPEAKER_26
transcript.pyannote[2234].start 9867.46784375
transcript.pyannote[2234].end 9868.32846875
transcript.pyannote[2235].speaker SPEAKER_26
transcript.pyannote[2235].start 9868.73346875
transcript.pyannote[2235].end 9873.91409375
transcript.pyannote[2236].speaker SPEAKER_26
transcript.pyannote[2236].start 9874.20096875
transcript.pyannote[2236].end 9876.07409375
transcript.pyannote[2237].speaker SPEAKER_26
transcript.pyannote[2237].start 9876.51284375
transcript.pyannote[2237].end 9878.99346875
transcript.pyannote[2238].speaker SPEAKER_26
transcript.pyannote[2238].start 9879.21284375
transcript.pyannote[2238].end 9879.38159375
transcript.pyannote[2239].speaker SPEAKER_28
transcript.pyannote[2239].start 9879.65159375
transcript.pyannote[2239].end 9879.68534375
transcript.pyannote[2240].speaker SPEAKER_26
transcript.pyannote[2240].start 9879.68534375
transcript.pyannote[2240].end 9881.01846875
transcript.pyannote[2241].speaker SPEAKER_26
transcript.pyannote[2241].start 9881.40659375
transcript.pyannote[2241].end 9881.81159375
transcript.pyannote[2242].speaker SPEAKER_26
transcript.pyannote[2242].start 9882.13221875
transcript.pyannote[2242].end 9883.48221875
transcript.pyannote[2243].speaker SPEAKER_18
transcript.pyannote[2243].start 9882.70596875
transcript.pyannote[2243].end 9883.36409375
transcript.pyannote[2244].speaker SPEAKER_18
transcript.pyannote[2244].start 9883.48221875
transcript.pyannote[2244].end 9883.93784375
transcript.pyannote[2245].speaker SPEAKER_26
transcript.pyannote[2245].start 9883.87034375
transcript.pyannote[2245].end 9886.84034375
transcript.pyannote[2246].speaker SPEAKER_26
transcript.pyannote[2246].start 9887.21159375
transcript.pyannote[2246].end 9889.72596875
transcript.pyannote[2247].speaker SPEAKER_26
transcript.pyannote[2247].start 9889.94534375
transcript.pyannote[2247].end 9890.62034375
transcript.pyannote[2248].speaker SPEAKER_26
transcript.pyannote[2248].start 9890.67096875
transcript.pyannote[2248].end 9893.99534375
transcript.pyannote[2249].speaker SPEAKER_26
transcript.pyannote[2249].start 9895.09221875
transcript.pyannote[2249].end 9896.02034375
transcript.pyannote[2250].speaker SPEAKER_26
transcript.pyannote[2250].start 9896.22284375
transcript.pyannote[2250].end 9898.02846875
transcript.pyannote[2251].speaker SPEAKER_26
transcript.pyannote[2251].start 9898.11284375
transcript.pyannote[2251].end 9909.57096875
transcript.pyannote[2252].speaker SPEAKER_18
transcript.pyannote[2252].start 9902.07846875
transcript.pyannote[2252].end 9903.85034375
transcript.pyannote[2253].speaker SPEAKER_00
transcript.pyannote[2253].start 9903.85034375
transcript.pyannote[2253].end 9903.96846875
transcript.pyannote[2254].speaker SPEAKER_00
transcript.pyannote[2254].start 9904.35659375
transcript.pyannote[2254].end 9904.45784375
transcript.pyannote[2255].speaker SPEAKER_18
transcript.pyannote[2255].start 9904.45784375
transcript.pyannote[2255].end 9904.52534375
transcript.pyannote[2256].speaker SPEAKER_18
transcript.pyannote[2256].start 9907.86659375
transcript.pyannote[2256].end 9911.41034375
transcript.pyannote[2257].speaker SPEAKER_26
transcript.pyannote[2257].start 9909.94221875
transcript.pyannote[2257].end 9910.49909375
transcript.pyannote[2258].speaker SPEAKER_26
transcript.pyannote[2258].start 9911.41034375
transcript.pyannote[2258].end 9924.50534375
transcript.pyannote[2259].speaker SPEAKER_18
transcript.pyannote[2259].start 9911.42721875
transcript.pyannote[2259].end 9911.46096875
transcript.pyannote[2260].speaker SPEAKER_18
transcript.pyannote[2260].start 9912.33846875
transcript.pyannote[2260].end 9913.45221875
transcript.pyannote[2261].speaker SPEAKER_26
transcript.pyannote[2261].start 9924.65721875
transcript.pyannote[2261].end 9926.41221875
transcript.pyannote[2262].speaker SPEAKER_18
transcript.pyannote[2262].start 9926.02409375
transcript.pyannote[2262].end 9927.08721875
transcript.pyannote[2263].speaker SPEAKER_18
transcript.pyannote[2263].start 9927.25596875
transcript.pyannote[2263].end 9927.27284375
transcript.pyannote[2264].speaker SPEAKER_26
transcript.pyannote[2264].start 9927.27284375
transcript.pyannote[2264].end 9929.12909375
transcript.pyannote[2265].speaker SPEAKER_18
transcript.pyannote[2265].start 9927.37409375
transcript.pyannote[2265].end 9928.74096875
transcript.pyannote[2266].speaker SPEAKER_18
transcript.pyannote[2266].start 9929.12909375
transcript.pyannote[2266].end 9929.14596875
transcript.pyannote[2267].speaker SPEAKER_26
transcript.pyannote[2267].start 9929.85471875
transcript.pyannote[2267].end 9931.03596875
transcript.pyannote[2268].speaker SPEAKER_18
transcript.pyannote[2268].start 9931.03596875
transcript.pyannote[2268].end 9932.08221875
transcript.pyannote[2269].speaker SPEAKER_18
transcript.pyannote[2269].start 9932.38596875
transcript.pyannote[2269].end 9934.96784375
transcript.pyannote[2270].speaker SPEAKER_18
transcript.pyannote[2270].start 9935.40659375
transcript.pyannote[2270].end 9936.30096875
transcript.pyannote[2271].speaker SPEAKER_18
transcript.pyannote[2271].start 9936.46971875
transcript.pyannote[2271].end 9936.79034375
transcript.pyannote[2272].speaker SPEAKER_18
transcript.pyannote[2272].start 9937.36409375
transcript.pyannote[2272].end 9939.28784375
transcript.pyannote[2273].speaker SPEAKER_26
transcript.pyannote[2273].start 9945.24471875
transcript.pyannote[2273].end 9948.51846875
transcript.pyannote[2274].speaker SPEAKER_10
transcript.pyannote[2274].start 9945.71721875
transcript.pyannote[2274].end 9946.10534375
transcript.pyannote[2275].speaker SPEAKER_10
transcript.pyannote[2275].start 9947.03346875
transcript.pyannote[2275].end 9948.07971875
transcript.pyannote[2276].speaker SPEAKER_10
transcript.pyannote[2276].start 9948.51846875
transcript.pyannote[2276].end 9949.54784375
transcript.pyannote[2277].speaker SPEAKER_26
transcript.pyannote[2277].start 9950.03721875
transcript.pyannote[2277].end 9952.36596875
transcript.pyannote[2278].speaker SPEAKER_26
transcript.pyannote[2278].start 9953.54721875
transcript.pyannote[2278].end 9955.03221875
transcript.pyannote[2279].speaker SPEAKER_26
transcript.pyannote[2279].start 9955.92659375
transcript.pyannote[2279].end 9956.61846875
transcript.pyannote[2280].speaker SPEAKER_26
transcript.pyannote[2280].start 9957.09096875
transcript.pyannote[2280].end 9958.91346875
transcript.pyannote[2281].speaker SPEAKER_26
transcript.pyannote[2281].start 9959.85846875
transcript.pyannote[2281].end 9960.66846875
transcript.pyannote[2282].speaker SPEAKER_26
transcript.pyannote[2282].start 9960.97221875
transcript.pyannote[2282].end 9961.64721875
transcript.pyannote[2283].speaker SPEAKER_26
transcript.pyannote[2283].start 9962.17034375
transcript.pyannote[2283].end 9963.25034375
transcript.pyannote[2284].speaker SPEAKER_26
transcript.pyannote[2284].start 9963.62159375
transcript.pyannote[2284].end 9965.14034375
transcript.pyannote[2285].speaker SPEAKER_26
transcript.pyannote[2285].start 9965.39346875
transcript.pyannote[2285].end 9965.78159375
transcript.pyannote[2286].speaker SPEAKER_18
transcript.pyannote[2286].start 9965.73096875
transcript.pyannote[2286].end 9967.68846875
transcript.pyannote[2287].speaker SPEAKER_18
transcript.pyannote[2287].start 9974.79284375
transcript.pyannote[2287].end 9975.97409375
transcript.pyannote[2288].speaker SPEAKER_01
transcript.pyannote[2288].start 9976.68284375
transcript.pyannote[2288].end 9978.40409375
transcript.pyannote[2289].speaker SPEAKER_18
transcript.pyannote[2289].start 9977.32409375
transcript.pyannote[2289].end 9978.52221875
transcript.pyannote[2290].speaker SPEAKER_34
transcript.pyannote[2290].start 9980.46284375
transcript.pyannote[2290].end 9982.04909375
transcript.pyannote[2291].speaker SPEAKER_34
transcript.pyannote[2291].start 9991.41471875
transcript.pyannote[2291].end 9993.32159375
transcript.pyannote[2292].speaker SPEAKER_34
transcript.pyannote[2292].start 9995.92034375
transcript.pyannote[2292].end 9996.51096875
transcript.pyannote[2293].speaker SPEAKER_34
transcript.pyannote[2293].start 9998.09721875
transcript.pyannote[2293].end 10003.21034375
transcript.pyannote[2294].speaker SPEAKER_00
transcript.pyannote[2294].start 9998.48534375
transcript.pyannote[2294].end 9998.89034375
transcript.pyannote[2295].speaker SPEAKER_10
transcript.pyannote[2295].start 10012.00221875
transcript.pyannote[2295].end 10012.33971875
transcript.pyannote[2296].speaker SPEAKER_10
transcript.pyannote[2296].start 10012.50846875
transcript.pyannote[2296].end 10013.60534375
transcript.pyannote[2297].speaker SPEAKER_10
transcript.pyannote[2297].start 10014.17909375
transcript.pyannote[2297].end 10018.07721875
transcript.pyannote[2298].speaker SPEAKER_10
transcript.pyannote[2298].start 10021.28346875
transcript.pyannote[2298].end 10023.20721875
transcript.pyannote[2299].speaker SPEAKER_10
transcript.pyannote[2299].start 10023.46034375
transcript.pyannote[2299].end 10024.01721875
transcript.pyannote[2300].speaker SPEAKER_10
transcript.pyannote[2300].start 10026.41346875
transcript.pyannote[2300].end 10027.39221875
transcript.pyannote[2301].speaker SPEAKER_10
transcript.pyannote[2301].start 10028.11784375
transcript.pyannote[2301].end 10032.77534375
transcript.pyannote[2302].speaker SPEAKER_29
transcript.pyannote[2302].start 10030.71659375
transcript.pyannote[2302].end 10031.20596875
transcript.pyannote[2303].speaker SPEAKER_10
transcript.pyannote[2303].start 10033.19721875
transcript.pyannote[2303].end 10034.73284375
transcript.pyannote[2304].speaker SPEAKER_10
transcript.pyannote[2304].start 10035.23909375
transcript.pyannote[2304].end 10036.99409375
transcript.pyannote[2305].speaker SPEAKER_10
transcript.pyannote[2305].start 10037.39909375
transcript.pyannote[2305].end 10038.12471875
transcript.pyannote[2306].speaker SPEAKER_10
transcript.pyannote[2306].start 10038.29346875
transcript.pyannote[2306].end 10040.65596875
transcript.pyannote[2307].speaker SPEAKER_10
transcript.pyannote[2307].start 10041.09471875
transcript.pyannote[2307].end 10041.87096875
transcript.pyannote[2308].speaker SPEAKER_10
transcript.pyannote[2308].start 10042.07346875
transcript.pyannote[2308].end 10044.33471875
transcript.pyannote[2309].speaker SPEAKER_10
transcript.pyannote[2309].start 10044.89159375
transcript.pyannote[2309].end 10046.02221875
transcript.pyannote[2310].speaker SPEAKER_10
transcript.pyannote[2310].start 10046.81534375
transcript.pyannote[2310].end 10047.79409375
transcript.pyannote[2311].speaker SPEAKER_10
transcript.pyannote[2311].start 10048.11471875
transcript.pyannote[2311].end 10049.05971875
transcript.pyannote[2312].speaker SPEAKER_10
transcript.pyannote[2312].start 10049.54909375
transcript.pyannote[2312].end 10051.16909375
transcript.pyannote[2313].speaker SPEAKER_10
transcript.pyannote[2313].start 10051.50659375
transcript.pyannote[2313].end 10052.89034375
transcript.pyannote[2314].speaker SPEAKER_10
transcript.pyannote[2314].start 10053.31221875
transcript.pyannote[2314].end 10054.69596875
transcript.pyannote[2315].speaker SPEAKER_10
transcript.pyannote[2315].start 10055.21909375
transcript.pyannote[2315].end 10058.86409375
transcript.pyannote[2316].speaker SPEAKER_10
transcript.pyannote[2316].start 10059.15096875
transcript.pyannote[2316].end 10060.58534375
transcript.pyannote[2317].speaker SPEAKER_15
transcript.pyannote[2317].start 10060.56846875
transcript.pyannote[2317].end 10062.45846875
transcript.pyannote[2318].speaker SPEAKER_10
transcript.pyannote[2318].start 10060.60221875
transcript.pyannote[2318].end 10060.61909375
transcript.pyannote[2319].speaker SPEAKER_10
transcript.pyannote[2319].start 10061.53034375
transcript.pyannote[2319].end 10062.57659375
transcript.pyannote[2320].speaker SPEAKER_15
transcript.pyannote[2320].start 10062.57659375
transcript.pyannote[2320].end 10062.96471875
transcript.pyannote[2321].speaker SPEAKER_10
transcript.pyannote[2321].start 10062.96471875
transcript.pyannote[2321].end 10062.98159375
transcript.pyannote[2322].speaker SPEAKER_15
transcript.pyannote[2322].start 10062.98159375
transcript.pyannote[2322].end 10063.28534375
transcript.pyannote[2323].speaker SPEAKER_10
transcript.pyannote[2323].start 10063.28534375
transcript.pyannote[2323].end 10065.25971875
transcript.pyannote[2324].speaker SPEAKER_10
transcript.pyannote[2324].start 10065.69846875
transcript.pyannote[2324].end 10070.69346875
transcript.pyannote[2325].speaker SPEAKER_10
transcript.pyannote[2325].start 10071.13221875
transcript.pyannote[2325].end 10074.38909375
transcript.pyannote[2326].speaker SPEAKER_10
transcript.pyannote[2326].start 10074.64221875
transcript.pyannote[2326].end 10075.90784375
transcript.pyannote[2327].speaker SPEAKER_10
transcript.pyannote[2327].start 10076.34659375
transcript.pyannote[2327].end 10078.03409375
transcript.pyannote[2328].speaker SPEAKER_10
transcript.pyannote[2328].start 10078.11846875
transcript.pyannote[2328].end 10078.89471875
transcript.pyannote[2329].speaker SPEAKER_10
transcript.pyannote[2329].start 10079.46846875
transcript.pyannote[2329].end 10079.95784375
transcript.pyannote[2330].speaker SPEAKER_10
transcript.pyannote[2330].start 10080.43034375
transcript.pyannote[2330].end 10081.57784375
transcript.pyannote[2331].speaker SPEAKER_10
transcript.pyannote[2331].start 10082.03346875
transcript.pyannote[2331].end 10082.79284375
transcript.pyannote[2332].speaker SPEAKER_10
transcript.pyannote[2332].start 10083.14721875
transcript.pyannote[2332].end 10084.88534375
transcript.pyannote[2333].speaker SPEAKER_10
transcript.pyannote[2333].start 10085.17221875
transcript.pyannote[2333].end 10086.18471875
transcript.pyannote[2334].speaker SPEAKER_10
transcript.pyannote[2334].start 10086.57284375
transcript.pyannote[2334].end 10088.09159375
transcript.pyannote[2335].speaker SPEAKER_10
transcript.pyannote[2335].start 10088.69909375
transcript.pyannote[2335].end 10089.18846875
transcript.pyannote[2336].speaker SPEAKER_10
transcript.pyannote[2336].start 10089.55971875
transcript.pyannote[2336].end 10090.53846875
transcript.pyannote[2337].speaker SPEAKER_10
transcript.pyannote[2337].start 10091.12909375
transcript.pyannote[2337].end 10092.09096875
transcript.pyannote[2338].speaker SPEAKER_10
transcript.pyannote[2338].start 10092.52971875
transcript.pyannote[2338].end 10093.93034375
transcript.pyannote[2339].speaker SPEAKER_10
transcript.pyannote[2339].start 10094.26784375
transcript.pyannote[2339].end 10095.02721875
transcript.pyannote[2340].speaker SPEAKER_15
transcript.pyannote[2340].start 10095.02721875
transcript.pyannote[2340].end 10096.29284375
transcript.pyannote[2341].speaker SPEAKER_15
transcript.pyannote[2341].start 10096.59659375
transcript.pyannote[2341].end 10101.99659375
transcript.pyannote[2342].speaker SPEAKER_15
transcript.pyannote[2342].start 10102.13159375
transcript.pyannote[2342].end 10105.18596875
transcript.pyannote[2343].speaker SPEAKER_15
transcript.pyannote[2343].start 10105.64159375
transcript.pyannote[2343].end 10113.57284375
transcript.pyannote[2344].speaker SPEAKER_15
transcript.pyannote[2344].start 10113.94409375
transcript.pyannote[2344].end 10127.19096875
transcript.pyannote[2345].speaker SPEAKER_10
transcript.pyannote[2345].start 10127.19096875
transcript.pyannote[2345].end 10127.20784375
transcript.pyannote[2346].speaker SPEAKER_10
transcript.pyannote[2346].start 10127.32596875
transcript.pyannote[2346].end 10127.73096875
transcript.pyannote[2347].speaker SPEAKER_15
transcript.pyannote[2347].start 10127.73096875
transcript.pyannote[2347].end 10128.96284375
transcript.pyannote[2348].speaker SPEAKER_10
transcript.pyannote[2348].start 10128.96284375
transcript.pyannote[2348].end 10129.09784375
transcript.pyannote[2349].speaker SPEAKER_10
transcript.pyannote[2349].start 10129.46909375
transcript.pyannote[2349].end 10132.82721875
transcript.pyannote[2350].speaker SPEAKER_10
transcript.pyannote[2350].start 10133.26596875
transcript.pyannote[2350].end 10134.83534375
transcript.pyannote[2351].speaker SPEAKER_10
transcript.pyannote[2351].start 10134.93659375
transcript.pyannote[2351].end 10137.72096875
transcript.pyannote[2352].speaker SPEAKER_10
transcript.pyannote[2352].start 10138.19346875
transcript.pyannote[2352].end 10139.25659375
transcript.pyannote[2353].speaker SPEAKER_10
transcript.pyannote[2353].start 10139.57721875
transcript.pyannote[2353].end 10145.24721875
transcript.pyannote[2354].speaker SPEAKER_10
transcript.pyannote[2354].start 10145.83784375
transcript.pyannote[2354].end 10147.01909375
transcript.pyannote[2355].speaker SPEAKER_10
transcript.pyannote[2355].start 10147.42409375
transcript.pyannote[2355].end 10149.65159375
transcript.pyannote[2356].speaker SPEAKER_10
transcript.pyannote[2356].start 10150.15784375
transcript.pyannote[2356].end 10151.52471875
transcript.pyannote[2357].speaker SPEAKER_10
transcript.pyannote[2357].start 10151.86221875
transcript.pyannote[2357].end 10153.61721875
transcript.pyannote[2358].speaker SPEAKER_10
transcript.pyannote[2358].start 10153.92096875
transcript.pyannote[2358].end 10154.93346875
transcript.pyannote[2359].speaker SPEAKER_10
transcript.pyannote[2359].start 10155.05159375
transcript.pyannote[2359].end 10156.03034375
transcript.pyannote[2360].speaker SPEAKER_15
transcript.pyannote[2360].start 10156.03034375
transcript.pyannote[2360].end 10156.62096875
transcript.pyannote[2361].speaker SPEAKER_10
transcript.pyannote[2361].start 10157.04284375
transcript.pyannote[2361].end 10157.07659375
transcript.pyannote[2362].speaker SPEAKER_15
transcript.pyannote[2362].start 10157.07659375
transcript.pyannote[2362].end 10157.80221875
transcript.pyannote[2363].speaker SPEAKER_10
transcript.pyannote[2363].start 10157.93721875
transcript.pyannote[2363].end 10157.97096875
transcript.pyannote[2364].speaker SPEAKER_15
transcript.pyannote[2364].start 10157.97096875
transcript.pyannote[2364].end 10204.96784375
transcript.pyannote[2365].speaker SPEAKER_10
transcript.pyannote[2365].start 10162.18971875
transcript.pyannote[2365].end 10162.56096875
transcript.pyannote[2366].speaker SPEAKER_10
transcript.pyannote[2366].start 10205.22096875
transcript.pyannote[2366].end 10207.61721875
transcript.pyannote[2367].speaker SPEAKER_10
transcript.pyannote[2367].start 10207.78596875
transcript.pyannote[2367].end 10207.85346875
transcript.pyannote[2368].speaker SPEAKER_10
transcript.pyannote[2368].start 10208.19096875
transcript.pyannote[2368].end 10214.01284375
transcript.pyannote[2369].speaker SPEAKER_10
transcript.pyannote[2369].start 10215.02534375
transcript.pyannote[2369].end 10217.26971875
transcript.pyannote[2370].speaker SPEAKER_10
transcript.pyannote[2370].start 10217.86034375
transcript.pyannote[2370].end 10219.09221875
transcript.pyannote[2371].speaker SPEAKER_10
transcript.pyannote[2371].start 10219.32846875
transcript.pyannote[2371].end 10221.58971875
transcript.pyannote[2372].speaker SPEAKER_10
transcript.pyannote[2372].start 10221.62346875
transcript.pyannote[2372].end 10222.58534375
transcript.pyannote[2373].speaker SPEAKER_10
transcript.pyannote[2373].start 10222.95659375
transcript.pyannote[2373].end 10223.47971875
transcript.pyannote[2374].speaker SPEAKER_10
transcript.pyannote[2374].start 10223.86784375
transcript.pyannote[2374].end 10224.54284375
transcript.pyannote[2375].speaker SPEAKER_10
transcript.pyannote[2375].start 10224.69471875
transcript.pyannote[2375].end 10225.96034375
transcript.pyannote[2376].speaker SPEAKER_10
transcript.pyannote[2376].start 10226.48346875
transcript.pyannote[2376].end 10228.82909375
transcript.pyannote[2377].speaker SPEAKER_10
transcript.pyannote[2377].start 10229.16659375
transcript.pyannote[2377].end 10230.06096875
transcript.pyannote[2378].speaker SPEAKER_10
transcript.pyannote[2378].start 10230.34784375
transcript.pyannote[2378].end 10233.92534375
transcript.pyannote[2379].speaker SPEAKER_10
transcript.pyannote[2379].start 10234.66784375
transcript.pyannote[2379].end 10235.52846875
transcript.pyannote[2380].speaker SPEAKER_10
transcript.pyannote[2380].start 10235.95034375
transcript.pyannote[2380].end 10236.69284375
transcript.pyannote[2381].speaker SPEAKER_10
transcript.pyannote[2381].start 10236.79409375
transcript.pyannote[2381].end 10237.65471875
transcript.pyannote[2382].speaker SPEAKER_10
transcript.pyannote[2382].start 10237.94159375
transcript.pyannote[2382].end 10239.69659375
transcript.pyannote[2383].speaker SPEAKER_10
transcript.pyannote[2383].start 10239.91596875
transcript.pyannote[2383].end 10241.85659375
transcript.pyannote[2384].speaker SPEAKER_10
transcript.pyannote[2384].start 10242.00846875
transcript.pyannote[2384].end 10244.60721875
transcript.pyannote[2385].speaker SPEAKER_10
transcript.pyannote[2385].start 10245.06284375
transcript.pyannote[2385].end 10245.77159375
transcript.pyannote[2386].speaker SPEAKER_10
transcript.pyannote[2386].start 10246.09221875
transcript.pyannote[2386].end 10247.32409375
transcript.pyannote[2387].speaker SPEAKER_10
transcript.pyannote[2387].start 10247.83034375
transcript.pyannote[2387].end 10251.12096875
transcript.pyannote[2388].speaker SPEAKER_10
transcript.pyannote[2388].start 10251.64409375
transcript.pyannote[2388].end 10254.04034375
transcript.pyannote[2389].speaker SPEAKER_10
transcript.pyannote[2389].start 10254.69846875
transcript.pyannote[2389].end 10257.39846875
transcript.pyannote[2390].speaker SPEAKER_10
transcript.pyannote[2390].start 10258.19159375
transcript.pyannote[2390].end 10260.75659375
transcript.pyannote[2391].speaker SPEAKER_10
transcript.pyannote[2391].start 10260.87471875
transcript.pyannote[2391].end 10263.06846875
transcript.pyannote[2392].speaker SPEAKER_10
transcript.pyannote[2392].start 10263.28784375
transcript.pyannote[2392].end 10265.12721875
transcript.pyannote[2393].speaker SPEAKER_10
transcript.pyannote[2393].start 10265.27909375
transcript.pyannote[2393].end 10268.35034375
transcript.pyannote[2394].speaker SPEAKER_10
transcript.pyannote[2394].start 10268.62034375
transcript.pyannote[2394].end 10270.44284375
transcript.pyannote[2395].speaker SPEAKER_10
transcript.pyannote[2395].start 10270.79721875
transcript.pyannote[2395].end 10272.21471875
transcript.pyannote[2396].speaker SPEAKER_10
transcript.pyannote[2396].start 10272.43409375
transcript.pyannote[2396].end 10274.07096875
transcript.pyannote[2397].speaker SPEAKER_10
transcript.pyannote[2397].start 10274.34096875
transcript.pyannote[2397].end 10275.57284375
transcript.pyannote[2398].speaker SPEAKER_10
transcript.pyannote[2398].start 10275.74159375
transcript.pyannote[2398].end 10277.51346875
transcript.pyannote[2399].speaker SPEAKER_10
transcript.pyannote[2399].start 10277.81721875
transcript.pyannote[2399].end 10279.25159375
transcript.pyannote[2400].speaker SPEAKER_10
transcript.pyannote[2400].start 10279.62284375
transcript.pyannote[2400].end 10281.17534375
transcript.pyannote[2401].speaker SPEAKER_10
transcript.pyannote[2401].start 10281.73221875
transcript.pyannote[2401].end 10282.39034375
transcript.pyannote[2402].speaker SPEAKER_10
transcript.pyannote[2402].start 10282.93034375
transcript.pyannote[2402].end 10283.41971875
transcript.pyannote[2403].speaker SPEAKER_10
transcript.pyannote[2403].start 10283.95971875
transcript.pyannote[2403].end 10284.73596875
transcript.pyannote[2404].speaker SPEAKER_10
transcript.pyannote[2404].start 10285.03971875
transcript.pyannote[2404].end 10285.79909375
transcript.pyannote[2405].speaker SPEAKER_10
transcript.pyannote[2405].start 10286.00159375
transcript.pyannote[2405].end 10287.68909375
transcript.pyannote[2406].speaker SPEAKER_10
transcript.pyannote[2406].start 10288.33034375
transcript.pyannote[2406].end 10288.97159375
transcript.pyannote[2407].speaker SPEAKER_10
transcript.pyannote[2407].start 10289.08971875
transcript.pyannote[2407].end 10290.03471875
transcript.pyannote[2408].speaker SPEAKER_10
transcript.pyannote[2408].start 10290.08534375
transcript.pyannote[2408].end 10290.92909375
transcript.pyannote[2409].speaker SPEAKER_10
transcript.pyannote[2409].start 10291.23284375
transcript.pyannote[2409].end 10293.25784375
transcript.pyannote[2410].speaker SPEAKER_10
transcript.pyannote[2410].start 10293.35909375
transcript.pyannote[2410].end 10294.79346875
transcript.pyannote[2411].speaker SPEAKER_10
transcript.pyannote[2411].start 10295.04659375
transcript.pyannote[2411].end 10299.16409375
transcript.pyannote[2412].speaker SPEAKER_10
transcript.pyannote[2412].start 10299.33284375
transcript.pyannote[2412].end 10301.10471875
transcript.pyannote[2413].speaker SPEAKER_15
transcript.pyannote[2413].start 10301.76284375
transcript.pyannote[2413].end 10302.80909375
transcript.pyannote[2414].speaker SPEAKER_15
transcript.pyannote[2414].start 10302.96096875
transcript.pyannote[2414].end 10338.48284375
transcript.pyannote[2415].speaker SPEAKER_15
transcript.pyannote[2415].start 10338.60096875
transcript.pyannote[2415].end 10341.35159375
transcript.pyannote[2416].speaker SPEAKER_15
transcript.pyannote[2416].start 10342.16159375
transcript.pyannote[2416].end 10347.54471875
transcript.pyannote[2417].speaker SPEAKER_15
transcript.pyannote[2417].start 10347.67971875
transcript.pyannote[2417].end 10362.49596875
transcript.pyannote[2418].speaker SPEAKER_15
transcript.pyannote[2418].start 10362.88409375
transcript.pyannote[2418].end 10363.49159375
transcript.pyannote[2419].speaker SPEAKER_15
transcript.pyannote[2419].start 10363.74471875
transcript.pyannote[2419].end 10371.91221875
transcript.pyannote[2420].speaker SPEAKER_15
transcript.pyannote[2420].start 10372.21596875
transcript.pyannote[2420].end 10372.89096875
transcript.pyannote[2421].speaker SPEAKER_15
transcript.pyannote[2421].start 10372.95846875
transcript.pyannote[2421].end 10373.04284375
transcript.pyannote[2422].speaker SPEAKER_10
transcript.pyannote[2422].start 10373.04284375
transcript.pyannote[2422].end 10375.16909375
transcript.pyannote[2423].speaker SPEAKER_10
transcript.pyannote[2423].start 10375.64159375
transcript.pyannote[2423].end 10376.53596875
transcript.pyannote[2424].speaker SPEAKER_10
transcript.pyannote[2424].start 10377.05909375
transcript.pyannote[2424].end 10381.05846875
transcript.pyannote[2425].speaker SPEAKER_10
transcript.pyannote[2425].start 10381.39596875
transcript.pyannote[2425].end 10382.25659375
transcript.pyannote[2426].speaker SPEAKER_10
transcript.pyannote[2426].start 10382.74596875
transcript.pyannote[2426].end 10384.28159375
transcript.pyannote[2427].speaker SPEAKER_10
transcript.pyannote[2427].start 10384.83846875
transcript.pyannote[2427].end 10385.37846875
transcript.pyannote[2428].speaker SPEAKER_10
transcript.pyannote[2428].start 10385.76659375
transcript.pyannote[2428].end 10388.24721875
transcript.pyannote[2429].speaker SPEAKER_10
transcript.pyannote[2429].start 10388.58471875
transcript.pyannote[2429].end 10389.83346875
transcript.pyannote[2430].speaker SPEAKER_10
transcript.pyannote[2430].start 10390.18784375
transcript.pyannote[2430].end 10391.72346875
transcript.pyannote[2431].speaker SPEAKER_10
transcript.pyannote[2431].start 10392.04409375
transcript.pyannote[2431].end 10394.37284375
transcript.pyannote[2432].speaker SPEAKER_10
transcript.pyannote[2432].start 10395.26721875
transcript.pyannote[2432].end 10397.32596875
transcript.pyannote[2433].speaker SPEAKER_10
transcript.pyannote[2433].start 10397.66346875
transcript.pyannote[2433].end 10398.65909375
transcript.pyannote[2434].speaker SPEAKER_10
transcript.pyannote[2434].start 10399.18221875
transcript.pyannote[2434].end 10401.66284375
transcript.pyannote[2435].speaker SPEAKER_10
transcript.pyannote[2435].start 10401.79784375
transcript.pyannote[2435].end 10402.40534375
transcript.pyannote[2436].speaker SPEAKER_10
transcript.pyannote[2436].start 10402.54034375
transcript.pyannote[2436].end 10404.02534375
transcript.pyannote[2437].speaker SPEAKER_15
transcript.pyannote[2437].start 10404.02534375
transcript.pyannote[2437].end 10409.93159375
transcript.pyannote[2438].speaker SPEAKER_15
transcript.pyannote[2438].start 10410.21846875
transcript.pyannote[2438].end 10422.14909375
transcript.pyannote[2439].speaker SPEAKER_10
transcript.pyannote[2439].start 10420.81596875
transcript.pyannote[2439].end 10422.13221875
transcript.pyannote[2440].speaker SPEAKER_10
transcript.pyannote[2440].start 10422.14909375
transcript.pyannote[2440].end 10424.03909375
transcript.pyannote[2441].speaker SPEAKER_10
transcript.pyannote[2441].start 10424.47784375
transcript.pyannote[2441].end 10429.69221875
transcript.pyannote[2442].speaker SPEAKER_10
transcript.pyannote[2442].start 10430.16471875
transcript.pyannote[2442].end 10431.05909375
transcript.pyannote[2443].speaker SPEAKER_10
transcript.pyannote[2443].start 10431.80159375
transcript.pyannote[2443].end 10438.39971875
transcript.pyannote[2444].speaker SPEAKER_10
transcript.pyannote[2444].start 10438.87221875
transcript.pyannote[2444].end 10441.79159375
transcript.pyannote[2445].speaker SPEAKER_15
transcript.pyannote[2445].start 10440.66096875
transcript.pyannote[2445].end 10441.08284375
transcript.pyannote[2446].speaker SPEAKER_15
transcript.pyannote[2446].start 10441.79159375
transcript.pyannote[2446].end 10469.97284375
transcript.pyannote[2447].speaker SPEAKER_10
transcript.pyannote[2447].start 10466.61471875
transcript.pyannote[2447].end 10467.12096875
transcript.pyannote[2448].speaker SPEAKER_10
transcript.pyannote[2448].start 10469.41596875
transcript.pyannote[2448].end 10469.88846875
transcript.pyannote[2449].speaker SPEAKER_10
transcript.pyannote[2449].start 10469.97284375
transcript.pyannote[2449].end 10470.93471875
transcript.pyannote[2450].speaker SPEAKER_15
transcript.pyannote[2450].start 10471.57596875
transcript.pyannote[2450].end 10471.59284375
transcript.pyannote[2451].speaker SPEAKER_10
transcript.pyannote[2451].start 10471.59284375
transcript.pyannote[2451].end 10472.21721875
transcript.pyannote[2452].speaker SPEAKER_15
transcript.pyannote[2452].start 10472.21721875
transcript.pyannote[2452].end 10472.28471875
transcript.pyannote[2453].speaker SPEAKER_15
transcript.pyannote[2453].start 10472.30159375
transcript.pyannote[2453].end 10472.35221875
transcript.pyannote[2454].speaker SPEAKER_10
transcript.pyannote[2454].start 10472.35221875
transcript.pyannote[2454].end 10475.17034375
transcript.pyannote[2455].speaker SPEAKER_10
transcript.pyannote[2455].start 10475.59221875
transcript.pyannote[2455].end 10479.22034375
transcript.pyannote[2456].speaker SPEAKER_10
transcript.pyannote[2456].start 10479.96284375
transcript.pyannote[2456].end 10487.74221875
transcript.pyannote[2457].speaker SPEAKER_10
transcript.pyannote[2457].start 10488.02909375
transcript.pyannote[2457].end 10491.42096875
transcript.pyannote[2458].speaker SPEAKER_15
transcript.pyannote[2458].start 10491.23534375
transcript.pyannote[2458].end 10491.31971875
transcript.pyannote[2459].speaker SPEAKER_15
transcript.pyannote[2459].start 10491.42096875
transcript.pyannote[2459].end 10502.89596875
transcript.pyannote[2460].speaker SPEAKER_10
transcript.pyannote[2460].start 10499.99346875
transcript.pyannote[2460].end 10503.53721875
transcript.pyannote[2461].speaker SPEAKER_15
transcript.pyannote[2461].start 10503.53721875
transcript.pyannote[2461].end 10503.70596875
transcript.pyannote[2462].speaker SPEAKER_15
transcript.pyannote[2462].start 10504.16159375
transcript.pyannote[2462].end 10509.17346875
transcript.pyannote[2463].speaker SPEAKER_15
transcript.pyannote[2463].start 10509.32534375
transcript.pyannote[2463].end 10513.45971875
transcript.pyannote[2464].speaker SPEAKER_15
transcript.pyannote[2464].start 10513.91534375
transcript.pyannote[2464].end 10518.30284375
transcript.pyannote[2465].speaker SPEAKER_15
transcript.pyannote[2465].start 10518.40409375
transcript.pyannote[2465].end 10521.99846875
transcript.pyannote[2466].speaker SPEAKER_10
transcript.pyannote[2466].start 10519.63596875
transcript.pyannote[2466].end 10520.15909375
transcript.pyannote[2467].speaker SPEAKER_15
transcript.pyannote[2467].start 10522.20096875
transcript.pyannote[2467].end 10541.97846875
transcript.pyannote[2468].speaker SPEAKER_10
transcript.pyannote[2468].start 10526.63909375
transcript.pyannote[2468].end 10527.39846875
transcript.pyannote[2469].speaker SPEAKER_10
transcript.pyannote[2469].start 10527.44909375
transcript.pyannote[2469].end 10527.78659375
transcript.pyannote[2470].speaker SPEAKER_15
transcript.pyannote[2470].start 10542.36659375
transcript.pyannote[2470].end 10544.86409375
transcript.pyannote[2471].speaker SPEAKER_15
transcript.pyannote[2471].start 10545.26909375
transcript.pyannote[2471].end 10546.72034375
transcript.pyannote[2472].speaker SPEAKER_10
transcript.pyannote[2472].start 10546.72034375
transcript.pyannote[2472].end 10546.83846875
transcript.pyannote[2473].speaker SPEAKER_15
transcript.pyannote[2473].start 10546.83846875
transcript.pyannote[2473].end 10547.02409375
transcript.pyannote[2474].speaker SPEAKER_10
transcript.pyannote[2474].start 10547.02409375
transcript.pyannote[2474].end 10547.83409375
transcript.pyannote[2475].speaker SPEAKER_15
transcript.pyannote[2475].start 10547.83409375
transcript.pyannote[2475].end 10548.67784375
transcript.pyannote[2476].speaker SPEAKER_10
transcript.pyannote[2476].start 10547.85096875
transcript.pyannote[2476].end 10548.62721875
transcript.pyannote[2477].speaker SPEAKER_10
transcript.pyannote[2477].start 10548.67784375
transcript.pyannote[2477].end 10548.94784375
transcript.pyannote[2478].speaker SPEAKER_15
transcript.pyannote[2478].start 10548.94784375
transcript.pyannote[2478].end 10550.68596875
transcript.pyannote[2479].speaker SPEAKER_34
transcript.pyannote[2479].start 10552.50846875
transcript.pyannote[2479].end 10556.84534375
transcript.pyannote[2480].speaker SPEAKER_22
transcript.pyannote[2480].start 10564.13534375
transcript.pyannote[2480].end 10568.86034375
transcript.pyannote[2481].speaker SPEAKER_34
transcript.pyannote[2481].start 10564.48971875
transcript.pyannote[2481].end 10564.55721875
transcript.pyannote[2482].speaker SPEAKER_22
transcript.pyannote[2482].start 10569.34971875
transcript.pyannote[2482].end 10569.78846875
transcript.pyannote[2483].speaker SPEAKER_34
transcript.pyannote[2483].start 10569.90659375
transcript.pyannote[2483].end 10570.69971875
transcript.pyannote[2484].speaker SPEAKER_22
transcript.pyannote[2484].start 10571.27346875
transcript.pyannote[2484].end 10573.70346875
transcript.pyannote[2485].speaker SPEAKER_34
transcript.pyannote[2485].start 10571.98221875
transcript.pyannote[2485].end 10575.45846875
transcript.pyannote[2486].speaker SPEAKER_18
transcript.pyannote[2486].start 10576.45409375
transcript.pyannote[2486].end 10576.90971875
transcript.pyannote[2487].speaker SPEAKER_22
transcript.pyannote[2487].start 10577.63534375
transcript.pyannote[2487].end 10577.87159375
transcript.pyannote[2488].speaker SPEAKER_22
transcript.pyannote[2488].start 10578.34409375
transcript.pyannote[2488].end 10579.59284375
transcript.pyannote[2489].speaker SPEAKER_22
transcript.pyannote[2489].start 10579.60971875
transcript.pyannote[2489].end 10581.46596875
transcript.pyannote[2490].speaker SPEAKER_22
transcript.pyannote[2490].start 10581.80346875
transcript.pyannote[2490].end 10607.79096875
transcript.pyannote[2491].speaker SPEAKER_29
transcript.pyannote[2491].start 10604.23034375
transcript.pyannote[2491].end 10604.31471875
transcript.pyannote[2492].speaker SPEAKER_22
transcript.pyannote[2492].start 10608.07784375
transcript.pyannote[2492].end 10610.18721875
transcript.pyannote[2493].speaker SPEAKER_22
transcript.pyannote[2493].start 10610.72721875
transcript.pyannote[2493].end 10613.81534375
transcript.pyannote[2494].speaker SPEAKER_18
transcript.pyannote[2494].start 10613.81534375
transcript.pyannote[2494].end 10615.72221875
transcript.pyannote[2495].speaker SPEAKER_22
transcript.pyannote[2495].start 10614.52409375
transcript.pyannote[2495].end 10615.21596875
transcript.pyannote[2496].speaker SPEAKER_22
transcript.pyannote[2496].start 10615.35096875
transcript.pyannote[2496].end 10620.21096875
transcript.pyannote[2497].speaker SPEAKER_18
transcript.pyannote[2497].start 10619.29971875
transcript.pyannote[2497].end 10621.22346875
transcript.pyannote[2498].speaker SPEAKER_18
transcript.pyannote[2498].start 10621.34159375
transcript.pyannote[2498].end 10621.35846875
transcript.pyannote[2499].speaker SPEAKER_22
transcript.pyannote[2499].start 10621.35846875
transcript.pyannote[2499].end 10623.04596875
transcript.pyannote[2500].speaker SPEAKER_18
transcript.pyannote[2500].start 10621.37534375
transcript.pyannote[2500].end 10627.68659375
transcript.pyannote[2501].speaker SPEAKER_22
transcript.pyannote[2501].start 10625.00346875
transcript.pyannote[2501].end 10626.16784375
transcript.pyannote[2502].speaker SPEAKER_22
transcript.pyannote[2502].start 10627.68659375
transcript.pyannote[2502].end 10632.07409375
transcript.pyannote[2503].speaker SPEAKER_18
transcript.pyannote[2503].start 10629.93096875
transcript.pyannote[2503].end 10632.69846875
transcript.pyannote[2504].speaker SPEAKER_22
transcript.pyannote[2504].start 10632.51284375
transcript.pyannote[2504].end 10638.14909375
transcript.pyannote[2505].speaker SPEAKER_22
transcript.pyannote[2505].start 10638.55409375
transcript.pyannote[2505].end 10645.94534375
transcript.pyannote[2506].speaker SPEAKER_22
transcript.pyannote[2506].start 10646.28284375
transcript.pyannote[2506].end 10647.36284375
transcript.pyannote[2507].speaker SPEAKER_22
transcript.pyannote[2507].start 10647.78471875
transcript.pyannote[2507].end 10650.63659375
transcript.pyannote[2508].speaker SPEAKER_22
transcript.pyannote[2508].start 10650.99096875
transcript.pyannote[2508].end 10653.84284375
transcript.pyannote[2509].speaker SPEAKER_18
transcript.pyannote[2509].start 10652.91471875
transcript.pyannote[2509].end 10653.30284375
transcript.pyannote[2510].speaker SPEAKER_22
transcript.pyannote[2510].start 10654.14659375
transcript.pyannote[2510].end 10656.01971875
transcript.pyannote[2511].speaker SPEAKER_22
transcript.pyannote[2511].start 10656.34034375
transcript.pyannote[2511].end 10659.39471875
transcript.pyannote[2512].speaker SPEAKER_18
transcript.pyannote[2512].start 10656.35721875
transcript.pyannote[2512].end 10657.31909375
transcript.pyannote[2513].speaker SPEAKER_18
transcript.pyannote[2513].start 10658.71971875
transcript.pyannote[2513].end 10663.88346875
transcript.pyannote[2514].speaker SPEAKER_22
transcript.pyannote[2514].start 10660.03596875
transcript.pyannote[2514].end 10661.09909375
transcript.pyannote[2515].speaker SPEAKER_18
transcript.pyannote[2515].start 10664.03534375
transcript.pyannote[2515].end 10670.90346875
transcript.pyannote[2516].speaker SPEAKER_18
transcript.pyannote[2516].start 10671.12284375
transcript.pyannote[2516].end 10672.60784375
transcript.pyannote[2517].speaker SPEAKER_18
transcript.pyannote[2517].start 10672.64159375
transcript.pyannote[2517].end 10679.05409375
transcript.pyannote[2518].speaker SPEAKER_18
transcript.pyannote[2518].start 10679.15534375
transcript.pyannote[2518].end 10680.57284375
transcript.pyannote[2519].speaker SPEAKER_22
transcript.pyannote[2519].start 10681.39971875
transcript.pyannote[2519].end 10684.77471875
transcript.pyannote[2520].speaker SPEAKER_18
transcript.pyannote[2520].start 10684.58909375
transcript.pyannote[2520].end 10687.47471875
transcript.pyannote[2521].speaker SPEAKER_18
transcript.pyannote[2521].start 10687.60971875
transcript.pyannote[2521].end 10690.41096875
transcript.pyannote[2522].speaker SPEAKER_18
transcript.pyannote[2522].start 10694.83221875
transcript.pyannote[2522].end 10702.02096875
transcript.pyannote[2523].speaker SPEAKER_11
transcript.pyannote[2523].start 10698.08909375
transcript.pyannote[2523].end 10698.10596875
transcript.pyannote[2524].speaker SPEAKER_22
transcript.pyannote[2524].start 10698.10596875
transcript.pyannote[2524].end 10698.56159375
transcript.pyannote[2525].speaker SPEAKER_22
transcript.pyannote[2525].start 10700.97471875
transcript.pyannote[2525].end 10701.46409375
transcript.pyannote[2526].speaker SPEAKER_03
transcript.pyannote[2526].start 10701.46409375
transcript.pyannote[2526].end 10703.42159375
transcript.pyannote[2527].speaker SPEAKER_22
transcript.pyannote[2527].start 10702.02096875
transcript.pyannote[2527].end 10702.08846875
transcript.pyannote[2528].speaker SPEAKER_18
transcript.pyannote[2528].start 10702.08846875
transcript.pyannote[2528].end 10702.51034375
transcript.pyannote[2529].speaker SPEAKER_22
transcript.pyannote[2529].start 10702.51034375
transcript.pyannote[2529].end 10702.52721875
transcript.pyannote[2530].speaker SPEAKER_03
transcript.pyannote[2530].start 10705.69971875
transcript.pyannote[2530].end 10712.85471875
transcript.pyannote[2531].speaker SPEAKER_03
transcript.pyannote[2531].start 10713.17534375
transcript.pyannote[2531].end 10716.31409375
transcript.pyannote[2532].speaker SPEAKER_22
transcript.pyannote[2532].start 10715.87534375
transcript.pyannote[2532].end 10719.43596875
transcript.pyannote[2533].speaker SPEAKER_03
transcript.pyannote[2533].start 10718.57534375
transcript.pyannote[2533].end 10718.76096875
transcript.pyannote[2534].speaker SPEAKER_22
transcript.pyannote[2534].start 10719.57096875
transcript.pyannote[2534].end 10750.85721875
transcript.pyannote[2535].speaker SPEAKER_00
transcript.pyannote[2535].start 10733.25659375
transcript.pyannote[2535].end 10733.84721875
transcript.pyannote[2536].speaker SPEAKER_03
transcript.pyannote[2536].start 10745.03534375
transcript.pyannote[2536].end 10745.35596875
transcript.pyannote[2537].speaker SPEAKER_22
transcript.pyannote[2537].start 10752.78096875
transcript.pyannote[2537].end 10752.91596875
transcript.pyannote[2538].speaker SPEAKER_03
transcript.pyannote[2538].start 10752.91596875
transcript.pyannote[2538].end 10755.17721875
transcript.pyannote[2539].speaker SPEAKER_03
transcript.pyannote[2539].start 10755.75096875
transcript.pyannote[2539].end 10756.99971875
transcript.pyannote[2540].speaker SPEAKER_22
transcript.pyannote[2540].start 10756.99971875
transcript.pyannote[2540].end 10757.30346875
transcript.pyannote[2541].speaker SPEAKER_03
transcript.pyannote[2541].start 10757.30346875
transcript.pyannote[2541].end 10762.02846875
transcript.pyannote[2542].speaker SPEAKER_22
transcript.pyannote[2542].start 10761.48846875
transcript.pyannote[2542].end 10768.99784375
transcript.pyannote[2543].speaker SPEAKER_03
transcript.pyannote[2543].start 10768.77846875
transcript.pyannote[2543].end 10774.73534375
transcript.pyannote[2544].speaker SPEAKER_22
transcript.pyannote[2544].start 10775.51159375
transcript.pyannote[2544].end 10779.66284375
transcript.pyannote[2545].speaker SPEAKER_22
transcript.pyannote[2545].start 10779.91596875
transcript.pyannote[2545].end 10781.13096875
transcript.pyannote[2546].speaker SPEAKER_22
transcript.pyannote[2546].start 10781.33346875
transcript.pyannote[2546].end 10787.71221875
transcript.pyannote[2547].speaker SPEAKER_22
transcript.pyannote[2547].start 10788.50534375
transcript.pyannote[2547].end 10788.62346875
transcript.pyannote[2548].speaker SPEAKER_03
transcript.pyannote[2548].start 10788.62346875
transcript.pyannote[2548].end 10790.26034375
transcript.pyannote[2549].speaker SPEAKER_03
transcript.pyannote[2549].start 10790.56409375
transcript.pyannote[2549].end 10795.13721875
transcript.pyannote[2550].speaker SPEAKER_03
transcript.pyannote[2550].start 10795.25534375
transcript.pyannote[2550].end 10795.69409375
transcript.pyannote[2551].speaker SPEAKER_03
transcript.pyannote[2551].start 10795.98096875
transcript.pyannote[2551].end 10802.54534375
transcript.pyannote[2552].speaker SPEAKER_22
transcript.pyannote[2552].start 10802.54534375
transcript.pyannote[2552].end 10802.57909375
transcript.pyannote[2553].speaker SPEAKER_03
transcript.pyannote[2553].start 10803.47346875
transcript.pyannote[2553].end 10803.96284375
transcript.pyannote[2554].speaker SPEAKER_22
transcript.pyannote[2554].start 10803.96284375
transcript.pyannote[2554].end 10814.02034375
transcript.pyannote[2555].speaker SPEAKER_03
transcript.pyannote[2555].start 10806.13971875
transcript.pyannote[2555].end 10806.34221875
transcript.pyannote[2556].speaker SPEAKER_29
transcript.pyannote[2556].start 10806.34221875
transcript.pyannote[2556].end 10806.40971875
transcript.pyannote[2557].speaker SPEAKER_03
transcript.pyannote[2557].start 10806.40971875
transcript.pyannote[2557].end 10806.51096875
transcript.pyannote[2558].speaker SPEAKER_29
transcript.pyannote[2558].start 10813.26096875
transcript.pyannote[2558].end 10813.76721875
transcript.pyannote[2559].speaker SPEAKER_22
transcript.pyannote[2559].start 10814.45909375
transcript.pyannote[2559].end 10819.30221875
transcript.pyannote[2560].speaker SPEAKER_22
transcript.pyannote[2560].start 10819.52159375
transcript.pyannote[2560].end 10824.48284375
transcript.pyannote[2561].speaker SPEAKER_22
transcript.pyannote[2561].start 10824.73596875
transcript.pyannote[2561].end 10834.28721875
transcript.pyannote[2562].speaker SPEAKER_22
transcript.pyannote[2562].start 10834.75971875
transcript.pyannote[2562].end 10834.79346875
transcript.pyannote[2563].speaker SPEAKER_03
transcript.pyannote[2563].start 10834.79346875
transcript.pyannote[2563].end 10841.44221875
transcript.pyannote[2564].speaker SPEAKER_29
transcript.pyannote[2564].start 10841.35784375
transcript.pyannote[2564].end 10841.39159375
transcript.pyannote[2565].speaker SPEAKER_29
transcript.pyannote[2565].start 10841.44221875
transcript.pyannote[2565].end 10841.69534375
transcript.pyannote[2566].speaker SPEAKER_03
transcript.pyannote[2566].start 10841.54346875
transcript.pyannote[2566].end 10844.53034375
transcript.pyannote[2567].speaker SPEAKER_03
transcript.pyannote[2567].start 10845.01971875
transcript.pyannote[2567].end 10846.70721875
transcript.pyannote[2568].speaker SPEAKER_03
transcript.pyannote[2568].start 10847.12909375
transcript.pyannote[2568].end 10851.31409375
transcript.pyannote[2569].speaker SPEAKER_03
transcript.pyannote[2569].start 10851.68534375
transcript.pyannote[2569].end 10853.45721875
transcript.pyannote[2570].speaker SPEAKER_03
transcript.pyannote[2570].start 10853.64284375
transcript.pyannote[2570].end 10855.19534375
transcript.pyannote[2571].speaker SPEAKER_03
transcript.pyannote[2571].start 10855.41471875
transcript.pyannote[2571].end 10858.68846875
transcript.pyannote[2572].speaker SPEAKER_03
transcript.pyannote[2572].start 10858.82346875
transcript.pyannote[2572].end 10860.67971875
transcript.pyannote[2573].speaker SPEAKER_03
transcript.pyannote[2573].start 10861.10159375
transcript.pyannote[2573].end 10865.53971875
transcript.pyannote[2574].speaker SPEAKER_22
transcript.pyannote[2574].start 10865.48909375
transcript.pyannote[2574].end 10865.52284375
transcript.pyannote[2575].speaker SPEAKER_22
transcript.pyannote[2575].start 10865.53971875
transcript.pyannote[2575].end 10865.75909375
transcript.pyannote[2576].speaker SPEAKER_03
transcript.pyannote[2576].start 10865.75909375
transcript.pyannote[2576].end 10865.97846875
transcript.pyannote[2577].speaker SPEAKER_22
transcript.pyannote[2577].start 10865.97846875
transcript.pyannote[2577].end 10867.96971875
transcript.pyannote[2578].speaker SPEAKER_03
transcript.pyannote[2578].start 10867.96971875
transcript.pyannote[2578].end 10868.02034375
transcript.pyannote[2579].speaker SPEAKER_22
transcript.pyannote[2579].start 10868.02034375
transcript.pyannote[2579].end 10868.03721875
transcript.pyannote[2580].speaker SPEAKER_03
transcript.pyannote[2580].start 10868.03721875
transcript.pyannote[2580].end 10868.10471875
transcript.pyannote[2581].speaker SPEAKER_22
transcript.pyannote[2581].start 10868.10471875
transcript.pyannote[2581].end 10868.20596875
transcript.pyannote[2582].speaker SPEAKER_03
transcript.pyannote[2582].start 10868.20596875
transcript.pyannote[2582].end 10876.20471875
transcript.pyannote[2583].speaker SPEAKER_22
transcript.pyannote[2583].start 10869.74159375
transcript.pyannote[2583].end 10871.29409375
transcript.pyannote[2584].speaker SPEAKER_22
transcript.pyannote[2584].start 10875.25971875
transcript.pyannote[2584].end 10876.13721875
transcript.pyannote[2585].speaker SPEAKER_22
transcript.pyannote[2585].start 10876.66034375
transcript.pyannote[2585].end 10885.46909375
transcript.pyannote[2586].speaker SPEAKER_03
transcript.pyannote[2586].start 10883.39346875
transcript.pyannote[2586].end 10883.98409375
transcript.pyannote[2587].speaker SPEAKER_03
transcript.pyannote[2587].start 10884.70971875
transcript.pyannote[2587].end 10891.96596875
transcript.pyannote[2588].speaker SPEAKER_22
transcript.pyannote[2588].start 10890.93659375
transcript.pyannote[2588].end 10894.02471875
transcript.pyannote[2589].speaker SPEAKER_03
transcript.pyannote[2589].start 10894.02471875
transcript.pyannote[2589].end 10904.13284375
transcript.pyannote[2590].speaker SPEAKER_03
transcript.pyannote[2590].start 10904.48721875
transcript.pyannote[2590].end 10907.27159375
transcript.pyannote[2591].speaker SPEAKER_22
transcript.pyannote[2591].start 10907.27159375
transcript.pyannote[2591].end 10907.28846875
transcript.pyannote[2592].speaker SPEAKER_22
transcript.pyannote[2592].start 10908.04784375
transcript.pyannote[2592].end 10926.10409375
transcript.pyannote[2593].speaker SPEAKER_34
transcript.pyannote[2593].start 10927.08284375
transcript.pyannote[2593].end 10931.06534375
transcript.pyannote[2594].speaker SPEAKER_05
transcript.pyannote[2594].start 10944.64971875
transcript.pyannote[2594].end 10948.66596875
transcript.pyannote[2595].speaker SPEAKER_05
transcript.pyannote[2595].start 10949.22284375
transcript.pyannote[2595].end 10951.85534375
transcript.pyannote[2596].speaker SPEAKER_05
transcript.pyannote[2596].start 10952.53034375
transcript.pyannote[2596].end 10953.03659375
transcript.pyannote[2597].speaker SPEAKER_34
transcript.pyannote[2597].start 10953.69471875
transcript.pyannote[2597].end 10954.77471875
transcript.pyannote[2598].speaker SPEAKER_34
transcript.pyannote[2598].start 10955.01096875
transcript.pyannote[2598].end 10956.09096875
transcript.pyannote[2599].speaker SPEAKER_34
transcript.pyannote[2599].start 10957.42409375
transcript.pyannote[2599].end 10958.01471875
transcript.pyannote[2600].speaker SPEAKER_05
transcript.pyannote[2600].start 10958.75721875
transcript.pyannote[2600].end 10959.71909375
transcript.pyannote[2601].speaker SPEAKER_05
transcript.pyannote[2601].start 10960.37721875
transcript.pyannote[2601].end 10962.11534375
transcript.pyannote[2602].speaker SPEAKER_34
transcript.pyannote[2602].start 10962.16596875
transcript.pyannote[2602].end 10962.18284375
transcript.pyannote[2603].speaker SPEAKER_05
transcript.pyannote[2603].start 10962.18284375
transcript.pyannote[2603].end 10976.32409375
transcript.pyannote[2604].speaker SPEAKER_03
transcript.pyannote[2604].start 10963.19534375
transcript.pyannote[2604].end 10963.31346875
transcript.pyannote[2605].speaker SPEAKER_34
transcript.pyannote[2605].start 10963.31346875
transcript.pyannote[2605].end 10963.48221875
transcript.pyannote[2606].speaker SPEAKER_03
transcript.pyannote[2606].start 10963.48221875
transcript.pyannote[2606].end 10963.65096875
transcript.pyannote[2607].speaker SPEAKER_03
transcript.pyannote[2607].start 10964.96721875
transcript.pyannote[2607].end 10965.28784375
transcript.pyannote[2608].speaker SPEAKER_05
transcript.pyannote[2608].start 10977.04971875
transcript.pyannote[2608].end 10989.06471875
transcript.pyannote[2609].speaker SPEAKER_05
transcript.pyannote[2609].start 10989.57096875
transcript.pyannote[2609].end 10990.78596875
transcript.pyannote[2610].speaker SPEAKER_05
transcript.pyannote[2610].start 10991.47784375
transcript.pyannote[2610].end 10996.27034375
transcript.pyannote[2611].speaker SPEAKER_05
transcript.pyannote[2611].start 10996.74284375
transcript.pyannote[2611].end 11026.17284375
transcript.pyannote[2612].speaker SPEAKER_05
transcript.pyannote[2612].start 11026.66221875
transcript.pyannote[2612].end 11046.87846875
transcript.pyannote[2613].speaker SPEAKER_05
transcript.pyannote[2613].start 11047.87409375
transcript.pyannote[2613].end 11080.72971875
transcript.pyannote[2614].speaker SPEAKER_29
transcript.pyannote[2614].start 11062.13346875
transcript.pyannote[2614].end 11062.40346875
transcript.pyannote[2615].speaker SPEAKER_05
transcript.pyannote[2615].start 11081.30346875
transcript.pyannote[2615].end 11083.29471875
transcript.pyannote[2616].speaker SPEAKER_05
transcript.pyannote[2616].start 11084.08784375
transcript.pyannote[2616].end 11092.01909375
transcript.pyannote[2617].speaker SPEAKER_06
transcript.pyannote[2617].start 11085.91034375
transcript.pyannote[2617].end 11086.43346875
transcript.pyannote[2618].speaker SPEAKER_03
transcript.pyannote[2618].start 11092.37346875
transcript.pyannote[2618].end 11098.21221875
transcript.pyannote[2619].speaker SPEAKER_03
transcript.pyannote[2619].start 11098.53284375
transcript.pyannote[2619].end 11104.01721875
transcript.pyannote[2620].speaker SPEAKER_03
transcript.pyannote[2620].start 11104.42221875
transcript.pyannote[2620].end 11105.06346875
transcript.pyannote[2621].speaker SPEAKER_03
transcript.pyannote[2621].start 11106.10971875
transcript.pyannote[2621].end 11113.38284375
transcript.pyannote[2622].speaker SPEAKER_00
transcript.pyannote[2622].start 11110.17659375
transcript.pyannote[2622].end 11110.22721875
transcript.pyannote[2623].speaker SPEAKER_00
transcript.pyannote[2623].start 11110.26096875
transcript.pyannote[2623].end 11110.51409375
transcript.pyannote[2624].speaker SPEAKER_03
transcript.pyannote[2624].start 11113.77096875
transcript.pyannote[2624].end 11124.01409375
transcript.pyannote[2625].speaker SPEAKER_00
transcript.pyannote[2625].start 11114.86784375
transcript.pyannote[2625].end 11115.03659375
transcript.pyannote[2626].speaker SPEAKER_05
transcript.pyannote[2626].start 11115.03659375
transcript.pyannote[2626].end 11115.57659375
transcript.pyannote[2627].speaker SPEAKER_03
transcript.pyannote[2627].start 11124.19971875
transcript.pyannote[2627].end 11125.00971875
transcript.pyannote[2628].speaker SPEAKER_03
transcript.pyannote[2628].start 11125.33034375
transcript.pyannote[2628].end 11125.85346875
transcript.pyannote[2629].speaker SPEAKER_03
transcript.pyannote[2629].start 11126.86596875
transcript.pyannote[2629].end 11130.84846875
transcript.pyannote[2630].speaker SPEAKER_03
transcript.pyannote[2630].start 11131.10159375
transcript.pyannote[2630].end 11136.31596875
transcript.pyannote[2631].speaker SPEAKER_03
transcript.pyannote[2631].start 11136.58596875
transcript.pyannote[2631].end 11145.04034375
transcript.pyannote[2632].speaker SPEAKER_03
transcript.pyannote[2632].start 11145.41159375
transcript.pyannote[2632].end 11146.96409375
transcript.pyannote[2633].speaker SPEAKER_05
transcript.pyannote[2633].start 11147.36909375
transcript.pyannote[2633].end 11151.57096875
transcript.pyannote[2634].speaker SPEAKER_05
transcript.pyannote[2634].start 11151.89159375
transcript.pyannote[2634].end 11158.64159375
transcript.pyannote[2635].speaker SPEAKER_05
transcript.pyannote[2635].start 11158.87784375
transcript.pyannote[2635].end 11159.70471875
transcript.pyannote[2636].speaker SPEAKER_05
transcript.pyannote[2636].start 11161.07159375
transcript.pyannote[2636].end 11191.80096875
transcript.pyannote[2637].speaker SPEAKER_00
transcript.pyannote[2637].start 11165.35784375
transcript.pyannote[2637].end 11166.06659375
transcript.pyannote[2638].speaker SPEAKER_00
transcript.pyannote[2638].start 11166.97784375
transcript.pyannote[2638].end 11168.22659375
transcript.pyannote[2639].speaker SPEAKER_00
transcript.pyannote[2639].start 11168.36159375
transcript.pyannote[2639].end 11168.44596875
transcript.pyannote[2640].speaker SPEAKER_29
transcript.pyannote[2640].start 11168.44596875
transcript.pyannote[2640].end 11169.30659375
transcript.pyannote[2641].speaker SPEAKER_29
transcript.pyannote[2641].start 11169.86346875
transcript.pyannote[2641].end 11170.40346875
transcript.pyannote[2642].speaker SPEAKER_29
transcript.pyannote[2642].start 11170.63971875
transcript.pyannote[2642].end 11170.72409375
transcript.pyannote[2643].speaker SPEAKER_29
transcript.pyannote[2643].start 11172.98534375
transcript.pyannote[2643].end 11173.52534375
transcript.pyannote[2644].speaker SPEAKER_00
transcript.pyannote[2644].start 11173.52534375
transcript.pyannote[2644].end 11173.54221875
transcript.pyannote[2645].speaker SPEAKER_29
transcript.pyannote[2645].start 11175.48284375
transcript.pyannote[2645].end 11175.73596875
transcript.pyannote[2646].speaker SPEAKER_00
transcript.pyannote[2646].start 11175.73596875
transcript.pyannote[2646].end 11175.78659375
transcript.pyannote[2647].speaker SPEAKER_00
transcript.pyannote[2647].start 11183.81909375
transcript.pyannote[2647].end 11184.07221875
transcript.pyannote[2648].speaker SPEAKER_05
transcript.pyannote[2648].start 11191.90221875
transcript.pyannote[2648].end 11205.90846875
transcript.pyannote[2649].speaker SPEAKER_00
transcript.pyannote[2649].start 11194.45034375
transcript.pyannote[2649].end 11195.12534375
transcript.pyannote[2650].speaker SPEAKER_05
transcript.pyannote[2650].start 11206.56659375
transcript.pyannote[2650].end 11225.53409375
transcript.pyannote[2651].speaker SPEAKER_00
transcript.pyannote[2651].start 11217.63659375
transcript.pyannote[2651].end 11217.67034375
transcript.pyannote[2652].speaker SPEAKER_03
transcript.pyannote[2652].start 11217.67034375
transcript.pyannote[2652].end 11218.09221875
transcript.pyannote[2653].speaker SPEAKER_03
transcript.pyannote[2653].start 11225.73659375
transcript.pyannote[2653].end 11226.14159375
transcript.pyannote[2654].speaker SPEAKER_05
transcript.pyannote[2654].start 11226.14159375
transcript.pyannote[2654].end 11239.74284375
transcript.pyannote[2655].speaker SPEAKER_03
transcript.pyannote[2655].start 11226.15846875
transcript.pyannote[2655].end 11227.60971875
transcript.pyannote[2656].speaker SPEAKER_00
transcript.pyannote[2656].start 11230.00596875
transcript.pyannote[2656].end 11230.03971875
transcript.pyannote[2657].speaker SPEAKER_13
transcript.pyannote[2657].start 11233.73534375
transcript.pyannote[2657].end 11233.81971875
transcript.pyannote[2658].speaker SPEAKER_05
transcript.pyannote[2658].start 11240.01284375
transcript.pyannote[2658].end 11254.55909375
transcript.pyannote[2659].speaker SPEAKER_03
transcript.pyannote[2659].start 11247.92721875
transcript.pyannote[2659].end 11248.16346875
transcript.pyannote[2660].speaker SPEAKER_03
transcript.pyannote[2660].start 11253.12471875
transcript.pyannote[2660].end 11258.96346875
transcript.pyannote[2661].speaker SPEAKER_05
transcript.pyannote[2661].start 11258.17034375
transcript.pyannote[2661].end 11269.91534375
transcript.pyannote[2662].speaker SPEAKER_05
transcript.pyannote[2662].start 11270.42159375
transcript.pyannote[2662].end 11296.99971875
transcript.pyannote[2663].speaker SPEAKER_03
transcript.pyannote[2663].start 11296.67909375
transcript.pyannote[2663].end 11296.74659375
transcript.pyannote[2664].speaker SPEAKER_03
transcript.pyannote[2664].start 11297.45534375
transcript.pyannote[2664].end 11300.45909375
transcript.pyannote[2665].speaker SPEAKER_05
transcript.pyannote[2665].start 11300.52659375
transcript.pyannote[2665].end 11301.03284375
transcript.pyannote[2666].speaker SPEAKER_03
transcript.pyannote[2666].start 11301.03284375
transcript.pyannote[2666].end 11301.57284375
transcript.pyannote[2667].speaker SPEAKER_05
transcript.pyannote[2667].start 11301.04971875
transcript.pyannote[2667].end 11301.08346875
transcript.pyannote[2668].speaker SPEAKER_34
transcript.pyannote[2668].start 11306.34846875
transcript.pyannote[2668].end 11308.98096875
transcript.pyannote[2669].speaker SPEAKER_34
transcript.pyannote[2669].start 11310.56721875
transcript.pyannote[2669].end 11317.31721875
transcript.pyannote[2670].speaker SPEAKER_00
transcript.pyannote[2670].start 11316.54096875
transcript.pyannote[2670].end 11316.79409375
transcript.pyannote[2671].speaker SPEAKER_27
transcript.pyannote[2671].start 11328.70784375
transcript.pyannote[2671].end 11332.60596875
transcript.pyannote[2672].speaker SPEAKER_27
transcript.pyannote[2672].start 11333.02784375
transcript.pyannote[2672].end 11334.91784375
transcript.pyannote[2673].speaker SPEAKER_34
transcript.pyannote[2673].start 11333.07846875
transcript.pyannote[2673].end 11333.88846875
transcript.pyannote[2674].speaker SPEAKER_34
transcript.pyannote[2674].start 11335.52534375
transcript.pyannote[2674].end 11336.33534375
transcript.pyannote[2675].speaker SPEAKER_27
transcript.pyannote[2675].start 11338.84971875
transcript.pyannote[2675].end 11347.87784375
transcript.pyannote[2676].speaker SPEAKER_13
transcript.pyannote[2676].start 11340.18284375
transcript.pyannote[2676].end 11340.41909375
transcript.pyannote[2677].speaker SPEAKER_13
transcript.pyannote[2677].start 11345.78534375
transcript.pyannote[2677].end 11345.83596875
transcript.pyannote[2678].speaker SPEAKER_27
transcript.pyannote[2678].start 11348.01284375
transcript.pyannote[2678].end 11352.18096875
transcript.pyannote[2679].speaker SPEAKER_23
transcript.pyannote[2679].start 11349.36284375
transcript.pyannote[2679].end 11349.70034375
transcript.pyannote[2680].speaker SPEAKER_27
transcript.pyannote[2680].start 11352.33284375
transcript.pyannote[2680].end 11352.75471875
transcript.pyannote[2681].speaker SPEAKER_27
transcript.pyannote[2681].start 11353.14284375
transcript.pyannote[2681].end 11356.73721875
transcript.pyannote[2682].speaker SPEAKER_13
transcript.pyannote[2682].start 11356.53471875
transcript.pyannote[2682].end 11357.20971875
transcript.pyannote[2683].speaker SPEAKER_27
transcript.pyannote[2683].start 11357.32784375
transcript.pyannote[2683].end 11359.28534375
transcript.pyannote[2684].speaker SPEAKER_13
transcript.pyannote[2684].start 11359.63971875
transcript.pyannote[2684].end 11359.65659375
transcript.pyannote[2685].speaker SPEAKER_15
transcript.pyannote[2685].start 11359.65659375
transcript.pyannote[2685].end 11360.60159375
transcript.pyannote[2686].speaker SPEAKER_27
transcript.pyannote[2686].start 11361.44534375
transcript.pyannote[2686].end 11362.72784375
transcript.pyannote[2687].speaker SPEAKER_15
transcript.pyannote[2687].start 11361.52971875
transcript.pyannote[2687].end 11361.61409375
transcript.pyannote[2688].speaker SPEAKER_15
transcript.pyannote[2688].start 11362.91346875
transcript.pyannote[2688].end 11365.52909375
transcript.pyannote[2689].speaker SPEAKER_27
transcript.pyannote[2689].start 11364.31409375
transcript.pyannote[2689].end 11365.51221875
transcript.pyannote[2690].speaker SPEAKER_27
transcript.pyannote[2690].start 11365.52909375
transcript.pyannote[2690].end 11367.04784375
transcript.pyannote[2691].speaker SPEAKER_15
transcript.pyannote[2691].start 11367.40221875
transcript.pyannote[2691].end 11367.73971875
transcript.pyannote[2692].speaker SPEAKER_27
transcript.pyannote[2692].start 11368.63409375
transcript.pyannote[2692].end 11371.99221875
transcript.pyannote[2693].speaker SPEAKER_27
transcript.pyannote[2693].start 11372.39721875
transcript.pyannote[2693].end 11374.21971875
transcript.pyannote[2694].speaker SPEAKER_27
transcript.pyannote[2694].start 11376.53159375
transcript.pyannote[2694].end 11376.95346875
transcript.pyannote[2695].speaker SPEAKER_27
transcript.pyannote[2695].start 11377.74659375
transcript.pyannote[2695].end 11378.94471875
transcript.pyannote[2696].speaker SPEAKER_27
transcript.pyannote[2696].start 11378.97846875
transcript.pyannote[2696].end 11378.99534375
transcript.pyannote[2697].speaker SPEAKER_29
transcript.pyannote[2697].start 11379.07971875
transcript.pyannote[2697].end 11379.94034375
transcript.pyannote[2698].speaker SPEAKER_27
transcript.pyannote[2698].start 11379.13034375
transcript.pyannote[2698].end 11381.39159375
transcript.pyannote[2699].speaker SPEAKER_27
transcript.pyannote[2699].start 11381.88096875
transcript.pyannote[2699].end 11386.08284375
transcript.pyannote[2700].speaker SPEAKER_27
transcript.pyannote[2700].start 11386.94346875
transcript.pyannote[2700].end 11389.18784375
transcript.pyannote[2701].speaker SPEAKER_27
transcript.pyannote[2701].start 11389.96409375
transcript.pyannote[2701].end 11395.29659375
transcript.pyannote[2702].speaker SPEAKER_27
transcript.pyannote[2702].start 11395.70159375
transcript.pyannote[2702].end 11397.45659375
transcript.pyannote[2703].speaker SPEAKER_27
transcript.pyannote[2703].start 11397.89534375
transcript.pyannote[2703].end 11399.07659375
transcript.pyannote[2704].speaker SPEAKER_15
transcript.pyannote[2704].start 11400.20721875
transcript.pyannote[2704].end 11400.73034375
transcript.pyannote[2705].speaker SPEAKER_15
transcript.pyannote[2705].start 11401.38846875
transcript.pyannote[2705].end 11402.92409375
transcript.pyannote[2706].speaker SPEAKER_15
transcript.pyannote[2706].start 11402.97471875
transcript.pyannote[2706].end 11405.03346875
transcript.pyannote[2707].speaker SPEAKER_27
transcript.pyannote[2707].start 11404.93221875
transcript.pyannote[2707].end 11417.45346875
transcript.pyannote[2708].speaker SPEAKER_15
transcript.pyannote[2708].start 11405.13471875
transcript.pyannote[2708].end 11405.97846875
transcript.pyannote[2709].speaker SPEAKER_27
transcript.pyannote[2709].start 11418.04409375
transcript.pyannote[2709].end 11418.44909375
transcript.pyannote[2710].speaker SPEAKER_27
transcript.pyannote[2710].start 11418.95534375
transcript.pyannote[2710].end 11423.02221875
transcript.pyannote[2711].speaker SPEAKER_27
transcript.pyannote[2711].start 11424.20346875
transcript.pyannote[2711].end 11429.45159375
transcript.pyannote[2712].speaker SPEAKER_15
transcript.pyannote[2712].start 11429.13096875
transcript.pyannote[2712].end 11431.12221875
transcript.pyannote[2713].speaker SPEAKER_15
transcript.pyannote[2713].start 11431.74659375
transcript.pyannote[2713].end 11434.05846875
transcript.pyannote[2714].speaker SPEAKER_27
transcript.pyannote[2714].start 11431.81409375
transcript.pyannote[2714].end 11432.15159375
transcript.pyannote[2715].speaker SPEAKER_27
transcript.pyannote[2715].start 11432.43846875
transcript.pyannote[2715].end 11437.95659375
transcript.pyannote[2716].speaker SPEAKER_13
transcript.pyannote[2716].start 11434.05846875
transcript.pyannote[2716].end 11434.09221875
transcript.pyannote[2717].speaker SPEAKER_27
transcript.pyannote[2717].start 11438.71596875
transcript.pyannote[2717].end 11439.22221875
transcript.pyannote[2718].speaker SPEAKER_27
transcript.pyannote[2718].start 11439.91409375
transcript.pyannote[2718].end 11441.73659375
transcript.pyannote[2719].speaker SPEAKER_13
transcript.pyannote[2719].start 11440.63971875
transcript.pyannote[2719].end 11441.04471875
transcript.pyannote[2720].speaker SPEAKER_13
transcript.pyannote[2720].start 11441.41596875
transcript.pyannote[2720].end 11442.12471875
transcript.pyannote[2721].speaker SPEAKER_27
transcript.pyannote[2721].start 11442.34409375
transcript.pyannote[2721].end 11447.45721875
transcript.pyannote[2722].speaker SPEAKER_27
transcript.pyannote[2722].start 11448.48659375
transcript.pyannote[2722].end 11450.81534375
transcript.pyannote[2723].speaker SPEAKER_27
transcript.pyannote[2723].start 11452.36784375
transcript.pyannote[2723].end 11455.23659375
transcript.pyannote[2724].speaker SPEAKER_14
transcript.pyannote[2724].start 11455.33784375
transcript.pyannote[2724].end 11456.89034375
transcript.pyannote[2725].speaker SPEAKER_28
transcript.pyannote[2725].start 11456.89034375
transcript.pyannote[2725].end 11456.90721875
transcript.pyannote[2726].speaker SPEAKER_27
transcript.pyannote[2726].start 11457.49784375
transcript.pyannote[2726].end 11460.04596875
transcript.pyannote[2727].speaker SPEAKER_28
transcript.pyannote[2727].start 11460.90659375
transcript.pyannote[2727].end 11471.85846875
transcript.pyannote[2728].speaker SPEAKER_28
transcript.pyannote[2728].start 11471.92596875
transcript.pyannote[2728].end 11476.22909375
transcript.pyannote[2729].speaker SPEAKER_28
transcript.pyannote[2729].start 11476.48221875
transcript.pyannote[2729].end 11476.81971875
transcript.pyannote[2730].speaker SPEAKER_27
transcript.pyannote[2730].start 11477.24159375
transcript.pyannote[2730].end 11480.17784375
transcript.pyannote[2731].speaker SPEAKER_27
transcript.pyannote[2731].start 11480.41409375
transcript.pyannote[2731].end 11482.42221875
transcript.pyannote[2732].speaker SPEAKER_28
transcript.pyannote[2732].start 11482.38846875
transcript.pyannote[2732].end 11487.26534375
transcript.pyannote[2733].speaker SPEAKER_27
transcript.pyannote[2733].start 11485.02096875
transcript.pyannote[2733].end 11485.49346875
transcript.pyannote[2734].speaker SPEAKER_27
transcript.pyannote[2734].start 11486.16846875
transcript.pyannote[2734].end 11497.55909375
transcript.pyannote[2735].speaker SPEAKER_28
transcript.pyannote[2735].start 11498.48721875
transcript.pyannote[2735].end 11503.66784375
transcript.pyannote[2736].speaker SPEAKER_28
transcript.pyannote[2736].start 11503.97159375
transcript.pyannote[2736].end 11507.27909375
transcript.pyannote[2737].speaker SPEAKER_27
transcript.pyannote[2737].start 11506.55346875
transcript.pyannote[2737].end 11508.56159375
transcript.pyannote[2738].speaker SPEAKER_28
transcript.pyannote[2738].start 11507.54909375
transcript.pyannote[2738].end 11507.73471875
transcript.pyannote[2739].speaker SPEAKER_28
transcript.pyannote[2739].start 11508.39284375
transcript.pyannote[2739].end 11509.08471875
transcript.pyannote[2740].speaker SPEAKER_28
transcript.pyannote[2740].start 11509.54034375
transcript.pyannote[2740].end 11511.86909375
transcript.pyannote[2741].speaker SPEAKER_27
transcript.pyannote[2741].start 11509.57409375
transcript.pyannote[2741].end 11510.09721875
transcript.pyannote[2742].speaker SPEAKER_27
transcript.pyannote[2742].start 11511.91971875
transcript.pyannote[2742].end 11513.11784375
transcript.pyannote[2743].speaker SPEAKER_28
transcript.pyannote[2743].start 11514.48471875
transcript.pyannote[2743].end 11516.61096875
transcript.pyannote[2744].speaker SPEAKER_28
transcript.pyannote[2744].start 11516.89784375
transcript.pyannote[2744].end 11516.94846875
transcript.pyannote[2745].speaker SPEAKER_27
transcript.pyannote[2745].start 11517.15096875
transcript.pyannote[2745].end 11518.92284375
transcript.pyannote[2746].speaker SPEAKER_27
transcript.pyannote[2746].start 11519.26034375
transcript.pyannote[2746].end 11523.54659375
transcript.pyannote[2747].speaker SPEAKER_27
transcript.pyannote[2747].start 11524.00221875
transcript.pyannote[2747].end 11528.18721875
transcript.pyannote[2748].speaker SPEAKER_27
transcript.pyannote[2748].start 11528.60909375
transcript.pyannote[2748].end 11531.57909375
transcript.pyannote[2749].speaker SPEAKER_29
transcript.pyannote[2749].start 11531.57909375
transcript.pyannote[2749].end 11532.01784375
transcript.pyannote[2750].speaker SPEAKER_27
transcript.pyannote[2750].start 11532.87846875
transcript.pyannote[2750].end 11533.18221875
transcript.pyannote[2751].speaker SPEAKER_27
transcript.pyannote[2751].start 11533.70534375
transcript.pyannote[2751].end 11536.64159375
transcript.pyannote[2752].speaker SPEAKER_27
transcript.pyannote[2752].start 11536.96221875
transcript.pyannote[2752].end 11548.36971875
transcript.pyannote[2753].speaker SPEAKER_28
transcript.pyannote[2753].start 11548.36971875
transcript.pyannote[2753].end 11548.75784375
transcript.pyannote[2754].speaker SPEAKER_27
transcript.pyannote[2754].start 11549.21346875
transcript.pyannote[2754].end 11551.45784375
transcript.pyannote[2755].speaker SPEAKER_27
transcript.pyannote[2755].start 11552.53784375
transcript.pyannote[2755].end 11555.96346875
transcript.pyannote[2756].speaker SPEAKER_14
transcript.pyannote[2756].start 11555.62596875
transcript.pyannote[2756].end 11556.30096875
transcript.pyannote[2757].speaker SPEAKER_27
transcript.pyannote[2757].start 11556.30096875
transcript.pyannote[2757].end 11558.07284375
transcript.pyannote[2758].speaker SPEAKER_14
transcript.pyannote[2758].start 11556.31784375
transcript.pyannote[2758].end 11556.35159375
transcript.pyannote[2759].speaker SPEAKER_27
transcript.pyannote[2759].start 11558.19096875
transcript.pyannote[2759].end 11560.03034375
transcript.pyannote[2760].speaker SPEAKER_27
transcript.pyannote[2760].start 11561.61659375
transcript.pyannote[2760].end 11561.83596875
transcript.pyannote[2761].speaker SPEAKER_27
transcript.pyannote[2761].start 11562.54471875
transcript.pyannote[2761].end 11564.14784375
transcript.pyannote[2762].speaker SPEAKER_13
transcript.pyannote[2762].start 11564.72159375
transcript.pyannote[2762].end 11564.80596875
transcript.pyannote[2763].speaker SPEAKER_27
transcript.pyannote[2763].start 11564.80596875
transcript.pyannote[2763].end 11565.10971875
transcript.pyannote[2764].speaker SPEAKER_27
transcript.pyannote[2764].start 11565.19409375
transcript.pyannote[2764].end 11567.25284375
transcript.pyannote[2765].speaker SPEAKER_27
transcript.pyannote[2765].start 11567.70846875
transcript.pyannote[2765].end 11568.55221875
transcript.pyannote[2766].speaker SPEAKER_27
transcript.pyannote[2766].start 11569.53096875
transcript.pyannote[2766].end 11570.86409375
transcript.pyannote[2767].speaker SPEAKER_27
transcript.pyannote[2767].start 11571.52221875
transcript.pyannote[2767].end 11572.63596875
transcript.pyannote[2768].speaker SPEAKER_27
transcript.pyannote[2768].start 11572.95659375
transcript.pyannote[2768].end 11574.08721875
transcript.pyannote[2769].speaker SPEAKER_15
transcript.pyannote[2769].start 11574.55971875
transcript.pyannote[2769].end 11575.84221875
transcript.pyannote[2770].speaker SPEAKER_15
transcript.pyannote[2770].start 11576.07846875
transcript.pyannote[2770].end 11586.23721875
transcript.pyannote[2771].speaker SPEAKER_27
transcript.pyannote[2771].start 11584.61721875
transcript.pyannote[2771].end 11585.69721875
transcript.pyannote[2772].speaker SPEAKER_27
transcript.pyannote[2772].start 11586.01784375
transcript.pyannote[2772].end 11586.22034375
transcript.pyannote[2773].speaker SPEAKER_27
transcript.pyannote[2773].start 11586.23721875
transcript.pyannote[2773].end 11590.55721875
transcript.pyannote[2774].speaker SPEAKER_23
transcript.pyannote[2774].start 11587.70534375
transcript.pyannote[2774].end 11587.77284375
transcript.pyannote[2775].speaker SPEAKER_27
transcript.pyannote[2775].start 11590.97909375
transcript.pyannote[2775].end 11595.68721875
transcript.pyannote[2776].speaker SPEAKER_27
transcript.pyannote[2776].start 11596.63221875
transcript.pyannote[2776].end 11601.05346875
transcript.pyannote[2777].speaker SPEAKER_27
transcript.pyannote[2777].start 11601.72846875
transcript.pyannote[2777].end 11603.63534375
transcript.pyannote[2778].speaker SPEAKER_15
transcript.pyannote[2778].start 11603.51721875
transcript.pyannote[2778].end 11604.81659375
transcript.pyannote[2779].speaker SPEAKER_27
transcript.pyannote[2779].start 11604.14159375
transcript.pyannote[2779].end 11604.51284375
transcript.pyannote[2780].speaker SPEAKER_27
transcript.pyannote[2780].start 11604.76596875
transcript.pyannote[2780].end 11609.06909375
transcript.pyannote[2781].speaker SPEAKER_15
transcript.pyannote[2781].start 11606.62221875
transcript.pyannote[2781].end 11606.94284375
transcript.pyannote[2782].speaker SPEAKER_27
transcript.pyannote[2782].start 11609.62596875
transcript.pyannote[2782].end 11610.11534375
transcript.pyannote[2783].speaker SPEAKER_27
transcript.pyannote[2783].start 11610.62159375
transcript.pyannote[2783].end 11612.08971875
transcript.pyannote[2784].speaker SPEAKER_15
transcript.pyannote[2784].start 11612.08971875
transcript.pyannote[2784].end 11612.10659375
transcript.pyannote[2785].speaker SPEAKER_27
transcript.pyannote[2785].start 11612.10659375
transcript.pyannote[2785].end 11612.19096875
transcript.pyannote[2786].speaker SPEAKER_15
transcript.pyannote[2786].start 11612.19096875
transcript.pyannote[2786].end 11612.44409375
transcript.pyannote[2787].speaker SPEAKER_27
transcript.pyannote[2787].start 11612.44409375
transcript.pyannote[2787].end 11613.67596875
transcript.pyannote[2788].speaker SPEAKER_15
transcript.pyannote[2788].start 11613.05159375
transcript.pyannote[2788].end 11613.65909375
transcript.pyannote[2789].speaker SPEAKER_15
transcript.pyannote[2789].start 11613.67596875
transcript.pyannote[2789].end 11614.03034375
transcript.pyannote[2790].speaker SPEAKER_27
transcript.pyannote[2790].start 11614.03034375
transcript.pyannote[2790].end 11614.33409375
transcript.pyannote[2791].speaker SPEAKER_27
transcript.pyannote[2791].start 11614.57034375
transcript.pyannote[2791].end 11615.88659375
transcript.pyannote[2792].speaker SPEAKER_15
transcript.pyannote[2792].start 11615.17784375
transcript.pyannote[2792].end 11615.68409375
transcript.pyannote[2793].speaker SPEAKER_27
transcript.pyannote[2793].start 11615.95409375
transcript.pyannote[2793].end 11617.21971875
transcript.pyannote[2794].speaker SPEAKER_27
transcript.pyannote[2794].start 11617.89471875
transcript.pyannote[2794].end 11619.34596875
transcript.pyannote[2795].speaker SPEAKER_27
transcript.pyannote[2795].start 11619.53159375
transcript.pyannote[2795].end 11622.28221875
transcript.pyannote[2796].speaker SPEAKER_27
transcript.pyannote[2796].start 11623.10909375
transcript.pyannote[2796].end 11631.02346875
transcript.pyannote[2797].speaker SPEAKER_13
transcript.pyannote[2797].start 11624.71221875
transcript.pyannote[2797].end 11625.11721875
transcript.pyannote[2798].speaker SPEAKER_27
transcript.pyannote[2798].start 11631.20909375
transcript.pyannote[2798].end 11632.57596875
transcript.pyannote[2799].speaker SPEAKER_13
transcript.pyannote[2799].start 11632.25534375
transcript.pyannote[2799].end 11632.49159375
transcript.pyannote[2800].speaker SPEAKER_15
transcript.pyannote[2800].start 11632.49159375
transcript.pyannote[2800].end 11632.50846875
transcript.pyannote[2801].speaker SPEAKER_15
transcript.pyannote[2801].start 11632.57596875
transcript.pyannote[2801].end 11632.59284375
transcript.pyannote[2802].speaker SPEAKER_27
transcript.pyannote[2802].start 11633.20034375
transcript.pyannote[2802].end 11635.32659375
transcript.pyannote[2803].speaker SPEAKER_27
transcript.pyannote[2803].start 11636.40659375
transcript.pyannote[2803].end 11636.94659375
transcript.pyannote[2804].speaker SPEAKER_15
transcript.pyannote[2804].start 11637.45284375
transcript.pyannote[2804].end 11637.70596875
transcript.pyannote[2805].speaker SPEAKER_15
transcript.pyannote[2805].start 11637.90846875
transcript.pyannote[2805].end 11640.86159375
transcript.pyannote[2806].speaker SPEAKER_27
transcript.pyannote[2806].start 11641.19909375
transcript.pyannote[2806].end 11644.05096875
transcript.pyannote[2807].speaker SPEAKER_15
transcript.pyannote[2807].start 11644.05096875
transcript.pyannote[2807].end 11645.01284375
transcript.pyannote[2808].speaker SPEAKER_15
transcript.pyannote[2808].start 11645.63721875
transcript.pyannote[2808].end 11646.59909375
transcript.pyannote[2809].speaker SPEAKER_15
transcript.pyannote[2809].start 11647.10534375
transcript.pyannote[2809].end 11648.26971875
transcript.pyannote[2810].speaker SPEAKER_27
transcript.pyannote[2810].start 11647.37534375
transcript.pyannote[2810].end 11655.23909375
transcript.pyannote[2811].speaker SPEAKER_27
transcript.pyannote[2811].start 11656.42034375
transcript.pyannote[2811].end 11657.93909375
transcript.pyannote[2812].speaker SPEAKER_27
transcript.pyannote[2812].start 11659.05284375
transcript.pyannote[2812].end 11660.43659375
transcript.pyannote[2813].speaker SPEAKER_27
transcript.pyannote[2813].start 11661.41534375
transcript.pyannote[2813].end 11663.47409375
transcript.pyannote[2814].speaker SPEAKER_15
transcript.pyannote[2814].start 11665.27971875
transcript.pyannote[2814].end 11666.52846875
transcript.pyannote[2815].speaker SPEAKER_15
transcript.pyannote[2815].start 11666.81534375
transcript.pyannote[2815].end 11670.73034375
transcript.pyannote[2816].speaker SPEAKER_27
transcript.pyannote[2816].start 11668.35096875
transcript.pyannote[2816].end 11668.45221875
transcript.pyannote[2817].speaker SPEAKER_27
transcript.pyannote[2817].start 11668.62096875
transcript.pyannote[2817].end 11668.84034375
transcript.pyannote[2818].speaker SPEAKER_27
transcript.pyannote[2818].start 11669.92034375
transcript.pyannote[2818].end 11683.72409375
transcript.pyannote[2819].speaker SPEAKER_15
transcript.pyannote[2819].start 11675.64096875
transcript.pyannote[2819].end 11675.72534375
transcript.pyannote[2820].speaker SPEAKER_15
transcript.pyannote[2820].start 11683.87596875
transcript.pyannote[2820].end 11684.02784375
transcript.pyannote[2821].speaker SPEAKER_27
transcript.pyannote[2821].start 11684.02784375
transcript.pyannote[2821].end 11684.07846875
transcript.pyannote[2822].speaker SPEAKER_15
transcript.pyannote[2822].start 11684.07846875
transcript.pyannote[2822].end 11684.14596875
transcript.pyannote[2823].speaker SPEAKER_27
transcript.pyannote[2823].start 11684.43284375
transcript.pyannote[2823].end 11685.15846875
transcript.pyannote[2824].speaker SPEAKER_15
transcript.pyannote[2824].start 11684.70284375
transcript.pyannote[2824].end 11685.04034375
transcript.pyannote[2825].speaker SPEAKER_15
transcript.pyannote[2825].start 11685.36096875
transcript.pyannote[2825].end 11687.80784375
transcript.pyannote[2826].speaker SPEAKER_15
transcript.pyannote[2826].start 11688.87096875
transcript.pyannote[2826].end 11689.02284375
transcript.pyannote[2827].speaker SPEAKER_27
transcript.pyannote[2827].start 11689.02284375
transcript.pyannote[2827].end 11689.03971875
transcript.pyannote[2828].speaker SPEAKER_15
transcript.pyannote[2828].start 11689.03971875
transcript.pyannote[2828].end 11689.17471875
transcript.pyannote[2829].speaker SPEAKER_27
transcript.pyannote[2829].start 11689.17471875
transcript.pyannote[2829].end 11692.02659375
transcript.pyannote[2830].speaker SPEAKER_15
transcript.pyannote[2830].start 11692.02659375
transcript.pyannote[2830].end 11698.25346875
transcript.pyannote[2831].speaker SPEAKER_27
transcript.pyannote[2831].start 11692.06034375
transcript.pyannote[2831].end 11692.07721875
transcript.pyannote[2832].speaker SPEAKER_15
transcript.pyannote[2832].start 11698.82721875
transcript.pyannote[2832].end 11700.97034375
transcript.pyannote[2833].speaker SPEAKER_27
transcript.pyannote[2833].start 11701.12221875
transcript.pyannote[2833].end 11701.91534375
transcript.pyannote[2834].speaker SPEAKER_15
transcript.pyannote[2834].start 11701.45971875
transcript.pyannote[2834].end 11703.13034375
transcript.pyannote[2835].speaker SPEAKER_27
transcript.pyannote[2835].start 11703.13034375
transcript.pyannote[2835].end 11704.32846875
transcript.pyannote[2836].speaker SPEAKER_15
transcript.pyannote[2836].start 11704.58159375
transcript.pyannote[2836].end 11706.94409375
transcript.pyannote[2837].speaker SPEAKER_27
transcript.pyannote[2837].start 11705.71221875
transcript.pyannote[2837].end 11706.26909375
transcript.pyannote[2838].speaker SPEAKER_27
transcript.pyannote[2838].start 11706.97784375
transcript.pyannote[2838].end 11707.55159375
transcript.pyannote[2839].speaker SPEAKER_15
transcript.pyannote[2839].start 11707.75409375
transcript.pyannote[2839].end 11709.99846875
transcript.pyannote[2840].speaker SPEAKER_27
transcript.pyannote[2840].start 11709.10409375
transcript.pyannote[2840].end 11711.87159375
transcript.pyannote[2841].speaker SPEAKER_15
transcript.pyannote[2841].start 11710.70721875
transcript.pyannote[2841].end 11711.28096875
transcript.pyannote[2842].speaker SPEAKER_15
transcript.pyannote[2842].start 11711.95596875
transcript.pyannote[2842].end 11714.43659375
transcript.pyannote[2843].speaker SPEAKER_27
transcript.pyannote[2843].start 11714.31846875
transcript.pyannote[2843].end 11715.51659375
transcript.pyannote[2844].speaker SPEAKER_27
transcript.pyannote[2844].start 11716.14096875
transcript.pyannote[2844].end 11719.00971875
transcript.pyannote[2845].speaker SPEAKER_15
transcript.pyannote[2845].start 11717.92971875
transcript.pyannote[2845].end 11719.97159375
transcript.pyannote[2846].speaker SPEAKER_27
transcript.pyannote[2846].start 11719.31346875
transcript.pyannote[2846].end 11723.05971875
transcript.pyannote[2847].speaker SPEAKER_15
transcript.pyannote[2847].start 11720.03909375
transcript.pyannote[2847].end 11721.49034375
transcript.pyannote[2848].speaker SPEAKER_15
transcript.pyannote[2848].start 11722.38471875
transcript.pyannote[2848].end 11723.65034375
transcript.pyannote[2849].speaker SPEAKER_27
transcript.pyannote[2849].start 11723.41409375
transcript.pyannote[2849].end 11725.37159375
transcript.pyannote[2850].speaker SPEAKER_15
transcript.pyannote[2850].start 11724.81471875
transcript.pyannote[2850].end 11727.24471875
transcript.pyannote[2851].speaker SPEAKER_27
transcript.pyannote[2851].start 11727.73409375
transcript.pyannote[2851].end 11729.15159375
transcript.pyannote[2852].speaker SPEAKER_15
transcript.pyannote[2852].start 11728.51034375
transcript.pyannote[2852].end 11728.93221875
transcript.pyannote[2853].speaker SPEAKER_13
transcript.pyannote[2853].start 11728.93221875
transcript.pyannote[2853].end 11728.98284375
transcript.pyannote[2854].speaker SPEAKER_15
transcript.pyannote[2854].start 11728.98284375
transcript.pyannote[2854].end 11728.99971875
transcript.pyannote[2855].speaker SPEAKER_13
transcript.pyannote[2855].start 11728.99971875
transcript.pyannote[2855].end 11729.06721875
transcript.pyannote[2856].speaker SPEAKER_15
transcript.pyannote[2856].start 11729.06721875
transcript.pyannote[2856].end 11729.55659375
transcript.pyannote[2857].speaker SPEAKER_27
transcript.pyannote[2857].start 11729.55659375
transcript.pyannote[2857].end 11746.22909375
transcript.pyannote[2858].speaker SPEAKER_13
transcript.pyannote[2858].start 11730.97409375
transcript.pyannote[2858].end 11731.02471875
transcript.pyannote[2859].speaker SPEAKER_27
transcript.pyannote[2859].start 11747.14034375
transcript.pyannote[2859].end 11751.27471875
transcript.pyannote[2860].speaker SPEAKER_27
transcript.pyannote[2860].start 11752.08471875
transcript.pyannote[2860].end 11753.41784375
transcript.pyannote[2861].speaker SPEAKER_15
transcript.pyannote[2861].start 11756.05034375
transcript.pyannote[2861].end 11757.02909375
transcript.pyannote[2862].speaker SPEAKER_27
transcript.pyannote[2862].start 11756.77596875
transcript.pyannote[2862].end 11760.52221875
transcript.pyannote[2863].speaker SPEAKER_23
transcript.pyannote[2863].start 11758.58159375
transcript.pyannote[2863].end 11759.35784375
transcript.pyannote[2864].speaker SPEAKER_23
transcript.pyannote[2864].start 11760.52221875
transcript.pyannote[2864].end 11769.78659375
transcript.pyannote[2865].speaker SPEAKER_23
transcript.pyannote[2865].start 11770.10721875
transcript.pyannote[2865].end 11773.26284375
transcript.pyannote[2866].speaker SPEAKER_23
transcript.pyannote[2866].start 11773.54971875
transcript.pyannote[2866].end 11779.89471875
transcript.pyannote[2867].speaker SPEAKER_27
transcript.pyannote[2867].start 11776.35096875
transcript.pyannote[2867].end 11776.75596875
transcript.pyannote[2868].speaker SPEAKER_27
transcript.pyannote[2868].start 11779.89471875
transcript.pyannote[2868].end 11787.60659375
transcript.pyannote[2869].speaker SPEAKER_27
transcript.pyannote[2869].start 11787.89346875
transcript.pyannote[2869].end 11790.00284375
transcript.pyannote[2870].speaker SPEAKER_27
transcript.pyannote[2870].start 11790.59346875
transcript.pyannote[2870].end 11791.69034375
transcript.pyannote[2871].speaker SPEAKER_23
transcript.pyannote[2871].start 11792.07846875
transcript.pyannote[2871].end 11795.38596875
transcript.pyannote[2872].speaker SPEAKER_23
transcript.pyannote[2872].start 11795.60534375
transcript.pyannote[2872].end 11802.05159375
transcript.pyannote[2873].speaker SPEAKER_27
transcript.pyannote[2873].start 11799.90846875
transcript.pyannote[2873].end 11805.37596875
transcript.pyannote[2874].speaker SPEAKER_27
transcript.pyannote[2874].start 11805.49409375
transcript.pyannote[2874].end 11811.13034375
transcript.pyannote[2875].speaker SPEAKER_27
transcript.pyannote[2875].start 11811.56909375
transcript.pyannote[2875].end 11815.29846875
transcript.pyannote[2876].speaker SPEAKER_27
transcript.pyannote[2876].start 11815.90596875
transcript.pyannote[2876].end 11819.07846875
transcript.pyannote[2877].speaker SPEAKER_27
transcript.pyannote[2877].start 11819.55096875
transcript.pyannote[2877].end 11828.02221875
transcript.pyannote[2878].speaker SPEAKER_27
transcript.pyannote[2878].start 11828.14034375
transcript.pyannote[2878].end 11831.58284375
transcript.pyannote[2879].speaker SPEAKER_27
transcript.pyannote[2879].start 11831.98784375
transcript.pyannote[2879].end 11835.64971875
transcript.pyannote[2880].speaker SPEAKER_27
transcript.pyannote[2880].start 11836.44284375
transcript.pyannote[2880].end 11837.82659375
transcript.pyannote[2881].speaker SPEAKER_27
transcript.pyannote[2881].start 11839.37909375
transcript.pyannote[2881].end 11839.81784375
transcript.pyannote[2882].speaker SPEAKER_27
transcript.pyannote[2882].start 11840.50971875
transcript.pyannote[2882].end 11842.63596875
transcript.pyannote[2883].speaker SPEAKER_27
transcript.pyannote[2883].start 11842.65284375
transcript.pyannote[2883].end 11842.72034375
transcript.pyannote[2884].speaker SPEAKER_15
transcript.pyannote[2884].start 11842.72034375
transcript.pyannote[2884].end 11842.97346875
transcript.pyannote[2885].speaker SPEAKER_27
transcript.pyannote[2885].start 11842.97346875
transcript.pyannote[2885].end 11843.02409375
transcript.pyannote[2886].speaker SPEAKER_27
transcript.pyannote[2886].start 11843.05784375
transcript.pyannote[2886].end 11844.37409375
transcript.pyannote[2887].speaker SPEAKER_15
transcript.pyannote[2887].start 11844.10409375
transcript.pyannote[2887].end 11846.65221875
transcript.pyannote[2888].speaker SPEAKER_15
transcript.pyannote[2888].start 11847.17534375
transcript.pyannote[2888].end 11853.08159375
transcript.pyannote[2889].speaker SPEAKER_27
transcript.pyannote[2889].start 11851.05659375
transcript.pyannote[2889].end 11854.58346875
transcript.pyannote[2890].speaker SPEAKER_15
transcript.pyannote[2890].start 11854.39784375
transcript.pyannote[2890].end 11856.54096875
transcript.pyannote[2891].speaker SPEAKER_27
transcript.pyannote[2891].start 11856.54096875
transcript.pyannote[2891].end 11857.55346875
transcript.pyannote[2892].speaker SPEAKER_15
transcript.pyannote[2892].start 11856.55784375
transcript.pyannote[2892].end 11857.65471875
transcript.pyannote[2893].speaker SPEAKER_27
transcript.pyannote[2893].start 11858.70096875
transcript.pyannote[2893].end 11859.22409375
transcript.pyannote[2894].speaker SPEAKER_27
transcript.pyannote[2894].start 11859.61221875
transcript.pyannote[2894].end 11868.26909375
transcript.pyannote[2895].speaker SPEAKER_15
transcript.pyannote[2895].start 11862.02534375
transcript.pyannote[2895].end 11862.78471875
transcript.pyannote[2896].speaker SPEAKER_13
transcript.pyannote[2896].start 11862.78471875
transcript.pyannote[2896].end 11862.81846875
transcript.pyannote[2897].speaker SPEAKER_13
transcript.pyannote[2897].start 11866.36221875
transcript.pyannote[2897].end 11866.75034375
transcript.pyannote[2898].speaker SPEAKER_26
transcript.pyannote[2898].start 11866.75034375
transcript.pyannote[2898].end 11866.78409375
transcript.pyannote[2899].speaker SPEAKER_00
transcript.pyannote[2899].start 11866.78409375
transcript.pyannote[2899].end 11866.81784375
transcript.pyannote[2900].speaker SPEAKER_27
transcript.pyannote[2900].start 11868.57284375
transcript.pyannote[2900].end 11871.20534375
transcript.pyannote[2901].speaker SPEAKER_27
transcript.pyannote[2901].start 11871.64409375
transcript.pyannote[2901].end 11875.86284375
transcript.pyannote[2902].speaker SPEAKER_03
transcript.pyannote[2902].start 11875.86284375
transcript.pyannote[2902].end 11876.11596875
transcript.pyannote[2903].speaker SPEAKER_27
transcript.pyannote[2903].start 11876.11596875
transcript.pyannote[2903].end 11877.58409375
transcript.pyannote[2904].speaker SPEAKER_27
transcript.pyannote[2904].start 11877.82034375
transcript.pyannote[2904].end 11877.83721875
transcript.pyannote[2905].speaker SPEAKER_03
transcript.pyannote[2905].start 11877.83721875
transcript.pyannote[2905].end 11877.97221875
transcript.pyannote[2906].speaker SPEAKER_27
transcript.pyannote[2906].start 11877.97221875
transcript.pyannote[2906].end 11879.72721875
transcript.pyannote[2907].speaker SPEAKER_27
transcript.pyannote[2907].start 11880.03096875
transcript.pyannote[2907].end 11883.49034375
transcript.pyannote[2908].speaker SPEAKER_14
transcript.pyannote[2908].start 11883.50721875
transcript.pyannote[2908].end 11883.54096875
transcript.pyannote[2909].speaker SPEAKER_15
transcript.pyannote[2909].start 11883.54096875
transcript.pyannote[2909].end 11883.81096875
transcript.pyannote[2910].speaker SPEAKER_14
transcript.pyannote[2910].start 11884.16534375
transcript.pyannote[2910].end 11884.18221875
transcript.pyannote[2911].speaker SPEAKER_15
transcript.pyannote[2911].start 11884.18221875
transcript.pyannote[2911].end 11884.41846875
transcript.pyannote[2912].speaker SPEAKER_27
transcript.pyannote[2912].start 11884.63784375
transcript.pyannote[2912].end 11886.37596875
transcript.pyannote[2913].speaker SPEAKER_27
transcript.pyannote[2913].start 11887.42221875
transcript.pyannote[2913].end 11887.92846875
transcript.pyannote[2914].speaker SPEAKER_15
transcript.pyannote[2914].start 11887.47284375
transcript.pyannote[2914].end 11888.23221875
transcript.pyannote[2915].speaker SPEAKER_15
transcript.pyannote[2915].start 11888.87346875
transcript.pyannote[2915].end 11889.36284375
transcript.pyannote[2916].speaker SPEAKER_15
transcript.pyannote[2916].start 11890.24034375
transcript.pyannote[2916].end 11896.26471875
transcript.pyannote[2917].speaker SPEAKER_27
transcript.pyannote[2917].start 11895.06659375
transcript.pyannote[2917].end 11897.37846875
transcript.pyannote[2918].speaker SPEAKER_27
transcript.pyannote[2918].start 11897.81721875
transcript.pyannote[2918].end 11899.23471875
transcript.pyannote[2919].speaker SPEAKER_27
transcript.pyannote[2919].start 11899.69034375
transcript.pyannote[2919].end 11902.81221875
transcript.pyannote[2920].speaker SPEAKER_15
transcript.pyannote[2920].start 11902.64346875
transcript.pyannote[2920].end 11906.99721875
transcript.pyannote[2921].speaker SPEAKER_27
transcript.pyannote[2921].start 11906.32221875
transcript.pyannote[2921].end 11909.44409375
transcript.pyannote[2922].speaker SPEAKER_15
transcript.pyannote[2922].start 11908.63409375
transcript.pyannote[2922].end 11909.27534375
transcript.pyannote[2923].speaker SPEAKER_27
transcript.pyannote[2923].start 11909.59596875
transcript.pyannote[2923].end 11911.68846875
transcript.pyannote[2924].speaker SPEAKER_15
transcript.pyannote[2924].start 11912.90346875
transcript.pyannote[2924].end 11914.86096875
transcript.pyannote[2925].speaker SPEAKER_15
transcript.pyannote[2925].start 11915.41784375
transcript.pyannote[2925].end 11916.43034375
transcript.pyannote[2926].speaker SPEAKER_27
transcript.pyannote[2926].start 11916.16034375
transcript.pyannote[2926].end 11917.00409375
transcript.pyannote[2927].speaker SPEAKER_15
transcript.pyannote[2927].start 11917.81409375
transcript.pyannote[2927].end 11921.37471875
transcript.pyannote[2928].speaker SPEAKER_34
transcript.pyannote[2928].start 11923.12971875
transcript.pyannote[2928].end 11925.01971875
transcript.pyannote[2929].speaker SPEAKER_34
transcript.pyannote[2929].start 11928.37784375
transcript.pyannote[2929].end 11930.53784375
transcript.pyannote[2930].speaker SPEAKER_11
transcript.pyannote[2930].start 11935.90409375
transcript.pyannote[2930].end 11939.17784375
transcript.pyannote[2931].speaker SPEAKER_29
transcript.pyannote[2931].start 11940.56159375
transcript.pyannote[2931].end 11940.83159375
transcript.pyannote[2932].speaker SPEAKER_03
transcript.pyannote[2932].start 11947.42971875
transcript.pyannote[2932].end 11948.17221875
transcript.pyannote[2933].speaker SPEAKER_11
transcript.pyannote[2933].start 11948.52659375
transcript.pyannote[2933].end 11948.99909375
transcript.pyannote[2934].speaker SPEAKER_11
transcript.pyannote[2934].start 11949.42096875
transcript.pyannote[2934].end 11962.60034375
transcript.pyannote[2935].speaker SPEAKER_11
transcript.pyannote[2935].start 11962.88721875
transcript.pyannote[2935].end 11981.75346875
transcript.pyannote[2936].speaker SPEAKER_11
transcript.pyannote[2936].start 11981.98971875
transcript.pyannote[2936].end 11998.76346875
transcript.pyannote[2937].speaker SPEAKER_11
transcript.pyannote[2937].start 11998.96596875
transcript.pyannote[2937].end 12022.97909375
transcript.pyannote[2938].speaker SPEAKER_03
transcript.pyannote[2938].start 12023.41784375
transcript.pyannote[2938].end 12024.76784375
transcript.pyannote[2939].speaker SPEAKER_03
transcript.pyannote[2939].start 12025.17284375
transcript.pyannote[2939].end 12048.08909375
transcript.pyannote[2940].speaker SPEAKER_11
transcript.pyannote[2940].start 12046.89096875
transcript.pyannote[2940].end 12051.19409375
transcript.pyannote[2941].speaker SPEAKER_03
transcript.pyannote[2941].start 12048.76409375
transcript.pyannote[2941].end 12049.20284375
transcript.pyannote[2942].speaker SPEAKER_11
transcript.pyannote[2942].start 12051.70034375
transcript.pyannote[2942].end 12054.29909375
transcript.pyannote[2943].speaker SPEAKER_11
transcript.pyannote[2943].start 12054.41721875
transcript.pyannote[2943].end 12055.10909375
transcript.pyannote[2944].speaker SPEAKER_11
transcript.pyannote[2944].start 12055.37909375
transcript.pyannote[2944].end 12057.08346875
transcript.pyannote[2945].speaker SPEAKER_03
transcript.pyannote[2945].start 12057.13409375
transcript.pyannote[2945].end 12060.17159375
transcript.pyannote[2946].speaker SPEAKER_11
transcript.pyannote[2946].start 12058.36596875
transcript.pyannote[2946].end 12065.53784375
transcript.pyannote[2947].speaker SPEAKER_03
transcript.pyannote[2947].start 12065.87534375
transcript.pyannote[2947].end 12072.37221875
transcript.pyannote[2948].speaker SPEAKER_11
transcript.pyannote[2948].start 12070.83659375
transcript.pyannote[2948].end 12072.27096875
transcript.pyannote[2949].speaker SPEAKER_11
transcript.pyannote[2949].start 12072.59159375
transcript.pyannote[2949].end 12078.63284375
transcript.pyannote[2950].speaker SPEAKER_03
transcript.pyannote[2950].start 12078.80159375
transcript.pyannote[2950].end 12087.05346875
transcript.pyannote[2951].speaker SPEAKER_03
transcript.pyannote[2951].start 12087.44159375
transcript.pyannote[2951].end 12089.39909375
transcript.pyannote[2952].speaker SPEAKER_11
transcript.pyannote[2952].start 12087.45846875
transcript.pyannote[2952].end 12091.67721875
transcript.pyannote[2953].speaker SPEAKER_11
transcript.pyannote[2953].start 12091.94721875
transcript.pyannote[2953].end 12099.35534375
transcript.pyannote[2954].speaker SPEAKER_03
transcript.pyannote[2954].start 12099.82784375
transcript.pyannote[2954].end 12103.59096875
transcript.pyannote[2955].speaker SPEAKER_03
transcript.pyannote[2955].start 12103.67534375
transcript.pyannote[2955].end 12106.64534375
transcript.pyannote[2956].speaker SPEAKER_11
transcript.pyannote[2956].start 12105.64971875
transcript.pyannote[2956].end 12112.09596875
transcript.pyannote[2957].speaker SPEAKER_03
transcript.pyannote[2957].start 12112.36596875
transcript.pyannote[2957].end 12123.67221875
transcript.pyannote[2958].speaker SPEAKER_11
transcript.pyannote[2958].start 12114.61034375
transcript.pyannote[2958].end 12114.74534375
transcript.pyannote[2959].speaker SPEAKER_11
transcript.pyannote[2959].start 12120.26346875
transcript.pyannote[2959].end 12120.61784375
transcript.pyannote[2960].speaker SPEAKER_11
transcript.pyannote[2960].start 12122.00159375
transcript.pyannote[2960].end 12128.95409375
transcript.pyannote[2961].speaker SPEAKER_03
transcript.pyannote[2961].start 12127.89096875
transcript.pyannote[2961].end 12128.26221875
transcript.pyannote[2962].speaker SPEAKER_03
transcript.pyannote[2962].start 12129.05534375
transcript.pyannote[2962].end 12133.45971875
transcript.pyannote[2963].speaker SPEAKER_11
transcript.pyannote[2963].start 12129.57846875
transcript.pyannote[2963].end 12131.02971875
transcript.pyannote[2964].speaker SPEAKER_11
transcript.pyannote[2964].start 12132.32909375
transcript.pyannote[2964].end 12134.13471875
transcript.pyannote[2965].speaker SPEAKER_03
transcript.pyannote[2965].start 12134.13471875
transcript.pyannote[2965].end 12134.57346875
transcript.pyannote[2966].speaker SPEAKER_03
transcript.pyannote[2966].start 12134.82659375
transcript.pyannote[2966].end 12137.13846875
transcript.pyannote[2967].speaker SPEAKER_11
transcript.pyannote[2967].start 12134.86034375
transcript.pyannote[2967].end 12159.83534375
transcript.pyannote[2968].speaker SPEAKER_03
transcript.pyannote[2968].start 12141.89721875
transcript.pyannote[2968].end 12142.33596875
transcript.pyannote[2969].speaker SPEAKER_00
transcript.pyannote[2969].start 12142.33596875
transcript.pyannote[2969].end 12142.36971875
transcript.pyannote[2970].speaker SPEAKER_00
transcript.pyannote[2970].start 12150.84096875
transcript.pyannote[2970].end 12150.85784375
transcript.pyannote[2971].speaker SPEAKER_13
transcript.pyannote[2971].start 12150.85784375
transcript.pyannote[2971].end 12151.21221875
transcript.pyannote[2972].speaker SPEAKER_03
transcript.pyannote[2972].start 12154.19909375
transcript.pyannote[2972].end 12154.48596875
transcript.pyannote[2973].speaker SPEAKER_03
transcript.pyannote[2973].start 12159.98721875
transcript.pyannote[2973].end 12167.17596875
transcript.pyannote[2974].speaker SPEAKER_11
transcript.pyannote[2974].start 12163.21034375
transcript.pyannote[2974].end 12167.93534375
transcript.pyannote[2975].speaker SPEAKER_03
transcript.pyannote[2975].start 12167.19284375
transcript.pyannote[2975].end 12167.22659375
transcript.pyannote[2976].speaker SPEAKER_03
transcript.pyannote[2976].start 12167.24346875
transcript.pyannote[2976].end 12168.22221875
transcript.pyannote[2977].speaker SPEAKER_11
transcript.pyannote[2977].start 12168.08721875
transcript.pyannote[2977].end 12190.98659375
transcript.pyannote[2978].speaker SPEAKER_29
transcript.pyannote[2978].start 12168.22221875
transcript.pyannote[2978].end 12168.23909375
transcript.pyannote[2979].speaker SPEAKER_03
transcript.pyannote[2979].start 12191.10471875
transcript.pyannote[2979].end 12200.47034375
transcript.pyannote[2980].speaker SPEAKER_03
transcript.pyannote[2980].start 12200.70659375
transcript.pyannote[2980].end 12204.70596875
transcript.pyannote[2981].speaker SPEAKER_03
transcript.pyannote[2981].start 12205.02659375
transcript.pyannote[2981].end 12208.55346875
transcript.pyannote[2982].speaker SPEAKER_15
transcript.pyannote[2982].start 12208.82346875
transcript.pyannote[2982].end 12209.44784375
transcript.pyannote[2983].speaker SPEAKER_15
transcript.pyannote[2983].start 12211.05096875
transcript.pyannote[2983].end 12218.96534375
transcript.pyannote[2984].speaker SPEAKER_11
transcript.pyannote[2984].start 12218.96534375
transcript.pyannote[2984].end 12226.03596875
transcript.pyannote[2985].speaker SPEAKER_15
transcript.pyannote[2985].start 12226.03596875
transcript.pyannote[2985].end 12226.76159375
transcript.pyannote[2986].speaker SPEAKER_11
transcript.pyannote[2986].start 12227.62221875
transcript.pyannote[2986].end 12228.28034375
transcript.pyannote[2987].speaker SPEAKER_15
transcript.pyannote[2987].start 12227.63909375
transcript.pyannote[2987].end 12227.65596875
transcript.pyannote[2988].speaker SPEAKER_15
transcript.pyannote[2988].start 12227.67284375
transcript.pyannote[2988].end 12242.53971875
transcript.pyannote[2989].speaker SPEAKER_11
transcript.pyannote[2989].start 12234.37221875
transcript.pyannote[2989].end 12236.07659375
transcript.pyannote[2990].speaker SPEAKER_15
transcript.pyannote[2990].start 12242.86034375
transcript.pyannote[2990].end 12246.35346875
transcript.pyannote[2991].speaker SPEAKER_11
transcript.pyannote[2991].start 12244.80096875
transcript.pyannote[2991].end 12245.49284375
transcript.pyannote[2992].speaker SPEAKER_15
transcript.pyannote[2992].start 12246.79221875
transcript.pyannote[2992].end 12248.42909375
transcript.pyannote[2993].speaker SPEAKER_11
transcript.pyannote[2993].start 12248.42909375
transcript.pyannote[2993].end 12260.03909375
transcript.pyannote[2994].speaker SPEAKER_15
transcript.pyannote[2994].start 12252.15846875
transcript.pyannote[2994].end 12252.95159375
transcript.pyannote[2995].speaker SPEAKER_15
transcript.pyannote[2995].start 12257.40659375
transcript.pyannote[2995].end 12259.26284375
transcript.pyannote[2996].speaker SPEAKER_15
transcript.pyannote[2996].start 12260.03909375
transcript.pyannote[2996].end 12265.47284375
transcript.pyannote[2997].speaker SPEAKER_11
transcript.pyannote[2997].start 12261.01784375
transcript.pyannote[2997].end 12261.43971875
transcript.pyannote[2998].speaker SPEAKER_11
transcript.pyannote[2998].start 12266.53596875
transcript.pyannote[2998].end 12278.39909375
transcript.pyannote[2999].speaker SPEAKER_15
transcript.pyannote[2999].start 12267.41346875
transcript.pyannote[2999].end 12268.08846875
transcript.pyannote[3000].speaker SPEAKER_15
transcript.pyannote[3000].start 12268.18971875
transcript.pyannote[3000].end 12269.87721875
transcript.pyannote[3001].speaker SPEAKER_00
transcript.pyannote[3001].start 12274.99034375
transcript.pyannote[3001].end 12275.68221875
transcript.pyannote[3002].speaker SPEAKER_11
transcript.pyannote[3002].start 12280.05284375
transcript.pyannote[3002].end 12281.18346875
transcript.pyannote[3003].speaker SPEAKER_34
transcript.pyannote[3003].start 12282.28034375
transcript.pyannote[3003].end 12282.83721875
transcript.pyannote[3004].speaker SPEAKER_11
transcript.pyannote[3004].start 12284.67659375
transcript.pyannote[3004].end 12290.09346875
transcript.pyannote[3005].speaker SPEAKER_34
transcript.pyannote[3005].start 12286.92096875
transcript.pyannote[3005].end 12287.59596875
transcript.pyannote[3006].speaker SPEAKER_34
transcript.pyannote[3006].start 12288.25409375
transcript.pyannote[3006].end 12288.72659375
transcript.pyannote[3007].speaker SPEAKER_11
transcript.pyannote[3007].start 12290.38034375
transcript.pyannote[3007].end 12293.24909375
transcript.pyannote[3008].speaker SPEAKER_11
transcript.pyannote[3008].start 12293.72159375
transcript.pyannote[3008].end 12299.20596875
transcript.pyannote[3009].speaker SPEAKER_11
transcript.pyannote[3009].start 12299.59409375
transcript.pyannote[3009].end 12322.94909375
transcript.pyannote[3010].speaker SPEAKER_11
transcript.pyannote[3010].start 12323.28659375
transcript.pyannote[3010].end 12323.55659375
transcript.pyannote[3011].speaker SPEAKER_11
transcript.pyannote[3011].start 12323.64096875
transcript.pyannote[3011].end 12328.68659375
transcript.pyannote[3012].speaker SPEAKER_00
transcript.pyannote[3012].start 12325.51409375
transcript.pyannote[3012].end 12325.61534375
transcript.pyannote[3013].speaker SPEAKER_11
transcript.pyannote[3013].start 12328.99034375
transcript.pyannote[3013].end 12331.85909375
transcript.pyannote[3014].speaker SPEAKER_11
transcript.pyannote[3014].start 12332.29784375
transcript.pyannote[3014].end 12333.78284375
transcript.pyannote[3015].speaker SPEAKER_11
transcript.pyannote[3015].start 12334.15409375
transcript.pyannote[3015].end 12344.58284375
transcript.pyannote[3016].speaker SPEAKER_11
transcript.pyannote[3016].start 12344.98784375
transcript.pyannote[3016].end 12353.39159375
transcript.pyannote[3017].speaker SPEAKER_11
transcript.pyannote[3017].start 12353.67846875
transcript.pyannote[3017].end 12359.07846875
transcript.pyannote[3018].speaker SPEAKER_11
transcript.pyannote[3018].start 12359.56784375
transcript.pyannote[3018].end 12360.29346875
transcript.pyannote[3019].speaker SPEAKER_02
transcript.pyannote[3019].start 12360.96846875
transcript.pyannote[3019].end 12384.79596875
transcript.pyannote[3020].speaker SPEAKER_11
transcript.pyannote[3020].start 12368.52846875
transcript.pyannote[3020].end 12370.35096875
transcript.pyannote[3021].speaker SPEAKER_11
transcript.pyannote[3021].start 12370.62096875
transcript.pyannote[3021].end 12370.97534375
transcript.pyannote[3022].speaker SPEAKER_00
transcript.pyannote[3022].start 12370.97534375
transcript.pyannote[3022].end 12371.36346875
transcript.pyannote[3023].speaker SPEAKER_11
transcript.pyannote[3023].start 12383.95221875
transcript.pyannote[3023].end 12398.78534375
transcript.pyannote[3024].speaker SPEAKER_02
transcript.pyannote[3024].start 12386.31471875
transcript.pyannote[3024].end 12387.34409375
transcript.pyannote[3025].speaker SPEAKER_02
transcript.pyannote[3025].start 12391.29284375
transcript.pyannote[3025].end 12392.52471875
transcript.pyannote[3026].speaker SPEAKER_02
transcript.pyannote[3026].start 12399.08909375
transcript.pyannote[3026].end 12402.85221875
transcript.pyannote[3027].speaker SPEAKER_11
transcript.pyannote[3027].start 12399.10596875
transcript.pyannote[3027].end 12399.88221875
transcript.pyannote[3028].speaker SPEAKER_11
transcript.pyannote[3028].start 12400.94534375
transcript.pyannote[3028].end 12402.24471875
transcript.pyannote[3029].speaker SPEAKER_11
transcript.pyannote[3029].start 12402.61596875
transcript.pyannote[3029].end 12403.98284375
transcript.pyannote[3030].speaker SPEAKER_11
transcript.pyannote[3030].start 12404.26971875
transcript.pyannote[3030].end 12415.03596875
transcript.pyannote[3031].speaker SPEAKER_11
transcript.pyannote[3031].start 12415.39034375
transcript.pyannote[3031].end 12420.03096875
transcript.pyannote[3032].speaker SPEAKER_11
transcript.pyannote[3032].start 12420.36846875
transcript.pyannote[3032].end 12421.48221875
transcript.pyannote[3033].speaker SPEAKER_11
transcript.pyannote[3033].start 12422.15721875
transcript.pyannote[3033].end 12424.60409375
transcript.pyannote[3034].speaker SPEAKER_02
transcript.pyannote[3034].start 12423.57471875
transcript.pyannote[3034].end 12425.90346875
transcript.pyannote[3035].speaker SPEAKER_11
transcript.pyannote[3035].start 12426.03846875
transcript.pyannote[3035].end 12449.96721875
transcript.pyannote[3036].speaker SPEAKER_02
transcript.pyannote[3036].start 12426.79784375
transcript.pyannote[3036].end 12427.59096875
transcript.pyannote[3037].speaker SPEAKER_08
transcript.pyannote[3037].start 12434.98221875
transcript.pyannote[3037].end 12435.13409375
transcript.pyannote[3038].speaker SPEAKER_08
transcript.pyannote[3038].start 12435.35346875
transcript.pyannote[3038].end 12435.38721875
transcript.pyannote[3039].speaker SPEAKER_08
transcript.pyannote[3039].start 12435.74159375
transcript.pyannote[3039].end 12436.07909375
transcript.pyannote[3040].speaker SPEAKER_08
transcript.pyannote[3040].start 12437.07471875
transcript.pyannote[3040].end 12437.61471875
transcript.pyannote[3041].speaker SPEAKER_00
transcript.pyannote[3041].start 12437.61471875
transcript.pyannote[3041].end 12437.68221875
transcript.pyannote[3042].speaker SPEAKER_08
transcript.pyannote[3042].start 12438.32346875
transcript.pyannote[3042].end 12438.64409375
transcript.pyannote[3043].speaker SPEAKER_08
transcript.pyannote[3043].start 12438.67784375
transcript.pyannote[3043].end 12438.77909375
transcript.pyannote[3044].speaker SPEAKER_00
transcript.pyannote[3044].start 12443.48721875
transcript.pyannote[3044].end 12443.85846875
transcript.pyannote[3045].speaker SPEAKER_00
transcript.pyannote[3045].start 12445.74846875
transcript.pyannote[3045].end 12446.64284375
transcript.pyannote[3046].speaker SPEAKER_00
transcript.pyannote[3046].start 12447.01409375
transcript.pyannote[3046].end 12447.72284375
transcript.pyannote[3047].speaker SPEAKER_11
transcript.pyannote[3047].start 12450.13596875
transcript.pyannote[3047].end 12455.19846875
transcript.pyannote[3048].speaker SPEAKER_34
transcript.pyannote[3048].start 12452.14409375
transcript.pyannote[3048].end 12453.07221875
transcript.pyannote[3049].speaker SPEAKER_34
transcript.pyannote[3049].start 12453.88221875
transcript.pyannote[3049].end 12454.28721875
transcript.pyannote[3050].speaker SPEAKER_11
transcript.pyannote[3050].start 12455.56971875
transcript.pyannote[3050].end 12457.72971875
transcript.pyannote[3051].speaker SPEAKER_11
transcript.pyannote[3051].start 12459.11346875
transcript.pyannote[3051].end 12459.70409375
transcript.pyannote[3052].speaker SPEAKER_34
transcript.pyannote[3052].start 12460.59846875
transcript.pyannote[3052].end 12464.02409375
transcript.pyannote[3053].speaker SPEAKER_34
transcript.pyannote[3053].start 12464.05784375
transcript.pyannote[3053].end 12464.12534375
transcript.pyannote[3054].speaker SPEAKER_34
transcript.pyannote[3054].start 12464.41221875
transcript.pyannote[3054].end 12482.97471875
transcript.pyannote[3055].speaker SPEAKER_00
transcript.pyannote[3055].start 12466.26846875
transcript.pyannote[3055].end 12466.40346875
transcript.pyannote[3056].speaker SPEAKER_12
transcript.pyannote[3056].start 12490.93971875
transcript.pyannote[3056].end 12493.55534375
transcript.pyannote[3057].speaker SPEAKER_12
transcript.pyannote[3057].start 12494.85471875
transcript.pyannote[3057].end 12495.44534375
transcript.pyannote[3058].speaker SPEAKER_34
transcript.pyannote[3058].start 12496.08659375
transcript.pyannote[3058].end 12497.18346875
transcript.pyannote[3059].speaker SPEAKER_12
transcript.pyannote[3059].start 12500.64284375
transcript.pyannote[3059].end 12501.19971875
transcript.pyannote[3060].speaker SPEAKER_12
transcript.pyannote[3060].start 12501.31784375
transcript.pyannote[3060].end 12504.35534375
transcript.pyannote[3061].speaker SPEAKER_12
transcript.pyannote[3061].start 12505.08096875
transcript.pyannote[3061].end 12506.02596875
transcript.pyannote[3062].speaker SPEAKER_12
transcript.pyannote[3062].start 12506.12721875
transcript.pyannote[3062].end 12507.78096875
transcript.pyannote[3063].speaker SPEAKER_02
transcript.pyannote[3063].start 12508.32096875
transcript.pyannote[3063].end 12509.45159375
transcript.pyannote[3064].speaker SPEAKER_12
transcript.pyannote[3064].start 12509.73846875
transcript.pyannote[3064].end 12510.49784375
transcript.pyannote[3065].speaker SPEAKER_02
transcript.pyannote[3065].start 12510.49784375
transcript.pyannote[3065].end 12510.97034375
transcript.pyannote[3066].speaker SPEAKER_12
transcript.pyannote[3066].start 12511.86471875
transcript.pyannote[3066].end 12512.57346875
transcript.pyannote[3067].speaker SPEAKER_02
transcript.pyannote[3067].start 12512.65784375
transcript.pyannote[3067].end 12513.88971875
transcript.pyannote[3068].speaker SPEAKER_02
transcript.pyannote[3068].start 12514.19346875
transcript.pyannote[3068].end 12515.23971875
transcript.pyannote[3069].speaker SPEAKER_12
transcript.pyannote[3069].start 12514.26096875
transcript.pyannote[3069].end 12516.23534375
transcript.pyannote[3070].speaker SPEAKER_12
transcript.pyannote[3070].start 12517.02846875
transcript.pyannote[3070].end 12518.76659375
transcript.pyannote[3071].speaker SPEAKER_02
transcript.pyannote[3071].start 12517.77096875
transcript.pyannote[3071].end 12527.08596875
transcript.pyannote[3072].speaker SPEAKER_12
transcript.pyannote[3072].start 12520.55534375
transcript.pyannote[3072].end 12521.80409375
transcript.pyannote[3073].speaker SPEAKER_12
transcript.pyannote[3073].start 12526.42784375
transcript.pyannote[3073].end 12536.23221875
transcript.pyannote[3074].speaker SPEAKER_02
transcript.pyannote[3074].start 12528.82409375
transcript.pyannote[3074].end 12529.44846875
transcript.pyannote[3075].speaker SPEAKER_02
transcript.pyannote[3075].start 12532.89096875
transcript.pyannote[3075].end 12537.10971875
transcript.pyannote[3076].speaker SPEAKER_12
transcript.pyannote[3076].start 12537.10971875
transcript.pyannote[3076].end 12541.68284375
transcript.pyannote[3077].speaker SPEAKER_02
transcript.pyannote[3077].start 12537.14346875
transcript.pyannote[3077].end 12537.29534375
transcript.pyannote[3078].speaker SPEAKER_02
transcript.pyannote[3078].start 12540.82221875
transcript.pyannote[3078].end 12545.37846875
transcript.pyannote[3079].speaker SPEAKER_02
transcript.pyannote[3079].start 12545.58096875
transcript.pyannote[3079].end 12553.71471875
transcript.pyannote[3080].speaker SPEAKER_12
transcript.pyannote[3080].start 12553.57971875
transcript.pyannote[3080].end 12557.34284375
transcript.pyannote[3081].speaker SPEAKER_02
transcript.pyannote[3081].start 12553.91721875
transcript.pyannote[3081].end 12554.22096875
transcript.pyannote[3082].speaker SPEAKER_02
transcript.pyannote[3082].start 12554.77784375
transcript.pyannote[3082].end 12554.98034375
transcript.pyannote[3083].speaker SPEAKER_12
transcript.pyannote[3083].start 12557.96721875
transcript.pyannote[3083].end 12567.36659375
transcript.pyannote[3084].speaker SPEAKER_02
transcript.pyannote[3084].start 12562.59096875
transcript.pyannote[3084].end 12565.13909375
transcript.pyannote[3085].speaker SPEAKER_12
transcript.pyannote[3085].start 12568.39596875
transcript.pyannote[3085].end 12570.18471875
transcript.pyannote[3086].speaker SPEAKER_34
transcript.pyannote[3086].start 12568.42971875
transcript.pyannote[3086].end 12568.78409375
transcript.pyannote[3087].speaker SPEAKER_34
transcript.pyannote[3087].start 12570.30284375
transcript.pyannote[3087].end 12571.99034375
transcript.pyannote[3088].speaker SPEAKER_12
transcript.pyannote[3088].start 12575.46659375
transcript.pyannote[3088].end 12576.27659375
transcript.pyannote[3089].speaker SPEAKER_12
transcript.pyannote[3089].start 12576.74909375
transcript.pyannote[3089].end 12578.18346875
transcript.pyannote[3090].speaker SPEAKER_13
transcript.pyannote[3090].start 12578.18346875
transcript.pyannote[3090].end 12578.47034375
transcript.pyannote[3091].speaker SPEAKER_12
transcript.pyannote[3091].start 12578.92596875
transcript.pyannote[3091].end 12582.08159375
transcript.pyannote[3092].speaker SPEAKER_12
transcript.pyannote[3092].start 12582.45284375
transcript.pyannote[3092].end 12583.63409375
transcript.pyannote[3093].speaker SPEAKER_12
transcript.pyannote[3093].start 12584.10659375
transcript.pyannote[3093].end 12598.50096875
transcript.pyannote[3094].speaker SPEAKER_12
transcript.pyannote[3094].start 12598.61909375
transcript.pyannote[3094].end 12599.74971875
transcript.pyannote[3095].speaker SPEAKER_12
transcript.pyannote[3095].start 12600.39096875
transcript.pyannote[3095].end 12602.19659375
transcript.pyannote[3096].speaker SPEAKER_12
transcript.pyannote[3096].start 12602.66909375
transcript.pyannote[3096].end 12606.48284375
transcript.pyannote[3097].speaker SPEAKER_12
transcript.pyannote[3097].start 12607.02284375
transcript.pyannote[3097].end 12608.45721875
transcript.pyannote[3098].speaker SPEAKER_12
transcript.pyannote[3098].start 12608.96346875
transcript.pyannote[3098].end 12610.27971875
transcript.pyannote[3099].speaker SPEAKER_12
transcript.pyannote[3099].start 12610.85346875
transcript.pyannote[3099].end 12615.00471875
transcript.pyannote[3100].speaker SPEAKER_12
transcript.pyannote[3100].start 12615.78096875
transcript.pyannote[3100].end 12618.34596875
transcript.pyannote[3101].speaker SPEAKER_12
transcript.pyannote[3101].start 12618.68346875
transcript.pyannote[3101].end 12618.97034375
transcript.pyannote[3102].speaker SPEAKER_12
transcript.pyannote[3102].start 12619.47659375
transcript.pyannote[3102].end 12621.72096875
transcript.pyannote[3103].speaker SPEAKER_12
transcript.pyannote[3103].start 12622.17659375
transcript.pyannote[3103].end 12624.96096875
transcript.pyannote[3104].speaker SPEAKER_12
transcript.pyannote[3104].start 12625.28159375
transcript.pyannote[3104].end 12629.01096875
transcript.pyannote[3105].speaker SPEAKER_12
transcript.pyannote[3105].start 12629.83784375
transcript.pyannote[3105].end 12632.23409375
transcript.pyannote[3106].speaker SPEAKER_12
transcript.pyannote[3106].start 12632.68971875
transcript.pyannote[3106].end 12633.87096875
transcript.pyannote[3107].speaker SPEAKER_12
transcript.pyannote[3107].start 12634.20846875
transcript.pyannote[3107].end 12635.05221875
transcript.pyannote[3108].speaker SPEAKER_12
transcript.pyannote[3108].start 12635.69346875
transcript.pyannote[3108].end 12636.63846875
transcript.pyannote[3109].speaker SPEAKER_12
transcript.pyannote[3109].start 12637.29659375
transcript.pyannote[3109].end 12640.16534375
transcript.pyannote[3110].speaker SPEAKER_12
transcript.pyannote[3110].start 12640.97534375
transcript.pyannote[3110].end 12643.40534375
transcript.pyannote[3111].speaker SPEAKER_12
transcript.pyannote[3111].start 12644.06346875
transcript.pyannote[3111].end 12646.86471875
transcript.pyannote[3112].speaker SPEAKER_12
transcript.pyannote[3112].start 12647.15159375
transcript.pyannote[3112].end 12649.49721875
transcript.pyannote[3113].speaker SPEAKER_12
transcript.pyannote[3113].start 12649.95284375
transcript.pyannote[3113].end 12650.84721875
transcript.pyannote[3114].speaker SPEAKER_12
transcript.pyannote[3114].start 12651.74159375
transcript.pyannote[3114].end 12654.64409375
transcript.pyannote[3115].speaker SPEAKER_12
transcript.pyannote[3115].start 12655.87596875
transcript.pyannote[3115].end 12656.61846875
transcript.pyannote[3116].speaker SPEAKER_12
transcript.pyannote[3116].start 12657.54659375
transcript.pyannote[3116].end 12661.54596875
transcript.pyannote[3117].speaker SPEAKER_12
transcript.pyannote[3117].start 12662.11971875
transcript.pyannote[3117].end 12666.64221875
transcript.pyannote[3118].speaker SPEAKER_12
transcript.pyannote[3118].start 12667.57034375
transcript.pyannote[3118].end 12668.58284375
transcript.pyannote[3119].speaker SPEAKER_12
transcript.pyannote[3119].start 12669.47721875
transcript.pyannote[3119].end 12673.74659375
transcript.pyannote[3120].speaker SPEAKER_12
transcript.pyannote[3120].start 12674.23596875
transcript.pyannote[3120].end 12675.02909375
transcript.pyannote[3121].speaker SPEAKER_12
transcript.pyannote[3121].start 12675.61971875
transcript.pyannote[3121].end 12676.19346875
transcript.pyannote[3122].speaker SPEAKER_12
transcript.pyannote[3122].start 12676.71659375
transcript.pyannote[3122].end 12679.02846875
transcript.pyannote[3123].speaker SPEAKER_12
transcript.pyannote[3123].start 12679.45034375
transcript.pyannote[3123].end 12680.37846875
transcript.pyannote[3124].speaker SPEAKER_12
transcript.pyannote[3124].start 12681.30659375
transcript.pyannote[3124].end 12683.36534375
transcript.pyannote[3125].speaker SPEAKER_12
transcript.pyannote[3125].start 12683.93909375
transcript.pyannote[3125].end 12685.08659375
transcript.pyannote[3126].speaker SPEAKER_12
transcript.pyannote[3126].start 12685.20471875
transcript.pyannote[3126].end 12685.69409375
transcript.pyannote[3127].speaker SPEAKER_12
transcript.pyannote[3127].start 12690.30096875
transcript.pyannote[3127].end 12691.11096875
transcript.pyannote[3128].speaker SPEAKER_12
transcript.pyannote[3128].start 12691.71846875
transcript.pyannote[3128].end 12692.96721875
transcript.pyannote[3129].speaker SPEAKER_12
transcript.pyannote[3129].start 12693.77721875
transcript.pyannote[3129].end 12694.55346875
transcript.pyannote[3130].speaker SPEAKER_12
transcript.pyannote[3130].start 12695.90346875
transcript.pyannote[3130].end 12697.00034375
transcript.pyannote[3131].speaker SPEAKER_34
transcript.pyannote[3131].start 12699.51471875
transcript.pyannote[3131].end 12700.51034375
transcript.pyannote[3132].speaker SPEAKER_12
transcript.pyannote[3132].start 12704.15534375
transcript.pyannote[3132].end 12704.56034375
transcript.pyannote[3133].speaker SPEAKER_12
transcript.pyannote[3133].start 12705.25221875
transcript.pyannote[3133].end 12708.66096875
transcript.pyannote[3134].speaker SPEAKER_12
transcript.pyannote[3134].start 12709.06596875
transcript.pyannote[3134].end 12711.31034375
transcript.pyannote[3135].speaker SPEAKER_12
transcript.pyannote[3135].start 12711.39471875
transcript.pyannote[3135].end 12713.55471875
transcript.pyannote[3136].speaker SPEAKER_12
transcript.pyannote[3136].start 12714.11159375
transcript.pyannote[3136].end 12715.36034375
transcript.pyannote[3137].speaker SPEAKER_12
transcript.pyannote[3137].start 12715.84971875
transcript.pyannote[3137].end 12716.86221875
transcript.pyannote[3138].speaker SPEAKER_12
transcript.pyannote[3138].start 12717.67221875
transcript.pyannote[3138].end 12720.81096875
transcript.pyannote[3139].speaker SPEAKER_12
transcript.pyannote[3139].start 12721.73909375
transcript.pyannote[3139].end 12723.07221875
transcript.pyannote[3140].speaker SPEAKER_12
transcript.pyannote[3140].start 12723.35909375
transcript.pyannote[3140].end 12726.41346875
transcript.pyannote[3141].speaker SPEAKER_12
transcript.pyannote[3141].start 12726.46409375
transcript.pyannote[3141].end 12727.59471875
transcript.pyannote[3142].speaker SPEAKER_12
transcript.pyannote[3142].start 12728.16846875
transcript.pyannote[3142].end 12730.68284375
transcript.pyannote[3143].speaker SPEAKER_12
transcript.pyannote[3143].start 12731.57721875
transcript.pyannote[3143].end 12734.14221875
transcript.pyannote[3144].speaker SPEAKER_12
transcript.pyannote[3144].start 12734.69909375
transcript.pyannote[3144].end 12735.59346875
transcript.pyannote[3145].speaker SPEAKER_12
transcript.pyannote[3145].start 12736.75784375
transcript.pyannote[3145].end 12737.95596875
transcript.pyannote[3146].speaker SPEAKER_12
transcript.pyannote[3146].start 12738.41159375
transcript.pyannote[3146].end 12740.94284375
transcript.pyannote[3147].speaker SPEAKER_12
transcript.pyannote[3147].start 12741.41534375
transcript.pyannote[3147].end 12743.44034375
transcript.pyannote[3148].speaker SPEAKER_12
transcript.pyannote[3148].start 12744.52034375
transcript.pyannote[3148].end 12745.97159375
transcript.pyannote[3149].speaker SPEAKER_12
transcript.pyannote[3149].start 12745.98846875
transcript.pyannote[3149].end 12748.01346875
transcript.pyannote[3150].speaker SPEAKER_25
transcript.pyannote[3150].start 12751.57409375
transcript.pyannote[3150].end 12752.02971875
transcript.pyannote[3151].speaker SPEAKER_25
transcript.pyannote[3151].start 12752.65409375
transcript.pyannote[3151].end 12756.07971875
transcript.pyannote[3152].speaker SPEAKER_25
transcript.pyannote[3152].start 12756.28221875
transcript.pyannote[3152].end 12757.71659375
transcript.pyannote[3153].speaker SPEAKER_12
transcript.pyannote[3153].start 12759.75846875
transcript.pyannote[3153].end 12762.30659375
transcript.pyannote[3154].speaker SPEAKER_12
transcript.pyannote[3154].start 12763.38659375
transcript.pyannote[3154].end 12764.17971875
transcript.pyannote[3155].speaker SPEAKER_12
transcript.pyannote[3155].start 12764.83784375
transcript.pyannote[3155].end 12767.09909375
transcript.pyannote[3156].speaker SPEAKER_12
transcript.pyannote[3156].start 12767.77409375
transcript.pyannote[3156].end 12769.00596875
transcript.pyannote[3157].speaker SPEAKER_12
transcript.pyannote[3157].start 12770.27159375
transcript.pyannote[3157].end 12771.72284375
transcript.pyannote[3158].speaker SPEAKER_12
transcript.pyannote[3158].start 12771.82409375
transcript.pyannote[3158].end 12772.21221875
transcript.pyannote[3159].speaker SPEAKER_25
transcript.pyannote[3159].start 12774.89534375
transcript.pyannote[3159].end 12777.07221875
transcript.pyannote[3160].speaker SPEAKER_25
transcript.pyannote[3160].start 12777.71346875
transcript.pyannote[3160].end 12779.45159375
transcript.pyannote[3161].speaker SPEAKER_25
transcript.pyannote[3161].start 12780.32909375
transcript.pyannote[3161].end 12786.21846875
transcript.pyannote[3162].speaker SPEAKER_25
transcript.pyannote[3162].start 12786.47159375
transcript.pyannote[3162].end 12792.58034375
transcript.pyannote[3163].speaker SPEAKER_25
transcript.pyannote[3163].start 12792.98534375
transcript.pyannote[3163].end 12794.70659375
transcript.pyannote[3164].speaker SPEAKER_25
transcript.pyannote[3164].start 12795.29721875
transcript.pyannote[3164].end 12795.31409375
transcript.pyannote[3165].speaker SPEAKER_12
transcript.pyannote[3165].start 12795.31409375
transcript.pyannote[3165].end 12797.47409375
transcript.pyannote[3166].speaker SPEAKER_25
transcript.pyannote[3166].start 12795.34784375
transcript.pyannote[3166].end 12797.54159375
transcript.pyannote[3167].speaker SPEAKER_12
transcript.pyannote[3167].start 12797.54159375
transcript.pyannote[3167].end 12800.19096875
transcript.pyannote[3168].speaker SPEAKER_12
transcript.pyannote[3168].start 12801.08534375
transcript.pyannote[3168].end 12801.89534375
transcript.pyannote[3169].speaker SPEAKER_12
transcript.pyannote[3169].start 12804.40971875
transcript.pyannote[3169].end 12805.55721875
transcript.pyannote[3170].speaker SPEAKER_33
transcript.pyannote[3170].start 12805.74284375
transcript.pyannote[3170].end 12813.53909375
transcript.pyannote[3171].speaker SPEAKER_12
transcript.pyannote[3171].start 12814.36596875
transcript.pyannote[3171].end 12814.83846875
transcript.pyannote[3172].speaker SPEAKER_12
transcript.pyannote[3172].start 12815.42909375
transcript.pyannote[3172].end 12816.40784375
transcript.pyannote[3173].speaker SPEAKER_12
transcript.pyannote[3173].start 12817.13346875
transcript.pyannote[3173].end 12817.15034375
transcript.pyannote[3174].speaker SPEAKER_33
transcript.pyannote[3174].start 12817.15034375
transcript.pyannote[3174].end 12819.05721875
transcript.pyannote[3175].speaker SPEAKER_12
transcript.pyannote[3175].start 12817.16721875
transcript.pyannote[3175].end 12817.67346875
transcript.pyannote[3176].speaker SPEAKER_12
transcript.pyannote[3176].start 12818.34846875
transcript.pyannote[3176].end 12820.60971875
transcript.pyannote[3177].speaker SPEAKER_12
transcript.pyannote[3177].start 12821.14971875
transcript.pyannote[3177].end 12822.04409375
transcript.pyannote[3178].speaker SPEAKER_12
transcript.pyannote[3178].start 12823.51221875
transcript.pyannote[3178].end 12824.74409375
transcript.pyannote[3179].speaker SPEAKER_12
transcript.pyannote[3179].start 12825.11534375
transcript.pyannote[3179].end 12826.22909375
transcript.pyannote[3180].speaker SPEAKER_12
transcript.pyannote[3180].start 12826.78596875
transcript.pyannote[3180].end 12827.68034375
transcript.pyannote[3181].speaker SPEAKER_12
transcript.pyannote[3181].start 12829.04721875
transcript.pyannote[3181].end 12830.36346875
transcript.pyannote[3182].speaker SPEAKER_29
transcript.pyannote[3182].start 12830.68409375
transcript.pyannote[3182].end 12830.86971875
transcript.pyannote[3183].speaker SPEAKER_12
transcript.pyannote[3183].start 12831.76409375
transcript.pyannote[3183].end 12833.95784375
transcript.pyannote[3184].speaker SPEAKER_12
transcript.pyannote[3184].start 12835.39221875
transcript.pyannote[3184].end 12837.68721875
transcript.pyannote[3185].speaker SPEAKER_25
transcript.pyannote[3185].start 12837.28221875
transcript.pyannote[3185].end 12844.55534375
transcript.pyannote[3186].speaker SPEAKER_12
transcript.pyannote[3186].start 12846.52971875
transcript.pyannote[3186].end 12848.57159375
transcript.pyannote[3187].speaker SPEAKER_25
transcript.pyannote[3187].start 12848.92596875
transcript.pyannote[3187].end 12851.81159375
transcript.pyannote[3188].speaker SPEAKER_12
transcript.pyannote[3188].start 12849.68534375
transcript.pyannote[3188].end 12855.54096875
transcript.pyannote[3189].speaker SPEAKER_25
transcript.pyannote[3189].start 12860.78909375
transcript.pyannote[3189].end 12867.97784375
transcript.pyannote[3190].speaker SPEAKER_01
transcript.pyannote[3190].start 12865.76721875
transcript.pyannote[3190].end 12866.15534375
transcript.pyannote[3191].speaker SPEAKER_01
transcript.pyannote[3191].start 12867.52221875
transcript.pyannote[3191].end 12867.96096875
transcript.pyannote[3192].speaker SPEAKER_01
transcript.pyannote[3192].start 12867.97784375
transcript.pyannote[3192].end 12868.01159375
transcript.pyannote[3193].speaker SPEAKER_25
transcript.pyannote[3193].start 12868.01159375
transcript.pyannote[3193].end 12868.11284375
transcript.pyannote[3194].speaker SPEAKER_12
transcript.pyannote[3194].start 12868.11284375
transcript.pyannote[3194].end 12870.74534375
transcript.pyannote[3195].speaker SPEAKER_25
transcript.pyannote[3195].start 12868.14659375
transcript.pyannote[3195].end 12868.18034375
transcript.pyannote[3196].speaker SPEAKER_25
transcript.pyannote[3196].start 12868.21409375
transcript.pyannote[3196].end 12868.23096875
transcript.pyannote[3197].speaker SPEAKER_01
transcript.pyannote[3197].start 12869.22659375
transcript.pyannote[3197].end 12876.71909375
transcript.pyannote[3198].speaker SPEAKER_12
transcript.pyannote[3198].start 12877.37721875
transcript.pyannote[3198].end 12877.83284375
transcript.pyannote[3199].speaker SPEAKER_01
transcript.pyannote[3199].start 12878.22096875
transcript.pyannote[3199].end 12879.99284375
transcript.pyannote[3200].speaker SPEAKER_12
transcript.pyannote[3200].start 12880.53284375
transcript.pyannote[3200].end 12883.70534375
transcript.pyannote[3201].speaker SPEAKER_01
transcript.pyannote[3201].start 12882.54096875
transcript.pyannote[3201].end 12888.12659375
transcript.pyannote[3202].speaker SPEAKER_12
transcript.pyannote[3202].start 12887.08034375
transcript.pyannote[3202].end 12889.52721875
transcript.pyannote[3203].speaker SPEAKER_12
transcript.pyannote[3203].start 12890.25284375
transcript.pyannote[3203].end 12894.72471875
transcript.pyannote[3204].speaker SPEAKER_12
transcript.pyannote[3204].start 12895.80471875
transcript.pyannote[3204].end 12898.43721875
transcript.pyannote[3205].speaker SPEAKER_12
transcript.pyannote[3205].start 12899.61846875
transcript.pyannote[3205].end 12901.67721875
transcript.pyannote[3206].speaker SPEAKER_12
transcript.pyannote[3206].start 12902.72346875
transcript.pyannote[3206].end 12906.46971875
transcript.pyannote[3207].speaker SPEAKER_12
transcript.pyannote[3207].start 12907.58346875
transcript.pyannote[3207].end 12909.01784375
transcript.pyannote[3208].speaker SPEAKER_12
transcript.pyannote[3208].start 12909.23721875
transcript.pyannote[3208].end 12910.99221875
transcript.pyannote[3209].speaker SPEAKER_12
transcript.pyannote[3209].start 12911.44784375
transcript.pyannote[3209].end 12913.65846875
transcript.pyannote[3210].speaker SPEAKER_12
transcript.pyannote[3210].start 12913.96221875
transcript.pyannote[3210].end 12914.99159375
transcript.pyannote[3211].speaker SPEAKER_12
transcript.pyannote[3211].start 12915.90284375
transcript.pyannote[3211].end 12917.16846875
transcript.pyannote[3212].speaker SPEAKER_12
transcript.pyannote[3212].start 12917.52284375
transcript.pyannote[3212].end 12918.88971875
transcript.pyannote[3213].speaker SPEAKER_12
transcript.pyannote[3213].start 12919.56471875
transcript.pyannote[3213].end 12920.54346875
transcript.pyannote[3214].speaker SPEAKER_12
transcript.pyannote[3214].start 12921.40409375
transcript.pyannote[3214].end 12928.66034375
transcript.pyannote[3215].speaker SPEAKER_29
transcript.pyannote[3215].start 12921.47159375
transcript.pyannote[3215].end 12922.31534375
transcript.pyannote[3216].speaker SPEAKER_18
transcript.pyannote[3216].start 12925.97721875
transcript.pyannote[3216].end 12938.34659375
transcript.pyannote[3217].speaker SPEAKER_12
transcript.pyannote[3217].start 12936.50721875
transcript.pyannote[3217].end 12936.52409375
transcript.pyannote[3218].speaker SPEAKER_29
transcript.pyannote[3218].start 12936.52409375
transcript.pyannote[3218].end 12936.54096875
transcript.pyannote[3219].speaker SPEAKER_12
transcript.pyannote[3219].start 12936.54096875
transcript.pyannote[3219].end 12937.78971875
transcript.pyannote[3220].speaker SPEAKER_12
transcript.pyannote[3220].start 12937.92471875
transcript.pyannote[3220].end 12937.94159375
transcript.pyannote[3221].speaker SPEAKER_12
transcript.pyannote[3221].start 12937.99221875
transcript.pyannote[3221].end 12938.07659375
transcript.pyannote[3222].speaker SPEAKER_18
transcript.pyannote[3222].start 12938.71784375
transcript.pyannote[3222].end 12943.51034375
transcript.pyannote[3223].speaker SPEAKER_12
transcript.pyannote[3223].start 12938.73471875
transcript.pyannote[3223].end 12939.39284375
transcript.pyannote[3224].speaker SPEAKER_12
transcript.pyannote[3224].start 12939.91596875
transcript.pyannote[3224].end 12941.13096875
transcript.pyannote[3225].speaker SPEAKER_12
transcript.pyannote[3225].start 12942.88596875
transcript.pyannote[3225].end 12945.80534375
transcript.pyannote[3226].speaker SPEAKER_18
transcript.pyannote[3226].start 12947.52659375
transcript.pyannote[3226].end 12951.30659375
transcript.pyannote[3227].speaker SPEAKER_12
transcript.pyannote[3227].start 12948.91034375
transcript.pyannote[3227].end 12950.58096875
transcript.pyannote[3228].speaker SPEAKER_12
transcript.pyannote[3228].start 12950.86784375
transcript.pyannote[3228].end 12952.09971875
transcript.pyannote[3229].speaker SPEAKER_18
transcript.pyannote[3229].start 12951.91409375
transcript.pyannote[3229].end 12954.90096875
transcript.pyannote[3230].speaker SPEAKER_12
transcript.pyannote[3230].start 12954.22596875
transcript.pyannote[3230].end 12957.97221875
transcript.pyannote[3231].speaker SPEAKER_18
transcript.pyannote[3231].start 12955.01909375
transcript.pyannote[3231].end 12964.24971875
transcript.pyannote[3232].speaker SPEAKER_12
transcript.pyannote[3232].start 12961.19534375
transcript.pyannote[3232].end 12963.06846875
transcript.pyannote[3233].speaker SPEAKER_12
transcript.pyannote[3233].start 12963.77721875
transcript.pyannote[3233].end 12965.05971875
transcript.pyannote[3234].speaker SPEAKER_12
transcript.pyannote[3234].start 12967.08471875
transcript.pyannote[3234].end 12968.02971875
transcript.pyannote[3235].speaker SPEAKER_12
transcript.pyannote[3235].start 12968.21534375
transcript.pyannote[3235].end 12970.42596875
transcript.pyannote[3236].speaker SPEAKER_12
transcript.pyannote[3236].start 12971.18534375
transcript.pyannote[3236].end 12972.36659375
transcript.pyannote[3237].speaker SPEAKER_18
transcript.pyannote[3237].start 12972.46784375
transcript.pyannote[3237].end 12972.97409375
transcript.pyannote[3238].speaker SPEAKER_12
transcript.pyannote[3238].start 12972.97409375
transcript.pyannote[3238].end 12973.02471875
transcript.pyannote[3239].speaker SPEAKER_18
transcript.pyannote[3239].start 12973.02471875
transcript.pyannote[3239].end 12973.32846875
transcript.pyannote[3240].speaker SPEAKER_12
transcript.pyannote[3240].start 12973.32846875
transcript.pyannote[3240].end 12977.98596875
transcript.pyannote[3241].speaker SPEAKER_18
transcript.pyannote[3241].start 12975.64034375
transcript.pyannote[3241].end 12978.91409375
transcript.pyannote[3242].speaker SPEAKER_12
transcript.pyannote[3242].start 12978.64409375
transcript.pyannote[3242].end 12979.84221875
transcript.pyannote[3243].speaker SPEAKER_18
transcript.pyannote[3243].start 12978.93096875
transcript.pyannote[3243].end 12978.96471875
transcript.pyannote[3244].speaker SPEAKER_18
transcript.pyannote[3244].start 12979.84221875
transcript.pyannote[3244].end 12980.80409375
transcript.pyannote[3245].speaker SPEAKER_12
transcript.pyannote[3245].start 12980.80409375
transcript.pyannote[3245].end 12980.87159375
transcript.pyannote[3246].speaker SPEAKER_12
transcript.pyannote[3246].start 12980.90534375
transcript.pyannote[3246].end 12983.08221875
transcript.pyannote[3247].speaker SPEAKER_18
transcript.pyannote[3247].start 12983.82471875
transcript.pyannote[3247].end 12997.74659375
transcript.pyannote[3248].speaker SPEAKER_12
transcript.pyannote[3248].start 12987.03096875
transcript.pyannote[3248].end 12987.58784375
transcript.pyannote[3249].speaker SPEAKER_18
transcript.pyannote[3249].start 12998.50596875
transcript.pyannote[3249].end 13005.67784375
transcript.pyannote[3250].speaker SPEAKER_12
transcript.pyannote[3250].start 13001.59409375
transcript.pyannote[3250].end 13002.03284375
transcript.pyannote[3251].speaker SPEAKER_00
transcript.pyannote[3251].start 13002.03284375
transcript.pyannote[3251].end 13003.55159375
transcript.pyannote[3252].speaker SPEAKER_00
transcript.pyannote[3252].start 13004.95221875
transcript.pyannote[3252].end 13006.06596875
transcript.pyannote[3253].speaker SPEAKER_00
transcript.pyannote[3253].start 13007.29784375
transcript.pyannote[3253].end 13016.68034375
transcript.pyannote[3254].speaker SPEAKER_12
transcript.pyannote[3254].start 13016.49471875
transcript.pyannote[3254].end 13017.99659375
transcript.pyannote[3255].speaker SPEAKER_12
transcript.pyannote[3255].start 13019.59971875
transcript.pyannote[3255].end 13021.15221875
transcript.pyannote[3256].speaker SPEAKER_12
transcript.pyannote[3256].start 13021.89471875
transcript.pyannote[3256].end 13024.03784375
transcript.pyannote[3257].speaker SPEAKER_12
transcript.pyannote[3257].start 13024.22346875
transcript.pyannote[3257].end 13025.89409375
transcript.pyannote[3258].speaker SPEAKER_12
transcript.pyannote[3258].start 13027.17659375
transcript.pyannote[3258].end 13028.49284375
transcript.pyannote[3259].speaker SPEAKER_12
transcript.pyannote[3259].start 13029.18471875
transcript.pyannote[3259].end 13031.27721875
transcript.pyannote[3260].speaker SPEAKER_12
transcript.pyannote[3260].start 13031.80034375
transcript.pyannote[3260].end 13033.92659375
transcript.pyannote[3261].speaker SPEAKER_12
transcript.pyannote[3261].start 13034.14596875
transcript.pyannote[3261].end 13037.16659375
transcript.pyannote[3262].speaker SPEAKER_00
transcript.pyannote[3262].start 13034.17971875
transcript.pyannote[3262].end 13037.09909375
transcript.pyannote[3263].speaker SPEAKER_00
transcript.pyannote[3263].start 13037.16659375
transcript.pyannote[3263].end 13037.65596875
transcript.pyannote[3264].speaker SPEAKER_12
transcript.pyannote[3264].start 13037.65596875
transcript.pyannote[3264].end 13042.06034375
transcript.pyannote[3265].speaker SPEAKER_12
transcript.pyannote[3265].start 13042.75221875
transcript.pyannote[3265].end 13043.89971875
transcript.pyannote[3266].speaker SPEAKER_12
transcript.pyannote[3266].start 13044.54096875
transcript.pyannote[3266].end 13046.75159375
transcript.pyannote[3267].speaker SPEAKER_12
transcript.pyannote[3267].start 13047.35909375
transcript.pyannote[3267].end 13049.43471875
transcript.pyannote[3268].speaker SPEAKER_12
transcript.pyannote[3268].start 13049.63721875
transcript.pyannote[3268].end 13054.12596875
transcript.pyannote[3269].speaker SPEAKER_18
transcript.pyannote[3269].start 13050.31221875
transcript.pyannote[3269].end 13050.39659375
transcript.pyannote[3270].speaker SPEAKER_00
transcript.pyannote[3270].start 13050.39659375
transcript.pyannote[3270].end 13051.34159375
transcript.pyannote[3271].speaker SPEAKER_00
transcript.pyannote[3271].start 13053.21471875
transcript.pyannote[3271].end 13053.28221875
transcript.pyannote[3272].speaker SPEAKER_18
transcript.pyannote[3272].start 13053.56909375
transcript.pyannote[3272].end 13057.72034375
transcript.pyannote[3273].speaker SPEAKER_12
transcript.pyannote[3273].start 13056.45471875
transcript.pyannote[3273].end 13058.91846875
transcript.pyannote[3274].speaker SPEAKER_12
transcript.pyannote[3274].start 13058.98596875
transcript.pyannote[3274].end 13061.51721875
transcript.pyannote[3275].speaker SPEAKER_18
transcript.pyannote[3275].start 13060.11659375
transcript.pyannote[3275].end 13064.80784375
transcript.pyannote[3276].speaker SPEAKER_12
transcript.pyannote[3276].start 13062.52971875
transcript.pyannote[3276].end 13068.55409375
transcript.pyannote[3277].speaker SPEAKER_18
transcript.pyannote[3277].start 13068.14909375
transcript.pyannote[3277].end 13072.13159375
transcript.pyannote[3278].speaker SPEAKER_12
transcript.pyannote[3278].start 13070.20784375
transcript.pyannote[3278].end 13072.16534375
transcript.pyannote[3279].speaker SPEAKER_18
transcript.pyannote[3279].start 13072.16534375
transcript.pyannote[3279].end 13072.19909375
transcript.pyannote[3280].speaker SPEAKER_18
transcript.pyannote[3280].start 13072.48596875
transcript.pyannote[3280].end 13084.48409375
transcript.pyannote[3281].speaker SPEAKER_12
transcript.pyannote[3281].start 13076.36721875
transcript.pyannote[3281].end 13079.97846875
transcript.pyannote[3282].speaker SPEAKER_12
transcript.pyannote[3282].start 13081.85159375
transcript.pyannote[3282].end 13085.88471875
transcript.pyannote[3283].speaker SPEAKER_18
transcript.pyannote[3283].start 13084.77096875
transcript.pyannote[3283].end 13085.14221875
transcript.pyannote[3284].speaker SPEAKER_12
transcript.pyannote[3284].start 13086.89721875
transcript.pyannote[3284].end 13088.04471875
transcript.pyannote[3285].speaker SPEAKER_18
transcript.pyannote[3285].start 13087.08284375
transcript.pyannote[3285].end 13087.72409375
transcript.pyannote[3286].speaker SPEAKER_18
transcript.pyannote[3286].start 13088.70284375
transcript.pyannote[3286].end 13107.28221875
transcript.pyannote[3287].speaker SPEAKER_12
transcript.pyannote[3287].start 13102.40534375
transcript.pyannote[3287].end 13103.90721875
transcript.pyannote[3288].speaker SPEAKER_12
transcript.pyannote[3288].start 13103.92409375
transcript.pyannote[3288].end 13109.34096875
transcript.pyannote[3289].speaker SPEAKER_18
transcript.pyannote[3289].start 13107.90659375
transcript.pyannote[3289].end 13110.85971875
transcript.pyannote[3290].speaker SPEAKER_12
transcript.pyannote[3290].start 13110.26909375
transcript.pyannote[3290].end 13114.11659375
transcript.pyannote[3291].speaker SPEAKER_12
transcript.pyannote[3291].start 13115.55096875
transcript.pyannote[3291].end 13116.47909375
transcript.pyannote[3292].speaker SPEAKER_18
transcript.pyannote[3292].start 13116.46221875
transcript.pyannote[3292].end 13124.57909375
transcript.pyannote[3293].speaker SPEAKER_12
transcript.pyannote[3293].start 13117.79534375
transcript.pyannote[3293].end 13119.09471875
transcript.pyannote[3294].speaker SPEAKER_12
transcript.pyannote[3294].start 13119.87096875
transcript.pyannote[3294].end 13121.00159375
transcript.pyannote[3295].speaker SPEAKER_12
transcript.pyannote[3295].start 13121.79471875
transcript.pyannote[3295].end 13123.76909375
transcript.pyannote[3296].speaker SPEAKER_12
transcript.pyannote[3296].start 13124.25846875
transcript.pyannote[3296].end 13125.52409375
transcript.pyannote[3297].speaker SPEAKER_12
transcript.pyannote[3297].start 13126.03034375
transcript.pyannote[3297].end 13128.52784375
transcript.pyannote[3298].speaker SPEAKER_18
transcript.pyannote[3298].start 13126.04721875
transcript.pyannote[3298].end 13128.40971875
transcript.pyannote[3299].speaker SPEAKER_18
transcript.pyannote[3299].start 13128.64596875
transcript.pyannote[3299].end 13136.32409375
transcript.pyannote[3300].speaker SPEAKER_12
transcript.pyannote[3300].start 13129.64159375
transcript.pyannote[3300].end 13131.44721875
transcript.pyannote[3301].speaker SPEAKER_12
transcript.pyannote[3301].start 13133.10096875
transcript.pyannote[3301].end 13136.29034375
transcript.pyannote[3302].speaker SPEAKER_18
transcript.pyannote[3302].start 13136.56034375
transcript.pyannote[3302].end 13155.25784375
transcript.pyannote[3303].speaker SPEAKER_12
transcript.pyannote[3303].start 13139.39534375
transcript.pyannote[3303].end 13140.30659375
transcript.pyannote[3304].speaker SPEAKER_12
transcript.pyannote[3304].start 13143.15846875
transcript.pyannote[3304].end 13146.82034375
transcript.pyannote[3305].speaker SPEAKER_12
transcript.pyannote[3305].start 13149.65534375
transcript.pyannote[3305].end 13152.43971875
transcript.pyannote[3306].speaker SPEAKER_12
transcript.pyannote[3306].start 13156.91159375
transcript.pyannote[3306].end 13158.00846875
transcript.pyannote[3307].speaker SPEAKER_12
transcript.pyannote[3307].start 13158.51471875
transcript.pyannote[3307].end 13159.10534375
transcript.pyannote[3308].speaker SPEAKER_18
transcript.pyannote[3308].start 13159.13909375
transcript.pyannote[3308].end 13160.72534375
transcript.pyannote[3309].speaker SPEAKER_18
transcript.pyannote[3309].start 13161.18096875
transcript.pyannote[3309].end 13161.58596875
transcript.pyannote[3310].speaker SPEAKER_12
transcript.pyannote[3310].start 13161.67034375
transcript.pyannote[3310].end 13162.93596875
transcript.pyannote[3311].speaker SPEAKER_12
transcript.pyannote[3311].start 13163.42534375
transcript.pyannote[3311].end 13165.01159375
transcript.pyannote[3312].speaker SPEAKER_18
transcript.pyannote[3312].start 13164.57284375
transcript.pyannote[3312].end 13167.54284375
transcript.pyannote[3313].speaker SPEAKER_12
transcript.pyannote[3313].start 13166.20971875
transcript.pyannote[3313].end 13166.63159375
transcript.pyannote[3314].speaker SPEAKER_12
transcript.pyannote[3314].start 13167.42471875
transcript.pyannote[3314].end 13171.27221875
transcript.pyannote[3315].speaker SPEAKER_18
transcript.pyannote[3315].start 13168.20096875
transcript.pyannote[3315].end 13169.46659375
transcript.pyannote[3316].speaker SPEAKER_12
transcript.pyannote[3316].start 13171.57596875
transcript.pyannote[3316].end 13175.03534375
transcript.pyannote[3317].speaker SPEAKER_18
transcript.pyannote[3317].start 13171.66034375
transcript.pyannote[3317].end 13172.01471875
transcript.pyannote[3318].speaker SPEAKER_18
transcript.pyannote[3318].start 13174.29284375
transcript.pyannote[3318].end 13174.76534375
transcript.pyannote[3319].speaker SPEAKER_18
transcript.pyannote[3319].start 13175.72721875
transcript.pyannote[3319].end 13176.08159375
transcript.pyannote[3320].speaker SPEAKER_12
transcript.pyannote[3320].start 13176.08159375
transcript.pyannote[3320].end 13176.18284375
transcript.pyannote[3321].speaker SPEAKER_18
transcript.pyannote[3321].start 13176.18284375
transcript.pyannote[3321].end 13176.19971875
transcript.pyannote[3322].speaker SPEAKER_12
transcript.pyannote[3322].start 13176.19971875
transcript.pyannote[3322].end 13179.00096875
transcript.pyannote[3323].speaker SPEAKER_18
transcript.pyannote[3323].start 13176.21659375
transcript.pyannote[3323].end 13194.54284375
transcript.pyannote[3324].speaker SPEAKER_12
transcript.pyannote[3324].start 13187.48909375
transcript.pyannote[3324].end 13190.40846875
transcript.pyannote[3325].speaker SPEAKER_12
transcript.pyannote[3325].start 13191.43784375
transcript.pyannote[3325].end 13196.17971875
transcript.pyannote[3326].speaker SPEAKER_12
transcript.pyannote[3326].start 13196.31471875
transcript.pyannote[3326].end 13198.45784375
transcript.pyannote[3327].speaker SPEAKER_18
transcript.pyannote[3327].start 13197.52971875
transcript.pyannote[3327].end 13201.84971875
transcript.pyannote[3328].speaker SPEAKER_12
transcript.pyannote[3328].start 13201.14096875
transcript.pyannote[3328].end 13206.89534375
transcript.pyannote[3329].speaker SPEAKER_18
transcript.pyannote[3329].start 13206.33846875
transcript.pyannote[3329].end 13214.33721875
transcript.pyannote[3330].speaker SPEAKER_12
transcript.pyannote[3330].start 13207.92471875
transcript.pyannote[3330].end 13212.56534375
transcript.pyannote[3331].speaker SPEAKER_12
transcript.pyannote[3331].start 13214.05034375
transcript.pyannote[3331].end 13216.76721875
transcript.pyannote[3332].speaker SPEAKER_12
transcript.pyannote[3332].start 13217.08784375
transcript.pyannote[3332].end 13219.36596875
transcript.pyannote[3333].speaker SPEAKER_12
transcript.pyannote[3333].start 13220.10846875
transcript.pyannote[3333].end 13223.04471875
transcript.pyannote[3334].speaker SPEAKER_12
transcript.pyannote[3334].start 13224.05721875
transcript.pyannote[3334].end 13225.71096875
transcript.pyannote[3335].speaker SPEAKER_18
transcript.pyannote[3335].start 13225.06971875
transcript.pyannote[3335].end 13243.02471875
transcript.pyannote[3336].speaker SPEAKER_12
transcript.pyannote[3336].start 13229.23784375
transcript.pyannote[3336].end 13231.68471875
transcript.pyannote[3337].speaker SPEAKER_12
transcript.pyannote[3337].start 13232.49471875
transcript.pyannote[3337].end 13233.55784375
transcript.pyannote[3338].speaker SPEAKER_12
transcript.pyannote[3338].start 13238.46846875
transcript.pyannote[3338].end 13239.80159375
transcript.pyannote[3339].speaker SPEAKER_12
transcript.pyannote[3339].start 13242.14721875
transcript.pyannote[3339].end 13244.23971875
transcript.pyannote[3340].speaker SPEAKER_12
transcript.pyannote[3340].start 13246.14659375
transcript.pyannote[3340].end 13247.73284375
transcript.pyannote[3341].speaker SPEAKER_33
transcript.pyannote[3341].start 13247.47971875
transcript.pyannote[3341].end 13247.66534375
transcript.pyannote[3342].speaker SPEAKER_33
transcript.pyannote[3342].start 13247.73284375
transcript.pyannote[3342].end 13248.50909375
transcript.pyannote[3343].speaker SPEAKER_12
transcript.pyannote[3343].start 13249.52159375
transcript.pyannote[3343].end 13251.14159375
transcript.pyannote[3344].speaker SPEAKER_12
transcript.pyannote[3344].start 13251.71534375
transcript.pyannote[3344].end 13253.45346875
transcript.pyannote[3345].speaker SPEAKER_12
transcript.pyannote[3345].start 13253.74034375
transcript.pyannote[3345].end 13254.33096875
transcript.pyannote[3346].speaker SPEAKER_12
transcript.pyannote[3346].start 13256.08596875
transcript.pyannote[3346].end 13257.89159375
transcript.pyannote[3347].speaker SPEAKER_12
transcript.pyannote[3347].start 13258.51596875
transcript.pyannote[3347].end 13259.25846875
transcript.pyannote[3348].speaker SPEAKER_12
transcript.pyannote[3348].start 13260.25409375
transcript.pyannote[3348].end 13263.00471875
transcript.pyannote[3349].speaker SPEAKER_29
transcript.pyannote[3349].start 13263.00471875
transcript.pyannote[3349].end 13263.29159375
transcript.pyannote[3350].speaker SPEAKER_12
transcript.pyannote[3350].start 13263.54471875
transcript.pyannote[3350].end 13265.14784375
transcript.pyannote[3351].speaker SPEAKER_12
transcript.pyannote[3351].start 13265.60346875
transcript.pyannote[3351].end 13268.77596875
transcript.pyannote[3352].speaker SPEAKER_18
transcript.pyannote[3352].start 13267.67909375
transcript.pyannote[3352].end 13268.03346875
transcript.pyannote[3353].speaker SPEAKER_18
transcript.pyannote[3353].start 13269.87284375
transcript.pyannote[3353].end 13270.26096875
transcript.pyannote[3354].speaker SPEAKER_12
transcript.pyannote[3354].start 13270.26096875
transcript.pyannote[3354].end 13271.07096875
transcript.pyannote[3355].speaker SPEAKER_18
transcript.pyannote[3355].start 13271.56034375
transcript.pyannote[3355].end 13277.51721875
transcript.pyannote[3356].speaker SPEAKER_12
transcript.pyannote[3356].start 13276.96034375
transcript.pyannote[3356].end 13277.53409375
transcript.pyannote[3357].speaker SPEAKER_18
transcript.pyannote[3357].start 13277.75346875
transcript.pyannote[3357].end 13279.12034375
transcript.pyannote[3358].speaker SPEAKER_12
transcript.pyannote[3358].start 13279.23846875
transcript.pyannote[3358].end 13280.18346875
transcript.pyannote[3359].speaker SPEAKER_18
transcript.pyannote[3359].start 13280.62221875
transcript.pyannote[3359].end 13290.29159375
transcript.pyannote[3360].speaker SPEAKER_12
transcript.pyannote[3360].start 13281.31409375
transcript.pyannote[3360].end 13282.22534375
transcript.pyannote[3361].speaker SPEAKER_12
transcript.pyannote[3361].start 13286.66346875
transcript.pyannote[3361].end 13287.99659375
transcript.pyannote[3362].speaker SPEAKER_12
transcript.pyannote[3362].start 13289.22846875
transcript.pyannote[3362].end 13291.82721875
transcript.pyannote[3363].speaker SPEAKER_18
transcript.pyannote[3363].start 13291.89471875
transcript.pyannote[3363].end 13293.07596875
transcript.pyannote[3364].speaker SPEAKER_12
transcript.pyannote[3364].start 13293.07596875
transcript.pyannote[3364].end 13296.21471875
transcript.pyannote[3365].speaker SPEAKER_18
transcript.pyannote[3365].start 13293.09284375
transcript.pyannote[3365].end 13293.12659375
transcript.pyannote[3366].speaker SPEAKER_18
transcript.pyannote[3366].start 13293.14346875
transcript.pyannote[3366].end 13293.21096875
transcript.pyannote[3367].speaker SPEAKER_18
transcript.pyannote[3367].start 13295.35409375
transcript.pyannote[3367].end 13311.60471875
transcript.pyannote[3368].speaker SPEAKER_12
transcript.pyannote[3368].start 13310.57534375
transcript.pyannote[3368].end 13315.09784375
transcript.pyannote[3369].speaker SPEAKER_12
transcript.pyannote[3369].start 13316.63346875
transcript.pyannote[3369].end 13317.42659375
transcript.pyannote[3370].speaker SPEAKER_12
transcript.pyannote[3370].start 13318.52346875
transcript.pyannote[3370].end 13319.63721875
transcript.pyannote[3371].speaker SPEAKER_12
transcript.pyannote[3371].start 13320.04221875
transcript.pyannote[3371].end 13321.24034375
transcript.pyannote[3372].speaker SPEAKER_12
transcript.pyannote[3372].start 13321.61159375
transcript.pyannote[3372].end 13323.72096875
transcript.pyannote[3373].speaker SPEAKER_12
transcript.pyannote[3373].start 13324.54784375
transcript.pyannote[3373].end 13326.20159375
transcript.pyannote[3374].speaker SPEAKER_12
transcript.pyannote[3374].start 13326.96096875
transcript.pyannote[3374].end 13328.83409375
transcript.pyannote[3375].speaker SPEAKER_12
transcript.pyannote[3375].start 13330.01534375
transcript.pyannote[3375].end 13331.63534375
transcript.pyannote[3376].speaker SPEAKER_12
transcript.pyannote[3376].start 13331.66909375
transcript.pyannote[3376].end 13332.68159375
transcript.pyannote[3377].speaker SPEAKER_12
transcript.pyannote[3377].start 13333.30596875
transcript.pyannote[3377].end 13333.44096875
transcript.pyannote[3378].speaker SPEAKER_12
transcript.pyannote[3378].start 13333.47471875
transcript.pyannote[3378].end 13335.02721875
transcript.pyannote[3379].speaker SPEAKER_12
transcript.pyannote[3379].start 13335.26346875
transcript.pyannote[3379].end 13337.52471875
transcript.pyannote[3380].speaker SPEAKER_12
transcript.pyannote[3380].start 13338.68909375
transcript.pyannote[3380].end 13343.48159375
transcript.pyannote[3381].speaker SPEAKER_12
transcript.pyannote[3381].start 13343.83596875
transcript.pyannote[3381].end 13344.93284375
transcript.pyannote[3382].speaker SPEAKER_12
transcript.pyannote[3382].start 13345.89471875
transcript.pyannote[3382].end 13347.68346875
transcript.pyannote[3383].speaker SPEAKER_12
transcript.pyannote[3383].start 13348.22346875
transcript.pyannote[3383].end 13352.98221875
transcript.pyannote[3384].speaker SPEAKER_12
transcript.pyannote[3384].start 13353.87659375
transcript.pyannote[3384].end 13356.15471875
transcript.pyannote[3385].speaker SPEAKER_12
transcript.pyannote[3385].start 13358.23034375
transcript.pyannote[3385].end 13361.95971875
transcript.pyannote[3386].speaker SPEAKER_12
transcript.pyannote[3386].start 13362.56721875
transcript.pyannote[3386].end 13363.05659375
transcript.pyannote[3387].speaker SPEAKER_12
transcript.pyannote[3387].start 13363.57971875
transcript.pyannote[3387].end 13364.74409375
transcript.pyannote[3388].speaker SPEAKER_12
transcript.pyannote[3388].start 13365.25034375
transcript.pyannote[3388].end 13369.08096875
transcript.pyannote[3389].speaker SPEAKER_12
transcript.pyannote[3389].start 13369.60409375
transcript.pyannote[3389].end 13370.85284375
transcript.pyannote[3390].speaker SPEAKER_12
transcript.pyannote[3390].start 13371.08909375
transcript.pyannote[3390].end 13372.47284375
transcript.pyannote[3391].speaker SPEAKER_12
transcript.pyannote[3391].start 13373.28284375
transcript.pyannote[3391].end 13375.59471875
transcript.pyannote[3392].speaker SPEAKER_12
transcript.pyannote[3392].start 13375.76346875
transcript.pyannote[3392].end 13375.78034375
transcript.pyannote[3393].speaker SPEAKER_15
transcript.pyannote[3393].start 13375.78034375
transcript.pyannote[3393].end 13377.19784375
transcript.pyannote[3394].speaker SPEAKER_12
transcript.pyannote[3394].start 13376.40471875
transcript.pyannote[3394].end 13377.31596875
transcript.pyannote[3395].speaker SPEAKER_15
transcript.pyannote[3395].start 13377.24846875
transcript.pyannote[3395].end 13378.51409375
transcript.pyannote[3396].speaker SPEAKER_15
transcript.pyannote[3396].start 13378.71659375
transcript.pyannote[3396].end 13387.08659375
transcript.pyannote[3397].speaker SPEAKER_15
transcript.pyannote[3397].start 13387.23846875
transcript.pyannote[3397].end 13389.83721875
transcript.pyannote[3398].speaker SPEAKER_15
transcript.pyannote[3398].start 13390.10721875
transcript.pyannote[3398].end 13392.95909375
transcript.pyannote[3399].speaker SPEAKER_15
transcript.pyannote[3399].start 13393.14471875
transcript.pyannote[3399].end 13398.22409375
transcript.pyannote[3400].speaker SPEAKER_12
transcript.pyannote[3400].start 13397.36346875
transcript.pyannote[3400].end 13399.91159375
transcript.pyannote[3401].speaker SPEAKER_15
transcript.pyannote[3401].start 13398.81471875
transcript.pyannote[3401].end 13398.93284375
transcript.pyannote[3402].speaker SPEAKER_12
transcript.pyannote[3402].start 13400.41784375
transcript.pyannote[3402].end 13404.23159375
transcript.pyannote[3403].speaker SPEAKER_15
transcript.pyannote[3403].start 13400.56971875
transcript.pyannote[3403].end 13401.44721875
transcript.pyannote[3404].speaker SPEAKER_15
transcript.pyannote[3404].start 13401.97034375
transcript.pyannote[3404].end 13408.09596875
transcript.pyannote[3405].speaker SPEAKER_12
transcript.pyannote[3405].start 13406.64471875
transcript.pyannote[3405].end 13408.83846875
transcript.pyannote[3406].speaker SPEAKER_15
transcript.pyannote[3406].start 13408.61909375
transcript.pyannote[3406].end 13414.45784375
transcript.pyannote[3407].speaker SPEAKER_12
transcript.pyannote[3407].start 13413.19221875
transcript.pyannote[3407].end 13417.30971875
transcript.pyannote[3408].speaker SPEAKER_15
transcript.pyannote[3408].start 13414.79534375
transcript.pyannote[3408].end 13415.04846875
transcript.pyannote[3409].speaker SPEAKER_15
transcript.pyannote[3409].start 13417.54596875
transcript.pyannote[3409].end 13418.03534375
transcript.pyannote[3410].speaker SPEAKER_12
transcript.pyannote[3410].start 13417.88346875
transcript.pyannote[3410].end 13419.21659375
transcript.pyannote[3411].speaker SPEAKER_15
transcript.pyannote[3411].start 13418.49096875
transcript.pyannote[3411].end 13419.11534375
transcript.pyannote[3412].speaker SPEAKER_15
transcript.pyannote[3412].start 13419.82409375
transcript.pyannote[3412].end 13429.62846875
transcript.pyannote[3413].speaker SPEAKER_12
transcript.pyannote[3413].start 13426.28721875
transcript.pyannote[3413].end 13427.35034375
transcript.pyannote[3414].speaker SPEAKER_12
transcript.pyannote[3414].start 13427.72159375
transcript.pyannote[3414].end 13431.33284375
transcript.pyannote[3415].speaker SPEAKER_15
transcript.pyannote[3415].start 13431.75471875
transcript.pyannote[3415].end 13433.29034375
transcript.pyannote[3416].speaker SPEAKER_12
transcript.pyannote[3416].start 13431.77159375
transcript.pyannote[3416].end 13433.94846875
transcript.pyannote[3417].speaker SPEAKER_15
transcript.pyannote[3417].start 13433.81346875
transcript.pyannote[3417].end 13436.02409375
transcript.pyannote[3418].speaker SPEAKER_12
transcript.pyannote[3418].start 13434.11721875
transcript.pyannote[3418].end 13435.97346875
transcript.pyannote[3419].speaker SPEAKER_15
transcript.pyannote[3419].start 13436.61471875
transcript.pyannote[3419].end 13447.61721875
transcript.pyannote[3420].speaker SPEAKER_12
transcript.pyannote[3420].start 13446.99284375
transcript.pyannote[3420].end 13448.46096875
transcript.pyannote[3421].speaker SPEAKER_12
transcript.pyannote[3421].start 13448.51159375
transcript.pyannote[3421].end 13448.52846875
transcript.pyannote[3422].speaker SPEAKER_15
transcript.pyannote[3422].start 13448.52846875
transcript.pyannote[3422].end 13451.85284375
transcript.pyannote[3423].speaker SPEAKER_15
transcript.pyannote[3423].start 13452.05534375
transcript.pyannote[3423].end 13453.28721875
transcript.pyannote[3424].speaker SPEAKER_15
transcript.pyannote[3424].start 13453.60784375
transcript.pyannote[3424].end 13457.38784375
transcript.pyannote[3425].speaker SPEAKER_15
transcript.pyannote[3425].start 13457.72534375
transcript.pyannote[3425].end 13466.41596875
transcript.pyannote[3426].speaker SPEAKER_12
transcript.pyannote[3426].start 13465.18409375
transcript.pyannote[3426].end 13465.47096875
transcript.pyannote[3427].speaker SPEAKER_12
transcript.pyannote[3427].start 13466.65221875
transcript.pyannote[3427].end 13469.06534375
transcript.pyannote[3428].speaker SPEAKER_15
transcript.pyannote[3428].start 13466.70284375
transcript.pyannote[3428].end 13468.86284375
transcript.pyannote[3429].speaker SPEAKER_15
transcript.pyannote[3429].start 13469.36909375
transcript.pyannote[3429].end 13469.50409375
transcript.pyannote[3430].speaker SPEAKER_12
transcript.pyannote[3430].start 13469.50409375
transcript.pyannote[3430].end 13471.42784375
transcript.pyannote[3431].speaker SPEAKER_12
transcript.pyannote[3431].start 13471.69784375
transcript.pyannote[3431].end 13473.03096875
transcript.pyannote[3432].speaker SPEAKER_12
transcript.pyannote[3432].start 13473.53721875
transcript.pyannote[3432].end 13476.76034375
transcript.pyannote[3433].speaker SPEAKER_12
transcript.pyannote[3433].start 13477.40159375
transcript.pyannote[3433].end 13481.50221875
transcript.pyannote[3434].speaker SPEAKER_12
transcript.pyannote[3434].start 13482.73409375
transcript.pyannote[3434].end 13485.88971875
transcript.pyannote[3435].speaker SPEAKER_14
transcript.pyannote[3435].start 13486.49721875
transcript.pyannote[3435].end 13486.88534375
transcript.pyannote[3436].speaker SPEAKER_12
transcript.pyannote[3436].start 13487.39159375
transcript.pyannote[3436].end 13488.99471875
transcript.pyannote[3437].speaker SPEAKER_12
transcript.pyannote[3437].start 13489.88909375
transcript.pyannote[3437].end 13491.22221875
transcript.pyannote[3438].speaker SPEAKER_12
transcript.pyannote[3438].start 13492.20096875
transcript.pyannote[3438].end 13492.99409375
transcript.pyannote[3439].speaker SPEAKER_12
transcript.pyannote[3439].start 13493.29784375
transcript.pyannote[3439].end 13494.31034375
transcript.pyannote[3440].speaker SPEAKER_12
transcript.pyannote[3440].start 13495.62659375
transcript.pyannote[3440].end 13497.97221875
transcript.pyannote[3441].speaker SPEAKER_12
transcript.pyannote[3441].start 13498.95096875
transcript.pyannote[3441].end 13500.53721875
transcript.pyannote[3442].speaker SPEAKER_12
transcript.pyannote[3442].start 13501.12784375
transcript.pyannote[3442].end 13504.84034375
transcript.pyannote[3443].speaker SPEAKER_12
transcript.pyannote[3443].start 13504.97534375
transcript.pyannote[3443].end 13505.02596875
transcript.pyannote[3444].speaker SPEAKER_12
transcript.pyannote[3444].start 13505.07659375
transcript.pyannote[3444].end 13508.55284375
transcript.pyannote[3445].speaker SPEAKER_12
transcript.pyannote[3445].start 13509.26159375
transcript.pyannote[3445].end 13512.38346875
transcript.pyannote[3446].speaker SPEAKER_12
transcript.pyannote[3446].start 13512.65346875
transcript.pyannote[3446].end 13513.68284375
transcript.pyannote[3447].speaker SPEAKER_12
transcript.pyannote[3447].start 13514.13846875
transcript.pyannote[3447].end 13516.51784375
transcript.pyannote[3448].speaker SPEAKER_12
transcript.pyannote[3448].start 13517.56409375
transcript.pyannote[3448].end 13521.49596875
transcript.pyannote[3449].speaker SPEAKER_12
transcript.pyannote[3449].start 13522.12034375
transcript.pyannote[3449].end 13523.40284375
transcript.pyannote[3450].speaker SPEAKER_12
transcript.pyannote[3450].start 13523.82471875
transcript.pyannote[3450].end 13525.79909375
transcript.pyannote[3451].speaker SPEAKER_12
transcript.pyannote[3451].start 13527.08159375
transcript.pyannote[3451].end 13528.11096875
transcript.pyannote[3452].speaker SPEAKER_12
transcript.pyannote[3452].start 13528.21221875
transcript.pyannote[3452].end 13529.22471875
transcript.pyannote[3453].speaker SPEAKER_12
transcript.pyannote[3453].start 13530.16971875
transcript.pyannote[3453].end 13531.89096875
transcript.pyannote[3454].speaker SPEAKER_12
transcript.pyannote[3454].start 13532.54909375
transcript.pyannote[3454].end 13533.34221875
transcript.pyannote[3455].speaker SPEAKER_12
transcript.pyannote[3455].start 13534.06784375
transcript.pyannote[3455].end 13536.49784375
transcript.pyannote[3456].speaker SPEAKER_12
transcript.pyannote[3456].start 13537.25721875
transcript.pyannote[3456].end 13538.35409375
transcript.pyannote[3457].speaker SPEAKER_12
transcript.pyannote[3457].start 13539.02909375
transcript.pyannote[3457].end 13540.29471875
transcript.pyannote[3458].speaker SPEAKER_15
transcript.pyannote[3458].start 13539.78846875
transcript.pyannote[3458].end 13540.81784375
transcript.pyannote[3459].speaker SPEAKER_12
transcript.pyannote[3459].start 13541.03721875
transcript.pyannote[3459].end 13542.04971875
transcript.pyannote[3460].speaker SPEAKER_15
transcript.pyannote[3460].start 13541.05409375
transcript.pyannote[3460].end 13543.24784375
transcript.pyannote[3461].speaker SPEAKER_12
transcript.pyannote[3461].start 13543.28159375
transcript.pyannote[3461].end 13546.84221875
transcript.pyannote[3462].speaker SPEAKER_12
transcript.pyannote[3462].start 13547.24721875
transcript.pyannote[3462].end 13548.34409375
transcript.pyannote[3463].speaker SPEAKER_12
transcript.pyannote[3463].start 13549.40721875
transcript.pyannote[3463].end 13552.02284375
transcript.pyannote[3464].speaker SPEAKER_12
transcript.pyannote[3464].start 13552.57971875
transcript.pyannote[3464].end 13553.47409375
transcript.pyannote[3465].speaker SPEAKER_12
transcript.pyannote[3465].start 13553.98034375
transcript.pyannote[3465].end 13556.86596875
transcript.pyannote[3466].speaker SPEAKER_29
transcript.pyannote[3466].start 13554.18284375
transcript.pyannote[3466].end 13554.26721875
transcript.pyannote[3467].speaker SPEAKER_12
transcript.pyannote[3467].start 13557.76034375
transcript.pyannote[3467].end 13559.44784375
transcript.pyannote[3468].speaker SPEAKER_12
transcript.pyannote[3468].start 13559.70096875
transcript.pyannote[3468].end 13562.19846875
transcript.pyannote[3469].speaker SPEAKER_15
transcript.pyannote[3469].start 13563.46409375
transcript.pyannote[3469].end 13572.23909375
transcript.pyannote[3470].speaker SPEAKER_12
transcript.pyannote[3470].start 13567.96971875
transcript.pyannote[3470].end 13571.07471875
transcript.pyannote[3471].speaker SPEAKER_15
transcript.pyannote[3471].start 13572.52596875
transcript.pyannote[3471].end 13578.19596875
transcript.pyannote[3472].speaker SPEAKER_12
transcript.pyannote[3472].start 13577.03159375
transcript.pyannote[3472].end 13580.37284375
transcript.pyannote[3473].speaker SPEAKER_12
transcript.pyannote[3473].start 13580.91284375
transcript.pyannote[3473].end 13582.56659375
transcript.pyannote[3474].speaker SPEAKER_15
transcript.pyannote[3474].start 13582.56659375
transcript.pyannote[3474].end 13584.47346875
transcript.pyannote[3475].speaker SPEAKER_12
transcript.pyannote[3475].start 13583.74784375
transcript.pyannote[3475].end 13584.65909375
transcript.pyannote[3476].speaker SPEAKER_15
transcript.pyannote[3476].start 13584.60846875
transcript.pyannote[3476].end 13586.38034375
transcript.pyannote[3477].speaker SPEAKER_12
transcript.pyannote[3477].start 13585.43534375
transcript.pyannote[3477].end 13588.81034375
transcript.pyannote[3478].speaker SPEAKER_12
transcript.pyannote[3478].start 13590.14346875
transcript.pyannote[3478].end 13592.42159375
transcript.pyannote[3479].speaker SPEAKER_12
transcript.pyannote[3479].start 13593.68721875
transcript.pyannote[3479].end 13595.27346875
transcript.pyannote[3480].speaker SPEAKER_12
transcript.pyannote[3480].start 13597.72034375
transcript.pyannote[3480].end 13599.15471875
transcript.pyannote[3481].speaker SPEAKER_12
transcript.pyannote[3481].start 13599.71159375
transcript.pyannote[3481].end 13602.27659375
transcript.pyannote[3482].speaker SPEAKER_12
transcript.pyannote[3482].start 13602.56346875
transcript.pyannote[3482].end 13603.94721875
transcript.pyannote[3483].speaker SPEAKER_15
transcript.pyannote[3483].start 13603.05284375
transcript.pyannote[3483].end 13604.82471875
transcript.pyannote[3484].speaker SPEAKER_12
transcript.pyannote[3484].start 13604.47034375
transcript.pyannote[3484].end 13606.05659375
transcript.pyannote[3485].speaker SPEAKER_15
transcript.pyannote[3485].start 13605.43221875
transcript.pyannote[3485].end 13605.80346875
transcript.pyannote[3486].speaker SPEAKER_15
transcript.pyannote[3486].start 13606.05659375
transcript.pyannote[3486].end 13610.69721875
transcript.pyannote[3487].speaker SPEAKER_15
transcript.pyannote[3487].start 13610.73096875
transcript.pyannote[3487].end 13616.45159375
transcript.pyannote[3488].speaker SPEAKER_12
transcript.pyannote[3488].start 13614.71346875
transcript.pyannote[3488].end 13615.79346875
transcript.pyannote[3489].speaker SPEAKER_12
transcript.pyannote[3489].start 13616.80596875
transcript.pyannote[3489].end 13619.89409375
transcript.pyannote[3490].speaker SPEAKER_15
transcript.pyannote[3490].start 13618.17284375
transcript.pyannote[3490].end 13618.96596875
transcript.pyannote[3491].speaker SPEAKER_15
transcript.pyannote[3491].start 13619.59034375
transcript.pyannote[3491].end 13620.56909375
transcript.pyannote[3492].speaker SPEAKER_12
transcript.pyannote[3492].start 13620.09659375
transcript.pyannote[3492].end 13621.42971875
transcript.pyannote[3493].speaker SPEAKER_15
transcript.pyannote[3493].start 13621.14284375
transcript.pyannote[3493].end 13623.06659375
transcript.pyannote[3494].speaker SPEAKER_12
transcript.pyannote[3494].start 13622.44221875
transcript.pyannote[3494].end 13624.93971875
transcript.pyannote[3495].speaker SPEAKER_15
transcript.pyannote[3495].start 13624.61909375
transcript.pyannote[3495].end 13627.84221875
transcript.pyannote[3496].speaker SPEAKER_15
transcript.pyannote[3496].start 13628.66909375
transcript.pyannote[3496].end 13630.32284375
transcript.pyannote[3497].speaker SPEAKER_15
transcript.pyannote[3497].start 13630.71096875
transcript.pyannote[3497].end 13631.36909375
transcript.pyannote[3498].speaker SPEAKER_15
transcript.pyannote[3498].start 13631.67284375
transcript.pyannote[3498].end 13634.77784375
transcript.pyannote[3499].speaker SPEAKER_12
transcript.pyannote[3499].start 13633.90034375
transcript.pyannote[3499].end 13638.16971875
transcript.pyannote[3500].speaker SPEAKER_15
transcript.pyannote[3500].start 13636.49909375
transcript.pyannote[3500].end 13637.17409375
transcript.pyannote[3501].speaker SPEAKER_15
transcript.pyannote[3501].start 13637.37659375
transcript.pyannote[3501].end 13641.02159375
transcript.pyannote[3502].speaker SPEAKER_12
transcript.pyannote[3502].start 13639.23284375
transcript.pyannote[3502].end 13643.36721875
transcript.pyannote[3503].speaker SPEAKER_15
transcript.pyannote[3503].start 13643.16471875
transcript.pyannote[3503].end 13643.48534375
transcript.pyannote[3504].speaker SPEAKER_29
transcript.pyannote[3504].start 13643.48534375
transcript.pyannote[3504].end 13643.90721875
transcript.pyannote[3505].speaker SPEAKER_12
transcript.pyannote[3505].start 13643.94096875
transcript.pyannote[3505].end 13648.24409375
transcript.pyannote[3506].speaker SPEAKER_12
transcript.pyannote[3506].start 13648.66596875
transcript.pyannote[3506].end 13655.34846875
transcript.pyannote[3507].speaker SPEAKER_15
transcript.pyannote[3507].start 13651.55159375
transcript.pyannote[3507].end 13651.63596875
transcript.pyannote[3508].speaker SPEAKER_15
transcript.pyannote[3508].start 13653.39096875
transcript.pyannote[3508].end 13655.21346875
transcript.pyannote[3509].speaker SPEAKER_15
transcript.pyannote[3509].start 13655.31471875
transcript.pyannote[3509].end 13655.71971875
transcript.pyannote[3510].speaker SPEAKER_15
transcript.pyannote[3510].start 13656.07409375
transcript.pyannote[3510].end 13658.08221875
transcript.pyannote[3511].speaker SPEAKER_15
transcript.pyannote[3511].start 13658.45346875
transcript.pyannote[3511].end 13659.80346875
transcript.pyannote[3512].speaker SPEAKER_15
transcript.pyannote[3512].start 13660.10721875
transcript.pyannote[3512].end 13661.55846875
transcript.pyannote[3513].speaker SPEAKER_15
transcript.pyannote[3513].start 13661.77784375
transcript.pyannote[3513].end 13663.56659375
transcript.pyannote[3514].speaker SPEAKER_15
transcript.pyannote[3514].start 13663.81971875
transcript.pyannote[3514].end 13667.17784375
transcript.pyannote[3515].speaker SPEAKER_15
transcript.pyannote[3515].start 13667.53221875
transcript.pyannote[3515].end 13669.20284375
transcript.pyannote[3516].speaker SPEAKER_12
transcript.pyannote[3516].start 13669.08471875
transcript.pyannote[3516].end 13671.88596875
transcript.pyannote[3517].speaker SPEAKER_12
transcript.pyannote[3517].start 13672.32471875
transcript.pyannote[3517].end 13674.02909375
transcript.pyannote[3518].speaker SPEAKER_15
transcript.pyannote[3518].start 13672.45971875
transcript.pyannote[3518].end 13672.47659375
transcript.pyannote[3519].speaker SPEAKER_12
transcript.pyannote[3519].start 13674.60284375
transcript.pyannote[3519].end 13677.85971875
transcript.pyannote[3520].speaker SPEAKER_12
transcript.pyannote[3520].start 13678.58534375
transcript.pyannote[3520].end 13679.53034375
transcript.pyannote[3521].speaker SPEAKER_12
transcript.pyannote[3521].start 13681.09971875
transcript.pyannote[3521].end 13682.23034375
transcript.pyannote[3522].speaker SPEAKER_15
transcript.pyannote[3522].start 13681.36971875
transcript.pyannote[3522].end 13683.25971875
transcript.pyannote[3523].speaker SPEAKER_15
transcript.pyannote[3523].start 13684.00221875
transcript.pyannote[3523].end 13684.74471875
transcript.pyannote[3524].speaker SPEAKER_12
transcript.pyannote[3524].start 13684.99784375
transcript.pyannote[3524].end 13685.79096875
transcript.pyannote[3525].speaker SPEAKER_12
transcript.pyannote[3525].start 13686.26346875
transcript.pyannote[3525].end 13689.53721875
transcript.pyannote[3526].speaker SPEAKER_12
transcript.pyannote[3526].start 13689.99284375
transcript.pyannote[3526].end 13691.54534375
transcript.pyannote[3527].speaker SPEAKER_12
transcript.pyannote[3527].start 13691.86596875
transcript.pyannote[3527].end 13693.38471875
transcript.pyannote[3528].speaker SPEAKER_12
transcript.pyannote[3528].start 13693.84034375
transcript.pyannote[3528].end 13695.98346875
transcript.pyannote[3529].speaker SPEAKER_12
transcript.pyannote[3529].start 13696.74284375
transcript.pyannote[3529].end 13697.92409375
transcript.pyannote[3530].speaker SPEAKER_12
transcript.pyannote[3530].start 13698.58221875
transcript.pyannote[3530].end 13700.16846875
transcript.pyannote[3531].speaker SPEAKER_15
transcript.pyannote[3531].start 13700.52284375
transcript.pyannote[3531].end 13701.21471875
transcript.pyannote[3532].speaker SPEAKER_15
transcript.pyannote[3532].start 13701.34971875
transcript.pyannote[3532].end 13702.90221875
transcript.pyannote[3533].speaker SPEAKER_12
transcript.pyannote[3533].start 13701.60284375
transcript.pyannote[3533].end 13703.03721875
transcript.pyannote[3534].speaker SPEAKER_15
transcript.pyannote[3534].start 13703.12159375
transcript.pyannote[3534].end 13703.59409375
transcript.pyannote[3535].speaker SPEAKER_12
transcript.pyannote[3535].start 13703.59409375
transcript.pyannote[3535].end 13703.61096875
transcript.pyannote[3536].speaker SPEAKER_12
transcript.pyannote[3536].start 13704.16784375
transcript.pyannote[3536].end 13706.24346875
transcript.pyannote[3537].speaker SPEAKER_12
transcript.pyannote[3537].start 13706.91846875
transcript.pyannote[3537].end 13709.77034375
transcript.pyannote[3538].speaker SPEAKER_15
transcript.pyannote[3538].start 13707.15471875
transcript.pyannote[3538].end 13707.98159375
transcript.pyannote[3539].speaker SPEAKER_12
transcript.pyannote[3539].start 13710.32721875
transcript.pyannote[3539].end 13712.13284375
transcript.pyannote[3540].speaker SPEAKER_12
transcript.pyannote[3540].start 13712.75721875
transcript.pyannote[3540].end 13715.03534375
transcript.pyannote[3541].speaker SPEAKER_12
transcript.pyannote[3541].start 13715.89596875
transcript.pyannote[3541].end 13717.34721875
transcript.pyannote[3542].speaker SPEAKER_12
transcript.pyannote[3542].start 13718.08971875
transcript.pyannote[3542].end 13718.78159375
transcript.pyannote[3543].speaker SPEAKER_12
transcript.pyannote[3543].start 13720.35096875
transcript.pyannote[3543].end 13721.90346875
transcript.pyannote[3544].speaker SPEAKER_12
transcript.pyannote[3544].start 13722.22409375
transcript.pyannote[3544].end 13723.60784375
transcript.pyannote[3545].speaker SPEAKER_15
transcript.pyannote[3545].start 13723.11846875
transcript.pyannote[3545].end 13724.36721875
transcript.pyannote[3546].speaker SPEAKER_15
transcript.pyannote[3546].start 13724.63721875
transcript.pyannote[3546].end 13727.35409375
transcript.pyannote[3547].speaker SPEAKER_15
transcript.pyannote[3547].start 13727.79284375
transcript.pyannote[3547].end 13728.88971875
transcript.pyannote[3548].speaker SPEAKER_15
transcript.pyannote[3548].start 13728.97409375
transcript.pyannote[3548].end 13732.75409375
transcript.pyannote[3549].speaker SPEAKER_12
transcript.pyannote[3549].start 13729.59846875
transcript.pyannote[3549].end 13735.97721875
transcript.pyannote[3550].speaker SPEAKER_15
transcript.pyannote[3550].start 13733.10846875
transcript.pyannote[3550].end 13739.50409375
transcript.pyannote[3551].speaker SPEAKER_15
transcript.pyannote[3551].start 13739.53784375
transcript.pyannote[3551].end 13748.24534375
transcript.pyannote[3552].speaker SPEAKER_12
transcript.pyannote[3552].start 13747.73909375
transcript.pyannote[3552].end 13751.97471875
transcript.pyannote[3553].speaker SPEAKER_15
transcript.pyannote[3553].start 13749.02159375
transcript.pyannote[3553].end 13751.04659375
transcript.pyannote[3554].speaker SPEAKER_12
transcript.pyannote[3554].start 13752.59909375
transcript.pyannote[3554].end 13754.28659375
transcript.pyannote[3555].speaker SPEAKER_12
transcript.pyannote[3555].start 13754.86034375
transcript.pyannote[3555].end 13758.96096875
transcript.pyannote[3556].speaker SPEAKER_12
transcript.pyannote[3556].start 13759.78784375
transcript.pyannote[3556].end 13763.77034375
transcript.pyannote[3557].speaker SPEAKER_12
transcript.pyannote[3557].start 13764.51284375
transcript.pyannote[3557].end 13765.47471875
transcript.pyannote[3558].speaker SPEAKER_15
transcript.pyannote[3558].start 13766.16659375
transcript.pyannote[3558].end 13770.40221875
transcript.pyannote[3559].speaker SPEAKER_12
transcript.pyannote[3559].start 13767.46596875
transcript.pyannote[3559].end 13770.16596875
transcript.pyannote[3560].speaker SPEAKER_12
transcript.pyannote[3560].start 13770.77346875
transcript.pyannote[3560].end 13772.12346875
transcript.pyannote[3561].speaker SPEAKER_12
transcript.pyannote[3561].start 13772.51159375
transcript.pyannote[3561].end 13774.31721875
transcript.pyannote[3562].speaker SPEAKER_12
transcript.pyannote[3562].start 13774.84034375
transcript.pyannote[3562].end 13776.03846875
transcript.pyannote[3563].speaker SPEAKER_12
transcript.pyannote[3563].start 13776.49409375
transcript.pyannote[3563].end 13777.87784375
transcript.pyannote[3564].speaker SPEAKER_12
transcript.pyannote[3564].start 13778.28284375
transcript.pyannote[3564].end 13780.79721875
transcript.pyannote[3565].speaker SPEAKER_12
transcript.pyannote[3565].start 13781.11784375
transcript.pyannote[3565].end 13782.02909375
transcript.pyannote[3566].speaker SPEAKER_12
transcript.pyannote[3566].start 13783.22721875
transcript.pyannote[3566].end 13784.59409375
transcript.pyannote[3567].speaker SPEAKER_12
transcript.pyannote[3567].start 13785.50534375
transcript.pyannote[3567].end 13787.22659375
transcript.pyannote[3568].speaker SPEAKER_12
transcript.pyannote[3568].start 13787.54721875
transcript.pyannote[3568].end 13790.26409375
transcript.pyannote[3569].speaker SPEAKER_12
transcript.pyannote[3569].start 13791.24284375
transcript.pyannote[3569].end 13792.72784375
transcript.pyannote[3570].speaker SPEAKER_12
transcript.pyannote[3570].start 13793.52096875
transcript.pyannote[3570].end 13796.18721875
transcript.pyannote[3571].speaker SPEAKER_15
transcript.pyannote[3571].start 13793.97659375
transcript.pyannote[3571].end 13796.79471875
transcript.pyannote[3572].speaker SPEAKER_12
transcript.pyannote[3572].start 13796.79471875
transcript.pyannote[3572].end 13799.54534375
transcript.pyannote[3573].speaker SPEAKER_15
transcript.pyannote[3573].start 13798.76909375
transcript.pyannote[3573].end 13802.05971875
transcript.pyannote[3574].speaker SPEAKER_12
transcript.pyannote[3574].start 13801.58721875
transcript.pyannote[3574].end 13803.71346875
transcript.pyannote[3575].speaker SPEAKER_15
transcript.pyannote[3575].start 13802.61659375
transcript.pyannote[3575].end 13807.42596875
transcript.pyannote[3576].speaker SPEAKER_34
transcript.pyannote[3576].start 13807.57784375
transcript.pyannote[3576].end 13820.20034375
transcript.pyannote[3577].speaker SPEAKER_34
transcript.pyannote[3577].start 13823.99721875
transcript.pyannote[3577].end 13851.31784375
transcript.whisperx[0].start 1519.412
transcript.whisperx[0].end 1525.16
transcript.whisperx[0].text 請主任秘書報告出席人數現在開會進行報告事項 請宣讀上次會議意思錄
transcript.whisperx[1].start 1532.918
transcript.whisperx[1].end 1559.46
transcript.whisperx[1].text 立法院第十一屆第四會期內政委員會第七次全體委員會議議事錄時間一百一十四年十月二十二日星期三上午九時至十時五十三分地點紅樓二零二會議室出席委員蘇巧慧委員等十三人列席委員葉元之委員等十二人請假委員黃建斌委員一人列席官員內政部部長劉思芳及相關人員國防部資源規劃司人力資源處檢認事查錄新庭及相關人員法務部檢察官李芷琪
transcript.whisperx[2].start 1560.18
transcript.whisperx[2].end 1574.168
transcript.whisperx[2].text 行政院主席總處公務預算處專門委員李培元主席王昭基委員美會報告事項一 宣讀上次會議事錄決定確定二 邀請內政部就替代役訓練及備役召集運用進行專題報告並備質詢報告事項幾 討論事項合併詢答委員羅美玲 臺灣民眾黨黨團代表委員蔓玉珍說明提案要旨
transcript.whisperx[3].start 1580.271
transcript.whisperx[3].end 1604.291
transcript.whisperx[3].text 內政部部長劉思芳報告委員蘇巧慧等11人質詢分別由內政部部長劉思芳及相關人員及國防部資源規劃司人力資源處檢任視察盧新廷答覆說明決定一登記發言委員處不在場則外其餘均與發言完畢詢答結束二委員林楚英謝龍介吳啟明高金淑美所提書面質詢列入記錄刊登公報三書面質詢及未及答覆部分請相關機關於一週內另以書面
transcript.whisperx[4].start 1604.861
transcript.whisperx[4].end 1632.467
transcript.whisperx[4].text 答覆並複製本會 討論事項一審查委員王美惠等18人拟據替代實施條例第59條條文修正草案二審查委員羅美玲等18人拟據替代實施條例增訂第55條之五條文草案三審查臺灣命中黨黨團拟據替代實施條例第55條之一條文修正草案決議一請內政部緊速會同相關單位研議妥適之修正條文內容二討論事項所列議案均另定期繼續審查條文尚未宣讀 宣讀完畢
transcript.whisperx[5].start 1635.325
transcript.whisperx[5].end 1644.634
transcript.whisperx[5].text 請問各位委員上次會議議事錄有無錯誤或遺漏那我們現在繼續進行本次的議程請宣讀
transcript.whisperx[6].start 1646.676
transcript.whisperx[6].end 1669.361
transcript.whisperx[6].text 報告事項邀請內政部部長海洋委員會主任委員內政部警政署署長內政部移民署署長海洋委員會海巡署署長農業部部長財政部官務署署長就防堵非洲豬瘟邊境檢疫與查緝機制之檢討與精進作為進行專題報告並被質詢討論事項審查委員徐巧欣等16人離去海岸尋訪法第13條條文修正查案宣讀完畢
transcript.whisperx[7].start 1675.882
transcript.whisperx[7].end 1703.272
transcript.whisperx[7].text 本次議程所列報告事項與討論事項合併答詢那現在介紹在場的委員還有列席的官員首先介紹我們的王美惠召委我們舒喬惠委員張志倫委員許巧欣委員
transcript.whisperx[8].start 1707.233
transcript.whisperx[8].end 1730.089
transcript.whisperx[8].text 今天列席的官員有我們內政部的政司馬事員馬次長警政署張榮興張署長移民署林鴻恩林署長海委會主委管碧玲管主委還有我們海委會常務副主委兼海巡署署長張忠榮
transcript.whisperx[9].start 1735.765
transcript.whisperx[9].end 1757.27
transcript.whisperx[9].text 然後這個是農業部動植物防疫檢疫署的署長杜耀都署長財政部官務署的署長彭英偉彭署長法務部法治司林黛麗副市長
transcript.whisperx[10].start 1764.847
transcript.whisperx[10].end 1769.858
transcript.whisperx[10].text 我們現在請提案委員說明提案要旨 請徐曉軍委員提案說明
transcript.whisperx[11].start 1780.132
transcript.whisperx[11].end 1802.694
transcript.whisperx[11].text 謝謝主席我想這個相關的修正案其實是因為我們國家沿海的執法挑戰可以說是日益嚴峻就像是我們今天其實在樓上的外交國防委員會國安局的報告裡面也都有談到關於灰色作戰地帶的一些問題
transcript.whisperx[12].start 1803.835
transcript.whisperx[12].end 1827.201
transcript.whisperx[12].text 所以兩岸之間其實在包含我們第一線的海巡人員的各種突發狀況之下其實它已經不只是原本的海巡的工作它更包含的是我們對於國安的一個要求所以經常需要的是及時完整的蒐證錄影跟錄音這早就已經是現代執法不可或缺的一環
transcript.whisperx[13].start 1827.961
transcript.whisperx[13].end 1848.754
transcript.whisperx[13].text 也是保障民眾權益跟執法人員自身安全的重要憑據那包含是像我們一般來講說這個警察他們也都有相關的這個器材要求那作為他們自己不管是自我保護或者是日後他在蒐證上面或者是我們要釐清問題真相的時候非常好的一個憑據
transcript.whisperx[14].start 1849.855
transcript.whisperx[14].end 1873.997
transcript.whisperx[14].text 那回顾呢在108年立法院决议要求配发全面每一人都要有一台的这个密录器那多次的争取相关的设备跟筹购但是呢每个人一台的这个理想似乎是还没有达到那去年发生的这个金门撞船案的时候呢海委会也承诺了114年完成密录器百分之百编装率的目标
transcript.whisperx[15].start 1874.637
transcript.whisperx[15].end 1900.263
transcript.whisperx[15].text 那這一次修正案裡面呢也是希望能夠回應現場同仁跟社會大眾的期待那最主要是呢一個固定的那一個呢是可能可以比較自由去運用的就是說在船上裝固定式的監視的設備那個人的部分呢不管他是用攝影器材錄音或是其他科技工具都可以那用這樣的方式可以有效的防止
transcript.whisperx[16].start 1900.723
transcript.whisperx[16].end 1926.548
transcript.whisperx[16].text 先前相關的事件因為沒有及時收證那導致真相的爭議證據已失的憾事重演所以我在這裡也強調一次那因為我有看到這個海委會有提到就是說呢擔心說呢這個列出了相關的科技設備的話會不會有摯愛難行或是掛一漏萬的疑慮呢那我想我們這裡寫得非常清楚是不會有這種情況的簡單說就是
transcript.whisperx[17].start 1929.508
transcript.whisperx[17].end 1958.36
transcript.whisperx[17].text 船上一種的固定器材監視設備以及相關人員是任選一種的不管是攝影器材、盾號、錄音器材或其他科技工具都可以所以要做什麼樣的科技工具選擇對於個人配置的這個部分其實是呈現開放式的但是在每一台的艦艇上面無論大小都應該要有
transcript.whisperx[18].start 1958.82
transcript.whisperx[18].end 1982.674
transcript.whisperx[18].text 固定的監視設備否則的話像上一次的這個兩岸之間漁船的爭議那就沒有相關的這個設備可以做後續的這個釐清以至於當時我們有花了非常多的時間試圖去討論這個真相為何但我們卻沒有相關的影片可以作為佐證對我方來說是相當不利的
transcript.whisperx[19].start 1983.254
transcript.whisperx[19].end 2006.783
transcript.whisperx[19].text 所以呢這項修法他不僅是補齊設備的空缺更是守護我們所有海巡人員的職安而且也保重民眾知情的權利確保執法公信力跟透明度讓每一分的執法過程都有據可查也讓不實指控跟執法疑慮呢是有跡可循的所以呢再一次希望各位委員跟海委會能夠支持本案謝謝
transcript.whisperx[20].start 2009.634
transcript.whisperx[20].end 2023.047
transcript.whisperx[20].text 謝謝提亮委員 徐協勳委員的說明那補充介紹還有到場的丁薛忠委員也到我們現場那先這邊請我們接下來請海委會管病組委做我們的專題與法案一併來報告
transcript.whisperx[21].start 2036.536
transcript.whisperx[21].end 2052.877
transcript.whisperx[21].text 主席 各位委員先進各位女士先生 大家好感謝貴委員會邀請本會列席今日的會議僅就兩項專案報告提出以下說明針對防堵非洲豬瘟邊境檢疫與查緝機制的檢討與精進的部分自報告如下
transcript.whisperx[22].start 2053.997
transcript.whisperx[22].end 2079.672
transcript.whisperx[22].text 2018年临近国家爆发非洲猪瘟疫情以后本会海巡署及设置防治非洲猪瘟紧急应变机制落实岸海相关勤务多年来处置蛛丝均依上述作业程序妥善处理农业部于本月22日公告台中市发生疑似非洲猪瘟案例本会及指示海巡署成立紧急应变中心
transcript.whisperx[23].start 2080.212
transcript.whisperx[23].end 2105.594
transcript.whisperx[23].text 并于同日12时30分召开第一次应变会议截至28日止即召开4次启动防范非洲周恩疫情专案计划要求各单位秉持防疫势同作战的态度权力守护国门及民众的健康本会还迅速全面加强港口与岸际的检查所有进港渔船实施百分之百安检
transcript.whisperx[24].start 2106.194
transcript.whisperx[24].end 2120.362
transcript.whisperx[24].text 若查獲病死株或禽畜廢棄物將立即管制現場通報防檢局機關等採樣並由相關單位焚燒或掩埋同時依行政院主委院長指示加強
transcript.whisperx[25].start 2121.122
transcript.whisperx[25].end 2147.4
transcript.whisperx[25].text 防范走私落实边境管制经统计今年1月1日到10月26日已经执行海上登检可疑船舶141艘次进港船舶安检131万余艘次并针对渔民进行177万余人次的防疫宣导确保及时应变与防堵作为114年执行至离岛
transcript.whisperx[26].start 2148.4
transcript.whisperx[26].end 2172.833
transcript.whisperx[26].text 執行外離島至本島國內航線貨物拆檢檢查查緝案件即韓宋海關385案其中發現違規農產品61案其餘為大陸製加工食品及大陸製物品展現強化港舖安全與防疫查緝成效令自107年12月迄今總計處理海漂株枝屍體
transcript.whisperx[27].start 2175.195
transcript.whisperx[27].end 2202.796
transcript.whisperx[27].text 179案阳性案例除了一例以外均为金门马祖这案例本岛自110年以来不曾有案记诸失成阳性反应未来将持续落实探案巡查与防疫作为总之海巡人员将秉持最高的标准最严谨的态度宁可多做不可少做不怕做白宫的原则全面投入动员非洲诸瘟防堵作战
transcript.whisperx[28].start 2203.516
transcript.whisperx[28].end 2232.448
transcript.whisperx[28].text 另有關於海岸巡防法第13條條文修正草案之說明如下感謝貴文會邀請也感謝提案委員的關心現行海岸巡防法第13條已充分授權海岸巡防機關與執法期間彈性配備相應之應勤裝備令本會海巡署也已經在113年修正艦船艇人力規劃及裝備西行基準要點
transcript.whisperx[29].start 2233.268
transcript.whisperx[29].end 2249.326
transcript.whisperx[29].text 律定所有艦船艇及海巡人员于执勤期间需配置或携带相关搜证及录影设备可确保案件处置过程搜证作业完备档一提案所提
transcript.whisperx[30].start 2250.748
transcript.whisperx[30].end 2269.499
transcript.whisperx[30].text 應配備固定的監視設備及相關攝錄影器材或其他科技工具欲有狹窄空間之搜索、崎嶇、暗器、非車輛所及地點之巡邏或者需隱匿身份之跟監等相關必須因地制宜、遂行勤務之處恐將造成執行的障礙
transcript.whisperx[31].start 2274.302
transcript.whisperx[31].end 2290.245
transcript.whisperx[31].text 另如果以列舉的各式裝備方式修正海岸循環法恐僵化的選擇適宜裝備之彈性自有怪異漏案之疑慮原建議維持原條文內容以上報告敬請見和指導謝謝謝謝管主委的報告那補充今天到場還有我們現在到場是我們的牛許庭委員
transcript.whisperx[32].start 2305.399
transcript.whisperx[32].end 2334.023
transcript.whisperx[32].text 那接下來請內政部馬市馬市長馬常事 馬市院市長說明主席各位委員女士先生大家早安我國自從107年12月18日成立非洲豬瘟莊在應變中心後本部警政署及移民署被列為應變中心的成員那也依照相關的計畫跟防疫規定跟
transcript.whisperx[33].start 2334.804
transcript.whisperx[33].end 2356.898
transcript.whisperx[33].text 所有的部會建立聯繫的窗口來防堵非洲豬瘟的入侵以下內政部緊究邊境檢疫及查緝的機制與其精進的作為做簡要的說明分為四個部分第一個部分有關於邊境管控的部分本部在航空的部分由警政署航警局來協助關務署
transcript.whisperx[34].start 2358.84
transcript.whisperx[34].end 2384.552
transcript.whisperx[34].text 於桃園機場就重點航班39個疫區國家的入境旅客拖運行李辦理篩檢作業如果發現來自於疫區的豬肉製品會及時通報農業部防檢署處理令航警局於台北松山台中台南高雄花蓮金門南北竿等機場執行勤務的過程中依照
transcript.whisperx[35].start 2385.609
transcript.whisperx[35].end 2413.445
transcript.whisperx[35].text 桃園機場的作業程序一樣發現疫區來自於豬肉製品也會及時通報防檢署派員處理在商港的部分在海關移民檢疫安檢的合作機制內本部警政署港務警察總隊執行船員以及工作人員及民眾進出商港管制區安全檢查工作一樣針對豬肉製品等會進行所謂的邊境查緝的工作
transcript.whisperx[36].start 2414.713
transcript.whisperx[36].end 2441.683
transcript.whisperx[36].text 自12月22號至今警政署已經派遣5389人次支援農業部以及各部會在邊境茶器的工作上面來防堵豬肉製品的進口那麼移民署另外在我們的機場以及港口的茶宴大廳也張貼相關的海報跟防疫宣導的短片來針對我們的
transcript.whisperx[37].start 2443.715
transcript.whisperx[37].end 2467.668
transcript.whisperx[37].text 航空以及港口入出境的人員來進行宣導提醒勿攜帶國外的自落製品入境此外 農業部防檢署也列冊高風險的特定對象移民署在高風險特定對象入境時會告知檢疫站派員來完成特定對象的清消以及查詢工作
transcript.whisperx[38].start 2468.499
transcript.whisperx[38].end 2496.639
transcript.whisperx[38].text 截至10月26號止目前我們已經完成了1194人次那麼其中違規攜帶豬肉類產品入境而且沒有具居留身份當場也沒有查清沒有繳清發源者那麼立即拒絕入境目前有606人那在第二個部分有關於多元多餘的宣導由於我國有許多的住民來自於東南亞以及中國大陸地區
transcript.whisperx[39].start 2497.54
transcript.whisperx[39].end 2524.541
transcript.whisperx[39].text 那麼在飲食習慣上面跟豬肉製品息息相關所以我們對於外籍人士的族群宣傳我們也針對細胞簡訊E-mail還有圖卡的部分在臉書加強專業的一個宣導只要有外籍移民的相關活動以及節慶的期間移民署也會到場來加強宣導跟訪視提醒的工作
transcript.whisperx[40].start 2525.154
transcript.whisperx[40].end 2545.571
transcript.whisperx[40].text 那目前我們總共辦理了5689場次宣導的人次也超過了18萬人那麼也有行動服務列車2423車次來對我們的新住民朋友來提醒那麼在第三部分有關於查緝精進的作為部分
transcript.whisperx[41].start 2546.26
transcript.whisperx[41].end 2574.347
transcript.whisperx[41].text 那目前我們在收報有關於不法物品進入我國的部分除了豬肉之外還有其他的非法槍毒等那這些我們都會跨部會機關合作來預先預防這些不法物品的入境所以在查緝的原則上面有所謂的事不放原則也就是看不清不放查不清不放交代不清不放有懷疑不放的四大原則來協助關務署
transcript.whisperx[42].start 2576.397
transcript.whisperx[42].end 2605.093
transcript.whisperx[42].text 的同仁進行行李托運的一個查驗那麼也派駐我們具備土壤辨識能力的遠景支援海關的一個查緝的工作那麼第三有關於高風險船舶的部分那麼如果港區有曾經靠駁高風險註記的船舶那麼在裝卸貨的期間警政署也會安排警力那這時候也會包含寶山總隊的警力
transcript.whisperx[43].start 2606.126
transcript.whisperx[43].end 2634.647
transcript.whisperx[43].text 來協助房檢署跟海巡署的同仁協助登船檢查那麼第四個也就是在名冊的盤點我們目前內政部也針對販賣豬肉製品的外國朋友跟外國移民的這個商家我們有建立了名冊那這些名冊跟食藥署還有各地方政府衛生局我們也建立了合作的管道那不定期的會進行合作的宣導清查以及增防
transcript.whisperx[44].start 2635.322
transcript.whisperx[44].end 2660.852
transcript.whisperx[44].text 那麼此外我們也有具備東南亞語文的相關同仁那會留意在網站社群媒體上面的這些情資看看是否有這個不當的這樣的一個豬肉製品的進口跟交易的行為那麼也會配合檢疫跟衛生單位來做聯合稽查那針對違法的情勢來加強偵辦由於目前的非洲豬瘟的疫情嚴峻
transcript.whisperx[45].start 2661.468
transcript.whisperx[45].end 2684.471
transcript.whisperx[45].text 所以本部的移民署跟警政署我們目前維持高度警戒也會全力協助財政部關務署農業部房檢署以及衛福部食藥署等機關執行相關的防疫工作希望能夠將疫情阻絕於境外來守護國人健康安居的環境那以上報告敬請各位先進不吝指教謝謝好謝謝馬市長
transcript.whisperx[46].start 2687.245
transcript.whisperx[46].end 2715.027
transcript.whisperx[46].text 那其他單位的報告請委員自行參閱並刊登公報現在進行詢問委員質詢前願立作以下幾點宣告第一本會委員發言時間五分鐘必要時延長兩分鐘非本會委員發言時間五分鐘上午十點三十截止發言登記那本次會議就不處理臨時提案請各位有沒有意見
transcript.whisperx[47].start 2716.408
transcript.whisperx[47].end 2720.99
transcript.whisperx[47].text 好那我們現在進行詢問請登記地位的舒喬惠委員發言好謝謝主席我想請我們防疫檢疫署杜麗華署長
transcript.whisperx[48].start 2745.103
transcript.whisperx[48].end 2768.576
transcript.whisperx[48].text 署長好 署長 我想我們防疫是全國的事情不分中央跟地方那我們在這七年來我們把非洲豬瘟其實是守得很好一直主角於境外直到今日所以做得好的事情好的防疫要能夠持續為是只有兩個嘛第一個就是做得好的動作持續
transcript.whisperx[49].start 2769.73
transcript.whisperx[49].end 2789.879
transcript.whisperx[49].text 做不好有洞的地方就補洞精準的把漏洞找出來把它補齊這才是防疫能夠持續的方式署長完全同意嘛 對不對完全同意嘛好 那所以我們今天在此刻10月的現在發生了爆發第一起非洲豬瘟在國內這樣的狀況我們這個現在的狀況你到底它的洞在哪裡是邊境要加鹽嗎
transcript.whisperx[50].start 2797.122
transcript.whisperx[50].end 2800.225
transcript.whisperx[50].text 還是是在境內要來阻絕呢我認為其實我們應該現在要處理的是國內到底會不會這個案件擴大這才是現在的重中之重不然的話你國內如果大爆發你邊境再怎麼防堵其實我們就整個豬場所有的養豬事業都已經去料料了啊
transcript.whisperx[51].start 2817.964
transcript.whisperx[51].end 2824.188
transcript.whisperx[51].text 這農民都這樣 豬農都這樣說了嘛 對不對所以我們的重中之重應該是放在國內現在要查清楚署長應該也同意吧防疫視同作戰嘛要精準的了解戰場才知道資源現在要怎麼配置嘛好 所以我今天沒有要跟你談邊境防疫的這個管制啊那我們現在就來談今天本件個案來 我們現在看嘛其實這一件非洲豬瘟的時序表
transcript.whisperx[52].start 2846.623
transcript.whisperx[52].end 2852.586
transcript.whisperx[52].text 10月10號豬隻死亡個案出現而且據現在的疫調通報是一次是報了20頭豬超過了這個300頭豬的這個豬場超過了他的百分之百分之相當多了嘛百分之將近10了啊百分之782吧對不對
transcript.whisperx[53].start 2864.631
transcript.whisperx[53].end 2870.394
transcript.whisperx[53].text 好 接下來有獸醫師到場單位採檢然後10月20號的時候又有另外的獸醫師到現場才終於採檢署長 我想問的是說其實在這個部分我們到底誰可以採檢採檢的要件到底是哪裡因為這就是整個案件的第一步第一個洞就是出現在這裡署長你同意吧 對不對好 那我問你什麼時候 粉件什麼時候可以採檢什麼時候應該要採檢
transcript.whisperx[54].start 2892.545
transcript.whisperx[54].end 2912.383
transcript.whisperx[54].text 報告委員本件有異常嗎300頭豬的豬場一次死了20頭豬這是異常嗎我跟委員來做報告14號之前那這個他有這個異常的部分大概是5次從11月1號你就告訴我啦你就用 你是專家嘛你就很簡單一句話告訴我一個300頭豬的豬場通報了你我今天死了20頭豬
transcript.whisperx[55].start 2919.489
transcript.whisperx[55].end 2925.092
transcript.whisperx[55].text 超過5%這樣算不算異常 是算不算 有有嘛 算異常嘛好 所以算異常那應不應該採檢因為現在其實坊間的徵典竟然變成是說啊 我們沒有典型的症狀所以無法強制採檢現在的徵典變成是這樣啊所以我偏查所有的法規喔能不能夠採檢其實就是只有這條規定嘛
transcript.whisperx[56].start 2944.46
transcript.whisperx[56].end 2951.726
transcript.whisperx[56].text 就是在動物傳染病防治條例的第17條啊受醫師或受醫佐醫執行業務發現動物罹患 罹患或可能感染罹患或可能感染的時候就應於24小時內向當地當地的動物防疫機關報告而動物防疫機關接到報告的時候是應立即為必要之處置
transcript.whisperx[57].start 2969.707
transcript.whisperx[57].end 2985.998
transcript.whisperx[57].text 署長我採用的這條法規有問題嗎這個是甲類甲類的傳染病一定要照這樣來做通報但如果是一般的疾病就不是這樣子所以一般他是不是甲類還是一般就完全取決於現場獸醫師的判斷嗎假設說我們牧場他有一般的都有特約的獸醫師那認為有疑似他就要通知台中的動保處是台中的動保處嘛當地嘛對不對
transcript.whisperx[58].start 3000.448
transcript.whisperx[58].end 3008.517
transcript.whisperx[58].text 對 然後來查核事 那我們現在看下面啦我給你看其他縣市的做法啦其他縣市這些也通通都是已經知道是假類了嗎這些案件都知道是假類所以才去採檢嗎
transcript.whisperx[59].start 3015.228
transcript.whisperx[59].end 3038.98
transcript.whisperx[59].text 只要有棄置河邊 我棄置河邊我就知道它是甲類了喔我排泄物有異樣了 我當場採檢也是因為我知道它是甲類了嗎在一隻海漂豬來 我看著它我就知道說喔這甲類 所以我應該要採檢是這樣嗎海漂豬的部分我們已經跟海巡共同第一時間就處理對嘛 那前面那個呢 第一個2018年的時候花蓮六隻豬被棄置在河邊呢我眼睛看到它我就知道是甲類了嗎
transcript.whisperx[60].start 3041.001
transcript.whisperx[60].end 3048.867
transcript.whisperx[60].text 在我們的海邊簡單講就是有沒有警覺性嘛我們新北市在有養豬場排泄物異樣的時候就可以當場採檢了啊對不對所以其實就是這一個地方到底有沒有警覺性它是不是傳染病我當然是要驗了以後我才知道是什麼狀況啊不是是這樣嗎海漂豬的處理師每一屆一定印
transcript.whisperx[61].start 3067.621
transcript.whisperx[61].end 3089.12
transcript.whisperx[61].text 我這裡又不是只有海漂豬而已這個這個所列出來的目前的這個大概都是跟我們跟海巡一起處理的海漂豬那我第一項是嗎我第二項是嗎對河邊也是淡水養豬場也是海漂豬喔河口的地方也是海邊河邊我們一律都一個標準就是一定驗這個標準一定是特別的高我本來齁在這個台上
transcript.whisperx[62].start 3091.622
transcript.whisperx[62].end 3094.645
transcript.whisperx[62].text 要告訴你的就是說我們現在的標準就是應該要重演嘛所以我們的警覺性要提高嘛所以接下來的話任何有豬隻異常的話一個 你剛剛都已經說了一個300頭豬的養豬場20頭豬20頭豬能夠一次性死亡這個如果還比較異常的話那
transcript.whisperx[63].start 3114.406
transcript.whisperx[63].end 3125.068
transcript.whisperx[63].text 我不曉得什麼才叫做異常啦連一般人我不是專家我都知道這是異常了所以不用採檢嗎這麼簡單的道理對不對大家在這種防範防成這樣今天這麼多部會要來說邊境加嚴管理結果你一個獸醫師到現場看20頭豬超過了7%的死亡率你不用採檢你不用通報有這種事情那為什麼我們這麼多單位要在這邊這麼嚴格的防疫
transcript.whisperx[64].start 3142.452
transcript.whisperx[64].end 3146.493
transcript.whisperx[64].text 不是是這樣嗎好你現在作為署長我已經給你這個樓梯了你竟然還在說你不加嚴我不能理解欸對不起那個我真的不能理解報告委員我可能說沒清楚其實都已經加嚴了那之前的部分對加嚴已經有加嚴了我覺得這樣我問不下去了抱歉抱歉
transcript.whisperx[65].start 3168.206
transcript.whisperx[65].end 3179.322
transcript.whisperx[65].text 我們省非洲蘇溫熟了7年是這是在蘇院長的時候就已經嚴格去做執行到現在沒有變沒有變還是要更加你現在告訴我說300頭豬的豬場有一次20頭豬死亡是異常
transcript.whisperx[66].start 3184.076
transcript.whisperx[66].end 3206.991
transcript.whisperx[66].text 不用通報 不用採檢 不用加嚴未來不用再更嚴格的處理都要所以現在的動作一切是正常的不是 他不是正常 他是異常他絕對要有後續的處理那所以呢所以後續的處理台中市的動保處要回報給我們那他到底是有去宣傳法事你知道嗎如果我們的傳染期我們的檢服期是15天我們現在的第一頭豬死亡的時間是10月10號
transcript.whisperx[67].start 3213.896
transcript.whisperx[67].end 3214.799
transcript.whisperx[67].text 對 我是10月10號他才通知他10月9號就可能有狀況了10月10號以前的豬有出去了嗎
transcript.whisperx[68].start 3222.649
transcript.whisperx[68].end 3244.735
transcript.whisperx[68].text 你也不知道啊因為台中市政府給你的三次疫調所以台中市政府的疫調署長我事實上我跟你們要報告說現在豬到底死亡幾頭你們沒有報告給我耶在我們的畫廠你沒有報告給我蘇巧惠辦公室耶好 那我們你現在有嗎你現在在備詢台中說嘛9月1號起一直到我們10月13號你這次本件到底已經現在目前為止死了多少頭豬我們的畫廠的數字顯示9月1號起到10月
transcript.whisperx[69].start 3250.136
transcript.whisperx[69].end 3255.04
transcript.whisperx[69].text 13號的抽驗是106頭這數字誰給你的21號 但是這是我們的化智廠的不是 是我們的這個系統的警示但現在就是台中市政府只回報給我們78頭所以我們現在要求他們
transcript.whisperx[70].start 3268.268
transcript.whisperx[70].end 3270.329
transcript.whisperx[70].text 落差在哪裡 對啊對 所以要求台中市政府把疫調這個裡面要釐清楚到底死亡的頭數是多少頭那到目前為止還他們所提出來的市長對於你今天的這個回答我非常的不滿意啦好 我檢討我非常的不滿意是 我檢討
transcript.whisperx[71].start 3286.84
transcript.whisperx[71].end 3291.543
transcript.whisperx[71].text 已經發生了這麼多天全國人民驚慌產業界消費者大家都陰陰的期盼就是應該要有一套東西可以拿出來告訴我們說現在有一個洞出現了而我明確的知道洞在哪裡我接下來要怎麼補結果你現在沒有辦法在備詢台上面一次告訴我
transcript.whisperx[72].start 3308.936
transcript.whisperx[72].end 3321.707
transcript.whisperx[72].text 我拍頭就已經說了防疫是中央跟地方的事情我們沒有要推責但是該是誰的責任動在哪裡大家講清楚嘛這哪有什麼黨派之分這哪有中央跟地方之分所以你該講的就應該在這裡講出來你到底是在擔心什麼東西呢如果是台中市政府沒有資訊給你在這裡講出來嘛
transcript.whisperx[73].start 3330.194
transcript.whisperx[73].end 3353.589
transcript.whisperx[73].text 我相信其他的委員各縣市的都一樣擔心啊我們已經在應變中心跟應變所的會議一再要求台中市政府要表議調也就是這些包括來源包括死亡投訴包括三年單的部分所以你有東西了嗎除以你有東西了嗎你現在有資料了嗎昨天的時候他們昨天下午三點那你對於台中市政府不給你資料所以你現在沒有辦法在這裡回答委員他們已經已經給我們昨天下午三點給我們那資料是準確的嗎11點
transcript.whisperx[74].start 3358.893
transcript.whisperx[74].end 3362.884
transcript.whisperx[74].text 已經送我們的專家委員會要針對他的報告 完整報告做審視
transcript.whisperx[75].start 3364.901
transcript.whisperx[75].end 3372.085
transcript.whisperx[75].text 所以在審視之前你也不知道那是不是正確的嗎有 昨天已經初步初步的這個簡報那個什麼他的那個疫調報告已經有回應他一些意見要求他再詳細的補充說明我覺得我在立法院問政這樣十年我想我的品質應該是還受到肯定如果連我現在在這裡都聽不懂你在說什麼的話那難怪國人聽不懂這個報告啦好 對不起
transcript.whisperx[76].start 3392.833
transcript.whisperx[76].end 3397.436
transcript.whisperx[76].text 好 謝謝蘇喬惠委員下一位我們請張志倫委員質詢 張委員有請好 謝謝主席 各位委員 各位官員早有請內政部馬政次 警政署張署長 海委會管主委以及這個關務署的彭署長林副司長 張署長
transcript.whisperx[77].start 3422.779
transcript.whisperx[77].end 3430.179
transcript.whisperx[77].text 管主委還有哪一個官務還有彭署長有請
transcript.whisperx[78].start 3434.96
transcript.whisperx[78].end 3462.219
transcript.whisperx[78].text 好各位長官大家早今天為什麼要請每個單位的長官大家一起到這邊因為剛剛我們蘇委員也特別質詢也非常義憤填膺為什麼因為非洲豬瘟台灣已經防疫7年成功了那今年的5月29號台灣也獲得國際的這些衛生組織的獎章正式列為非疫區想不到在5個月的今天今天10月29號
transcript.whisperx[79].start 3463.34
transcript.whisperx[79].end 3480.631
transcript.whisperx[79].text 我們必須要這邊再質詢請教各位官員為什麼非洲豬瘟會在台灣發生首例而且目前來講就像剛剛在討論的部分現在還在努力的防堵當然就我們國家而言防堵病毒的入侵
transcript.whisperx[80].start 3481.471
transcript.whisperx[80].end 3507.369
transcript.whisperx[80].text 不只是以國內防疫為主那邊境檢疫要共同守住動物健康的防線是非常重要尤其是嚴格的邊境檢疫策略是扮演關鍵的角色作為杜絕疾病境外的第一道防線不管是機場、港口、郵局這些通路都要強化查驗來防止動物跟其產品的非法輸入所以第一個我想要請問我們各單位的
transcript.whisperx[81].start 3510.351
transcript.whisperx[81].end 3539.16
transcript.whisperx[81].text 長官現在有沒有查出非洲豬瘟的防疫破口是在哪裡是不是請各單位的主管簡單說明一下先有請內政部的馬次長請問有查到現在非洲豬瘟的防疫破口是哪裡嗎跟委員報告我們在行警局我們配合各個單位執行我們的邊境查驗那從110年到現在我們總共查了1593件那麼也查扣了2000多公斤
transcript.whisperx[82].start 3540.204
transcript.whisperx[82].end 3562.534
transcript.whisperx[82].text 這裡面我們有陽性的建築所以馬市長認為您這邊是百分之百防疫沒有問題我們現在的部分執行的強度非常高旅客非法攜帶的部分還是我們查緝的重點謝謝接下來請海委會管主委主委這邊
transcript.whisperx[83].start 3564.737
transcript.whisperx[83].end 3582.486
transcript.whisperx[83].text 海巡署在案記誅師的部分大概成功的攔阻了20個案例我們採取的是百分之百都當作非洲族文來處理這個部分是百分之百的所以179次只有20次是陽性159次我們不認為那個是做白宮因為有必要
transcript.whisperx[84].start 3592.151
transcript.whisperx[84].end 3619.34
transcript.whisperx[84].text 我們就是當作有可能所以我們第一時間防護衣穿著就衝出去好 這是海巡的做法好 謝謝管主委接下來我們請張署長好 委員我們的邊境管制最主要是機場跟港口由我們的航空警察局協助貫入署對於入境旅客那台灣機場的部分就是對於入境的這個行李配合海關在做這樣的一個檢視
transcript.whisperx[85].start 3620.82
transcript.whisperx[85].end 3628.223
transcript.whisperx[85].text 那另外旅客的部分就是這個水手攜帶的目前是由關務署就是由防檢署對於這個疫區來有專線在做檢查那我想就是這個是有歷史的變從108年到108年我們原先這個內政部是有支援這個防檢署是專案在看但108年的7月以後就回歸給
transcript.whisperx[86].start 3647.331
transcript.whisperx[86].end 3662.722
transcript.whisperx[86].text 給這個灌入署來他們的德情保全大隊就對了對對對所以這個部分的行李就移給他們來做其實這方面的非洲之音的這個檢查是非常嚴謹的那另外就是說這個剛剛我們這次也提過就是從111年到目前為止大概這個查驗的這個狀況大概有這樣的跡象那港口的部分是由這個我們的港務警察總隊
transcript.whisperx[87].start 3676.873
transcript.whisperx[87].end 3683.797
transcript.whisperx[87].text 配合海關還有這些檢疫單位一起來做一個質詢謝謝署長我們請關務署報告委員這六七年來海關一向以高標準高規格高警覺來防渡非洲豬瘟都沒有鬆懈政策也都沒有改變過那我們會繼續嚴查這個非洲豬瘟加強力道那這幾年來也查獲了13500多件都移送防監署去做採訪以上
transcript.whisperx[88].start 3708.468
transcript.whisperx[88].end 3713.65
transcript.whisperx[88].text 剛剛聽完各個我們所有邊際防疫的長官回覆後我有幾個問題想要來請問第一個我們先請內政部馬次長馬次長
transcript.whisperx[89].start 3723.649
transcript.whisperx[89].end 3738.15
transcript.whisperx[89].text 就我這邊得知就有關於這個航警局的這個部分那航警局我這邊有收到線索就是說航警局的部分有人力就是來協助有關於這個貨物的進出口負責的這個非洲豬瘟的查驗
transcript.whisperx[90].start 3738.951
transcript.whisperx[90].end 3763.089
transcript.whisperx[90].text 那我這邊有得到消息因為我還沒有找到確切的數字聽說航警局的部分人力是有吃緊的一個部分那很多的人力是被調到其他的單位比如說像寶二的關鍵基礎設施請問有沒有這樣的情形沒有這個問題我們對於這個寶二的這個一波都是要填選自願的所以對於這個航空的恩賢大隊的警力現在是充足的
transcript.whisperx[91].start 3765.17
transcript.whisperx[91].end 3782.277
transcript.whisperx[91].text 這幾年的人數是不是有逐年下降目前大概就是說大概缺200多人那我在今年的10月13日再補54人安檢大隊對於這個出境或入境的這個警力的這個執行目前是沒有問題的
transcript.whisperx[92].start 3783.317
transcript.whisperx[92].end 3809.275
transcript.whisperx[92].text 好就是航警局現在就是配合這個安檢大隊安檢大隊現在警力是沒問題的可是就我得知啦因為我還沒有要到確切的數字就是逐年我們這個安檢大隊的人力是有短少的那我收到的消息是有被拍到這個寶二的關鍵基礎設施所以這邊拜託署長會後是不是可以提供我們相關的數字如果人數有減少就是邊境查緝這個非洲豬瘟的或者是一些毒品的人數
transcript.whisperx[93].start 3809.995
transcript.whisperx[93].end 3819.978
transcript.whisperx[93].text 尤其在這個入境的部分尤其檢查貨物的部分人力有少請要儘速來補齊好嗎好沒問題好謝謝第二個我們請管主委主委好那請問一下你們現在這個海巡的人員在剛剛你特別講到的在查緝這個岸邊查緝這個疑似有走私的船的時候你們人力的數量人力的人數是否足夠
transcript.whisperx[94].start 3837.934
transcript.whisperx[94].end 3865.178
transcript.whisperx[94].text 各位有没有报告确实我们在海上的人力今年的上半年有一个短期间的落差因为毕业的同学考完试然后要你确定为什么我今天问这些问题其实就是我们的边际的防疫不管是大家都很辛苦我是知道这个部分完全没有问题这个问题我们只要发现这个部分我们只要发现到目前为止是百分之百我们都处理的
transcript.whisperx[95].start 3865.678
transcript.whisperx[95].end 3881.379
transcript.whisperx[95].text 對其實這就是我要講的尤其在海巡的部分我也收到這個海巡人員給我的一些小建議他說雖然是100%的查緝可是查緝的時間跟查緝的精準度上如果你只有一兩個人去查的話一個漁民他會覺得說你查了很久
transcript.whisperx[96].start 3882.14
transcript.whisperx[96].end 3895.686
transcript.whisperx[96].text 他會不耐煩造成查緝人員的一些心理壓力我原說的是安檢對安檢的人員那所以我的意思是說如果你們人力不足還是需要拜託你們把這個人力的狀況稍微去補齊一下我們下半年會把這個同學畢業以後然後經過考試訓練完畢以後他們就位的時候上半年的時候離職的數字下半年都補足了所以什麼時候會補足
transcript.whisperx[97].start 3909.6
transcript.whisperx[97].end 3927.94
transcript.whisperx[97].text 我們已經報到已經報到了絕大部分但是還有一個是特考特考的部分是11月11月就會補足好謝謝拜託盡快補足來把這個邊境的這個安檢的部分再加強那最後我再請這個關務署的部分
transcript.whisperx[98].start 3929.858
transcript.whisperx[98].end 3949.051
transcript.whisperx[98].text 好 關武署那剛剛大家都講說查緝都沒有問題那我還是希望說第一個人力要補足那我在請教的時候最近新聞也在提說現在在夜市販賣很多這個國外包含大陸相關的一些零食它是沒有貼這個繁體標示可能是走私入境的一個部分
transcript.whisperx[99].start 3949.611
transcript.whisperx[99].end 3973.386
transcript.whisperx[99].text 那就關務署而言你認為這麼像現在很多在夜市大量的大陸的零食算不算是走私的一部分那這些部分會不會有藏有這個豬肉尤其是疫區的豬肉那這些來路不明的食品那會不會成為防疫的破口請關務署回答是 報告委員現在這個食品的部分6公斤以下個人是可以帶進來自用的
transcript.whisperx[100].start 3973.906
transcript.whisperx[100].end 3989.707
transcript.whisperx[100].text 是不是有走私的行為因為如果只有6公斤以下那為什麼會產生這麼大量的在夜市上販售的情形你們要怎麼去檢查這些問題那這種可能的情形有時候可能是小山洞這邊用螞蟻搬家的方式一個人經常進出這個國境
transcript.whisperx[101].start 3991.315
transcript.whisperx[101].end 4017.181
transcript.whisperx[101].text 一個人6公斤那有可能慢慢的就累積多了但是他限於要自用不能到市場上去販賣到市場販賣是違反規定的那你們現在有什麼加強的一個查緝的措施嗎當然肉品是不行含肉的豬肉製品當然都不能所以現在都沒有含肉的製品不含肉的食品是一個人有6公斤的限制可以帶進來
transcript.whisperx[102].start 4018.717
transcript.whisperx[102].end 4042.415
transcript.whisperx[102].text 那後市場的查緝的話可能要多仰賴這個我們相關的警察還有其他的單位來協助因為海關就是通商口岸的邊境的把守好 謝謝那今天本席最後還是要拜託我們各單位的長官第一個人力的部分要再多補強那第二個就是各部會跨部會的協調再拜託一下我們邊境的安檢跟防疫謝謝
transcript.whisperx[103].start 4047.225
transcript.whisperx[103].end 4069.416
transcript.whisperx[103].text 好 謝謝張志倫委員 下一位我們請張宏祿委員質詢來 我請警政署長張署長有請還有海巡署署長海巡署署長有請還有
transcript.whisperx[104].start 4072.412
transcript.whisperx[104].end 4099.329
transcript.whisperx[104].text 農業部的動植物防疫檢疫署署長杜署長有請還有財政部關務署的署長彭署長有請這一次這個非洲豬瘟這件事我們努力了那麼多年那就破功了我想請問一下這個到底有沒有疏忽這個農業局的杜署長
transcript.whisperx[105].start 4102.56
transcript.whisperx[105].end 4120.166
transcript.whisperx[105].text 其實從我們現在目前的資料來講台中本身其實這個是應該是一個追查的一個重點不是 有沒有疏忽應該是有疏忽才會造成的有嘛 我就有這句嘛一個疏忽造成了全台灣幾千億的損失
transcript.whisperx[106].start 4121.755
transcript.whisperx[106].end 4137.11
transcript.whisperx[106].text 然後國際形象還有我們的豬肉我們努力了20年了可以出口了一個政府的一個疏失造成了巨大的損失有多少豬農會倒
transcript.whisperx[107].start 4138.922
transcript.whisperx[107].end 4158.468
transcript.whisperx[107].text 對不對署長所以我們現在目前也在全面性 全國性的防疫都在做加強避免他擴散出去你就回答我的問題嘛對不對是不是有疏失我剛剛有說過這個案例發生絕對是有疏失值得檢討的地方我們這一個啊
transcript.whisperx[108].start 4162.065
transcript.whisperx[108].end 4174.591
transcript.whisperx[108].text 仿如非洲豬瘟這一個跨部會的部門已經成立7年多了是對不對那今天有書師誰的書師比較多目前的安妮廠是在台中
transcript.whisperx[109].start 4176.699
transcript.whisperx[109].end 4181.704
transcript.whisperx[109].text 全台灣都知道在台中啦是我說誰的疏失比較多啦以你們現在這一個禮拜來講的話誰的疏失比較多目前我們檢測起來是從台中市的從通報開始然後好啦我就問你啦是地方政府的疏失多還是中央啦你就回答我這樣就好了啦目前我們真的還在疫調中
transcript.whisperx[110].start 4200.285
transcript.whisperx[110].end 4211.309
transcript.whisperx[110].text 什麼叫意料中 你要講有疏失到底誰的疏失現在目前比較多嗎大家都要檢討啦其實因為剛才講到那你如果這樣講你要不要檢討你自己啊我也會檢討不是啦我立法委員我在問你你就回答我的問題就好了啊那台中市目前來講的話他們的所有的資料其實是很欠缺的很不足的那有很多帶釐清事項也沒有釐清清楚
transcript.whisperx[111].start 4229.416
transcript.whisperx[111].end 4246.509
transcript.whisperx[111].text 對嘛 所以他的疏失比較多吧目前資料顯示是如此對嘛 你就這樣回答就好了嘛就不是在究責我們是要找出問題把它解決嘛為什麼要這樣問好 那你們現在全國的疫調有沒有第二家養豬場有這個問題目前全國的部分
transcript.whisperx[112].start 4247.475
transcript.whisperx[112].end 4252.421
transcript.whisperx[112].text 都沒有第二例所以這也是我們沒有第二例但潛伏期有多久15天15天過了嗎15天還沒有所以邁入第二階段那我看到的新聞說台中烏漆這個養豬場裡面還有檢測到病毒的殘留有沒有這件事
transcript.whisperx[113].start 4267.958
transcript.whisperx[113].end 4270.599
transcript.whisperx[113].text 就是這個案場我們加強傾銷以後我們也特別在針對這個案場看有沒有落實再做檢測所以抽了14個樣品以後發現兩個兩個是陽性就是還有嘛對不對就是還有嘛是環境好
transcript.whisperx[114].start 4285
transcript.whisperx[114].end 4297.826
transcript.whisperx[114].text 我跟你講鞋子踩到會不會會所以目前全國還沒有是蠻慶幸的潛伏期還沒過我剛剛講的是幾千億的產值2000億應該不止吧你的2000億應該是那個養豬場的2000億周邊應該不止2000億吧是不是不止
transcript.whisperx[115].start 4314.841
transcript.whisperx[115].end 4343.09
transcript.whisperx[115].text 對所以我說的就不是所以我的意思就是說你現在如果台中市政府已經不可靠了中央要不要強力的去做有我跟你講這個不能讓病毒擴散出去這是一個非常重要的一件事情不只為了養豬場也為了全台灣也為了國際形象
transcript.whisperx[116].start 4343.959
transcript.whisperx[116].end 4350.494
transcript.whisperx[116].text 也為了我們所有公務人員你今天在這裡你今天做的不是該做的事情
transcript.whisperx[117].start 4351.778
transcript.whisperx[117].end 4376.253
transcript.whisperx[117].text 除了該做的事情之外你做的是救台灣幾千億的產值這應該是很努力去做的一件事情中央地方都要一起來但如果地方他的人力不夠或什麼的中央就要扛起來了是不是是是嘛沒錯你這樣回答我們就來看了看能不能真正的把它防堵起來那我先我再問一下海關我們最近這半年
transcript.whisperx[118].start 4381.38
transcript.whisperx[118].end 4401.664
transcript.whisperx[118].text 我們裁罰了多少包委員我們今年啦你就回答我最近這半年裁罰了多少違規啦我有這個數字是截至到850件今年啦最近半年啦最近半年的數字我要統計大概是600件左右吧你剛剛說800件800件是從1月1號到現在今年才800件啊去年咧去年1100多件
transcript.whisperx[119].start 4412.098
transcript.whisperx[119].end 4428.773
transcript.whisperx[119].text 啊在前年呢一千大概兩三百件左右怎麼逐年遞減是啊因為原廠的關係是因為原廠不是因為不是因為沒有原廠所以越來越少吧當然不是這樣子就很奇怪了該堵的都堵這個病毒從哪裡來的
transcript.whisperx[120].start 4439.091
transcript.whisperx[120].end 4462.781
transcript.whisperx[120].text 這個不是你的專業啦這不是你的專業啦但總有一個漏洞在那邊啦對不對但這個漏洞呢大家現在都知道了啦該哪裡該補我相信啦現在大家都緊繃起來了我跟你講七年多了沒有事情了擔心的就是大家越來越放鬆了越來越放鬆才會這樣啦不然
transcript.whisperx[121].start 4466.861
transcript.whisperx[121].end 4477.67
transcript.whisperx[121].text 這一件事情如果大家是很認真會拖一個多禮拜然後才讓全國知道嗎才說確認嗎那個杜署長如果是大家都戰戰兢兢的像七年前一開始這個情況會發生嗎
transcript.whisperx[122].start 4487.546
transcript.whisperx[122].end 4502.771
transcript.whisperx[122].text 所以說地方的防疫單位你就回答我會不會發生啊其實大家都很認真在做你不要再跟我講這些嘛如果大家都像七年前一開始這樣很緊張這件事情會晚拖
transcript.whisperx[123].start 4503.72
transcript.whisperx[123].end 4508.021
transcript.whisperx[123].text 晚一個多禮拜才通報嗎其實機率會變小什麼叫機率會變小我跟你講在這裡不要講官話啦我們是解決問題啦又沒人要究責又沒人要什麼對不對我再問一次如果是大家都以七年前剛開始的態度去做事這件事情會發生嗎對如果這樣子的話
transcript.whisperx[124].start 4525.935
transcript.whisperx[124].end 4544.683
transcript.whisperx[124].text 這麼高的警覺性其實機率就很小可能就不會發生對嘛所以我覺得就是一個態度的問題啦一個態度的問題啦今天就是因為態度造成這樣所以我現在要跟署長你說的態度要拿出來啦
transcript.whisperx[125].start 4545.97
transcript.whisperx[125].end 4554.096
transcript.whisperx[125].text 我們現在是要把它防堵擴散到其他的豬場這個態度要拿出來但你們的態度國內是你們要負全責但我請這些其他署長上來也是要讓你們知道你們也要幫忙防堵不然國內清理好了後續還這樣會有第二次發生這次如果大家再緊張七年後大家又不緊張了有可能又第二次
transcript.whisperx[126].start 4573.161
transcript.whisperx[126].end 4596.909
transcript.whisperx[126].text 這個是我今天要質詢你的重點所以署長多浪費你一點時間我真的覺得用最高規格的你不要再去管台中市政府怎麼樣了台中市政府都已經這樣就沒有辦法信任了沒有辦法信任的情況之下我覺得該強力的處理就處理好不好好謝謝
transcript.whisperx[127].start 4602.07
transcript.whisperx[127].end 4605.333
transcript.whisperx[127].text 好謝謝張宏祿委員下一位我們請王美惠召委諮詢主席我們這裡農業部醫政署署長來杜署長有請說實在今天要說這個說不太下去
transcript.whisperx[128].start 4630.211
transcript.whisperx[128].end 4635.792
transcript.whisperx[128].text 署長 你知道今天的日記當時嗎?什麼節嗎?你知道嗎?重陽節今天九月我真的懷疑你今天的當時就不知道了你們可能都記新的啦 還沒有記古歷的啦但是今天的節是非常重要
transcript.whisperx[129].start 4660.509
transcript.whisperx[129].end 4662.192
transcript.whisperx[129].text 因為今天是重陽節,是我們一家最大的事大人最愛念的安保,讓他平安順遂
transcript.whisperx[130].start 4675.669
transcript.whisperx[130].end 4694.218
transcript.whisperx[130].text 署長,我今天怎麼會這樣說呢?如果有拜拜,現在市長、縣長都很忙,都會一年三次今天重陽節,最重要的日子是紀念祖先的拜拜,你知道嗎?
transcript.whisperx[131].start 4697.796
transcript.whisperx[131].end 4704.499
transcript.whisperx[131].text 我為什麼要跟你說這個因為我來自嘉義市你敢知道嘉義市的市長尤其是董事也好 南盟產也好還有其他都沒有在馬當賣市長 是你來看嘉義市的董事在馬當你有看過嗎
transcript.whisperx[132].start 4728.715
transcript.whisperx[132].end 4730.557
transcript.whisperx[132].text 或是我現在給你看 你再看或是以後你再看見這個問題會怎樣重視
transcript.whisperx[133].start 4737.319
transcript.whisperx[133].end 4741.661
transcript.whisperx[133].text 我們在18、22號的時候 全國管制的時候就是靜宅禁運 那開始的時候 第一階段就這樣做我比較不知道靜宅禁運 我是說署長你那個感受啦 今天我們有嚴格 特工去 了解說這地方 它的分 有過沒 均到90%沒有
transcript.whisperx[134].start 4765.93
transcript.whisperx[134].end 4771.432
transcript.whisperx[134].text 雖然他在那裡也想要展示他也不希望他的地來世地方政府有辦法去體諒這個老人沒辦法上船但是在這個過程整個國會前還有辦法上船是怎麼發生的事沒辦法上船地方政府覺得一個去關心一個
transcript.whisperx[135].start 4796.357
transcript.whisperx[135].end 4810.722
transcript.whisperx[135].text 市長是我們這個已經對這個什麼台中的資料出來開始針對這個廚餘的報告沒有落實沒有落實沒有落實沒有落實沒有落實沒有落實沒有落實沒有落實沒有落實沒有落實沒有落實沒有落實沒有落實沒有落實沒有落實沒有落實沒有落實沒有落實沒有落實沒有落實沒有落實沒有落實沒有落實沒有落實沒有落實沒有落實沒有落實沒有落實沒有落實沒有落實沒有落實沒有落實沒有落實沒有落實沒有落實沒有落實沒有落實沒有落實沒有落實沒有落實沒有落實沒有落實沒有落實沒有落實沒有落實沒有落實沒有落實沒有落實沒有落實沒有落實沒有落實沒有落實沒有落實沒有落實沒有落實沒有落實沒有落實沒有落實沒有落實沒有落實沒有落實沒有落實沒有落實沒有落實沒有落實沒有落
transcript.whisperx[136].start 4817.895
transcript.whisperx[136].end 4822.098
transcript.whisperx[136].text 他的斟酌的時間也不夠所以這可能也是一個問題所以這就是那個什麼環保署這邊你追查說為什麼他怎麼會說這個部分地方政府他沒有按時懲罰署長你可不知道這個運用多大像你剛才說的
transcript.whisperx[137].start 4837.657
transcript.whisperx[137].end 4840.339
transcript.whisperx[137].text 營養兩千多名 你覺得各行各業都要營養到賣保安的 賣農場的 賣安全的 主要有地貨的地方台灣人都愛吃溫泰的 溫泰的煮得更香結果你看現在 現在在澳
transcript.whisperx[138].start 4860.66
transcript.whisperx[138].end 4861.782
transcript.whisperx[138].text 你有看到來你有看到一個做生意的人他說要配合我們政府
transcript.whisperx[139].start 4869.099
transcript.whisperx[139].end 4872.982
transcript.whisperx[139].text 所以 署長 他最危險 先說感謝一路支持我的人你如果再倒來想是不是我們要感謝這些做生意的人 支持我們中央的政策你看到現在 信心的信心 沒買沒買署長 這不是兩千億而已
transcript.whisperx[140].start 4896.664
transcript.whisperx[140].end 4900.41
transcript.whisperx[140].text 這是非常嚴重的 你看他自己在當時 你看他用一個暫停箭 署長 我們要同理心
transcript.whisperx[141].start 4913.527
transcript.whisperx[141].end 4922.392
transcript.whisperx[141].text 但不對 但做得不好的地方政府 人不夠積極我們中央是不是要協助他們是 報告委員這個部份已經在研究這個法律的公佈 說我們要進行公平民對參選的報酬沒有沒有不是 這個法律會提出方案經濟部就會提出方案對我們
transcript.whisperx[142].start 4941.321
transcript.whisperx[142].end 4949.164
transcript.whisperx[142].text 攤商的補助補貼獎勵措施經濟部已經在跨部會會議的時候已經有這樣的共識跟研擬了所以這禮拜經濟部會提出來 市長我告訴你寶祖的寶祖像嘉義市我剛才有說的你如果看到那裡的土地那裡的董事你如果看你如果看你如果看
transcript.whisperx[143].start 4971.254
transcript.whisperx[143].end 4971.816
transcript.whisperx[143].text 來拗一張你看都沒有在做
transcript.whisperx[144].start 4975.865
transcript.whisperx[144].end 4983.646
transcript.whisperx[144].text 包括要報賣包括在那裡做零工的都沒辦法直接投入所有應用的宣洩的部分在這禮拜公佈的時候對應一定有獎勵的措施啦所以跟委員報告有獎勵的措施市長本身跟你說的你們要回去研究不是賣地馬的應用很大喔再來所有的做生意的人
transcript.whisperx[145].start 5005.816
transcript.whisperx[145].end 5009.539
transcript.whisperx[145].text 都做沒辦法做生意這也影響很大這後續你要去研議好對不對所以說市長在這裡本身要跟你說我們你剛才說的到目前為止是跟台中市長
transcript.whisperx[146].start 5025.748
transcript.whisperx[146].end 5028.35
transcript.whisperx[146].text 有問題 是 結果有問題的時候我每天來你們討資料 每天關心 關心到現在你們說的地方 也有兩個的所在 厭懷有養性的 說實在 署長 也是他這間我都不知道他這間啦 自己都沒注意的聽結果不是他這間的問題
transcript.whisperx[147].start 5052.23
transcript.whisperx[147].end 5055.271
transcript.whisperx[147].text 你們的噴 政府的噴在那裡我們萬一有在那裡 太沙地或什麼地自己吃下去淘汰你這是親親喪禮所以這不行 這絕對不行 要禁止絕對不行 現在都噴在這裡環境部已經加強這個部分是 市長今天我是怎麼說得這麼氣憤
transcript.whisperx[148].start 5082.058
transcript.whisperx[148].end 5082.341
transcript.whisperx[148].text 因為我相信台灣人
transcript.whisperx[149].start 5084.793
transcript.whisperx[149].end 5086.874
transcript.whisperx[149].text 吃豬肉、吃牛肉、吃雞、吃蚵仔所以在這個過程當中未來雞、蚵仔、牛肉長大的時候你們要怎麼去處理販售的環境、的經濟你們都要去保持好,我們都已經在處理了不用緊張,自己怎麼做就怎麼做是,是,是以上好,謝謝
transcript.whisperx[150].start 5118.199
transcript.whisperx[150].end 5131.387
transcript.whisperx[150].text 謝謝美惠美惠 趙薇確實這個來自基層的聲音真的被聲音嚴重這部份相關的部份今天改觀了那接下來我們請麥玉珍委員發言謝謝主席有請農業部還有關務署
transcript.whisperx[151].start 5147.006
transcript.whisperx[151].end 5148.667
transcript.whisperx[151].text 請以上單位想要請教一下目前這起就是非洲豬瘟的病毒源頭查到了嗎
transcript.whisperx[152].start 5168.616
transcript.whisperx[152].end 5178.722
transcript.whisperx[152].text 原統目前還在調查中因為在台中市政府他們所提的這個疫調的一個報告裡面還是都沒有交代清楚所以下個階段從今天起我們這個我們要問的是你們中央的事情專家會議結束
transcript.whisperx[153].start 5187.387
transcript.whisperx[153].end 5190.59
transcript.whisperx[153].text 依照農業部的指定的防疫SOP中央與地方應該依序啟動哪些通報還有採樣隔離與回報的程序才要請教我們的台中這個案例的通報流程是否有哪一些環境沒有依據SOP的執行
transcript.whisperx[154].start 5213.964
transcript.whisperx[154].end 5233.73
transcript.whisperx[154].text 我們檢視了他們目前的作為上來講那台中市政府在於我們警示系統異常然後通報的時候他們就第一時間的時候的回報的系統其實不是很完整而且沒有提高警覺那他們沒有照SOP的執行是這樣子的意思嗎應該是說他們的這個
transcript.whisperx[155].start 5239.011
transcript.whisperx[155].end 5265.477
transcript.whisperx[155].text 對 應該是誤目前如果推估起來應該是誤判啦因為確實它是呈現的是陽性但是過去它可能我們大家是當作是一般的傳染病一般的疾病在做處理是好 雖然你們是監督的單位我們要來監督你們你們要監督的單位你們的工作既然防疫SOP的運作
transcript.whisperx[156].start 5267.406
transcript.whisperx[156].end 5281.842
transcript.whisperx[156].text 有部分正常有部分就覺得不正常是你們就是我們要今天要來問你們的你們要監督的工作啦所以你剛才說的嘛防疫做一直都有持續
transcript.whisperx[157].start 5282.603
transcript.whisperx[157].end 5292.65
transcript.whisperx[157].text 但是有一些你們覺得說沒有監督不好是不是台中的問題是你們的監督是台中的問題所以你的意思是說你們的SOP的執行的監督都很好了是不是他應該是要依照我們的一般的SOP的流程在走所以你就是說有持續嘛所以我們要確認一下說你這些的前期防護措施是近三年來有沒有出現
transcript.whisperx[158].start 5312.583
transcript.whisperx[158].end 5321.294
transcript.whisperx[158].text 地檢的情形我們想要知道的不要只說台中怎麼樣台中怎麼樣我們要問的是我們的中央的監督
transcript.whisperx[159].start 5325.325
transcript.whisperx[159].end 5334.789
transcript.whisperx[159].text 我們都有我們的流程就是不管在肉品上在豬場上他的一般的防疫的以及我們的監控的你說的你們這是說這三年來沒有出現一些就是遞減的情形講得很好如果有的話比如說我們的宣傳的次數
transcript.whisperx[160].start 5348.434
transcript.whisperx[160].end 5363.335
transcript.whisperx[160].text 還有邊間查檢的件數 抽查的頻率這些的指標是增加還是持平 還是說逐年減少能否提供具體的數據給我呢
transcript.whisperx[161].start 5366.101
transcript.whisperx[161].end 5367.842
transcript.whisperx[161].text 不能用講的 不能說電視的講 報紙的講 白人的講這樣來講 不能這樣 要有具體的是 我們會把我們的次數包括經費的部分也會來反映不過確實是經費上是有有有刪減那事實上但是我們也沒有疏忽啦就是依照我們現有的我們現在要的就施刷次數
transcript.whisperx[162].start 5391.903
transcript.whisperx[162].end 5392.724
transcript.whisperx[162].text 還有監數 還有就是頻率這一些要有數據 具體的數據不要再頭腦裡面都很積極這個是你們該做的工作 不要再講這些了
transcript.whisperx[163].start 5407.752
transcript.whisperx[163].end 5411.855
transcript.whisperx[163].text 這個是有具體的嘛所以你說事後就會提供是嗎所以現在你沒有具體的這個工作我們要執行我們要執行我們要做功課你來背執行你都不做功課你都要提供資料而已嗎我們要的是你要了解所以最近網路
transcript.whisperx[164].start 5428.348
transcript.whisperx[164].end 5438.412
transcript.whisperx[164].text 網路上也有很多側翼幫你們宣傳因為立法院善預算所以防疫的宣傳不足才導致破口請問一下你們有觀察到哪個部分防疫的宣傳確實不足嗎還是說印了太少我們的宣傳彈還有海報廣告
transcript.whisperx[165].start 5455.441
transcript.whisperx[165].end 5457.642
transcript.whisperx[165].text 因為預算有停止嗎還有我們邊境的積查抽查旅客的行李包裹這個頻率有沒有因為預算刪除降低了呢報告委員我們該做的都是有去做而且這個的整個防疫的工作其實是沒有降低的
transcript.whisperx[166].start 5481.428
transcript.whisperx[166].end 5505.696
transcript.whisperx[166].text 好都沒有降低嗎沒有降低的不管我們是中央跟地方所以你們做得很好嗎不是做得很好就是大家都知道因為畢竟這已經守護了7年所以有他的一定的基本的流程但要注意的是像包括他的監測這些都照我們原來的年度目標在走所以這些就是你們的這些側翼就是你們每天都在講預算刪除我們的預算
transcript.whisperx[167].start 5508.977
transcript.whisperx[167].end 5513.519
transcript.whisperx[167].text 六億多三兩千還有五億多所以我們就是做不了了所以來再來呢我們在網路特別查到就是防疫署的官網裡面的宣傳影片上架已經五年了到現在只有三到四百個觀看率五年平均約五
transcript.whisperx[168].start 5538.05
transcript.whisperx[168].end 5540.351
transcript.whisperx[168].text 四五天只有一個人觀看這樣子叫做做得很好很有效率是嗎所以甚至我們在越南版的非洲非洲主義的宣傳的動畫還變成私人的影片沒辦法看這樣子的請教一下這樣的預算做宣傳很有效率嗎
transcript.whisperx[169].start 5569.363
transcript.whisperx[169].end 5574.225
transcript.whisperx[169].text 5億多 上了2000萬你們做這個很有效率所以你們要持續在做報告委員您檢視的是108年可是以今年來講我們的宣傳影片在今年的暑假放了一支放了一支現在網路上看到的就是這個數據不是我們是7年前的是現在的現在網路搜尋的我沒有在7年前當立委這個是現在這是108年的
transcript.whisperx[170].start 5598.634
transcript.whisperx[170].end 5605.157
transcript.whisperx[170].text 2008年的你們要做這個影片到現在就是這個數據我們有新的新的版本新的版本我們沒有看到看到網路就是這個好那我們可以提供新的版本給委員表示你們在宣傳不夠網路才沒有看到嘛我們看到的是這個看到就是
transcript.whisperx[171].start 5615.768
transcript.whisperx[171].end 5620.51
transcript.whisperx[171].text 就是這樣子的一個問題所以我們非洲族人一直在我們也肯定我們的農業部還有關屋署這幾年守住防線的努力但我們注意到的是說我們行政部門每次出事就先喊說要團結
transcript.whisperx[172].start 5640.2
transcript.whisperx[172].end 5642.941
transcript.whisperx[172].text 接著又要說車一一起就是怪我們的立法院怪這野黨所以我們這樣的操作防疫真的有幫助嗎真的沒有幫助我們要的是效果我們要
transcript.whisperx[173].start 5655.846
transcript.whisperx[173].end 5661.828
transcript.whisperx[173].text 提出的問題要解決問題不是說你們都是要去怪罷人罷人的事情不是你們的事情沒有啦委員我們坐地沒有所以我們第一時間的時候大家一起看要怎麼來解決這個問題而且都緊急措施都出來所以我們大家的影響都沒有用到一點點所以剛才我才說你不要再去講說什麼善意善事實上沒有沒有這絕對也不是我們部門
transcript.whisperx[174].start 5684.136
transcript.whisperx[174].end 5686.637
transcript.whisperx[174].text 也不能怪說立法院在野黨我們是為了要執行我們的監督權但是委員預算充足當然我們會比較好做因為我們時間的關係我們是監督你們你們要監督地方所以我們要要求你們的預算
transcript.whisperx[175].start 5707.606
transcript.whisperx[175].end 5711.348
transcript.whisperx[175].text 很多的你們的預算拿過來我們要監督要來去說我們要動預算希望你們要把事情做好但是從5月份我們已經解凍了到現在所以你們有沒有加強這個宣傳嗎這個才是我們想要的不要再去講預算也沒有問題是預算的問題所以你們這講的做得很好
transcript.whisperx[176].start 5735.097
transcript.whisperx[176].end 5737.379
transcript.whisperx[176].text 所以呢我們這邊最後因為時間的關係我們要強調的防疫是行政部門的責任也是我們的人民的事情不分藍綠所以我們不分中央或地方我們要在野黨的
transcript.whisperx[177].start 5754.189
transcript.whisperx[177].end 5757.55
transcript.whisperx[177].text 凍結我們的預算是要行政單位要檢討制度因為我們從基層來的我們看到你們的預算一張一千萬兩張兩千萬基層的一本厚號才五萬三萬所以我們真的看了就是很難過啦確實要有效益啦所以不只就是防疫真正的檢討是說我們的執行的機制還有
transcript.whisperx[178].start 5784.847
transcript.whisperx[178].end 5790.869
transcript.whisperx[178].text 制度的落動不是拿政治口水轉移焦點希望行政團隊要停止帶風向實際盤點這次的破口讓我們的人民安心也讓我們台灣重新站回非一的防線上這個才是你的工作目標才能達到執行的效率
transcript.whisperx[179].start 5812.378
transcript.whisperx[179].end 5817.162
transcript.whisperx[179].text 我們都是這樣做 報告委員 我們也都是這樣做好 這樣做要有數據啊我問的這些數據 這個實體怎麼應做要實際的給我 不可以這樣用說的說也都是講空話 又沒有實體的數據 也沒有實體的做法我們要的是執行力 謝謝謝謝麥玉珍委員 那這邊也請相關部會把資料趕快提供給委員這邊
transcript.whisperx[180].start 5842.534
transcript.whisperx[180].end 5844.396
transcript.whisperx[180].text 現在我們請徐玉 曾文發言謝謝主席我們請警政署張署長 移民署林署長 房檢署杜署長 公務署彭署長請以上列席
transcript.whisperx[181].start 5875.731
transcript.whisperx[181].end 5896.756
transcript.whisperx[181].text 好各位署長好我想其實這一次非洲豬瘟的問題其實都可以看到其實最大的問題可能就是在邊境執法的這個漏洞那當然我想在幾年前其實我們就已經宣布禁止從國外的網購出肉或肉品寄送入境對不對這個是屬於哪一位這邊負責的
transcript.whisperx[182].start 5901.528
transcript.whisperx[182].end 5928.508
transcript.whisperx[182].text 報告委員這個豬肉跟含豬肉的製品都是禁止輸入的是幾年前宣布的這個政策是農業部那邊訂定海關是執行的好那為什麼最近有民進黨的立委說是時候禁止淘寶等中國電商寄送肉製品到台灣有這個可能性嗎這已經執行非常多年了所以說其實早就禁止了嗎根本沒有這個問題
transcript.whisperx[183].start 5929.557
transcript.whisperx[183].end 5957.27
transcript.whisperx[183].text 事實上本席也有去到淘寶的網站點進去要買中國的豬肉事實上他是完全沒辦法買的他就告訴你中國是禁止這個輸入肉製品的所以我不是想說這個民進黨的立委他是有特殊的管道知道政府並沒有要嚴加的這個查緝網購的食品還是說本來就有很多的違規的部分在初檢的階段就已經被錯放了
transcript.whisperx[184].start 5958.406
transcript.whisperx[184].end 5973.198
transcript.whisperx[184].text 請問一下署長有這個可能嗎報告委員因為從我們的查獲的統計數字來看大概去年有1100多件那今年直到現在有850件這是海關查獲的一個部分在邊境把手上查獲
transcript.whisperx[185].start 5974.076
transcript.whisperx[185].end 5992.013
transcript.whisperx[185].text 所以大部分都是來自旅客啦旅客大概有占六成那郵包的部分大概會占三成左右所以其實關務署是很嚴格的在執行這樣子的一個事實上我們常出國搭機的時候都感受到其實關務署這邊是很非常的嚴格在執行那所以說
transcript.whisperx[186].start 5993.074
transcript.whisperx[186].end 6020.907
transcript.whisperx[186].text 我想這個民進黨的立委不該造謠的就不要亂造謠不要老是用這樣子一個方式去讓大家覺得讓民眾恐慌或者是說這個什麼拼多多淘寶都是這個豬瘟的最大破口其實現在大家擔心的就是說因為從境外移入的時候就他們旅客剛剛講六成是旅客帶進來的那在這個查紀的過程中請問一下這個我們經由這個X光機的這個查驗有辦法真的百分之百的查驗到嗎
transcript.whisperx[187].start 6022.284
transcript.whisperx[187].end 6030.114
transcript.whisperx[187].text 報告委員我們看X光機的話是利用它的顏色密度以及形狀那這六七年來我們都有建立資料庫那我們對同仁X光的這個判讀都有做訓練也有分級我們有分初級中級高級
transcript.whisperx[188].start 6038.772
transcript.whisperx[188].end 6059.527
transcript.whisperx[188].text 那受過這些認證的都有400所以原則上在你們在做這樣的查驗其實是可以達到最高的效果然後我們也有經驗好那請問一下杜署長就是還有彭署長就是說我們邊境防疫的第一線人員像防檢犬導犬員跟X光查驗員的人力跟防疫犬有沒有缺口
transcript.whisperx[189].start 6061.894
transcript.whisperx[189].end 6084.153
transcript.whisperx[189].text 其實如果說能夠再調高的話增加的話其實是有幫助的是有幫助的但以目前來講的話我們每年的查驗從海關這邊送過來的調查成案的部分那大概從12年到14年採取的這個案件所以這個部分目前聽起來是有缺口的嘛那要怎麼補強呢
transcript.whisperx[190].start 6086.614
transcript.whisperx[190].end 6111.126
transcript.whisperx[190].text 我們在這個保全的部分那這個的部分其實也是落實在做啦那現在就是關務署的部分我們也希望說能夠在旅客的這個查驗的那個部分那可以再提高他的這個檢驗的一個次數所以關務署署長剛剛那個防檢所說要提高查驗次數你覺得是這個是主因嗎
transcript.whisperx[191].start 6113.149
transcript.whisperx[191].end 6127.743
transcript.whisperx[191].text 我們現在因為要加強查核的一個力度那我們有要求我們這個同仁人工查驗的部分要提高一定的比例目前都雖然都經過百分之百的X光但是就人工查驗的部分我們要求我們已經都達到人力的一個極限了
transcript.whisperx[192].start 6132.08
transcript.whisperx[192].end 6150.877
transcript.whisperx[192].text 極限就表示人力不足嘛所以這個部分你們有跟這個行政院提出比如說行政部啊每年我們都會檢討我們的人力跟財政部是不是需要跟行政院這邊來要求我們也都會跟人總來面都有要求那就是請行政院要針對這個部分要好好的來去審視我們的基層人力不足的問題喔
transcript.whisperx[193].start 6151.758
transcript.whisperx[193].end 6170.087
transcript.whisperx[193].text 那當然我也要請教一下警政署長就是針對肉品偽報跟非法攜帶我們剛剛也看到說有一些是在夜市我們可以看到有一些可能是非法攜帶在販售的那請問針對這個部分我們警政署跟關務署跟海巡署是不是有情資共用的平台那針對這樣子的一個案件不管是
transcript.whisperx[194].start 6170.988
transcript.whisperx[194].end 6189.946
transcript.whisperx[194].text 這個跨境電商或快遞案件建立及時追蹤系統那你們這三年有沒有這個查獲違規肉品的件數跟趨勢是不是有下降我們這個警視署的部分就是配合灌入署還有這個主管機關對於這個邊境的查驗那這五年來大概查了1593件這個豬肉大概2000公斤左右這個就是配合
transcript.whisperx[195].start 6194.79
transcript.whisperx[195].end 6206.921
transcript.whisperx[195].text 那請問你們有沒有一個情資公用平台可以互相來要不然的話大家都在做一樣的事情那可能會很麻煩我們的工作是跟海關在一起的一起看的比如講像那個那我指的是比如說像夜市喔夜市的這個部分大概就是配合聯合稽查小組一起去配合因為我們要辨別這個部分就是由主管機關來做來做一個有聯合小組來做這件事情
transcript.whisperx[196].start 6222.114
transcript.whisperx[196].end 6238.38
transcript.whisperx[196].text 那再請教一下這個杜署長就是說這一次這個在107年面對這個中國大陸的這個非洲豬瘟的疫情的時候當時雲林縣張縣長是全面禁止處於養豬那時任行政院的我們現在賴清德總統
transcript.whisperx[197].start 6239.534
transcript.whisperx[197].end 6252.242
transcript.whisperx[197].text 院長他說因為大多數的縣市長都反對所以他沒有禁用廚餘養豬可是如果現在看起來的話如果七年前就可以禁用廚餘養豬的話現在其實就沒有這個問題因為我剛剛聽了其實不管各位署長的講法其實邊境管理事實上大家都盡了最大的努力重點是廚餘養豬因為你只要不用廚餘養豬就不會有這個問題了那當時賴總統說
transcript.whisperx[198].start 6267.254
transcript.whisperx[198].end 6283.962
transcript.whisperx[198].text 不用處理養豬是因為大部分的縣市都反對那請問一下現在一般性補助款大部分的縣市也都反對啊希望趕快補給他們啊可是在總統也沒說因為大部分的縣都反對所以趕快一般性補助款要還給地方所以針對這個部分一農業部的專業來說覺得該不該禁用處理養豬
transcript.whisperx[199].start 6287.738
transcript.whisperx[199].end 6292.722
transcript.whisperx[199].text 我覺得每個時代有它的時空背景不過以現在來講以現在上來講那這個廚餘的禁止與否其實是地方政府的權責所以現在政府是可以禁止的其實如果中央嚴格要求的話以全國一致性事實上金融廚養豬才是這一次我可以解決
transcript.whisperx[200].start 6306.954
transcript.whisperx[200].end 6322.756
transcript.whisperx[200].text 非洲豬瘟最大的一個方向才對目前已經我們在跨部會的協調中那重點是還是地方以現在來講譬如雲林也好花蓮也好還有高雄市都是全面禁止廚藝的縣市所以如果說地方政府的話
transcript.whisperx[201].start 6323.277
transcript.whisperx[201].end 6340.643
transcript.whisperx[201].text 依照自治的一個精神是可以禁止全面的這個其實如果中央要求的話你說地方禁止當然地方有事實上我跟你講要禁用廚餘養豬是非常的困難需要花很多的時間但雲林做得到相信全國都做得到所以對所以我覺得這個可以讓其他縣市來分享絕對做得到但要中央一致的一個法令
transcript.whisperx[202].start 6347.541
transcript.whisperx[202].end 6363.082
transcript.whisperx[202].text 這樣的地方才不會無所適從那這個部分請這個我們署長要帶回去那那是不是各位請回喔那不好意思主席再給我一分鐘因為剛剛我有讓所有的署長大家有充分的去回答我要請管主委海務委會管主委跟海巡署張署長
transcript.whisperx[203].start 6369.255
transcript.whisperx[203].end 6384.086
transcript.whisperx[203].text 主委好主委好主委我想請教一下因為最近在10月23號我們又在馬祖的北竿的沙灘發現有死亡的病豬那當然我們在這邊海漂的豬其實常常都發現那剛剛我也聽主委講說
transcript.whisperx[204].start 6385.014
transcript.whisperx[204].end 6405.359
transcript.whisperx[204].text 基本上你們都把它當視為是非洲豬瘟的陽性而去做提早的處理那但是現在這一件喔它是通經由通報海巡署才知道所以說表示是不是我們的這偵查系統跟人力配置都不足所以常常都是由地方通報那我們海巡署才知道而去做處理
transcript.whisperx[205].start 6406.594
transcript.whisperx[205].end 6434.025
transcript.whisperx[205].text 跟委員報告基本上官民聯防是整個海防當中的一部分那我們巡邏的時候我們會發現如果民眾看到民眾也都會知道通報目前以通報的跟我們主動發現的比例大概是多少我來統計一下數字我們會後統計給委員好不好我現在要主要要跟主委提醒的就是
transcript.whisperx[206].start 6434.665
transcript.whisperx[206].end 6450.406
transcript.whisperx[206].text 因為我們現在看起來我們的人力確實有所不足所以在這個整個的這個偵查的系統會有這樣子的一個漏洞那也因為這樣子一個漏洞有可能造成一個破口所以今天在本席在這邊特別要跟主委提醒的就是說
transcript.whisperx[207].start 6451.897
transcript.whisperx[207].end 6461.265
transcript.whisperx[207].text 針對這個人力的不足事實上是應該要跟行政院這邊來去要求我們人力不足應該要補足包括說我們是不是有固定的SOP把這個檢體跟移送的過程應該都有固定的這個部分百分之百
transcript.whisperx[208].start 6466.89
transcript.whisperx[208].end 6487.67
transcript.whisperx[208].text 這個部分真的是百分之百的滴水不漏我們從出去的時候穿防護衣一到的時候馬上會控制現場因為環境的傾銷很重要我們會把那個防護線拉起來控制現場以後立刻就請這個防檢局到現場所以一定都通知地方政府那檢體呢 檢體怎麼移送
transcript.whisperx[209].start 6490.453
transcript.whisperx[209].end 6510.641
transcript.whisperx[209].text 照防檢的程序會帶回去就做檢體那每一個案呢我們一定是出報續報到截報一定追蹤到檢體到底是陰性還是陽性最後請一下張署長請教一下張署長就是署內目前就執勤的艦艇按計的監控系統跟檢疫的器材是否足夠應付當前的一個勤務就是執勤的艦艇還有按計的監控系統跟檢疫的器材是否
transcript.whisperx[210].start 6519.963
transcript.whisperx[210].end 6544.295
transcript.whisperx[210].text 足夠應付當前的勤務各位報告所有艦艇的監控系統跟偵測系統是夠的但是檢疫的部分不是我們海巡組來負責那請看一下這篇報導就是審計部跟基層你們的這個艦艇的缺人員都有提到其實現在海巡艦艇是人力不足的那所以說這個部分到底是什麼樣的原因
transcript.whisperx[211].start 6545.544
transcript.whisperx[211].end 6570.063
transcript.whisperx[211].text 下請沒有辦法上達還是你們不了解事實上整體艦艇的人員是運用人數是不夠的跟委員報告我們艦艇的那個人員來是夠的那主要的那就是你們的調度有問題運用有問題有一個空窗期是因為招生跟特考進來進入的時間他大概有三到六個月的空窗期因為他們進來以後要再受訓然後再到艦艇上去服務我想請主委跟署長要正視這個問題因為不管是審計部不管是基層的這個我們的同仁
transcript.whisperx[212].start 6573.826
transcript.whisperx[212].end 6592.375
transcript.whisperx[212].text 都有發出這樣的警訊所以針對這樣子的一個人力的不足跟人力的調配請要好好的檢討相關的問題那也希望說會後也給我相關的資料那當然我想最後要跟各位報告就是說其實這一次的疫情啊如果不幸擴大的話可能會癱瘓的是我們2000萬產值的養豬產業所以說非同小可也是希望大家在每一個關節裡面大家都能夠一起共同來防疫讓我們台灣可以繼續更好
transcript.whisperx[213].start 6602.423
transcript.whisperx[213].end 6610.09
transcript.whisperx[213].text 在這邊也感謝各位謝謝謝謝徐毅臻委員謝謝列席的官員接下來我們請劉許廷委員謝謝主席我們農業部房檢署杜署長 管務署彭署長還有海委會管組委好 請移上官員列席
transcript.whisperx[214].start 6633.237
transcript.whisperx[214].end 6661.185
transcript.whisperx[214].text 大家都辛苦委員好來我先問一下杜署長杜署長你今天好像很可憐喔這個要講一講公道話希望大家共同面對防疫的重大挑戰結果好像不分朝野都要砲轟你一下對不對這個我希望你一本初衷啦其實你第一個回答書校會委員職員回答本來就很好嘛就四評八聞的講大家都有一定的工作跟分工那大家都很努力而這中央地方共同的責任
transcript.whisperx[215].start 6661.753
transcript.whisperx[215].end 6686.639
transcript.whisperx[215].text 剛剛很多民進黨的委員都提說這個是甚至都要逼你講出就是台中市政府防疫不力這都很正常 這是口水嘛但是我要問的是非洲豬瘟它會平白無故在台灣境內產生嗎不會不會嘛 對不對它一定是境外移入那以署長的了解境外移入有哪幾種渠道就是它怎麼進來的我們也有在研析過當然從它的管道上來講
transcript.whisperx[216].start 6687.583
transcript.whisperx[216].end 6716.007
transcript.whisperx[216].text 當然機場會是一個 港口也是一個那包括到說我們現在的移工 外勞那這些等等還有產品我這樣講 署長你聽一聽第一個叫旅客夾帶嘛就不管是坐船的坐飛機的等等偷偷帶進來的嘛叫旅客夾帶第二個就是所謂的走私嘛這漁船的走私有的沒的夾也是一種夾帶的行為但它量比較大對不對 也有講走私第三種叫郵寄嘛
transcript.whisperx[217].start 6716.857
transcript.whisperx[217].end 6740.935
transcript.whisperx[217].text 對不對 大概就是這三種有沒有脫離這三種的範疇大體上應該不脫這樣的範疇如果有你可以補充沒有關係那我剛剛也聽了很多委員在問包含馬市長講旅客夾帶我想我們自己有時候常出國回來這該到位的也都有到位啦我們該查都有查都有過X光機這我想大家都有經驗所以我今天的重點不是談旅客夾帶我請教一下館主委
transcript.whisperx[218].start 6741.96
transcript.whisperx[218].end 6758.207
transcript.whisperx[218].text 你剛剛講的都問到你的時候你都講海漂豬你們一定檢驗我想這個很OK嘛大家都希望從嚴處理因為那個死在那個地方你當然要檢驗嘛對不對但問題是海巡的另外一個重要任務也是查其走私嘛那最近這段時間有沒有查其到豬肉走私的狀況有沒有一些數據可以跟大家報告一下呢
transcript.whisperx[219].start 6759.247
transcript.whisperx[219].end 6780.693
transcript.whisperx[219].text 農漁產品比較多大概4萬多公斤的農漁產品的走私我們今天就討論豬肉而已豬肉的部分我們沒有4萬多公噸的農漁產品然後沒有查到任何的豬肉公斤不好意思公斤修正一下但沒有查到走私的豬肉我們過去曾經有查到的是譬如說毛肚
transcript.whisperx[220].start 6781.133
transcript.whisperx[220].end 6797.887
transcript.whisperx[220].text 整船整船的忙碌我只問主委一個牛肉的製品是比較多尤其是牛雜你們都已經盡了最大的努力我不會否定海軍同仁的辛苦但是主委你可以掛保證說這就是全部的走私了嗎
transcript.whisperx[221].start 6799.034
transcript.whisperx[221].end 6816.73
transcript.whisperx[221].text 委員這個問題其實大家都知道答案我們信全力你全力以赴但是再怎麼樣防堵都不可能因為這東西實在是太你不可能所有的人通通一天到晚把我想每一個管道的問題是一樣的每一個管道的問題是一樣的我們現在要聽的就是實話嘛這我們希望海運署就加強把控啦尤其是針對這種可疑豬肉的這個是最上游
transcript.whisperx[222].start 6822.356
transcript.whisperx[222].end 6850.218
transcript.whisperx[222].text 基本上管制到豬場的那個部分的管理恐怕也是最關鍵但是我們每個層面我們都盡全力把它做到最好各知其職你就收好你的海上避免走失豬肉這本期要做一下提醒我們再回到杜署長第三個關務署一起好不好這也是本期今天要特別去提醒的其實就是郵寄這段時間我們都委員講說禁止淘寶或什麼東西我們從什麼時候開始就禁止了中國大陸地區的豬肉製品輸入台灣107年
transcript.whisperx[223].start 6852.059
transcript.whisperx[223].end 6860.281
transcript.whisperx[223].text 107年嘛對不對這其實很清楚嘛那這個署長跟我們分享一下為什麼違規輸入啊就郵寄入境跟旅客夾帶的罰則分別是什麼
transcript.whisperx[224].start 6862.351
transcript.whisperx[224].end 6885.216
transcript.whisperx[224].text 目前我們只要是有豬肉的製品一定是20萬起跳20萬起跳 這叫夾帶入境嘛就機場沒看那宣導影片也拍很多是不是講說只要豬肉被抓到至少罰20萬最高罰100萬嘛對不對 這叫夾帶入境好 郵寄入境的罰則是什麼郵寄入境的部分也是一樣對 只要豬肉產品也都是20萬起跳一定會罰嗎真的 因為這個也牽扯到說
transcript.whisperx[225].start 6891.666
transcript.whisperx[225].end 6901.096
transcript.whisperx[225].text 整個追查的部分是有比較困難比較困難的地方在哪裡來 我今天就要問這個今天我們要談制度補破網我今天就這一件事而已
transcript.whisperx[226].start 6903.277
transcript.whisperx[226].end 6929.831
transcript.whisperx[226].text 是跟委員報告因為這個郵包的部分他這個寄進來的人跟實際上收貨的人其實在全球都是一樣常常是對不起來的所以我們行政調查的案件到最後會承擔到裁罰的案件其實相對的是比較少的好講得真好這個郵寄郵遞寄送的輸入狀況從有非洲族恩到現在由你頒布重罰的條款到現在你抓到多少案子裁罰了多少人有沒有數據做一下整理
transcript.whisperx[227].start 6934.065
transcript.whisperx[227].end 6959.563
transcript.whisperx[227].text 是 郭委員報告齁這個郵包的部分我們攔截到就是一隻豬肉產品然後被我們攔下來的被海關攔下來移送到房間屬的大約有1000案但到最後成功裁罰的只有9個就是9個案件人1000個案子裡面只有9個案子被裁罰很好 這就是我今天重點來脫影片秀出來這個動物傳染病防治條例是法律的層級但是裁罰基準應該是行政命令如果本席沒有了解錯誤
transcript.whisperx[228].start 6960.442
transcript.whisperx[228].end 6983.268
transcript.whisperx[228].text 現在狀況是這樣旅客夾帶進來至少罰二十萬但是問題是你郵寄寄送書我們先不要講說你追溯溯源很難罰你竟然還有後門條款這個第四點你可以看投影片上違反本公告者由輸出入動物檢疫機關一動物傳染病防治條例四三條第八款規定採取收件人但收件人非輸入人或首次輸入非故意者不予處罰
transcript.whisperx[229].start 6985.133
transcript.whisperx[229].end 6998.7
transcript.whisperx[229].text 誒本身要抓郵包已經很困難然後你還開一個首次非故意不予裁罰那難怪你一千多件掌握你只有九件裁罰報告委員物跟人要分開處理物一千件全部燒毀
transcript.whisperx[230].start 6999.898
transcript.whisperx[230].end 7003.623
transcript.whisperx[230].text 人的處罰因為還是要有事證可以追查的到所以這個地方是有他的困難度但物是全部都燒毀那當然你物本來就都要燒毀嘛所以沒有一件事流入但是問題是這樣嘛我們為什麼要罰比如夾帶入侵要罰20萬其實叫嚇阻嘛
transcript.whisperx[231].start 7019.782
transcript.whisperx[231].end 7046.9
transcript.whisperx[231].text 也就是說我不要讓這些人起心動念說我想要幹這個事情嘛那同樣今天一樣物物當然抓到就沒收嘛任何夾帶走私抓到反而就要沒收反而銷毀對不對但你如果不重罰你不加大裁罰力道然後讓裁罰的執行性可以增加的話那不是大家還是會想說我試一下嗎反而了不起要嘛他抓不到我他抓到我他也不見得證明我可以故意所以我就記吧那是不是包裹就多了包裹多了你邊境檢驗查核的壓力就大了嘛
transcript.whisperx[232].start 7049.962
transcript.whisperx[232].end 7060.249
transcript.whisperx[232].text 我們現在 對 就針對委員所講國際郵包或者是快遞這個部分那也是關務署在檢視整個系統從登記好 來來來 關務署你贊不贊成把這個條款廢掉其實就這個問題嘛我們今天在思考制度上要什麼補破網要加大裁判力道 要把它變嚴格其實就這個問題 你覺得應該把它廢掉報告委員 這不是我們關務署的權責廢掉對你們有沒有幫助嘛
transcript.whisperx[233].start 7079.774
transcript.whisperx[233].end 7108.388
transcript.whisperx[233].text 我們都是遵守你們裡面內部因為都不是你們的權責你們也不會討論這個事所以要到立法院討論嘛對不對你們都在的時候我們當場講一講對不對跟委員包括我們在郵包那邊今年都已經查獲到286件了是嘛還是很多對不對那如果廢掉然後變成說我只要一抓到相對來講我比較容易裁罰成功會不會有一點嚇阻效果當然重罰有嚇阻的效果啦但是就是說重罰你還是要有證據證明說他是故意走私這樣的一個行為
transcript.whisperx[234].start 7109.315
transcript.whisperx[234].end 7128.314
transcript.whisperx[234].text 不是 我現在講非故意拿掉 我不管你故不故意啊你只要進來我就是罰嘛對不對你現在就說 因為我多一關要證明你是故意還是非故意 我就更難罰嘛我現在把這條款拿掉錢包的部分 剛剛提到的就是說常常這個收件人並不知道寄件人為什麼會寄給他 他可能都不知道所以要罰到
transcript.whisperx[235].start 7129.692
transcript.whisperx[235].end 7153.801
transcript.whisperx[235].text 這個收件人是有他的困難因為他可能是無故意或過失署長我就只問你把這個標準往上提讓他變嚴格即便很有可能啊會造成另外一波有一些人會認為自己被錯殺對不對但是我們在防疫的時候現在大家都在討論要不要再把破網補起來嘛這樣子對你降低你邊境的檢驗的那個壓力有沒有幫助嗎任何的重罰對我們都有幫助很好謝謝來這個農業部要不要考慮把它廢除
transcript.whisperx[236].start 7160.376
transcript.whisperx[236].end 7173.886
transcript.whisperx[236].text 我想這個有不足的地方或者是應該修法的地方這個我們會著手來處理但我在這裡還是要說明說這一千的違規的物品都銷毀了我知道但我現在想是源頭嘛對人的處罰不管他是夾帶還是他是郵寄都應該想辦法讓他很容易被罰嘛
transcript.whisperx[237].start 7181.772
transcript.whisperx[237].end 7196.9
transcript.whisperx[237].text 這樣我們才能盡量賭嘛剛剛管主委講我是很同意啊再怎麼樣嚴格都不見得百分之百但越嚴格效果總是越好好不好所以你願不願意在這邊我們就當場承受至少我們先執行有個進展嘛就是說我把這個還給開一個非故意的這個橋門我現在把它拿掉
transcript.whisperx[238].start 7197.58
transcript.whisperx[238].end 7211.4
transcript.whisperx[238].text 好不好農業部要不要答應我們來跟相關單位我們就針對這個修法的途徑上來這個應該不用修了你們內部行政命令把程序走完其實就好了會比立法院修法快得多好不好這個你三天之內要給我們一個答覆可以嗎我們要希望討論制度補破網啦好不好
transcript.whisperx[239].start 7223.924
transcript.whisperx[239].end 7236.559
transcript.whisperx[239].text 就是除了這個自己故意寄給自己然後被我們採發另外一種樣態就是說這個郵包他不知道是誰的他接到這個包裹了他發現是簡易物他也必須要交給我們如果沒有交出來的話也有罰則是3到15萬所以兩種樣態都有對應的罰則
transcript.whisperx[240].start 7239.588
transcript.whisperx[240].end 7251.795
transcript.whisperx[240].text 沒關係你三天之內把這個法規做檢討但我現在告訴你就有一個狀況而且你的績效就是一千件只能罰九件啦這件事情我們要思考一下怎麼樣提高他的效能啦這是本期今天質詢的重點希望大家好好思考大家一起加油謝謝好我們請黃建斌召回質詢
transcript.whisperx[241].start 7271.141
transcript.whisperx[241].end 7283.29
transcript.whisperx[241].text 好 謝謝主席 我們有請內政部馬次長 安東衛部防疫署長還有財政部官務署長來 各位首長有請好 三位早安本期今天安排這樣的專案報告為什麼要特別強調
transcript.whisperx[242].start 7296.97
transcript.whisperx[242].end 7325.396
transcript.whisperx[242].text 邊境檢疫跟查氣的這個機制就是因為其實剛才劉許庭委員講的很好病毒它不會自己生出來它一定是從外面進來的嘛它不會憑空出現在台灣它也不可能憑空出現在台中病毒一定是從境外進入到國內所以才導致這一次非洲豬的這個破口就像我們總統派院長去年公開的表示各單位一定要落實邊境管制嚴格把關
transcript.whisperx[243].start 7327.515
transcript.whisperx[243].end 7331.183
transcript.whisperx[243].text 拒絕非洲豬瘟疫情於境外
transcript.whisperx[244].start 7335.28
transcript.whisperx[244].end 7361.551
transcript.whisperx[244].text 農業部的我們的陳部長也自己也說說如果這次的病毒確定是非洲豬瘟的話必定是由境外傳入必定是由境外傳入這代表中央觀點非常清楚非洲豬瘟入侵的源頭不是在台中嘛他也不是在哪個特定的縣市這是外面傳去的我想這個大家都很清楚我想今天除了要探討這個屬於養豬啦 豬場管理啦 豬隻檢驗啦
transcript.whisperx[245].start 7362.847
transcript.whisperx[245].end 7384.421
transcript.whisperx[245].text 最重要就是追本溯源就是從源頭的邊境檢疫還有查氣的制度來做好這個管控不要讓非洲豬瘟再進到我們國內我想這才是真正的要防堵豬瘟的這個關鍵因為你但邊境出現破口病毒如果傳進來國內之後你再多的疫調都是亡羊補狼那我想為了
transcript.whisperx[246].start 7385.903
transcript.whisperx[246].end 7413.925
transcript.whisperx[246].text 這個防堵非洲豬瘟的疫情我相信本 而且相信地方政府絕對會全力配合中央也絕對願意提自主提高這個檢驗標準不過我們從這一次的這個豬瘟的這個入侵的事件來看中央邊際的檢驗標準還有查緝制度已經產生了破口那本席放在今天各部會的報告裡面都是滿滿都是強調績效如果說真的像我們政府說的這麼好那其他病毒可以照去唄我想這個我們大家好好思考一下那也要呼籲各部會
transcript.whisperx[247].start 7415.226
transcript.whisperx[247].end 7443.269
transcript.whisperx[247].text 問題都發生的我們不該報喜不報憂我們正是這個缺失怎麼樣來落實來檢討改善他才會避免再次發生這樣問題我想這個今天排這個議程最重要的目的像這邊本席像也提出三個建議來請部委來演繹第一個就是強化入境的檢疫第二個就杜絕肉品透過包裹入境第三個就是提高罰則我想這三個東西很多委員都有提到這部分也請
transcript.whisperx[248].start 7444.321
transcript.whisperx[248].end 7461.29
transcript.whisperx[248].text 我們將不會來研討這樣的問題來討論那也在兩個禮拜內提供本席一個報告來具體說明那我想這邊我最後我想最後我要利用點時間來請教安徽主委
transcript.whisperx[249].start 7468.78
transcript.whisperx[249].end 7497.879
transcript.whisperx[249].text 是 專委好好 主委好所以本席今天還有另外安排就是海岸巡訪的這個審查我想我們防疫的部分先告一個段落我們現在討論這個部分就是我們希望提升第一線海巡人員執行的這個配備保護第一線人員的安全不過本席要趁這個機會來跟我們海巡人員來傳達一些心聲就是有基層的員警來跟我們反映說海巡署艦隊分署的這個警詞跟文詞有同工不同酬的這個問題
transcript.whisperx[250].start 7499.08
transcript.whisperx[250].end 7527.378
transcript.whisperx[250].text 那目前我們的艦隊分屬的這個勤務人員分為警職就是水上警察部分還有文職就是海岸巡護的這個兩類那真是在海上執勤的時候承擔的風險跟執勤的這個勤務的內容他所需要的技能雖然都相容但是他的權益有非常大的落差像是這個危檢職務家級還有危勞人員的這個認定上面都可能造成你每個月的津貼以及我們這個退休替代率有很大的落差
transcript.whisperx[251].start 7528.191
transcript.whisperx[251].end 7543.728
transcript.whisperx[251].text 那據本集了解海巡非常的特殊他是有軍警跟文三個不同的屬性在一起的這個單位也是因為這樣你如何確保同樣是第一線的人員之間的權益的平衡
transcript.whisperx[252].start 7545.239
transcript.whisperx[252].end 7571.436
transcript.whisperx[252].text 那這個是 我想還是 這個是也避免影響世襲的關鍵那在這裡也要請主委得以了解說我們做一個全面性的來檢討 來盤點就是針對我們相關人員執勤的這個內容還有待遇上是不是有不合理甚至明顯有同工不同酬的地方如果是比較有的部分請主管機關研議提升第一線人員的這個相關的待遇跟福利以確保他的公平性也能夠增加我們
transcript.whisperx[253].start 7572.536
transcript.whisperx[253].end 7601.024
transcript.whisperx[253].text 海巡署裡面的這個士氣那也請主委在一樣在會後兩週內給我一份報告來說好的非常感謝昭偉的關心昭偉真的非常深入的了解軍警文在一體的海巡署面對的這個同工不同酬的問題但是也跟昭偉報告我的報告會很快的在兩個禮拜內給昭偉但是呢每一種身份的人包括他們退休的制度也不一樣
transcript.whisperx[254].start 7601.624
transcript.whisperx[254].end 7620.809
transcript.whisperx[254].text 各種家籍的狀況也都不一樣那我們是讓總體而言可以彌平這個同工不同酬的狀態但是譬如說文職的同仁他有加班費但是君子的同仁他就不以加班費來支給他就以其他的家籍來支給所以這個部分我們都容易在爭取
transcript.whisperx[255].start 7624.75
transcript.whisperx[255].end 7630.752
transcript.whisperx[255].text 包括退休也是不一樣的隧道像現在警察的退休如果有三度通過的法令錄取的時候那個落差會變得很大所以請主委再那個落差會非常的大所以這個本席再次提到就是說請主委我們都一直在努力的在彌平
transcript.whisperx[256].start 7650.077
transcript.whisperx[256].end 7676.651
transcript.whisperx[256].text 那最近的修法會讓那個落差非常嚴重的去加大我們都希望能夠照顧我們很希望能夠溝通然後能夠很專業的處理這個橫貧的問題最後一點時間我們這一次修法最主要就是希望能夠照顧為這個國家犧牲的這些弟兄這些不管是公務人員也好警消海巡也好或者是軍人也好他們為國家付出我們應該來照顧他
transcript.whisperx[257].start 7678.112
transcript.whisperx[257].end 7704.414
transcript.whisperx[257].text 那至於制度的問題我想要希望有也拜託會裡面來研究畢竟會裡面的屬性比較特殊我們怎麼樣讓單位裡面各個不同來自不同環境的這些同仁能夠在同工單位裡面有會感受到有差異性的差別所以這個請主委在文職的落差會非常的巨大這個請主委會後再給本席資料那以上謝謝 謝謝主席
transcript.whisperx[258].start 7707.306
transcript.whisperx[258].end 7732.82
transcript.whisperx[258].text 謝謝黃建斌召委 下一位我們請徐欣穎委員質詢謝謝主席 本席有請內政部次長馬次長
transcript.whisperx[259].start 7740.452
transcript.whisperx[259].end 7767.332
transcript.whisperx[259].text 委員好次長好我想前面的委員大家也都非常的重視我們的邊境管控怎麼樣嚴防吸入本席看到內政部的報告裡面只強調篩檢39個重點航班本席不禁想要詢問難道朱溫的病毒它只會搭乘重點航班嗎
transcript.whisperx[260].start 7768.789
transcript.whisperx[260].end 7795.474
transcript.whisperx[260].text 跟委員報告我們是39個疫區國家的航班不是只有39個航班所以航班制度蠻多的39個疫區國家那我請問中轉旅客的行李中轉旅客行李還有小型漁船的走私當然剛剛前面的委員也有問到包含離島口岸還有快遞貨物這些查緝強度如何補足報委我們現在
transcript.whisperx[261].start 7798.243
transcript.whisperx[261].end 7815.755
transcript.whisperx[261].text 基本上39個疫區國家很中轉的部分我們都會查驗所以只要是有經過疫區國家來的航班的旅客我們會查驗那疫區國家目前是農業部根據WAH的這個標準來公告它是不只39個所以 對 所以
transcript.whisperx[262].start 7816.744
transcript.whisperx[262].end 7836.81
transcript.whisperx[262].text 就如果不是疫區國家我們都這個就不可能這個豬瘟的病毒就不會進來嗎是這樣疫區國家跟非疫區國家差異在於說我們如果是非疫區國家的旅客入境的話我們還是會在邊境有海關的人員做抽檢所以他的這個抽檢的這個動線是不一樣你一定會抽檢到有的
transcript.whisperx[263].start 7843.183
transcript.whisperx[263].end 7857.806
transcript.whisperx[263].text 有猪瘟病毒的你一定会抽检到吗这就是问题好没关系接着那小型渔船走私这个部分怎么办那是海巡那麻烦海巡
transcript.whisperx[264].start 7861.94
transcript.whisperx[264].end 7874.65
transcript.whisperx[264].text 跟委員報告我們現在從107年開始那個鄰近國家發生非洲豬瘟的案例以後我們從107年開始對於進港的所有傳播都百分之百安檢到現在強度都沒有減低是
transcript.whisperx[265].start 7879.865
transcript.whisperx[265].end 7895.027
transcript.whisperx[265].text 所有的小型渔船也都一片安静接着次长继续我们现在整个在防疫上我们还在用传统的X光机
transcript.whisperx[266].start 7896.212
transcript.whisperx[266].end 7924.233
transcript.whisperx[266].text 搭配人工判毒肉眼戰術這個國際好像都已經進入AI智能防疫了我們還是用人力人工這個部分我們人的疲勞還有科技的落差這個部分要加強改善好我們目前有跟委員報目前有AI的判試模組有AI的什麼大聲一點判試模組我們已經在進行了已經進行到怎麼樣
transcript.whisperx[267].start 7926.708
transcript.whisperx[267].end 7953.817
transcript.whisperx[267].text 請問我們現在有升級嗎X光機就是我們配合這個灌入所就海關那個儀器對於判讀的那個顏色形狀都可以來做這樣的一個判讀也是先進的這個X光儀器是儀器判讀不是人工判讀我們人是看儀器的判讀檢查過X光那顯示在螢幕上根據它的顏色
transcript.whisperx[268].start 7954.777
transcript.whisperx[268].end 7965.122
transcript.whisperx[268].text 跟他的圖樣 最終還是人工做最後的判定那一樣啊你所有的AI也是要靠AI沒有辦法AI影像也是會顯現出來應該是也會把這個影像顯現出來是要靠我們人去做這樣的說這個是不是屬於豬肉品
transcript.whisperx[269].start 7973.926
transcript.whisperx[269].end 7999.716
transcript.whisperx[269].text 那把它分離出來我想這個部分AI的話它跳出來的我們就應該我們就應該直接就可以那個啦所以我們看到那個圖檔是屬於現在全面了嗎現在X光機都我們配合關於屬大概都全面在因為我們大概都全面到底全面的還是光線的全面全面連19的X光機我剛剛跟文報告一下X光機是線型的啊你現在有用AI影像判讀嗎
transcript.whisperx[270].start 8000.596
transcript.whisperx[270].end 8025.079
transcript.whisperx[270].text 這個部分是有做結合的啦我跟委員報剛剛那個疫區那個部分就是三十五條疫區那個是全那個是那個是防檢署是所有的旅客的所攜帶的這些我們全檢啦那其他的國家也是的通行李來我們還跟海關也一直在在入境的部分也是透過醫生來檢查那所提的部分在這有海關來做抽檢
transcript.whisperx[271].start 8026.385
transcript.whisperx[271].end 8048.922
transcript.whisperx[271].text 所以我們整個的防線絕對不能有縫隙我們也不能有科技落伍的這種系統潰敗絕對不行這部分我們應該是在更精進更精進看世界各國的狀況來執行本席要請農業部謝謝請回座本席想請農業部那個昭偉不好意思我們今天不是要請部長結果也沒有次長來
transcript.whisperx[272].start 8051.595
transcript.whisperx[272].end 8077.623
transcript.whisperx[272].text 因為今天在這個威環他們也有特別請過假農業部現在兩個還三個次長三位次長都沒有一個人可以來這一個還在那個前進中心那邊那我們請的是署長杜署長我們現在因為非洲豬瘟所以我們這個禁止全面禁止用廚餘來養豬
transcript.whisperx[273].start 8081.937
transcript.whisperx[273].end 8086.82
transcript.whisperx[273].text 署長我比較想問部長整個農業部有沒有了解廚餘啊你現在完全禁止的情況下
transcript.whisperx[274].start 8092.719
transcript.whisperx[274].end 8115.224
transcript.whisperx[274].text 署長您今天來就代表部長他是跨部會的議題那也都在處理我知道你就是指環境部但是這個指令當你要下說全面禁止廚餘的時候那有沒有考慮到豬農他的成本你現在廚餘這麼多他都沒有了一個縣市都是幾百噸上千噸的
transcript.whisperx[275].start 8116.794
transcript.whisperx[275].end 8141.011
transcript.whisperx[275].text 我在這裡要請署長要帶回去因為廚餘你們整個農業部有沒有了解廚餘廚餘除了分生廚餘跟熟廚餘之外其實還有一個更重要的重點它是固態跟液態所以有人建議說要高溫蒸煮本席的了解是高溫蒸煮
transcript.whisperx[276].start 8142.072
transcript.whisperx[276].end 8157.046
transcript.whisperx[276].text 固態的廚餘它內部不會它溫度不會那麼高你說要煮久一點一般他們也不可能因為那浪費它的能源成本所以固態跟液態分離除以固態液態分離
transcript.whisperx[277].start 8158.41
transcript.whisperx[277].end 8187.096
transcript.whisperx[277].text 液態可以很容易他就會煮沸那這個煮沸之後其實是還是可以等於他等於病毒殺死他還是可以當這個養豬的您的看法怎麼樣報告委員只要是廚藝當原料來餵養豬隻我們關注的重點就是病毒要不活化的溫度那他就是90度一個小時這個是一定要觀測的對
transcript.whisperx[278].start 8189.013
transcript.whisperx[278].end 8199.327
transcript.whisperx[278].text 所以您的意思是就算固液態分離他也沒辦法把病毒殺死嗎液態我要講是除以收來以後它是一個液態的嘛對不對除以收來有固液態都有
transcript.whisperx[279].start 8205.875
transcript.whisperx[279].end 8232.01
transcript.whisperx[279].text 都有啦其實理論上來講因為有時候水分就比較高那水分比較高你要當作餵養豬隻的時候你一定要蒸煮然後攪拌一個小時一個小時但從現在目前到了90度還要一個小時還是從開始煮開始90度以上一個小時這樣子你們就准許他
transcript.whisperx[280].start 8232.99
transcript.whisperx[280].end 8253.832
transcript.whisperx[280].text 拿廚餘去餵豬是不是我再報告一下現在廚餘這個管控是由環境部交由各地方政府去做處理那在過去的協調機制裡面地方政府要要求我們的環保單位要要求廚餘飼養豬隻的部分一定要做到所以他第一個他一定有檢核廠
transcript.whisperx[281].start 8255.609
transcript.whisperx[281].end 8272.039
transcript.whisperx[281].text 那第二個他去看他的當日上傳的資料影片有沒有落實那第三個假設有異樣那個集合大隊是一定要到這個現場去集合看他有沒有照這個標準程序去走
transcript.whisperx[282].start 8273.281
transcript.whisperx[282].end 8301.109
transcript.whisperx[282].text 那目前掌握的是有幾個漏洞本席想建議的就是其實除於他應該是可以固液態分離固態的去堆肥固態的去堆肥他也不會去餵豬液態的您剛說對了一點液態的他佔了70%到80%他液態的他容易煮廢他容易煮廢那液態的煮廢之後他就煮廢以後要持續一個小時
transcript.whisperx[283].start 8301.869
transcript.whisperx[283].end 8317.771
transcript.whisperx[283].text 才能夠把病毒殺所以這個才是關鍵才能夠讓他不活化所以重點就在假設他煮完像我們一般煮東西開了我就把它關掉對不起病毒了對 人在那邊還是活化狀態所以為什麼要持續那個小時要貫徹
transcript.whisperx[284].start 8320.007
transcript.whisperx[284].end 8334.286
transcript.whisperx[284].text 就是非常重要所以现在你们的这个厨余还是可以养猪只要照符合这个程序不行这段时间都不行对所以重点是不行的原因是是什么原因
transcript.whisperx[285].start 8335.64
transcript.whisperx[285].end 8359.634
transcript.whisperx[285].text 我們現在已經禁載禁運那因為現在廚藝的風險高因為風險高所以完全禁止就對了在這段時間435戶的廚藝廠全部禁止那你們對於這些豬農他們長期本來都有配合的對不對他們現在突然間他哪裡那麼多飼料餵豬你們有補助嗎我跟委員報告有關
transcript.whisperx[286].start 8364.336
transcript.whisperx[286].end 8373.663
transcript.whisperx[286].text 廚餘養豬這個的政策已經在檢討慢慢的第一個階段一定要落實去檢核不是你現在下令了你現在下令你現在這樣的下令你知道豬農他們的衝擊嗎不是
transcript.whisperx[287].start 8377.766
transcript.whisperx[287].end 8383.832
transcript.whisperx[287].text 我們都知道每一個層級都會受到因為為了防疫但是有關除獄養豬退場的議題也正在研擬配合環境部跟我們部裡面在研擬什麼的方式退場而能夠減少到除獄養豬的衝擊包括可能轉換飼料那轉換飼料之間有什麼獎勵的措施或退場
transcript.whisperx[288].start 8403.775
transcript.whisperx[288].end 8422.55
transcript.whisperx[288].text 或退場等等我現在講的是他們現在每天每天豬都要吃啊他們受到的衝擊你們有沒有任何措施這才是真正影響豬農最大的是那再跟報告委員就是這段15天的時候針對廚餘養豬戶也有給他們在飼料平台的媒合也給予一些相關的協助不會影響到他們目前你們準備多少來補助
transcript.whisperx[289].start 8432.557
transcript.whisperx[289].end 8457.461
transcript.whisperx[289].text 有有都你補助他們幾趴講不出來沒有沒有明確的我們會根據這樣的飼料差額去給他們補助就像之前在飼料差額意思說他因為這個衝擊多出來要買飼料的你們全額補助嗎我們就是會依照相關的這樣的一個我們有在其實在110年的時候9月我們就已經有處理過這樣的一樣
transcript.whisperx[290].start 8458.041
transcript.whisperx[290].end 8475.852
transcript.whisperx[290].text 的一個做法當時也是有跟這個農民有互相那這一次我們就會用一樣的這樣的一個計算的方式來補助他們在這一段時間因為要轉去買飼料然後做一些這樣的一個你們要深入去了解讓他們衝擊最小 好不好 以上謝謝謝謝謝謝徐議心委員接下來我們請吳啟明委員
transcript.whisperx[291].start 8494.152
transcript.whisperx[291].end 8507.341
transcript.whisperx[291].text 好 召委我們與會同仁 請我們黃建吉局長署長請你上官員內席還有官務署官務署署長好 署長
transcript.whisperx[292].start 8520.441
transcript.whisperx[292].end 8547.141
transcript.whisperx[292].text 這一次非洲豬瘟造成台灣的恐慌過去我們在去年6月還世界動物衛生組織還認證台灣是非疫情國家所以這個已經在我們世界上大家都公認台灣的防疫做得非常好但是這一次也破洞讓我們台灣大家都造成恐慌
transcript.whisperx[293].start 8548.512
transcript.whisperx[293].end 8571.725
transcript.whisperx[293].text 因為你身為民動職務的防疫署長這是你的業務 針對我們的業務 我看到裡面查緝一些非法帶入的肉品還查獲了三千多件那這是我們的防疫有出問題了未來要怎麼解決這個問題 這是重點因為做成這樣 你說現在大家
transcript.whisperx[294].start 8577.987
transcript.whisperx[294].end 8584.509
transcript.whisperx[294].text 一些養豬戶啊他們的心聲這真的是情何以堪請署長來回答謝謝委員我分出兩個部分如果是說針對我們現在處理電商平台外來進入的部分那我們有兩個措施第一就是他的自主管理
transcript.whisperx[295].start 8599.592
transcript.whisperx[295].end 8614.748
transcript.whisperx[295].text 所以說只要是肉品的部分那他就禁止禁止他要自我管理不能夠輸入不能接單第二個就是屏蔽屏蔽只要有訂單有一些相關的類似的這個的字眼他就有屏蔽措施也是不能訂購進來我們的這個裡面
transcript.whisperx[296].start 8618.291
transcript.whisperx[296].end 8644.027
transcript.whisperx[296].text 那如果進到國內的時候那我們有聯合的一個在我們的郵包的跟快遞那邊有個聯合的一個作業那各單位全部都共同在那邊也會掃過我們的S光然後我們的這個檢疫學也會輔佐就用這樣的全面性來做那至於說在這個海關的部分所以我就請海關來做補充說明好的好我們關務署是
transcript.whisperx[297].start 8647.583
transcript.whisperx[297].end 8670.403
transcript.whisperx[297].text 在海關的部分我們分我們是負責通商口岸那通商口岸的話就包括旅客郵包快遞跟一般的貨櫃那郵包的部分的話是郵局會幫海關做分流的一個高風險來的他會先做分流分流然後海關就高風險的貨物加強來檢驗跟查核
transcript.whisperx[298].start 8670.916
transcript.whisperx[298].end 8698.399
transcript.whisperx[298].text 那快遞的部分我們是依照風險管理的一個概念篩選出高風險地區來的以及高風險的業者執行這個查核那在貨櫃的部分我們因為貨櫃量一年有700多萬份所以我們是用抽驗的方式旅客的部分我們是X光的部分拖運行李比如說桃園機場那邊拖運行李都是在地下室100%經過X光那
transcript.whisperx[299].start 8699.204
transcript.whisperx[299].end 8723.698
transcript.whisperx[299].text 所提行李的部分我們分三道防線第一道防線是由防檢署那邊去負責那如果那邊沒有丟棄的話他從海關的紅綠線通關綠線通關的話我們會把他攔查攔查的話查到我們就會移送給防檢署來處罰以上先做這樣的說明對因為我看了查集的資料光是肉品就3400多件那
transcript.whisperx[300].start 8725.025
transcript.whisperx[300].end 8751.259
transcript.whisperx[300].text 這個數量是真的非常的多啦然後我們電視媒體還有透過一些宣導大家應該國人都很清楚啊那為什麼還會有這個漏洞這是我們的宣導還是不夠吧報告委員當然這部分主管機關跟我們都會一再的加強宣導啦那有些民眾可能還是有一些疏忽或者是有故意想要這個可能
transcript.whisperx[301].start 8753.497
transcript.whisperx[301].end 8778.655
transcript.whisperx[301].text 違規攜帶這些物品進來都有各種狀態都有我們查獲的旅客跟郵包會比較多那通常都是旅客也許是不小心攜帶進來也許是故意要攜帶進來對因為我們現在事情發生是要解決事情是所以說我們的關路署這樣可能是人力也吃緊了因為畢竟我們旅客數量也太多但是現在很多都來自中國
transcript.whisperx[302].start 8780.6
transcript.whisperx[302].end 8801.67
transcript.whisperx[302].text 社群網站平台購物所以說這種真的裡面查緝也是有點困難但是這種沒辦法因為事實上我們的資料裡面也是很多還有含肉品的也是在社群網購裡面來購買這一點一定要特別的注意好謝謝委員這個海關不會鬆懈的確
transcript.whisperx[303].start 8804.232
transcript.whisperx[303].end 8825.541
transcript.whisperx[303].text 那一天啊入境的旅客就有7萬多人啦那我們一天啊大概有十七八萬份的快遞的一個報單啦那郵包的部分一天就有4000件量的確非常一個大但是海關還是會在邊境上竭盡全力來防堵好的好謝謝謝謝請我們處長你講廚藝的部分我剛聽到很多委員的建議但是廚藝其實廚藝可以做
transcript.whisperx[304].start 8834.542
transcript.whisperx[304].end 8846.199
transcript.whisperx[304].text 做肥料好你說好你做飼料可能說好還有寒帶裡面的細菌那你來做肥料那應該都沒問題那你肥料你就要怎樣來補助
transcript.whisperx[305].start 8848.278
transcript.whisperx[305].end 8876.915
transcript.whisperx[305].text 是不是能夠北中南各設一場由我們公家單位來做因為公家單位我們全部都是用公會來做這樣他們也都願意因為廚藝現在都造成整個市場的恐慌嘛因為大家民生剩餘的東西都特別的多或是說現在這個你們要考慮我們農業部這邊考量說廚藝是不是統一由公家來做
transcript.whisperx[306].start 8878.97
transcript.whisperx[306].end 8895.161
transcript.whisperx[306].text 是 報告委員這是其實是環境部的權責但是因為我們有共同跨部會議那從他們的報告跟資料裡面我知道是廚餘的部分他們目前除了這個有些養豬以外
transcript.whisperx[307].start 8895.641
transcript.whisperx[307].end 8916.848
transcript.whisperx[307].text 那做肥料跟做生殖能源等等這些開發的部分也做的很多所以他們也慢慢的要轉型就是轉型到譬如飼料肥料做肥料或者做生殖能源尤其肥料的部分最主要他們在做的你要怎麼補足補助大家都沒辦法很公平
transcript.whisperx[308].start 8917.389
transcript.whisperx[308].end 8936.697
transcript.whisperx[308].text 有的補助比較多有的補助比較少你絕對沒辦法做好你你說要怎麼取得一個很公平性就是由我們公家單位出面看是要怎樣來統籌吸收他們的經驗他們的技術都可以聽說日本做得很好事情來改革你說由公家的單位來做
transcript.whisperx[309].start 8939.358
transcript.whisperx[309].end 8954.529
transcript.whisperx[309].text 我們全國設了三場我相信說這廚藝絕對都可以解決因為你可以做肥料農民都需要肥料我們肥料就算便宜還是免費給他們都可以經過這廚藝才能改觀好 我一定會轉達給農業環境部好的 謝謝好 謝謝
transcript.whisperx[310].start 8965.802
transcript.whisperx[310].end 8995.306
transcript.whisperx[310].text 好謝謝吳清明委員接下來我們請李博義委員發言來謝謝有請移民署署長防疫署署長還有公務署署長好移民署防疫署還有公務署
transcript.whisperx[311].start 9001.065
transcript.whisperx[311].end 9027.747
transcript.whisperx[311].text 謝謝林署長其實今天是在補破網那很遺憾還是有一些單位沒有被邀請到包含我們這個廚餘該怎麼解決我覺得很遺憾那感覺這樣子的安排好像是就認定是境外但我覺得境外有很多方式
transcript.whisperx[312].start 9028.527
transcript.whisperx[312].end 9054.679
transcript.whisperx[312].text 那最重要的是宣傳最重要的就是宣導那我們的宣導到底遇到什麼問題宣傳到底遇到什麼問題不是只有對這個養豬戶宣導我覺得境外這種要回國的等等的這些宣導也很重要然後包含關務署這個必須要這種購買
transcript.whisperx[313].start 9058.615
transcript.whisperx[313].end 9080.85
transcript.whisperx[313].text 大量可能中國的豬肉製品也是有可能的那這些宣導在去年度在今年度的預算有沒有遇到什麼問題在這裡跟委員做一個報告齁其實坦白講這個有關這個被刪了多少講快一點我們總共在我們移民署的部分大概被刪了一千萬宣導經費嗎公務署有嗎
transcript.whisperx[314].start 9085.177
transcript.whisperx[314].end 9093.579
transcript.whisperx[314].text 有關於這部分是主管機關來編列預算我們沒有編列預算我們公務署每年的宣導預算大概十幾萬左右來請這個防疫署長你這邊有宣導預算被刪嗎我們是有刪但是我跟委員報告 被刪多少不知道 原來是三六成三六成
transcript.whisperx[315].start 9113.71
transcript.whisperx[315].end 9133.334
transcript.whisperx[315].text 誰三的你去調查一下公諸於世好嗎第二個最重要的事情就是疫調現在疫調遇到什麼問題10月28號我們農業部的記者會說台中市政府有10個缺失請問補正了嗎署長補正了嗎
transcript.whisperx[316].start 9138.035
transcript.whisperx[316].end 9151.784
transcript.whisperx[316].text 這十個缺失我們在我們在收到他們的出版的時候那確實還有八項有待提出進一步的那八項包括到說你認為最嚴重的是哪一項我認為是整個人的一個調查人的調查對因為包括到續組你包括他的兒子續組說一開始有請一個獸醫啦然後沒有投藥這一些過程
transcript.whisperx[317].start 9165.908
transcript.whisperx[317].end 9194.197
transcript.whisperx[317].text 你認為台中市政府應該要怎麼做要交代清楚因為這涉及到防疫的作為他有交代清楚了嗎目前為止是沒有目前還沒有對不對還沒有好那我再問你一個問題好第一例到底什麼時候目前依照他疫調初步疫調的判斷他的發病從異常的發病是10月10號你確定是10月10號嗎還是更早所以這個一定要追查所以一定要現在還沒查出來這個事關所有的養豬戶
transcript.whisperx[318].start 9195.424
transcript.whisperx[318].end 9224.029
transcript.whisperx[318].text 他到底什麼時候才可以把株枝運出來報告委員到目前為止所有印我們現在所有的檢測都是陰性那我現在強調的是說他的這個是10月14號抽驗所以往前推15天所以應該是9月30號所以從9月30號的我們都要追我們這些廚餘的這些來源是不是要定期通報
transcript.whisperx[319].start 9225.834
transcript.whisperx[319].end 9254.288
transcript.whisperx[319].text 那請問台中市政府這一個案子有沒有問題檢核廠是一定要目前從他們回報的資料裡面在檢核廠的這個管理上跟集合上是有輸入什麼輸入你說譬如從資料上顯示那個檢核廠他固定一定要通報但是他沒有通報什麼時候開始沒有通報好像是從他們資料好像是五月開始五月五月六月是不是
transcript.whisperx[320].start 9254.997
transcript.whisperx[320].end 9283.164
transcript.whisperx[320].text 因為這個是環境部現在目前在追查的那請問你農業部這個房檢署你現在應該做什麼防疫全面防疫全面防疫但是台中這個案子是不是應該要把他這個案例公諸於世讓全國所有包含目前養豬戶很多縣市包含雲林縣包含屏東縣包含彰化縣最多養豬戶的這一些我們要
transcript.whisperx[321].start 9284.639
transcript.whisperx[321].end 9312.55
transcript.whisperx[321].text 要落實的宣導我們現在是採取台中犯了什麼錯讓雲林屏東彰化不要再犯這種錯是是借鏡對所以我們的這個每天都有災防中心的會議那就把這個相關的資訊都會在那裡來做討論那也利用這個平台讓所有的防疫人員跟各縣市大家都可以了解跟掌握而且加強他們各自的好那我再問一個問題
transcript.whisperx[322].start 9314.312
transcript.whisperx[322].end 9337.79
transcript.whisperx[322].text 台中的整個疫調什麼時候你會有一個精準的說明對於國人是昨天下午三點多的時候那這個剛剛說還有八項缺失那這八項你要怎麼清楚說明如果這些雲林屏東彰化他還沒有get到你的這些資訊的話他到底要怎麼防疫我跟委員報告所以說
transcript.whisperx[323].start 9339.491
transcript.whisperx[323].end 9354.344
transcript.whisperx[323].text 讓所有的縣市同步一起啟動所有的緊急防疫作為以及掌握到這個資訊是非常重要所以為什麼我們一直在追查台中市而且也加強高密度追查台中市是什麼高密度譬如說我們現在的作為追查台中市是什麼包括第一階段的觀念場他到底這些廚餘沒有回報從5月開始我看到是8月你說5月開始沒有回報那到底是來源到底是哪裡斷斷續續這個要宣導嘛
transcript.whisperx[324].start 9366.974
transcript.whisperx[324].end 9376.038
transcript.whisperx[324].text 這是你要宣導嘛你被砍了六成的預算委員我跟委員報告我們是有分工你被砍了六成的預算你宣導遇到什麼問題當然啦就是說像我們因為我們宣導的面很廣除了國人以外在飛機上在飛機上也要製作短片然後定期的你被砍六成預算你到底少做了什麼你被砍六成預算你到底少做了什麼你講
transcript.whisperx[325].start 9396.204
transcript.whisperx[325].end 9423.513
transcript.whisperx[325].text 講不出來就是少了嘛當然不是你的問題嘛你少做了什麼你要知道嘛你要講嘛我們要加回來我們現在在補貨王啊有這個的部分現在都加緊在做了你講不出來啊我不是講不出來可不可以趕快檢討出來我們都有可不可以趕快檢討出來趕快把這些預算追回來
transcript.whisperx[326].start 9424.602
transcript.whisperx[326].end 9441.616
transcript.whisperx[326].text 大家都在補破網台中的案例要一項一項一項列出來給其他縣市參考雲林屏東彰化沒有報告委員確實所以我們現在目前從開始都有同步在做謝謝謝謝李博弈委員接下來我們請謝龍介委員發言
transcript.whisperx[327].start 9456.958
transcript.whisperx[327].end 9463.499
transcript.whisperx[327].text 主席請博士長我們博長拜託一下博士長你好檢協的一定要換你檢協的同胞表請你在這禮拜來跟國管局有私底的管局
transcript.whisperx[328].start 9485.591
transcript.whisperx[328].end 9498.215
transcript.whisperx[328].text 所有的對於這份的檢測的通報表請你分析好 我要轉達環境部如期提出你剛才說的嘛 國會開始嘛不是不是 其他各縣市跟台中的包括台中的這禮拜來提供分析是是是 好不好好 我要轉達 再來剛才你說說不出來有很多選擇你沒做
transcript.whisperx[329].start 9515.272
transcript.whisperx[329].end 9529.903
transcript.whisperx[329].text 屬實的都有責 我知道你們都有責所以你要說你沒有責 所以做成這個破口對你有比較危難啦 不是這樣啦我要做在大隊基座裡面來 好 謝謝 補充補充辛苦了你是內閣裡面的 閣門的 教授真的在基站出來透過民意檢驗 非常了解民意的面積多的人
transcript.whisperx[330].start 9545.643
transcript.whisperx[330].end 9564.533
transcript.whisperx[330].text 謝謝 本席對你的包括這個馬太安山的岩石瓦曾經跟你談過這是一個真無關跟實無關不一樣的地方擔當這個領領嘛純粹有問題是面對包括龍藥堡你看像現在岩珠靠的這種事情就提早處理了過去如果是馬太安山在要封台你還沒成立彩虹中心的時候
transcript.whisperx[331].start 9574.005
transcript.whisperx[331].end 9594.011
transcript.whisperx[331].text 就已經去處理今天還沒這樣的事情但是看到十五個月後整個內閣都已經在這種小的地方想辦法給提供花蓮關一半又想辦法要給提供台中市 我覺得沒意思是沒啦你覺得沒嘛 沒就好了你如果沒 其他人就不要再在那邊喝茶聽話
transcript.whisperx[332].start 9599.324
transcript.whisperx[332].end 9601.866
transcript.whisperx[332].text 為什麼要去拜訪蘇營中蘇營中來自地方嘛
transcript.whisperx[333].start 9609.226
transcript.whisperx[333].end 9624.856
transcript.whisperx[333].text 他在地方做過管道嘛 所以地方的管道很清楚嘛風雨這個事情完全是中庸的一種 中庸的靈魂嘛所以 蘇國 蘇伊洲你看看 他冬季是大雨的甚至他第一時間去到海關 去到島嶼的四環雖然他有針對性 我們坦白說對中國大陸大隔空的
transcript.whisperx[334].start 9636.321
transcript.whisperx[334].end 9646.027
transcript.whisperx[334].text 也是他收下來了他是不是收下來了我知道啦 所以就遇到這一段話來就是都要拚剩低啊拚到破口出來沒辦法啊這台中怎麼樣台中大家都說要去台中後來他再去找整個行政議長 所謂情欲
transcript.whisperx[335].start 9662.344
transcript.whisperx[335].end 9666.452
transcript.whisperx[335].text 所以中央地方沒有通力合作破口就會出來嘛
transcript.whisperx[336].start 9668.015
transcript.whisperx[336].end 9673.479
transcript.whisperx[336].text 很簡單啊 結果 我知道要努力啦但是啦 太多像你這樣啦 齁 知道說事情在哪裡最重要啦 不能做的不白 聽的料到你賠對不對我不會誤會啦 我每天在觀察 我才會誤會吃得好 吃得好 你臨山吃一口就沒用了我做你 出入境是你管的啦
transcript.whisperx[337].start 9697.995
transcript.whisperx[337].end 9701.518
transcript.whisperx[337].text 我一個進來 海關不是你關的啦結果 我問那個官員所有的行李就對了 就是要檢查 我說感冒無盡 我看這一年多來 我出出入入每次都把我帶去檢查 都過X光啊 前後有疑問 他就檢查非常的厭倦啊 他說對啊 我們就是都這樣啊所以我認為這個
transcript.whisperx[338].start 9727.261
transcript.whisperx[338].end 9734.107
transcript.whisperx[338].text 英鴻啊 汴階啊 隨時看有什麼也沒有關係結果三天兩晚就拿背在三五省本身在這裡請教你就是說對這個立憲的部分 到今天你不知道破口就到了你不知道來源是什麼了就開始在整理操作 這不是處理事情的味覺
transcript.whisperx[339].start 9749.912
transcript.whisperx[339].end 9756.838
transcript.whisperx[339].text 沒有啦 今天在這裡大家其實都很自然是啊 但是大家都說話待遲啊 不然可能有誤會啊不然想要塞...不會塞到地方來作出政治利益 我跟你說啦 賣錢啦絕對賣錢啦譬如說啊 剛才在說廚藝的部門 因為我等一下要過來問朋友
transcript.whisperx[340].start 9772.199
transcript.whisperx[340].end 9779.1
transcript.whisperx[340].text 全世界人在噴是怎樣噴可以做治療他不是輕輕的噴給你吃不是這樣開多久 開幾十年了 這裡更嚴重噴化做治療是大家的喔大家保護 它不會有滴溶滴溶的身份有完的感覺雖然不像在吃噴吃的 但是安全保障
transcript.whisperx[341].start 9797.642
transcript.whisperx[341].end 9802.465
transcript.whisperx[341].text 我待會要看他是不是要去做了所以我本身跟你建議海關這裡不要再牽扯到海關上有破口了我去那裡出出入入他們對出入境的管理我們坦白說做了有螺絲這就送機時送移到去到那裡的時候到今天你沒改變這幾天來所有的委員我問起來出入大家都
transcript.whisperx[342].start 9825.202
transcript.whisperx[342].end 9829.104
transcript.whisperx[342].text 你跟維吾爾也一樣啊 跟小卡邦一樣很嚴重但是我們的出入境就對了所有對東南亞來的 因為他們是文化不一樣的他們很喜歡吃故鄉的烤肉有時候在進來的時候 還是安裝 不知道 嚴重的沒有他們吃出來的 等於是噴了所以今天大家會把這個目標 放在這個噴裡面
transcript.whisperx[343].start 9852.654
transcript.whisperx[343].end 9862.138
transcript.whisperx[343].text 阿本來在你現在禁毒 禁運我是認為 你要把你的精神 斷了以後 現在歸來過你已經超過抖音了 因為他的心態 跟你不一樣
transcript.whisperx[344].start 9866.144
transcript.whisperx[344].end 9875.27
transcript.whisperx[344].text 對這個負責任的態度 譬如說 給你負責的 你負責你只要說你負責 該不是你的是都會補的你把他站出來 但是他總要叫起來 哼 屁都不給我負責所以真的啊 要不然他就沒辦法我再說一遍 我說媽太安靜了 你就跟我說就是都會補的 囂張他總要叫起來 他總要跟你說東南 他們是西北
transcript.whisperx[345].start 9895.134
transcript.whisperx[345].end 9906.339
transcript.whisperx[345].text 那就沒意思了政府官如果不要負責任下面的事務官大家就廉罰嘛因為我們可以不用說啊會有操控不能說啊反正拚的時候喔拚的時候就有側翼的替我們說啊我沒有跟你們講過這件事你們是不是記不住人我沒有記不住人你公園社福這就是農業部的譴責嘛但是你有啦你的部分就是你的部分就是救災指揮中心的指揮官
transcript.whisperx[346].start 9924.827
transcript.whisperx[346].end 9928.69
transcript.whisperx[346].text 所以我跟妳談到那天我跟妳講那老婆對老婆對不是老婆我不是老婆對 我主委對不對 我跟妳講這樣跟妳討論這是台獨的問題啦
transcript.whisperx[347].start 9953.598
transcript.whisperx[347].end 9964.184
transcript.whisperx[347].text 所以你們下去進步齁這個勞保長的態度齁要出來啦你聽到沒有你要學習這個保長的作風啦他很優秀的 我要給他學習對不起 委員謝謝感謝你謝謝謝同志委員
transcript.whisperx[348].start 9991.711
transcript.whisperx[348].end 9993.652
transcript.whisperx[348].text 接下來我們請鄭天才委員鄭天才委員鄭天才委員不在現在請丁薛忠委員感謝教委我請我們的防疫署署長謝謝
transcript.whisperx[349].start 10021.528
transcript.whisperx[349].end 10023.989
transcript.whisperx[349].text 館主委 鄉長 國長 不錯齁沒事沒事在這齁 我先感謝我們市長 市長 六月 國王來跟我們委員會齁 感謝你們開關 作會對著我們這個防疫的第一手來守候 也先感謝你們 先候你們齁當這個疫情 非洲豬瘟發生之後 咱全國的擁地齁
transcript.whisperx[350].start 10051.547
transcript.whisperx[350].end 10054.288
transcript.whisperx[350].text 大家都非常驚訝尤其是我們福林縣我們有這樣全國三省的用地一千三百多一千兩百多我們這裡的防疫單位一百五十幾萬頭的地所以這已經未來風雨風雪這對這裡的用地是都非常重大的一個影響在這裡要請問我們的署長以前
transcript.whisperx[351].start 10080.475
transcript.whisperx[351].end 10086.137
transcript.whisperx[351].text 發生這幾天我們中國用地庭 用地庭跟外面地庭的消毒跟調查確定我們中華的那個東北化現場另外的已經發生了是 報告委員 開始我們全面性包括我們所有地庭的紡繕跟這個什麼我們55場的這個屠宰場跟我們8場的這個化製場
transcript.whisperx[352].start 10109.565
transcript.whisperx[352].end 10117.79
transcript.whisperx[352].text 那以及我們的觀念場的試試場那不管是消毒而且監測監測所有監測都是陰性到目前為止都是陰性所以我們個人不能夠掉以輕心因為我們現在跨入到第二階段所以這個全國的防疫上更重要更吃緊那我們更要努力去做感謝蘇長
transcript.whisperx[353].start 10129.577
transcript.whisperx[353].end 10139.12
transcript.whisperx[353].text 我們以前控制中又禁止屠宰我們又禁止屠宰我們這裡的用地這裡都開口因為建議說不要用這個廚藝來市場這裡可以來觀光和學生
transcript.whisperx[354].start 10145.882
transcript.whisperx[354].end 10146.443
transcript.whisperx[354].text 我跟委員報告因為我們一個應變中心是跨部會
transcript.whisperx[355].start 10162.365
transcript.whisperx[355].end 10166.829
transcript.whisperx[355].text 所以保證在那處理企業的時候都有針對環境部 環境部的也是他們相關的署長都有來包括到也跟那個彭部長這邊都有共識就是說現在我們435號用處理企業的這個部分那現在我們禁止期間是不是針對他們的這個受到影響的這個飼料因為我們把轉型到飼料的
transcript.whisperx[356].start 10185.847
transcript.whisperx[356].end 10207.373
transcript.whisperx[356].text 來餵飼嘛那這個部分是不是有一個相關的一個補貼的一個措施那另外是說未來要寧定更長期的是不是協助這435戶轉型到不用這個廚餘來做養豬這個都已經列入到實質的一個討論方案那確定以後就會對外來做公佈我跟廚長分析一下我們分析館長100公斤的全民來建設這個廚餘養豬
transcript.whisperx[357].start 10215.08
transcript.whisperx[357].end 10217.18
transcript.whisperx[357].text 開復用車沒問題還要尊敬會議的規定都非常多那都沒問題但是勝過是非常成功大家看都應該會知道是我們婚姻剛好有一天發生在那裡出發場我們希望說我們以婚姻成功的安慰我們當每一個關係他們要繼續在處理養豬
transcript.whisperx[358].start 10245.114
transcript.whisperx[358].end 10246.875
transcript.whisperx[358].text 我們可以來協助協助國管局來建設一個廚化廠來針對這個廚藝化學化學之後我們還可以做有機工藝
transcript.whisperx[359].start 10258.24
transcript.whisperx[359].end 10262.942
transcript.whisperx[359].text 這對我們的農民成功分流,我以前做好位定調,現在我都當選,分農管教都當選,我們第一的進程,建築這個廚藝養殖,來做這個有機果,集齊我們的小農,大家都收集,來討這個有機果,我感覺這是一個很好的方式,希望說,
transcript.whisperx[360].start 10283.968
transcript.whisperx[360].end 10284.689
transcript.whisperx[360].text 我們都要說要趕快想好對稱來向行政院來過個好風險對著未來我們這個風機非洲豬瘟的發生可以經營可以控制住
transcript.whisperx[361].start 10301.84
transcript.whisperx[361].end 10308.283
transcript.whisperx[361].text 其實這個廚餘 也未來的政策其實中央行政院也很認識 那也要求我們農業部跟環境部大家共同來討論 什麼順利的來做轉型我這裡也要另外報告就是說 文靈關係我們少數公 廚餘禁止養豬的縣市模範縣市 那現在就是說
transcript.whisperx[362].start 10324.449
transcript.whisperx[362].end 10337.927
transcript.whisperx[362].text 我們這個保分而且輔導他做這個有機質的工廠這是一個也是一個很好的一個示範我想這個部分環保署大概將來的這個模式都會輔導來做那這裡也跟這個委員來做報告
transcript.whisperx[363].start 10342.193
transcript.whisperx[363].end 10347.035
transcript.whisperx[363].text 我們是有三間化智廠啦 我在這也要特別感謝啦因為我們 雲林也好 我們屏東也好 都有三間啦我們全台灣有八間 原來是九間 一間是沒有的沒有運作的 所以這八間喔 都在幫我們倒三天 但是我們也是有特別要求說化智廠的
transcript.whisperx[364].start 10362.981
transcript.whisperx[364].end 10370.763
transcript.whisperx[364].text 消毒非常重要還有環境的採檢也非常重要所以現在都有這樣在做到目前為止也都是陰性 報告你在這裡感謝蘇長還有一位幫蘇長報告一位因為我們現在已經對中小型的用地風影響非常大
transcript.whisperx[365].start 10385.047
transcript.whisperx[365].end 10388.029
transcript.whisperx[365].text 因為貸款更適又更好的中小息期可能會造成我們這個低農租金出現風險
transcript.whisperx[366].start 10395.459
transcript.whisperx[366].end 10413.485
transcript.whisperx[366].text 這樣原來 原廚原來建議是不是可以來考量延長他們大規模的年限以及來檢討他們這個金融的負債對 報告這個部長都沒有交代所以現在農金署針對這個金融支持針對養豬戶在這段時間過渡期他資金緊張要金融支持都你認定了會對外再做詳細的公佈所以我給你報告感謝 這樣在這段時間
transcript.whisperx[367].start 10424.528
transcript.whisperx[367].end 10425.671
transcript.whisperx[367].text 我們近期的時間,我們用地殼的治療費用會增加除此之外
transcript.whisperx[368].start 10431.82
transcript.whisperx[368].end 10438.064
transcript.whisperx[368].text 他就向兩屆委員他就給我分了說現在我們這個地方用治療來治我們有沒有辦法是其實我們都已經討論這個方案應該在行政討論確定但是就等宣布啦那應該是最快時間這一週內應該就會對外宣布受受到應用的包括我們的豬籠包括我們的屠宰場包括我們的花枝場包括我們的養豬戶以及
transcript.whisperx[369].start 10461.561
transcript.whisperx[369].end 10469.551
transcript.whisperx[369].text 我們經濟部所管轄的攤商這個部分全部都是在我們研擬的名單的受補助的對象後來後來過來喔改建我們這個大廳的美麗這個花園市場齁那個時候像需要我們都約公出來做協調
transcript.whisperx[370].start 10479.957
transcript.whisperx[370].end 10484.78
transcript.whisperx[370].text 市長這個高級收工的這個機制一定要把我們地方修正我可以國際開發的地方會繼續修正是這個國分前你們要注意一下報告委員這都對我們的方案的全面性所以為什麼每天都要開會 要討論 要提方案這就是已經都亂了
transcript.whisperx[371].start 10504.333
transcript.whisperx[371].end 10508.377
transcript.whisperx[371].text 所以我跟你們報告就是說這個的那個我們現在已經考慮到說解禁以後那一窩蜂大家出租一定會塞車價格會跌會影響農民所以說現在已經由許牧師在已經研擬登記出租要有序的登記出租因為評估啦一次出租出來
transcript.whisperx[372].start 10524.873
transcript.whisperx[372].end 10529.335
transcript.whisperx[372].text 因為在這段時間可能受影響是三十萬隻那我們每天的供應量大致兩萬六千隻所以說假設好那我讓你再提高百分之二十那也不過三萬多所以說怕塞車會影響到價格所以會有次序的出租這個部分的方案整個都已經就緒了感謝蘇長 感謝你的辛苦謝謝
transcript.whisperx[373].start 10552.52
transcript.whisperx[373].end 10556.643
transcript.whisperx[373].text 謝謝丁薛忠委員發言接下來我們請徐富奎委員發言謝謝主席我們有請海洋委員會管碧玲主委我特別介紹一下請看我們內政部的馬政事主委有補充 請起立議員好主委 次長好我想這個我們今年5月
transcript.whisperx[374].start 10581.892
transcript.whisperx[374].end 10608.179
transcript.whisperx[374].text 我們在屏東舉辦了這個我們世界動物衛生組織宣布台灣是亞洲唯一這個非疫區國家的一個榮耀但是很遺憾這個最近因為台中發生這個非洲豬瘟的事件那造成我們這個不只是動物防疫的問題我想從這個生產端我們這個屏東也是養豬的大縣那除了這個生產端這個受到很大的衝擊之外連我們這個消費端
transcript.whisperx[375].start 10610.799
transcript.whisperx[375].end 10637.925
transcript.whisperx[375].text 主委有沒有吃過屏東的腕輪豬腳跟屏東的肉圓有 我也有吃這不夠的話 未來沒地方人吃 也沒肉圓人吃所以現在轉來就圍堵我告訴你 今天的危機都有它的圍堵我們希望能持續下去我們應該是跨部會來整個合作做一個有效的防堵我想這個是對於整個產業也好整個我們民生物價也好很重要的一個層面
transcript.whisperx[376].start 10639.838
transcript.whisperx[376].end 10650.026
transcript.whisperx[376].text 但是我想這個我們目前今天的主題是這個編譯檢查期跟防疫嘛因為我最近也聽到坊間很多朋友在講
transcript.whisperx[377].start 10651.329
transcript.whisperx[377].end 10679.86
transcript.whisperx[377].text 這個我們小山通大家去那裡搜尋會帶了很多肉製品進來這是一個很嚴重的一個破口問題所以有查有查清訊息我們是有一個連檢然後關務署關務署會協同我們甚至於我們有專門訓練來評那個肉紋肉品的遵守權我們也都有配合海關關務署這邊所組成的連檢我們都有在連檢
transcript.whisperx[378].start 10681.531
transcript.whisperx[378].end 10689.934
transcript.whisperx[378].text 到截至目前為止今年查獲幾件有違規的事項這個我們請關務署回答好嗎這可能是統計在關務署那裡我們主要是人員跟船舶的安全檢查那行李主要在關務署我們請署長答覆一下
transcript.whisperx[379].start 10706.348
transcript.whisperx[379].end 10723.938
transcript.whisperx[379].text 有關於旅客的部分今年為止是查到850件那小山通的部分我們可能還要再另外再統計一下旅客的部分這個是一個很嚴謹的國安問題我們大概底下的所謂的一個港口也好這個所謂的一個我們這個機場也好
transcript.whisperx[380].start 10725.895
transcript.whisperx[380].end 10753.618
transcript.whisperx[380].text 那麼好的一個防堵一個措施但是不能讓小山通變成一個我們沒有注意到的一個破口的一個問題我想這個因為現在這個小山通去的人也蠻多的然後這個東西如果沒有謹慎處理的時候我想這個是我們必須要面對的好 謝謝委員提醒那我們未來是不是有建立一個邊境防檢疫的一個資訊聯防系統這部分可以做這個東西聯防系統
transcript.whisperx[381].start 10756.656
transcript.whisperx[381].end 10774.303
transcript.whisperx[381].text 資訊聯防當然我們跟我們的相關友軍都會有情職的一個交換如果第一時間接到我們相關的通報的時候我們怎麼樣去處理是通報到相關單位去做處理嗎還是怎樣來防範看這個貨品是出現在哪裡我們就會及時去那個通關點去做處理
transcript.whisperx[382].start 10775.58
transcript.whisperx[382].end 10802.374
transcript.whisperx[382].text 我想分工很重要但是不能因為分工分得太細大家互踢皮球通報的時間差造成我們的防疫的破口這部分要怎麼去防範這樣的一個防線延遲的一個問題防線延遲的問題跟委員報告只要有情緒的話我們都會及時處理對那就是我想這部分我們跟友軍一定都會密切合作的不會成為這個防疫的破口
transcript.whisperx[383].start 10803.653
transcript.whisperx[383].end 10831.248
transcript.whisperx[383].text 我們今天在這邊講這個就是一個很嚴肅的問題我想幫忙注意趕快我們一樣共同這個從不一樣的面向陸海空各方面都要去防堵這樣一個破口出現那我想另外一個問題就是最近三年快遞違規輸入動物的產品的部分有高達1000多件其中豬肉製品就有200多件那還有一些在這個數位海關的防疫上面也出現技術性的一個漏洞那針對這樣的一個漏洞
transcript.whisperx[384].start 10831.735
transcript.whisperx[384].end 10838.14
transcript.whisperx[384].text 我想我們署長有沒有什麼一個方便的一個措施跟委員報告就1級位的部分我們這幾年來一直在強化這個冒名註冊跟冒名報關那這三年來已經停權的四萬五千多筆可能是疑似這些可能會被冒名都會報關的那這部分我們一直在強化實名認證的這個身份驗證像我們最近也是實施這個雙卡認證
transcript.whisperx[385].start 10861.375
transcript.whisperx[385].end 10871.066
transcript.whisperx[385].text 所以我一直在強化身份驗證的一個一個一個措施會封鎖他們的相關的一些資訊嗎封鎖他們相關資訊我們會停權如果他帳號是高風險的高違規的我們會停權會給他停權未來是不是考慮建置所謂的簡易風險分級的AI篩檢系統
transcript.whisperx[386].start 10881.376
transcript.whisperx[386].end 10907.158
transcript.whisperx[386].text 有沒有辦法做一個精進的一個做法簡易的AI風險系統報告委員可不可以再跟你確認一下指的是哪一種針對一些特定的有問題的部分能不能做一個比較精密的一個鎖定是跟委員報告目前我們都是靠海關是靠風險管理我們自己有一道專家風險管理的一個系統那我們當然會朝AI的方向繼續努力
transcript.whisperx[387].start 10908.523
transcript.whisperx[387].end 10930.336
transcript.whisperx[387].text 謝謝我想這個跨部會整合大家一起來努力啦齁我們也期待這個趕快把這個事情能夠平息讓我們的產業也好讓我們的消費者都能夠過得一個更好的一個生活了大家要吃到滴肉吃到空肉飯吃到肉丸吃到豬腳啦齁這才是幸福的生活啦好謝謝好謝謝委員謝謝徐副國務委員接下來我們請林楚英委員發言
transcript.whisperx[388].start 10945.134
transcript.whisperx[388].end 10955.766
transcript.whisperx[388].text 謝謝主席 主席有請公務署署長還有我們的房間署杜署長請公務署房間署委員好
transcript.whisperx[389].start 10958.82
transcript.whisperx[389].end 10975.667
transcript.whisperx[389].text 好 署長因為過去我在這個裁委會所以也非常關心我們海關同仁包括我們的人力啊 設備等等那麼這一陣子因為這個非洲豬瘟疫情的狀況所以我相信同仁們一定都非常的辛苦也都對於這個
transcript.whisperx[390].start 10977.088
transcript.whisperx[390].end 10988.953
transcript.whisperx[390].text 海關的這個作業不敢輕忽但是以本席現在所拿到的這樣的一個數字當中我們一起來看一下這是今天10月29號最新的那當然這個是來自於我們房檢署的資訊我們在抽驗的9549件樣品當中
transcript.whisperx[391].start 10996.836
transcript.whisperx[391].end 11003.797
transcript.whisperx[391].text 陽性的有998件85%也就是849件來自中國112件來自越南36件來自泰國1件來自馬來西亞從2018年8月到現在陽性檢疫出來的有85%來自中國我想這個部分不容置疑因為數字會說話那麼在這個數字旁邊我們看到的就是來自於中國的急運的這個包裹我覺得
transcript.whisperx[392].start 11026.961
transcript.whisperx[392].end 11032.668
transcript.whisperx[392].text 現在當然有人在追理由但是我們要預防勝於治療就是說接下來我們到底要怎麼來防範剛剛前面的委員都有提到就是急運的包裹這樣子一批一批進來喔他確實很容易有漏洞本席過去在財委會的時候也參觀過台北關也看過
transcript.whisperx[393].start 11047.932
transcript.whisperx[393].end 11051.036
transcript.whisperx[393].text 在海運的部分這種急運下貨櫃的狀況我說實話我必須講海關同仁是非常辛苦的一秒鐘要看這種急運的大包裹這困難度是非常高的那麼當中國的這些
transcript.whisperx[394].start 11064.392
transcript.whisperx[394].end 11071.696
transcript.whisperx[394].text 如果裡面夾帶著豬肉製品在裡面的時候真的可以一秒鐘火眼金星看過去嗎因為我們現在是這樣喔不能超過10單每一單不能超過20公斤可是這種豬肉製品如果夾在裡面10單20公斤我問 真的 署長海關人員要花多少時間去看清楚啊以現在的X光掃描機火眼金星看得到嗎
transcript.whisperx[395].start 11093.524
transcript.whisperx[395].end 11112.258
transcript.whisperx[395].text 首先非常感謝委員對海關一向的一個支持跟這個指導的確快遞貨物的量非常多尤其八成都是來自中國大陸那這個一天大概有七八萬份的這個報單要通關那我們現在是靠S光跟企圖權
transcript.whisperx[396].start 11113.871
transcript.whisperx[396].end 11138.72
transcript.whisperx[396].text 抱歉應該是簡易拳來繡紋那X光的部分我們靠的就是X光我們現在是雙色圓的X光那即使看的還算蠻清楚的那我們有豁明同步顯示系統來支援這個我們同仁的這個X光那我們會盡最大的努力啦那X光的部分我們會看顏色密度形狀這些我們都有建立圖檔過去違規的圖檔來協助同仁來增加這個判讀
transcript.whisperx[397].start 11144.246
transcript.whisperx[397].end 11158.384
transcript.whisperx[397].text 這個查到這個命中率還會提高好所以說目前X光是可以我知道現在在為了能夠有更先進的安檢的設備在淘機其實現在也開始有建置所謂的CT的
transcript.whisperx[398].start 11161.344
transcript.whisperx[398].end 11175.97
transcript.whisperx[398].text 這個所謂驗光機那這個部分會用在貨品上嗎現在這個看起來應該是放在機場對人員進出的部分那這個部分其實本席可以建議啦就我知道如果全面換發新的相關的更先進的掃描的設備比如說3D立體顯影等等的更好的這樣的設備的時候可能會有經費預算本席建議其實是可以從貨運
transcript.whisperx[399].start 11187.456
transcript.whisperx[399].end 11200.406
transcript.whisperx[399].text 報關行的這個業者開始就是讓他們的器材設備上不要只有我們公家來做這個部分因為現在防疫檢疫是人人有責除了剛剛講到的落實所謂Easy web在這個所謂消費者這邊申報這邊之外包括
transcript.whisperx[400].start 11206.816
transcript.whisperx[400].end 11220.044
transcript.whisperx[400].text 這個平台這邊相關的建制包括寄建人收建人這些都必須要落實之外實名制之外最重要的我還是建議就是如果我們這樣徹底防範非洲豬瘟的話這個所謂集運然後掃描安全通管的問題其實還是要解決如果說預算有限因為像我們在我其實本來很想問你們這一次海關的預算到時候到財委會的時候要守住不要被
transcript.whisperx[401].start 11235.413
transcript.whisperx[401].end 11239.075
transcript.whisperx[401].text 在野黨大刀一揮又揮掉到時候狗狗的這個費用啊這個關務署相關的海關人員的費用啊加急清貼啊這個部分你們要好好守住啊因為守住也是守住我們的國安的部分守住我們的這個非洲豬瘟
transcript.whisperx[402].start 11252.68
transcript.whisperx[402].end 11255.922
transcript.whisperx[402].text 台委會委員都非常支持海關的預算所以我要講的就是說我們的預算不足的話其實也可以從報關行或者是業者這裡來讓設備做一些改進然後財政部這裡可以給一些租稅上面的優惠
transcript.whisperx[403].start 11270.473
transcript.whisperx[403].end 11284.701
transcript.whisperx[403].text 那也許這樣子我們可以在設備上面就是他們有更新設備然後在設備上更新的時候我們可以給一些租稅上面的優惠鼓勵他們就是一起在所謂邊境管制上面尤其是像我們講的這種所謂的中國急運寄來的這樣的設備上面能夠做一些更新這樣也可以減輕我們自己的負擔因為畢竟這個是可能要官民一起聯手才能夠守住不要讓豬瘟進來守住我們的台灣豬
transcript.whisperx[404].start 11297.952
transcript.whisperx[404].end 11301.515
transcript.whisperx[404].text 謝謝委員的指導我們會朝這方面去努力好謝謝好謝謝林楚英委員接下來何欣淳委員何欣淳委員何欣淳委員不在接下來是邱志維委員發言
transcript.whisperx[405].start 11329.075
transcript.whisperx[405].end 11356.402
transcript.whisperx[405].text 謝謝主席是不是請這個農業部房間署杜署長請杜署長 公務署彭署長好 署長第一個問題請教你就是本來日本跟台灣是為惡的非豬瘟疫區那現在已經台灣已經有豬瘟的這個案例現在唯一的就只有日本上次我在今天我會質詢日本的經驗可以去學習
transcript.whisperx[406].start 11357.461
transcript.whisperx[406].end 11374.37
transcript.whisperx[406].text 日本的廚餘日本有沒有廚餘是 日本有廚餘是家家戶戶都有廚餘嗎他們還是有產生廚餘廚餘的量廚餘的量沒有台灣多吧沒有你們去了解日本廚餘怎麼去產生因為我每天跟日本人生活我知道日本比較少廚餘他們廚餘不是像我們這個
transcript.whisperx[407].start 11381.96
transcript.whisperx[407].end 11410.951
transcript.whisperx[407].text 的一般的這個方式在處理好即便有廚餘這廚餘那天在經濟委員會他提到說可以讓他變成飼料是液態的還是固態的他有先進的技術是過去我們有沒有這個技術我試著回答因為這是環境部的好就你業管的部分就日本的經驗您知不知道日本他的這個到底怎麼樣
transcript.whisperx[408].start 11411.687
transcript.whisperx[408].end 11436.938
transcript.whisperx[408].text 把他把這個廚藝變成這個飼料是液態的還是固態的他要記住我們能不能取得是所以他們沒有邊境管制他們依然可以確保是非豬瘟果所以這是我們可以學習的然後部長說我們如果可以取得授權的話我們願意馬上去做對部長已經交代了就是委員那間執行委員會可以的話我們馬上去日本去看是看看他們到底是用什麼方式來變成飼料
transcript.whisperx[409].start 11438.769
transcript.whisperx[409].end 11459.95
transcript.whisperx[409].text 那就完全就解決這個問題了嘛一方面可以解決廚藝的問題一方面可以避免這個豬瘟因為它已經飼料化就完全沒有病毒了嘛這個有沒有計畫馬上去日本去考察一下我們去看也可以經濟委員會去看也可以
transcript.whisperx[410].start 11461.127
transcript.whisperx[410].end 11475.906
transcript.whisperx[410].text 報告委員我們已經有做對日本這個處於其實他們大部分是用剩食飼料化那技術面的話有液態飼料也有乾燥的飼料兩個技術都有在使用對
transcript.whisperx[411].start 11477.929
transcript.whisperx[411].end 11497.364
transcript.whisperx[411].text 這兩個飼料不管液態或物態都能夠杜絕這個豬瘟的病毒對於有含肉移綠的原料的話人家已經行之一有年了為什麼我們為什麼不學他們的技術或者取得授權我們還用比較沒有效率的方式做邊際檢查然後要那麼多人力
transcript.whisperx[412].start 11498.687
transcript.whisperx[412].end 11527.677
transcript.whisperx[412].text 報告委員台灣也有一場是做把這個剩餘的食品變剩食變成那個固態飼料台灣有五千多場耶只有一場做成乾燥飼料的有一場為什麼沒有辦法全面這可能涉及成本的問題我覺得這部分跟去跟日本學習如果取得授權盡快如果可行的話連評估可行的話盡快跟日本代表處
transcript.whisperx[413].start 11528.843
transcript.whisperx[413].end 11551.181
transcript.whisperx[413].text 趕快去日本實際去看一下實際的狀況那我們還會另外再安排那個署長另外再安排是不是經濟委員會也去日本看一下到底是他們怎麼樣把廚餘處理變成私料化這個過程是怎麼樣技術是怎麼樣我們可能要盡快去看一下你們速度不能比立法院慢
transcript.whisperx[414].start 11553.111
transcript.whisperx[414].end 11574.097
transcript.whisperx[414].text 你們住代表處有沒有農業部的同仁有你們趕快去收集資料明天我就去看也可以這個防疫如作戰另外你們在桃一桃二你們是委外你們新竹分數到底有沒有同仁在那邊
transcript.whisperx[415].start 11574.805
transcript.whisperx[415].end 11593.384
transcript.whisperx[415].text 我報告委員您那天這個質詢以後那就交代桃園分署都要輪流輪班24小時都一定要有監督人員在那裡保健公司固然有受過訓練他專業度沒有比我們房間署的同仁還有如果有什麼狀況房間署可以馬上處理嘛
transcript.whisperx[416].start 11596.687
transcript.whisperx[416].end 11613.679
transcript.whisperx[416].text 而且針對高風險發高風險台港澳 港澳中他是強制要檢查一定要檢查除了日本之外全部一定要檢查他如果檢查出來他有帶豬肉當場丟掉就沒事你們數據來看你們從這個107年到114年
transcript.whisperx[417].start 11623.274
transcript.whisperx[417].end 11629.26
transcript.whisperx[417].text 總共還有2619件這2000多件是經過你們的安檢區到海關被攔檢下來嘛對不對你看還有2000多件漏網之魚幹嘛呢手檢區修正一下是手檢區的數量你的手檢區的數量那真正被查法有多少查法900多
transcript.whisperx[418].start 11647.516
transcript.whisperx[418].end 11663.312
transcript.whisperx[418].text 基本上這樣你經過手撿區不是只是一個形式而已你要有專業的人去看到底有沒有而且要看得仔細一排十個人在那邊大部分在協助搬運行李通過速度很快我是懷疑到底有沒有在看
transcript.whisperx[419].start 11665.456
transcript.whisperx[419].end 11674.884
transcript.whisperx[419].text 我們可以來檢討這個時期的這個流程跟作業將近2600多件2600多件他就把它丟掉就沒事嘛你說還有900多件是要裁罰的在裁罰是在彭署長那邊又被攔下第二關被攔下來對不對沒有錯嘛在我們這邊應該到那邊就不會重複裁罰
transcript.whisperx[420].start 11689.005
transcript.whisperx[420].end 11714.045
transcript.whisperx[420].text 對嘛你們在前第一線沒有採訪嘛不是我跟委員報告就是這個我們檢查的是旅客帶的手撿的隨身攜帶S光機是針對我們的行李對我知道所以兩個是不一樣的那手撿的部分呢手撿就是剛剛講的2600多件對2600多件之中對嘛那都不會採訪嘛那你東西拿掉就好採訪丟掉不是怎麼會採訪這個
transcript.whisperx[421].start 11716.227
transcript.whisperx[421].end 11736.554
transcript.whisperx[421].text 你那個良福保全再做安全的丟掉丟掉就不用裁罰了嗎不用裁罰那你裁罰900多千是怎麼裁罰應該是那個是托運行李還是手提行李S光機確診是S光機是托運行李嘛對不對是是是所以900多千是托運行李是好在第一關你們這個委託的這個保險公司做的這個手提行李的檢查
transcript.whisperx[422].start 11737.134
transcript.whisperx[422].end 11753.097
transcript.whisperx[422].text 你們撿出200多件丟掉就沒事嘛是丟掉他不就沒有裁罰的問題是是是所以目前這樣子完全沒有裁罰然後呢這個托運行李你們被罰了這個700多件托運行李嘛
transcript.whisperx[423].start 11756.067
transcript.whisperx[423].end 11761.916
transcript.whisperx[423].text 被罰是全部是婚姻行李各位報告因為首提行李的話是在桃園機場是經過房間署100%手檢確認他沒有帶違規產品才會讓他通過
transcript.whisperx[424].start 11770.168
transcript.whisperx[424].end 11789.725
transcript.whisperx[424].text 那接下來海關這邊S光機還會再檢查那個就是拖運的行李的部分所以被罰的全部拖運行李嘛被罰的部分有兩種樣態一種是動物產品一種是植物產品是嘛反正所有被裁罰的都是拖運行李嘛所提行李在你們第一關他看到不管有沒有看到啦他看到只要過了就沒事了嘛對不對
transcript.whisperx[425].start 11790.626
transcript.whisperx[425].end 11818.757
transcript.whisperx[425].text 不管有沒有看到因為我們托運行李我們首提行李檢查是針對高風險的那個非洲諸多國家那有些國家像日本像歐美但我都知道我說你們檢查第一個要專業第一個要確實的那麼多的每天大概這個六七萬人入境六七萬人入境他的首提行李他可能在機場買一個豬肉產品他就放著那你如果沒有檢查出來那就是你們第一線防潛局的問題
transcript.whisperx[426].start 11819.597
transcript.whisperx[426].end 11835.674
transcript.whisperx[426].text 對不對現在採訪都是經過S光機透過這個托運行李看到才採訪對不對跑不掉因為他托運行李嘛那手力行李第一個你們安檢的品質怎麼樣專業怎麼樣把關很重要每天六七萬人入境你如果檢查確實的話好
transcript.whisperx[427].start 11840.526
transcript.whisperx[427].end 11857.439
transcript.whisperx[427].text 他就把他拿掉對不對對就不會是被裁罰了對然後還有第二道關卡就是到了那個我們的留那個什麼檢疫犬的那個地方檢疫犬是第二道有幾隻檢疫犬我目前全國有56隻56隻56隻這個你如果要檢查就要很確實是不能抽檢是這個防疫的關卡很重要是所以我最後
transcript.whisperx[428].start 11868.686
transcript.whisperx[428].end 11897.129
transcript.whisperx[428].text 我建議就是第一線路徑第一關所有的這個手裡行李案件的部分一定要專業而且要確實不能留意形式另外你說有這個犬隻要在第二波第二關這個也要確實如果被犬隻查到怎麼辦要不要罰 一定罰那個這個只要有肉製產品就當場就開立20萬那假設他不繳就回去了如果犬隻查到
transcript.whisperx[429].start 11897.864
transcript.whisperx[429].end 11924.711
transcript.whisperx[429].text 代表說你那一關那一關跳過了那一關沒有你們第一關沒有查出來是是我們也在追這種要吻合啦要相相所以啊這個第一關很重要啊署長新竹分署一定要再加油桃園那是桃園分署桃園分署還是新竹分署已經改成叫桃園分署桃園分署謝謝好謝謝宣誓會委員
transcript.whisperx[430].start 11928.47
transcript.whisperx[430].end 11930.231
transcript.whisperx[430].text 接下來請楊瓊英委員發言謝謝主席 楊瓊發言邀請關務署彭署長委員好
transcript.whisperx[431].start 11950.031
transcript.whisperx[431].end 11970.967
transcript.whisperx[431].text 據媒體報導10月25號報導非洲豬瘟疑似台灣在現中當然目前為止我們規定從國外攜帶或者是遊購是以6公斤以下自用食品回台它是免申報的所以你關瑞署在24號表示你會請食藥署研議相關的規定
transcript.whisperx[432].start 11974.85
transcript.whisperx[432].end 12001.846
transcript.whisperx[432].text 但是食藥署在隔天馬上回覆聲明他發表聲明說認為內容物才是防疫的重點那這個爭議不管是從哪裡來尤其這個大陸食品的螺蛳粉這個什麼魔乳爽這些的產品我們看到在在這個台灣隨處都可以看得見那請教關護署你當時希望食藥署
transcript.whisperx[433].start 12003.086
transcript.whisperx[433].end 12022.313
transcript.whisperx[433].text 你們要他改的是什麼是公斤數還是內容物因為他直接給你隔天就跟你說他是認為是內容物才是重點所以邊境的管理到目前為止石耀署跟你所提出的好像是各自一詞來請說明報告委員
transcript.whisperx[434].start 12026.92
transcript.whisperx[434].end 12030.223
transcript.whisperx[434].text 這是因為有關於媒體一個報導就是說在捷運上看到旅客兩大箱的這個所謂的這個螺絲粉他認為說這應該是走私進來的所以國境大門動開都沒有在把關那我們是發個新聞稿澄清說一個人
transcript.whisperx[435].start 12044.435
transcript.whisperx[435].end 12064.693
transcript.whisperx[435].text 自用可以帶6公斤的食品這是食藥署的規定這是目前的規定大家都知道只是你要食藥署他們你希望他們去調整是要調整什麼公斤數當然食藥署講的沒錯那現在食藥署已經給你打臉說公斤數不重要是內容物才重要那你們兩個怎麼做呢
transcript.whisperx[436].start 12066.579
transcript.whisperx[436].end 12073.584
transcript.whisperx[436].text 內容物當然海關一定會看每一個貨物到底有沒有含豬肉所以如果說食藥署現在回復的25號回復就是說他不贊成把公斤數調降是不是如此他回復是要看內容物內容物是重點但公斤數
transcript.whisperx[437].start 12084.43
transcript.whisperx[437].end 12111.919
transcript.whisperx[437].text 是不是有調降的空間他們會再演繹他們會再演繹那你認為什麼時候可以告訴我們你希望食藥署所做的那麼最後你們兩方所達成的共識是什麼告訴社會大眾我想目前食藥署應該有在救公斤數是不是要調降所以到目前為止我們這個公務所還是希望6公斤可以做調降你的方向是如此
transcript.whisperx[438].start 12112.643
transcript.whisperx[438].end 12134.25
transcript.whisperx[438].text 以關務署的立場啦因為同仁檢驗的貨物非常的多啊我也知道琳瑯滿目槍毒一些什麼加熱菸啦所以你還是認為6公斤不管郵購或者是國外攜帶6公斤可以調降6公斤一個人6公斤的話比如說我們旅客不是你的方向是不是如此是
transcript.whisperx[439].start 12136.231
transcript.whisperx[439].end 12151.699
transcript.whisperx[439].text 所以本席就不希望說在現階段大家應該要團結一致好好的防疫好好的建立那因為我們看到關護署跟食藥署是各執各執一詞那到底怎麼回事我們還是要理清楚那我們也希望你們兩方好好趕快去討論到底是怎麼樣要告訴社會大眾才不會讓民眾有更多一個問號跟質疑
transcript.whisperx[440].start 12160.403
transcript.whisperx[440].end 12167.568
transcript.whisperx[440].text 謝謝委員知道我們跟食藥署都有保持密切聯繫你要趕快去檢討看到底是怎麼回事不要讓民眾有問號那現在我們上一次在經濟委員會裡頭你也提出你們增加了S光機那我們也提出你的檢疫犬到底夠不夠檢疫犬目前運用檢疫犬你大概有56隻那到底第一個數量夠不夠第二個他們的經濟方案
transcript.whisperx[441].start 12188.562
transcript.whisperx[441].end 12208.101
transcript.whisperx[441].text 能不能應對這一些請做說明這個S光機的部分我們海關有118台的這個小型的S光機那我們都有進行這個太舊換新所以我們都會朝這個智慧科技查緝的方向去努力那至於檢疫權的部分是屬於防檢署的權責來請說明
transcript.whisperx[442].start 12211.104
transcript.whisperx[442].end 12226.014
transcript.whisperx[442].text 保安委員我們現在全國有56隻的監獄犬那其中在桃園分屬是佈置了29隻那現在夠不夠如果當我們發生這樣的事情大家一律各個港口以及這個大家都希望量能夠夠
transcript.whisperx[443].start 12227.755
transcript.whisperx[443].end 12245.354
transcript.whisperx[443].text 其實我們都有在逐年調整但他會碰到一個問題就是訓練檢疫權不是那麼容易的事情問題就在這裡在早先的時候我們可能從美方跟他合作跟紐西蘭合作紐西蘭後來他們說我們也要自己從COVID-19以後他就說不行我們就加
transcript.whisperx[444].start 12246.875
transcript.whisperx[444].end 12264.531
transcript.whisperx[444].text 不跟你合作了我也不賣你了當然我們知道有還是有經濟空間我們支持所以你們必須各種管道要怎麼去調整我們希望就是大家團結一致來做報告委員我跟關務署我們在去年有一個合作也就是
transcript.whisperx[445].start 12266.584
transcript.whisperx[445].end 12278.416
transcript.whisperx[445].text 沒關係你再順便資料給本席我們希望好好的能夠來防堵那量能要怎麼做你想順便資料給本席 好不好好接下來本席要請教警政署署長有來嗎
transcript.whisperx[446].start 12285.688
transcript.whisperx[446].end 12314.567
transcript.whisperx[446].text 這個議題本來上次因為時間關係沒有問到但我很關心這個議題因為在臉書社群裡頭有說你警戒內部是有嚴重的數據造假文化所以有不少的員警來指控為了配合長官衝刺身簽的績效你會把A1類的死亡車禍先登錄在刑案後續再去做更改
transcript.whisperx[447].start 12315.347
transcript.whisperx[447].end 12337.68
transcript.whisperx[447].text 要美化這個交通死亡的數據有沒有這個事他們還特別指出高雄桃園都有那這個會產生什麼問題呢如果屬實這很嚴重的問題第一個受害家屬的家屬受害者的家屬他本來可以有這個意外險的這個200萬
transcript.whisperx[448].start 12339.361
transcript.whisperx[448].end 12357.377
transcript.whisperx[448].text 但是他如果不是在A1族的他就沒有辦法領這他的損失非常的大第二個如果真正這個路口他是嚴重的而因為數字失真導致沒有辦法去改善那個路口那這個嚴重性更嚴重請教署長
transcript.whisperx[449].start 12361.007
transcript.whisperx[449].end 12381.408
transcript.whisperx[449].text 包委員這個A1的這個部分是不會造假我們現在都是異化在做管理所以絕對不會有這種事情發生我們都異化那你這個所謂的數據這個部分如果是透過人工的各方面但是現在全部都是異化在做一個處理所以也沒有這一些的這個這個應該是不實的啦
transcript.whisperx[450].start 12383.47
transcript.whisperx[450].end 12385.432
transcript.whisperx[450].text 那如果不是 你們應該要澄清啊網路啊 每天一直傳啊你們應該要去澄清啊因為連受害的家屬 你到現在才知道經濟是有我們在加油的 AI要加油啊
transcript.whisperx[451].start 12399.162
transcript.whisperx[451].end 12402.083
transcript.whisperx[451].text 這關來澄清 我們也澄清這個絕對不會去造假因為你連你連受害的家屬他的影響那麼大他如果不是在A1組的這個報案的時候他連交通事故這個強制汽車責任險的這個第六條的規定了他就沒辦法他這是兩百萬
transcript.whisperx[452].start 12422.31
transcript.whisperx[452].end 12435.039
transcript.whisperx[452].text 對不對所以影響本席剛才講的有兩項我們會來澄清了你要澄清嘛你一定要趕快澄清因為我們不希望行政部門有被挑戰這個信任誠信的危機對不對你立即澄清嘛所以沒這回事因為有責我們檢討之
transcript.whisperx[453].start 12441.623
transcript.whisperx[453].end 12457.556
transcript.whisperx[453].text 無責你必須要去澄清是鼓勵我們的員警嘛對不對你贊同嗎贊同因為我們不希望讓民眾來做這個一樣又是問號的不好趕快去澄清趕快去澄清那要好你請回OK謝謝
transcript.whisperx[454].start 12461.77
transcript.whisperx[454].end 12482.512
transcript.whisperx[454].text 好謝謝楊瓊英委員接下來請黃建豪委員黃建豪委員黃建豪委員不在林俊憲委員林俊憲委員林俊憲委員不在蘇清泉委員蘇清泉委員蘇清泉委員不在林倩琦委員林倩琦委員林倩琦委員不在現在請陳雪生委員發言
transcript.whisperx[455].start 12490.967
transcript.whisperx[455].end 12496.968
transcript.whisperx[455].text 好謝謝主席啊是不是請警政署張署長張署長請委員好署長我們馬祖警察局啊連山縣警察局齁那個官有啦兵沒有有啦都補給了啦補了多少人6個不夠啦已經滿了啊沒有滿沒有滿要8個才夠
transcript.whisperx[456].start 12517.1
transcript.whisperx[456].end 12521.824
transcript.whisperx[456].text 因為我們預算原額本來就已經很少了預算原額比編制原額少為了省一點錢因為預算是比編制少一點點
transcript.whisperx[457].start 12537.202
transcript.whisperx[457].end 12556.992
transcript.whisperx[457].text 那你不能說只有巡關以上的那底下沒有兵我們這次就是馬祖的部分因為他的人數少就基層的這個部分如果少一個可能在量度不足所以這是大概優勢補最多的啦好啦謝謝組長不管怎麼樣這個馬祖警察局
transcript.whisperx[458].start 12558.038
transcript.whisperx[458].end 12572.023
transcript.whisperx[458].text 在署的領導之下跟我們縣政府還有地方人都配合的非常好謝謝委員署長請回是不是請召委請移民署移民署林署長請移民署林署長署長早上個禮拜啊這個發生一件大陸漁船在不是海峽中間喔在他們的領海公海在他們領海
transcript.whisperx[459].start 12587.799
transcript.whisperx[459].end 12614.191
transcript.whisperx[459].text 對我們海欄二號裡面12隻星的海欄弄斷兩隻星後來被海巡把他帶回來海巡帶回來以後大概就把他留置了並沒有拘留啊幹什麼等等都沒有那其中斷了兩星那現在中華電信我跟他們協商因為大陸那邊跟我們聯絡
transcript.whisperx[460].start 12615.836
transcript.whisperx[460].end 12642.783
transcript.whisperx[460].text 大陸跟我們聯絡,那現在已經和解了那他賠了25萬那這個案子已經到我們連江地檢署當然地檢署那邊依法行政嘛,他們會去處理那已經調解完畢了那這個問題是不大了現在這個人,人在馬祖也沒有拘留,也沒有留置,也沒有收押那這個人怎麼回去是個問題
transcript.whisperx[461].start 12644.29
transcript.whisperx[461].end 12673.266
transcript.whisperx[461].text 我曾經也打電話給我們怡俊 怡俊組長 怡俊組長也有去協調那這個人現在兩種方式嘛一個是 署裡面很像講 預案要有大通證謝謝怡俊組長 多謝你協助 禮拜六禮拜六放假我還找他 他一直很熱心 在努力這個事情一個大通證 大通證他說要見到人 大陸那邊講要見到人頭才能有大通證
transcript.whisperx[462].start 12674.278
transcript.whisperx[462].end 12685.527
transcript.whisperx[462].text 因為我們現在海基跟陸委會跟對面已經不通了已讀不回了已經對幹了 已經火車對撞了沒有協調的人了是不是那現在一個大統政的方式一個是時間暫停一下時間暫停
transcript.whisperx[463].start 12704.192
transcript.whisperx[463].end 12733.764
transcript.whisperx[463].text 好 一個人用大通證如果大通證寄過來我們讓他回去但他大通證本來只有一種現在為了這個人他有兩種就是一次性的臨時大通證那今天會從黃旗送到我們議長的手上那有了這個大通證我們可以讓他就移民署這邊讓他出境移民署讓他出境如果沒有大通證的話呢那就是你們的預案很像是移民署的預案
transcript.whisperx[464].start 12734.758
transcript.whisperx[464].end 12763.978
transcript.whisperx[464].text 也就是從他們派個漁船過來我們也雇用了漁船在海峽中線把人叫出去署長你們有沒有研究妥適方案現在這個可能沒辦法做這樣子的一個處理沒辦法做這樣子的一個處理他沒有事啊 沒有事啊 目前啊人怎麼回去
transcript.whisperx[465].start 12764.895
transcript.whisperx[465].end 12791.834
transcript.whisperx[465].text 你海巡把他帶回來的人怎麼給他弄回去你不能被人家求啊我每天要提供他便當這個案子因為這個他是應該是因為在我們海巡把他帶進來的啦應該是海巡帶進來的啦所以他並不是標準的所謂的偷渡啦他是等於是非法
transcript.whisperx[466].start 12793.366
transcript.whisperx[466].end 12801.648
transcript.whisperx[466].text 斷纜等於是非法他應該是涉及到國安的問題啦合解的現在沒有這個問題啦沒有斷纜的問題啦人合解啦案子已經合解啦跟委員報告那原來我們移送給地檢署以後地檢署檢察官裁定這個人是由移民署來收容收容收容多久啊他斷纜的原因已經消失了嘛因為他合解啦
transcript.whisperx[467].start 12823.547
transcript.whisperx[467].end 12844.536
transcript.whisperx[467].text 那賠獎金也賠啦25萬也收啦已經沒事啦那你們要把他養到嗎移民署總有預案嘛 總有個方案啊你移民署總要有個對策嘛對不對其實這個部分齁 這個部分我們要把他驅逐出境但是問題是他沒有大通證大陸那邊不會收那他如果有大通證你們要不要放他走會啊
transcript.whisperx[468].start 12849.861
transcript.whisperx[468].end 12877.55
transcript.whisperx[468].text 因為他本來就要虛擬出去那臨時的大通證你們可以接受嗎一次一次性的大通證他本來營運本要送來啊我說不行現在大通證是他回大陸的時候有大陸那邊在看的所以大陸那邊如果說他有發正常應該是會收可以嗎
transcript.whisperx[469].start 12878.257
transcript.whisperx[469].end 12905.362
transcript.whisperx[469].text 如果是他發的他應該就會收我們對海關會放行嗎 我們的移民組會放行嗎我們會發臨時出境許可讓他一次性的 讓他回去也可以吧 好那這樣就OK了啦那不然的話也要按照前例嘛 要漁船送回去另外署長喔馬祖現在的人球有多少個你知道嗎大陸的人球有30幾個你們沒關係喔 那個海巡要養到 要養到
transcript.whisperx[470].start 12907.622
transcript.whisperx[470].end 12914.828
transcript.whisperx[470].text 他們留置啊 養照 還蓋個房子給他們住勒還提供他們起居作息 海巡很多錢喔海安委會很多錢嗎 30幾個海巡署出來有沒有來
transcript.whisperx[471].start 12921.608
transcript.whisperx[471].end 12945.691
transcript.whisperx[471].text 沒有啊我把名單開給你三十幾個不是一個兩個三個我們沒有留置三十幾個人報紙有一個有一個偷渡犯他八月底的時候已經執行期滿但是呢目前中國也不收所以還收容在移民署三十幾個我名單開給你我們沒有我們沒有留置三十幾個人好那你們不要提供便當給他喔把它二十喔
transcript.whisperx[472].start 12947.571
transcript.whisperx[472].end 12956.796
transcript.whisperx[472].text 我們沒有留置三十幾個人你問一下海巡隊問一下海巡隊好不好我們會後來跟委員我們來跟委員了解不必查證我們絕對沒有留置但是我們會來跟委員請教所有這個數字主委我正好要找你了海巡蓋房子
transcript.whisperx[473].start 12971.243
transcript.whisperx[473].end 12978.108
transcript.whisperx[473].text 我們讓他蓋了我當縣長的時候就把核地讓他蓋了把土地蓋給你們了也都給你們了你們蓋的進度怎麼樣現在
transcript.whisperx[474].start 12984.188
transcript.whisperx[474].end 13011.756
transcript.whisperx[474].text 我們有委員講的是海巡隊我們海巡隊目前都是一進度大概是不是說明一下蓋到一樓目前蓋到一樓是我們請同仁組長說明一下好嗎是我有去看過好 組長你說明一下馬祖海巡隊的工程目前是進度大概百分之二十多左右
transcript.whisperx[475].start 13012.555
transcript.whisperx[475].end 13041.782
transcript.whisperx[475].text 進入六月超前 那目前蓋到一樓那一定是明年底會能夠整個完工當初我跟你們海巡講你們海巡要蓋房子你不是要蓋個另外一個房子讓海巡弟兄住進去嗎你去拿個貨櫃租了幾十個幾百個貨櫃把它堆疊起來 現在漏水啦我跟你們講暫時臨時性的清澈蓋了以後你們將來這個房子蓋好剩下的房子給縣政府用嘛
transcript.whisperx[476].start 13042.776
transcript.whisperx[476].end 13055.686
transcript.whisperx[476].text 你要浪費那個錢幹什麼我搞不懂你們後勤人員在幹什麼我也跟你們建議了 你們也不聽不過這已經算了啦 沒關係啦目已成舟啦有需要蓋個房子嘛簡單的房子讓他住嘛用那個貨櫃屋 拿了幾十個 一百個把它疊起來 裡面跟鬼一樣就是貨櫃啊 還不是
transcript.whisperx[477].start 13072.568
transcript.whisperx[477].end 13080.472
transcript.whisperx[477].text 他不是一個貨櫃一個貨櫃疊起來不是我有去看那個臨時聽射你去馬祖沒去參觀過聽射嗎我去看臨時聽射也去看然後開工典禮我也去一個接一個
transcript.whisperx[478].start 13086.929
transcript.whisperx[478].end 13113.892
transcript.whisperx[478].text 就是貨櫃啊OK 來委員我們一定來把他們的居住環境做很好的改善好不好但是要蓋一棟房子來做臨時聽測這個部分可能還涉及土地等等各方面的問題跟土地什麼關係土地是我們提供給你的土地是縣政府提供給你沒有土地沒關係啊只是你們因為說錢要比較多一點就如此而已嘛
transcript.whisperx[479].start 13115.838
transcript.whisperx[479].end 13122.766
transcript.whisperx[479].text 凡事還是靠需求,未來海巡,未來海巡隊的建築,未來海巡隊的建築完成以後土地也給你啦我也親自陪著縣長去看過了你們已經三年了,連動都不動我們把土地收回來
transcript.whisperx[480].start 13136.702
transcript.whisperx[480].end 13153.705
transcript.whisperx[480].text 委員我們一直有在走程序請你們放心因為他必須要走三階段程序要走三四年嗎我早知道等你們程序走完才答應你們維持這個三階段我們一直沒辦法突破這一點你們跟縣長說明一下好不好可是他沒辦法被當作國防設施你說走什麼程序 三階段對 三階段審議現在走到哪一階段
transcript.whisperx[481].start 13163.633
transcript.whisperx[481].end 13170.704
transcript.whisperx[481].text 還在一階段還是二階段第二階段還是二階段我回去找縣政府發個函給你們我們跟你終止
transcript.whisperx[482].start 13174.286
transcript.whisperx[482].end 13195.501
transcript.whisperx[482].text 我們跟你統治你慢慢去三階段啦這個委員是氣話我了解但是三階段的問題我們一直非常非常希望能夠突破但是畢竟我們不是國防部當初救生大隊在那邊我花了很多苦水把救生大隊把它弄走
transcript.whisperx[483].start 13196.502
transcript.whisperx[483].end 13222.854
transcript.whisperx[483].text 然後把土地給你們不過委員我們已經走到第二階段也算是一個突破我跟你講你跟上面報告再給你兩個月時間不行的話我們終止我跟你講這個土地不給你們我知道委員關心的程度讓委員說了這樣的氣話但是我們事實上走三階段是一直在努力你們話講 主委你話講再多沒有用我跟你講你給我擋物的放在閒置了三四年了我們憲政的發展讓你這樣子玩法不可能的
transcript.whisperx[484].start 13224.093
transcript.whisperx[484].end 13243.159
transcript.whisperx[484].text 我們現在不可能讓你這樣玩啦我們也很關心它中間的設計所以在這個設計的過程當中我們也非常非常聽取地方的意見然後做了很多很多的修正委員也知道那些過程所以委員我們不是閒置喔我們不知道這個過程喔 署長你會後來跟我報告一下好不好哪有這樣閒置在這個地方呢好 另外還有一個問題 主委
transcript.whisperx[485].start 13256.123
transcript.whisperx[485].end 13270.659
transcript.whisperx[485].text 前幾天發現一條豬死豬啊在我們北竿的秦碧海岸發現這條豬發現的是紅斑點是陽性反應是豬瘟你們怎麼處理
transcript.whisperx[486].start 13271.761
transcript.whisperx[486].end 13287.248
transcript.whisperx[486].text 我們按照SOP非常謹慎的處理完畢最後有焚毀跟掩埋焚毀?有焚毀跟掩埋你搞錯了吧?是掩埋欸焚毀以後才掩埋我們不可能不焚毀他去哪裡焚毀啊?
transcript.whisperx[487].start 13288.408
transcript.whisperx[487].end 13295.893
transcript.whisperx[487].text 在北竿秦碧哪個焚化廠來焚毀跟委員報告我們根據防監所的SOP我們有焚毀跟掩埋事後我們會把整個影片給委員看好不好請問有沒有放心我們不會不焚毀而掩埋最後一個問題 防疫有沒有來
transcript.whisperx[488].start 13318.564
transcript.whisperx[488].end 13347.468
transcript.whisperx[488].text 你們中正機場最讓人詬病的是國人進來回家歸心事件你們搞了一套人馬在那邊是不是排隊排好久好久我跟你講現在正好朱恩出來了這個到底朱恩怎麼出來了他是在台中發現的不是桃園你出來的話海關這邊又有一套防疫人員在那邊苟文來文去的裡面又搞一套全世界哪個國家這樣子搞
transcript.whisperx[489].start 13348.274
transcript.whisperx[489].end 13375.138
transcript.whisperx[489].text 然後這個老闆也來找我 哎呀你如果這個不給我們做的話我們這些人要失業了我也從善如流啊 我也不砍你們預算啊不砍你們預算但你服務態度要好 速度要快嘛對不對 你那個檢查呢翻箱倒櫃不是翻箱倒櫃 皮包打開 拉鍊打開你一個一個在那邊弄 共產黨也沒這樣搞啊全世界哪個國家 你舉例說明給我聽聽看
transcript.whisperx[490].start 13376.488
transcript.whisperx[490].end 13397.939
transcript.whisperx[490].text 你是署長嗎是 委員好 這個表示真的大家都很嚴格在做執行那這個確實也是它的必要性因為畢竟非洲豬瘟它可以經由我們人為攜帶或我們的腳底等等這些病人會有交叉的感染那至於說我們的服務態度或者是速度方面我想我們都來個不是你這個兩套是哪一國有
transcript.whisperx[491].start 13400.478
transcript.whisperx[491].end 13419.127
transcript.whisperx[491].text 日本有嗎 馬來西亞有嗎 香港有嗎全世界已經39個國家都有非洲豬瘟有人這樣搞兩套的防疫嗎我們通報現在台灣是變第40個那在亞洲地區不是我問你署長我們有哪一個國家搞兩套的這樣防疫像我們中正機場這樣即便台灣這麼嚴格我跟委員報告從我們
transcript.whisperx[492].start 13424.187
transcript.whisperx[492].end 13429.551
transcript.whisperx[492].text 手提行李的氣質桶裡面去檢測那你松山跟高雄呢松山跟高雄要不要搞都搞幾個沒關係連馬祖也來搞金門也來搞問題很大啦
transcript.whisperx[493].start 13436.99
transcript.whisperx[493].end 13465.672
transcript.whisperx[493].text 報告委員那松山跟這個台中的部分是因為腹地的關係但是因為他全部都要經過X光的做處理跟檢疫權的處理但是因為他人流比較多風險比較高所以這個部分其實也是幫我們旅客啦為什麼因為你在這個的首體安檢過假設你被檢出你不用罰可是你到X光機你被檢出那麼他就會裁罰裁罰一次就20萬
transcript.whisperx[494].start 13467.353
transcript.whisperx[494].end 13490.949
transcript.whisperx[494].text 這是你講的話啦 沒關係啦你不要在松山機場出事情不要在高雄出事情你不要在這個金門馬祖出事情金門馬祖出事情啊你也搞一套啊 你也搞一套來啊你叫哪一家公司那個也來啊我懷疑這個朱溫哪裡來是海邊來的啦 我跟你講啦所以今天海關署長關鍵署長也在這邊嘛其實我跟你講 他要從海邊來啊
transcript.whisperx[495].start 13495.657
transcript.whisperx[495].end 13516.321
transcript.whisperx[495].text 海邊漁船走失的多少啊多少豬肉多少牛肉啊你進往這邊金門馬祖那邊去查幹什麼金門發生豬瘟了嗎金門發生口蹄馬祖豬肉也要管制金門跟馬祖差很遠欸差很遠很遠金門跟馬祖沒有互通你知道嗎金門人到馬祖要從松山機場轉機再過來一點關聯都沒有啊
transcript.whisperx[496].start 13523.925
transcript.whisperx[496].end 13553.227
transcript.whisperx[496].text 所以你們的觀念要弄清楚好不好你在防疫署我覺得有狀況這次非洲豬瘟我想問題我直接的判斷應該從海邊出現尤其武吉港那邊是從海邊出現任何的可疑的我們都會追查國人同胞會把牛肉乾豬肉乾帶進來我看機率不高啦你們要搞兩套人馬我看你們什麼時候沒完沒了的嗎
transcript.whisperx[497].start 13554.568
transcript.whisperx[497].end 13580.184
transcript.whisperx[497].text 這個單位沒完沒了嗎一直這樣搞下去搞兩套嗎國人在罵死了你知道嗎哪一個國人回國了嗎被你們這樣拿去搞這個報告委員請體諒一下確實基於防疫的立場我不是體諒你啊大家都要體諒你還是要加強提高整個的一個防疫的措施所以這個真的是有必要畢竟是我們背後的產生這麼大那你松山機長也來啊
transcript.whisperx[498].start 13580.973
transcript.whisperx[498].end 13588.478
transcript.whisperx[498].text 小港機場也來啊 為什麼不來也都有在做評估 都是國際嘛但是因為是腹地的關係你為什麼馬祖不搞一套 你搞一套給我那問題也很大 也要搞兩套的防疫嘛是不是 你們錢很多嗎
transcript.whisperx[499].start 13597.862
transcript.whisperx[499].end 13615.089
transcript.whisperx[499].text 你們去想一想好不好你們自己回國的時候你是走哪個通道啊你走綠色通道嗎你也去排隊假設我們從日本來的話那麼我們就不會走我們走綠線就不會走那裡但是其他39個國家進來的就一定要走首檢區
transcript.whisperx[500].start 13616.87
transcript.whisperx[500].end 13646.236
transcript.whisperx[500].text 香港 澳門 日本 馬來西亞 泰國有搞兩套嗎 還有我跟委員報告還有搞兩套嗎 也沒看到豬瘟出現啊從我們氣質區的採樣送檢那個陽性比例達到10%所以這個是我們不得不謹慎對待之啦我跟你講啦 你海邊都注意一下啦海邊啦 我們跟海巡的協助海巡啦 海關啦 你對海邊 海岸啦你多注意一下啦莫名其妙這個死豬都不知道從哪裡跑出來
transcript.whisperx[501].start 13646.857
transcript.whisperx[501].end 13673.728
transcript.whisperx[501].text 我們馬祖都跑出來啊是不是難道是中山機場入境呢還是中山機場入境呢然後跑到馬祖去傳染給豬嗎怎麼可能在馬祖的這個驗出是陽性以後我們就整個都公告禁止到11月1號不行他的豬肉跟所有的加工品都不能到台灣跟所有的離島還有馬祖的雞蛋不能過來我們土生的雞蛋要檢查
transcript.whisperx[502].start 13674.925
transcript.whisperx[502].end 13699.682
transcript.whisperx[502].text 那你台灣的雞蛋到馬祖區要被檢查 也要檢查喔也要貼我們馬祖養的羊沒有進雞蛋進什麼雞蛋我們父母親在馬祖辛辛苦苦養一些土雞女兒在台灣做月子 土雞帶到台灣去要經過你們防疫人員檢疫我請問這什麼道理啊我們是赤藤公民嗎 還是什麼
transcript.whisperx[503].start 13701.638
transcript.whisperx[503].end 13718.465
transcript.whisperx[503].text 馬祖是不是中華民國的豬餵我現在跟你講雞的啦雞跟鴨跟羊啦我們羊肉帶來我們有養羊啊帶來你們也要說要檢疫啊要防疫啊以前要農會開證明欸農會怎麼開沒有道理嘛 是不是
transcript.whisperx[504].start 13722.284
transcript.whisperx[504].end 13751.614
transcript.whisperx[504].text 我們的雞拿到台灣來可是報告委員畢竟這個離島包括馬祖來講距離大陸太近了所以那邊的風險相對高所以我們要特別的注意因為從我們的這個資料顯示上來講其實有很多的風險都是來自於中國大陸所以我們更要針對這個邊境尤其是在離島的靠近我在馬祖生活的七十幾年我吃了以後
transcript.whisperx[505].start 13752.657
transcript.whisperx[505].end 13781.599
transcript.whisperx[505].text 也沒病也沒幹什麼的很像你們這些檢疫人員看到你們就生病了我吃的都沒病啊你是看了一眼就生病了很奇怪有那麼緊張嗎防疫是要做我覺得同意但是你們嚴格到我們自己國人養的雞跟雞生的蛋跟我們國人養的羊也要經過你們防疫檢查才能夠進到台灣來
transcript.whisperx[506].start 13783.254
transcript.whisperx[506].end 13792.45
transcript.whisperx[506].text 我們上飛機要檢查我從來沒有為難過你們召委你請坐沒關係你不要急 好吧因為時間的關係 召委已經站起來了
transcript.whisperx[507].start 13796.937
transcript.whisperx[507].end 13814.023
transcript.whisperx[507].text 你們回去檢討一下我剛才所講的問題如果有檢討的空間我們檢討但也請委員很多鄉親打電話罵我防疫是要全國一致性啦不能有任何的破口謝謝謝謝陳雪生委員的質詢那接下來謝謝署長洪孟凱委員不在鍾嘉斌委員不在
transcript.whisperx[508].start 13824.062
transcript.whisperx[508].end 13851.005
transcript.whisperx[508].text 登記發言委員出不在場者外其餘均已發言完畢答詢結束委員高金素美黃婕委員所提書面質詢列入紀錄刊登公報書面質詢和未及答覆部分請相關部委一週內以書面答覆並資付資本會討論事項所列議案定期繼續審查本次會議到此結束現在散會