iVOD / 16293

Field Value
video_url https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/bfaf9b39ac01a68524e6619f7e9d11f80a73ccf8a48a7092b104c5adbfed68f78e4a16cfe9c46cf35ea18f28b6918d91.mp4/playlist.m3u8
會議時間 2024-11-21T09:00:00+08:00
會議名稱 立法院第11屆第2會期社會福利及衛生環境委員會第10次全體委員會議(事由:審查中華民國114年度中央政府總預算案關於衛生福利部主管預算(公務預算及基金)。(僅詢答,113年12月6日下午5時截止收案))
委員名稱 完整會議
影片長度 22763
委員發言時間 08:31:37 - 14:51:00
transcript.pyannote[0].speaker SPEAKER_38
transcript.pyannote[0].start 561.10784375
transcript.pyannote[0].end 562.69409375
transcript.pyannote[1].speaker SPEAKER_08
transcript.pyannote[1].start 1820.60721875
transcript.pyannote[1].end 1821.02909375
transcript.pyannote[2].speaker SPEAKER_08
transcript.pyannote[2].start 1823.32409375
transcript.pyannote[2].end 1827.91409375
transcript.pyannote[3].speaker SPEAKER_08
transcript.pyannote[3].start 1828.94346875
transcript.pyannote[3].end 1833.11159375
transcript.pyannote[4].speaker SPEAKER_20
transcript.pyannote[4].start 1833.48284375
transcript.pyannote[4].end 1835.03534375
transcript.pyannote[5].speaker SPEAKER_21
transcript.pyannote[5].start 1835.03534375
transcript.pyannote[5].end 1926.10971875
transcript.pyannote[6].speaker SPEAKER_08
transcript.pyannote[6].start 1934.04096875
transcript.pyannote[6].end 1938.91784375
transcript.pyannote[7].speaker SPEAKER_08
transcript.pyannote[7].start 1940.36909375
transcript.pyannote[7].end 1942.34346875
transcript.pyannote[8].speaker SPEAKER_08
transcript.pyannote[8].start 1942.90034375
transcript.pyannote[8].end 1954.57784375
transcript.pyannote[9].speaker SPEAKER_08
transcript.pyannote[9].start 1954.66221875
transcript.pyannote[9].end 1959.01596875
transcript.pyannote[10].speaker SPEAKER_08
transcript.pyannote[10].start 1959.52221875
transcript.pyannote[10].end 1963.35284375
transcript.pyannote[11].speaker SPEAKER_08
transcript.pyannote[11].start 1964.16284375
transcript.pyannote[11].end 1965.88409375
transcript.pyannote[12].speaker SPEAKER_08
transcript.pyannote[12].start 1969.79909375
transcript.pyannote[12].end 1970.84534375
transcript.pyannote[13].speaker SPEAKER_08
transcript.pyannote[13].start 1974.47346875
transcript.pyannote[13].end 1975.80659375
transcript.pyannote[14].speaker SPEAKER_08
transcript.pyannote[14].start 1978.25346875
transcript.pyannote[14].end 1985.64471875
transcript.pyannote[15].speaker SPEAKER_08
transcript.pyannote[15].start 1989.57659375
transcript.pyannote[15].end 1992.12471875
transcript.pyannote[16].speaker SPEAKER_08
transcript.pyannote[16].start 1994.43659375
transcript.pyannote[16].end 1996.76534375
transcript.pyannote[17].speaker SPEAKER_08
transcript.pyannote[17].start 1999.36409375
transcript.pyannote[17].end 2002.78971875
transcript.pyannote[18].speaker SPEAKER_08
transcript.pyannote[18].start 2006.55284375
transcript.pyannote[18].end 2011.04159375
transcript.pyannote[19].speaker SPEAKER_08
transcript.pyannote[19].start 2013.80909375
transcript.pyannote[19].end 2017.38659375
transcript.pyannote[20].speaker SPEAKER_08
transcript.pyannote[20].start 2020.94721875
transcript.pyannote[20].end 2024.01846875
transcript.pyannote[21].speaker SPEAKER_08
transcript.pyannote[21].start 2027.08971875
transcript.pyannote[21].end 2029.04721875
transcript.pyannote[22].speaker SPEAKER_08
transcript.pyannote[22].start 2031.49409375
transcript.pyannote[22].end 2034.14346875
transcript.pyannote[23].speaker SPEAKER_08
transcript.pyannote[23].start 2036.77596875
transcript.pyannote[23].end 2038.07534375
transcript.pyannote[24].speaker SPEAKER_08
transcript.pyannote[24].start 2038.46346875
transcript.pyannote[24].end 2040.30284375
transcript.pyannote[25].speaker SPEAKER_08
transcript.pyannote[25].start 2041.70346875
transcript.pyannote[25].end 2042.10846875
transcript.pyannote[26].speaker SPEAKER_08
transcript.pyannote[26].start 2043.01971875
transcript.pyannote[26].end 2045.39909375
transcript.pyannote[27].speaker SPEAKER_08
transcript.pyannote[27].start 2047.81221875
transcript.pyannote[27].end 2051.17034375
transcript.pyannote[28].speaker SPEAKER_08
transcript.pyannote[28].start 2053.09409375
transcript.pyannote[28].end 2056.48596875
transcript.pyannote[29].speaker SPEAKER_08
transcript.pyannote[29].start 2057.86971875
transcript.pyannote[29].end 2058.29159375
transcript.pyannote[30].speaker SPEAKER_08
transcript.pyannote[30].start 2058.98346875
transcript.pyannote[30].end 2061.81846875
transcript.pyannote[31].speaker SPEAKER_08
transcript.pyannote[31].start 2063.03346875
transcript.pyannote[31].end 2063.53971875
transcript.pyannote[32].speaker SPEAKER_08
transcript.pyannote[32].start 2064.06284375
transcript.pyannote[32].end 2066.18909375
transcript.pyannote[33].speaker SPEAKER_08
transcript.pyannote[33].start 2068.24784375
transcript.pyannote[33].end 2069.29409375
transcript.pyannote[34].speaker SPEAKER_08
transcript.pyannote[34].start 2069.81721875
transcript.pyannote[34].end 2071.67346875
transcript.pyannote[35].speaker SPEAKER_08
transcript.pyannote[35].start 2074.49159375
transcript.pyannote[35].end 2076.90471875
transcript.pyannote[36].speaker SPEAKER_08
transcript.pyannote[36].start 2079.40221875
transcript.pyannote[36].end 2080.95471875
transcript.pyannote[37].speaker SPEAKER_08
transcript.pyannote[37].start 2080.97159375
transcript.pyannote[37].end 2082.69284375
transcript.pyannote[38].speaker SPEAKER_08
transcript.pyannote[38].start 2084.24534375
transcript.pyannote[38].end 2086.37159375
transcript.pyannote[39].speaker SPEAKER_08
transcript.pyannote[39].start 2090.60721875
transcript.pyannote[39].end 2095.53471875
transcript.pyannote[40].speaker SPEAKER_08
transcript.pyannote[40].start 2095.73721875
transcript.pyannote[40].end 2095.99034375
transcript.pyannote[41].speaker SPEAKER_08
transcript.pyannote[41].start 2096.56409375
transcript.pyannote[41].end 2096.73284375
transcript.pyannote[42].speaker SPEAKER_08
transcript.pyannote[42].start 2096.88471875
transcript.pyannote[42].end 2101.32284375
transcript.pyannote[43].speaker SPEAKER_08
transcript.pyannote[43].start 2102.48721875
transcript.pyannote[43].end 2104.54596875
transcript.pyannote[44].speaker SPEAKER_08
transcript.pyannote[44].start 2106.01409375
transcript.pyannote[44].end 2106.45284375
transcript.pyannote[45].speaker SPEAKER_08
transcript.pyannote[45].start 2107.17846875
transcript.pyannote[45].end 2109.82784375
transcript.pyannote[46].speaker SPEAKER_08
transcript.pyannote[46].start 2111.14409375
transcript.pyannote[46].end 2113.03409375
transcript.pyannote[47].speaker SPEAKER_08
transcript.pyannote[47].start 2116.69596875
transcript.pyannote[47].end 2118.36659375
transcript.pyannote[48].speaker SPEAKER_08
transcript.pyannote[48].start 2119.24409375
transcript.pyannote[48].end 2120.07096875
transcript.pyannote[49].speaker SPEAKER_08
transcript.pyannote[49].start 2120.40846875
transcript.pyannote[49].end 2122.06221875
transcript.pyannote[50].speaker SPEAKER_08
transcript.pyannote[50].start 2122.61909375
transcript.pyannote[50].end 2122.92284375
transcript.pyannote[51].speaker SPEAKER_08
transcript.pyannote[51].start 2126.55096875
transcript.pyannote[51].end 2127.10784375
transcript.pyannote[52].speaker SPEAKER_38
transcript.pyannote[52].start 2127.10784375
transcript.pyannote[52].end 2127.17534375
transcript.pyannote[53].speaker SPEAKER_08
transcript.pyannote[53].start 2127.71534375
transcript.pyannote[53].end 2130.29721875
transcript.pyannote[54].speaker SPEAKER_08
transcript.pyannote[54].start 2130.60096875
transcript.pyannote[54].end 2132.57534375
transcript.pyannote[55].speaker SPEAKER_08
transcript.pyannote[55].start 2133.97596875
transcript.pyannote[55].end 2134.39784375
transcript.pyannote[56].speaker SPEAKER_08
transcript.pyannote[56].start 2137.16534375
transcript.pyannote[56].end 2143.18971875
transcript.pyannote[57].speaker SPEAKER_08
transcript.pyannote[57].start 2144.74221875
transcript.pyannote[57].end 2145.72096875
transcript.pyannote[58].speaker SPEAKER_08
transcript.pyannote[58].start 2146.26096875
transcript.pyannote[58].end 2148.99471875
transcript.pyannote[59].speaker SPEAKER_08
transcript.pyannote[59].start 2151.40784375
transcript.pyannote[59].end 2151.72846875
transcript.pyannote[60].speaker SPEAKER_08
transcript.pyannote[60].start 2152.28534375
transcript.pyannote[60].end 2154.29346875
transcript.pyannote[61].speaker SPEAKER_08
transcript.pyannote[61].start 2154.79971875
transcript.pyannote[61].end 2155.08659375
transcript.pyannote[62].speaker SPEAKER_08
transcript.pyannote[62].start 2166.54471875
transcript.pyannote[62].end 2169.41346875
transcript.pyannote[63].speaker SPEAKER_08
transcript.pyannote[63].start 2170.29096875
transcript.pyannote[63].end 2171.33721875
transcript.pyannote[64].speaker SPEAKER_08
transcript.pyannote[64].start 2172.18096875
transcript.pyannote[64].end 2174.50971875
transcript.pyannote[65].speaker SPEAKER_08
transcript.pyannote[65].start 2177.29409375
transcript.pyannote[65].end 2179.94346875
transcript.pyannote[66].speaker SPEAKER_08
transcript.pyannote[66].start 2180.73659375
transcript.pyannote[66].end 2182.93034375
transcript.pyannote[67].speaker SPEAKER_38
transcript.pyannote[67].start 2183.97659375
transcript.pyannote[67].end 2184.75284375
transcript.pyannote[68].speaker SPEAKER_08
transcript.pyannote[68].start 2184.75284375
transcript.pyannote[68].end 2184.76971875
transcript.pyannote[69].speaker SPEAKER_08
transcript.pyannote[69].start 2185.84971875
transcript.pyannote[69].end 2186.25471875
transcript.pyannote[70].speaker SPEAKER_08
transcript.pyannote[70].start 2187.53721875
transcript.pyannote[70].end 2190.00096875
transcript.pyannote[71].speaker SPEAKER_08
transcript.pyannote[71].start 2192.51534375
transcript.pyannote[71].end 2195.28284375
transcript.pyannote[72].speaker SPEAKER_08
transcript.pyannote[72].start 2195.53596875
transcript.pyannote[72].end 2196.05909375
transcript.pyannote[73].speaker SPEAKER_08
transcript.pyannote[73].start 2200.04159375
transcript.pyannote[73].end 2202.15096875
transcript.pyannote[74].speaker SPEAKER_08
transcript.pyannote[74].start 2202.92721875
transcript.pyannote[74].end 2203.88909375
transcript.pyannote[75].speaker SPEAKER_08
transcript.pyannote[75].start 2204.64846875
transcript.pyannote[75].end 2205.03659375
transcript.pyannote[76].speaker SPEAKER_08
transcript.pyannote[76].start 2207.01096875
transcript.pyannote[76].end 2210.67284375
transcript.pyannote[77].speaker SPEAKER_08
transcript.pyannote[77].start 2211.97221875
transcript.pyannote[77].end 2212.37721875
transcript.pyannote[78].speaker SPEAKER_08
transcript.pyannote[78].start 2212.96784375
transcript.pyannote[78].end 2213.37284375
transcript.pyannote[79].speaker SPEAKER_08
transcript.pyannote[79].start 2213.99721875
transcript.pyannote[79].end 2218.06409375
transcript.pyannote[80].speaker SPEAKER_08
transcript.pyannote[80].start 2219.58284375
transcript.pyannote[80].end 2219.90346875
transcript.pyannote[81].speaker SPEAKER_08
transcript.pyannote[81].start 2220.96659375
transcript.pyannote[81].end 2224.29096875
transcript.pyannote[82].speaker SPEAKER_08
transcript.pyannote[82].start 2225.45534375
transcript.pyannote[82].end 2225.92784375
transcript.pyannote[83].speaker SPEAKER_08
transcript.pyannote[83].start 2225.94471875
transcript.pyannote[83].end 2225.96159375
transcript.pyannote[84].speaker SPEAKER_08
transcript.pyannote[84].start 2228.64471875
transcript.pyannote[84].end 2230.93971875
transcript.pyannote[85].speaker SPEAKER_25
transcript.pyannote[85].start 2230.93971875
transcript.pyannote[85].end 2231.12534375
transcript.pyannote[86].speaker SPEAKER_08
transcript.pyannote[86].start 2231.12534375
transcript.pyannote[86].end 2231.17596875
transcript.pyannote[87].speaker SPEAKER_08
transcript.pyannote[87].start 2231.63159375
transcript.pyannote[87].end 2232.18846875
transcript.pyannote[88].speaker SPEAKER_08
transcript.pyannote[88].start 2240.89596875
transcript.pyannote[88].end 2245.18221875
transcript.pyannote[89].speaker SPEAKER_08
transcript.pyannote[89].start 2245.58721875
transcript.pyannote[89].end 2249.09721875
transcript.pyannote[90].speaker SPEAKER_08
transcript.pyannote[90].start 2249.53596875
transcript.pyannote[90].end 2273.38034375
transcript.pyannote[91].speaker SPEAKER_08
transcript.pyannote[91].start 2273.54909375
transcript.pyannote[91].end 2273.80221875
transcript.pyannote[92].speaker SPEAKER_29
transcript.pyannote[92].start 2280.01221875
transcript.pyannote[92].end 2280.61971875
transcript.pyannote[93].speaker SPEAKER_29
transcript.pyannote[93].start 2281.12596875
transcript.pyannote[93].end 2290.84596875
transcript.pyannote[94].speaker SPEAKER_29
transcript.pyannote[94].start 2290.93034375
transcript.pyannote[94].end 2299.90784375
transcript.pyannote[95].speaker SPEAKER_29
transcript.pyannote[95].start 2299.97534375
transcript.pyannote[95].end 2302.28721875
transcript.pyannote[96].speaker SPEAKER_29
transcript.pyannote[96].start 2303.90721875
transcript.pyannote[96].end 2309.89784375
transcript.pyannote[97].speaker SPEAKER_29
transcript.pyannote[97].start 2310.58971875
transcript.pyannote[97].end 2314.13346875
transcript.pyannote[98].speaker SPEAKER_29
transcript.pyannote[98].start 2315.12909375
transcript.pyannote[98].end 2328.76409375
transcript.pyannote[99].speaker SPEAKER_29
transcript.pyannote[99].start 2329.48971875
transcript.pyannote[99].end 2338.92284375
transcript.pyannote[100].speaker SPEAKER_29
transcript.pyannote[100].start 2339.81721875
transcript.pyannote[100].end 2341.99409375
transcript.pyannote[101].speaker SPEAKER_29
transcript.pyannote[101].start 2343.56346875
transcript.pyannote[101].end 2346.14534375
transcript.pyannote[102].speaker SPEAKER_29
transcript.pyannote[102].start 2346.76971875
transcript.pyannote[102].end 2358.59909375
transcript.pyannote[103].speaker SPEAKER_29
transcript.pyannote[103].start 2359.13909375
transcript.pyannote[103].end 2362.07534375
transcript.pyannote[104].speaker SPEAKER_29
transcript.pyannote[104].start 2362.75034375
transcript.pyannote[104].end 2369.34846875
transcript.pyannote[105].speaker SPEAKER_29
transcript.pyannote[105].start 2370.17534375
transcript.pyannote[105].end 2383.15221875
transcript.pyannote[106].speaker SPEAKER_29
transcript.pyannote[106].start 2384.06346875
transcript.pyannote[106].end 2387.43846875
transcript.pyannote[107].speaker SPEAKER_29
transcript.pyannote[107].start 2387.92784375
transcript.pyannote[107].end 2411.46846875
transcript.pyannote[108].speaker SPEAKER_29
transcript.pyannote[108].start 2412.37971875
transcript.pyannote[108].end 2413.40909375
transcript.pyannote[109].speaker SPEAKER_29
transcript.pyannote[109].start 2414.53971875
transcript.pyannote[109].end 2427.38159375
transcript.pyannote[110].speaker SPEAKER_29
transcript.pyannote[110].start 2428.24221875
transcript.pyannote[110].end 2431.80284375
transcript.pyannote[111].speaker SPEAKER_29
transcript.pyannote[111].start 2432.10659375
transcript.pyannote[111].end 2436.52784375
transcript.pyannote[112].speaker SPEAKER_29
transcript.pyannote[112].start 2436.94971875
transcript.pyannote[112].end 2439.44721875
transcript.pyannote[113].speaker SPEAKER_29
transcript.pyannote[113].start 2439.91971875
transcript.pyannote[113].end 2445.43784375
transcript.pyannote[114].speaker SPEAKER_29
transcript.pyannote[114].start 2445.80909375
transcript.pyannote[114].end 2447.22659375
transcript.pyannote[115].speaker SPEAKER_29
transcript.pyannote[115].start 2448.74534375
transcript.pyannote[115].end 2455.51221875
transcript.pyannote[116].speaker SPEAKER_29
transcript.pyannote[116].start 2456.27159375
transcript.pyannote[116].end 2462.02596875
transcript.pyannote[117].speaker SPEAKER_29
transcript.pyannote[117].start 2462.53221875
transcript.pyannote[117].end 2470.61534375
transcript.pyannote[118].speaker SPEAKER_29
transcript.pyannote[118].start 2472.15096875
transcript.pyannote[118].end 2478.90096875
transcript.pyannote[119].speaker SPEAKER_29
transcript.pyannote[119].start 2480.23409375
transcript.pyannote[119].end 2484.57096875
transcript.pyannote[120].speaker SPEAKER_29
transcript.pyannote[120].start 2484.92534375
transcript.pyannote[120].end 2499.84284375
transcript.pyannote[121].speaker SPEAKER_29
transcript.pyannote[121].start 2500.93971875
transcript.pyannote[121].end 2504.51721875
transcript.pyannote[122].speaker SPEAKER_29
transcript.pyannote[122].start 2505.44534375
transcript.pyannote[122].end 2524.29471875
transcript.pyannote[123].speaker SPEAKER_29
transcript.pyannote[123].start 2524.91909375
transcript.pyannote[123].end 2578.36221875
transcript.pyannote[124].speaker SPEAKER_29
transcript.pyannote[124].start 2578.83471875
transcript.pyannote[124].end 2579.66159375
transcript.pyannote[125].speaker SPEAKER_29
transcript.pyannote[125].start 2580.10034375
transcript.pyannote[125].end 2614.72784375
transcript.pyannote[126].speaker SPEAKER_29
transcript.pyannote[126].start 2615.57159375
transcript.pyannote[126].end 2616.02721875
transcript.pyannote[127].speaker SPEAKER_29
transcript.pyannote[127].start 2616.80346875
transcript.pyannote[127].end 2617.66409375
transcript.pyannote[128].speaker SPEAKER_29
transcript.pyannote[128].start 2618.35596875
transcript.pyannote[128].end 2639.66909375
transcript.pyannote[129].speaker SPEAKER_38
transcript.pyannote[129].start 2640.95159375
transcript.pyannote[129].end 2641.08659375
transcript.pyannote[130].speaker SPEAKER_08
transcript.pyannote[130].start 2645.76096875
transcript.pyannote[130].end 2647.87034375
transcript.pyannote[131].speaker SPEAKER_08
transcript.pyannote[131].start 2649.87846875
transcript.pyannote[131].end 2655.05909375
transcript.pyannote[132].speaker SPEAKER_08
transcript.pyannote[132].start 2660.15534375
transcript.pyannote[132].end 2663.69909375
transcript.pyannote[133].speaker SPEAKER_08
transcript.pyannote[133].start 2664.23909375
transcript.pyannote[133].end 2669.03159375
transcript.pyannote[134].speaker SPEAKER_08
transcript.pyannote[134].start 2669.06534375
transcript.pyannote[134].end 2676.23721875
transcript.pyannote[135].speaker SPEAKER_08
transcript.pyannote[135].start 2676.69284375
transcript.pyannote[135].end 2677.78971875
transcript.pyannote[136].speaker SPEAKER_08
transcript.pyannote[136].start 2679.03846875
transcript.pyannote[136].end 2681.77221875
transcript.pyannote[137].speaker SPEAKER_08
transcript.pyannote[137].start 2682.44721875
transcript.pyannote[137].end 2684.82659375
transcript.pyannote[138].speaker SPEAKER_08
transcript.pyannote[138].start 2685.82221875
transcript.pyannote[138].end 2690.68221875
transcript.pyannote[139].speaker SPEAKER_08
transcript.pyannote[139].start 2690.98596875
transcript.pyannote[139].end 2691.49221875
transcript.pyannote[140].speaker SPEAKER_24
transcript.pyannote[140].start 2696.68971875
transcript.pyannote[140].end 2698.37721875
transcript.pyannote[141].speaker SPEAKER_07
transcript.pyannote[141].start 2698.64721875
transcript.pyannote[141].end 2699.30534375
transcript.pyannote[142].speaker SPEAKER_29
transcript.pyannote[142].start 2707.72596875
transcript.pyannote[142].end 2708.29971875
transcript.pyannote[143].speaker SPEAKER_24
transcript.pyannote[143].start 2708.29971875
transcript.pyannote[143].end 2710.59471875
transcript.pyannote[144].speaker SPEAKER_24
transcript.pyannote[144].start 2710.83096875
transcript.pyannote[144].end 2713.00784375
transcript.pyannote[145].speaker SPEAKER_24
transcript.pyannote[145].start 2715.20159375
transcript.pyannote[145].end 2715.43784375
transcript.pyannote[146].speaker SPEAKER_24
transcript.pyannote[146].start 2715.75846875
transcript.pyannote[146].end 2716.06221875
transcript.pyannote[147].speaker SPEAKER_29
transcript.pyannote[147].start 2715.77534375
transcript.pyannote[147].end 2720.09534375
transcript.pyannote[148].speaker SPEAKER_24
transcript.pyannote[148].start 2717.37846875
transcript.pyannote[148].end 2717.98596875
transcript.pyannote[149].speaker SPEAKER_24
transcript.pyannote[149].start 2718.07034375
transcript.pyannote[149].end 2718.57659375
transcript.pyannote[150].speaker SPEAKER_24
transcript.pyannote[150].start 2719.30221875
transcript.pyannote[150].end 2725.83284375
transcript.pyannote[151].speaker SPEAKER_29
transcript.pyannote[151].start 2726.82846875
transcript.pyannote[151].end 2730.03471875
transcript.pyannote[152].speaker SPEAKER_24
transcript.pyannote[152].start 2730.16971875
transcript.pyannote[152].end 2731.31721875
transcript.pyannote[153].speaker SPEAKER_29
transcript.pyannote[153].start 2731.16534375
transcript.pyannote[153].end 2732.22846875
transcript.pyannote[154].speaker SPEAKER_24
transcript.pyannote[154].start 2732.53221875
transcript.pyannote[154].end 2738.74221875
transcript.pyannote[155].speaker SPEAKER_29
transcript.pyannote[155].start 2739.31596875
transcript.pyannote[155].end 2742.37034375
transcript.pyannote[156].speaker SPEAKER_29
transcript.pyannote[156].start 2742.47159375
transcript.pyannote[156].end 2744.58096875
transcript.pyannote[157].speaker SPEAKER_24
transcript.pyannote[157].start 2743.90596875
transcript.pyannote[157].end 2745.89721875
transcript.pyannote[158].speaker SPEAKER_29
transcript.pyannote[158].start 2747.82096875
transcript.pyannote[158].end 2748.63096875
transcript.pyannote[159].speaker SPEAKER_24
transcript.pyannote[159].start 2748.63096875
transcript.pyannote[159].end 2750.79096875
transcript.pyannote[160].speaker SPEAKER_29
transcript.pyannote[160].start 2750.89221875
transcript.pyannote[160].end 2751.28034375
transcript.pyannote[161].speaker SPEAKER_24
transcript.pyannote[161].start 2751.28034375
transcript.pyannote[161].end 2752.44471875
transcript.pyannote[162].speaker SPEAKER_29
transcript.pyannote[162].start 2753.33909375
transcript.pyannote[162].end 2754.30096875
transcript.pyannote[163].speaker SPEAKER_24
transcript.pyannote[163].start 2753.67659375
transcript.pyannote[163].end 2755.76909375
transcript.pyannote[164].speaker SPEAKER_29
transcript.pyannote[164].start 2756.27534375
transcript.pyannote[164].end 2760.39284375
transcript.pyannote[165].speaker SPEAKER_29
transcript.pyannote[165].start 2760.57846875
transcript.pyannote[165].end 2768.79659375
transcript.pyannote[166].speaker SPEAKER_38
transcript.pyannote[166].start 2765.23596875
transcript.pyannote[166].end 2765.25284375
transcript.pyannote[167].speaker SPEAKER_24
transcript.pyannote[167].start 2765.25284375
transcript.pyannote[167].end 2765.30346875
transcript.pyannote[168].speaker SPEAKER_24
transcript.pyannote[168].start 2765.79284375
transcript.pyannote[168].end 2765.84346875
transcript.pyannote[169].speaker SPEAKER_24
transcript.pyannote[169].start 2765.89409375
transcript.pyannote[169].end 2765.94471875
transcript.pyannote[170].speaker SPEAKER_24
transcript.pyannote[170].start 2765.96159375
transcript.pyannote[170].end 2766.02909375
transcript.pyannote[171].speaker SPEAKER_24
transcript.pyannote[171].start 2768.79659375
transcript.pyannote[171].end 2776.72784375
transcript.pyannote[172].speaker SPEAKER_29
transcript.pyannote[172].start 2769.52221875
transcript.pyannote[172].end 2769.79221875
transcript.pyannote[173].speaker SPEAKER_24
transcript.pyannote[173].start 2777.18346875
transcript.pyannote[173].end 2784.87846875
transcript.pyannote[174].speaker SPEAKER_24
transcript.pyannote[174].start 2785.18221875
transcript.pyannote[174].end 2786.81909375
transcript.pyannote[175].speaker SPEAKER_38
transcript.pyannote[175].start 2787.59534375
transcript.pyannote[175].end 2788.25346875
transcript.pyannote[176].speaker SPEAKER_24
transcript.pyannote[176].start 2788.65846875
transcript.pyannote[176].end 2789.94096875
transcript.pyannote[177].speaker SPEAKER_24
transcript.pyannote[177].start 2790.51471875
transcript.pyannote[177].end 2791.66221875
transcript.pyannote[178].speaker SPEAKER_29
transcript.pyannote[178].start 2791.98284375
transcript.pyannote[178].end 2792.37096875
transcript.pyannote[179].speaker SPEAKER_24
transcript.pyannote[179].start 2792.28659375
transcript.pyannote[179].end 2793.60284375
transcript.pyannote[180].speaker SPEAKER_29
transcript.pyannote[180].start 2793.43409375
transcript.pyannote[180].end 2794.58159375
transcript.pyannote[181].speaker SPEAKER_24
transcript.pyannote[181].start 2794.54784375
transcript.pyannote[181].end 2795.20596875
transcript.pyannote[182].speaker SPEAKER_24
transcript.pyannote[182].start 2795.89784375
transcript.pyannote[182].end 2796.80909375
transcript.pyannote[183].speaker SPEAKER_29
transcript.pyannote[183].start 2797.01159375
transcript.pyannote[183].end 2798.41221875
transcript.pyannote[184].speaker SPEAKER_24
transcript.pyannote[184].start 2798.26034375
transcript.pyannote[184].end 2799.20534375
transcript.pyannote[185].speaker SPEAKER_24
transcript.pyannote[185].start 2799.50909375
transcript.pyannote[185].end 2803.18784375
transcript.pyannote[186].speaker SPEAKER_29
transcript.pyannote[186].start 2803.03596875
transcript.pyannote[186].end 2805.39846875
transcript.pyannote[187].speaker SPEAKER_24
transcript.pyannote[187].start 2810.57909375
transcript.pyannote[187].end 2811.33846875
transcript.pyannote[188].speaker SPEAKER_24
transcript.pyannote[188].start 2812.36784375
transcript.pyannote[188].end 2823.47159375
transcript.pyannote[189].speaker SPEAKER_17
transcript.pyannote[189].start 2825.34471875
transcript.pyannote[189].end 2830.74471875
transcript.pyannote[190].speaker SPEAKER_24
transcript.pyannote[190].start 2832.06096875
transcript.pyannote[190].end 2833.71471875
transcript.pyannote[191].speaker SPEAKER_17
transcript.pyannote[191].start 2833.34346875
transcript.pyannote[191].end 2833.83284375
transcript.pyannote[192].speaker SPEAKER_24
transcript.pyannote[192].start 2833.95096875
transcript.pyannote[192].end 2834.23784375
transcript.pyannote[193].speaker SPEAKER_24
transcript.pyannote[193].start 2834.60909375
transcript.pyannote[193].end 2836.41471875
transcript.pyannote[194].speaker SPEAKER_24
transcript.pyannote[194].start 2837.12346875
transcript.pyannote[194].end 2842.40534375
transcript.pyannote[195].speaker SPEAKER_29
transcript.pyannote[195].start 2841.93284375
transcript.pyannote[195].end 2850.74159375
transcript.pyannote[196].speaker SPEAKER_24
transcript.pyannote[196].start 2850.74159375
transcript.pyannote[196].end 2851.31534375
transcript.pyannote[197].speaker SPEAKER_29
transcript.pyannote[197].start 2851.38284375
transcript.pyannote[197].end 2854.30221875
transcript.pyannote[198].speaker SPEAKER_24
transcript.pyannote[198].start 2851.51784375
transcript.pyannote[198].end 2851.97346875
transcript.pyannote[199].speaker SPEAKER_24
transcript.pyannote[199].start 2854.16721875
transcript.pyannote[199].end 2855.58471875
transcript.pyannote[200].speaker SPEAKER_29
transcript.pyannote[200].start 2855.07846875
transcript.pyannote[200].end 2856.24284375
transcript.pyannote[201].speaker SPEAKER_24
transcript.pyannote[201].start 2855.88846875
transcript.pyannote[201].end 2861.08596875
transcript.pyannote[202].speaker SPEAKER_29
transcript.pyannote[202].start 2857.55909375
transcript.pyannote[202].end 2861.06909375
transcript.pyannote[203].speaker SPEAKER_24
transcript.pyannote[203].start 2861.10284375
transcript.pyannote[203].end 2861.91284375
transcript.pyannote[204].speaker SPEAKER_38
transcript.pyannote[204].start 2861.91284375
transcript.pyannote[204].end 2861.92971875
transcript.pyannote[205].speaker SPEAKER_24
transcript.pyannote[205].start 2861.92971875
transcript.pyannote[205].end 2866.33409375
transcript.pyannote[206].speaker SPEAKER_24
transcript.pyannote[206].start 2866.63784375
transcript.pyannote[206].end 2869.72596875
transcript.pyannote[207].speaker SPEAKER_29
transcript.pyannote[207].start 2868.91596875
transcript.pyannote[207].end 2871.49784375
transcript.pyannote[208].speaker SPEAKER_29
transcript.pyannote[208].start 2872.74659375
transcript.pyannote[208].end 2872.94909375
transcript.pyannote[209].speaker SPEAKER_24
transcript.pyannote[209].start 2873.15159375
transcript.pyannote[209].end 2885.79096875
transcript.pyannote[210].speaker SPEAKER_17
transcript.pyannote[210].start 2873.84346875
transcript.pyannote[210].end 2874.24846875
transcript.pyannote[211].speaker SPEAKER_29
transcript.pyannote[211].start 2874.24846875
transcript.pyannote[211].end 2874.50159375
transcript.pyannote[212].speaker SPEAKER_17
transcript.pyannote[212].start 2874.50159375
transcript.pyannote[212].end 2874.97409375
transcript.pyannote[213].speaker SPEAKER_29
transcript.pyannote[213].start 2875.51409375
transcript.pyannote[213].end 2876.79659375
transcript.pyannote[214].speaker SPEAKER_17
transcript.pyannote[214].start 2876.79659375
transcript.pyannote[214].end 2877.77534375
transcript.pyannote[215].speaker SPEAKER_29
transcript.pyannote[215].start 2877.77534375
transcript.pyannote[215].end 2879.17596875
transcript.pyannote[216].speaker SPEAKER_17
transcript.pyannote[216].start 2879.17596875
transcript.pyannote[216].end 2879.19284375
transcript.pyannote[217].speaker SPEAKER_17
transcript.pyannote[217].start 2885.30159375
transcript.pyannote[217].end 2885.31846875
transcript.pyannote[218].speaker SPEAKER_29
transcript.pyannote[218].start 2885.31846875
transcript.pyannote[218].end 2885.65596875
transcript.pyannote[219].speaker SPEAKER_17
transcript.pyannote[219].start 2885.79096875
transcript.pyannote[219].end 2885.97659375
transcript.pyannote[220].speaker SPEAKER_24
transcript.pyannote[220].start 2885.97659375
transcript.pyannote[220].end 2887.44471875
transcript.pyannote[221].speaker SPEAKER_29
transcript.pyannote[221].start 2886.93846875
transcript.pyannote[221].end 2893.28346875
transcript.pyannote[222].speaker SPEAKER_24
transcript.pyannote[222].start 2889.28409375
transcript.pyannote[222].end 2890.87034375
transcript.pyannote[223].speaker SPEAKER_24
transcript.pyannote[223].start 2893.21596875
transcript.pyannote[223].end 2896.86096875
transcript.pyannote[224].speaker SPEAKER_17
transcript.pyannote[224].start 2895.76409375
transcript.pyannote[224].end 2900.08409375
transcript.pyannote[225].speaker SPEAKER_24
transcript.pyannote[225].start 2899.67909375
transcript.pyannote[225].end 2902.12596875
transcript.pyannote[226].speaker SPEAKER_17
transcript.pyannote[226].start 2902.12596875
transcript.pyannote[226].end 2904.57284375
transcript.pyannote[227].speaker SPEAKER_24
transcript.pyannote[227].start 2902.21034375
transcript.pyannote[227].end 2904.18471875
transcript.pyannote[228].speaker SPEAKER_24
transcript.pyannote[228].start 2904.57284375
transcript.pyannote[228].end 2913.31409375
transcript.pyannote[229].speaker SPEAKER_17
transcript.pyannote[229].start 2904.62346875
transcript.pyannote[229].end 2908.55534375
transcript.pyannote[230].speaker SPEAKER_29
transcript.pyannote[230].start 2912.52096875
transcript.pyannote[230].end 2917.60034375
transcript.pyannote[231].speaker SPEAKER_24
transcript.pyannote[231].start 2915.96346875
transcript.pyannote[231].end 2928.01221875
transcript.pyannote[232].speaker SPEAKER_29
transcript.pyannote[232].start 2917.75221875
transcript.pyannote[232].end 2918.30909375
transcript.pyannote[233].speaker SPEAKER_29
transcript.pyannote[233].start 2924.82284375
transcript.pyannote[233].end 2930.49284375
transcript.pyannote[234].speaker SPEAKER_24
transcript.pyannote[234].start 2928.02909375
transcript.pyannote[234].end 2928.04596875
transcript.pyannote[235].speaker SPEAKER_24
transcript.pyannote[235].start 2928.31596875
transcript.pyannote[235].end 2931.30284375
transcript.pyannote[236].speaker SPEAKER_24
transcript.pyannote[236].start 2932.21409375
transcript.pyannote[236].end 2935.67346875
transcript.pyannote[237].speaker SPEAKER_24
transcript.pyannote[237].start 2936.04471875
transcript.pyannote[237].end 2945.81534375
transcript.pyannote[238].speaker SPEAKER_29
transcript.pyannote[238].start 2940.56721875
transcript.pyannote[238].end 2940.58409375
transcript.pyannote[239].speaker SPEAKER_42
transcript.pyannote[239].start 2940.58409375
transcript.pyannote[239].end 2940.78659375
transcript.pyannote[240].speaker SPEAKER_42
transcript.pyannote[240].start 2942.98034375
transcript.pyannote[240].end 2946.20346875
transcript.pyannote[241].speaker SPEAKER_24
transcript.pyannote[241].start 2946.13596875
transcript.pyannote[241].end 2948.59971875
transcript.pyannote[242].speaker SPEAKER_42
transcript.pyannote[242].start 2948.27909375
transcript.pyannote[242].end 2948.58284375
transcript.pyannote[243].speaker SPEAKER_42
transcript.pyannote[243].start 2948.59971875
transcript.pyannote[243].end 2948.78534375
transcript.pyannote[244].speaker SPEAKER_24
transcript.pyannote[244].start 2948.98784375
transcript.pyannote[244].end 2962.08284375
transcript.pyannote[245].speaker SPEAKER_24
transcript.pyannote[245].start 2962.31909375
transcript.pyannote[245].end 2962.84221875
transcript.pyannote[246].speaker SPEAKER_29
transcript.pyannote[246].start 2963.53409375
transcript.pyannote[246].end 2965.42409375
transcript.pyannote[247].speaker SPEAKER_29
transcript.pyannote[247].start 2965.87971875
transcript.pyannote[247].end 2972.42721875
transcript.pyannote[248].speaker SPEAKER_24
transcript.pyannote[248].start 2966.41971875
transcript.pyannote[248].end 2967.17909375
transcript.pyannote[249].speaker SPEAKER_24
transcript.pyannote[249].start 2972.56221875
transcript.pyannote[249].end 2978.33346875
transcript.pyannote[250].speaker SPEAKER_29
transcript.pyannote[250].start 2973.35534375
transcript.pyannote[250].end 2973.60846875
transcript.pyannote[251].speaker SPEAKER_38
transcript.pyannote[251].start 2976.03846875
transcript.pyannote[251].end 2976.05534375
transcript.pyannote[252].speaker SPEAKER_29
transcript.pyannote[252].start 2976.05534375
transcript.pyannote[252].end 2977.15221875
transcript.pyannote[253].speaker SPEAKER_38
transcript.pyannote[253].start 2977.15221875
transcript.pyannote[253].end 2977.18596875
transcript.pyannote[254].speaker SPEAKER_38
transcript.pyannote[254].start 2978.18159375
transcript.pyannote[254].end 2978.70471875
transcript.pyannote[255].speaker SPEAKER_24
transcript.pyannote[255].start 2978.58659375
transcript.pyannote[255].end 3006.80159375
transcript.pyannote[256].speaker SPEAKER_29
transcript.pyannote[256].start 2987.09159375
transcript.pyannote[256].end 2987.12534375
transcript.pyannote[257].speaker SPEAKER_29
transcript.pyannote[257].start 2987.81721875
transcript.pyannote[257].end 2989.77471875
transcript.pyannote[258].speaker SPEAKER_29
transcript.pyannote[258].start 3007.20659375
transcript.pyannote[258].end 3011.32409375
transcript.pyannote[259].speaker SPEAKER_24
transcript.pyannote[259].start 3010.78409375
transcript.pyannote[259].end 3018.83346875
transcript.pyannote[260].speaker SPEAKER_29
transcript.pyannote[260].start 3019.05284375
transcript.pyannote[260].end 3022.71471875
transcript.pyannote[261].speaker SPEAKER_24
transcript.pyannote[261].start 3019.37346875
transcript.pyannote[261].end 3020.47034375
transcript.pyannote[262].speaker SPEAKER_32
transcript.pyannote[262].start 3023.13659375
transcript.pyannote[262].end 3033.64971875
transcript.pyannote[263].speaker SPEAKER_24
transcript.pyannote[263].start 3031.50659375
transcript.pyannote[263].end 3049.36034375
transcript.pyannote[264].speaker SPEAKER_32
transcript.pyannote[264].start 3034.07159375
transcript.pyannote[264].end 3034.22346875
transcript.pyannote[265].speaker SPEAKER_32
transcript.pyannote[265].start 3036.46784375
transcript.pyannote[265].end 3036.72096875
transcript.pyannote[266].speaker SPEAKER_32
transcript.pyannote[266].start 3037.48034375
transcript.pyannote[266].end 3039.92721875
transcript.pyannote[267].speaker SPEAKER_32
transcript.pyannote[267].start 3039.99471875
transcript.pyannote[267].end 3040.55159375
transcript.pyannote[268].speaker SPEAKER_38
transcript.pyannote[268].start 3040.55159375
transcript.pyannote[268].end 3040.65284375
transcript.pyannote[269].speaker SPEAKER_21
transcript.pyannote[269].start 3040.65284375
transcript.pyannote[269].end 3040.72034375
transcript.pyannote[270].speaker SPEAKER_32
transcript.pyannote[270].start 3041.78346875
transcript.pyannote[270].end 3041.81721875
transcript.pyannote[271].speaker SPEAKER_38
transcript.pyannote[271].start 3041.81721875
transcript.pyannote[271].end 3041.88471875
transcript.pyannote[272].speaker SPEAKER_32
transcript.pyannote[272].start 3047.11596875
transcript.pyannote[272].end 3047.72346875
transcript.pyannote[273].speaker SPEAKER_32
transcript.pyannote[273].start 3050.77784375
transcript.pyannote[273].end 3053.76471875
transcript.pyannote[274].speaker SPEAKER_24
transcript.pyannote[274].start 3052.80284375
transcript.pyannote[274].end 3054.52409375
transcript.pyannote[275].speaker SPEAKER_32
transcript.pyannote[275].start 3054.11909375
transcript.pyannote[275].end 3061.88159375
transcript.pyannote[276].speaker SPEAKER_38
transcript.pyannote[276].start 3060.97034375
transcript.pyannote[276].end 3060.98721875
transcript.pyannote[277].speaker SPEAKER_24
transcript.pyannote[277].start 3060.98721875
transcript.pyannote[277].end 3062.99534375
transcript.pyannote[278].speaker SPEAKER_32
transcript.pyannote[278].start 3062.30346875
transcript.pyannote[278].end 3067.75409375
transcript.pyannote[279].speaker SPEAKER_24
transcript.pyannote[279].start 3066.28596875
transcript.pyannote[279].end 3108.72659375
transcript.pyannote[280].speaker SPEAKER_32
transcript.pyannote[280].start 3070.38659375
transcript.pyannote[280].end 3070.94346875
transcript.pyannote[281].speaker SPEAKER_32
transcript.pyannote[281].start 3072.71534375
transcript.pyannote[281].end 3072.73221875
transcript.pyannote[282].speaker SPEAKER_38
transcript.pyannote[282].start 3072.73221875
transcript.pyannote[282].end 3072.83346875
transcript.pyannote[283].speaker SPEAKER_32
transcript.pyannote[283].start 3072.83346875
transcript.pyannote[283].end 3073.25534375
transcript.pyannote[284].speaker SPEAKER_38
transcript.pyannote[284].start 3073.25534375
transcript.pyannote[284].end 3073.33971875
transcript.pyannote[285].speaker SPEAKER_32
transcript.pyannote[285].start 3073.40721875
transcript.pyannote[285].end 3073.42409375
transcript.pyannote[286].speaker SPEAKER_32
transcript.pyannote[286].start 3108.65909375
transcript.pyannote[286].end 3108.70971875
transcript.pyannote[287].speaker SPEAKER_32
transcript.pyannote[287].start 3108.72659375
transcript.pyannote[287].end 3119.99909375
transcript.pyannote[288].speaker SPEAKER_24
transcript.pyannote[288].start 3117.24846875
transcript.pyannote[288].end 3117.92346875
transcript.pyannote[289].speaker SPEAKER_24
transcript.pyannote[289].start 3118.98659375
transcript.pyannote[289].end 3124.38659375
transcript.pyannote[290].speaker SPEAKER_32
transcript.pyannote[290].start 3124.52159375
transcript.pyannote[290].end 3124.53846875
transcript.pyannote[291].speaker SPEAKER_29
transcript.pyannote[291].start 3124.53846875
transcript.pyannote[291].end 3125.53409375
transcript.pyannote[292].speaker SPEAKER_24
transcript.pyannote[292].start 3124.99409375
transcript.pyannote[292].end 3125.88846875
transcript.pyannote[293].speaker SPEAKER_29
transcript.pyannote[293].start 3125.85471875
transcript.pyannote[293].end 3129.44909375
transcript.pyannote[294].speaker SPEAKER_24
transcript.pyannote[294].start 3128.70659375
transcript.pyannote[294].end 3132.97596875
transcript.pyannote[295].speaker SPEAKER_29
transcript.pyannote[295].start 3129.61784375
transcript.pyannote[295].end 3131.44034375
transcript.pyannote[296].speaker SPEAKER_29
transcript.pyannote[296].start 3132.35159375
transcript.pyannote[296].end 3132.80721875
transcript.pyannote[297].speaker SPEAKER_24
transcript.pyannote[297].start 3133.26284375
transcript.pyannote[297].end 3166.62471875
transcript.pyannote[298].speaker SPEAKER_17
transcript.pyannote[298].start 3157.02284375
transcript.pyannote[298].end 3157.41096875
transcript.pyannote[299].speaker SPEAKER_24
transcript.pyannote[299].start 3167.14784375
transcript.pyannote[299].end 3172.44659375
transcript.pyannote[300].speaker SPEAKER_29
transcript.pyannote[300].start 3171.06284375
transcript.pyannote[300].end 3176.61471875
transcript.pyannote[301].speaker SPEAKER_29
transcript.pyannote[301].start 3176.96909375
transcript.pyannote[301].end 3186.28409375
transcript.pyannote[302].speaker SPEAKER_24
transcript.pyannote[302].start 3181.96409375
transcript.pyannote[302].end 3182.72346875
transcript.pyannote[303].speaker SPEAKER_24
transcript.pyannote[303].start 3183.11159375
transcript.pyannote[303].end 3186.16596875
transcript.pyannote[304].speaker SPEAKER_24
transcript.pyannote[304].start 3186.28409375
transcript.pyannote[304].end 3186.33471875
transcript.pyannote[305].speaker SPEAKER_24
transcript.pyannote[305].start 3186.35159375
transcript.pyannote[305].end 3216.86159375
transcript.pyannote[306].speaker SPEAKER_24
transcript.pyannote[306].start 3217.43534375
transcript.pyannote[306].end 3222.16034375
transcript.pyannote[307].speaker SPEAKER_24
transcript.pyannote[307].start 3222.59909375
transcript.pyannote[307].end 3233.83784375
transcript.pyannote[308].speaker SPEAKER_24
transcript.pyannote[308].start 3234.17534375
transcript.pyannote[308].end 3261.86721875
transcript.pyannote[309].speaker SPEAKER_00
transcript.pyannote[309].start 3241.48221875
transcript.pyannote[309].end 3241.70159375
transcript.pyannote[310].speaker SPEAKER_21
transcript.pyannote[310].start 3252.28221875
transcript.pyannote[310].end 3252.31596875
transcript.pyannote[311].speaker SPEAKER_38
transcript.pyannote[311].start 3252.31596875
transcript.pyannote[311].end 3252.83909375
transcript.pyannote[312].speaker SPEAKER_38
transcript.pyannote[312].start 3253.56471875
transcript.pyannote[312].end 3253.96971875
transcript.pyannote[313].speaker SPEAKER_24
transcript.pyannote[313].start 3262.17096875
transcript.pyannote[313].end 3263.53784375
transcript.pyannote[314].speaker SPEAKER_29
transcript.pyannote[314].start 3263.80784375
transcript.pyannote[314].end 3266.22096875
transcript.pyannote[315].speaker SPEAKER_24
transcript.pyannote[315].start 3264.14534375
transcript.pyannote[315].end 3264.17909375
transcript.pyannote[316].speaker SPEAKER_24
transcript.pyannote[316].start 3266.49096875
transcript.pyannote[316].end 3266.81159375
transcript.pyannote[317].speaker SPEAKER_29
transcript.pyannote[317].start 3266.72721875
transcript.pyannote[317].end 3269.83221875
transcript.pyannote[318].speaker SPEAKER_24
transcript.pyannote[318].start 3268.43159375
transcript.pyannote[318].end 3268.78596875
transcript.pyannote[319].speaker SPEAKER_24
transcript.pyannote[319].start 3268.80284375
transcript.pyannote[319].end 3274.47284375
transcript.pyannote[320].speaker SPEAKER_29
transcript.pyannote[320].start 3269.93346875
transcript.pyannote[320].end 3270.33846875
transcript.pyannote[321].speaker SPEAKER_29
transcript.pyannote[321].start 3273.74721875
transcript.pyannote[321].end 3276.58221875
transcript.pyannote[322].speaker SPEAKER_24
transcript.pyannote[322].start 3274.87784375
transcript.pyannote[322].end 3278.96159375
transcript.pyannote[323].speaker SPEAKER_24
transcript.pyannote[323].start 3279.19784375
transcript.pyannote[323].end 3280.26096875
transcript.pyannote[324].speaker SPEAKER_24
transcript.pyannote[324].start 3280.53096875
transcript.pyannote[324].end 3280.98659375
transcript.pyannote[325].speaker SPEAKER_24
transcript.pyannote[325].start 3281.13846875
transcript.pyannote[325].end 3290.62221875
transcript.pyannote[326].speaker SPEAKER_24
transcript.pyannote[326].start 3292.32659375
transcript.pyannote[326].end 3293.37284375
transcript.pyannote[327].speaker SPEAKER_24
transcript.pyannote[327].start 3293.84534375
transcript.pyannote[327].end 3296.57909375
transcript.pyannote[328].speaker SPEAKER_29
transcript.pyannote[328].start 3296.57909375
transcript.pyannote[328].end 3299.19471875
transcript.pyannote[329].speaker SPEAKER_24
transcript.pyannote[329].start 3299.17784375
transcript.pyannote[329].end 3359.40471875
transcript.pyannote[330].speaker SPEAKER_29
transcript.pyannote[330].start 3299.21159375
transcript.pyannote[330].end 3299.22846875
transcript.pyannote[331].speaker SPEAKER_29
transcript.pyannote[331].start 3300.88221875
transcript.pyannote[331].end 3301.32096875
transcript.pyannote[332].speaker SPEAKER_29
transcript.pyannote[332].start 3302.45159375
transcript.pyannote[332].end 3302.75534375
transcript.pyannote[333].speaker SPEAKER_38
transcript.pyannote[333].start 3308.69534375
transcript.pyannote[333].end 3309.04971875
transcript.pyannote[334].speaker SPEAKER_21
transcript.pyannote[334].start 3352.41846875
transcript.pyannote[334].end 3352.80659375
transcript.pyannote[335].speaker SPEAKER_00
transcript.pyannote[335].start 3352.80659375
transcript.pyannote[335].end 3353.07659375
transcript.pyannote[336].speaker SPEAKER_29
transcript.pyannote[336].start 3353.43096875
transcript.pyannote[336].end 3353.80221875
transcript.pyannote[337].speaker SPEAKER_00
transcript.pyannote[337].start 3355.25346875
transcript.pyannote[337].end 3355.28721875
transcript.pyannote[338].speaker SPEAKER_29
transcript.pyannote[338].start 3355.28721875
transcript.pyannote[338].end 3356.16471875
transcript.pyannote[339].speaker SPEAKER_24
transcript.pyannote[339].start 3359.86034375
transcript.pyannote[339].end 3363.70784375
transcript.pyannote[340].speaker SPEAKER_29
transcript.pyannote[340].start 3360.29909375
transcript.pyannote[340].end 3364.24784375
transcript.pyannote[341].speaker SPEAKER_24
transcript.pyannote[341].start 3364.06221875
transcript.pyannote[341].end 3369.46221875
transcript.pyannote[342].speaker SPEAKER_29
transcript.pyannote[342].start 3366.67784375
transcript.pyannote[342].end 3367.48784375
transcript.pyannote[343].speaker SPEAKER_29
transcript.pyannote[343].start 3368.41596875
transcript.pyannote[343].end 3378.49034375
transcript.pyannote[344].speaker SPEAKER_24
transcript.pyannote[344].start 3372.39846875
transcript.pyannote[344].end 3376.44846875
transcript.pyannote[345].speaker SPEAKER_24
transcript.pyannote[345].start 3377.29221875
transcript.pyannote[345].end 3383.99159375
transcript.pyannote[346].speaker SPEAKER_29
transcript.pyannote[346].start 3379.50284375
transcript.pyannote[346].end 3380.22846875
transcript.pyannote[347].speaker SPEAKER_08
transcript.pyannote[347].start 3384.04221875
transcript.pyannote[347].end 3384.53159375
transcript.pyannote[348].speaker SPEAKER_29
transcript.pyannote[348].start 3384.53159375
transcript.pyannote[348].end 3384.86909375
transcript.pyannote[349].speaker SPEAKER_08
transcript.pyannote[349].start 3385.69596875
transcript.pyannote[349].end 3386.03346875
transcript.pyannote[350].speaker SPEAKER_08
transcript.pyannote[350].start 3386.35409375
transcript.pyannote[350].end 3388.75034375
transcript.pyannote[351].speaker SPEAKER_08
transcript.pyannote[351].start 3389.40846875
transcript.pyannote[351].end 3393.66096875
transcript.pyannote[352].speaker SPEAKER_08
transcript.pyannote[352].start 3394.25159375
transcript.pyannote[352].end 3402.94221875
transcript.pyannote[353].speaker SPEAKER_08
transcript.pyannote[353].start 3403.97159375
transcript.pyannote[353].end 3407.17784375
transcript.pyannote[354].speaker SPEAKER_08
transcript.pyannote[354].start 3407.19471875
transcript.pyannote[354].end 3411.95346875
transcript.pyannote[355].speaker SPEAKER_08
transcript.pyannote[355].start 3414.95721875
transcript.pyannote[355].end 3417.77534375
transcript.pyannote[356].speaker SPEAKER_08
transcript.pyannote[356].start 3418.31534375
transcript.pyannote[356].end 3421.82534375
transcript.pyannote[357].speaker SPEAKER_11
transcript.pyannote[357].start 3428.52471875
transcript.pyannote[357].end 3430.36409375
transcript.pyannote[358].speaker SPEAKER_11
transcript.pyannote[358].start 3430.39784375
transcript.pyannote[358].end 3430.41471875
transcript.pyannote[359].speaker SPEAKER_38
transcript.pyannote[359].start 3430.41471875
transcript.pyannote[359].end 3430.73534375
transcript.pyannote[360].speaker SPEAKER_29
transcript.pyannote[360].start 3436.32096875
transcript.pyannote[360].end 3436.89471875
transcript.pyannote[361].speaker SPEAKER_11
transcript.pyannote[361].start 3437.11409375
transcript.pyannote[361].end 3438.44721875
transcript.pyannote[362].speaker SPEAKER_11
transcript.pyannote[362].start 3438.91971875
transcript.pyannote[362].end 3443.79659375
transcript.pyannote[363].speaker SPEAKER_38
transcript.pyannote[363].start 3443.79659375
transcript.pyannote[363].end 3444.11721875
transcript.pyannote[364].speaker SPEAKER_11
transcript.pyannote[364].start 3444.11721875
transcript.pyannote[364].end 3452.11596875
transcript.pyannote[365].speaker SPEAKER_11
transcript.pyannote[365].start 3452.50409375
transcript.pyannote[365].end 3459.01784375
transcript.pyannote[366].speaker SPEAKER_11
transcript.pyannote[366].start 3459.42284375
transcript.pyannote[366].end 3468.41721875
transcript.pyannote[367].speaker SPEAKER_11
transcript.pyannote[367].start 3468.55221875
transcript.pyannote[367].end 3469.66596875
transcript.pyannote[368].speaker SPEAKER_29
transcript.pyannote[368].start 3470.57721875
transcript.pyannote[368].end 3473.39534375
transcript.pyannote[369].speaker SPEAKER_29
transcript.pyannote[369].start 3473.64846875
transcript.pyannote[369].end 3477.27659375
transcript.pyannote[370].speaker SPEAKER_29
transcript.pyannote[370].start 3477.64784375
transcript.pyannote[370].end 3487.63784375
transcript.pyannote[371].speaker SPEAKER_29
transcript.pyannote[371].start 3487.77284375
transcript.pyannote[371].end 3492.02534375
transcript.pyannote[372].speaker SPEAKER_11
transcript.pyannote[372].start 3492.02534375
transcript.pyannote[372].end 3494.69159375
transcript.pyannote[373].speaker SPEAKER_29
transcript.pyannote[373].start 3494.69159375
transcript.pyannote[373].end 3494.87721875
transcript.pyannote[374].speaker SPEAKER_11
transcript.pyannote[374].start 3494.87721875
transcript.pyannote[374].end 3500.59784375
transcript.pyannote[375].speaker SPEAKER_00
transcript.pyannote[375].start 3499.95659375
transcript.pyannote[375].end 3499.97346875
transcript.pyannote[376].speaker SPEAKER_38
transcript.pyannote[376].start 3499.97346875
transcript.pyannote[376].end 3500.36159375
transcript.pyannote[377].speaker SPEAKER_00
transcript.pyannote[377].start 3500.36159375
transcript.pyannote[377].end 3500.37846875
transcript.pyannote[378].speaker SPEAKER_11
transcript.pyannote[378].start 3500.78346875
transcript.pyannote[378].end 3544.03409375
transcript.pyannote[379].speaker SPEAKER_11
transcript.pyannote[379].start 3544.55721875
transcript.pyannote[379].end 3567.99659375
transcript.pyannote[380].speaker SPEAKER_20
transcript.pyannote[380].start 3550.75034375
transcript.pyannote[380].end 3551.02034375
transcript.pyannote[381].speaker SPEAKER_11
transcript.pyannote[381].start 3568.60409375
transcript.pyannote[381].end 3576.19784375
transcript.pyannote[382].speaker SPEAKER_11
transcript.pyannote[382].start 3576.51846875
transcript.pyannote[382].end 3576.94034375
transcript.pyannote[383].speaker SPEAKER_11
transcript.pyannote[383].start 3577.63221875
transcript.pyannote[383].end 3585.91784375
transcript.pyannote[384].speaker SPEAKER_11
transcript.pyannote[384].start 3586.52534375
transcript.pyannote[384].end 3615.12846875
transcript.pyannote[385].speaker SPEAKER_11
transcript.pyannote[385].start 3615.65159375
transcript.pyannote[385].end 3616.66409375
transcript.pyannote[386].speaker SPEAKER_11
transcript.pyannote[386].start 3617.00159375
transcript.pyannote[386].end 3624.52784375
transcript.pyannote[387].speaker SPEAKER_11
transcript.pyannote[387].start 3625.20284375
transcript.pyannote[387].end 3629.43846875
transcript.pyannote[388].speaker SPEAKER_29
transcript.pyannote[388].start 3630.46784375
transcript.pyannote[388].end 3632.39159375
transcript.pyannote[389].speaker SPEAKER_29
transcript.pyannote[389].start 3632.83034375
transcript.pyannote[389].end 3659.32409375
transcript.pyannote[390].speaker SPEAKER_11
transcript.pyannote[390].start 3658.66596875
transcript.pyannote[390].end 3666.25971875
transcript.pyannote[391].speaker SPEAKER_29
transcript.pyannote[391].start 3663.27284375
transcript.pyannote[391].end 3663.50909375
transcript.pyannote[392].speaker SPEAKER_29
transcript.pyannote[392].start 3663.57659375
transcript.pyannote[392].end 3669.44909375
transcript.pyannote[393].speaker SPEAKER_11
transcript.pyannote[393].start 3669.53346875
transcript.pyannote[393].end 3669.55034375
transcript.pyannote[394].speaker SPEAKER_20
transcript.pyannote[394].start 3669.55034375
transcript.pyannote[394].end 3678.42659375
transcript.pyannote[395].speaker SPEAKER_11
transcript.pyannote[395].start 3676.99221875
transcript.pyannote[395].end 3699.08159375
transcript.pyannote[396].speaker SPEAKER_20
transcript.pyannote[396].start 3679.20284375
transcript.pyannote[396].end 3679.84409375
transcript.pyannote[397].speaker SPEAKER_20
transcript.pyannote[397].start 3681.93659375
transcript.pyannote[397].end 3682.27409375
transcript.pyannote[398].speaker SPEAKER_20
transcript.pyannote[398].start 3694.81221875
transcript.pyannote[398].end 3695.50409375
transcript.pyannote[399].speaker SPEAKER_20
transcript.pyannote[399].start 3695.89221875
transcript.pyannote[399].end 3696.98909375
transcript.pyannote[400].speaker SPEAKER_20
transcript.pyannote[400].start 3697.98471875
transcript.pyannote[400].end 3717.96471875
transcript.pyannote[401].speaker SPEAKER_13
transcript.pyannote[401].start 3709.57784375
transcript.pyannote[401].end 3709.96596875
transcript.pyannote[402].speaker SPEAKER_00
transcript.pyannote[402].start 3709.96596875
transcript.pyannote[402].end 3710.33721875
transcript.pyannote[403].speaker SPEAKER_11
transcript.pyannote[403].start 3717.96471875
transcript.pyannote[403].end 3729.25409375
transcript.pyannote[404].speaker SPEAKER_15
transcript.pyannote[404].start 3718.96034375
transcript.pyannote[404].end 3719.34846875
transcript.pyannote[405].speaker SPEAKER_11
transcript.pyannote[405].start 3729.32159375
transcript.pyannote[405].end 3790.61159375
transcript.pyannote[406].speaker SPEAKER_20
transcript.pyannote[406].start 3730.43534375
transcript.pyannote[406].end 3734.68784375
transcript.pyannote[407].speaker SPEAKER_20
transcript.pyannote[407].start 3741.45471875
transcript.pyannote[407].end 3741.89346875
transcript.pyannote[408].speaker SPEAKER_00
transcript.pyannote[408].start 3748.91346875
transcript.pyannote[408].end 3749.23409375
transcript.pyannote[409].speaker SPEAKER_11
transcript.pyannote[409].start 3790.86471875
transcript.pyannote[409].end 3829.05284375
transcript.pyannote[410].speaker SPEAKER_11
transcript.pyannote[410].start 3829.17096875
transcript.pyannote[410].end 3830.20034375
transcript.pyannote[411].speaker SPEAKER_11
transcript.pyannote[411].start 3830.68971875
transcript.pyannote[411].end 3837.11909375
transcript.pyannote[412].speaker SPEAKER_11
transcript.pyannote[412].start 3837.45659375
transcript.pyannote[412].end 3855.69846875
transcript.pyannote[413].speaker SPEAKER_29
transcript.pyannote[413].start 3856.15409375
transcript.pyannote[413].end 3863.03909375
transcript.pyannote[414].speaker SPEAKER_11
transcript.pyannote[414].start 3862.73534375
transcript.pyannote[414].end 3870.76784375
transcript.pyannote[415].speaker SPEAKER_29
transcript.pyannote[415].start 3869.24909375
transcript.pyannote[415].end 3876.06659375
transcript.pyannote[416].speaker SPEAKER_11
transcript.pyannote[416].start 3874.58159375
transcript.pyannote[416].end 3884.57159375
transcript.pyannote[417].speaker SPEAKER_29
transcript.pyannote[417].start 3877.34909375
transcript.pyannote[417].end 3878.19284375
transcript.pyannote[418].speaker SPEAKER_02
transcript.pyannote[418].start 3878.19284375
transcript.pyannote[418].end 3878.26034375
transcript.pyannote[419].speaker SPEAKER_29
transcript.pyannote[419].start 3878.26034375
transcript.pyannote[419].end 3879.91409375
transcript.pyannote[420].speaker SPEAKER_02
transcript.pyannote[420].start 3879.91409375
transcript.pyannote[420].end 3880.04909375
transcript.pyannote[421].speaker SPEAKER_02
transcript.pyannote[421].start 3881.02784375
transcript.pyannote[421].end 3881.11221875
transcript.pyannote[422].speaker SPEAKER_02
transcript.pyannote[422].start 3883.27221875
transcript.pyannote[422].end 3883.52534375
transcript.pyannote[423].speaker SPEAKER_02
transcript.pyannote[423].start 3885.38159375
transcript.pyannote[423].end 3890.64659375
transcript.pyannote[424].speaker SPEAKER_11
transcript.pyannote[424].start 3889.66784375
transcript.pyannote[424].end 3897.04221875
transcript.pyannote[425].speaker SPEAKER_02
transcript.pyannote[425].start 3895.11846875
transcript.pyannote[425].end 3899.91096875
transcript.pyannote[426].speaker SPEAKER_11
transcript.pyannote[426].start 3900.50159375
transcript.pyannote[426].end 3905.71596875
transcript.pyannote[427].speaker SPEAKER_11
transcript.pyannote[427].start 3907.13346875
transcript.pyannote[427].end 3915.72284375
transcript.pyannote[428].speaker SPEAKER_02
transcript.pyannote[428].start 3911.47034375
transcript.pyannote[428].end 3921.22409375
transcript.pyannote[429].speaker SPEAKER_02
transcript.pyannote[429].start 3922.08471875
transcript.pyannote[429].end 3922.43909375
transcript.pyannote[430].speaker SPEAKER_11
transcript.pyannote[430].start 3922.21971875
transcript.pyannote[430].end 3930.57284375
transcript.pyannote[431].speaker SPEAKER_02
transcript.pyannote[431].start 3928.63221875
transcript.pyannote[431].end 3928.64909375
transcript.pyannote[432].speaker SPEAKER_29
transcript.pyannote[432].start 3928.64909375
transcript.pyannote[432].end 3930.53909375
transcript.pyannote[433].speaker SPEAKER_29
transcript.pyannote[433].start 3931.29846875
transcript.pyannote[433].end 3948.37596875
transcript.pyannote[434].speaker SPEAKER_11
transcript.pyannote[434].start 3946.92471875
transcript.pyannote[434].end 3961.43721875
transcript.pyannote[435].speaker SPEAKER_29
transcript.pyannote[435].start 3961.80846875
transcript.pyannote[435].end 3978.64971875
transcript.pyannote[436].speaker SPEAKER_11
transcript.pyannote[436].start 3978.14346875
transcript.pyannote[436].end 3983.96534375
transcript.pyannote[437].speaker SPEAKER_29
transcript.pyannote[437].start 3978.98721875
transcript.pyannote[437].end 3982.44659375
transcript.pyannote[438].speaker SPEAKER_29
transcript.pyannote[438].start 3982.93596875
transcript.pyannote[438].end 3992.72346875
transcript.pyannote[439].speaker SPEAKER_11
transcript.pyannote[439].start 3991.96409375
transcript.pyannote[439].end 3999.20346875
transcript.pyannote[440].speaker SPEAKER_11
transcript.pyannote[440].start 3999.49034375
transcript.pyannote[440].end 4006.81409375
transcript.pyannote[441].speaker SPEAKER_29
transcript.pyannote[441].start 4004.48534375
transcript.pyannote[441].end 4005.26159375
transcript.pyannote[442].speaker SPEAKER_29
transcript.pyannote[442].start 4006.64534375
transcript.pyannote[442].end 4010.10471875
transcript.pyannote[443].speaker SPEAKER_11
transcript.pyannote[443].start 4010.08784375
transcript.pyannote[443].end 4035.14721875
transcript.pyannote[444].speaker SPEAKER_29
transcript.pyannote[444].start 4013.32784375
transcript.pyannote[444].end 4014.81284375
transcript.pyannote[445].speaker SPEAKER_11
transcript.pyannote[445].start 4035.97409375
transcript.pyannote[445].end 4053.55784375
transcript.pyannote[446].speaker SPEAKER_11
transcript.pyannote[446].start 4053.59159375
transcript.pyannote[446].end 4063.59846875
transcript.pyannote[447].speaker SPEAKER_11
transcript.pyannote[447].start 4063.98659375
transcript.pyannote[447].end 4067.76659375
transcript.pyannote[448].speaker SPEAKER_11
transcript.pyannote[448].start 4068.15471875
transcript.pyannote[448].end 4068.74534375
transcript.pyannote[449].speaker SPEAKER_29
transcript.pyannote[449].start 4069.04909375
transcript.pyannote[449].end 4073.63909375
transcript.pyannote[450].speaker SPEAKER_11
transcript.pyannote[450].start 4073.63909375
transcript.pyannote[450].end 4083.22409375
transcript.pyannote[451].speaker SPEAKER_29
transcript.pyannote[451].start 4084.54034375
transcript.pyannote[451].end 4088.01659375
transcript.pyannote[452].speaker SPEAKER_11
transcript.pyannote[452].start 4088.21909375
transcript.pyannote[452].end 4088.45534375
transcript.pyannote[453].speaker SPEAKER_11
transcript.pyannote[453].start 4088.84346875
transcript.pyannote[453].end 4092.23534375
transcript.pyannote[454].speaker SPEAKER_29
transcript.pyannote[454].start 4091.83034375
transcript.pyannote[454].end 4093.48409375
transcript.pyannote[455].speaker SPEAKER_08
transcript.pyannote[455].start 4093.93971875
transcript.pyannote[455].end 4094.29409375
transcript.pyannote[456].speaker SPEAKER_08
transcript.pyannote[456].start 4094.69909375
transcript.pyannote[456].end 4096.99409375
transcript.pyannote[457].speaker SPEAKER_08
transcript.pyannote[457].start 4097.70284375
transcript.pyannote[457].end 4100.74034375
transcript.pyannote[458].speaker SPEAKER_43
transcript.pyannote[458].start 4107.96284375
transcript.pyannote[458].end 4109.00909375
transcript.pyannote[459].speaker SPEAKER_43
transcript.pyannote[459].start 4116.70409375
transcript.pyannote[459].end 4117.22721875
transcript.pyannote[460].speaker SPEAKER_43
transcript.pyannote[460].start 4117.34534375
transcript.pyannote[460].end 4117.83471875
transcript.pyannote[461].speaker SPEAKER_43
transcript.pyannote[461].start 4118.27346875
transcript.pyannote[461].end 4123.99409375
transcript.pyannote[462].speaker SPEAKER_43
transcript.pyannote[462].start 4124.39909375
transcript.pyannote[462].end 4130.81159375
transcript.pyannote[463].speaker SPEAKER_43
transcript.pyannote[463].start 4131.19971875
transcript.pyannote[463].end 4133.84909375
transcript.pyannote[464].speaker SPEAKER_43
transcript.pyannote[464].start 4134.11909375
transcript.pyannote[464].end 4137.49409375
transcript.pyannote[465].speaker SPEAKER_43
transcript.pyannote[465].start 4138.43909375
transcript.pyannote[465].end 4141.07159375
transcript.pyannote[466].speaker SPEAKER_43
transcript.pyannote[466].start 4141.40909375
transcript.pyannote[466].end 4150.15034375
transcript.pyannote[467].speaker SPEAKER_43
transcript.pyannote[467].start 4150.48784375
transcript.pyannote[467].end 4151.36534375
transcript.pyannote[468].speaker SPEAKER_43
transcript.pyannote[468].start 4151.85471875
transcript.pyannote[468].end 4166.33346875
transcript.pyannote[469].speaker SPEAKER_43
transcript.pyannote[469].start 4166.82284375
transcript.pyannote[469].end 4192.10159375
transcript.pyannote[470].speaker SPEAKER_29
transcript.pyannote[470].start 4192.28721875
transcript.pyannote[470].end 4207.91346875
transcript.pyannote[471].speaker SPEAKER_43
transcript.pyannote[471].start 4208.04846875
transcript.pyannote[471].end 4219.47284375
transcript.pyannote[472].speaker SPEAKER_29
transcript.pyannote[472].start 4208.82471875
transcript.pyannote[472].end 4210.03971875
transcript.pyannote[473].speaker SPEAKER_29
transcript.pyannote[473].start 4210.95096875
transcript.pyannote[473].end 4213.71846875
transcript.pyannote[474].speaker SPEAKER_29
transcript.pyannote[474].start 4219.47284375
transcript.pyannote[474].end 4222.12221875
transcript.pyannote[475].speaker SPEAKER_43
transcript.pyannote[475].start 4219.75971875
transcript.pyannote[475].end 4220.35034375
transcript.pyannote[476].speaker SPEAKER_43
transcript.pyannote[476].start 4221.56534375
transcript.pyannote[476].end 4242.01784375
transcript.pyannote[477].speaker SPEAKER_29
transcript.pyannote[477].start 4233.46221875
transcript.pyannote[477].end 4233.47909375
transcript.pyannote[478].speaker SPEAKER_38
transcript.pyannote[478].start 4233.47909375
transcript.pyannote[478].end 4233.52971875
transcript.pyannote[479].speaker SPEAKER_38
transcript.pyannote[479].start 4233.54659375
transcript.pyannote[479].end 4233.95159375
transcript.pyannote[480].speaker SPEAKER_29
transcript.pyannote[480].start 4233.95159375
transcript.pyannote[480].end 4233.96846875
transcript.pyannote[481].speaker SPEAKER_38
transcript.pyannote[481].start 4237.71471875
transcript.pyannote[481].end 4238.06909375
transcript.pyannote[482].speaker SPEAKER_43
transcript.pyannote[482].start 4242.27096875
transcript.pyannote[482].end 4253.56034375
transcript.pyannote[483].speaker SPEAKER_38
transcript.pyannote[483].start 4246.62471875
transcript.pyannote[483].end 4246.67534375
transcript.pyannote[484].speaker SPEAKER_38
transcript.pyannote[484].start 4246.69221875
transcript.pyannote[484].end 4246.86096875
transcript.pyannote[485].speaker SPEAKER_38
transcript.pyannote[485].start 4253.62784375
transcript.pyannote[485].end 4253.64471875
transcript.pyannote[486].speaker SPEAKER_29
transcript.pyannote[486].start 4253.64471875
transcript.pyannote[486].end 4253.66159375
transcript.pyannote[487].speaker SPEAKER_38
transcript.pyannote[487].start 4253.66159375
transcript.pyannote[487].end 4253.69534375
transcript.pyannote[488].speaker SPEAKER_29
transcript.pyannote[488].start 4253.69534375
transcript.pyannote[488].end 4253.99909375
transcript.pyannote[489].speaker SPEAKER_43
transcript.pyannote[489].start 4253.99909375
transcript.pyannote[489].end 4258.36971875
transcript.pyannote[490].speaker SPEAKER_29
transcript.pyannote[490].start 4258.20096875
transcript.pyannote[490].end 4259.90534375
transcript.pyannote[491].speaker SPEAKER_43
transcript.pyannote[491].start 4259.77034375
transcript.pyannote[491].end 4304.91096875
transcript.pyannote[492].speaker SPEAKER_43
transcript.pyannote[492].start 4305.73784375
transcript.pyannote[492].end 4308.18471875
transcript.pyannote[493].speaker SPEAKER_43
transcript.pyannote[493].start 4308.87659375
transcript.pyannote[493].end 4309.87221875
transcript.pyannote[494].speaker SPEAKER_29
transcript.pyannote[494].start 4308.92721875
transcript.pyannote[494].end 4312.09971875
transcript.pyannote[495].speaker SPEAKER_41
transcript.pyannote[495].start 4309.87221875
transcript.pyannote[495].end 4309.88909375
transcript.pyannote[496].speaker SPEAKER_41
transcript.pyannote[496].start 4312.09971875
transcript.pyannote[496].end 4338.30659375
transcript.pyannote[497].speaker SPEAKER_43
transcript.pyannote[497].start 4338.03659375
transcript.pyannote[497].end 4362.35346875
transcript.pyannote[498].speaker SPEAKER_29
transcript.pyannote[498].start 4361.07096875
transcript.pyannote[498].end 4365.94784375
transcript.pyannote[499].speaker SPEAKER_43
transcript.pyannote[499].start 4364.05784375
transcript.pyannote[499].end 4364.14221875
transcript.pyannote[500].speaker SPEAKER_43
transcript.pyannote[500].start 4365.30659375
transcript.pyannote[500].end 4365.91409375
transcript.pyannote[501].speaker SPEAKER_43
transcript.pyannote[501].start 4365.94784375
transcript.pyannote[501].end 4393.52159375
transcript.pyannote[502].speaker SPEAKER_43
transcript.pyannote[502].start 4393.82534375
transcript.pyannote[502].end 4414.29471875
transcript.pyannote[503].speaker SPEAKER_29
transcript.pyannote[503].start 4414.88534375
transcript.pyannote[503].end 4423.59284375
transcript.pyannote[504].speaker SPEAKER_43
transcript.pyannote[504].start 4420.03221875
transcript.pyannote[504].end 4421.34846875
transcript.pyannote[505].speaker SPEAKER_43
transcript.pyannote[505].start 4422.31034375
transcript.pyannote[505].end 4448.29784375
transcript.pyannote[506].speaker SPEAKER_43
transcript.pyannote[506].start 4448.56784375
transcript.pyannote[506].end 4455.21659375
transcript.pyannote[507].speaker SPEAKER_43
transcript.pyannote[507].start 4455.65534375
transcript.pyannote[507].end 4456.65096875
transcript.pyannote[508].speaker SPEAKER_43
transcript.pyannote[508].start 4457.24159375
transcript.pyannote[508].end 4473.45846875
transcript.pyannote[509].speaker SPEAKER_29
transcript.pyannote[509].start 4474.43721875
transcript.pyannote[509].end 4478.87534375
transcript.pyannote[510].speaker SPEAKER_43
transcript.pyannote[510].start 4478.53784375
transcript.pyannote[510].end 4484.66346875
transcript.pyannote[511].speaker SPEAKER_29
transcript.pyannote[511].start 4479.53346875
transcript.pyannote[511].end 4480.73159375
transcript.pyannote[512].speaker SPEAKER_43
transcript.pyannote[512].start 4485.01784375
transcript.pyannote[512].end 4487.29596875
transcript.pyannote[513].speaker SPEAKER_43
transcript.pyannote[513].start 4489.50659375
transcript.pyannote[513].end 4490.56971875
transcript.pyannote[514].speaker SPEAKER_29
transcript.pyannote[514].start 4491.27846875
transcript.pyannote[514].end 4496.29034375
transcript.pyannote[515].speaker SPEAKER_29
transcript.pyannote[515].start 4496.30721875
transcript.pyannote[515].end 4496.72909375
transcript.pyannote[516].speaker SPEAKER_40
transcript.pyannote[516].start 4497.48846875
transcript.pyannote[516].end 4505.92596875
transcript.pyannote[517].speaker SPEAKER_29
transcript.pyannote[517].start 4503.19221875
transcript.pyannote[517].end 4503.61409375
transcript.pyannote[518].speaker SPEAKER_00
transcript.pyannote[518].start 4503.61409375
transcript.pyannote[518].end 4503.63096875
transcript.pyannote[519].speaker SPEAKER_40
transcript.pyannote[519].start 4506.22971875
transcript.pyannote[519].end 4518.10971875
transcript.pyannote[520].speaker SPEAKER_43
transcript.pyannote[520].start 4516.60784375
transcript.pyannote[520].end 4517.89034375
transcript.pyannote[521].speaker SPEAKER_43
transcript.pyannote[521].start 4518.56534375
transcript.pyannote[521].end 4630.21034375
transcript.pyannote[522].speaker SPEAKER_40
transcript.pyannote[522].start 4519.12221875
transcript.pyannote[522].end 4520.53971875
transcript.pyannote[523].speaker SPEAKER_40
transcript.pyannote[523].start 4521.46784375
transcript.pyannote[523].end 4521.82221875
transcript.pyannote[524].speaker SPEAKER_29
transcript.pyannote[524].start 4630.21034375
transcript.pyannote[524].end 4632.99471875
transcript.pyannote[525].speaker SPEAKER_43
transcript.pyannote[525].start 4632.11721875
transcript.pyannote[525].end 4632.47159375
transcript.pyannote[526].speaker SPEAKER_29
transcript.pyannote[526].start 4633.41659375
transcript.pyannote[526].end 4642.86659375
transcript.pyannote[527].speaker SPEAKER_29
transcript.pyannote[527].start 4642.96784375
transcript.pyannote[527].end 4687.16346875
transcript.pyannote[528].speaker SPEAKER_43
transcript.pyannote[528].start 4675.19909375
transcript.pyannote[528].end 4675.99221875
transcript.pyannote[529].speaker SPEAKER_43
transcript.pyannote[529].start 4680.16034375
transcript.pyannote[529].end 4680.54846875
transcript.pyannote[530].speaker SPEAKER_29
transcript.pyannote[530].start 4687.33221875
transcript.pyannote[530].end 4698.57096875
transcript.pyannote[531].speaker SPEAKER_29
transcript.pyannote[531].start 4699.17846875
transcript.pyannote[531].end 4700.57909375
transcript.pyannote[532].speaker SPEAKER_29
transcript.pyannote[532].start 4700.98409375
transcript.pyannote[532].end 4702.06409375
transcript.pyannote[533].speaker SPEAKER_29
transcript.pyannote[533].start 4702.51971875
transcript.pyannote[533].end 4705.94534375
transcript.pyannote[534].speaker SPEAKER_29
transcript.pyannote[534].start 4706.35034375
transcript.pyannote[534].end 4710.65346875
transcript.pyannote[535].speaker SPEAKER_29
transcript.pyannote[535].start 4711.53096875
transcript.pyannote[535].end 4713.75846875
transcript.pyannote[536].speaker SPEAKER_43
transcript.pyannote[536].start 4713.74159375
transcript.pyannote[536].end 4715.17596875
transcript.pyannote[537].speaker SPEAKER_29
transcript.pyannote[537].start 4713.77534375
transcript.pyannote[537].end 4713.79221875
transcript.pyannote[538].speaker SPEAKER_29
transcript.pyannote[538].start 4713.85971875
transcript.pyannote[538].end 4715.15909375
transcript.pyannote[539].speaker SPEAKER_29
transcript.pyannote[539].start 4715.17596875
transcript.pyannote[539].end 4715.46284375
transcript.pyannote[540].speaker SPEAKER_43
transcript.pyannote[540].start 4715.46284375
transcript.pyannote[540].end 4720.66034375
transcript.pyannote[541].speaker SPEAKER_29
transcript.pyannote[541].start 4717.50471875
transcript.pyannote[541].end 4728.25409375
transcript.pyannote[542].speaker SPEAKER_42
transcript.pyannote[542].start 4727.86596875
transcript.pyannote[542].end 4731.76409375
transcript.pyannote[543].speaker SPEAKER_29
transcript.pyannote[543].start 4729.31721875
transcript.pyannote[543].end 4730.31284375
transcript.pyannote[544].speaker SPEAKER_29
transcript.pyannote[544].start 4730.98784375
transcript.pyannote[544].end 4745.75346875
transcript.pyannote[545].speaker SPEAKER_43
transcript.pyannote[545].start 4745.01096875
transcript.pyannote[545].end 4747.49159375
transcript.pyannote[546].speaker SPEAKER_29
transcript.pyannote[546].start 4746.61409375
transcript.pyannote[546].end 4746.63096875
transcript.pyannote[547].speaker SPEAKER_29
transcript.pyannote[547].start 4746.66471875
transcript.pyannote[547].end 4762.13909375
transcript.pyannote[548].speaker SPEAKER_43
transcript.pyannote[548].start 4761.93659375
transcript.pyannote[548].end 4767.33659375
transcript.pyannote[549].speaker SPEAKER_29
transcript.pyannote[549].start 4764.92346875
transcript.pyannote[549].end 4792.48034375
transcript.pyannote[550].speaker SPEAKER_29
transcript.pyannote[550].start 4793.17221875
transcript.pyannote[550].end 4801.05284375
transcript.pyannote[551].speaker SPEAKER_43
transcript.pyannote[551].start 4799.51721875
transcript.pyannote[551].end 4799.97284375
transcript.pyannote[552].speaker SPEAKER_43
transcript.pyannote[552].start 4800.39471875
transcript.pyannote[552].end 4806.97596875
transcript.pyannote[553].speaker SPEAKER_29
transcript.pyannote[553].start 4806.97596875
transcript.pyannote[553].end 4808.29221875
transcript.pyannote[554].speaker SPEAKER_07
transcript.pyannote[554].start 4810.77284375
transcript.pyannote[554].end 4812.35909375
transcript.pyannote[555].speaker SPEAKER_08
transcript.pyannote[555].start 4812.47721875
transcript.pyannote[555].end 4817.42159375
transcript.pyannote[556].speaker SPEAKER_08
transcript.pyannote[556].start 4818.28221875
transcript.pyannote[556].end 4821.21846875
transcript.pyannote[557].speaker SPEAKER_21
transcript.pyannote[557].start 4828.99784375
transcript.pyannote[557].end 4831.98471875
transcript.pyannote[558].speaker SPEAKER_01
transcript.pyannote[558].start 4836.25409375
transcript.pyannote[558].end 4836.35534375
transcript.pyannote[559].speaker SPEAKER_29
transcript.pyannote[559].start 4840.23659375
transcript.pyannote[559].end 4840.75971875
transcript.pyannote[560].speaker SPEAKER_21
transcript.pyannote[560].start 4841.58659375
transcript.pyannote[560].end 4853.85471875
transcript.pyannote[561].speaker SPEAKER_21
transcript.pyannote[561].start 4854.15846875
transcript.pyannote[561].end 4854.98534375
transcript.pyannote[562].speaker SPEAKER_21
transcript.pyannote[562].start 4855.00221875
transcript.pyannote[562].end 4923.02534375
transcript.pyannote[563].speaker SPEAKER_29
transcript.pyannote[563].start 4923.39659375
transcript.pyannote[563].end 4940.28846875
transcript.pyannote[564].speaker SPEAKER_00
transcript.pyannote[564].start 4933.99409375
transcript.pyannote[564].end 4934.38221875
transcript.pyannote[565].speaker SPEAKER_29
transcript.pyannote[565].start 4940.64284375
transcript.pyannote[565].end 4941.03096875
transcript.pyannote[566].speaker SPEAKER_28
transcript.pyannote[566].start 4941.03096875
transcript.pyannote[566].end 4963.01909375
transcript.pyannote[567].speaker SPEAKER_21
transcript.pyannote[567].start 4956.64034375
transcript.pyannote[567].end 4956.74159375
transcript.pyannote[568].speaker SPEAKER_21
transcript.pyannote[568].start 4962.74909375
transcript.pyannote[568].end 4964.58846875
transcript.pyannote[569].speaker SPEAKER_28
transcript.pyannote[569].start 4964.26784375
transcript.pyannote[569].end 4969.00971875
transcript.pyannote[570].speaker SPEAKER_21
transcript.pyannote[570].start 4968.26721875
transcript.pyannote[570].end 4970.14034375
transcript.pyannote[571].speaker SPEAKER_28
transcript.pyannote[571].start 4970.05596875
transcript.pyannote[571].end 4976.78909375
transcript.pyannote[572].speaker SPEAKER_21
transcript.pyannote[572].start 4977.04221875
transcript.pyannote[572].end 4980.36659375
transcript.pyannote[573].speaker SPEAKER_21
transcript.pyannote[573].start 4981.10909375
transcript.pyannote[573].end 4981.80096875
transcript.pyannote[574].speaker SPEAKER_21
transcript.pyannote[574].start 4983.23534375
transcript.pyannote[574].end 5082.66284375
transcript.pyannote[575].speaker SPEAKER_00
transcript.pyannote[575].start 5079.55784375
transcript.pyannote[575].end 5079.57471875
transcript.pyannote[576].speaker SPEAKER_17
transcript.pyannote[576].start 5079.57471875
transcript.pyannote[576].end 5079.89534375
transcript.pyannote[577].speaker SPEAKER_00
transcript.pyannote[577].start 5079.89534375
transcript.pyannote[577].end 5079.92909375
transcript.pyannote[578].speaker SPEAKER_29
transcript.pyannote[578].start 5094.22221875
transcript.pyannote[578].end 5094.52596875
transcript.pyannote[579].speaker SPEAKER_29
transcript.pyannote[579].start 5094.96471875
transcript.pyannote[579].end 5096.92221875
transcript.pyannote[580].speaker SPEAKER_21
transcript.pyannote[580].start 5095.06596875
transcript.pyannote[580].end 5144.17221875
transcript.pyannote[581].speaker SPEAKER_21
transcript.pyannote[581].start 5144.74596875
transcript.pyannote[581].end 5155.86659375
transcript.pyannote[582].speaker SPEAKER_21
transcript.pyannote[582].start 5156.33909375
transcript.pyannote[582].end 5178.81659375
transcript.pyannote[583].speaker SPEAKER_29
transcript.pyannote[583].start 5180.47034375
transcript.pyannote[583].end 5188.11471875
transcript.pyannote[584].speaker SPEAKER_29
transcript.pyannote[584].start 5188.65471875
transcript.pyannote[584].end 5194.37534375
transcript.pyannote[585].speaker SPEAKER_29
transcript.pyannote[585].start 5194.71284375
transcript.pyannote[585].end 5207.31846875
transcript.pyannote[586].speaker SPEAKER_21
transcript.pyannote[586].start 5206.23846875
transcript.pyannote[586].end 5207.89221875
transcript.pyannote[587].speaker SPEAKER_29
transcript.pyannote[587].start 5208.04409375
transcript.pyannote[587].end 5208.68534375
transcript.pyannote[588].speaker SPEAKER_28
transcript.pyannote[588].start 5208.80346875
transcript.pyannote[588].end 5216.19471875
transcript.pyannote[589].speaker SPEAKER_21
transcript.pyannote[589].start 5215.21596875
transcript.pyannote[589].end 5223.18096875
transcript.pyannote[590].speaker SPEAKER_38
transcript.pyannote[590].start 5226.30284375
transcript.pyannote[590].end 5226.55596875
transcript.pyannote[591].speaker SPEAKER_21
transcript.pyannote[591].start 5226.55596875
transcript.pyannote[591].end 5279.35784375
transcript.pyannote[592].speaker SPEAKER_21
transcript.pyannote[592].start 5279.56034375
transcript.pyannote[592].end 5286.37784375
transcript.pyannote[593].speaker SPEAKER_21
transcript.pyannote[593].start 5287.00221875
transcript.pyannote[593].end 5287.74471875
transcript.pyannote[594].speaker SPEAKER_21
transcript.pyannote[594].start 5287.98096875
transcript.pyannote[594].end 5289.06096875
transcript.pyannote[595].speaker SPEAKER_21
transcript.pyannote[595].start 5289.51659375
transcript.pyannote[595].end 5292.95909375
transcript.pyannote[596].speaker SPEAKER_29
transcript.pyannote[596].start 5292.68909375
transcript.pyannote[596].end 5304.07971875
transcript.pyannote[597].speaker SPEAKER_29
transcript.pyannote[597].start 5304.68721875
transcript.pyannote[597].end 5305.53096875
transcript.pyannote[598].speaker SPEAKER_29
transcript.pyannote[598].start 5306.10471875
transcript.pyannote[598].end 5312.29784375
transcript.pyannote[599].speaker SPEAKER_29
transcript.pyannote[599].start 5313.19221875
transcript.pyannote[599].end 5314.28909375
transcript.pyannote[600].speaker SPEAKER_21
transcript.pyannote[600].start 5313.78284375
transcript.pyannote[600].end 5321.83221875
transcript.pyannote[601].speaker SPEAKER_29
transcript.pyannote[601].start 5320.87034375
transcript.pyannote[601].end 5320.92096875
transcript.pyannote[602].speaker SPEAKER_29
transcript.pyannote[602].start 5321.68034375
transcript.pyannote[602].end 5324.59971875
transcript.pyannote[603].speaker SPEAKER_32
transcript.pyannote[603].start 5324.59971875
transcript.pyannote[603].end 5339.23034375
transcript.pyannote[604].speaker SPEAKER_21
transcript.pyannote[604].start 5338.47096875
transcript.pyannote[604].end 5341.52534375
transcript.pyannote[605].speaker SPEAKER_32
transcript.pyannote[605].start 5340.63096875
transcript.pyannote[605].end 5362.19721875
transcript.pyannote[606].speaker SPEAKER_21
transcript.pyannote[606].start 5354.95784375
transcript.pyannote[606].end 5355.22784375
transcript.pyannote[607].speaker SPEAKER_21
transcript.pyannote[607].start 5360.52659375
transcript.pyannote[607].end 5365.58909375
transcript.pyannote[608].speaker SPEAKER_32
transcript.pyannote[608].start 5362.75409375
transcript.pyannote[608].end 5363.42909375
transcript.pyannote[609].speaker SPEAKER_32
transcript.pyannote[609].start 5364.01971875
transcript.pyannote[609].end 5364.49221875
transcript.pyannote[610].speaker SPEAKER_32
transcript.pyannote[610].start 5365.65659375
transcript.pyannote[610].end 5374.41471875
transcript.pyannote[611].speaker SPEAKER_21
transcript.pyannote[611].start 5374.31346875
transcript.pyannote[611].end 5381.35034375
transcript.pyannote[612].speaker SPEAKER_32
transcript.pyannote[612].start 5379.02159375
transcript.pyannote[612].end 5379.03846875
transcript.pyannote[613].speaker SPEAKER_28
transcript.pyannote[613].start 5379.03846875
transcript.pyannote[613].end 5379.51096875
transcript.pyannote[614].speaker SPEAKER_28
transcript.pyannote[614].start 5380.43909375
transcript.pyannote[614].end 5382.05909375
transcript.pyannote[615].speaker SPEAKER_21
transcript.pyannote[615].start 5382.05909375
transcript.pyannote[615].end 5430.54096875
transcript.pyannote[616].speaker SPEAKER_28
transcript.pyannote[616].start 5385.65346875
transcript.pyannote[616].end 5386.21034375
transcript.pyannote[617].speaker SPEAKER_29
transcript.pyannote[617].start 5431.57034375
transcript.pyannote[617].end 5434.64159375
transcript.pyannote[618].speaker SPEAKER_29
transcript.pyannote[618].start 5435.43471875
transcript.pyannote[618].end 5435.78909375
transcript.pyannote[619].speaker SPEAKER_19
transcript.pyannote[619].start 5436.39659375
transcript.pyannote[619].end 5460.05534375
transcript.pyannote[620].speaker SPEAKER_21
transcript.pyannote[620].start 5459.43096875
transcript.pyannote[620].end 5483.81534375
transcript.pyannote[621].speaker SPEAKER_19
transcript.pyannote[621].start 5484.40596875
transcript.pyannote[621].end 5491.86471875
transcript.pyannote[622].speaker SPEAKER_21
transcript.pyannote[622].start 5491.86471875
transcript.pyannote[622].end 5505.39846875
transcript.pyannote[623].speaker SPEAKER_19
transcript.pyannote[623].start 5505.76971875
transcript.pyannote[623].end 5547.78846875
transcript.pyannote[624].speaker SPEAKER_21
transcript.pyannote[624].start 5547.78846875
transcript.pyannote[624].end 5555.01096875
transcript.pyannote[625].speaker SPEAKER_21
transcript.pyannote[625].start 5555.12909375
transcript.pyannote[625].end 5557.54221875
transcript.pyannote[626].speaker SPEAKER_19
transcript.pyannote[626].start 5557.59284375
transcript.pyannote[626].end 5568.37596875
transcript.pyannote[627].speaker SPEAKER_21
transcript.pyannote[627].start 5568.54471875
transcript.pyannote[627].end 5570.94096875
transcript.pyannote[628].speaker SPEAKER_19
transcript.pyannote[628].start 5568.59534375
transcript.pyannote[628].end 5569.00034375
transcript.pyannote[629].speaker SPEAKER_19
transcript.pyannote[629].start 5570.94096875
transcript.pyannote[629].end 5586.06096875
transcript.pyannote[630].speaker SPEAKER_21
transcript.pyannote[630].start 5576.25659375
transcript.pyannote[630].end 5576.57721875
transcript.pyannote[631].speaker SPEAKER_19
transcript.pyannote[631].start 5586.55034375
transcript.pyannote[631].end 5596.69221875
transcript.pyannote[632].speaker SPEAKER_21
transcript.pyannote[632].start 5592.84471875
transcript.pyannote[632].end 5593.35096875
transcript.pyannote[633].speaker SPEAKER_21
transcript.pyannote[633].start 5596.69221875
transcript.pyannote[633].end 5607.62721875
transcript.pyannote[634].speaker SPEAKER_19
transcript.pyannote[634].start 5596.77659375
transcript.pyannote[634].end 5597.23221875
transcript.pyannote[635].speaker SPEAKER_21
transcript.pyannote[635].start 5607.67784375
transcript.pyannote[635].end 5609.16284375
transcript.pyannote[636].speaker SPEAKER_29
transcript.pyannote[636].start 5609.43284375
transcript.pyannote[636].end 5610.02346875
transcript.pyannote[637].speaker SPEAKER_08
transcript.pyannote[637].start 5610.02346875
transcript.pyannote[637].end 5610.34409375
transcript.pyannote[638].speaker SPEAKER_08
transcript.pyannote[638].start 5613.58409375
transcript.pyannote[638].end 5618.03909375
transcript.pyannote[639].speaker SPEAKER_10
transcript.pyannote[639].start 5628.11346875
transcript.pyannote[639].end 5630.86409375
transcript.pyannote[640].speaker SPEAKER_29
transcript.pyannote[640].start 5636.14596875
transcript.pyannote[640].end 5636.63534375
transcript.pyannote[641].speaker SPEAKER_10
transcript.pyannote[641].start 5637.51284375
transcript.pyannote[641].end 5638.15409375
transcript.pyannote[642].speaker SPEAKER_10
transcript.pyannote[642].start 5638.44096875
transcript.pyannote[642].end 5641.32659375
transcript.pyannote[643].speaker SPEAKER_10
transcript.pyannote[643].start 5641.98471875
transcript.pyannote[643].end 5643.85784375
transcript.pyannote[644].speaker SPEAKER_10
transcript.pyannote[644].start 5645.51159375
transcript.pyannote[644].end 5646.40596875
transcript.pyannote[645].speaker SPEAKER_29
transcript.pyannote[645].start 5647.19909375
transcript.pyannote[645].end 5648.66721875
transcript.pyannote[646].speaker SPEAKER_10
transcript.pyannote[646].start 5648.73471875
transcript.pyannote[646].end 5649.83159375
transcript.pyannote[647].speaker SPEAKER_10
transcript.pyannote[647].start 5650.37159375
transcript.pyannote[647].end 5655.04596875
transcript.pyannote[648].speaker SPEAKER_10
transcript.pyannote[648].start 5655.55221875
transcript.pyannote[648].end 5656.76721875
transcript.pyannote[649].speaker SPEAKER_10
transcript.pyannote[649].start 5657.27346875
transcript.pyannote[649].end 5658.80909375
transcript.pyannote[650].speaker SPEAKER_10
transcript.pyannote[650].start 5658.97784375
transcript.pyannote[650].end 5661.64409375
transcript.pyannote[651].speaker SPEAKER_10
transcript.pyannote[651].start 5662.53846875
transcript.pyannote[651].end 5669.20409375
transcript.pyannote[652].speaker SPEAKER_10
transcript.pyannote[652].start 5670.38534375
transcript.pyannote[652].end 5674.57034375
transcript.pyannote[653].speaker SPEAKER_10
transcript.pyannote[653].start 5674.73909375
transcript.pyannote[653].end 5676.32534375
transcript.pyannote[654].speaker SPEAKER_10
transcript.pyannote[654].start 5676.69659375
transcript.pyannote[654].end 5678.92409375
transcript.pyannote[655].speaker SPEAKER_10
transcript.pyannote[655].start 5679.39659375
transcript.pyannote[655].end 5685.43784375
transcript.pyannote[656].speaker SPEAKER_10
transcript.pyannote[656].start 5686.06221875
transcript.pyannote[656].end 5695.22534375
transcript.pyannote[657].speaker SPEAKER_10
transcript.pyannote[657].start 5695.30971875
transcript.pyannote[657].end 5697.25034375
transcript.pyannote[658].speaker SPEAKER_10
transcript.pyannote[658].start 5697.62159375
transcript.pyannote[658].end 5704.23659375
transcript.pyannote[659].speaker SPEAKER_10
transcript.pyannote[659].start 5704.75971875
transcript.pyannote[659].end 5706.02534375
transcript.pyannote[660].speaker SPEAKER_10
transcript.pyannote[660].start 5706.12659375
transcript.pyannote[660].end 5711.69534375
transcript.pyannote[661].speaker SPEAKER_10
transcript.pyannote[661].start 5712.13409375
transcript.pyannote[661].end 5719.27221875
transcript.pyannote[662].speaker SPEAKER_10
transcript.pyannote[662].start 5719.52534375
transcript.pyannote[662].end 5731.48971875
transcript.pyannote[663].speaker SPEAKER_10
transcript.pyannote[663].start 5731.75971875
transcript.pyannote[663].end 5733.71721875
transcript.pyannote[664].speaker SPEAKER_10
transcript.pyannote[664].start 5733.97034375
transcript.pyannote[664].end 5738.50971875
transcript.pyannote[665].speaker SPEAKER_10
transcript.pyannote[665].start 5739.10034375
transcript.pyannote[665].end 5744.44971875
transcript.pyannote[666].speaker SPEAKER_10
transcript.pyannote[666].start 5745.12471875
transcript.pyannote[666].end 5751.53721875
transcript.pyannote[667].speaker SPEAKER_10
transcript.pyannote[667].start 5751.92534375
transcript.pyannote[667].end 5757.07221875
transcript.pyannote[668].speaker SPEAKER_10
transcript.pyannote[668].start 5757.46034375
transcript.pyannote[668].end 5759.55284375
transcript.pyannote[669].speaker SPEAKER_10
transcript.pyannote[669].start 5759.90721875
transcript.pyannote[669].end 5763.60284375
transcript.pyannote[670].speaker SPEAKER_10
transcript.pyannote[670].start 5764.05846875
transcript.pyannote[670].end 5780.10659375
transcript.pyannote[671].speaker SPEAKER_10
transcript.pyannote[671].start 5780.74784375
transcript.pyannote[671].end 5781.50721875
transcript.pyannote[672].speaker SPEAKER_29
transcript.pyannote[672].start 5782.19909375
transcript.pyannote[672].end 5785.74284375
transcript.pyannote[673].speaker SPEAKER_29
transcript.pyannote[673].start 5786.02971875
transcript.pyannote[673].end 5794.58534375
transcript.pyannote[674].speaker SPEAKER_10
transcript.pyannote[674].start 5790.01221875
transcript.pyannote[674].end 5791.98659375
transcript.pyannote[675].speaker SPEAKER_10
transcript.pyannote[675].start 5795.17596875
transcript.pyannote[675].end 5795.80034375
transcript.pyannote[676].speaker SPEAKER_10
transcript.pyannote[676].start 5796.52596875
transcript.pyannote[676].end 5797.57221875
transcript.pyannote[677].speaker SPEAKER_34
transcript.pyannote[677].start 5799.96846875
transcript.pyannote[677].end 5832.01409375
transcript.pyannote[678].speaker SPEAKER_10
transcript.pyannote[678].start 5810.85284375
transcript.pyannote[678].end 5811.52784375
transcript.pyannote[679].speaker SPEAKER_10
transcript.pyannote[679].start 5832.01409375
transcript.pyannote[679].end 5845.48034375
transcript.pyannote[680].speaker SPEAKER_10
transcript.pyannote[680].start 5845.83471875
transcript.pyannote[680].end 5847.15096875
transcript.pyannote[681].speaker SPEAKER_34
transcript.pyannote[681].start 5848.19721875
transcript.pyannote[681].end 5857.91721875
transcript.pyannote[682].speaker SPEAKER_10
transcript.pyannote[682].start 5857.91721875
transcript.pyannote[682].end 5899.58159375
transcript.pyannote[683].speaker SPEAKER_34
transcript.pyannote[683].start 5899.58159375
transcript.pyannote[683].end 5908.30596875
transcript.pyannote[684].speaker SPEAKER_10
transcript.pyannote[684].start 5901.58971875
transcript.pyannote[684].end 5901.67409375
transcript.pyannote[685].speaker SPEAKER_10
transcript.pyannote[685].start 5908.27221875
transcript.pyannote[685].end 5918.59971875
transcript.pyannote[686].speaker SPEAKER_38
transcript.pyannote[686].start 5918.81909375
transcript.pyannote[686].end 5919.13971875
transcript.pyannote[687].speaker SPEAKER_10
transcript.pyannote[687].start 5919.13971875
transcript.pyannote[687].end 5922.31221875
transcript.pyannote[688].speaker SPEAKER_10
transcript.pyannote[688].start 5922.73409375
transcript.pyannote[688].end 5928.45471875
transcript.pyannote[689].speaker SPEAKER_10
transcript.pyannote[689].start 5929.12971875
transcript.pyannote[689].end 5939.59221875
transcript.pyannote[690].speaker SPEAKER_10
transcript.pyannote[690].start 5939.99721875
transcript.pyannote[690].end 5941.81971875
transcript.pyannote[691].speaker SPEAKER_10
transcript.pyannote[691].start 5942.17409375
transcript.pyannote[691].end 5944.58721875
transcript.pyannote[692].speaker SPEAKER_10
transcript.pyannote[692].start 5944.97534375
transcript.pyannote[692].end 5948.70471875
transcript.pyannote[693].speaker SPEAKER_10
transcript.pyannote[693].start 5948.94096875
transcript.pyannote[693].end 5951.89409375
transcript.pyannote[694].speaker SPEAKER_10
transcript.pyannote[694].start 5952.07971875
transcript.pyannote[694].end 5952.82221875
transcript.pyannote[695].speaker SPEAKER_10
transcript.pyannote[695].start 5953.27784375
transcript.pyannote[695].end 5964.17909375
transcript.pyannote[696].speaker SPEAKER_10
transcript.pyannote[696].start 5965.09034375
transcript.pyannote[696].end 5968.29659375
transcript.pyannote[697].speaker SPEAKER_10
transcript.pyannote[697].start 5968.63409375
transcript.pyannote[697].end 5972.49846875
transcript.pyannote[698].speaker SPEAKER_10
transcript.pyannote[698].start 5973.35909375
transcript.pyannote[698].end 5987.31471875
transcript.pyannote[699].speaker SPEAKER_10
transcript.pyannote[699].start 5987.98971875
transcript.pyannote[699].end 5989.03596875
transcript.pyannote[700].speaker SPEAKER_10
transcript.pyannote[700].start 5989.44096875
transcript.pyannote[700].end 5997.86159375
transcript.pyannote[701].speaker SPEAKER_10
transcript.pyannote[701].start 5998.03034375
transcript.pyannote[701].end 6023.78159375
transcript.pyannote[702].speaker SPEAKER_10
transcript.pyannote[702].start 6024.30471875
transcript.pyannote[702].end 6031.30784375
transcript.pyannote[703].speaker SPEAKER_10
transcript.pyannote[703].start 6031.44284375
transcript.pyannote[703].end 6032.67471875
transcript.pyannote[704].speaker SPEAKER_29
transcript.pyannote[704].start 6032.47221875
transcript.pyannote[704].end 6044.16659375
transcript.pyannote[705].speaker SPEAKER_29
transcript.pyannote[705].start 6044.40284375
transcript.pyannote[705].end 6076.41471875
transcript.pyannote[706].speaker SPEAKER_10
transcript.pyannote[706].start 6077.42721875
transcript.pyannote[706].end 6079.58721875
transcript.pyannote[707].speaker SPEAKER_34
transcript.pyannote[707].start 6079.50284375
transcript.pyannote[707].end 6116.86409375
transcript.pyannote[708].speaker SPEAKER_10
transcript.pyannote[708].start 6116.77971875
transcript.pyannote[708].end 6126.97221875
transcript.pyannote[709].speaker SPEAKER_10
transcript.pyannote[709].start 6128.49096875
transcript.pyannote[709].end 6137.19846875
transcript.pyannote[710].speaker SPEAKER_10
transcript.pyannote[710].start 6138.73409375
transcript.pyannote[710].end 6146.41221875
transcript.pyannote[711].speaker SPEAKER_10
transcript.pyannote[711].start 6146.76659375
transcript.pyannote[711].end 6159.40596875
transcript.pyannote[712].speaker SPEAKER_10
transcript.pyannote[712].start 6159.69284375
transcript.pyannote[712].end 6164.70471875
transcript.pyannote[713].speaker SPEAKER_10
transcript.pyannote[713].start 6165.66659375
transcript.pyannote[713].end 6166.45971875
transcript.pyannote[714].speaker SPEAKER_10
transcript.pyannote[714].start 6167.91096875
transcript.pyannote[714].end 6180.36471875
transcript.pyannote[715].speaker SPEAKER_38
transcript.pyannote[715].start 6167.99534375
transcript.pyannote[715].end 6168.36659375
transcript.pyannote[716].speaker SPEAKER_10
transcript.pyannote[716].start 6181.05659375
transcript.pyannote[716].end 6182.08596875
transcript.pyannote[717].speaker SPEAKER_29
transcript.pyannote[717].start 6182.42346875
transcript.pyannote[717].end 6183.30096875
transcript.pyannote[718].speaker SPEAKER_10
transcript.pyannote[718].start 6182.49096875
transcript.pyannote[718].end 6185.61284375
transcript.pyannote[719].speaker SPEAKER_29
transcript.pyannote[719].start 6185.03909375
transcript.pyannote[719].end 6187.77284375
transcript.pyannote[720].speaker SPEAKER_10
transcript.pyannote[720].start 6187.99221875
transcript.pyannote[720].end 6190.60784375
transcript.pyannote[721].speaker SPEAKER_10
transcript.pyannote[721].start 6190.64159375
transcript.pyannote[721].end 6206.77409375
transcript.pyannote[722].speaker SPEAKER_10
transcript.pyannote[722].start 6207.31409375
transcript.pyannote[722].end 6228.72846875
transcript.pyannote[723].speaker SPEAKER_10
transcript.pyannote[723].start 6229.04909375
transcript.pyannote[723].end 6234.41534375
transcript.pyannote[724].speaker SPEAKER_10
transcript.pyannote[724].start 6234.78659375
transcript.pyannote[724].end 6235.36034375
transcript.pyannote[725].speaker SPEAKER_10
transcript.pyannote[725].start 6235.64721875
transcript.pyannote[725].end 6237.85784375
transcript.pyannote[726].speaker SPEAKER_10
transcript.pyannote[726].start 6237.99284375
transcript.pyannote[726].end 6250.68284375
transcript.pyannote[727].speaker SPEAKER_41
transcript.pyannote[727].start 6250.68284375
transcript.pyannote[727].end 6250.69971875
transcript.pyannote[728].speaker SPEAKER_29
transcript.pyannote[728].start 6252.33659375
transcript.pyannote[728].end 6256.36971875
transcript.pyannote[729].speaker SPEAKER_29
transcript.pyannote[729].start 6256.87596875
transcript.pyannote[729].end 6268.03034375
transcript.pyannote[730].speaker SPEAKER_29
transcript.pyannote[730].start 6268.57034375
transcript.pyannote[730].end 6271.21971875
transcript.pyannote[731].speaker SPEAKER_29
transcript.pyannote[731].start 6271.67534375
transcript.pyannote[731].end 6273.49784375
transcript.pyannote[732].speaker SPEAKER_29
transcript.pyannote[732].start 6273.58221875
transcript.pyannote[732].end 6273.85221875
transcript.pyannote[733].speaker SPEAKER_04
transcript.pyannote[733].start 6273.85221875
transcript.pyannote[733].end 6273.91971875
transcript.pyannote[734].speaker SPEAKER_29
transcript.pyannote[734].start 6273.91971875
transcript.pyannote[734].end 6273.97034375
transcript.pyannote[735].speaker SPEAKER_38
transcript.pyannote[735].start 6273.97034375
transcript.pyannote[735].end 6274.00409375
transcript.pyannote[736].speaker SPEAKER_29
transcript.pyannote[736].start 6274.13909375
transcript.pyannote[736].end 6278.42534375
transcript.pyannote[737].speaker SPEAKER_10
transcript.pyannote[737].start 6277.88534375
transcript.pyannote[737].end 6281.51346875
transcript.pyannote[738].speaker SPEAKER_29
transcript.pyannote[738].start 6283.40346875
transcript.pyannote[738].end 6283.77471875
transcript.pyannote[739].speaker SPEAKER_10
transcript.pyannote[739].start 6284.88846875
transcript.pyannote[739].end 6288.61784375
transcript.pyannote[740].speaker SPEAKER_29
transcript.pyannote[740].start 6289.52909375
transcript.pyannote[740].end 6300.44721875
transcript.pyannote[741].speaker SPEAKER_10
transcript.pyannote[741].start 6299.97471875
transcript.pyannote[741].end 6303.33284375
transcript.pyannote[742].speaker SPEAKER_10
transcript.pyannote[742].start 6303.55221875
transcript.pyannote[742].end 6305.74596875
transcript.pyannote[743].speaker SPEAKER_10
transcript.pyannote[743].start 6306.35346875
transcript.pyannote[743].end 6306.91034375
transcript.pyannote[744].speaker SPEAKER_32
transcript.pyannote[744].start 6309.25596875
transcript.pyannote[744].end 6327.17721875
transcript.pyannote[745].speaker SPEAKER_10
transcript.pyannote[745].start 6327.61596875
transcript.pyannote[745].end 6364.09971875
transcript.pyannote[746].speaker SPEAKER_00
transcript.pyannote[746].start 6353.89034375
transcript.pyannote[746].end 6354.56534375
transcript.pyannote[747].speaker SPEAKER_29
transcript.pyannote[747].start 6364.31909375
transcript.pyannote[747].end 6371.38971875
transcript.pyannote[748].speaker SPEAKER_10
transcript.pyannote[748].start 6366.81659375
transcript.pyannote[748].end 6367.17096875
transcript.pyannote[749].speaker SPEAKER_29
transcript.pyannote[749].start 6371.79471875
transcript.pyannote[749].end 6379.67534375
transcript.pyannote[750].speaker SPEAKER_10
transcript.pyannote[750].start 6379.48971875
transcript.pyannote[750].end 6380.70471875
transcript.pyannote[751].speaker SPEAKER_29
transcript.pyannote[751].start 6380.70471875
transcript.pyannote[751].end 6395.90909375
transcript.pyannote[752].speaker SPEAKER_10
transcript.pyannote[752].start 6382.10534375
transcript.pyannote[752].end 6384.13034375
transcript.pyannote[753].speaker SPEAKER_10
transcript.pyannote[753].start 6386.56034375
transcript.pyannote[753].end 6389.37846875
transcript.pyannote[754].speaker SPEAKER_10
transcript.pyannote[754].start 6393.31034375
transcript.pyannote[754].end 6394.23846875
transcript.pyannote[755].speaker SPEAKER_10
transcript.pyannote[755].start 6395.43659375
transcript.pyannote[755].end 6402.45659375
transcript.pyannote[756].speaker SPEAKER_29
transcript.pyannote[756].start 6401.59596875
transcript.pyannote[756].end 6407.48534375
transcript.pyannote[757].speaker SPEAKER_10
transcript.pyannote[757].start 6406.87784375
transcript.pyannote[757].end 6409.35846875
transcript.pyannote[758].speaker SPEAKER_29
transcript.pyannote[758].start 6408.91971875
transcript.pyannote[758].end 6410.03346875
transcript.pyannote[759].speaker SPEAKER_08
transcript.pyannote[759].start 6410.03346875
transcript.pyannote[759].end 6410.18534375
transcript.pyannote[760].speaker SPEAKER_29
transcript.pyannote[760].start 6410.18534375
transcript.pyannote[760].end 6410.21909375
transcript.pyannote[761].speaker SPEAKER_10
transcript.pyannote[761].start 6410.52284375
transcript.pyannote[761].end 6410.59034375
transcript.pyannote[762].speaker SPEAKER_08
transcript.pyannote[762].start 6413.10471875
transcript.pyannote[762].end 6414.20159375
transcript.pyannote[763].speaker SPEAKER_08
transcript.pyannote[763].start 6414.74159375
transcript.pyannote[763].end 6415.23096875
transcript.pyannote[764].speaker SPEAKER_08
transcript.pyannote[764].start 6415.70346875
transcript.pyannote[764].end 6417.03659375
transcript.pyannote[765].speaker SPEAKER_08
transcript.pyannote[765].start 6417.42471875
transcript.pyannote[765].end 6422.67284375
transcript.pyannote[766].speaker SPEAKER_27
transcript.pyannote[766].start 6427.76909375
transcript.pyannote[766].end 6431.31284375
transcript.pyannote[767].speaker SPEAKER_27
transcript.pyannote[767].start 6436.51034375
transcript.pyannote[767].end 6437.82659375
transcript.pyannote[768].speaker SPEAKER_27
transcript.pyannote[768].start 6438.53534375
transcript.pyannote[768].end 6439.09221875
transcript.pyannote[769].speaker SPEAKER_27
transcript.pyannote[769].start 6439.37909375
transcript.pyannote[769].end 6440.54346875
transcript.pyannote[770].speaker SPEAKER_27
transcript.pyannote[770].start 6440.91471875
transcript.pyannote[770].end 6444.50909375
transcript.pyannote[771].speaker SPEAKER_27
transcript.pyannote[771].start 6445.01534375
transcript.pyannote[771].end 6447.54659375
transcript.pyannote[772].speaker SPEAKER_27
transcript.pyannote[772].start 6448.13721875
transcript.pyannote[772].end 6456.13596875
transcript.pyannote[773].speaker SPEAKER_27
transcript.pyannote[773].start 6456.81096875
transcript.pyannote[773].end 6461.29971875
transcript.pyannote[774].speaker SPEAKER_27
transcript.pyannote[774].start 6462.98721875
transcript.pyannote[774].end 6463.12221875
transcript.pyannote[775].speaker SPEAKER_29
transcript.pyannote[775].start 6463.12221875
transcript.pyannote[775].end 6463.13909375
transcript.pyannote[776].speaker SPEAKER_29
transcript.pyannote[776].start 6464.06721875
transcript.pyannote[776].end 6464.89409375
transcript.pyannote[777].speaker SPEAKER_29
transcript.pyannote[777].start 6464.97846875
transcript.pyannote[777].end 6465.01221875
transcript.pyannote[778].speaker SPEAKER_29
transcript.pyannote[778].start 6465.56909375
transcript.pyannote[778].end 6466.88534375
transcript.pyannote[779].speaker SPEAKER_29
transcript.pyannote[779].start 6467.15534375
transcript.pyannote[779].end 6468.96096875
transcript.pyannote[780].speaker SPEAKER_27
transcript.pyannote[780].start 6468.96096875
transcript.pyannote[780].end 6471.93096875
transcript.pyannote[781].speaker SPEAKER_29
transcript.pyannote[781].start 6469.16346875
transcript.pyannote[781].end 6470.12534375
transcript.pyannote[782].speaker SPEAKER_14
transcript.pyannote[782].start 6473.33159375
transcript.pyannote[782].end 6476.18346875
transcript.pyannote[783].speaker SPEAKER_27
transcript.pyannote[783].start 6475.96409375
transcript.pyannote[783].end 6476.40284375
transcript.pyannote[784].speaker SPEAKER_14
transcript.pyannote[784].start 6476.40284375
transcript.pyannote[784].end 6478.90034375
transcript.pyannote[785].speaker SPEAKER_27
transcript.pyannote[785].start 6478.61346875
transcript.pyannote[785].end 6480.33471875
transcript.pyannote[786].speaker SPEAKER_14
transcript.pyannote[786].start 6480.82409375
transcript.pyannote[786].end 6481.87034375
transcript.pyannote[787].speaker SPEAKER_14
transcript.pyannote[787].start 6482.73096875
transcript.pyannote[787].end 6483.96284375
transcript.pyannote[788].speaker SPEAKER_14
transcript.pyannote[788].start 6489.37971875
transcript.pyannote[788].end 6489.97034375
transcript.pyannote[789].speaker SPEAKER_14
transcript.pyannote[789].start 6491.42159375
transcript.pyannote[789].end 6493.46346875
transcript.pyannote[790].speaker SPEAKER_14
transcript.pyannote[790].start 6493.59846875
transcript.pyannote[790].end 6496.18034375
transcript.pyannote[791].speaker SPEAKER_14
transcript.pyannote[791].start 6496.93971875
transcript.pyannote[791].end 6498.12096875
transcript.pyannote[792].speaker SPEAKER_14
transcript.pyannote[792].start 6498.96471875
transcript.pyannote[792].end 6500.77034375
transcript.pyannote[793].speaker SPEAKER_14
transcript.pyannote[793].start 6501.69846875
transcript.pyannote[793].end 6502.99784375
transcript.pyannote[794].speaker SPEAKER_14
transcript.pyannote[794].start 6505.66409375
transcript.pyannote[794].end 6506.23784375
transcript.pyannote[795].speaker SPEAKER_14
transcript.pyannote[795].start 6506.86221875
transcript.pyannote[795].end 6508.00971875
transcript.pyannote[796].speaker SPEAKER_14
transcript.pyannote[796].start 6508.38096875
transcript.pyannote[796].end 6509.71409375
transcript.pyannote[797].speaker SPEAKER_14
transcript.pyannote[797].start 6510.11909375
transcript.pyannote[797].end 6510.91221875
transcript.pyannote[798].speaker SPEAKER_14
transcript.pyannote[798].start 6514.50659375
transcript.pyannote[798].end 6515.23221875
transcript.pyannote[799].speaker SPEAKER_14
transcript.pyannote[799].start 6516.00846875
transcript.pyannote[799].end 6516.10971875
transcript.pyannote[800].speaker SPEAKER_13
transcript.pyannote[800].start 6516.10971875
transcript.pyannote[800].end 6516.26159375
transcript.pyannote[801].speaker SPEAKER_14
transcript.pyannote[801].start 6516.26159375
transcript.pyannote[801].end 6516.48096875
transcript.pyannote[802].speaker SPEAKER_14
transcript.pyannote[802].start 6516.68346875
transcript.pyannote[802].end 6520.63221875
transcript.pyannote[803].speaker SPEAKER_24
transcript.pyannote[803].start 6520.63221875
transcript.pyannote[803].end 6520.69971875
transcript.pyannote[804].speaker SPEAKER_13
transcript.pyannote[804].start 6520.80096875
transcript.pyannote[804].end 6523.55159375
transcript.pyannote[805].speaker SPEAKER_13
transcript.pyannote[805].start 6524.88471875
transcript.pyannote[805].end 6527.78721875
transcript.pyannote[806].speaker SPEAKER_27
transcript.pyannote[806].start 6531.97221875
transcript.pyannote[806].end 6532.02284375
transcript.pyannote[807].speaker SPEAKER_27
transcript.pyannote[807].start 6532.07346875
transcript.pyannote[807].end 6532.25909375
transcript.pyannote[808].speaker SPEAKER_27
transcript.pyannote[808].start 6532.27596875
transcript.pyannote[808].end 6533.06909375
transcript.pyannote[809].speaker SPEAKER_27
transcript.pyannote[809].start 6533.57534375
transcript.pyannote[809].end 6535.98846875
transcript.pyannote[810].speaker SPEAKER_14
transcript.pyannote[810].start 6535.93784375
transcript.pyannote[810].end 6537.08534375
transcript.pyannote[811].speaker SPEAKER_27
transcript.pyannote[811].start 6537.23721875
transcript.pyannote[811].end 6538.13159375
transcript.pyannote[812].speaker SPEAKER_14
transcript.pyannote[812].start 6538.38471875
transcript.pyannote[812].end 6539.32971875
transcript.pyannote[813].speaker SPEAKER_27
transcript.pyannote[813].start 6538.65471875
transcript.pyannote[813].end 6542.02971875
transcript.pyannote[814].speaker SPEAKER_29
transcript.pyannote[814].start 6542.02971875
transcript.pyannote[814].end 6545.65784375
transcript.pyannote[815].speaker SPEAKER_38
transcript.pyannote[815].start 6544.54409375
transcript.pyannote[815].end 6545.33721875
transcript.pyannote[816].speaker SPEAKER_38
transcript.pyannote[816].start 6545.48909375
transcript.pyannote[816].end 6546.02909375
transcript.pyannote[817].speaker SPEAKER_29
transcript.pyannote[817].start 6546.02909375
transcript.pyannote[817].end 6549.43784375
transcript.pyannote[818].speaker SPEAKER_29
transcript.pyannote[818].start 6550.11284375
transcript.pyannote[818].end 6553.06596875
transcript.pyannote[819].speaker SPEAKER_27
transcript.pyannote[819].start 6550.70346875
transcript.pyannote[819].end 6551.61471875
transcript.pyannote[820].speaker SPEAKER_29
transcript.pyannote[820].start 6554.01096875
transcript.pyannote[820].end 6562.53284375
transcript.pyannote[821].speaker SPEAKER_27
transcript.pyannote[821].start 6555.27659375
transcript.pyannote[821].end 6557.18346875
transcript.pyannote[822].speaker SPEAKER_27
transcript.pyannote[822].start 6557.20034375
transcript.pyannote[822].end 6557.97659375
transcript.pyannote[823].speaker SPEAKER_27
transcript.pyannote[823].start 6561.18284375
transcript.pyannote[823].end 6562.06034375
transcript.pyannote[824].speaker SPEAKER_27
transcript.pyannote[824].start 6562.53284375
transcript.pyannote[824].end 6567.32534375
transcript.pyannote[825].speaker SPEAKER_29
transcript.pyannote[825].start 6562.65096875
transcript.pyannote[825].end 6563.12346875
transcript.pyannote[826].speaker SPEAKER_29
transcript.pyannote[826].start 6567.32534375
transcript.pyannote[826].end 6567.37596875
transcript.pyannote[827].speaker SPEAKER_28
transcript.pyannote[827].start 6567.37596875
transcript.pyannote[827].end 6567.51096875
transcript.pyannote[828].speaker SPEAKER_29
transcript.pyannote[828].start 6567.51096875
transcript.pyannote[828].end 6567.59534375
transcript.pyannote[829].speaker SPEAKER_27
transcript.pyannote[829].start 6567.54471875
transcript.pyannote[829].end 6568.10159375
transcript.pyannote[830].speaker SPEAKER_27
transcript.pyannote[830].start 6569.28284375
transcript.pyannote[830].end 6569.31659375
transcript.pyannote[831].speaker SPEAKER_29
transcript.pyannote[831].start 6569.31659375
transcript.pyannote[831].end 6583.17096875
transcript.pyannote[832].speaker SPEAKER_27
transcript.pyannote[832].start 6581.98971875
transcript.pyannote[832].end 6585.98909375
transcript.pyannote[833].speaker SPEAKER_27
transcript.pyannote[833].start 6586.34346875
transcript.pyannote[833].end 6592.58721875
transcript.pyannote[834].speaker SPEAKER_27
transcript.pyannote[834].start 6592.90784375
transcript.pyannote[834].end 6594.52784375
transcript.pyannote[835].speaker SPEAKER_29
transcript.pyannote[835].start 6594.52784375
transcript.pyannote[835].end 6594.54471875
transcript.pyannote[836].speaker SPEAKER_29
transcript.pyannote[836].start 6596.02971875
transcript.pyannote[836].end 6604.63596875
transcript.pyannote[837].speaker SPEAKER_27
transcript.pyannote[837].start 6599.91096875
transcript.pyannote[837].end 6599.94471875
transcript.pyannote[838].speaker SPEAKER_27
transcript.pyannote[838].start 6599.99534375
transcript.pyannote[838].end 6602.35784375
transcript.pyannote[839].speaker SPEAKER_29
transcript.pyannote[839].start 6605.29409375
transcript.pyannote[839].end 6612.43221875
transcript.pyannote[840].speaker SPEAKER_27
transcript.pyannote[840].start 6610.98096875
transcript.pyannote[840].end 6617.95034375
transcript.pyannote[841].speaker SPEAKER_27
transcript.pyannote[841].start 6618.27096875
transcript.pyannote[841].end 6625.88159375
transcript.pyannote[842].speaker SPEAKER_27
transcript.pyannote[842].start 6626.20221875
transcript.pyannote[842].end 6627.50159375
transcript.pyannote[843].speaker SPEAKER_27
transcript.pyannote[843].start 6627.56909375
transcript.pyannote[843].end 6640.02284375
transcript.pyannote[844].speaker SPEAKER_29
transcript.pyannote[844].start 6640.02284375
transcript.pyannote[844].end 6675.03846875
transcript.pyannote[845].speaker SPEAKER_27
transcript.pyannote[845].start 6645.57471875
transcript.pyannote[845].end 6647.75159375
transcript.pyannote[846].speaker SPEAKER_00
transcript.pyannote[846].start 6656.23971875
transcript.pyannote[846].end 6657.38721875
transcript.pyannote[847].speaker SPEAKER_27
transcript.pyannote[847].start 6663.02346875
transcript.pyannote[847].end 6674.41409375
transcript.pyannote[848].speaker SPEAKER_27
transcript.pyannote[848].start 6675.03846875
transcript.pyannote[848].end 6675.12284375
transcript.pyannote[849].speaker SPEAKER_29
transcript.pyannote[849].start 6675.12284375
transcript.pyannote[849].end 6675.15659375
transcript.pyannote[850].speaker SPEAKER_27
transcript.pyannote[850].start 6675.15659375
transcript.pyannote[850].end 6675.20721875
transcript.pyannote[851].speaker SPEAKER_29
transcript.pyannote[851].start 6675.20721875
transcript.pyannote[851].end 6675.30846875
transcript.pyannote[852].speaker SPEAKER_27
transcript.pyannote[852].start 6675.30846875
transcript.pyannote[852].end 6675.76409375
transcript.pyannote[853].speaker SPEAKER_29
transcript.pyannote[853].start 6675.40971875
transcript.pyannote[853].end 6679.89846875
transcript.pyannote[854].speaker SPEAKER_27
transcript.pyannote[854].start 6677.26596875
transcript.pyannote[854].end 6684.01596875
transcript.pyannote[855].speaker SPEAKER_27
transcript.pyannote[855].start 6684.47159375
transcript.pyannote[855].end 6688.36971875
transcript.pyannote[856].speaker SPEAKER_27
transcript.pyannote[856].start 6688.67346875
transcript.pyannote[856].end 6692.97659375
transcript.pyannote[857].speaker SPEAKER_27
transcript.pyannote[857].start 6693.88784375
transcript.pyannote[857].end 6694.41096875
transcript.pyannote[858].speaker SPEAKER_27
transcript.pyannote[858].start 6695.49096875
transcript.pyannote[858].end 6698.61284375
transcript.pyannote[859].speaker SPEAKER_38
transcript.pyannote[859].start 6698.73096875
transcript.pyannote[859].end 6699.00096875
transcript.pyannote[860].speaker SPEAKER_27
transcript.pyannote[860].start 6699.30471875
transcript.pyannote[860].end 6702.03846875
transcript.pyannote[861].speaker SPEAKER_29
transcript.pyannote[861].start 6702.03846875
transcript.pyannote[861].end 6702.40971875
transcript.pyannote[862].speaker SPEAKER_27
transcript.pyannote[862].start 6702.40971875
transcript.pyannote[862].end 6702.61221875
transcript.pyannote[863].speaker SPEAKER_29
transcript.pyannote[863].start 6702.61221875
transcript.pyannote[863].end 6702.62909375
transcript.pyannote[864].speaker SPEAKER_27
transcript.pyannote[864].start 6702.62909375
transcript.pyannote[864].end 6702.96659375
transcript.pyannote[865].speaker SPEAKER_29
transcript.pyannote[865].start 6702.96659375
transcript.pyannote[865].end 6710.27346875
transcript.pyannote[866].speaker SPEAKER_29
transcript.pyannote[866].start 6710.84721875
transcript.pyannote[866].end 6712.07909375
transcript.pyannote[867].speaker SPEAKER_29
transcript.pyannote[867].start 6712.51784375
transcript.pyannote[867].end 6715.52159375
transcript.pyannote[868].speaker SPEAKER_29
transcript.pyannote[868].start 6715.70721875
transcript.pyannote[868].end 6726.74346875
transcript.pyannote[869].speaker SPEAKER_29
transcript.pyannote[869].start 6727.14846875
transcript.pyannote[869].end 6728.39721875
transcript.pyannote[870].speaker SPEAKER_29
transcript.pyannote[870].start 6728.95409375
transcript.pyannote[870].end 6742.40346875
transcript.pyannote[871].speaker SPEAKER_27
transcript.pyannote[871].start 6732.37971875
transcript.pyannote[871].end 6736.75034375
transcript.pyannote[872].speaker SPEAKER_29
transcript.pyannote[872].start 6742.70721875
transcript.pyannote[872].end 6744.88409375
transcript.pyannote[873].speaker SPEAKER_27
transcript.pyannote[873].start 6743.07846875
transcript.pyannote[873].end 6768.37409375
transcript.pyannote[874].speaker SPEAKER_27
transcript.pyannote[874].start 6768.67784375
transcript.pyannote[874].end 6769.99409375
transcript.pyannote[875].speaker SPEAKER_27
transcript.pyannote[875].start 6770.36534375
transcript.pyannote[875].end 6775.29284375
transcript.pyannote[876].speaker SPEAKER_27
transcript.pyannote[876].start 6775.52909375
transcript.pyannote[876].end 6776.23784375
transcript.pyannote[877].speaker SPEAKER_27
transcript.pyannote[877].start 6776.77784375
transcript.pyannote[877].end 6777.40221875
transcript.pyannote[878].speaker SPEAKER_27
transcript.pyannote[878].start 6777.63846875
transcript.pyannote[878].end 6782.93721875
transcript.pyannote[879].speaker SPEAKER_27
transcript.pyannote[879].start 6784.75971875
transcript.pyannote[879].end 6785.45159375
transcript.pyannote[880].speaker SPEAKER_38
transcript.pyannote[880].start 6784.81034375
transcript.pyannote[880].end 6785.14784375
transcript.pyannote[881].speaker SPEAKER_38
transcript.pyannote[881].start 6785.58659375
transcript.pyannote[881].end 6785.78909375
transcript.pyannote[882].speaker SPEAKER_27
transcript.pyannote[882].start 6785.78909375
transcript.pyannote[882].end 6789.18096875
transcript.pyannote[883].speaker SPEAKER_27
transcript.pyannote[883].start 6789.51846875
transcript.pyannote[883].end 6794.58096875
transcript.pyannote[884].speaker SPEAKER_27
transcript.pyannote[884].start 6794.96909375
transcript.pyannote[884].end 6800.74034375
transcript.pyannote[885].speaker SPEAKER_27
transcript.pyannote[885].start 6801.43221875
transcript.pyannote[885].end 6805.61721875
transcript.pyannote[886].speaker SPEAKER_27
transcript.pyannote[886].start 6805.98846875
transcript.pyannote[886].end 6807.10221875
transcript.pyannote[887].speaker SPEAKER_27
transcript.pyannote[887].start 6807.84471875
transcript.pyannote[887].end 6810.47721875
transcript.pyannote[888].speaker SPEAKER_27
transcript.pyannote[888].start 6810.69659375
transcript.pyannote[888].end 6812.02971875
transcript.pyannote[889].speaker SPEAKER_27
transcript.pyannote[889].start 6812.33346875
transcript.pyannote[889].end 6813.66659375
transcript.pyannote[890].speaker SPEAKER_27
transcript.pyannote[890].start 6815.15159375
transcript.pyannote[890].end 6821.83409375
transcript.pyannote[891].speaker SPEAKER_27
transcript.pyannote[891].start 6823.21784375
transcript.pyannote[891].end 6823.25159375
transcript.pyannote[892].speaker SPEAKER_29
transcript.pyannote[892].start 6823.25159375
transcript.pyannote[892].end 6824.02784375
transcript.pyannote[893].speaker SPEAKER_27
transcript.pyannote[893].start 6824.70284375
transcript.pyannote[893].end 6824.71971875
transcript.pyannote[894].speaker SPEAKER_29
transcript.pyannote[894].start 6824.71971875
transcript.pyannote[894].end 6828.46596875
transcript.pyannote[895].speaker SPEAKER_29
transcript.pyannote[895].start 6828.76971875
transcript.pyannote[895].end 6830.55846875
transcript.pyannote[896].speaker SPEAKER_19
transcript.pyannote[896].start 6831.08159375
transcript.pyannote[896].end 6831.73971875
transcript.pyannote[897].speaker SPEAKER_19
transcript.pyannote[897].start 6831.94221875
transcript.pyannote[897].end 6833.88284375
transcript.pyannote[898].speaker SPEAKER_19
transcript.pyannote[898].start 6834.47346875
transcript.pyannote[898].end 6859.46534375
transcript.pyannote[899].speaker SPEAKER_27
transcript.pyannote[899].start 6859.54971875
transcript.pyannote[899].end 6881.14971875
transcript.pyannote[900].speaker SPEAKER_27
transcript.pyannote[900].start 6881.18346875
transcript.pyannote[900].end 6881.21721875
transcript.pyannote[901].speaker SPEAKER_27
transcript.pyannote[901].start 6881.25096875
transcript.pyannote[901].end 6884.33909375
transcript.pyannote[902].speaker SPEAKER_27
transcript.pyannote[902].start 6884.79471875
transcript.pyannote[902].end 6887.62971875
transcript.pyannote[903].speaker SPEAKER_27
transcript.pyannote[903].start 6888.32159375
transcript.pyannote[903].end 6891.15659375
transcript.pyannote[904].speaker SPEAKER_27
transcript.pyannote[904].start 6891.69659375
transcript.pyannote[904].end 6895.94909375
transcript.pyannote[905].speaker SPEAKER_27
transcript.pyannote[905].start 6896.30346875
transcript.pyannote[905].end 6897.63659375
transcript.pyannote[906].speaker SPEAKER_29
transcript.pyannote[906].start 6897.63659375
transcript.pyannote[906].end 6897.65346875
transcript.pyannote[907].speaker SPEAKER_27
transcript.pyannote[907].start 6898.73346875
transcript.pyannote[907].end 6898.75034375
transcript.pyannote[908].speaker SPEAKER_29
transcript.pyannote[908].start 6898.75034375
transcript.pyannote[908].end 6923.97846875
transcript.pyannote[909].speaker SPEAKER_27
transcript.pyannote[909].start 6923.97846875
transcript.pyannote[909].end 6924.51846875
transcript.pyannote[910].speaker SPEAKER_29
transcript.pyannote[910].start 6924.51846875
transcript.pyannote[910].end 6924.53534375
transcript.pyannote[911].speaker SPEAKER_29
transcript.pyannote[911].start 6925.22721875
transcript.pyannote[911].end 6925.24409375
transcript.pyannote[912].speaker SPEAKER_27
transcript.pyannote[912].start 6925.24409375
transcript.pyannote[912].end 6937.93409375
transcript.pyannote[913].speaker SPEAKER_29
transcript.pyannote[913].start 6935.35221875
transcript.pyannote[913].end 6938.76096875
transcript.pyannote[914].speaker SPEAKER_27
transcript.pyannote[914].start 6938.76096875
transcript.pyannote[914].end 6938.84534375
transcript.pyannote[915].speaker SPEAKER_29
transcript.pyannote[915].start 6938.84534375
transcript.pyannote[915].end 6957.01971875
transcript.pyannote[916].speaker SPEAKER_27
transcript.pyannote[916].start 6938.91284375
transcript.pyannote[916].end 6940.97159375
transcript.pyannote[917].speaker SPEAKER_30
transcript.pyannote[917].start 6940.97159375
transcript.pyannote[917].end 6941.42721875
transcript.pyannote[918].speaker SPEAKER_29
transcript.pyannote[918].start 6957.40784375
transcript.pyannote[918].end 6965.05221875
transcript.pyannote[919].speaker SPEAKER_27
transcript.pyannote[919].start 6964.76534375
transcript.pyannote[919].end 6967.02659375
transcript.pyannote[920].speaker SPEAKER_29
transcript.pyannote[920].start 6967.02659375
transcript.pyannote[920].end 6967.49909375
transcript.pyannote[921].speaker SPEAKER_27
transcript.pyannote[921].start 6967.49909375
transcript.pyannote[921].end 6967.53284375
transcript.pyannote[922].speaker SPEAKER_29
transcript.pyannote[922].start 6967.53284375
transcript.pyannote[922].end 6967.54971875
transcript.pyannote[923].speaker SPEAKER_27
transcript.pyannote[923].start 6967.54971875
transcript.pyannote[923].end 6967.76909375
transcript.pyannote[924].speaker SPEAKER_29
transcript.pyannote[924].start 6967.76909375
transcript.pyannote[924].end 6994.26284375
transcript.pyannote[925].speaker SPEAKER_27
transcript.pyannote[925].start 6972.27471875
transcript.pyannote[925].end 6973.67534375
transcript.pyannote[926].speaker SPEAKER_27
transcript.pyannote[926].start 6993.16596875
transcript.pyannote[926].end 6995.41034375
transcript.pyannote[927].speaker SPEAKER_29
transcript.pyannote[927].start 6995.41034375
transcript.pyannote[927].end 6995.84909375
transcript.pyannote[928].speaker SPEAKER_27
transcript.pyannote[928].start 6995.42721875
transcript.pyannote[928].end 6995.61284375
transcript.pyannote[929].speaker SPEAKER_29
transcript.pyannote[929].start 6996.28784375
transcript.pyannote[929].end 6998.71784375
transcript.pyannote[930].speaker SPEAKER_29
transcript.pyannote[930].start 6999.24096875
transcript.pyannote[930].end 7004.92784375
transcript.pyannote[931].speaker SPEAKER_29
transcript.pyannote[931].start 7005.45096875
transcript.pyannote[931].end 7012.08284375
transcript.pyannote[932].speaker SPEAKER_27
transcript.pyannote[932].start 7008.40409375
transcript.pyannote[932].end 7008.42096875
transcript.pyannote[933].speaker SPEAKER_27
transcript.pyannote[933].start 7010.02409375
transcript.pyannote[933].end 7010.53034375
transcript.pyannote[934].speaker SPEAKER_27
transcript.pyannote[934].start 7010.81721875
transcript.pyannote[934].end 7017.11159375
transcript.pyannote[935].speaker SPEAKER_29
transcript.pyannote[935].start 7013.06159375
transcript.pyannote[935].end 7015.00221875
transcript.pyannote[936].speaker SPEAKER_29
transcript.pyannote[936].start 7015.13721875
transcript.pyannote[936].end 7020.45284375
transcript.pyannote[937].speaker SPEAKER_27
transcript.pyannote[937].start 7017.46596875
transcript.pyannote[937].end 7017.76971875
transcript.pyannote[938].speaker SPEAKER_27
transcript.pyannote[938].start 7018.10721875
transcript.pyannote[938].end 7018.84971875
transcript.pyannote[939].speaker SPEAKER_27
transcript.pyannote[939].start 7019.50784375
transcript.pyannote[939].end 7042.17096875
transcript.pyannote[940].speaker SPEAKER_29
transcript.pyannote[940].start 7041.24284375
transcript.pyannote[940].end 7043.97659375
transcript.pyannote[941].speaker SPEAKER_27
transcript.pyannote[941].start 7043.97659375
transcript.pyannote[941].end 7054.92846875
transcript.pyannote[942].speaker SPEAKER_29
transcript.pyannote[942].start 7054.92846875
transcript.pyannote[942].end 7061.13846875
transcript.pyannote[943].speaker SPEAKER_27
transcript.pyannote[943].start 7059.92346875
transcript.pyannote[943].end 7060.51409375
transcript.pyannote[944].speaker SPEAKER_08
transcript.pyannote[944].start 7061.29034375
transcript.pyannote[944].end 7061.40846875
transcript.pyannote[945].speaker SPEAKER_07
transcript.pyannote[945].start 7061.40846875
transcript.pyannote[945].end 7061.96534375
transcript.pyannote[946].speaker SPEAKER_08
transcript.pyannote[946].start 7061.96534375
transcript.pyannote[946].end 7063.21409375
transcript.pyannote[947].speaker SPEAKER_08
transcript.pyannote[947].start 7068.04034375
transcript.pyannote[947].end 7072.74846875
transcript.pyannote[948].speaker SPEAKER_27
transcript.pyannote[948].start 7079.73471875
transcript.pyannote[948].end 7083.02534375
transcript.pyannote[949].speaker SPEAKER_08
transcript.pyannote[949].start 7086.11346875
transcript.pyannote[949].end 7092.50909375
transcript.pyannote[950].speaker SPEAKER_08
transcript.pyannote[950].start 7100.50784375
transcript.pyannote[950].end 7100.89596875
transcript.pyannote[951].speaker SPEAKER_08
transcript.pyannote[951].start 7101.36846875
transcript.pyannote[951].end 7105.43534375
transcript.pyannote[952].speaker SPEAKER_29
transcript.pyannote[952].start 7101.60471875
transcript.pyannote[952].end 7102.09409375
transcript.pyannote[953].speaker SPEAKER_29
transcript.pyannote[953].start 7102.22909375
transcript.pyannote[953].end 7102.26284375
transcript.pyannote[954].speaker SPEAKER_29
transcript.pyannote[954].start 7102.41471875
transcript.pyannote[954].end 7102.49909375
transcript.pyannote[955].speaker SPEAKER_08
transcript.pyannote[955].start 7105.84034375
transcript.pyannote[955].end 7107.46034375
transcript.pyannote[956].speaker SPEAKER_08
transcript.pyannote[956].start 7108.05096875
transcript.pyannote[956].end 7109.02971875
transcript.pyannote[957].speaker SPEAKER_08
transcript.pyannote[957].start 7109.68784375
transcript.pyannote[957].end 7112.20221875
transcript.pyannote[958].speaker SPEAKER_08
transcript.pyannote[958].start 7113.11346875
transcript.pyannote[958].end 7116.21846875
transcript.pyannote[959].speaker SPEAKER_07
transcript.pyannote[959].start 7115.56034375
transcript.pyannote[959].end 7115.86409375
transcript.pyannote[960].speaker SPEAKER_08
transcript.pyannote[960].start 7116.65721875
transcript.pyannote[960].end 7118.02409375
transcript.pyannote[961].speaker SPEAKER_08
transcript.pyannote[961].start 7118.86784375
transcript.pyannote[961].end 7119.99846875
transcript.pyannote[962].speaker SPEAKER_08
transcript.pyannote[962].start 7120.26846875
transcript.pyannote[962].end 7122.93471875
transcript.pyannote[963].speaker SPEAKER_29
transcript.pyannote[963].start 7122.20909375
transcript.pyannote[963].end 7122.71534375
transcript.pyannote[964].speaker SPEAKER_29
transcript.pyannote[964].start 7122.93471875
transcript.pyannote[964].end 7125.34784375
transcript.pyannote[965].speaker SPEAKER_29
transcript.pyannote[965].start 7125.71909375
transcript.pyannote[965].end 7129.02659375
transcript.pyannote[966].speaker SPEAKER_29
transcript.pyannote[966].start 7129.68471875
transcript.pyannote[966].end 7133.95409375
transcript.pyannote[967].speaker SPEAKER_08
transcript.pyannote[967].start 7129.81971875
transcript.pyannote[967].end 7130.02221875
transcript.pyannote[968].speaker SPEAKER_08
transcript.pyannote[968].start 7133.65034375
transcript.pyannote[968].end 7136.82284375
transcript.pyannote[969].speaker SPEAKER_08
transcript.pyannote[969].start 7137.17721875
transcript.pyannote[969].end 7138.15596875
transcript.pyannote[970].speaker SPEAKER_08
transcript.pyannote[970].start 7138.49346875
transcript.pyannote[970].end 7147.09971875
transcript.pyannote[971].speaker SPEAKER_08
transcript.pyannote[971].start 7147.84221875
transcript.pyannote[971].end 7156.19534375
transcript.pyannote[972].speaker SPEAKER_08
transcript.pyannote[972].start 7156.73534375
transcript.pyannote[972].end 7161.69659375
transcript.pyannote[973].speaker SPEAKER_29
transcript.pyannote[973].start 7161.69659375
transcript.pyannote[973].end 7161.84846875
transcript.pyannote[974].speaker SPEAKER_08
transcript.pyannote[974].start 7161.84846875
transcript.pyannote[974].end 7183.00971875
transcript.pyannote[975].speaker SPEAKER_08
transcript.pyannote[975].start 7183.66784375
transcript.pyannote[975].end 7184.76471875
transcript.pyannote[976].speaker SPEAKER_08
transcript.pyannote[976].start 7185.69284375
transcript.pyannote[976].end 7187.70096875
transcript.pyannote[977].speaker SPEAKER_08
transcript.pyannote[977].start 7188.40971875
transcript.pyannote[977].end 7190.62034375
transcript.pyannote[978].speaker SPEAKER_08
transcript.pyannote[978].start 7191.22784375
transcript.pyannote[978].end 7192.86471875
transcript.pyannote[979].speaker SPEAKER_38
transcript.pyannote[979].start 7192.86471875
transcript.pyannote[979].end 7192.98284375
transcript.pyannote[980].speaker SPEAKER_08
transcript.pyannote[980].start 7192.98284375
transcript.pyannote[980].end 7192.99971875
transcript.pyannote[981].speaker SPEAKER_38
transcript.pyannote[981].start 7192.99971875
transcript.pyannote[981].end 7193.03346875
transcript.pyannote[982].speaker SPEAKER_08
transcript.pyannote[982].start 7194.31596875
transcript.pyannote[982].end 7194.95721875
transcript.pyannote[983].speaker SPEAKER_19
transcript.pyannote[983].start 7195.90221875
transcript.pyannote[983].end 7213.41846875
transcript.pyannote[984].speaker SPEAKER_08
transcript.pyannote[984].start 7213.78971875
transcript.pyannote[984].end 7215.83159375
transcript.pyannote[985].speaker SPEAKER_08
transcript.pyannote[985].start 7216.35471875
transcript.pyannote[985].end 7217.02971875
transcript.pyannote[986].speaker SPEAKER_08
transcript.pyannote[986].start 7217.65409375
transcript.pyannote[986].end 7221.63659375
transcript.pyannote[987].speaker SPEAKER_08
transcript.pyannote[987].start 7222.10909375
transcript.pyannote[987].end 7224.89346875
transcript.pyannote[988].speaker SPEAKER_08
transcript.pyannote[988].start 7225.23096875
transcript.pyannote[988].end 7227.32346875
transcript.pyannote[989].speaker SPEAKER_38
transcript.pyannote[989].start 7228.21784375
transcript.pyannote[989].end 7228.50471875
transcript.pyannote[990].speaker SPEAKER_08
transcript.pyannote[990].start 7228.74096875
transcript.pyannote[990].end 7233.44909375
transcript.pyannote[991].speaker SPEAKER_08
transcript.pyannote[991].start 7233.68534375
transcript.pyannote[991].end 7237.56659375
transcript.pyannote[992].speaker SPEAKER_29
transcript.pyannote[992].start 7237.51596875
transcript.pyannote[992].end 7238.27534375
transcript.pyannote[993].speaker SPEAKER_08
transcript.pyannote[993].start 7238.17409375
transcript.pyannote[993].end 7240.62096875
transcript.pyannote[994].speaker SPEAKER_08
transcript.pyannote[994].start 7241.58284375
transcript.pyannote[994].end 7252.77096875
transcript.pyannote[995].speaker SPEAKER_08
transcript.pyannote[995].start 7253.09159375
transcript.pyannote[995].end 7256.09534375
transcript.pyannote[996].speaker SPEAKER_08
transcript.pyannote[996].start 7256.58471875
transcript.pyannote[996].end 7261.02284375
transcript.pyannote[997].speaker SPEAKER_08
transcript.pyannote[997].start 7261.49534375
transcript.pyannote[997].end 7285.91346875
transcript.pyannote[998].speaker SPEAKER_29
transcript.pyannote[998].start 7267.28346875
transcript.pyannote[998].end 7267.84034375
transcript.pyannote[999].speaker SPEAKER_29
transcript.pyannote[999].start 7270.97909375
transcript.pyannote[999].end 7271.28284375
transcript.pyannote[1000].speaker SPEAKER_29
transcript.pyannote[1000].start 7272.10971875
transcript.pyannote[1000].end 7274.06721875
transcript.pyannote[1001].speaker SPEAKER_08
transcript.pyannote[1001].start 7286.85846875
transcript.pyannote[1001].end 7290.68909375
transcript.pyannote[1002].speaker SPEAKER_08
transcript.pyannote[1002].start 7291.31346875
transcript.pyannote[1002].end 7294.08096875
transcript.pyannote[1003].speaker SPEAKER_08
transcript.pyannote[1003].start 7294.78971875
transcript.pyannote[1003].end 7300.22346875
transcript.pyannote[1004].speaker SPEAKER_08
transcript.pyannote[1004].start 7300.27409375
transcript.pyannote[1004].end 7310.73659375
transcript.pyannote[1005].speaker SPEAKER_08
transcript.pyannote[1005].start 7311.31034375
transcript.pyannote[1005].end 7314.31409375
transcript.pyannote[1006].speaker SPEAKER_29
transcript.pyannote[1006].start 7314.56721875
transcript.pyannote[1006].end 7316.57534375
transcript.pyannote[1007].speaker SPEAKER_08
transcript.pyannote[1007].start 7317.13221875
transcript.pyannote[1007].end 7318.33034375
transcript.pyannote[1008].speaker SPEAKER_08
transcript.pyannote[1008].start 7318.53284375
transcript.pyannote[1008].end 7319.03909375
transcript.pyannote[1009].speaker SPEAKER_08
transcript.pyannote[1009].start 7319.89971875
transcript.pyannote[1009].end 7321.13159375
transcript.pyannote[1010].speaker SPEAKER_08
transcript.pyannote[1010].start 7321.80659375
transcript.pyannote[1010].end 7323.54471875
transcript.pyannote[1011].speaker SPEAKER_08
transcript.pyannote[1011].start 7324.52346875
transcript.pyannote[1011].end 7325.28284375
transcript.pyannote[1012].speaker SPEAKER_08
transcript.pyannote[1012].start 7325.82284375
transcript.pyannote[1012].end 7326.36284375
transcript.pyannote[1013].speaker SPEAKER_08
transcript.pyannote[1013].start 7327.03784375
transcript.pyannote[1013].end 7331.17221875
transcript.pyannote[1014].speaker SPEAKER_08
transcript.pyannote[1014].start 7331.66159375
transcript.pyannote[1014].end 7336.15034375
transcript.pyannote[1015].speaker SPEAKER_08
transcript.pyannote[1015].start 7336.36971875
transcript.pyannote[1015].end 7338.17534375
transcript.pyannote[1016].speaker SPEAKER_08
transcript.pyannote[1016].start 7338.96846875
transcript.pyannote[1016].end 7339.94721875
transcript.pyannote[1017].speaker SPEAKER_08
transcript.pyannote[1017].start 7341.06096875
transcript.pyannote[1017].end 7343.27159375
transcript.pyannote[1018].speaker SPEAKER_08
transcript.pyannote[1018].start 7344.18284375
transcript.pyannote[1018].end 7347.64221875
transcript.pyannote[1019].speaker SPEAKER_08
transcript.pyannote[1019].start 7348.36784375
transcript.pyannote[1019].end 7349.27909375
transcript.pyannote[1020].speaker SPEAKER_08
transcript.pyannote[1020].start 7349.71784375
transcript.pyannote[1020].end 7355.23596875
transcript.pyannote[1021].speaker SPEAKER_08
transcript.pyannote[1021].start 7355.65784375
transcript.pyannote[1021].end 7360.01159375
transcript.pyannote[1022].speaker SPEAKER_08
transcript.pyannote[1022].start 7360.45034375
transcript.pyannote[1022].end 7362.00284375
transcript.pyannote[1023].speaker SPEAKER_08
transcript.pyannote[1023].start 7362.47534375
transcript.pyannote[1023].end 7364.90534375
transcript.pyannote[1024].speaker SPEAKER_08
transcript.pyannote[1024].start 7365.64784375
transcript.pyannote[1024].end 7367.57159375
transcript.pyannote[1025].speaker SPEAKER_08
transcript.pyannote[1025].start 7368.43221875
transcript.pyannote[1025].end 7368.76971875
transcript.pyannote[1026].speaker SPEAKER_08
transcript.pyannote[1026].start 7369.27596875
transcript.pyannote[1026].end 7370.15346875
transcript.pyannote[1027].speaker SPEAKER_08
transcript.pyannote[1027].start 7370.67659375
transcript.pyannote[1027].end 7374.03471875
transcript.pyannote[1028].speaker SPEAKER_08
transcript.pyannote[1028].start 7374.77721875
transcript.pyannote[1028].end 7374.79409375
transcript.pyannote[1029].speaker SPEAKER_08
transcript.pyannote[1029].start 7375.63784375
transcript.pyannote[1029].end 7378.28721875
transcript.pyannote[1030].speaker SPEAKER_08
transcript.pyannote[1030].start 7378.96221875
transcript.pyannote[1030].end 7381.20659375
transcript.pyannote[1031].speaker SPEAKER_08
transcript.pyannote[1031].start 7381.52721875
transcript.pyannote[1031].end 7382.23596875
transcript.pyannote[1032].speaker SPEAKER_08
transcript.pyannote[1032].start 7383.16409375
transcript.pyannote[1032].end 7385.91471875
transcript.pyannote[1033].speaker SPEAKER_08
transcript.pyannote[1033].start 7385.96534375
transcript.pyannote[1033].end 7385.99909375
transcript.pyannote[1034].speaker SPEAKER_08
transcript.pyannote[1034].start 7386.43784375
transcript.pyannote[1034].end 7398.73971875
transcript.pyannote[1035].speaker SPEAKER_08
transcript.pyannote[1035].start 7398.95909375
transcript.pyannote[1035].end 7400.02221875
transcript.pyannote[1036].speaker SPEAKER_08
transcript.pyannote[1036].start 7400.76471875
transcript.pyannote[1036].end 7404.46034375
transcript.pyannote[1037].speaker SPEAKER_08
transcript.pyannote[1037].start 7404.78096875
transcript.pyannote[1037].end 7413.38721875
transcript.pyannote[1038].speaker SPEAKER_08
transcript.pyannote[1038].start 7413.72471875
transcript.pyannote[1038].end 7416.34034375
transcript.pyannote[1039].speaker SPEAKER_08
transcript.pyannote[1039].start 7416.42471875
transcript.pyannote[1039].end 7424.96346875
transcript.pyannote[1040].speaker SPEAKER_08
transcript.pyannote[1040].start 7425.38534375
transcript.pyannote[1040].end 7426.73534375
transcript.pyannote[1041].speaker SPEAKER_08
transcript.pyannote[1041].start 7427.24159375
transcript.pyannote[1041].end 7436.38784375
transcript.pyannote[1042].speaker SPEAKER_38
transcript.pyannote[1042].start 7436.35409375
transcript.pyannote[1042].end 7436.70846875
transcript.pyannote[1043].speaker SPEAKER_08
transcript.pyannote[1043].start 7436.53971875
transcript.pyannote[1043].end 7440.13409375
transcript.pyannote[1044].speaker SPEAKER_08
transcript.pyannote[1044].start 7440.52221875
transcript.pyannote[1044].end 7442.53034375
transcript.pyannote[1045].speaker SPEAKER_08
transcript.pyannote[1045].start 7443.18846875
transcript.pyannote[1045].end 7445.06159375
transcript.pyannote[1046].speaker SPEAKER_08
transcript.pyannote[1046].start 7445.21346875
transcript.pyannote[1046].end 7445.29784375
transcript.pyannote[1047].speaker SPEAKER_29
transcript.pyannote[1047].start 7445.29784375
transcript.pyannote[1047].end 7446.61409375
transcript.pyannote[1048].speaker SPEAKER_08
transcript.pyannote[1048].start 7445.43284375
transcript.pyannote[1048].end 7445.51721875
transcript.pyannote[1049].speaker SPEAKER_08
transcript.pyannote[1049].start 7446.61409375
transcript.pyannote[1049].end 7446.63096875
transcript.pyannote[1050].speaker SPEAKER_29
transcript.pyannote[1050].start 7446.63096875
transcript.pyannote[1050].end 7446.64784375
transcript.pyannote[1051].speaker SPEAKER_08
transcript.pyannote[1051].start 7446.64784375
transcript.pyannote[1051].end 7447.77846875
transcript.pyannote[1052].speaker SPEAKER_08
transcript.pyannote[1052].start 7448.36909375
transcript.pyannote[1052].end 7450.05659375
transcript.pyannote[1053].speaker SPEAKER_08
transcript.pyannote[1053].start 7450.71471875
transcript.pyannote[1053].end 7451.15346875
transcript.pyannote[1054].speaker SPEAKER_08
transcript.pyannote[1054].start 7451.50784375
transcript.pyannote[1054].end 7458.40971875
transcript.pyannote[1055].speaker SPEAKER_08
transcript.pyannote[1055].start 7458.54471875
transcript.pyannote[1055].end 7461.59909375
transcript.pyannote[1056].speaker SPEAKER_08
transcript.pyannote[1056].start 7462.13909375
transcript.pyannote[1056].end 7463.37096875
transcript.pyannote[1057].speaker SPEAKER_08
transcript.pyannote[1057].start 7464.53534375
transcript.pyannote[1057].end 7465.02471875
transcript.pyannote[1058].speaker SPEAKER_08
transcript.pyannote[1058].start 7465.96971875
transcript.pyannote[1058].end 7467.65721875
transcript.pyannote[1059].speaker SPEAKER_08
transcript.pyannote[1059].start 7468.65284375
transcript.pyannote[1059].end 7469.36159375
transcript.pyannote[1060].speaker SPEAKER_08
transcript.pyannote[1060].start 7469.98596875
transcript.pyannote[1060].end 7471.38659375
transcript.pyannote[1061].speaker SPEAKER_08
transcript.pyannote[1061].start 7472.53409375
transcript.pyannote[1061].end 7473.90096875
transcript.pyannote[1062].speaker SPEAKER_08
transcript.pyannote[1062].start 7474.66034375
transcript.pyannote[1062].end 7476.26346875
transcript.pyannote[1063].speaker SPEAKER_08
transcript.pyannote[1063].start 7477.00596875
transcript.pyannote[1063].end 7480.58346875
transcript.pyannote[1064].speaker SPEAKER_08
transcript.pyannote[1064].start 7481.32596875
transcript.pyannote[1064].end 7481.88284375
transcript.pyannote[1065].speaker SPEAKER_08
transcript.pyannote[1065].start 7482.55784375
transcript.pyannote[1065].end 7484.02596875
transcript.pyannote[1066].speaker SPEAKER_08
transcript.pyannote[1066].start 7484.26221875
transcript.pyannote[1066].end 7487.53596875
transcript.pyannote[1067].speaker SPEAKER_08
transcript.pyannote[1067].start 7487.90721875
transcript.pyannote[1067].end 7488.88596875
transcript.pyannote[1068].speaker SPEAKER_08
transcript.pyannote[1068].start 7489.64534375
transcript.pyannote[1068].end 7493.03721875
transcript.pyannote[1069].speaker SPEAKER_08
transcript.pyannote[1069].start 7493.94846875
transcript.pyannote[1069].end 7494.77534375
transcript.pyannote[1070].speaker SPEAKER_08
transcript.pyannote[1070].start 7495.51784375
transcript.pyannote[1070].end 7497.54284375
transcript.pyannote[1071].speaker SPEAKER_08
transcript.pyannote[1071].start 7497.94784375
transcript.pyannote[1071].end 7501.15409375
transcript.pyannote[1072].speaker SPEAKER_08
transcript.pyannote[1072].start 7502.35221875
transcript.pyannote[1072].end 7508.14034375
transcript.pyannote[1073].speaker SPEAKER_08
transcript.pyannote[1073].start 7508.95034375
transcript.pyannote[1073].end 7509.89534375
transcript.pyannote[1074].speaker SPEAKER_08
transcript.pyannote[1074].start 7510.23284375
transcript.pyannote[1074].end 7514.41784375
transcript.pyannote[1075].speaker SPEAKER_08
transcript.pyannote[1075].start 7514.85659375
transcript.pyannote[1075].end 7515.85221875
transcript.pyannote[1076].speaker SPEAKER_08
transcript.pyannote[1076].start 7516.35846875
transcript.pyannote[1076].end 7517.97846875
transcript.pyannote[1077].speaker SPEAKER_08
transcript.pyannote[1077].start 7518.97409375
transcript.pyannote[1077].end 7520.10471875
transcript.pyannote[1078].speaker SPEAKER_29
transcript.pyannote[1078].start 7521.57284375
transcript.pyannote[1078].end 7521.75846875
transcript.pyannote[1079].speaker SPEAKER_08
transcript.pyannote[1079].start 7521.75846875
transcript.pyannote[1079].end 7523.81721875
transcript.pyannote[1080].speaker SPEAKER_29
transcript.pyannote[1080].start 7521.77534375
transcript.pyannote[1080].end 7522.23096875
transcript.pyannote[1081].speaker SPEAKER_29
transcript.pyannote[1081].start 7522.99034375
transcript.pyannote[1081].end 7537.41846875
transcript.pyannote[1082].speaker SPEAKER_29
transcript.pyannote[1082].start 7538.14409375
transcript.pyannote[1082].end 7550.68221875
transcript.pyannote[1083].speaker SPEAKER_08
transcript.pyannote[1083].start 7550.86784375
transcript.pyannote[1083].end 7552.65659375
transcript.pyannote[1084].speaker SPEAKER_29
transcript.pyannote[1084].start 7550.90159375
transcript.pyannote[1084].end 7551.28971875
transcript.pyannote[1085].speaker SPEAKER_08
transcript.pyannote[1085].start 7553.58471875
transcript.pyannote[1085].end 7569.43034375
transcript.pyannote[1086].speaker SPEAKER_08
transcript.pyannote[1086].start 7570.02096875
transcript.pyannote[1086].end 7575.92721875
transcript.pyannote[1087].speaker SPEAKER_08
transcript.pyannote[1087].start 7576.53471875
transcript.pyannote[1087].end 7579.90971875
transcript.pyannote[1088].speaker SPEAKER_08
transcript.pyannote[1088].start 7581.68159375
transcript.pyannote[1088].end 7583.89221875
transcript.pyannote[1089].speaker SPEAKER_08
transcript.pyannote[1089].start 7584.34784375
transcript.pyannote[1089].end 7585.10721875
transcript.pyannote[1090].speaker SPEAKER_08
transcript.pyannote[1090].start 7586.45721875
transcript.pyannote[1090].end 7592.05971875
transcript.pyannote[1091].speaker SPEAKER_29
transcript.pyannote[1091].start 7592.05971875
transcript.pyannote[1091].end 7592.07659375
transcript.pyannote[1092].speaker SPEAKER_38
transcript.pyannote[1092].start 7592.07659375
transcript.pyannote[1092].end 7592.36346875
transcript.pyannote[1093].speaker SPEAKER_08
transcript.pyannote[1093].start 7592.36346875
transcript.pyannote[1093].end 7599.01221875
transcript.pyannote[1094].speaker SPEAKER_08
transcript.pyannote[1094].start 7599.31596875
transcript.pyannote[1094].end 7600.56471875
transcript.pyannote[1095].speaker SPEAKER_08
transcript.pyannote[1095].start 7601.52659375
transcript.pyannote[1095].end 7602.94409375
transcript.pyannote[1096].speaker SPEAKER_08
transcript.pyannote[1096].start 7603.16346875
transcript.pyannote[1096].end 7604.98596875
transcript.pyannote[1097].speaker SPEAKER_08
transcript.pyannote[1097].start 7605.52596875
transcript.pyannote[1097].end 7606.43721875
transcript.pyannote[1098].speaker SPEAKER_08
transcript.pyannote[1098].start 7607.09534375
transcript.pyannote[1098].end 7610.25096875
transcript.pyannote[1099].speaker SPEAKER_08
transcript.pyannote[1099].start 7610.99346875
transcript.pyannote[1099].end 7611.68534375
transcript.pyannote[1100].speaker SPEAKER_08
transcript.pyannote[1100].start 7612.74846875
transcript.pyannote[1100].end 7613.32221875
transcript.pyannote[1101].speaker SPEAKER_08
transcript.pyannote[1101].start 7613.91284375
transcript.pyannote[1101].end 7622.50221875
transcript.pyannote[1102].speaker SPEAKER_08
transcript.pyannote[1102].start 7622.77221875
transcript.pyannote[1102].end 7626.13034375
transcript.pyannote[1103].speaker SPEAKER_08
transcript.pyannote[1103].start 7626.46784375
transcript.pyannote[1103].end 7627.32846875
transcript.pyannote[1104].speaker SPEAKER_08
transcript.pyannote[1104].start 7628.29034375
transcript.pyannote[1104].end 7628.62784375
transcript.pyannote[1105].speaker SPEAKER_08
transcript.pyannote[1105].start 7629.06659375
transcript.pyannote[1105].end 7629.45471875
transcript.pyannote[1106].speaker SPEAKER_08
transcript.pyannote[1106].start 7630.06221875
transcript.pyannote[1106].end 7631.05784375
transcript.pyannote[1107].speaker SPEAKER_08
transcript.pyannote[1107].start 7632.05346875
transcript.pyannote[1107].end 7635.73221875
transcript.pyannote[1108].speaker SPEAKER_08
transcript.pyannote[1108].start 7636.18784375
transcript.pyannote[1108].end 7641.04784375
transcript.pyannote[1109].speaker SPEAKER_08
transcript.pyannote[1109].start 7641.75659375
transcript.pyannote[1109].end 7645.58721875
transcript.pyannote[1110].speaker SPEAKER_08
transcript.pyannote[1110].start 7646.14409375
transcript.pyannote[1110].end 7653.46784375
transcript.pyannote[1111].speaker SPEAKER_08
transcript.pyannote[1111].start 7655.02034375
transcript.pyannote[1111].end 7659.00284375
transcript.pyannote[1112].speaker SPEAKER_08
transcript.pyannote[1112].start 7659.94784375
transcript.pyannote[1112].end 7661.92221875
transcript.pyannote[1113].speaker SPEAKER_29
transcript.pyannote[1113].start 7662.56346875
transcript.pyannote[1113].end 7662.85034375
transcript.pyannote[1114].speaker SPEAKER_29
transcript.pyannote[1114].start 7663.57596875
transcript.pyannote[1114].end 7664.09909375
transcript.pyannote[1115].speaker SPEAKER_01
transcript.pyannote[1115].start 7664.09909375
transcript.pyannote[1115].end 7664.11596875
transcript.pyannote[1116].speaker SPEAKER_29
transcript.pyannote[1116].start 7664.11596875
transcript.pyannote[1116].end 7664.14971875
transcript.pyannote[1117].speaker SPEAKER_01
transcript.pyannote[1117].start 7664.14971875
transcript.pyannote[1117].end 7664.21721875
transcript.pyannote[1118].speaker SPEAKER_29
transcript.pyannote[1118].start 7664.21721875
transcript.pyannote[1118].end 7664.23409375
transcript.pyannote[1119].speaker SPEAKER_01
transcript.pyannote[1119].start 7664.68971875
transcript.pyannote[1119].end 7670.61284375
transcript.pyannote[1120].speaker SPEAKER_08
transcript.pyannote[1120].start 7671.11909375
transcript.pyannote[1120].end 7673.04284375
transcript.pyannote[1121].speaker SPEAKER_08
transcript.pyannote[1121].start 7673.36346875
transcript.pyannote[1121].end 7674.29159375
transcript.pyannote[1122].speaker SPEAKER_08
transcript.pyannote[1122].start 7675.60784375
transcript.pyannote[1122].end 7677.02534375
transcript.pyannote[1123].speaker SPEAKER_08
transcript.pyannote[1123].start 7677.95346875
transcript.pyannote[1123].end 7679.01659375
transcript.pyannote[1124].speaker SPEAKER_08
transcript.pyannote[1124].start 7680.23159375
transcript.pyannote[1124].end 7680.67034375
transcript.pyannote[1125].speaker SPEAKER_08
transcript.pyannote[1125].start 7680.87284375
transcript.pyannote[1125].end 7683.82596875
transcript.pyannote[1126].speaker SPEAKER_08
transcript.pyannote[1126].start 7683.92721875
transcript.pyannote[1126].end 7684.51784375
transcript.pyannote[1127].speaker SPEAKER_08
transcript.pyannote[1127].start 7684.97346875
transcript.pyannote[1127].end 7688.02784375
transcript.pyannote[1128].speaker SPEAKER_08
transcript.pyannote[1128].start 7688.12909375
transcript.pyannote[1128].end 7688.39909375
transcript.pyannote[1129].speaker SPEAKER_08
transcript.pyannote[1129].start 7688.63534375
transcript.pyannote[1129].end 7689.78284375
transcript.pyannote[1130].speaker SPEAKER_08
transcript.pyannote[1130].start 7690.55909375
transcript.pyannote[1130].end 7695.04784375
transcript.pyannote[1131].speaker SPEAKER_08
transcript.pyannote[1131].start 7695.30096875
transcript.pyannote[1131].end 7696.53284375
transcript.pyannote[1132].speaker SPEAKER_08
transcript.pyannote[1132].start 7697.08971875
transcript.pyannote[1132].end 7697.49471875
transcript.pyannote[1133].speaker SPEAKER_08
transcript.pyannote[1133].start 7698.38909375
transcript.pyannote[1133].end 7698.86159375
transcript.pyannote[1134].speaker SPEAKER_08
transcript.pyannote[1134].start 7699.14846875
transcript.pyannote[1134].end 7700.53221875
transcript.pyannote[1135].speaker SPEAKER_08
transcript.pyannote[1135].start 7700.54909375
transcript.pyannote[1135].end 7701.57846875
transcript.pyannote[1136].speaker SPEAKER_08
transcript.pyannote[1136].start 7702.55721875
transcript.pyannote[1136].end 7707.24846875
transcript.pyannote[1137].speaker SPEAKER_08
transcript.pyannote[1137].start 7707.68721875
transcript.pyannote[1137].end 7711.39971875
transcript.pyannote[1138].speaker SPEAKER_08
transcript.pyannote[1138].start 7711.58534375
transcript.pyannote[1138].end 7715.56784375
transcript.pyannote[1139].speaker SPEAKER_08
transcript.pyannote[1139].start 7715.85471875
transcript.pyannote[1139].end 7718.08221875
transcript.pyannote[1140].speaker SPEAKER_08
transcript.pyannote[1140].start 7718.52096875
transcript.pyannote[1140].end 7720.42784375
transcript.pyannote[1141].speaker SPEAKER_08
transcript.pyannote[1141].start 7720.81596875
transcript.pyannote[1141].end 7729.38846875
transcript.pyannote[1142].speaker SPEAKER_29
transcript.pyannote[1142].start 7729.38846875
transcript.pyannote[1142].end 7731.14346875
transcript.pyannote[1143].speaker SPEAKER_08
transcript.pyannote[1143].start 7730.82284375
transcript.pyannote[1143].end 7736.18909375
transcript.pyannote[1144].speaker SPEAKER_08
transcript.pyannote[1144].start 7736.56034375
transcript.pyannote[1144].end 7743.34409375
transcript.pyannote[1145].speaker SPEAKER_08
transcript.pyannote[1145].start 7743.71534375
transcript.pyannote[1145].end 7751.84909375
transcript.pyannote[1146].speaker SPEAKER_08
transcript.pyannote[1146].start 7752.60846875
transcript.pyannote[1146].end 7753.38471875
transcript.pyannote[1147].speaker SPEAKER_29
transcript.pyannote[1147].start 7753.55346875
transcript.pyannote[1147].end 7754.11034375
transcript.pyannote[1148].speaker SPEAKER_08
transcript.pyannote[1148].start 7754.11034375
transcript.pyannote[1148].end 7755.84846875
transcript.pyannote[1149].speaker SPEAKER_29
transcript.pyannote[1149].start 7756.18596875
transcript.pyannote[1149].end 7757.19846875
transcript.pyannote[1150].speaker SPEAKER_08
transcript.pyannote[1150].start 7757.29971875
transcript.pyannote[1150].end 7757.63721875
transcript.pyannote[1151].speaker SPEAKER_29
transcript.pyannote[1151].start 7758.54846875
transcript.pyannote[1151].end 7760.62409375
transcript.pyannote[1152].speaker SPEAKER_08
transcript.pyannote[1152].start 7760.96159375
transcript.pyannote[1152].end 7761.72096875
transcript.pyannote[1153].speaker SPEAKER_29
transcript.pyannote[1153].start 7761.72096875
transcript.pyannote[1153].end 7763.08784375
transcript.pyannote[1154].speaker SPEAKER_08
transcript.pyannote[1154].start 7762.48034375
transcript.pyannote[1154].end 7776.06471875
transcript.pyannote[1155].speaker SPEAKER_08
transcript.pyannote[1155].start 7776.85784375
transcript.pyannote[1155].end 7782.84846875
transcript.pyannote[1156].speaker SPEAKER_08
transcript.pyannote[1156].start 7783.10159375
transcript.pyannote[1156].end 7784.33346875
transcript.pyannote[1157].speaker SPEAKER_08
transcript.pyannote[1157].start 7785.19409375
transcript.pyannote[1157].end 7797.56346875
transcript.pyannote[1158].speaker SPEAKER_08
transcript.pyannote[1158].start 7798.08659375
transcript.pyannote[1158].end 7800.34784375
transcript.pyannote[1159].speaker SPEAKER_08
transcript.pyannote[1159].start 7800.61784375
transcript.pyannote[1159].end 7804.34721875
transcript.pyannote[1160].speaker SPEAKER_08
transcript.pyannote[1160].start 7804.60034375
transcript.pyannote[1160].end 7806.20346875
transcript.pyannote[1161].speaker SPEAKER_08
transcript.pyannote[1161].start 7806.72659375
transcript.pyannote[1161].end 7811.13096875
transcript.pyannote[1162].speaker SPEAKER_29
transcript.pyannote[1162].start 7811.23221875
transcript.pyannote[1162].end 7817.03721875
transcript.pyannote[1163].speaker SPEAKER_08
transcript.pyannote[1163].start 7814.84346875
transcript.pyannote[1163].end 7815.23159375
transcript.pyannote[1164].speaker SPEAKER_29
transcript.pyannote[1164].start 7817.79659375
transcript.pyannote[1164].end 7875.08721875
transcript.pyannote[1165].speaker SPEAKER_08
transcript.pyannote[1165].start 7875.89721875
transcript.pyannote[1165].end 7891.67534375
transcript.pyannote[1166].speaker SPEAKER_08
transcript.pyannote[1166].start 7892.06346875
transcript.pyannote[1166].end 7894.22346875
transcript.pyannote[1167].speaker SPEAKER_08
transcript.pyannote[1167].start 7894.39221875
transcript.pyannote[1167].end 7906.82909375
transcript.pyannote[1168].speaker SPEAKER_08
transcript.pyannote[1168].start 7907.62221875
transcript.pyannote[1168].end 7907.97659375
transcript.pyannote[1169].speaker SPEAKER_08
transcript.pyannote[1169].start 7908.55034375
transcript.pyannote[1169].end 7909.93409375
transcript.pyannote[1170].speaker SPEAKER_29
transcript.pyannote[1170].start 7910.38971875
transcript.pyannote[1170].end 7935.29721875
transcript.pyannote[1171].speaker SPEAKER_27
transcript.pyannote[1171].start 7931.82096875
transcript.pyannote[1171].end 7932.19221875
transcript.pyannote[1172].speaker SPEAKER_29
transcript.pyannote[1172].start 7935.61784375
transcript.pyannote[1172].end 7938.58784375
transcript.pyannote[1173].speaker SPEAKER_29
transcript.pyannote[1173].start 7938.90846875
transcript.pyannote[1173].end 7942.60409375
transcript.pyannote[1174].speaker SPEAKER_08
transcript.pyannote[1174].start 7942.48596875
transcript.pyannote[1174].end 7946.45159375
transcript.pyannote[1175].speaker SPEAKER_08
transcript.pyannote[1175].start 7947.70034375
transcript.pyannote[1175].end 7954.68659375
transcript.pyannote[1176].speaker SPEAKER_08
transcript.pyannote[1176].start 7955.42909375
transcript.pyannote[1176].end 7958.02784375
transcript.pyannote[1177].speaker SPEAKER_08
transcript.pyannote[1177].start 7958.61846875
transcript.pyannote[1177].end 7961.48721875
transcript.pyannote[1178].speaker SPEAKER_08
transcript.pyannote[1178].start 7961.74034375
transcript.pyannote[1178].end 7964.00159375
transcript.pyannote[1179].speaker SPEAKER_08
transcript.pyannote[1179].start 7964.57534375
transcript.pyannote[1179].end 7970.71784375
transcript.pyannote[1180].speaker SPEAKER_08
transcript.pyannote[1180].start 7971.17346875
transcript.pyannote[1180].end 7983.69471875
transcript.pyannote[1181].speaker SPEAKER_08
transcript.pyannote[1181].start 7983.88034375
transcript.pyannote[1181].end 7991.77784375
transcript.pyannote[1182].speaker SPEAKER_08
transcript.pyannote[1182].start 7991.96346875
transcript.pyannote[1182].end 8012.82096875
transcript.pyannote[1183].speaker SPEAKER_08
transcript.pyannote[1183].start 8013.44534375
transcript.pyannote[1183].end 8014.45784375
transcript.pyannote[1184].speaker SPEAKER_08
transcript.pyannote[1184].start 8015.63909375
transcript.pyannote[1184].end 8017.34346875
transcript.pyannote[1185].speaker SPEAKER_29
transcript.pyannote[1185].start 8017.03971875
transcript.pyannote[1185].end 8028.78471875
transcript.pyannote[1186].speaker SPEAKER_29
transcript.pyannote[1186].start 8029.10534375
transcript.pyannote[1186].end 8030.91096875
transcript.pyannote[1187].speaker SPEAKER_29
transcript.pyannote[1187].start 8031.51846875
transcript.pyannote[1187].end 8034.15096875
transcript.pyannote[1188].speaker SPEAKER_08
transcript.pyannote[1188].start 8034.31971875
transcript.pyannote[1188].end 8034.77534375
transcript.pyannote[1189].speaker SPEAKER_08
transcript.pyannote[1189].start 8034.82596875
transcript.pyannote[1189].end 8035.87221875
transcript.pyannote[1190].speaker SPEAKER_29
transcript.pyannote[1190].start 8036.04096875
transcript.pyannote[1190].end 8037.00284375
transcript.pyannote[1191].speaker SPEAKER_27
transcript.pyannote[1191].start 8038.18409375
transcript.pyannote[1191].end 8040.27659375
transcript.pyannote[1192].speaker SPEAKER_27
transcript.pyannote[1192].start 8040.42846875
transcript.pyannote[1192].end 8041.91346875
transcript.pyannote[1193].speaker SPEAKER_27
transcript.pyannote[1193].start 8046.73971875
transcript.pyannote[1193].end 8048.08971875
transcript.pyannote[1194].speaker SPEAKER_27
transcript.pyannote[1194].start 8048.25846875
transcript.pyannote[1194].end 8048.57909375
transcript.pyannote[1195].speaker SPEAKER_27
transcript.pyannote[1195].start 8050.65471875
transcript.pyannote[1195].end 8051.39721875
transcript.pyannote[1196].speaker SPEAKER_08
transcript.pyannote[1196].start 8053.64159375
transcript.pyannote[1196].end 8055.02534375
transcript.pyannote[1197].speaker SPEAKER_08
transcript.pyannote[1197].start 8061.69096875
transcript.pyannote[1197].end 8062.99034375
transcript.pyannote[1198].speaker SPEAKER_08
transcript.pyannote[1198].start 8063.36159375
transcript.pyannote[1198].end 8063.68221875
transcript.pyannote[1199].speaker SPEAKER_08
transcript.pyannote[1199].start 8069.70659375
transcript.pyannote[1199].end 8069.97659375
transcript.pyannote[1200].speaker SPEAKER_38
transcript.pyannote[1200].start 8085.33284375
transcript.pyannote[1200].end 8085.68721875
transcript.pyannote[1201].speaker SPEAKER_38
transcript.pyannote[1201].start 8086.04159375
transcript.pyannote[1201].end 8086.12596875
transcript.pyannote[1202].speaker SPEAKER_38
transcript.pyannote[1202].start 8086.51409375
transcript.pyannote[1202].end 8086.75034375
transcript.pyannote[1203].speaker SPEAKER_40
transcript.pyannote[1203].start 8093.50034375
transcript.pyannote[1203].end 8093.58471875
transcript.pyannote[1204].speaker SPEAKER_40
transcript.pyannote[1204].start 8093.97284375
transcript.pyannote[1204].end 8094.02346875
transcript.pyannote[1205].speaker SPEAKER_40
transcript.pyannote[1205].start 8094.91784375
transcript.pyannote[1205].end 8095.23846875
transcript.pyannote[1206].speaker SPEAKER_38
transcript.pyannote[1206].start 8105.97096875
transcript.pyannote[1206].end 8106.78096875
transcript.pyannote[1207].speaker SPEAKER_08
transcript.pyannote[1207].start 8805.42284375
transcript.pyannote[1207].end 8806.77284375
transcript.pyannote[1208].speaker SPEAKER_08
transcript.pyannote[1208].start 8807.19471875
transcript.pyannote[1208].end 8809.01721875
transcript.pyannote[1209].speaker SPEAKER_08
transcript.pyannote[1209].start 8816.25659375
transcript.pyannote[1209].end 8816.96534375
transcript.pyannote[1210].speaker SPEAKER_24
transcript.pyannote[1210].start 8817.58971875
transcript.pyannote[1210].end 8817.91034375
transcript.pyannote[1211].speaker SPEAKER_08
transcript.pyannote[1211].start 8817.97784375
transcript.pyannote[1211].end 8818.82159375
transcript.pyannote[1212].speaker SPEAKER_24
transcript.pyannote[1212].start 8819.64846875
transcript.pyannote[1212].end 8820.28971875
transcript.pyannote[1213].speaker SPEAKER_24
transcript.pyannote[1213].start 8820.77909375
transcript.pyannote[1213].end 8824.33971875
transcript.pyannote[1214].speaker SPEAKER_29
transcript.pyannote[1214].start 8829.79034375
transcript.pyannote[1214].end 8830.33034375
transcript.pyannote[1215].speaker SPEAKER_24
transcript.pyannote[1215].start 8830.85346875
transcript.pyannote[1215].end 8837.60346875
transcript.pyannote[1216].speaker SPEAKER_38
transcript.pyannote[1216].start 8837.60346875
transcript.pyannote[1216].end 8837.89034375
transcript.pyannote[1217].speaker SPEAKER_24
transcript.pyannote[1217].start 8837.89034375
transcript.pyannote[1217].end 8842.02471875
transcript.pyannote[1218].speaker SPEAKER_24
transcript.pyannote[1218].start 8842.14284375
transcript.pyannote[1218].end 8858.07284375
transcript.pyannote[1219].speaker SPEAKER_24
transcript.pyannote[1219].start 8858.20784375
transcript.pyannote[1219].end 8859.99659375
transcript.pyannote[1220].speaker SPEAKER_24
transcript.pyannote[1220].start 8860.33409375
transcript.pyannote[1220].end 8872.70346875
transcript.pyannote[1221].speaker SPEAKER_24
transcript.pyannote[1221].start 8872.99034375
transcript.pyannote[1221].end 8883.16596875
transcript.pyannote[1222].speaker SPEAKER_24
transcript.pyannote[1222].start 8883.57096875
transcript.pyannote[1222].end 8893.30784375
transcript.pyannote[1223].speaker SPEAKER_38
transcript.pyannote[1223].start 8893.30784375
transcript.pyannote[1223].end 8893.62846875
transcript.pyannote[1224].speaker SPEAKER_24
transcript.pyannote[1224].start 8894.26971875
transcript.pyannote[1224].end 8896.24409375
transcript.pyannote[1225].speaker SPEAKER_24
transcript.pyannote[1225].start 8896.53096875
transcript.pyannote[1225].end 8897.54346875
transcript.pyannote[1226].speaker SPEAKER_24
transcript.pyannote[1226].start 8898.01596875
transcript.pyannote[1226].end 8916.27471875
transcript.pyannote[1227].speaker SPEAKER_24
transcript.pyannote[1227].start 8916.57846875
transcript.pyannote[1227].end 8921.01659375
transcript.pyannote[1228].speaker SPEAKER_24
transcript.pyannote[1228].start 8921.47221875
transcript.pyannote[1228].end 8923.61534375
transcript.pyannote[1229].speaker SPEAKER_24
transcript.pyannote[1229].start 8924.47596875
transcript.pyannote[1229].end 8925.58971875
transcript.pyannote[1230].speaker SPEAKER_24
transcript.pyannote[1230].start 8925.74159375
transcript.pyannote[1230].end 8928.45846875
transcript.pyannote[1231].speaker SPEAKER_24
transcript.pyannote[1231].start 8928.86346875
transcript.pyannote[1231].end 8930.38221875
transcript.pyannote[1232].speaker SPEAKER_29
transcript.pyannote[1232].start 8931.85034375
transcript.pyannote[1232].end 8936.38971875
transcript.pyannote[1233].speaker SPEAKER_29
transcript.pyannote[1233].start 8936.60909375
transcript.pyannote[1233].end 8941.80659375
transcript.pyannote[1234].speaker SPEAKER_24
transcript.pyannote[1234].start 8941.65471875
transcript.pyannote[1234].end 8942.12721875
transcript.pyannote[1235].speaker SPEAKER_24
transcript.pyannote[1235].start 8942.93721875
transcript.pyannote[1235].end 8946.41346875
transcript.pyannote[1236].speaker SPEAKER_24
transcript.pyannote[1236].start 8946.48096875
transcript.pyannote[1236].end 8951.83034375
transcript.pyannote[1237].speaker SPEAKER_28
transcript.pyannote[1237].start 8953.63596875
transcript.pyannote[1237].end 8955.62721875
transcript.pyannote[1238].speaker SPEAKER_29
transcript.pyannote[1238].start 8955.62721875
transcript.pyannote[1238].end 8955.91409375
transcript.pyannote[1239].speaker SPEAKER_28
transcript.pyannote[1239].start 8955.71159375
transcript.pyannote[1239].end 8955.74534375
transcript.pyannote[1240].speaker SPEAKER_28
transcript.pyannote[1240].start 8955.91409375
transcript.pyannote[1240].end 8955.93096875
transcript.pyannote[1241].speaker SPEAKER_29
transcript.pyannote[1241].start 8955.93096875
transcript.pyannote[1241].end 8956.09971875
transcript.pyannote[1242].speaker SPEAKER_28
transcript.pyannote[1242].start 8956.09971875
transcript.pyannote[1242].end 8956.57221875
transcript.pyannote[1243].speaker SPEAKER_29
transcript.pyannote[1243].start 8956.57221875
transcript.pyannote[1243].end 8957.88846875
transcript.pyannote[1244].speaker SPEAKER_24
transcript.pyannote[1244].start 8957.88846875
transcript.pyannote[1244].end 8963.22096875
transcript.pyannote[1245].speaker SPEAKER_29
transcript.pyannote[1245].start 8963.22096875
transcript.pyannote[1245].end 8963.96346875
transcript.pyannote[1246].speaker SPEAKER_24
transcript.pyannote[1246].start 8963.82846875
transcript.pyannote[1246].end 8963.86221875
transcript.pyannote[1247].speaker SPEAKER_24
transcript.pyannote[1247].start 8963.87909375
transcript.pyannote[1247].end 8969.16096875
transcript.pyannote[1248].speaker SPEAKER_29
transcript.pyannote[1248].start 8964.03096875
transcript.pyannote[1248].end 8964.04784375
transcript.pyannote[1249].speaker SPEAKER_38
transcript.pyannote[1249].start 8965.78596875
transcript.pyannote[1249].end 8965.85346875
transcript.pyannote[1250].speaker SPEAKER_29
transcript.pyannote[1250].start 8965.85346875
transcript.pyannote[1250].end 8966.03909375
transcript.pyannote[1251].speaker SPEAKER_38
transcript.pyannote[1251].start 8966.03909375
transcript.pyannote[1251].end 8966.69721875
transcript.pyannote[1252].speaker SPEAKER_38
transcript.pyannote[1252].start 8968.80659375
transcript.pyannote[1252].end 8969.48159375
transcript.pyannote[1253].speaker SPEAKER_24
transcript.pyannote[1253].start 8969.44784375
transcript.pyannote[1253].end 8971.47284375
transcript.pyannote[1254].speaker SPEAKER_38
transcript.pyannote[1254].start 8969.51534375
transcript.pyannote[1254].end 8970.59534375
transcript.pyannote[1255].speaker SPEAKER_38
transcript.pyannote[1255].start 8970.61221875
transcript.pyannote[1255].end 8970.66284375
transcript.pyannote[1256].speaker SPEAKER_24
transcript.pyannote[1256].start 8971.87784375
transcript.pyannote[1256].end 8975.32034375
transcript.pyannote[1257].speaker SPEAKER_24
transcript.pyannote[1257].start 8975.67471875
transcript.pyannote[1257].end 8976.67034375
transcript.pyannote[1258].speaker SPEAKER_29
transcript.pyannote[1258].start 8979.10034375
transcript.pyannote[1258].end 8980.97346875
transcript.pyannote[1259].speaker SPEAKER_24
transcript.pyannote[1259].start 8980.34909375
transcript.pyannote[1259].end 8981.47971875
transcript.pyannote[1260].speaker SPEAKER_24
transcript.pyannote[1260].start 8982.18846875
transcript.pyannote[1260].end 8986.45784375
transcript.pyannote[1261].speaker SPEAKER_24
transcript.pyannote[1261].start 8987.01471875
transcript.pyannote[1261].end 8992.81971875
transcript.pyannote[1262].speaker SPEAKER_24
transcript.pyannote[1262].start 8992.85346875
transcript.pyannote[1262].end 8992.87034375
transcript.pyannote[1263].speaker SPEAKER_38
transcript.pyannote[1263].start 8992.87034375
transcript.pyannote[1263].end 8993.15721875
transcript.pyannote[1264].speaker SPEAKER_24
transcript.pyannote[1264].start 8993.24159375
transcript.pyannote[1264].end 9026.24909375
transcript.pyannote[1265].speaker SPEAKER_10
transcript.pyannote[1265].start 9002.45534375
transcript.pyannote[1265].end 9002.75909375
transcript.pyannote[1266].speaker SPEAKER_24
transcript.pyannote[1266].start 9027.02534375
transcript.pyannote[1266].end 9041.57159375
transcript.pyannote[1267].speaker SPEAKER_24
transcript.pyannote[1267].start 9042.26346875
transcript.pyannote[1267].end 9043.86659375
transcript.pyannote[1268].speaker SPEAKER_24
transcript.pyannote[1268].start 9044.28846875
transcript.pyannote[1268].end 9056.06721875
transcript.pyannote[1269].speaker SPEAKER_24
transcript.pyannote[1269].start 9056.53971875
transcript.pyannote[1269].end 9072.99284375
transcript.pyannote[1270].speaker SPEAKER_24
transcript.pyannote[1270].start 9073.49909375
transcript.pyannote[1270].end 9074.02221875
transcript.pyannote[1271].speaker SPEAKER_29
transcript.pyannote[1271].start 9074.35971875
transcript.pyannote[1271].end 9075.49034375
transcript.pyannote[1272].speaker SPEAKER_29
transcript.pyannote[1272].start 9075.65909375
transcript.pyannote[1272].end 9076.94159375
transcript.pyannote[1273].speaker SPEAKER_24
transcript.pyannote[1273].start 9075.67596875
transcript.pyannote[1273].end 9076.23284375
transcript.pyannote[1274].speaker SPEAKER_24
transcript.pyannote[1274].start 9076.94159375
transcript.pyannote[1274].end 9079.10159375
transcript.pyannote[1275].speaker SPEAKER_24
transcript.pyannote[1275].start 9080.95784375
transcript.pyannote[1275].end 9083.32034375
transcript.pyannote[1276].speaker SPEAKER_24
transcript.pyannote[1276].start 9084.18096875
transcript.pyannote[1276].end 9087.35346875
transcript.pyannote[1277].speaker SPEAKER_24
transcript.pyannote[1277].start 9087.57284375
transcript.pyannote[1277].end 9093.37784375
transcript.pyannote[1278].speaker SPEAKER_29
transcript.pyannote[1278].start 9094.08659375
transcript.pyannote[1278].end 9096.33096875
transcript.pyannote[1279].speaker SPEAKER_28
transcript.pyannote[1279].start 9096.33096875
transcript.pyannote[1279].end 9096.55034375
transcript.pyannote[1280].speaker SPEAKER_24
transcript.pyannote[1280].start 9097.07346875
transcript.pyannote[1280].end 9100.68471875
transcript.pyannote[1281].speaker SPEAKER_28
transcript.pyannote[1281].start 9101.19096875
transcript.pyannote[1281].end 9103.11471875
transcript.pyannote[1282].speaker SPEAKER_28
transcript.pyannote[1282].start 9103.40159375
transcript.pyannote[1282].end 9112.27784375
transcript.pyannote[1283].speaker SPEAKER_24
transcript.pyannote[1283].start 9112.34534375
transcript.pyannote[1283].end 9116.29409375
transcript.pyannote[1284].speaker SPEAKER_28
transcript.pyannote[1284].start 9116.69909375
transcript.pyannote[1284].end 9121.67721875
transcript.pyannote[1285].speaker SPEAKER_24
transcript.pyannote[1285].start 9121.64346875
transcript.pyannote[1285].end 9127.70159375
transcript.pyannote[1286].speaker SPEAKER_28
transcript.pyannote[1286].start 9127.34721875
transcript.pyannote[1286].end 9129.50721875
transcript.pyannote[1287].speaker SPEAKER_24
transcript.pyannote[1287].start 9128.25846875
transcript.pyannote[1287].end 9132.25784375
transcript.pyannote[1288].speaker SPEAKER_28
transcript.pyannote[1288].start 9131.98784375
transcript.pyannote[1288].end 9136.10534375
transcript.pyannote[1289].speaker SPEAKER_24
transcript.pyannote[1289].start 9135.26159375
transcript.pyannote[1289].end 9137.30346875
transcript.pyannote[1290].speaker SPEAKER_28
transcript.pyannote[1290].start 9137.32034375
transcript.pyannote[1290].end 9141.89346875
transcript.pyannote[1291].speaker SPEAKER_24
transcript.pyannote[1291].start 9141.62346875
transcript.pyannote[1291].end 9143.74971875
transcript.pyannote[1292].speaker SPEAKER_28
transcript.pyannote[1292].start 9143.64846875
transcript.pyannote[1292].end 9149.63909375
transcript.pyannote[1293].speaker SPEAKER_24
transcript.pyannote[1293].start 9144.35721875
transcript.pyannote[1293].end 9146.17971875
transcript.pyannote[1294].speaker SPEAKER_24
transcript.pyannote[1294].start 9149.35221875
transcript.pyannote[1294].end 9152.74409375
transcript.pyannote[1295].speaker SPEAKER_28
transcript.pyannote[1295].start 9151.25909375
transcript.pyannote[1295].end 9154.17846875
transcript.pyannote[1296].speaker SPEAKER_24
transcript.pyannote[1296].start 9153.79034375
transcript.pyannote[1296].end 9161.72159375
transcript.pyannote[1297].speaker SPEAKER_28
transcript.pyannote[1297].start 9159.59534375
transcript.pyannote[1297].end 9159.94971875
transcript.pyannote[1298].speaker SPEAKER_28
transcript.pyannote[1298].start 9161.28284375
transcript.pyannote[1298].end 9170.27721875
transcript.pyannote[1299].speaker SPEAKER_24
transcript.pyannote[1299].start 9162.14346875
transcript.pyannote[1299].end 9164.77596875
transcript.pyannote[1300].speaker SPEAKER_24
transcript.pyannote[1300].start 9167.37471875
transcript.pyannote[1300].end 9174.10784375
transcript.pyannote[1301].speaker SPEAKER_24
transcript.pyannote[1301].start 9174.56346875
transcript.pyannote[1301].end 9176.31846875
transcript.pyannote[1302].speaker SPEAKER_28
transcript.pyannote[1302].start 9176.31846875
transcript.pyannote[1302].end 9176.95971875
transcript.pyannote[1303].speaker SPEAKER_24
transcript.pyannote[1303].start 9176.95971875
transcript.pyannote[1303].end 9180.01409375
transcript.pyannote[1304].speaker SPEAKER_28
transcript.pyannote[1304].start 9180.21659375
transcript.pyannote[1304].end 9185.49846875
transcript.pyannote[1305].speaker SPEAKER_24
transcript.pyannote[1305].start 9185.29596875
transcript.pyannote[1305].end 9186.67971875
transcript.pyannote[1306].speaker SPEAKER_28
transcript.pyannote[1306].start 9186.66284375
transcript.pyannote[1306].end 9189.04221875
transcript.pyannote[1307].speaker SPEAKER_24
transcript.pyannote[1307].start 9187.79346875
transcript.pyannote[1307].end 9188.92409375
transcript.pyannote[1308].speaker SPEAKER_24
transcript.pyannote[1308].start 9189.04221875
transcript.pyannote[1308].end 9200.82096875
transcript.pyannote[1309].speaker SPEAKER_28
transcript.pyannote[1309].start 9191.23596875
transcript.pyannote[1309].end 9192.14721875
transcript.pyannote[1310].speaker SPEAKER_24
transcript.pyannote[1310].start 9201.37784375
transcript.pyannote[1310].end 9204.24659375
transcript.pyannote[1311].speaker SPEAKER_24
transcript.pyannote[1311].start 9204.90471875
transcript.pyannote[1311].end 9211.43534375
transcript.pyannote[1312].speaker SPEAKER_24
transcript.pyannote[1312].start 9211.55346875
transcript.pyannote[1312].end 9217.22346875
transcript.pyannote[1313].speaker SPEAKER_38
transcript.pyannote[1313].start 9217.24034375
transcript.pyannote[1313].end 9217.47659375
transcript.pyannote[1314].speaker SPEAKER_24
transcript.pyannote[1314].start 9217.47659375
transcript.pyannote[1314].end 9227.50034375
transcript.pyannote[1315].speaker SPEAKER_28
transcript.pyannote[1315].start 9228.27659375
transcript.pyannote[1315].end 9237.22034375
transcript.pyannote[1316].speaker SPEAKER_24
transcript.pyannote[1316].start 9237.22034375
transcript.pyannote[1316].end 9245.26971875
transcript.pyannote[1317].speaker SPEAKER_24
transcript.pyannote[1317].start 9245.69159375
transcript.pyannote[1317].end 9256.12034375
transcript.pyannote[1318].speaker SPEAKER_24
transcript.pyannote[1318].start 9256.13721875
transcript.pyannote[1318].end 9258.63471875
transcript.pyannote[1319].speaker SPEAKER_24
transcript.pyannote[1319].start 9259.86659375
transcript.pyannote[1319].end 9264.76034375
transcript.pyannote[1320].speaker SPEAKER_24
transcript.pyannote[1320].start 9266.00909375
transcript.pyannote[1320].end 9287.98034375
transcript.pyannote[1321].speaker SPEAKER_28
transcript.pyannote[1321].start 9279.49221875
transcript.pyannote[1321].end 9280.90971875
transcript.pyannote[1322].speaker SPEAKER_24
transcript.pyannote[1322].start 9288.23346875
transcript.pyannote[1322].end 9295.70909375
transcript.pyannote[1323].speaker SPEAKER_00
transcript.pyannote[1323].start 9293.49846875
transcript.pyannote[1323].end 9293.81909375
transcript.pyannote[1324].speaker SPEAKER_24
transcript.pyannote[1324].start 9295.92846875
transcript.pyannote[1324].end 9346.60409375
transcript.pyannote[1325].speaker SPEAKER_24
transcript.pyannote[1325].start 9347.04284375
transcript.pyannote[1325].end 9371.03909375
transcript.pyannote[1326].speaker SPEAKER_24
transcript.pyannote[1326].start 9371.51159375
transcript.pyannote[1326].end 9386.49659375
transcript.pyannote[1327].speaker SPEAKER_24
transcript.pyannote[1327].start 9386.98596875
transcript.pyannote[1327].end 9394.39409375
transcript.pyannote[1328].speaker SPEAKER_24
transcript.pyannote[1328].start 9394.47846875
transcript.pyannote[1328].end 9400.46909375
transcript.pyannote[1329].speaker SPEAKER_29
transcript.pyannote[1329].start 9400.46909375
transcript.pyannote[1329].end 9400.48596875
transcript.pyannote[1330].speaker SPEAKER_34
transcript.pyannote[1330].start 9400.48596875
transcript.pyannote[1330].end 9400.51971875
transcript.pyannote[1331].speaker SPEAKER_29
transcript.pyannote[1331].start 9400.51971875
transcript.pyannote[1331].end 9400.85721875
transcript.pyannote[1332].speaker SPEAKER_29
transcript.pyannote[1332].start 9401.22846875
transcript.pyannote[1332].end 9402.27471875
transcript.pyannote[1333].speaker SPEAKER_24
transcript.pyannote[1333].start 9402.84846875
transcript.pyannote[1333].end 9404.31659375
transcript.pyannote[1334].speaker SPEAKER_24
transcript.pyannote[1334].start 9404.40096875
transcript.pyannote[1334].end 9404.45159375
transcript.pyannote[1335].speaker SPEAKER_34
transcript.pyannote[1335].start 9404.45159375
transcript.pyannote[1335].end 9407.16846875
transcript.pyannote[1336].speaker SPEAKER_24
transcript.pyannote[1336].start 9406.07159375
transcript.pyannote[1336].end 9407.35409375
transcript.pyannote[1337].speaker SPEAKER_34
transcript.pyannote[1337].start 9408.26534375
transcript.pyannote[1337].end 9412.07909375
transcript.pyannote[1338].speaker SPEAKER_34
transcript.pyannote[1338].start 9412.21409375
transcript.pyannote[1338].end 9414.52596875
transcript.pyannote[1339].speaker SPEAKER_24
transcript.pyannote[1339].start 9414.67784375
transcript.pyannote[1339].end 9422.45721875
transcript.pyannote[1340].speaker SPEAKER_24
transcript.pyannote[1340].start 9423.13221875
transcript.pyannote[1340].end 9424.58346875
transcript.pyannote[1341].speaker SPEAKER_24
transcript.pyannote[1341].start 9424.78596875
transcript.pyannote[1341].end 9434.82659375
transcript.pyannote[1342].speaker SPEAKER_24
transcript.pyannote[1342].start 9435.83909375
transcript.pyannote[1342].end 9452.12346875
transcript.pyannote[1343].speaker SPEAKER_24
transcript.pyannote[1343].start 9452.66346875
transcript.pyannote[1343].end 9455.90346875
transcript.pyannote[1344].speaker SPEAKER_24
transcript.pyannote[1344].start 9455.97096875
transcript.pyannote[1344].end 9455.98784375
transcript.pyannote[1345].speaker SPEAKER_24
transcript.pyannote[1345].start 9456.00471875
transcript.pyannote[1345].end 9466.60221875
transcript.pyannote[1346].speaker SPEAKER_24
transcript.pyannote[1346].start 9466.73721875
transcript.pyannote[1346].end 9472.33971875
transcript.pyannote[1347].speaker SPEAKER_24
transcript.pyannote[1347].start 9472.79534375
transcript.pyannote[1347].end 9481.45221875
transcript.pyannote[1348].speaker SPEAKER_24
transcript.pyannote[1348].start 9481.89096875
transcript.pyannote[1348].end 9489.51846875
transcript.pyannote[1349].speaker SPEAKER_24
transcript.pyannote[1349].start 9490.41284375
transcript.pyannote[1349].end 9493.02846875
transcript.pyannote[1350].speaker SPEAKER_24
transcript.pyannote[1350].start 9493.07909375
transcript.pyannote[1350].end 9496.03221875
transcript.pyannote[1351].speaker SPEAKER_24
transcript.pyannote[1351].start 9497.44971875
transcript.pyannote[1351].end 9519.80909375
transcript.pyannote[1352].speaker SPEAKER_24
transcript.pyannote[1352].start 9520.38284375
transcript.pyannote[1352].end 9527.79096875
transcript.pyannote[1353].speaker SPEAKER_24
transcript.pyannote[1353].start 9528.63471875
transcript.pyannote[1353].end 9547.68659375
transcript.pyannote[1354].speaker SPEAKER_24
transcript.pyannote[1354].start 9548.07471875
transcript.pyannote[1354].end 9549.25596875
transcript.pyannote[1355].speaker SPEAKER_24
transcript.pyannote[1355].start 9549.81284375
transcript.pyannote[1355].end 9572.32409375
transcript.pyannote[1356].speaker SPEAKER_24
transcript.pyannote[1356].start 9572.77971875
transcript.pyannote[1356].end 9574.26471875
transcript.pyannote[1357].speaker SPEAKER_24
transcript.pyannote[1357].start 9574.93971875
transcript.pyannote[1357].end 9578.06159375
transcript.pyannote[1358].speaker SPEAKER_24
transcript.pyannote[1358].start 9578.61846875
transcript.pyannote[1358].end 9588.28784375
transcript.pyannote[1359].speaker SPEAKER_24
transcript.pyannote[1359].start 9588.42284375
transcript.pyannote[1359].end 9589.51971875
transcript.pyannote[1360].speaker SPEAKER_24
transcript.pyannote[1360].start 9590.12721875
transcript.pyannote[1360].end 9590.54909375
transcript.pyannote[1361].speaker SPEAKER_24
transcript.pyannote[1361].start 9591.13971875
transcript.pyannote[1361].end 9592.77659375
transcript.pyannote[1362].speaker SPEAKER_24
transcript.pyannote[1362].start 9593.08034375
transcript.pyannote[1362].end 9596.67471875
transcript.pyannote[1363].speaker SPEAKER_24
transcript.pyannote[1363].start 9597.87284375
transcript.pyannote[1363].end 9599.81346875
transcript.pyannote[1364].speaker SPEAKER_24
transcript.pyannote[1364].start 9600.89346875
transcript.pyannote[1364].end 9602.04096875
transcript.pyannote[1365].speaker SPEAKER_24
transcript.pyannote[1365].start 9604.38659375
transcript.pyannote[1365].end 9610.14096875
transcript.pyannote[1366].speaker SPEAKER_24
transcript.pyannote[1366].start 9611.20409375
transcript.pyannote[1366].end 9614.86596875
transcript.pyannote[1367].speaker SPEAKER_24
transcript.pyannote[1367].start 9615.32159375
transcript.pyannote[1367].end 9618.24096875
transcript.pyannote[1368].speaker SPEAKER_24
transcript.pyannote[1368].start 9618.93284375
transcript.pyannote[1368].end 9625.46346875
transcript.pyannote[1369].speaker SPEAKER_29
transcript.pyannote[1369].start 9626.35784375
transcript.pyannote[1369].end 9626.57721875
transcript.pyannote[1370].speaker SPEAKER_24
transcript.pyannote[1370].start 9626.57721875
transcript.pyannote[1370].end 9626.64471875
transcript.pyannote[1371].speaker SPEAKER_29
transcript.pyannote[1371].start 9626.64471875
transcript.pyannote[1371].end 9626.69534375
transcript.pyannote[1372].speaker SPEAKER_29
transcript.pyannote[1372].start 9626.94846875
transcript.pyannote[1372].end 9631.06596875
transcript.pyannote[1373].speaker SPEAKER_29
transcript.pyannote[1373].start 9631.09971875
transcript.pyannote[1373].end 9631.11659375
transcript.pyannote[1374].speaker SPEAKER_29
transcript.pyannote[1374].start 9631.15034375
transcript.pyannote[1374].end 9631.35284375
transcript.pyannote[1375].speaker SPEAKER_24
transcript.pyannote[1375].start 9631.35284375
transcript.pyannote[1375].end 9670.21596875
transcript.pyannote[1376].speaker SPEAKER_29
transcript.pyannote[1376].start 9631.40346875
transcript.pyannote[1376].end 9631.43721875
transcript.pyannote[1377].speaker SPEAKER_29
transcript.pyannote[1377].start 9631.47096875
transcript.pyannote[1377].end 9631.48784375
transcript.pyannote[1378].speaker SPEAKER_24
transcript.pyannote[1378].start 9670.51971875
transcript.pyannote[1378].end 9675.22784375
transcript.pyannote[1379].speaker SPEAKER_29
transcript.pyannote[1379].start 9674.02971875
transcript.pyannote[1379].end 9674.31659375
transcript.pyannote[1380].speaker SPEAKER_29
transcript.pyannote[1380].start 9674.85659375
transcript.pyannote[1380].end 9678.33284375
transcript.pyannote[1381].speaker SPEAKER_29
transcript.pyannote[1381].start 9678.99096875
transcript.pyannote[1381].end 9683.39534375
transcript.pyannote[1382].speaker SPEAKER_24
transcript.pyannote[1382].start 9683.34471875
transcript.pyannote[1382].end 9746.87909375
transcript.pyannote[1383].speaker SPEAKER_29
transcript.pyannote[1383].start 9683.85096875
transcript.pyannote[1383].end 9684.67784375
transcript.pyannote[1384].speaker SPEAKER_24
transcript.pyannote[1384].start 9747.06471875
transcript.pyannote[1384].end 9771.68534375
transcript.pyannote[1385].speaker SPEAKER_24
transcript.pyannote[1385].start 9771.97221875
transcript.pyannote[1385].end 9803.30909375
transcript.pyannote[1386].speaker SPEAKER_24
transcript.pyannote[1386].start 9804.60846875
transcript.pyannote[1386].end 9831.72659375
transcript.pyannote[1387].speaker SPEAKER_24
transcript.pyannote[1387].start 9833.09346875
transcript.pyannote[1387].end 9833.46471875
transcript.pyannote[1388].speaker SPEAKER_24
transcript.pyannote[1388].start 9834.83159375
transcript.pyannote[1388].end 9836.01284375
transcript.pyannote[1389].speaker SPEAKER_29
transcript.pyannote[1389].start 9834.88221875
transcript.pyannote[1389].end 9846.13784375
transcript.pyannote[1390].speaker SPEAKER_24
transcript.pyannote[1390].start 9838.22346875
transcript.pyannote[1390].end 9840.02909375
transcript.pyannote[1391].speaker SPEAKER_22
transcript.pyannote[1391].start 9840.02909375
transcript.pyannote[1391].end 9842.96534375
transcript.pyannote[1392].speaker SPEAKER_22
transcript.pyannote[1392].start 9845.98596875
transcript.pyannote[1392].end 9850.08659375
transcript.pyannote[1393].speaker SPEAKER_29
transcript.pyannote[1393].start 9847.75784375
transcript.pyannote[1393].end 9848.75346875
transcript.pyannote[1394].speaker SPEAKER_29
transcript.pyannote[1394].start 9852.68534375
transcript.pyannote[1394].end 9855.14909375
transcript.pyannote[1395].speaker SPEAKER_29
transcript.pyannote[1395].start 9855.46971875
transcript.pyannote[1395].end 9856.22909375
transcript.pyannote[1396].speaker SPEAKER_29
transcript.pyannote[1396].start 9856.65096875
transcript.pyannote[1396].end 9857.19096875
transcript.pyannote[1397].speaker SPEAKER_24
transcript.pyannote[1397].start 9856.71846875
transcript.pyannote[1397].end 9862.48971875
transcript.pyannote[1398].speaker SPEAKER_24
transcript.pyannote[1398].start 9863.13096875
transcript.pyannote[1398].end 9875.78721875
transcript.pyannote[1399].speaker SPEAKER_20
transcript.pyannote[1399].start 9870.80909375
transcript.pyannote[1399].end 9871.63596875
transcript.pyannote[1400].speaker SPEAKER_18
transcript.pyannote[1400].start 9871.63596875
transcript.pyannote[1400].end 9871.65284375
transcript.pyannote[1401].speaker SPEAKER_24
transcript.pyannote[1401].start 9876.04034375
transcript.pyannote[1401].end 9900.10409375
transcript.pyannote[1402].speaker SPEAKER_24
transcript.pyannote[1402].start 9900.30659375
transcript.pyannote[1402].end 9917.85659375
transcript.pyannote[1403].speaker SPEAKER_24
transcript.pyannote[1403].start 9918.73409375
transcript.pyannote[1403].end 9927.72846875
transcript.pyannote[1404].speaker SPEAKER_24
transcript.pyannote[1404].start 9928.25159375
transcript.pyannote[1404].end 9930.17534375
transcript.pyannote[1405].speaker SPEAKER_29
transcript.pyannote[1405].start 9930.96846875
transcript.pyannote[1405].end 9934.03971875
transcript.pyannote[1406].speaker SPEAKER_24
transcript.pyannote[1406].start 9933.76971875
transcript.pyannote[1406].end 9935.10284375
transcript.pyannote[1407].speaker SPEAKER_24
transcript.pyannote[1407].start 9935.38971875
transcript.pyannote[1407].end 9939.38909375
transcript.pyannote[1408].speaker SPEAKER_29
transcript.pyannote[1408].start 9938.96721875
transcript.pyannote[1408].end 9940.78971875
transcript.pyannote[1409].speaker SPEAKER_24
transcript.pyannote[1409].start 9940.84034375
transcript.pyannote[1409].end 9967.51971875
transcript.pyannote[1410].speaker SPEAKER_24
transcript.pyannote[1410].start 9967.68846875
transcript.pyannote[1410].end 9974.94471875
transcript.pyannote[1411].speaker SPEAKER_24
transcript.pyannote[1411].start 9976.05846875
transcript.pyannote[1411].end 9982.36971875
transcript.pyannote[1412].speaker SPEAKER_24
transcript.pyannote[1412].start 9983.95596875
transcript.pyannote[1412].end 10000.34159375
transcript.pyannote[1413].speaker SPEAKER_24
transcript.pyannote[1413].start 10000.76346875
transcript.pyannote[1413].end 10002.75471875
transcript.pyannote[1414].speaker SPEAKER_24
transcript.pyannote[1414].start 10003.69971875
transcript.pyannote[1414].end 10007.07471875
transcript.pyannote[1415].speaker SPEAKER_24
transcript.pyannote[1415].start 10007.73284375
transcript.pyannote[1415].end 10037.55096875
transcript.pyannote[1416].speaker SPEAKER_13
transcript.pyannote[1416].start 10008.23909375
transcript.pyannote[1416].end 10008.40784375
transcript.pyannote[1417].speaker SPEAKER_09
transcript.pyannote[1417].start 10037.07846875
transcript.pyannote[1417].end 10037.65221875
transcript.pyannote[1418].speaker SPEAKER_24
transcript.pyannote[1418].start 10037.65221875
transcript.pyannote[1418].end 10037.68596875
transcript.pyannote[1419].speaker SPEAKER_24
transcript.pyannote[1419].start 10037.90534375
transcript.pyannote[1419].end 10041.46596875
transcript.pyannote[1420].speaker SPEAKER_24
transcript.pyannote[1420].start 10042.64721875
transcript.pyannote[1420].end 10043.94659375
transcript.pyannote[1421].speaker SPEAKER_24
transcript.pyannote[1421].start 10044.41909375
transcript.pyannote[1421].end 10049.83596875
transcript.pyannote[1422].speaker SPEAKER_29
transcript.pyannote[1422].start 10050.08909375
transcript.pyannote[1422].end 10052.08034375
transcript.pyannote[1423].speaker SPEAKER_24
transcript.pyannote[1423].start 10052.28284375
transcript.pyannote[1423].end 10054.78034375
transcript.pyannote[1424].speaker SPEAKER_29
transcript.pyannote[1424].start 10054.74659375
transcript.pyannote[1424].end 10056.43409375
transcript.pyannote[1425].speaker SPEAKER_34
transcript.pyannote[1425].start 10055.06721875
transcript.pyannote[1425].end 10055.16846875
transcript.pyannote[1426].speaker SPEAKER_34
transcript.pyannote[1426].start 10056.01221875
transcript.pyannote[1426].end 10069.09034375
transcript.pyannote[1427].speaker SPEAKER_24
transcript.pyannote[1427].start 10069.30971875
transcript.pyannote[1427].end 10077.17346875
transcript.pyannote[1428].speaker SPEAKER_34
transcript.pyannote[1428].start 10077.79784375
transcript.pyannote[1428].end 10080.27846875
transcript.pyannote[1429].speaker SPEAKER_24
transcript.pyannote[1429].start 10080.02534375
transcript.pyannote[1429].end 10087.83846875
transcript.pyannote[1430].speaker SPEAKER_34
transcript.pyannote[1430].start 10088.61471875
transcript.pyannote[1430].end 10088.81721875
transcript.pyannote[1431].speaker SPEAKER_34
transcript.pyannote[1431].start 10088.85096875
transcript.pyannote[1431].end 10096.91721875
transcript.pyannote[1432].speaker SPEAKER_24
transcript.pyannote[1432].start 10097.28846875
transcript.pyannote[1432].end 10097.30534375
transcript.pyannote[1433].speaker SPEAKER_34
transcript.pyannote[1433].start 10097.30534375
transcript.pyannote[1433].end 10097.32221875
transcript.pyannote[1434].speaker SPEAKER_24
transcript.pyannote[1434].start 10097.32221875
transcript.pyannote[1434].end 10097.40659375
transcript.pyannote[1435].speaker SPEAKER_34
transcript.pyannote[1435].start 10097.40659375
transcript.pyannote[1435].end 10097.96346875
transcript.pyannote[1436].speaker SPEAKER_24
transcript.pyannote[1436].start 10097.96346875
transcript.pyannote[1436].end 10100.24159375
transcript.pyannote[1437].speaker SPEAKER_24
transcript.pyannote[1437].start 10100.42721875
transcript.pyannote[1437].end 10128.16971875
transcript.pyannote[1438].speaker SPEAKER_24
transcript.pyannote[1438].start 10129.67159375
transcript.pyannote[1438].end 10143.61034375
transcript.pyannote[1439].speaker SPEAKER_34
transcript.pyannote[1439].start 10143.32346875
transcript.pyannote[1439].end 10146.91784375
transcript.pyannote[1440].speaker SPEAKER_24
transcript.pyannote[1440].start 10146.25971875
transcript.pyannote[1440].end 10146.78284375
transcript.pyannote[1441].speaker SPEAKER_24
transcript.pyannote[1441].start 10146.91784375
transcript.pyannote[1441].end 10151.15346875
transcript.pyannote[1442].speaker SPEAKER_24
transcript.pyannote[1442].start 10151.40659375
transcript.pyannote[1442].end 10155.87846875
transcript.pyannote[1443].speaker SPEAKER_24
transcript.pyannote[1443].start 10156.18221875
transcript.pyannote[1443].end 10160.67096875
transcript.pyannote[1444].speaker SPEAKER_24
transcript.pyannote[1444].start 10161.83534375
transcript.pyannote[1444].end 10168.92284375
transcript.pyannote[1445].speaker SPEAKER_24
transcript.pyannote[1445].start 10169.53034375
transcript.pyannote[1445].end 10170.77909375
transcript.pyannote[1446].speaker SPEAKER_24
transcript.pyannote[1446].start 10171.45409375
transcript.pyannote[1446].end 10174.86284375
transcript.pyannote[1447].speaker SPEAKER_24
transcript.pyannote[1447].start 10175.23409375
transcript.pyannote[1447].end 10179.03096875
transcript.pyannote[1448].speaker SPEAKER_24
transcript.pyannote[1448].start 10180.34721875
transcript.pyannote[1448].end 10183.40159375
transcript.pyannote[1449].speaker SPEAKER_24
transcript.pyannote[1449].start 10184.02596875
transcript.pyannote[1449].end 10195.66971875
transcript.pyannote[1450].speaker SPEAKER_38
transcript.pyannote[1450].start 10195.66971875
transcript.pyannote[1450].end 10196.02409375
transcript.pyannote[1451].speaker SPEAKER_24
transcript.pyannote[1451].start 10196.02409375
transcript.pyannote[1451].end 10197.99846875
transcript.pyannote[1452].speaker SPEAKER_24
transcript.pyannote[1452].start 10198.58909375
transcript.pyannote[1452].end 10227.47909375
transcript.pyannote[1453].speaker SPEAKER_38
transcript.pyannote[1453].start 10198.94346875
transcript.pyannote[1453].end 10199.51721875
transcript.pyannote[1454].speaker SPEAKER_24
transcript.pyannote[1454].start 10228.01909375
transcript.pyannote[1454].end 10233.67221875
transcript.pyannote[1455].speaker SPEAKER_29
transcript.pyannote[1455].start 10233.97596875
transcript.pyannote[1455].end 10235.07284375
transcript.pyannote[1456].speaker SPEAKER_24
transcript.pyannote[1456].start 10234.53284375
transcript.pyannote[1456].end 10237.16534375
transcript.pyannote[1457].speaker SPEAKER_29
transcript.pyannote[1457].start 10236.49034375
transcript.pyannote[1457].end 10246.49721875
transcript.pyannote[1458].speaker SPEAKER_24
transcript.pyannote[1458].start 10246.22721875
transcript.pyannote[1458].end 10252.99409375
transcript.pyannote[1459].speaker SPEAKER_24
transcript.pyannote[1459].start 10253.51721875
transcript.pyannote[1459].end 10255.20471875
transcript.pyannote[1460].speaker SPEAKER_29
transcript.pyannote[1460].start 10255.62659375
transcript.pyannote[1460].end 10256.68971875
transcript.pyannote[1461].speaker SPEAKER_24
transcript.pyannote[1461].start 10257.70221875
transcript.pyannote[1461].end 10258.32659375
transcript.pyannote[1462].speaker SPEAKER_24
transcript.pyannote[1462].start 10258.49534375
transcript.pyannote[1462].end 10262.15721875
transcript.pyannote[1463].speaker SPEAKER_29
transcript.pyannote[1463].start 10262.07284375
transcript.pyannote[1463].end 10262.78159375
transcript.pyannote[1464].speaker SPEAKER_24
transcript.pyannote[1464].start 10262.73096875
transcript.pyannote[1464].end 10265.05971875
transcript.pyannote[1465].speaker SPEAKER_29
transcript.pyannote[1465].start 10264.41846875
transcript.pyannote[1465].end 10266.81471875
transcript.pyannote[1466].speaker SPEAKER_24
transcript.pyannote[1466].start 10265.83596875
transcript.pyannote[1466].end 10269.32909375
transcript.pyannote[1467].speaker SPEAKER_29
transcript.pyannote[1467].start 10267.38846875
transcript.pyannote[1467].end 10268.43471875
transcript.pyannote[1468].speaker SPEAKER_29
transcript.pyannote[1468].start 10269.81846875
transcript.pyannote[1468].end 10271.97846875
transcript.pyannote[1469].speaker SPEAKER_24
transcript.pyannote[1469].start 10270.35846875
transcript.pyannote[1469].end 10270.74659375
transcript.pyannote[1470].speaker SPEAKER_07
transcript.pyannote[1470].start 10270.74659375
transcript.pyannote[1470].end 10270.83096875
transcript.pyannote[1471].speaker SPEAKER_24
transcript.pyannote[1471].start 10270.83096875
transcript.pyannote[1471].end 10270.93221875
transcript.pyannote[1472].speaker SPEAKER_24
transcript.pyannote[1472].start 10271.50596875
transcript.pyannote[1472].end 10272.02909375
transcript.pyannote[1473].speaker SPEAKER_07
transcript.pyannote[1473].start 10271.97846875
transcript.pyannote[1473].end 10275.65721875
transcript.pyannote[1474].speaker SPEAKER_29
transcript.pyannote[1474].start 10272.02909375
transcript.pyannote[1474].end 10272.78846875
transcript.pyannote[1475].speaker SPEAKER_07
transcript.pyannote[1475].start 10276.23096875
transcript.pyannote[1475].end 10278.96471875
transcript.pyannote[1476].speaker SPEAKER_08
transcript.pyannote[1476].start 10278.96471875
transcript.pyannote[1476].end 10279.13346875
transcript.pyannote[1477].speaker SPEAKER_08
transcript.pyannote[1477].start 10279.28534375
transcript.pyannote[1477].end 10279.38659375
transcript.pyannote[1478].speaker SPEAKER_07
transcript.pyannote[1478].start 10279.38659375
transcript.pyannote[1478].end 10279.97721875
transcript.pyannote[1479].speaker SPEAKER_08
transcript.pyannote[1479].start 10279.97721875
transcript.pyannote[1479].end 10280.02784375
transcript.pyannote[1480].speaker SPEAKER_07
transcript.pyannote[1480].start 10280.02784375
transcript.pyannote[1480].end 10280.97284375
transcript.pyannote[1481].speaker SPEAKER_08
transcript.pyannote[1481].start 10280.97284375
transcript.pyannote[1481].end 10281.02346875
transcript.pyannote[1482].speaker SPEAKER_07
transcript.pyannote[1482].start 10281.02346875
transcript.pyannote[1482].end 10281.05721875
transcript.pyannote[1483].speaker SPEAKER_08
transcript.pyannote[1483].start 10281.05721875
transcript.pyannote[1483].end 10281.44534375
transcript.pyannote[1484].speaker SPEAKER_37
transcript.pyannote[1484].start 10285.19159375
transcript.pyannote[1484].end 10286.99721875
transcript.pyannote[1485].speaker SPEAKER_22
transcript.pyannote[1485].start 10293.88221875
transcript.pyannote[1485].end 10294.40534375
transcript.pyannote[1486].speaker SPEAKER_37
transcript.pyannote[1486].start 10294.40534375
transcript.pyannote[1486].end 10381.98659375
transcript.pyannote[1487].speaker SPEAKER_38
transcript.pyannote[1487].start 10310.79096875
transcript.pyannote[1487].end 10311.19596875
transcript.pyannote[1488].speaker SPEAKER_38
transcript.pyannote[1488].start 10318.62096875
transcript.pyannote[1488].end 10319.16096875
transcript.pyannote[1489].speaker SPEAKER_00
transcript.pyannote[1489].start 10366.63034375
transcript.pyannote[1489].end 10366.73159375
transcript.pyannote[1490].speaker SPEAKER_38
transcript.pyannote[1490].start 10368.19971875
transcript.pyannote[1490].end 10368.55409375
transcript.pyannote[1491].speaker SPEAKER_00
transcript.pyannote[1491].start 10368.55409375
transcript.pyannote[1491].end 10368.57096875
transcript.pyannote[1492].speaker SPEAKER_38
transcript.pyannote[1492].start 10370.51159375
transcript.pyannote[1492].end 10370.57909375
transcript.pyannote[1493].speaker SPEAKER_19
transcript.pyannote[1493].start 10370.57909375
transcript.pyannote[1493].end 10370.89971875
transcript.pyannote[1494].speaker SPEAKER_38
transcript.pyannote[1494].start 10370.89971875
transcript.pyannote[1494].end 10370.95034375
transcript.pyannote[1495].speaker SPEAKER_38
transcript.pyannote[1495].start 10381.98659375
transcript.pyannote[1495].end 10382.02034375
transcript.pyannote[1496].speaker SPEAKER_37
transcript.pyannote[1496].start 10382.02034375
transcript.pyannote[1496].end 10436.07096875
transcript.pyannote[1497].speaker SPEAKER_37
transcript.pyannote[1497].start 10436.34096875
transcript.pyannote[1497].end 10440.94784375
transcript.pyannote[1498].speaker SPEAKER_38
transcript.pyannote[1498].start 10440.77909375
transcript.pyannote[1498].end 10441.16721875
transcript.pyannote[1499].speaker SPEAKER_37
transcript.pyannote[1499].start 10441.16721875
transcript.pyannote[1499].end 10488.01221875
transcript.pyannote[1500].speaker SPEAKER_37
transcript.pyannote[1500].start 10488.31596875
transcript.pyannote[1500].end 10526.58846875
transcript.pyannote[1501].speaker SPEAKER_29
transcript.pyannote[1501].start 10527.51659375
transcript.pyannote[1501].end 10529.59221875
transcript.pyannote[1502].speaker SPEAKER_29
transcript.pyannote[1502].start 10529.82846875
transcript.pyannote[1502].end 10531.17846875
transcript.pyannote[1503].speaker SPEAKER_29
transcript.pyannote[1503].start 10531.56659375
transcript.pyannote[1503].end 10565.45159375
transcript.pyannote[1504].speaker SPEAKER_38
transcript.pyannote[1504].start 10556.86221875
transcript.pyannote[1504].end 10557.16596875
transcript.pyannote[1505].speaker SPEAKER_29
transcript.pyannote[1505].start 10565.62034375
transcript.pyannote[1505].end 10568.99534375
transcript.pyannote[1506].speaker SPEAKER_29
transcript.pyannote[1506].start 10569.43409375
transcript.pyannote[1506].end 10574.00721875
transcript.pyannote[1507].speaker SPEAKER_29
transcript.pyannote[1507].start 10574.26034375
transcript.pyannote[1507].end 10585.39784375
transcript.pyannote[1508].speaker SPEAKER_37
transcript.pyannote[1508].start 10584.58784375
transcript.pyannote[1508].end 10588.09784375
transcript.pyannote[1509].speaker SPEAKER_29
transcript.pyannote[1509].start 10585.71846875
transcript.pyannote[1509].end 10586.27534375
transcript.pyannote[1510].speaker SPEAKER_29
transcript.pyannote[1510].start 10587.03471875
transcript.pyannote[1510].end 10597.63221875
transcript.pyannote[1511].speaker SPEAKER_29
transcript.pyannote[1511].start 10597.80096875
transcript.pyannote[1511].end 10599.96096875
transcript.pyannote[1512].speaker SPEAKER_40
transcript.pyannote[1512].start 10600.28159375
transcript.pyannote[1512].end 10600.68659375
transcript.pyannote[1513].speaker SPEAKER_29
transcript.pyannote[1513].start 10600.51784375
transcript.pyannote[1513].end 10620.10971875
transcript.pyannote[1514].speaker SPEAKER_37
transcript.pyannote[1514].start 10620.04221875
transcript.pyannote[1514].end 10621.29096875
transcript.pyannote[1515].speaker SPEAKER_37
transcript.pyannote[1515].start 10621.91534375
transcript.pyannote[1515].end 10625.47596875
transcript.pyannote[1516].speaker SPEAKER_29
transcript.pyannote[1516].start 10626.25221875
transcript.pyannote[1516].end 10641.86159375
transcript.pyannote[1517].speaker SPEAKER_29
transcript.pyannote[1517].start 10642.03034375
transcript.pyannote[1517].end 10642.89096875
transcript.pyannote[1518].speaker SPEAKER_19
transcript.pyannote[1518].start 10643.16096875
transcript.pyannote[1518].end 10695.22034375
transcript.pyannote[1519].speaker SPEAKER_19
transcript.pyannote[1519].start 10695.33846875
transcript.pyannote[1519].end 10708.21409375
transcript.pyannote[1520].speaker SPEAKER_00
transcript.pyannote[1520].start 10699.50659375
transcript.pyannote[1520].end 10699.94534375
transcript.pyannote[1521].speaker SPEAKER_00
transcript.pyannote[1521].start 10705.91909375
transcript.pyannote[1521].end 10706.15534375
transcript.pyannote[1522].speaker SPEAKER_19
transcript.pyannote[1522].start 10709.17596875
transcript.pyannote[1522].end 10719.43596875
transcript.pyannote[1523].speaker SPEAKER_37
transcript.pyannote[1523].start 10718.22096875
transcript.pyannote[1523].end 10726.52346875
transcript.pyannote[1524].speaker SPEAKER_37
transcript.pyannote[1524].start 10726.81034375
transcript.pyannote[1524].end 10726.82721875
transcript.pyannote[1525].speaker SPEAKER_19
transcript.pyannote[1525].start 10726.82721875
transcript.pyannote[1525].end 10726.94534375
transcript.pyannote[1526].speaker SPEAKER_37
transcript.pyannote[1526].start 10726.94534375
transcript.pyannote[1526].end 10727.02971875
transcript.pyannote[1527].speaker SPEAKER_19
transcript.pyannote[1527].start 10727.02971875
transcript.pyannote[1527].end 10752.91596875
transcript.pyannote[1528].speaker SPEAKER_37
transcript.pyannote[1528].start 10751.17784375
transcript.pyannote[1528].end 10769.94284375
transcript.pyannote[1529].speaker SPEAKER_29
transcript.pyannote[1529].start 10770.29721875
transcript.pyannote[1529].end 10773.09846875
transcript.pyannote[1530].speaker SPEAKER_29
transcript.pyannote[1530].start 10774.43159375
transcript.pyannote[1530].end 10778.09346875
transcript.pyannote[1531].speaker SPEAKER_29
transcript.pyannote[1531].start 10778.49846875
transcript.pyannote[1531].end 10779.98346875
transcript.pyannote[1532].speaker SPEAKER_19
transcript.pyannote[1532].start 10780.27034375
transcript.pyannote[1532].end 10813.71659375
transcript.pyannote[1533].speaker SPEAKER_38
transcript.pyannote[1533].start 10796.41971875
transcript.pyannote[1533].end 10796.80784375
transcript.pyannote[1534].speaker SPEAKER_38
transcript.pyannote[1534].start 10800.11534375
transcript.pyannote[1534].end 10800.63846875
transcript.pyannote[1535].speaker SPEAKER_37
transcript.pyannote[1535].start 10810.98284375
transcript.pyannote[1535].end 10811.60721875
transcript.pyannote[1536].speaker SPEAKER_37
transcript.pyannote[1536].start 10813.09221875
transcript.pyannote[1536].end 10825.52909375
transcript.pyannote[1537].speaker SPEAKER_37
transcript.pyannote[1537].start 10826.03534375
transcript.pyannote[1537].end 10858.13159375
transcript.pyannote[1538].speaker SPEAKER_29
transcript.pyannote[1538].start 10858.24971875
transcript.pyannote[1538].end 10859.90346875
transcript.pyannote[1539].speaker SPEAKER_29
transcript.pyannote[1539].start 10859.93721875
transcript.pyannote[1539].end 10867.71659375
transcript.pyannote[1540].speaker SPEAKER_29
transcript.pyannote[1540].start 10868.07096875
transcript.pyannote[1540].end 10896.37034375
transcript.pyannote[1541].speaker SPEAKER_38
transcript.pyannote[1541].start 10872.94784375
transcript.pyannote[1541].end 10873.45409375
transcript.pyannote[1542].speaker SPEAKER_38
transcript.pyannote[1542].start 10888.62471875
transcript.pyannote[1542].end 10889.06346875
transcript.pyannote[1543].speaker SPEAKER_37
transcript.pyannote[1543].start 10889.06346875
transcript.pyannote[1543].end 10889.08034375
transcript.pyannote[1544].speaker SPEAKER_37
transcript.pyannote[1544].start 10893.63659375
transcript.pyannote[1544].end 10894.04159375
transcript.pyannote[1545].speaker SPEAKER_37
transcript.pyannote[1545].start 10895.49284375
transcript.pyannote[1545].end 10992.81096875
transcript.pyannote[1546].speaker SPEAKER_29
transcript.pyannote[1546].start 10992.81096875
transcript.pyannote[1546].end 10998.75096875
transcript.pyannote[1547].speaker SPEAKER_38
transcript.pyannote[1547].start 10998.88596875
transcript.pyannote[1547].end 10999.42596875
transcript.pyannote[1548].speaker SPEAKER_29
transcript.pyannote[1548].start 10999.08846875
transcript.pyannote[1548].end 10999.29096875
transcript.pyannote[1549].speaker SPEAKER_29
transcript.pyannote[1549].start 10999.34159375
transcript.pyannote[1549].end 11008.63971875
transcript.pyannote[1550].speaker SPEAKER_37
transcript.pyannote[1550].start 11005.95659375
transcript.pyannote[1550].end 11006.37846875
transcript.pyannote[1551].speaker SPEAKER_37
transcript.pyannote[1551].start 11008.28534375
transcript.pyannote[1551].end 11009.93909375
transcript.pyannote[1552].speaker SPEAKER_29
transcript.pyannote[1552].start 11009.43284375
transcript.pyannote[1552].end 11016.40221875
transcript.pyannote[1553].speaker SPEAKER_37
transcript.pyannote[1553].start 11013.16221875
transcript.pyannote[1553].end 11014.30971875
transcript.pyannote[1554].speaker SPEAKER_37
transcript.pyannote[1554].start 11015.37284375
transcript.pyannote[1554].end 11015.81159375
transcript.pyannote[1555].speaker SPEAKER_37
transcript.pyannote[1555].start 11016.55409375
transcript.pyannote[1555].end 11020.19909375
transcript.pyannote[1556].speaker SPEAKER_29
transcript.pyannote[1556].start 11020.14846875
transcript.pyannote[1556].end 11040.17909375
transcript.pyannote[1557].speaker SPEAKER_37
transcript.pyannote[1557].start 11020.40159375
transcript.pyannote[1557].end 11021.12721875
transcript.pyannote[1558].speaker SPEAKER_38
transcript.pyannote[1558].start 11031.62346875
transcript.pyannote[1558].end 11031.97784375
transcript.pyannote[1559].speaker SPEAKER_38
transcript.pyannote[1559].start 11036.29784375
transcript.pyannote[1559].end 11036.31471875
transcript.pyannote[1560].speaker SPEAKER_37
transcript.pyannote[1560].start 11036.31471875
transcript.pyannote[1560].end 11036.73659375
transcript.pyannote[1561].speaker SPEAKER_37
transcript.pyannote[1561].start 11040.17909375
transcript.pyannote[1561].end 11050.13534375
transcript.pyannote[1562].speaker SPEAKER_29
transcript.pyannote[1562].start 11043.31784375
transcript.pyannote[1562].end 11047.16534375
transcript.pyannote[1563].speaker SPEAKER_37
transcript.pyannote[1563].start 11050.18596875
transcript.pyannote[1563].end 11058.65721875
transcript.pyannote[1564].speaker SPEAKER_29
transcript.pyannote[1564].start 11050.89471875
transcript.pyannote[1564].end 11055.07971875
transcript.pyannote[1565].speaker SPEAKER_29
transcript.pyannote[1565].start 11055.34971875
transcript.pyannote[1565].end 11055.43409375
transcript.pyannote[1566].speaker SPEAKER_29
transcript.pyannote[1566].start 11057.62784375
transcript.pyannote[1566].end 11062.47096875
transcript.pyannote[1567].speaker SPEAKER_37
transcript.pyannote[1567].start 11059.53471875
transcript.pyannote[1567].end 11059.92284375
transcript.pyannote[1568].speaker SPEAKER_07
transcript.pyannote[1568].start 11059.92284375
transcript.pyannote[1568].end 11060.04096875
transcript.pyannote[1569].speaker SPEAKER_07
transcript.pyannote[1569].start 11060.46284375
transcript.pyannote[1569].end 11060.53034375
transcript.pyannote[1570].speaker SPEAKER_37
transcript.pyannote[1570].start 11060.53034375
transcript.pyannote[1570].end 11060.93534375
transcript.pyannote[1571].speaker SPEAKER_37
transcript.pyannote[1571].start 11062.60596875
transcript.pyannote[1571].end 11063.63534375
transcript.pyannote[1572].speaker SPEAKER_07
transcript.pyannote[1572].start 11063.50034375
transcript.pyannote[1572].end 11064.39471875
transcript.pyannote[1573].speaker SPEAKER_07
transcript.pyannote[1573].start 11064.71534375
transcript.pyannote[1573].end 11070.99284375
transcript.pyannote[1574].speaker SPEAKER_06
transcript.pyannote[1574].start 11083.49721875
transcript.pyannote[1574].end 11085.03284375
transcript.pyannote[1575].speaker SPEAKER_38
transcript.pyannote[1575].start 11085.52221875
transcript.pyannote[1575].end 11085.91034375
transcript.pyannote[1576].speaker SPEAKER_06
transcript.pyannote[1576].start 11089.96034375
transcript.pyannote[1576].end 11090.43284375
transcript.pyannote[1577].speaker SPEAKER_06
transcript.pyannote[1577].start 11090.85471875
transcript.pyannote[1577].end 11091.42846875
transcript.pyannote[1578].speaker SPEAKER_06
transcript.pyannote[1578].start 11092.03596875
transcript.pyannote[1578].end 11092.45784375
transcript.pyannote[1579].speaker SPEAKER_06
transcript.pyannote[1579].start 11092.72784375
transcript.pyannote[1579].end 11096.94659375
transcript.pyannote[1580].speaker SPEAKER_06
transcript.pyannote[1580].start 11097.36846875
transcript.pyannote[1580].end 11103.27471875
transcript.pyannote[1581].speaker SPEAKER_06
transcript.pyannote[1581].start 11103.71346875
transcript.pyannote[1581].end 11107.37534375
transcript.pyannote[1582].speaker SPEAKER_06
transcript.pyannote[1582].start 11107.71284375
transcript.pyannote[1582].end 11109.55221875
transcript.pyannote[1583].speaker SPEAKER_06
transcript.pyannote[1583].start 11110.31159375
transcript.pyannote[1583].end 11137.10909375
transcript.pyannote[1584].speaker SPEAKER_29
transcript.pyannote[1584].start 11137.10909375
transcript.pyannote[1584].end 11158.84409375
transcript.pyannote[1585].speaker SPEAKER_06
transcript.pyannote[1585].start 11151.35159375
transcript.pyannote[1585].end 11152.31346875
transcript.pyannote[1586].speaker SPEAKER_29
transcript.pyannote[1586].start 11158.86096875
transcript.pyannote[1586].end 11158.91159375
transcript.pyannote[1587].speaker SPEAKER_06
transcript.pyannote[1587].start 11158.91159375
transcript.pyannote[1587].end 11174.70659375
transcript.pyannote[1588].speaker SPEAKER_38
transcript.pyannote[1588].start 11174.79096875
transcript.pyannote[1588].end 11175.17909375
transcript.pyannote[1589].speaker SPEAKER_06
transcript.pyannote[1589].start 11175.14534375
transcript.pyannote[1589].end 11178.65534375
transcript.pyannote[1590].speaker SPEAKER_06
transcript.pyannote[1590].start 11179.00971875
transcript.pyannote[1590].end 11183.92034375
transcript.pyannote[1591].speaker SPEAKER_06
transcript.pyannote[1591].start 11184.86534375
transcript.pyannote[1591].end 11191.39596875
transcript.pyannote[1592].speaker SPEAKER_06
transcript.pyannote[1592].start 11191.75034375
transcript.pyannote[1592].end 11197.03221875
transcript.pyannote[1593].speaker SPEAKER_38
transcript.pyannote[1593].start 11197.03221875
transcript.pyannote[1593].end 11197.31909375
transcript.pyannote[1594].speaker SPEAKER_06
transcript.pyannote[1594].start 11197.20096875
transcript.pyannote[1594].end 11197.21784375
transcript.pyannote[1595].speaker SPEAKER_06
transcript.pyannote[1595].start 11197.23471875
transcript.pyannote[1595].end 11203.69784375
transcript.pyannote[1596].speaker SPEAKER_29
transcript.pyannote[1596].start 11197.31909375
transcript.pyannote[1596].end 11197.33596875
transcript.pyannote[1597].speaker SPEAKER_29
transcript.pyannote[1597].start 11204.54159375
transcript.pyannote[1597].end 11204.65971875
transcript.pyannote[1598].speaker SPEAKER_29
transcript.pyannote[1598].start 11205.30096875
transcript.pyannote[1598].end 11208.06846875
transcript.pyannote[1599].speaker SPEAKER_28
transcript.pyannote[1599].start 11208.06846875
transcript.pyannote[1599].end 11208.20346875
transcript.pyannote[1600].speaker SPEAKER_29
transcript.pyannote[1600].start 11208.20346875
transcript.pyannote[1600].end 11208.86159375
transcript.pyannote[1601].speaker SPEAKER_06
transcript.pyannote[1601].start 11208.28784375
transcript.pyannote[1601].end 11208.33846875
transcript.pyannote[1602].speaker SPEAKER_28
transcript.pyannote[1602].start 11208.33846875
transcript.pyannote[1602].end 11208.49034375
transcript.pyannote[1603].speaker SPEAKER_06
transcript.pyannote[1603].start 11208.49034375
transcript.pyannote[1603].end 11208.96284375
transcript.pyannote[1604].speaker SPEAKER_28
transcript.pyannote[1604].start 11208.86159375
transcript.pyannote[1604].end 11208.87846875
transcript.pyannote[1605].speaker SPEAKER_28
transcript.pyannote[1605].start 11208.96284375
transcript.pyannote[1605].end 11227.06971875
transcript.pyannote[1606].speaker SPEAKER_06
transcript.pyannote[1606].start 11226.07409375
transcript.pyannote[1606].end 11231.01846875
transcript.pyannote[1607].speaker SPEAKER_28
transcript.pyannote[1607].start 11230.42784375
transcript.pyannote[1607].end 11242.07159375
transcript.pyannote[1608].speaker SPEAKER_06
transcript.pyannote[1608].start 11237.22846875
transcript.pyannote[1608].end 11239.15221875
transcript.pyannote[1609].speaker SPEAKER_06
transcript.pyannote[1609].start 11240.24909375
transcript.pyannote[1609].end 11241.43034375
transcript.pyannote[1610].speaker SPEAKER_06
transcript.pyannote[1610].start 11242.47659375
transcript.pyannote[1610].end 11250.00284375
transcript.pyannote[1611].speaker SPEAKER_06
transcript.pyannote[1611].start 11250.28971875
transcript.pyannote[1611].end 11256.44909375
transcript.pyannote[1612].speaker SPEAKER_06
transcript.pyannote[1612].start 11257.51221875
transcript.pyannote[1612].end 11268.66659375
transcript.pyannote[1613].speaker SPEAKER_06
transcript.pyannote[1613].start 11268.98721875
transcript.pyannote[1613].end 11272.76721875
transcript.pyannote[1614].speaker SPEAKER_06
transcript.pyannote[1614].start 11273.57721875
transcript.pyannote[1614].end 11276.42909375
transcript.pyannote[1615].speaker SPEAKER_06
transcript.pyannote[1615].start 11276.76659375
transcript.pyannote[1615].end 11288.64659375
transcript.pyannote[1616].speaker SPEAKER_29
transcript.pyannote[1616].start 11289.86159375
transcript.pyannote[1616].end 11294.11409375
transcript.pyannote[1617].speaker SPEAKER_29
transcript.pyannote[1617].start 11294.35034375
transcript.pyannote[1617].end 11298.34971875
transcript.pyannote[1618].speaker SPEAKER_29
transcript.pyannote[1618].start 11298.77159375
transcript.pyannote[1618].end 11301.47159375
transcript.pyannote[1619].speaker SPEAKER_29
transcript.pyannote[1619].start 11302.38284375
transcript.pyannote[1619].end 11317.16534375
transcript.pyannote[1620].speaker SPEAKER_06
transcript.pyannote[1620].start 11316.16971875
transcript.pyannote[1620].end 11323.22346875
transcript.pyannote[1621].speaker SPEAKER_06
transcript.pyannote[1621].start 11323.42596875
transcript.pyannote[1621].end 11330.90159375
transcript.pyannote[1622].speaker SPEAKER_06
transcript.pyannote[1622].start 11331.52596875
transcript.pyannote[1622].end 11344.50284375
transcript.pyannote[1623].speaker SPEAKER_06
transcript.pyannote[1623].start 11345.12721875
transcript.pyannote[1623].end 11367.84096875
transcript.pyannote[1624].speaker SPEAKER_06
transcript.pyannote[1624].start 11368.75221875
transcript.pyannote[1624].end 11368.80284375
transcript.pyannote[1625].speaker SPEAKER_28
transcript.pyannote[1625].start 11368.80284375
transcript.pyannote[1625].end 11368.81971875
transcript.pyannote[1626].speaker SPEAKER_06
transcript.pyannote[1626].start 11368.81971875
transcript.pyannote[1626].end 11368.83659375
transcript.pyannote[1627].speaker SPEAKER_28
transcript.pyannote[1627].start 11368.83659375
transcript.pyannote[1627].end 11368.90409375
transcript.pyannote[1628].speaker SPEAKER_06
transcript.pyannote[1628].start 11368.90409375
transcript.pyannote[1628].end 11369.27534375
transcript.pyannote[1629].speaker SPEAKER_28
transcript.pyannote[1629].start 11369.27534375
transcript.pyannote[1629].end 11376.43034375
transcript.pyannote[1630].speaker SPEAKER_06
transcript.pyannote[1630].start 11375.18159375
transcript.pyannote[1630].end 11379.90659375
transcript.pyannote[1631].speaker SPEAKER_28
transcript.pyannote[1631].start 11377.96596875
transcript.pyannote[1631].end 11391.65159375
transcript.pyannote[1632].speaker SPEAKER_06
transcript.pyannote[1632].start 11386.58909375
transcript.pyannote[1632].end 11387.43284375
transcript.pyannote[1633].speaker SPEAKER_06
transcript.pyannote[1633].start 11388.04034375
transcript.pyannote[1633].end 11388.20909375
transcript.pyannote[1634].speaker SPEAKER_06
transcript.pyannote[1634].start 11390.26784375
transcript.pyannote[1634].end 11402.46846875
transcript.pyannote[1635].speaker SPEAKER_06
transcript.pyannote[1635].start 11402.94096875
transcript.pyannote[1635].end 11405.33721875
transcript.pyannote[1636].speaker SPEAKER_06
transcript.pyannote[1636].start 11405.77596875
transcript.pyannote[1636].end 11411.36159375
transcript.pyannote[1637].speaker SPEAKER_06
transcript.pyannote[1637].start 11411.69909375
transcript.pyannote[1637].end 11415.09096875
transcript.pyannote[1638].speaker SPEAKER_06
transcript.pyannote[1638].start 11415.69846875
transcript.pyannote[1638].end 11423.74784375
transcript.pyannote[1639].speaker SPEAKER_29
transcript.pyannote[1639].start 11424.70971875
transcript.pyannote[1639].end 11425.50284375
transcript.pyannote[1640].speaker SPEAKER_29
transcript.pyannote[1640].start 11426.11034375
transcript.pyannote[1640].end 11433.34971875
transcript.pyannote[1641].speaker SPEAKER_29
transcript.pyannote[1641].start 11433.78846875
transcript.pyannote[1641].end 11440.92659375
transcript.pyannote[1642].speaker SPEAKER_06
transcript.pyannote[1642].start 11440.40346875
transcript.pyannote[1642].end 11444.09909375
transcript.pyannote[1643].speaker SPEAKER_29
transcript.pyannote[1643].start 11441.93909375
transcript.pyannote[1643].end 11447.45721875
transcript.pyannote[1644].speaker SPEAKER_06
transcript.pyannote[1644].start 11445.73596875
transcript.pyannote[1644].end 11447.42346875
transcript.pyannote[1645].speaker SPEAKER_06
transcript.pyannote[1645].start 11447.45721875
transcript.pyannote[1645].end 11447.49096875
transcript.pyannote[1646].speaker SPEAKER_29
transcript.pyannote[1646].start 11447.49096875
transcript.pyannote[1646].end 11447.52471875
transcript.pyannote[1647].speaker SPEAKER_06
transcript.pyannote[1647].start 11447.52471875
transcript.pyannote[1647].end 11447.82846875
transcript.pyannote[1648].speaker SPEAKER_29
transcript.pyannote[1648].start 11447.82846875
transcript.pyannote[1648].end 11448.03096875
transcript.pyannote[1649].speaker SPEAKER_06
transcript.pyannote[1649].start 11448.03096875
transcript.pyannote[1649].end 11473.56284375
transcript.pyannote[1650].speaker SPEAKER_29
transcript.pyannote[1650].start 11448.06471875
transcript.pyannote[1650].end 11448.50346875
transcript.pyannote[1651].speaker SPEAKER_06
transcript.pyannote[1651].start 11473.69784375
transcript.pyannote[1651].end 11475.03096875
transcript.pyannote[1652].speaker SPEAKER_06
transcript.pyannote[1652].start 11475.92534375
transcript.pyannote[1652].end 11481.40971875
transcript.pyannote[1653].speaker SPEAKER_06
transcript.pyannote[1653].start 11482.43909375
transcript.pyannote[1653].end 11483.31659375
transcript.pyannote[1654].speaker SPEAKER_06
transcript.pyannote[1654].start 11483.45159375
transcript.pyannote[1654].end 11485.17284375
transcript.pyannote[1655].speaker SPEAKER_06
transcript.pyannote[1655].start 11485.49346875
transcript.pyannote[1655].end 11489.44221875
transcript.pyannote[1656].speaker SPEAKER_06
transcript.pyannote[1656].start 11489.91471875
transcript.pyannote[1656].end 11504.30909375
transcript.pyannote[1657].speaker SPEAKER_06
transcript.pyannote[1657].start 11504.44409375
transcript.pyannote[1657].end 11522.70284375
transcript.pyannote[1658].speaker SPEAKER_29
transcript.pyannote[1658].start 11524.60971875
transcript.pyannote[1658].end 11525.65596875
transcript.pyannote[1659].speaker SPEAKER_29
transcript.pyannote[1659].start 11526.51659375
transcript.pyannote[1659].end 11537.28284375
transcript.pyannote[1660].speaker SPEAKER_06
transcript.pyannote[1660].start 11535.94971875
transcript.pyannote[1660].end 11561.51534375
transcript.pyannote[1661].speaker SPEAKER_06
transcript.pyannote[1661].start 11562.74721875
transcript.pyannote[1661].end 11564.67096875
transcript.pyannote[1662].speaker SPEAKER_06
transcript.pyannote[1662].start 11564.99159375
transcript.pyannote[1662].end 11565.85221875
transcript.pyannote[1663].speaker SPEAKER_06
transcript.pyannote[1663].start 11566.15596875
transcript.pyannote[1663].end 11578.42409375
transcript.pyannote[1664].speaker SPEAKER_29
transcript.pyannote[1664].start 11580.09471875
transcript.pyannote[1664].end 11580.63471875
transcript.pyannote[1665].speaker SPEAKER_29
transcript.pyannote[1665].start 11581.39409375
transcript.pyannote[1665].end 11587.08096875
transcript.pyannote[1666].speaker SPEAKER_06
transcript.pyannote[1666].start 11587.16534375
transcript.pyannote[1666].end 11601.94784375
transcript.pyannote[1667].speaker SPEAKER_29
transcript.pyannote[1667].start 11594.28659375
transcript.pyannote[1667].end 11595.97409375
transcript.pyannote[1668].speaker SPEAKER_29
transcript.pyannote[1668].start 11600.42909375
transcript.pyannote[1668].end 11611.54971875
transcript.pyannote[1669].speaker SPEAKER_06
transcript.pyannote[1669].start 11610.53721875
transcript.pyannote[1669].end 11612.83221875
transcript.pyannote[1670].speaker SPEAKER_06
transcript.pyannote[1670].start 11613.70971875
transcript.pyannote[1670].end 11623.66596875
transcript.pyannote[1671].speaker SPEAKER_29
transcript.pyannote[1671].start 11622.97409375
transcript.pyannote[1671].end 11624.72909375
transcript.pyannote[1672].speaker SPEAKER_06
transcript.pyannote[1672].start 11626.02846875
transcript.pyannote[1672].end 11626.73721875
transcript.pyannote[1673].speaker SPEAKER_06
transcript.pyannote[1673].start 11629.70721875
transcript.pyannote[1673].end 11658.22596875
transcript.pyannote[1674].speaker SPEAKER_28
transcript.pyannote[1674].start 11647.13909375
transcript.pyannote[1674].end 11647.39221875
transcript.pyannote[1675].speaker SPEAKER_06
transcript.pyannote[1675].start 11658.81659375
transcript.pyannote[1675].end 11673.16034375
transcript.pyannote[1676].speaker SPEAKER_29
transcript.pyannote[1676].start 11673.16034375
transcript.pyannote[1676].end 11673.44721875
transcript.pyannote[1677].speaker SPEAKER_06
transcript.pyannote[1677].start 11673.29534375
transcript.pyannote[1677].end 11688.24659375
transcript.pyannote[1678].speaker SPEAKER_29
transcript.pyannote[1678].start 11675.25284375
transcript.pyannote[1678].end 11675.86034375
transcript.pyannote[1679].speaker SPEAKER_06
transcript.pyannote[1679].start 11689.93409375
transcript.pyannote[1679].end 11691.36846875
transcript.pyannote[1680].speaker SPEAKER_06
transcript.pyannote[1680].start 11692.73534375
transcript.pyannote[1680].end 11696.02596875
transcript.pyannote[1681].speaker SPEAKER_06
transcript.pyannote[1681].start 11696.27909375
transcript.pyannote[1681].end 11699.13096875
transcript.pyannote[1682].speaker SPEAKER_06
transcript.pyannote[1682].start 11699.68784375
transcript.pyannote[1682].end 11706.04971875
transcript.pyannote[1683].speaker SPEAKER_06
transcript.pyannote[1683].start 11707.02846875
transcript.pyannote[1683].end 11710.40346875
transcript.pyannote[1684].speaker SPEAKER_06
transcript.pyannote[1684].start 11711.24721875
transcript.pyannote[1684].end 11714.82471875
transcript.pyannote[1685].speaker SPEAKER_06
transcript.pyannote[1685].start 11715.41534375
transcript.pyannote[1685].end 11722.50284375
transcript.pyannote[1686].speaker SPEAKER_06
transcript.pyannote[1686].start 11722.73909375
transcript.pyannote[1686].end 11724.03846875
transcript.pyannote[1687].speaker SPEAKER_06
transcript.pyannote[1687].start 11724.76409375
transcript.pyannote[1687].end 11729.89409375
transcript.pyannote[1688].speaker SPEAKER_29
transcript.pyannote[1688].start 11730.18096875
transcript.pyannote[1688].end 11732.02034375
transcript.pyannote[1689].speaker SPEAKER_29
transcript.pyannote[1689].start 11732.40846875
transcript.pyannote[1689].end 11733.53909375
transcript.pyannote[1690].speaker SPEAKER_34
transcript.pyannote[1690].start 11733.47159375
transcript.pyannote[1690].end 11744.52471875
transcript.pyannote[1691].speaker SPEAKER_06
transcript.pyannote[1691].start 11733.53909375
transcript.pyannote[1691].end 11733.55596875
transcript.pyannote[1692].speaker SPEAKER_06
transcript.pyannote[1692].start 11744.52471875
transcript.pyannote[1692].end 11751.03846875
transcript.pyannote[1693].speaker SPEAKER_06
transcript.pyannote[1693].start 11752.89471875
transcript.pyannote[1693].end 11763.62721875
transcript.pyannote[1694].speaker SPEAKER_06
transcript.pyannote[1694].start 11764.13346875
transcript.pyannote[1694].end 11767.32284375
transcript.pyannote[1695].speaker SPEAKER_34
transcript.pyannote[1695].start 11768.63909375
transcript.pyannote[1695].end 11780.01284375
transcript.pyannote[1696].speaker SPEAKER_06
transcript.pyannote[1696].start 11780.01284375
transcript.pyannote[1696].end 11789.05784375
transcript.pyannote[1697].speaker SPEAKER_06
transcript.pyannote[1697].start 11789.68221875
transcript.pyannote[1697].end 11794.35659375
transcript.pyannote[1698].speaker SPEAKER_06
transcript.pyannote[1698].start 11795.30159375
transcript.pyannote[1698].end 11802.06846875
transcript.pyannote[1699].speaker SPEAKER_06
transcript.pyannote[1699].start 11803.18221875
transcript.pyannote[1699].end 11803.70534375
transcript.pyannote[1700].speaker SPEAKER_06
transcript.pyannote[1700].start 11804.68409375
transcript.pyannote[1700].end 11806.20284375
transcript.pyannote[1701].speaker SPEAKER_06
transcript.pyannote[1701].start 11808.44721875
transcript.pyannote[1701].end 11810.11784375
transcript.pyannote[1702].speaker SPEAKER_06
transcript.pyannote[1702].start 11811.45096875
transcript.pyannote[1702].end 11812.37909375
transcript.pyannote[1703].speaker SPEAKER_07
transcript.pyannote[1703].start 11814.20159375
transcript.pyannote[1703].end 11814.80909375
transcript.pyannote[1704].speaker SPEAKER_29
transcript.pyannote[1704].start 11814.80909375
transcript.pyannote[1704].end 11816.85096875
transcript.pyannote[1705].speaker SPEAKER_07
transcript.pyannote[1705].start 11814.99471875
transcript.pyannote[1705].end 11815.02846875
transcript.pyannote[1706].speaker SPEAKER_08
transcript.pyannote[1706].start 11815.02846875
transcript.pyannote[1706].end 11816.78346875
transcript.pyannote[1707].speaker SPEAKER_29
transcript.pyannote[1707].start 11817.23909375
transcript.pyannote[1707].end 11818.48784375
transcript.pyannote[1708].speaker SPEAKER_08
transcript.pyannote[1708].start 11818.48784375
transcript.pyannote[1708].end 11820.52971875
transcript.pyannote[1709].speaker SPEAKER_00
transcript.pyannote[1709].start 11835.16034375
transcript.pyannote[1709].end 11836.69596875
transcript.pyannote[1710].speaker SPEAKER_00
transcript.pyannote[1710].start 11842.14659375
transcript.pyannote[1710].end 11842.33221875
transcript.pyannote[1711].speaker SPEAKER_29
transcript.pyannote[1711].start 11842.33221875
transcript.pyannote[1711].end 11842.38284375
transcript.pyannote[1712].speaker SPEAKER_00
transcript.pyannote[1712].start 11842.38284375
transcript.pyannote[1712].end 11842.41659375
transcript.pyannote[1713].speaker SPEAKER_29
transcript.pyannote[1713].start 11842.41659375
transcript.pyannote[1713].end 11842.60221875
transcript.pyannote[1714].speaker SPEAKER_00
transcript.pyannote[1714].start 11842.85534375
transcript.pyannote[1714].end 11848.44096875
transcript.pyannote[1715].speaker SPEAKER_00
transcript.pyannote[1715].start 11848.99784375
transcript.pyannote[1715].end 11852.35596875
transcript.pyannote[1716].speaker SPEAKER_05
transcript.pyannote[1716].start 11850.51659375
transcript.pyannote[1716].end 11850.61784375
transcript.pyannote[1717].speaker SPEAKER_25
transcript.pyannote[1717].start 11850.61784375
transcript.pyannote[1717].end 11850.90471875
transcript.pyannote[1718].speaker SPEAKER_00
transcript.pyannote[1718].start 11852.84534375
transcript.pyannote[1718].end 11854.68471875
transcript.pyannote[1719].speaker SPEAKER_05
transcript.pyannote[1719].start 11854.68471875
transcript.pyannote[1719].end 11854.75221875
transcript.pyannote[1720].speaker SPEAKER_00
transcript.pyannote[1720].start 11855.74784375
transcript.pyannote[1720].end 11855.78159375
transcript.pyannote[1721].speaker SPEAKER_05
transcript.pyannote[1721].start 11855.78159375
transcript.pyannote[1721].end 11859.93284375
transcript.pyannote[1722].speaker SPEAKER_05
transcript.pyannote[1722].start 11860.43909375
transcript.pyannote[1722].end 11866.85159375
transcript.pyannote[1723].speaker SPEAKER_05
transcript.pyannote[1723].start 11867.30721875
transcript.pyannote[1723].end 11879.40659375
transcript.pyannote[1724].speaker SPEAKER_00
transcript.pyannote[1724].start 11871.59346875
transcript.pyannote[1724].end 11871.93096875
transcript.pyannote[1725].speaker SPEAKER_05
transcript.pyannote[1725].start 11879.67659375
transcript.pyannote[1725].end 11890.39221875
transcript.pyannote[1726].speaker SPEAKER_40
transcript.pyannote[1726].start 11892.41721875
transcript.pyannote[1726].end 11892.60284375
transcript.pyannote[1727].speaker SPEAKER_05
transcript.pyannote[1727].start 11893.42971875
transcript.pyannote[1727].end 11898.96471875
transcript.pyannote[1728].speaker SPEAKER_40
transcript.pyannote[1728].start 11893.44659375
transcript.pyannote[1728].end 11893.91909375
transcript.pyannote[1729].speaker SPEAKER_29
transcript.pyannote[1729].start 11896.61909375
transcript.pyannote[1729].end 11899.79159375
transcript.pyannote[1730].speaker SPEAKER_29
transcript.pyannote[1730].start 11900.50034375
transcript.pyannote[1730].end 11908.54971875
transcript.pyannote[1731].speaker SPEAKER_29
transcript.pyannote[1731].start 11908.83659375
transcript.pyannote[1731].end 11908.87034375
transcript.pyannote[1732].speaker SPEAKER_05
transcript.pyannote[1732].start 11908.87034375
transcript.pyannote[1732].end 11908.98846875
transcript.pyannote[1733].speaker SPEAKER_29
transcript.pyannote[1733].start 11908.98846875
transcript.pyannote[1733].end 11909.03909375
transcript.pyannote[1734].speaker SPEAKER_05
transcript.pyannote[1734].start 11909.03909375
transcript.pyannote[1734].end 11910.55784375
transcript.pyannote[1735].speaker SPEAKER_05
transcript.pyannote[1735].start 11911.08096875
transcript.pyannote[1735].end 11913.25784375
transcript.pyannote[1736].speaker SPEAKER_05
transcript.pyannote[1736].start 11914.01721875
transcript.pyannote[1736].end 11919.01221875
transcript.pyannote[1737].speaker SPEAKER_05
transcript.pyannote[1737].start 11920.15971875
transcript.pyannote[1737].end 11920.85159375
transcript.pyannote[1738].speaker SPEAKER_05
transcript.pyannote[1738].start 11921.49284375
transcript.pyannote[1738].end 11923.65284375
transcript.pyannote[1739].speaker SPEAKER_05
transcript.pyannote[1739].start 11924.15909375
transcript.pyannote[1739].end 11929.37346875
transcript.pyannote[1740].speaker SPEAKER_29
transcript.pyannote[1740].start 11931.21284375
transcript.pyannote[1740].end 11933.72721875
transcript.pyannote[1741].speaker SPEAKER_29
transcript.pyannote[1741].start 11934.18284375
transcript.pyannote[1741].end 11946.38346875
transcript.pyannote[1742].speaker SPEAKER_05
transcript.pyannote[1742].start 11945.20221875
transcript.pyannote[1742].end 11946.13034375
transcript.pyannote[1743].speaker SPEAKER_05
transcript.pyannote[1743].start 11946.38346875
transcript.pyannote[1743].end 11951.76659375
transcript.pyannote[1744].speaker SPEAKER_29
transcript.pyannote[1744].start 11949.18471875
transcript.pyannote[1744].end 11949.69096875
transcript.pyannote[1745].speaker SPEAKER_29
transcript.pyannote[1745].start 11950.09596875
transcript.pyannote[1745].end 11959.30971875
transcript.pyannote[1746].speaker SPEAKER_29
transcript.pyannote[1746].start 11959.61346875
transcript.pyannote[1746].end 11964.01784375
transcript.pyannote[1747].speaker SPEAKER_29
transcript.pyannote[1747].start 11964.28784375
transcript.pyannote[1747].end 11966.78534375
transcript.pyannote[1748].speaker SPEAKER_29
transcript.pyannote[1748].start 11967.24096875
transcript.pyannote[1748].end 11978.80034375
transcript.pyannote[1749].speaker SPEAKER_00
transcript.pyannote[1749].start 11971.24034375
transcript.pyannote[1749].end 11971.59471875
transcript.pyannote[1750].speaker SPEAKER_05
transcript.pyannote[1750].start 11972.25284375
transcript.pyannote[1750].end 11973.26534375
transcript.pyannote[1751].speaker SPEAKER_05
transcript.pyannote[1751].start 11978.39534375
transcript.pyannote[1751].end 11980.26846875
transcript.pyannote[1752].speaker SPEAKER_05
transcript.pyannote[1752].start 11981.16284375
transcript.pyannote[1752].end 11983.81221875
transcript.pyannote[1753].speaker SPEAKER_05
transcript.pyannote[1753].start 11984.36909375
transcript.pyannote[1753].end 11985.07784375
transcript.pyannote[1754].speaker SPEAKER_29
transcript.pyannote[1754].start 11987.27159375
transcript.pyannote[1754].end 11988.40221875
transcript.pyannote[1755].speaker SPEAKER_29
transcript.pyannote[1755].start 11988.72284375
transcript.pyannote[1755].end 11997.71721875
transcript.pyannote[1756].speaker SPEAKER_05
transcript.pyannote[1756].start 11997.41346875
transcript.pyannote[1756].end 12001.10909375
transcript.pyannote[1757].speaker SPEAKER_29
transcript.pyannote[1757].start 11998.88159375
transcript.pyannote[1757].end 12001.63221875
transcript.pyannote[1758].speaker SPEAKER_05
transcript.pyannote[1758].start 12001.63221875
transcript.pyannote[1758].end 12003.01596875
transcript.pyannote[1759].speaker SPEAKER_05
transcript.pyannote[1759].start 12003.47159375
transcript.pyannote[1759].end 12005.10846875
transcript.pyannote[1760].speaker SPEAKER_05
transcript.pyannote[1760].start 12005.66534375
transcript.pyannote[1760].end 12006.72846875
transcript.pyannote[1761].speaker SPEAKER_05
transcript.pyannote[1761].start 12007.43721875
transcript.pyannote[1761].end 12010.60971875
transcript.pyannote[1762].speaker SPEAKER_05
transcript.pyannote[1762].start 12011.18346875
transcript.pyannote[1762].end 12014.81159375
transcript.pyannote[1763].speaker SPEAKER_05
transcript.pyannote[1763].start 12015.50346875
transcript.pyannote[1763].end 12024.36284375
transcript.pyannote[1764].speaker SPEAKER_05
transcript.pyannote[1764].start 12024.90284375
transcript.pyannote[1764].end 12026.65784375
transcript.pyannote[1765].speaker SPEAKER_05
transcript.pyannote[1765].start 12027.04596875
transcript.pyannote[1765].end 12038.43659375
transcript.pyannote[1766].speaker SPEAKER_05
transcript.pyannote[1766].start 12038.75721875
transcript.pyannote[1766].end 12040.03971875
transcript.pyannote[1767].speaker SPEAKER_05
transcript.pyannote[1767].start 12041.00159375
transcript.pyannote[1767].end 12041.86221875
transcript.pyannote[1768].speaker SPEAKER_05
transcript.pyannote[1768].start 12042.26721875
transcript.pyannote[1768].end 12044.61284375
transcript.pyannote[1769].speaker SPEAKER_05
transcript.pyannote[1769].start 12045.28784375
transcript.pyannote[1769].end 12048.25784375
transcript.pyannote[1770].speaker SPEAKER_05
transcript.pyannote[1770].start 12048.98346875
transcript.pyannote[1770].end 12051.61596875
transcript.pyannote[1771].speaker SPEAKER_05
transcript.pyannote[1771].start 12051.68346875
transcript.pyannote[1771].end 12055.46346875
transcript.pyannote[1772].speaker SPEAKER_05
transcript.pyannote[1772].start 12056.81346875
transcript.pyannote[1772].end 12059.91846875
transcript.pyannote[1773].speaker SPEAKER_05
transcript.pyannote[1773].start 12060.57659375
transcript.pyannote[1773].end 12061.40346875
transcript.pyannote[1774].speaker SPEAKER_05
transcript.pyannote[1774].start 12062.26409375
transcript.pyannote[1774].end 12067.44471875
transcript.pyannote[1775].speaker SPEAKER_05
transcript.pyannote[1775].start 12068.13659375
transcript.pyannote[1775].end 12069.33471875
transcript.pyannote[1776].speaker SPEAKER_05
transcript.pyannote[1776].start 12071.15721875
transcript.pyannote[1776].end 12074.66721875
transcript.pyannote[1777].speaker SPEAKER_05
transcript.pyannote[1777].start 12075.62909375
transcript.pyannote[1777].end 12077.38409375
transcript.pyannote[1778].speaker SPEAKER_05
transcript.pyannote[1778].start 12078.21096875
transcript.pyannote[1778].end 12080.70846875
transcript.pyannote[1779].speaker SPEAKER_29
transcript.pyannote[1779].start 12082.42971875
transcript.pyannote[1779].end 12083.15534375
transcript.pyannote[1780].speaker SPEAKER_29
transcript.pyannote[1780].start 12083.61096875
transcript.pyannote[1780].end 12103.77659375
transcript.pyannote[1781].speaker SPEAKER_05
transcript.pyannote[1781].start 12089.50034375
transcript.pyannote[1781].end 12093.58409375
transcript.pyannote[1782].speaker SPEAKER_05
transcript.pyannote[1782].start 12094.37721875
transcript.pyannote[1782].end 12095.72721875
transcript.pyannote[1783].speaker SPEAKER_27
transcript.pyannote[1783].start 12095.72721875
transcript.pyannote[1783].end 12095.82846875
transcript.pyannote[1784].speaker SPEAKER_05
transcript.pyannote[1784].start 12104.02971875
transcript.pyannote[1784].end 12114.45846875
transcript.pyannote[1785].speaker SPEAKER_05
transcript.pyannote[1785].start 12115.04909375
transcript.pyannote[1785].end 12116.14596875
transcript.pyannote[1786].speaker SPEAKER_05
transcript.pyannote[1786].start 12116.90534375
transcript.pyannote[1786].end 12119.36909375
transcript.pyannote[1787].speaker SPEAKER_05
transcript.pyannote[1787].start 12119.67284375
transcript.pyannote[1787].end 12127.82346875
transcript.pyannote[1788].speaker SPEAKER_05
transcript.pyannote[1788].start 12128.48159375
transcript.pyannote[1788].end 12129.73034375
transcript.pyannote[1789].speaker SPEAKER_05
transcript.pyannote[1789].start 12130.18596875
transcript.pyannote[1789].end 12132.73409375
transcript.pyannote[1790].speaker SPEAKER_05
transcript.pyannote[1790].start 12133.15596875
transcript.pyannote[1790].end 12135.43409375
transcript.pyannote[1791].speaker SPEAKER_05
transcript.pyannote[1791].start 12135.78846875
transcript.pyannote[1791].end 12139.65284375
transcript.pyannote[1792].speaker SPEAKER_05
transcript.pyannote[1792].start 12140.14221875
transcript.pyannote[1792].end 12141.05346875
transcript.pyannote[1793].speaker SPEAKER_05
transcript.pyannote[1793].start 12141.55971875
transcript.pyannote[1793].end 12142.47096875
transcript.pyannote[1794].speaker SPEAKER_05
transcript.pyannote[1794].start 12143.31471875
transcript.pyannote[1794].end 12148.24221875
transcript.pyannote[1795].speaker SPEAKER_05
transcript.pyannote[1795].start 12148.42784375
transcript.pyannote[1795].end 12149.89596875
transcript.pyannote[1796].speaker SPEAKER_05
transcript.pyannote[1796].start 12150.60471875
transcript.pyannote[1796].end 12153.23721875
transcript.pyannote[1797].speaker SPEAKER_05
transcript.pyannote[1797].start 12154.18221875
transcript.pyannote[1797].end 12155.02596875
transcript.pyannote[1798].speaker SPEAKER_05
transcript.pyannote[1798].start 12155.34659375
transcript.pyannote[1798].end 12160.05471875
transcript.pyannote[1799].speaker SPEAKER_05
transcript.pyannote[1799].start 12160.59471875
transcript.pyannote[1799].end 12162.63659375
transcript.pyannote[1800].speaker SPEAKER_05
transcript.pyannote[1800].start 12162.97409375
transcript.pyannote[1800].end 12168.86346875
transcript.pyannote[1801].speaker SPEAKER_05
transcript.pyannote[1801].start 12171.69846875
transcript.pyannote[1801].end 12173.11596875
transcript.pyannote[1802].speaker SPEAKER_05
transcript.pyannote[1802].start 12173.92596875
transcript.pyannote[1802].end 12178.12784375
transcript.pyannote[1803].speaker SPEAKER_05
transcript.pyannote[1803].start 12178.73534375
transcript.pyannote[1803].end 12180.81096875
transcript.pyannote[1804].speaker SPEAKER_05
transcript.pyannote[1804].start 12183.07221875
transcript.pyannote[1804].end 12184.52346875
transcript.pyannote[1805].speaker SPEAKER_29
transcript.pyannote[1805].start 12188.11784375
transcript.pyannote[1805].end 12188.38784375
transcript.pyannote[1806].speaker SPEAKER_29
transcript.pyannote[1806].start 12189.63659375
transcript.pyannote[1806].end 12190.44659375
transcript.pyannote[1807].speaker SPEAKER_29
transcript.pyannote[1807].start 12190.73346875
transcript.pyannote[1807].end 12193.14659375
transcript.pyannote[1808].speaker SPEAKER_05
transcript.pyannote[1808].start 12192.92721875
transcript.pyannote[1808].end 12195.18846875
transcript.pyannote[1809].speaker SPEAKER_05
transcript.pyannote[1809].start 12195.30659375
transcript.pyannote[1809].end 12198.95159375
transcript.pyannote[1810].speaker SPEAKER_05
transcript.pyannote[1810].start 12199.35659375
transcript.pyannote[1810].end 12206.84909375
transcript.pyannote[1811].speaker SPEAKER_05
transcript.pyannote[1811].start 12207.33846875
transcript.pyannote[1811].end 12211.43909375
transcript.pyannote[1812].speaker SPEAKER_05
transcript.pyannote[1812].start 12212.06346875
transcript.pyannote[1812].end 12213.36284375
transcript.pyannote[1813].speaker SPEAKER_05
transcript.pyannote[1813].start 12213.54846875
transcript.pyannote[1813].end 12214.61159375
transcript.pyannote[1814].speaker SPEAKER_05
transcript.pyannote[1814].start 12214.96596875
transcript.pyannote[1814].end 12216.75471875
transcript.pyannote[1815].speaker SPEAKER_05
transcript.pyannote[1815].start 12217.66596875
transcript.pyannote[1815].end 12218.88096875
transcript.pyannote[1816].speaker SPEAKER_05
transcript.pyannote[1816].start 12219.52221875
transcript.pyannote[1816].end 12221.49659375
transcript.pyannote[1817].speaker SPEAKER_05
transcript.pyannote[1817].start 12221.95221875
transcript.pyannote[1817].end 12224.09534375
transcript.pyannote[1818].speaker SPEAKER_05
transcript.pyannote[1818].start 12224.83784375
transcript.pyannote[1818].end 12228.31409375
transcript.pyannote[1819].speaker SPEAKER_05
transcript.pyannote[1819].start 12229.00596875
transcript.pyannote[1819].end 12233.03909375
transcript.pyannote[1820].speaker SPEAKER_05
transcript.pyannote[1820].start 12233.10659375
transcript.pyannote[1820].end 12234.43971875
transcript.pyannote[1821].speaker SPEAKER_05
transcript.pyannote[1821].start 12235.31721875
transcript.pyannote[1821].end 12235.87409375
transcript.pyannote[1822].speaker SPEAKER_05
transcript.pyannote[1822].start 12236.76846875
transcript.pyannote[1822].end 12238.43909375
transcript.pyannote[1823].speaker SPEAKER_05
transcript.pyannote[1823].start 12238.86096875
transcript.pyannote[1823].end 12241.08846875
transcript.pyannote[1824].speaker SPEAKER_05
transcript.pyannote[1824].start 12241.54409375
transcript.pyannote[1824].end 12243.21471875
transcript.pyannote[1825].speaker SPEAKER_05
transcript.pyannote[1825].start 12243.45096875
transcript.pyannote[1825].end 12247.06221875
transcript.pyannote[1826].speaker SPEAKER_05
transcript.pyannote[1826].start 12248.73284375
transcript.pyannote[1826].end 12250.43721875
transcript.pyannote[1827].speaker SPEAKER_05
transcript.pyannote[1827].start 12252.00659375
transcript.pyannote[1827].end 12253.05284375
transcript.pyannote[1828].speaker SPEAKER_05
transcript.pyannote[1828].start 12253.59284375
transcript.pyannote[1828].end 12254.87534375
transcript.pyannote[1829].speaker SPEAKER_05
transcript.pyannote[1829].start 12256.14096875
transcript.pyannote[1829].end 12260.14034375
transcript.pyannote[1830].speaker SPEAKER_29
transcript.pyannote[1830].start 12260.14034375
transcript.pyannote[1830].end 12260.35971875
transcript.pyannote[1831].speaker SPEAKER_05
transcript.pyannote[1831].start 12260.35971875
transcript.pyannote[1831].end 12260.37659375
transcript.pyannote[1832].speaker SPEAKER_05
transcript.pyannote[1832].start 12261.08534375
transcript.pyannote[1832].end 12262.08096875
transcript.pyannote[1833].speaker SPEAKER_05
transcript.pyannote[1833].start 12262.55346875
transcript.pyannote[1833].end 12268.32471875
transcript.pyannote[1834].speaker SPEAKER_05
transcript.pyannote[1834].start 12268.93221875
transcript.pyannote[1834].end 12270.80534375
transcript.pyannote[1835].speaker SPEAKER_19
transcript.pyannote[1835].start 12271.05846875
transcript.pyannote[1835].end 12272.10471875
transcript.pyannote[1836].speaker SPEAKER_19
transcript.pyannote[1836].start 12272.56034375
transcript.pyannote[1836].end 12278.12909375
transcript.pyannote[1837].speaker SPEAKER_05
transcript.pyannote[1837].start 12278.01096875
transcript.pyannote[1837].end 12281.43659375
transcript.pyannote[1838].speaker SPEAKER_19
transcript.pyannote[1838].start 12281.74034375
transcript.pyannote[1838].end 12298.00784375
transcript.pyannote[1839].speaker SPEAKER_05
transcript.pyannote[1839].start 12297.18096875
transcript.pyannote[1839].end 12299.89784375
transcript.pyannote[1840].speaker SPEAKER_19
transcript.pyannote[1840].start 12300.01596875
transcript.pyannote[1840].end 12306.37784375
transcript.pyannote[1841].speaker SPEAKER_05
transcript.pyannote[1841].start 12305.23034375
transcript.pyannote[1841].end 12309.75284375
transcript.pyannote[1842].speaker SPEAKER_05
transcript.pyannote[1842].start 12309.97221875
transcript.pyannote[1842].end 12314.93346875
transcript.pyannote[1843].speaker SPEAKER_19
transcript.pyannote[1843].start 12315.69284375
transcript.pyannote[1843].end 12326.83034375
transcript.pyannote[1844].speaker SPEAKER_19
transcript.pyannote[1844].start 12327.01596875
transcript.pyannote[1844].end 12328.58534375
transcript.pyannote[1845].speaker SPEAKER_05
transcript.pyannote[1845].start 12328.58534375
transcript.pyannote[1845].end 12332.66909375
transcript.pyannote[1846].speaker SPEAKER_05
transcript.pyannote[1846].start 12333.22596875
transcript.pyannote[1846].end 12334.05284375
transcript.pyannote[1847].speaker SPEAKER_05
transcript.pyannote[1847].start 12334.35659375
transcript.pyannote[1847].end 12337.32659375
transcript.pyannote[1848].speaker SPEAKER_05
transcript.pyannote[1848].start 12337.66409375
transcript.pyannote[1848].end 12339.63846875
transcript.pyannote[1849].speaker SPEAKER_05
transcript.pyannote[1849].start 12339.79034375
transcript.pyannote[1849].end 12347.67096875
transcript.pyannote[1850].speaker SPEAKER_05
transcript.pyannote[1850].start 12348.02534375
transcript.pyannote[1850].end 12349.67909375
transcript.pyannote[1851].speaker SPEAKER_05
transcript.pyannote[1851].start 12350.43846875
transcript.pyannote[1851].end 12357.39096875
transcript.pyannote[1852].speaker SPEAKER_05
transcript.pyannote[1852].start 12357.69471875
transcript.pyannote[1852].end 12366.72284375
transcript.pyannote[1853].speaker SPEAKER_29
transcript.pyannote[1853].start 12367.12784375
transcript.pyannote[1853].end 12376.30784375
transcript.pyannote[1854].speaker SPEAKER_05
transcript.pyannote[1854].start 12372.66284375
transcript.pyannote[1854].end 12373.57409375
transcript.pyannote[1855].speaker SPEAKER_05
transcript.pyannote[1855].start 12375.37971875
transcript.pyannote[1855].end 12375.98721875
transcript.pyannote[1856].speaker SPEAKER_05
transcript.pyannote[1856].start 12376.30784375
transcript.pyannote[1856].end 12378.01221875
transcript.pyannote[1857].speaker SPEAKER_07
transcript.pyannote[1857].start 12379.49721875
transcript.pyannote[1857].end 12383.96909375
transcript.pyannote[1858].speaker SPEAKER_08
transcript.pyannote[1858].start 12383.96909375
transcript.pyannote[1858].end 12384.39096875
transcript.pyannote[1859].speaker SPEAKER_03
transcript.pyannote[1859].start 12391.63034375
transcript.pyannote[1859].end 12392.50784375
transcript.pyannote[1860].speaker SPEAKER_03
transcript.pyannote[1860].start 12393.11534375
transcript.pyannote[1860].end 12393.95909375
transcript.pyannote[1861].speaker SPEAKER_03
transcript.pyannote[1861].start 12394.09409375
transcript.pyannote[1861].end 12395.05596875
transcript.pyannote[1862].speaker SPEAKER_25
transcript.pyannote[1862].start 12400.16909375
transcript.pyannote[1862].end 12400.62471875
transcript.pyannote[1863].speaker SPEAKER_03
transcript.pyannote[1863].start 12401.35034375
transcript.pyannote[1863].end 12401.72159375
transcript.pyannote[1864].speaker SPEAKER_03
transcript.pyannote[1864].start 12402.05909375
transcript.pyannote[1864].end 12405.06284375
transcript.pyannote[1865].speaker SPEAKER_03
transcript.pyannote[1865].start 12405.53534375
transcript.pyannote[1865].end 12406.81784375
transcript.pyannote[1866].speaker SPEAKER_03
transcript.pyannote[1866].start 12407.27346875
transcript.pyannote[1866].end 12410.14221875
transcript.pyannote[1867].speaker SPEAKER_03
transcript.pyannote[1867].start 12410.59784375
transcript.pyannote[1867].end 12413.07846875
transcript.pyannote[1868].speaker SPEAKER_03
transcript.pyannote[1868].start 12413.21346875
transcript.pyannote[1868].end 12414.73221875
transcript.pyannote[1869].speaker SPEAKER_03
transcript.pyannote[1869].start 12415.33971875
transcript.pyannote[1869].end 12423.72659375
transcript.pyannote[1870].speaker SPEAKER_03
transcript.pyannote[1870].start 12424.28346875
transcript.pyannote[1870].end 12425.53221875
transcript.pyannote[1871].speaker SPEAKER_03
transcript.pyannote[1871].start 12426.35909375
transcript.pyannote[1871].end 12428.04659375
transcript.pyannote[1872].speaker SPEAKER_03
transcript.pyannote[1872].start 12428.14784375
transcript.pyannote[1872].end 12429.27846875
transcript.pyannote[1873].speaker SPEAKER_03
transcript.pyannote[1873].start 12429.61596875
transcript.pyannote[1873].end 12433.48034375
transcript.pyannote[1874].speaker SPEAKER_03
transcript.pyannote[1874].start 12433.75034375
transcript.pyannote[1874].end 12438.84659375
transcript.pyannote[1875].speaker SPEAKER_03
transcript.pyannote[1875].start 12439.82534375
transcript.pyannote[1875].end 12441.95159375
transcript.pyannote[1876].speaker SPEAKER_29
transcript.pyannote[1876].start 12443.68971875
transcript.pyannote[1876].end 12445.05659375
transcript.pyannote[1877].speaker SPEAKER_03
transcript.pyannote[1877].start 12444.46596875
transcript.pyannote[1877].end 12444.83721875
transcript.pyannote[1878].speaker SPEAKER_29
transcript.pyannote[1878].start 12445.78221875
transcript.pyannote[1878].end 12449.51159375
transcript.pyannote[1879].speaker SPEAKER_03
transcript.pyannote[1879].start 12449.71409375
transcript.pyannote[1879].end 12454.03409375
transcript.pyannote[1880].speaker SPEAKER_29
transcript.pyannote[1880].start 12452.76846875
transcript.pyannote[1880].end 12452.90346875
transcript.pyannote[1881].speaker SPEAKER_29
transcript.pyannote[1881].start 12453.35909375
transcript.pyannote[1881].end 12457.88159375
transcript.pyannote[1882].speaker SPEAKER_03
transcript.pyannote[1882].start 12455.08034375
transcript.pyannote[1882].end 12455.28284375
transcript.pyannote[1883].speaker SPEAKER_03
transcript.pyannote[1883].start 12457.64534375
transcript.pyannote[1883].end 12459.80534375
transcript.pyannote[1884].speaker SPEAKER_29
transcript.pyannote[1884].start 12458.84346875
transcript.pyannote[1884].end 12461.91471875
transcript.pyannote[1885].speaker SPEAKER_03
transcript.pyannote[1885].start 12460.17659375
transcript.pyannote[1885].end 12461.89784375
transcript.pyannote[1886].speaker SPEAKER_03
transcript.pyannote[1886].start 12461.91471875
transcript.pyannote[1886].end 12466.03221875
transcript.pyannote[1887].speaker SPEAKER_03
transcript.pyannote[1887].start 12466.26846875
transcript.pyannote[1887].end 12469.17096875
transcript.pyannote[1888].speaker SPEAKER_03
transcript.pyannote[1888].start 12469.33971875
transcript.pyannote[1888].end 12471.09471875
transcript.pyannote[1889].speaker SPEAKER_03
transcript.pyannote[1889].start 12471.44909375
transcript.pyannote[1889].end 12472.93409375
transcript.pyannote[1890].speaker SPEAKER_03
transcript.pyannote[1890].start 12473.44034375
transcript.pyannote[1890].end 12480.22409375
transcript.pyannote[1891].speaker SPEAKER_29
transcript.pyannote[1891].start 12476.61284375
transcript.pyannote[1891].end 12477.45659375
transcript.pyannote[1892].speaker SPEAKER_29
transcript.pyannote[1892].start 12479.34659375
transcript.pyannote[1892].end 12479.71784375
transcript.pyannote[1893].speaker SPEAKER_29
transcript.pyannote[1893].start 12480.34221875
transcript.pyannote[1893].end 12480.71346875
transcript.pyannote[1894].speaker SPEAKER_03
transcript.pyannote[1894].start 12480.98346875
transcript.pyannote[1894].end 12481.30409375
transcript.pyannote[1895].speaker SPEAKER_03
transcript.pyannote[1895].start 12482.21534375
transcript.pyannote[1895].end 12482.67096875
transcript.pyannote[1896].speaker SPEAKER_03
transcript.pyannote[1896].start 12483.17721875
transcript.pyannote[1896].end 12485.05034375
transcript.pyannote[1897].speaker SPEAKER_03
transcript.pyannote[1897].start 12485.84346875
transcript.pyannote[1897].end 12488.88096875
transcript.pyannote[1898].speaker SPEAKER_03
transcript.pyannote[1898].start 12489.65721875
transcript.pyannote[1898].end 12490.83846875
transcript.pyannote[1899].speaker SPEAKER_03
transcript.pyannote[1899].start 12490.93971875
transcript.pyannote[1899].end 12494.78721875
transcript.pyannote[1900].speaker SPEAKER_03
transcript.pyannote[1900].start 12495.68159375
transcript.pyannote[1900].end 12496.67721875
transcript.pyannote[1901].speaker SPEAKER_03
transcript.pyannote[1901].start 12498.36471875
transcript.pyannote[1901].end 12501.82409375
transcript.pyannote[1902].speaker SPEAKER_03
transcript.pyannote[1902].start 12502.26284375
transcript.pyannote[1902].end 12505.04721875
transcript.pyannote[1903].speaker SPEAKER_03
transcript.pyannote[1903].start 12505.36784375
transcript.pyannote[1903].end 12508.00034375
transcript.pyannote[1904].speaker SPEAKER_29
transcript.pyannote[1904].start 12508.87784375
transcript.pyannote[1904].end 12509.21534375
transcript.pyannote[1905].speaker SPEAKER_03
transcript.pyannote[1905].start 12508.92846875
transcript.pyannote[1905].end 12511.62846875
transcript.pyannote[1906].speaker SPEAKER_29
transcript.pyannote[1906].start 12510.98721875
transcript.pyannote[1906].end 12513.33284375
transcript.pyannote[1907].speaker SPEAKER_03
transcript.pyannote[1907].start 12513.06284375
transcript.pyannote[1907].end 12514.75034375
transcript.pyannote[1908].speaker SPEAKER_29
transcript.pyannote[1908].start 12513.63659375
transcript.pyannote[1908].end 12515.00346875
transcript.pyannote[1909].speaker SPEAKER_03
transcript.pyannote[1909].start 12514.76721875
transcript.pyannote[1909].end 12514.96971875
transcript.pyannote[1910].speaker SPEAKER_03
transcript.pyannote[1910].start 12515.00346875
transcript.pyannote[1910].end 12515.03721875
transcript.pyannote[1911].speaker SPEAKER_29
transcript.pyannote[1911].start 12515.03721875
transcript.pyannote[1911].end 12515.12159375
transcript.pyannote[1912].speaker SPEAKER_03
transcript.pyannote[1912].start 12515.12159375
transcript.pyannote[1912].end 12515.96534375
transcript.pyannote[1913].speaker SPEAKER_29
transcript.pyannote[1913].start 12515.96534375
transcript.pyannote[1913].end 12516.82596875
transcript.pyannote[1914].speaker SPEAKER_03
transcript.pyannote[1914].start 12516.82596875
transcript.pyannote[1914].end 12516.85971875
transcript.pyannote[1915].speaker SPEAKER_29
transcript.pyannote[1915].start 12517.24784375
transcript.pyannote[1915].end 12520.97721875
transcript.pyannote[1916].speaker SPEAKER_29
transcript.pyannote[1916].start 12521.44971875
transcript.pyannote[1916].end 12523.01909375
transcript.pyannote[1917].speaker SPEAKER_29
transcript.pyannote[1917].start 12523.69409375
transcript.pyannote[1917].end 12526.37721875
transcript.pyannote[1918].speaker SPEAKER_29
transcript.pyannote[1918].start 12527.81159375
transcript.pyannote[1918].end 12527.82846875
transcript.pyannote[1919].speaker SPEAKER_03
transcript.pyannote[1919].start 12527.82846875
transcript.pyannote[1919].end 12527.87909375
transcript.pyannote[1920].speaker SPEAKER_29
transcript.pyannote[1920].start 12527.87909375
transcript.pyannote[1920].end 12527.92971875
transcript.pyannote[1921].speaker SPEAKER_03
transcript.pyannote[1921].start 12527.92971875
transcript.pyannote[1921].end 12531.37221875
transcript.pyannote[1922].speaker SPEAKER_29
transcript.pyannote[1922].start 12530.07284375
transcript.pyannote[1922].end 12533.21159375
transcript.pyannote[1923].speaker SPEAKER_03
transcript.pyannote[1923].start 12531.94596875
transcript.pyannote[1923].end 12532.58721875
transcript.pyannote[1924].speaker SPEAKER_03
transcript.pyannote[1924].start 12533.29596875
transcript.pyannote[1924].end 12540.41721875
transcript.pyannote[1925].speaker SPEAKER_03
transcript.pyannote[1925].start 12540.92346875
transcript.pyannote[1925].end 12542.66159375
transcript.pyannote[1926].speaker SPEAKER_29
transcript.pyannote[1926].start 12542.66159375
transcript.pyannote[1926].end 12542.67846875
transcript.pyannote[1927].speaker SPEAKER_03
transcript.pyannote[1927].start 12543.26909375
transcript.pyannote[1927].end 12543.89346875
transcript.pyannote[1928].speaker SPEAKER_29
transcript.pyannote[1928].start 12543.89346875
transcript.pyannote[1928].end 12543.92721875
transcript.pyannote[1929].speaker SPEAKER_03
transcript.pyannote[1929].start 12543.92721875
transcript.pyannote[1929].end 12543.97784375
transcript.pyannote[1930].speaker SPEAKER_29
transcript.pyannote[1930].start 12543.97784375
transcript.pyannote[1930].end 12544.02846875
transcript.pyannote[1931].speaker SPEAKER_03
transcript.pyannote[1931].start 12544.02846875
transcript.pyannote[1931].end 12544.36596875
transcript.pyannote[1932].speaker SPEAKER_29
transcript.pyannote[1932].start 12544.36596875
transcript.pyannote[1932].end 12547.18409375
transcript.pyannote[1933].speaker SPEAKER_29
transcript.pyannote[1933].start 12547.28534375
transcript.pyannote[1933].end 12549.25971875
transcript.pyannote[1934].speaker SPEAKER_03
transcript.pyannote[1934].start 12547.40346875
transcript.pyannote[1934].end 12548.09534375
transcript.pyannote[1935].speaker SPEAKER_03
transcript.pyannote[1935].start 12549.07409375
transcript.pyannote[1935].end 12551.26784375
transcript.pyannote[1936].speaker SPEAKER_03
transcript.pyannote[1936].start 12551.58846875
transcript.pyannote[1936].end 12552.53346875
transcript.pyannote[1937].speaker SPEAKER_03
transcript.pyannote[1937].start 12553.39409375
transcript.pyannote[1937].end 12555.58784375
transcript.pyannote[1938].speaker SPEAKER_03
transcript.pyannote[1938].start 12556.21221875
transcript.pyannote[1938].end 12558.64221875
transcript.pyannote[1939].speaker SPEAKER_03
transcript.pyannote[1939].start 12559.26659375
transcript.pyannote[1939].end 12561.05534375
transcript.pyannote[1940].speaker SPEAKER_03
transcript.pyannote[1940].start 12561.32534375
transcript.pyannote[1940].end 12566.72534375
transcript.pyannote[1941].speaker SPEAKER_03
transcript.pyannote[1941].start 12566.96159375
transcript.pyannote[1941].end 12568.85159375
transcript.pyannote[1942].speaker SPEAKER_03
transcript.pyannote[1942].start 12569.37471875
transcript.pyannote[1942].end 12570.64034375
transcript.pyannote[1943].speaker SPEAKER_03
transcript.pyannote[1943].start 12572.95221875
transcript.pyannote[1943].end 12585.69284375
transcript.pyannote[1944].speaker SPEAKER_00
transcript.pyannote[1944].start 12573.03659375
transcript.pyannote[1944].end 12573.05346875
transcript.pyannote[1945].speaker SPEAKER_38
transcript.pyannote[1945].start 12573.05346875
transcript.pyannote[1945].end 12573.28971875
transcript.pyannote[1946].speaker SPEAKER_00
transcript.pyannote[1946].start 12573.28971875
transcript.pyannote[1946].end 12573.71159375
transcript.pyannote[1947].speaker SPEAKER_38
transcript.pyannote[1947].start 12573.71159375
transcript.pyannote[1947].end 12573.86346875
transcript.pyannote[1948].speaker SPEAKER_00
transcript.pyannote[1948].start 12573.86346875
transcript.pyannote[1948].end 12574.21784375
transcript.pyannote[1949].speaker SPEAKER_03
transcript.pyannote[1949].start 12586.60409375
transcript.pyannote[1949].end 12587.31284375
transcript.pyannote[1950].speaker SPEAKER_29
transcript.pyannote[1950].start 12586.95846875
transcript.pyannote[1950].end 12588.08909375
transcript.pyannote[1951].speaker SPEAKER_18
transcript.pyannote[1951].start 12591.39659375
transcript.pyannote[1951].end 12610.71846875
transcript.pyannote[1952].speaker SPEAKER_00
transcript.pyannote[1952].start 12601.18409375
transcript.pyannote[1952].end 12601.25159375
transcript.pyannote[1953].speaker SPEAKER_38
transcript.pyannote[1953].start 12601.25159375
transcript.pyannote[1953].end 12601.45409375
transcript.pyannote[1954].speaker SPEAKER_03
transcript.pyannote[1954].start 12604.23846875
transcript.pyannote[1954].end 12604.64346875
transcript.pyannote[1955].speaker SPEAKER_03
transcript.pyannote[1955].start 12606.70221875
transcript.pyannote[1955].end 12608.10284375
transcript.pyannote[1956].speaker SPEAKER_03
transcript.pyannote[1956].start 12610.71846875
transcript.pyannote[1956].end 12612.27096875
transcript.pyannote[1957].speaker SPEAKER_03
transcript.pyannote[1957].start 12612.47346875
transcript.pyannote[1957].end 12614.31284375
transcript.pyannote[1958].speaker SPEAKER_03
transcript.pyannote[1958].start 12615.40971875
transcript.pyannote[1958].end 12617.31659375
transcript.pyannote[1959].speaker SPEAKER_18
transcript.pyannote[1959].start 12617.97471875
transcript.pyannote[1959].end 12618.02534375
transcript.pyannote[1960].speaker SPEAKER_03
transcript.pyannote[1960].start 12618.02534375
transcript.pyannote[1960].end 12619.45971875
transcript.pyannote[1961].speaker SPEAKER_18
transcript.pyannote[1961].start 12618.83534375
transcript.pyannote[1961].end 12623.39159375
transcript.pyannote[1962].speaker SPEAKER_03
transcript.pyannote[1962].start 12623.39159375
transcript.pyannote[1962].end 12623.57721875
transcript.pyannote[1963].speaker SPEAKER_18
transcript.pyannote[1963].start 12625.01159375
transcript.pyannote[1963].end 12627.37409375
transcript.pyannote[1964].speaker SPEAKER_03
transcript.pyannote[1964].start 12626.90159375
transcript.pyannote[1964].end 12633.24659375
transcript.pyannote[1965].speaker SPEAKER_03
transcript.pyannote[1965].start 12633.98909375
transcript.pyannote[1965].end 12637.41471875
transcript.pyannote[1966].speaker SPEAKER_03
transcript.pyannote[1966].start 12638.12346875
transcript.pyannote[1966].end 12643.25346875
transcript.pyannote[1967].speaker SPEAKER_03
transcript.pyannote[1967].start 12643.43909375
transcript.pyannote[1967].end 12646.24034375
transcript.pyannote[1968].speaker SPEAKER_03
transcript.pyannote[1968].start 12647.11784375
transcript.pyannote[1968].end 12654.57659375
transcript.pyannote[1969].speaker SPEAKER_03
transcript.pyannote[1969].start 12654.79596875
transcript.pyannote[1969].end 12659.63909375
transcript.pyannote[1970].speaker SPEAKER_03
transcript.pyannote[1970].start 12660.34784375
transcript.pyannote[1970].end 12663.30096875
transcript.pyannote[1971].speaker SPEAKER_03
transcript.pyannote[1971].start 12664.16159375
transcript.pyannote[1971].end 12667.03034375
transcript.pyannote[1972].speaker SPEAKER_03
transcript.pyannote[1972].start 12667.60409375
transcript.pyannote[1972].end 12672.88596875
transcript.pyannote[1973].speaker SPEAKER_03
transcript.pyannote[1973].start 12673.34159375
transcript.pyannote[1973].end 12674.47221875
transcript.pyannote[1974].speaker SPEAKER_03
transcript.pyannote[1974].start 12674.94471875
transcript.pyannote[1974].end 12675.28221875
transcript.pyannote[1975].speaker SPEAKER_03
transcript.pyannote[1975].start 12676.22721875
transcript.pyannote[1975].end 12678.08346875
transcript.pyannote[1976].speaker SPEAKER_03
transcript.pyannote[1976].start 12679.04534375
transcript.pyannote[1976].end 12680.74971875
transcript.pyannote[1977].speaker SPEAKER_03
transcript.pyannote[1977].start 12681.13784375
transcript.pyannote[1977].end 12682.20096875
transcript.pyannote[1978].speaker SPEAKER_03
transcript.pyannote[1978].start 12682.69034375
transcript.pyannote[1978].end 12686.04846875
transcript.pyannote[1979].speaker SPEAKER_29
transcript.pyannote[1979].start 12686.62221875
transcript.pyannote[1979].end 12714.29721875
transcript.pyannote[1980].speaker SPEAKER_03
transcript.pyannote[1980].start 12714.19596875
transcript.pyannote[1980].end 12722.61659375
transcript.pyannote[1981].speaker SPEAKER_29
transcript.pyannote[1981].start 12716.18721875
transcript.pyannote[1981].end 12716.57534375
transcript.pyannote[1982].speaker SPEAKER_29
transcript.pyannote[1982].start 12717.26721875
transcript.pyannote[1982].end 12717.85784375
transcript.pyannote[1983].speaker SPEAKER_03
transcript.pyannote[1983].start 12723.35909375
transcript.pyannote[1983].end 12731.17221875
transcript.pyannote[1984].speaker SPEAKER_29
transcript.pyannote[1984].start 12731.17221875
transcript.pyannote[1984].end 12747.94596875
transcript.pyannote[1985].speaker SPEAKER_38
transcript.pyannote[1985].start 12735.40784375
transcript.pyannote[1985].end 12735.44159375
transcript.pyannote[1986].speaker SPEAKER_03
transcript.pyannote[1986].start 12735.44159375
transcript.pyannote[1986].end 12735.71159375
transcript.pyannote[1987].speaker SPEAKER_03
transcript.pyannote[1987].start 12747.62534375
transcript.pyannote[1987].end 12753.73409375
transcript.pyannote[1988].speaker SPEAKER_29
transcript.pyannote[1988].start 12753.78471875
transcript.pyannote[1988].end 12754.91534375
transcript.pyannote[1989].speaker SPEAKER_29
transcript.pyannote[1989].start 12755.37096875
transcript.pyannote[1989].end 12768.78659375
transcript.pyannote[1990].speaker SPEAKER_03
transcript.pyannote[1990].start 12756.34971875
transcript.pyannote[1990].end 12758.96534375
transcript.pyannote[1991].speaker SPEAKER_29
transcript.pyannote[1991].start 12768.97221875
transcript.pyannote[1991].end 12775.68846875
transcript.pyannote[1992].speaker SPEAKER_03
transcript.pyannote[1992].start 12775.68846875
transcript.pyannote[1992].end 12776.73471875
transcript.pyannote[1993].speaker SPEAKER_29
transcript.pyannote[1993].start 12776.73471875
transcript.pyannote[1993].end 12784.10909375
transcript.pyannote[1994].speaker SPEAKER_03
transcript.pyannote[1994].start 12776.85284375
transcript.pyannote[1994].end 12777.12284375
transcript.pyannote[1995].speaker SPEAKER_03
transcript.pyannote[1995].start 12777.24096875
transcript.pyannote[1995].end 12777.86534375
transcript.pyannote[1996].speaker SPEAKER_03
transcript.pyannote[1996].start 12781.17284375
transcript.pyannote[1996].end 12782.21909375
transcript.pyannote[1997].speaker SPEAKER_03
transcript.pyannote[1997].start 12783.82221875
transcript.pyannote[1997].end 12784.96971875
transcript.pyannote[1998].speaker SPEAKER_29
transcript.pyannote[1998].start 12784.96971875
transcript.pyannote[1998].end 12785.27346875
transcript.pyannote[1999].speaker SPEAKER_03
transcript.pyannote[1999].start 12785.27346875
transcript.pyannote[1999].end 12785.76284375
transcript.pyannote[2000].speaker SPEAKER_29
transcript.pyannote[2000].start 12785.76284375
transcript.pyannote[2000].end 12785.81346875
transcript.pyannote[2001].speaker SPEAKER_03
transcript.pyannote[2001].start 12785.81346875
transcript.pyannote[2001].end 12785.93159375
transcript.pyannote[2002].speaker SPEAKER_29
transcript.pyannote[2002].start 12785.93159375
transcript.pyannote[2002].end 12786.77534375
transcript.pyannote[2003].speaker SPEAKER_29
transcript.pyannote[2003].start 12786.97784375
transcript.pyannote[2003].end 12787.56846875
transcript.pyannote[2004].speaker SPEAKER_29
transcript.pyannote[2004].start 12787.77096875
transcript.pyannote[2004].end 12789.81284375
transcript.pyannote[2005].speaker SPEAKER_29
transcript.pyannote[2005].start 12790.08284375
transcript.pyannote[2005].end 12790.25159375
transcript.pyannote[2006].speaker SPEAKER_03
transcript.pyannote[2006].start 12790.25159375
transcript.pyannote[2006].end 12790.26846875
transcript.pyannote[2007].speaker SPEAKER_29
transcript.pyannote[2007].start 12790.26846875
transcript.pyannote[2007].end 12790.28534375
transcript.pyannote[2008].speaker SPEAKER_03
transcript.pyannote[2008].start 12790.28534375
transcript.pyannote[2008].end 12790.30221875
transcript.pyannote[2009].speaker SPEAKER_29
transcript.pyannote[2009].start 12790.30221875
transcript.pyannote[2009].end 12790.35284375
transcript.pyannote[2010].speaker SPEAKER_03
transcript.pyannote[2010].start 12790.35284375
transcript.pyannote[2010].end 12791.82096875
transcript.pyannote[2011].speaker SPEAKER_29
transcript.pyannote[2011].start 12790.43721875
transcript.pyannote[2011].end 12791.02784375
transcript.pyannote[2012].speaker SPEAKER_29
transcript.pyannote[2012].start 12791.82096875
transcript.pyannote[2012].end 12791.92221875
transcript.pyannote[2013].speaker SPEAKER_29
transcript.pyannote[2013].start 12792.00659375
transcript.pyannote[2013].end 12810.61971875
transcript.pyannote[2014].speaker SPEAKER_29
transcript.pyannote[2014].start 12811.37909375
transcript.pyannote[2014].end 12812.59409375
transcript.pyannote[2015].speaker SPEAKER_29
transcript.pyannote[2015].start 12813.13409375
transcript.pyannote[2015].end 12815.02409375
transcript.pyannote[2016].speaker SPEAKER_03
transcript.pyannote[2016].start 12815.02409375
transcript.pyannote[2016].end 12815.31096875
transcript.pyannote[2017].speaker SPEAKER_29
transcript.pyannote[2017].start 12815.76659375
transcript.pyannote[2017].end 12815.83409375
transcript.pyannote[2018].speaker SPEAKER_03
transcript.pyannote[2018].start 12815.83409375
transcript.pyannote[2018].end 12816.44159375
transcript.pyannote[2019].speaker SPEAKER_29
transcript.pyannote[2019].start 12816.44159375
transcript.pyannote[2019].end 12824.47409375
transcript.pyannote[2020].speaker SPEAKER_03
transcript.pyannote[2020].start 12817.25159375
transcript.pyannote[2020].end 12818.60159375
transcript.pyannote[2021].speaker SPEAKER_03
transcript.pyannote[2021].start 12822.70221875
transcript.pyannote[2021].end 12822.98909375
transcript.pyannote[2022].speaker SPEAKER_03
transcript.pyannote[2022].start 12823.12409375
transcript.pyannote[2022].end 12825.36846875
transcript.pyannote[2023].speaker SPEAKER_29
transcript.pyannote[2023].start 12825.36846875
transcript.pyannote[2023].end 12832.47284375
transcript.pyannote[2024].speaker SPEAKER_29
transcript.pyannote[2024].start 12832.74284375
transcript.pyannote[2024].end 12835.20659375
transcript.pyannote[2025].speaker SPEAKER_29
transcript.pyannote[2025].start 12836.05034375
transcript.pyannote[2025].end 12836.97846875
transcript.pyannote[2026].speaker SPEAKER_03
transcript.pyannote[2026].start 12836.18534375
transcript.pyannote[2026].end 12838.27784375
transcript.pyannote[2027].speaker SPEAKER_29
transcript.pyannote[2027].start 12837.87284375
transcript.pyannote[2027].end 12838.48034375
transcript.pyannote[2028].speaker SPEAKER_03
transcript.pyannote[2028].start 12838.48034375
transcript.pyannote[2028].end 12841.38284375
transcript.pyannote[2029].speaker SPEAKER_03
transcript.pyannote[2029].start 12841.39971875
transcript.pyannote[2029].end 12841.41659375
transcript.pyannote[2030].speaker SPEAKER_29
transcript.pyannote[2030].start 12841.41659375
transcript.pyannote[2030].end 12841.43346875
transcript.pyannote[2031].speaker SPEAKER_38
transcript.pyannote[2031].start 12841.43346875
transcript.pyannote[2031].end 12841.72034375
transcript.pyannote[2032].speaker SPEAKER_29
transcript.pyannote[2032].start 12841.72034375
transcript.pyannote[2032].end 12841.77096875
transcript.pyannote[2033].speaker SPEAKER_03
transcript.pyannote[2033].start 12841.72034375
transcript.pyannote[2033].end 12845.38221875
transcript.pyannote[2034].speaker SPEAKER_03
transcript.pyannote[2034].start 12845.75346875
transcript.pyannote[2034].end 12848.36909375
transcript.pyannote[2035].speaker SPEAKER_03
transcript.pyannote[2035].start 12848.75721875
transcript.pyannote[2035].end 12853.07721875
transcript.pyannote[2036].speaker SPEAKER_29
transcript.pyannote[2036].start 12851.03534375
transcript.pyannote[2036].end 12851.06909375
transcript.pyannote[2037].speaker SPEAKER_38
transcript.pyannote[2037].start 12851.06909375
transcript.pyannote[2037].end 12851.55846875
transcript.pyannote[2038].speaker SPEAKER_29
transcript.pyannote[2038].start 12851.55846875
transcript.pyannote[2038].end 12851.59221875
transcript.pyannote[2039].speaker SPEAKER_03
transcript.pyannote[2039].start 12853.58346875
transcript.pyannote[2039].end 12854.19096875
transcript.pyannote[2040].speaker SPEAKER_03
transcript.pyannote[2040].start 12854.29221875
transcript.pyannote[2040].end 12855.81096875
transcript.pyannote[2041].speaker SPEAKER_03
transcript.pyannote[2041].start 12856.26659375
transcript.pyannote[2041].end 12858.56159375
transcript.pyannote[2042].speaker SPEAKER_03
transcript.pyannote[2042].start 12858.89909375
transcript.pyannote[2042].end 12859.67534375
transcript.pyannote[2043].speaker SPEAKER_03
transcript.pyannote[2043].start 12860.21534375
transcript.pyannote[2043].end 12865.09221875
transcript.pyannote[2044].speaker SPEAKER_29
transcript.pyannote[2044].start 12863.75909375
transcript.pyannote[2044].end 12869.98596875
transcript.pyannote[2045].speaker SPEAKER_03
transcript.pyannote[2045].start 12865.96971875
transcript.pyannote[2045].end 12867.58971875
transcript.pyannote[2046].speaker SPEAKER_03
transcript.pyannote[2046].start 12869.15909375
transcript.pyannote[2046].end 12870.72846875
transcript.pyannote[2047].speaker SPEAKER_29
transcript.pyannote[2047].start 12870.72846875
transcript.pyannote[2047].end 12875.58846875
transcript.pyannote[2048].speaker SPEAKER_03
transcript.pyannote[2048].start 12875.41971875
transcript.pyannote[2048].end 12881.89971875
transcript.pyannote[2049].speaker SPEAKER_29
transcript.pyannote[2049].start 12880.63409375
transcript.pyannote[2049].end 12883.50284375
transcript.pyannote[2050].speaker SPEAKER_07
transcript.pyannote[2050].start 12881.89971875
transcript.pyannote[2050].end 12881.95034375
transcript.pyannote[2051].speaker SPEAKER_03
transcript.pyannote[2051].start 12881.95034375
transcript.pyannote[2051].end 12881.96721875
transcript.pyannote[2052].speaker SPEAKER_07
transcript.pyannote[2052].start 12881.96721875
transcript.pyannote[2052].end 12882.08534375
transcript.pyannote[2053].speaker SPEAKER_07
transcript.pyannote[2053].start 12884.38034375
transcript.pyannote[2053].end 12889.96596875
transcript.pyannote[2054].speaker SPEAKER_21
transcript.pyannote[2054].start 12891.21471875
transcript.pyannote[2054].end 12897.03659375
transcript.pyannote[2055].speaker SPEAKER_21
transcript.pyannote[2055].start 12897.12096875
transcript.pyannote[2055].end 12897.82971875
transcript.pyannote[2056].speaker SPEAKER_21
transcript.pyannote[2056].start 12898.31909375
transcript.pyannote[2056].end 12901.13721875
transcript.pyannote[2057].speaker SPEAKER_38
transcript.pyannote[2057].start 12901.20471875
transcript.pyannote[2057].end 12901.99784375
transcript.pyannote[2058].speaker SPEAKER_38
transcript.pyannote[2058].start 12902.99346875
transcript.pyannote[2058].end 12903.68534375
transcript.pyannote[2059].speaker SPEAKER_21
transcript.pyannote[2059].start 12903.68534375
transcript.pyannote[2059].end 12925.25159375
transcript.pyannote[2060].speaker SPEAKER_38
transcript.pyannote[2060].start 12921.69096875
transcript.pyannote[2060].end 12921.70784375
transcript.pyannote[2061].speaker SPEAKER_29
transcript.pyannote[2061].start 12921.70784375
transcript.pyannote[2061].end 12922.14659375
transcript.pyannote[2062].speaker SPEAKER_29
transcript.pyannote[2062].start 12925.89284375
transcript.pyannote[2062].end 12929.09909375
transcript.pyannote[2063].speaker SPEAKER_21
transcript.pyannote[2063].start 12928.05284375
transcript.pyannote[2063].end 12929.03159375
transcript.pyannote[2064].speaker SPEAKER_21
transcript.pyannote[2064].start 12929.31846875
transcript.pyannote[2064].end 12929.68971875
transcript.pyannote[2065].speaker SPEAKER_19
transcript.pyannote[2065].start 12929.68971875
transcript.pyannote[2065].end 12941.43471875
transcript.pyannote[2066].speaker SPEAKER_19
transcript.pyannote[2066].start 12942.10971875
transcript.pyannote[2066].end 12946.93596875
transcript.pyannote[2067].speaker SPEAKER_21
transcript.pyannote[2067].start 12946.93596875
transcript.pyannote[2067].end 12961.38096875
transcript.pyannote[2068].speaker SPEAKER_19
transcript.pyannote[2068].start 12953.56784375
transcript.pyannote[2068].end 12953.97284375
transcript.pyannote[2069].speaker SPEAKER_00
transcript.pyannote[2069].start 12953.97284375
transcript.pyannote[2069].end 12954.02346875
transcript.pyannote[2070].speaker SPEAKER_19
transcript.pyannote[2070].start 12959.77784375
transcript.pyannote[2070].end 12961.24596875
transcript.pyannote[2071].speaker SPEAKER_21
transcript.pyannote[2071].start 12961.60034375
transcript.pyannote[2071].end 12965.41409375
transcript.pyannote[2072].speaker SPEAKER_19
transcript.pyannote[2072].start 12963.52409375
transcript.pyannote[2072].end 12965.09346875
transcript.pyannote[2073].speaker SPEAKER_19
transcript.pyannote[2073].start 12965.41409375
transcript.pyannote[2073].end 12965.63346875
transcript.pyannote[2074].speaker SPEAKER_21
transcript.pyannote[2074].start 12965.63346875
transcript.pyannote[2074].end 12965.75159375
transcript.pyannote[2075].speaker SPEAKER_19
transcript.pyannote[2075].start 12965.75159375
transcript.pyannote[2075].end 12965.97096875
transcript.pyannote[2076].speaker SPEAKER_21
transcript.pyannote[2076].start 12965.97096875
transcript.pyannote[2076].end 12982.81221875
transcript.pyannote[2077].speaker SPEAKER_19
transcript.pyannote[2077].start 12966.61221875
transcript.pyannote[2077].end 12967.43909375
transcript.pyannote[2078].speaker SPEAKER_19
transcript.pyannote[2078].start 12969.21096875
transcript.pyannote[2078].end 12969.93659375
transcript.pyannote[2079].speaker SPEAKER_21
transcript.pyannote[2079].start 12983.40284375
transcript.pyannote[2079].end 12992.14409375
transcript.pyannote[2080].speaker SPEAKER_19
transcript.pyannote[2080].start 12990.20346875
transcript.pyannote[2080].end 12990.42284375
transcript.pyannote[2081].speaker SPEAKER_21
transcript.pyannote[2081].start 12992.71784375
transcript.pyannote[2081].end 12995.26596875
transcript.pyannote[2082].speaker SPEAKER_19
transcript.pyannote[2082].start 12995.26596875
transcript.pyannote[2082].end 13002.47159375
transcript.pyannote[2083].speaker SPEAKER_21
transcript.pyannote[2083].start 13001.74596875
transcript.pyannote[2083].end 13012.96784375
transcript.pyannote[2084].speaker SPEAKER_38
transcript.pyannote[2084].start 13012.84971875
transcript.pyannote[2084].end 13012.86659375
transcript.pyannote[2085].speaker SPEAKER_29
transcript.pyannote[2085].start 13012.86659375
transcript.pyannote[2085].end 13013.27159375
transcript.pyannote[2086].speaker SPEAKER_21
transcript.pyannote[2086].start 13014.25034375
transcript.pyannote[2086].end 13016.73096875
transcript.pyannote[2087].speaker SPEAKER_29
transcript.pyannote[2087].start 13016.47784375
transcript.pyannote[2087].end 13017.38909375
transcript.pyannote[2088].speaker SPEAKER_21
transcript.pyannote[2088].start 13017.25409375
transcript.pyannote[2088].end 13021.99596875
transcript.pyannote[2089].speaker SPEAKER_29
transcript.pyannote[2089].start 13021.99596875
transcript.pyannote[2089].end 13022.01284375
transcript.pyannote[2090].speaker SPEAKER_21
transcript.pyannote[2090].start 13022.01284375
transcript.pyannote[2090].end 13022.02971875
transcript.pyannote[2091].speaker SPEAKER_38
transcript.pyannote[2091].start 13022.02971875
transcript.pyannote[2091].end 13022.28284375
transcript.pyannote[2092].speaker SPEAKER_21
transcript.pyannote[2092].start 13022.28284375
transcript.pyannote[2092].end 13033.55534375
transcript.pyannote[2093].speaker SPEAKER_38
transcript.pyannote[2093].start 13033.08284375
transcript.pyannote[2093].end 13033.62284375
transcript.pyannote[2094].speaker SPEAKER_21
transcript.pyannote[2094].start 13033.60596875
transcript.pyannote[2094].end 13036.91346875
transcript.pyannote[2095].speaker SPEAKER_21
transcript.pyannote[2095].start 13037.53784375
transcript.pyannote[2095].end 13040.33909375
transcript.pyannote[2096].speaker SPEAKER_21
transcript.pyannote[2096].start 13041.36846875
transcript.pyannote[2096].end 13041.99284375
transcript.pyannote[2097].speaker SPEAKER_21
transcript.pyannote[2097].start 13042.71846875
transcript.pyannote[2097].end 13047.12284375
transcript.pyannote[2098].speaker SPEAKER_29
transcript.pyannote[2098].start 13047.42659375
transcript.pyannote[2098].end 13049.40096875
transcript.pyannote[2099].speaker SPEAKER_21
transcript.pyannote[2099].start 13048.94534375
transcript.pyannote[2099].end 13052.55659375
transcript.pyannote[2100].speaker SPEAKER_21
transcript.pyannote[2100].start 13052.57346875
transcript.pyannote[2100].end 13052.59034375
transcript.pyannote[2101].speaker SPEAKER_21
transcript.pyannote[2101].start 13052.67471875
transcript.pyannote[2101].end 13057.65284375
transcript.pyannote[2102].speaker SPEAKER_29
transcript.pyannote[2102].start 13052.70846875
transcript.pyannote[2102].end 13053.41721875
transcript.pyannote[2103].speaker SPEAKER_29
transcript.pyannote[2103].start 13058.53034375
transcript.pyannote[2103].end 13061.44971875
transcript.pyannote[2104].speaker SPEAKER_21
transcript.pyannote[2104].start 13058.81721875
transcript.pyannote[2104].end 13071.15284375
transcript.pyannote[2105].speaker SPEAKER_21
transcript.pyannote[2105].start 13071.67596875
transcript.pyannote[2105].end 13074.05534375
transcript.pyannote[2106].speaker SPEAKER_21
transcript.pyannote[2106].start 13075.11846875
transcript.pyannote[2106].end 13079.11784375
transcript.pyannote[2107].speaker SPEAKER_38
transcript.pyannote[2107].start 13079.11784375
transcript.pyannote[2107].end 13079.25284375
transcript.pyannote[2108].speaker SPEAKER_21
transcript.pyannote[2108].start 13079.79284375
transcript.pyannote[2108].end 13086.25596875
transcript.pyannote[2109].speaker SPEAKER_21
transcript.pyannote[2109].start 13087.79159375
transcript.pyannote[2109].end 13090.79534375
transcript.pyannote[2110].speaker SPEAKER_21
transcript.pyannote[2110].start 13091.38596875
transcript.pyannote[2110].end 13093.25909375
transcript.pyannote[2111].speaker SPEAKER_21
transcript.pyannote[2111].start 13093.68096875
transcript.pyannote[2111].end 13102.43909375
transcript.pyannote[2112].speaker SPEAKER_21
transcript.pyannote[2112].start 13102.99596875
transcript.pyannote[2112].end 13106.84346875
transcript.pyannote[2113].speaker SPEAKER_21
transcript.pyannote[2113].start 13107.24846875
transcript.pyannote[2113].end 13110.35346875
transcript.pyannote[2114].speaker SPEAKER_21
transcript.pyannote[2114].start 13110.77534375
transcript.pyannote[2114].end 13112.63159375
transcript.pyannote[2115].speaker SPEAKER_29
transcript.pyannote[2115].start 13112.83409375
transcript.pyannote[2115].end 13113.61034375
transcript.pyannote[2116].speaker SPEAKER_21
transcript.pyannote[2116].start 13113.35721875
transcript.pyannote[2116].end 13124.29221875
transcript.pyannote[2117].speaker SPEAKER_21
transcript.pyannote[2117].start 13124.79846875
transcript.pyannote[2117].end 13126.46909375
transcript.pyannote[2118].speaker SPEAKER_21
transcript.pyannote[2118].start 13127.24534375
transcript.pyannote[2118].end 13130.95784375
transcript.pyannote[2119].speaker SPEAKER_21
transcript.pyannote[2119].start 13131.29534375
transcript.pyannote[2119].end 13135.64909375
transcript.pyannote[2120].speaker SPEAKER_21
transcript.pyannote[2120].start 13136.25659375
transcript.pyannote[2120].end 13139.93534375
transcript.pyannote[2121].speaker SPEAKER_21
transcript.pyannote[2121].start 13140.55971875
transcript.pyannote[2121].end 13147.93409375
transcript.pyannote[2122].speaker SPEAKER_21
transcript.pyannote[2122].start 13148.28846875
transcript.pyannote[2122].end 13153.48596875
transcript.pyannote[2123].speaker SPEAKER_29
transcript.pyannote[2123].start 13148.99721875
transcript.pyannote[2123].end 13151.52846875
transcript.pyannote[2124].speaker SPEAKER_29
transcript.pyannote[2124].start 13153.36784375
transcript.pyannote[2124].end 13158.43034375
transcript.pyannote[2125].speaker SPEAKER_21
transcript.pyannote[2125].start 13154.05971875
transcript.pyannote[2125].end 13154.93721875
transcript.pyannote[2126].speaker SPEAKER_08
transcript.pyannote[2126].start 13157.85659375
transcript.pyannote[2126].end 13157.89034375
transcript.pyannote[2127].speaker SPEAKER_07
transcript.pyannote[2127].start 13157.89034375
transcript.pyannote[2127].end 13157.90721875
transcript.pyannote[2128].speaker SPEAKER_08
transcript.pyannote[2128].start 13157.90721875
transcript.pyannote[2128].end 13159.32471875
transcript.pyannote[2129].speaker SPEAKER_08
transcript.pyannote[2129].start 13161.38346875
transcript.pyannote[2129].end 13163.57721875
transcript.pyannote[2130].speaker SPEAKER_33
transcript.pyannote[2130].start 13174.74846875
transcript.pyannote[2130].end 13176.99284375
transcript.pyannote[2131].speaker SPEAKER_33
transcript.pyannote[2131].start 13183.59096875
transcript.pyannote[2131].end 13184.67096875
transcript.pyannote[2132].speaker SPEAKER_33
transcript.pyannote[2132].start 13185.07596875
transcript.pyannote[2132].end 13200.61784375
transcript.pyannote[2133].speaker SPEAKER_33
transcript.pyannote[2133].start 13202.94659375
transcript.pyannote[2133].end 13203.99284375
transcript.pyannote[2134].speaker SPEAKER_28
transcript.pyannote[2134].start 13203.80721875
transcript.pyannote[2134].end 13203.85784375
transcript.pyannote[2135].speaker SPEAKER_28
transcript.pyannote[2135].start 13203.99284375
transcript.pyannote[2135].end 13206.59159375
transcript.pyannote[2136].speaker SPEAKER_33
transcript.pyannote[2136].start 13205.24159375
transcript.pyannote[2136].end 13207.85721875
transcript.pyannote[2137].speaker SPEAKER_33
transcript.pyannote[2137].start 13207.97534375
transcript.pyannote[2137].end 13208.71784375
transcript.pyannote[2138].speaker SPEAKER_33
transcript.pyannote[2138].start 13209.86534375
transcript.pyannote[2138].end 13210.86096875
transcript.pyannote[2139].speaker SPEAKER_33
transcript.pyannote[2139].start 13211.14784375
transcript.pyannote[2139].end 13212.32909375
transcript.pyannote[2140].speaker SPEAKER_33
transcript.pyannote[2140].start 13212.70034375
transcript.pyannote[2140].end 13213.91534375
transcript.pyannote[2141].speaker SPEAKER_33
transcript.pyannote[2141].start 13214.33721875
transcript.pyannote[2141].end 13214.96159375
transcript.pyannote[2142].speaker SPEAKER_28
transcript.pyannote[2142].start 13214.96159375
transcript.pyannote[2142].end 13215.23159375
transcript.pyannote[2143].speaker SPEAKER_38
transcript.pyannote[2143].start 13215.23159375
transcript.pyannote[2143].end 13215.33284375
transcript.pyannote[2144].speaker SPEAKER_28
transcript.pyannote[2144].start 13215.33284375
transcript.pyannote[2144].end 13215.38346875
transcript.pyannote[2145].speaker SPEAKER_33
transcript.pyannote[2145].start 13215.38346875
transcript.pyannote[2145].end 13218.52221875
transcript.pyannote[2146].speaker SPEAKER_38
transcript.pyannote[2146].start 13215.46784375
transcript.pyannote[2146].end 13215.70409375
transcript.pyannote[2147].speaker SPEAKER_28
transcript.pyannote[2147].start 13215.70409375
transcript.pyannote[2147].end 13215.72096875
transcript.pyannote[2148].speaker SPEAKER_38
transcript.pyannote[2148].start 13215.72096875
transcript.pyannote[2148].end 13215.80534375
transcript.pyannote[2149].speaker SPEAKER_33
transcript.pyannote[2149].start 13218.82596875
transcript.pyannote[2149].end 13220.53034375
transcript.pyannote[2150].speaker SPEAKER_33
transcript.pyannote[2150].start 13220.59784375
transcript.pyannote[2150].end 13222.75784375
transcript.pyannote[2151].speaker SPEAKER_33
transcript.pyannote[2151].start 13222.94346875
transcript.pyannote[2151].end 13225.37346875
transcript.pyannote[2152].speaker SPEAKER_33
transcript.pyannote[2152].start 13226.13284375
transcript.pyannote[2152].end 13226.90909375
transcript.pyannote[2153].speaker SPEAKER_33
transcript.pyannote[2153].start 13227.73596875
transcript.pyannote[2153].end 13229.25471875
transcript.pyannote[2154].speaker SPEAKER_33
transcript.pyannote[2154].start 13231.80284375
transcript.pyannote[2154].end 13244.50971875
transcript.pyannote[2155].speaker SPEAKER_33
transcript.pyannote[2155].start 13244.86409375
transcript.pyannote[2155].end 13245.57284375
transcript.pyannote[2156].speaker SPEAKER_33
transcript.pyannote[2156].start 13245.80909375
transcript.pyannote[2156].end 13246.48409375
transcript.pyannote[2157].speaker SPEAKER_33
transcript.pyannote[2157].start 13246.85534375
transcript.pyannote[2157].end 13253.48721875
transcript.pyannote[2158].speaker SPEAKER_33
transcript.pyannote[2158].start 13253.89221875
transcript.pyannote[2158].end 13260.54096875
transcript.pyannote[2159].speaker SPEAKER_33
transcript.pyannote[2159].start 13260.86159375
transcript.pyannote[2159].end 13266.44721875
transcript.pyannote[2160].speaker SPEAKER_33
transcript.pyannote[2160].start 13267.37534375
transcript.pyannote[2160].end 13270.14284375
transcript.pyannote[2161].speaker SPEAKER_29
transcript.pyannote[2161].start 13270.14284375
transcript.pyannote[2161].end 13270.21034375
transcript.pyannote[2162].speaker SPEAKER_33
transcript.pyannote[2162].start 13270.86846875
transcript.pyannote[2162].end 13270.96971875
transcript.pyannote[2163].speaker SPEAKER_29
transcript.pyannote[2163].start 13270.96971875
transcript.pyannote[2163].end 13274.95221875
transcript.pyannote[2164].speaker SPEAKER_33
transcript.pyannote[2164].start 13273.51784375
transcript.pyannote[2164].end 13273.92284375
transcript.pyannote[2165].speaker SPEAKER_33
transcript.pyannote[2165].start 13274.49659375
transcript.pyannote[2165].end 13294.34159375
transcript.pyannote[2166].speaker SPEAKER_29
transcript.pyannote[2166].start 13294.34159375
transcript.pyannote[2166].end 13295.03346875
transcript.pyannote[2167].speaker SPEAKER_33
transcript.pyannote[2167].start 13295.03346875
transcript.pyannote[2167].end 13295.05034375
transcript.pyannote[2168].speaker SPEAKER_29
transcript.pyannote[2168].start 13295.05034375
transcript.pyannote[2168].end 13295.06721875
transcript.pyannote[2169].speaker SPEAKER_33
transcript.pyannote[2169].start 13295.06721875
transcript.pyannote[2169].end 13296.02909375
transcript.pyannote[2170].speaker SPEAKER_33
transcript.pyannote[2170].start 13296.41721875
transcript.pyannote[2170].end 13297.00784375
transcript.pyannote[2171].speaker SPEAKER_33
transcript.pyannote[2171].start 13297.32846875
transcript.pyannote[2171].end 13298.47596875
transcript.pyannote[2172].speaker SPEAKER_33
transcript.pyannote[2172].start 13299.03284375
transcript.pyannote[2172].end 13302.57659375
transcript.pyannote[2173].speaker SPEAKER_33
transcript.pyannote[2173].start 13302.96471875
transcript.pyannote[2173].end 13307.99346875
transcript.pyannote[2174].speaker SPEAKER_33
transcript.pyannote[2174].start 13308.60096875
transcript.pyannote[2174].end 13310.52471875
transcript.pyannote[2175].speaker SPEAKER_33
transcript.pyannote[2175].start 13311.13221875
transcript.pyannote[2175].end 13325.64471875
transcript.pyannote[2176].speaker SPEAKER_33
transcript.pyannote[2176].start 13329.35721875
transcript.pyannote[2176].end 13329.86346875
transcript.pyannote[2177].speaker SPEAKER_33
transcript.pyannote[2177].start 13330.35284375
transcript.pyannote[2177].end 13331.85471875
transcript.pyannote[2178].speaker SPEAKER_29
transcript.pyannote[2178].start 13331.85471875
transcript.pyannote[2178].end 13333.27221875
transcript.pyannote[2179].speaker SPEAKER_33
transcript.pyannote[2179].start 13331.98971875
transcript.pyannote[2179].end 13332.39471875
transcript.pyannote[2180].speaker SPEAKER_33
transcript.pyannote[2180].start 13333.35659375
transcript.pyannote[2180].end 13340.68034375
transcript.pyannote[2181].speaker SPEAKER_33
transcript.pyannote[2181].start 13341.10221875
transcript.pyannote[2181].end 13353.26909375
transcript.pyannote[2182].speaker SPEAKER_33
transcript.pyannote[2182].start 13353.70784375
transcript.pyannote[2182].end 13355.71596875
transcript.pyannote[2183].speaker SPEAKER_33
transcript.pyannote[2183].start 13356.81284375
transcript.pyannote[2183].end 13363.03971875
transcript.pyannote[2184].speaker SPEAKER_33
transcript.pyannote[2184].start 13363.56284375
transcript.pyannote[2184].end 13367.20784375
transcript.pyannote[2185].speaker SPEAKER_33
transcript.pyannote[2185].start 13367.61284375
transcript.pyannote[2185].end 13369.31721875
transcript.pyannote[2186].speaker SPEAKER_33
transcript.pyannote[2186].start 13369.55346875
transcript.pyannote[2186].end 13375.02096875
transcript.pyannote[2187].speaker SPEAKER_33
transcript.pyannote[2187].start 13375.42596875
transcript.pyannote[2187].end 13378.98659375
transcript.pyannote[2188].speaker SPEAKER_33
transcript.pyannote[2188].start 13379.27346875
transcript.pyannote[2188].end 13381.73721875
transcript.pyannote[2189].speaker SPEAKER_33
transcript.pyannote[2189].start 13382.07471875
transcript.pyannote[2189].end 13383.35721875
transcript.pyannote[2190].speaker SPEAKER_33
transcript.pyannote[2190].start 13383.86346875
transcript.pyannote[2190].end 13384.84221875
transcript.pyannote[2191].speaker SPEAKER_33
transcript.pyannote[2191].start 13385.58471875
transcript.pyannote[2191].end 13386.85034375
transcript.pyannote[2192].speaker SPEAKER_33
transcript.pyannote[2192].start 13387.15409375
transcript.pyannote[2192].end 13392.89159375
transcript.pyannote[2193].speaker SPEAKER_33
transcript.pyannote[2193].start 13393.11096875
transcript.pyannote[2193].end 13397.88659375
transcript.pyannote[2194].speaker SPEAKER_33
transcript.pyannote[2194].start 13398.81471875
transcript.pyannote[2194].end 13404.09659375
transcript.pyannote[2195].speaker SPEAKER_29
transcript.pyannote[2195].start 13402.81409375
transcript.pyannote[2195].end 13405.26096875
transcript.pyannote[2196].speaker SPEAKER_33
transcript.pyannote[2196].start 13404.24846875
transcript.pyannote[2196].end 13415.47034375
transcript.pyannote[2197].speaker SPEAKER_29
transcript.pyannote[2197].start 13415.63909375
transcript.pyannote[2197].end 13415.95971875
transcript.pyannote[2198].speaker SPEAKER_33
transcript.pyannote[2198].start 13415.95971875
transcript.pyannote[2198].end 13416.90471875
transcript.pyannote[2199].speaker SPEAKER_33
transcript.pyannote[2199].start 13417.32659375
transcript.pyannote[2199].end 13418.62596875
transcript.pyannote[2200].speaker SPEAKER_33
transcript.pyannote[2200].start 13419.11534375
transcript.pyannote[2200].end 13423.92471875
transcript.pyannote[2201].speaker SPEAKER_33
transcript.pyannote[2201].start 13424.46471875
transcript.pyannote[2201].end 13425.25784375
transcript.pyannote[2202].speaker SPEAKER_33
transcript.pyannote[2202].start 13425.47721875
transcript.pyannote[2202].end 13426.50659375
transcript.pyannote[2203].speaker SPEAKER_33
transcript.pyannote[2203].start 13428.02534375
transcript.pyannote[2203].end 13428.36284375
transcript.pyannote[2204].speaker SPEAKER_33
transcript.pyannote[2204].start 13428.98721875
transcript.pyannote[2204].end 13430.70846875
transcript.pyannote[2205].speaker SPEAKER_33
transcript.pyannote[2205].start 13432.14284375
transcript.pyannote[2205].end 13432.73346875
transcript.pyannote[2206].speaker SPEAKER_33
transcript.pyannote[2206].start 13433.59409375
transcript.pyannote[2206].end 13438.01534375
transcript.pyannote[2207].speaker SPEAKER_33
transcript.pyannote[2207].start 13438.50471875
transcript.pyannote[2207].end 13441.55909375
transcript.pyannote[2208].speaker SPEAKER_33
transcript.pyannote[2208].start 13441.74471875
transcript.pyannote[2208].end 13448.69721875
transcript.pyannote[2209].speaker SPEAKER_33
transcript.pyannote[2209].start 13449.22034375
transcript.pyannote[2209].end 13462.01159375
transcript.pyannote[2210].speaker SPEAKER_29
transcript.pyannote[2210].start 13462.01159375
transcript.pyannote[2210].end 13462.02846875
transcript.pyannote[2211].speaker SPEAKER_29
transcript.pyannote[2211].start 13462.19721875
transcript.pyannote[2211].end 13474.43159375
transcript.pyannote[2212].speaker SPEAKER_33
transcript.pyannote[2212].start 13474.43159375
transcript.pyannote[2212].end 13486.19346875
transcript.pyannote[2213].speaker SPEAKER_29
transcript.pyannote[2213].start 13481.45159375
transcript.pyannote[2213].end 13484.23596875
transcript.pyannote[2214].speaker SPEAKER_33
transcript.pyannote[2214].start 13487.22284375
transcript.pyannote[2214].end 13488.74159375
transcript.pyannote[2215].speaker SPEAKER_29
transcript.pyannote[2215].start 13487.27346875
transcript.pyannote[2215].end 13488.72471875
transcript.pyannote[2216].speaker SPEAKER_29
transcript.pyannote[2216].start 13488.74159375
transcript.pyannote[2216].end 13488.84284375
transcript.pyannote[2217].speaker SPEAKER_33
transcript.pyannote[2217].start 13489.68659375
transcript.pyannote[2217].end 13491.05346875
transcript.pyannote[2218].speaker SPEAKER_33
transcript.pyannote[2218].start 13491.55971875
transcript.pyannote[2218].end 13499.71034375
transcript.pyannote[2219].speaker SPEAKER_33
transcript.pyannote[2219].start 13500.65534375
transcript.pyannote[2219].end 13504.41846875
transcript.pyannote[2220].speaker SPEAKER_33
transcript.pyannote[2220].start 13505.98784375
transcript.pyannote[2220].end 13508.11409375
transcript.pyannote[2221].speaker SPEAKER_33
transcript.pyannote[2221].start 13508.65409375
transcript.pyannote[2221].end 13510.67909375
transcript.pyannote[2222].speaker SPEAKER_33
transcript.pyannote[2222].start 13511.87721875
transcript.pyannote[2222].end 13513.02471875
transcript.pyannote[2223].speaker SPEAKER_33
transcript.pyannote[2223].start 13513.53096875
transcript.pyannote[2223].end 13520.82096875
transcript.pyannote[2224].speaker SPEAKER_33
transcript.pyannote[2224].start 13521.68159375
transcript.pyannote[2224].end 13523.01471875
transcript.pyannote[2225].speaker SPEAKER_33
transcript.pyannote[2225].start 13523.35221875
transcript.pyannote[2225].end 13524.75284375
transcript.pyannote[2226].speaker SPEAKER_33
transcript.pyannote[2226].start 13526.54159375
transcript.pyannote[2226].end 13526.55846875
transcript.pyannote[2227].speaker SPEAKER_02
transcript.pyannote[2227].start 13526.55846875
transcript.pyannote[2227].end 13527.85784375
transcript.pyannote[2228].speaker SPEAKER_33
transcript.pyannote[2228].start 13527.85784375
transcript.pyannote[2228].end 13527.94221875
transcript.pyannote[2229].speaker SPEAKER_02
transcript.pyannote[2229].start 13528.97159375
transcript.pyannote[2229].end 13553.72721875
transcript.pyannote[2230].speaker SPEAKER_33
transcript.pyannote[2230].start 13552.79909375
transcript.pyannote[2230].end 13565.62409375
transcript.pyannote[2231].speaker SPEAKER_33
transcript.pyannote[2231].start 13565.79284375
transcript.pyannote[2231].end 13566.29909375
transcript.pyannote[2232].speaker SPEAKER_33
transcript.pyannote[2232].start 13566.46784375
transcript.pyannote[2232].end 13570.36596875
transcript.pyannote[2233].speaker SPEAKER_33
transcript.pyannote[2233].start 13572.00284375
transcript.pyannote[2233].end 13572.67784375
transcript.pyannote[2234].speaker SPEAKER_33
transcript.pyannote[2234].start 13573.77471875
transcript.pyannote[2234].end 13581.75659375
transcript.pyannote[2235].speaker SPEAKER_33
transcript.pyannote[2235].start 13582.51596875
transcript.pyannote[2235].end 13584.11909375
transcript.pyannote[2236].speaker SPEAKER_02
transcript.pyannote[2236].start 13584.81096875
transcript.pyannote[2236].end 13588.64159375
transcript.pyannote[2237].speaker SPEAKER_33
transcript.pyannote[2237].start 13587.49409375
transcript.pyannote[2237].end 13588.79346875
transcript.pyannote[2238].speaker SPEAKER_33
transcript.pyannote[2238].start 13589.51909375
transcript.pyannote[2238].end 13591.22346875
transcript.pyannote[2239].speaker SPEAKER_33
transcript.pyannote[2239].start 13591.47659375
transcript.pyannote[2239].end 13604.31846875
transcript.pyannote[2240].speaker SPEAKER_33
transcript.pyannote[2240].start 13605.39846875
transcript.pyannote[2240].end 13607.42346875
transcript.pyannote[2241].speaker SPEAKER_33
transcript.pyannote[2241].start 13608.35159375
transcript.pyannote[2241].end 13608.85784375
transcript.pyannote[2242].speaker SPEAKER_33
transcript.pyannote[2242].start 13609.44846875
transcript.pyannote[2242].end 13616.35034375
transcript.pyannote[2243].speaker SPEAKER_33
transcript.pyannote[2243].start 13616.73846875
transcript.pyannote[2243].end 13633.54596875
transcript.pyannote[2244].speaker SPEAKER_33
transcript.pyannote[2244].start 13633.95096875
transcript.pyannote[2244].end 13642.70909375
transcript.pyannote[2245].speaker SPEAKER_33
transcript.pyannote[2245].start 13642.99596875
transcript.pyannote[2245].end 13647.38346875
transcript.pyannote[2246].speaker SPEAKER_33
transcript.pyannote[2246].start 13648.05846875
transcript.pyannote[2246].end 13649.67846875
transcript.pyannote[2247].speaker SPEAKER_02
transcript.pyannote[2247].start 13650.45471875
transcript.pyannote[2247].end 13653.45846875
transcript.pyannote[2248].speaker SPEAKER_02
transcript.pyannote[2248].start 13655.12909375
transcript.pyannote[2248].end 13667.27909375
transcript.pyannote[2249].speaker SPEAKER_00
transcript.pyannote[2249].start 13660.32659375
transcript.pyannote[2249].end 13660.61346875
transcript.pyannote[2250].speaker SPEAKER_42
transcript.pyannote[2250].start 13660.61346875
transcript.pyannote[2250].end 13660.90034375
transcript.pyannote[2251].speaker SPEAKER_00
transcript.pyannote[2251].start 13660.90034375
transcript.pyannote[2251].end 13662.92534375
transcript.pyannote[2252].speaker SPEAKER_33
transcript.pyannote[2252].start 13667.27909375
transcript.pyannote[2252].end 13667.29596875
transcript.pyannote[2253].speaker SPEAKER_02
transcript.pyannote[2253].start 13668.62909375
transcript.pyannote[2253].end 13668.96659375
transcript.pyannote[2254].speaker SPEAKER_33
transcript.pyannote[2254].start 13668.96659375
transcript.pyannote[2254].end 13669.06784375
transcript.pyannote[2255].speaker SPEAKER_33
transcript.pyannote[2255].start 13671.02534375
transcript.pyannote[2255].end 13676.81346875
transcript.pyannote[2256].speaker SPEAKER_33
transcript.pyannote[2256].start 13677.20159375
transcript.pyannote[2256].end 13686.95534375
transcript.pyannote[2257].speaker SPEAKER_33
transcript.pyannote[2257].start 13687.17471875
transcript.pyannote[2257].end 13698.07596875
transcript.pyannote[2258].speaker SPEAKER_33
transcript.pyannote[2258].start 13698.43034375
transcript.pyannote[2258].end 13703.25659375
transcript.pyannote[2259].speaker SPEAKER_29
transcript.pyannote[2259].start 13703.81346875
transcript.pyannote[2259].end 13704.30284375
transcript.pyannote[2260].speaker SPEAKER_33
transcript.pyannote[2260].start 13704.30284375
transcript.pyannote[2260].end 13704.31971875
transcript.pyannote[2261].speaker SPEAKER_29
transcript.pyannote[2261].start 13704.31971875
transcript.pyannote[2261].end 13704.33659375
transcript.pyannote[2262].speaker SPEAKER_33
transcript.pyannote[2262].start 13704.33659375
transcript.pyannote[2262].end 13706.10846875
transcript.pyannote[2263].speaker SPEAKER_29
transcript.pyannote[2263].start 13704.35346875
transcript.pyannote[2263].end 13707.57659375
transcript.pyannote[2264].speaker SPEAKER_33
transcript.pyannote[2264].start 13708.52159375
transcript.pyannote[2264].end 13712.74034375
transcript.pyannote[2265].speaker SPEAKER_29
transcript.pyannote[2265].start 13710.71534375
transcript.pyannote[2265].end 13712.67284375
transcript.pyannote[2266].speaker SPEAKER_33
transcript.pyannote[2266].start 13713.14534375
transcript.pyannote[2266].end 13727.59034375
transcript.pyannote[2267].speaker SPEAKER_33
transcript.pyannote[2267].start 13728.01221875
transcript.pyannote[2267].end 13729.80096875
transcript.pyannote[2268].speaker SPEAKER_33
transcript.pyannote[2268].start 13730.47596875
transcript.pyannote[2268].end 13731.31971875
transcript.pyannote[2269].speaker SPEAKER_08
transcript.pyannote[2269].start 13731.31971875
transcript.pyannote[2269].end 13731.33659375
transcript.pyannote[2270].speaker SPEAKER_08
transcript.pyannote[2270].start 13733.10846875
transcript.pyannote[2270].end 13735.85909375
transcript.pyannote[2271].speaker SPEAKER_08
transcript.pyannote[2271].start 13736.07846875
transcript.pyannote[2271].end 13738.67721875
transcript.pyannote[2272].speaker SPEAKER_21
transcript.pyannote[2272].start 13746.52409375
transcript.pyannote[2272].end 13748.39721875
transcript.pyannote[2273].speaker SPEAKER_42
transcript.pyannote[2273].start 13748.56596875
transcript.pyannote[2273].end 13748.59971875
transcript.pyannote[2274].speaker SPEAKER_40
transcript.pyannote[2274].start 13753.83096875
transcript.pyannote[2274].end 13754.40471875
transcript.pyannote[2275].speaker SPEAKER_21
transcript.pyannote[2275].start 13754.52284375
transcript.pyannote[2275].end 13757.47596875
transcript.pyannote[2276].speaker SPEAKER_38
transcript.pyannote[2276].start 13757.42534375
transcript.pyannote[2276].end 13757.66159375
transcript.pyannote[2277].speaker SPEAKER_40
transcript.pyannote[2277].start 13757.66159375
transcript.pyannote[2277].end 13757.67846875
transcript.pyannote[2278].speaker SPEAKER_21
transcript.pyannote[2278].start 13757.67846875
transcript.pyannote[2278].end 13761.35721875
transcript.pyannote[2279].speaker SPEAKER_21
transcript.pyannote[2279].start 13761.69471875
transcript.pyannote[2279].end 13765.98096875
transcript.pyannote[2280].speaker SPEAKER_21
transcript.pyannote[2280].start 13767.04409375
transcript.pyannote[2280].end 13768.64721875
transcript.pyannote[2281].speaker SPEAKER_29
transcript.pyannote[2281].start 13769.52471875
transcript.pyannote[2281].end 13771.29659375
transcript.pyannote[2282].speaker SPEAKER_29
transcript.pyannote[2282].start 13773.50721875
transcript.pyannote[2282].end 13775.95409375
transcript.pyannote[2283].speaker SPEAKER_21
transcript.pyannote[2283].start 13774.04721875
transcript.pyannote[2283].end 13778.53596875
transcript.pyannote[2284].speaker SPEAKER_21
transcript.pyannote[2284].start 13778.89034375
transcript.pyannote[2284].end 13781.13471875
transcript.pyannote[2285].speaker SPEAKER_29
transcript.pyannote[2285].start 13782.02909375
transcript.pyannote[2285].end 13783.27784375
transcript.pyannote[2286].speaker SPEAKER_04
transcript.pyannote[2286].start 13783.27784375
transcript.pyannote[2286].end 13783.32846875
transcript.pyannote[2287].speaker SPEAKER_04
transcript.pyannote[2287].start 13784.00346875
transcript.pyannote[2287].end 13784.08784375
transcript.pyannote[2288].speaker SPEAKER_04
transcript.pyannote[2288].start 13784.22284375
transcript.pyannote[2288].end 13789.79159375
transcript.pyannote[2289].speaker SPEAKER_29
transcript.pyannote[2289].start 13786.48409375
transcript.pyannote[2289].end 13786.50096875
transcript.pyannote[2290].speaker SPEAKER_21
transcript.pyannote[2290].start 13786.50096875
transcript.pyannote[2290].end 13786.88909375
transcript.pyannote[2291].speaker SPEAKER_21
transcript.pyannote[2291].start 13786.92284375
transcript.pyannote[2291].end 13788.64409375
transcript.pyannote[2292].speaker SPEAKER_21
transcript.pyannote[2292].start 13789.48784375
transcript.pyannote[2292].end 13796.59221875
transcript.pyannote[2293].speaker SPEAKER_38
transcript.pyannote[2293].start 13796.84534375
transcript.pyannote[2293].end 13797.35159375
transcript.pyannote[2294].speaker SPEAKER_21
transcript.pyannote[2294].start 13797.57096875
transcript.pyannote[2294].end 13817.33159375
transcript.pyannote[2295].speaker SPEAKER_21
transcript.pyannote[2295].start 13818.04034375
transcript.pyannote[2295].end 13819.67721875
transcript.pyannote[2296].speaker SPEAKER_21
transcript.pyannote[2296].start 13820.80784375
transcript.pyannote[2296].end 13822.00596875
transcript.pyannote[2297].speaker SPEAKER_21
transcript.pyannote[2297].start 13822.22534375
transcript.pyannote[2297].end 13823.06909375
transcript.pyannote[2298].speaker SPEAKER_38
transcript.pyannote[2298].start 13823.06909375
transcript.pyannote[2298].end 13823.22096875
transcript.pyannote[2299].speaker SPEAKER_21
transcript.pyannote[2299].start 13823.22096875
transcript.pyannote[2299].end 13828.30034375
transcript.pyannote[2300].speaker SPEAKER_21
transcript.pyannote[2300].start 13828.95846875
transcript.pyannote[2300].end 13836.33284375
transcript.pyannote[2301].speaker SPEAKER_21
transcript.pyannote[2301].start 13836.83909375
transcript.pyannote[2301].end 13838.05409375
transcript.pyannote[2302].speaker SPEAKER_21
transcript.pyannote[2302].start 13838.88096875
transcript.pyannote[2302].end 13841.10846875
transcript.pyannote[2303].speaker SPEAKER_21
transcript.pyannote[2303].start 13841.53034375
transcript.pyannote[2303].end 13844.24721875
transcript.pyannote[2304].speaker SPEAKER_29
transcript.pyannote[2304].start 13846.93034375
transcript.pyannote[2304].end 13847.99346875
transcript.pyannote[2305].speaker SPEAKER_21
transcript.pyannote[2305].start 13848.21284375
transcript.pyannote[2305].end 13849.42784375
transcript.pyannote[2306].speaker SPEAKER_21
transcript.pyannote[2306].start 13849.76534375
transcript.pyannote[2306].end 13850.96346875
transcript.pyannote[2307].speaker SPEAKER_21
transcript.pyannote[2307].start 13852.39784375
transcript.pyannote[2307].end 13854.22034375
transcript.pyannote[2308].speaker SPEAKER_21
transcript.pyannote[2308].start 13855.19909375
transcript.pyannote[2308].end 13856.04284375
transcript.pyannote[2309].speaker SPEAKER_21
transcript.pyannote[2309].start 13857.05534375
transcript.pyannote[2309].end 13857.71346875
transcript.pyannote[2310].speaker SPEAKER_21
transcript.pyannote[2310].start 13858.15221875
transcript.pyannote[2310].end 13860.16034375
transcript.pyannote[2311].speaker SPEAKER_21
transcript.pyannote[2311].start 13861.25721875
transcript.pyannote[2311].end 13863.95721875
transcript.pyannote[2312].speaker SPEAKER_21
transcript.pyannote[2312].start 13864.78409375
transcript.pyannote[2312].end 13871.61846875
transcript.pyannote[2313].speaker SPEAKER_21
transcript.pyannote[2313].start 13871.82096875
transcript.pyannote[2313].end 13874.75721875
transcript.pyannote[2314].speaker SPEAKER_21
transcript.pyannote[2314].start 13875.04409375
transcript.pyannote[2314].end 13879.33034375
transcript.pyannote[2315].speaker SPEAKER_21
transcript.pyannote[2315].start 13879.65096875
transcript.pyannote[2315].end 13882.57034375
transcript.pyannote[2316].speaker SPEAKER_21
transcript.pyannote[2316].start 13882.92471875
transcript.pyannote[2316].end 13885.65846875
transcript.pyannote[2317].speaker SPEAKER_21
transcript.pyannote[2317].start 13885.97909375
transcript.pyannote[2317].end 13887.10971875
transcript.pyannote[2318].speaker SPEAKER_21
transcript.pyannote[2318].start 13887.22784375
transcript.pyannote[2318].end 13919.64471875
transcript.pyannote[2319].speaker SPEAKER_21
transcript.pyannote[2319].start 13920.10034375
transcript.pyannote[2319].end 13921.83846875
transcript.pyannote[2320].speaker SPEAKER_21
transcript.pyannote[2320].start 13922.41221875
transcript.pyannote[2320].end 13922.93534375
transcript.pyannote[2321].speaker SPEAKER_21
transcript.pyannote[2321].start 13923.44159375
transcript.pyannote[2321].end 13944.48471875
transcript.pyannote[2322].speaker SPEAKER_29
transcript.pyannote[2322].start 13946.18909375
transcript.pyannote[2322].end 13951.82534375
transcript.pyannote[2323].speaker SPEAKER_29
transcript.pyannote[2323].start 13952.24721875
transcript.pyannote[2323].end 13953.39471875
transcript.pyannote[2324].speaker SPEAKER_29
transcript.pyannote[2324].start 13953.96846875
transcript.pyannote[2324].end 13954.86284375
transcript.pyannote[2325].speaker SPEAKER_29
transcript.pyannote[2325].start 13955.60534375
transcript.pyannote[2325].end 13956.60096875
transcript.pyannote[2326].speaker SPEAKER_29
transcript.pyannote[2326].start 13957.84971875
transcript.pyannote[2326].end 13958.28846875
transcript.pyannote[2327].speaker SPEAKER_29
transcript.pyannote[2327].start 13958.72721875
transcript.pyannote[2327].end 13965.47721875
transcript.pyannote[2328].speaker SPEAKER_21
transcript.pyannote[2328].start 13961.56221875
transcript.pyannote[2328].end 13962.06846875
transcript.pyannote[2329].speaker SPEAKER_21
transcript.pyannote[2329].start 13963.18221875
transcript.pyannote[2329].end 13969.51034375
transcript.pyannote[2330].speaker SPEAKER_29
transcript.pyannote[2330].start 13966.11846875
transcript.pyannote[2330].end 13967.50221875
transcript.pyannote[2331].speaker SPEAKER_29
transcript.pyannote[2331].start 13970.26971875
transcript.pyannote[2331].end 13977.93096875
transcript.pyannote[2332].speaker SPEAKER_21
transcript.pyannote[2332].start 13975.51784375
transcript.pyannote[2332].end 13984.63034375
transcript.pyannote[2333].speaker SPEAKER_29
transcript.pyannote[2333].start 13981.06971875
transcript.pyannote[2333].end 13983.63471875
transcript.pyannote[2334].speaker SPEAKER_21
transcript.pyannote[2334].start 13984.95096875
transcript.pyannote[2334].end 13985.77784375
transcript.pyannote[2335].speaker SPEAKER_21
transcript.pyannote[2335].start 13986.53721875
transcript.pyannote[2335].end 13988.81534375
transcript.pyannote[2336].speaker SPEAKER_21
transcript.pyannote[2336].start 13989.57471875
transcript.pyannote[2336].end 14004.76221875
transcript.pyannote[2337].speaker SPEAKER_38
transcript.pyannote[2337].start 14004.76221875
transcript.pyannote[2337].end 14004.98159375
transcript.pyannote[2338].speaker SPEAKER_21
transcript.pyannote[2338].start 14004.98159375
transcript.pyannote[2338].end 14007.24284375
transcript.pyannote[2339].speaker SPEAKER_21
transcript.pyannote[2339].start 14007.86721875
transcript.pyannote[2339].end 14019.19034375
transcript.pyannote[2340].speaker SPEAKER_21
transcript.pyannote[2340].start 14019.74721875
transcript.pyannote[2340].end 14020.81034375
transcript.pyannote[2341].speaker SPEAKER_21
transcript.pyannote[2341].start 14021.50221875
transcript.pyannote[2341].end 14027.17221875
transcript.pyannote[2342].speaker SPEAKER_21
transcript.pyannote[2342].start 14028.96096875
transcript.pyannote[2342].end 14029.63596875
transcript.pyannote[2343].speaker SPEAKER_21
transcript.pyannote[2343].start 14030.27721875
transcript.pyannote[2343].end 14031.23909375
transcript.pyannote[2344].speaker SPEAKER_21
transcript.pyannote[2344].start 14033.11221875
transcript.pyannote[2344].end 14033.63534375
transcript.pyannote[2345].speaker SPEAKER_21
transcript.pyannote[2345].start 14033.97284375
transcript.pyannote[2345].end 14037.36471875
transcript.pyannote[2346].speaker SPEAKER_21
transcript.pyannote[2346].start 14037.83721875
transcript.pyannote[2346].end 14044.06409375
transcript.pyannote[2347].speaker SPEAKER_21
transcript.pyannote[2347].start 14044.53659375
transcript.pyannote[2347].end 14046.51096875
transcript.pyannote[2348].speaker SPEAKER_21
transcript.pyannote[2348].start 14048.21534375
transcript.pyannote[2348].end 14052.70409375
transcript.pyannote[2349].speaker SPEAKER_21
transcript.pyannote[2349].start 14054.32409375
transcript.pyannote[2349].end 14057.41221875
transcript.pyannote[2350].speaker SPEAKER_21
transcript.pyannote[2350].start 14057.93534375
transcript.pyannote[2350].end 14059.99409375
transcript.pyannote[2351].speaker SPEAKER_21
transcript.pyannote[2351].start 14061.47909375
transcript.pyannote[2351].end 14065.51221875
transcript.pyannote[2352].speaker SPEAKER_21
transcript.pyannote[2352].start 14065.93409375
transcript.pyannote[2352].end 14072.11034375
transcript.pyannote[2353].speaker SPEAKER_21
transcript.pyannote[2353].start 14073.25784375
transcript.pyannote[2353].end 14083.78784375
transcript.pyannote[2354].speaker SPEAKER_38
transcript.pyannote[2354].start 14083.97346875
transcript.pyannote[2354].end 14084.07471875
transcript.pyannote[2355].speaker SPEAKER_21
transcript.pyannote[2355].start 14084.07471875
transcript.pyannote[2355].end 14089.55909375
transcript.pyannote[2356].speaker SPEAKER_38
transcript.pyannote[2356].start 14088.42846875
transcript.pyannote[2356].end 14088.76596875
transcript.pyannote[2357].speaker SPEAKER_36
transcript.pyannote[2357].start 14088.76596875
transcript.pyannote[2357].end 14088.78284375
transcript.pyannote[2358].speaker SPEAKER_21
transcript.pyannote[2358].start 14090.21721875
transcript.pyannote[2358].end 14093.23784375
transcript.pyannote[2359].speaker SPEAKER_21
transcript.pyannote[2359].start 14093.67659375
transcript.pyannote[2359].end 14115.49596875
transcript.pyannote[2360].speaker SPEAKER_09
transcript.pyannote[2360].start 14115.24284375
transcript.pyannote[2360].end 14115.76596875
transcript.pyannote[2361].speaker SPEAKER_21
transcript.pyannote[2361].start 14116.52534375
transcript.pyannote[2361].end 14138.02409375
transcript.pyannote[2362].speaker SPEAKER_21
transcript.pyannote[2362].start 14138.53034375
transcript.pyannote[2362].end 14139.82971875
transcript.pyannote[2363].speaker SPEAKER_21
transcript.pyannote[2363].start 14140.28534375
transcript.pyannote[2363].end 14142.96846875
transcript.pyannote[2364].speaker SPEAKER_21
transcript.pyannote[2364].start 14143.33971875
transcript.pyannote[2364].end 14144.67284375
transcript.pyannote[2365].speaker SPEAKER_21
transcript.pyannote[2365].start 14145.14534375
transcript.pyannote[2365].end 14145.80346875
transcript.pyannote[2366].speaker SPEAKER_21
transcript.pyannote[2366].start 14146.30971875
transcript.pyannote[2366].end 14147.37284375
transcript.pyannote[2367].speaker SPEAKER_21
transcript.pyannote[2367].start 14147.94659375
transcript.pyannote[2367].end 14150.25846875
transcript.pyannote[2368].speaker SPEAKER_21
transcript.pyannote[2368].start 14150.76471875
transcript.pyannote[2368].end 14152.62096875
transcript.pyannote[2369].speaker SPEAKER_21
transcript.pyannote[2369].start 14152.94159375
transcript.pyannote[2369].end 14179.41846875
transcript.pyannote[2370].speaker SPEAKER_21
transcript.pyannote[2370].start 14180.09346875
transcript.pyannote[2370].end 14187.19784375
transcript.pyannote[2371].speaker SPEAKER_21
transcript.pyannote[2371].start 14187.73784375
transcript.pyannote[2371].end 14198.40284375
transcript.pyannote[2372].speaker SPEAKER_21
transcript.pyannote[2372].start 14198.63909375
transcript.pyannote[2372].end 14203.26284375
transcript.pyannote[2373].speaker SPEAKER_21
transcript.pyannote[2373].start 14204.15721875
transcript.pyannote[2373].end 14231.25846875
transcript.pyannote[2374].speaker SPEAKER_29
transcript.pyannote[2374].start 14230.97159375
transcript.pyannote[2374].end 14237.70471875
transcript.pyannote[2375].speaker SPEAKER_21
transcript.pyannote[2375].start 14234.26221875
transcript.pyannote[2375].end 14234.65034375
transcript.pyannote[2376].speaker SPEAKER_21
transcript.pyannote[2376].start 14237.36721875
transcript.pyannote[2376].end 14239.51034375
transcript.pyannote[2377].speaker SPEAKER_29
transcript.pyannote[2377].start 14239.13909375
transcript.pyannote[2377].end 14239.44284375
transcript.pyannote[2378].speaker SPEAKER_07
transcript.pyannote[2378].start 14239.91534375
transcript.pyannote[2378].end 14242.66596875
transcript.pyannote[2379].speaker SPEAKER_08
transcript.pyannote[2379].start 14242.66596875
transcript.pyannote[2379].end 14242.75034375
transcript.pyannote[2380].speaker SPEAKER_08
transcript.pyannote[2380].start 14243.29034375
transcript.pyannote[2380].end 14243.30721875
transcript.pyannote[2381].speaker SPEAKER_07
transcript.pyannote[2381].start 14243.30721875
transcript.pyannote[2381].end 14243.72909375
transcript.pyannote[2382].speaker SPEAKER_08
transcript.pyannote[2382].start 14243.72909375
transcript.pyannote[2382].end 14243.76284375
transcript.pyannote[2383].speaker SPEAKER_08
transcript.pyannote[2383].start 14246.34471875
transcript.pyannote[2383].end 14249.68596875
transcript.pyannote[2384].speaker SPEAKER_31
transcript.pyannote[2384].start 14258.62971875
transcript.pyannote[2384].end 14259.72659375
transcript.pyannote[2385].speaker SPEAKER_31
transcript.pyannote[2385].start 14260.01346875
transcript.pyannote[2385].end 14261.65034375
transcript.pyannote[2386].speaker SPEAKER_29
transcript.pyannote[2386].start 14271.33659375
transcript.pyannote[2386].end 14271.37034375
transcript.pyannote[2387].speaker SPEAKER_31
transcript.pyannote[2387].start 14271.37034375
transcript.pyannote[2387].end 14272.29846875
transcript.pyannote[2388].speaker SPEAKER_29
transcript.pyannote[2388].start 14271.75846875
transcript.pyannote[2388].end 14272.31534375
transcript.pyannote[2389].speaker SPEAKER_31
transcript.pyannote[2389].start 14272.31534375
transcript.pyannote[2389].end 14272.88909375
transcript.pyannote[2390].speaker SPEAKER_29
transcript.pyannote[2390].start 14272.88909375
transcript.pyannote[2390].end 14272.93971875
transcript.pyannote[2391].speaker SPEAKER_31
transcript.pyannote[2391].start 14272.93971875
transcript.pyannote[2391].end 14273.00721875
transcript.pyannote[2392].speaker SPEAKER_31
transcript.pyannote[2392].start 14273.59784375
transcript.pyannote[2392].end 14274.47534375
transcript.pyannote[2393].speaker SPEAKER_31
transcript.pyannote[2393].start 14275.16721875
transcript.pyannote[2393].end 14278.20471875
transcript.pyannote[2394].speaker SPEAKER_31
transcript.pyannote[2394].start 14278.39034375
transcript.pyannote[2394].end 14287.97534375
transcript.pyannote[2395].speaker SPEAKER_31
transcript.pyannote[2395].start 14288.85284375
transcript.pyannote[2395].end 14308.15784375
transcript.pyannote[2396].speaker SPEAKER_31
transcript.pyannote[2396].start 14308.44471875
transcript.pyannote[2396].end 14309.74409375
transcript.pyannote[2397].speaker SPEAKER_31
transcript.pyannote[2397].start 14310.55409375
transcript.pyannote[2397].end 14314.57034375
transcript.pyannote[2398].speaker SPEAKER_31
transcript.pyannote[2398].start 14314.92471875
transcript.pyannote[2398].end 14328.49221875
transcript.pyannote[2399].speaker SPEAKER_29
transcript.pyannote[2399].start 14327.95221875
transcript.pyannote[2399].end 14328.23909375
transcript.pyannote[2400].speaker SPEAKER_29
transcript.pyannote[2400].start 14328.45846875
transcript.pyannote[2400].end 14356.36971875
transcript.pyannote[2401].speaker SPEAKER_31
transcript.pyannote[2401].start 14354.73284375
transcript.pyannote[2401].end 14359.12034375
transcript.pyannote[2402].speaker SPEAKER_29
transcript.pyannote[2402].start 14357.44971875
transcript.pyannote[2402].end 14371.28721875
transcript.pyannote[2403].speaker SPEAKER_31
transcript.pyannote[2403].start 14371.06784375
transcript.pyannote[2403].end 14372.56971875
transcript.pyannote[2404].speaker SPEAKER_31
transcript.pyannote[2404].start 14373.05909375
transcript.pyannote[2404].end 14379.43784375
transcript.pyannote[2405].speaker SPEAKER_31
transcript.pyannote[2405].start 14379.65721875
transcript.pyannote[2405].end 14382.98159375
transcript.pyannote[2406].speaker SPEAKER_31
transcript.pyannote[2406].start 14383.28534375
transcript.pyannote[2406].end 14400.04221875
transcript.pyannote[2407].speaker SPEAKER_31
transcript.pyannote[2407].start 14400.71721875
transcript.pyannote[2407].end 14403.38346875
transcript.pyannote[2408].speaker SPEAKER_29
transcript.pyannote[2408].start 14404.53096875
transcript.pyannote[2408].end 14405.34096875
transcript.pyannote[2409].speaker SPEAKER_29
transcript.pyannote[2409].start 14406.25221875
transcript.pyannote[2409].end 14407.39971875
transcript.pyannote[2410].speaker SPEAKER_29
transcript.pyannote[2410].start 14407.68659375
transcript.pyannote[2410].end 14411.48346875
transcript.pyannote[2411].speaker SPEAKER_29
transcript.pyannote[2411].start 14411.75346875
transcript.pyannote[2411].end 14413.30596875
transcript.pyannote[2412].speaker SPEAKER_29
transcript.pyannote[2412].start 14413.62659375
transcript.pyannote[2412].end 14432.99909375
transcript.pyannote[2413].speaker SPEAKER_31
transcript.pyannote[2413].start 14432.10471875
transcript.pyannote[2413].end 14439.32721875
transcript.pyannote[2414].speaker SPEAKER_31
transcript.pyannote[2414].start 14439.86721875
transcript.pyannote[2414].end 14443.63034375
transcript.pyannote[2415].speaker SPEAKER_31
transcript.pyannote[2415].start 14444.27159375
transcript.pyannote[2415].end 14445.40221875
transcript.pyannote[2416].speaker SPEAKER_29
transcript.pyannote[2416].start 14445.40221875
transcript.pyannote[2416].end 14447.30909375
transcript.pyannote[2417].speaker SPEAKER_29
transcript.pyannote[2417].start 14447.44409375
transcript.pyannote[2417].end 14451.30846875
transcript.pyannote[2418].speaker SPEAKER_29
transcript.pyannote[2418].start 14451.91596875
transcript.pyannote[2418].end 14464.16721875
transcript.pyannote[2419].speaker SPEAKER_31
transcript.pyannote[2419].start 14464.16721875
transcript.pyannote[2419].end 14464.43721875
transcript.pyannote[2420].speaker SPEAKER_29
transcript.pyannote[2420].start 14464.20096875
transcript.pyannote[2420].end 14464.65659375
transcript.pyannote[2421].speaker SPEAKER_31
transcript.pyannote[2421].start 14464.65659375
transcript.pyannote[2421].end 14464.75784375
transcript.pyannote[2422].speaker SPEAKER_29
transcript.pyannote[2422].start 14464.75784375
transcript.pyannote[2422].end 14467.52534375
transcript.pyannote[2423].speaker SPEAKER_31
transcript.pyannote[2423].start 14464.92659375
transcript.pyannote[2423].end 14465.83784375
transcript.pyannote[2424].speaker SPEAKER_31
transcript.pyannote[2424].start 14466.39471875
transcript.pyannote[2424].end 14469.43221875
transcript.pyannote[2425].speaker SPEAKER_29
transcript.pyannote[2425].start 14468.01471875
transcript.pyannote[2425].end 14468.58846875
transcript.pyannote[2426].speaker SPEAKER_31
transcript.pyannote[2426].start 14470.07346875
transcript.pyannote[2426].end 14475.81096875
transcript.pyannote[2427].speaker SPEAKER_29
transcript.pyannote[2427].start 14473.31346875
transcript.pyannote[2427].end 14475.05159375
transcript.pyannote[2428].speaker SPEAKER_29
transcript.pyannote[2428].start 14475.86159375
transcript.pyannote[2428].end 14483.55659375
transcript.pyannote[2429].speaker SPEAKER_31
transcript.pyannote[2429].start 14484.18096875
transcript.pyannote[2429].end 14484.92346875
transcript.pyannote[2430].speaker SPEAKER_31
transcript.pyannote[2430].start 14485.41284375
transcript.pyannote[2430].end 14487.70784375
transcript.pyannote[2431].speaker SPEAKER_31
transcript.pyannote[2431].start 14488.43346875
transcript.pyannote[2431].end 14492.66909375
transcript.pyannote[2432].speaker SPEAKER_29
transcript.pyannote[2432].start 14492.66909375
transcript.pyannote[2432].end 14512.02471875
transcript.pyannote[2433].speaker SPEAKER_31
transcript.pyannote[2433].start 14496.70221875
transcript.pyannote[2433].end 14498.42346875
transcript.pyannote[2434].speaker SPEAKER_31
transcript.pyannote[2434].start 14502.70971875
transcript.pyannote[2434].end 14503.62096875
transcript.pyannote[2435].speaker SPEAKER_31
transcript.pyannote[2435].start 14506.37159375
transcript.pyannote[2435].end 14507.08034375
transcript.pyannote[2436].speaker SPEAKER_31
transcript.pyannote[2436].start 14512.02471875
transcript.pyannote[2436].end 14515.95659375
transcript.pyannote[2437].speaker SPEAKER_29
transcript.pyannote[2437].start 14514.85971875
transcript.pyannote[2437].end 14519.95596875
transcript.pyannote[2438].speaker SPEAKER_31
transcript.pyannote[2438].start 14518.06596875
transcript.pyannote[2438].end 14522.70659375
transcript.pyannote[2439].speaker SPEAKER_31
transcript.pyannote[2439].start 14522.97659375
transcript.pyannote[2439].end 14523.48284375
transcript.pyannote[2440].speaker SPEAKER_31
transcript.pyannote[2440].start 14524.12409375
transcript.pyannote[2440].end 14528.51159375
transcript.pyannote[2441].speaker SPEAKER_31
transcript.pyannote[2441].start 14528.91659375
transcript.pyannote[2441].end 14529.84471875
transcript.pyannote[2442].speaker SPEAKER_29
transcript.pyannote[2442].start 14532.54471875
transcript.pyannote[2442].end 14534.21534375
transcript.pyannote[2443].speaker SPEAKER_31
transcript.pyannote[2443].start 14534.21534375
transcript.pyannote[2443].end 14534.35034375
transcript.pyannote[2444].speaker SPEAKER_31
transcript.pyannote[2444].start 14534.36721875
transcript.pyannote[2444].end 14534.38409375
transcript.pyannote[2445].speaker SPEAKER_29
transcript.pyannote[2445].start 14534.87346875
transcript.pyannote[2445].end 14534.89034375
transcript.pyannote[2446].speaker SPEAKER_31
transcript.pyannote[2446].start 14534.89034375
transcript.pyannote[2446].end 14539.04159375
transcript.pyannote[2447].speaker SPEAKER_29
transcript.pyannote[2447].start 14535.21096875
transcript.pyannote[2447].end 14535.68346875
transcript.pyannote[2448].speaker SPEAKER_29
transcript.pyannote[2448].start 14538.31596875
transcript.pyannote[2448].end 14540.12159375
transcript.pyannote[2449].speaker SPEAKER_31
transcript.pyannote[2449].start 14539.83471875
transcript.pyannote[2449].end 14550.12846875
transcript.pyannote[2450].speaker SPEAKER_31
transcript.pyannote[2450].start 14550.41534375
transcript.pyannote[2450].end 14568.69096875
transcript.pyannote[2451].speaker SPEAKER_31
transcript.pyannote[2451].start 14572.16721875
transcript.pyannote[2451].end 14579.62596875
transcript.pyannote[2452].speaker SPEAKER_31
transcript.pyannote[2452].start 14580.18284375
transcript.pyannote[2452].end 14580.75659375
transcript.pyannote[2453].speaker SPEAKER_31
transcript.pyannote[2453].start 14580.82409375
transcript.pyannote[2453].end 14590.52721875
transcript.pyannote[2454].speaker SPEAKER_29
transcript.pyannote[2454].start 14590.52721875
transcript.pyannote[2454].end 14590.74659375
transcript.pyannote[2455].speaker SPEAKER_31
transcript.pyannote[2455].start 14590.74659375
transcript.pyannote[2455].end 14596.43346875
transcript.pyannote[2456].speaker SPEAKER_29
transcript.pyannote[2456].start 14595.69096875
transcript.pyannote[2456].end 14603.82471875
transcript.pyannote[2457].speaker SPEAKER_29
transcript.pyannote[2457].start 14604.01034375
transcript.pyannote[2457].end 14609.29221875
transcript.pyannote[2458].speaker SPEAKER_31
transcript.pyannote[2458].start 14607.95909375
transcript.pyannote[2458].end 14610.38909375
transcript.pyannote[2459].speaker SPEAKER_29
transcript.pyannote[2459].start 14609.91659375
transcript.pyannote[2459].end 14611.19909375
transcript.pyannote[2460].speaker SPEAKER_31
transcript.pyannote[2460].start 14611.06409375
transcript.pyannote[2460].end 14618.87721875
transcript.pyannote[2461].speaker SPEAKER_29
transcript.pyannote[2461].start 14616.59909375
transcript.pyannote[2461].end 14621.66159375
transcript.pyannote[2462].speaker SPEAKER_31
transcript.pyannote[2462].start 14621.44221875
transcript.pyannote[2462].end 14623.23096875
transcript.pyannote[2463].speaker SPEAKER_29
transcript.pyannote[2463].start 14622.72471875
transcript.pyannote[2463].end 14634.23346875
transcript.pyannote[2464].speaker SPEAKER_29
transcript.pyannote[2464].start 14634.85784375
transcript.pyannote[2464].end 14636.41034375
transcript.pyannote[2465].speaker SPEAKER_31
transcript.pyannote[2465].start 14635.80284375
transcript.pyannote[2465].end 14637.84471875
transcript.pyannote[2466].speaker SPEAKER_29
transcript.pyannote[2466].start 14636.96721875
transcript.pyannote[2466].end 14644.39221875
transcript.pyannote[2467].speaker SPEAKER_31
transcript.pyannote[2467].start 14644.22346875
transcript.pyannote[2467].end 14665.28346875
transcript.pyannote[2468].speaker SPEAKER_29
transcript.pyannote[2468].start 14660.72721875
transcript.pyannote[2468].end 14660.99721875
transcript.pyannote[2469].speaker SPEAKER_29
transcript.pyannote[2469].start 14662.16159375
transcript.pyannote[2469].end 14668.62471875
transcript.pyannote[2470].speaker SPEAKER_31
transcript.pyannote[2470].start 14668.21971875
transcript.pyannote[2470].end 14674.68284375
transcript.pyannote[2471].speaker SPEAKER_29
transcript.pyannote[2471].start 14670.68346875
transcript.pyannote[2471].end 14671.67909375
transcript.pyannote[2472].speaker SPEAKER_31
transcript.pyannote[2472].start 14675.15534375
transcript.pyannote[2472].end 14676.74159375
transcript.pyannote[2473].speaker SPEAKER_31
transcript.pyannote[2473].start 14677.07909375
transcript.pyannote[2473].end 14680.85909375
transcript.pyannote[2474].speaker SPEAKER_31
transcript.pyannote[2474].start 14681.16284375
transcript.pyannote[2474].end 14688.13221875
transcript.pyannote[2475].speaker SPEAKER_31
transcript.pyannote[2475].start 14688.70596875
transcript.pyannote[2475].end 14692.99221875
transcript.pyannote[2476].speaker SPEAKER_29
transcript.pyannote[2476].start 14692.78971875
transcript.pyannote[2476].end 14699.91096875
transcript.pyannote[2477].speaker SPEAKER_29
transcript.pyannote[2477].start 14700.29909375
transcript.pyannote[2477].end 14703.25221875
transcript.pyannote[2478].speaker SPEAKER_31
transcript.pyannote[2478].start 14702.59409375
transcript.pyannote[2478].end 14712.88784375
transcript.pyannote[2479].speaker SPEAKER_29
transcript.pyannote[2479].start 14710.98096875
transcript.pyannote[2479].end 14714.22096875
transcript.pyannote[2480].speaker SPEAKER_29
transcript.pyannote[2480].start 14714.57534375
transcript.pyannote[2480].end 14721.64596875
transcript.pyannote[2481].speaker SPEAKER_29
transcript.pyannote[2481].start 14722.05096875
transcript.pyannote[2481].end 14726.42159375
transcript.pyannote[2482].speaker SPEAKER_31
transcript.pyannote[2482].start 14725.42596875
transcript.pyannote[2482].end 14727.48471875
transcript.pyannote[2483].speaker SPEAKER_29
transcript.pyannote[2483].start 14727.07971875
transcript.pyannote[2483].end 14729.79659375
transcript.pyannote[2484].speaker SPEAKER_29
transcript.pyannote[2484].start 14730.53909375
transcript.pyannote[2484].end 14739.49971875
transcript.pyannote[2485].speaker SPEAKER_31
transcript.pyannote[2485].start 14737.08659375
transcript.pyannote[2485].end 14743.38096875
transcript.pyannote[2486].speaker SPEAKER_29
transcript.pyannote[2486].start 14740.64721875
transcript.pyannote[2486].end 14741.17034375
transcript.pyannote[2487].speaker SPEAKER_29
transcript.pyannote[2487].start 14744.02221875
transcript.pyannote[2487].end 14746.09784375
transcript.pyannote[2488].speaker SPEAKER_29
transcript.pyannote[2488].start 14746.48596875
transcript.pyannote[2488].end 14747.49846875
transcript.pyannote[2489].speaker SPEAKER_31
transcript.pyannote[2489].start 14747.49846875
transcript.pyannote[2489].end 14750.11409375
transcript.pyannote[2490].speaker SPEAKER_29
transcript.pyannote[2490].start 14749.30409375
transcript.pyannote[2490].end 14755.73346875
transcript.pyannote[2491].speaker SPEAKER_31
transcript.pyannote[2491].start 14753.75909375
transcript.pyannote[2491].end 14764.35659375
transcript.pyannote[2492].speaker SPEAKER_29
transcript.pyannote[2492].start 14756.29034375
transcript.pyannote[2492].end 14756.67846875
transcript.pyannote[2493].speaker SPEAKER_29
transcript.pyannote[2493].start 14759.81721875
transcript.pyannote[2493].end 14760.37409375
transcript.pyannote[2494].speaker SPEAKER_29
transcript.pyannote[2494].start 14763.31034375
transcript.pyannote[2494].end 14771.37659375
transcript.pyannote[2495].speaker SPEAKER_31
transcript.pyannote[2495].start 14768.13659375
transcript.pyannote[2495].end 14773.31721875
transcript.pyannote[2496].speaker SPEAKER_31
transcript.pyannote[2496].start 14773.87409375
transcript.pyannote[2496].end 14779.39221875
transcript.pyannote[2497].speaker SPEAKER_31
transcript.pyannote[2497].start 14779.78034375
transcript.pyannote[2497].end 14795.37284375
transcript.pyannote[2498].speaker SPEAKER_31
transcript.pyannote[2498].start 14796.23346875
transcript.pyannote[2498].end 14797.97159375
transcript.pyannote[2499].speaker SPEAKER_29
transcript.pyannote[2499].start 14797.97159375
transcript.pyannote[2499].end 14807.05034375
transcript.pyannote[2500].speaker SPEAKER_31
transcript.pyannote[2500].start 14800.43534375
transcript.pyannote[2500].end 14802.69659375
transcript.pyannote[2501].speaker SPEAKER_31
transcript.pyannote[2501].start 14805.83534375
transcript.pyannote[2501].end 14836.42971875
transcript.pyannote[2502].speaker SPEAKER_31
transcript.pyannote[2502].start 14836.69971875
transcript.pyannote[2502].end 14838.01596875
transcript.pyannote[2503].speaker SPEAKER_31
transcript.pyannote[2503].start 14838.57284375
transcript.pyannote[2503].end 14840.76659375
transcript.pyannote[2504].speaker SPEAKER_29
transcript.pyannote[2504].start 14838.69096875
transcript.pyannote[2504].end 14842.26846875
transcript.pyannote[2505].speaker SPEAKER_31
transcript.pyannote[2505].start 14841.28971875
transcript.pyannote[2505].end 14847.26346875
transcript.pyannote[2506].speaker SPEAKER_31
transcript.pyannote[2506].start 14847.66846875
transcript.pyannote[2506].end 14850.92534375
transcript.pyannote[2507].speaker SPEAKER_31
transcript.pyannote[2507].start 14851.70159375
transcript.pyannote[2507].end 14857.55721875
transcript.pyannote[2508].speaker SPEAKER_29
transcript.pyannote[2508].start 14855.98784375
transcript.pyannote[2508].end 14874.12846875
transcript.pyannote[2509].speaker SPEAKER_41
transcript.pyannote[2509].start 14868.25596875
transcript.pyannote[2509].end 14868.96471875
transcript.pyannote[2510].speaker SPEAKER_41
transcript.pyannote[2510].start 14869.38659375
transcript.pyannote[2510].end 14869.42034375
transcript.pyannote[2511].speaker SPEAKER_41
transcript.pyannote[2511].start 14869.47096875
transcript.pyannote[2511].end 14869.63971875
transcript.pyannote[2512].speaker SPEAKER_41
transcript.pyannote[2512].start 14874.12846875
transcript.pyannote[2512].end 14910.10596875
transcript.pyannote[2513].speaker SPEAKER_31
transcript.pyannote[2513].start 14909.39721875
transcript.pyannote[2513].end 14928.21284375
transcript.pyannote[2514].speaker SPEAKER_31
transcript.pyannote[2514].start 14929.07346875
transcript.pyannote[2514].end 14933.05596875
transcript.pyannote[2515].speaker SPEAKER_41
transcript.pyannote[2515].start 14930.33909375
transcript.pyannote[2515].end 14930.84534375
transcript.pyannote[2516].speaker SPEAKER_41
transcript.pyannote[2516].start 14931.55409375
transcript.pyannote[2516].end 14954.11596875
transcript.pyannote[2517].speaker SPEAKER_31
transcript.pyannote[2517].start 14953.25534375
transcript.pyannote[2517].end 14956.64721875
transcript.pyannote[2518].speaker SPEAKER_41
transcript.pyannote[2518].start 14956.64721875
transcript.pyannote[2518].end 14962.97534375
transcript.pyannote[2519].speaker SPEAKER_31
transcript.pyannote[2519].start 14962.97534375
transcript.pyannote[2519].end 14970.02909375
transcript.pyannote[2520].speaker SPEAKER_31
transcript.pyannote[2520].start 14970.24846875
transcript.pyannote[2520].end 14980.81221875
transcript.pyannote[2521].speaker SPEAKER_41
transcript.pyannote[2521].start 14980.81221875
transcript.pyannote[2521].end 14981.84159375
transcript.pyannote[2522].speaker SPEAKER_31
transcript.pyannote[2522].start 14981.84159375
transcript.pyannote[2522].end 14982.46596875
transcript.pyannote[2523].speaker SPEAKER_41
transcript.pyannote[2523].start 14982.46596875
transcript.pyannote[2523].end 14983.61346875
transcript.pyannote[2524].speaker SPEAKER_31
transcript.pyannote[2524].start 14983.61346875
transcript.pyannote[2524].end 14984.05221875
transcript.pyannote[2525].speaker SPEAKER_31
transcript.pyannote[2525].start 14984.59221875
transcript.pyannote[2525].end 14986.02659375
transcript.pyannote[2526].speaker SPEAKER_31
transcript.pyannote[2526].start 14986.17846875
transcript.pyannote[2526].end 15020.04659375
transcript.pyannote[2527].speaker SPEAKER_31
transcript.pyannote[2527].start 15020.09721875
transcript.pyannote[2527].end 15024.36659375
transcript.pyannote[2528].speaker SPEAKER_31
transcript.pyannote[2528].start 15025.81784375
transcript.pyannote[2528].end 15025.83471875
transcript.pyannote[2529].speaker SPEAKER_41
transcript.pyannote[2529].start 15025.83471875
transcript.pyannote[2529].end 15025.85159375
transcript.pyannote[2530].speaker SPEAKER_31
transcript.pyannote[2530].start 15025.85159375
transcript.pyannote[2530].end 15025.88534375
transcript.pyannote[2531].speaker SPEAKER_41
transcript.pyannote[2531].start 15025.88534375
transcript.pyannote[2531].end 15078.63659375
transcript.pyannote[2532].speaker SPEAKER_31
transcript.pyannote[2532].start 15078.26534375
transcript.pyannote[2532].end 15107.62784375
transcript.pyannote[2533].speaker SPEAKER_31
transcript.pyannote[2533].start 15107.88096875
transcript.pyannote[2533].end 15111.50909375
transcript.pyannote[2534].speaker SPEAKER_38
transcript.pyannote[2534].start 15112.01534375
transcript.pyannote[2534].end 15113.24721875
transcript.pyannote[2535].speaker SPEAKER_29
transcript.pyannote[2535].start 15113.24721875
transcript.pyannote[2535].end 15116.03159375
transcript.pyannote[2536].speaker SPEAKER_29
transcript.pyannote[2536].start 15116.36909375
transcript.pyannote[2536].end 15119.84534375
transcript.pyannote[2537].speaker SPEAKER_31
transcript.pyannote[2537].start 15119.84534375
transcript.pyannote[2537].end 15120.53721875
transcript.pyannote[2538].speaker SPEAKER_29
transcript.pyannote[2538].start 15120.53721875
transcript.pyannote[2538].end 15120.97596875
transcript.pyannote[2539].speaker SPEAKER_31
transcript.pyannote[2539].start 15120.95909375
transcript.pyannote[2539].end 15144.31409375
transcript.pyannote[2540].speaker SPEAKER_29
transcript.pyannote[2540].start 15129.93659375
transcript.pyannote[2540].end 15132.18096875
transcript.pyannote[2541].speaker SPEAKER_29
transcript.pyannote[2541].start 15132.73784375
transcript.pyannote[2541].end 15133.75034375
transcript.pyannote[2542].speaker SPEAKER_29
transcript.pyannote[2542].start 15144.31409375
transcript.pyannote[2542].end 15144.34784375
transcript.pyannote[2543].speaker SPEAKER_29
transcript.pyannote[2543].start 15145.27596875
transcript.pyannote[2543].end 15151.57034375
transcript.pyannote[2544].speaker SPEAKER_31
transcript.pyannote[2544].start 15149.66346875
transcript.pyannote[2544].end 15158.08409375
transcript.pyannote[2545].speaker SPEAKER_31
transcript.pyannote[2545].start 15158.20221875
transcript.pyannote[2545].end 15158.65784375
transcript.pyannote[2546].speaker SPEAKER_31
transcript.pyannote[2546].start 15158.82659375
transcript.pyannote[2546].end 15163.78784375
transcript.pyannote[2547].speaker SPEAKER_08
transcript.pyannote[2547].start 15159.87284375
transcript.pyannote[2547].end 15160.12596875
transcript.pyannote[2548].speaker SPEAKER_08
transcript.pyannote[2548].start 15162.67409375
transcript.pyannote[2548].end 15163.39971875
transcript.pyannote[2549].speaker SPEAKER_29
transcript.pyannote[2549].start 15163.78784375
transcript.pyannote[2549].end 15163.80471875
transcript.pyannote[2550].speaker SPEAKER_08
transcript.pyannote[2550].start 15165.20534375
transcript.pyannote[2550].end 15167.09534375
transcript.pyannote[2551].speaker SPEAKER_08
transcript.pyannote[2551].start 15167.90534375
transcript.pyannote[2551].end 15170.74034375
transcript.pyannote[2552].speaker SPEAKER_08
transcript.pyannote[2552].start 15171.46596875
transcript.pyannote[2552].end 15171.87096875
transcript.pyannote[2553].speaker SPEAKER_07
transcript.pyannote[2553].start 15173.01846875
transcript.pyannote[2553].end 15173.18721875
transcript.pyannote[2554].speaker SPEAKER_07
transcript.pyannote[2554].start 15173.35596875
transcript.pyannote[2554].end 15177.89534375
transcript.pyannote[2555].speaker SPEAKER_07
transcript.pyannote[2555].start 15177.96284375
transcript.pyannote[2555].end 15177.99659375
transcript.pyannote[2556].speaker SPEAKER_07
transcript.pyannote[2556].start 15178.40159375
transcript.pyannote[2556].end 15178.43534375
transcript.pyannote[2557].speaker SPEAKER_08
transcript.pyannote[2557].start 15178.43534375
transcript.pyannote[2557].end 15178.45221875
transcript.pyannote[2558].speaker SPEAKER_07
transcript.pyannote[2558].start 15178.45221875
transcript.pyannote[2558].end 15178.50284375
transcript.pyannote[2559].speaker SPEAKER_08
transcript.pyannote[2559].start 15178.50284375
transcript.pyannote[2559].end 15178.63784375
transcript.pyannote[2560].speaker SPEAKER_07
transcript.pyannote[2560].start 15178.63784375
transcript.pyannote[2560].end 15178.77284375
transcript.pyannote[2561].speaker SPEAKER_08
transcript.pyannote[2561].start 15179.58284375
transcript.pyannote[2561].end 15180.05534375
transcript.pyannote[2562].speaker SPEAKER_08
transcript.pyannote[2562].start 15181.28721875
transcript.pyannote[2562].end 15187.68284375
transcript.pyannote[2563].speaker SPEAKER_39
transcript.pyannote[2563].start 15187.68284375
transcript.pyannote[2563].end 15187.69971875
transcript.pyannote[2564].speaker SPEAKER_39
transcript.pyannote[2564].start 15189.85971875
transcript.pyannote[2564].end 15192.00284375
transcript.pyannote[2565].speaker SPEAKER_39
transcript.pyannote[2565].start 15196.76159375
transcript.pyannote[2565].end 15210.80159375
transcript.pyannote[2566].speaker SPEAKER_29
transcript.pyannote[2566].start 15200.08596875
transcript.pyannote[2566].end 15200.74409375
transcript.pyannote[2567].speaker SPEAKER_29
transcript.pyannote[2567].start 15202.29659375
transcript.pyannote[2567].end 15203.46096875
transcript.pyannote[2568].speaker SPEAKER_29
transcript.pyannote[2568].start 15203.68034375
transcript.pyannote[2568].end 15204.59159375
transcript.pyannote[2569].speaker SPEAKER_29
transcript.pyannote[2569].start 15208.55721875
transcript.pyannote[2569].end 15208.59096875
transcript.pyannote[2570].speaker SPEAKER_29
transcript.pyannote[2570].start 15208.82721875
transcript.pyannote[2570].end 15209.33346875
transcript.pyannote[2571].speaker SPEAKER_39
transcript.pyannote[2571].start 15210.95346875
transcript.pyannote[2571].end 15210.98721875
transcript.pyannote[2572].speaker SPEAKER_39
transcript.pyannote[2572].start 15211.00409375
transcript.pyannote[2572].end 15212.99534375
transcript.pyannote[2573].speaker SPEAKER_29
transcript.pyannote[2573].start 15211.66221875
transcript.pyannote[2573].end 15213.18096875
transcript.pyannote[2574].speaker SPEAKER_39
transcript.pyannote[2574].start 15213.07971875
transcript.pyannote[2574].end 15219.82971875
transcript.pyannote[2575].speaker SPEAKER_39
transcript.pyannote[2575].start 15220.31909375
transcript.pyannote[2575].end 15235.55721875
transcript.pyannote[2576].speaker SPEAKER_00
transcript.pyannote[2576].start 15221.95596875
transcript.pyannote[2576].end 15222.25971875
transcript.pyannote[2577].speaker SPEAKER_29
transcript.pyannote[2577].start 15234.67971875
transcript.pyannote[2577].end 15241.02471875
transcript.pyannote[2578].speaker SPEAKER_39
transcript.pyannote[2578].start 15236.82284375
transcript.pyannote[2578].end 15237.46409375
transcript.pyannote[2579].speaker SPEAKER_39
transcript.pyannote[2579].start 15241.02471875
transcript.pyannote[2579].end 15241.96971875
transcript.pyannote[2580].speaker SPEAKER_29
transcript.pyannote[2580].start 15241.96971875
transcript.pyannote[2580].end 15242.03721875
transcript.pyannote[2581].speaker SPEAKER_39
transcript.pyannote[2581].start 15242.03721875
transcript.pyannote[2581].end 15256.39784375
transcript.pyannote[2582].speaker SPEAKER_29
transcript.pyannote[2582].start 15243.87659375
transcript.pyannote[2582].end 15244.58534375
transcript.pyannote[2583].speaker SPEAKER_38
transcript.pyannote[2583].start 15249.19221875
transcript.pyannote[2583].end 15249.20909375
transcript.pyannote[2584].speaker SPEAKER_27
transcript.pyannote[2584].start 15249.20909375
transcript.pyannote[2584].end 15249.96846875
transcript.pyannote[2585].speaker SPEAKER_38
transcript.pyannote[2585].start 15249.96846875
transcript.pyannote[2585].end 15250.69409375
transcript.pyannote[2586].speaker SPEAKER_00
transcript.pyannote[2586].start 15250.69409375
transcript.pyannote[2586].end 15250.77846875
transcript.pyannote[2587].speaker SPEAKER_38
transcript.pyannote[2587].start 15250.77846875
transcript.pyannote[2587].end 15250.81221875
transcript.pyannote[2588].speaker SPEAKER_39
transcript.pyannote[2588].start 15258.74346875
transcript.pyannote[2588].end 15259.51971875
transcript.pyannote[2589].speaker SPEAKER_39
transcript.pyannote[2589].start 15261.00471875
transcript.pyannote[2589].end 15262.21971875
transcript.pyannote[2590].speaker SPEAKER_29
transcript.pyannote[2590].start 15262.21971875
transcript.pyannote[2590].end 15262.65846875
transcript.pyannote[2591].speaker SPEAKER_29
transcript.pyannote[2591].start 15263.09721875
transcript.pyannote[2591].end 15263.80596875
transcript.pyannote[2592].speaker SPEAKER_29
transcript.pyannote[2592].start 15264.09284375
transcript.pyannote[2592].end 15267.88971875
transcript.pyannote[2593].speaker SPEAKER_39
transcript.pyannote[2593].start 15267.88971875
transcript.pyannote[2593].end 15273.76221875
transcript.pyannote[2594].speaker SPEAKER_39
transcript.pyannote[2594].start 15273.98159375
transcript.pyannote[2594].end 15277.15409375
transcript.pyannote[2595].speaker SPEAKER_39
transcript.pyannote[2595].start 15278.16659375
transcript.pyannote[2595].end 15278.75721875
transcript.pyannote[2596].speaker SPEAKER_39
transcript.pyannote[2596].start 15279.17909375
transcript.pyannote[2596].end 15281.92971875
transcript.pyannote[2597].speaker SPEAKER_39
transcript.pyannote[2597].start 15285.87846875
transcript.pyannote[2597].end 15286.18221875
transcript.pyannote[2598].speaker SPEAKER_39
transcript.pyannote[2598].start 15286.68846875
transcript.pyannote[2598].end 15286.94159375
transcript.pyannote[2599].speaker SPEAKER_39
transcript.pyannote[2599].start 15289.28721875
transcript.pyannote[2599].end 15290.18159375
transcript.pyannote[2600].speaker SPEAKER_39
transcript.pyannote[2600].start 15291.59909375
transcript.pyannote[2600].end 15292.93221875
transcript.pyannote[2601].speaker SPEAKER_39
transcript.pyannote[2601].start 15293.55659375
transcript.pyannote[2601].end 15293.91096875
transcript.pyannote[2602].speaker SPEAKER_39
transcript.pyannote[2602].start 15294.97409375
transcript.pyannote[2602].end 15297.82596875
transcript.pyannote[2603].speaker SPEAKER_39
transcript.pyannote[2603].start 15298.01159375
transcript.pyannote[2603].end 15298.19721875
transcript.pyannote[2604].speaker SPEAKER_39
transcript.pyannote[2604].start 15298.78784375
transcript.pyannote[2604].end 15299.47971875
transcript.pyannote[2605].speaker SPEAKER_39
transcript.pyannote[2605].start 15300.01971875
transcript.pyannote[2605].end 15301.01534375
transcript.pyannote[2606].speaker SPEAKER_39
transcript.pyannote[2606].start 15301.72409375
transcript.pyannote[2606].end 15302.21346875
transcript.pyannote[2607].speaker SPEAKER_39
transcript.pyannote[2607].start 15305.57159375
transcript.pyannote[2607].end 15306.34784375
transcript.pyannote[2608].speaker SPEAKER_39
transcript.pyannote[2608].start 15307.10721875
transcript.pyannote[2608].end 15307.41096875
transcript.pyannote[2609].speaker SPEAKER_39
transcript.pyannote[2609].start 15307.64721875
transcript.pyannote[2609].end 15308.72721875
transcript.pyannote[2610].speaker SPEAKER_39
transcript.pyannote[2610].start 15309.35159375
transcript.pyannote[2610].end 15311.52846875
transcript.pyannote[2611].speaker SPEAKER_39
transcript.pyannote[2611].start 15315.81471875
transcript.pyannote[2611].end 15318.22784375
transcript.pyannote[2612].speaker SPEAKER_39
transcript.pyannote[2612].start 15319.86471875
transcript.pyannote[2612].end 15320.15159375
transcript.pyannote[2613].speaker SPEAKER_39
transcript.pyannote[2613].start 15321.31596875
transcript.pyannote[2613].end 15322.15971875
transcript.pyannote[2614].speaker SPEAKER_39
transcript.pyannote[2614].start 15323.72909375
transcript.pyannote[2614].end 15324.58971875
transcript.pyannote[2615].speaker SPEAKER_39
transcript.pyannote[2615].start 15325.70346875
transcript.pyannote[2615].end 15327.61034375
transcript.pyannote[2616].speaker SPEAKER_39
transcript.pyannote[2616].start 15328.70721875
transcript.pyannote[2616].end 15332.52096875
transcript.pyannote[2617].speaker SPEAKER_39
transcript.pyannote[2617].start 15332.90909375
transcript.pyannote[2617].end 15348.23159375
transcript.pyannote[2618].speaker SPEAKER_29
transcript.pyannote[2618].start 15336.11534375
transcript.pyannote[2618].end 15336.79034375
transcript.pyannote[2619].speaker SPEAKER_39
transcript.pyannote[2619].start 15349.21034375
transcript.pyannote[2619].end 15351.06659375
transcript.pyannote[2620].speaker SPEAKER_39
transcript.pyannote[2620].start 15351.75846875
transcript.pyannote[2620].end 15353.71596875
transcript.pyannote[2621].speaker SPEAKER_39
transcript.pyannote[2621].start 15354.10409375
transcript.pyannote[2621].end 15354.12096875
transcript.pyannote[2622].speaker SPEAKER_39
transcript.pyannote[2622].start 15354.20534375
transcript.pyannote[2622].end 15362.45721875
transcript.pyannote[2623].speaker SPEAKER_00
transcript.pyannote[2623].start 15358.66034375
transcript.pyannote[2623].end 15359.31846875
transcript.pyannote[2624].speaker SPEAKER_39
transcript.pyannote[2624].start 15363.08159375
transcript.pyannote[2624].end 15376.00784375
transcript.pyannote[2625].speaker SPEAKER_39
transcript.pyannote[2625].start 15376.69971875
transcript.pyannote[2625].end 15380.22659375
transcript.pyannote[2626].speaker SPEAKER_29
transcript.pyannote[2626].start 15378.74159375
transcript.pyannote[2626].end 15380.20971875
transcript.pyannote[2627].speaker SPEAKER_29
transcript.pyannote[2627].start 15380.22659375
transcript.pyannote[2627].end 15380.39534375
transcript.pyannote[2628].speaker SPEAKER_39
transcript.pyannote[2628].start 15380.39534375
transcript.pyannote[2628].end 15380.44596875
transcript.pyannote[2629].speaker SPEAKER_29
transcript.pyannote[2629].start 15380.44596875
transcript.pyannote[2629].end 15380.59784375
transcript.pyannote[2630].speaker SPEAKER_39
transcript.pyannote[2630].start 15380.59784375
transcript.pyannote[2630].end 15381.03659375
transcript.pyannote[2631].speaker SPEAKER_39
transcript.pyannote[2631].start 15381.30659375
transcript.pyannote[2631].end 15381.96471875
transcript.pyannote[2632].speaker SPEAKER_29
transcript.pyannote[2632].start 15381.96471875
transcript.pyannote[2632].end 15384.61409375
transcript.pyannote[2633].speaker SPEAKER_39
transcript.pyannote[2633].start 15383.75346875
transcript.pyannote[2633].end 15386.38596875
transcript.pyannote[2634].speaker SPEAKER_39
transcript.pyannote[2634].start 15386.68971875
transcript.pyannote[2634].end 15391.06034375
transcript.pyannote[2635].speaker SPEAKER_39
transcript.pyannote[2635].start 15391.95471875
transcript.pyannote[2635].end 15393.96284375
transcript.pyannote[2636].speaker SPEAKER_29
transcript.pyannote[2636].start 15393.96284375
transcript.pyannote[2636].end 15404.03721875
transcript.pyannote[2637].speaker SPEAKER_39
transcript.pyannote[2637].start 15404.03721875
transcript.pyannote[2637].end 15407.37846875
transcript.pyannote[2638].speaker SPEAKER_39
transcript.pyannote[2638].start 15407.71596875
transcript.pyannote[2638].end 15408.55971875
transcript.pyannote[2639].speaker SPEAKER_39
transcript.pyannote[2639].start 15409.42034375
transcript.pyannote[2639].end 15411.20909375
transcript.pyannote[2640].speaker SPEAKER_39
transcript.pyannote[2640].start 15411.54659375
transcript.pyannote[2640].end 15412.30596875
transcript.pyannote[2641].speaker SPEAKER_39
transcript.pyannote[2641].start 15413.80784375
transcript.pyannote[2641].end 15416.22096875
transcript.pyannote[2642].speaker SPEAKER_39
transcript.pyannote[2642].start 15416.87909375
transcript.pyannote[2642].end 15425.67096875
transcript.pyannote[2643].speaker SPEAKER_39
transcript.pyannote[2643].start 15425.72159375
transcript.pyannote[2643].end 15427.12221875
transcript.pyannote[2644].speaker SPEAKER_39
transcript.pyannote[2644].start 15427.59471875
transcript.pyannote[2644].end 15434.80034375
transcript.pyannote[2645].speaker SPEAKER_29
transcript.pyannote[2645].start 15427.72971875
transcript.pyannote[2645].end 15427.96596875
transcript.pyannote[2646].speaker SPEAKER_00
transcript.pyannote[2646].start 15427.96596875
transcript.pyannote[2646].end 15428.57346875
transcript.pyannote[2647].speaker SPEAKER_29
transcript.pyannote[2647].start 15429.06284375
transcript.pyannote[2647].end 15430.05846875
transcript.pyannote[2648].speaker SPEAKER_39
transcript.pyannote[2648].start 15435.52596875
transcript.pyannote[2648].end 15436.31909375
transcript.pyannote[2649].speaker SPEAKER_39
transcript.pyannote[2649].start 15436.63971875
transcript.pyannote[2649].end 15450.67971875
transcript.pyannote[2650].speaker SPEAKER_29
transcript.pyannote[2650].start 15436.72409375
transcript.pyannote[2650].end 15436.75784375
transcript.pyannote[2651].speaker SPEAKER_28
transcript.pyannote[2651].start 15436.75784375
transcript.pyannote[2651].end 15437.16284375
transcript.pyannote[2652].speaker SPEAKER_29
transcript.pyannote[2652].start 15437.16284375
transcript.pyannote[2652].end 15437.26409375
transcript.pyannote[2653].speaker SPEAKER_39
transcript.pyannote[2653].start 15451.03409375
transcript.pyannote[2653].end 15465.88409375
transcript.pyannote[2654].speaker SPEAKER_29
transcript.pyannote[2654].start 15454.52721875
transcript.pyannote[2654].end 15455.48909375
transcript.pyannote[2655].speaker SPEAKER_29
transcript.pyannote[2655].start 15456.33284375
transcript.pyannote[2655].end 15457.81784375
transcript.pyannote[2656].speaker SPEAKER_29
transcript.pyannote[2656].start 15457.83471875
transcript.pyannote[2656].end 15457.86846875
transcript.pyannote[2657].speaker SPEAKER_00
transcript.pyannote[2657].start 15460.65284375
transcript.pyannote[2657].end 15460.70346875
transcript.pyannote[2658].speaker SPEAKER_30
transcript.pyannote[2658].start 15460.70346875
transcript.pyannote[2658].end 15462.32346875
transcript.pyannote[2659].speaker SPEAKER_39
transcript.pyannote[2659].start 15466.30596875
transcript.pyannote[2659].end 15475.84034375
transcript.pyannote[2660].speaker SPEAKER_22
transcript.pyannote[2660].start 15466.33971875
transcript.pyannote[2660].end 15467.09909375
transcript.pyannote[2661].speaker SPEAKER_00
transcript.pyannote[2661].start 15467.09909375
transcript.pyannote[2661].end 15467.16659375
transcript.pyannote[2662].speaker SPEAKER_39
transcript.pyannote[2662].start 15475.95846875
transcript.pyannote[2662].end 15476.54909375
transcript.pyannote[2663].speaker SPEAKER_39
transcript.pyannote[2663].start 15477.24096875
transcript.pyannote[2663].end 15477.61221875
transcript.pyannote[2664].speaker SPEAKER_39
transcript.pyannote[2664].start 15478.20284375
transcript.pyannote[2664].end 15479.04659375
transcript.pyannote[2665].speaker SPEAKER_39
transcript.pyannote[2665].start 15479.58659375
transcript.pyannote[2665].end 15484.14284375
transcript.pyannote[2666].speaker SPEAKER_39
transcript.pyannote[2666].start 15484.46346875
transcript.pyannote[2666].end 15506.02971875
transcript.pyannote[2667].speaker SPEAKER_39
transcript.pyannote[2667].start 15506.77221875
transcript.pyannote[2667].end 15509.80971875
transcript.pyannote[2668].speaker SPEAKER_39
transcript.pyannote[2668].start 15510.56909375
transcript.pyannote[2668].end 15514.34909375
transcript.pyannote[2669].speaker SPEAKER_39
transcript.pyannote[2669].start 15515.02409375
transcript.pyannote[2669].end 15515.32784375
transcript.pyannote[2670].speaker SPEAKER_39
transcript.pyannote[2670].start 15516.99846875
transcript.pyannote[2670].end 15519.63096875
transcript.pyannote[2671].speaker SPEAKER_39
transcript.pyannote[2671].start 15520.01909375
transcript.pyannote[2671].end 15522.48284375
transcript.pyannote[2672].speaker SPEAKER_39
transcript.pyannote[2672].start 15522.71909375
transcript.pyannote[2672].end 15524.37284375
transcript.pyannote[2673].speaker SPEAKER_39
transcript.pyannote[2673].start 15524.64284375
transcript.pyannote[2673].end 15541.95659375
transcript.pyannote[2674].speaker SPEAKER_39
transcript.pyannote[2674].start 15543.10409375
transcript.pyannote[2674].end 15547.10346875
transcript.pyannote[2675].speaker SPEAKER_39
transcript.pyannote[2675].start 15547.89659375
transcript.pyannote[2675].end 15550.96784375
transcript.pyannote[2676].speaker SPEAKER_39
transcript.pyannote[2676].start 15552.01409375
transcript.pyannote[2676].end 15557.85284375
transcript.pyannote[2677].speaker SPEAKER_39
transcript.pyannote[2677].start 15558.46034375
transcript.pyannote[2677].end 15562.02096875
transcript.pyannote[2678].speaker SPEAKER_39
transcript.pyannote[2678].start 15562.30784375
transcript.pyannote[2678].end 15572.98971875
transcript.pyannote[2679].speaker SPEAKER_39
transcript.pyannote[2679].start 15573.63096875
transcript.pyannote[2679].end 15575.13284375
transcript.pyannote[2680].speaker SPEAKER_39
transcript.pyannote[2680].start 15575.41971875
transcript.pyannote[2680].end 15584.04284375
transcript.pyannote[2681].speaker SPEAKER_39
transcript.pyannote[2681].start 15584.73471875
transcript.pyannote[2681].end 15587.51909375
transcript.pyannote[2682].speaker SPEAKER_39
transcript.pyannote[2682].start 15588.78471875
transcript.pyannote[2682].end 15592.98659375
transcript.pyannote[2683].speaker SPEAKER_39
transcript.pyannote[2683].start 15593.81346875
transcript.pyannote[2683].end 15595.18034375
transcript.pyannote[2684].speaker SPEAKER_39
transcript.pyannote[2684].start 15596.17596875
transcript.pyannote[2684].end 15599.34846875
transcript.pyannote[2685].speaker SPEAKER_39
transcript.pyannote[2685].start 15600.76596875
transcript.pyannote[2685].end 15601.22159375
transcript.pyannote[2686].speaker SPEAKER_39
transcript.pyannote[2686].start 15601.60971875
transcript.pyannote[2686].end 15612.42659375
transcript.pyannote[2687].speaker SPEAKER_39
transcript.pyannote[2687].start 15613.70909375
transcript.pyannote[2687].end 15618.73784375
transcript.pyannote[2688].speaker SPEAKER_39
transcript.pyannote[2688].start 15618.85596875
transcript.pyannote[2688].end 15629.62221875
transcript.pyannote[2689].speaker SPEAKER_39
transcript.pyannote[2689].start 15630.49971875
transcript.pyannote[2689].end 15631.93409375
transcript.pyannote[2690].speaker SPEAKER_39
transcript.pyannote[2690].start 15632.99721875
transcript.pyannote[2690].end 15635.37659375
transcript.pyannote[2691].speaker SPEAKER_39
transcript.pyannote[2691].start 15635.61284375
transcript.pyannote[2691].end 15636.06846875
transcript.pyannote[2692].speaker SPEAKER_39
transcript.pyannote[2692].start 15636.23721875
transcript.pyannote[2692].end 15638.19471875
transcript.pyannote[2693].speaker SPEAKER_39
transcript.pyannote[2693].start 15638.88659375
transcript.pyannote[2693].end 15640.84409375
transcript.pyannote[2694].speaker SPEAKER_39
transcript.pyannote[2694].start 15641.31659375
transcript.pyannote[2694].end 15649.29846875
transcript.pyannote[2695].speaker SPEAKER_05
transcript.pyannote[2695].start 15646.73346875
transcript.pyannote[2695].end 15648.96096875
transcript.pyannote[2696].speaker SPEAKER_39
transcript.pyannote[2696].start 15649.36596875
transcript.pyannote[2696].end 15649.78784375
transcript.pyannote[2697].speaker SPEAKER_39
transcript.pyannote[2697].start 15650.74971875
transcript.pyannote[2697].end 15651.28971875
transcript.pyannote[2698].speaker SPEAKER_39
transcript.pyannote[2698].start 15651.96471875
transcript.pyannote[2698].end 15663.87846875
transcript.pyannote[2699].speaker SPEAKER_39
transcript.pyannote[2699].start 15664.65471875
transcript.pyannote[2699].end 15699.19784375
transcript.pyannote[2700].speaker SPEAKER_29
transcript.pyannote[2700].start 15700.02471875
transcript.pyannote[2700].end 15712.66409375
transcript.pyannote[2701].speaker SPEAKER_29
transcript.pyannote[2701].start 15712.84971875
transcript.pyannote[2701].end 15725.03346875
transcript.pyannote[2702].speaker SPEAKER_39
transcript.pyannote[2702].start 15723.43034375
transcript.pyannote[2702].end 15723.66659375
transcript.pyannote[2703].speaker SPEAKER_39
transcript.pyannote[2703].start 15725.03346875
transcript.pyannote[2703].end 15745.24971875
transcript.pyannote[2704].speaker SPEAKER_29
transcript.pyannote[2704].start 15736.18784375
transcript.pyannote[2704].end 15736.54221875
transcript.pyannote[2705].speaker SPEAKER_29
transcript.pyannote[2705].start 15740.15346875
transcript.pyannote[2705].end 15740.18721875
transcript.pyannote[2706].speaker SPEAKER_29
transcript.pyannote[2706].start 15740.20409375
transcript.pyannote[2706].end 15740.23784375
transcript.pyannote[2707].speaker SPEAKER_29
transcript.pyannote[2707].start 15743.51159375
transcript.pyannote[2707].end 15748.86096875
transcript.pyannote[2708].speaker SPEAKER_39
transcript.pyannote[2708].start 15745.36784375
transcript.pyannote[2708].end 15748.72596875
transcript.pyannote[2709].speaker SPEAKER_08
transcript.pyannote[2709].start 15749.02971875
transcript.pyannote[2709].end 15750.68346875
transcript.pyannote[2710].speaker SPEAKER_08
transcript.pyannote[2710].start 15751.61159375
transcript.pyannote[2710].end 15755.44221875
transcript.pyannote[2711].speaker SPEAKER_08
transcript.pyannote[2711].start 15755.45909375
transcript.pyannote[2711].end 15760.89284375
transcript.pyannote[2712].speaker SPEAKER_08
transcript.pyannote[2712].start 15764.58846875
transcript.pyannote[2712].end 15765.70221875
transcript.pyannote[2713].speaker SPEAKER_35
transcript.pyannote[2713].start 15770.62971875
transcript.pyannote[2713].end 15771.16971875
transcript.pyannote[2714].speaker SPEAKER_35
transcript.pyannote[2714].start 15771.94596875
transcript.pyannote[2714].end 15818.43659375
transcript.pyannote[2715].speaker SPEAKER_29
transcript.pyannote[2715].start 15819.31409375
transcript.pyannote[2715].end 15842.46659375
transcript.pyannote[2716].speaker SPEAKER_29
transcript.pyannote[2716].start 15842.71971875
transcript.pyannote[2716].end 15856.03409375
transcript.pyannote[2717].speaker SPEAKER_35
transcript.pyannote[2717].start 15856.03409375
transcript.pyannote[2717].end 15856.30409375
transcript.pyannote[2718].speaker SPEAKER_29
transcript.pyannote[2718].start 15856.30409375
transcript.pyannote[2718].end 15856.40534375
transcript.pyannote[2719].speaker SPEAKER_29
transcript.pyannote[2719].start 15857.04659375
transcript.pyannote[2719].end 15857.09721875
transcript.pyannote[2720].speaker SPEAKER_35
transcript.pyannote[2720].start 15857.09721875
transcript.pyannote[2720].end 15891.58971875
transcript.pyannote[2721].speaker SPEAKER_35
transcript.pyannote[2721].start 15891.80909375
transcript.pyannote[2721].end 15901.93409375
transcript.pyannote[2722].speaker SPEAKER_35
transcript.pyannote[2722].start 15902.30534375
transcript.pyannote[2722].end 15912.43034375
transcript.pyannote[2723].speaker SPEAKER_35
transcript.pyannote[2723].start 15913.29096875
transcript.pyannote[2723].end 15918.04971875
transcript.pyannote[2724].speaker SPEAKER_29
transcript.pyannote[2724].start 15918.74159375
transcript.pyannote[2724].end 15919.83846875
transcript.pyannote[2725].speaker SPEAKER_34
transcript.pyannote[2725].start 15920.04096875
transcript.pyannote[2725].end 15920.07471875
transcript.pyannote[2726].speaker SPEAKER_29
transcript.pyannote[2726].start 15920.07471875
transcript.pyannote[2726].end 15920.22659375
transcript.pyannote[2727].speaker SPEAKER_35
transcript.pyannote[2727].start 15920.22659375
transcript.pyannote[2727].end 15920.32784375
transcript.pyannote[2728].speaker SPEAKER_29
transcript.pyannote[2728].start 15922.74096875
transcript.pyannote[2728].end 15922.77471875
transcript.pyannote[2729].speaker SPEAKER_34
transcript.pyannote[2729].start 15922.77471875
transcript.pyannote[2729].end 15923.55096875
transcript.pyannote[2730].speaker SPEAKER_29
transcript.pyannote[2730].start 15922.79159375
transcript.pyannote[2730].end 15922.84221875
transcript.pyannote[2731].speaker SPEAKER_35
transcript.pyannote[2731].start 15922.84221875
transcript.pyannote[2731].end 15922.97721875
transcript.pyannote[2732].speaker SPEAKER_29
transcript.pyannote[2732].start 15922.97721875
transcript.pyannote[2732].end 15923.46659375
transcript.pyannote[2733].speaker SPEAKER_29
transcript.pyannote[2733].start 15923.55096875
transcript.pyannote[2733].end 15923.92221875
transcript.pyannote[2734].speaker SPEAKER_34
transcript.pyannote[2734].start 15923.92221875
transcript.pyannote[2734].end 15923.93909375
transcript.pyannote[2735].speaker SPEAKER_29
transcript.pyannote[2735].start 15923.93909375
transcript.pyannote[2735].end 15923.97284375
transcript.pyannote[2736].speaker SPEAKER_34
transcript.pyannote[2736].start 15923.97284375
transcript.pyannote[2736].end 15924.00659375
transcript.pyannote[2737].speaker SPEAKER_34
transcript.pyannote[2737].start 15924.71534375
transcript.pyannote[2737].end 15933.00096875
transcript.pyannote[2738].speaker SPEAKER_38
transcript.pyannote[2738].start 15933.00096875
transcript.pyannote[2738].end 15933.27096875
transcript.pyannote[2739].speaker SPEAKER_34
transcript.pyannote[2739].start 15933.27096875
transcript.pyannote[2739].end 15982.86659375
transcript.pyannote[2740].speaker SPEAKER_38
transcript.pyannote[2740].start 15933.28784375
transcript.pyannote[2740].end 15933.32159375
transcript.pyannote[2741].speaker SPEAKER_35
transcript.pyannote[2741].start 15982.86659375
transcript.pyannote[2741].end 15983.47409375
transcript.pyannote[2742].speaker SPEAKER_34
transcript.pyannote[2742].start 15983.37284375
transcript.pyannote[2742].end 15983.96346875
transcript.pyannote[2743].speaker SPEAKER_35
transcript.pyannote[2743].start 15983.96346875
transcript.pyannote[2743].end 16023.45096875
transcript.pyannote[2744].speaker SPEAKER_35
transcript.pyannote[2744].start 16023.94034375
transcript.pyannote[2744].end 16025.02034375
transcript.pyannote[2745].speaker SPEAKER_29
transcript.pyannote[2745].start 16026.58971875
transcript.pyannote[2745].end 16026.77534375
transcript.pyannote[2746].speaker SPEAKER_35
transcript.pyannote[2746].start 16027.19721875
transcript.pyannote[2746].end 16027.21409375
transcript.pyannote[2747].speaker SPEAKER_29
transcript.pyannote[2747].start 16027.21409375
transcript.pyannote[2747].end 16029.81284375
transcript.pyannote[2748].speaker SPEAKER_29
transcript.pyannote[2748].start 16030.11659375
transcript.pyannote[2748].end 16030.90971875
transcript.pyannote[2749].speaker SPEAKER_35
transcript.pyannote[2749].start 16032.05721875
transcript.pyannote[2749].end 16040.07284375
transcript.pyannote[2750].speaker SPEAKER_38
transcript.pyannote[2750].start 16040.07284375
transcript.pyannote[2750].end 16041.18659375
transcript.pyannote[2751].speaker SPEAKER_35
transcript.pyannote[2751].start 16041.40596875
transcript.pyannote[2751].end 16041.72659375
transcript.pyannote[2752].speaker SPEAKER_38
transcript.pyannote[2752].start 16041.77721875
transcript.pyannote[2752].end 16042.90784375
transcript.pyannote[2753].speaker SPEAKER_38
transcript.pyannote[2753].start 16042.97534375
transcript.pyannote[2753].end 16042.99221875
transcript.pyannote[2754].speaker SPEAKER_38
transcript.pyannote[2754].start 16043.09346875
transcript.pyannote[2754].end 16043.12721875
transcript.pyannote[2755].speaker SPEAKER_35
transcript.pyannote[2755].start 16043.12721875
transcript.pyannote[2755].end 16044.30846875
transcript.pyannote[2756].speaker SPEAKER_38
transcript.pyannote[2756].start 16044.44346875
transcript.pyannote[2756].end 16044.57846875
transcript.pyannote[2757].speaker SPEAKER_34
transcript.pyannote[2757].start 16045.20284375
transcript.pyannote[2757].end 16052.96534375
transcript.pyannote[2758].speaker SPEAKER_35
transcript.pyannote[2758].start 16052.96534375
transcript.pyannote[2758].end 16059.44534375
transcript.pyannote[2759].speaker SPEAKER_38
transcript.pyannote[2759].start 16056.50909375
transcript.pyannote[2759].end 16056.72846875
transcript.pyannote[2760].speaker SPEAKER_35
transcript.pyannote[2760].start 16060.01909375
transcript.pyannote[2760].end 16062.38159375
transcript.pyannote[2761].speaker SPEAKER_35
transcript.pyannote[2761].start 16063.84971875
transcript.pyannote[2761].end 16066.58346875
transcript.pyannote[2762].speaker SPEAKER_35
transcript.pyannote[2762].start 16068.52409375
transcript.pyannote[2762].end 16081.18034375
transcript.pyannote[2763].speaker SPEAKER_29
transcript.pyannote[2763].start 16082.04096875
transcript.pyannote[2763].end 16087.03596875
transcript.pyannote[2764].speaker SPEAKER_29
transcript.pyannote[2764].start 16087.20471875
transcript.pyannote[2764].end 16091.32221875
transcript.pyannote[2765].speaker SPEAKER_07
transcript.pyannote[2765].start 16092.06471875
transcript.pyannote[2765].end 16092.11534375
transcript.pyannote[2766].speaker SPEAKER_29
transcript.pyannote[2766].start 16092.11534375
transcript.pyannote[2766].end 16092.36846875
transcript.pyannote[2767].speaker SPEAKER_07
transcript.pyannote[2767].start 16093.97159375
transcript.pyannote[2767].end 16095.00096875
transcript.pyannote[2768].speaker SPEAKER_08
transcript.pyannote[2768].start 16095.00096875
transcript.pyannote[2768].end 16095.01784375
transcript.pyannote[2769].speaker SPEAKER_07
transcript.pyannote[2769].start 16095.87846875
transcript.pyannote[2769].end 16095.96284375
transcript.pyannote[2770].speaker SPEAKER_08
transcript.pyannote[2770].start 16095.96284375
transcript.pyannote[2770].end 16096.72221875
transcript.pyannote[2771].speaker SPEAKER_08
transcript.pyannote[2771].start 16096.84034375
transcript.pyannote[2771].end 16097.49846875
transcript.pyannote[2772].speaker SPEAKER_08
transcript.pyannote[2772].start 16097.95409375
transcript.pyannote[2772].end 16099.25346875
transcript.pyannote[2773].speaker SPEAKER_35
transcript.pyannote[2773].start 16101.66659375
transcript.pyannote[2773].end 16102.12221875
transcript.pyannote[2774].speaker SPEAKER_08
transcript.pyannote[2774].start 16102.54409375
transcript.pyannote[2774].end 16106.25659375
transcript.pyannote[2775].speaker SPEAKER_08
transcript.pyannote[2775].start 16108.01159375
transcript.pyannote[2775].end 16108.29846875
transcript.pyannote[2776].speaker SPEAKER_08
transcript.pyannote[2776].start 16109.37846875
transcript.pyannote[2776].end 16110.13784375
transcript.pyannote[2777].speaker SPEAKER_08
transcript.pyannote[2777].start 16115.36909375
transcript.pyannote[2777].end 16119.38534375
transcript.pyannote[2778].speaker SPEAKER_08
transcript.pyannote[2778].start 16119.89159375
transcript.pyannote[2778].end 16120.70159375
transcript.pyannote[2779].speaker SPEAKER_08
transcript.pyannote[2779].start 16121.20784375
transcript.pyannote[2779].end 16122.96284375
transcript.pyannote[2780].speaker SPEAKER_35
transcript.pyannote[2780].start 16122.96284375
transcript.pyannote[2780].end 16125.17346875
transcript.pyannote[2781].speaker SPEAKER_35
transcript.pyannote[2781].start 16129.03784375
transcript.pyannote[2781].end 16131.31596875
transcript.pyannote[2782].speaker SPEAKER_29
transcript.pyannote[2782].start 16131.31596875
transcript.pyannote[2782].end 16132.27784375
transcript.pyannote[2783].speaker SPEAKER_35
transcript.pyannote[2783].start 16132.27784375
transcript.pyannote[2783].end 16134.58971875
transcript.pyannote[2784].speaker SPEAKER_35
transcript.pyannote[2784].start 16135.18034375
transcript.pyannote[2784].end 16135.73721875
transcript.pyannote[2785].speaker SPEAKER_35
transcript.pyannote[2785].start 16135.90596875
transcript.pyannote[2785].end 16150.23284375
transcript.pyannote[2786].speaker SPEAKER_29
transcript.pyannote[2786].start 16151.21159375
transcript.pyannote[2786].end 16153.47284375
transcript.pyannote[2787].speaker SPEAKER_35
transcript.pyannote[2787].start 16153.47284375
transcript.pyannote[2787].end 16155.91971875
transcript.pyannote[2788].speaker SPEAKER_29
transcript.pyannote[2788].start 16157.45534375
transcript.pyannote[2788].end 16163.04096875
transcript.pyannote[2789].speaker SPEAKER_35
transcript.pyannote[2789].start 16162.55159375
transcript.pyannote[2789].end 16168.20471875
transcript.pyannote[2790].speaker SPEAKER_38
transcript.pyannote[2790].start 16169.09909375
transcript.pyannote[2790].end 16169.35221875
transcript.pyannote[2791].speaker SPEAKER_35
transcript.pyannote[2791].start 16169.35221875
transcript.pyannote[2791].end 16170.02721875
transcript.pyannote[2792].speaker SPEAKER_29
transcript.pyannote[2792].start 16169.38596875
transcript.pyannote[2792].end 16169.47034375
transcript.pyannote[2793].speaker SPEAKER_29
transcript.pyannote[2793].start 16170.76971875
transcript.pyannote[2793].end 16170.92159375
transcript.pyannote[2794].speaker SPEAKER_29
transcript.pyannote[2794].start 16172.44034375
transcript.pyannote[2794].end 16173.35159375
transcript.pyannote[2795].speaker SPEAKER_29
transcript.pyannote[2795].start 16173.55409375
transcript.pyannote[2795].end 16176.86159375
transcript.pyannote[2796].speaker SPEAKER_35
transcript.pyannote[2796].start 16176.55784375
transcript.pyannote[2796].end 16180.45596875
transcript.pyannote[2797].speaker SPEAKER_29
transcript.pyannote[2797].start 16181.82284375
transcript.pyannote[2797].end 16181.83971875
transcript.pyannote[2798].speaker SPEAKER_35
transcript.pyannote[2798].start 16181.83971875
transcript.pyannote[2798].end 16187.22284375
transcript.pyannote[2799].speaker SPEAKER_42
transcript.pyannote[2799].start 16187.88096875
transcript.pyannote[2799].end 16187.89784375
transcript.pyannote[2800].speaker SPEAKER_35
transcript.pyannote[2800].start 16187.89784375
transcript.pyannote[2800].end 16191.98159375
transcript.pyannote[2801].speaker SPEAKER_35
transcript.pyannote[2801].start 16192.38659375
transcript.pyannote[2801].end 16193.78721875
transcript.pyannote[2802].speaker SPEAKER_35
transcript.pyannote[2802].start 16194.34409375
transcript.pyannote[2802].end 16196.04846875
transcript.pyannote[2803].speaker SPEAKER_34
transcript.pyannote[2803].start 16196.04846875
transcript.pyannote[2803].end 16196.13284375
transcript.pyannote[2804].speaker SPEAKER_34
transcript.pyannote[2804].start 16196.36909375
transcript.pyannote[2804].end 16196.41971875
transcript.pyannote[2805].speaker SPEAKER_35
transcript.pyannote[2805].start 16196.41971875
transcript.pyannote[2805].end 16196.97659375
transcript.pyannote[2806].speaker SPEAKER_34
transcript.pyannote[2806].start 16196.97659375
transcript.pyannote[2806].end 16196.99346875
transcript.pyannote[2807].speaker SPEAKER_29
transcript.pyannote[2807].start 16197.44909375
transcript.pyannote[2807].end 16199.59221875
transcript.pyannote[2808].speaker SPEAKER_34
transcript.pyannote[2808].start 16199.96346875
transcript.pyannote[2808].end 16204.04721875
transcript.pyannote[2809].speaker SPEAKER_35
transcript.pyannote[2809].start 16203.45659375
transcript.pyannote[2809].end 16207.84409375
transcript.pyannote[2810].speaker SPEAKER_34
transcript.pyannote[2810].start 16207.84409375
transcript.pyannote[2810].end 16207.87784375
transcript.pyannote[2811].speaker SPEAKER_35
transcript.pyannote[2811].start 16207.87784375
transcript.pyannote[2811].end 16208.08034375
transcript.pyannote[2812].speaker SPEAKER_34
transcript.pyannote[2812].start 16208.08034375
transcript.pyannote[2812].end 16212.09659375
transcript.pyannote[2813].speaker SPEAKER_35
transcript.pyannote[2813].start 16211.62409375
transcript.pyannote[2813].end 16214.88096875
transcript.pyannote[2814].speaker SPEAKER_34
transcript.pyannote[2814].start 16215.28596875
transcript.pyannote[2814].end 16219.67346875
transcript.pyannote[2815].speaker SPEAKER_35
transcript.pyannote[2815].start 16218.96471875
transcript.pyannote[2815].end 16221.51284375
transcript.pyannote[2816].speaker SPEAKER_34
transcript.pyannote[2816].start 16220.83784375
transcript.pyannote[2816].end 16220.97284375
transcript.pyannote[2817].speaker SPEAKER_35
transcript.pyannote[2817].start 16222.84596875
transcript.pyannote[2817].end 16224.33096875
transcript.pyannote[2818].speaker SPEAKER_34
transcript.pyannote[2818].start 16225.76534375
transcript.pyannote[2818].end 16237.02096875
transcript.pyannote[2819].speaker SPEAKER_35
transcript.pyannote[2819].start 16236.39659375
transcript.pyannote[2819].end 16245.45846875
transcript.pyannote[2820].speaker SPEAKER_34
transcript.pyannote[2820].start 16245.45846875
transcript.pyannote[2820].end 16245.99846875
transcript.pyannote[2821].speaker SPEAKER_35
transcript.pyannote[2821].start 16245.99846875
transcript.pyannote[2821].end 16248.76596875
transcript.pyannote[2822].speaker SPEAKER_35
transcript.pyannote[2822].start 16252.02284375
transcript.pyannote[2822].end 16253.74409375
transcript.pyannote[2823].speaker SPEAKER_34
transcript.pyannote[2823].start 16253.74409375
transcript.pyannote[2823].end 16264.71284375
transcript.pyannote[2824].speaker SPEAKER_35
transcript.pyannote[2824].start 16263.32909375
transcript.pyannote[2824].end 16263.68346875
transcript.pyannote[2825].speaker SPEAKER_35
transcript.pyannote[2825].start 16264.22346875
transcript.pyannote[2825].end 16277.63909375
transcript.pyannote[2826].speaker SPEAKER_35
transcript.pyannote[2826].start 16277.97659375
transcript.pyannote[2826].end 16278.70221875
transcript.pyannote[2827].speaker SPEAKER_35
transcript.pyannote[2827].start 16279.17471875
transcript.pyannote[2827].end 16281.03096875
transcript.pyannote[2828].speaker SPEAKER_35
transcript.pyannote[2828].start 16281.85784375
transcript.pyannote[2828].end 16289.46846875
transcript.pyannote[2829].speaker SPEAKER_29
transcript.pyannote[2829].start 16291.37534375
transcript.pyannote[2829].end 16293.60284375
transcript.pyannote[2830].speaker SPEAKER_29
transcript.pyannote[2830].start 16294.29471875
transcript.pyannote[2830].end 16303.64346875
transcript.pyannote[2831].speaker SPEAKER_35
transcript.pyannote[2831].start 16301.80409375
transcript.pyannote[2831].end 16310.84909375
transcript.pyannote[2832].speaker SPEAKER_35
transcript.pyannote[2832].start 16311.62534375
transcript.pyannote[2832].end 16313.93721875
transcript.pyannote[2833].speaker SPEAKER_29
transcript.pyannote[2833].start 16311.64221875
transcript.pyannote[2833].end 16316.43471875
transcript.pyannote[2834].speaker SPEAKER_35
transcript.pyannote[2834].start 16315.43909375
transcript.pyannote[2834].end 16321.58159375
transcript.pyannote[2835].speaker SPEAKER_35
transcript.pyannote[2835].start 16322.02034375
transcript.pyannote[2835].end 16325.14221875
transcript.pyannote[2836].speaker SPEAKER_29
transcript.pyannote[2836].start 16322.37471875
transcript.pyannote[2836].end 16323.80909375
transcript.pyannote[2837].speaker SPEAKER_29
transcript.pyannote[2837].start 16325.14221875
transcript.pyannote[2837].end 16334.38971875
transcript.pyannote[2838].speaker SPEAKER_35
transcript.pyannote[2838].start 16326.32346875
transcript.pyannote[2838].end 16328.17971875
transcript.pyannote[2839].speaker SPEAKER_35
transcript.pyannote[2839].start 16333.17471875
transcript.pyannote[2839].end 16334.28846875
transcript.pyannote[2840].speaker SPEAKER_35
transcript.pyannote[2840].start 16334.38971875
transcript.pyannote[2840].end 16334.55846875
transcript.pyannote[2841].speaker SPEAKER_29
transcript.pyannote[2841].start 16334.55846875
transcript.pyannote[2841].end 16335.09846875
transcript.pyannote[2842].speaker SPEAKER_29
transcript.pyannote[2842].start 16336.29659375
transcript.pyannote[2842].end 16337.20784375
transcript.pyannote[2843].speaker SPEAKER_29
transcript.pyannote[2843].start 16337.44409375
transcript.pyannote[2843].end 16343.02971875
transcript.pyannote[2844].speaker SPEAKER_35
transcript.pyannote[2844].start 16343.02971875
transcript.pyannote[2844].end 16362.38534375
transcript.pyannote[2845].speaker SPEAKER_29
transcript.pyannote[2845].start 16346.70846875
transcript.pyannote[2845].end 16347.97409375
transcript.pyannote[2846].speaker SPEAKER_00
transcript.pyannote[2846].start 16347.97409375
transcript.pyannote[2846].end 16348.02471875
transcript.pyannote[2847].speaker SPEAKER_00
transcript.pyannote[2847].start 16353.47534375
transcript.pyannote[2847].end 16357.99784375
transcript.pyannote[2848].speaker SPEAKER_35
transcript.pyannote[2848].start 16362.82409375
transcript.pyannote[2848].end 16368.34221875
transcript.pyannote[2849].speaker SPEAKER_29
transcript.pyannote[2849].start 16369.23659375
transcript.pyannote[2849].end 16374.02909375
transcript.pyannote[2850].speaker SPEAKER_35
transcript.pyannote[2850].start 16374.02909375
transcript.pyannote[2850].end 16374.38346875
transcript.pyannote[2851].speaker SPEAKER_35
transcript.pyannote[2851].start 16374.56909375
transcript.pyannote[2851].end 16379.22659375
transcript.pyannote[2852].speaker SPEAKER_35
transcript.pyannote[2852].start 16379.56409375
transcript.pyannote[2852].end 16382.31471875
transcript.pyannote[2853].speaker SPEAKER_35
transcript.pyannote[2853].start 16382.77034375
transcript.pyannote[2853].end 16388.71034375
transcript.pyannote[2854].speaker SPEAKER_35
transcript.pyannote[2854].start 16389.21659375
transcript.pyannote[2854].end 16407.20534375
transcript.pyannote[2855].speaker SPEAKER_35
transcript.pyannote[2855].start 16407.76221875
transcript.pyannote[2855].end 16420.26659375
transcript.pyannote[2856].speaker SPEAKER_35
transcript.pyannote[2856].start 16421.41409375
transcript.pyannote[2856].end 16430.02034375
transcript.pyannote[2857].speaker SPEAKER_29
transcript.pyannote[2857].start 16430.02034375
transcript.pyannote[2857].end 16433.36159375
transcript.pyannote[2858].speaker SPEAKER_28
transcript.pyannote[2858].start 16433.05784375
transcript.pyannote[2858].end 16468.59659375
transcript.pyannote[2859].speaker SPEAKER_38
transcript.pyannote[2859].start 16468.30971875
transcript.pyannote[2859].end 16468.34346875
transcript.pyannote[2860].speaker SPEAKER_35
transcript.pyannote[2860].start 16468.59659375
transcript.pyannote[2860].end 16475.02596875
transcript.pyannote[2861].speaker SPEAKER_35
transcript.pyannote[2861].start 16475.36346875
transcript.pyannote[2861].end 16485.16784375
transcript.pyannote[2862].speaker SPEAKER_35
transcript.pyannote[2862].start 16485.47159375
transcript.pyannote[2862].end 16485.84284375
transcript.pyannote[2863].speaker SPEAKER_35
transcript.pyannote[2863].start 16486.63596875
transcript.pyannote[2863].end 16486.97346875
transcript.pyannote[2864].speaker SPEAKER_29
transcript.pyannote[2864].start 16486.97346875
transcript.pyannote[2864].end 16487.02409375
transcript.pyannote[2865].speaker SPEAKER_35
transcript.pyannote[2865].start 16487.02409375
transcript.pyannote[2865].end 16487.96909375
transcript.pyannote[2866].speaker SPEAKER_29
transcript.pyannote[2866].start 16487.96909375
transcript.pyannote[2866].end 16488.03659375
transcript.pyannote[2867].speaker SPEAKER_35
transcript.pyannote[2867].start 16488.03659375
transcript.pyannote[2867].end 16499.19096875
transcript.pyannote[2868].speaker SPEAKER_35
transcript.pyannote[2868].start 16499.29221875
transcript.pyannote[2868].end 16500.60846875
transcript.pyannote[2869].speaker SPEAKER_19
transcript.pyannote[2869].start 16500.70971875
transcript.pyannote[2869].end 16505.77221875
transcript.pyannote[2870].speaker SPEAKER_35
transcript.pyannote[2870].start 16506.68346875
transcript.pyannote[2870].end 16512.40409375
transcript.pyannote[2871].speaker SPEAKER_35
transcript.pyannote[2871].start 16512.97784375
transcript.pyannote[2871].end 16520.87534375
transcript.pyannote[2872].speaker SPEAKER_29
transcript.pyannote[2872].start 16519.54221875
transcript.pyannote[2872].end 16519.96409375
transcript.pyannote[2873].speaker SPEAKER_29
transcript.pyannote[2873].start 16520.87534375
transcript.pyannote[2873].end 16520.92596875
transcript.pyannote[2874].speaker SPEAKER_35
transcript.pyannote[2874].start 16520.92596875
transcript.pyannote[2874].end 16520.97659375
transcript.pyannote[2875].speaker SPEAKER_29
transcript.pyannote[2875].start 16520.97659375
transcript.pyannote[2875].end 16528.03034375
transcript.pyannote[2876].speaker SPEAKER_35
transcript.pyannote[2876].start 16528.03034375
transcript.pyannote[2876].end 16543.38659375
transcript.pyannote[2877].speaker SPEAKER_29
transcript.pyannote[2877].start 16545.69846875
transcript.pyannote[2877].end 16546.06971875
transcript.pyannote[2878].speaker SPEAKER_29
transcript.pyannote[2878].start 16546.71096875
transcript.pyannote[2878].end 16551.62159375
transcript.pyannote[2879].speaker SPEAKER_29
transcript.pyannote[2879].start 16551.90846875
transcript.pyannote[2879].end 16558.47284375
transcript.pyannote[2880].speaker SPEAKER_35
transcript.pyannote[2880].start 16551.95909375
transcript.pyannote[2880].end 16553.51159375
transcript.pyannote[2881].speaker SPEAKER_35
transcript.pyannote[2881].start 16554.28784375
transcript.pyannote[2881].end 16555.03034375
transcript.pyannote[2882].speaker SPEAKER_35
transcript.pyannote[2882].start 16559.58659375
transcript.pyannote[2882].end 16559.60346875
transcript.pyannote[2883].speaker SPEAKER_29
transcript.pyannote[2883].start 16559.60346875
transcript.pyannote[2883].end 16559.72159375
transcript.pyannote[2884].speaker SPEAKER_35
transcript.pyannote[2884].start 16559.72159375
transcript.pyannote[2884].end 16559.78909375
transcript.pyannote[2885].speaker SPEAKER_35
transcript.pyannote[2885].start 16559.97471875
transcript.pyannote[2885].end 16569.98159375
transcript.pyannote[2886].speaker SPEAKER_33
transcript.pyannote[2886].start 16564.19346875
transcript.pyannote[2886].end 16565.20596875
transcript.pyannote[2887].speaker SPEAKER_29
transcript.pyannote[2887].start 16569.66096875
transcript.pyannote[2887].end 16570.35284375
transcript.pyannote[2888].speaker SPEAKER_35
transcript.pyannote[2888].start 16570.35284375
transcript.pyannote[2888].end 16570.40346875
transcript.pyannote[2889].speaker SPEAKER_29
transcript.pyannote[2889].start 16570.40346875
transcript.pyannote[2889].end 16570.74096875
transcript.pyannote[2890].speaker SPEAKER_35
transcript.pyannote[2890].start 16570.74096875
transcript.pyannote[2890].end 16570.84221875
transcript.pyannote[2891].speaker SPEAKER_29
transcript.pyannote[2891].start 16570.84221875
transcript.pyannote[2891].end 16573.12034375
transcript.pyannote[2892].speaker SPEAKER_29
transcript.pyannote[2892].start 16573.60971875
transcript.pyannote[2892].end 16574.67284375
transcript.pyannote[2893].speaker SPEAKER_29
transcript.pyannote[2893].start 16575.73596875
transcript.pyannote[2893].end 16579.00971875
transcript.pyannote[2894].speaker SPEAKER_29
transcript.pyannote[2894].start 16579.33034375
transcript.pyannote[2894].end 16581.54096875
transcript.pyannote[2895].speaker SPEAKER_35
transcript.pyannote[2895].start 16581.54096875
transcript.pyannote[2895].end 16587.22784375
transcript.pyannote[2896].speaker SPEAKER_29
transcript.pyannote[2896].start 16581.55784375
transcript.pyannote[2896].end 16581.92909375
transcript.pyannote[2897].speaker SPEAKER_35
transcript.pyannote[2897].start 16589.18534375
transcript.pyannote[2897].end 16590.61971875
transcript.pyannote[2898].speaker SPEAKER_29
transcript.pyannote[2898].start 16590.61971875
transcript.pyannote[2898].end 16590.65346875
transcript.pyannote[2899].speaker SPEAKER_29
transcript.pyannote[2899].start 16591.05846875
transcript.pyannote[2899].end 16592.89784375
transcript.pyannote[2900].speaker SPEAKER_29
transcript.pyannote[2900].start 16593.30284375
transcript.pyannote[2900].end 16594.50096875
transcript.pyannote[2901].speaker SPEAKER_19
transcript.pyannote[2901].start 16594.45034375
transcript.pyannote[2901].end 16596.42471875
transcript.pyannote[2902].speaker SPEAKER_19
transcript.pyannote[2902].start 16596.64409375
transcript.pyannote[2902].end 16607.07284375
transcript.pyannote[2903].speaker SPEAKER_35
transcript.pyannote[2903].start 16607.29221875
transcript.pyannote[2903].end 16626.12471875
transcript.pyannote[2904].speaker SPEAKER_35
transcript.pyannote[2904].start 16626.64784375
transcript.pyannote[2904].end 16627.55909375
transcript.pyannote[2905].speaker SPEAKER_35
transcript.pyannote[2905].start 16628.20034375
transcript.pyannote[2905].end 16630.57971875
transcript.pyannote[2906].speaker SPEAKER_35
transcript.pyannote[2906].start 16631.25471875
transcript.pyannote[2906].end 16632.41909375
transcript.pyannote[2907].speaker SPEAKER_35
transcript.pyannote[2907].start 16632.94221875
transcript.pyannote[2907].end 16637.02596875
transcript.pyannote[2908].speaker SPEAKER_29
transcript.pyannote[2908].start 16635.92909375
transcript.pyannote[2908].end 16649.61471875
transcript.pyannote[2909].speaker SPEAKER_35
transcript.pyannote[2909].start 16647.62346875
transcript.pyannote[2909].end 16657.96784375
transcript.pyannote[2910].speaker SPEAKER_29
transcript.pyannote[2910].start 16656.58409375
transcript.pyannote[2910].end 16656.90471875
transcript.pyannote[2911].speaker SPEAKER_29
transcript.pyannote[2911].start 16657.96784375
transcript.pyannote[2911].end 16658.05221875
transcript.pyannote[2912].speaker SPEAKER_35
transcript.pyannote[2912].start 16658.05221875
transcript.pyannote[2912].end 16658.76096875
transcript.pyannote[2913].speaker SPEAKER_07
transcript.pyannote[2913].start 16661.27534375
transcript.pyannote[2913].end 16661.69721875
transcript.pyannote[2914].speaker SPEAKER_07
transcript.pyannote[2914].start 16662.23721875
transcript.pyannote[2914].end 16663.97534375
transcript.pyannote[2915].speaker SPEAKER_08
transcript.pyannote[2915].start 16663.97534375
transcript.pyannote[2915].end 16664.88659375
transcript.pyannote[2916].speaker SPEAKER_08
transcript.pyannote[2916].start 16664.97096875
transcript.pyannote[2916].end 16665.03846875
transcript.pyannote[2917].speaker SPEAKER_08
transcript.pyannote[2917].start 16665.13971875
transcript.pyannote[2917].end 16668.63284375
transcript.pyannote[2918].speaker SPEAKER_08
transcript.pyannote[2918].start 16668.83534375
transcript.pyannote[2918].end 16671.72096875
transcript.pyannote[2919].speaker SPEAKER_08
transcript.pyannote[2919].start 16672.04159375
transcript.pyannote[2919].end 16673.96534375
transcript.pyannote[2920].speaker SPEAKER_08
transcript.pyannote[2920].start 16676.27721875
transcript.pyannote[2920].end 16680.74909375
transcript.pyannote[2921].speaker SPEAKER_16
transcript.pyannote[2921].start 16681.60971875
transcript.pyannote[2921].end 16681.74471875
transcript.pyannote[2922].speaker SPEAKER_16
transcript.pyannote[2922].start 16685.67659375
transcript.pyannote[2922].end 16695.73409375
transcript.pyannote[2923].speaker SPEAKER_16
transcript.pyannote[2923].start 16696.30784375
transcript.pyannote[2923].end 16698.02909375
transcript.pyannote[2924].speaker SPEAKER_16
transcript.pyannote[2924].start 16698.75471875
transcript.pyannote[2924].end 16700.22284375
transcript.pyannote[2925].speaker SPEAKER_16
transcript.pyannote[2925].start 16701.08346875
transcript.pyannote[2925].end 16701.92721875
transcript.pyannote[2926].speaker SPEAKER_25
transcript.pyannote[2926].start 16707.10784375
transcript.pyannote[2926].end 16707.61409375
transcript.pyannote[2927].speaker SPEAKER_25
transcript.pyannote[2927].start 16707.66471875
transcript.pyannote[2927].end 16707.68159375
transcript.pyannote[2928].speaker SPEAKER_16
transcript.pyannote[2928].start 16707.68159375
transcript.pyannote[2928].end 16747.60784375
transcript.pyannote[2929].speaker SPEAKER_00
transcript.pyannote[2929].start 16715.81534375
transcript.pyannote[2929].end 16716.62534375
transcript.pyannote[2930].speaker SPEAKER_00
transcript.pyannote[2930].start 16717.68846875
transcript.pyannote[2930].end 16718.00909375
transcript.pyannote[2931].speaker SPEAKER_13
transcript.pyannote[2931].start 16727.72909375
transcript.pyannote[2931].end 16727.96534375
transcript.pyannote[2932].speaker SPEAKER_38
transcript.pyannote[2932].start 16747.28721875
transcript.pyannote[2932].end 16747.75971875
transcript.pyannote[2933].speaker SPEAKER_16
transcript.pyannote[2933].start 16748.40096875
transcript.pyannote[2933].end 16748.60346875
transcript.pyannote[2934].speaker SPEAKER_16
transcript.pyannote[2934].start 16749.32909375
transcript.pyannote[2934].end 16754.67846875
transcript.pyannote[2935].speaker SPEAKER_38
transcript.pyannote[2935].start 16754.67846875
transcript.pyannote[2935].end 16754.84721875
transcript.pyannote[2936].speaker SPEAKER_16
transcript.pyannote[2936].start 16754.76284375
transcript.pyannote[2936].end 16758.30659375
transcript.pyannote[2937].speaker SPEAKER_16
transcript.pyannote[2937].start 16759.65659375
transcript.pyannote[2937].end 16761.02346875
transcript.pyannote[2938].speaker SPEAKER_38
transcript.pyannote[2938].start 16761.24284375
transcript.pyannote[2938].end 16761.42846875
transcript.pyannote[2939].speaker SPEAKER_16
transcript.pyannote[2939].start 16761.47909375
transcript.pyannote[2939].end 16766.64284375
transcript.pyannote[2940].speaker SPEAKER_29
transcript.pyannote[2940].start 16766.96346875
transcript.pyannote[2940].end 16768.44846875
transcript.pyannote[2941].speaker SPEAKER_16
transcript.pyannote[2941].start 16775.16471875
transcript.pyannote[2941].end 16797.87846875
transcript.pyannote[2942].speaker SPEAKER_16
transcript.pyannote[2942].start 16798.87409375
transcript.pyannote[2942].end 16808.32409375
transcript.pyannote[2943].speaker SPEAKER_02
transcript.pyannote[2943].start 16811.10846875
transcript.pyannote[2943].end 16831.64534375
transcript.pyannote[2944].speaker SPEAKER_00
transcript.pyannote[2944].start 16821.72284375
transcript.pyannote[2944].end 16821.90846875
transcript.pyannote[2945].speaker SPEAKER_00
transcript.pyannote[2945].start 16821.92534375
transcript.pyannote[2945].end 16821.94221875
transcript.pyannote[2946].speaker SPEAKER_16
transcript.pyannote[2946].start 16832.60721875
transcript.pyannote[2946].end 16833.21471875
transcript.pyannote[2947].speaker SPEAKER_16
transcript.pyannote[2947].start 16833.75471875
transcript.pyannote[2947].end 16839.05346875
transcript.pyannote[2948].speaker SPEAKER_02
transcript.pyannote[2948].start 16836.92721875
transcript.pyannote[2948].end 16837.29846875
transcript.pyannote[2949].speaker SPEAKER_02
transcript.pyannote[2949].start 16839.18846875
transcript.pyannote[2949].end 16843.17096875
transcript.pyannote[2950].speaker SPEAKER_16
transcript.pyannote[2950].start 16842.20909375
transcript.pyannote[2950].end 16868.70284375
transcript.pyannote[2951].speaker SPEAKER_02
transcript.pyannote[2951].start 16844.94284375
transcript.pyannote[2951].end 16845.46596875
transcript.pyannote[2952].speaker SPEAKER_25
transcript.pyannote[2952].start 16858.93221875
transcript.pyannote[2952].end 16859.40471875
transcript.pyannote[2953].speaker SPEAKER_25
transcript.pyannote[2953].start 16859.97846875
transcript.pyannote[2953].end 16860.21471875
transcript.pyannote[2954].speaker SPEAKER_02
transcript.pyannote[2954].start 16869.41159375
transcript.pyannote[2954].end 16872.78659375
transcript.pyannote[2955].speaker SPEAKER_16
transcript.pyannote[2955].start 16873.22534375
transcript.pyannote[2955].end 16880.29596875
transcript.pyannote[2956].speaker SPEAKER_02
transcript.pyannote[2956].start 16880.80221875
transcript.pyannote[2956].end 16887.99096875
transcript.pyannote[2957].speaker SPEAKER_16
transcript.pyannote[2957].start 16886.89409375
transcript.pyannote[2957].end 16890.74159375
transcript.pyannote[2958].speaker SPEAKER_16
transcript.pyannote[2958].start 16890.89346875
transcript.pyannote[2958].end 16894.52159375
transcript.pyannote[2959].speaker SPEAKER_16
transcript.pyannote[2959].start 16894.90971875
transcript.pyannote[2959].end 16895.53409375
transcript.pyannote[2960].speaker SPEAKER_16
transcript.pyannote[2960].start 16895.88846875
transcript.pyannote[2960].end 16897.28909375
transcript.pyannote[2961].speaker SPEAKER_16
transcript.pyannote[2961].start 16897.52534375
transcript.pyannote[2961].end 16929.41909375
transcript.pyannote[2962].speaker SPEAKER_16
transcript.pyannote[2962].start 16930.16159375
transcript.pyannote[2962].end 16937.43471875
transcript.pyannote[2963].speaker SPEAKER_16
transcript.pyannote[2963].start 16938.59909375
transcript.pyannote[2963].end 16943.40846875
transcript.pyannote[2964].speaker SPEAKER_02
transcript.pyannote[2964].start 16943.40846875
transcript.pyannote[2964].end 16952.62221875
transcript.pyannote[2965].speaker SPEAKER_16
transcript.pyannote[2965].start 16952.68971875
transcript.pyannote[2965].end 16953.34784375
transcript.pyannote[2966].speaker SPEAKER_16
transcript.pyannote[2966].start 16953.98909375
transcript.pyannote[2966].end 16955.30534375
transcript.pyannote[2967].speaker SPEAKER_12
transcript.pyannote[2967].start 16955.86221875
transcript.pyannote[2967].end 16975.94346875
transcript.pyannote[2968].speaker SPEAKER_16
transcript.pyannote[2968].start 16964.40096875
transcript.pyannote[2968].end 16965.48096875
transcript.pyannote[2969].speaker SPEAKER_16
transcript.pyannote[2969].start 16966.29096875
transcript.pyannote[2969].end 16970.98221875
transcript.pyannote[2970].speaker SPEAKER_16
transcript.pyannote[2970].start 16972.33221875
transcript.pyannote[2970].end 16981.36034375
transcript.pyannote[2971].speaker SPEAKER_16
transcript.pyannote[2971].start 16981.76534375
transcript.pyannote[2971].end 16990.72596875
transcript.pyannote[2972].speaker SPEAKER_13
transcript.pyannote[2972].start 16989.15659375
transcript.pyannote[2972].end 16990.52346875
transcript.pyannote[2973].speaker SPEAKER_16
transcript.pyannote[2973].start 16991.62034375
transcript.pyannote[2973].end 16999.18034375
transcript.pyannote[2974].speaker SPEAKER_02
transcript.pyannote[2974].start 17002.60596875
transcript.pyannote[2974].end 17004.36096875
transcript.pyannote[2975].speaker SPEAKER_16
transcript.pyannote[2975].start 17004.32721875
transcript.pyannote[2975].end 17006.18346875
transcript.pyannote[2976].speaker SPEAKER_02
transcript.pyannote[2976].start 17004.39471875
transcript.pyannote[2976].end 17004.41159375
transcript.pyannote[2977].speaker SPEAKER_02
transcript.pyannote[2977].start 17006.18346875
transcript.pyannote[2977].end 17006.38596875
transcript.pyannote[2978].speaker SPEAKER_02
transcript.pyannote[2978].start 17006.75721875
transcript.pyannote[2978].end 17010.92534375
transcript.pyannote[2979].speaker SPEAKER_16
transcript.pyannote[2979].start 17011.88721875
transcript.pyannote[2979].end 17013.52409375
transcript.pyannote[2980].speaker SPEAKER_02
transcript.pyannote[2980].start 17013.84471875
transcript.pyannote[2980].end 17014.87409375
transcript.pyannote[2981].speaker SPEAKER_16
transcript.pyannote[2981].start 17015.56596875
transcript.pyannote[2981].end 17018.41784375
transcript.pyannote[2982].speaker SPEAKER_16
transcript.pyannote[2982].start 17018.62034375
transcript.pyannote[2982].end 17019.95346875
transcript.pyannote[2983].speaker SPEAKER_02
transcript.pyannote[2983].start 17020.74659375
transcript.pyannote[2983].end 17021.65784375
transcript.pyannote[2984].speaker SPEAKER_16
transcript.pyannote[2984].start 17021.72534375
transcript.pyannote[2984].end 17022.78846875
transcript.pyannote[2985].speaker SPEAKER_16
transcript.pyannote[2985].start 17023.24409375
transcript.pyannote[2985].end 17025.26909375
transcript.pyannote[2986].speaker SPEAKER_16
transcript.pyannote[2986].start 17026.31534375
transcript.pyannote[2986].end 17027.86784375
transcript.pyannote[2987].speaker SPEAKER_16
transcript.pyannote[2987].start 17027.98596875
transcript.pyannote[2987].end 17030.55096875
transcript.pyannote[2988].speaker SPEAKER_43
transcript.pyannote[2988].start 17030.78721875
transcript.pyannote[2988].end 17031.19221875
transcript.pyannote[2989].speaker SPEAKER_16
transcript.pyannote[2989].start 17032.77846875
transcript.pyannote[2989].end 17034.70221875
transcript.pyannote[2990].speaker SPEAKER_16
transcript.pyannote[2990].start 17035.51221875
transcript.pyannote[2990].end 17037.55409375
transcript.pyannote[2991].speaker SPEAKER_16
transcript.pyannote[2991].start 17039.76471875
transcript.pyannote[2991].end 17044.77659375
transcript.pyannote[2992].speaker SPEAKER_16
transcript.pyannote[2992].start 17044.82721875
transcript.pyannote[2992].end 17050.56471875
transcript.pyannote[2993].speaker SPEAKER_17
transcript.pyannote[2993].start 17050.56471875
transcript.pyannote[2993].end 17050.58159375
transcript.pyannote[2994].speaker SPEAKER_38
transcript.pyannote[2994].start 17050.58159375
transcript.pyannote[2994].end 17050.86846875
transcript.pyannote[2995].speaker SPEAKER_16
transcript.pyannote[2995].start 17050.80096875
transcript.pyannote[2995].end 17052.89346875
transcript.pyannote[2996].speaker SPEAKER_17
transcript.pyannote[2996].start 17050.86846875
transcript.pyannote[2996].end 17050.88534375
transcript.pyannote[2997].speaker SPEAKER_38
transcript.pyannote[2997].start 17050.88534375
transcript.pyannote[2997].end 17050.90221875
transcript.pyannote[2998].speaker SPEAKER_16
transcript.pyannote[2998].start 17054.04096875
transcript.pyannote[2998].end 17055.72846875
transcript.pyannote[2999].speaker SPEAKER_16
transcript.pyannote[2999].start 17056.77471875
transcript.pyannote[2999].end 17068.45221875
transcript.pyannote[3000].speaker SPEAKER_16
transcript.pyannote[3000].start 17068.97534375
transcript.pyannote[3000].end 17072.72159375
transcript.pyannote[3001].speaker SPEAKER_16
transcript.pyannote[3001].start 17072.83971875
transcript.pyannote[3001].end 17080.12971875
transcript.pyannote[3002].speaker SPEAKER_38
transcript.pyannote[3002].start 17072.97471875
transcript.pyannote[3002].end 17073.19409375
transcript.pyannote[3003].speaker SPEAKER_16
transcript.pyannote[3003].start 17080.63596875
transcript.pyannote[3003].end 17091.63846875
transcript.pyannote[3004].speaker SPEAKER_16
transcript.pyannote[3004].start 17092.22909375
transcript.pyannote[3004].end 17096.78534375
transcript.pyannote[3005].speaker SPEAKER_16
transcript.pyannote[3005].start 17098.08471875
transcript.pyannote[3005].end 17100.86909375
transcript.pyannote[3006].speaker SPEAKER_16
transcript.pyannote[3006].start 17101.22346875
transcript.pyannote[3006].end 17103.70409375
transcript.pyannote[3007].speaker SPEAKER_29
transcript.pyannote[3007].start 17103.88971875
transcript.pyannote[3007].end 17110.36971875
transcript.pyannote[3008].speaker SPEAKER_15
transcript.pyannote[3008].start 17111.17971875
transcript.pyannote[3008].end 17134.12971875
transcript.pyannote[3009].speaker SPEAKER_16
transcript.pyannote[3009].start 17131.58159375
transcript.pyannote[3009].end 17131.98659375
transcript.pyannote[3010].speaker SPEAKER_16
transcript.pyannote[3010].start 17133.99471875
transcript.pyannote[3010].end 17136.62721875
transcript.pyannote[3011].speaker SPEAKER_16
transcript.pyannote[3011].start 17136.93096875
transcript.pyannote[3011].end 17140.50846875
transcript.pyannote[3012].speaker SPEAKER_07
transcript.pyannote[3012].start 17140.60971875
transcript.pyannote[3012].end 17140.62659375
transcript.pyannote[3013].speaker SPEAKER_08
transcript.pyannote[3013].start 17140.62659375
transcript.pyannote[3013].end 17142.38159375
transcript.pyannote[3014].speaker SPEAKER_08
transcript.pyannote[3014].start 17143.57971875
transcript.pyannote[3014].end 17145.57096875
transcript.pyannote[3015].speaker SPEAKER_08
transcript.pyannote[3015].start 17146.07721875
transcript.pyannote[3015].end 17146.88721875
transcript.pyannote[3016].speaker SPEAKER_07
transcript.pyannote[3016].start 17146.88721875
transcript.pyannote[3016].end 17146.90409375
transcript.pyannote[3017].speaker SPEAKER_09
transcript.pyannote[3017].start 17152.65846875
transcript.pyannote[3017].end 17155.22346875
transcript.pyannote[3018].speaker SPEAKER_09
transcript.pyannote[3018].start 17157.82221875
transcript.pyannote[3018].end 17158.12596875
transcript.pyannote[3019].speaker SPEAKER_38
transcript.pyannote[3019].start 17160.31971875
transcript.pyannote[3019].end 17160.80909375
transcript.pyannote[3020].speaker SPEAKER_09
transcript.pyannote[3020].start 17160.40409375
transcript.pyannote[3020].end 17160.45471875
transcript.pyannote[3021].speaker SPEAKER_09
transcript.pyannote[3021].start 17161.16346875
transcript.pyannote[3021].end 17161.55159375
transcript.pyannote[3022].speaker SPEAKER_09
transcript.pyannote[3022].start 17161.93971875
transcript.pyannote[3022].end 17180.38409375
transcript.pyannote[3023].speaker SPEAKER_38
transcript.pyannote[3023].start 17180.02971875
transcript.pyannote[3023].end 17180.83971875
transcript.pyannote[3024].speaker SPEAKER_09
transcript.pyannote[3024].start 17180.83971875
transcript.pyannote[3024].end 17185.49721875
transcript.pyannote[3025].speaker SPEAKER_09
transcript.pyannote[3025].start 17185.78409375
transcript.pyannote[3025].end 17186.42534375
transcript.pyannote[3026].speaker SPEAKER_09
transcript.pyannote[3026].start 17187.04971875
transcript.pyannote[3026].end 17188.58534375
transcript.pyannote[3027].speaker SPEAKER_29
transcript.pyannote[3027].start 17187.06659375
transcript.pyannote[3027].end 17190.49221875
transcript.pyannote[3028].speaker SPEAKER_29
transcript.pyannote[3028].start 17190.88034375
transcript.pyannote[3028].end 17192.14596875
transcript.pyannote[3029].speaker SPEAKER_09
transcript.pyannote[3029].start 17190.96471875
transcript.pyannote[3029].end 17199.04784375
transcript.pyannote[3030].speaker SPEAKER_09
transcript.pyannote[3030].start 17199.21659375
transcript.pyannote[3030].end 17207.40096875
transcript.pyannote[3031].speaker SPEAKER_38
transcript.pyannote[3031].start 17207.40096875
transcript.pyannote[3031].end 17207.80596875
transcript.pyannote[3032].speaker SPEAKER_09
transcript.pyannote[3032].start 17208.05909375
transcript.pyannote[3032].end 17216.78346875
transcript.pyannote[3033].speaker SPEAKER_38
transcript.pyannote[3033].start 17208.73409375
transcript.pyannote[3033].end 17208.97034375
transcript.pyannote[3034].speaker SPEAKER_29
transcript.pyannote[3034].start 17217.30659375
transcript.pyannote[3034].end 17223.87096875
transcript.pyannote[3035].speaker SPEAKER_09
transcript.pyannote[3035].start 17222.77409375
transcript.pyannote[3035].end 17227.93784375
transcript.pyannote[3036].speaker SPEAKER_09
transcript.pyannote[3036].start 17228.46096875
transcript.pyannote[3036].end 17230.68846875
transcript.pyannote[3037].speaker SPEAKER_29
transcript.pyannote[3037].start 17230.68846875
transcript.pyannote[3037].end 17232.88221875
transcript.pyannote[3038].speaker SPEAKER_29
transcript.pyannote[3038].start 17233.28721875
transcript.pyannote[3038].end 17236.64534375
transcript.pyannote[3039].speaker SPEAKER_09
transcript.pyannote[3039].start 17233.65846875
transcript.pyannote[3039].end 17235.29534375
transcript.pyannote[3040].speaker SPEAKER_09
transcript.pyannote[3040].start 17236.91534375
transcript.pyannote[3040].end 17240.94846875
transcript.pyannote[3041].speaker SPEAKER_29
transcript.pyannote[3041].start 17239.17659375
transcript.pyannote[3041].end 17254.12784375
transcript.pyannote[3042].speaker SPEAKER_09
transcript.pyannote[3042].start 17241.57284375
transcript.pyannote[3042].end 17242.19721875
transcript.pyannote[3043].speaker SPEAKER_09
transcript.pyannote[3043].start 17254.19534375
transcript.pyannote[3043].end 17259.89909375
transcript.pyannote[3044].speaker SPEAKER_09
transcript.pyannote[3044].start 17259.91596875
transcript.pyannote[3044].end 17265.85596875
transcript.pyannote[3045].speaker SPEAKER_29
transcript.pyannote[3045].start 17264.53971875
transcript.pyannote[3045].end 17267.61096875
transcript.pyannote[3046].speaker SPEAKER_09
transcript.pyannote[3046].start 17267.00346875
transcript.pyannote[3046].end 17270.24346875
transcript.pyannote[3047].speaker SPEAKER_09
transcript.pyannote[3047].start 17270.69909375
transcript.pyannote[3047].end 17272.42034375
transcript.pyannote[3048].speaker SPEAKER_09
transcript.pyannote[3048].start 17272.52159375
transcript.pyannote[3048].end 17276.01471875
transcript.pyannote[3049].speaker SPEAKER_38
transcript.pyannote[3049].start 17276.18346875
transcript.pyannote[3049].end 17276.50409375
transcript.pyannote[3050].speaker SPEAKER_09
transcript.pyannote[3050].start 17276.45346875
transcript.pyannote[3050].end 17295.06659375
transcript.pyannote[3051].speaker SPEAKER_38
transcript.pyannote[3051].start 17281.87034375
transcript.pyannote[3051].end 17282.44409375
transcript.pyannote[3052].speaker SPEAKER_29
transcript.pyannote[3052].start 17294.18909375
transcript.pyannote[3052].end 17304.29721875
transcript.pyannote[3053].speaker SPEAKER_09
transcript.pyannote[3053].start 17301.56346875
transcript.pyannote[3053].end 17303.35221875
transcript.pyannote[3054].speaker SPEAKER_09
transcript.pyannote[3054].start 17303.77409375
transcript.pyannote[3054].end 17333.45721875
transcript.pyannote[3055].speaker SPEAKER_29
transcript.pyannote[3055].start 17305.84971875
transcript.pyannote[3055].end 17307.67221875
transcript.pyannote[3056].speaker SPEAKER_36
transcript.pyannote[3056].start 17307.67221875
transcript.pyannote[3056].end 17307.70596875
transcript.pyannote[3057].speaker SPEAKER_36
transcript.pyannote[3057].start 17309.32596875
transcript.pyannote[3057].end 17313.57846875
transcript.pyannote[3058].speaker SPEAKER_29
transcript.pyannote[3058].start 17325.71159375
transcript.pyannote[3058].end 17329.69409375
transcript.pyannote[3059].speaker SPEAKER_29
transcript.pyannote[3059].start 17330.14971875
transcript.pyannote[3059].end 17330.87534375
transcript.pyannote[3060].speaker SPEAKER_29
transcript.pyannote[3060].start 17331.82034375
transcript.pyannote[3060].end 17334.41909375
transcript.pyannote[3061].speaker SPEAKER_09
transcript.pyannote[3061].start 17334.70596875
transcript.pyannote[3061].end 17342.14784375
transcript.pyannote[3062].speaker SPEAKER_29
transcript.pyannote[3062].start 17340.98346875
transcript.pyannote[3062].end 17345.64096875
transcript.pyannote[3063].speaker SPEAKER_09
transcript.pyannote[3063].start 17346.14721875
transcript.pyannote[3063].end 17349.75846875
transcript.pyannote[3064].speaker SPEAKER_29
transcript.pyannote[3064].start 17349.26909375
transcript.pyannote[3064].end 17353.96034375
transcript.pyannote[3065].speaker SPEAKER_09
transcript.pyannote[3065].start 17351.26034375
transcript.pyannote[3065].end 17357.40284375
transcript.pyannote[3066].speaker SPEAKER_29
transcript.pyannote[3066].start 17354.77034375
transcript.pyannote[3066].end 17355.58034375
transcript.pyannote[3067].speaker SPEAKER_09
transcript.pyannote[3067].start 17357.80784375
transcript.pyannote[3067].end 17358.92159375
transcript.pyannote[3068].speaker SPEAKER_09
transcript.pyannote[3068].start 17359.44471875
transcript.pyannote[3068].end 17361.09846875
transcript.pyannote[3069].speaker SPEAKER_29
transcript.pyannote[3069].start 17360.35596875
transcript.pyannote[3069].end 17363.42721875
transcript.pyannote[3070].speaker SPEAKER_09
transcript.pyannote[3070].start 17362.70159375
transcript.pyannote[3070].end 17364.11909375
transcript.pyannote[3071].speaker SPEAKER_29
transcript.pyannote[3071].start 17364.37221875
transcript.pyannote[3071].end 17365.24971875
transcript.pyannote[3072].speaker SPEAKER_09
transcript.pyannote[3072].start 17364.54096875
transcript.pyannote[3072].end 17367.79784375
transcript.pyannote[3073].speaker SPEAKER_09
transcript.pyannote[3073].start 17367.96659375
transcript.pyannote[3073].end 17382.51284375
transcript.pyannote[3074].speaker SPEAKER_09
transcript.pyannote[3074].start 17382.81659375
transcript.pyannote[3074].end 17390.03909375
transcript.pyannote[3075].speaker SPEAKER_09
transcript.pyannote[3075].start 17390.22471875
transcript.pyannote[3075].end 17392.04721875
transcript.pyannote[3076].speaker SPEAKER_09
transcript.pyannote[3076].start 17392.30034375
transcript.pyannote[3076].end 17392.99221875
transcript.pyannote[3077].speaker SPEAKER_29
transcript.pyannote[3077].start 17395.03409375
transcript.pyannote[3077].end 17395.60784375
transcript.pyannote[3078].speaker SPEAKER_09
transcript.pyannote[3078].start 17395.45596875
transcript.pyannote[3078].end 17395.74284375
transcript.pyannote[3079].speaker SPEAKER_29
transcript.pyannote[3079].start 17396.33346875
transcript.pyannote[3079].end 17396.58659375
transcript.pyannote[3080].speaker SPEAKER_09
transcript.pyannote[3080].start 17396.58659375
transcript.pyannote[3080].end 17397.90284375
transcript.pyannote[3081].speaker SPEAKER_09
transcript.pyannote[3081].start 17398.22346875
transcript.pyannote[3081].end 17399.06721875
transcript.pyannote[3082].speaker SPEAKER_29
transcript.pyannote[3082].start 17399.47221875
transcript.pyannote[3082].end 17401.59846875
transcript.pyannote[3083].speaker SPEAKER_09
transcript.pyannote[3083].start 17400.92346875
transcript.pyannote[3083].end 17402.40846875
transcript.pyannote[3084].speaker SPEAKER_29
transcript.pyannote[3084].start 17402.02034375
transcript.pyannote[3084].end 17407.42034375
transcript.pyannote[3085].speaker SPEAKER_40
transcript.pyannote[3085].start 17407.36971875
transcript.pyannote[3085].end 17407.77471875
transcript.pyannote[3086].speaker SPEAKER_29
transcript.pyannote[3086].start 17407.72409375
transcript.pyannote[3086].end 17419.63784375
transcript.pyannote[3087].speaker SPEAKER_29
transcript.pyannote[3087].start 17420.26221875
transcript.pyannote[3087].end 17422.05096875
transcript.pyannote[3088].speaker SPEAKER_29
transcript.pyannote[3088].start 17422.52346875
transcript.pyannote[3088].end 17423.13096875
transcript.pyannote[3089].speaker SPEAKER_29
transcript.pyannote[3089].start 17424.04221875
transcript.pyannote[3089].end 17424.27846875
transcript.pyannote[3090].speaker SPEAKER_29
transcript.pyannote[3090].start 17425.37534375
transcript.pyannote[3090].end 17430.89346875
transcript.pyannote[3091].speaker SPEAKER_09
transcript.pyannote[3091].start 17428.44659375
transcript.pyannote[3091].end 17430.33659375
transcript.pyannote[3092].speaker SPEAKER_09
transcript.pyannote[3092].start 17430.89346875
transcript.pyannote[3092].end 17431.70346875
transcript.pyannote[3093].speaker SPEAKER_29
transcript.pyannote[3093].start 17430.91034375
transcript.pyannote[3093].end 17431.21409375
transcript.pyannote[3094].speaker SPEAKER_29
transcript.pyannote[3094].start 17431.66971875
transcript.pyannote[3094].end 17434.53846875
transcript.pyannote[3095].speaker SPEAKER_09
transcript.pyannote[3095].start 17433.15471875
transcript.pyannote[3095].end 17433.27284375
transcript.pyannote[3096].speaker SPEAKER_09
transcript.pyannote[3096].start 17434.38659375
transcript.pyannote[3096].end 17437.93034375
transcript.pyannote[3097].speaker SPEAKER_29
transcript.pyannote[3097].start 17436.09096875
transcript.pyannote[3097].end 17436.61409375
transcript.pyannote[3098].speaker SPEAKER_29
transcript.pyannote[3098].start 17437.10346875
transcript.pyannote[3098].end 17439.78659375
transcript.pyannote[3099].speaker SPEAKER_29
transcript.pyannote[3099].start 17439.97221875
transcript.pyannote[3099].end 17446.09784375
transcript.pyannote[3100].speaker SPEAKER_03
transcript.pyannote[3100].start 17446.09784375
transcript.pyannote[3100].end 17447.38034375
transcript.pyannote[3101].speaker SPEAKER_29
transcript.pyannote[3101].start 17446.13159375
transcript.pyannote[3101].end 17446.18221875
transcript.pyannote[3102].speaker SPEAKER_29
transcript.pyannote[3102].start 17446.62096875
transcript.pyannote[3102].end 17451.68346875
transcript.pyannote[3103].speaker SPEAKER_09
transcript.pyannote[3103].start 17451.81846875
transcript.pyannote[3103].end 17464.12034375
transcript.pyannote[3104].speaker SPEAKER_29
transcript.pyannote[3104].start 17452.17284375
transcript.pyannote[3104].end 17452.18971875
transcript.pyannote[3105].speaker SPEAKER_29
transcript.pyannote[3105].start 17452.47659375
transcript.pyannote[3105].end 17453.64096875
transcript.pyannote[3106].speaker SPEAKER_09
transcript.pyannote[3106].start 17464.27221875
transcript.pyannote[3106].end 17464.33971875
transcript.pyannote[3107].speaker SPEAKER_29
transcript.pyannote[3107].start 17464.33971875
transcript.pyannote[3107].end 17465.23409375
transcript.pyannote[3108].speaker SPEAKER_09
transcript.pyannote[3108].start 17464.35659375
transcript.pyannote[3108].end 17466.88784375
transcript.pyannote[3109].speaker SPEAKER_29
transcript.pyannote[3109].start 17465.70659375
transcript.pyannote[3109].end 17471.47784375
transcript.pyannote[3110].speaker SPEAKER_29
transcript.pyannote[3110].start 17471.74784375
transcript.pyannote[3110].end 17471.78159375
transcript.pyannote[3111].speaker SPEAKER_36
transcript.pyannote[3111].start 17471.78159375
transcript.pyannote[3111].end 17471.84909375
transcript.pyannote[3112].speaker SPEAKER_29
transcript.pyannote[3112].start 17471.84909375
transcript.pyannote[3112].end 17472.47346875
transcript.pyannote[3113].speaker SPEAKER_29
transcript.pyannote[3113].start 17472.64221875
transcript.pyannote[3113].end 17472.70971875
transcript.pyannote[3114].speaker SPEAKER_36
transcript.pyannote[3114].start 17472.70971875
transcript.pyannote[3114].end 17472.92909375
transcript.pyannote[3115].speaker SPEAKER_29
transcript.pyannote[3115].start 17472.92909375
transcript.pyannote[3115].end 17473.01346875
transcript.pyannote[3116].speaker SPEAKER_36
transcript.pyannote[3116].start 17473.72221875
transcript.pyannote[3116].end 17479.18971875
transcript.pyannote[3117].speaker SPEAKER_29
transcript.pyannote[3117].start 17476.43909375
transcript.pyannote[3117].end 17476.94534375
transcript.pyannote[3118].speaker SPEAKER_36
transcript.pyannote[3118].start 17479.37534375
transcript.pyannote[3118].end 17479.39221875
transcript.pyannote[3119].speaker SPEAKER_22
transcript.pyannote[3119].start 17479.39221875
transcript.pyannote[3119].end 17479.54409375
transcript.pyannote[3120].speaker SPEAKER_36
transcript.pyannote[3120].start 17479.54409375
transcript.pyannote[3120].end 17483.03721875
transcript.pyannote[3121].speaker SPEAKER_22
transcript.pyannote[3121].start 17479.57784375
transcript.pyannote[3121].end 17480.13471875
transcript.pyannote[3122].speaker SPEAKER_09
transcript.pyannote[3122].start 17480.13471875
transcript.pyannote[3122].end 17480.15159375
transcript.pyannote[3123].speaker SPEAKER_09
transcript.pyannote[3123].start 17480.69159375
transcript.pyannote[3123].end 17480.70846875
transcript.pyannote[3124].speaker SPEAKER_22
transcript.pyannote[3124].start 17480.70846875
transcript.pyannote[3124].end 17487.72846875
transcript.pyannote[3125].speaker SPEAKER_09
transcript.pyannote[3125].start 17483.03721875
transcript.pyannote[3125].end 17485.73721875
transcript.pyannote[3126].speaker SPEAKER_09
transcript.pyannote[3126].start 17486.32784375
transcript.pyannote[3126].end 17493.98909375
transcript.pyannote[3127].speaker SPEAKER_09
transcript.pyannote[3127].start 17494.95096875
transcript.pyannote[3127].end 17495.32221875
transcript.pyannote[3128].speaker SPEAKER_29
transcript.pyannote[3128].start 17495.62596875
transcript.pyannote[3128].end 17503.47284375
transcript.pyannote[3129].speaker SPEAKER_29
transcript.pyannote[3129].start 17503.67534375
transcript.pyannote[3129].end 17505.46409375
transcript.pyannote[3130].speaker SPEAKER_09
transcript.pyannote[3130].start 17506.27409375
transcript.pyannote[3130].end 17507.82659375
transcript.pyannote[3131].speaker SPEAKER_29
transcript.pyannote[3131].start 17507.86034375
transcript.pyannote[3131].end 17508.19784375
transcript.pyannote[3132].speaker SPEAKER_09
transcript.pyannote[3132].start 17508.41721875
transcript.pyannote[3132].end 17510.08784375
transcript.pyannote[3133].speaker SPEAKER_09
transcript.pyannote[3133].start 17510.66159375
transcript.pyannote[3133].end 17510.94846875
transcript.pyannote[3134].speaker SPEAKER_29
transcript.pyannote[3134].start 17510.72909375
transcript.pyannote[3134].end 17511.10034375
transcript.pyannote[3135].speaker SPEAKER_09
transcript.pyannote[3135].start 17511.65721875
transcript.pyannote[3135].end 17516.73659375
transcript.pyannote[3136].speaker SPEAKER_29
transcript.pyannote[3136].start 17512.50096875
transcript.pyannote[3136].end 17513.61471875
transcript.pyannote[3137].speaker SPEAKER_29
transcript.pyannote[3137].start 17515.15034375
transcript.pyannote[3137].end 17520.02721875
transcript.pyannote[3138].speaker SPEAKER_09
transcript.pyannote[3138].start 17518.22159375
transcript.pyannote[3138].end 17519.65596875
transcript.pyannote[3139].speaker SPEAKER_09
transcript.pyannote[3139].start 17519.94284375
transcript.pyannote[3139].end 17521.73159375
transcript.pyannote[3140].speaker SPEAKER_09
transcript.pyannote[3140].start 17522.84534375
transcript.pyannote[3140].end 17526.86159375
transcript.pyannote[3141].speaker SPEAKER_09
transcript.pyannote[3141].start 17527.41846875
transcript.pyannote[3141].end 17528.80221875
transcript.pyannote[3142].speaker SPEAKER_38
transcript.pyannote[3142].start 17528.80221875
transcript.pyannote[3142].end 17529.12284375
transcript.pyannote[3143].speaker SPEAKER_09
transcript.pyannote[3143].start 17529.08909375
transcript.pyannote[3143].end 17540.47971875
transcript.pyannote[3144].speaker SPEAKER_09
transcript.pyannote[3144].start 17540.76659375
transcript.pyannote[3144].end 17571.51284375
transcript.pyannote[3145].speaker SPEAKER_00
transcript.pyannote[3145].start 17570.50034375
transcript.pyannote[3145].end 17570.51721875
transcript.pyannote[3146].speaker SPEAKER_38
transcript.pyannote[3146].start 17570.51721875
transcript.pyannote[3146].end 17570.83784375
transcript.pyannote[3147].speaker SPEAKER_09
transcript.pyannote[3147].start 17572.13721875
transcript.pyannote[3147].end 17582.44784375
transcript.pyannote[3148].speaker SPEAKER_00
transcript.pyannote[3148].start 17577.82409375
transcript.pyannote[3148].end 17577.85784375
transcript.pyannote[3149].speaker SPEAKER_38
transcript.pyannote[3149].start 17577.85784375
transcript.pyannote[3149].end 17577.97596875
transcript.pyannote[3150].speaker SPEAKER_00
transcript.pyannote[3150].start 17577.97596875
transcript.pyannote[3150].end 17579.03909375
transcript.pyannote[3151].speaker SPEAKER_38
transcript.pyannote[3151].start 17579.03909375
transcript.pyannote[3151].end 17579.46096875
transcript.pyannote[3152].speaker SPEAKER_09
transcript.pyannote[3152].start 17582.98784375
transcript.pyannote[3152].end 17586.10971875
transcript.pyannote[3153].speaker SPEAKER_09
transcript.pyannote[3153].start 17586.81846875
transcript.pyannote[3153].end 17592.13409375
transcript.pyannote[3154].speaker SPEAKER_38
transcript.pyannote[3154].start 17586.93659375
transcript.pyannote[3154].end 17590.88534375
transcript.pyannote[3155].speaker SPEAKER_38
transcript.pyannote[3155].start 17592.13409375
transcript.pyannote[3155].end 17592.47159375
transcript.pyannote[3156].speaker SPEAKER_09
transcript.pyannote[3156].start 17592.16784375
transcript.pyannote[3156].end 17592.18471875
transcript.pyannote[3157].speaker SPEAKER_09
transcript.pyannote[3157].start 17592.26909375
transcript.pyannote[3157].end 17597.88846875
transcript.pyannote[3158].speaker SPEAKER_29
transcript.pyannote[3158].start 17592.47159375
transcript.pyannote[3158].end 17592.52221875
transcript.pyannote[3159].speaker SPEAKER_38
transcript.pyannote[3159].start 17592.52221875
transcript.pyannote[3159].end 17592.55596875
transcript.pyannote[3160].speaker SPEAKER_29
transcript.pyannote[3160].start 17594.96909375
transcript.pyannote[3160].end 17595.45846875
transcript.pyannote[3161].speaker SPEAKER_29
transcript.pyannote[3161].start 17597.88846875
transcript.pyannote[3161].end 17598.64784375
transcript.pyannote[3162].speaker SPEAKER_09
transcript.pyannote[3162].start 17598.46221875
transcript.pyannote[3162].end 17600.67284375
transcript.pyannote[3163].speaker SPEAKER_29
transcript.pyannote[3163].start 17600.92596875
transcript.pyannote[3163].end 17616.51846875
transcript.pyannote[3164].speaker SPEAKER_09
transcript.pyannote[3164].start 17615.03346875
transcript.pyannote[3164].end 17615.35409375
transcript.pyannote[3165].speaker SPEAKER_29
transcript.pyannote[3165].start 17616.82221875
transcript.pyannote[3165].end 17623.69034375
transcript.pyannote[3166].speaker SPEAKER_09
transcript.pyannote[3166].start 17620.78784375
transcript.pyannote[3166].end 17622.50909375
transcript.pyannote[3167].speaker SPEAKER_09
transcript.pyannote[3167].start 17623.23471875
transcript.pyannote[3167].end 17625.42846875
transcript.pyannote[3168].speaker SPEAKER_29
transcript.pyannote[3168].start 17625.22596875
transcript.pyannote[3168].end 17626.03596875
transcript.pyannote[3169].speaker SPEAKER_09
transcript.pyannote[3169].start 17626.22159375
transcript.pyannote[3169].end 17626.84596875
transcript.pyannote[3170].speaker SPEAKER_29
transcript.pyannote[3170].start 17626.54221875
transcript.pyannote[3170].end 17631.13221875
transcript.pyannote[3171].speaker SPEAKER_09
transcript.pyannote[3171].start 17630.54159375
transcript.pyannote[3171].end 17632.41471875
transcript.pyannote[3172].speaker SPEAKER_29
transcript.pyannote[3172].start 17631.52034375
transcript.pyannote[3172].end 17637.69659375
transcript.pyannote[3173].speaker SPEAKER_09
transcript.pyannote[3173].start 17633.00534375
transcript.pyannote[3173].end 17640.31221875
transcript.pyannote[3174].speaker SPEAKER_29
transcript.pyannote[3174].start 17638.94534375
transcript.pyannote[3174].end 17653.87971875
transcript.pyannote[3175].speaker SPEAKER_09
transcript.pyannote[3175].start 17642.79284375
transcript.pyannote[3175].end 17643.28221875
transcript.pyannote[3176].speaker SPEAKER_29
transcript.pyannote[3176].start 17654.06534375
transcript.pyannote[3176].end 17655.48284375
transcript.pyannote[3177].speaker SPEAKER_09
transcript.pyannote[3177].start 17655.53346875
transcript.pyannote[3177].end 17664.64596875
transcript.pyannote[3178].speaker SPEAKER_29
transcript.pyannote[3178].start 17660.79846875
transcript.pyannote[3178].end 17661.52409375
transcript.pyannote[3179].speaker SPEAKER_29
transcript.pyannote[3179].start 17661.81096875
transcript.pyannote[3179].end 17662.03034375
transcript.pyannote[3180].speaker SPEAKER_22
transcript.pyannote[3180].start 17662.03034375
transcript.pyannote[3180].end 17662.28346875
transcript.pyannote[3181].speaker SPEAKER_09
transcript.pyannote[3181].start 17665.20284375
transcript.pyannote[3181].end 17666.95784375
transcript.pyannote[3182].speaker SPEAKER_09
transcript.pyannote[3182].start 17667.26159375
transcript.pyannote[3182].end 17668.51034375
transcript.pyannote[3183].speaker SPEAKER_22
transcript.pyannote[3183].start 17667.37971875
transcript.pyannote[3183].end 17668.71284375
transcript.pyannote[3184].speaker SPEAKER_09
transcript.pyannote[3184].start 17668.78034375
transcript.pyannote[3184].end 17673.28596875
transcript.pyannote[3185].speaker SPEAKER_09
transcript.pyannote[3185].start 17673.70784375
transcript.pyannote[3185].end 17677.58909375
transcript.pyannote[3186].speaker SPEAKER_22
transcript.pyannote[3186].start 17673.84284375
transcript.pyannote[3186].end 17674.02846875
transcript.pyannote[3187].speaker SPEAKER_29
transcript.pyannote[3187].start 17674.02846875
transcript.pyannote[3187].end 17674.06221875
transcript.pyannote[3188].speaker SPEAKER_29
transcript.pyannote[3188].start 17677.58909375
transcript.pyannote[3188].end 17680.96409375
transcript.pyannote[3189].speaker SPEAKER_09
transcript.pyannote[3189].start 17678.50034375
transcript.pyannote[3189].end 17679.05721875
transcript.pyannote[3190].speaker SPEAKER_09
transcript.pyannote[3190].start 17680.17096875
transcript.pyannote[3190].end 17681.97659375
transcript.pyannote[3191].speaker SPEAKER_29
transcript.pyannote[3191].start 17681.57159375
transcript.pyannote[3191].end 17689.40159375
transcript.pyannote[3192].speaker SPEAKER_36
transcript.pyannote[3192].start 17681.97659375
transcript.pyannote[3192].end 17682.28034375
transcript.pyannote[3193].speaker SPEAKER_09
transcript.pyannote[3193].start 17682.28034375
transcript.pyannote[3193].end 17682.33096875
transcript.pyannote[3194].speaker SPEAKER_36
transcript.pyannote[3194].start 17684.44034375
transcript.pyannote[3194].end 17684.67659375
transcript.pyannote[3195].speaker SPEAKER_36
transcript.pyannote[3195].start 17686.58346875
transcript.pyannote[3195].end 17687.03909375
transcript.pyannote[3196].speaker SPEAKER_09
transcript.pyannote[3196].start 17687.03909375
transcript.pyannote[3196].end 17691.12284375
transcript.pyannote[3197].speaker SPEAKER_29
transcript.pyannote[3197].start 17690.21159375
transcript.pyannote[3197].end 17692.50659375
transcript.pyannote[3198].speaker SPEAKER_09
transcript.pyannote[3198].start 17691.69659375
transcript.pyannote[3198].end 17694.02534375
transcript.pyannote[3199].speaker SPEAKER_29
transcript.pyannote[3199].start 17692.87784375
transcript.pyannote[3199].end 17693.13096875
transcript.pyannote[3200].speaker SPEAKER_29
transcript.pyannote[3200].start 17695.13909375
transcript.pyannote[3200].end 17702.02409375
transcript.pyannote[3201].speaker SPEAKER_09
transcript.pyannote[3201].start 17698.12596875
transcript.pyannote[3201].end 17700.26909375
transcript.pyannote[3202].speaker SPEAKER_09
transcript.pyannote[3202].start 17700.30284375
transcript.pyannote[3202].end 17701.07909375
transcript.pyannote[3203].speaker SPEAKER_09
transcript.pyannote[3203].start 17701.45034375
transcript.pyannote[3203].end 17705.48346875
transcript.pyannote[3204].speaker SPEAKER_07
transcript.pyannote[3204].start 17702.02409375
transcript.pyannote[3204].end 17707.35659375
transcript.pyannote[3205].speaker SPEAKER_07
transcript.pyannote[3205].start 17707.64346875
transcript.pyannote[3205].end 17710.02284375
transcript.pyannote[3206].speaker SPEAKER_29
transcript.pyannote[3206].start 17713.97159375
transcript.pyannote[3206].end 17714.30909375
transcript.pyannote[3207].speaker SPEAKER_29
transcript.pyannote[3207].start 17714.71409375
transcript.pyannote[3207].end 17717.61659375
transcript.pyannote[3208].speaker SPEAKER_08
transcript.pyannote[3208].start 18949.62659375
transcript.pyannote[3208].end 18953.42346875
transcript.pyannote[3209].speaker SPEAKER_08
transcript.pyannote[3209].start 18953.77784375
transcript.pyannote[3209].end 18956.61284375
transcript.pyannote[3210].speaker SPEAKER_08
transcript.pyannote[3210].start 18958.13159375
transcript.pyannote[3210].end 18959.29596875
transcript.pyannote[3211].speaker SPEAKER_08
transcript.pyannote[3211].start 18960.91596875
transcript.pyannote[3211].end 18962.94096875
transcript.pyannote[3212].speaker SPEAKER_30
transcript.pyannote[3212].start 18969.42096875
transcript.pyannote[3212].end 18972.28971875
transcript.pyannote[3213].speaker SPEAKER_30
transcript.pyannote[3213].start 18979.03971875
transcript.pyannote[3213].end 18984.70971875
transcript.pyannote[3214].speaker SPEAKER_30
transcript.pyannote[3214].start 18986.04284375
transcript.pyannote[3214].end 19012.70534375
transcript.pyannote[3215].speaker SPEAKER_30
transcript.pyannote[3215].start 19013.27909375
transcript.pyannote[3215].end 19015.03409375
transcript.pyannote[3216].speaker SPEAKER_30
transcript.pyannote[3216].start 19015.16909375
transcript.pyannote[3216].end 19016.19846875
transcript.pyannote[3217].speaker SPEAKER_30
transcript.pyannote[3217].start 19018.24034375
transcript.pyannote[3217].end 19019.26971875
transcript.pyannote[3218].speaker SPEAKER_30
transcript.pyannote[3218].start 19020.61971875
transcript.pyannote[3218].end 19037.56221875
transcript.pyannote[3219].speaker SPEAKER_29
transcript.pyannote[3219].start 19039.01346875
transcript.pyannote[3219].end 19050.52221875
transcript.pyannote[3220].speaker SPEAKER_30
transcript.pyannote[3220].start 19043.06346875
transcript.pyannote[3220].end 19044.39659375
transcript.pyannote[3221].speaker SPEAKER_29
transcript.pyannote[3221].start 19051.78784375
transcript.pyannote[3221].end 19051.90596875
transcript.pyannote[3222].speaker SPEAKER_29
transcript.pyannote[3222].start 19052.34471875
transcript.pyannote[3222].end 19059.87096875
transcript.pyannote[3223].speaker SPEAKER_29
transcript.pyannote[3223].start 19060.02284375
transcript.pyannote[3223].end 19061.60909375
transcript.pyannote[3224].speaker SPEAKER_29
transcript.pyannote[3224].start 19062.08159375
transcript.pyannote[3224].end 19068.78096875
transcript.pyannote[3225].speaker SPEAKER_30
transcript.pyannote[3225].start 19068.78096875
transcript.pyannote[3225].end 19068.81471875
transcript.pyannote[3226].speaker SPEAKER_30
transcript.pyannote[3226].start 19069.55721875
transcript.pyannote[3226].end 19069.89471875
transcript.pyannote[3227].speaker SPEAKER_30
transcript.pyannote[3227].start 19070.11409375
transcript.pyannote[3227].end 19074.99096875
transcript.pyannote[3228].speaker SPEAKER_29
transcript.pyannote[3228].start 19075.73346875
transcript.pyannote[3228].end 19076.89784375
transcript.pyannote[3229].speaker SPEAKER_30
transcript.pyannote[3229].start 19076.42534375
transcript.pyannote[3229].end 19080.07034375
transcript.pyannote[3230].speaker SPEAKER_29
transcript.pyannote[3230].start 19080.07034375
transcript.pyannote[3230].end 19090.43159375
transcript.pyannote[3231].speaker SPEAKER_30
transcript.pyannote[3231].start 19080.12096875
transcript.pyannote[3231].end 19082.21346875
transcript.pyannote[3232].speaker SPEAKER_29
transcript.pyannote[3232].start 19091.15721875
transcript.pyannote[3232].end 19103.17221875
transcript.pyannote[3233].speaker SPEAKER_30
transcript.pyannote[3233].start 19100.15159375
transcript.pyannote[3233].end 19100.43846875
transcript.pyannote[3234].speaker SPEAKER_30
transcript.pyannote[3234].start 19102.81784375
transcript.pyannote[3234].end 19110.71534375
transcript.pyannote[3235].speaker SPEAKER_29
transcript.pyannote[3235].start 19105.83846875
transcript.pyannote[3235].end 19106.29409375
transcript.pyannote[3236].speaker SPEAKER_30
transcript.pyannote[3236].start 19111.05284375
transcript.pyannote[3236].end 19120.33409375
transcript.pyannote[3237].speaker SPEAKER_29
transcript.pyannote[3237].start 19112.82471875
transcript.pyannote[3237].end 19116.23346875
transcript.pyannote[3238].speaker SPEAKER_30
transcript.pyannote[3238].start 19120.80659375
transcript.pyannote[3238].end 19136.73659375
transcript.pyannote[3239].speaker SPEAKER_29
transcript.pyannote[3239].start 19120.94159375
transcript.pyannote[3239].end 19122.00471875
transcript.pyannote[3240].speaker SPEAKER_00
transcript.pyannote[3240].start 19126.98284375
transcript.pyannote[3240].end 19127.37096875
transcript.pyannote[3241].speaker SPEAKER_30
transcript.pyannote[3241].start 19136.93909375
transcript.pyannote[3241].end 19138.03596875
transcript.pyannote[3242].speaker SPEAKER_29
transcript.pyannote[3242].start 19137.78284375
transcript.pyannote[3242].end 19138.06971875
transcript.pyannote[3243].speaker SPEAKER_04
transcript.pyannote[3243].start 19138.03596875
transcript.pyannote[3243].end 19138.81221875
transcript.pyannote[3244].speaker SPEAKER_30
transcript.pyannote[3244].start 19138.81221875
transcript.pyannote[3244].end 19138.82909375
transcript.pyannote[3245].speaker SPEAKER_04
transcript.pyannote[3245].start 19138.82909375
transcript.pyannote[3245].end 19138.91346875
transcript.pyannote[3246].speaker SPEAKER_30
transcript.pyannote[3246].start 19138.91346875
transcript.pyannote[3246].end 19139.09909375
transcript.pyannote[3247].speaker SPEAKER_29
transcript.pyannote[3247].start 19138.94721875
transcript.pyannote[3247].end 19138.98096875
transcript.pyannote[3248].speaker SPEAKER_04
transcript.pyannote[3248].start 19138.98096875
transcript.pyannote[3248].end 19145.34284375
transcript.pyannote[3249].speaker SPEAKER_29
transcript.pyannote[3249].start 19139.09909375
transcript.pyannote[3249].end 19139.16659375
transcript.pyannote[3250].speaker SPEAKER_30
transcript.pyannote[3250].start 19139.16659375
transcript.pyannote[3250].end 19139.63909375
transcript.pyannote[3251].speaker SPEAKER_29
transcript.pyannote[3251].start 19139.63909375
transcript.pyannote[3251].end 19139.97659375
transcript.pyannote[3252].speaker SPEAKER_30
transcript.pyannote[3252].start 19139.97659375
transcript.pyannote[3252].end 19141.02284375
transcript.pyannote[3253].speaker SPEAKER_29
transcript.pyannote[3253].start 19141.02284375
transcript.pyannote[3253].end 19141.39409375
transcript.pyannote[3254].speaker SPEAKER_30
transcript.pyannote[3254].start 19141.39409375
transcript.pyannote[3254].end 19141.47846875
transcript.pyannote[3255].speaker SPEAKER_29
transcript.pyannote[3255].start 19144.51596875
transcript.pyannote[3255].end 19171.38096875
transcript.pyannote[3256].speaker SPEAKER_30
transcript.pyannote[3256].start 19145.34284375
transcript.pyannote[3256].end 19145.86596875
transcript.pyannote[3257].speaker SPEAKER_04
transcript.pyannote[3257].start 19145.86596875
transcript.pyannote[3257].end 19146.11909375
transcript.pyannote[3258].speaker SPEAKER_30
transcript.pyannote[3258].start 19146.11909375
transcript.pyannote[3258].end 19146.96284375
transcript.pyannote[3259].speaker SPEAKER_30
transcript.pyannote[3259].start 19150.08471875
transcript.pyannote[3259].end 19151.46846875
transcript.pyannote[3260].speaker SPEAKER_30
transcript.pyannote[3260].start 19154.79284375
transcript.pyannote[3260].end 19155.60284375
transcript.pyannote[3261].speaker SPEAKER_00
transcript.pyannote[3261].start 19160.46284375
transcript.pyannote[3261].end 19160.83409375
transcript.pyannote[3262].speaker SPEAKER_29
transcript.pyannote[3262].start 19171.87034375
transcript.pyannote[3262].end 19177.28721875
transcript.pyannote[3263].speaker SPEAKER_39
transcript.pyannote[3263].start 19177.28721875
transcript.pyannote[3263].end 19177.64159375
transcript.pyannote[3264].speaker SPEAKER_29
transcript.pyannote[3264].start 19177.64159375
transcript.pyannote[3264].end 19179.54846875
transcript.pyannote[3265].speaker SPEAKER_29
transcript.pyannote[3265].start 19180.42596875
transcript.pyannote[3265].end 19183.91909375
transcript.pyannote[3266].speaker SPEAKER_29
transcript.pyannote[3266].start 19184.66159375
transcript.pyannote[3266].end 19185.75846875
transcript.pyannote[3267].speaker SPEAKER_17
transcript.pyannote[3267].start 19186.01159375
transcript.pyannote[3267].end 19186.16346875
transcript.pyannote[3268].speaker SPEAKER_17
transcript.pyannote[3268].start 19187.07471875
transcript.pyannote[3268].end 19188.77909375
transcript.pyannote[3269].speaker SPEAKER_29
transcript.pyannote[3269].start 19188.49221875
transcript.pyannote[3269].end 19188.94784375
transcript.pyannote[3270].speaker SPEAKER_29
transcript.pyannote[3270].start 19189.90971875
transcript.pyannote[3270].end 19197.03096875
transcript.pyannote[3271].speaker SPEAKER_41
transcript.pyannote[3271].start 19190.24721875
transcript.pyannote[3271].end 19191.15846875
transcript.pyannote[3272].speaker SPEAKER_30
transcript.pyannote[3272].start 19197.03096875
transcript.pyannote[3272].end 19197.09846875
transcript.pyannote[3273].speaker SPEAKER_29
transcript.pyannote[3273].start 19197.63846875
transcript.pyannote[3273].end 19197.67221875
transcript.pyannote[3274].speaker SPEAKER_30
transcript.pyannote[3274].start 19197.67221875
transcript.pyannote[3274].end 19203.57846875
transcript.pyannote[3275].speaker SPEAKER_29
transcript.pyannote[3275].start 19203.57846875
transcript.pyannote[3275].end 19203.71346875
transcript.pyannote[3276].speaker SPEAKER_29
transcript.pyannote[3276].start 19203.83159375
transcript.pyannote[3276].end 19203.88221875
transcript.pyannote[3277].speaker SPEAKER_30
transcript.pyannote[3277].start 19203.88221875
transcript.pyannote[3277].end 19203.91596875
transcript.pyannote[3278].speaker SPEAKER_29
transcript.pyannote[3278].start 19203.91596875
transcript.pyannote[3278].end 19210.71659375
transcript.pyannote[3279].speaker SPEAKER_29
transcript.pyannote[3279].start 19211.00346875
transcript.pyannote[3279].end 19213.80471875
transcript.pyannote[3280].speaker SPEAKER_29
transcript.pyannote[3280].start 19214.00721875
transcript.pyannote[3280].end 19215.96471875
transcript.pyannote[3281].speaker SPEAKER_30
transcript.pyannote[3281].start 19215.08721875
transcript.pyannote[3281].end 19215.35721875
transcript.pyannote[3282].speaker SPEAKER_30
transcript.pyannote[3282].start 19215.47534375
transcript.pyannote[3282].end 19221.09471875
transcript.pyannote[3283].speaker SPEAKER_30
transcript.pyannote[3283].start 19222.68096875
transcript.pyannote[3283].end 19230.56159375
transcript.pyannote[3284].speaker SPEAKER_30
transcript.pyannote[3284].start 19231.06784375
transcript.pyannote[3284].end 19233.59909375
transcript.pyannote[3285].speaker SPEAKER_30
transcript.pyannote[3285].start 19233.73409375
transcript.pyannote[3285].end 19234.49346875
transcript.pyannote[3286].speaker SPEAKER_29
transcript.pyannote[3286].start 19233.97034375
transcript.pyannote[3286].end 19240.09596875
transcript.pyannote[3287].speaker SPEAKER_30
transcript.pyannote[3287].start 19237.61534375
transcript.pyannote[3287].end 19239.40409375
transcript.pyannote[3288].speaker SPEAKER_29
transcript.pyannote[3288].start 19240.72034375
transcript.pyannote[3288].end 19242.44159375
transcript.pyannote[3289].speaker SPEAKER_29
transcript.pyannote[3289].start 19242.99846875
transcript.pyannote[3289].end 19247.25096875
transcript.pyannote[3290].speaker SPEAKER_29
transcript.pyannote[3290].start 19248.06096875
transcript.pyannote[3290].end 19251.03096875
transcript.pyannote[3291].speaker SPEAKER_30
transcript.pyannote[3291].start 19251.03096875
transcript.pyannote[3291].end 19254.67596875
transcript.pyannote[3292].speaker SPEAKER_30
transcript.pyannote[3292].start 19255.01346875
transcript.pyannote[3292].end 19258.47284375
transcript.pyannote[3293].speaker SPEAKER_29
transcript.pyannote[3293].start 19258.16909375
transcript.pyannote[3293].end 19262.52284375
transcript.pyannote[3294].speaker SPEAKER_29
transcript.pyannote[3294].start 19262.91096875
transcript.pyannote[3294].end 19269.08721875
transcript.pyannote[3295].speaker SPEAKER_30
transcript.pyannote[3295].start 19263.80534375
transcript.pyannote[3295].end 19264.17659375
transcript.pyannote[3296].speaker SPEAKER_29
transcript.pyannote[3296].start 19269.64409375
transcript.pyannote[3296].end 19276.44471875
transcript.pyannote[3297].speaker SPEAKER_29
transcript.pyannote[3297].start 19277.47409375
transcript.pyannote[3297].end 19284.78096875
transcript.pyannote[3298].speaker SPEAKER_29
transcript.pyannote[3298].start 19285.18596875
transcript.pyannote[3298].end 19287.64971875
transcript.pyannote[3299].speaker SPEAKER_30
transcript.pyannote[3299].start 19290.48471875
transcript.pyannote[3299].end 19292.71221875
transcript.pyannote[3300].speaker SPEAKER_30
transcript.pyannote[3300].start 19292.86409375
transcript.pyannote[3300].end 19294.24784375
transcript.pyannote[3301].speaker SPEAKER_30
transcript.pyannote[3301].start 19294.50096875
transcript.pyannote[3301].end 19295.68221875
transcript.pyannote[3302].speaker SPEAKER_30
transcript.pyannote[3302].start 19296.59346875
transcript.pyannote[3302].end 19297.04909375
transcript.pyannote[3303].speaker SPEAKER_30
transcript.pyannote[3303].start 19297.42034375
transcript.pyannote[3303].end 19299.14159375
transcript.pyannote[3304].speaker SPEAKER_30
transcript.pyannote[3304].start 19299.46221875
transcript.pyannote[3304].end 19302.36471875
transcript.pyannote[3305].speaker SPEAKER_04
transcript.pyannote[3305].start 19300.72784375
transcript.pyannote[3305].end 19303.81596875
transcript.pyannote[3306].speaker SPEAKER_04
transcript.pyannote[3306].start 19304.00159375
transcript.pyannote[3306].end 19305.36846875
transcript.pyannote[3307].speaker SPEAKER_30
transcript.pyannote[3307].start 19304.11971875
transcript.pyannote[3307].end 19307.95034375
transcript.pyannote[3308].speaker SPEAKER_29
transcript.pyannote[3308].start 19305.36846875
transcript.pyannote[3308].end 19305.38534375
transcript.pyannote[3309].speaker SPEAKER_29
transcript.pyannote[3309].start 19307.19096875
transcript.pyannote[3309].end 19307.20784375
transcript.pyannote[3310].speaker SPEAKER_04
transcript.pyannote[3310].start 19307.20784375
transcript.pyannote[3310].end 19307.52846875
transcript.pyannote[3311].speaker SPEAKER_29
transcript.pyannote[3311].start 19307.52846875
transcript.pyannote[3311].end 19307.61284375
transcript.pyannote[3312].speaker SPEAKER_30
transcript.pyannote[3312].start 19308.43971875
transcript.pyannote[3312].end 19308.45659375
transcript.pyannote[3313].speaker SPEAKER_29
transcript.pyannote[3313].start 19308.45659375
transcript.pyannote[3313].end 19310.16096875
transcript.pyannote[3314].speaker SPEAKER_04
transcript.pyannote[3314].start 19310.16096875
transcript.pyannote[3314].end 19310.24534375
transcript.pyannote[3315].speaker SPEAKER_29
transcript.pyannote[3315].start 19310.24534375
transcript.pyannote[3315].end 19310.29596875
transcript.pyannote[3316].speaker SPEAKER_04
transcript.pyannote[3316].start 19310.29596875
transcript.pyannote[3316].end 19315.57784375
transcript.pyannote[3317].speaker SPEAKER_29
transcript.pyannote[3317].start 19310.58284375
transcript.pyannote[3317].end 19311.78096875
transcript.pyannote[3318].speaker SPEAKER_29
transcript.pyannote[3318].start 19312.20284375
transcript.pyannote[3318].end 19312.45596875
transcript.pyannote[3319].speaker SPEAKER_30
transcript.pyannote[3319].start 19312.45596875
transcript.pyannote[3319].end 19312.72596875
transcript.pyannote[3320].speaker SPEAKER_29
transcript.pyannote[3320].start 19312.72596875
transcript.pyannote[3320].end 19313.65409375
transcript.pyannote[3321].speaker SPEAKER_29
transcript.pyannote[3321].start 19314.09284375
transcript.pyannote[3321].end 19314.10971875
transcript.pyannote[3322].speaker SPEAKER_30
transcript.pyannote[3322].start 19314.10971875
transcript.pyannote[3322].end 19316.21909375
transcript.pyannote[3323].speaker SPEAKER_04
transcript.pyannote[3323].start 19315.62846875
transcript.pyannote[3323].end 19318.39596875
transcript.pyannote[3324].speaker SPEAKER_30
transcript.pyannote[3324].start 19316.97846875
transcript.pyannote[3324].end 19317.38346875
transcript.pyannote[3325].speaker SPEAKER_04
transcript.pyannote[3325].start 19319.32409375
transcript.pyannote[3325].end 19326.31034375
transcript.pyannote[3326].speaker SPEAKER_30
transcript.pyannote[3326].start 19321.72034375
transcript.pyannote[3326].end 19322.32784375
transcript.pyannote[3327].speaker SPEAKER_38
transcript.pyannote[3327].start 19322.32784375
transcript.pyannote[3327].end 19322.41221875
transcript.pyannote[3328].speaker SPEAKER_04
transcript.pyannote[3328].start 19326.79971875
transcript.pyannote[3328].end 19329.01034375
transcript.pyannote[3329].speaker SPEAKER_01
transcript.pyannote[3329].start 19328.77409375
transcript.pyannote[3329].end 19329.21284375
transcript.pyannote[3330].speaker SPEAKER_04
transcript.pyannote[3330].start 19329.14534375
transcript.pyannote[3330].end 19344.33284375
transcript.pyannote[3331].speaker SPEAKER_30
transcript.pyannote[3331].start 19345.21034375
transcript.pyannote[3331].end 19345.58159375
transcript.pyannote[3332].speaker SPEAKER_30
transcript.pyannote[3332].start 19346.42534375
transcript.pyannote[3332].end 19351.42034375
transcript.pyannote[3333].speaker SPEAKER_29
transcript.pyannote[3333].start 19347.72471875
transcript.pyannote[3333].end 19347.75846875
transcript.pyannote[3334].speaker SPEAKER_04
transcript.pyannote[3334].start 19347.75846875
transcript.pyannote[3334].end 19348.23096875
transcript.pyannote[3335].speaker SPEAKER_29
transcript.pyannote[3335].start 19348.23096875
transcript.pyannote[3335].end 19357.54596875
transcript.pyannote[3336].speaker SPEAKER_29
transcript.pyannote[3336].start 19358.08596875
transcript.pyannote[3336].end 19358.45721875
transcript.pyannote[3337].speaker SPEAKER_29
transcript.pyannote[3337].start 19358.59221875
transcript.pyannote[3337].end 19360.85346875
transcript.pyannote[3338].speaker SPEAKER_29
transcript.pyannote[3338].start 19360.97159375
transcript.pyannote[3338].end 19363.41846875
transcript.pyannote[3339].speaker SPEAKER_29
transcript.pyannote[3339].start 19364.19471875
transcript.pyannote[3339].end 19366.15221875
transcript.pyannote[3340].speaker SPEAKER_30
transcript.pyannote[3340].start 19366.15221875
transcript.pyannote[3340].end 19366.35471875
transcript.pyannote[3341].speaker SPEAKER_29
transcript.pyannote[3341].start 19366.35471875
transcript.pyannote[3341].end 19366.70909375
transcript.pyannote[3342].speaker SPEAKER_30
transcript.pyannote[3342].start 19366.54034375
transcript.pyannote[3342].end 19366.72596875
transcript.pyannote[3343].speaker SPEAKER_29
transcript.pyannote[3343].start 19366.72596875
transcript.pyannote[3343].end 19367.06346875
transcript.pyannote[3344].speaker SPEAKER_30
transcript.pyannote[3344].start 19367.06346875
transcript.pyannote[3344].end 19375.01159375
transcript.pyannote[3345].speaker SPEAKER_29
transcript.pyannote[3345].start 19372.04159375
transcript.pyannote[3345].end 19372.05846875
transcript.pyannote[3346].speaker SPEAKER_26
transcript.pyannote[3346].start 19372.05846875
transcript.pyannote[3346].end 19372.14284375
transcript.pyannote[3347].speaker SPEAKER_29
transcript.pyannote[3347].start 19372.14284375
transcript.pyannote[3347].end 19372.41284375
transcript.pyannote[3348].speaker SPEAKER_17
transcript.pyannote[3348].start 19374.48846875
transcript.pyannote[3348].end 19398.02909375
transcript.pyannote[3349].speaker SPEAKER_30
transcript.pyannote[3349].start 19378.89284375
transcript.pyannote[3349].end 19379.43284375
transcript.pyannote[3350].speaker SPEAKER_40
transcript.pyannote[3350].start 19382.97659375
transcript.pyannote[3350].end 19383.38159375
transcript.pyannote[3351].speaker SPEAKER_36
transcript.pyannote[3351].start 19383.38159375
transcript.pyannote[3351].end 19383.39846875
transcript.pyannote[3352].speaker SPEAKER_36
transcript.pyannote[3352].start 19386.01409375
transcript.pyannote[3352].end 19386.09846875
transcript.pyannote[3353].speaker SPEAKER_36
transcript.pyannote[3353].start 19386.13221875
transcript.pyannote[3353].end 19386.38534375
transcript.pyannote[3354].speaker SPEAKER_30
transcript.pyannote[3354].start 19397.40471875
transcript.pyannote[3354].end 19397.80971875
transcript.pyannote[3355].speaker SPEAKER_30
transcript.pyannote[3355].start 19398.02909375
transcript.pyannote[3355].end 19399.56471875
transcript.pyannote[3356].speaker SPEAKER_17
transcript.pyannote[3356].start 19398.07971875
transcript.pyannote[3356].end 19398.45096875
transcript.pyannote[3357].speaker SPEAKER_17
transcript.pyannote[3357].start 19399.34534375
transcript.pyannote[3357].end 19400.94846875
transcript.pyannote[3358].speaker SPEAKER_30
transcript.pyannote[3358].start 19399.93596875
transcript.pyannote[3358].end 19403.22659375
transcript.pyannote[3359].speaker SPEAKER_17
transcript.pyannote[3359].start 19401.99471875
transcript.pyannote[3359].end 19402.11284375
transcript.pyannote[3360].speaker SPEAKER_17
transcript.pyannote[3360].start 19402.73721875
transcript.pyannote[3360].end 19414.80284375
transcript.pyannote[3361].speaker SPEAKER_30
transcript.pyannote[3361].start 19403.51346875
transcript.pyannote[3361].end 19404.20534375
transcript.pyannote[3362].speaker SPEAKER_17
transcript.pyannote[3362].start 19414.93784375
transcript.pyannote[3362].end 19431.86346875
transcript.pyannote[3363].speaker SPEAKER_00
transcript.pyannote[3363].start 19422.53159375
transcript.pyannote[3363].end 19423.02096875
transcript.pyannote[3364].speaker SPEAKER_30
transcript.pyannote[3364].start 19432.01534375
transcript.pyannote[3364].end 19437.16221875
transcript.pyannote[3365].speaker SPEAKER_29
transcript.pyannote[3365].start 19437.16221875
transcript.pyannote[3365].end 19437.28034375
transcript.pyannote[3366].speaker SPEAKER_30
transcript.pyannote[3366].start 19437.28034375
transcript.pyannote[3366].end 19437.43221875
transcript.pyannote[3367].speaker SPEAKER_29
transcript.pyannote[3367].start 19437.43221875
transcript.pyannote[3367].end 19437.49971875
transcript.pyannote[3368].speaker SPEAKER_30
transcript.pyannote[3368].start 19437.73596875
transcript.pyannote[3368].end 19440.73971875
transcript.pyannote[3369].speaker SPEAKER_30
transcript.pyannote[3369].start 19441.16159375
transcript.pyannote[3369].end 19441.95471875
transcript.pyannote[3370].speaker SPEAKER_30
transcript.pyannote[3370].start 19442.30909375
transcript.pyannote[3370].end 19443.03471875
transcript.pyannote[3371].speaker SPEAKER_30
transcript.pyannote[3371].start 19444.87409375
transcript.pyannote[3371].end 19445.75159375
transcript.pyannote[3372].speaker SPEAKER_30
transcript.pyannote[3372].start 19448.18159375
transcript.pyannote[3372].end 19448.90721875
transcript.pyannote[3373].speaker SPEAKER_30
transcript.pyannote[3373].start 19449.07596875
transcript.pyannote[3373].end 19449.88596875
transcript.pyannote[3374].speaker SPEAKER_30
transcript.pyannote[3374].start 19450.78034375
transcript.pyannote[3374].end 19451.69159375
transcript.pyannote[3375].speaker SPEAKER_30
transcript.pyannote[3375].start 19452.07971875
transcript.pyannote[3375].end 19456.31534375
transcript.pyannote[3376].speaker SPEAKER_30
transcript.pyannote[3376].start 19457.78346875
transcript.pyannote[3376].end 19458.81284375
transcript.pyannote[3377].speaker SPEAKER_30
transcript.pyannote[3377].start 19459.47096875
transcript.pyannote[3377].end 19463.30159375
transcript.pyannote[3378].speaker SPEAKER_30
transcript.pyannote[3378].start 19463.79096875
transcript.pyannote[3378].end 19470.06846875
transcript.pyannote[3379].speaker SPEAKER_30
transcript.pyannote[3379].start 19470.30471875
transcript.pyannote[3379].end 19474.20284375
transcript.pyannote[3380].speaker SPEAKER_30
transcript.pyannote[3380].start 19474.86096875
transcript.pyannote[3380].end 19490.77409375
transcript.pyannote[3381].speaker SPEAKER_30
transcript.pyannote[3381].start 19490.97659375
transcript.pyannote[3381].end 19492.56284375
transcript.pyannote[3382].speaker SPEAKER_30
transcript.pyannote[3382].start 19492.90034375
transcript.pyannote[3382].end 19496.07284375
transcript.pyannote[3383].speaker SPEAKER_30
transcript.pyannote[3383].start 19496.64659375
transcript.pyannote[3383].end 19507.95284375
transcript.pyannote[3384].speaker SPEAKER_30
transcript.pyannote[3384].start 19508.32409375
transcript.pyannote[3384].end 19510.14659375
transcript.pyannote[3385].speaker SPEAKER_30
transcript.pyannote[3385].start 19510.97346875
transcript.pyannote[3385].end 19512.99846875
transcript.pyannote[3386].speaker SPEAKER_29
transcript.pyannote[3386].start 19513.16721875
transcript.pyannote[3386].end 19513.55534375
transcript.pyannote[3387].speaker SPEAKER_30
transcript.pyannote[3387].start 19513.55534375
transcript.pyannote[3387].end 19513.57221875
transcript.pyannote[3388].speaker SPEAKER_30
transcript.pyannote[3388].start 19513.65659375
transcript.pyannote[3388].end 19516.18784375
transcript.pyannote[3389].speaker SPEAKER_30
transcript.pyannote[3389].start 19516.77846875
transcript.pyannote[3389].end 19517.77409375
transcript.pyannote[3390].speaker SPEAKER_30
transcript.pyannote[3390].start 19518.31409375
transcript.pyannote[3390].end 19519.15784375
transcript.pyannote[3391].speaker SPEAKER_30
transcript.pyannote[3391].start 19519.42784375
transcript.pyannote[3391].end 19520.32221875
transcript.pyannote[3392].speaker SPEAKER_30
transcript.pyannote[3392].start 19520.62596875
transcript.pyannote[3392].end 19521.16596875
transcript.pyannote[3393].speaker SPEAKER_30
transcript.pyannote[3393].start 19521.46971875
transcript.pyannote[3393].end 19522.06034375
transcript.pyannote[3394].speaker SPEAKER_30
transcript.pyannote[3394].start 19522.31346875
transcript.pyannote[3394].end 19523.29221875
transcript.pyannote[3395].speaker SPEAKER_30
transcript.pyannote[3395].start 19523.83221875
transcript.pyannote[3395].end 19537.50096875
transcript.pyannote[3396].speaker SPEAKER_30
transcript.pyannote[3396].start 19537.99034375
transcript.pyannote[3396].end 19538.73284375
transcript.pyannote[3397].speaker SPEAKER_30
transcript.pyannote[3397].start 19539.07034375
transcript.pyannote[3397].end 19541.63534375
transcript.pyannote[3398].speaker SPEAKER_30
transcript.pyannote[3398].start 19542.52971875
transcript.pyannote[3398].end 19545.58409375
transcript.pyannote[3399].speaker SPEAKER_30
transcript.pyannote[3399].start 19546.14096875
transcript.pyannote[3399].end 19547.84534375
transcript.pyannote[3400].speaker SPEAKER_30
transcript.pyannote[3400].start 19548.40221875
transcript.pyannote[3400].end 19552.21596875
transcript.pyannote[3401].speaker SPEAKER_30
transcript.pyannote[3401].start 19552.55346875
transcript.pyannote[3401].end 19553.70096875
transcript.pyannote[3402].speaker SPEAKER_30
transcript.pyannote[3402].start 19553.93721875
transcript.pyannote[3402].end 19555.08471875
transcript.pyannote[3403].speaker SPEAKER_30
transcript.pyannote[3403].start 19555.86096875
transcript.pyannote[3403].end 19556.28284375
transcript.pyannote[3404].speaker SPEAKER_30
transcript.pyannote[3404].start 19557.19409375
transcript.pyannote[3404].end 19559.74221875
transcript.pyannote[3405].speaker SPEAKER_30
transcript.pyannote[3405].start 19560.63659375
transcript.pyannote[3405].end 19565.24346875
transcript.pyannote[3406].speaker SPEAKER_30
transcript.pyannote[3406].start 19565.66534375
transcript.pyannote[3406].end 19569.36096875
transcript.pyannote[3407].speaker SPEAKER_30
transcript.pyannote[3407].start 19569.71534375
transcript.pyannote[3407].end 19573.34346875
transcript.pyannote[3408].speaker SPEAKER_30
transcript.pyannote[3408].start 19573.86659375
transcript.pyannote[3408].end 19579.03034375
transcript.pyannote[3409].speaker SPEAKER_30
transcript.pyannote[3409].start 19579.14846875
transcript.pyannote[3409].end 19580.09346875
transcript.pyannote[3410].speaker SPEAKER_30
transcript.pyannote[3410].start 19580.68409375
transcript.pyannote[3410].end 19581.47721875
transcript.pyannote[3411].speaker SPEAKER_30
transcript.pyannote[3411].start 19582.06784375
transcript.pyannote[3411].end 19584.14346875
transcript.pyannote[3412].speaker SPEAKER_30
transcript.pyannote[3412].start 19584.37971875
transcript.pyannote[3412].end 19585.35846875
transcript.pyannote[3413].speaker SPEAKER_30
transcript.pyannote[3413].start 19585.67909375
transcript.pyannote[3413].end 19586.60721875
transcript.pyannote[3414].speaker SPEAKER_30
transcript.pyannote[3414].start 19586.87721875
transcript.pyannote[3414].end 19588.31159375
transcript.pyannote[3415].speaker SPEAKER_30
transcript.pyannote[3415].start 19588.51409375
transcript.pyannote[3415].end 19589.23971875
transcript.pyannote[3416].speaker SPEAKER_30
transcript.pyannote[3416].start 19589.79659375
transcript.pyannote[3416].end 19591.02846875
transcript.pyannote[3417].speaker SPEAKER_30
transcript.pyannote[3417].start 19591.07909375
transcript.pyannote[3417].end 19592.07471875
transcript.pyannote[3418].speaker SPEAKER_30
transcript.pyannote[3418].start 19592.56409375
transcript.pyannote[3418].end 19592.71596875
transcript.pyannote[3419].speaker SPEAKER_30
transcript.pyannote[3419].start 19593.79596875
transcript.pyannote[3419].end 19595.07846875
transcript.pyannote[3420].speaker SPEAKER_30
transcript.pyannote[3420].start 19595.43284375
transcript.pyannote[3420].end 19597.35659375
transcript.pyannote[3421].speaker SPEAKER_30
transcript.pyannote[3421].start 19597.66034375
transcript.pyannote[3421].end 19606.23284375
transcript.pyannote[3422].speaker SPEAKER_29
transcript.pyannote[3422].start 19598.50409375
transcript.pyannote[3422].end 19599.26346875
transcript.pyannote[3423].speaker SPEAKER_30
transcript.pyannote[3423].start 19606.62096875
transcript.pyannote[3423].end 19616.17221875
transcript.pyannote[3424].speaker SPEAKER_30
transcript.pyannote[3424].start 19616.27346875
transcript.pyannote[3424].end 19617.84284375
transcript.pyannote[3425].speaker SPEAKER_30
transcript.pyannote[3425].start 19618.55159375
transcript.pyannote[3425].end 19620.64409375
transcript.pyannote[3426].speaker SPEAKER_38
transcript.pyannote[3426].start 19620.91409375
transcript.pyannote[3426].end 19621.20096875
transcript.pyannote[3427].speaker SPEAKER_30
transcript.pyannote[3427].start 19621.28534375
transcript.pyannote[3427].end 19622.46659375
transcript.pyannote[3428].speaker SPEAKER_30
transcript.pyannote[3428].start 19622.78721875
transcript.pyannote[3428].end 19623.49596875
transcript.pyannote[3429].speaker SPEAKER_30
transcript.pyannote[3429].start 19624.76159375
transcript.pyannote[3429].end 19625.35221875
transcript.pyannote[3430].speaker SPEAKER_30
transcript.pyannote[3430].start 19626.53346875
transcript.pyannote[3430].end 19627.63034375
transcript.pyannote[3431].speaker SPEAKER_30
transcript.pyannote[3431].start 19628.62596875
transcript.pyannote[3431].end 19630.53284375
transcript.pyannote[3432].speaker SPEAKER_30
transcript.pyannote[3432].start 19631.42721875
transcript.pyannote[3432].end 19632.20346875
transcript.pyannote[3433].speaker SPEAKER_30
transcript.pyannote[3433].start 19632.43971875
transcript.pyannote[3433].end 19633.77284375
transcript.pyannote[3434].speaker SPEAKER_30
transcript.pyannote[3434].start 19633.99221875
transcript.pyannote[3434].end 19634.59971875
transcript.pyannote[3435].speaker SPEAKER_30
transcript.pyannote[3435].start 19634.71784375
transcript.pyannote[3435].end 19635.37596875
transcript.pyannote[3436].speaker SPEAKER_30
transcript.pyannote[3436].start 19636.72596875
transcript.pyannote[3436].end 19637.06346875
transcript.pyannote[3437].speaker SPEAKER_30
transcript.pyannote[3437].start 19637.58659375
transcript.pyannote[3437].end 19638.36284375
transcript.pyannote[3438].speaker SPEAKER_30
transcript.pyannote[3438].start 19638.63284375
transcript.pyannote[3438].end 19639.71284375
transcript.pyannote[3439].speaker SPEAKER_30
transcript.pyannote[3439].start 19640.26971875
transcript.pyannote[3439].end 19642.00784375
transcript.pyannote[3440].speaker SPEAKER_30
transcript.pyannote[3440].start 19642.37909375
transcript.pyannote[3440].end 19644.67409375
transcript.pyannote[3441].speaker SPEAKER_30
transcript.pyannote[3441].start 19645.63596875
transcript.pyannote[3441].end 19648.72409375
transcript.pyannote[3442].speaker SPEAKER_30
transcript.pyannote[3442].start 19649.17971875
transcript.pyannote[3442].end 19651.84596875
transcript.pyannote[3443].speaker SPEAKER_30
transcript.pyannote[3443].start 19653.14534375
transcript.pyannote[3443].end 19654.22534375
transcript.pyannote[3444].speaker SPEAKER_30
transcript.pyannote[3444].start 19654.69784375
transcript.pyannote[3444].end 19655.17034375
transcript.pyannote[3445].speaker SPEAKER_30
transcript.pyannote[3445].start 19655.54159375
transcript.pyannote[3445].end 19656.09846875
transcript.pyannote[3446].speaker SPEAKER_30
transcript.pyannote[3446].start 19656.46971875
transcript.pyannote[3446].end 19656.92534375
transcript.pyannote[3447].speaker SPEAKER_30
transcript.pyannote[3447].start 19657.51596875
transcript.pyannote[3447].end 19659.55784375
transcript.pyannote[3448].speaker SPEAKER_30
transcript.pyannote[3448].start 19659.70971875
transcript.pyannote[3448].end 19660.77284375
transcript.pyannote[3449].speaker SPEAKER_30
transcript.pyannote[3449].start 19664.19846875
transcript.pyannote[3449].end 19665.88596875
transcript.pyannote[3450].speaker SPEAKER_30
transcript.pyannote[3450].start 19666.32471875
transcript.pyannote[3450].end 19667.62409375
transcript.pyannote[3451].speaker SPEAKER_30
transcript.pyannote[3451].start 19669.81784375
transcript.pyannote[3451].end 19671.42096875
transcript.pyannote[3452].speaker SPEAKER_30
transcript.pyannote[3452].start 19672.39971875
transcript.pyannote[3452].end 19683.99284375
transcript.pyannote[3453].speaker SPEAKER_30
transcript.pyannote[3453].start 19684.51596875
transcript.pyannote[3453].end 19687.23284375
transcript.pyannote[3454].speaker SPEAKER_30
transcript.pyannote[3454].start 19687.46909375
transcript.pyannote[3454].end 19688.22846875
transcript.pyannote[3455].speaker SPEAKER_30
transcript.pyannote[3455].start 19688.83596875
transcript.pyannote[3455].end 19689.71346875
transcript.pyannote[3456].speaker SPEAKER_30
transcript.pyannote[3456].start 19690.65846875
transcript.pyannote[3456].end 19691.26596875
transcript.pyannote[3457].speaker SPEAKER_30
transcript.pyannote[3457].start 19691.58659375
transcript.pyannote[3457].end 19692.19409375
transcript.pyannote[3458].speaker SPEAKER_30
transcript.pyannote[3458].start 19693.54409375
transcript.pyannote[3458].end 19694.35409375
transcript.pyannote[3459].speaker SPEAKER_38
transcript.pyannote[3459].start 19694.77596875
transcript.pyannote[3459].end 19695.11346875
transcript.pyannote[3460].speaker SPEAKER_30
transcript.pyannote[3460].start 19695.18096875
transcript.pyannote[3460].end 19695.78846875
transcript.pyannote[3461].speaker SPEAKER_30
transcript.pyannote[3461].start 19695.97409375
transcript.pyannote[3461].end 19697.23971875
transcript.pyannote[3462].speaker SPEAKER_29
transcript.pyannote[3462].start 19697.23971875
transcript.pyannote[3462].end 19697.34096875
transcript.pyannote[3463].speaker SPEAKER_29
transcript.pyannote[3463].start 19697.72909375
transcript.pyannote[3463].end 19697.74596875
transcript.pyannote[3464].speaker SPEAKER_30
transcript.pyannote[3464].start 19697.74596875
transcript.pyannote[3464].end 19697.96534375
transcript.pyannote[3465].speaker SPEAKER_29
transcript.pyannote[3465].start 19697.96534375
transcript.pyannote[3465].end 19700.80034375
transcript.pyannote[3466].speaker SPEAKER_08
transcript.pyannote[3466].start 19700.39534375
transcript.pyannote[3466].end 19705.05284375
transcript.pyannote[3467].speaker SPEAKER_23
transcript.pyannote[3467].start 19714.16534375
transcript.pyannote[3467].end 19718.40096875
transcript.pyannote[3468].speaker SPEAKER_23
transcript.pyannote[3468].start 19723.61534375
transcript.pyannote[3468].end 19725.72471875
transcript.pyannote[3469].speaker SPEAKER_23
transcript.pyannote[3469].start 19726.73721875
transcript.pyannote[3469].end 19748.40471875
transcript.pyannote[3470].speaker SPEAKER_29
transcript.pyannote[3470].start 19733.68971875
transcript.pyannote[3470].end 19734.97221875
transcript.pyannote[3471].speaker SPEAKER_29
transcript.pyannote[3471].start 19735.98471875
transcript.pyannote[3471].end 19738.51596875
transcript.pyannote[3472].speaker SPEAKER_23
transcript.pyannote[3472].start 19748.70846875
transcript.pyannote[3472].end 19750.75034375
transcript.pyannote[3473].speaker SPEAKER_23
transcript.pyannote[3473].start 19750.85159375
transcript.pyannote[3473].end 19753.95659375
transcript.pyannote[3474].speaker SPEAKER_23
transcript.pyannote[3474].start 19754.14221875
transcript.pyannote[3474].end 19759.59284375
transcript.pyannote[3475].speaker SPEAKER_23
transcript.pyannote[3475].start 19759.94721875
transcript.pyannote[3475].end 19765.85346875
transcript.pyannote[3476].speaker SPEAKER_23
transcript.pyannote[3476].start 19766.66346875
transcript.pyannote[3476].end 19768.97534375
transcript.pyannote[3477].speaker SPEAKER_23
transcript.pyannote[3477].start 19769.48159375
transcript.pyannote[3477].end 19771.64159375
transcript.pyannote[3478].speaker SPEAKER_23
transcript.pyannote[3478].start 19771.96221875
transcript.pyannote[3478].end 19773.64971875
transcript.pyannote[3479].speaker SPEAKER_23
transcript.pyannote[3479].start 19773.98721875
transcript.pyannote[3479].end 19777.02471875
transcript.pyannote[3480].speaker SPEAKER_23
transcript.pyannote[3480].start 19777.44659375
transcript.pyannote[3480].end 19785.93471875
transcript.pyannote[3481].speaker SPEAKER_23
transcript.pyannote[3481].start 19786.39034375
transcript.pyannote[3481].end 19794.55784375
transcript.pyannote[3482].speaker SPEAKER_23
transcript.pyannote[3482].start 19794.96284375
transcript.pyannote[3482].end 19799.53596875
transcript.pyannote[3483].speaker SPEAKER_23
transcript.pyannote[3483].start 19799.95784375
transcript.pyannote[3483].end 19800.59909375
transcript.pyannote[3484].speaker SPEAKER_23
transcript.pyannote[3484].start 19801.54409375
transcript.pyannote[3484].end 19809.77909375
transcript.pyannote[3485].speaker SPEAKER_23
transcript.pyannote[3485].start 19810.58909375
transcript.pyannote[3485].end 19812.31034375
transcript.pyannote[3486].speaker SPEAKER_23
transcript.pyannote[3486].start 19812.74909375
transcript.pyannote[3486].end 19828.24034375
transcript.pyannote[3487].speaker SPEAKER_23
transcript.pyannote[3487].start 19828.91534375
transcript.pyannote[3487].end 19842.87096875
transcript.pyannote[3488].speaker SPEAKER_23
transcript.pyannote[3488].start 19843.68096875
transcript.pyannote[3488].end 19847.29221875
transcript.pyannote[3489].speaker SPEAKER_23
transcript.pyannote[3489].start 19847.49471875
transcript.pyannote[3489].end 19850.68409375
transcript.pyannote[3490].speaker SPEAKER_23
transcript.pyannote[3490].start 19852.01721875
transcript.pyannote[3490].end 19854.27846875
transcript.pyannote[3491].speaker SPEAKER_23
transcript.pyannote[3491].start 19854.44721875
transcript.pyannote[3491].end 19856.55659375
transcript.pyannote[3492].speaker SPEAKER_23
transcript.pyannote[3492].start 19856.87721875
transcript.pyannote[3492].end 19859.62784375
transcript.pyannote[3493].speaker SPEAKER_23
transcript.pyannote[3493].start 19859.83034375
transcript.pyannote[3493].end 19860.20159375
transcript.pyannote[3494].speaker SPEAKER_23
transcript.pyannote[3494].start 19860.55596875
transcript.pyannote[3494].end 19867.25534375
transcript.pyannote[3495].speaker SPEAKER_23
transcript.pyannote[3495].start 19867.66034375
transcript.pyannote[3495].end 19869.43221875
transcript.pyannote[3496].speaker SPEAKER_23
transcript.pyannote[3496].start 19870.32659375
transcript.pyannote[3496].end 19871.65971875
transcript.pyannote[3497].speaker SPEAKER_23
transcript.pyannote[3497].start 19872.36846875
transcript.pyannote[3497].end 19873.19534375
transcript.pyannote[3498].speaker SPEAKER_23
transcript.pyannote[3498].start 19873.83659375
transcript.pyannote[3498].end 19874.86596875
transcript.pyannote[3499].speaker SPEAKER_23
transcript.pyannote[3499].start 19875.69284375
transcript.pyannote[3499].end 19879.10159375
transcript.pyannote[3500].speaker SPEAKER_23
transcript.pyannote[3500].start 19880.01284375
transcript.pyannote[3500].end 19882.71284375
transcript.pyannote[3501].speaker SPEAKER_23
transcript.pyannote[3501].start 19882.98284375
transcript.pyannote[3501].end 19889.02409375
transcript.pyannote[3502].speaker SPEAKER_23
transcript.pyannote[3502].start 19889.49659375
transcript.pyannote[3502].end 19899.45284375
transcript.pyannote[3503].speaker SPEAKER_23
transcript.pyannote[3503].start 19899.68909375
transcript.pyannote[3503].end 19901.66346875
transcript.pyannote[3504].speaker SPEAKER_23
transcript.pyannote[3504].start 19902.37221875
transcript.pyannote[3504].end 19909.27409375
transcript.pyannote[3505].speaker SPEAKER_23
transcript.pyannote[3505].start 19909.52721875
transcript.pyannote[3505].end 19912.42971875
transcript.pyannote[3506].speaker SPEAKER_23
transcript.pyannote[3506].start 19912.86846875
transcript.pyannote[3506].end 19915.16346875
transcript.pyannote[3507].speaker SPEAKER_23
transcript.pyannote[3507].start 19915.48409375
transcript.pyannote[3507].end 19922.65596875
transcript.pyannote[3508].speaker SPEAKER_23
transcript.pyannote[3508].start 19923.39846875
transcript.pyannote[3508].end 19927.70159375
transcript.pyannote[3509].speaker SPEAKER_23
transcript.pyannote[3509].start 19927.97159375
transcript.pyannote[3509].end 19938.41721875
transcript.pyannote[3510].speaker SPEAKER_23
transcript.pyannote[3510].start 19938.43409375
transcript.pyannote[3510].end 19939.96971875
transcript.pyannote[3511].speaker SPEAKER_23
transcript.pyannote[3511].start 19940.66159375
transcript.pyannote[3511].end 19942.45034375
transcript.pyannote[3512].speaker SPEAKER_23
transcript.pyannote[3512].start 19943.05784375
transcript.pyannote[3512].end 19953.79034375
transcript.pyannote[3513].speaker SPEAKER_23
transcript.pyannote[3513].start 19954.19534375
transcript.pyannote[3513].end 19971.13784375
transcript.pyannote[3514].speaker SPEAKER_23
transcript.pyannote[3514].start 19971.49221875
transcript.pyannote[3514].end 19974.09096875
transcript.pyannote[3515].speaker SPEAKER_23
transcript.pyannote[3515].start 19974.68159375
transcript.pyannote[3515].end 19980.09846875
transcript.pyannote[3516].speaker SPEAKER_23
transcript.pyannote[3516].start 19980.23346875
transcript.pyannote[3516].end 19989.59909375
transcript.pyannote[3517].speaker SPEAKER_23
transcript.pyannote[3517].start 19990.15596875
transcript.pyannote[3517].end 19992.09659375
transcript.pyannote[3518].speaker SPEAKER_23
transcript.pyannote[3518].start 19992.34971875
transcript.pyannote[3518].end 19999.30221875
transcript.pyannote[3519].speaker SPEAKER_23
transcript.pyannote[3519].start 19999.80846875
transcript.pyannote[3519].end 20009.66346875
transcript.pyannote[3520].speaker SPEAKER_23
transcript.pyannote[3520].start 20010.00096875
transcript.pyannote[3520].end 20020.09221875
transcript.pyannote[3521].speaker SPEAKER_23
transcript.pyannote[3521].start 20020.29471875
transcript.pyannote[3521].end 20038.31721875
transcript.pyannote[3522].speaker SPEAKER_23
transcript.pyannote[3522].start 20039.07659375
transcript.pyannote[3522].end 20051.64846875
transcript.pyannote[3523].speaker SPEAKER_23
transcript.pyannote[3523].start 20052.42471875
transcript.pyannote[3523].end 20053.25159375
transcript.pyannote[3524].speaker SPEAKER_23
transcript.pyannote[3524].start 20053.70721875
transcript.pyannote[3524].end 20057.53784375
transcript.pyannote[3525].speaker SPEAKER_23
transcript.pyannote[3525].start 20058.29721875
transcript.pyannote[3525].end 20059.27596875
transcript.pyannote[3526].speaker SPEAKER_23
transcript.pyannote[3526].start 20059.54596875
transcript.pyannote[3526].end 20070.66659375
transcript.pyannote[3527].speaker SPEAKER_23
transcript.pyannote[3527].start 20071.03784375
transcript.pyannote[3527].end 20071.59471875
transcript.pyannote[3528].speaker SPEAKER_23
transcript.pyannote[3528].start 20072.97846875
transcript.pyannote[3528].end 20076.77534375
transcript.pyannote[3529].speaker SPEAKER_23
transcript.pyannote[3529].start 20076.96096875
transcript.pyannote[3529].end 20083.06971875
transcript.pyannote[3530].speaker SPEAKER_23
transcript.pyannote[3530].start 20084.55471875
transcript.pyannote[3530].end 20093.58284375
transcript.pyannote[3531].speaker SPEAKER_23
transcript.pyannote[3531].start 20093.93721875
transcript.pyannote[3531].end 20108.98971875
transcript.pyannote[3532].speaker SPEAKER_23
transcript.pyannote[3532].start 20109.83346875
transcript.pyannote[3532].end 20110.32284375
transcript.pyannote[3533].speaker SPEAKER_23
transcript.pyannote[3533].start 20110.91346875
transcript.pyannote[3533].end 20112.76971875
transcript.pyannote[3534].speaker SPEAKER_23
transcript.pyannote[3534].start 20113.42784375
transcript.pyannote[3534].end 20114.08596875
transcript.pyannote[3535].speaker SPEAKER_23
transcript.pyannote[3535].start 20114.30534375
transcript.pyannote[3535].end 20116.21221875
transcript.pyannote[3536].speaker SPEAKER_23
transcript.pyannote[3536].start 20117.10659375
transcript.pyannote[3536].end 20119.62096875
transcript.pyannote[3537].speaker SPEAKER_23
transcript.pyannote[3537].start 20120.02596875
transcript.pyannote[3537].end 20146.50284375
transcript.pyannote[3538].speaker SPEAKER_23
transcript.pyannote[3538].start 20146.82346875
transcript.pyannote[3538].end 20160.99846875
transcript.pyannote[3539].speaker SPEAKER_23
transcript.pyannote[3539].start 20162.14596875
transcript.pyannote[3539].end 20165.62221875
transcript.pyannote[3540].speaker SPEAKER_23
transcript.pyannote[3540].start 20165.87534375
transcript.pyannote[3540].end 20166.46596875
transcript.pyannote[3541].speaker SPEAKER_23
transcript.pyannote[3541].start 20166.70221875
transcript.pyannote[3541].end 20170.04346875
transcript.pyannote[3542].speaker SPEAKER_23
transcript.pyannote[3542].start 20170.95471875
transcript.pyannote[3542].end 20171.56221875
transcript.pyannote[3543].speaker SPEAKER_23
transcript.pyannote[3543].start 20172.43971875
transcript.pyannote[3543].end 20183.00346875
transcript.pyannote[3544].speaker SPEAKER_23
transcript.pyannote[3544].start 20185.19721875
transcript.pyannote[3544].end 20186.53034375
transcript.pyannote[3545].speaker SPEAKER_29
transcript.pyannote[3545].start 20185.23096875
transcript.pyannote[3545].end 20210.17221875
transcript.pyannote[3546].speaker SPEAKER_40
transcript.pyannote[3546].start 20186.53034375
transcript.pyannote[3546].end 20186.61471875
transcript.pyannote[3547].speaker SPEAKER_29
transcript.pyannote[3547].start 20210.40846875
transcript.pyannote[3547].end 20216.26409375
transcript.pyannote[3548].speaker SPEAKER_29
transcript.pyannote[3548].start 20216.61846875
transcript.pyannote[3548].end 20219.82471875
transcript.pyannote[3549].speaker SPEAKER_29
transcript.pyannote[3549].start 20220.04409375
transcript.pyannote[3549].end 20234.35409375
transcript.pyannote[3550].speaker SPEAKER_29
transcript.pyannote[3550].start 20234.40471875
transcript.pyannote[3550].end 20238.21846875
transcript.pyannote[3551].speaker SPEAKER_29
transcript.pyannote[3551].start 20238.58971875
transcript.pyannote[3551].end 20245.20471875
transcript.pyannote[3552].speaker SPEAKER_38
transcript.pyannote[3552].start 20245.13721875
transcript.pyannote[3552].end 20245.15409375
transcript.pyannote[3553].speaker SPEAKER_38
transcript.pyannote[3553].start 20245.20471875
transcript.pyannote[3553].end 20245.25534375
transcript.pyannote[3554].speaker SPEAKER_29
transcript.pyannote[3554].start 20245.25534375
transcript.pyannote[3554].end 20245.47471875
transcript.pyannote[3555].speaker SPEAKER_29
transcript.pyannote[3555].start 20245.50846875
transcript.pyannote[3555].end 20247.02721875
transcript.pyannote[3556].speaker SPEAKER_29
transcript.pyannote[3556].start 20247.68534375
transcript.pyannote[3556].end 20257.74284375
transcript.pyannote[3557].speaker SPEAKER_38
transcript.pyannote[3557].start 20257.74284375
transcript.pyannote[3557].end 20257.87784375
transcript.pyannote[3558].speaker SPEAKER_29
transcript.pyannote[3558].start 20257.87784375
transcript.pyannote[3558].end 20259.36284375
transcript.pyannote[3559].speaker SPEAKER_29
transcript.pyannote[3559].start 20259.88596875
transcript.pyannote[3559].end 20261.26971875
transcript.pyannote[3560].speaker SPEAKER_29
transcript.pyannote[3560].start 20262.18096875
transcript.pyannote[3560].end 20268.52596875
transcript.pyannote[3561].speaker SPEAKER_29
transcript.pyannote[3561].start 20268.71159375
transcript.pyannote[3561].end 20273.26784375
transcript.pyannote[3562].speaker SPEAKER_23
transcript.pyannote[3562].start 20273.11596875
transcript.pyannote[3562].end 20278.63409375
transcript.pyannote[3563].speaker SPEAKER_28
transcript.pyannote[3563].start 20278.75221875
transcript.pyannote[3563].end 20283.12284375
transcript.pyannote[3564].speaker SPEAKER_23
transcript.pyannote[3564].start 20281.08096875
transcript.pyannote[3564].end 20292.55596875
transcript.pyannote[3565].speaker SPEAKER_29
transcript.pyannote[3565].start 20283.12284375
transcript.pyannote[3565].end 20283.13971875
transcript.pyannote[3566].speaker SPEAKER_23
transcript.pyannote[3566].start 20292.85971875
transcript.pyannote[3566].end 20295.79596875
transcript.pyannote[3567].speaker SPEAKER_29
transcript.pyannote[3567].start 20295.05346875
transcript.pyannote[3567].end 20298.17534375
transcript.pyannote[3568].speaker SPEAKER_23
transcript.pyannote[3568].start 20298.09096875
transcript.pyannote[3568].end 20300.33534375
transcript.pyannote[3569].speaker SPEAKER_23
transcript.pyannote[3569].start 20300.50409375
transcript.pyannote[3569].end 20302.02284375
transcript.pyannote[3570].speaker SPEAKER_23
transcript.pyannote[3570].start 20302.36034375
transcript.pyannote[3570].end 20304.65534375
transcript.pyannote[3571].speaker SPEAKER_23
transcript.pyannote[3571].start 20304.84096875
transcript.pyannote[3571].end 20326.05284375
transcript.pyannote[3572].speaker SPEAKER_23
transcript.pyannote[3572].start 20328.12846875
transcript.pyannote[3572].end 20350.30221875
transcript.pyannote[3573].speaker SPEAKER_29
transcript.pyannote[3573].start 20350.30221875
transcript.pyannote[3573].end 20357.59221875
transcript.pyannote[3574].speaker SPEAKER_23
transcript.pyannote[3574].start 20357.74409375
transcript.pyannote[3574].end 20360.89971875
transcript.pyannote[3575].speaker SPEAKER_23
transcript.pyannote[3575].start 20361.84471875
transcript.pyannote[3575].end 20364.46034375
transcript.pyannote[3576].speaker SPEAKER_23
transcript.pyannote[3576].start 20364.79784375
transcript.pyannote[3576].end 20378.66909375
transcript.pyannote[3577].speaker SPEAKER_23
transcript.pyannote[3577].start 20379.04034375
transcript.pyannote[3577].end 20386.78596875
transcript.pyannote[3578].speaker SPEAKER_29
transcript.pyannote[3578].start 20386.93784375
transcript.pyannote[3578].end 20386.95471875
transcript.pyannote[3579].speaker SPEAKER_28
transcript.pyannote[3579].start 20386.95471875
transcript.pyannote[3579].end 20445.12284375
transcript.pyannote[3580].speaker SPEAKER_28
transcript.pyannote[3580].start 20445.19034375
transcript.pyannote[3580].end 20476.20659375
transcript.pyannote[3581].speaker SPEAKER_28
transcript.pyannote[3581].start 20476.54409375
transcript.pyannote[3581].end 20498.38034375
transcript.pyannote[3582].speaker SPEAKER_23
transcript.pyannote[3582].start 20497.94159375
transcript.pyannote[3582].end 20502.83534375
transcript.pyannote[3583].speaker SPEAKER_28
transcript.pyannote[3583].start 20501.50221875
transcript.pyannote[3583].end 20501.51909375
transcript.pyannote[3584].speaker SPEAKER_08
transcript.pyannote[3584].start 20501.51909375
transcript.pyannote[3584].end 20504.79284375
transcript.pyannote[3585].speaker SPEAKER_08
transcript.pyannote[3585].start 20505.29909375
transcript.pyannote[3585].end 20508.25221875
transcript.pyannote[3586].speaker SPEAKER_21
transcript.pyannote[3586].start 20517.22971875
transcript.pyannote[3586].end 20519.47409375
transcript.pyannote[3587].speaker SPEAKER_40
transcript.pyannote[3587].start 20524.14846875
transcript.pyannote[3587].end 20524.72221875
transcript.pyannote[3588].speaker SPEAKER_21
transcript.pyannote[3588].start 20524.85721875
transcript.pyannote[3588].end 20526.13971875
transcript.pyannote[3589].speaker SPEAKER_40
transcript.pyannote[3589].start 20526.13971875
transcript.pyannote[3589].end 20526.44346875
transcript.pyannote[3590].speaker SPEAKER_21
transcript.pyannote[3590].start 20526.44346875
transcript.pyannote[3590].end 20538.79596875
transcript.pyannote[3591].speaker SPEAKER_21
transcript.pyannote[3591].start 20539.20096875
transcript.pyannote[3591].end 20555.83971875
transcript.pyannote[3592].speaker SPEAKER_21
transcript.pyannote[3592].start 20556.22784375
transcript.pyannote[3592].end 20580.19034375
transcript.pyannote[3593].speaker SPEAKER_21
transcript.pyannote[3593].start 20580.42659375
transcript.pyannote[3593].end 20632.41846875
transcript.pyannote[3594].speaker SPEAKER_21
transcript.pyannote[3594].start 20632.68846875
transcript.pyannote[3594].end 20634.08909375
transcript.pyannote[3595].speaker SPEAKER_21
transcript.pyannote[3595].start 20634.44346875
transcript.pyannote[3595].end 20678.13284375
transcript.pyannote[3596].speaker SPEAKER_29
transcript.pyannote[3596].start 20679.36471875
transcript.pyannote[3596].end 20684.00534375
transcript.pyannote[3597].speaker SPEAKER_20
transcript.pyannote[3597].start 20684.00534375
transcript.pyannote[3597].end 20706.01034375
transcript.pyannote[3598].speaker SPEAKER_20
transcript.pyannote[3598].start 20706.93846875
transcript.pyannote[3598].end 20720.97846875
transcript.pyannote[3599].speaker SPEAKER_21
transcript.pyannote[3599].start 20716.97909375
transcript.pyannote[3599].end 20718.17721875
transcript.pyannote[3600].speaker SPEAKER_21
transcript.pyannote[3600].start 20720.97846875
transcript.pyannote[3600].end 20732.09909375
transcript.pyannote[3601].speaker SPEAKER_20
transcript.pyannote[3601].start 20731.89659375
transcript.pyannote[3601].end 20739.72659375
transcript.pyannote[3602].speaker SPEAKER_21
transcript.pyannote[3602].start 20733.61784375
transcript.pyannote[3602].end 20734.29284375
transcript.pyannote[3603].speaker SPEAKER_00
transcript.pyannote[3603].start 20737.27971875
transcript.pyannote[3603].end 20737.33034375
transcript.pyannote[3604].speaker SPEAKER_21
transcript.pyannote[3604].start 20737.33034375
transcript.pyannote[3604].end 20738.98409375
transcript.pyannote[3605].speaker SPEAKER_20
transcript.pyannote[3605].start 20739.81096875
transcript.pyannote[3605].end 20746.96596875
transcript.pyannote[3606].speaker SPEAKER_00
transcript.pyannote[3606].start 20740.31721875
transcript.pyannote[3606].end 20740.35096875
transcript.pyannote[3607].speaker SPEAKER_21
transcript.pyannote[3607].start 20740.35096875
transcript.pyannote[3607].end 20741.86971875
transcript.pyannote[3608].speaker SPEAKER_21
transcript.pyannote[3608].start 20746.96596875
transcript.pyannote[3608].end 20785.98096875
transcript.pyannote[3609].speaker SPEAKER_20
transcript.pyannote[3609].start 20786.21721875
transcript.pyannote[3609].end 20815.96784375
transcript.pyannote[3610].speaker SPEAKER_21
transcript.pyannote[3610].start 20815.96784375
transcript.pyannote[3610].end 20817.40221875
transcript.pyannote[3611].speaker SPEAKER_20
transcript.pyannote[3611].start 20818.81971875
transcript.pyannote[3611].end 20818.85346875
transcript.pyannote[3612].speaker SPEAKER_21
transcript.pyannote[3612].start 20818.85346875
transcript.pyannote[3612].end 20820.30471875
transcript.pyannote[3613].speaker SPEAKER_12
transcript.pyannote[3613].start 20818.98846875
transcript.pyannote[3613].end 20819.14034375
transcript.pyannote[3614].speaker SPEAKER_12
transcript.pyannote[3614].start 20820.30471875
transcript.pyannote[3614].end 20831.56034375
transcript.pyannote[3615].speaker SPEAKER_21
transcript.pyannote[3615].start 20826.53159375
transcript.pyannote[3615].end 20829.23159375
transcript.pyannote[3616].speaker SPEAKER_21
transcript.pyannote[3616].start 20830.56471875
transcript.pyannote[3616].end 20831.69534375
transcript.pyannote[3617].speaker SPEAKER_12
transcript.pyannote[3617].start 20831.69534375
transcript.pyannote[3617].end 20841.80346875
transcript.pyannote[3618].speaker SPEAKER_21
transcript.pyannote[3618].start 20832.72471875
transcript.pyannote[3618].end 20833.87221875
transcript.pyannote[3619].speaker SPEAKER_16
transcript.pyannote[3619].start 20841.41534375
transcript.pyannote[3619].end 20841.44909375
transcript.pyannote[3620].speaker SPEAKER_21
transcript.pyannote[3620].start 20841.44909375
transcript.pyannote[3620].end 20842.86659375
transcript.pyannote[3621].speaker SPEAKER_12
transcript.pyannote[3621].start 20844.03096875
transcript.pyannote[3621].end 20844.52034375
transcript.pyannote[3622].speaker SPEAKER_21
transcript.pyannote[3622].start 20845.17846875
transcript.pyannote[3622].end 20846.83221875
transcript.pyannote[3623].speaker SPEAKER_21
transcript.pyannote[3623].start 20847.11909375
transcript.pyannote[3623].end 20892.90096875
transcript.pyannote[3624].speaker SPEAKER_21
transcript.pyannote[3624].start 20893.64346875
transcript.pyannote[3624].end 20913.23534375
transcript.pyannote[3625].speaker SPEAKER_29
transcript.pyannote[3625].start 20913.23534375
transcript.pyannote[3625].end 20917.53846875
transcript.pyannote[3626].speaker SPEAKER_21
transcript.pyannote[3626].start 20916.84659375
transcript.pyannote[3626].end 20918.12909375
transcript.pyannote[3627].speaker SPEAKER_16
transcript.pyannote[3627].start 20917.53846875
transcript.pyannote[3627].end 20917.58909375
transcript.pyannote[3628].speaker SPEAKER_16
transcript.pyannote[3628].start 20918.07846875
transcript.pyannote[3628].end 20918.80409375
transcript.pyannote[3629].speaker SPEAKER_29
transcript.pyannote[3629].start 20918.12909375
transcript.pyannote[3629].end 20919.02346875
transcript.pyannote[3630].speaker SPEAKER_21
transcript.pyannote[3630].start 20918.80409375
transcript.pyannote[3630].end 20918.97284375
transcript.pyannote[3631].speaker SPEAKER_08
transcript.pyannote[3631].start 20919.02346875
transcript.pyannote[3631].end 20919.61409375
transcript.pyannote[3632].speaker SPEAKER_08
transcript.pyannote[3632].start 20921.09909375
transcript.pyannote[3632].end 20922.80346875
transcript.pyannote[3633].speaker SPEAKER_08
transcript.pyannote[3633].start 20925.38534375
transcript.pyannote[3633].end 20928.03471875
transcript.pyannote[3634].speaker SPEAKER_08
transcript.pyannote[3634].start 20928.54096875
transcript.pyannote[3634].end 20930.66721875
transcript.pyannote[3635].speaker SPEAKER_07
transcript.pyannote[3635].start 20930.66721875
transcript.pyannote[3635].end 20930.68409375
transcript.pyannote[3636].speaker SPEAKER_25
transcript.pyannote[3636].start 20938.26096875
transcript.pyannote[3636].end 20943.25596875
transcript.pyannote[3637].speaker SPEAKER_25
transcript.pyannote[3637].start 20944.63971875
transcript.pyannote[3637].end 20945.12909375
transcript.pyannote[3638].speaker SPEAKER_25
transcript.pyannote[3638].start 20947.64346875
transcript.pyannote[3638].end 20949.38159375
transcript.pyannote[3639].speaker SPEAKER_25
transcript.pyannote[3639].start 20951.08596875
transcript.pyannote[3639].end 20954.22471875
transcript.pyannote[3640].speaker SPEAKER_25
transcript.pyannote[3640].start 20955.70971875
transcript.pyannote[3640].end 20955.96284375
transcript.pyannote[3641].speaker SPEAKER_26
transcript.pyannote[3641].start 20955.96284375
transcript.pyannote[3641].end 20962.72971875
transcript.pyannote[3642].speaker SPEAKER_26
transcript.pyannote[3642].start 20963.05034375
transcript.pyannote[3642].end 20965.91909375
transcript.pyannote[3643].speaker SPEAKER_26
transcript.pyannote[3643].start 20966.56034375
transcript.pyannote[3643].end 20966.91471875
transcript.pyannote[3644].speaker SPEAKER_26
transcript.pyannote[3644].start 20967.31971875
transcript.pyannote[3644].end 20974.08659375
transcript.pyannote[3645].speaker SPEAKER_38
transcript.pyannote[3645].start 20968.53471875
transcript.pyannote[3645].end 20969.96909375
transcript.pyannote[3646].speaker SPEAKER_26
transcript.pyannote[3646].start 20974.17096875
transcript.pyannote[3646].end 20974.22159375
transcript.pyannote[3647].speaker SPEAKER_38
transcript.pyannote[3647].start 20974.22159375
transcript.pyannote[3647].end 20974.27221875
transcript.pyannote[3648].speaker SPEAKER_26
transcript.pyannote[3648].start 20974.27221875
transcript.pyannote[3648].end 20974.39034375
transcript.pyannote[3649].speaker SPEAKER_38
transcript.pyannote[3649].start 20974.39034375
transcript.pyannote[3649].end 20974.40721875
transcript.pyannote[3650].speaker SPEAKER_26
transcript.pyannote[3650].start 20974.40721875
transcript.pyannote[3650].end 20977.56284375
transcript.pyannote[3651].speaker SPEAKER_26
transcript.pyannote[3651].start 20978.59221875
transcript.pyannote[3651].end 20984.21159375
transcript.pyannote[3652].speaker SPEAKER_29
transcript.pyannote[3652].start 20983.60409375
transcript.pyannote[3652].end 20983.63784375
transcript.pyannote[3653].speaker SPEAKER_29
transcript.pyannote[3653].start 20984.21159375
transcript.pyannote[3653].end 20984.66721875
transcript.pyannote[3654].speaker SPEAKER_26
transcript.pyannote[3654].start 20984.66721875
transcript.pyannote[3654].end 20989.12221875
transcript.pyannote[3655].speaker SPEAKER_26
transcript.pyannote[3655].start 20989.86471875
transcript.pyannote[3655].end 20990.89409375
transcript.pyannote[3656].speaker SPEAKER_26
transcript.pyannote[3656].start 20991.80534375
transcript.pyannote[3656].end 20995.93971875
transcript.pyannote[3657].speaker SPEAKER_26
transcript.pyannote[3657].start 20996.76659375
transcript.pyannote[3657].end 21002.23409375
transcript.pyannote[3658].speaker SPEAKER_26
transcript.pyannote[3658].start 21003.01034375
transcript.pyannote[3658].end 21007.31346875
transcript.pyannote[3659].speaker SPEAKER_26
transcript.pyannote[3659].start 21010.95846875
transcript.pyannote[3659].end 21011.16096875
transcript.pyannote[3660].speaker SPEAKER_21
transcript.pyannote[3660].start 21011.38034375
transcript.pyannote[3660].end 21011.73471875
transcript.pyannote[3661].speaker SPEAKER_26
transcript.pyannote[3661].start 21012.22409375
transcript.pyannote[3661].end 21012.47721875
transcript.pyannote[3662].speaker SPEAKER_21
transcript.pyannote[3662].start 21012.64596875
transcript.pyannote[3662].end 21017.87721875
transcript.pyannote[3663].speaker SPEAKER_21
transcript.pyannote[3663].start 21017.99534375
transcript.pyannote[3663].end 21018.02909375
transcript.pyannote[3664].speaker SPEAKER_26
transcript.pyannote[3664].start 21018.02909375
transcript.pyannote[3664].end 21021.43784375
transcript.pyannote[3665].speaker SPEAKER_21
transcript.pyannote[3665].start 21020.62784375
transcript.pyannote[3665].end 21022.99034375
transcript.pyannote[3666].speaker SPEAKER_26
transcript.pyannote[3666].start 21023.42909375
transcript.pyannote[3666].end 21023.80034375
transcript.pyannote[3667].speaker SPEAKER_21
transcript.pyannote[3667].start 21023.80034375
transcript.pyannote[3667].end 21026.50034375
transcript.pyannote[3668].speaker SPEAKER_26
transcript.pyannote[3668].start 21026.55096875
transcript.pyannote[3668].end 21031.68096875
transcript.pyannote[3669].speaker SPEAKER_26
transcript.pyannote[3669].start 21031.96784375
transcript.pyannote[3669].end 21036.62534375
transcript.pyannote[3670].speaker SPEAKER_26
transcript.pyannote[3670].start 21037.82346875
transcript.pyannote[3670].end 21038.76846875
transcript.pyannote[3671].speaker SPEAKER_26
transcript.pyannote[3671].start 21039.62909375
transcript.pyannote[3671].end 21042.09284375
transcript.pyannote[3672].speaker SPEAKER_26
transcript.pyannote[3672].start 21042.43034375
transcript.pyannote[3672].end 21042.49784375
transcript.pyannote[3673].speaker SPEAKER_26
transcript.pyannote[3673].start 21043.20659375
transcript.pyannote[3673].end 21044.21909375
transcript.pyannote[3674].speaker SPEAKER_26
transcript.pyannote[3674].start 21044.60721875
transcript.pyannote[3674].end 21045.70409375
transcript.pyannote[3675].speaker SPEAKER_26
transcript.pyannote[3675].start 21048.42096875
transcript.pyannote[3675].end 21049.11284375
transcript.pyannote[3676].speaker SPEAKER_26
transcript.pyannote[3676].start 21049.16346875
transcript.pyannote[3676].end 21050.83409375
transcript.pyannote[3677].speaker SPEAKER_26
transcript.pyannote[3677].start 21052.18409375
transcript.pyannote[3677].end 21052.43721875
transcript.pyannote[3678].speaker SPEAKER_26
transcript.pyannote[3678].start 21053.58471875
transcript.pyannote[3678].end 21055.17096875
transcript.pyannote[3679].speaker SPEAKER_26
transcript.pyannote[3679].start 21055.57596875
transcript.pyannote[3679].end 21057.01034375
transcript.pyannote[3680].speaker SPEAKER_26
transcript.pyannote[3680].start 21057.33096875
transcript.pyannote[3680].end 21059.08596875
transcript.pyannote[3681].speaker SPEAKER_26
transcript.pyannote[3681].start 21059.67659375
transcript.pyannote[3681].end 21060.35159375
transcript.pyannote[3682].speaker SPEAKER_26
transcript.pyannote[3682].start 21061.48221875
transcript.pyannote[3682].end 21062.10659375
transcript.pyannote[3683].speaker SPEAKER_26
transcript.pyannote[3683].start 21063.37221875
transcript.pyannote[3683].end 21064.63784375
transcript.pyannote[3684].speaker SPEAKER_26
transcript.pyannote[3684].start 21064.87409375
transcript.pyannote[3684].end 21066.19034375
transcript.pyannote[3685].speaker SPEAKER_26
transcript.pyannote[3685].start 21066.67971875
transcript.pyannote[3685].end 21067.72596875
transcript.pyannote[3686].speaker SPEAKER_26
transcript.pyannote[3686].start 21068.50221875
transcript.pyannote[3686].end 21069.73409375
transcript.pyannote[3687].speaker SPEAKER_26
transcript.pyannote[3687].start 21070.02096875
transcript.pyannote[3687].end 21070.93221875
transcript.pyannote[3688].speaker SPEAKER_26
transcript.pyannote[3688].start 21071.48909375
transcript.pyannote[3688].end 21072.40034375
transcript.pyannote[3689].speaker SPEAKER_26
transcript.pyannote[3689].start 21072.65346875
transcript.pyannote[3689].end 21073.02471875
transcript.pyannote[3690].speaker SPEAKER_29
transcript.pyannote[3690].start 21073.75034375
transcript.pyannote[3690].end 21081.78284375
transcript.pyannote[3691].speaker SPEAKER_29
transcript.pyannote[3691].start 21082.45784375
transcript.pyannote[3691].end 21083.31846875
transcript.pyannote[3692].speaker SPEAKER_26
transcript.pyannote[3692].start 21082.69409375
transcript.pyannote[3692].end 21086.27159375
transcript.pyannote[3693].speaker SPEAKER_26
transcript.pyannote[3693].start 21086.55846875
transcript.pyannote[3693].end 21089.88284375
transcript.pyannote[3694].speaker SPEAKER_26
transcript.pyannote[3694].start 21090.57471875
transcript.pyannote[3694].end 21096.07596875
transcript.pyannote[3695].speaker SPEAKER_26
transcript.pyannote[3695].start 21096.86909375
transcript.pyannote[3695].end 21107.11221875
transcript.pyannote[3696].speaker SPEAKER_26
transcript.pyannote[3696].start 21108.54659375
transcript.pyannote[3696].end 21109.33971875
transcript.pyannote[3697].speaker SPEAKER_26
transcript.pyannote[3697].start 21110.21721875
transcript.pyannote[3697].end 21110.94284375
transcript.pyannote[3698].speaker SPEAKER_26
transcript.pyannote[3698].start 21112.32659375
transcript.pyannote[3698].end 21116.22471875
transcript.pyannote[3699].speaker SPEAKER_21
transcript.pyannote[3699].start 21117.77721875
transcript.pyannote[3699].end 21146.36346875
transcript.pyannote[3700].speaker SPEAKER_26
transcript.pyannote[3700].start 21119.05971875
transcript.pyannote[3700].end 21119.19471875
transcript.pyannote[3701].speaker SPEAKER_38
transcript.pyannote[3701].start 21125.05034375
transcript.pyannote[3701].end 21125.43846875
transcript.pyannote[3702].speaker SPEAKER_26
transcript.pyannote[3702].start 21146.04284375
transcript.pyannote[3702].end 21149.85659375
transcript.pyannote[3703].speaker SPEAKER_26
transcript.pyannote[3703].start 21150.19409375
transcript.pyannote[3703].end 21160.92659375
transcript.pyannote[3704].speaker SPEAKER_26
transcript.pyannote[3704].start 21161.48346875
transcript.pyannote[3704].end 21177.90284375
transcript.pyannote[3705].speaker SPEAKER_26
transcript.pyannote[3705].start 21178.56096875
transcript.pyannote[3705].end 21179.10096875
transcript.pyannote[3706].speaker SPEAKER_26
transcript.pyannote[3706].start 21179.75909375
transcript.pyannote[3706].end 21180.41721875
transcript.pyannote[3707].speaker SPEAKER_26
transcript.pyannote[3707].start 21180.83909375
transcript.pyannote[3707].end 21182.45909375
transcript.pyannote[3708].speaker SPEAKER_26
transcript.pyannote[3708].start 21182.72909375
transcript.pyannote[3708].end 21184.06221875
transcript.pyannote[3709].speaker SPEAKER_26
transcript.pyannote[3709].start 21186.86346875
transcript.pyannote[3709].end 21189.39471875
transcript.pyannote[3710].speaker SPEAKER_21
transcript.pyannote[3710].start 21189.56346875
transcript.pyannote[3710].end 21197.71409375
transcript.pyannote[3711].speaker SPEAKER_26
transcript.pyannote[3711].start 21197.64659375
transcript.pyannote[3711].end 21199.84034375
transcript.pyannote[3712].speaker SPEAKER_21
transcript.pyannote[3712].start 21197.88284375
transcript.pyannote[3712].end 21198.67596875
transcript.pyannote[3713].speaker SPEAKER_26
transcript.pyannote[3713].start 21199.97534375
transcript.pyannote[3713].end 21200.02596875
transcript.pyannote[3714].speaker SPEAKER_26
transcript.pyannote[3714].start 21200.16096875
transcript.pyannote[3714].end 21201.30846875
transcript.pyannote[3715].speaker SPEAKER_26
transcript.pyannote[3715].start 21201.54471875
transcript.pyannote[3715].end 21202.30409375
transcript.pyannote[3716].speaker SPEAKER_26
transcript.pyannote[3716].start 21202.94534375
transcript.pyannote[3716].end 21203.48534375
transcript.pyannote[3717].speaker SPEAKER_26
transcript.pyannote[3717].start 21204.53159375
transcript.pyannote[3717].end 21205.25721875
transcript.pyannote[3718].speaker SPEAKER_26
transcript.pyannote[3718].start 21206.69159375
transcript.pyannote[3718].end 21208.32846875
transcript.pyannote[3719].speaker SPEAKER_26
transcript.pyannote[3719].start 21209.08784375
transcript.pyannote[3719].end 21211.28159375
transcript.pyannote[3720].speaker SPEAKER_26
transcript.pyannote[3720].start 21212.71596875
transcript.pyannote[3720].end 21213.17159375
transcript.pyannote[3721].speaker SPEAKER_26
transcript.pyannote[3721].start 21214.11659375
transcript.pyannote[3721].end 21215.90534375
transcript.pyannote[3722].speaker SPEAKER_21
transcript.pyannote[3722].start 21217.10346875
transcript.pyannote[3722].end 21233.06721875
transcript.pyannote[3723].speaker SPEAKER_26
transcript.pyannote[3723].start 21233.06721875
transcript.pyannote[3723].end 21237.75846875
transcript.pyannote[3724].speaker SPEAKER_26
transcript.pyannote[3724].start 21237.87659375
transcript.pyannote[3724].end 21239.39534375
transcript.pyannote[3725].speaker SPEAKER_21
transcript.pyannote[3725].start 21238.09596875
transcript.pyannote[3725].end 21238.29846875
transcript.pyannote[3726].speaker SPEAKER_21
transcript.pyannote[3726].start 21239.39534375
transcript.pyannote[3726].end 21247.81596875
transcript.pyannote[3727].speaker SPEAKER_26
transcript.pyannote[3727].start 21242.87159375
transcript.pyannote[3727].end 21243.24284375
transcript.pyannote[3728].speaker SPEAKER_26
transcript.pyannote[3728].start 21246.19596875
transcript.pyannote[3728].end 21250.04346875
transcript.pyannote[3729].speaker SPEAKER_21
transcript.pyannote[3729].start 21250.63409375
transcript.pyannote[3729].end 21253.21596875
transcript.pyannote[3730].speaker SPEAKER_26
transcript.pyannote[3730].start 21251.86596875
transcript.pyannote[3730].end 21256.54034375
transcript.pyannote[3731].speaker SPEAKER_21
transcript.pyannote[3731].start 21256.37159375
transcript.pyannote[3731].end 21256.70909375
transcript.pyannote[3732].speaker SPEAKER_26
transcript.pyannote[3732].start 21256.79346875
transcript.pyannote[3732].end 21258.51471875
transcript.pyannote[3733].speaker SPEAKER_21
transcript.pyannote[3733].start 21257.56971875
transcript.pyannote[3733].end 21263.83034375
transcript.pyannote[3734].speaker SPEAKER_26
transcript.pyannote[3734].start 21263.62784375
transcript.pyannote[3734].end 21276.58784375
transcript.pyannote[3735].speaker SPEAKER_26
transcript.pyannote[3735].start 21277.73534375
transcript.pyannote[3735].end 21278.91659375
transcript.pyannote[3736].speaker SPEAKER_21
transcript.pyannote[3736].start 21279.28784375
transcript.pyannote[3736].end 21280.50284375
transcript.pyannote[3737].speaker SPEAKER_26
transcript.pyannote[3737].start 21280.14846875
transcript.pyannote[3737].end 21281.41409375
transcript.pyannote[3738].speaker SPEAKER_21
transcript.pyannote[3738].start 21281.32971875
transcript.pyannote[3738].end 21292.04534375
transcript.pyannote[3739].speaker SPEAKER_26
transcript.pyannote[3739].start 21289.17659375
transcript.pyannote[3739].end 21299.77409375
transcript.pyannote[3740].speaker SPEAKER_26
transcript.pyannote[3740].start 21301.37721875
transcript.pyannote[3740].end 21302.27159375
transcript.pyannote[3741].speaker SPEAKER_21
transcript.pyannote[3741].start 21302.89596875
transcript.pyannote[3741].end 21304.11096875
transcript.pyannote[3742].speaker SPEAKER_26
transcript.pyannote[3742].start 21303.50346875
transcript.pyannote[3742].end 21305.19096875
transcript.pyannote[3743].speaker SPEAKER_21
transcript.pyannote[3743].start 21304.73534375
transcript.pyannote[3743].end 21315.02909375
transcript.pyannote[3744].speaker SPEAKER_26
transcript.pyannote[3744].start 21314.86034375
transcript.pyannote[3744].end 21325.50846875
transcript.pyannote[3745].speaker SPEAKER_26
transcript.pyannote[3745].start 21326.40284375
transcript.pyannote[3745].end 21327.98909375
transcript.pyannote[3746].speaker SPEAKER_26
transcript.pyannote[3746].start 21328.56284375
transcript.pyannote[3746].end 21340.59471875
transcript.pyannote[3747].speaker SPEAKER_21
transcript.pyannote[3747].start 21340.67909375
transcript.pyannote[3747].end 21346.88909375
transcript.pyannote[3748].speaker SPEAKER_26
transcript.pyannote[3748].start 21346.70346875
transcript.pyannote[3748].end 21348.23909375
transcript.pyannote[3749].speaker SPEAKER_21
transcript.pyannote[3749].start 21348.23909375
transcript.pyannote[3749].end 21352.64346875
transcript.pyannote[3750].speaker SPEAKER_26
transcript.pyannote[3750].start 21349.15034375
transcript.pyannote[3750].end 21349.57221875
transcript.pyannote[3751].speaker SPEAKER_26
transcript.pyannote[3751].start 21349.67346875
transcript.pyannote[3751].end 21350.70284375
transcript.pyannote[3752].speaker SPEAKER_26
transcript.pyannote[3752].start 21351.95159375
transcript.pyannote[3752].end 21352.84596875
transcript.pyannote[3753].speaker SPEAKER_00
transcript.pyannote[3753].start 21352.84596875
transcript.pyannote[3753].end 21352.86284375
transcript.pyannote[3754].speaker SPEAKER_21
transcript.pyannote[3754].start 21353.48721875
transcript.pyannote[3754].end 21369.68721875
transcript.pyannote[3755].speaker SPEAKER_26
transcript.pyannote[3755].start 21368.67471875
transcript.pyannote[3755].end 21383.03534375
transcript.pyannote[3756].speaker SPEAKER_26
transcript.pyannote[3756].start 21384.48659375
transcript.pyannote[3756].end 21385.29659375
transcript.pyannote[3757].speaker SPEAKER_26
transcript.pyannote[3757].start 21385.71846875
transcript.pyannote[3757].end 21386.46096875
transcript.pyannote[3758].speaker SPEAKER_26
transcript.pyannote[3758].start 21387.49034375
transcript.pyannote[3758].end 21388.89096875
transcript.pyannote[3759].speaker SPEAKER_38
transcript.pyannote[3759].start 21390.37596875
transcript.pyannote[3759].end 21390.42659375
transcript.pyannote[3760].speaker SPEAKER_26
transcript.pyannote[3760].start 21390.42659375
transcript.pyannote[3760].end 21393.37971875
transcript.pyannote[3761].speaker SPEAKER_26
transcript.pyannote[3761].start 21394.10534375
transcript.pyannote[3761].end 21409.02284375
transcript.pyannote[3762].speaker SPEAKER_26
transcript.pyannote[3762].start 21409.07346875
transcript.pyannote[3762].end 21409.95096875
transcript.pyannote[3763].speaker SPEAKER_26
transcript.pyannote[3763].start 21410.64284375
transcript.pyannote[3763].end 21411.72284375
transcript.pyannote[3764].speaker SPEAKER_26
transcript.pyannote[3764].start 21413.78159375
transcript.pyannote[3764].end 21420.56534375
transcript.pyannote[3765].speaker SPEAKER_26
transcript.pyannote[3765].start 21421.02096875
transcript.pyannote[3765].end 21423.77159375
transcript.pyannote[3766].speaker SPEAKER_26
transcript.pyannote[3766].start 21423.92346875
transcript.pyannote[3766].end 21425.13846875
transcript.pyannote[3767].speaker SPEAKER_26
transcript.pyannote[3767].start 21425.50971875
transcript.pyannote[3767].end 21426.91034375
transcript.pyannote[3768].speaker SPEAKER_26
transcript.pyannote[3768].start 21427.01159375
transcript.pyannote[3768].end 21427.02846875
transcript.pyannote[3769].speaker SPEAKER_26
transcript.pyannote[3769].start 21427.04534375
transcript.pyannote[3769].end 21429.18846875
transcript.pyannote[3770].speaker SPEAKER_26
transcript.pyannote[3770].start 21429.30659375
transcript.pyannote[3770].end 21432.09096875
transcript.pyannote[3771].speaker SPEAKER_26
transcript.pyannote[3771].start 21432.58034375
transcript.pyannote[3771].end 21435.19596875
transcript.pyannote[3772].speaker SPEAKER_26
transcript.pyannote[3772].start 21435.46596875
transcript.pyannote[3772].end 21435.83721875
transcript.pyannote[3773].speaker SPEAKER_26
transcript.pyannote[3773].start 21436.95096875
transcript.pyannote[3773].end 21438.23346875
transcript.pyannote[3774].speaker SPEAKER_26
transcript.pyannote[3774].start 21439.33034375
transcript.pyannote[3774].end 21440.62971875
transcript.pyannote[3775].speaker SPEAKER_26
transcript.pyannote[3775].start 21441.76034375
transcript.pyannote[3775].end 21442.65471875
transcript.pyannote[3776].speaker SPEAKER_26
transcript.pyannote[3776].start 21443.02596875
transcript.pyannote[3776].end 21443.73471875
transcript.pyannote[3777].speaker SPEAKER_26
transcript.pyannote[3777].start 21444.61221875
transcript.pyannote[3777].end 21446.40096875
transcript.pyannote[3778].speaker SPEAKER_26
transcript.pyannote[3778].start 21446.65409375
transcript.pyannote[3778].end 21447.54846875
transcript.pyannote[3779].speaker SPEAKER_26
transcript.pyannote[3779].start 21448.37534375
transcript.pyannote[3779].end 21449.40471875
transcript.pyannote[3780].speaker SPEAKER_26
transcript.pyannote[3780].start 21450.31596875
transcript.pyannote[3780].end 21451.05846875
transcript.pyannote[3781].speaker SPEAKER_26
transcript.pyannote[3781].start 21451.64909375
transcript.pyannote[3781].end 21452.98221875
transcript.pyannote[3782].speaker SPEAKER_26
transcript.pyannote[3782].start 21453.43784375
transcript.pyannote[3782].end 21454.12971875
transcript.pyannote[3783].speaker SPEAKER_21
transcript.pyannote[3783].start 21455.15909375
transcript.pyannote[3783].end 21456.76221875
transcript.pyannote[3784].speaker SPEAKER_26
transcript.pyannote[3784].start 21456.57659375
transcript.pyannote[3784].end 21456.74534375
transcript.pyannote[3785].speaker SPEAKER_26
transcript.pyannote[3785].start 21456.76221875
transcript.pyannote[3785].end 21456.84659375
transcript.pyannote[3786].speaker SPEAKER_21
transcript.pyannote[3786].start 21456.84659375
transcript.pyannote[3786].end 21465.97596875
transcript.pyannote[3787].speaker SPEAKER_26
transcript.pyannote[3787].start 21456.86346875
transcript.pyannote[3787].end 21456.93096875
transcript.pyannote[3788].speaker SPEAKER_38
transcript.pyannote[3788].start 21456.93096875
transcript.pyannote[3788].end 21457.18409375
transcript.pyannote[3789].speaker SPEAKER_26
transcript.pyannote[3789].start 21457.18409375
transcript.pyannote[3789].end 21457.33596875
transcript.pyannote[3790].speaker SPEAKER_21
transcript.pyannote[3790].start 21466.11096875
transcript.pyannote[3790].end 21472.57409375
transcript.pyannote[3791].speaker SPEAKER_21
transcript.pyannote[3791].start 21472.91159375
transcript.pyannote[3791].end 21475.66221875
transcript.pyannote[3792].speaker SPEAKER_26
transcript.pyannote[3792].start 21476.25284375
transcript.pyannote[3792].end 21477.33284375
transcript.pyannote[3793].speaker SPEAKER_26
transcript.pyannote[3793].start 21477.88971875
transcript.pyannote[3793].end 21481.34909375
transcript.pyannote[3794].speaker SPEAKER_38
transcript.pyannote[3794].start 21481.34909375
transcript.pyannote[3794].end 21481.38284375
transcript.pyannote[3795].speaker SPEAKER_26
transcript.pyannote[3795].start 21481.38284375
transcript.pyannote[3795].end 21481.87221875
transcript.pyannote[3796].speaker SPEAKER_26
transcript.pyannote[3796].start 21482.59784375
transcript.pyannote[3796].end 21485.98971875
transcript.pyannote[3797].speaker SPEAKER_38
transcript.pyannote[3797].start 21485.98971875
transcript.pyannote[3797].end 21486.19221875
transcript.pyannote[3798].speaker SPEAKER_26
transcript.pyannote[3798].start 21486.19221875
transcript.pyannote[3798].end 21489.87096875
transcript.pyannote[3799].speaker SPEAKER_26
transcript.pyannote[3799].start 21489.97221875
transcript.pyannote[3799].end 21490.44471875
transcript.pyannote[3800].speaker SPEAKER_26
transcript.pyannote[3800].start 21491.01846875
transcript.pyannote[3800].end 21491.20409375
transcript.pyannote[3801].speaker SPEAKER_26
transcript.pyannote[3801].start 21491.64284375
transcript.pyannote[3801].end 21492.52034375
transcript.pyannote[3802].speaker SPEAKER_26
transcript.pyannote[3802].start 21493.06034375
transcript.pyannote[3802].end 21498.03846875
transcript.pyannote[3803].speaker SPEAKER_26
transcript.pyannote[3803].start 21498.52784375
transcript.pyannote[3803].end 21502.34159375
transcript.pyannote[3804].speaker SPEAKER_26
transcript.pyannote[3804].start 21502.83096875
transcript.pyannote[3804].end 21510.40784375
transcript.pyannote[3805].speaker SPEAKER_26
transcript.pyannote[3805].start 21510.91409375
transcript.pyannote[3805].end 21521.05596875
transcript.pyannote[3806].speaker SPEAKER_26
transcript.pyannote[3806].start 21521.96721875
transcript.pyannote[3806].end 21537.32346875
transcript.pyannote[3807].speaker SPEAKER_26
transcript.pyannote[3807].start 21537.54284375
transcript.pyannote[3807].end 21538.69034375
transcript.pyannote[3808].speaker SPEAKER_26
transcript.pyannote[3808].start 21538.97721875
transcript.pyannote[3808].end 21542.87534375
transcript.pyannote[3809].speaker SPEAKER_26
transcript.pyannote[3809].start 21543.22971875
transcript.pyannote[3809].end 21546.99284375
transcript.pyannote[3810].speaker SPEAKER_26
transcript.pyannote[3810].start 21547.54971875
transcript.pyannote[3810].end 21585.53534375
transcript.pyannote[3811].speaker SPEAKER_26
transcript.pyannote[3811].start 21586.27784375
transcript.pyannote[3811].end 21586.59846875
transcript.pyannote[3812].speaker SPEAKER_26
transcript.pyannote[3812].start 21586.86846875
transcript.pyannote[3812].end 21597.87096875
transcript.pyannote[3813].speaker SPEAKER_26
transcript.pyannote[3813].start 21598.64721875
transcript.pyannote[3813].end 21603.60846875
transcript.pyannote[3814].speaker SPEAKER_26
transcript.pyannote[3814].start 21604.13159375
transcript.pyannote[3814].end 21606.32534375
transcript.pyannote[3815].speaker SPEAKER_26
transcript.pyannote[3815].start 21606.86534375
transcript.pyannote[3815].end 21607.35471875
transcript.pyannote[3816].speaker SPEAKER_26
transcript.pyannote[3816].start 21607.45596875
transcript.pyannote[3816].end 21608.24909375
transcript.pyannote[3817].speaker SPEAKER_29
transcript.pyannote[3817].start 21609.07596875
transcript.pyannote[3817].end 21609.53159375
transcript.pyannote[3818].speaker SPEAKER_29
transcript.pyannote[3818].start 21610.17284375
transcript.pyannote[3818].end 21611.59034375
transcript.pyannote[3819].speaker SPEAKER_29
transcript.pyannote[3819].start 21611.97846875
transcript.pyannote[3819].end 21617.69909375
transcript.pyannote[3820].speaker SPEAKER_29
transcript.pyannote[3820].start 21618.07034375
transcript.pyannote[3820].end 21620.95596875
transcript.pyannote[3821].speaker SPEAKER_29
transcript.pyannote[3821].start 21621.49596875
transcript.pyannote[3821].end 21622.49159375
transcript.pyannote[3822].speaker SPEAKER_26
transcript.pyannote[3822].start 21622.49159375
transcript.pyannote[3822].end 21622.94721875
transcript.pyannote[3823].speaker SPEAKER_26
transcript.pyannote[3823].start 21623.40284375
transcript.pyannote[3823].end 21625.91721875
transcript.pyannote[3824].speaker SPEAKER_26
transcript.pyannote[3824].start 21625.96784375
transcript.pyannote[3824].end 21630.03471875
transcript.pyannote[3825].speaker SPEAKER_29
transcript.pyannote[3825].start 21630.25409375
transcript.pyannote[3825].end 21633.66284375
transcript.pyannote[3826].speaker SPEAKER_26
transcript.pyannote[3826].start 21630.33846875
transcript.pyannote[3826].end 21632.12721875
transcript.pyannote[3827].speaker SPEAKER_26
transcript.pyannote[3827].start 21633.66284375
transcript.pyannote[3827].end 21644.09159375
transcript.pyannote[3828].speaker SPEAKER_29
transcript.pyannote[3828].start 21635.89034375
transcript.pyannote[3828].end 21636.14346875
transcript.pyannote[3829].speaker SPEAKER_29
transcript.pyannote[3829].start 21638.01659375
transcript.pyannote[3829].end 21639.06284375
transcript.pyannote[3830].speaker SPEAKER_29
transcript.pyannote[3830].start 21639.18096875
transcript.pyannote[3830].end 21640.49721875
transcript.pyannote[3831].speaker SPEAKER_26
transcript.pyannote[3831].start 21644.41221875
transcript.pyannote[3831].end 21645.76221875
transcript.pyannote[3832].speaker SPEAKER_26
transcript.pyannote[3832].start 21646.11659375
transcript.pyannote[3832].end 21646.79159375
transcript.pyannote[3833].speaker SPEAKER_26
transcript.pyannote[3833].start 21647.09534375
transcript.pyannote[3833].end 21648.32721875
transcript.pyannote[3834].speaker SPEAKER_26
transcript.pyannote[3834].start 21648.83346875
transcript.pyannote[3834].end 21650.11596875
transcript.pyannote[3835].speaker SPEAKER_26
transcript.pyannote[3835].start 21650.99346875
transcript.pyannote[3835].end 21653.44034375
transcript.pyannote[3836].speaker SPEAKER_26
transcript.pyannote[3836].start 21653.55846875
transcript.pyannote[3836].end 21654.01409375
transcript.pyannote[3837].speaker SPEAKER_26
transcript.pyannote[3837].start 21654.55409375
transcript.pyannote[3837].end 21659.61659375
transcript.pyannote[3838].speaker SPEAKER_26
transcript.pyannote[3838].start 21660.00471875
transcript.pyannote[3838].end 21660.96659375
transcript.pyannote[3839].speaker SPEAKER_26
transcript.pyannote[3839].start 21661.48971875
transcript.pyannote[3839].end 21663.05909375
transcript.pyannote[3840].speaker SPEAKER_26
transcript.pyannote[3840].start 21663.53159375
transcript.pyannote[3840].end 21665.06721875
transcript.pyannote[3841].speaker SPEAKER_26
transcript.pyannote[3841].start 21665.10096875
transcript.pyannote[3841].end 21668.34096875
transcript.pyannote[3842].speaker SPEAKER_26
transcript.pyannote[3842].start 21668.88096875
transcript.pyannote[3842].end 21671.76659375
transcript.pyannote[3843].speaker SPEAKER_26
transcript.pyannote[3843].start 21672.20534375
transcript.pyannote[3843].end 21674.51721875
transcript.pyannote[3844].speaker SPEAKER_26
transcript.pyannote[3844].start 21674.78721875
transcript.pyannote[3844].end 21680.57534375
transcript.pyannote[3845].speaker SPEAKER_26
transcript.pyannote[3845].start 21681.03096875
transcript.pyannote[3845].end 21681.68909375
transcript.pyannote[3846].speaker SPEAKER_26
transcript.pyannote[3846].start 21682.70159375
transcript.pyannote[3846].end 21683.32596875
transcript.pyannote[3847].speaker SPEAKER_26
transcript.pyannote[3847].start 21684.82784375
transcript.pyannote[3847].end 21693.95721875
transcript.pyannote[3848].speaker SPEAKER_28
transcript.pyannote[3848].start 21694.42971875
transcript.pyannote[3848].end 21695.84721875
transcript.pyannote[3849].speaker SPEAKER_28
transcript.pyannote[3849].start 21696.23534375
transcript.pyannote[3849].end 21705.90471875
transcript.pyannote[3850].speaker SPEAKER_26
transcript.pyannote[3850].start 21702.12471875
transcript.pyannote[3850].end 21702.59721875
transcript.pyannote[3851].speaker SPEAKER_26
transcript.pyannote[3851].start 21703.91346875
transcript.pyannote[3851].end 21704.90909375
transcript.pyannote[3852].speaker SPEAKER_26
transcript.pyannote[3852].start 21705.48284375
transcript.pyannote[3852].end 21709.26284375
transcript.pyannote[3853].speaker SPEAKER_28
transcript.pyannote[3853].start 21709.09409375
transcript.pyannote[3853].end 21709.56659375
transcript.pyannote[3854].speaker SPEAKER_26
transcript.pyannote[3854].start 21709.41471875
transcript.pyannote[3854].end 21714.94971875
transcript.pyannote[3855].speaker SPEAKER_28
transcript.pyannote[3855].start 21715.65846875
transcript.pyannote[3855].end 21726.23909375
transcript.pyannote[3856].speaker SPEAKER_26
transcript.pyannote[3856].start 21717.83534375
transcript.pyannote[3856].end 21719.87721875
transcript.pyannote[3857].speaker SPEAKER_26
transcript.pyannote[3857].start 21726.23909375
transcript.pyannote[3857].end 21727.15034375
transcript.pyannote[3858].speaker SPEAKER_28
transcript.pyannote[3858].start 21726.27284375
transcript.pyannote[3858].end 21728.29784375
transcript.pyannote[3859].speaker SPEAKER_26
transcript.pyannote[3859].start 21727.65659375
transcript.pyannote[3859].end 21729.00659375
transcript.pyannote[3860].speaker SPEAKER_26
transcript.pyannote[3860].start 21729.10784375
transcript.pyannote[3860].end 21729.42846875
transcript.pyannote[3861].speaker SPEAKER_26
transcript.pyannote[3861].start 21731.31846875
transcript.pyannote[3861].end 21733.30971875
transcript.pyannote[3862].speaker SPEAKER_26
transcript.pyannote[3862].start 21733.90034375
transcript.pyannote[3862].end 21734.25471875
transcript.pyannote[3863].speaker SPEAKER_26
transcript.pyannote[3863].start 21735.73971875
transcript.pyannote[3863].end 21736.81971875
transcript.pyannote[3864].speaker SPEAKER_28
transcript.pyannote[3864].start 21737.78159375
transcript.pyannote[3864].end 21740.07659375
transcript.pyannote[3865].speaker SPEAKER_28
transcript.pyannote[3865].start 21740.68409375
transcript.pyannote[3865].end 21749.84721875
transcript.pyannote[3866].speaker SPEAKER_26
transcript.pyannote[3866].start 21743.87346875
transcript.pyannote[3866].end 21745.96596875
transcript.pyannote[3867].speaker SPEAKER_26
transcript.pyannote[3867].start 21747.99096875
transcript.pyannote[3867].end 21749.37471875
transcript.pyannote[3868].speaker SPEAKER_28
transcript.pyannote[3868].start 21750.20159375
transcript.pyannote[3868].end 21752.58096875
transcript.pyannote[3869].speaker SPEAKER_26
transcript.pyannote[3869].start 21752.22659375
transcript.pyannote[3869].end 21755.41596875
transcript.pyannote[3870].speaker SPEAKER_26
transcript.pyannote[3870].start 21756.44534375
transcript.pyannote[3870].end 21757.27221875
transcript.pyannote[3871].speaker SPEAKER_26
transcript.pyannote[3871].start 21760.54596875
transcript.pyannote[3871].end 21763.38096875
transcript.pyannote[3872].speaker SPEAKER_07
transcript.pyannote[3872].start 21763.38096875
transcript.pyannote[3872].end 21763.39784375
transcript.pyannote[3873].speaker SPEAKER_29
transcript.pyannote[3873].start 21763.39784375
transcript.pyannote[3873].end 21765.35534375
transcript.pyannote[3874].speaker SPEAKER_07
transcript.pyannote[3874].start 21765.20346875
transcript.pyannote[3874].end 21765.22034375
transcript.pyannote[3875].speaker SPEAKER_08
transcript.pyannote[3875].start 21765.22034375
transcript.pyannote[3875].end 21767.73471875
transcript.pyannote[3876].speaker SPEAKER_07
transcript.pyannote[3876].start 21767.73471875
transcript.pyannote[3876].end 21767.78534375
transcript.pyannote[3877].speaker SPEAKER_08
transcript.pyannote[3877].start 21767.78534375
transcript.pyannote[3877].end 21767.81909375
transcript.pyannote[3878].speaker SPEAKER_07
transcript.pyannote[3878].start 21767.92034375
transcript.pyannote[3878].end 21767.95409375
transcript.pyannote[3879].speaker SPEAKER_08
transcript.pyannote[3879].start 21767.95409375
transcript.pyannote[3879].end 21768.94971875
transcript.pyannote[3880].speaker SPEAKER_08
transcript.pyannote[3880].start 21770.35034375
transcript.pyannote[3880].end 21772.56096875
transcript.pyannote[3881].speaker SPEAKER_08
transcript.pyannote[3881].start 21774.97409375
transcript.pyannote[3881].end 21777.48846875
transcript.pyannote[3882].speaker SPEAKER_38
transcript.pyannote[3882].start 21783.00659375
transcript.pyannote[3882].end 21783.24284375
transcript.pyannote[3883].speaker SPEAKER_21
transcript.pyannote[3883].start 21785.95971875
transcript.pyannote[3883].end 21788.77784375
transcript.pyannote[3884].speaker SPEAKER_38
transcript.pyannote[3884].start 21786.02721875
transcript.pyannote[3884].end 21786.34784375
transcript.pyannote[3885].speaker SPEAKER_38
transcript.pyannote[3885].start 21788.77784375
transcript.pyannote[3885].end 21788.81159375
transcript.pyannote[3886].speaker SPEAKER_38
transcript.pyannote[3886].start 21788.92971875
transcript.pyannote[3886].end 21789.03096875
transcript.pyannote[3887].speaker SPEAKER_22
transcript.pyannote[3887].start 21794.39721875
transcript.pyannote[3887].end 21795.02159375
transcript.pyannote[3888].speaker SPEAKER_21
transcript.pyannote[3888].start 21795.13971875
transcript.pyannote[3888].end 21796.11846875
transcript.pyannote[3889].speaker SPEAKER_21
transcript.pyannote[3889].start 21796.62471875
transcript.pyannote[3889].end 21815.54159375
transcript.pyannote[3890].speaker SPEAKER_22
transcript.pyannote[3890].start 21800.82659375
transcript.pyannote[3890].end 21800.97846875
transcript.pyannote[3891].speaker SPEAKER_00
transcript.pyannote[3891].start 21800.97846875
transcript.pyannote[3891].end 21801.26534375
transcript.pyannote[3892].speaker SPEAKER_21
transcript.pyannote[3892].start 21815.98034375
transcript.pyannote[3892].end 21817.95471875
transcript.pyannote[3893].speaker SPEAKER_21
transcript.pyannote[3893].start 21818.61284375
transcript.pyannote[3893].end 21818.69721875
transcript.pyannote[3894].speaker SPEAKER_21
transcript.pyannote[3894].start 21819.22034375
transcript.pyannote[3894].end 21841.15784375
transcript.pyannote[3895].speaker SPEAKER_21
transcript.pyannote[3895].start 21841.46159375
transcript.pyannote[3895].end 21846.87846875
transcript.pyannote[3896].speaker SPEAKER_21
transcript.pyannote[3896].start 21847.38471875
transcript.pyannote[3896].end 21847.72221875
transcript.pyannote[3897].speaker SPEAKER_21
transcript.pyannote[3897].start 21848.07659375
transcript.pyannote[3897].end 21848.78534375
transcript.pyannote[3898].speaker SPEAKER_21
transcript.pyannote[3898].start 21849.35909375
transcript.pyannote[3898].end 21850.96221875
transcript.pyannote[3899].speaker SPEAKER_21
transcript.pyannote[3899].start 21851.45159375
transcript.pyannote[3899].end 21858.42096875
transcript.pyannote[3900].speaker SPEAKER_21
transcript.pyannote[3900].start 21858.79221875
transcript.pyannote[3900].end 21861.94784375
transcript.pyannote[3901].speaker SPEAKER_21
transcript.pyannote[3901].start 21862.62284375
transcript.pyannote[3901].end 21864.17534375
transcript.pyannote[3902].speaker SPEAKER_21
transcript.pyannote[3902].start 21864.71534375
transcript.pyannote[3902].end 21865.96409375
transcript.pyannote[3903].speaker SPEAKER_21
transcript.pyannote[3903].start 21866.16659375
transcript.pyannote[3903].end 21875.26221875
transcript.pyannote[3904].speaker SPEAKER_21
transcript.pyannote[3904].start 21875.48159375
transcript.pyannote[3904].end 21883.95284375
transcript.pyannote[3905].speaker SPEAKER_21
transcript.pyannote[3905].start 21886.01159375
transcript.pyannote[3905].end 21888.01971875
transcript.pyannote[3906].speaker SPEAKER_29
transcript.pyannote[3906].start 21889.08284375
transcript.pyannote[3906].end 21893.74034375
transcript.pyannote[3907].speaker SPEAKER_21
transcript.pyannote[3907].start 21892.98096875
transcript.pyannote[3907].end 21895.86659375
transcript.pyannote[3908].speaker SPEAKER_29
transcript.pyannote[3908].start 21894.90471875
transcript.pyannote[3908].end 21895.56284375
transcript.pyannote[3909].speaker SPEAKER_21
transcript.pyannote[3909].start 21896.15346875
transcript.pyannote[3909].end 21897.53721875
transcript.pyannote[3910].speaker SPEAKER_29
transcript.pyannote[3910].start 21896.91284375
transcript.pyannote[3910].end 21898.73534375
transcript.pyannote[3911].speaker SPEAKER_29
transcript.pyannote[3911].start 21898.98846875
transcript.pyannote[3911].end 21901.55346875
transcript.pyannote[3912].speaker SPEAKER_29
transcript.pyannote[3912].start 21901.92471875
transcript.pyannote[3912].end 21904.25346875
transcript.pyannote[3913].speaker SPEAKER_29
transcript.pyannote[3913].start 21904.77659375
transcript.pyannote[3913].end 21905.78909375
transcript.pyannote[3914].speaker SPEAKER_29
transcript.pyannote[3914].start 21906.04221875
transcript.pyannote[3914].end 21908.79284375
transcript.pyannote[3915].speaker SPEAKER_21
transcript.pyannote[3915].start 21907.89846875
transcript.pyannote[3915].end 21911.91471875
transcript.pyannote[3916].speaker SPEAKER_21
transcript.pyannote[3916].start 21912.42096875
transcript.pyannote[3916].end 21918.05721875
transcript.pyannote[3917].speaker SPEAKER_21
transcript.pyannote[3917].start 21918.24284375
transcript.pyannote[3917].end 21921.85409375
transcript.pyannote[3918].speaker SPEAKER_21
transcript.pyannote[3918].start 21922.20846875
transcript.pyannote[3918].end 21929.51534375
transcript.pyannote[3919].speaker SPEAKER_21
transcript.pyannote[3919].start 21929.56596875
transcript.pyannote[3919].end 21932.62034375
transcript.pyannote[3920].speaker SPEAKER_38
transcript.pyannote[3920].start 21934.15596875
transcript.pyannote[3920].end 21935.38784375
transcript.pyannote[3921].speaker SPEAKER_29
transcript.pyannote[3921].start 21935.38784375
transcript.pyannote[3921].end 21935.42159375
transcript.pyannote[3922].speaker SPEAKER_29
transcript.pyannote[3922].start 21936.67034375
transcript.pyannote[3922].end 21936.87284375
transcript.pyannote[3923].speaker SPEAKER_21
transcript.pyannote[3923].start 21936.92346875
transcript.pyannote[3923].end 21939.89346875
transcript.pyannote[3924].speaker SPEAKER_38
transcript.pyannote[3924].start 21937.63221875
transcript.pyannote[3924].end 21937.68284375
transcript.pyannote[3925].speaker SPEAKER_29
transcript.pyannote[3925].start 21937.68284375
transcript.pyannote[3925].end 21938.22284375
transcript.pyannote[3926].speaker SPEAKER_29
transcript.pyannote[3926].start 21939.47159375
transcript.pyannote[3926].end 21941.24346875
transcript.pyannote[3927].speaker SPEAKER_21
transcript.pyannote[3927].start 21940.85534375
transcript.pyannote[3927].end 21942.82971875
transcript.pyannote[3928].speaker SPEAKER_29
transcript.pyannote[3928].start 21942.45846875
transcript.pyannote[3928].end 21943.35284375
transcript.pyannote[3929].speaker SPEAKER_29
transcript.pyannote[3929].start 21943.85909375
transcript.pyannote[3929].end 21946.52534375
transcript.pyannote[3930].speaker SPEAKER_21
transcript.pyannote[3930].start 21943.89284375
transcript.pyannote[3930].end 21949.68096875
transcript.pyannote[3931].speaker SPEAKER_29
transcript.pyannote[3931].start 21949.68096875
transcript.pyannote[3931].end 21949.78221875
transcript.pyannote[3932].speaker SPEAKER_29
transcript.pyannote[3932].start 21949.91721875
transcript.pyannote[3932].end 21950.25471875
transcript.pyannote[3933].speaker SPEAKER_29
transcript.pyannote[3933].start 21951.09846875
transcript.pyannote[3933].end 21952.68471875
transcript.pyannote[3934].speaker SPEAKER_02
transcript.pyannote[3934].start 21953.39346875
transcript.pyannote[3934].end 21966.10034375
transcript.pyannote[3935].speaker SPEAKER_21
transcript.pyannote[3935].start 21966.03284375
transcript.pyannote[3935].end 21967.34909375
transcript.pyannote[3936].speaker SPEAKER_21
transcript.pyannote[3936].start 21967.72034375
transcript.pyannote[3936].end 21969.03659375
transcript.pyannote[3937].speaker SPEAKER_21
transcript.pyannote[3937].start 21969.27284375
transcript.pyannote[3937].end 21972.69846875
transcript.pyannote[3938].speaker SPEAKER_21
transcript.pyannote[3938].start 21973.01909375
transcript.pyannote[3938].end 21973.86284375
transcript.pyannote[3939].speaker SPEAKER_21
transcript.pyannote[3939].start 21974.16659375
transcript.pyannote[3939].end 21975.06096875
transcript.pyannote[3940].speaker SPEAKER_29
transcript.pyannote[3940].start 21975.33096875
transcript.pyannote[3940].end 21975.61784375
transcript.pyannote[3941].speaker SPEAKER_21
transcript.pyannote[3941].start 21976.39409375
transcript.pyannote[3941].end 21980.91659375
transcript.pyannote[3942].speaker SPEAKER_21
transcript.pyannote[3942].start 21981.64221875
transcript.pyannote[3942].end 21982.97534375
transcript.pyannote[3943].speaker SPEAKER_21
transcript.pyannote[3943].start 21983.41409375
transcript.pyannote[3943].end 21983.76846875
transcript.pyannote[3944].speaker SPEAKER_29
transcript.pyannote[3944].start 21983.48159375
transcript.pyannote[3944].end 21985.40534375
transcript.pyannote[3945].speaker SPEAKER_21
transcript.pyannote[3945].start 21985.60784375
transcript.pyannote[3945].end 21988.45971875
transcript.pyannote[3946].speaker SPEAKER_21
transcript.pyannote[3946].start 21989.11784375
transcript.pyannote[3946].end 21995.37846875
transcript.pyannote[3947].speaker SPEAKER_21
transcript.pyannote[3947].start 21995.76659375
transcript.pyannote[3947].end 21998.55096875
transcript.pyannote[3948].speaker SPEAKER_21
transcript.pyannote[3948].start 21999.39471875
transcript.pyannote[3948].end 21999.78284375
transcript.pyannote[3949].speaker SPEAKER_21
transcript.pyannote[3949].start 22000.39034375
transcript.pyannote[3949].end 22000.93034375
transcript.pyannote[3950].speaker SPEAKER_21
transcript.pyannote[3950].start 22002.17909375
transcript.pyannote[3950].end 22010.31284375
transcript.pyannote[3951].speaker SPEAKER_21
transcript.pyannote[3951].start 22011.32534375
transcript.pyannote[3951].end 22013.51909375
transcript.pyannote[3952].speaker SPEAKER_21
transcript.pyannote[3952].start 22013.95784375
transcript.pyannote[3952].end 22022.32784375
transcript.pyannote[3953].speaker SPEAKER_29
transcript.pyannote[3953].start 22023.79596875
transcript.pyannote[3953].end 22026.05721875
transcript.pyannote[3954].speaker SPEAKER_21
transcript.pyannote[3954].start 22025.93909375
transcript.pyannote[3954].end 22027.81221875
transcript.pyannote[3955].speaker SPEAKER_21
transcript.pyannote[3955].start 22028.18346875
transcript.pyannote[3955].end 22028.85846875
transcript.pyannote[3956].speaker SPEAKER_21
transcript.pyannote[3956].start 22029.28034375
transcript.pyannote[3956].end 22030.63034375
transcript.pyannote[3957].speaker SPEAKER_21
transcript.pyannote[3957].start 22031.01846875
transcript.pyannote[3957].end 22058.57534375
transcript.pyannote[3958].speaker SPEAKER_38
transcript.pyannote[3958].start 22059.87471875
transcript.pyannote[3958].end 22059.89159375
transcript.pyannote[3959].speaker SPEAKER_02
transcript.pyannote[3959].start 22059.89159375
transcript.pyannote[3959].end 22060.21221875
transcript.pyannote[3960].speaker SPEAKER_21
transcript.pyannote[3960].start 22060.90409375
transcript.pyannote[3960].end 22062.08534375
transcript.pyannote[3961].speaker SPEAKER_02
transcript.pyannote[3961].start 22063.35096875
transcript.pyannote[3961].end 22065.34221875
transcript.pyannote[3962].speaker SPEAKER_21
transcript.pyannote[3962].start 22065.34221875
transcript.pyannote[3962].end 22066.08471875
transcript.pyannote[3963].speaker SPEAKER_21
transcript.pyannote[3963].start 22066.28721875
transcript.pyannote[3963].end 22069.24034375
transcript.pyannote[3964].speaker SPEAKER_21
transcript.pyannote[3964].start 22070.20221875
transcript.pyannote[3964].end 22090.04721875
transcript.pyannote[3965].speaker SPEAKER_29
transcript.pyannote[3965].start 22090.82346875
transcript.pyannote[3965].end 22091.85284375
transcript.pyannote[3966].speaker SPEAKER_21
transcript.pyannote[3966].start 22092.32534375
transcript.pyannote[3966].end 22092.78096875
transcript.pyannote[3967].speaker SPEAKER_21
transcript.pyannote[3967].start 22093.10159375
transcript.pyannote[3967].end 22093.86096875
transcript.pyannote[3968].speaker SPEAKER_21
transcript.pyannote[3968].start 22094.11409375
transcript.pyannote[3968].end 22097.43846875
transcript.pyannote[3969].speaker SPEAKER_21
transcript.pyannote[3969].start 22097.74221875
transcript.pyannote[3969].end 22100.39159375
transcript.pyannote[3970].speaker SPEAKER_21
transcript.pyannote[3970].start 22101.13409375
transcript.pyannote[3970].end 22107.61409375
transcript.pyannote[3971].speaker SPEAKER_21
transcript.pyannote[3971].start 22107.96846875
transcript.pyannote[3971].end 22113.52034375
transcript.pyannote[3972].speaker SPEAKER_21
transcript.pyannote[3972].start 22113.89159375
transcript.pyannote[3972].end 22116.32159375
transcript.pyannote[3973].speaker SPEAKER_21
transcript.pyannote[3973].start 22116.65909375
transcript.pyannote[3973].end 22118.49846875
transcript.pyannote[3974].speaker SPEAKER_21
transcript.pyannote[3974].start 22119.30846875
transcript.pyannote[3974].end 22120.01721875
transcript.pyannote[3975].speaker SPEAKER_21
transcript.pyannote[3975].start 22120.84409375
transcript.pyannote[3975].end 22121.53596875
transcript.pyannote[3976].speaker SPEAKER_21
transcript.pyannote[3976].start 22122.26159375
transcript.pyannote[3976].end 22123.15596875
transcript.pyannote[3977].speaker SPEAKER_21
transcript.pyannote[3977].start 22123.69596875
transcript.pyannote[3977].end 22124.72534375
transcript.pyannote[3978].speaker SPEAKER_21
transcript.pyannote[3978].start 22125.75471875
transcript.pyannote[3978].end 22129.23096875
transcript.pyannote[3979].speaker SPEAKER_21
transcript.pyannote[3979].start 22130.32784375
transcript.pyannote[3979].end 22132.53846875
transcript.pyannote[3980].speaker SPEAKER_21
transcript.pyannote[3980].start 22132.87596875
transcript.pyannote[3980].end 22135.94721875
transcript.pyannote[3981].speaker SPEAKER_21
transcript.pyannote[3981].start 22136.72346875
transcript.pyannote[3981].end 22139.47409375
transcript.pyannote[3982].speaker SPEAKER_21
transcript.pyannote[3982].start 22139.96346875
transcript.pyannote[3982].end 22143.60846875
transcript.pyannote[3983].speaker SPEAKER_21
transcript.pyannote[3983].start 22144.30034375
transcript.pyannote[3983].end 22151.06721875
transcript.pyannote[3984].speaker SPEAKER_21
transcript.pyannote[3984].start 22151.50596875
transcript.pyannote[3984].end 22154.88096875
transcript.pyannote[3985].speaker SPEAKER_21
transcript.pyannote[3985].start 22155.10034375
transcript.pyannote[3985].end 22181.29034375
transcript.pyannote[3986].speaker SPEAKER_21
transcript.pyannote[3986].start 22181.69534375
transcript.pyannote[3986].end 22184.02409375
transcript.pyannote[3987].speaker SPEAKER_21
transcript.pyannote[3987].start 22184.37846875
transcript.pyannote[3987].end 22186.80846875
transcript.pyannote[3988].speaker SPEAKER_21
transcript.pyannote[3988].start 22186.96034375
transcript.pyannote[3988].end 22188.32721875
transcript.pyannote[3989].speaker SPEAKER_21
transcript.pyannote[3989].start 22188.59721875
transcript.pyannote[3989].end 22190.48721875
transcript.pyannote[3990].speaker SPEAKER_21
transcript.pyannote[3990].start 22191.04409375
transcript.pyannote[3990].end 22193.40659375
transcript.pyannote[3991].speaker SPEAKER_21
transcript.pyannote[3991].start 22194.63846875
transcript.pyannote[3991].end 22198.94159375
transcript.pyannote[3992].speaker SPEAKER_21
transcript.pyannote[3992].start 22199.44784375
transcript.pyannote[3992].end 22212.07034375
transcript.pyannote[3993].speaker SPEAKER_21
transcript.pyannote[3993].start 22212.27284375
transcript.pyannote[3993].end 22240.77471875
transcript.pyannote[3994].speaker SPEAKER_21
transcript.pyannote[3994].start 22241.23034375
transcript.pyannote[3994].end 22248.06471875
transcript.pyannote[3995].speaker SPEAKER_21
transcript.pyannote[3995].start 22248.50346875
transcript.pyannote[3995].end 22249.04346875
transcript.pyannote[3996].speaker SPEAKER_21
transcript.pyannote[3996].start 22249.92096875
transcript.pyannote[3996].end 22250.25846875
transcript.pyannote[3997].speaker SPEAKER_21
transcript.pyannote[3997].start 22251.06846875
transcript.pyannote[3997].end 22252.97534375
transcript.pyannote[3998].speaker SPEAKER_21
transcript.pyannote[3998].start 22254.20721875
transcript.pyannote[3998].end 22255.60784375
transcript.pyannote[3999].speaker SPEAKER_21
transcript.pyannote[3999].start 22256.04659375
transcript.pyannote[3999].end 22273.05659375
transcript.pyannote[4000].speaker SPEAKER_21
transcript.pyannote[4000].start 22273.91721875
transcript.pyannote[4000].end 22289.39159375
transcript.pyannote[4001].speaker SPEAKER_21
transcript.pyannote[4001].start 22289.99909375
transcript.pyannote[4001].end 22290.62346875
transcript.pyannote[4002].speaker SPEAKER_21
transcript.pyannote[4002].start 22291.24784375
transcript.pyannote[4002].end 22291.97346875
transcript.pyannote[4003].speaker SPEAKER_21
transcript.pyannote[4003].start 22292.96909375
transcript.pyannote[4003].end 22294.13346875
transcript.pyannote[4004].speaker SPEAKER_21
transcript.pyannote[4004].start 22295.29784375
transcript.pyannote[4004].end 22295.83784375
transcript.pyannote[4005].speaker SPEAKER_21
transcript.pyannote[4005].start 22296.83346875
transcript.pyannote[4005].end 22297.50846875
transcript.pyannote[4006].speaker SPEAKER_21
transcript.pyannote[4006].start 22297.84596875
transcript.pyannote[4006].end 22298.58846875
transcript.pyannote[4007].speaker SPEAKER_21
transcript.pyannote[4007].start 22299.06096875
transcript.pyannote[4007].end 22322.14596875
transcript.pyannote[4008].speaker SPEAKER_21
transcript.pyannote[4008].start 22322.63534375
transcript.pyannote[4008].end 22332.11909375
transcript.pyannote[4009].speaker SPEAKER_21
transcript.pyannote[4009].start 22332.30471875
transcript.pyannote[4009].end 22343.12159375
transcript.pyannote[4010].speaker SPEAKER_21
transcript.pyannote[4010].start 22343.44221875
transcript.pyannote[4010].end 22345.18034375
transcript.pyannote[4011].speaker SPEAKER_21
transcript.pyannote[4011].start 22346.02409375
transcript.pyannote[4011].end 22347.57659375
transcript.pyannote[4012].speaker SPEAKER_21
transcript.pyannote[4012].start 22348.13346875
transcript.pyannote[4012].end 22385.39346875
transcript.pyannote[4013].speaker SPEAKER_21
transcript.pyannote[4013].start 22385.57909375
transcript.pyannote[4013].end 22388.16096875
transcript.pyannote[4014].speaker SPEAKER_21
transcript.pyannote[4014].start 22389.07221875
transcript.pyannote[4014].end 22391.08034375
transcript.pyannote[4015].speaker SPEAKER_21
transcript.pyannote[4015].start 22392.49784375
transcript.pyannote[4015].end 22393.17284375
transcript.pyannote[4016].speaker SPEAKER_21
transcript.pyannote[4016].start 22393.56096875
transcript.pyannote[4016].end 22399.46721875
transcript.pyannote[4017].speaker SPEAKER_21
transcript.pyannote[4017].start 22399.56846875
transcript.pyannote[4017].end 22410.35159375
transcript.pyannote[4018].speaker SPEAKER_21
transcript.pyannote[4018].start 22410.48659375
transcript.pyannote[4018].end 22413.15284375
transcript.pyannote[4019].speaker SPEAKER_21
transcript.pyannote[4019].start 22414.35096875
transcript.pyannote[4019].end 22420.00409375
transcript.pyannote[4020].speaker SPEAKER_21
transcript.pyannote[4020].start 22420.89846875
transcript.pyannote[4020].end 22424.52659375
transcript.pyannote[4021].speaker SPEAKER_21
transcript.pyannote[4021].start 22425.18471875
transcript.pyannote[4021].end 22433.60534375
transcript.pyannote[4022].speaker SPEAKER_29
transcript.pyannote[4022].start 22434.31409375
transcript.pyannote[4022].end 22452.43784375
transcript.pyannote[4023].speaker SPEAKER_21
transcript.pyannote[4023].start 22452.35346875
transcript.pyannote[4023].end 22454.00721875
transcript.pyannote[4024].speaker SPEAKER_29
transcript.pyannote[4024].start 22452.99471875
transcript.pyannote[4024].end 22454.80034375
transcript.pyannote[4025].speaker SPEAKER_21
transcript.pyannote[4025].start 22454.47971875
transcript.pyannote[4025].end 22460.47034375
transcript.pyannote[4026].speaker SPEAKER_29
transcript.pyannote[4026].start 22457.87159375
transcript.pyannote[4026].end 22478.67846875
transcript.pyannote[4027].speaker SPEAKER_02
transcript.pyannote[4027].start 22480.36596875
transcript.pyannote[4027].end 22509.22221875
transcript.pyannote[4028].speaker SPEAKER_21
transcript.pyannote[4028].start 22510.33596875
transcript.pyannote[4028].end 22513.35659375
transcript.pyannote[4029].speaker SPEAKER_38
transcript.pyannote[4029].start 22513.62659375
transcript.pyannote[4029].end 22513.71096875
transcript.pyannote[4030].speaker SPEAKER_02
transcript.pyannote[4030].start 22513.71096875
transcript.pyannote[4030].end 22513.76159375
transcript.pyannote[4031].speaker SPEAKER_38
transcript.pyannote[4031].start 22513.76159375
transcript.pyannote[4031].end 22513.84596875
transcript.pyannote[4032].speaker SPEAKER_02
transcript.pyannote[4032].start 22513.84596875
transcript.pyannote[4032].end 22521.70971875
transcript.pyannote[4033].speaker SPEAKER_21
transcript.pyannote[4033].start 22513.99784375
transcript.pyannote[4033].end 22516.12409375
transcript.pyannote[4034].speaker SPEAKER_21
transcript.pyannote[4034].start 22520.27534375
transcript.pyannote[4034].end 22522.70534375
transcript.pyannote[4035].speaker SPEAKER_21
transcript.pyannote[4035].start 22523.48159375
transcript.pyannote[4035].end 22529.69159375
transcript.pyannote[4036].speaker SPEAKER_21
transcript.pyannote[4036].start 22529.82659375
transcript.pyannote[4036].end 22533.69096875
transcript.pyannote[4037].speaker SPEAKER_21
transcript.pyannote[4037].start 22533.82596875
transcript.pyannote[4037].end 22535.93534375
transcript.pyannote[4038].speaker SPEAKER_02
transcript.pyannote[4038].start 22535.19284375
transcript.pyannote[4038].end 22537.55534375
transcript.pyannote[4039].speaker SPEAKER_21
transcript.pyannote[4039].start 22537.50471875
transcript.pyannote[4039].end 22542.28034375
transcript.pyannote[4040].speaker SPEAKER_02
transcript.pyannote[4040].start 22539.96846875
transcript.pyannote[4040].end 22542.34784375
transcript.pyannote[4041].speaker SPEAKER_21
transcript.pyannote[4041].start 22542.83721875
transcript.pyannote[4041].end 22543.25909375
transcript.pyannote[4042].speaker SPEAKER_21
transcript.pyannote[4042].start 22543.30971875
transcript.pyannote[4042].end 22546.80284375
transcript.pyannote[4043].speaker SPEAKER_21
transcript.pyannote[4043].start 22547.08971875
transcript.pyannote[4043].end 22548.52409375
transcript.pyannote[4044].speaker SPEAKER_02
transcript.pyannote[4044].start 22548.16971875
transcript.pyannote[4044].end 22551.20721875
transcript.pyannote[4045].speaker SPEAKER_21
transcript.pyannote[4045].start 22551.64596875
transcript.pyannote[4045].end 22561.48409375
transcript.pyannote[4046].speaker SPEAKER_02
transcript.pyannote[4046].start 22556.25284375
transcript.pyannote[4046].end 22556.43846875
transcript.pyannote[4047].speaker SPEAKER_21
transcript.pyannote[4047].start 22561.93971875
transcript.pyannote[4047].end 22571.35596875
transcript.pyannote[4048].speaker SPEAKER_21
transcript.pyannote[4048].start 22571.52471875
transcript.pyannote[4048].end 22578.67971875
transcript.pyannote[4049].speaker SPEAKER_21
transcript.pyannote[4049].start 22579.54034375
transcript.pyannote[4049].end 22581.36284375
transcript.pyannote[4050].speaker SPEAKER_21
transcript.pyannote[4050].start 22582.02096875
transcript.pyannote[4050].end 22583.91096875
transcript.pyannote[4051].speaker SPEAKER_21
transcript.pyannote[4051].start 22584.53534375
transcript.pyannote[4051].end 22585.51409375
transcript.pyannote[4052].speaker SPEAKER_21
transcript.pyannote[4052].start 22586.77971875
transcript.pyannote[4052].end 22595.35221875
transcript.pyannote[4053].speaker SPEAKER_21
transcript.pyannote[4053].start 22595.77409375
transcript.pyannote[4053].end 22599.28409375
transcript.pyannote[4054].speaker SPEAKER_29
transcript.pyannote[4054].start 22601.68034375
transcript.pyannote[4054].end 22603.01346875
transcript.pyannote[4055].speaker SPEAKER_21
transcript.pyannote[4055].start 22603.35096875
transcript.pyannote[4055].end 22603.84034375
transcript.pyannote[4056].speaker SPEAKER_21
transcript.pyannote[4056].start 22605.00471875
transcript.pyannote[4056].end 22607.35034375
transcript.pyannote[4057].speaker SPEAKER_02
transcript.pyannote[4057].start 22606.82721875
transcript.pyannote[4057].end 22607.24909375
transcript.pyannote[4058].speaker SPEAKER_02
transcript.pyannote[4058].start 22607.35034375
transcript.pyannote[4058].end 22607.46846875
transcript.pyannote[4059].speaker SPEAKER_21
transcript.pyannote[4059].start 22607.46846875
transcript.pyannote[4059].end 22607.51909375
transcript.pyannote[4060].speaker SPEAKER_02
transcript.pyannote[4060].start 22607.51909375
transcript.pyannote[4060].end 22619.93909375
transcript.pyannote[4061].speaker SPEAKER_21
transcript.pyannote[4061].start 22619.93909375
transcript.pyannote[4061].end 22621.08659375
transcript.pyannote[4062].speaker SPEAKER_21
transcript.pyannote[4062].start 22621.33971875
transcript.pyannote[4062].end 22623.12846875
transcript.pyannote[4063].speaker SPEAKER_02
transcript.pyannote[4063].start 22623.07784375
transcript.pyannote[4063].end 22624.66409375
transcript.pyannote[4064].speaker SPEAKER_21
transcript.pyannote[4064].start 22624.95096875
transcript.pyannote[4064].end 22630.31721875
transcript.pyannote[4065].speaker SPEAKER_21
transcript.pyannote[4065].start 22630.62096875
transcript.pyannote[4065].end 22634.87346875
transcript.pyannote[4066].speaker SPEAKER_21
transcript.pyannote[4066].start 22635.39659375
transcript.pyannote[4066].end 22639.51409375
transcript.pyannote[4067].speaker SPEAKER_02
transcript.pyannote[4067].start 22641.79221875
transcript.pyannote[4067].end 22659.83159375
transcript.pyannote[4068].speaker SPEAKER_21
transcript.pyannote[4068].start 22661.06346875
transcript.pyannote[4068].end 22664.80971875
transcript.pyannote[4069].speaker SPEAKER_21
transcript.pyannote[4069].start 22664.99534375
transcript.pyannote[4069].end 22667.23971875
transcript.pyannote[4070].speaker SPEAKER_02
transcript.pyannote[4070].start 22666.17659375
transcript.pyannote[4070].end 22678.20846875
transcript.pyannote[4071].speaker SPEAKER_21
transcript.pyannote[4071].start 22679.37284375
transcript.pyannote[4071].end 22690.56096875
transcript.pyannote[4072].speaker SPEAKER_21
transcript.pyannote[4072].start 22691.06721875
transcript.pyannote[4072].end 22716.02534375
transcript.pyannote[4073].speaker SPEAKER_21
transcript.pyannote[4073].start 22716.17721875
transcript.pyannote[4073].end 22720.15971875
transcript.pyannote[4074].speaker SPEAKER_21
transcript.pyannote[4074].start 22720.44659375
transcript.pyannote[4074].end 22732.47846875
transcript.pyannote[4075].speaker SPEAKER_21
transcript.pyannote[4075].start 22732.83284375
transcript.pyannote[4075].end 22738.30034375
transcript.pyannote[4076].speaker SPEAKER_29
transcript.pyannote[4076].start 22737.86159375
transcript.pyannote[4076].end 22739.85284375
transcript.pyannote[4077].speaker SPEAKER_29
transcript.pyannote[4077].start 22740.74721875
transcript.pyannote[4077].end 22740.76409375
transcript.pyannote[4078].speaker SPEAKER_08
transcript.pyannote[4078].start 22740.76409375
transcript.pyannote[4078].end 22742.83971875
transcript.pyannote[4079].speaker SPEAKER_29
transcript.pyannote[4079].start 22742.06346875
transcript.pyannote[4079].end 22742.77221875
transcript.pyannote[4080].speaker SPEAKER_29
transcript.pyannote[4080].start 22742.83971875
transcript.pyannote[4080].end 22743.46409375
transcript.pyannote[4081].speaker SPEAKER_08
transcript.pyannote[4081].start 22744.27409375
transcript.pyannote[4081].end 22746.77159375
transcript.pyannote[4082].speaker SPEAKER_08
transcript.pyannote[4082].start 22747.44659375
transcript.pyannote[4082].end 22749.01596875
transcript.pyannote[4083].speaker SPEAKER_08
transcript.pyannote[4083].start 22751.69909375
transcript.pyannote[4083].end 22757.38596875
transcript.pyannote[4084].speaker SPEAKER_08
transcript.pyannote[4084].start 22758.02721875
transcript.pyannote[4084].end 22770.22784375
transcript.pyannote[4085].speaker SPEAKER_08
transcript.pyannote[4085].start 22770.58221875
transcript.pyannote[4085].end 22783.84596875
transcript.pyannote[4086].speaker SPEAKER_08
transcript.pyannote[4086].start 22784.20034375
transcript.pyannote[4086].end 22787.00159375
transcript.pyannote[4087].speaker SPEAKER_08
transcript.pyannote[4087].start 22787.55846875
transcript.pyannote[4087].end 22789.80284375
transcript.whisperx[0].start 29.591
transcript.whisperx[0].end 30.84
transcript.whisperx[0].text 委員會主席
transcript.whisperx[1].start 1820.643
transcript.whisperx[1].end 1831.901
transcript.whisperx[1].text 好我們出席委員已足法定人數現在開會請議事人員宣讀上次會議議事錄
transcript.whisperx[2].start 1833.55
transcript.whisperx[2].end 1841.637
transcript.whisperx[2].text 立法院第11屆第2會期社會福利及衛生環境委員會第9次全體委員會議議事錄時間113年11月20日星期三9時2分至16時41分地點群賢樓801會議室出席委員陳委員趙姿等15人列席委員吳委員秉瑞等35人列席官員勞動部部長何佩珊等相關人員
transcript.whisperx[3].start 1854.269
transcript.whisperx[3].end 1871.024
transcript.whisperx[3].text 主席蘇趙及委員清泉報告事項宣讀上次會議議事錄決定確定邀請勞動部部長權需部國防部內政部警政署內政部消防署行政院人事行政總處考試院公務人員保障及培訓委員會教育部及國家科學及技術委員會就
transcript.whisperx[4].start 1872.685
transcript.whisperx[4].end 1898.093
transcript.whisperx[4].text 職場霸凌防治與處理作業進行專題報告並被質詢本次會議由勞動部部長報告後委員陳昭之等33人提出質詢軍經勞動部部長考試院保訓縱規處處長黃振榮公務人員保障暨培訓委員會保障處處長黃秀琴行政院人事行政總處綜合規劃處處長陳月春教育部人事處處長王崇斌衛生福利部心理健康司代理司長鄭淑欣
transcript.whisperx[5].start 1899.313
transcript.whisperx[5].end 1925.674
transcript.whisperx[5].text 全序部法規司司長雷辰國防部常務次長楊基榮及內政部消防署副署長馮俊義及各相關主管等及其答覆委員林國成張家俊柯智恩及萬美玲所提書面質詢列入記錄刊登公報決定一報告及詢答完畢二委員質詢未及答覆或請補充資料者請相關機關於二周內書面答覆委員令要求期限者從其所定通過臨時提案四項宣讀完畢
transcript.whisperx[6].start 1934.453
transcript.whisperx[6].end 1962.963
transcript.whisperx[6].text 請問委員會上次議事錄有無錯誤或遺漏之處沒有那議事錄確定今天的議程會議議程審查中華民國114年中央政府總預算案關於衛生福利部主管預算公務及基金預算今天只有詢答那我現在介紹在場的委員及列席官員
transcript.whisperx[7].start 1964.232
transcript.whisperx[7].end 1991.864
transcript.whisperx[7].text 第一位是陳昭芝委員林業勤委員王振旭委員好等一下如果委員來我再補介紹那我們介紹行政官員齁我們衛務部部長邱太元綜合規劃司司長廖坤富
transcript.whisperx[8].start 1996.109
transcript.whisperx[8].end 2023.598
transcript.whisperx[8].text 會計處處長張玉珍社會保險司組密劉玉娟社會救助及社工司司長蘇昭如保護服務司司長張秀淵護理及健康照護司司長蔡淑鳳
transcript.whisperx[9].start 2027.33
transcript.whisperx[9].end 2054.32
transcript.whisperx[9].text 醫事師師長 劉業平口腔健康師師長 張永敏中醫藥師師長 蘇益璋長長照師師長 祝建芳心理健康師代理師長 鄭淑欣秘書處處長 許朝成
transcript.whisperx[10].start 2059.053
transcript.whisperx[10].end 2065.98
transcript.whisperx[10].text 人事處處長李玉慧統計處處長李秋晏資訊處處長李建章政風處處長紀家珍
transcript.whisperx[11].start 2079.794
transcript.whisperx[11].end 2104.325
transcript.whisperx[11].text 國際合作司主任施鈞水護屬醫療及社會福利機構管理委員會執行長林慶豐前名健康保險會執行秘書周淑婉
transcript.whisperx[12].start 2107.27
transcript.whisperx[12].end 2132.336
transcript.whisperx[12].text 前民健康保險爭議審議會執行秘書張玉霞國民年金監理會執行秘書石美春衛生福利人員信念中心主任楊惠芬
transcript.whisperx[13].start 2137.356
transcript.whisperx[13].end 2142.822
transcript.whisperx[13].text 國民年金監理會副執行秘書 劉碧珠科技發展組紀監 劉明勛國民健康署署長 吳釗鈞
transcript.whisperx[14].start 2166.77
transcript.whisperx[14].end 2195.858
transcript.whisperx[14].text 執管署署長莊仁祥石耀署署長莊生宏石耀署我這下午的齁中央健保署署長石崇良社交署代理署長周道軍國家衛生研究院院長司徒惠康
transcript.whisperx[15].start 2200.066
transcript.whisperx[15].end 2208.749
transcript.whisperx[15].text 勞動部勞工保險局組長 吳維揚勞動基金應用局組長 蘇嘉華行政院主計總處公務預算處專門委員 張嘉瑜基金預算處科長 劉亞文
transcript.whisperx[16].start 2228.706
transcript.whisperx[16].end 2244.606
transcript.whisperx[16].text 今天我們衛務部全員到齊我們在邱部長說明之前做以下宣告
transcript.whisperx[17].start 2246.306
transcript.whisperx[17].end 2271.261
transcript.whisperx[17].text 114年衛生福利部公務及基金預算案委員針對審查之書面提案請於12月6日下午5點以前書面送交本委員會辦公室那今年的那個會期我們是確定延到元月21日所以大家心裡有準備那接下來我們請邱部長來說明時間6分鐘
transcript.whisperx[18].start 2280.051
transcript.whisperx[18].end 2300.272
transcript.whisperx[18].text 主席、各位委員、女士先生今天大院第11屆第2會期社會福利及衛生環境委員會早開全體委員會議選查本部主管114年度預算案本部呈邀列席報告自感榮幸本人僅提出檢要報告報告大綱請參閱
transcript.whisperx[19].start 2303.956
transcript.whisperx[19].end 2313.644
transcript.whisperx[19].text 本部114年的施政計畫是基於促進全民健康與福祉的使命建構健全福利服務體系等八大施政目標
transcript.whisperx[20].start 2315.502
transcript.whisperx[20].end 2329.568
transcript.whisperx[20].text 為達到施政目標本部結合公務及基金預算支援推動各項未設政業務擬定各項工作及業務計劃其中公務預算稅入編列31.7億元稅出編列3701.8億元基金預算部分總收入為1兆1500.3億元總支出1兆1640.9億元
transcript.whisperx[21].start 2343.635
transcript.whisperx[21].end 2364.305
transcript.whisperx[21].text 先說明本部公務預算編列情形稅率預算編列31.7億元以歸會收入24.6億元最高約佔78%只要是食藥署的藥材、藥品、衣材、化妝品、食品、茶宴、檢驗等審查會收入稅數預算編列3701.8億元以補助社會保險等法律義務支出
transcript.whisperx[22].start 2372.15
transcript.whisperx[22].end 2380.777
transcript.whisperx[22].text 2506億元約佔68%最高其次為本市推動各項為修正業務所需要的基本需求1044.1億元約佔28%本部稅務預算大部分為社會
transcript.whisperx[23].start 2388.001
transcript.whisperx[23].end 2390.042
transcript.whisperx[23].text 基金預算部分本部主管的基金
transcript.whisperx[24].start 2416.178
transcript.whisperx[24].end 2424.065
transcript.whisperx[24].text 具有4個作業基金和1個特別收入基金均編列護士單位預算其中醫療藥品基金下設26個部立醫療機構的分預算
transcript.whisperx[25].start 2428.431
transcript.whisperx[25].end 2450.228
transcript.whisperx[25].text 衛生福利部特別收入基金只有11個分預算各基金名稱及主要辦理業務如簡報請委員參列本部4個作業基金主要辦理醫療業務、管制藥品、滯銷以及健保與國保等業務共編類收入一兆510.2億元以支出一兆488.4億元收支付抵後
transcript.whisperx[26].start 2456.345
transcript.whisperx[26].end 2475.074
transcript.whisperx[26].text 本期剩餘計21.8億元其中憲保基金及國保基金無疑錯適應憲保基金原收支差距459.9億元以收回安全準備應應那國保基金原收支皆以338.8億元則悉數提存為安全準備
transcript.whisperx[27].start 2480.41
transcript.whisperx[27].end 2494.154
transcript.whisperx[27].text 衛生福利特別收入基金編列基金來源990.1億元本年度應用基金可用財源用以辦理長期照顧及各項衛生保健及社會福利業務估計投入1152.5億元故預計產生短促162.4億元將用於前年度的剩餘填補
transcript.whisperx[28].start 2505.509
transcript.whisperx[28].end 2518.095
transcript.whisperx[28].text 本部配合行政院施政方針為執行實現健康臺灣的願景推動長期照顧服務因應少子化問題及健全社會安全網等重要政策114年度預算編列情況說明錄下為實施健康臺灣願景本部114年度預算
transcript.whisperx[29].start 2525.299
transcript.whisperx[29].end 2533.067
transcript.whisperx[29].text 預計投入607億辦理健康臺灣生根相關措施國家癌症防治計畫推動8.888計畫確保健保永續經營等多項作為以及持續優化醫療環境與資源普及
transcript.whisperx[30].start 2540.495
transcript.whisperx[30].end 2563.516
transcript.whisperx[30].text 癌症篩檢與慢性病預防.擴大辦理心理健康支持措施.加速引入癌症診療.使國人享有更完善及做前的健康照顧.除了健康臺灣所推動的醫衛措施以外.本部為照顧弱勢、營養高齡化及少子化議題.亦提出長期照顧強化社會安全網.少子齡化對策計畫.
transcript.whisperx[31].start 2565.27
transcript.whisperx[31].end 2587.121
transcript.whisperx[31].text 以及部件身心障礙照顧服務支援等重要社福預算首先為了落實政府長照長期照顧政策114年度本部長照經會共編884.6億只要系系辦理長期照顧給互及支付制度社區整體照顧服務體系及機構及社區預防性照顧服務等
transcript.whisperx[32].start 2588.699
transcript.whisperx[32].end 2617.388
transcript.whisperx[32].text 其逐步建構完整長壽體系實現在地老化目標此外為助年輕一代怨婚感生感癢編列少子化對策計畫358.5億減輕家庭照顧者負擔擴增及多元化身心障礙福利機構服務編列身心障礙照顧服務支援部件計畫70.6億元實施編列社安網第二期計畫67億以完備社會安全體系本部公務及
transcript.whisperx[33].start 2618.713
transcript.whisperx[33].end 2637.86
transcript.whisperx[33].text 基金預算.執行.與國民健康福祉息息相關為實踐提高高品質醫療衛生保健與福利服務並達成健康臺灣福利全民的政策目標懇請各位委員支持本部預算謝謝謝謝部長的說明
transcript.whisperx[34].start 2649.932
transcript.whisperx[34].end 2677.595
transcript.whisperx[34].text 今天看起來沒有像昨天那麼多人了昨天實在太累了我們現在開始詢答做以下的宣告本會委員詢答時間8分鐘列席的委員4分鐘委員花園登記10點半截止如果有書面質詢請以上會請提出預期不受理
transcript.whisperx[35].start 2679.276
transcript.whisperx[35].end 2691.441
transcript.whisperx[35].text 暫定10點半前後休息10分鐘本次會議不處理臨時提案好那我們現在開始詢答我們請地會委員陳昭芝有言質詢好謝謝主席有請邱部長部長請
transcript.whisperx[36].start 2707.705
transcript.whisperx[36].end 2712.591
transcript.whisperx[36].text 委員長部長你有關注昨天的在未還委員會的質詢嗎有沒有因為我昨天在財政委員會集管署報紙是已經沸沸揚揚集管署有傳出有土皇帝組長霸凌組員這件事您知道嗎
transcript.whisperx[37].start 2726.877
transcript.whisperx[37].end 2755.604
transcript.whisperx[37].text 有這樣的新聞出來我們立即再處理請問部長那除了集管署之外衛福部內有沒有其他的單位有類似的情形只要有任何的一個信息我們一定如果你收到檢舉你會不會處理當然會處理你卓院長昨天說了要徹查那部長你要怎麼查你要被動嗎還是要先主動的去了解
transcript.whisperx[38].start 2756.311
transcript.whisperx[38].end 2784.07
transcript.whisperx[38].text 如果有信息我們一定先去瞭解它的來源以及我們會用最嚴格的規定來進行基本上都會像機關署這個我們會用好部長 機關署署長請回沒問題你們再進行部長某個FB的匿名粉專公開貼文提到貴部的他用市長某市長霸凌所屬的無良長官不分平假日下屬要安扣我也收到類似的檢舉
transcript.whisperx[39].start 2785.271
transcript.whisperx[39].end 2801.959
transcript.whisperx[39].text 部長你要不要查這件事情我等一下把這張給你就是在捲舉衛福部的我們立即來瞭解你要不要來處理這件事情當然要處理麻煩劉玉娟主秘請上台謝謝玉娟主秘
transcript.whisperx[40].start 2812.884
transcript.whisperx[40].end 2830.261
transcript.whisperx[40].text 請問是不是真有此事你有沒有自己早早下班讓下屬幫你看門要求下屬24小時安扣以及跟類似這個霸凌下屬的行為請您自己說明我沒有請過同仁要加班或是假日要來上班沒有一次都沒有過
transcript.whisperx[41].start 2832.148
transcript.whisperx[41].end 2835.452
transcript.whisperx[41].text 報告委員因為我裡面有看一下他好像是說最近才調來的司長我們的司長沒有新任的
transcript.whisperx[42].start 2851.791
transcript.whisperx[42].end 2870.518
transcript.whisperx[42].text 我們的司長,像劉一堅司長已經...部長,坦護是不會有好結果的,我們想瞭解一下,可能...我想說部長,那您就回去調查,但是我想聽主秘,您說您完全沒有這個類似的...他說此人空降司長數月
transcript.whisperx[43].start 2874.143
transcript.whisperx[43].end 2889.735
transcript.whisperx[43].text 我收到的檢舉是這樣的我收到檢舉立委這兩天每個立委都收到一堆檢舉每個立委都收的太多檢舉了因為蜜兔事件延燒了那請你說明一下沒關係只要有任何的信息我會交人事處
transcript.whisperx[44].start 2893.038
transcript.whisperx[44].end 2911.28
transcript.whisperx[44].text 主席不能講話嗎你就是說沒有對不對你就是一句話就是沒有提到執政黨空降愛將你覺得你自己有沒有讓部主被霸凌的感覺我沒有請同仁過來你沒有覺得你有被讓屬下有被你霸凌的感覺我瞭解
transcript.whisperx[45].start 2912.581
transcript.whisperx[45].end 2926.546
transcript.whisperx[45].text 我們的這些主管其實都是長久的部長這個是兩回事部長請讓公務員你會去調查請讓公務員願意講真話的方式去調查你有智慧來了解我們在調查的程序有這樣的一個匿名的好
transcript.whisperx[46].start 2932.248
transcript.whisperx[46].end 2961.808
transcript.whisperx[46].text 那我當然覺得說不只是衛福部啦我希望所有的行政機關都能夠這個主管都沒有在職場類似霸凌的行為讓員工們能夠好好的做事安心有錢的人為國家付出嘛這也是我們追求的目標我們追求的目標跟委員一樣部長那就是請你記得這件事是部長我們來談百億癌藥基金現在預注了50億元到健保基金叫做癌症心要暫時性支付款項專款專用部長您知道請您回答這個基金這個專款的目的是什麼
transcript.whisperx[47].start 2963.589
transcript.whisperx[47].end 2988.358
transcript.whisperx[47].text 目的其實就是希望這個部份我們希望能夠來我意思是說專管的目的就是加速嘛加速 該用的藥嘛那這樣子的話但是我要我瞭解現在新藥的審查方式就是經過專家會議然後再共鳴會嘛那這當中還有很多要處理的事來回的意見跟意見
transcript.whisperx[48].start 2989.818
transcript.whisperx[48].end 3006.288
transcript.whisperx[48].text 是那要不少時間那據我瞭解本週一提出的這個作業在癌症性要暫時性支付款的過程審查過程跟現在一模一樣現在是要審查一模一樣那這樣真的能加快嗎部長這樣真的能加速嗎你如果步驟跟以前都一樣真的能加速嗎
transcript.whisperx[49].start 3007.233
transcript.whisperx[49].end 3022.304
transcript.whisperx[49].text 我想我們不只步驟我們有成立更多的一個怎麼加速步驟一模一樣啊經過的過程這個關卡都一模一樣啊那如果沒有辦法加速那這個專款就是虛晃一朝啊委員可不可以容許我請那個署署長跟你說明一下
transcript.whisperx[50].start 3023.271
transcript.whisperx[50].end 3048.63
transcript.whisperx[50].text 跟委員報告這裡面有幾個加速的關鍵第一個就是說我們就啟動了這個平行審查機制就是他可以在那個申請我知道你瞭解但是我們現在要等著看他的結果啦好不好就是說我有一些建議因為這個是公務特別預算嘛部長是不是特別編出來的嘛特別目的嘛那他一定要經過共你會討論嗎
transcript.whisperx[51].start 3051.156
transcript.whisperx[51].end 3071.185
transcript.whisperx[51].text 跟委員報告當然這一關卡很麻煩的對但是呢因為這個預算的本身還是在健保基金裡面那我們當然是還是尊重啦不過我們可以加速因為他的預算比較多了那主導您進來回答那我們可不可能把它當報告案報告過去就好了因為這是特別的
transcript.whisperx[52].start 3071.886
transcript.whisperx[52].end 3086.125
transcript.whisperx[52].text 就不需要再討論了另外我想就這個時間剛好跟兩位署長建議我認為共理會應該要直播啦我是不是從衛福部開始先進國家任何重要的會議有關人民權益的會議其實包括疫苗審查的時候
transcript.whisperx[53].start 3087.186
transcript.whisperx[53].end 3108.582
transcript.whisperx[53].text 我們覺得是應該考慮要直播現在是片片斷斷剪來剪去不是真相這是第一個就是請你們快速研議夠你會直播的可能性讓大家每個人為他自己講話負責任真的有困難就讓大家知道這個都是大家都可以做還有病人練習的部分可不可能成為正式代表就是病人代表的部分那一次是這樣做的
transcript.whisperx[54].start 3109.342
transcript.whisperx[54].end 3120.649
transcript.whisperx[54].text 我們現在有徵詢這個請健保會推薦屬於這個非醫療服務提供者的代表來加入到這個共理會議正式代表部長你還記得這本書嗎健康達人125
transcript.whisperx[55].start 3124.631
transcript.whisperx[55].end 3130.493
transcript.whisperx[55].text 我們兩個是第一第二作者這本書當時出版的目的就是回歸健保只是要不給付當時侯署長是先把維他命類的跟這個胃藥民眾說胃藥我們說致酸劑先排除但是要處理一些一般感冒藥的時候遇到一些障礙
transcript.whisperx[56].start 3149.02
transcript.whisperx[56].end 3165.778
transcript.whisperx[56].text 當時侯署長交代說我們要先做民眾的教育自我健康的照顧所以要先有一本類似這樣的書所以我們是這樣做出來的自我用的部分那4個月前我們的附帶決議當中有這個部分只是要這個推出健保給付等等
transcript.whisperx[57].start 3167.219
transcript.whisperx[57].end 3195.462
transcript.whisperx[57].text 那時候我們講好3個月啊,現在4個月過去了,怎麼樣程度啊?有言議你一定實懲,因為這個要盡量我們是站在保護民眾健康的一個,這是最高原則之下,我們去爭取大家的意見,類似實懲這個公文上面寫說,取消只是要給付實懲,這是違法給付不是叫取消啦,是要回歸啦
transcript.whisperx[58].start 3196.002
transcript.whisperx[58].end 3221.944
transcript.whisperx[58].text 要回歸了那部長這個我就講一下只是要看起來只有一二十億啦但是我們現在每人每年看病是17到18次啊你應該都說過啊說大家檢看一次其實我沒有要全面讓大家說欸就是說欸都回到立刻回到這個社區但是如果每個人每年少一次看病你們自己說的啊可以少300億啊啊這個錢就拿來處理心要處理重大疾病現在大缺口的部分都可以處理啊
transcript.whisperx[59].start 3222.905
transcript.whisperx[59].end 3240.577
transcript.whisperx[59].text 所以是不是說這個有關在附帶決議的部分那再請你處理一下主席再給我一點時間因為現在很多這個我們衛福部努力在推動這個居家安寧照護計畫居家安寧照護計畫那透過疼痛的控制減緩身體不適可以讓末期的病人的生命品質
transcript.whisperx[60].start 3241.577
transcript.whisperx[60].end 3246.818
transcript.whisperx[60].text 部長您知道現在病人或家屬要取得這個管制藥品有多困難嗎?是怎麼取得的嗎?就是居家安寧照護計畫您知道他怎麼取得?
transcript.whisperx[61].start 3263.863
transcript.whisperx[61].end 3290.016
transcript.whisperx[61].text 我想我一個安寧的老兵這三十年來就是在處理這件事情他是透過社區健保特約藥局來做的很感謝藥局來協助但是他們做準備跟交付藥品才能順利做但是這個現在有一些問題我簡單跟部長講部長現在這個特約藥局大概有7600家您可以猜想嗎有多少家加入了這個這麼重要的計畫呢
transcript.whisperx[62].start 3292.381
transcript.whisperx[62].end 3303.343
transcript.whisperx[62].text 大概有多少家?7600家當中有多少家加入的呢?大概有100家左右啦!不定有57間而已啦!連1%都沒有啦!這麼低的原因跟很多的問題有關啦!大概就幾個問題!健保給付的點數是有改進空間的!第二個這個因為這個管制藥品管理非常嚴格嘛!違反這個銷毀程序!罰額很高喔!在15到75萬!那要是在回收的過程當中如果不小心破損了
transcript.whisperx[63].start 3321.607
transcript.whisperx[63].end 3332.752
transcript.whisperx[63].text 他至少也要罰15萬以上不合比例啊而且那個食藥署的管制藥品管制工廠轉嫁成本到藥局導致藥局在執行這個成本過高譬如說藥局跟這個製藥工廠訂定這個這個管制藥品的時候油費手續費匯費廢片記錄管理管制藥品廢棄物清潔費過期報銷費等等都有藥局來承擔啊你這樣叫他們你做功德就算了你還讓他額外付出
transcript.whisperx[64].start 3350.1
transcript.whisperx[64].end 3356.342
transcript.whisperx[64].text 所以這個部分是不是可以一個月內做一個檢討因為你要鼓勵居家安寧照護那你要讓社區藥局能夠配合你又管這麼嚴讓他嚇死了對不對疼痛的共識對居家安寧的病人是非常重要的這個社區藥局不斷的來跟我澄清這件事已經有一段時間了我們管治藥品當然要嚴格怎麼樣嚴格之下
transcript.whisperx[65].start 3373.729
transcript.whisperx[65].end 3383.564
transcript.whisperx[65].text 最合理的比較符合比例的讓民眾能夠得到最好的照顧也不應該都轉嫁到社區藥局嗎當然當然現在這是配合國家計畫來處理好那謝謝部長我把這張交給您好謝謝謝謝陳昭志委員謝謝部長
transcript.whisperx[66].start 3389.434
transcript.whisperx[66].end 3409.807
transcript.whisperx[66].text 那個那個那個疫苗的施打部長,也是一樣啊,都叫美医叫金獸自己負擔所有的管銷、冷氣、空調、冰,壞掉都要自己賠一起一起一起一起研議啦,趙志偉都提金獸公關委,我也要提金獸公關委
transcript.whisperx[67].start 3414.977
transcript.whisperx[67].end 3419.798
transcript.whisperx[67].text 好 接續我們請林業勤委員質詢要補介紹我們盧憲宜委員盧憲宜委員到場主席麻煩我們的邱部長委員長
transcript.whisperx[68].start 3437.605
transcript.whisperx[68].end 3465.836
transcript.whisperx[68].text 部長早今天要跟部長討論三個我很關心的議題第一個就是我們現在預算最多的也是最重要的社安網的部分明年度是社安網第二期計畫的最後一年你的預算也編列了大約66億9千萬可是近期發生的重大惡劣事件裡邊想問部會間我們支援網絡的部件狀況是什麼社安網真的連起來了嗎叫做網絡嗎
transcript.whisperx[69].start 3467.316
transcript.whisperx[69].end 3490.615
transcript.whisperx[69].text 還是仍然充滿了破洞這其實是我們一直在努力的目標也感謝委員一直關心這個部分網路的串聯的確是社安網一個很重要的關鍵那這個部分其實我們衛福部社家屬這個部分可以說是也是很多的策略在進行
transcript.whisperx[70].start 3491.907
transcript.whisperx[70].end 3507.737
transcript.whisperx[70].text 真的有在徹底在做進行嗎因為從近年重大的惡虐事件當中跟監察院的報告都指出跨網絡的合作機制仍然是沒有很順暢的讓色安網一再落入的色證的色安網
transcript.whisperx[71].start 3508.677
transcript.whisperx[71].end 3525.214
transcript.whisperx[71].text 社政的社安網的困境所以什麼叫社政社安網我就引述專家學者說的大家看到社安網還是會覺得是歸屬於社政變成社政孤立無援所以我們社工做得非常辛苦還沒有網絡的資源最後網絡就是只剩下通報的功能現在整體的網絡功能被惡化
transcript.whisperx[72].start 3527.276
transcript.whisperx[72].end 3527.657
transcript.whisperx[72].text 衛生福利部長
transcript.whisperx[73].start 3542.976
transcript.whisperx[73].end 3545.137
transcript.whisperx[73].text 委員會委員會委員會委員會委員會委員會委員會委員會委員會委員會委員會委員會委員會委員會委員會委員會
transcript.whisperx[74].start 3568.67
transcript.whisperx[74].end 3576.656
transcript.whisperx[74].text 今天我們的預防針只要打到兩歲三個月然後最後就是告訴我們的社政告訴社政之後呢那
transcript.whisperx[75].start 3577.757
transcript.whisperx[75].end 3598.855
transcript.whisperx[75].text 社政去訪說小孩子被其他情人帶走那有沒有去查證然後再來就是去通知警政部長如果你對於自己鄉下的衛政都管不了然後你要去通知警政警政如果也不去查訪然後最後才知道說孩子已經因為已經要念書了孩子走了
transcript.whisperx[76].start 3599.375
transcript.whisperx[76].end 3623.887
transcript.whisperx[76].text 多年前就走了那他還領育了今天這不是覺得很荒謬嗎所以我想問一下你的網絡到底有串接嗎你的網絡的連結到底衛福部有沒有幫社工看到你要怎麼去做不要讓我們的各部會政府部門不能說講好聽叫各司其職講難聽叫各自為政最後你能處理內政嗎
transcript.whisperx[77].start 3625.248
transcript.whisperx[77].end 3653.574
transcript.whisperx[77].text 到底網絡真的有連結嗎?還是真的是社政的社安網?好,謝謝委員那我兩個部分,第一個部分就是那個其實衛政這個部分,我們全國的其實醫療院所過去幾年來在像我們蘇昭偉以前當過前院會理事長也很重視這一塊,所以我們其實跟醫療院所都有跟社會安全網在結合在各個
transcript.whisperx[78].start 3654.814
transcript.whisperx[78].end 3664.742
transcript.whisperx[78].text 議事公會在推廣給所有的醫療院所在做希望真的部長這有牽扯到不是只有衛生有教育警政勞政都有關聯性我們也有在串聯是請那個
transcript.whisperx[79].start 3669.685
transcript.whisperx[79].end 3693.667
transcript.whisperx[79].text 是跟委員報告謝謝委員關心基本上在今天談的這個議題都已經在入法而市場裡頭都有規定因為過去我在民間就常碰到類似這種狀況然後進來還是碰到這種狀況表示你的網絡線還是沒辦法你一個保護師可以去跟教育溝通嗎甚至有些現在社工人員都撥補到教育體系或是警政體系那有用嗎
transcript.whisperx[80].start 3694.949
transcript.whisperx[80].end 3704.119
transcript.whisperx[80].text 有些家庭教育中心的社工人員都還沒補齊在中央在行政院在衛福部在中央以及到縣市都有網絡的不同層次的會議事實上已經達到這個目標當然
transcript.whisperx[81].start 3711.647
transcript.whisperx[81].end 3740.54
transcript.whisperx[81].text 所以我們在系統上面資訊系統也有做勾結所以這個部分都已經逐漸邁向他是一個網路如果這些解決了不會今年度又發生同樣的問題然後你最後就是去跟媽媽去追那個他預的那個育兒津貼而已嗎還是早就走了是在制度建構上面通常都是透過個案來檢驗我們會希望你的預算編了可是要真的能夠防堵孩子不要再
transcript.whisperx[82].start 3741.46
transcript.whisperx[82].end 3755.937
transcript.whisperx[82].text 施去我覺得這是國家的責任在部長這邊也要再跟你提醒你自己來自醫療體系那今年3月的總諮詢的時候我就已經提過死因回溯應該要擴大來全面執行
transcript.whisperx[83].start 3756.657
transcript.whisperx[83].end 3775.476
transcript.whisperx[83].text 為什麼因為過去我們的法定沒有錯0到6歲可是我覺得政府如果在法沒有改當中為保護孩子不應該去考慮嗎你的1到14歲事故傷害事實上是死亡的第一名欸始終都沒有去解決一直要去處理惡虐我不是不贊成可是最大死因是在事故傷害這一塊
transcript.whisperx[84].start 3777.057
transcript.whisperx[84].end 3799.413
transcript.whisperx[84].text 所以在那3月的時候我就質詢那那時候曾經人院長也有承諾答應是說至少兩個東西要做這也是符合我們2022年國際委員來省CRC的時候他提到交通事故還有呢自殺交通的確我們的交通部跟國土署那邊編了4年400億要去改善交通環境自殺也編了1.6億要來做
transcript.whisperx[85].start 3802.535
transcript.whisperx[85].end 3802.735
transcript.whisperx[85].text 主席
transcript.whisperx[86].start 3830.757
transcript.whisperx[86].end 3854.669
transcript.whisperx[86].text 我們就是不斷的讓自殺一直維持在第二名那交通維持在第一名那想問一下因為英國的做法他本來是3595人死亡下降到2724人那可以透過這樣的回溯讓可修正的問題事實上成長到37%所以想問一下你們到底要怎麼來執行
transcript.whisperx[87].start 3856.472
transcript.whisperx[87].end 3882.491
transcript.whisperx[87].text 謝謝委員的關心其實委員上次執行隨行以後我們一直在演繹要演繹到什麼時候因為為什麼上次就說你們編的經費太少了根本都沒辦法達到結果到現在我看114年的預算還是依然入庫其實我們都有委託專人在分析部長先講大概什麼時候為什麼因為我3月執行的時候那時候就已經有承諾可是我再看114年預算還是這樣
transcript.whisperx[88].start 3885.707
transcript.whisperx[88].end 3905.556
transcript.whisperx[88].text 委員這兩個部份阿 二樓死因回顧的部份目前6歲以下要不要做到我們的至少這兩個交通跟自殺已經是最嚴重自殺心理健康是已經委託臺大團隊在做研究分析如果等到你們研究分析不知道又有多少孩子傷亡因為我們今年生的
transcript.whisperx[89].start 3907.202
transcript.whisperx[89].end 3907.802
transcript.whisperx[89].text 交通事故也是一樣嗎?
transcript.whisperx[90].start 3931.711
transcript.whisperx[90].end 3945.857
transcript.whisperx[90].text 我想這個死亡死因的分析是非常重要,任何一個年齡層都需要就好像我們在醫院病人如果有狀況的話我們都會做很分析來減少來避免這樣的悲劇
transcript.whisperx[91].start 3946.997
transcript.whisperx[91].end 3961.08
transcript.whisperx[91].text 那部長是講說你現在會做明年會執行嗎尤其是我剛剛講的那兩個議題也符合我們的國際委員審查的時候的要求否則你2026年怎麼去交第二第三次的國家報告
transcript.whisperx[92].start 3962
transcript.whisperx[92].end 3983.067
transcript.whisperx[92].text 據我了解我們國內大概二三十年前一直發展青少年醫學在這個部分他們也做了很多的努力我想我們衛福部把相關的資訊收集我相信所有的相關部門都一直在努力我沒有說不努力可是要切中要害好嗎要知道死亡原因才能夠去減少傷亡不是嗎而且那個每一個時
transcript.whisperx[93].start 3986.568
transcript.whisperx[93].end 4005.699
transcript.whisperx[93].text 每一個可能時代是不太一樣的所以我們一直要做一直要做一直改善一直改善可是我們自殺已經是一直往上飆高交通事故今年也是沒有再下降我們的青少年的那樣子的一個交通事故並沒有再下降所以是不是應該明年要針對這一塊我們會更積極請委員放心
transcript.whisperx[94].start 4010.441
transcript.whisperx[94].end 4033.152
transcript.whisperx[94].text 我希望不是分析喔我覺得要確實去執行最後就是10月9號我就執行過的特殊需求孩子不得已要到安置一個是緊急安置因為家暴的關係一個事實上是一般型安置可是你特殊需求的孩子的安置竟然安置在護理之家安置在不當的場所10月9號我就執行過期待你們能夠去執行
transcript.whisperx[95].start 4036.173
transcript.whisperx[95].end 4063.353
transcript.whisperx[95].text 因為當時我就主張你一定要提出短中長期的計畫來對於特殊需求因為在民間那時候我就質疑這一塊那時候才144位就一進來之後你們反而更多變成174位那到現在還是沒有去改善結果你們的回文是這樣子所以我想問一下回文你的短中長期要這樣做沒有任何期程也沒有任何相關計畫而且明年也沒有看到任何編列預算的經費要去推展那我不知道
transcript.whisperx[96].start 4064.053
transcript.whisperx[96].end 4087.857
transcript.whisperx[96].text 到底這10月30號回我的文到底回的是什麼報告委員我們短期是指今年中期是指大概明年上半年對那你明年也沒編列經費預算的話你怎麼讓特殊需求的孩子回到兒少安置機構而不是在護理之家在老人的長照的機構裡面在現有的預算裡面我們會把這些事情做好
transcript.whisperx[97].start 4088.934
transcript.whisperx[97].end 4089.395
transcript.whisperx[97].text 主席有請部長委員長
transcript.whisperx[98].start 4118.308
transcript.whisperx[98].end 4137.106
transcript.whisperx[98].text 我們看到我們前章基礎建設第5期有特別編列大概2億8千萬是補助地方政府辦理原住民主及離島地區衛生所的耐震補強評估跟補強工作那感謝我們召委蘇星群召委安排18號我去那馬下看了我們
transcript.whisperx[99].start 4139.159
transcript.whisperx[99].end 4165.767
transcript.whisperx[99].text 衛生所所在地距離人民居住最遠的一個衛生所因為那個是他們在莫拉克15年前發生的時候因業廢時的把衛生所搬離了離人民所在的地方3.2公里而且是波度非常陡一般年輕人還要特殊技巧才可以開上去的用摩托車才能夠開上去那個衛生所然後如果是一般汽車的話大概十幾分鐘才會到達
transcript.whisperx[100].start 4166.874
transcript.whisperx[100].end 4191.938
transcript.whisperx[100].text 那當然這經過10年他們希望能夠搬下來那我們召開的一個區長的一個召開的一個會決議希望能夠搬到現在原來的舊圖書館也就是說舊圖書館是堪用的大概是30年的一個建屋的一個年齡那希望衛福部能夠去參考他們在地的一個規劃然後去把他們實現他們的夢想好不好
transcript.whisperx[101].start 4192.338
transcript.whisperx[101].end 4207.598
transcript.whisperx[101].text 好的因為當時謝謝蘇貞文安排考察那我們的次長也有參與那回來也有報告這類事情我們非常積極去瞭解那據瞭解是說也有人說那裡還是土石流方面
transcript.whisperx[102].start 4208.138
transcript.whisperx[102].end 4232.424
transcript.whisperx[102].text 有,所以那天我有請水保來評估,他們認為...有有,我們會持續評估對,如果說他有持續做每年的輸進的話,那個地方是還是可以用的好,我們一定在...第二個就是需求就是洗腎室,因為那馬下距離最近的岐山醫院要大概一個半小時,到高雄要兩個半小時所以他當地的洗腎的人口大概24人
transcript.whisperx[103].start 4233.524
transcript.whisperx[103].end 4233.684
transcript.whisperx[103].text 委員會主席
transcript.whisperx[104].start 4248.564
transcript.whisperx[104].end 4248.644
transcript.whisperx[104].text 委員會委員會委員會
transcript.whisperx[105].start 4276.095
transcript.whisperx[105].end 4304.213
transcript.whisperx[105].text 主導的角色來幫忙因為目前大概是停在土地的取得他現在大概是利用衛生所附近的周遭的土地然後變更以後看能不能籌建醫院因為目前蘭嶼的人口是5000多人那如果就一般的假日的話他可以湧入5000人一天就湧入5000人那7月份的旅客人數大概將近3萬人這樣一個旅島那個醫療需求是迫在眉睫
transcript.whisperx[106].start 4305.794
transcript.whisperx[106].end 4307.806
transcript.whisperx[106].text 可以嗎你可以做一下你現在的想法嗎
transcript.whisperx[107].start 4310.262
transcript.whisperx[107].end 4336.592
transcript.whisperx[107].text 林執行長相當清楚是不是委員謝謝那就是說委員非常關心蘭嶼這個我們的醫療的資源那當然15塊的15個土地的取得其實都已經透過部落會議在那邊在做整合那現在就是碰到就是我們要跟縣府那特別是對當地的醫療資源人力還有我們也碰到一個叫醫療法規設置標準那因為這個部分會牽涉到我們的
transcript.whisperx[108].start 4338.052
transcript.whisperx[108].end 4363.026
transcript.whisperx[108].text 好那我希望我們林執政長能夠努力的把這件事情完成我有聽到一個消息說15年臺東可能會成立護理專班這護理專班的時候你能不能就蘭嶼的這個需求也劃進去把學生也納入他們的公費的一個培訓或者是偏遠地區比如說嚴平啊海端啊達人這些他的長照跟護理專班能夠一起來設置可以嗎都會包括一起來討論
transcript.whisperx[109].start 4363.826
transcript.whisperx[109].end 4392.387
transcript.whisperx[109].text 我們特別註重這一點當然醫院的事情還很遠那我們先講現在他們的需求他們希望有一些非侵入性的醫療設備還有汰換衛生所的老舊才有的那個發電機第二個也就是強化他現在的後送機制希望他的直升機或者是定義機能夠是常駐在蘭嶼機場如果你發生一些緊急的事情的話他才可以馬上的來運送我們的傷患或者是病患
transcript.whisperx[110].start 4393.067
transcript.whisperx[110].end 4393.948
transcript.whisperx[110].text 衛福部主導.經濟部.
transcript.whisperx[111].start 4414.926
transcript.whisperx[111].end 4444.447
transcript.whisperx[111].text 好 謝謝委員我想你提的都是關心我們男女主人的關心我們會來努力先肯定目前衛福部對原住民平均移民的一個縮短的努力現在按照如果每10年縮短1歲的話我們確實是有達到我們現在這個平均移民是差了6.19歲講平均的話不過男性的話也是要加油在7.12歲這裡所以我們在去年有成立原住民主健康法公告了
transcript.whisperx[112].start 4444.827
transcript.whisperx[112].end 4473.077
transcript.whisperx[112].text 那我們一直說要專責機構專責機構目前還是沒有目前是有原住民主健康政策會還有原住民主健康研究中心我希望這個都都在我們專責機構的一個下面也就是說他應該是附在那個組織裡面而不是你又再去找了一個原住民主健康中心原住民主健康政策會結果這些沒有辦法提供給衛福部適當的一些建議或者是政策的一個方向可以嗎
transcript.whisperx[113].start 4474.482
transcript.whisperx[113].end 4487.021
transcript.whisperx[113].text 我想我們在謝謝我們在研議這個部分那個我相信我現在問你說原住民主健康中心提供哪些研究計畫是成果給你參考你你可以提的出來嗎應該還沒有吧
transcript.whisperx[114].start 4491.905
transcript.whisperx[114].end 4517.49
transcript.whisperx[114].text 我會不會請國衛院來我去做這個謝謝我想要謝謝委員那我們原民的健康研究中心是在去年12月在部裡面的支持之下成立那我們自己院內做了系統性的這個整合那目前請的是我們的許惠恆許副院長他非常有經驗他過去在臺中總統臺北總統對我非常期待
transcript.whisperx[115].start 4519.391
transcript.whisperx[115].end 4519.991
transcript.whisperx[115].text 法定人數不足
transcript.whisperx[116].start 4541.189
transcript.whisperx[116].end 4568.828
transcript.whisperx[116].text 中東歐國家畢業的醫學系或牙醫系學生可以到偏鄉及離島去完成醫療臨床實作的資格大多數只是為了拿到參加國考第二階段考試的資格罷了最終這些同學也大多不會留在原鄉或者是離島地區依然會留在都市地區病患人數較多且集中的地方本席要特別點名衛福部醫事師、口腔衛生師、健康師
transcript.whisperx[117].start 4569.668
transcript.whisperx[117].end 4569.788
transcript.whisperx[117].text 委員會主席
transcript.whisperx[118].start 4591.025
transcript.whisperx[118].end 4607.819
transcript.whisperx[118].text 會是更提高該本地區的健保點值去引導醫療資源的有效分配才是而不是利用優化邊鄉醫療經濟方案的錢去補助你們部立醫院辦理臨床實習解決撇撇留學生的臨床實作培訓
transcript.whisperx[119].start 4608.92
transcript.whisperx[119].end 4631.855
transcript.whisperx[119].text 政府的請示要解決醫療資源欠缺醫生不願意去的原鄉及離島服務的問題而不是提供他們去實習然後去提取得資格去報考第二階段國考這是我看到偏鄉24億的那個優化的那個政策後面的含義希望部長能夠理解我的想法可不可以容我報告一下
transcript.whisperx[120].start 4633.536
transcript.whisperx[120].end 4653.624
transcript.whisperx[120].text 我們偏鄉的一個計畫偏鄉醫療的計畫其實都一直在實行而且它是很多元化的那在去年覺得開始為何不接受到很多鄉鎮沒有牙醫師缺乏老人照顧其實很重要所以在後來就加進去在
transcript.whisperx[121].start 4654.884
transcript.whisperx[121].end 4671.13
transcript.whisperx[121].text 盡量去補充偏鄉地去亞裔這個部亞裔的人力那這個計畫其實在今年的年初方面就已經核定那後來我們就任以後就是意見很多啦所以我們就
transcript.whisperx[122].start 4672.15
transcript.whisperx[122].end 4694.537
transcript.whisperx[122].text 好好就把這個案先暫緩來討論所以目前是暫緩嗎現在說偏鄉計畫不能暫緩但是在牙醫的偏鄉牙醫的這部分我們現在就是政府現在的策略就是政策就是只有針對我現在再講清楚一點針對現在沒有牙醫師的55個鄉鎮
transcript.whisperx[123].start 4699.138
transcript.whisperx[123].end 4699.238
transcript.whisperx[123].text 以本國醫師優先
transcript.whisperx[124].start 4712.261
transcript.whisperx[124].end 4715.783
transcript.whisperx[124].text 現在就是就是這樣子我們不會讓這樣的一個計劃這麼好的一個計劃來補償變成大家爭議的我還是要告訴你的24億如果剛才那個補償
transcript.whisperx[125].start 4734.552
transcript.whisperx[125].end 4742.776
transcript.whisperx[125].text 我希望是做整體的第一個一定要有醫師執照第二個我們現在是以本國醫師為優先所以也不會去實行什麼實習以後再去做那些
transcript.whisperx[126].start 4761.065
transcript.whisperx[126].end 4767.47
transcript.whisperx[126].text 現在不會做這些事情所以我想請那個社會要了解啦我們這個衛福部絕對是站在維護人民健康為優先來解決這個長久的爭議同時希望能夠創造三眼讓偏鄉友醫師和牙醫師包括醫師嘛然後也大家能夠都能夠了解接受
transcript.whisperx[127].start 4785.742
transcript.whisperx[127].end 4787.823
transcript.whisperx[127].text 關於偏鄉醫療經濟部份我希望我跟部長能夠有共識我們一起努力謝謝
transcript.whisperx[128].start 4811.637
transcript.whisperx[128].end 4820.263
transcript.whisperx[128].text 謝謝盧憲毅委員等一下我質詢的時候這個問題我會深入跟你討論那接下來我們請陳清威委員質詢主席謝謝各位官員那就邱部長謝謝
transcript.whisperx[129].start 4840.253
transcript.whisperx[129].end 4861.007
transcript.whisperx[129].text 委員好部長昨天我在財政委員會其實下午就發出這篇文章嘛在催上面的文章說除了勞動部昨天是矚目的焦點以外呢也有籍管署的同仁上網陳情那當時呢您說調查報告大概兩個月會出來
transcript.whisperx[130].start 4861.747
transcript.whisperx[130].end 4884.457
transcript.whisperx[130].text 但昨天晚上行政院院長道歉並且規定大家要一週內完成調查報告的時候呢很晚的時候集管署又重新發了一個新聞稿說一週內會完成那這邊也想在這邊跟部長說其實勞動部最為人詬病的就是第一他的調查小組不夠公正不夠超然裡面很多就自己人
transcript.whisperx[131].start 4885.017
transcript.whisperx[131].end 4913.829
transcript.whisperx[131].text 所以最後呢很多調查報告不管是在其他的單位或是在勞動部都不了了之變成一個壓力鍋的燜燒導致於有不幸的親身事件所以你有沒有辦法在這邊承諾因為昨天其實不瞞您說下午回去有人就打電話匿名電話進來然後又有寫簡訊的等一下會給你一封信的證本但我們都會一一的經過查證那也希望您可以審慎的處理您可以在這邊承諾
transcript.whisperx[132].start 4914.969
transcript.whisperx[132].end 4940.032
transcript.whisperx[132].text 不要有這個要不要請外部的人或是公證超人的立場來成立所有衛福部相關的調查小組嗎我想我們一定按照規定來處理那時程因為大家關注所以我們把整個兩個月的時程縮成一個禮拜要來完成那這個裡面是相當的詳細是不是請機關署莊署長來報告一下
transcript.whisperx[133].start 4940.892
transcript.whisperx[133].end 4964.203
transcript.whisperx[133].text 報告委員 因為本來規定是兩個月內 因為要做非常多的事情 比如說我們要延展外部的委員還有就進行匿名問卷的調查 根據調查結果 我們要去選取面談的對象 進行面談跟寫報告所以我們大概是用比較寬裕的時間 希望能夠把它完成但是你沒有選外部的人
transcript.whisperx[134].start 4964.363
transcript.whisperx[134].end 4965.484
transcript.whisperx[134].text 我接下來就要告訴第二件事情
transcript.whisperx[135].start 4983.754
transcript.whisperx[135].end 5007.762
transcript.whisperx[135].text 這邊是昨天呢下午有收到電話電話打進來澄清說請我們本辦公室要相信脆上面的留言因為他就是在疾管署其他單位工作的同仁那他是親眼看著這個組長曾經對著同仁罵豬啊等等的那再來呢昨天晚上好晚的時候又接到一封澄清信他是在講說
transcript.whisperx[136].start 5009.122
transcript.whisperx[136].end 5009.582
transcript.whisperx[136].text 他說不只是這個組長
transcript.whisperx[137].start 5026.89
transcript.whisperx[137].end 5049.947
transcript.whisperx[137].text 上刑下校庫立整備組組長是聯合底下的科長檢記集體的霸凌壓榨同仁逼的大家不得不離職掉職降調退休甚至請育嬰假等等的逃離現場不管是工作負荷量大身兼數職人力嚴重不足流動率過高入罵同仁能力差
transcript.whisperx[138].start 5050.567
transcript.whisperx[138].end 5050.767
transcript.whisperx[138].text 委員會委員會委員會委員會
transcript.whisperx[139].start 5077.128
transcript.whisperx[139].end 5079.752
transcript.whisperx[139].text 部長來幫他們陳情陸陸續續一直都有email進來啊簡訊進來等等的
transcript.whisperx[140].start 5096.098
transcript.whisperx[140].end 5115.763
transcript.whisperx[140].text 謝謝委員剛剛提到調查小組一定要公開透明再來昨天其實勞動部違反了一個很大的行政瑕疵中午的時候在這邊告訴我們說他要把分署長免職後來想一想又說可是他沒有這個權限必須要先召開懲戒委員會要召開這個調查會他才有辦法
transcript.whisperx[141].start 5116.903
transcript.whisperx[141].end 5143.878
transcript.whisperx[141].text 搞了一個小時嘛考機會搞了一個小時他說他沒有這個權限後來院長出來道歉了以後晚上他又開始召開這個考機會馬上召開了三小時然後說喔好他要宣布他記兩個大過免職這是嚴重的違反行政瑕疵更慘的是最後這位分署長的律師信就出來了他的律師信是告訴大家說根據我們勞動部的調查報告啊他沒有
transcript.whisperx[142].start 5145.21
transcript.whisperx[142].end 5174.27
transcript.whisperx[142].text 這個直接霸凌的事實但他有霸凌這位不幸往生者的主管然後最後他的律師居然是用勞動部的報告來幫他辯護所以這一點我也希望您之後在處理衛福部的時候可以借勁勞動部千萬要公正超然第二不能有任何的行政瑕疵好嗎你有沒有什麼方向可以告訴我們說一周的調查報告出來以後您大概多久要召開這個考機會因為算一算
transcript.whisperx[143].start 5175.052
transcript.whisperx[143].end 5178.647
transcript.whisperx[143].text 10月28號您應該就會有疾管署的初步報告出來了
transcript.whisperx[144].start 5180.526
transcript.whisperx[144].end 5206.916
transcript.whisperx[144].text 好謝謝委員的指教我非常清楚我再重申我們不容許有任何職場的霸凌所以只要有任何相關的信息我們一定嚴加調查嚴加辦理我想這是那個一定這是最大的原則而且所有相關的部門如果是哪個部門像機關署我們要求最快的適度那後續所以你的考機會你考機會
transcript.whisperx[145].start 5208.917
transcript.whisperx[145].end 5222.669
transcript.whisperx[145].text 就是我們預定下禮拜四會有報告啦那我們會盡量在當天看是不是可以就舉辦考試好那今天也請您參考一下這個陳秦涵因為不只是組長一個人好下一個想要請這個石署長
transcript.whisperx[146].start 5226.707
transcript.whisperx[146].end 5256.39
transcript.whisperx[146].text 這是近期內許多人民關心的議題因為石署長因為邱部長曾經在之前新聞的採訪說到兩年是部長見保費要用三支劍拼改革但是石署長在最近又公開的說在研擬補充保費的三項調整與一般保費來做溝通並且說針對六大類比如說許許多多很辛苦在爭取獎金的這些壽星階級他要分別制定不同的
transcript.whisperx[147].start 5256.51
transcript.whisperx[147].end 5256.89
transcript.whisperx[147].text 立法院第11屆第12會議
transcript.whisperx[148].start 5287.051
transcript.whisperx[148].end 5305.108
transcript.whisperx[148].text 可以給大家一個進程嗎?為什麼會有這樣子不同調的出現?報告委員我想沒有不同調所謂的部長保惠就是我們那個惠利一般保惠啦一般保惠因為這個比較影響層面比較大那至於調整
transcript.whisperx[149].start 5306.289
transcript.whisperx[149].end 5324.368
transcript.whisperx[149].text 補充保費這件事情一直都是我們的策略之一那現在健保署提出一個很可是調整補充保費您要修健保法所以您是意思是說您要左手開始修健保法嗎我們現在都演你我是不是請署署長報告一下
transcript.whisperx[150].start 5324.788
transcript.whisperx[150].end 5340.557
transcript.whisperx[150].text 跟委員報告因為目前健保法的規定那麼補充保費的調漲是跟隨一般保費的費率調動的他是連動而且在補充保費裡面有6項的補充保費費率一樣那這個確實你要把它6項分不同的費率
transcript.whisperx[151].start 5340.677
transcript.whisperx[151].end 5365.46
transcript.whisperx[151].text 所以我們現在研議說是不是應該要脫鉤處理因為這6項補充保費的本質還是有差異有些是比較偏向資本利得有些是勞務所得那目前的話是都綁在一起的那同時它的調動也要跟著一般保費費率調整的時候才能夠調整所以這個我們是希望您是預計什麼時候要開始著手修這個健保法
transcript.whisperx[152].start 5365.84
transcript.whisperx[152].end 5381.217
transcript.whisperx[152].text 目前都內部都已經在研議這個修法的方向那到一個階段會再跟外界做溝通之後再進入到修法的所以你的意思是說等你們調整完以後大概也就是部長講的兩年內啦所以大概是兩年後啊也需要一點時間
transcript.whisperx[153].start 5382.438
transcript.whisperx[153].end 5394.165
transcript.whisperx[153].text 那我們會再繼續跟你一起研擬這件事情那最後一題最後一題是想問說邱部長今天你有列在公務預算中用醫政業務這個執行的韌性國家醫療整備計畫看起來是114年編列了17.52
transcript.whisperx[154].start 5401.63
transcript.whisperx[154].end 5430.289
transcript.whisperx[154].text 總數其實是4年啊他是從113年連續4年總數是76.6億那我們不管是透過電話詢問或是詢問主計總處等等的都說是不能公開的一個機密那如果是機密的話我也想請您稍微講一下是你們採購合約的機密還是機密的預算還是涉及機密的事項因為我們對於你這個任性國家醫療準備計畫是一無所知
transcript.whisperx[155].start 5431.59
transcript.whisperx[155].end 5459.693
transcript.whisperx[155].text 好謝謝那我是不是先請醫事師回答一下這個任性醫療國家的計畫其實是主要是針對大型或特殊災難事件的時候我們重新檢視過我們自己的應變的量能從921之後其實剛開始是天然災害可是隨著極端氣候然後甚至是說我們看到的那個天然災害也變得嚴峻加劇了所以在這個地方上面做一個強化
transcript.whisperx[156].start 5460.213
transcript.whisperx[156].end 5475.623
transcript.whisperx[156].text 您說天然災害但是你很快的113就開始招標你在招標的上面是寫因應複合式災難還有全球軌跡多變的局勢未來台海衝突事件以及不可預期的災難災害必須加強戰場的災難醫療整備這個是你們招標的對於這個計畫講的
transcript.whisperx[157].start 5484.448
transcript.whisperx[157].end 5505.04
transcript.whisperx[157].text 對 因為就是說所有的應變裡面其實這幾個都是我們過去比較沒有經驗的所以您的意思是說在113 114之前您覺得我們國家醫療韌性對於戰爭的支撐比較短那經過這個計畫你們想要再把它拉長讓我們韌性再更久一點
transcript.whisperx[158].start 5505.8
transcript.whisperx[158].end 5517.065
transcript.whisperx[158].text 不是是我們所有對創傷這一塊的處理的量能然後跟經驗其實相對上面都需要做提升所以才會是說這個我們寫的是一個最嚴重的可能會是戰爭可是對於就是說我們看到了極端氣候產生的包括了
transcript.whisperx[159].start 5525.269
transcript.whisperx[159].end 5525.289
transcript.whisperx[159].text 委員長
transcript.whisperx[160].start 5555.51
transcript.whisperx[160].end 5570.687
transcript.whisperx[160].text 他們還是把它一項一項的寫出來了對 所以環境部那邊的話其實是透過最近其實像COP29就在講的是氣候調節的這一塊增加體系的韌性不是不是 他們內容其實也跟你們差不多
transcript.whisperx[161].start 5571.689
transcript.whisperx[161].end 5571.709
transcript.whisperx[161].text 委員會議
transcript.whisperx[162].start 5586.65
transcript.whisperx[162].end 5587.11
transcript.whisperx[162].text 委員指教
transcript.whisperx[163].start 5613.632
transcript.whisperx[163].end 5630.481
transcript.whisperx[163].text 好 謝謝陳委員 謝謝部長繼續我們請王一鳴委員質詢好 謝謝主席 我們是不是有請邱部長委員長
transcript.whisperx[164].start 5637.557
transcript.whisperx[164].end 5643.9
transcript.whisperx[164].text 部長好首先我要問你有關於食安的問題部長你有在吃薑黃粉嗎你有吃咖哩嗎我很喜歡吃咖哩很喜歡吃咖哩我要跟你講的就是我們蘇丹紅的食安問題報不完從辣椒粉到咖哩粉到現在最新的是薑黃粉
transcript.whisperx[165].start 5662.571
transcript.whisperx[165].end 5684.563
transcript.whisperx[165].text 一直都出現問題完全都沒有在市面上蘇丹紅沒有在市面上完全消失11月4號我才質詢有關於咖哩粉的事件然後你們才去查查了這個薑黃粉的業者然後查了22家現在爆發出來德和公司的薑黃粉有蘇丹紅
transcript.whisperx[166].start 5686.144
transcript.whisperx[166].end 5704.066
transcript.whisperx[166].text 一萬公斤已經售出五千七百多公斤.你們下架回收的才一千八百六十一公斤.很多人都吃下肚了.你們現在的查法就是委員報到哪裡.你們才查到哪裡都沒有超前部署
transcript.whisperx[167].start 5705.628
transcript.whisperx[167].end 5722.558
transcript.whisperx[167].text 這個薑黃粉現在有非常多的長輩他們覺得是很好的養生食品所以都買這種大瓶的回來加在飯裡面或者是沖泡來喝他覺得吃越多越健康是養生的
transcript.whisperx[168].start 5723.098
transcript.whisperx[168].end 5738.285
transcript.whisperx[168].text 所以越是這樣子的一個標榜養生的食品你就應該要更仔細的把關啊但是到目前為止你們現在薑黃粉你們去查的是印度的公司進口
transcript.whisperx[169].start 5739.164
transcript.whisperx[169].end 5763.382
transcript.whisperx[169].text 對不對你們現在邊境姜黃粉你們目標對象是印度但是你看看這個報關資料只有印度進口姜黃粉嗎沒有喔目前包括越南中國馬來西亞印尼西班牙斯里蘭卡我們所看到的報關資料這6個國家也都有進口姜黃粉
transcript.whisperx[170].start 5764.102
transcript.whisperx[170].end 5781.329
transcript.whisperx[170].text 那你們之前因為印度的出問題你們就只監控印度那現在越南變成是最大宗我就問你那越南進口的薑黃粉你能確保他的品質是100%沒有問題你們有逐批查驗嗎有或沒有
transcript.whisperx[171].start 5782.691
transcript.whisperx[171].end 5797.392
transcript.whisperx[171].text 包委員我們當然印度的從這一年來就前面監視查驗蘇丹紅我問你越南現在有沒有監視我不是請莊署長回答一下有嗎我看是沒有吧
transcript.whisperx[172].start 5800.557
transcript.whisperx[172].end 5824.805
transcript.whisperx[172].text 報告委員剛剛委員有提醒我們其實上次那個查到第一剛開始薑黃出問題的時候是因為那個特調咖啡特調咖哩粉然後後來我們去清查它裡面的所有原料才發現是薑黃粉那薑黃的時候跟委員特別報告一件事情是我們那天查出來以後我們就回溯了3年之內所有進來的印度的薑黃粉
transcript.whisperx[173].start 5825.845
transcript.whisperx[173].end 5846.646
transcript.whisperx[173].text 然後我們查了22批中間只有一批實際上是出現問題所以我們就開始回溯他們的這些東西對我現在問你就是你回溯的是印度那越南現在又變成你的大宗從10月份的資料看起來越南比印度進口的還要多那請問越南你們就只監控印度越南你們現在有去抽驗嗎越南的有沒有問題
transcript.whisperx[174].start 5848.927
transcript.whisperx[174].end 5877.906
transcript.whisperx[174].text 我們現在同仁正在確定我們現在如果如果他現在進來的時候我們都會開始加強抽菸批先從會從後市長這邊開始查起所以你現在還沒有掌握嗎好我就是要提醒你們就是不要委員問一件事情你們查一件你們應該要有全面性的這樣子去監控跟整頓我要再次強調目前薑黃粉是很夯的這個對於老人家來講他認為在保健方面他們是很相信的
transcript.whisperx[175].start 5878.266
transcript.whisperx[175].end 5899.347
transcript.whisperx[175].text 所以他不應該再去添加不必要的添加包括蘇丹紅在裡面你知道才能確保這一些長者很重視養生人的健康我要求的是你們應該要全面像這樣子的一個產品你已經有查出第一批你就應該要全面性的這些進口的來源你通通都要查清楚要嚴格的把關做不做得到
transcript.whisperx[176].start 5899.747
transcript.whisperx[176].end 5928.156
transcript.whisperx[176].text 做得到報告委員我們現在現在會列多少所有的薑黃粉不同不管哪一國進口我們現在已經全力列入監視查驗好全面的去監視查驗我們要確保這個是大家吃的是沒有問題的接下來我要問有關於這個輸液的問題這個部長我讓你看一張很誇張的班表這個是某一家藥廠他9月份跟地方政府提出來他的加班需求
transcript.whisperx[177].start 5929.757
transcript.whisperx[177].end 5956.317
transcript.whisperx[177].text 這當中你知道嗎我看到最驚悚的是有人加班時數要高達150.5到160小時他跟地方政府申請他有員工需要加班150到160小時有一個人是這樣子超過100人的總共有6個人你知道一個勞工如果加班超過150小時是什麼概念嗎
transcript.whisperx[178].start 5957.037
transcript.whisperx[178].end 5971.9
transcript.whisperx[178].text 每天工作要長達12個小時加上週休二日都不要休都要上班是這樣的狀態就等於他變成機器人就是整整一個月都不能休息的狀態
transcript.whisperx[179].start 5973.407
transcript.whisperx[179].end 5997.372
transcript.whisperx[179].text 你有掌握嗎有藥廠9月份跟地方政府申報他需要的是勞工這麼過勞超時的加班來趕輸液但是你們對外說輸液通通夠沒有問題但是有藥廠是用這樣子的方式在幫忙趕工而這個是你們自己去要求勞動部幫你們解套
transcript.whisperx[180].start 5998.132
transcript.whisperx[180].end 6001.833
transcript.whisperx[180].text 請勞動部放寬條件運用的是在這種天災事變突發事件勞基法第32條第4項跟第40條的特殊加班幫你們開一個後門讓藥廠可以打破天花板然後要求勞工不斷加班只為了趕你們的輸益
transcript.whisperx[181].start 6024.341
transcript.whisperx[181].end 6040.066
transcript.whisperx[181].text 那你們對外又宣稱說輸液是夠的但是有藥廠提出這麼誇張的一個加班時數這個到底是為什麼部長你有掌握嗎其實這整個過程我們相關的部門都非常的努力我也都有掌握狀況那我們當然嚴格的就是說加班只能
transcript.whisperx[182].start 6044.697
transcript.whisperx[182].end 6066.41
transcript.whisperx[182].text 為了人工輸液我們當然就是一定要在勞動部合可的情況之下這是我們基本的要求自己說這樣的一個努力之下的確是度過了一個困難的艱苦的一個時期雖然現在的使用上有些醫療驗手還是因為包裝大小的問題
transcript.whisperx[183].start 6068.051
transcript.whisperx[183].end 6076.136
transcript.whisperx[183].text 還是有一些困擾但是至少量方面是夠的啦那至於說是不是有這樣的掌握我們超過這麼多是不是莊市長有沒有
transcript.whisperx[184].start 6077.661
transcript.whisperx[184].end 6100.375
transcript.whisperx[184].text 這個有啊這個我調到資料就是這樣報告委員這一次因為那個輸液的問題我們請那個臺灣的那個生產的藥廠加班那這件事情我們也請勞委會勞動部同意加班但是我們那個整個文來的時候我們是希望他在符合勞基法的要求之下那這幾家的他特使操作加班這個
transcript.whisperx[185].start 6101.195
transcript.whisperx[185].end 6126.722
transcript.whisperx[185].text 我們那時候是因為勞動部下去做勞檢的時候發現他們的時數過高那現在才開始裁罰那其他的因為這次所有的加班的時數其實我們那時候都有跟廠商講希望他還是符合勞基法的情況之下那你要符合勞基法你就不應該去運用天災事變突發事件這一條啊你知道這一條是太上皇條款你只要運用了之後他是沒有上限的
transcript.whisperx[186].start 6128.513
transcript.whisperx[186].end 6136.187
transcript.whisperx[186].text 那所謂你們的上限你們希望符合勞基法是多少按照現行勞基法最高一個月如果工會同意的話才到54小時
transcript.whisperx[187].start 6138.786
transcript.whisperx[187].end 6164.311
transcript.whisperx[187].text 那你們這一個你們用的是天災事變所以是等於是沒有天花板當然就會變成是這個樣子啊所以你們勞動部難死其救啊你們造成是基層的這一些藥廠的勞工過勞的一個情況而你們通通都沒有把關他們這麼的辛勞就是為了應付你們輸液的問題當時的一個處置不大你們後知後覺9月份這個頒表你有看過嗎你們知道嗎
transcript.whisperx[188].start 6167.967
transcript.whisperx[188].end 6175.732
transcript.whisperx[188].text 也渾然不知你還說你們有監督那你們根本我要求你們去看實際的狀況我只關心這一個勞工一個月150小時以上的加班他現在人還好嗎有沒有爆肝你們作為衛福部好好去關心一下我們馬上來關心來瞭解
transcript.whisperx[189].start 6188.221
transcript.whisperx[189].end 6204.761
transcript.whisperx[189].text 對啊 這個就是一個非常誇張嘛但是一切都是因你們而起嘛你們輸液就是缺乏然後你們又讓勞動部去發了一個文而且還持續到10月31號你們當時發出的文它可以運用突破勞基法的這一個第32條第4項第40條
transcript.whisperx[190].start 6207.684
transcript.whisperx[190].end 6212.329
transcript.whisperx[190].text 還到10月31號所以這當中我要你們去回溯去關照到底有多少勞工在這個過程其實是爆肝的幫你們去趕輸液看你們要怎麼去去這個勞工你們他的身體健康你們衛福部好好去關照一下我覺得這個問題其實是蠻誇張的另外一個
transcript.whisperx[191].start 6226.483
transcript.whisperx[191].end 6249.102
transcript.whisperx[191].text 既然輸液問題已經解決了你們現在在預算裡面輸液的預算從2.5億要暴增到11億為什麼你們說現在輸液已經沒有問題了9月永豐也已經開始恢復供應了那為什麼你還要暴增11億你這個是要打算要大量還必須從國外進口嗎你們原來只需要2.5億為什麼暴增
transcript.whisperx[192].start 6253.15
transcript.whisperx[192].end 6281.053
transcript.whisperx[192].text 我想這有兩個原因就是因為我們當然沒辦法完全掌握到國內或國外進口這個量的一個數目第二個就是我們必須因為過去的價錢的確是太低那經過供應會議還是討論調整嘛調整了以後就會那個預算當然就會那我就問你我們現在國內供應輸入的量到底夠不夠嗎
transcript.whisperx[193].start 6284.928
transcript.whisperx[193].end 6306.556
transcript.whisperx[193].text 你們對外都說夠那我就問你到底現在足不足夠應該還是有穩定的一個國外的輸入加上國內的那我們一直在輔導國內的趕快恢復所以現在即使永豐加入生產之後也還不夠他還沒有量產現在已經11月了還不夠
transcript.whisperx[194].start 6309.62
transcript.whisperx[194].end 6326.582
transcript.whisperx[194].text 跟委員報告目前還是需要仰賴那個專案輸入到目前為止還是這樣那能夠供應到這個第一線的使用還沒有辦法完全有國內國產像過去都是國產供應沒有這個專案輸入現在還仍然需要專案輸入
transcript.whisperx[195].start 6327.654
transcript.whisperx[195].end 6340.623
transcript.whisperx[195].text 好如果是這樣子的話這一筆預算我會嚴格監督喔因為你們從今年最迫切需要是2.5億那你明年照道理來講我們國產的應該加入不需要那麼大的量結果你還暴增經費變成11億顯然這個是有浮邊的嫌疑喔
transcript.whisperx[196].start 6344.606
transcript.whisperx[196].end 6363.655
transcript.whisperx[196].text 這個我們一定會嚴格把關喔最後我要提醒部長的就是不可以因為你的趕工去壓迫這些藥廠基層的勞工甚至讓他爆肝我看到這種超過100小時的加班我覺得是不可思議而如果你們都沒有出面去處理我覺得這個就是失職
transcript.whisperx[197].start 6364.555
transcript.whisperx[197].end 6389.542
transcript.whisperx[197].text 我們會出面處理我跟委員再報告一下那個11億那個原來其實是在健保裡面那因為政府體諒到說讓健保不要太壓力太大所以才特別讓11億變成公務預算但這是輸液啊對就是輸液這件事情所以你原本輸液就需要11億嗎原來我們11億是要在健保的總額裡面到預算的時候我們會再來填好這個要先說清楚
transcript.whisperx[198].start 6390.362
transcript.whisperx[198].end 6406.589
transcript.whisperx[198].text 然後政府先生很好意就是想說不要就是播出那個我沒有意見但是如果你過度去膨脹你的輸液進口的這個預算我有意見我想那個所有的價錢都一定經過供你會議的專家大家同意我們預算的時候會嚴格來監督謝謝
transcript.whisperx[199].start 6413.117
transcript.whisperx[199].end 6437.484
transcript.whisperx[199].text 好謝謝黃委員那接下來我們請邱振興委員質詢那我們在林淑芬委員花園完畢後休息10分鐘好主席好我們還是有請我們的邱部長委員好部長好
transcript.whisperx[200].start 6440.005
transcript.whisperx[200].end 6461.019
transcript.whisperx[200].text 這個昨天勞動部勞動力發展署北分署霸凌的事情昨天河北山部長辭職負責但今天又傳出我剛剛看了很多委員也在提這個案子就是機管署某組長也有霸凌的同仁的情形情況與謝宜龍的狀況非常相同你知道這件事嗎
transcript.whisperx[201].start 6465.689
transcript.whisperx[201].end 6467.671
transcript.whisperx[201].text 為什麼要改?你為什麼要改我的指令?為什麼要改?
transcript.whisperx[202].start 6491.574
transcript.whisperx[202].end 6510.71
transcript.whisperx[202].text 他其實已經有他原本就已經你寫的可以嗎你有這個時間嗎我會這樣做我是神經病嗎你沒有去開幾組的會你怎麼看做指令下次我不要跟你們開會了什麼意思
transcript.whisperx[203].start 6517.363
transcript.whisperx[203].end 6517.663
transcript.whisperx[203].text 好,部長這您聽一下,這聲音你認得嗎?
transcript.whisperx[204].start 6537.315
transcript.whisperx[204].end 6539.737
transcript.whisperx[204].text 你會不會依照勞動部來處理?
transcript.whisperx[205].start 6554.059
transcript.whisperx[205].end 6557.482
transcript.whisperx[205].text 一定會啊,我們已經馬上啟動調查我們一個禮拜內會有調查,這個莊署長剛剛已經有我請部長要加快啦,因為我認識部長也沒有多久我希望你能夠留下來好不好
transcript.whisperx[206].start 6570.231
transcript.whisperx[206].end 6594.241
transcript.whisperx[206].text 我們一定不容許有職場霸凌的現象這跟個人不是個人的問題是說整個國家就應該要這樣子我們才是一個幸福好啦那我們就回到今天的主要的議題那昨天本土小牙醫聯盟跟海外牙醫的家長在高等法院外面為了你吵架你知道嗎
transcript.whisperx[207].start 6596.413
transcript.whisperx[207].end 6600.298
transcript.whisperx[207].text 報告委員跟我應該我只是代表在把過去長期的爭議
transcript.whisperx[208].start 6606.249
transcript.whisperx[208].end 6625.42
transcript.whisperx[208].text 然後到我這階段我當然是用最大的誠意最大的努力來解決一直以來我們台灣社會對於撥撥醫生不只是牙醫的部分直接一點就是說拿錢去波蘭醫學店洗學歷之後回來考照的醫生大家普遍都會覺得害怕
transcript.whisperx[209].start 6626.3
transcript.whisperx[209].end 6643.523
transcript.whisperx[209].text 那部長你認為臺灣人民的健康守護者還是波波醫生的你認為你是臺灣人民健康的守護者還是波波醫生的守門員你的立場跟態度是什麼我必須要再重申我完全沒有特定的對哪一個
transcript.whisperx[210].start 6644.404
transcript.whisperx[210].end 6660.22
transcript.whisperx[210].text 群組的一個部長那你可不同意中間有非常非常多的我也不曉得包括111年6月我們在這邊用心的來通過一個議事法的修法那個是我前程在這邊讓他那個法通過
transcript.whisperx[211].start 6661.141
transcript.whisperx[211].end 6661.301
transcript.whisperx[211].text 好的醫療品質
transcript.whisperx[212].start 6684.565
transcript.whisperx[212].end 6696.223
transcript.whisperx[212].text 有嚴格的教育養成我相信部長也認同吧那台灣的醫生的養成跟波蘭醫生的養成哪一個更嚴謹你覺得雖然我們有修法的沒有錯
transcript.whisperx[213].start 6699.386
transcript.whisperx[213].end 6727.908
transcript.whisperx[213].text 但你覺得臺灣的臺灣的比較嚴謹還是國外的比較嚴謹我們所有讓他在臺灣行醫的醫師不管他從哪個醫學院畢業我們基本要求都要讓他有有有品質能夠照顧人民的健康這是基本要求那至於說要比較良因為我我家裡的第二代齁那個也很多人當醫師年輕了一輩有11個11億個當練醫學系通通是本土醫
transcript.whisperx[214].start 6729.74
transcript.whisperx[214].end 6748.111
transcript.whisperx[214].text 所以我沒有立場去特別要支持我們來討論一下啦就是醫生的考試我一個臺大的醫學院的老師我當然覺得我們臺灣的品質非常的嚴謹我們的教育品質非常的嚴謹那我們來討論一下醫生的考試111年你剛剛講的修了醫師法第四之一條從112年開始用國外學歷參加考試
transcript.whisperx[215].start 6756.196
transcript.whisperx[215].end 6782.036
transcript.whisperx[215].text 要先經過教育部學歷徵試通過才能參加醫師考試那國內要念醫學院門檻本來就比較高一點通常念到大三大四就會參加第一階段的國考那經過實習之後畢業後再考第二階段的國考才有考試及格證書號申請到衛福部的醫師證書之後才能夠算一個合格的醫師這樣沒錯吧
transcript.whisperx[216].start 6786.193
transcript.whisperx[216].end 6810.338
transcript.whisperx[216].text 但是現在的問題裡面就是事之一裡面也有說兩個條件不用經過教育部學歷增試通過第一個就是在當地取得合法資格且實際執行臨床業務5年以上第二個112年12月31日前入學的也不用現在的問題是怎麼確認他在當地實際這個臨床服務這個業務5年以上
transcript.whisperx[217].start 6815.322
transcript.whisperx[217].end 6830.506
transcript.whisperx[217].text 還有一千多名的波波醫生不用不適用心法你們準備讓這些一千多位這個波波醫生快速通關嗎好我想這個醫事師師長很清楚是可不可以請他回報告跟大家報告
transcript.whisperx[218].start 6831.124
transcript.whisperx[218].end 6858.914
transcript.whisperx[218].text 委員好對於就是說在這個考試制度的把關的部分的話過去在還沒修法之前是一個裁認的原則所以其實對於就是說我們把裁認原則修在議事法實行細則這也近日快要將要公佈所以才會是說在把關的部分其實不裡面這邊我們的方向程度之前部長就對外宣誓的是說其實我們本來就是採取嚴格的方式來做處理
transcript.whisperx[219].start 6859.914
transcript.whisperx[219].end 6887.076
transcript.whisperx[219].text 我覺得這樣子啦就是舊法不是用學歷來徵是不用學歷來徵試那他們就應該用106年頒布的學歷認證去共識去認證我覺得是這樣不管用新法還是舊法都應該有兩道門檻我覺得應該這樣子會比較嚴謹那我也看到我們這個在當初我們修醫師法的時候民進黨委員一共通過七個附帶決議
transcript.whisperx[220].start 6888.357
transcript.whisperx[220].end 6900.488
transcript.whisperx[220].text 那其中有5個部長都是連署人有一個提案其中有一個提案就是我們波波媽的委員部長還記得連署什麼嗎因為我全程在
transcript.whisperx[221].start 6902.324
transcript.whisperx[221].end 6924.231
transcript.whisperx[221].text 互代決議是提供多元化的一個意見我想大家委員都很清楚那我當然就是要三個委員才能成案所以我們當然是說如果有意見就提出來會議討論要到成案我只是連署讓他這個意見可以來討論而已我並沒有去提案
transcript.whisperx[222].start 6925.291
transcript.whisperx[222].end 6928.333
transcript.whisperx[222].text 但我發現我們現在有一個優化偏鄉醫療的計畫我怎麼看都感覺到你這個跟這個就是為了撥撥牙醫開的一個很順暢因為這個優化偏鄉其實是長久的事情
transcript.whisperx[223].start 6943.743
transcript.whisperx[223].end 6958.913
transcript.whisperx[223].text 那委員可能看到就是有關於牙醫這個部分其實他其他部分是非常多要做的包括醫療轉後送等加強量能那這個部分我們政府經過這段時間的討論已經在這裡面上禮拜重申我想總統也有提到每年不會超過50名第一個每年50名那個結論不會提高
transcript.whisperx[224].start 6972.821
transcript.whisperx[224].end 6997.651
transcript.whisperx[224].text 我們一定按照112年6月通過的醫師法的修法去嚴格執行那第三個就是有關於偏鄉計畫的話我們在牙醫只限你55個沒有牙醫師的鄉鎮因為他們那個地方的確真的是需要你現在提到我們預算是不是要調整因為預算來處理這個
transcript.whisperx[225].start 6999.281
transcript.whisperx[225].end 7000.362
transcript.whisperx[225].text 這些偏鄉本來醫療資源就比較少
transcript.whisperx[226].start 7026.061
transcript.whisperx[226].end 7041.887
transcript.whisperx[226].text 那我不希望我們部裡面拿這些偏鄉的我們的這個國人來當實驗的一個地方讓我們這些伯伯牙醫能夠順利的拿到這個醫師執照我希望衛福部能夠更嚴謹的來看守這樣可以嗎我們這個計畫會做調整
transcript.whisperx[227].start 7044.008
transcript.whisperx[227].end 7062.023
transcript.whisperx[227].text 那另外我們苗栗這個9個衛生所也非常缺醫生那真的這個醫生也非常的不足非常需要部裡面的資源請部長多多協助也希望我們會跟縣政府這邊來一起來討論看怎麼一起來解決好的謝謝謝謝部長謝謝好謝謝邱委員謝謝部長包委員會我們在抒情前執行完後休息10分鐘
transcript.whisperx[228].start 7079.953
transcript.whisperx[228].end 7092.142
transcript.whisperx[228].text 接下來我們請朱新泉委員謝謝 謝謝前委員部長還有醫事司長還有口腔師司長部長辛苦了我看你在回答問題非常小心非常好我昨天問那個勞動部部長
transcript.whisperx[229].start 7109.961
transcript.whisperx[229].end 7121.165
transcript.whisperx[229].text 昨天就任滿半年昨天11月12日你自己打幾分我從來不會為自己打分次我只知道要繼續努力這樣子
transcript.whisperx[230].start 7129.744
transcript.whisperx[230].end 7154.863
transcript.whisperx[230].text 你也知道衛福部很忙的,忙到沒什麼忙衛福部加大越大,人又那麼多部立醫院就只有所屬,怕死人太多所以不會出事我才奇怪出事才剛剛好而已所以我還是跟大家一起戰戰兢兢那我現在今天要跟你延續講這個
transcript.whisperx[231].start 7156.984
transcript.whisperx[231].end 7182.692
transcript.whisperx[231].text 國外醫師啦我們不要講波波啦講波波有點鄙視還有看不起人家我深深的不油然我今天在這邊很震動的講我不偏袒本土的牙醫啦還有波波回來的牙醫講這樣是很難聽這個問題是從馬英九時代到現在都一直延續那我現在請問你一個問題你們去年修改
transcript.whisperx[232].start 7183.992
transcript.whisperx[232].end 7194.462
transcript.whisperx[232].text 醫療法之後那今年出去念書的念醫學跟牙醫他們要報備嗎有沒有減少不用報備
transcript.whisperx[233].start 7195.994
transcript.whisperx[233].end 7213.151
transcript.whisperx[233].text 補充一下因為就學是個人自由所以這個地方是不用報備是回來考試的時候申請這邊會從那個考選部跟教育部這邊學歷認證這邊到底有沒有問題可不可以考試是從那邊開始有資料以上
transcript.whisperx[234].start 7213.892
transcript.whisperx[234].end 7239.702
transcript.whisperx[234].text 所以你沒有在關 你要去哪裡不管就對了但是從今年入學的我跟大家報告從今年入學到國安院醫生回來都必須要考鑑定考試鑑定考試及格力鑑定對Pretest不管你是從九大地區從美國英國回來都要嘛那我是覺得台灣有點開倒車啦
transcript.whisperx[235].start 7241.653
transcript.whisperx[235].end 7260.808
transcript.whisperx[235].text 以前在馬英九時代是九大地區回來的不用考pre-test直接可以考第一階段Part 1嘛對不對啊Part 1考過之後就可以當實習實習一年之後再臨床醫學考過OSCE考過就可以考Part 2嘛
transcript.whisperx[236].start 7261.67
transcript.whisperx[236].end 7268.093
transcript.whisperx[236].text 趴住之後就拿到醫師證書就進入PGY現在兩年以後做過全年醫師全年律師隊部長也做過管道要比較高全世界的議員這麼多以前九大地區的時候是包括歐盟
transcript.whisperx[237].start 7286.909
transcript.whisperx[237].end 7293.673
transcript.whisperx[237].text 包括歐盟那舊的歐盟是有15個國家後來有新的歐盟加進去像
transcript.whisperx[238].start 7294.827
transcript.whisperx[238].end 7323.337
transcript.whisperx[238].text 波蘭、匈牙利、羅馬尼亞、保加利亞、加勁、捷克等等有10個國家所以現在才有15加10有25個國家那我們不能認定什麼舊歐盟跟新歐盟歐盟是一體的所以才搞成現在這個問題嘛不然這樣就對了阿中華民國的國民只要他中華民國籍他就要受憲法的保障
transcript.whisperx[239].start 7324.568
transcript.whisperx[239].end 7347.447
transcript.whisperx[239].text 他因為婚姻遷徙或者是父母親我認識的很多外交官很多那個外貿協會的他們父母親派出在國外啊 孩子就一定在那裡讀書啊啊 帶他回來他如果有讀什麼學他回來可不可以說他如果在法律學要回來課就輸你可不可以不要去課
transcript.whisperx[240].start 7348.368
transcript.whisperx[240].end 7349.189
transcript.whisperx[240].text 臺灣的本土的醫生畢業的當然很強啊因為
transcript.whisperx[241].start 7375.663
transcript.whisperx[241].end 7399.707
transcript.whisperx[241].text 大家都這樣說過來,很累但是,有沒有你就是世界第一名不是耶我在考選部那邊也當過委員那個國外,像美國紐約大學回來的牙醫系的他想回來我看他的學歷、成績非常好啊這種不能讓他回來也限制他不能實習胡說八道所以我們講事情要講,大家聽得下去
transcript.whisperx[242].start 7404.946
transcript.whisperx[242].end 7412.953
transcript.whisperx[242].text 你也只剝剝剝剝,一天到晚都剝剝,這樣被人鄙視,獵巫,說不值一提,禮拜天又要遊行,然後我們黨團一直表演表示意見,我們,我也沒有在這邊,也沒有在那邊,我們比較公正,我們酒酥冷酥嘛,對不對,那你回來的,
transcript.whisperx[243].start 7427.635
transcript.whisperx[243].end 7446.155
transcript.whisperx[243].text 從今年在國外不管你是在美國在英國在哪裡你念醫學院醫學系回來台灣都要考鑑定考試嘛PRE-TEST是很難過的呢及格率我看還沒有到10%喔有一年我給他查才6%啊牙醫是6%嗎牙醫是6%嘛那很夭壽我告訴你齁
transcript.whisperx[244].start 7450.762
transcript.whisperx[244].end 7463.247
transcript.whisperx[244].text 好啦那今天這樣也是唸了然後回來趴萬也考過了然後現在在那邊等待實習然後你就說我一定要一年只能50個我前幾天到離港有一個在賣牛肉麵的阿嬤桑 她女兒就是去波蘭塔亞裔回來結果也趴萬課過了
transcript.whisperx[245].start 7477.022
transcript.whisperx[245].end 7480.523
transcript.whisperx[245].text 所以說那波蘭那波蘭特赤都好惹人好笑 錯啦 不一定是這樣那小孩子有意願 媽媽就站在那裡去託 要考過囉我說你現在在幹嘛 他說現在在賣化妝品我說怎麼了 他說在等啊 等實習啊我說你要等多久 他說他算成要等8年
transcript.whisperx[246].start 7504.546
transcript.whisperx[246].end 7517.301
transcript.whisperx[246].text 請你備你所以這個也沒道理啦所以這個是人家考過在那邊等待實習的那你把他踐踏把他汙名化然後讓他不能實習
transcript.whisperx[247].start 7519.045
transcript.whisperx[247].end 7536.963
transcript.whisperx[247].text 部長阿你要怎麼說你也很小心要回答阿我想這個都有歷史的一個演變阿我想剛剛召委真的我已經非常了解到整個脈動阿那我們都是在解決這些長期的爭議那當然以大家的
transcript.whisperx[248].start 7538.751
transcript.whisperx[248].end 7549.975
transcript.whisperx[248].text 我想國際牙醫這邊當然是不滿意50名非常的限額那我們的本土牙醫這邊當然是覺得希望降低我想這個一直多年來一直在爭議這個問題我講兩個例子
transcript.whisperx[249].start 7553.656
transcript.whisperx[249].end 7568.538
transcript.whisperx[249].text 我們馬來西亞的臺灣人喔欸 華僑回來臺灣念書念高雄醫學院念完在我們醫院在長庚然後到長衛科專科醫師然後帶娶臺灣老婆回到馬來西亞
transcript.whisperx[250].start 7570.22
transcript.whisperx[250].end 7579.473
transcript.whisperx[250].text 當然這在台灣唸書也是國外嘛馬來西亞就承認台灣的意識之道 免課但是這條路你要去偏鄉給他六年所以他就乖乖的從某處走到東馬
transcript.whisperx[251].start 7586.503
transcript.whisperx[251].end 7610.098
transcript.whisperx[251].text 去沙羅園 去端麥 去做醫生 現在正在做 現在做第三年他覺得放棄臺灣的常委和專科醫師 臺文也不錯他照顧他 一直去 他更加有前途 去發展所以各國的 不一樣的平和制度 考試制度 或者是認定制度 我們都尊重
transcript.whisperx[252].start 7611.301
transcript.whisperx[252].end 7626.974
transcript.whisperx[252].text 所以不同的國家的認定方式我們自己有自己的方法這個在當市長的時候你們都通過了嘛市長的時候另外一個我講更嚴肅的我們的中醫市長以前中醫
transcript.whisperx[253].start 7632.413
transcript.whisperx[253].end 7653.357
transcript.whisperx[253].text 中醫師沒考的時候中醫師是用特考捏特考是什麼意思我們年輕人可能都忘光了搞不好你們要出生啦中醫師可以去考檢定考試考完檢定考試就等於是高等檢定考試考過之後你就有資格去考中醫師特考結果呢會念書都考得上欸 那種會有幾個中醫特考會有幾個幾千個
transcript.whisperx[254].start 7665.458
transcript.whisperx[254].end 7681.703
transcript.whisperx[254].text 中醫特考過的人數目前大概是佔整個中醫職業人數的4成多4成多 聽好 以前更多還要扣到都什麼種的 書磚壁咬不下 或是軍裝壁咬不下因為他那要背 要托 背到要死 中醫的東西 要我托不下來 這樣扣過
transcript.whisperx[255].start 7690.932
transcript.whisperx[255].end 7701.335
transcript.whisperx[255].text 課過後他課高等檢定考試課過後他就課中醫特考課過後他就中醫書了喔對不對那十尊比較的老師都教他讀書喔這樣他真的要做中醫書請問他的醫學的訓練夠嗎
transcript.whisperx[256].start 7707.799
transcript.whisperx[256].end 7735.736
transcript.whisperx[256].text 所以我們中醫中醫衛生部才把他們一個一個都找去中國醫藥大學去專門做醫師養成教育基礎醫學上都在幫忙這個就是時代的產物那現在呢要考沒有中醫特考了對不起現在只有中醫系政科的才可以考對不對這樣對不對是是是所以中藥三也一樣頂頂所以我是覺得這一件事情
transcript.whisperx[257].start 7736.476
transcript.whisperx[257].end 7758.097
transcript.whisperx[257].text 國際議員議員
transcript.whisperx[258].start 7758.652
transcript.whisperx[258].end 7765.195
transcript.whisperx[258].text 在排隊的6、4、56、8幾個6、4、5排隊的6、8幾個要怎麼解決你也不能幫6、9所以是一個高難度的問題連總統也要怕死賴總統你本身是好意思的
transcript.whisperx[259].start 7776.909
transcript.whisperx[259].end 7779.752
transcript.whisperx[259].text 臺灣的護衛醫系還是臺灣的護衛醫系獲得到國外訓因為婚姻遷徙什麼什麼什麼一大堆因素我不知道啦
transcript.whisperx[260].start 7798.189
transcript.whisperx[260].end 7810.315
transcript.whisperx[260].text 反正只要他們有學歷回來,我們就要面對啦,就全部排斥,我不為誰啦,但是我們還是要解決問題啦
transcript.whisperx[261].start 7812.335
transcript.whisperx[261].end 7838.629
transcript.whisperx[261].text 我們會勇於面對勇於認罪勇於面對勇於面對這樣的長久下來的一個這就是我們政府跟專業團體的責任因為希望真的在提供民眾最好的一個醫療品質跟環境以外怎麼樣解決長期的紛爭如果舊的問題我們是不是用更好的方法更新的方法來解決
transcript.whisperx[262].start 7840.551
transcript.whisperx[262].end 7857.753
transcript.whisperx[262].text 其實這一段期間我們也跟本土小孩做了最公開坦誠的一個互動也修改了它的內容所以譬如說偏鄉者現在就不會去做任何實習的這個部分這個有一點違反剛剛蘇昭偉所提的
transcript.whisperx[263].start 7858.615
transcript.whisperx[263].end 7874.769
transcript.whisperx[263].text 一個那個但是沒辦法因為這個這個我們為了減少爭議趕快大家好好的去洗衣去行衣那個不要讓讓社會更加的平和民眾需要的是我們大家的照顧偏鄉需要的是好的醫師願意下去照顧他們
transcript.whisperx[264].start 7875.976
transcript.whisperx[264].end 7891.338
transcript.whisperx[264].text 我最後講一個就是你今年開始全世界不管先進國家中等國家或怎麼樣這些醫學院的學生要來台灣畢業要來考台灣的證照都必須要考鑑定考
transcript.whisperx[265].start 7892.139
transcript.whisperx[265].end 7905.917
transcript.whisperx[265].text 而且鑑定考試很難考我不曉得臺灣接下來這樣是會進步還是會退步你只有全部都是本土的本土的美國的也回不來英國的也回不來這樣不好進行結婚
transcript.whisperx[266].start 7910.761
transcript.whisperx[266].end 7938.257
transcript.whisperx[266].text 報告委員其實像我們仿照美國好了美國的那種國際學程很多有名的大學也是有國際學程但是他們的訓練是蠻扎實我們台灣的醫學院畢業也是要進入國際學程經過一個嚴格的訓練然後也可以考照那這個percentage大概也差不多是我們現在8%左右8到10%所以這個50個名額其實是看起來是以國際比較起來是還算合理
transcript.whisperx[267].start 7939.137
transcript.whisperx[267].end 7953.434
transcript.whisperx[267].text 因為國際像美國的名大學也都是大概這個percentage最後我跟大家報告這個因為我有去研究美國的本土的美國人要簽他們的議案他也沒有在外面簽約的簽不對了喔有推掉喔
transcript.whisperx[268].start 7958.683
transcript.whisperx[268].end 7965.186
transcript.whisperx[268].text 全無料他就去加拿大選 選議員或是美國的屬地波多黎各 格羅納達因美國的議員會去他設婚校美國人就直接跑到那邊去念那念是不是比照美國的學歷那當然啊因為他有一段時間實習是回美國那是美國的屬地
transcript.whisperx[269].start 7984.056
transcript.whisperx[269].end 8012.507
transcript.whisperx[269].text 再申請不到的就跑到波蘭東歐去所以他們也會開一個英文班的專班那是要迎合美國這麼大的核心要去的我們台灣人去那邊是在教育的隨班戶讀的全程英文教學所以你說那些人到西班牙到哪裡去念的醫生去那邊受訓很差很差很差
transcript.whisperx[270].start 8013.467
transcript.whisperx[270].end 8036.944
transcript.whisperx[270].text 不要這樣講啦不過站在我們一起維護的人民的醫療品質我們還是會從嚴來審查他的學歷以及相關的考試我們一定是從嚴來保障品質也當然謝謝委員的很多寶貴的指教好 部長加油謝謝好 謝謝我們蘇新前委員接下來我們休息10分鐘
transcript.whisperx[271].start 8046.772
transcript.whisperx[271].end 8047.673
transcript.whisperx[271].text 法定人數不足
transcript.whisperx[272].start 8076.418
transcript.whisperx[272].end 8077.58
transcript.whisperx[272].text 法定人數不足
transcript.whisperx[273].start 8098.073
transcript.whisperx[273].end 8099.174
transcript.whisperx[273].text 委員會主席
transcript.whisperx[274].start 8805.455
transcript.whisperx[274].end 8808.377
transcript.whisperx[274].text 好我們繼續開會我們請林淑雯委員質詢好謝謝主席我們是不是還是請邱部長部長請委員好
transcript.whisperx[275].start 8831.368
transcript.whisperx[275].end 8844.437
transcript.whisperx[275].text 部長好這個職場霸凌的這個案件鬧得沸沸揚揚的那因為我們集團署也被爆料那我首先要先在這裡跟大家講根據111人力銀行的這個調查報告職場霸凌裡面的產業別除了傳統製造業的18%最高以外
transcript.whisperx[276].start 8860.406
transcript.whisperx[276].end 8865.668
transcript.whisperx[276].text 公務部門的職場霸凌比例,雖然排名第4,但第2名是13%,第4名是12%,相差無幾
transcript.whisperx[277].start 8873.112
transcript.whisperx[277].end 8882.28
transcript.whisperx[277].text 意思就是說公務體系公家機關教育部門這些公部門裡面的職場霸凌的問題這個是僅次於製造業這樣子是非常嚴重的這是人力銀行的調查報告職場霸凌在公務體系很嚴重
transcript.whisperx[278].start 8894.295
transcript.whisperx[278].end 8922.768
transcript.whisperx[278].text 那我再來講第二個問題是說這種事情我們不是有正規的管道嗎當受到不法侵害不是有正規管道嗎為什麼這些議題都是透過爆料然後報導出來然後機關才去重視甚至出人命了只包不住火了才要去面對通常都是因為內部的正常的管道被冷處理被壓建
transcript.whisperx[279].start 8924.642
transcript.whisperx[279].end 8930.205
transcript.whisperx[279].text 這是基本上整個事件的本質一定是這樣子這樣你知道我在說什麼嗎我們對於相關的事件一定讓他絕對要預防跟不允許他有這樣的發生那今天署的整備組組長的事件兩年內你知道你們署內離職的人員高達幾成嗎
transcript.whisperx[280].start 8955.641
transcript.whisperx[280].end 8959.242
transcript.whisperx[280].text 整備組整備組我講是署內整備組呢37%這個這是正常人員的流動正常的嗎37%
transcript.whisperx[281].start 8982.85
transcript.whisperx[281].end 8996.773
transcript.whisperx[281].text 那現在離職後的空缺多數也補不到人補不到人以後其他的業務啊其他的公務人員要分擔更多所以這種狀況裡面顯然因為這個組長的作為讓人家待不住然後呢很多人離職了那沒有離職的人還要做更多所以這個單位是高壓狀態喔高壓狀態所以難怪有人在講說欸真的不要再逼死人了
transcript.whisperx[282].start 9012.336
transcript.whisperx[282].end 9013.657
transcript.whisperx[282].text 那這個組長被人家投這個被人家爆料缺乏耐性每天緊逼進度更新要創新要亮點卻不顧本業務本業的業務無法運作
transcript.whisperx[283].start 9027.739
transcript.whisperx[283].end 9028.38
transcript.whisperx[283].text 一分鐘的錄音聽起來還好可是
transcript.whisperx[284].start 9056.616
transcript.whisperx[284].end 9067.642
transcript.whisperx[284].text 如果這個組長在對他們組裡面的工作同仁是天天這樣說天天這樣子罵這裡面的人天天都要聽到組長這樣霸凌和羞辱情緒會好嗎?士氣會好嗎?一定會影響你看我的公文當時發給你的我發給你的公文一星期
transcript.whisperx[285].start 9084.489
transcript.whisperx[285].end 9100.428
transcript.whisperx[285].text 這個是我發的公文11月15號這個事情我就講你們內部有沒有人檢舉有沒有人爆料有沒有人陳情過我們今天中午機關會送我現在在問你們啊你就在這裡回答我就好了啊
transcript.whisperx[286].start 9102.522
transcript.whisperx[286].end 9116.04
transcript.whisperx[286].text 跟委員報告那這位組長他是應該說都沒有被事先有被申訴過完全都沒有沒有那為什麼我會知道為什麼會出這張公文
transcript.whisperx[287].start 9116.921
transcript.whisperx[287].end 9136.609
transcript.whisperx[287].text 那個應該是說在15號12月上面是有人爆料啦崔上面爆料你有沒有聽過網路當時你有沒有聽過網路上的錄音檔當時崔上面爆料說今天署長你本人知不知道15號當時你知不知道15號當時所以PO出來我就知道了你就知道以後你怎麼處理
transcript.whisperx[288].start 9137.409
transcript.whisperx[288].end 9164.572
transcript.whisperx[288].text 那當時我們大概就召開了應變的會議那也應變會議幾月幾日開15號15號當天就開當天也針對這個案因為他沒有一個主要的一個聲訊他爆料之前都沒有投訴沒有澄清沒有嗎完全沒有我們那為什麼人家沒有尋正常管道你們有沒有受不法侵害的正常SOP管道人事行政總處有規定喔報告委員你們有沒有訂出那一個正常作業流程
transcript.whisperx[289].start 9166.174
transcript.whisperx[289].end 9179.595
transcript.whisperx[289].text 職場霸凌的一個作業辦法你們機關署的職場霸凌的人如果出問題那哪一個機關首長就是你嘛是你要負責處理我負責都沒有人提出
transcript.whisperx[290].start 9180.962
transcript.whisperx[290].end 9199.756
transcript.whisperx[290].text 之前其實有另外一件其實我們有按照那個程序去處理了投訴的是組長嗎不是不是另外一件那現在我15號就跟你們講了但是呢我們希望就是說你們本來是說兩個月之後要提供調查報告啦你們私底下這樣回答我們啦要兩個月喔
transcript.whisperx[291].start 9201.617
transcript.whisperx[291].end 9222.289
transcript.whisperx[291].text 結果現在我也是雖然你們院長現在已經下令了要一個禮拜內調查好但我也不會苛責你多久時間因為調查報告要呈現真實客觀不包庇才是最重要而不是只是求急那我再請教你你這一份未來的行政調查報告會不會包括去問已經離職的前職員
transcript.whisperx[292].start 9228.969
transcript.whisperx[292].end 9245.022
transcript.whisperx[292].text 報告委員那這個我們今天已經開始針對這個離職的部分個別致電了那瞭解他們是不是願意受訪你知道這個問題是什麼嗎因為昨天我也詢問過勞動部的那個勞法署的
transcript.whisperx[293].start 9245.743
transcript.whisperx[293].end 9257.896
transcript.whisperx[293].text 那個 署長 因為那署長本人也被人家認為有霸凌不是只有分署長 包括蔡孟良本人都有涉及霸凌還有這個副署長想要降級請調出去了那署長回答我是說他是家庭因素啦 他不是因為被霸凌啦
transcript.whisperx[294].start 9266.075
transcript.whisperx[294].end 9266.655
transcript.whisperx[294].text 我請教你正規正辦的事情
transcript.whisperx[295].start 9294.672
transcript.whisperx[295].end 9298.535
transcript.whisperx[295].text 今年年初這個看守臺灣臺灣的環保團體看守臺灣公布了全球的調查報告指出全球性的環保組織國際污染物消除網絡就是IPEN它在2022年有一個跨國的調查計畫總共檢測17個國家119種食品包材樣本有64個品項驗出PFAS
transcript.whisperx[296].start 9320.109
transcript.whisperx[296].end 9336.694
transcript.whisperx[296].text 撤出率高達54%而直掀餐盒我們覺得說植物纖維餐盒好像很棒但是偏偏直掀餐盒檢出PFAS的濃度最高所以我們台灣看守台灣團體就把台灣的採樣送到iPen去檢驗他送了17個最後只有8個被檢驗了他們有篩選
transcript.whisperx[297].start 9347.717
transcript.whisperx[297].end 9368.764
transcript.whisperx[297].text 8個品項受驗有7個品項測出含有PFAS5件的TOF超出用來判斷是否刻意添加PFAS的丹麥標準6件超出比丹麥標準更寬鬆的歐盟草案標準就是50ppm超過
transcript.whisperx[298].start 9371.925
transcript.whisperx[298].end 9396.404
transcript.whisperx[298].text 8件裏面就有6件超過比較寬鬆的標準就歐盟草案的標準PFAS的測出率和超標狀況都比國際調查計劃他們去監測其他17個國家的平均檢測值還要更嚴重那結果計劃包裁我現在要公佈了計劃包裁分類說明檢測如下他們有公佈在他們網頁你那個書店有沒有看過我看書店你有去看過嗎看守台灣的公佈品項你有沒有看過
transcript.whisperx[299].start 9401.789
transcript.whisperx[299].end 9407.034
transcript.whisperx[299].text 莊市長市長沒有看過哦報告委員我還沒有去看你沒有看過我跟你報告
transcript.whisperx[300].start 9408.288
transcript.whisperx[300].end 9422.279
transcript.whisperx[300].text 但是那個批法這個說我們會跟環境部合作那個進行源頭的金融品項的來我跟你講我跟你報告你沒看過跟你報告防有紙袋不用忘了台灣人的第一餐從早餐開始蔥油餅蔥抓餅餡餅還有什麼早餐袋三明治都從防有紙袋開始的摩斯漢堡的紅豆派紙袋
transcript.whisperx[301].start 9435.891
transcript.whisperx[301].end 9437.613
transcript.whisperx[301].text 台灣沒有標準 各位 台灣沒有標準
transcript.whisperx[302].start 9456.189
transcript.whisperx[302].end 9459.113
transcript.whisperx[302].text 對食品安全的最大的疏忽和最大的縱放就是沒有任何標準沒有標準就不違規都不用受罰這反有指代接下來我講
transcript.whisperx[303].start 9473.224
transcript.whisperx[303].end 9475.447
transcript.whisperx[303].text 維波爐爆米花的內裝紙袋7-11賣的啾哩啾哩
transcript.whisperx[304].start 9497.506
transcript.whisperx[304].end 9497.866
transcript.whisperx[304].text 法定人數不足
transcript.whisperx[305].start 9520.421
transcript.whisperx[305].end 9524.403
transcript.whisperx[305].text 直掀參核﹐台灣某容器生產商的參核檢測出PFAS﹐它的含量是歐盟草案標準﹐57倍PFAS﹐
transcript.whisperx[306].start 9550.774
transcript.whisperx[306].end 9567.422
transcript.whisperx[306].text 再生紙包材 臺灣終於有一個法規還可以臺灣的再生紙包材是不能夠跟食品直接接觸的也不能使用再生紙的所以這類能收集到的不跟食品直接接觸的但是有風險的就是裝彈的彈盒其中有兩個品項進行檢測 一個是
transcript.whisperx[307].start 9572.885
transcript.whisperx[307].end 9595.983
transcript.whisperx[307].text 全聯賣的勤益式好雞能蛋勤益式好雞能蛋它的蛋核檢測出PFAS同樣的主婦聯盟的快樂主婦雞蛋的蛋核沒有沒有檢出這樣 部長你知道PFAS它的風險在哪裡嗎部長 你要聽過PFAS嗎阿姨的風險在哪裡
transcript.whisperx[308].start 9604.417
transcript.whisperx[308].end 9609.362
transcript.whisperx[308].text 這很誤會,這已經大家沸沸揚揚說很久了,這幾年都在說PFAS,PFAS部長,不知道沒關係,沒關係雖然你是醫生的,但是你可能不知道雖然這個議題很夯啊,大家討論的,不管從環境或是食品安全來講,討論得沸沸揚揚
transcript.whisperx[309].start 9627.154
transcript.whisperx[309].end 9651.828
transcript.whisperx[309].text 我是知道這個最近大家都有在談這個啦因為PFAS是工業和消費產品當中應用最廣泛的化學物質包括防油防水抗汙所以他很廣泛的在利用連包括衣服上都也有連那個鍋具都有連那個化學消防泡沫都有連防水衣料食品包材一次性的杯具在台灣人吃那個紅茶啦
transcript.whisperx[310].start 9653.969
transcript.whisperx[310].end 9654.61
transcript.whisperx[310].text 八位委員我想那個
transcript.whisperx[311].start 9679.843
transcript.whisperx[311].end 9701.285
transcript.whisperx[311].text 雖然明年食藥署有一個計畫 我覺得我會請他們喔 現在準備要來這次叫明年有一個計畫來 我跟你講 它是永久性的化學物質 不易被分解 生物環境的蓄積累積性的毒物它遠距離的環境傳輸 而且它持久性而且因為累積 不但累積再累積 所以它有生物的放大性
transcript.whisperx[312].start 9701.906
transcript.whisperx[312].end 9701.966
transcript.whisperx[312].text 李慧琼議員
transcript.whisperx[313].start 9726.254
transcript.whisperx[313].end 9727.235
transcript.whisperx[313].text 每天吃便當、喝咖啡
transcript.whisperx[314].start 9747.21
transcript.whisperx[314].end 9752.834
transcript.whisperx[314].text 對人體的危害有肝臟受損、心血管疾病、甲狀腺、透過母體傳輸給胎兒的慢性腎臟病、睪丸癌等等在這種狀況裏面PFAS經由食品、飲用水、日常用品、空氣中的粉塵、食品包裝這個是很嚴重的它對於免疫系統、肝臟系統和甲狀腺性的功能影響很大我就不要說這麼多我講比較簡單
transcript.whisperx[315].start 9772.088
transcript.whisperx[315].end 9780.614
transcript.whisperx[315].text 他在安全性的數據上面大部分都可以通過腸胃道吸收進入人體人體中的濃度與血液肝臟腎臟較高短鏈的PFAS容易經由尿液排除
transcript.whisperx[316].start 9789.019
transcript.whisperx[316].end 9801.436
transcript.whisperx[316].text 常戀的PFAS由糞便排除但是對人類短戀的估計半衰期從幾天到一個月不等但是對常戀的PFAS要需要好幾年好來
transcript.whisperx[317].start 9804.656
transcript.whisperx[317].end 9831.476
transcript.whisperx[317].text 引用水裡面的這個PFAS濃度因為我經常在環部環境部質詢那他們也預告今年8月預告引用水水質標準要納管要納管PFAS了終於了啦以確保引用水水質安全和品質而且今年年底就完成公告而你們你們作為在哪裡你們做了哪些事關於PFAS的
transcript.whisperx[318].start 9834.881
transcript.whisperx[318].end 9842.844
transcript.whisperx[318].text 國際監視商會定有批發值的一個你清楚的說說不要亂說喔你再說得比較清楚的喔還沒有定出限量食品容器的現在人家說食品容器我告訴你國際我認不認識你聽你說國際到現在都沒有人有聽我告訴你聽喔
transcript.whisperx[319].start 9863.852
transcript.whisperx[319].end 9873.219
transcript.whisperx[319].text 對施德哥爾摩公約他在2009年起禁止生產和使用PFOS及其言類因為PFOS是很多類很多類的總和的名稱PFOS包含很多東西
transcript.whisperx[320].start 9878.783
transcript.whisperx[320].end 9892.275
transcript.whisperx[320].text 那其中PFOS包含了很多東西PFOS的裡面的PFOS他2009年就禁止了2020年禁止使用PFOA2022年起計劃要將PFHXS及其顏內納入條約而且在2023年要生效
transcript.whisperx[321].start 9902.023
transcript.whisperx[321].end 9917.557
transcript.whisperx[321].text 2023年1月去年 荷蘭 德國 丹麥 瑞典 挪威 已經向歐洲化學管理局提交了限制提案 而且這個生效也要將禁止在消費品當中使用PE法是全禁
transcript.whisperx[322].start 9918.749
transcript.whisperx[322].end 9923.799
transcript.whisperx[322].text 他是全進的 但是之前是進了P4是P4BFHXS 並不是沒有他是沒有全進而已
transcript.whisperx[323].start 9931.038
transcript.whisperx[323].end 9949.434
transcript.whisperx[323].text 我們環境部的確也禁了PFOA啦、PFA 我在說你啦然後呢依照歐盟2023年3月資料 歐盟執委會我們當然就不能用了歐盟 人家是禁他們 歐洲不能用 不是我們不能用啦我們都本地生產本地使用我們毫無標準 我們連基礎調查都沒有你們來這裡還敢講說
transcript.whisperx[324].start 9955.598
transcript.whisperx[324].end 9971.625
transcript.whisperx[324].text 美國在6月美國參議院通過防止食品容器受到PFAS危害法案從今年開始他們就禁止銷售任何含有PFAS的食品包裝你現在跟我說世界各國都沒有人給你是在爭笑的你這個書中跟你說的為你相信喔
transcript.whisperx[325].start 9976.107
transcript.whisperx[325].end 10002.133
transcript.whisperx[325].text 美國今年去的全部都不能有還有PFAS的食品包裝欸你不要講這麼多啦,我問你,你有做過調查嗎?尤其環境部已經在112年就委託人家去調查所有的營用水的水質和新興污染物的調查和管理計劃讓他們的調查所有有的水庫,已經做了很久的這樣
transcript.whisperx[326].start 10003.752
transcript.whisperx[326].end 10006.735
transcript.whisperx[326].text 結果水庫也沒有每天使用免洗的紙餐盒也沒有用咖啡杯也沒有用紙袋結果水庫裏面他們抽樣發現PFOA 37個樣品徹職大於室內客的佔了74%
transcript.whisperx[327].start 10022.808
transcript.whisperx[327].end 10032.913
transcript.whisperx[327].text PFOS 13個樣品 測值大於4個耐克1公升的 佔抽樣%是26%這兩年測量水 因為水質就是高山 這樣老外的就赤鹽中啊 啊我們每天在吃的人要怎麼做
transcript.whisperx[328].start 10042.711
transcript.whisperx[328].end 10046.813
transcript.whisperx[328].text 我最好問你啦我們有沒有食品安全監測計畫這幾年來有做過嗎當然也沒有你什麼都不知道喔來相關的那邊給我聽報告委員我們食品要務曾經在100年及112年辦過食品中PFAS的含量的調查那我們這次大概在114年還會再做一次
transcript.whisperx[329].start 10069.529
transcript.whisperx[329].end 10083.557
transcript.whisperx[329].text 來你把調查報告給我看我要講相較於水質調查台灣PFAS食品風險評估有沒有做過有112年有做過什麼你們調查報告叫什麼名字我講風險評估剛剛是講監測計畫調查報告這是兩件事
transcript.whisperx[330].start 10089.383
transcript.whisperx[330].end 10107.311
transcript.whisperx[330].text 報告委員這個是叫食品中持久性有機汙染物全服碗機化合物質調查及風險評估好調查報告送來調查完成了好那歐盟2022年發布了2022及1431規章建議成員國和食品業應該在2022到2025間監測食品中的這些PFAS家族監測期間如果發現人家是這樣講喔如果發現蔬果
transcript.whisperx[331].start 10118.616
transcript.whisperx[331].end 10125.661
transcript.whisperx[331].text 訓類、乳品及嬰兒食品含量高於指定濃度時要進一步的調查原因那請問你們這個計畫裡面有沒有同時跟上如果你發現蔬果、訓類、乳品、嬰兒食品含量高於指定濃度的時候你要進一步調查為什麼?污染的風險來源是什麼?原因在哪裡?你們有沒有這樣子做?我們會在114年這個計畫中做
transcript.whisperx[332].start 10147.119
transcript.whisperx[332].end 10160.232
transcript.whisperx[332].text 那你們還執行一個食品中污染物質及毒素暨包裝包裝容器器具的檢驗方法開發和精進研究你們剛剛講的是你們研究的是這些持久性的化學風品對人的影響
transcript.whisperx[333].start 10161.872
transcript.whisperx[333].end 10168.579
transcript.whisperx[333].text 那我現在講的是那台灣各種食品安全的監測的研究有沒有沒有那你們有一個食品中污染物質在包裝容器上的這個PFAS的風險評估有沒有沒有
transcript.whisperx[334].start 10180.39
transcript.whisperx[334].end 10197.573
transcript.whisperx[334].text 因為你們講的是檢驗方法開發和經濟研究結果2022年做的要2025年才公布2023年2024年都有做結果你們要2025、2026、2027年才要公布您的其中報告各送一份到我們辦公室來可以嗎其中報告不要倒翻喔
transcript.whisperx[335].start 10199.497
transcript.whisperx[335].end 10227.224
transcript.whisperx[335].text 所以我要要求食品安全監測計畫我不是講持久性PFAS的物質對人體的風險而已台灣各種食品台灣環境裡面或是各種包裝他的監測計畫要做長期全面性的監測你了解問題有多嚴重才知道要怎麼管制和解決你可以不做你不做的前提是全部都管制直接禁止使用你有辦法嗎保定
transcript.whisperx[336].start 10228.072
transcript.whisperx[336].end 10254.965
transcript.whisperx[336].text 你若沒有做監測計畫不瞭解問題多嚴重你比照美國全面禁用可以嗎有辦法全面禁用嗎PFAS我們這幾年來最重要的一個工作那如果一定把它做到最好所以委員所提示的指教的我們馬上都來進行我在問你說阿拉伯戶阿不中部金融食品容器食品包裝全部禁用PFAS有辦法馬上全禁嗎我們馬上來研議
transcript.whisperx[337].start 10257.899
transcript.whisperx[337].end 10258.72
transcript.whisperx[337].text 謝謝主席,我們請部長
transcript.whisperx[338].start 10293.908
transcript.whisperx[338].end 10309.935
transcript.whisperx[338].text 委員好部長好部長我今天想要請教就是有關這個兒童這個因為我們知道說少子化這個議題真的非常的嚴重那我在前兩兩三天參加一個兒科醫學會的一個研討會
transcript.whisperx[339].start 10311.475
transcript.whisperx[339].end 10339.516
transcript.whisperx[339].text 那其實大家都非常的擔心就是少子化的問題然後我們所有的兒科醫師的人力的短缺那我想請教就是說我們知道說這個兒童困就是兒童如果要這個比較困難的這個疾病其實這個我們所有的兒科醫師他可能要診斷這個疾病可能也許要花更多的時間去做判斷然後去做診斷
transcript.whisperx[340].start 10342.518
transcript.whisperx[340].end 10355.889
transcript.whisperx[340].text 確實在這幾年當中就是這個額克醫師投入在這個比如說在醫學院也好那這個人力不足所以有很多的醫師即使他已經在
transcript.whisperx[341].start 10356.569
transcript.whisperx[341].end 10381.316
transcript.whisperx[341].text 這家醫學中心也好他已經很久工作很久了也這個五六十歲了那他還是要值班所以最近我聽到是這樣子而柯醫師真的他們還要值班所以有的人就會覺得說那我就直接轉到就是原本醫學中心或醫院他就不想然後就直接轉到診所就自己到診所去
transcript.whisperx[342].start 10382.216
transcript.whisperx[342].end 10400.397
transcript.whisperx[342].text 所以我們發現就是說兒科醫師這個人力短缺的議題非常的嚴重那我們也知道說少子化這個問題是國安問題那我們的這個兒童的這個死亡率也高於其他國家高於美國高於日本
transcript.whisperx[343].start 10401.138
transcript.whisperx[343].end 10415.166
transcript.whisperx[343].text 所以我今天想要請教我們部長就是說我們一直希望說能夠優化這個兒童的醫療照護那其實我也看到國會院底下有一個兒童醫學及健康研究中心
transcript.whisperx[344].start 10417.267
transcript.whisperx[344].end 10440.336
transcript.whisperx[344].text 我認為就是說其實這個國衛院底下這個這個健康研究中心其實沒辦法去很實際上的去照顧到我們這些兒童的這個醫療那我想請教就是說我們現在全臺灣的這個兒童醫院從北到南好從北到南那其實感覺也沒有多少家
transcript.whisperx[345].start 10441.676
transcript.whisperx[345].end 10443.739
transcript.whisperx[345].text 臺大兒童醫院成立10年與其他世界先進國家比較起來
transcript.whisperx[346].start 10462.121
transcript.whisperx[346].end 10487.573
transcript.whisperx[346].text 衛福部或中央的資源挹注其實還是有限那我想請教就是說第一個未來這個部長你在這個位置上面你要怎麼樣讓我們的這個兒童的醫療人員短缺或者是分配不均的這樣的一個問題你要去做什麼樣的努力另外一個就是我們這個兒童醫院確實很多
transcript.whisperx[347].start 10488.533
transcript.whisperx[347].end 10488.834
transcript.whisperx[347].text 委員會主席
transcript.whisperx[348].start 10505.816
transcript.whisperx[348].end 10526.45
transcript.whisperx[348].text 這個兒童醫院的這種類似兒童醫療的一個研究中心我覺得這樣子會不會比較比較好而不是分散到其他的這個兒童醫院那我是不是可以先請教部長未來我們有關這個兒童醫療專業人力的這個短缺或者是分配不均的這個議題你要怎麼去做處理
transcript.whisperx[349].start 10528.88
transcript.whisperx[349].end 10552.847
transcript.whisperx[349].text 謝謝委員對這個兒童健康以及兒童兒醫的人力還有困境現在的困境提出了非常精闢的一個提出來的一個見解來提出了這些問題的確這個就是我們現在兒科面臨的問題那我首先講特別著重因為委員很難得來關心我們一起來關心這個
transcript.whisperx[350].start 10554.327
transcript.whisperx[350].end 10573.528
transcript.whisperx[350].text 兒童及重男罕症這個部分的確這個部分其實我想各個醫學中心尤其是像北部這些醫學中心發在這邊的醫院發在這邊投入的人力跟經費其實都是
transcript.whisperx[351].start 10574.489
transcript.whisperx[351].end 10585.775
transcript.whisperx[351].text 值得肯定的這個我們首先要了解但是這個部分畢竟是要發揮比較多的是沒有什麼盈利盈盈盈盈盈盈盈盈盈盈盈盈盈盈盈盈盈盈盈盈盈盈
transcript.whisperx[352].start 10597.961
transcript.whisperx[352].end 10625.209
transcript.whisperx[352].text 一個是兒科有些科都還可以翻身兒科就是很難經營所以醫院其實都是很努力在維繫這樣的一個資源來照顧兒童的健康所以我想我們政府當然是有必要在人力跟資源方面給予最大的支持那你要怎麼做你要給這些做支持那你要怎麼做
transcript.whisperx[353].start 10626.274
transcript.whisperx[353].end 10642.711
transcript.whisperx[353].text 好,我想我們有一些優化整個兒童照顧的一個計畫,剛剛委員有提出來,其實裡面就很多來改善這樣的一個環境,但是我還是強調這是非常重要的那是不是請議事司司長跟委員報告一下
transcript.whisperx[354].start 10643.391
transcript.whisperx[354].end 10661.882
transcript.whisperx[354].text 報告委員就是就兒童人才的部分的話我們大概就會希望是說有兒童醫院跟醫學中心帶其領頭羊那也因為這樣所以我們在優化兒童依賴網的計畫裡面有八家核心醫院這個就是人才培育然後網絡連結的部分因為你一定要有產出
transcript.whisperx[355].start 10662.382
transcript.whisperx[355].end 10680.298
transcript.whisperx[355].text 像委員剛剛特別在這個地方講的是說那幾乎都在基層這一塊的職業部分所以我們才會利用就是說把人才集中在訓練的部分透過核心醫院來帶動跟去網絡做連結的時候才有人才不斷的流
transcript.whisperx[356].start 10680.658
transcript.whisperx[356].end 10680.898
transcript.whisperx[356].text 委員會委員會委員會委員會
transcript.whisperx[357].start 10709.893
transcript.whisperx[357].end 10726.028
transcript.whisperx[357].text 106年開始就透過國衛院這邊來合作因為長期的政策合作對人力的分布這一塊我們覺得對兒科的醫師的發展所以你們現在政策的研究就交給國衛院那臨床的研究就交給現在目前的這些有兒童醫院的這些醫院嗎
transcript.whisperx[358].start 10726.869
transcript.whisperx[358].end 10751.494
transcript.whisperx[358].text 包括醫學中心因為兒科的發展這一塊的科技研究部分主要的經費來源會來自科技部國科會然後以國科會這邊的話其實他會鼓勵各個學門然後那以這個部分來說的話我們大致上面衛福部這邊是支持人員出國進修所以我們在我們的優化兒童醫療網裡面是鼓勵我們這邊的人才出國去進修
transcript.whisperx[359].start 10752.094
transcript.whisperx[359].end 10752.374
transcript.whisperx[359].text 4年提供135億
transcript.whisperx[360].start 10776.146
transcript.whisperx[360].end 10799.165
transcript.whisperx[360].text 來協助這個相關歐同醫療照護的發展我補充一下就是部長剛剛講的就是第二期行政院這邊特別加碼因為第一期的時候是4年28億發現在第三年執行過程當中就發現這樣的預算是遠遠不夠超出我們之前的估算所以今年113年有加碼加碼到20億
transcript.whisperx[361].start 10800.426
transcript.whisperx[361].end 10824.38
transcript.whisperx[361].text 以這個預算的那個度來預估所以行政院這邊特別就是已經通過了優化兒童醫療網第2期的計畫這邊也希望委員能夠支持優化兒童醫療網4年135億以上那部長我想再請教一下就是說賴總統在2025年健康台灣的政策當中有提到一個就是希望將新生兒的死亡率降到4%
transcript.whisperx[362].start 10826.281
transcript.whisperx[362].end 10852.252
transcript.whisperx[362].text 就是說要達到這樣的一個成效那如果要這樣子的話其實有需要大量的可能資源投入那或者是要有一些大數據或預防的方案那我想請教就是說我們這邊剛剛有特別提到就是說可能政策方面是交給國衛院這邊去做一些研究那應該也要進行各單位的資源整合才有辦法完成要不然
transcript.whisperx[363].start 10853.332
transcript.whisperx[363].end 10865.804
transcript.whisperx[363].text 臺灣的這個新生兒的死亡率其實跟其他鄰近國家比起來其實是比較高的對的因為我們目前來講是我們的統計用我們的統計方式是千分之五點二那我們希望在
transcript.whisperx[364].start 10868.646
transcript.whisperx[364].end 10890.164
transcript.whisperx[364].text 我們的健康台灣的目標是要把它降到前文字4以下那這個的確第一個我們要釐清data的一個的算法跟國家國際間的一個標準化的一個算法那這第一個第二個當然我們就是要加強到從印產相關的照顧那我想這個部分當然
transcript.whisperx[365].start 10891.645
transcript.whisperx[365].end 10916.613
transcript.whisperx[365].text 兒童兒醫這個部分的團隊給他鼓勵是更重要部長最後因為時間的關係那個那個趙偉可能會希望我準時一點那我就盡量準時我這最後一個題目我想請教就是說這個目前我們希望就是說這個兒童盡量不要生病盡量不要生病那應該也是要從預防方面去著手
transcript.whisperx[366].start 10917.153
transcript.whisperx[366].end 10939.86
transcript.whisperx[366].text 而不是說生病之後我們才從這個醫療方面應該是要不讓他生病就是用預防的方式那我不知道說像這樣子的話如果說要以預防就剛剛部長有特別提到如果說有家醫師兒科醫師可能也需要有一些讓爸爸媽媽有一些
transcript.whisperx[367].start 10940.52
transcript.whisperx[367].end 10958.712
transcript.whisperx[367].text 響鐘
transcript.whisperx[368].start 10958.792
transcript.whisperx[368].end 10959.132
transcript.whisperx[368].text 法定人數不足
transcript.whisperx[369].start 10984.288
transcript.whisperx[369].end 10999.114
transcript.whisperx[369].text 我照顧多少的孩子那這些孩子都不生病都是健康那這樣子我覺得是不是也可以朝這樣的一個方向來來發想謝謝委員的指教我們現在在推兒童專者醫師就希望給他一個從疫房是
transcript.whisperx[370].start 10999.574
transcript.whisperx[370].end 11026.066
transcript.whisperx[370].text 然後包括整個他環境的一個關心來下手預防剩餘治療當然有任何問題也給他最好的一個處理所以現在已經開始做了嗎有在做而且是各縣市現在都積極在運作是也蠻多醫師參與的也非常感謝他們好我希望就是說因為我們一直在講嫂子話我們每一個小孩都是寶貝所以一定是給他最好的一個照顧
transcript.whisperx[371].start 11027.607
transcript.whisperx[371].end 11043.401
transcript.whisperx[371].text 那剛剛講的新生老那個部分那個也是重點對更多的小孩出生安全的出生平安的長大對這都是我們每一個歷程我們都要努力來做是好我希望就是說這個區塊應該應該也是就剛剛講的這個這個家醫科跟兒科可能是比較不會
transcript.whisperx[372].start 11050.447
transcript.whisperx[372].end 11051.168
transcript.whisperx[372].text 接下來我們請廖偉祥委員質詢
transcript.whisperx[373].start 11083.733
transcript.whisperx[373].end 11109.296
transcript.whisperx[373].text 謝謝主席有請邱部長委員好部長你好部長有關新冠跟流感混打的事宜根據美國醫學會的雜誌刊登的文獻研究發現同時接種COVID-19疫苗跟流感疫苗後中風的風險會增加
transcript.whisperx[374].start 11110.693
transcript.whisperx[374].end 11135.347
transcript.whisperx[374].text 那美國食品藥物管理局的專家分析了醫療保險所賠的數據也得出相同的結論那同時CNN在去年的10月26日也報導混打會提高中風的風險那請問部長現在這些研究有出來對於風險的部分是持相反的意見那會不會考慮停止左流右行的這個這項做法
transcript.whisperx[375].start 11137.188
transcript.whisperx[375].end 11158.254
transcript.whisperx[375].text 好 協議委員的指教齁 那我想我們所有的疫苗怎麼打 要打什麼 都是由ACIP齁 或者是相關的一個專家齁 經過很嚴謹的考的一個 當然他們每一個都是 應該都是這一方面的專家對 我相信是專家那 所以應該會 這樣的打法齁 那個應該是專家所
transcript.whisperx[376].start 11158.934
transcript.whisperx[376].end 11183.576
transcript.whisperx[376].text 但部長我去查了一下因為左流右心的這個施打方法是在依據111年的2月25日傳染病防治諮詢會的流感防治組預防接種組的聯席會議定定的所以是在111年的2月25號可是這些是後來美國學界在去年做出病打會增加風險的研究
transcript.whisperx[377].start 11184.932
transcript.whisperx[377].end 11201.367
transcript.whisperx[377].text 所以我要跟你講的你懂我的意思嗎了解在這部分疾管署跟ACIP的會議是不是要重新檢討雖然說有很多的這種醫學的研究或許都有正反兩面的意見但是是不是應該要重新檢討而且要把這種各種風險明確的告訴我們的國人是
transcript.whisperx[378].start 11205.362
transcript.whisperx[378].end 11231
transcript.whisperx[378].text 是的那是不是我請署長莊署長報告委員那有關這個報導的部分那容我們再去看因為每一個研究它有不同的一個證據等級那這個部分我們也會收集這些研究然後再去跟我們的ACIP的委員會來做這方面的一個對因為當初你們設定的時間點跟後來出來的研究是有落差的不過應該是說
transcript.whisperx[379].start 11232.801
transcript.whisperx[379].end 11256.237
transcript.whisperx[379].text 當初是這樣但是我們陸續也有看到其他是正面的一些結果你說左流右心對所以我們也會好那我就接下來就繼續講國外目前主要討論就是有關混打兩種疫苗後老人心血管啊腦中風的病患機率提高的問題那所以日前在基隆也出現左流右心一次接種之後就有民眾不幸死亡的案例
transcript.whisperx[380].start 11257.657
transcript.whisperx[380].end 11272.591
transcript.whisperx[380].text 上個月在臺東也有接種5天後身亡的案例那對此 疾管署你們的回應是什麼回應是說通常都是接種一小時後發生的副作用那一般就不會被認定跟疫苗相關的副作用
transcript.whisperx[381].start 11273.635
transcript.whisperx[381].end 11300.697
transcript.whisperx[381].text 是有關係但這樣的風險是不是存在民眾如果知道有這樣的風險而且接種後的副作用的保固卻只有一個小時部長你認為民眾對於這樣左流右行同時混打的接受度會提高還是會降低我想如果媒體這樣的消息當然會影響到接種的意願所以以臺大意願而言在
transcript.whisperx[382].start 11302.503
transcript.whisperx[382].end 11317.373
transcript.whisperx[382].text 你們應該要再一次的深入去了解重新召開然後因為他有風險應該是要讓民眾可以明確明白自己有風險之後再自行評估他要不要參與施打
transcript.whisperx[383].start 11331.584
transcript.whisperx[383].end 11343.136
transcript.whisperx[383].text 我之前也幫我之前也幫很多疫苗受害家屬開過這個記者會討空到因為你們發生這件事情之後你們後續就在自己審議委員會裡面每一個案例只花了80秒的時間
transcript.whisperx[384].start 11345.225
transcript.whisperx[384].end 11345.325
transcript.whisperx[384].text 報告委員
transcript.whisperx[385].start 11369.571
transcript.whisperx[385].end 11379.696
transcript.whisperx[385].text 那像這一例他會做這個解剖啦所以會做進一步的查證這個之前開會記者會很多細節就是你們就是不夠嚴謹那另外這個剛剛說這個開會80秒那個我想有些誤會因為其實我們每個案子都會
transcript.whisperx[386].start 11386.78
transcript.whisperx[386].end 11414.599
transcript.whisperx[386].text 這沒有誤會有三個委員他們至少三個委員他們會先看過上次都已經講過了這個我們在這裡就不繼續說數我在這個這已經打過很多次新冠疫苗國內目前的品牌也只有現在就是這種混打式的就是莫德納一直傳聞說有要雙打的原因是因為莫德納要推出雙效疫苗也是同一支疫苗可以達到新冠跟流感的效果那是否真的有這個事情若沒有的話可不可以請部長在這裡澄清跟保證
transcript.whisperx[387].start 11415.78
transcript.whisperx[387].end 11416.021
transcript.whisperx[387].text 我相信
transcript.whisperx[388].start 11426.201
transcript.whisperx[388].end 11452.16
transcript.whisperx[388].text 所有的專家疫苗專家我不曉得是誰啦齁但是一定都是各全國各地的醫療相關的精英以從我擔任在醫界這麼多年我相信沒有一個醫療的專家會站在任何所以部長你保證就不會是嗎我只是要你曾經保證一下嘛保證不會因為這種原因來做這種事情好所以我還是要強調一下我是希望提高接種率我還是要強調一下我並沒有反對疫苗施打的推行
transcript.whisperx[389].start 11452.6
transcript.whisperx[389].end 11480.883
transcript.whisperx[389].text 但是你們應該要誠實而且非常公開透明的讓小心的告訴我們的民眾這應該是衛福部的責任而不是只是負責花錢去為了提升疫苗的打氣然後後續發生了又不管什麼副作用然後你們的整個整個審理這些疫苗受害的過程非常的狹隘讓這些人為了公衛去願意打這個疫苗可是發生問題之後卻得不到賠償
transcript.whisperx[390].start 11482.486
transcript.whisperx[390].end 11506.806
transcript.whisperx[390].text 另外部長這個有關衛福部的這個霸凌的事情公務體系今天也很多人都有問但是昨天賴總統終於在事發17天後在臉書上檢討這件事情他強調每一位每一名員工都是政府機關重要的議員都是人才要加強對於他們關懷跟保護那但是昨天勞動部核部長對於這個霸凌的調查報告說
transcript.whisperx[391].start 11510.209
transcript.whisperx[391].end 11522.343
transcript.whisperx[391].text 他有他的惡可是這樣的惡是不是普遍存在官僚體制中就像是德國哲學家漢納厄蘭所說的平庸的邪惡請問部長你認同這句話嗎平庸的邪惡
transcript.whisperx[392].start 11526.583
transcript.whisperx[392].end 11540.673
transcript.whisperx[392].text 我沒有那麼哲學家那麼有那個瞭解但是我只是堅持著像這樣的資產霸凌的情況我們一定要努力來預防部長我告訴你我是很認同何部長引述漢娜二蘭所說邪惡的平庸
transcript.whisperx[393].start 11541.454
transcript.whisperx[393].end 11561.358
transcript.whisperx[393].text 因為那是在批判那些在納粹希特勒威權領導下社會集體的思考無能所以他是不是在影射這幾年的民進黨政府的執政我想這就用大家去解讀我就不評判但是我要強調即使他說這個平庸的邪惡但絕對沒有目的良善的霸凌所以我想問一下上週這個
transcript.whisperx[394].start 11566.263
transcript.whisperx[394].end 11595.581
transcript.whisperx[394].text 部長啊上週在社群媒體的這個有關爆料疾管署整備組組長也有這方面的問題請教部長啊罵人是豬啊是求好行妾目的良善情緒失控公然侮辱還是平庸的邪惡哪一種啊罵人只要是在職場上有罵人都是不對的不管你用什麼言辭這樣子好所以這件事情啊霸凌的事件你們是不是也認知到這件事情不能再拖有我們一個禮拜之內會你是因為行政院
transcript.whisperx[395].start 11596.041
transcript.whisperx[395].end 11623.3
transcript.whisperx[395].text 被行政院長罵了才趕快改還是行政院長道歉了因為你們本來說兩個月現在變一個禮拜院長是指示指示大家任何這有寫嘛以備媒體最後或者討論的是案件全部要在一周內完成調查追責責任這件事情啊能夠帶來讓相關霸凌事件的重視跟加速的調查我想是我們在不幸中的這個事件要學到的其中一個教訓會很謹慎
transcript.whisperx[396].start 11626.189
transcript.whisperx[396].end 11654.238
transcript.whisperx[396].text 好再來目前我們看到整備組的異動37%是確實是偏高的但是也高於機關署的13%所以幾個調查重點要特別提醒一下我們的部長第一個這個委員會的組成要合理該避免的人士就要迴避外部委員的人數也比例也應該要提高相關人士的邀約談還有包含主管基層
transcript.whisperx[397].start 11655.114
transcript.whisperx[397].end 11657.865
transcript.whisperx[397].text 然後也要確保中間到底有沒有人吃案、押案
transcript.whisperx[398].start 11658.888
transcript.whisperx[398].end 11687.059
transcript.whisperx[398].text 然後LINE也沒有要查核然後現在時代也不是只是用公文在下命令所以這些媒介都應該要去掌握那另外我是希望這個調查請部長我也有看到你有保證應該要公正超然不要有行政瑕疵是不然我們一定會追究到底當然當然對我想這個該辦就要辦公務體系不應該成為這個官場現行記的舞台應該是穩定國家發展的基石主席不好意思我還有還是有一點點問題要問
transcript.whisperx[399].start 11689.96
transcript.whisperx[399].end 11710.154
transcript.whisperx[399].text 好我直接跳下一題好了有關於日前食藥署發布公告將這個藥放寬六項標準標準放寬從一倍到三倍都有事實上減少農藥等化學物質在蔬果上提倡無農藥的種植都是趨勢我想要問一下
transcript.whisperx[400].start 11711.471
transcript.whisperx[400].end 11723.687
transcript.whisperx[400].text 為什麼現在會反其道而行放寬標準你看這裡面阿福平調高2.5倍其他3倍2.8倍這些都有高於歐盟3倍高於歐盟5倍都有我想要請問一下
transcript.whisperx[401].start 11725.01
transcript.whisperx[401].end 11750.758
transcript.whisperx[401].text 為什麼會有這樣的原因是其他他國要求嗎還是是有其他的原因呢是不是是那個請莊市長跟委員報告一下因為這些農藥的放寬的標準主要的原因是我們那時候是依據農業部的要求有的是因為他在各個地的依據農業部的要求那農業部為什麼要要求這件事情犧牲國人的食品安全健康
transcript.whisperx[402].start 11753.132
transcript.whisperx[402].end 11767.063
transcript.whisperx[402].text 過去就已經討論過草莓農要標準放寬經過激烈的討論之後並沒有通過為什麼現在又要放寬呢是因為要因應日本的要求嗎還是有誰在下指導旗要犧牲國人的健康
transcript.whisperx[403].start 11768.666
transcript.whisperx[403].end 11775.07
transcript.whisperx[403].text 以前就已經討論過為什麼現在要突然放寬明明就是往沒有農藥的方向去走就是趨勢那你現在放寬的背後的邏輯到底是什麼而且這也有寫日本草莓今年又新增開放了使用七種農藥
transcript.whisperx[404].start 11795.356
transcript.whisperx[404].end 11819.11
transcript.whisperx[404].text 我要提醒你們不應該把人民的健康把人民的食安放在風險之中所以我反對把這個放款為了守護人民的食品安全好謝謝主席好謝謝六委員謝謝我們一定會守護人民的健康請放心來接續我們請黃國昌委員質詢
transcript.whisperx[405].start 11835.482
transcript.whisperx[405].end 11854.491
transcript.whisperx[405].text 謝謝主席,麻煩有請部長委員好部長好,上次質詢的時候提到專科護理師他們夜間津貼獎勵的問題你也在這邊做出了很莊嚴的承諾那也感謝衛福部
transcript.whisperx[406].start 11855.816
transcript.whisperx[406].end 11877.403
transcript.whisperx[406].text 到我辦公室來說明了以後就依照我的要求有發函讓大家知道專科護理師只要落入在你們那個範圍有夜間服勤的事實大家都可以領得到錢沒有大小眼沒有差別對待這個很重要這個事情我先謝謝部長但問題是下一個問題是函是發下去了
transcript.whisperx[407].start 11879.784
transcript.whisperx[407].end 11890.117
transcript.whisperx[407].text 大家現在在擔心是醫院是不是會真的按照你發的函來辦理所以你可不可以跟大家宣示一下醫院就是應該要切實遵守
transcript.whisperx[408].start 11893.582
transcript.whisperx[408].end 11917.554
transcript.whisperx[408].text 宣示一下醫院要按照衛福部的喊切實遵守我現在在著求給你我在這邊希望所有的醫院一定要按照我們的衛福部的規定確實去發放OK好非常好來我們接下來這個禮拜天我們那個本土小牙醫聯盟一些民間團體他們要
transcript.whisperx[409].start 11920.199
transcript.whisperx[409].end 11928.885
transcript.whisperx[409].text 提出他們具體的訴求第一個撤回24億甲偏鄉計畫衛福部不得開後門衛福部知不支持我跟委員報告這個20億甲偏鄉這樣的名詞是錯誤的
transcript.whisperx[410].start 11938.666
transcript.whisperx[410].end 11963.522
transcript.whisperx[410].text 那個這的確就是偏鄉計畫因為這偏鄉計畫已經是從第一題所以沒有啦那我們不要受限於標題啦因為內容我其實也別給你看了嘛我直接再度回答就是我們的偏鄉第二優化偏鄉醫療計畫第二期現在要針對現在在牙醫這個部分只是針對55個現在沒有牙醫的鄉鎮
transcript.whisperx[411].start 11967.324
transcript.whisperx[411].end 11983.543
transcript.whisperx[411].text 我們鼓勵本國的醫師當然是有執照的是所以絕對不會沒有執照嗎絕對第一個絕對沒有執照沒有執照我們醫師還不會讓他去執OK好非常好第二個保留啊國外學歷採任原則贊不贊成
transcript.whisperx[412].start 11987.604
transcript.whisperx[412].end 12011.938
transcript.whisperx[412].text 這個我們保留國外協議裁判當然我一再重複我們絕對採用最高的要求絕對採用最高的標準來做國外協議的裁判現在問題來了因為這件事情考選部非常的困擾為什麼考選部非常的困擾2017年1月1號我們開始加嚴管制
transcript.whisperx[413].start 12016
transcript.whisperx[413].end 12043.485
transcript.whisperx[413].text 結果到2022年6月22日上一屆國會依司法公布了三項附帶決議要放寬引發軒然大波所以在2022年6月22日三讀通過那三個附帶決議的時候在考試院發生什麼事情在考試院發生的事情是衛福部派去的代表我不確定他是不是受到附帶決議的影響
transcript.whisperx[414].start 12045.336
transcript.whisperx[414].end 12073.559
transcript.whisperx[414].text 他跑去考選部開會的時候他開會因為考選部基本上他們的立場是他尊重主管機關衛福部的政策立場考選部把整個嚴格都寫得很清楚了結果你們2022年6月30號第43次的審議會議以後你們同意不再適用國外大學或學院醫學系科學歷採認原則
transcript.whisperx[415].start 12076.26
transcript.whisperx[415].end 12103.665
transcript.whisperx[415].text 從這個時候開始放寬部長這個基本的事實你有沒有掌握首先跟委員報告我們不會根據互待決議是啦是啦我知道嘛所以我在一樣一樣放給你看嘛按照醫師法修法的以後的一個應該進行的據我了解是我的掌握是這樣子
transcript.whisperx[416].start 12104.065
transcript.whisperx[416].end 12127.603
transcript.whisperx[416].text 要回到2017年那時候的標準嘛就是你剛所講最嚴格的標準嘛但我今天為什麼要藉由這個機會去質詢我怕部長人事情忙啊沒有辦法掌握這些基本的事實啊所以我特別上來跟院長報告啊2022年6月30號的時候你們派去考選部的代表說什麼啊
transcript.whisperx[417].start 12128.724
transcript.whisperx[417].end 12153.17
transcript.whisperx[417].text 說沒有再要用那個財政原則阿要放寬阿結果來來來部長你看一下2022年11月23號行政院韓立法院復旦決議我們不執行喔這個是行政院直接回韓立法院因為那時候引發軒然大波大家都來抗議了嘛抗議完了以後阿接下來就看不懂了
transcript.whisperx[418].start 12154.249
transcript.whisperx[418].end 12168.218
transcript.whisperx[418].text 行政院跟立法院講這附帶決議我們不會執行意思就是什麼學歷的採任不會放寬但問題是你們到44次會議的時候你們衛福部為什麼沒有派人去考選部開會跟有關於醫師考試採任原則這麼重要的事情衛福部竟然一個人都沒有去
transcript.whisperx[419].start 12183.12
transcript.whisperx[419].end 12184.082
transcript.whisperx[419].text 部長這件事你知道嗎
transcript.whisperx[420].start 12189.819
transcript.whisperx[420].end 12216.43
transcript.whisperx[420].text 這是2022的時候因為我不在部裡面沒關係部長你回去查一下一個禮拜之內書面回覆為什麼那時候沒有派人去沒有派人去的結果是什麼我跟院長報跟部長報告沒有派人去的結果就是啊之前放寬了44次喔雖然附帶決議不執行喔繼續放寬到第45次有派人去了有派人去一句話都沒講
transcript.whisperx[421].start 12217.728
transcript.whisperx[421].end 12235.394
transcript.whisperx[421].text 一句話都沒有講沒有跟考試院考選部講說那個附帶決議沒有要執行欸結果又按照43次的繼續放寬從43、44、45附帶決議都已經不執行了結果衛福部去考選部完全沒有表達這樣的意見導致繼續的放寬違反部長剛剛所講一定用最嚴格的標準
transcript.whisperx[422].start 12249.006
transcript.whisperx[422].end 12268.127
transcript.whisperx[422].text 這個是在玩兩面手法嗎明著講一套背後在放水嗎部長可不可以回去了解一下為什麼會發生這種狀況接下來呢接下來要不要回復到2017年那個時候的嚴格採任標準這個是現在大家關心的事情
transcript.whisperx[423].start 12269.096
transcript.whisperx[423].end 12280.944
transcript.whisperx[423].text 這部分的意思是可以說明一下我們把那個原則已經修到醫師法施行細則阿最近會公布所以就會用醫師法施行細則是現在你們公告的醫師法施行細則一之一嗎
transcript.whisperx[424].start 12281.772
transcript.whisperx[424].end 12299.631
transcript.whisperx[424].text 不是 那個是公告的草案那個草案的部分我們要在那等於是預告程序所以我們要公告的部分的話會採認那個已經把那個原則的部分修到我們預計修的疑似法施行細則第12年就維持2017年一模一樣的標準嘛
transcript.whisperx[425].start 12300.071
transcript.whisperx[425].end 12314.742
transcript.whisperx[425].text 文字有一些些的微調因為那個原則裡面有一些些文字不基本那個文字啊會後可不可以給我因為有的時候魔鬼就藏在細節裡啊你微調以後的文字是不是有維持之前的標準這個是大家現在在關心的嘛
transcript.whisperx[426].start 12316.192
transcript.whisperx[426].end 12332.19
transcript.whisperx[426].text 那一個在程序中所以我們會覺得是說我們如果要公告之前我們其實是公告的那個同時可以送到委辦因為這是程序問題對 這個你們的行政程序我尊重我最後只講一句話
transcript.whisperx[427].start 12333.474
transcript.whisperx[427].end 12346.28
transcript.whisperx[427].text 拜託這次不要再引發軒然大波了吵了好幾年了從2017年2022那時候在立法院偷渡那個附帶決議引發軒然大波搞到行政院發函說附帶決議不執行這很嚴重的事情
transcript.whisperx[428].start 12350.495
transcript.whisperx[428].end 12377.448
transcript.whisperx[428].text 那已經產生了這麼大的爭議希望這一次要慎重維持部長剛剛的承諾維持最嚴的嚴格那同時文字在你們程序上面可以的時候給所有的委員大家都知道好的不要再產生這樣的爭議可以嗎一定我們一定會最大的誠意來解決剛剛委員所講的長期的一個爭議OK好謝謝最嚴格的方式來審查最嚴格嘛大家都聽到了OK謝謝
transcript.whisperx[429].start 12379.837
transcript.whisperx[429].end 12384.163
transcript.whisperx[429].text 好 謝謝王委員 謝謝部長那接下來我們請賴思寶委員質詢謝謝主席 有請衛福部的邱部長
transcript.whisperx[430].start 12400.188
transcript.whisperx[430].end 12425.4
transcript.whisperx[430].text 委員好你好這個外界也在高度質疑說衛福部啊其實你來之前啊其實官僚非常官僚土房店一堆啦你什麼時候可以清一遍你自己親自清一遍說不要讓勞動部的事情發生在衛福部因為你現在點名了啊機關署裡面就有啊還有可能還有其他單位啊
transcript.whisperx[431].start 12426.4
transcript.whisperx[431].end 12430.385
transcript.whisperx[431].text 委員會主管委員會主管委員會主管委員會主管委員會主管委員會主管
transcript.whisperx[432].start 12445.834
transcript.whisperx[432].end 12460.968
transcript.whisperx[432].text 我一切都是以人民的健康為資質一生的資質你都這樣麻吉就是人家怎麼捏你的部主怎麼欺負你沒關係跟委員報告一下我到部裡面來深深的覺得我們部裡面的所有的官僚很足啊官僚很足啊真的是非常的努力啦我派你石耀俗聽說你吳署長我有官威始祖啊那東西大家都知道啊出到這個部長就
transcript.whisperx[433].start 12469.696
transcript.whisperx[433].end 12474.458
transcript.whisperx[433].text 現在大家最...現在來講喔你不要在笑啦一個是波波一一個本土一啊現在來講的話
transcript.whisperx[434].start 12498.41
transcript.whisperx[434].end 12499.131
transcript.whisperx[434].text 國外醫學院畢業了
transcript.whisperx[435].start 12528.15
transcript.whisperx[435].end 12544.695
transcript.whisperx[435].text 國外的有的 比如說哈佛的你把哈佛的John Hopkins的跟波波擺在一起這個東西炒到多多的放在一起要怎麼議這個東西就是大家混這個在111年我們在這邊的時候修法就變成這樣子來 這個大家混我跟你講現在來說嘛
transcript.whisperx[436].start 12553.464
transcript.whisperx[436].end 12563.537
transcript.whisperx[436].text 其實有些人同情你啦這個始作俑者叫陳時中啦結果你就會爛 邱太元你就那麼麻煩 怎麼不去批評陳時中主要陳時中現在牙醫快要崩盤你知道嗎請問一下牙醫多少人
transcript.whisperx[437].start 12572.981
transcript.whisperx[437].end 12585.368
transcript.whisperx[437].text 一萬七左右來來來我們看一萬六一萬七我們現在疫病比大概一千三百五十一個牙醫服務一千三百五十個人每一年增加五百位我這數字對吧不對請指教
transcript.whisperx[438].start 12594.576
transcript.whisperx[438].end 12612.088
transcript.whisperx[438].text 每年台灣喔391個新生那可能還會加僑生或等等所以依照研究齁420個畢業阿如果說加上原來的不是每次都有50吧大概470個可是還要想一下考照率對考照率怎麼樣考照率95%的鬼阿
transcript.whisperx[439].start 12615.435
transcript.whisperx[439].end 12638.046
transcript.whisperx[439].text 9層9層9層9層9層9層
transcript.whisperx[440].start 12638.186
transcript.whisperx[440].end 12656.373
transcript.whisperx[440].text 我們就會幾年後跟日本一樣一比一千人一個牙醫服務一千人就變成牙醫就崩盤東京是一比八百六十一福岡一比九百五十一大阪一比一牙醫師下班以後還去看Uber還要做外送員主席都知道啊
transcript.whisperx[441].start 12665.237
transcript.whisperx[441].end 12685.298
transcript.whisperx[441].text 有些人說我去本黨來喔 抱歉你不去找我人 以前對台灣外戰有扣就中了 這個部長你都知道囉請問邏輯你現在怎麼解本土意義跟國外意義怎麼取得平衡 你告訴我怎麼做
transcript.whisperx[442].start 12687.653
transcript.whisperx[442].end 12709.418
transcript.whisperx[442].text 是這樣子啦我們當然臺灣也是國際化的一個國家所以我跟委員報告就是像即使像哈佛或像那個大學他們都有國際學成他說的國際學成大概是他們的比例大概8到10%所以我們如果一年有400位111的本土生那乘以我們目前5大概8%
transcript.whisperx[443].start 12711.198
transcript.whisperx[443].end 12721.43
transcript.whisperx[443].text 比例上是跟國際間是接軌的啦你現在告訴我怎麼解因為時間差不多到了齁這個馬上人家上街頭訴求你怎麼樣解讓
transcript.whisperx[444].start 12723.891
transcript.whisperx[444].end 12746.333
transcript.whisperx[444].text 本土小洋衣也能夠吞進去讓國外的洋衣也能夠吞進去你該怎麼處理你該告訴我怎麼處理我想我們還是第一個我們還是重申我們維持每年50個這是國際性的這1到10年來都沒有變我們也不會去增加第二個我們在學歷的認定就按照110年6月通過的法的修法
transcript.whisperx[445].start 12746.894
transcript.whisperx[445].end 12746.914
transcript.whisperx[445].text 偏鄉計劃
transcript.whisperx[446].start 12769.085
transcript.whisperx[446].end 12791.648
transcript.whisperx[446].text 他的確需要去補足現在限定是55個沒有牙醫師的鄉鎮我們給阿你偏鄉機會就是為波波來開門的沒有沒有沒有完全沒有實習現在已經不去做實習這邊是來我就問你一句話我們用本國的而且是有執照的24億裡面是不是絕對沒有波波是不是請問一下請問一下目前沒有目前沒有以後也沒有啊不要目前你
transcript.whisperx[447].start 12792.869
transcript.whisperx[447].end 12809.81
transcript.whisperx[447].text 沒有那種為了潑潑實習那一套當然如果說他是國外的學歷我們是以本國優先嘛那如果說譬如說他是雪梨大姐畢業然後就下這個國外預先其實他有執照啦其實這個應該目前也被排除掉現在我們以國
transcript.whisperx[448].start 12811.994
transcript.whisperx[448].end 12834.983
transcript.whisperx[448].text 國內畢業的優先喔不是優先啦一定啦百分之百啦現在問題是這55個偏鄉真的就是需要牙醫是所以還是有可能撥撥嘛那是沒有現在不會用撥撥大家所擔心的是開放實習名額那我們現在又做的完全沒有這回事
transcript.whisperx[449].start 12836.492
transcript.whisperx[449].end 12849.496
transcript.whisperx[449].text 最後一個我就請問你喔面對這個爭議我提供一個建議來個總量管制大家的科技可以嗎總量管制管理是國內國外的科技考試你們定考試你們定
transcript.whisperx[450].start 12855.093
transcript.whisperx[450].end 12867.421
transcript.whisperx[450].text 總量管制!就是不管你國內國外的總量管制!這樣子的話!柏坡跟本土營就可以取得平衡點!大家考試來評實力!沒有啦!你現在總量管制!你現在沒有總量管制啦!總量管制落實!確實落實!不要專門為柏坡開後門!你才有解啦!
transcript.whisperx[451].start 12884.433
transcript.whisperx[451].end 12889.217
transcript.whisperx[451].text 謝謝主席我也謝謝侯孟愷委員願意跟我換順序我請一下邱部長還有石耀署跟醫師司長
transcript.whisperx[452].start 12903.209
transcript.whisperx[452].end 12924.858
transcript.whisperx[452].text 委員好部長好部長這個我們從當同事到現在第一次來質詢您我想還是要先謝謝這個衛福部跟立法院還有朝野黨團共同合作來通過再生醫療法的這個案子那再生醫療法母法通過了以後其實我們還有9項的執法還有待進行我想請教一下現在9項執法的進度是怎麼樣
transcript.whisperx[453].start 12926.54
transcript.whisperx[453].end 12941.182
transcript.whisperx[453].text 委員這邊我們在生醫療法的9項執法規目前就是出稿的部分的話我這邊已經走完大概7個執法規然後那預計就是12月
transcript.whisperx[454].start 12942.108
transcript.whisperx[454].end 12945.17
transcript.whisperx[454].text .9個執法的第一次出稿討論.然後再進行後續的各項的討論.跟部長報告完之後其他的討論我相信明年
transcript.whisperx[455].start 12961.742
transcript.whisperx[455].end 12982.375
transcript.whisperx[455].text 明年年中以前都出不來這9項執法都出不來應該不會你這麼樂觀嗎我曾經跟你們周志浩次長討論過這件事情他說因為你們內部的同仁尤其法規的同仁對於執法的制定非常的嚴謹他說一定要定到大家都沒有意見才會送出來
transcript.whisperx[456].start 12983.436
transcript.whisperx[456].end 12983.676
transcript.whisperx[456].text 法定人數不足
transcript.whisperx[457].start 13014.296
transcript.whisperx[457].end 13039.985
transcript.whisperx[457].text 推動再生醫療法也是我一生的信念再生醫療法還沒有通過之前有一個叫恩慈療法這個我相信您也很清楚恩慈療法就是要來適應緊急醫療的現在的藥物無法治療的或者是病人有緊急需要的他就會透過恩慈來申請這樣的一個治療方式部長你知道你們的恩慈療法每一個申請大概要經過多久的審核時間你知道嗎你知道嗎
transcript.whisperx[458].start 13042.796
transcript.whisperx[458].end 13057.394
transcript.whisperx[458].text 每一個病人來申請恩慈要經過多久的審核時間不過我是希望愈快愈好因為你跟我講你希望愈快愈好但是你這個希望下不去嘛部長我跟您報告每一個恩慈最少要經過3個月以上
transcript.whisperx[459].start 13059.241
transcript.whisperx[459].end 13085.736
transcript.whisperx[459].text 緊急醫療的病人危急的病人血癌的病人多發性骨髓瘤的病人都已經在緊急了來申請恩慈他還要審查3個月以上一關又一關一關又一關我最近接到一個病人的請求他親自寫了一封信給我他跟我說委員你可不可以幫幫我跟衛福部說讓我接受恩慈的跨梯治療
transcript.whisperx[460].start 13087.844
transcript.whisperx[460].end 13102.183
transcript.whisperx[460].text 他送件三次現在是第三次了前兩次被食藥署駁回駁回到這個病人已經沒有辦法了他來求救他希望食藥署能夠救他他希望食藥署能夠早日審核他的
transcript.whisperx[461].start 13103.004
transcript.whisperx[461].end 13126.4
transcript.whisperx[461].text 他的申請報告能夠讓他接受咖啡的治療部長如果人民的健康是你一生的職質的話你應該要正視這個結果是了解你們的審核如果這個藥廠過去送的件過去治療的case過去他的所有的文件都在衛福部裡頭有備案的話為什麼不能加快腳步呢
transcript.whisperx[462].start 13127.501
transcript.whisperx[462].end 13147.308
transcript.whisperx[462].text 為什麽不能讓病人得到他應該有的治療呢為什麽不能讓病人的right to try能夠實際的進行呢這是我今天為什麽還特別來質詢衛福部一個很重要的原因如果執法不能早日通過他們現在只能仰賴恩慈恩慈審核要三個月你叫這些病人怎麽辦
transcript.whisperx[463].start 13148.388
transcript.whisperx[463].end 13159.094
transcript.whisperx[463].text 我時間已經到了但是部長我希望你能夠回去好好的盯緊這件事情好不好一定一定我覺得我們旁邊太多眾今天需要緊急來處理謝謝謝謝邱委員繼續我們請黃孟凱委員質詢好謝謝請麻煩邱太元部長
transcript.whisperx[464].start 13183.615
transcript.whisperx[464].end 13200.58
transcript.whisperx[464].text 委員好邱部長這兩天因為勞動部的這個霸凌事件那也有爆料是說這個疾管署也有類似的狀況那當然已經講說一個禮拜內會調查完畢是那但是我想請教一下您知道疾管署裡面有幾個組或幾個中心嗎7個組5個組兩個中心5個組兩個中心嘛齁那其中這個
transcript.whisperx[465].start 13210.552
transcript.whisperx[465].end 13229.082
transcript.whisperx[465].text 調職率或是離職率最高的是哪一個組?整備組就是被爆出來的這個組總共有37%那平均籍管署過去去年一年內調職率多少?12%會不會覺得很奇怪?為什麼?
transcript.whisperx[466].start 13231.872
transcript.whisperx[466].end 13260.162
transcript.whisperx[466].text 部長其實這件事情大家在講是說就如同勞動部為什麼我們會看到那個北區分署會有說兩年內這個分署長在那邊結果有81位員工寧願降調寧願平調我也要趕快逃離那個地方他就是明顯高於其他的這個單位不正常的離職狀況那一樣的道理整備組在過去這五月到現在平調其他單位六人
transcript.whisperx[467].start 13260.962
transcript.whisperx[467].end 13262.348
transcript.whisperx[467].text 跳到其他機關6人 辭職1人 調職或辭職總共13人 達37%
transcript.whisperx[468].start 13267.438
transcript.whisperx[468].end 13296.549
transcript.whisperx[468].text 不覺得這樣子高於平均是很奇怪的事情嗎異常的數據出來我們就要趕快來是系統性的部長你是醫學出身嗎醫學看到的很多時候我們是要用儀器用數據來去監控這個病人身體狀況有沒有其他反應那一樣到如果說把衛福部當成是一個人體的話是不是各個數據出來發生異常的時候指數是異常的我們要去了解一下應該是不是是部長
transcript.whisperx[469].start 13297.429
transcript.whisperx[469].end 13324.521
transcript.whisperx[469].text 本席真的希望這個可能不第一件但是我們希望是最後一件我們也不希望說有任何人在我們機關裡面要虎揚威或者是說把公天下變成是家天下一個禮拜大家都會看你的報告請一定要如實秉公處理可以嗎絕對是絕對是秉公處理好那部長秉公處理另外一個部分本席上一次在這邊質詢你什麼議題你記得嗎
transcript.whisperx[470].start 13329.38
transcript.whisperx[470].end 13353.032
transcript.whisperx[470].text 沒關係啦 電子菸啦我們明年的機關稅出稅入的這個增加預算本期看了一下 300多億我們多增加衛福部多增加300多億元其中國民健康署增加了55億原本113年的預算只有56億國民健康署一次增加一倍變111億
transcript.whisperx[471].start 13357.714
transcript.whisperx[471].end 13384.567
transcript.whisperx[471].text 111億其中最大中為什麼有這個癌症篩檢的部分41億所以整個提升了一倍是好瞭解要錢給錢但是重點在於是我們當然是會審查預算可是有沒有做到我們關心的議題我上個禮上一次我們直覺說已經三個禮拜過去了我講是說我們怎麼會放任電子煙那麼明明不是
transcript.whisperx[472].start 13385.632
transcript.whisperx[472].end 13397.712
transcript.whisperx[472].text 合法的東西指煙算合法喔可是他必須要有身份證件18歲以上才能購買到超商我還會看你的身份證件結果電子煙完全不合法
transcript.whisperx[473].start 13398.891
transcript.whisperx[473].end 13426.429
transcript.whisperx[473].text 我們居然可以容忍讓他在網路上可以搜尋的到然後還可以購買購買完之後還來到這個超商他外包裝還沒有包裝就是還可以把他遮蔽所以你根本不知道說他裡面內容物是什麼所以也沒有檢查身份證件你說不能容忍我也看到了我們國建署新聞稿講說112年開始加強網路取締那我想請教三個禮拜過去了
transcript.whisperx[474].start 13428.086
transcript.whisperx[474].end 13448.468
transcript.whisperx[474].text 部長現在google還是搜尋的到第一頁打電子煙三個字我都已經我今天其實有點哀莫大於心死三個禮拜前我滿腔熱血我想說罵了之後你可能你不知道說那麼嚴重我罵完之後趕快是不是能夠比照其他違禁品
transcript.whisperx[475].start 13449.489
transcript.whisperx[475].end 13450.51
transcript.whisperx[475].text 包委我們其實一直在努力包括
transcript.whisperx[476].start 13464.637
transcript.whisperx[476].end 13486.058
transcript.whisperx[476].text 包括各個地方政府都有說我們現在的NI防治法抓到以後沒辦法跟他默入跟銷毀所以我們最近也在研究來給他更大的力量部長我真的完全沒有感受到我要不要借一下我的ipad給你你現在搜尋一下電子煙三個字我們要不要看一下說現在google搜尋電子煙三個字出來會是什麼還是他們的官網
transcript.whisperx[477].start 13490.362
transcript.whisperx[477].end 13510.598
transcript.whisperx[477].text 怎麼處理我講了三個禮拜了所有委員在上一次的專案報告裡面罵了那麼多結果到現在我今天如果我是打什麼很奇怪的特殊的暗號密碼拐彎抹角才搜尋到那可能大多數人已經搜尋不到了
transcript.whisperx[478].start 13511.926
transcript.whisperx[478].end 13525.09
transcript.whisperx[478].text 但是現在不是現在是你搜尋網站一打開電子菸三個字大辣辣直接就搜尋到官網就出來了三天就到貨了便利商店就拿到了我們一點辦法都沒有嗎
transcript.whisperx[479].start 13528.985
transcript.whisperx[479].end 13554.326
transcript.whisperx[479].text 來來來來來來來
transcript.whisperx[480].start 13554.506
transcript.whisperx[480].end 13569.646
transcript.whisperx[480].text 抱歉喔 占用一些時間喔來剛剛署長我其實都很客氣啦可是剛剛署長講說有針對跨平台跨國開罰這是你10秒鐘前講的來過去對於這些跨平台開罰你罰了多少錢罰了誰罰了誰
transcript.whisperx[481].start 13573.857
transcript.whisperx[481].end 13583.422
transcript.whisperx[481].text 之前不是告訴我們說那個是外國的公司網站設在外面所以你根本不知道人在哪裡他的地址在哪裡你的罰單要寄給誰啊
transcript.whisperx[482].start 13584.844
transcript.whisperx[482].end 13608.598
transcript.whisperx[482].text 我們對於像臉書在臺灣的混國書我現在不是講臉書不要混淆不要委員不是那好糊弄的啦拜託一下我現在從頭到尾沒有講臉書不是臉書上面我現在直接講google你打開google搜尋關鍵字不用什麼特殊技能電子煙就搜尋到他們官方網站了結果
transcript.whisperx[483].start 13609.522
transcript.whisperx[483].end 13633.273
transcript.whisperx[483].text 之前質詢你們講說因為那是跨國公司跨國企業他的IP機房設在國外所以我們抓不到沒辦法那時候我們講是說我沒有辦法抓到他們因為那可能涉及跨國犯罪那我們能不能跟速發部大家討論就至少在我們境內臺灣境內擋IP要求Google臺灣境內不能搜尋到因為他在臺灣就是不合法有些國家也許合法
transcript.whisperx[484].start 13633.993
transcript.whisperx[484].end 13634.533
transcript.whisperx[484].text 我剛提到的我們是對這些平台開罰
transcript.whisperx[485].start 13655.182
transcript.whisperx[485].end 13661.348
transcript.whisperx[485].text 那剛剛提到的遮蔽的部分我們也跟樹化部跟那個NCC一起討論那就是現在都還沒有遮蔽那各部會必須要來強力一起來合作部長
transcript.whisperx[486].start 13671.893
transcript.whisperx[486].end 13686.535
transcript.whisperx[486].text 為什麼會那麼的語重心長就是因為我知道這個世界不完美但我們能夠做到除了法令的完整以外我們讓犯罪成本提高讓一般的民眾不會那麼容易取得違禁品
transcript.whisperx[487].start 13687.296
transcript.whisperx[487].end 13705.488
transcript.whisperx[487].text 因為現在的狀況是如果說連一個12歲15歲的小朋友他只要會搜尋Google一打三天下訂便利商店就買的到了我們怎麼樣防止電子煙禁校園我們怎樣防止我們青少年不去接觸這才是最大的問題
transcript.whisperx[488].start 13708.524
transcript.whisperx[488].end 13709.225
transcript.whisperx[488].text 這個我沒有辦法接受好不好好 謝謝好 謝謝紅門改委員 謝謝部長
transcript.whisperx[489].start 13736.206
transcript.whisperx[489].end 13737.749
transcript.whisperx[489].text 那接下來我們請吳立法委員質詢
transcript.whisperx[490].start 13753.891
transcript.whisperx[490].end 13780.82
transcript.whisperx[490].text 委員好部長好請教您一個問題您衛福部那邊有沒有資料或者你知不知道原住民族我們洗腎的人數您大概知道嗎所有原住民我們剛剛突破60萬人口60萬人您知道原住民洗腎人口多少嗎
transcript.whisperx[491].start 13784.397
transcript.whisperx[491].end 13797.003
transcript.whisperx[491].text 我們洗腎的時候不用申報豬群所以要另外再查部長您之前很謝謝您跟我們一起推動原住民族健康法是
transcript.whisperx[492].start 13797.662
transcript.whisperx[492].end 13815.657
transcript.whisperx[492].text 原住民族健康法為什麼要設立就我們講的嘛原住民的健康資料嘛要建立嘛要不然我們要解決健康不平等的現象連最基本的資料都沒有我們在談論的時候都不知道根據什麼好那我再請教部長您一個問題假設你有聽過納馬下鄉吧
transcript.whisperx[493].start 13821.119
transcript.whisperx[493].end 13822.64
transcript.whisperx[493].text 算比較高喔
transcript.whisperx[494].start 13848.557
transcript.whisperx[494].end 13850.399
transcript.whisperx[494].text 法定人數不足
transcript.whisperx[495].start 13864.847
transcript.whisperx[495].end 13890.183
transcript.whisperx[495].text 那個時候有開一個叫做安心上工可是那個時候我爭取是因為我們原住民部落不約而同每個部落都有自主防疫站所以當時希望給他們一些安心上工的一些費用好現在我有告訴原民會原民會有一個原住民就業基金我說啊我們這一些洗腎的人一個禮拜洗三天
transcript.whisperx[496].start 13890.964
transcript.whisperx[496].end 13919.094
transcript.whisperx[496].text 他根本沒有辦法就業但是他又不是沒有能力工作我說能不能夠比照這種安心上工的概念一個禮拜能夠有20個小時讓他起碼有個15000塊不要讓他成為部落家裡的依賴人口讓他也能夠就他的能力去做事所以原民會已經有幫我做一個規劃原地及時就業協助那些洗腎人口就業我現在也想問
transcript.whisperx[497].start 13920.194
transcript.whisperx[497].end 13940.74
transcript.whisperx[497].text 我們的偏鄉醫療部長我們就是因為醫療不足的問題造成我們常常吃成藥亂吃成藥加上一些其他的因素我們的洗腎人口很多啊很辛苦啊能不能夠例如有個行動醫療行動洗腎車這樣的概念來幫助我們偏鄉可以嗎
transcript.whisperx[498].start 13946.209
transcript.whisperx[498].end 13969.23
transcript.whisperx[498].text 我想解決偏鄉這個問題是我們不可逃不可避開的責任當然這個可能要跟專家討論洗聖車這樣的一個特性性我其實我也關心過我也問過次長之外願意支持
transcript.whisperx[499].start 13970.305
transcript.whisperx[499].end 13988.564
transcript.whisperx[499].text 如果專家覺得這樣的效益或者成果是不錯我覺得我們應該要支持偏鄉行動洗車可以嗎好那我接下來我要問另外一個問題你知道嗎我們的原建法已經通過一年
transcript.whisperx[500].start 13989.645
transcript.whisperx[500].end 14007.026
transcript.whisperx[500].text 去年的12月29號在國衛院那邊基於原建法有一個原住民健康研究中心正式揭牌我只剩不到兩個禮拜就要投票選舉我還特別去參加揭牌啊我只是為了傳達一個概念啊
transcript.whisperx[501].start 14007.927
transcript.whisperx[501].end 14027.124
transcript.whisperx[501].text 可不可以我們好不容易爭取到的這個是當時主條審查最後協商10秒我爭取到的四個字把文化安全四個字寫入法條中可是我說我們連這個原住民族健康研究中心難道這個主任不可以是我們原住民嗎一年了沒消沒息
transcript.whisperx[502].start 14033.154
transcript.whisperx[502].end 14046.463
transcript.whisperx[502].text 部長文化安全的概念要從這個地方做起為什麼我這樣講你去看原住民族健康研究中心的網站空白一片連組織什麼都沒有因為他是用堅韌的給副院長堅韌的這樣對待我們原住民族健康研究中心好不容易等了十幾年的法
transcript.whisperx[503].start 14061.55
transcript.whisperx[503].end 14089.11
transcript.whisperx[503].text 我們要從人開始做起我們的資料也沒有過去以來都是原民會拜託國衛院做這個原住民的健康統計年報那原住民健康統計年報是我們原住民族健康研究中心很重要的工作所以這個部分我拜託部長你們幫忙一下好不好然後最後一個議題我知道我沒有時間我講但是到我辦公室來談就是我講的
transcript.whisperx[504].start 14090.293
transcript.whisperx[504].end 14115.509
transcript.whisperx[504].text 文件站對原住民太好了做得太好了過去蔡英文8年從以前不到1億的經費竟然現在一年可以超過13億也有我們的長照基金來做文件站做得太好了但是多少年來我們做詬病一直在唸在罵的就是沒有照顧到我們的重度失能老人
transcript.whisperx[505].start 14116.601
transcript.whisperx[505].end 14136.622
transcript.whisperx[505].text 沒有沒有好不容易今年8月有一個原鄉住宿市長照機構在台東開幕平原你知道嗎光是三元平原平均餘命就差三歲結果呢你們也有一個獎勵補助的計劃竟然沒有例如像屏東縣這種大縣
transcript.whisperx[506].start 14138.644
transcript.whisperx[506].end 14159.298
transcript.whisperx[506].text 原住民大縣也沒有任何一個原鄉因為你們說不需要床位足夠你就沒有文化安全的概念了嘛怎麼會認為這樣子呢所以我覺得這個部分不要用捕破網的方式你們說不需要床位
transcript.whisperx[507].start 14160.558
transcript.whisperx[507].end 14186.845
transcript.whisperx[507].text 然後用了一個多元發展計畫沒有納入山地園鄉我們要住宿室你們給我社區室然後呢你們的方法叫做多元結果呢創新我也不知道在創新什麼你們所謂的多元就是日照加夜照我告訴各位加拖連夜照都不要做他說很危險我又沒有醫生我重症患者我怎麼處理而且我也要喘息啊
transcript.whisperx[508].start 14187.825
transcript.whisperx[508].end 14202.853
transcript.whisperx[508].text 沒有不需要他們不要所以到最後我們的重症患者我們的重度失能還是需要住宿型的安養中心結果遠離部落排不到公費床位然後也沒有能力去就在家裡
transcript.whisperx[509].start 14204.249
transcript.whisperx[509].end 14230.251
transcript.whisperx[509].text 所以很辛苦我希望賴總統已經長照3.0了他也講了不能不包含原鄉住宿型的機構不要用一般的模式我們既然有原建法既然大家承認文化安全文化敏感就是表示要積極性的差別待遇我們不能用一般的標準去看這件事所以呢因為時間的關係我希望這個部分可以到辦公室我們一起討論可以嗎
transcript.whisperx[510].start 14231.072
transcript.whisperx[510].end 14231.552
transcript.whisperx[510].text 主席主席主席
transcript.whisperx[511].start 14258.683
transcript.whisperx[511].end 14262.024
transcript.whisperx[511].text 好謝謝主席那請我們邱部長好部長部長在上個月底我們中國大陸福建省有公布了他的最新的政策措施就是拋出漳州市5年內要向臺灣的護理人員
transcript.whisperx[512].start 14288.905
transcript.whisperx[512].end 14289.205
transcript.whisperx[512].text 當然有當然有
transcript.whisperx[513].start 14310.592
transcript.whisperx[513].end 14330.88
transcript.whisperx[513].text 那針對這部分因為我們護理人員其實現在已經非常缺乏那像澳洲美國其實也都一直有在像我們在挖角那現在又中國大陸又加入這個行列那不知道我們衛福部針對這部分有沒有什麼措施來因應謝謝委員的關心關心護理人才的
transcript.whisperx[514].start 14332.901
transcript.whisperx[514].end 14359.811
transcript.whisperx[514].text 的一個培育跟留任那這個部分我們國家本來就就是設定了一個三大方向的時候策略一直在積極進行希望不管是越多人來念然後考照率能夠提高留任的工作場域能夠更好薪水能夠更高對我知道有我們像我們針對這部分有推一些措施比如說剛剛有提到那個
transcript.whisperx[515].start 14360.871
transcript.whisperx[515].end 14382.207
transcript.whisperx[515].text 大陸提的價錢我們這裡已經都比他高了我們這裡的薪水都比他高了所以大概那個不太可能可是你有沒有覺得說因為我知道我們部裡當然有一些措施那像有沒有一些比較具體的措施能夠留住這種護理人才其實
transcript.whisperx[516].start 14383.408
transcript.whisperx[516].end 14403.145
transcript.whisperx[516].text 像八大醫治團體其實他們都有一直來提出聲明說要優化更好的護理工作環境以及為辛苦的護理人員加薪其實最好的方式還是保障我們的健保點值那針對這部分部長你的看法呢
transcript.whisperx[517].start 14406.311
transcript.whisperx[517].end 14422.344
transcript.whisperx[517].text 我想給醫護人員能夠加薪更好的一個薪資我覺得是現在政府一直在努力的包括我們現在希望提高健保電子投入這個更多的健保資源
transcript.whisperx[518].start 14423.084
transcript.whisperx[518].end 14443.243
transcript.whisperx[518].text 其實重點就是改善一個工作環境讓我們的醫療人員能夠更好的薪水能夠留得住來照顧人對所以針對八大醫事團體針對說他們覺得這個最好最落實的政策方式就是保障健保點子0.95那這部分部長你同意嗎
transcript.whisperx[519].start 14445.545
transcript.whisperx[519].end 14465.618
transcript.whisperx[519].text 在政府這個部分不只其實只要大家我們現在投入的健保的資源其實有700多億所以明年度會有更多很多的讓大家醫療工作整個國家的醫療工作人員能夠有更有量能來照顧保障健保點子0.95基本上
transcript.whisperx[520].start 14470.311
transcript.whisperx[520].end 14487.29
transcript.whisperx[520].text 他們提出這個應該是最有效的方法這部分部長你認不認同我們一致支援只要大家管理得當的話我相信甚至可以超過0.95對所以保障健保點值對於我們
transcript.whisperx[521].start 14488.482
transcript.whisperx[521].end 14511.421
transcript.whisperx[521].text 對於留住這護理人員也是一個具體措施的方法嘛對不對保障護理人員有更多啦我們直接跟他加薪直接跟他獎勵金這個可能跟點子就沒關係我們現在用公務預算保障健保點子也是一個很有效的方法那是一部分啦那但是直接像現在是用公務預算直接給他獎勵
transcript.whisperx[522].start 14512.102
transcript.whisperx[522].end 14528.11
transcript.whisperx[522].text 所以保障健保點值也是一個有效的方法嗎?你應該不反對吧?不反對嘛對不對?好,那我們衛福部跟立法院在這次保障健保點值協商什麼時候通過這組決議?部長記得嗎?上次是9月吧?
transcript.whisperx[523].start 14534.98
transcript.whisperx[523].end 14547.475
transcript.whisperx[523].text 好沒關係他是在113年7月16號7月16號那可是我看你們健保署網站最新公布的預估點值在113年第二季
transcript.whisperx[524].start 14550.498
transcript.whisperx[524].end 14568.371
transcript.whisperx[524].text 那我們看到他這個浮動點值居然退回到108年的水準只剩下0.8847那不但沒有執行我們幾個月前的主決議居然這個健保點值還退步到5年前的水準這部分部長你有沒有注意到
transcript.whisperx[525].start 14572.233
transcript.whisperx[525].end 14593.303
transcript.whisperx[525].text 我的意思是說不但沒有到0.95而且還退到108年的水準所以這部分我是認為部長之前不管在委員會還是在總質詢在媒體之前你都承諾會努力在明年6月我們達成健保點子保有0.95的目標
transcript.whisperx[526].start 14594.884
transcript.whisperx[526].end 14609.059
transcript.whisperx[526].text 沒有錯吧這個部長在媒體也說過我一再重申我們會努力而且在努力之下以及現在行政院挹注的支援之下我相信應該會在有應該是會所以部長你也是設定這個目標嗎對對對
transcript.whisperx[527].start 14611.121
transcript.whisperx[527].end 14633.668
transcript.whisperx[527].text 那可是我們現在看到不但沒有往這個目標前進而且還倒退到108年0847你現在提的這個部分是第二季啦對103年第二季就是4到6月啦那是自從大家的鼓勵之下那所以我們現在降勢用命支援益助希望
transcript.whisperx[528].start 14635.052
transcript.whisperx[528].end 14654.009
transcript.whisperx[528].text 一直有提升其實像第三季在幾個區的一個點子就相當都有成長的不錯對我今天提出就是希望部長你不要忘記你的承諾跟自己說過的話要在明年6月達成那因為你現在
transcript.whisperx[529].start 14654.73
transcript.whisperx[529].end 14679.985
transcript.whisperx[529].text 我看沒有往這目標前進還反而倒退我們是非常憂心部長說的一定是往前進的啦我怕部長說的這個會變成空頭支票大家會一起努力但是一定會前進部長你說會朝這方向努力那可是我看到衛福部這次提出的公務預算只有300多億那裡面300多億還包含了撥補
transcript.whisperx[530].start 14681.466
transcript.whisperx[530].end 14699.516
transcript.whisperx[530].text 國民年金的130多億那如果以這種預算你認為衛福部明年6月有辦法達到0.95嗎根本沒有看到你的預算你要怎麼做那個是公務預算因為其實所有的部門就只有衛福部
transcript.whisperx[531].start 14700.736
transcript.whisperx[531].end 14728.175
transcript.whisperx[531].text 增加最多增加了300多億那你看喔你這個健保署提供的點子的數據再加上你的預算部長你明年6月底有信心達成嗎我們是很憂心看不到我們要單獨來看看那個健保這個部分就是說從公務很多從原來是應該在健保我們移出公務預算這個就100多億那部長你有信心達成嗎然後加上總額總額我們
transcript.whisperx[532].start 14731.598
transcript.whisperx[532].end 14742.695
transcript.whisperx[532].text 這次最高推估也到達5.5我們會往這方面來努力那如果照你現在這樣的預算你認為明年6月你有信心達成嗎
transcript.whisperx[533].start 14744.076
transcript.whisperx[533].end 14770.955
transcript.whisperx[533].text 我想大家一起努力應該很有機會達成你有沒有保證你有沒有辦法保證這種點子是一種各區管理的事情有時候可是你在委員會總質詢還有媒體訪問之前你都一直說要朝這個目標可是我們現在看你這個編列預算我們覺得像空口支票我們是另外還有健保健保這次的總額增加非常多所以部長你還是朝這個目標在邁進嘛對不對
transcript.whisperx[534].start 14774.057
transcript.whisperx[534].end 14795.108
transcript.whisperx[534].text 當然一定全力以赴好那針對以上的部分我們希望針對我們衛福部一個月內之內可以把護理人員流失到國外醫院任職的人數能夠提出這個數據還有檢討報告這部分有辦法做到嗎以利我們後面護理流財的政策
transcript.whisperx[535].start 14796.277
transcript.whisperx[535].end 14819.043
transcript.whisperx[535].text 怎麼去進行我們委員所隨時的我們來瞭解好麻煩你把這個數據做出來應該我們現在國內的護理條因為我們現在是非常憂心啦現在護理荒啦然後而且也看得到我們現在各國都在挖這個護理人員所以把這個數據統計出來然後再提出這個檢討報告還有針對我們健保點子0.95的部分
transcript.whisperx[536].start 14824.824
transcript.whisperx[536].end 14850.644
transcript.whisperx[536].text 也希望提出這個計畫因為從這個預算真的看不出怎麼樣子去進行也讓我們能夠追蹤衛福部保障健保點值施行的進度然後讓我們能夠估這個預期的成效可以嗎好那這部分請部長要來讓我們來完成還有針對我們一直之前有提出部桃新屋分院
transcript.whisperx[537].start 14851.755
transcript.whisperx[537].end 14873.534
transcript.whisperx[537].text 我現在看不到我們部桃新屋分院的進度捏部長記不記得我們還要去考察過這個一直有進度這個謝謝委員齁非常關心我也是關心那邊海線那邊真的非常感動也非常重要啦齁所以我們義務會在這邊一直努力那現在的進度呢現在已經準備在接受第二次的審查這林市長講
transcript.whisperx[538].start 14874.835
transcript.whisperx[538].end 14893.542
transcript.whisperx[538].text 委員跟報告委員就是我們那個135床那其實是他的一般病床還包含的是6床的特殊病床還有8間的手術房因為這部分是我們經過我們的外部委員特別是在義工在另外的我們的整個建設的裡面我們要把他的設置標準弄得最符合我們現在的規定那
transcript.whisperx[539].start 14893.962
transcript.whisperx[539].end 14909.142
transcript.whisperx[539].text 已經經過第二次的這個審查了在11月中旬大概一個禮拜多那委員有提出一些這個修正的意見那等部立桃園醫院這邊會把修正意見給我們我們就會再進入部裡面再送到行政院去
transcript.whisperx[540].start 14909.642
transcript.whisperx[540].end 14927.853
transcript.whisperx[540].text 部長因為這個我們也去考察過你知道沿海醫療品質這些資源真的是非常匱乏可是你說這個有進度可是我看114年這醫療藥品基金會的預算書上面我沒有看到有關於我們部桃新屋分院
transcript.whisperx[541].start 14929.124
transcript.whisperx[541].end 14948.201
transcript.whisperx[541].text 大樓動工的所有任何的預算都沒有看到他的預算因為要先經過我剛講的就是說我們的建這個蓋醫院的委員看了以後那要報行政院行政院這邊因為他們要去爭取公建計畫那經過國防會這邊同意以後我們才會編列預算那預估這個19.3億的經費我們會分5年來編列
transcript.whisperx[542].start 14953.726
transcript.whisperx[542].end 14976.483
transcript.whisperx[542].text 那有關新聞分院的預算大概什麼時候會編列我們大概是會在115年就是明年如果行政院這邊通過我們就會所以明年會編列就是列到115年好因為我看114年是沒有你說115年會編列因為他的行政流程還沒有完成好那希望針對這部分我們大家都非常關切那趕快進度
transcript.whisperx[543].start 14977.023
transcript.whisperx[543].end 15001.883
transcript.whisperx[543].text 一定要來按照這個進度來進行那115年會編列我們把那個行政流程趕快完成那還有針對我們部桃樂生療養院樂生療養院從日記時代1930年創立到現在他之前也是收容麻風病患可是他現在已經轉型成為地區型的綜合醫院那針對這部分
transcript.whisperx[544].start 15003.504
transcript.whisperx[544].end 15023.717
transcript.whisperx[544].text 因為他一直掛上療養院地方的鄉親很多民眾說一直都還被誤解成他這是精神病院的療養院那民眾還有很多地方鄉親都希望是不是能夠證明為衛生福利部熱身綜合醫院是不是有這個證明的可能機會
transcript.whisperx[545].start 15026.911
transcript.whisperx[545].end 15050.497
transcript.whisperx[545].text 公務委員報告陸森醫院當然就是說已經是非常年代已久那從日據時代到現在那他其實是已經是地區的教學醫院他已經評鑑通過所以他有將近20個科別那188床的健身床剛剛您提到他非常正確就是我們現在漢森月明慢慢的就越來越現在只剩下56名的漢森月明他原本有一個漢森的病房那邊是135床這
transcript.whisperx[546].start 15052.017
transcript.whisperx[546].end 15075.306
transcript.whisperx[546].text 後面那邊是不是要來做改建這是一種方向阿第二個是您剛關心的那個要改名字因為會牽涉到這個熱身療養院的定位因為還是有一些所謂過去對文資文史這一塊那我們當然也是會責成熱身療養院一起來評估相關的醫療資源那特別是他所在的地方將近有10%的桃園願民桃園的民眾有來熱身療養院
transcript.whisperx[547].start 15078.387
transcript.whisperx[547].end 15101.362
transcript.whisperx[547].text 好我今天會提出就是因為有很多的學生的家長跟學子他們有時候去那邊看病看診可是他拿一些藥帶回去是熱身療養院他說有時候會造成他們的困擾有時候其他的同學學生看到之後會有一些隱憂所以才會提出這個是不是直接
transcript.whisperx[548].start 15102.122
transcript.whisperx[548].end 15111.011
transcript.whisperx[548].text 他居然已經是綜合醫院是不是就可以把他改名為樂森綜合醫院這樣子是不是能夠解決地方的一些困擾跟疑惑
transcript.whisperx[549].start 15113.346
transcript.whisperx[549].end 15137.909
transcript.whisperx[549].text 好 我們會再質詢齁 這個可能也不是叫中衛院比較我們部立的比較少用的就是樂生醫院好 沒關係 他就是能夠證明 然後因為他現在是地區型的綜合醫院那就請我們衛福部這邊怎麼樣來給他一個證明好不好好 這個我們因為已經有提出這個疑惑跟誤解了那我也希望說能夠解決地方鄉親居然有提出 而且
transcript.whisperx[550].start 15138.77
transcript.whisperx[550].end 15163.163
transcript.whisperx[550].text 覺得改圍醫院也是實至名歸因為它現在確實是地方型的綜合醫院好 這個當然剛剛執行長有講要多方考量那我希望這個因為我們有提出真的是地方的需求那我相信說這個改圍醫院應該也是適得其所是好 那請部長這邊來跟我們協助幫忙好 了解好 謝謝好 謝謝圖委員 謝謝部長
transcript.whisperx[551].start 15167.952
transcript.whisperx[551].end 15187.362
transcript.whisperx[551].text 接下來我們請吳春成委員質詢報告委員為我們在羅志強委員質詢完畢後休息20分鐘好謝謝主席我們有請部長
transcript.whisperx[552].start 15196.806
transcript.whisperx[552].end 15212.357
transcript.whisperx[552].text 委員好部長好看到你就很開心像笑面佛一樣的謝謝現在這樣的環境很需要你這樣子謝謝帶給大家信心剛才那個圖委員講那個樂生療養院為什麼要改名
transcript.whisperx[553].start 15220.902
transcript.whisperx[553].end 15237.208
transcript.whisperx[553].text 這要證明啊,證明很重要對不對,所以這個部長就是你有很開放的那種思維,不會僵死在那個地方,所以你有同意說改成熱身醫院嘛,這真的好聽多方考量啦,因為文資文史的歷史
transcript.whisperx[554].start 15241.77
transcript.whisperx[554].end 15251.137
transcript.whisperx[554].text 他本身現在就是醫院嘛,有醫院的功能他本來就有醫院的功能嘛,所以證明很重要所以部長你認同把老人引髮族也證明為壯世代嗎?嗯
transcript.whisperx[555].start 15261.075
transcript.whisperx[555].end 15261.415
transcript.whisperx[555].text 當機是不是
transcript.whisperx[556].start 15291.656
transcript.whisperx[556].end 15318.024
transcript.whisperx[556].text 有阿強的陰謀阿強的陰謀你現在時間上幫我停一下這一個有不是這一個是嗎OK好那你呢下一頁呢不對啊你弄到舊的是不是是不是你檔案剛才為什麼會跑掉
transcript.whisperx[557].start 15321.363
transcript.whisperx[557].end 15325.726
transcript.whisperx[557].text 對這樣來臨的一個社會你覺得它是一個悲慘世界
transcript.whisperx[558].start 15349.504
transcript.whisperx[558].end 15375.736
transcript.whisperx[558].text 還是一個美麗新世界我們可以創造美麗新世界所以你認為他可以嘲笑美麗新世界一定要這樣做為什麼一定要這樣子嘛對不對沒得選擇一定要這樣子嘛齁因為為什麼要問這個問題喔這一個的你的信心跟你的想像會決定你的政策你的解方是如果你把它當作是悲慘世界你提出來的都是悲慘解方
transcript.whisperx[559].start 15376.815
transcript.whisperx[559].end 15390.826
transcript.whisperx[559].text 是嗎?對不對?哪一種思維就會往哪一方面對哪一種思維?那你覺得我們現在政府普遍的大概都把他當作什麼?悲慘世界
transcript.whisperx[560].start 15392.014
transcript.whisperx[560].end 15392.875
transcript.whisperx[560].text 先在這裏
transcript.whisperx[561].start 15416.943
transcript.whisperx[561].end 15434.564
transcript.whisperx[561].text OK因為這個少子高齡化社會定型影響層面很多那這個衛福部在這裡面扮演非常重要的角色不管是少子化不管是高齡化都是你們衛福部的事情因為其他部位都不想管
transcript.whisperx[562].start 15436.939
transcript.whisperx[562].end 15463.136
transcript.whisperx[562].text 大家一起努力啦都沒有在管啦我剛才質詢文化部回來他們就整個就變一千萬而已啊而且還是做什麼那個就是各部會就是覺得60歲以後就沒辦法啦青菜應付就好了啦我60幾歲了所以基本上你也是現在要自求多福自求多福
transcript.whisperx[563].start 15464.216
transcript.whisperx[563].end 15478.656
transcript.whisperx[563].text 政府沒人在理你但是這個越來越多問題越嚴重衛福部若繼續這樣子一定會崩潰你也是承受不住的所以
transcript.whisperx[564].start 15483.564
transcript.whisperx[564].end 15505.133
transcript.whisperx[564].text 總之呢是不是要請衛福部我們現在整個基本上的認知就把這高齡者視為叫引法族為什麼要證明因為引法族每天包括大家討論的就是臥床的問題就是醫院的問題就是一種社會負債的問題安養晚年特殊對待
transcript.whisperx[565].start 15506.84
transcript.whisperx[565].end 15513.367
transcript.whisperx[565].text 那衛福部可不可以把它翻轉成為你就停留在那邊我時間快到了你不要再變來變去了
transcript.whisperx[566].start 15517.723
transcript.whisperx[566].end 15541.361
transcript.whisperx[566].text 那個變成壯世代想像他有30年的健康餘命這叫做美麗新世界30年健康餘命我們現在可以為他們做什麼我們應該要怎麼設計包括整個社福的一個的機構他們需要只脫離生理安全的需求而渴望自我實現他們希望能夠促進世代的循環
transcript.whisperx[567].start 15543.411
transcript.whisperx[567].end 15557.191
transcript.whisperx[567].text 需要精彩的第三人聲OK這個就是OK所以呢好我前面我也跟那個講一下就是上個禮拜資訊月
transcript.whisperx[568].start 15558.533
transcript.whisperx[568].end 15587.237
transcript.whisperx[568].text 我壯世代跟速發部合作辦了一個因為資訊院通常都是年輕人在玩電腦的地方我今年跟速發部合作辦了一個叫壯世代董資樂園董資訊的樂園而且你那個名稱要活潑一點董資董資因為他們有董資券嘛政府都有發董資券所以叫董資樂園你知道創造了什麼爆發壯世代人潮
transcript.whisperx[569].start 15588.88
transcript.whisperx[569].end 15609.744
transcript.whisperx[569].text 所謂的你們所謂的銀髮族大批的銀髮族大概有幾萬人進入資訊業每一個人玩得不亦樂乎所以呢你看抒發部都可以這樣做衛福部可以這樣做嗎系各部會為什麼如果你過去都叫做樂齡什麼資訊區有人要去啦
transcript.whisperx[570].start 15613.769
transcript.whisperx[570].end 15613.909
transcript.whisperx[570].text 委員會主席
transcript.whisperx[571].start 15633.035
transcript.whisperx[571].end 15645.6
transcript.whisperx[571].text 改變一點身份改變一點思維這就叫美好的新世界這叫做美好新世界它會創造很多我以前衛福部我們是不是可以一起努力來推動所以最後
transcript.whisperx[572].start 15653.612
transcript.whisperx[572].end 15663.44
transcript.whisperx[572].text 最後一點就是我現在在推動撞促法撞失在政策的產業發展促進法我們要重要的一點
transcript.whisperx[573].start 15665.047
transcript.whisperx[573].end 15684.827
transcript.whisperx[573].text 就是要做一個雙軌制雙軌制的一個現在除了照護性的政策之外是不是需要一個發展性的政策因為照護性的政策大概只能現在照顧16%的這個失能需要健康長照護的但是我們有84%龐大的這一些
transcript.whisperx[574].start 15687.549
transcript.whisperx[574].end 15698.256
transcript.whisperx[574].text 你完全沒有政策是不是可以發展壯世代的政策成為一個在我們未來不管在做社福的思維當中一個雙軌的一個制度這個請問部長你贊不贊成
transcript.whisperx[575].start 15700.9
transcript.whisperx[575].end 15724.734
transcript.whisperx[575].text 創世代您的任期是相當的大那相關的年齡層其實我們每一個年齡層其實從出生以後到安老到善終所有的生命歷程我們都有需要照顧的任務所以請放心在創世代所包圍的範圍其實相關的一個健康照顧的政策都會有
transcript.whisperx[576].start 15725.114
transcript.whisperx[576].end 15744.123
transcript.whisperx[576].text 因為這個思維不一樣照顧者就是一個要支援狀態是要給支援只要你政府的政策方向的引導不要都從社福的思維都是大家都好像是社福支援的一個爭奪戰事實上狀態可以減少很多的社福的支柱這個非常好的方向好謝謝部長謝謝謝謝吳委員
transcript.whisperx[577].start 15751.973
transcript.whisperx[577].end 15752.453
transcript.whisperx[577].text 主席有請部長
transcript.whisperx[578].start 15770.663
transcript.whisperx[578].end 15796.791
transcript.whisperx[578].text 委員好部長好近年屢屢爆出各種層出不窮的食安事件那今年尤其今年就是剛開始的時候爆出很多件沸沸揚揚那但是最近我在追蹤後續關於食安的問題有些問題可能要就教一下部長那食藥署在顯示比方說顯示香辛料的抽驗不合的這個比例
transcript.whisperx[579].start 15799.092
transcript.whisperx[579].end 15817.501
transcript.whisperx[579].text 從111年的5.9%暴增到112年的16.5%那今年也甚至還有所謂的蘇丹紅事件你認為現在目前為什麼會有這麼大幅度的暴增呢那這是反映我們的邊境的一個查驗的一些遇到的一些問題呢
transcript.whisperx[580].start 15819.466
transcript.whisperx[580].end 15841.756
transcript.whisperx[580].text 當然是報告委員我們當然是社會比較關注到食安所以在查緝的量能就必須增加去查如果有任何違反食安的問題就會呈現出來所以是不是這樣子他的事件就會比較呈現我想把
transcript.whisperx[581].start 15842.916
transcript.whisperx[581].end 15856.054
transcript.whisperx[581].text 事件呈現出來然後去把它解決它應該是一個正面的方向重要的是我們有沒有大家一起努力來落實我們食安五環來保障我們人民食安的健康
transcript.whisperx[582].start 15857.6
transcript.whisperx[582].end 15879.995
transcript.whisperx[582].text 那我跟部長說當然你可以講說這個查驗我支持查驗的那個量要大那這樣子那個涵蓋面就比較夠可是我今天也是要提醒一下說目前來看真的我覺得我們的食品安全的那個問題跟威脅其實越來越大這點希望衛福部能夠多加注意比方說國際食品安全的警訊食藥署
transcript.whisperx[583].start 15881.296
transcript.whisperx[583].end 15883.439
transcript.whisperx[583].text 紅黃綠燈資訊的發布量從109年的414則到112年是大增為1849則
transcript.whisperx[584].start 15891.892
transcript.whisperx[584].end 15917.646
transcript.whisperx[584].text 今年截止到7月到了1353則推估全年會到2300則甚至首次會出現紅燈的警訊我在想說現在這個問題坦白講你如果從414到所謂的2300那已經是將近5倍多了那這麼嚴重的一個狀況不知道現在目前衛福部的因應的狀況是怎麼樣
transcript.whisperx[585].start 15924.778
transcript.whisperx[585].end 15943.096
transcript.whisperx[585].text 報告委員 第一個是先回復委員剛剛在問部長的說說為什麼我們檢查的那個比例持續升高那跟委員報告的是我們現在第一個就是我們透過AI的系統我們增加那個抽查率抽查的高危險性的抽查率所以
transcript.whisperx[586].start 15943.776
transcript.whisperx[586].end 15962.253
transcript.whisperx[586].text 後來抽中的率比例就會比較高第二個件事是因為現在有實案我們有很多都是逐批查驗那逐批查驗以後後來就會檢查的比較高這是第一就是要回復委員為什麼最近的抽查的比例有涵那個實案問題的越來越高第二個就是剛剛委員在問這個
transcript.whisperx[587].start 15963.814
transcript.whisperx[587].end 15983.404
transcript.whisperx[587].text 紅黃綠燈
transcript.whisperx[588].start 15983.464
transcript.whisperx[588].end 16005.624
transcript.whisperx[588].text 那我就提醒現在其實不只台灣內部啦這國際環境上食品安全問題其實也在變得比較我覺得環境面變得比較更嚴峻你就發現這個食品安全問題其實但我也跟你講我覺得跟我們的環境變化包括現在科技發展還是有點關係所以食品安全的那個問題也變得更加的複雜所以希望我們的衛福再努力一下
transcript.whisperx[589].start 16006.024
transcript.whisperx[589].end 16029.389
transcript.whisperx[589].text 那最後一個根據食藥署統計110年到112年有2220批次的食品不合格但是只有1.04%的批次被要求銷毀其他都是採退運處理那這種退運的方式是一個合適的方式嗎請教部長我想應該按照我們現在的法規來落實
transcript.whisperx[590].start 16033.119
transcript.whisperx[590].end 16039.596
transcript.whisperx[590].text 因為過去你也知道曾經發生退運之後他又換一個方式又跑回來嘛有發生過在蘇安紅事件上就曾經遇過
transcript.whisperx[591].start 16045.38
transcript.whisperx[591].end 16065.904
transcript.whisperx[591].text 報告委員那個是如果現在是查出蘇丹色素我們一律是銷毀是不得推運對但我是講蘇丹因為蘇丹紅鬧得很淡這麼做那代表其他部分基本上為什麼不這麼做呢你蘇丹紅可以這麼做其他部分為什麼不這麼做我們再回去研究一下跟委員報告
transcript.whisperx[592].start 16068.598
transcript.whisperx[592].end 16068.618
transcript.whisperx[592].text 好 謝謝
transcript.whisperx[593].start 16096.076
transcript.whisperx[593].end 16123.746
transcript.whisperx[593].text 羅智祥委員,謝謝部長你兩個要挖不挖?挖啦,你挖不挖?你先講,我說你講了要吃飯啊你還在挖?好,我們請羅智祥委員質詢對不起,我已經準備好了,不好意思,衛福部部長,謝謝
transcript.whisperx[594].start 16130.256
transcript.whisperx[594].end 16155.064
transcript.whisperx[594].text 誰要署署長一起好不好好來署長齁昨天我們談了很多啊部長對於我生理食鹽水進口專案錯誤的法條引用還有我點出了三項人事案有問題你們在第一時間開記者會要打臉我然後現在呢我想你已經查清楚了沒沒有要打臉啦我們只是說明清楚了查清楚了沒你有沒有引用錯誤法條
transcript.whisperx[595].start 16158.332
transcript.whisperx[595].end 16169.716
transcript.whisperx[595].text 原來引用的法條可能不是那麼周全經過討論不是那麼周全所以你現在有私底下在修其他的法條希望能夠周全對不對對不對對不對所以你引用錯誤法條在第一時間開記者會打臉我你要不要跟我道歉
transcript.whisperx[596].start 16184.759
transcript.whisperx[596].end 16196.668
transcript.whisperx[596].text 石耀署署長有沒有開記者會以及第三項人事案你們現在私底下請他走人因為他是哲學系這個部分查清楚了沒回答
transcript.whisperx[597].start 16197.689
transcript.whisperx[597].end 16211.54
transcript.whisperx[597].text 你是不是有提供錯誤資訊給部長,讓部長不太知道的情況之下回答我,有沒有?對,所以是不是當時我所舉證的都是事實?你已經浪費了我一分多鐘,有沒有?部長,你要不要直接跟我道歉?
transcript.whisperx[598].start 16225.796
transcript.whisperx[598].end 16248.142
transcript.whisperx[598].text 報告委員因為那個時候是我們的還在收集資訊的時候當時而且我有跟委員報告說我們當時最早請用55條的原因是有那一個時空背景但是發現你們去請示了其他的部會說這樣子不適宜所以你們現在修整法條對不對跟全國百姓講一下你們是不是引用錯誤
transcript.whisperx[599].start 16252.085
transcript.whisperx[599].end 16280.541
transcript.whisperx[599].text 是就是不是就不是嘛對我們現在就是這件事情我發生了以後我們消息檢討就是說我那個55條法條引用事實上是不正確的那我們現在就開始用27我不是說要讓你丟臉只是說你第一時間回答委員的東西是錯誤的你想要打臉我但事實上你們內部去檢討以後發現自己有錯趕快改進但是你們開記者會去打臉委員對每個委員來說公平嗎你們是不是應該加以去佐證
transcript.whisperx[600].start 16281.946
transcript.whisperx[600].end 16310.515
transcript.whisperx[600].text 所以部長我再講一次進出口輸出役專案引用錯誤法條以及人事案你是不是應該跟全民道歉我想我們在10號時可以說是在發生事件以後非常緊急來這是有關於人民生命跟醫療用品所以你引用錯誤法條導致要害基金不賠所以要打消保法所以你要去逛百貨公司要記得累積點數然後還可以滿千送百
transcript.whisperx[601].start 16311.824
transcript.whisperx[601].end 16329.593
transcript.whisperx[601].text 這就是錯誤所以我一直在講我也一心一意啊我擔心你做錯了然後讓我們要害經濟部賠償最後受害的是人民啊所以你的目的良善我的目的就不良善還是你要感受一下目的良善所以是不是有錯就更正
transcript.whisperx[602].start 16337.552
transcript.whisperx[602].end 16362.104
transcript.whisperx[602].text 因為這是整個過程那也是我看起來你要跟我拖到最後30秒整個過程的一個用最適當的一個沒關係後續我還有很多的料沒關係我們繼續來竟然看不出你的誠意看不出你願意改正我想全民都在看那部長最近勞動部一個職場的霸凌事件全國震驚現在各個立委都收到了這封信我們一一看一下
transcript.whisperx[603].start 16362.924
transcript.whisperx[603].end 16388.308
transcript.whisperx[603].text 就是集管署的組長霸凌屬下的一個事件請問現在調查結果是如何我們昨天啟動調查一個禮拜之內會查清楚究責相關的流程到底要怎麼做誰要負責調查會不會立場偏薄我告訴你昨天已經一個勞動部他調查出來的結果大家全民能夠接受嗎他開的記者會全民能夠接受嗎
transcript.whisperx[604].start 16389.289
transcript.whisperx[604].end 16407.099
transcript.whisperx[604].text 不要再有立場偏頗不要再為自己找藉口內部的調查全民都失望這就是為什麼我們需要聽證權為什麼要國會改革讓我們來調查才能夠找出事實而不是你們的內部調查全民都已經不相信了可是現在呢
transcript.whisperx[605].start 16407.859
transcript.whisperx[605].end 16419.822
transcript.whisperx[605].text 又有這樣子的一個土皇帝就在你們衛福部集管署昨天我在這邊也一直講各個部位請注意把你們內部有相關案例都應該如實的找出來
transcript.whisperx[606].start 16421.479
transcript.whisperx[606].end 16446.074
transcript.whisperx[606].text 昨天說兩個禮拜今天變一個禮拜我現在要通知你立場有沒有偏頗誰要來調查你要不要講清楚說明白絕對不偏頗我請事由機關署機關署委員好那我們現在是有找兩位外部的專家就是一個是法律專家一個是心理諮商的專家另外我們署內有兩個委員但是都跟這位組長不熟會組成委員會那會
transcript.whisperx[607].start 16447.435
transcript.whisperx[607].end 16468.075
transcript.whisperx[607].text 主要就是說我們會先今天開始其實我們已經有一個匿名的問卷給這個我們的主員來同仁來填那根據那個問卷收來之後我們會去請這個委員來決定要來面談的一個同仁那這個部會也會找那個之前有離職的一個同仁來做詢問以上
transcript.whisperx[608].start 16468.635
transcript.whisperx[608].end 16485.547
transcript.whisperx[608].text 我想事情已經發生已經有潛力了齁今天他開記者會不開還好一開全民爆炸相信你們應該有智慧不要重蹈覆轍最後我要提醒你中興大學申請了複設醫院案共499創你知不支持部長
transcript.whisperx[609].start 16486.687
transcript.whisperx[609].end 16488.708
transcript.whisperx[609].text 目前教育部還沒回溫因為他是教育部體系的學校所以會有雙重主管
transcript.whisperx[610].start 16506.721
transcript.whisperx[610].end 16522.98
transcript.whisperx[610].text 我想雙重主管的問題交一步我會再來今天難得來到衛福部我希望部長你可以支持在台中這樣子醫療量能夠提升這是我們台中市民還有民意代表該做的這部分麻煩你了解可以嗎我想我們會非常客觀的來評估來
transcript.whisperx[611].start 16524.963
transcript.whisperx[611].end 16542.582
transcript.whisperx[611].text 來協助整個臺中的一個醫療資源能夠充分好最後我想波波醫生最近很多的報導都指出有這樣子的900個波波醫生我想請問你你的管控要如何你知道他們都在哪裡職業嗎這部分你們有登記嗎有醫事人員的系統可以追查到醫事登錄的一個職業場所嗎有嗎
transcript.whisperx[612].start 16546.775
transcript.whisperx[612].end 16555.942
transcript.whisperx[612].text 你第一個委員所寫的這個波波醫生900個是報載指出有900個波波醫生在等那個等牙醫嗎不只是牙醫波波醫生對不起你沒有在狀況內報載登載的這麼大900個波波醫生網路都在討論我知道900個那個名單那個
transcript.whisperx[613].start 16575.785
transcript.whisperx[613].end 16582.353
transcript.whisperx[613].text 所以你有沒有相關的這些系統能夠追蹤這些人的疑似登錄職業場所有沒有
transcript.whisperx[614].start 16589.552
transcript.whisperx[614].end 16606.824
transcript.whisperx[614].text 委員我補充一下我們只要是中華民國合格的醫師我們其實有醫事管理系統會知道他在哪裡執業可是血力這件事情並不在我們登錄系統裡面以上
transcript.whisperx[615].start 16607.384
transcript.whisperx[615].end 16629.969
transcript.whisperx[615].text 我想名單牽涉到各支我們都尊重但是部長要怎麼增加民眾的信任度本席這才是真正在乎的臺中市民有資的權利就醫的選擇權所以我想請問部長在臺中地區有哪幾家醫療院所是有波波醫師牙醫師職業看診你可以告訴我們嗎這我們手頭上應該沒有這種資料
transcript.whisperx[616].start 16631.351
transcript.whisperx[616].end 16657.722
transcript.whisperx[616].text 所以就是沒有掌握嗎你要就是承認你跟全民承認你沒有這樣的資料沒有我們無法掌握我們是說好第一個就是醫師的考試要一定要有執照然後他的繼續的教育訓練包括他的專科醫師的訓練還有他執業以後的繼續教育我想時間有限喔我會去追蹤這些案子我也跟你告訴我們今天所講的這三個案子麻煩你後續有相關的資料請給我們知道一下好的是好謝謝
transcript.whisperx[617].start 16662.306
transcript.whisperx[617].end 16678.562
transcript.whisperx[617].text 好 謝謝謝謝何委員繼續我們請張雅玲委員質詢要不要戴鴨尾 鴨尾可以先吃沒關係啦不要不要 要善待自己齁一直拖啦 梁祥銘講話還要讓你們吃飯啦 真夭壽
transcript.whisperx[618].start 16685.674
transcript.whisperx[618].end 16686.014
transcript.whisperx[618].text 首先我們先來邀請部長 謝謝
transcript.whisperx[619].start 16707.19
transcript.whisperx[619].end 16731.237
transcript.whisperx[619].text 委員好我想在開始之前我剛剛有聽到委員在講說這一些的霸凌事件非常需要來秉公處理要有第三方的介入來完整的呈現因為這一條人命離去之後應該要留給我們的是教訓以及改革我想部長也是非常認同那我也要反駁一下前一位羅廷偉委員說的就是
transcript.whisperx[620].start 16732.958
transcript.whisperx[620].end 16757.237
transcript.whisperx[620].text 國會聽證權已經被大法官判定為違憲不要再拿這一件事情來趁機作亂這是一個違憲的事件不需要再拿聽證權所以我希望衛福部一定要來徹底的調查這件事情那剛剛也有講到一個禮拜要提出調查報告這個我們也非常的期待我們也會持續的來關注那接下來我就回到我今天原本要來質詢的題目
transcript.whisperx[621].start 16759.684
transcript.whisperx[621].end 16759.744
transcript.whisperx[621].text 國建署長
transcript.whisperx[622].start 16775.199
transcript.whisperx[622].end 16796.137
transcript.whisperx[622].text 我想要針對於找聊預算的部分因為其實我們在講找聊是非常非常重要的一件事情那我們現在其實找聊的量能其實都還不足沒有達到一個世界應該有的一個標準但是我卻看到在我們人數上升的時候我們找聊的預算卻跟去年相比少了1500萬
transcript.whisperx[623].start 16798.908
transcript.whisperx[623].end 16806.232
transcript.whisperx[623].text 那我有點不太了解就是說明明人數就在增加啊我們量能根本都還沒到為什麼我的預算會少1500萬可不可以請署長做個說明
transcript.whisperx[624].start 16811.201
transcript.whisperx[624].end 16829.873
transcript.whisperx[624].text 我想我們在找來的部分分成兩個部分一個是聯評中心的部件的部分那另外一個是我們今年7月要開始推行的6次的一個成長評估的部分那這兩個加起來我們總共的建位應該是在5.5到6億之間
transcript.whisperx[625].start 16832.857
transcript.whisperx[625].end 16859.334
transcript.whisperx[625].text 對所以所以應該是說我們是有增加嗎跟去年來說我們增加多少呢大概增加了1.73億左右1.73億就是來做剛剛講的部件對不對跟6次的部分好那我想再確認一件事情就是說我知道我們現在在做找療的時候呢如果他今天是透過這個兒童找療的特別門診的話其實我們是會有通報跟追蹤的機制對嗎我理解是這樣子
transcript.whisperx[626].start 16860.114
transcript.whisperx[626].end 16879.811
transcript.whisperx[626].text 但是如果今天家長是透過一般復健門診的話我們其實就沒有通報了對嗎也沒有辦法去追蹤他還是可以走原來的通報系統但是我確認過醫院現在是這個一般的復健門診進來的是沒有進入通報系統
transcript.whisperx[627].start 16880.834
transcript.whisperx[627].end 16895.042
transcript.whisperx[627].text 因為通報系統在中央是社交組在地方的話是在社政我們來瞭解一下好那這部分是不是可以跟社政一起來瞭解一下因為我想喔因為現實上就是這些孩子有可能因為我們家長
transcript.whisperx[628].start 16896.222
transcript.whisperx[628].end 16920.184
transcript.whisperx[628].text 家長的一些覺得這是貼標籤的行為或是他家族壓力不希望自己的小孩有狀況或者是說關於保險所以造成了這些孩子最後沒有進入這個系統來去協助他那這會造成什麼樣子的問題就是等他到上學了之後跟人際衝突那開始就會產生我們所謂的這些學校的衝突霸凌事件都非常有關聯
transcript.whisperx[629].start 16921.525
transcript.whisperx[629].end 16936.92
transcript.whisperx[629].text 所以這個變成是早期的對家長的教育非常的重要所以我想社家屬也責無旁貸一定要來積極的積極的來協助做更多的溝通跟瞭解為什麼他們不願意通報以及該如何協助他們通報
transcript.whisperx[630].start 16938.792
transcript.whisperx[630].end 16955.032
transcript.whisperx[630].text 這部分社家署跟國建署是不是可以一起來合作呢我們來研議看看竟然當然先導鼓勵還有怎麼樣來強化兩邊的一個連結因為這個通報系統能夠更完整好那這個署長呢社家署
transcript.whisperx[631].start 16956.536
transcript.whisperx[631].end 16981.132
transcript.whisperx[631].text 有關通報的部分其實不管是在門診或者是在找療藥系統他其實都是可以去通報但是我問了我問的是大型醫院他們是說一般是沒有通報的那沒關係因為我想你的理解跟現場執行上面出現了落差那就變成說因為我詢問的還是超大型醫院
transcript.whisperx[632].start 16981.832
transcript.whisperx[632].end 16998.737
transcript.whisperx[632].text 他都沒有通報可是他這邊是接收到最多的嘛那到底發生了什麼事情那這部分就請社家署跟國健署一起來了解好嗎那我想齁盤點一下我們現在的各大型醫院縣市到底有沒有做一般的門診的通報這部分可以做個盤點嗎我們來調查一下啦好那大概什麼時候可以給我調查結果一般的福建門診
transcript.whisperx[633].start 17011.946
transcript.whisperx[633].end 17037.247
transcript.whisperx[633].text 這大概什麼時候可以給我一個調查結果大概多久因為我想這是回到兒少最佳的話利益原則所以這大概什麼時候可以給我兩個禮拜好不好好兩個禮拜謝謝那再來就是我要請我們謝謝國建署署長可以請回謝謝那我想要在社家署也可以請回接下來我想要請教部長就是說
transcript.whisperx[634].start 17039.79
transcript.whisperx[634].end 17055.446
transcript.whisperx[634].text 我們在我想學生自殺率、智商率節節上升而且昨年增加大幅度的增加我想這是不爭的事實我想部長也非常非常的清楚那尤其是在國中端的部分可以幫我按下一頁嗎?他沒有反應
transcript.whisperx[635].start 17057.343
transcript.whisperx[635].end 17079.869
transcript.whisperx[635].text 我們現在是有一些心理的我們國家是有提供一些心理諮商的服務在15到45歲所以我看這張表我想部長你可以看一下在國中的這一條黃色線10到14歲它裡面其實包含的是國中端的部分這一段其實也是在增加可是我們現在其實並沒有提供相關的青壯世代的心理健康支持方案
transcript.whisperx[636].start 17080.729
transcript.whisperx[636].end 17110.203
transcript.whisperx[636].text 那我在想我們是不是可以針對國中端的這個部分一起來提供來研議啦是不是可以提供這個免費心理諮商的補助之前我其實也有質詢過教育部了那希望他們可以來跟衛福部一起來努力這個部分我想要聽聽看衛福部的意見針對國中端延伸到國中端這一部分好我們會跟教育部來一起協同努力那新建室要不要看狀況報告一下
transcript.whisperx[637].start 17111.689
transcript.whisperx[637].end 17140.226
transcript.whisperx[637].text 謝謝委員關切這個呃國中生的一個呃自殺的一個問題喔那因為現在學校呃在教育部的部分是有呃學校三級輔導的一個機制那興建師這邊主要是在社區這邊做資源的部件但是針對國中生的心理健康我們也非常的關心所以我們會跟教育部這邊一起來演繹如何在呃國中這個階段能夠加強他們的心理健康那我希望可以在一個月內跟教育部討論好嗎呃好那結束之後各位的書面報告謝謝謝謝主席
transcript.whisperx[638].start 17140.686
transcript.whisperx[638].end 17141.086
transcript.whisperx[638].text 請楊雄英委員質詢
transcript.whisperx[639].start 17160.362
transcript.whisperx[639].end 17186.15
transcript.whisperx[639].text 委員好部長本週日11月24號呢反波波大遊行的三大訴求那這個方向呢我想你在這個衛福部在上個禮拜五你也宣布你就說暫緩海外醫學生赴偏鄉實習規定是嗎對然後接下來呢這個你本週二也又表示是不是
transcript.whisperx[640].start 17187.056
transcript.whisperx[640].end 17187.356
transcript.whisperx[640].text 同樣的立場,同樣的狀況
transcript.whisperx[641].start 17217.652
transcript.whisperx[641].end 17226.141
transcript.whisperx[641].text 應該是增加因為這55個我們加強他的設備鼓勵本國的牙醫師這55個但是你說是要以本國的學歷優先嗎資深醫師也可以去啊我們是鼓勵資深醫師能夠去嘛
transcript.whisperx[642].start 17236.992
transcript.whisperx[642].end 17253.628
transcript.whisperx[642].text 鼓勵那但是人家願不願意來所以我們現在會用各種辦法第一個我們譬如說他願意到衛生所去執業然後我們就跟他買相關的所有的設備儀器馬上當地的無牙醫的問題就解決了
transcript.whisperx[643].start 17254.249
transcript.whisperx[643].end 17269.834
transcript.whisperx[643].text 我希望做好社會的共識也就是說對醫界的聲音你希望他去他不一定要去他條件不一條件不符他當然不去這是你方的想法所以本席非常希望能夠落實
transcript.whisperx[644].start 17270.774
transcript.whisperx[644].end 17295.689
transcript.whisperx[644].text 你把你的方案你要去我把你設備都做好那這是現在你的理念理想條件要怎麼做我可以給你怎麼樣我希望部長你也是來自意見你應該去盤點那這55個偏鄉裡頭那到底會怎麼樣去落實不影響到民眾的權益這是本席今天跟你討論的我跟委員報告一下
transcript.whisperx[645].start 17296.67
transcript.whisperx[645].end 17298.433
transcript.whisperx[645].text 我當總醫師當完以後就到群體醫療臺大派我到群體醫療之類的中心金山那個時候是沒有醫師你現在已經是部長了你現在是部長的立場不是公告啦不是講你的歷程啦你要講
transcript.whisperx[646].start 17312.692
transcript.whisperx[646].end 17314.193
transcript.whisperx[646].text 你現在要怎麼樣讓這55個無牙醫的偏鄉他能夠有牙醫啦因為你的編列預算裡頭呢你編列了24億啊要優化偏鄉的醫療這個計畫第二期嘛對不對當然嘛好就這個議題請你請你
transcript.whisperx[647].start 17334.759
transcript.whisperx[647].end 17363.943
transcript.whisperx[647].text 沒問題我希望很快可以看到說我們每一個地方沒有再無牙醫的這個偏鄉嘛那也希望我們也希望多一點牙醫師願意來下鄉這是你你要拿出你的對應方案嘛有有有我們給我們給他設備給他保障師來你把方案給本席我希望達到55個無牙醫偏鄉的這個能夠彌平這個我們非常希望趕快來解決這個問題對你把方案給本席
transcript.whisperx[648].start 17365.784
transcript.whisperx[648].end 17392.58
transcript.whisperx[648].text 接下來本席要請教你那個0.95我們立法院大家決議過了那我也很感謝你在院會的時候我們在討論你也打胸部說我一定會達成這個是對的因為這個是最公平的這個人民納稅錢的一個軍用就是每一家每一戶都有那你這明年的預算怎麼來呢
transcript.whisperx[649].start 17397.725
transcript.whisperx[649].end 17419.057
transcript.whisperx[649].text 719億嘛0.95我們把很多增加了不少那個增加了大概有兩三百億的公務預算然後再加上那個我們這次的健保總額這個很重要健保總額我們用高推估大概5.5%所以我們如果高推估的話預計可以增加了大概500億嗎
transcript.whisperx[650].start 17425.701
transcript.whisperx[650].end 17431.786
transcript.whisperx[650].text 500多億那這樣加起來大概會增加712億增加的一個健保的資源你講的這兩項來源會有這個712億這個有部分是這個健保應該是在健保的基金裡面不是在公務預算這邊
transcript.whisperx[651].start 17446.198
transcript.whisperx[651].end 17469.848
transcript.whisperx[651].text 所以換句話說明年有9000多億的健保總額所以換句話說也就是114年健保點值補助到1.0.95元那這個金額你已經有來源是OK沒問題的也不是說補啦我是說我們大家一起工作自然就到0.95這樣子部長
transcript.whisperx[652].start 17473.81
transcript.whisperx[652].end 17482.236
transcript.whisperx[652].text 什麼大家一起公佈公佈公佈就自然達到0.95你現在給人家到0.82欸怎麼可以講話你現在是部長你不是立法委員你不是議事會你不只這個身份你是部長你要政策告訴人家明年的1.0.95是沒問題的你來源沒問題我們要聽的是這個
transcript.whisperx[653].start 17495.026
transcript.whisperx[653].end 17516.881
transcript.whisperx[653].text 對不對因為這個牽涉到疾病的形態的一個變化還有管理的情況如果這個都穩定的話我們就可以達到0.95應該是沒有問題最後這一句話算數我還是聽最後這一句話部長所以務必要達到這是立法院商黨決議當然當然行政部門就是遵照決議大家來努力最後一個議題
transcript.whisperx[654].start 17523.544
transcript.whisperx[654].end 17533.111
transcript.whisperx[654].text 2030年你要減少癌症死亡率三分之一2030年我們看到你醫療保健支出是315.7億那比這個113年你是增加了128.46%
transcript.whisperx[655].start 17540.896
transcript.whisperx[655].end 17560.535
transcript.whisperx[655].text 那你公布了癌症從71年到112年都是全國十大死因之首而且108年到112年你是排行榜前五名主要就是癌症那當然他的醫療費用是一直在增加所以部長你說要從
transcript.whisperx[656].start 17561.355
transcript.whisperx[656].end 17585.36
transcript.whisperx[656].text 要到2030年減少癌症死亡率三分之一來達到對國人生命健康的一個重視這是對的方向要怎麼做呢比如說臺灣的肺癌那麼多那你這個肺癌篩檢你是不是從預防重於治療這樣你可以減少後端很多的醫療支出我們是不是應該要讓這個肺癌的篩檢
transcript.whisperx[657].start 17588.018
transcript.whisperx[657].end 17613.875
transcript.whisperx[657].text 委員的指教非常正確檢查這樣子你看以往我們推動的子宮頸啊這一些啊現在大家成效都出來也保障國人安全那肺癌的部分呢肺癌的部分我們一直在推啊所以早出所以肺癌突然他那個除了預防跟治療也精進了不少在預防我們推出的那個低劑量的篩檢以後呢
transcript.whisperx[658].start 17617.278
transcript.whisperx[658].end 17619.761
transcript.whisperx[658].text 答到那個條件就免費阿
transcript.whisperx[659].start 17633.097
transcript.whisperx[659].end 17640.585
transcript.whisperx[659].text 對阿 達到那個條件就來不及了 拜託本期告訴你的是預防的這一塊怎麼做我所謂的 那是 我現在在講預防 我們現在在講預防阿誰有條件去做篩檢嘛 不是說我想去做就是當然我們就會設定在比較高危險群我們去叫 請他去做篩檢 這樣比較早的出來啦阿這個效果相當好
transcript.whisperx[660].start 17655.96
transcript.whisperx[660].end 17677.201
transcript.whisperx[660].text 對高危險群的你們是不是可以做一個方案我覺得這個已經在做了對已經在做但是有一些人還是我都沒辦法我都沒錢可以去賺錢所以你那個範圍你到目前還是第一名你那個範圍你已經有成效你那個範圍是不是可以怎樣再擴大
transcript.whisperx[661].start 17677.882
transcript.whisperx[661].end 17692.038
transcript.whisperx[661].text 好好好我們希望這個能夠需要的人都能夠被塞到塞到以後我們好好地給他治療需要的人都能夠被塞到要怎麼樣讓需要的人可以塞到一定一定一定你把它擴大好不好
transcript.whisperx[662].start 17695.522
transcript.whisperx[662].end 17702.184
transcript.whisperx[662].text 會演繹阿,因為這個要實證好不好,對對對對,你演繹嘛好不好,演繹方案出來嘛好不好,謝謝好,謝謝原委員,謝謝部長,現在休息20分鐘
transcript.whisperx[663].start 18949.656
transcript.whisperx[663].end 18962.145
transcript.whisperx[663].text 好大家坐好啦繼續開會啦我們剩下我們四個本委員會的齁保護時間好我們現在請楊耀文質詢好謝謝主席主席請一下邱部長
transcript.whisperx[664].start 18979.096
transcript.whisperx[664].end 18983.843
transcript.whisperx[664].text 委員好部長好部長我還是想要就
transcript.whisperx[665].start 18986.124
transcript.whisperx[665].end 19009.935
transcript.whisperx[665].text 建保的幾個問題跟部長先做個探討原因是什麼呢?原因是在未完委員會已經處理了一個勞保的大洞一直補不滿所以我們在建保還沒有很大的問題之前必須要先有妥善的規劃
transcript.whisperx[666].start 19013.317
transcript.whisperx[666].end 19037.051
transcript.whisperx[666].text 那現在是這樣子就是因為你有承諾說行政部門有承諾在明年6月底之前健保點值要保障1.0.95元那我想要知道一下衛福部的預算大概打算從哪裡來
transcript.whisperx[667].start 19039.903
transcript.whisperx[667].end 19045.286
transcript.whisperx[667].text 謝謝委員,我想那個是大家各黨的決議,我們行政部門會全力往這個目標來努力
transcript.whisperx[668].start 19052.401
transcript.whisperx[668].end 19074.785
transcript.whisperx[668].text 大概分兩個部分一個是公務預算邊的增加這個部分大概增加了100多億這從原來在健保裡面我們把它挪出來做公務預算部長我想要請問一下從健保裡面挪出來是什麼意思
transcript.whisperx[669].start 19076.52
transcript.whisperx[669].end 19089.998
transcript.whisperx[669].text 因為公務預算這是公務預算嘛有些公共衛生的啦那本來應該由公務預算來支出這次相聲量很好就把這些
transcript.whisperx[670].start 19091.426
transcript.whisperx[670].end 19119.061
transcript.whisperx[670].text 所以變成由公務預算來支出這樣健保就不用去支付那些公共衛生的支出這其實我們清除不少啦就是原本就不應該是由健保來給付的那就是表示之前收的保費有問題啦不是收的保費有問題收的保費就是照顧人民健康啦你這些原本不應該由健保來給付嗎
transcript.whisperx[671].start 19121.443
transcript.whisperx[671].end 19136.396
transcript.whisperx[671].text 那你是用給付跟收費是一個平衡的狀態嗎?部長現在講的意思是說現在的公務預算是之前原本有健保給付的嗎?
transcript.whisperx[672].start 19140.539
transcript.whisperx[672].end 19163.81
transcript.whisperx[672].text 原來沒有公務預算這現在提出來當然是要變公務預算啊對啦對啦他可以提出來而且部長的意思是說這可以提出來就是感謝行政院願意來公務預算來處理這一塊啦這樣讓那個健保就有更多的空間嘛
transcript.whisperx[673].start 19165.071
transcript.whisperx[673].end 19176.194
transcript.whisperx[673].text 那這個部分大概政府就多撥了100多億然後我們其實很大的很重要的一件事情就是那個我們的健保總額336億
transcript.whisperx[674].start 19190.003
transcript.whisperx[674].end 19195.607
transcript.whisperx[674].text 所以算起來就是整個對健保的意志大概有712億就是假如要達到1.0.95必須要增加700多億原先算是差不多要700億我們現在整個712億
transcript.whisperx[675].start 19212.228
transcript.whisperx[675].end 19238.345
transcript.whisperx[675].text 就是說看怎麼樣來幫忙那你現在公務預算一百多億那還有六百多億從哪裡來從那個健保總部長現在講的七百多億是總數還是增加的你們預估要保障點值到0.9增加的七百一十二億是比以前多出來的比以前多出來的
transcript.whisperx[676].start 19240.805
transcript.whisperx[676].end 19244.209
transcript.whisperx[676].text 那得出來的動員你怎麼樣去處理這712億就是變成
transcript.whisperx[677].start 19248.28
transcript.whisperx[677].end 19264.929
transcript.whisperx[677].text 還是跟點子有關係那這個不是那公務預算100多億那其他呢其他有最少還有500多億啊增加了我們因為我們健保總額增加了531億喔531億然後加上111億齁我總原來這總額我會把它移出來齁這個這算起來齁還加上寒病齁寒病本來是
transcript.whisperx[678].start 19277.66
transcript.whisperx[678].end 19283.585
transcript.whisperx[678].text 所以大概全部都給100去年就是今年的總額增加了712億成長了8.13%
transcript.whisperx[679].start 19290.529
transcript.whisperx[679].end 19309.222
transcript.whisperx[679].text 沒有啊,我只是不知道你增加這裡700多億的裁員就比較明確的是一個裁員是一個行政院移住公務我們有兩個大部分一個是行政院有移住那行政院移住又有分兩大部分那個原來的
transcript.whisperx[680].start 19319.703
transcript.whisperx[680].end 19344.114
transcript.whisperx[680].text 總額移出來的有100多億那另外還有行政院譬如說我們現在那個癌症心藥基金還有其他的罕病的補助所以那個加起來所以行政院total連那個移出去的是300多億330幾億那另外一個是我們總額裡面的總額裡面的額度是由部長這邊來核定的今年會有比較高的額度所以他成長會比較高
transcript.whisperx[681].start 19346.539
transcript.whisperx[681].end 19363.032
transcript.whisperx[681].text 就是有一些是公務預算阿有一些是成長阿我剛才副市長講的其實有的我們沒有算在政府裡面那個就是有些對支出面有影響的我們才算進來那大概是
transcript.whisperx[682].start 19367.247
transcript.whisperx[682].end 19391.477
transcript.whisperx[682].text 111就突然點子要保障了所以就多出很多收入這個我也覺得很奇怪報告委員因為那個健保總額他每年會有一個成長率低推估成長率是今年是2點就是114年是2.652然後高推估會到5.5所以他前面有一筆錢就是如果我們今年真的把明年的114年的總額
transcript.whisperx[683].start 19393.038
transcript.whisperx[683].end 19422.228
transcript.whisperx[683].text 拉到最高的推估5.5的時候那筆也會產生一筆錢就是推估的啊推估的不是實際現在就一定有那個就是成長率他就是未來的就明年的成長率如果我們用掉真的用到5.5的話我們會有391億就是含低推估累積上來的在這個總額裡面那再來就是剛剛部長有提到的111億就是以前我們可能有些政策先用在健保來做總額支出
transcript.whisperx[684].start 19422.708
transcript.whisperx[684].end 19441.324
transcript.whisperx[684].text 現在也感謝行政院給我們爭取到用公務預算繼續做可是它可以移出一個空間那裡又有111億以上這樣補充因為我時間的關係我跟部長建議一下我覺得你們要不要考慮調整保費
transcript.whisperx[685].start 19448.283
transcript.whisperx[685].end 19471.253
transcript.whisperx[685].text 或者是補充保費然後呢或者是跟行政院做溝通把特定的稅收來挹注健保因為我剛剛就講過了我實在不願意看到未還三個部會裡面日後就有兩個部會有兩個大棟必須要補
transcript.whisperx[686].start 19474.912
transcript.whisperx[686].end 19492.967
transcript.whisperx[686].text 而且可能會一直公務預算的支出因為勞保現在已經很慘了那健保我真的是不大想再看到又有另外一個坑洞必須要一直補所以應該調整保費就調整保費
transcript.whisperx[687].start 19497.131
transcript.whisperx[687].end 19498.832
transcript.whisperx[687].text 應該找特定的稅收當作專款來預注
transcript.whisperx[688].start 19511.227
transcript.whisperx[688].end 19536.357
transcript.whisperx[688].text 就朝這個方向那你們必須要做的這個是開源節流的部分我覺得你們醫療分歧確實做得不夠踏實然後另外一個我現在講的是公部門還沒有牽扯到社會大眾就是就醫的觀念就是一個醫療分歧
transcript.whisperx[689].start 19538.058
transcript.whisperx[689].end 19559.436
transcript.whisperx[689].text 一個就是醫學中心無止境的增加我覺得這個都是都會讓剛剛我們講的是開源現在講的是節流你們假如說一方面開源也不去應該增加保費我想
transcript.whisperx[690].start 19560.7
transcript.whisperx[690].end 19579.559
transcript.whisperx[690].text 主動跟國人同胞講清楚大家會接受應該找特定的財源來預注我也不相信行政院找不出來這是開源的部分節流的部分我覺得醫療分級假如說
transcript.whisperx[691].start 19580.74
transcript.whisperx[691].end 19591.76
transcript.whisperx[691].text 若實了也可以減少你們的支出醫學中心假如不要像之前漫無止境的一直增加
transcript.whisperx[692].start 19593.854
transcript.whisperx[692].end 19623.235
transcript.whisperx[692].text 也不會造成資源的浪費好不好我當然這樣子的這麼大的一個題目不會只有今天的質詢講可是我比較重要的題目大概都已經先給部長了我最後跟部長講一個觀念大家都在討論波波牙醫我不知道為什麼你們會想出來把波波牙醫送到
transcript.whisperx[693].start 19624.807
transcript.whisperx[693].end 19651.473
transcript.whisperx[693].text 偏鄉我只講觀念我沒有任何的立場只是說你們推了一個計畫讓大家直接承認波波牙醫我不是說我的立場喔就是說你們把波波牙醫送到偏鄉直接就是表示你們的立場已經覺得波波牙醫矮人一傑
transcript.whisperx[694].start 19653.203
transcript.whisperx[694].end 19671.274
transcript.whisperx[694].text 另外一個面向就是你們把離島偏鄉的居民當作次等的國民我知道你們沒有那個意思啦但是你們的論述我在選區就被罵死了
transcript.whisperx[695].start 19672.815
transcript.whisperx[695].end 19691.897
transcript.whisperx[695].text 我說過我對哪一國的醫生我基本上沒有很大的意見可是是你們的計畫推出然後在做說明的時候導致了對於這些醫生跟對於偏鄉居民
transcript.whisperx[696].start 19693.601
transcript.whisperx[696].end 19701.567
transcript.whisperx[696].text 都很不公平謝謝部長 謝謝主席謝謝委員指教謝謝楊委員 謝謝部長接下來我們請王振旭委員質詢謝謝主席還是有請邱部長
transcript.whisperx[697].start 19723.686
transcript.whisperx[697].end 19741.851
transcript.whisperx[697].text 委員好部長好今天經過這麼長的時間雖然有20分鐘的休息不過有時候沒好睡覺這個勞勤要繼續謝謝大家共商國事大家都是為了我們臺灣社會民眾的健康還有要怎麼處理好大家用心不一樣
transcript.whisperx[698].start 19751.793
transcript.whisperx[698].end 19775.28
transcript.whisperx[698].text 我們也知道打造健康臺灣慢性病的防治是很重要因為我們慢性病防治可以做好的話也能更久也能更好所以今天就利用這個機會來跟部長討論一下有關於這個健康檢查來好好的整理好那個資料怎麼樣去統合才能夠落實這個預防醫學是
transcript.whisperx[699].start 19778.61
transcript.whisperx[699].end 19793.899
transcript.whisperx[699].text 那2024年的健康研連的建言書來的第三個議題就是要針對疾病防治癌症治療跟確認照顧理念真的是要好好的去擴展健康檢查來落實預防醫學我想這大家都很清楚現在北京一直堅持
transcript.whisperx[700].start 19795.02
transcript.whisperx[700].end 19809.486
transcript.whisperx[700].text 包括賴總統也期待透過這樣的方式來讓民眾不要因為身體有疾病以後才開始注意自己的身體這個是我們很能夠理解的可是到底
transcript.whisperx[701].start 19810.666
transcript.whisperx[701].end 19827.689
transcript.whisperx[701].text 之前的經驗是怎麼樣我們可以從這個資料看得出來這是2021年國民健康國民健康署這邊對不起打錯一個字我們是健康署署一署二的署這是國民健康署
transcript.whisperx[702].start 19828.976
transcript.whisperx[702].end 19850.347
transcript.whisperx[702].text 那個時候他們做了調查發現說過去3年來40到64歲有做過健康檢查才只有61.2%65歲他胸口比較皺只有45.7那大部分的原因都是因為自己都很健康啊根本沒這個需要那在座
transcript.whisperx[703].start 19852.067
transcript.whisperx[703].end 19868.455
transcript.whisperx[703].text 看起來很少人是40歲以下在座各位多少人遇到這個比例可能有一半不去做健康檢查沒有去做過健康檢查可能就不知道自己覺得自己的身體健康很好這是真的嗎還是有什麼風險存在
transcript.whisperx[704].start 19870.516
transcript.whisperx[704].end 19886.289
transcript.whisperx[704].text 這個就是我們期待部長很希望能夠打造健康臺灣的這個過程裡面有更好的誘因或更好的方法那我們可以看得出來這個包括說補助費用要翻倍
transcript.whisperx[705].start 19889.871
transcript.whisperx[705].end 19891.152
transcript.whisperx[705].text 那可是我們也想要了解的是說那
transcript.whisperx[706].start 19918.903
transcript.whisperx[706].end 19939.695
transcript.whisperx[706].text 如果真的做了健康檢查的話就變成是一個重要的議題分布在不同的地方來收集這些資料如果這個資料沒有辦法統整的話我們就沒有辦法建立一個大的數據庫那這樣就很可惜
transcript.whisperx[707].start 19940.695
transcript.whisperx[707].end 19965.609
transcript.whisperx[707].text 那我們目前看到的就是不同的這個對象的類別可以分勞工學生公務人員跟一般的民眾國人那這個都有一些法源依據來要求這些對象進行健康的檢查那這些健康檢查當然他會產出相關的資料那我們也知道勞工的部分呢透過一般勞工雇主
transcript.whisperx[708].start 19966.509
transcript.whisperx[708].end 19989.314
transcript.whisperx[708].text 來提供費用來做檢查所以理論上他可以擁有資料可是目前的法院裡面只有針對高危或結果異常的人才會透過主管機關來核備就是說這個來備查放在這個僱主那邊那學生的話透過學生衛生學校衛生法
transcript.whisperx[709].start 19990.194
transcript.whisperx[709].end 20009.237
transcript.whisperx[709].text 由學校來紀錄建檔這個建檔可能一般是維持7年這個建檔的直接的內容需求我們很期待如果能夠統整的話對於學生這邊也能夠有比較好的一些照顧公務員員用不同的方式
transcript.whisperx[710].start 20010.078
transcript.whisperx[710].end 20037.548
transcript.whisperx[710].text 那部分的對象來去提報服務機關那就跟一般的勞工的這個勞安法是一樣的處理過程那一般的國人的話這些健康檢查資料事實上都是存在個人的這個他的需求裡面就沒有好的方式來做統整這是我們目前看到的這些健康檢查的資料持有的散佈在各個地方這一個人怎麼長啊
transcript.whisperx[711].start 20039.388
transcript.whisperx[711].end 20056.974
transcript.whisperx[711].text 現在有沒有好的方法或者是未來如何能夠把這些東西統整起來我們也知道事實上這些健康檢查他都有不同的這些經費所以我們如何能夠讓受檢者如果在現有的法源之下未來能夠
transcript.whisperx[712].start 20058.334
transcript.whisperx[712].end 20069.474
transcript.whisperx[712].text 好的方式透過這些受檢者的同意能夠把這個資料釋出來以後由國家或者是有哪一個單位來統籌我這就是今天要跟部長討論的地方
transcript.whisperx[713].start 20071.109
transcript.whisperx[713].end 20098.329
transcript.whisperx[713].text 那目前我們知道資料的嫁接有幾個可能性我們剛剛講過不同的這些受檢的對象還有受檢的這個過程基本上又分為公立跟私立的這些醫療院所來協助那這邊我們可以看得出來公立的部分就有包括教育部衛福部退福會國防部還有很多的地方政府
transcript.whisperx[714].start 20098.869
transcript.whisperx[714].end 20108.705
transcript.whisperx[714].text 那這個事實上都是由主管機關在處理的那私立的各個醫療院所大家就各自處理保管相關的資料
transcript.whisperx[715].start 20109.881
transcript.whisperx[715].end 20136.156
transcript.whisperx[715].text 那想要請教部長的就是如果在國人能夠有好的這個授權過程我們也了解這個是很重要的一個個資那這個個資目前都有好的一個個人保護法在保護個資的部分那我們也非常清楚的知道我們必須要嚴守這個個資的處理模式
transcript.whisperx[716].start 20137.737
transcript.whisperx[716].end 20160.397
transcript.whisperx[716].text 我們目前從這個個人資料保護法也瞭解說健康檢查的這些資料有哪一種情形之下是可以透過好的方式來應用這個個人資料來讓國人的健康可以得到更大的保護所以我們在昨天也透過勞動部的這個討論裡面也希望把勞工健檢的資料
transcript.whisperx[717].start 20162.158
transcript.whisperx[717].end 20182.503
transcript.whisperx[717].text 能夠有機會跟衛福部這邊做一個間接跟能夠善於好好的利用這些內容那請問部長未來我們有什麼好的方式可以來間接相關的資料怎麼去做研議那這個有沒有講到一些期程可以讓本席來做參考
transcript.whisperx[718].start 20185.865
transcript.whisperx[718].end 20209.839
transcript.whisperx[718].text 非常感謝那個委員關心這個部分的確是能夠更照顧國人的健康而且從預防醫學方面然後有點個人的健康管理能夠落實到健康管理這樣對病人能夠早期來預防然後早期診治這樣的一個遠景非常敬佩
transcript.whisperx[719].start 20210.526
transcript.whisperx[719].end 20233.161
transcript.whisperx[719].text 那這因為都牽涉到不同的從這幾十年來我們在醫療的資料的整理就已經就是說怎麼連結其實都花了很多的心也很困難但是我們已經從實務上經會上還有法制上包括我們在通過相關的法令現在就在行政院研議
transcript.whisperx[720].start 20235.142
transcript.whisperx[720].end 20260.077
transcript.whisperx[720].text 一個專法資料庫的專法當然剛剛也提到各支法這個部分各支這個也是要病人也同意嘛同意以後我們會把那個委員的這張的想法我們來看怎麼樣來落實好不好我們那個可能來跟各個部會來互動那你說委員剛剛有提到勞動部已經有
transcript.whisperx[721].start 20262.27
transcript.whisperx[721].end 20275.496
transcript.whisperx[721].text 有願意處理我們衛福部過去跟勞動部在很多的資料裡面是連結的相當都很有誠意要連結的都連結的不錯提醒部長你剛剛說這個病人這不是患者這不是病人
transcript.whisperx[722].start 20279.037
transcript.whisperx[722].end 20296.253
transcript.whisperx[722].text 這是健康的檢查,這是健康民眾所能夠提供的一些資料所以我們很期待,不然你如果說衛福部這邊有需要我們來一起處理的話也非常歡迎我們一起來討論對於國有的健康很重要
transcript.whisperx[723].start 20299.035
transcript.whisperx[723].end 20322.003
transcript.whisperx[723].text 好 再來就是簡單 把那個部長請教一個兒童健康檢查的部分很簡短的請教一下我們可以看得出來在小朋友7歲之前他有7次的這個健康檢查的機會或者是有這方面的這種可以去掌握到小朋友成長過程當中的健康的問題不過那個次數切變結果是421
transcript.whisperx[724].start 20328.224
transcript.whisperx[724].end 20355.2
transcript.whisperx[724].text 所以分佈相當的不平均就是這個可能是之前已經有過非常深入的討論知道說一歲就是半個半歲之前的小朋友需要有4次的檢查還有2歲3歲可是3到7歲好像一輩子這部分是不是有機會能夠再研議看看好我們就會優化這個新生兒跟老童做健康檢查我們會會來研議
transcript.whisperx[725].start 20358.262
transcript.whisperx[725].end 20385.085
transcript.whisperx[725].text OK 再來就是現在大家想反對腸病毒腸病毒最近單週就有2.2萬人次所以看起來可能會更嚴重因為這個天氣已經在改變了所以針對這個冬季的流感針對於包括RSV的防治尤其是這個6個月以下這些嬰幼兒不知道目前有沒有更好的對策來減少家長的擔心
transcript.whisperx[726].start 20387.126
transcript.whisperx[726].end 20413.982
transcript.whisperx[726].text 市委委員我們是不是請那個莊市長報告委員那長命毒疫情的部分主要是因為它現在流行的都是克薩吉A型是6跟A4那我們EV71現在唯一有的疫苗是EV71型那它並沒有叫它保護的作用所以在這個部分ACIP委員會這邊還是以自備的就是民眾認為有自備接種需要就自備接種
transcript.whisperx[727].start 20414.742
transcript.whisperx[727].end 20439.541
transcript.whisperx[727].text 那因為藏民主權也沒有特效藥所以一般我目前都還是用衛教宣導那另外就是預防重症主要就是說只要有看到那些重症的前照那就是由基層醫師來做所以我們事實上因為有這個部分所以目前的重症其實今年我記得只有3例還4例但都比往年少雖然是輕症比較多
transcript.whisperx[728].start 20440.422
transcript.whisperx[728].end 20455.944
transcript.whisperx[728].text 那這是長命族的部分那流感的部分因為我們現在其實孕婦可以打流感那這可以保護新生兒另外那個新手的爸媽6個月以內的因為他也可以打這個流感所以目前這個都在推行
transcript.whisperx[729].start 20456.425
transcript.whisperx[729].end 20474.665
transcript.whisperx[729].text 那RHB的部分比較傷腦筋就是因為這個有某個廠牌的這個RHB的疫苗他打在這個孕婦可以保護新生的部分目前才剛通過藥證應該是明年才會有疫苗進來那另外不過
transcript.whisperx[730].start 20476.647
transcript.whisperx[730].end 20501.845
transcript.whisperx[730].text 建保署這邊他們有針對早產兒啦或是這個有心電性疾病的一歲以下的有提供的單株抗體那這邊是可以用的那不過今年有個好消息是說今天阿斯匹其實沒有很高啦他大概每35週到45週會一個高峰那麼今天還是46週我們看起來是不是今年不是太高好謝謝謝謝署長跟部長說明謝謝主席謝謝委員謝謝謝謝王委員謝謝部長
transcript.whisperx[731].start 20505.747
transcript.whisperx[731].end 20519.136
transcript.whisperx[731].text 繼續我們請陳培宇委員質詢好謝謝主席那有請邱部長
transcript.whisperx[732].start 20524.181
transcript.whisperx[732].end 20538.572
transcript.whisperx[732].text 委員好部長午安今年6月5號應該是您當部長之後首次跟您討論一些議題當時我就提醒部長說其實今年就是兒童權力公約施行法國內法劃的第10年
transcript.whisperx[733].start 20539.272
transcript.whisperx[733].end 20559.66
transcript.whisperx[733].text 那10週年這件事情我覺得非常的重要因為我們其實在這10年當中我們從公部門或者是私立的機關民間單位我們做了非常多的努力想要讓更多人認識兒少公約很可惜部長你知道嗎昨天我們雖然在內政委員會奮戰一整天勞動部這邊也很忙昨天其實是國際兒童人權日
transcript.whisperx[734].start 20560.76
transcript.whisperx[734].end 20581.846
transcript.whisperx[734].text 我們看了衛福部的相關新聞發現只有一些地方政府的活動還有衛福部的部堂醫院但是我認為衛福部作為兒少主管機關CRC的主管機關也是兒少法的主管機關卻沒有更積極的作為或者是活動我認為我們應該要做更多的事情請衛福部要積極把兒少相關權益放在心上好嗎
transcript.whisperx[735].start 20583.746
transcript.whisperx[735].end 20599.991
transcript.whisperx[735].text 財閥問題
transcript.whisperx[736].start 20600.131
transcript.whisperx[736].end 20604.313
transcript.whisperx[736].text 左手邊紅色的字是我們發現的問題就是跨部會通報的問題採訪的問題幼少法還有幼教法的採訪的方法很複雜還有中央地方的公告沒有同步我們辦公室花了很多的時間一直在跟衛福部討論
transcript.whisperx[737].start 20615.478
transcript.whisperx[737].end 20631.685
transcript.whisperx[737].text 感謝到了右邊黑色這一塊2024年總算有些進展有了初步的改善我認為這邊要給衛福部的同仁肯定可是其實還是有很多問題沒有解決例如說右邊的紅色下面這邊而上法裁罰公告遭到地方下架的問題
transcript.whisperx[738].start 20633.366
transcript.whisperx[738].end 20655.927
transcript.whisperx[738].text 這個還是沒有解決而少法裁罰沒有辦法即時執行跟公告造成行為人得以利用空窗期繼續對小孩做壞事剛剛老林在旁邊點頭了這個依然沒有解決也就是說我身為一個小孩的家長我其實沒有辦法透過衛福部的平台知道我馬上要把小孩送去的這個營隊的主辦人或相關教練的老師是不是而少法裁處的對象
transcript.whisperx[739].start 20657.108
transcript.whisperx[739].end 20677.873
transcript.whisperx[739].text 那如果他有曾經有被臺北市政府或是新北市政府公告但是因為沒有相關法源依據他的名字就會下架了所以我的小孩還是可能被送去這樣的地方上課我認為對於現在的父母親來說每個孩子真的都是寶貝但如果你們要告訴我只要回到兒少法修正才有法源依據那我就要問我們兒少法什麼時候可以修
transcript.whisperx[740].start 20679.697
transcript.whisperx[740].end 20705.846
transcript.whisperx[740].text 好謝謝委員的關心而上我想我們一起在努力那這個問題是不是那但是因為他需要法規範嘛對不對應該說目前沒有說公告多久照理說他可以辭去公告可是地方政府就下架了那我們之後我們會把這個勾機的部分或者是跟縣市怎麼樣跟中央對接的部分再來做處理這沒有涉及修法的問題好那空窗的部分呢空窗期的部分呢
transcript.whisperx[741].start 20707.018
transcript.whisperx[741].end 20707.719
transcript.whisperx[741].text 委員會主席
transcript.whisperx[742].start 20736.938
transcript.whisperx[742].end 20737.459
transcript.whisperx[742].text 委員會主管委員會主管委員會
transcript.whisperx[743].start 20759.076
transcript.whisperx[743].end 20785.82
transcript.whisperx[743].text 好不好我們會再積極的跟你們討論那接下來看一下衛福部現在今年的預算其實我或者是范雲委員都問過衛福部關於兒少教練證的事情在總質詢的時候也花了很長的篇幅跟部長您討論但是我目前在衛福部114年度的預算規劃中都沒有看到兒少規劃證更不要講相關政策就連前期規劃研議都沒有看到我想問一下衛福部對於兒少工作證這件事情的態度跟進度
transcript.whisperx[744].start 20786.8
transcript.whisperx[744].end 20806.647
transcript.whisperx[744].text 跟委員報告這個我們跟人本開過會是這上目前70%都可以在相關系統就是這個這個不適任人員的這個系統裡頭去勾結沒有問題那還有大概20%到30左右的就是這些教練比較特殊行業的那這個部分的確我們那時候也跟這個人本說明
transcript.whisperx[745].start 20808.348
transcript.whisperx[745].end 20816.969
transcript.whisperx[745].text 我們需要有一些時間那可能就是再放在兒犬法裡頭慢慢來處理哎呦又回到兒犬法那好那我覺得我的兒犬法什麼時候要修
transcript.whisperx[746].start 20818.781
transcript.whisperx[746].end 20842.652
transcript.whisperx[746].text 就是我的最後一張投影片而憲法的部分我們現在我們內部的初步的草案已經整理到一定的程度那時間如果來得及我們希望在今年底之前能夠拿出來預告什麼時候的年底今年底前今年年底今年年底前我們可以開始預計今年底前應該是可以預告然後跟徵求各所有外界所有的意見並且進行進一步的討論今年年底前可以公告
transcript.whisperx[747].start 20845.231
transcript.whisperx[747].end 20868.777
transcript.whisperx[747].text 好吧我們期待喔這麼多場記者會跨黨派每次只要遇到而受的新聞我們就要開記者會但是我覺得開記者會真的沒有用我們開記者會只是友善的提醒但更多實質的監督跟推進我相信有非常非常多立法委員關注可不可以幫我回到前一張頭影片最後我要拜託部長一件事情剛剛您的幕僚說不適任70%的部分系統都可以勾結
transcript.whisperx[748].start 20870.118
transcript.whisperx[748].end 20892.558
transcript.whisperx[748].text 剩下20%跟30%喔特殊的這些在教學現場不同的教學現場服務我們的孩子這些大人可能是變非常特殊但我認為這是負面表列如果我們臺灣可以正面表列積極什麼樣的條件什麼樣的課程訓練什麼樣增能機制才可以去服務小孩我認為這是對所有父母最最最最最重要的
transcript.whisperx[749].start 20894.38
transcript.whisperx[749].end 20895.041
transcript.whisperx[749].text 謝謝陳委員 謝謝部長
transcript.whisperx[750].start 20925.621
transcript.whisperx[750].end 20930.284
transcript.whisperx[750].text 葉延芝、葉延芝、葉延芝委員不在。 接續我們請劉建國委員質詢。謝謝署長、謝謝召委。有請部長跟長教師。有來嗎?有,市長。市長。委員好。部長好,還有市長好。
transcript.whisperx[751].start 20956.346
transcript.whisperx[751].end 20977.024
transcript.whisperx[751].text 根據衛福部施治防治照護政策綱領暨行動方案2.0中有一個施治友善臺灣777的目標部長知道吧?市長一定知道那一起說7層以上患者獲得診斷及服務7層以上照顧者獲得支持訓練
transcript.whisperx[752].start 20979.275
transcript.whisperx[752].end 20995.778
transcript.whisperx[752].text 7%以上民眾對施治症有正確認識及友善態度沒有錯嗎是好那你們在19號衛福部發了一個新聞稿大致上內容是這樣全臺施治確診比率達67.23一級超過23.3萬名施治家庭照顧者獲得支援社會大眾對施治症正確認識及友善態度達19.6
transcript.whisperx[753].start 21011.41
transcript.whisperx[753].end 21036.408
transcript.whisperx[753].text 今年是113今年所以有達成那個政策綱領的階段性目標這個叫做有達成政策綱領的政策目標是因為今年就是67%好那明年才是70%是是是是所以市長認為已經達標了是今年達標了是那部長你看到他下面這些文字對照上面的777你覺得達標了嗎
transcript.whisperx[754].start 21039.653
transcript.whisperx[754].end 21061.838
transcript.whisperx[754].text 我覺得都還有繼續努力的空間只有努力的空間這個空間還有多大部長有沒有去過拉過那個喇叭776就沒有辦法賓果767也沒辦法賓果677也不可能賓果你覺得這樣賓果了嗎
transcript.whisperx[755].start 21063.45
transcript.whisperx[755].end 21087.745
transcript.whisperx[755].text 市長答覆是達標了今年度還達標了對不對部長你覺得達標了嗎你的努力的空間還差了幾趴簡單就好好不好如果以他們訂的部門訂的目標是有到達他們目標啦但是我們部長你認定他們有達到他們訂的目標7成以上獲得診斷及服務
transcript.whisperx[756].start 21090.649
transcript.whisperx[756].end 21115.459
transcript.whisperx[756].text 你第一個是全台私自確診比例67.3這是確診比例那反之7成以上照顧者獲得支持訓練你馬上把它轉換成一級超過23.3萬私自家庭照顧者獲得支援可以這樣轉可以這樣換那你的第一個期跟第二個期就不用分做兩個期啊
transcript.whisperx[757].start 21117.833
transcript.whisperx[757].end 21138.496
transcript.whisperx[757].text 跟委員說明我們推估今年的失智症的人數目前是今年是35萬是那所以我們就是依據推估的人數那基本上只要有確診的那我們在相關的服務裡面也包括照顧者會一起來接受這些相關的支持服務
transcript.whisperx[758].start 21139.717
transcript.whisperx[758].end 21165.937
transcript.whisperx[758].text 所以這個標23.3其實也表示有23.3萬的這個失聚症者有被確診不好意思的我現在就要來戳破你這樣講我是有問題的什麼叫做確診率達67.3就預期超過23.3萬得到家庭失職家庭照顧者獲得支援部長11月22在總辭職的時候我有提供資料給你跟院長這個是國際失職協會在9月21號
transcript.whisperx[759].start 21168.979
transcript.whisperx[759].end 21183.12
transcript.whisperx[759].text 今年度9月2日公佈2024全球施政報告中其中臺灣部門參與調查的臺灣照顧者對於社區中有足夠施政者支持服務的認同比例為48.5沒有過半同時一般民眾的認同率更只有3.4
transcript.whisperx[760].start 21186.897
transcript.whisperx[760].end 21205.021
transcript.whisperx[760].text 請你來挑戰國際施政協會因為國際施政協會他其實是用詢問這些相關我們後續也來了解他到底抽樣的10月22的總諮詢你要後續才詢問現在已經11月21號所以你還沒有問還是你要跟我講他是講社區而已還是你要講說他們這樣的調查有問題還是還有辦法答覆我跟答問部長
transcript.whisperx[761].start 21217.749
transcript.whisperx[761].end 21238.988
transcript.whisperx[761].text 因為這個相關的調查確實就像委員說的他是在社區可是事實上我們也有非常多的這個失業症長輩其實是在住宿型機構所以在住宿型機構這邊失智率的比例其實高達八成所以現在各位同意的是住宿型機構是跟社區還是要講社區還是兩個要跟我一起講
transcript.whisperx[762].start 21239.708
transcript.whisperx[762].end 21248.762
transcript.whisperx[762].text 我們的政策綱領訂的是全臺灣所以當時的政策綱領通過的就是114年全臺灣滿一千人是講家庭還是講社區還是講機構
transcript.whisperx[763].start 21251.043
transcript.whisperx[763].end 21276.338
transcript.whisperx[763].text 就是全臺灣全部嗎就包含機構嗎社區嗎家庭嗎可以這麼講嗎現在說明的是委員您拿的國際私事政協會他調查的是社區的所以你的意思就是說你的家庭ok你的機構ok唯獨這個社區不ok所以你家庭加你的機構加起來再扣掉還是再扣掉這個社區你還是有達到六成七
transcript.whisperx[764].start 21277.779
transcript.whisperx[764].end 21299.7
transcript.whisperx[764].text 你要跟我表達是這樣嗎我們確實你有把握嗎6乘7確實都有比對過ID所以這一塊是包括有在我們長照體系使用服務的那你就必須要跟國際私自政協會跟他講說你這麼不公平啊我家庭做好的你要跟我額入啊我機構做好的你要額入啊你怎麼只有把做不好的弄出來你意思是這樣嗎
transcript.whisperx[765].start 21303.144
transcript.whisperx[765].end 21325.263
transcript.whisperx[765].text 我們有機會可以跟國際施政協會這邊來聯繫我們其實有幾年前有邀請那個理事主席到臺灣來有來協助做是這樣我要提醒齁如果說你們這樣的一個新聞稿是不是過於樂觀啦齁我是要提醒這樣然後你們這樣的計算方式是不是過於阿Q
transcript.whisperx[766].start 21326.451
transcript.whisperx[766].end 21352.036
transcript.whisperx[766].text 我覺得是有問題的啦你如果覺得沒有那好那我們就到時候再拜託召委針對施政的整個全部面向來做一個專案的討論我們再逐一把相關的數據提供給您來做參考跟委員說明其實我們的推估其實是國衛院協助幫我們做了失智流平調查再把國衛院再拉下來這一塊所以我要把它是說我們現在推估出來的
transcript.whisperx[767].start 21353.396
transcript.whisperx[767].end 21360.981
transcript.whisperx[767].text 國務院嚴謹我知道啦但國務院有時候我會揣摩嘛國務院在實行國家級高齡醫學技機關或是研究所中心的相關成果報告裡面竟然把學校的離年齒4個字放在這一個成果報告裡面的活動之一啊
transcript.whisperx[768].start 21384.52
transcript.whisperx[768].end 21411.197
transcript.whisperx[768].text 你聽過嗎?你了解嗎?你要再把國務院拉進來是不是?裡面這次總預算跟你講會有問題啦請回來請回來市長你回去再好好思考一下昨天居股聯盟辦的記者會你因為要參與會議先行離開我沒有意見嘛對不對那你離開完之後你留下來的人你離開之後他也就跟著離開了
transcript.whisperx[769].start 21414.36
transcript.whisperx[769].end 21435.746
transcript.whisperx[769].text 一個居胡聯盟跟這麼多的委員都還在現場在針對這個長照3.0要提出相關的建言他們連朗讀連播放影片連跟你們有對話機會都沒有我們長照是沒有半個人留在現場理由是要去參加那個去參加那個所以
transcript.whisperx[770].start 21436.986
transcript.whisperx[770].end 21453.983
transcript.whisperx[770].text 如果你們在面對第一線的團體的建言是如此還有很多委員 跨黨派的都還在現場你們已經沒有半個人在那個地方你們這樣是不是會出問題啊我提醒你
transcript.whisperx[771].start 21455.722
transcript.whisperx[771].end 21474.794
transcript.whisperx[771].text 謝謝委員提醒因為事先有跟那個單位有溝通過就是我們本來就是同仁有需要到那個前瞻那他要求的是說這大概就是遞交陳情書的時候人在場接那個陳情書是事先有溝通過跟陳雪惠這個女士這邊溝通過
transcript.whisperx[772].start 21476.297
transcript.whisperx[772].end 21499.021
transcript.whisperx[772].text 也要再講下去齁好那我們就找時間再好好講不然我是要讓你知道有這個狀況齁你也參考一下啦齁因為施治2.0在明年底就要結束了對不對你請回啦我不請他站的時候他把你牽拖的齁你為什麼要找他算帳但是我剛才說的事情你可能要洗衣啦齁
transcript.whisperx[773].start 21503.142
transcript.whisperx[773].end 21520.653
transcript.whisperx[773].text 李廉恥會在你高齡醫學及健康物質研究中心的成果裡面的活動之一這個實在是國家衛生研究院國家講到國家是何等神聖重要一件事情市長請回落我現在對不起你先留著還有你的事情
transcript.whisperx[774].start 21522.234
transcript.whisperx[774].end 21542.646
transcript.whisperx[774].text 那我當然是期待說因為坦白講賴總統一直在講長照3.0不是現在才講競選時間然後就任了也一直在講長照3.0明年的長照基金又高達到930億嘛對不對那勢必長照3.0的期程要提早了啦要提早嘛那相對的你的失智證這一個2.0要變成3.0也應該一併提早才對嘛
transcript.whisperx[775].start 21548.309
transcript.whisperx[775].end 21574.121
transcript.whisperx[775].text 應該未從某個月跟我講說執行到明年底結束我們才來提前這沒有道理啦不管什麼樣的情況之下我當然希望我們部長到有新的思維跟做法然後積極應應來這個長照相關面向的事情要趕快來加緊找部嘛食藥署有審查通過一個叫阿茲海默症的新藥是首款可以延緩這個患者的退化
transcript.whisperx[776].start 21574.761
transcript.whisperx[776].end 21576.244
transcript.whisperx[776].text 新藥通過對施政的治療帶來重大突破
transcript.whisperx[777].start 21587.475
transcript.whisperx[777].end 21608.153
transcript.whisperx[777].text 這款新藥需支援1.約切10萬這對一般家庭的負擔其實不小啦對不對我想大家期盼這麼久終於有這樣的新藥然後延緩施政患者的病程這坦白講這也可以大幅減少醫療成本的支出嘛然後又是次長對外的一個說明對不對那這款新藥何時可以納入健保集會不定有時無空喔
transcript.whisperx[778].start 21610.236
transcript.whisperx[778].end 21625.161
transcript.whisperx[778].text 我想只要對病人而且是醫師覺得他是有效的我想都是列入審核的那個審核列入健保的一個行列我這邊距離要求不長好不好
transcript.whisperx[779].start 21626.161
transcript.whisperx[779].end 21629.464
transcript.whisperx[779].text 昨天在這個委員會和部長發生什麼狀況大家非常清楚
transcript.whisperx[780].start 21653.644
transcript.whisperx[780].end 21679.885
transcript.whisperx[780].text 因為因為發生了憾思之後是11月4號11月8號才讓這副組長請假接受調查然後隔過10天才在這個才在前天才公佈昨天接受備詢各位可以想個是什麼狀況我就不再贅述為什麼同樣CDC遇到霸凌的事件我們的機關署的副組長第一個時間對外說明需要調查兩個月誰授權
transcript.whisperx[781].start 21682.948
transcript.whisperx[781].end 21693.745
transcript.whisperx[781].text 誰指示為什麼要等到院長震怒之後說必須各機關一個月內因為一星期內所有的辦理事件必須調查完成才再改口
transcript.whisperx[782].start 21694.788
transcript.whisperx[782].end 21706.401
transcript.whisperx[782].text 報告委員那原來是因為依據我們機關署有一個員工職場霸凌的防治跟處理作業的辦法規定兩個月還是在兩個月內啦兩個月內對對對對早上才什麼狀況你們下午還一樣要講兩個月內是那你為什麼不跟院長講說你們現在之前有這樣的一個作業準則
transcript.whisperx[783].start 21716.338
transcript.whisperx[783].end 21720.962
transcript.whisperx[783].text 主要還是要縮短那整個調查的過程關於我們各機關自己的心境比較麻煩署長是你下令的嗎
transcript.whisperx[784].start 21738.611
transcript.whisperx[784].end 21756.983
transcript.whisperx[784].text 呃應該是說我們我本來是想要快一點的但是但是我們有副組長不想快一點要照座位準則跟副組長沒有關係跟副組長沒有關係啊不然副組長為什麼講那些話沒有沒有呃兩個月內這當然就是說兩個月內早上在這個委員會乒乒乓乓你們下午看那個記者會你們完全
transcript.whisperx[785].start 21760.58
transcript.whisperx[785].end 21765.784
transcript.whisperx[785].text 提醒各位謝謝謝謝劉建國 倚重心長署長要注意接續我們請 最後一個好不好陳穎委員質詢好 謝謝教委 那麻煩請那個部長
transcript.whisperx[786].start 21794.437
transcript.whisperx[786].end 21815.247
transcript.whisperx[786].text 委員好部長好部長這兩天我不曉得你有沒有注意到一件事情因為我看到這個很有趣一定要跟你分享一下這兩天有一個非常知名的反菸團體就是董事基金會他們在媒體上宣稱全面禁售止菸是不切實際的做法
transcript.whisperx[787].start 21816.047
transcript.whisperx[787].end 21840.896
transcript.whisperx[787].text 那我看到這個之後我就忽然覺得很困惑了因為畢竟在很多年前我也曾經出席參加了他們這個董事基金會在立法院舉辦的記者會那這個記者會呢他是一個戒菸的記者會我非常清楚的記得這個記者會有一個重要活動就是報名參加戒菸的朋友
transcript.whisperx[788].start 21841.576
transcript.whisperx[788].end 21847.469
transcript.whisperx[788].text 可以有成功的話可以獲得數十萬元的高額高額獎金那
transcript.whisperx[789].start 21849.397
transcript.whisperx[789].end 21874.886
transcript.whisperx[789].text 很怕菸味的我還特別在致詞的時候表示就是說我希望我們的柯總召可以拿到這個獎金所以我對這個記者會我印象非常的深刻結果回過頭來時至今日董事基金會的一位非常重要的靈魂人物竟然對外宣稱說全面禁售指菸是不切實際的做法
transcript.whisperx[790].start 21875.606
transcript.whisperx[790].end 21903.855
transcript.whisperx[790].text 那身為一個臺灣重要的反菸團體突然這樣的倡議我不禁要問部長請問什麼樣才是最實際的做法呢部長你怎麼看這個事情啊包委員其實我跟你一樣是很怕二手而已所以你會不會覺得也忽然困惑了起來你如果覺得困惑沒關係在原來有他的一個講可能有他的一個背景我想董事記就是一直在
transcript.whisperx[791].start 21907.136
transcript.whisperx[791].end 21913.478
transcript.whisperx[791].text 反菸團體說青少年現在已經沒有怎麼抽脂菸了這句話你認同嗎你怎麼看這件事情現在的青少年真的沒有怎麼抽脂菸了嗎
transcript.whisperx[792].start 21934.158
transcript.whisperx[792].end 21935.319
transcript.whisperx[792].text 吳趙欣署長
transcript.whisperx[793].start 21953.667
transcript.whisperx[793].end 21974.572
transcript.whisperx[793].text 各位謝謝委員關心我想青少年抽任何一個菸品我們都不建議那目前其實子菸在青少年的吸菸率是有下降但是還是有相當大的部分你講這樣就對了嘛所以這個沒怎麼抽子菸這件事情是不對的嘛那所以部長
transcript.whisperx[794].start 21976.448
transcript.whisperx[794].end 21992.414
transcript.whisperx[794].text 所以現在剛剛那句話 根本叫做睜眼說瞎話署長是不瞎的欸 署長很專家好 那根據國建署自己的調查喔高中生止煙吸煙率7.2%電子煙使用率8.8%加熱煙使用率1.9%那 所以
transcript.whisperx[795].start 22002.256
transcript.whisperx[795].end 22021.922
transcript.whisperx[795].text 所以到底是哪裡來的青少年現在已經沒怎麼抽指煙了到底是誰在哄人說這種話還是他們自己瞎掰的我不知道因為部長你覺得7.2%的這個指煙吸煙率是非常低的嗎低到可以當作是沒有的概念嗎可以嗎
transcript.whisperx[796].start 22024.598
transcript.whisperx[796].end 22045.512
transcript.whisperx[796].text 還是相當高吧是啊我等一下換算給你看喔因為部長對於一個年年拿國建署補助款的這個反菸團體來說呢對於國建署調查的數據你把它當作沒有看到然後大剌剌的對外在那邊講說青少年現在已經不怎麼抽沒怎麼抽紙菸了
transcript.whisperx[797].start 22046.172
transcript.whisperx[797].end 22057.347
transcript.whisperx[797].text 然後接著轉頭要倡議說全面禁售職業是不切實際的做法我覺得這個邏輯我完全沒有辦法理解部長你可以理解這樣的邏輯嗎還是你贊同這樣的一個邏輯嗎還是署長你贊同
transcript.whisperx[798].start 22066.369
transcript.whisperx[798].end 22079.557
transcript.whisperx[798].text 那部長7.2%的這個止煙吸煙率到底有多高我來換算成人數給你看我們也參考了教育部112年高中職總人數是557600人來計算喔7.2%呢就等於多少人4100人你覺得4100個青少年抽煙這個人數是很少的嗎
transcript.whisperx[799].start 22091.251
transcript.whisperx[799].end 22118.456
transcript.whisperx[799].text 應該是很多好那部長一個團體反菸反到最後竟然是去力挺止菸這個是令大家嚴重錯愕的事情欸雖然我們不知道背後到底發生了什麼事但我們還是不希望說你衛福部到最後也出現同樣的問題然後大家反菸反到去挺止菸這個是很恐怖的事啊所以
transcript.whisperx[800].start 22122.342
transcript.whisperx[800].end 22128.958
transcript.whisperx[800].text 我這邊有一個我看一下有一個簡報好來我們來看一下
transcript.whisperx[801].start 22130.951
transcript.whisperx[801].end 22149.748
transcript.whisperx[801].text 11月18日ETtoday新聞雲所做的民調臺灣健保財源面臨挑戰那我們的健保署署長石崇良他很辛苦考慮再三透過這個我不知道是他個人建議還是還是
transcript.whisperx[802].start 22151.71
transcript.whisperx[802].end 22169.285
transcript.whisperx[802].text 還是其他人建議就是說未來考慮調高證券交易或者房屋交易作為補充財源那同時也有專家建議說我們來仿效這個日本把這個消費稅也就是營業稅從目前的5%調高到10%
transcript.whisperx[803].start 22174.009
transcript.whisperx[803].end 22192.888
transcript.whisperx[803].text 結果這個一投票不得了了總共有6233票的這個反對票同意的呢只有79票那這個沒有意見的32票這個就是這一題的調查結果那我們再來看看另外一個民調
transcript.whisperx[804].start 22195.234
transcript.whisperx[804].end 22220.496
transcript.whisperx[804].text 為了要籌措百億癌症基金政府也考慮建議開徵糖捐、酒捐等稅捐來增加財源但是修法需要耗時費日這個緩不及急所以題目是是否贊成此類的新措施
transcript.whisperx[805].start 22221.597
transcript.whisperx[805].end 22248.765
transcript.whisperx[805].text 結果這個調查也是很好玩我們看一下6294票反對那同意的有225票那只有11票是沒有意見的那為何我剛剛講的這兩題喔這個民眾投票都一面倒害我看到我也忍不住去按反對票因為畢竟這些稅一調高大家很清楚嘛就萬物皆長了啊那誰要幹這種事情對不對那
transcript.whisperx[806].start 22251.127
transcript.whisperx[806].end 22272.318
transcript.whisperx[806].text 我們最後再來看一下相較於調高消費稅營業稅跟這個交易稅或者增設糖捐增設民眾負擔的這些方案目前加熱菸已經修法通過那卡在國建署的無限拖延
transcript.whisperx[807].start 22273.979
transcript.whisperx[807].end 22295.607
transcript.whisperx[807].text 的健康風險評估還有造成你們這個走失猖獗那百億的煙圈流失你們看看從上面看左邊看右邊看這個空氣中瀰漫著我們看不到抓不到的百億這個稅就這樣子隨風而去所以
transcript.whisperx[808].start 22297.953
transcript.whisperx[808].end 22320.984
transcript.whisperx[808].text 這一題就是問說您是否認為最有效最快速的方式是增加加速核准加熱菸產品上市然後立即開增加熱菸稅菸捐作為健保財源財務的這個緊急支援結果同意的嚇死我了高達7501票不同意的只有44票那沒意見的48票
transcript.whisperx[809].start 22323.466
transcript.whisperx[809].end 22344.987
transcript.whisperx[809].text 這個特別提出來這裡給大家參考你們如果不趕快把這個百億的這個菸捐把它好好的這個讓政府入袋的話呢我想我們接下來就是我們全這個我們全國的納稅人就要多繳錢這也是很不合理的事情啊
transcript.whisperx[810].start 22346.035
transcript.whisperx[810].end 22368.284
transcript.whisperx[810].text 好所以這個部長根據媒體所做的民調結果我不知道您是不是也就是認同啦就如同就是媒體最後的結論所說的因為本席畢竟從這個部長你上任到現在呢不斷的呼籲再呼籲國建署你不要一直故意在那裡技術性的拖延卡關
transcript.whisperx[811].start 22369.284
transcript.whisperx[811].end 22390.422
transcript.whisperx[811].text 那我們也都知道就是美國跟日本韓國大部分的國家也都有開放加熱菸了難道我們的國建署你是有能力還是有什麼本事去否定這些國家FDA所做的這些研究這些決定呢或者是說我們不了解的是執意卡關的
transcript.whisperx[812].start 22392.64
transcript.whisperx[812].end 22412.139
transcript.whisperx[812].text 這些人﹐少數人﹐到底有何難言之隱﹐或者有受到什麼樣的壓力﹐逼得我們石崇良署長必須要到處去找錢﹐然後也逼得我們政府﹐就像有如坐在百億黃金堆上的﹐卻像民眾討錢的乞丐﹐
transcript.whisperx[813].start 22414.503
transcript.whisperx[813].end 22433.417
transcript.whisperx[813].text 這是很奇怪的事情我不知道部長你到底有什麼樣的看法因為這個被公務人員這樣如此的公務人員去延宕這樣的事情像話嗎百億幾年了一年是減少百億多的稅收我們現在都延宕多久了
transcript.whisperx[814].start 22434.423
transcript.whisperx[814].end 22460.979
transcript.whisperx[814].text 我跟委員報告一下分兩點第一點就是剛剛ETtoday那個調查那個其實是假設性的問題我們並沒有要去研議那個剛剛講的消費稅啦、堂、捐什麼沒有這回事我們研議的真的是現在在研議是補充保惠這個部分對啦因為你先說明一下你有現成的百億你收不到那第二個這個部分其實非常謝謝委員一直關心跟催省
transcript.whisperx[815].start 22464.241
transcript.whisperx[815].end 22478.237
transcript.whisperx[815].text 我想我們也一直在瞭解到整個國建署在審查這個加熱源這個進度我想那個是不是請吳司長跟委員報告一下我們現在的一個我們努力在審查的進度
transcript.whisperx[816].start 22480.941
transcript.whisperx[816].end 22508.76
transcript.whisperx[816].text 謝謝委員我想我們不會因為大家因為我想社會都很關心這件事情那我們也按照我們所立的一些規範還有健康風險評估的一些機制那也尊重相關委員的一個審查的方式那根本也不知道目前美國並沒有加熱菸的上市那韓國跟日本他是沒有審查就可以直接上市包括歐盟他是沒有審查的那唯一有審查就是美國跟我們那美國並沒有目前並沒有加熱菸
transcript.whisperx[817].start 22510.407
transcript.whisperx[817].end 22518.653
transcript.whisperx[817].text 那所以我們就是繼續卡關那有的不值得參考我想是這樣齁我們在我上次質詢之後齁你們聽說你們國健署又開了一次健康風險評估的這個審查會議應該是第38次了吧
transcript.whisperx[818].start 22535.227
transcript.whisperx[818].end 22550.807
transcript.whisperx[818].text 我們已經開了44次了所以上次給我的數據是錯的?你們自己算錯?因為數據是你們給的那後面到底這個審查會議可以公開了沒有?結論可以公開了沒有?我們大概審查了有的結果就會公開
transcript.whisperx[819].start 22551.961
transcript.whisperx[819].end 22577.367
transcript.whisperx[819].text 還有一個就是目前還不能公開你公開就要公開全部你不要又像那個那個假的地下署長在那裡跟我囉哩巴說的那個因為是這樣子我們其實除了那個審查的那個過程結果要不到之外呢我們還有一樣東西也是要不到這個很奇妙不是我要不到而已不管各黨的各黨派的這個
transcript.whisperx[820].start 22579.588
transcript.whisperx[820].end 22603.554
transcript.whisperx[820].text 的辦公室都要不要這個看起來不像機密的資料齁就是因為因為齁我剛回到我們的那個反菸團體喔就是衛福部跟國健署每一年齁給反菸團體跟接菸團體這不包含的意願的這個獎捐補助款大概是多少補助補助款對啊
transcript.whisperx[821].start 22605.091
transcript.whisperx[821].end 22619.706
transcript.whisperx[821].text 主席我問完這一題我就會解釋我們大概每兩年會舉辦一個戒菸救營比賽那是對外委託的一個案應該是委託案那個大概是將近不到800萬只有這樣子嗎
transcript.whisperx[822].start 22621.528
transcript.whisperx[822].end 22627.13
transcript.whisperx[822].text 衛福部有沒有要求他們做任何KPI來檢視這些或你們自己有沒有做任何KPI來檢視這些獎捐補助款的效果?
transcript.whisperx[823].start 22642.467
transcript.whisperx[823].end 22658.745
transcript.whisperx[823].text 我們這個比賽從過去的每一次大概有將近2萬多組那因為疫情的關係以後那疫情後大概目前都維持在1萬到1萬5組每一次辦理的時候那它的接驗成功6個月的接驗成功率大概是40%
transcript.whisperx[824].start 22661.124
transcript.whisperx[824].end 22676.469
transcript.whisperx[824].text 所以這個只有這樣子簡單的一個那你們預期達到的目標我們一般的一般的戒菸就是一般多元服務的戒菸服務的成功率大概是以去年為例大概是33.1
transcript.whisperx[825].start 22679.414
transcript.whisperx[825].end 22698.042
transcript.whisperx[825].text 好 我想這個部分齁 我在這裡要要求就是說你們要把近5年給反菸團體以及建菸團體的獎捐補助款明細提供給本委員會那同時要註記了這些團體領的這些錢之後達到什麼樣的KPI因為剛剛講的是很rough啦
transcript.whisperx[826].start 22700.903
transcript.whisperx[826].end 22715.411
transcript.whisperx[826].text 總共開了40幾次的審查會議也要一併公開給大家那如果有哪些國家加熱因的部分他們可以沒有審查就上路那我想他們還是有一個基本的一個參考的依據
transcript.whisperx[827].start 22721.673
transcript.whisperx[827].end 22738.458
transcript.whisperx[827].text 韓國人也不是神經病嘛,他們不可能就是我就搭拉拉沒有審查就上屋,他們還是有一個參考的依據啦,不可能沒有比較啦所以這個部分我們要求這兩項東西麻煩你們提供,好謝謝好謝謝陳英文,謝謝部長
transcript.whisperx[828].start 22744.976
transcript.whisperx[828].end 22757.009
transcript.whisperx[828].text 鄭振淺 鄭振淺 鄭振淺委員不在本日會議詢答全部結束所提書面資料列入紀錄刊登公報
transcript.whisperx[829].start 22758.269
transcript.whisperx[829].end 22785.494
transcript.whisperx[829].text 現在做以下決議說明及詢答完畢委員執行會及答覆或請補充資料者請相關機關以兩週內以書面答覆委員另要求期限者從其所定中華民國114年度中央政府總預算案關於衛生福利部主管預算公務及基金預算另則其繼續審查
transcript.whisperx[830].start 22787.634
transcript.whisperx[830].end 22789.521
transcript.whisperx[830].text 本次會議到此結束現在散會
IVOD_ID 16293
IVOD_URL https://ivod.ly.gov.tw/Play/Full/1M/16293
日期 2024-11-21
會議資料.會議代碼 委員會-11-2-26-10
會議資料.屆 11
會議資料.會期 2
會議資料.會次 10
會議資料.種類 委員會
會議資料.委員會代碼[0] 26
會議資料.標題 第11屆第2會期社會福利及衛生環境委員會第10次全體委員會議
影片種類 Full
開始時間 2024-11-21T08:31:37+08:00
結束時間 2024-11-21T14:51:00+08:00
支援功能[0] ai-transcript