iVOD / 16154

Field Value
影片長度 29085
委員名稱 完整會議
video_url https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/8398b1826590a60995df7a001ee5361bad9f551ce5fa921f605fa09253ef09064b043c216262054e5ea18f28b6918d91.mp4/playlist.m3u8
transcript.pyannote[0].speaker SPEAKER_11
transcript.pyannote[0].start 1810.97159375
transcript.pyannote[0].end 1813.45221875
transcript.pyannote[1].speaker SPEAKER_11
transcript.pyannote[1].start 1813.73909375
transcript.pyannote[1].end 1817.28284375
transcript.pyannote[2].speaker SPEAKER_11
transcript.pyannote[2].start 1817.45159375
transcript.pyannote[2].end 1820.18534375
transcript.pyannote[3].speaker SPEAKER_11
transcript.pyannote[3].start 1820.50596875
transcript.pyannote[3].end 1823.44221875
transcript.pyannote[4].speaker SPEAKER_10
transcript.pyannote[4].start 1837.73534375
transcript.pyannote[4].end 1841.66721875
transcript.pyannote[5].speaker SPEAKER_03
transcript.pyannote[5].start 1853.34471875
transcript.pyannote[5].end 1855.30221875
transcript.pyannote[6].speaker SPEAKER_11
transcript.pyannote[6].start 1857.86721875
transcript.pyannote[6].end 1859.18346875
transcript.pyannote[7].speaker SPEAKER_03
transcript.pyannote[7].start 1860.49971875
transcript.pyannote[7].end 1860.90471875
transcript.pyannote[8].speaker SPEAKER_03
transcript.pyannote[8].start 1861.86659375
transcript.pyannote[8].end 1869.93284375
transcript.pyannote[9].speaker SPEAKER_03
transcript.pyannote[9].start 1870.25346875
transcript.pyannote[9].end 1872.26159375
transcript.pyannote[10].speaker SPEAKER_03
transcript.pyannote[10].start 1872.51471875
transcript.pyannote[10].end 1877.02034375
transcript.pyannote[11].speaker SPEAKER_03
transcript.pyannote[11].start 1877.56034375
transcript.pyannote[11].end 1882.89284375
transcript.pyannote[12].speaker SPEAKER_03
transcript.pyannote[12].start 1883.65221875
transcript.pyannote[12].end 1892.71409375
transcript.pyannote[13].speaker SPEAKER_17
transcript.pyannote[13].start 1892.79846875
transcript.pyannote[13].end 1893.10221875
transcript.pyannote[14].speaker SPEAKER_03
transcript.pyannote[14].start 1893.43971875
transcript.pyannote[14].end 1898.73846875
transcript.pyannote[15].speaker SPEAKER_03
transcript.pyannote[15].start 1899.93659375
transcript.pyannote[15].end 1900.27409375
transcript.pyannote[16].speaker SPEAKER_03
transcript.pyannote[16].start 1901.43846875
transcript.pyannote[16].end 1907.26034375
transcript.pyannote[17].speaker SPEAKER_11
transcript.pyannote[17].start 1907.17596875
transcript.pyannote[17].end 1908.37409375
transcript.pyannote[18].speaker SPEAKER_19
transcript.pyannote[18].start 1917.52034375
transcript.pyannote[18].end 1918.33034375
transcript.pyannote[19].speaker SPEAKER_03
transcript.pyannote[19].start 1919.05596875
transcript.pyannote[19].end 1920.11909375
transcript.pyannote[20].speaker SPEAKER_03
transcript.pyannote[20].start 1920.16971875
transcript.pyannote[20].end 1927.05471875
transcript.pyannote[21].speaker SPEAKER_19
transcript.pyannote[21].start 1928.38784375
transcript.pyannote[21].end 1930.24409375
transcript.pyannote[22].speaker SPEAKER_03
transcript.pyannote[22].start 1928.77596875
transcript.pyannote[22].end 1929.68721875
transcript.pyannote[23].speaker SPEAKER_19
transcript.pyannote[23].start 1930.54784375
transcript.pyannote[23].end 1932.42096875
transcript.pyannote[24].speaker SPEAKER_19
transcript.pyannote[24].start 1932.92721875
transcript.pyannote[24].end 1934.53034375
transcript.pyannote[25].speaker SPEAKER_19
transcript.pyannote[25].start 1935.05346875
transcript.pyannote[25].end 1936.77471875
transcript.pyannote[26].speaker SPEAKER_19
transcript.pyannote[26].start 1936.90971875
transcript.pyannote[26].end 1937.98971875
transcript.pyannote[27].speaker SPEAKER_19
transcript.pyannote[27].start 1938.05721875
transcript.pyannote[27].end 1939.79534375
transcript.pyannote[28].speaker SPEAKER_19
transcript.pyannote[28].start 1939.96409375
transcript.pyannote[28].end 1941.36471875
transcript.pyannote[29].speaker SPEAKER_19
transcript.pyannote[29].start 1941.83721875
transcript.pyannote[29].end 1943.25471875
transcript.pyannote[30].speaker SPEAKER_19
transcript.pyannote[30].start 1943.69346875
transcript.pyannote[30].end 1944.50346875
transcript.pyannote[31].speaker SPEAKER_19
transcript.pyannote[31].start 1945.16159375
transcript.pyannote[31].end 1948.18221875
transcript.pyannote[32].speaker SPEAKER_19
transcript.pyannote[32].start 1948.58721875
transcript.pyannote[32].end 1950.83159375
transcript.pyannote[33].speaker SPEAKER_03
transcript.pyannote[33].start 1951.08471875
transcript.pyannote[33].end 1955.06721875
transcript.pyannote[34].speaker SPEAKER_19
transcript.pyannote[34].start 1955.06721875
transcript.pyannote[34].end 1960.33221875
transcript.pyannote[35].speaker SPEAKER_03
transcript.pyannote[35].start 1960.99034375
transcript.pyannote[35].end 1962.94784375
transcript.pyannote[36].speaker SPEAKER_03
transcript.pyannote[36].start 1963.16721875
transcript.pyannote[36].end 2015.22659375
transcript.pyannote[37].speaker SPEAKER_03
transcript.pyannote[37].start 2015.74971875
transcript.pyannote[37].end 2035.42596875
transcript.pyannote[38].speaker SPEAKER_03
transcript.pyannote[38].start 2036.79284375
transcript.pyannote[38].end 2052.40221875
transcript.pyannote[39].speaker SPEAKER_19
transcript.pyannote[39].start 2053.17846875
transcript.pyannote[39].end 2054.41034375
transcript.pyannote[40].speaker SPEAKER_19
transcript.pyannote[40].start 2055.76034375
transcript.pyannote[40].end 2057.14409375
transcript.pyannote[41].speaker SPEAKER_19
transcript.pyannote[41].start 2057.93721875
transcript.pyannote[41].end 2059.23659375
transcript.pyannote[42].speaker SPEAKER_19
transcript.pyannote[42].start 2059.74284375
transcript.pyannote[42].end 2061.63284375
transcript.pyannote[43].speaker SPEAKER_19
transcript.pyannote[43].start 2062.29096875
transcript.pyannote[43].end 2064.48471875
transcript.pyannote[44].speaker SPEAKER_19
transcript.pyannote[44].start 2064.90659375
transcript.pyannote[44].end 2066.89784375
transcript.pyannote[45].speaker SPEAKER_19
transcript.pyannote[45].start 2066.94846875
transcript.pyannote[45].end 2067.97784375
transcript.pyannote[46].speaker SPEAKER_19
transcript.pyannote[46].start 2068.16346875
transcript.pyannote[46].end 2069.86784375
transcript.pyannote[47].speaker SPEAKER_19
transcript.pyannote[47].start 2070.18846875
transcript.pyannote[47].end 2073.07409375
transcript.pyannote[48].speaker SPEAKER_19
transcript.pyannote[48].start 2073.49596875
transcript.pyannote[48].end 2075.45346875
transcript.pyannote[49].speaker SPEAKER_19
transcript.pyannote[49].start 2075.87534375
transcript.pyannote[49].end 2082.54096875
transcript.pyannote[50].speaker SPEAKER_19
transcript.pyannote[50].start 2082.76034375
transcript.pyannote[50].end 2091.97409375
transcript.pyannote[51].speaker SPEAKER_19
transcript.pyannote[51].start 2092.36221875
transcript.pyannote[51].end 2094.20159375
transcript.pyannote[52].speaker SPEAKER_19
transcript.pyannote[52].start 2094.74159375
transcript.pyannote[52].end 2097.79596875
transcript.pyannote[53].speaker SPEAKER_02
transcript.pyannote[53].start 2097.79596875
transcript.pyannote[53].end 2103.19596875
transcript.pyannote[54].speaker SPEAKER_02
transcript.pyannote[54].start 2103.36471875
transcript.pyannote[54].end 2105.96346875
transcript.pyannote[55].speaker SPEAKER_02
transcript.pyannote[55].start 2106.21659375
transcript.pyannote[55].end 2115.24471875
transcript.pyannote[56].speaker SPEAKER_02
transcript.pyannote[56].start 2115.29534375
transcript.pyannote[56].end 2118.21471875
transcript.pyannote[57].speaker SPEAKER_02
transcript.pyannote[57].start 2118.50159375
transcript.pyannote[57].end 2126.68596875
transcript.pyannote[58].speaker SPEAKER_02
transcript.pyannote[58].start 2126.77034375
transcript.pyannote[58].end 2139.46034375
transcript.pyannote[59].speaker SPEAKER_02
transcript.pyannote[59].start 2139.62909375
transcript.pyannote[59].end 2143.61159375
transcript.pyannote[60].speaker SPEAKER_02
transcript.pyannote[60].start 2143.79721875
transcript.pyannote[60].end 2146.76721875
transcript.pyannote[61].speaker SPEAKER_02
transcript.pyannote[61].start 2146.95284375
transcript.pyannote[61].end 2152.75784375
transcript.pyannote[62].speaker SPEAKER_03
transcript.pyannote[62].start 2153.36534375
transcript.pyannote[62].end 2161.41471875
transcript.pyannote[63].speaker SPEAKER_19
transcript.pyannote[63].start 2160.55409375
transcript.pyannote[63].end 2162.03909375
transcript.pyannote[64].speaker SPEAKER_03
transcript.pyannote[64].start 2161.83659375
transcript.pyannote[64].end 2197.39221875
transcript.pyannote[65].speaker SPEAKER_03
transcript.pyannote[65].start 2197.59471875
transcript.pyannote[65].end 2204.22659375
transcript.pyannote[66].speaker SPEAKER_03
transcript.pyannote[66].start 2205.82971875
transcript.pyannote[66].end 2207.09534375
transcript.pyannote[67].speaker SPEAKER_03
transcript.pyannote[67].start 2207.26409375
transcript.pyannote[67].end 2207.90534375
transcript.pyannote[68].speaker SPEAKER_03
transcript.pyannote[68].start 2208.37784375
transcript.pyannote[68].end 2237.67284375
transcript.pyannote[69].speaker SPEAKER_03
transcript.pyannote[69].start 2238.36471875
transcript.pyannote[69].end 2264.09909375
transcript.pyannote[70].speaker SPEAKER_03
transcript.pyannote[70].start 2264.26784375
transcript.pyannote[70].end 2268.89159375
transcript.pyannote[71].speaker SPEAKER_03
transcript.pyannote[71].start 2269.65096875
transcript.pyannote[71].end 2281.36221875
transcript.pyannote[72].speaker SPEAKER_19
transcript.pyannote[72].start 2282.50971875
transcript.pyannote[72].end 2283.96096875
transcript.pyannote[73].speaker SPEAKER_19
transcript.pyannote[73].start 2284.11284375
transcript.pyannote[73].end 2287.35284375
transcript.pyannote[74].speaker SPEAKER_19
transcript.pyannote[74].start 2288.19659375
transcript.pyannote[74].end 2291.13284375
transcript.pyannote[75].speaker SPEAKER_19
transcript.pyannote[75].start 2291.72346875
transcript.pyannote[75].end 2292.31409375
transcript.pyannote[76].speaker SPEAKER_19
transcript.pyannote[76].start 2292.80346875
transcript.pyannote[76].end 2295.75659375
transcript.pyannote[77].speaker SPEAKER_19
transcript.pyannote[77].start 2296.21221875
transcript.pyannote[77].end 2299.06409375
transcript.pyannote[78].speaker SPEAKER_19
transcript.pyannote[78].start 2299.35096875
transcript.pyannote[78].end 2302.35471875
transcript.pyannote[79].speaker SPEAKER_19
transcript.pyannote[79].start 2302.57409375
transcript.pyannote[79].end 2305.49346875
transcript.pyannote[80].speaker SPEAKER_19
transcript.pyannote[80].start 2305.74659375
transcript.pyannote[80].end 2306.89409375
transcript.pyannote[81].speaker SPEAKER_19
transcript.pyannote[81].start 2307.16409375
transcript.pyannote[81].end 2310.99471875
transcript.pyannote[82].speaker SPEAKER_19
transcript.pyannote[82].start 2311.24784375
transcript.pyannote[82].end 2311.95659375
transcript.pyannote[83].speaker SPEAKER_19
transcript.pyannote[83].start 2312.39534375
transcript.pyannote[83].end 2314.38659375
transcript.pyannote[84].speaker SPEAKER_19
transcript.pyannote[84].start 2314.90971875
transcript.pyannote[84].end 2316.07409375
transcript.pyannote[85].speaker SPEAKER_19
transcript.pyannote[85].start 2316.42846875
transcript.pyannote[85].end 2318.74034375
transcript.pyannote[86].speaker SPEAKER_19
transcript.pyannote[86].start 2319.04409375
transcript.pyannote[86].end 2325.64221875
transcript.pyannote[87].speaker SPEAKER_19
transcript.pyannote[87].start 2325.96284375
transcript.pyannote[87].end 2332.22346875
transcript.pyannote[88].speaker SPEAKER_19
transcript.pyannote[88].start 2332.44284375
transcript.pyannote[88].end 2334.13034375
transcript.pyannote[89].speaker SPEAKER_19
transcript.pyannote[89].start 2334.24846875
transcript.pyannote[89].end 2340.00284375
transcript.pyannote[90].speaker SPEAKER_19
transcript.pyannote[90].start 2340.64409375
transcript.pyannote[90].end 2342.16284375
transcript.pyannote[91].speaker SPEAKER_19
transcript.pyannote[91].start 2342.50034375
transcript.pyannote[91].end 2350.44846875
transcript.pyannote[92].speaker SPEAKER_19
transcript.pyannote[92].start 2350.63409375
transcript.pyannote[92].end 2358.27846875
transcript.pyannote[93].speaker SPEAKER_03
transcript.pyannote[93].start 2358.54846875
transcript.pyannote[93].end 2387.75909375
transcript.pyannote[94].speaker SPEAKER_19
transcript.pyannote[94].start 2365.34909375
transcript.pyannote[94].end 2365.87221875
transcript.pyannote[95].speaker SPEAKER_03
transcript.pyannote[95].start 2389.00784375
transcript.pyannote[95].end 2396.71971875
transcript.pyannote[96].speaker SPEAKER_03
transcript.pyannote[96].start 2396.95596875
transcript.pyannote[96].end 2404.78596875
transcript.pyannote[97].speaker SPEAKER_03
transcript.pyannote[97].start 2405.34284375
transcript.pyannote[97].end 2409.29159375
transcript.pyannote[98].speaker SPEAKER_03
transcript.pyannote[98].start 2409.51096875
transcript.pyannote[98].end 2426.38596875
transcript.pyannote[99].speaker SPEAKER_03
transcript.pyannote[99].start 2426.79096875
transcript.pyannote[99].end 2435.63346875
transcript.pyannote[100].speaker SPEAKER_03
transcript.pyannote[100].start 2435.86971875
transcript.pyannote[100].end 2446.04534375
transcript.pyannote[101].speaker SPEAKER_19
transcript.pyannote[101].start 2446.56846875
transcript.pyannote[101].end 2450.61846875
transcript.pyannote[102].speaker SPEAKER_19
transcript.pyannote[102].start 2450.95596875
transcript.pyannote[102].end 2454.11159375
transcript.pyannote[103].speaker SPEAKER_19
transcript.pyannote[103].start 2454.28034375
transcript.pyannote[103].end 2459.98409375
transcript.pyannote[104].speaker SPEAKER_02
transcript.pyannote[104].start 2459.98409375
transcript.pyannote[104].end 2469.63659375
transcript.pyannote[105].speaker SPEAKER_02
transcript.pyannote[105].start 2469.82221875
transcript.pyannote[105].end 2475.13784375
transcript.pyannote[106].speaker SPEAKER_02
transcript.pyannote[106].start 2475.15471875
transcript.pyannote[106].end 2479.03596875
transcript.pyannote[107].speaker SPEAKER_02
transcript.pyannote[107].start 2479.06971875
transcript.pyannote[107].end 2521.15596875
transcript.pyannote[108].speaker SPEAKER_03
transcript.pyannote[108].start 2516.66721875
transcript.pyannote[108].end 2573.50221875
transcript.pyannote[109].speaker SPEAKER_04
transcript.pyannote[109].start 2521.15596875
transcript.pyannote[109].end 2521.17284375
transcript.pyannote[110].speaker SPEAKER_04
transcript.pyannote[110].start 2526.26909375
transcript.pyannote[110].end 2526.30284375
transcript.pyannote[111].speaker SPEAKER_02
transcript.pyannote[111].start 2526.30284375
transcript.pyannote[111].end 2526.72471875
transcript.pyannote[112].speaker SPEAKER_02
transcript.pyannote[112].start 2527.88909375
transcript.pyannote[112].end 2528.14221875
transcript.pyannote[113].speaker SPEAKER_03
transcript.pyannote[113].start 2573.95784375
transcript.pyannote[113].end 2581.46721875
transcript.pyannote[114].speaker SPEAKER_03
transcript.pyannote[114].start 2581.68659375
transcript.pyannote[114].end 2585.16284375
transcript.pyannote[115].speaker SPEAKER_03
transcript.pyannote[115].start 2585.39909375
transcript.pyannote[115].end 2614.89659375
transcript.pyannote[116].speaker SPEAKER_03
transcript.pyannote[116].start 2615.43659375
transcript.pyannote[116].end 2619.87471875
transcript.pyannote[117].speaker SPEAKER_03
transcript.pyannote[117].start 2620.48221875
transcript.pyannote[117].end 2633.23971875
transcript.pyannote[118].speaker SPEAKER_02
transcript.pyannote[118].start 2631.58596875
transcript.pyannote[118].end 2648.12346875
transcript.pyannote[119].speaker SPEAKER_24
transcript.pyannote[119].start 2644.86659375
transcript.pyannote[119].end 2647.02659375
transcript.pyannote[120].speaker SPEAKER_03
transcript.pyannote[120].start 2647.02659375
transcript.pyannote[120].end 2649.52409375
transcript.pyannote[121].speaker SPEAKER_02
transcript.pyannote[121].start 2648.32596875
transcript.pyannote[121].end 2653.77659375
transcript.pyannote[122].speaker SPEAKER_03
transcript.pyannote[122].start 2651.49846875
transcript.pyannote[122].end 2657.91096875
transcript.pyannote[123].speaker SPEAKER_02
transcript.pyannote[123].start 2656.07159375
transcript.pyannote[123].end 2660.96534375
transcript.pyannote[124].speaker SPEAKER_03
transcript.pyannote[124].start 2659.64909375
transcript.pyannote[124].end 2685.43409375
transcript.pyannote[125].speaker SPEAKER_00
transcript.pyannote[125].start 2677.40159375
transcript.pyannote[125].end 2677.65471875
transcript.pyannote[126].speaker SPEAKER_17
transcript.pyannote[126].start 2677.65471875
transcript.pyannote[126].end 2677.90784375
transcript.pyannote[127].speaker SPEAKER_00
transcript.pyannote[127].start 2677.90784375
transcript.pyannote[127].end 2678.11034375
transcript.pyannote[128].speaker SPEAKER_03
transcript.pyannote[128].start 2686.24409375
transcript.pyannote[128].end 2686.68284375
transcript.pyannote[129].speaker SPEAKER_03
transcript.pyannote[129].start 2686.90221875
transcript.pyannote[129].end 2707.67534375
transcript.pyannote[130].speaker SPEAKER_03
transcript.pyannote[130].start 2708.24909375
transcript.pyannote[130].end 2713.54784375
transcript.pyannote[131].speaker SPEAKER_03
transcript.pyannote[131].start 2713.80096875
transcript.pyannote[131].end 2718.77909375
transcript.pyannote[132].speaker SPEAKER_02
transcript.pyannote[132].start 2718.28971875
transcript.pyannote[132].end 2735.60346875
transcript.pyannote[133].speaker SPEAKER_03
transcript.pyannote[133].start 2734.40534375
transcript.pyannote[133].end 2751.17909375
transcript.pyannote[134].speaker SPEAKER_02
transcript.pyannote[134].start 2736.37971875
transcript.pyannote[134].end 2736.73409375
transcript.pyannote[135].speaker SPEAKER_03
transcript.pyannote[135].start 2751.65159375
transcript.pyannote[135].end 2771.64846875
transcript.pyannote[136].speaker SPEAKER_11
transcript.pyannote[136].start 2775.74909375
transcript.pyannote[136].end 2778.58409375
transcript.pyannote[137].speaker SPEAKER_11
transcript.pyannote[137].start 2780.71034375
transcript.pyannote[137].end 2783.64659375
transcript.pyannote[138].speaker SPEAKER_11
transcript.pyannote[138].start 2805.55034375
transcript.pyannote[138].end 2805.58409375
transcript.pyannote[139].speaker SPEAKER_16
transcript.pyannote[139].start 2805.58409375
transcript.pyannote[139].end 2806.22534375
transcript.pyannote[140].speaker SPEAKER_16
transcript.pyannote[140].start 2807.74409375
transcript.pyannote[140].end 2808.82409375
transcript.pyannote[141].speaker SPEAKER_16
transcript.pyannote[141].start 2809.54971875
transcript.pyannote[141].end 2809.58346875
transcript.pyannote[142].speaker SPEAKER_16
transcript.pyannote[142].start 2809.83659375
transcript.pyannote[142].end 2817.63284375
transcript.pyannote[143].speaker SPEAKER_17
transcript.pyannote[143].start 2814.98346875
transcript.pyannote[143].end 2816.02971875
transcript.pyannote[144].speaker SPEAKER_16
transcript.pyannote[144].start 2818.98284375
transcript.pyannote[144].end 2819.59034375
transcript.pyannote[145].speaker SPEAKER_19
transcript.pyannote[145].start 2825.27721875
transcript.pyannote[145].end 2825.91846875
transcript.pyannote[146].speaker SPEAKER_16
transcript.pyannote[146].start 2826.37409375
transcript.pyannote[146].end 2832.90471875
transcript.pyannote[147].speaker SPEAKER_16
transcript.pyannote[147].start 2833.10721875
transcript.pyannote[147].end 2842.97909375
transcript.pyannote[148].speaker SPEAKER_16
transcript.pyannote[148].start 2843.58659375
transcript.pyannote[148].end 2845.66221875
transcript.pyannote[149].speaker SPEAKER_16
transcript.pyannote[149].start 2846.45534375
transcript.pyannote[149].end 2847.13034375
transcript.pyannote[150].speaker SPEAKER_16
transcript.pyannote[150].start 2848.64909375
transcript.pyannote[150].end 2858.03159375
transcript.pyannote[151].speaker SPEAKER_16
transcript.pyannote[151].start 2858.33534375
transcript.pyannote[151].end 2877.11721875
transcript.pyannote[152].speaker SPEAKER_16
transcript.pyannote[152].start 2877.42096875
transcript.pyannote[152].end 2888.60909375
transcript.pyannote[153].speaker SPEAKER_16
transcript.pyannote[153].start 2888.89596875
transcript.pyannote[153].end 2905.90596875
transcript.pyannote[154].speaker SPEAKER_16
transcript.pyannote[154].start 2906.05784375
transcript.pyannote[154].end 2918.98409375
transcript.pyannote[155].speaker SPEAKER_02
transcript.pyannote[155].start 2919.37221875
transcript.pyannote[155].end 2926.99971875
transcript.pyannote[156].speaker SPEAKER_02
transcript.pyannote[156].start 2927.33721875
transcript.pyannote[156].end 2930.93159375
transcript.pyannote[157].speaker SPEAKER_02
transcript.pyannote[157].start 2931.21846875
transcript.pyannote[157].end 2935.43721875
transcript.pyannote[158].speaker SPEAKER_02
transcript.pyannote[158].start 2935.70721875
transcript.pyannote[158].end 2975.07659375
transcript.pyannote[159].speaker SPEAKER_16
transcript.pyannote[159].start 2975.44784375
transcript.pyannote[159].end 2987.29409375
transcript.pyannote[160].speaker SPEAKER_17
transcript.pyannote[160].start 2987.19284375
transcript.pyannote[160].end 2987.54721875
transcript.pyannote[161].speaker SPEAKER_16
transcript.pyannote[161].start 2987.39534375
transcript.pyannote[161].end 3017.88846875
transcript.pyannote[162].speaker SPEAKER_02
transcript.pyannote[162].start 3017.97284375
transcript.pyannote[162].end 3022.47846875
transcript.pyannote[163].speaker SPEAKER_02
transcript.pyannote[163].start 3022.68096875
transcript.pyannote[163].end 3028.67159375
transcript.pyannote[164].speaker SPEAKER_02
transcript.pyannote[164].start 3028.82346875
transcript.pyannote[164].end 3030.98346875
transcript.pyannote[165].speaker SPEAKER_02
transcript.pyannote[165].start 3031.18596875
transcript.pyannote[165].end 3062.48909375
transcript.pyannote[166].speaker SPEAKER_16
transcript.pyannote[166].start 3062.87721875
transcript.pyannote[166].end 3073.77846875
transcript.pyannote[167].speaker SPEAKER_16
transcript.pyannote[167].start 3074.01471875
transcript.pyannote[167].end 3094.29846875
transcript.pyannote[168].speaker SPEAKER_16
transcript.pyannote[168].start 3094.56846875
transcript.pyannote[168].end 3102.80346875
transcript.pyannote[169].speaker SPEAKER_16
transcript.pyannote[169].start 3103.09034375
transcript.pyannote[169].end 3106.88721875
transcript.pyannote[170].speaker SPEAKER_16
transcript.pyannote[170].start 3107.17409375
transcript.pyannote[170].end 3118.66596875
transcript.pyannote[171].speaker SPEAKER_02
transcript.pyannote[171].start 3119.20596875
transcript.pyannote[171].end 3119.42534375
transcript.pyannote[172].speaker SPEAKER_02
transcript.pyannote[172].start 3121.48409375
transcript.pyannote[172].end 3140.97471875
transcript.pyannote[173].speaker SPEAKER_02
transcript.pyannote[173].start 3140.99159375
transcript.pyannote[173].end 3145.02471875
transcript.pyannote[174].speaker SPEAKER_02
transcript.pyannote[174].start 3145.12596875
transcript.pyannote[174].end 3170.03346875
transcript.pyannote[175].speaker SPEAKER_02
transcript.pyannote[175].start 3170.20221875
transcript.pyannote[175].end 3189.64221875
transcript.pyannote[176].speaker SPEAKER_16
transcript.pyannote[176].start 3190.26659375
transcript.pyannote[176].end 3243.45659375
transcript.pyannote[177].speaker SPEAKER_16
transcript.pyannote[177].start 3243.86159375
transcript.pyannote[177].end 3257.32784375
transcript.pyannote[178].speaker SPEAKER_02
transcript.pyannote[178].start 3257.32784375
transcript.pyannote[178].end 3263.14971875
transcript.pyannote[179].speaker SPEAKER_02
transcript.pyannote[179].start 3263.33534375
transcript.pyannote[179].end 3275.14784375
transcript.pyannote[180].speaker SPEAKER_02
transcript.pyannote[180].start 3275.16471875
transcript.pyannote[180].end 3279.02909375
transcript.pyannote[181].speaker SPEAKER_02
transcript.pyannote[181].start 3279.23159375
transcript.pyannote[181].end 3286.77471875
transcript.pyannote[182].speaker SPEAKER_02
transcript.pyannote[182].start 3286.84221875
transcript.pyannote[182].end 3296.03909375
transcript.pyannote[183].speaker SPEAKER_02
transcript.pyannote[183].start 3296.20784375
transcript.pyannote[183].end 3302.50221875
transcript.pyannote[184].speaker SPEAKER_02
transcript.pyannote[184].start 3302.60346875
transcript.pyannote[184].end 3314.29784375
transcript.pyannote[185].speaker SPEAKER_02
transcript.pyannote[185].start 3314.63534375
transcript.pyannote[185].end 3323.54534375
transcript.pyannote[186].speaker SPEAKER_16
transcript.pyannote[186].start 3323.81534375
transcript.pyannote[186].end 3334.39596875
transcript.pyannote[187].speaker SPEAKER_16
transcript.pyannote[187].start 3334.53096875
transcript.pyannote[187].end 3406.89096875
transcript.pyannote[188].speaker SPEAKER_16
transcript.pyannote[188].start 3406.97534375
transcript.pyannote[188].end 3429.92534375
transcript.pyannote[189].speaker SPEAKER_16
transcript.pyannote[189].start 3430.27971875
transcript.pyannote[189].end 3446.51346875
transcript.pyannote[190].speaker SPEAKER_16
transcript.pyannote[190].start 3446.61471875
transcript.pyannote[190].end 3472.72034375
transcript.pyannote[191].speaker SPEAKER_19
transcript.pyannote[191].start 3473.56409375
transcript.pyannote[191].end 3474.10409375
transcript.pyannote[192].speaker SPEAKER_19
transcript.pyannote[192].start 3474.77909375
transcript.pyannote[192].end 3479.52096875
transcript.pyannote[193].speaker SPEAKER_19
transcript.pyannote[193].start 3479.77409375
transcript.pyannote[193].end 3480.68534375
transcript.pyannote[194].speaker SPEAKER_19
transcript.pyannote[194].start 3480.78659375
transcript.pyannote[194].end 3482.23784375
transcript.pyannote[195].speaker SPEAKER_19
transcript.pyannote[195].start 3482.50784375
transcript.pyannote[195].end 3485.69721875
transcript.pyannote[196].speaker SPEAKER_19
transcript.pyannote[196].start 3486.03471875
transcript.pyannote[196].end 3488.09346875
transcript.pyannote[197].speaker SPEAKER_19
transcript.pyannote[197].start 3488.43096875
transcript.pyannote[197].end 3490.03409375
transcript.pyannote[198].speaker SPEAKER_19
transcript.pyannote[198].start 3490.57409375
transcript.pyannote[198].end 3491.60346875
transcript.pyannote[199].speaker SPEAKER_19
transcript.pyannote[199].start 3492.04221875
transcript.pyannote[199].end 3494.26971875
transcript.pyannote[200].speaker SPEAKER_19
transcript.pyannote[200].start 3494.84346875
transcript.pyannote[200].end 3495.77159375
transcript.pyannote[201].speaker SPEAKER_19
transcript.pyannote[201].start 3495.97409375
transcript.pyannote[201].end 3497.35784375
transcript.pyannote[202].speaker SPEAKER_19
transcript.pyannote[202].start 3497.57721875
transcript.pyannote[202].end 3499.36596875
transcript.pyannote[203].speaker SPEAKER_19
transcript.pyannote[203].start 3499.68659375
transcript.pyannote[203].end 3504.25971875
transcript.pyannote[204].speaker SPEAKER_19
transcript.pyannote[204].start 3504.85034375
transcript.pyannote[204].end 3508.02284375
transcript.pyannote[205].speaker SPEAKER_19
transcript.pyannote[205].start 3508.42784375
transcript.pyannote[205].end 3512.66346875
transcript.pyannote[206].speaker SPEAKER_19
transcript.pyannote[206].start 3513.30471875
transcript.pyannote[206].end 3517.82721875
transcript.pyannote[207].speaker SPEAKER_19
transcript.pyannote[207].start 3518.48534375
transcript.pyannote[207].end 3519.80159375
transcript.pyannote[208].speaker SPEAKER_19
transcript.pyannote[208].start 3520.07159375
transcript.pyannote[208].end 3521.37096875
transcript.pyannote[209].speaker SPEAKER_00
transcript.pyannote[209].start 3520.37534375
transcript.pyannote[209].end 3520.47659375
transcript.pyannote[210].speaker SPEAKER_19
transcript.pyannote[210].start 3521.82659375
transcript.pyannote[210].end 3525.72471875
transcript.pyannote[211].speaker SPEAKER_19
transcript.pyannote[211].start 3526.23096875
transcript.pyannote[211].end 3530.19659375
transcript.pyannote[212].speaker SPEAKER_19
transcript.pyannote[212].start 3530.36534375
transcript.pyannote[212].end 3531.29346875
transcript.pyannote[213].speaker SPEAKER_19
transcript.pyannote[213].start 3531.64784375
transcript.pyannote[213].end 3534.85409375
transcript.pyannote[214].speaker SPEAKER_19
transcript.pyannote[214].start 3535.20846875
transcript.pyannote[214].end 3536.03534375
transcript.pyannote[215].speaker SPEAKER_19
transcript.pyannote[215].start 3536.65971875
transcript.pyannote[215].end 3539.17409375
transcript.pyannote[216].speaker SPEAKER_19
transcript.pyannote[216].start 3539.59596875
transcript.pyannote[216].end 3540.47346875
transcript.pyannote[217].speaker SPEAKER_19
transcript.pyannote[217].start 3540.79409375
transcript.pyannote[217].end 3549.65346875
transcript.pyannote[218].speaker SPEAKER_00
transcript.pyannote[218].start 3544.47284375
transcript.pyannote[218].end 3544.92846875
transcript.pyannote[219].speaker SPEAKER_19
transcript.pyannote[219].start 3550.07534375
transcript.pyannote[219].end 3550.66596875
transcript.pyannote[220].speaker SPEAKER_19
transcript.pyannote[220].start 3550.98659375
transcript.pyannote[220].end 3553.78784375
transcript.pyannote[221].speaker SPEAKER_19
transcript.pyannote[221].start 3554.19284375
transcript.pyannote[221].end 3557.33159375
transcript.pyannote[222].speaker SPEAKER_02
transcript.pyannote[222].start 3557.77034375
transcript.pyannote[222].end 3571.15221875
transcript.pyannote[223].speaker SPEAKER_19
transcript.pyannote[223].start 3557.80409375
transcript.pyannote[223].end 3559.27221875
transcript.pyannote[224].speaker SPEAKER_02
transcript.pyannote[224].start 3571.60784375
transcript.pyannote[224].end 3576.78846875
transcript.pyannote[225].speaker SPEAKER_02
transcript.pyannote[225].start 3577.02471875
transcript.pyannote[225].end 3579.69096875
transcript.pyannote[226].speaker SPEAKER_02
transcript.pyannote[226].start 3579.79221875
transcript.pyannote[226].end 3585.29346875
transcript.pyannote[227].speaker SPEAKER_02
transcript.pyannote[227].start 3585.49596875
transcript.pyannote[227].end 3590.37284375
transcript.pyannote[228].speaker SPEAKER_02
transcript.pyannote[228].start 3590.49096875
transcript.pyannote[228].end 3593.73096875
transcript.pyannote[229].speaker SPEAKER_16
transcript.pyannote[229].start 3593.98409375
transcript.pyannote[229].end 3599.89034375
transcript.pyannote[230].speaker SPEAKER_16
transcript.pyannote[230].start 3600.12659375
transcript.pyannote[230].end 3608.61471875
transcript.pyannote[231].speaker SPEAKER_16
transcript.pyannote[231].start 3609.08721875
transcript.pyannote[231].end 3613.91346875
transcript.pyannote[232].speaker SPEAKER_16
transcript.pyannote[232].start 3614.16659375
transcript.pyannote[232].end 3624.08909375
transcript.pyannote[233].speaker SPEAKER_16
transcript.pyannote[233].start 3624.64596875
transcript.pyannote[233].end 3629.60721875
transcript.pyannote[234].speaker SPEAKER_16
transcript.pyannote[234].start 3629.87721875
transcript.pyannote[234].end 3633.16784375
transcript.pyannote[235].speaker SPEAKER_16
transcript.pyannote[235].start 3633.18471875
transcript.pyannote[235].end 3640.05284375
transcript.pyannote[236].speaker SPEAKER_16
transcript.pyannote[236].start 3640.35659375
transcript.pyannote[236].end 3645.19971875
transcript.pyannote[237].speaker SPEAKER_16
transcript.pyannote[237].start 3645.55409375
transcript.pyannote[237].end 3654.31221875
transcript.pyannote[238].speaker SPEAKER_16
transcript.pyannote[238].start 3654.37971875
transcript.pyannote[238].end 3684.83909375
transcript.pyannote[239].speaker SPEAKER_16
transcript.pyannote[239].start 3684.95721875
transcript.pyannote[239].end 3706.52346875
transcript.pyannote[240].speaker SPEAKER_16
transcript.pyannote[240].start 3707.11409375
transcript.pyannote[240].end 3709.51034375
transcript.pyannote[241].speaker SPEAKER_16
transcript.pyannote[241].start 3709.76346875
transcript.pyannote[241].end 3722.30159375
transcript.pyannote[242].speaker SPEAKER_16
transcript.pyannote[242].start 3722.38596875
transcript.pyannote[242].end 3724.81596875
transcript.pyannote[243].speaker SPEAKER_14
transcript.pyannote[243].start 3725.49096875
transcript.pyannote[243].end 3726.52034375
transcript.pyannote[244].speaker SPEAKER_14
transcript.pyannote[244].start 3726.55409375
transcript.pyannote[244].end 3729.52409375
transcript.pyannote[245].speaker SPEAKER_11
transcript.pyannote[245].start 3757.08096875
transcript.pyannote[245].end 3758.38034375
transcript.pyannote[246].speaker SPEAKER_11
transcript.pyannote[246].start 3760.64159375
transcript.pyannote[246].end 3761.63721875
transcript.pyannote[247].speaker SPEAKER_11
transcript.pyannote[247].start 3763.13909375
transcript.pyannote[247].end 3766.04159375
transcript.pyannote[248].speaker SPEAKER_16
transcript.pyannote[248].start 3785.46471875
transcript.pyannote[248].end 3789.14346875
transcript.pyannote[249].speaker SPEAKER_11
transcript.pyannote[249].start 3789.37971875
transcript.pyannote[249].end 3790.64534375
transcript.pyannote[250].speaker SPEAKER_16
transcript.pyannote[250].start 3800.56784375
transcript.pyannote[250].end 3802.50846875
transcript.pyannote[251].speaker SPEAKER_16
transcript.pyannote[251].start 3803.01471875
transcript.pyannote[251].end 3803.38596875
transcript.pyannote[252].speaker SPEAKER_16
transcript.pyannote[252].start 3804.02721875
transcript.pyannote[252].end 3804.46596875
transcript.pyannote[253].speaker SPEAKER_16
transcript.pyannote[253].start 3804.78659375
transcript.pyannote[253].end 3805.49534375
transcript.pyannote[254].speaker SPEAKER_16
transcript.pyannote[254].start 3806.00159375
transcript.pyannote[254].end 3807.87471875
transcript.pyannote[255].speaker SPEAKER_16
transcript.pyannote[255].start 3808.48221875
transcript.pyannote[255].end 3811.01346875
transcript.pyannote[256].speaker SPEAKER_16
transcript.pyannote[256].start 3811.85721875
transcript.pyannote[256].end 3814.59096875
transcript.pyannote[257].speaker SPEAKER_16
transcript.pyannote[257].start 3814.91159375
transcript.pyannote[257].end 3815.87346875
transcript.pyannote[258].speaker SPEAKER_16
transcript.pyannote[258].start 3816.39659375
transcript.pyannote[258].end 3818.47221875
transcript.pyannote[259].speaker SPEAKER_16
transcript.pyannote[259].start 3819.04596875
transcript.pyannote[259].end 3821.18909375
transcript.pyannote[260].speaker SPEAKER_16
transcript.pyannote[260].start 3821.62784375
transcript.pyannote[260].end 3822.60659375
transcript.pyannote[261].speaker SPEAKER_16
transcript.pyannote[261].start 3823.04534375
transcript.pyannote[261].end 3824.53034375
transcript.pyannote[262].speaker SPEAKER_16
transcript.pyannote[262].start 3825.28971875
transcript.pyannote[262].end 3828.76596875
transcript.pyannote[263].speaker SPEAKER_16
transcript.pyannote[263].start 3829.17096875
transcript.pyannote[263].end 3840.67971875
transcript.pyannote[264].speaker SPEAKER_19
transcript.pyannote[264].start 3841.74284375
transcript.pyannote[264].end 3846.40034375
transcript.pyannote[265].speaker SPEAKER_19
transcript.pyannote[265].start 3846.60284375
transcript.pyannote[265].end 3855.32721875
transcript.pyannote[266].speaker SPEAKER_19
transcript.pyannote[266].start 3855.59721875
transcript.pyannote[266].end 3858.83721875
transcript.pyannote[267].speaker SPEAKER_16
transcript.pyannote[267].start 3858.26346875
transcript.pyannote[267].end 3867.74721875
transcript.pyannote[268].speaker SPEAKER_16
transcript.pyannote[268].start 3867.89909375
transcript.pyannote[268].end 3879.03659375
transcript.pyannote[269].speaker SPEAKER_19
transcript.pyannote[269].start 3879.03659375
transcript.pyannote[269].end 3880.09971875
transcript.pyannote[270].speaker SPEAKER_19
transcript.pyannote[270].start 3881.55096875
transcript.pyannote[270].end 3883.72784375
transcript.pyannote[271].speaker SPEAKER_19
transcript.pyannote[271].start 3884.26784375
transcript.pyannote[271].end 3885.14534375
transcript.pyannote[272].speaker SPEAKER_19
transcript.pyannote[272].start 3885.80346875
transcript.pyannote[272].end 3889.12784375
transcript.pyannote[273].speaker SPEAKER_19
transcript.pyannote[273].start 3889.63409375
transcript.pyannote[273].end 3890.91659375
transcript.pyannote[274].speaker SPEAKER_16
transcript.pyannote[274].start 3890.91659375
transcript.pyannote[274].end 3891.03471875
transcript.pyannote[275].speaker SPEAKER_16
transcript.pyannote[275].start 3891.10221875
transcript.pyannote[275].end 3891.16971875
transcript.pyannote[276].speaker SPEAKER_19
transcript.pyannote[276].start 3891.16971875
transcript.pyannote[276].end 3891.96284375
transcript.pyannote[277].speaker SPEAKER_16
transcript.pyannote[277].start 3891.96284375
transcript.pyannote[277].end 3904.02846875
transcript.pyannote[278].speaker SPEAKER_19
transcript.pyannote[278].start 3904.02846875
transcript.pyannote[278].end 3905.19284375
transcript.pyannote[279].speaker SPEAKER_16
transcript.pyannote[279].start 3905.19284375
transcript.pyannote[279].end 3905.20971875
transcript.pyannote[280].speaker SPEAKER_19
transcript.pyannote[280].start 3905.46284375
transcript.pyannote[280].end 3907.89284375
transcript.pyannote[281].speaker SPEAKER_19
transcript.pyannote[281].start 3908.07846875
transcript.pyannote[281].end 3913.96784375
transcript.pyannote[282].speaker SPEAKER_16
transcript.pyannote[282].start 3913.96784375
transcript.pyannote[282].end 3914.23784375
transcript.pyannote[283].speaker SPEAKER_16
transcript.pyannote[283].start 3914.55846875
transcript.pyannote[283].end 3914.57534375
transcript.pyannote[284].speaker SPEAKER_16
transcript.pyannote[284].start 3914.87909375
transcript.pyannote[284].end 3916.51596875
transcript.pyannote[285].speaker SPEAKER_16
transcript.pyannote[285].start 3916.78596875
transcript.pyannote[285].end 3918.82784375
transcript.pyannote[286].speaker SPEAKER_16
transcript.pyannote[286].start 3919.08096875
transcript.pyannote[286].end 3923.33346875
transcript.pyannote[287].speaker SPEAKER_16
transcript.pyannote[287].start 3923.62034375
transcript.pyannote[287].end 3926.77596875
transcript.pyannote[288].speaker SPEAKER_16
transcript.pyannote[288].start 3926.87721875
transcript.pyannote[288].end 3930.91034375
transcript.pyannote[289].speaker SPEAKER_16
transcript.pyannote[289].start 3931.23096875
transcript.pyannote[289].end 3935.11221875
transcript.pyannote[290].speaker SPEAKER_16
transcript.pyannote[290].start 3935.58471875
transcript.pyannote[290].end 3939.41534375
transcript.pyannote[291].speaker SPEAKER_16
transcript.pyannote[291].start 3939.49971875
transcript.pyannote[291].end 3944.24159375
transcript.pyannote[292].speaker SPEAKER_16
transcript.pyannote[292].start 3944.56221875
transcript.pyannote[292].end 3945.59159375
transcript.pyannote[293].speaker SPEAKER_16
transcript.pyannote[293].start 3947.29596875
transcript.pyannote[293].end 3949.86096875
transcript.pyannote[294].speaker SPEAKER_16
transcript.pyannote[294].start 3950.08034375
transcript.pyannote[294].end 3950.99159375
transcript.pyannote[295].speaker SPEAKER_16
transcript.pyannote[295].start 3951.24471875
transcript.pyannote[295].end 3952.74659375
transcript.pyannote[296].speaker SPEAKER_19
transcript.pyannote[296].start 3953.33721875
transcript.pyannote[296].end 3953.77596875
transcript.pyannote[297].speaker SPEAKER_19
transcript.pyannote[297].start 3954.06284375
transcript.pyannote[297].end 3955.39596875
transcript.pyannote[298].speaker SPEAKER_19
transcript.pyannote[298].start 3955.63221875
transcript.pyannote[298].end 3956.93159375
transcript.pyannote[299].speaker SPEAKER_19
transcript.pyannote[299].start 3957.38721875
transcript.pyannote[299].end 3959.71596875
transcript.pyannote[300].speaker SPEAKER_19
transcript.pyannote[300].start 3959.90159375
transcript.pyannote[300].end 3975.20721875
transcript.pyannote[301].speaker SPEAKER_16
transcript.pyannote[301].start 3966.07784375
transcript.pyannote[301].end 3966.36471875
transcript.pyannote[302].speaker SPEAKER_16
transcript.pyannote[302].start 3972.03471875
transcript.pyannote[302].end 3984.94409375
transcript.pyannote[303].speaker SPEAKER_16
transcript.pyannote[303].start 3985.06221875
transcript.pyannote[303].end 3996.26721875
transcript.pyannote[304].speaker SPEAKER_19
transcript.pyannote[304].start 3997.34721875
transcript.pyannote[304].end 3998.52846875
transcript.pyannote[305].speaker SPEAKER_19
transcript.pyannote[305].start 3998.68034375
transcript.pyannote[305].end 3998.69721875
transcript.pyannote[306].speaker SPEAKER_16
transcript.pyannote[306].start 3998.69721875
transcript.pyannote[306].end 4000.38471875
transcript.pyannote[307].speaker SPEAKER_16
transcript.pyannote[307].start 4000.63784375
transcript.pyannote[307].end 4003.08471875
transcript.pyannote[308].speaker SPEAKER_16
transcript.pyannote[308].start 4003.92846875
transcript.pyannote[308].end 4005.26159375
transcript.pyannote[309].speaker SPEAKER_16
transcript.pyannote[309].start 4005.88596875
transcript.pyannote[309].end 4013.47971875
transcript.pyannote[310].speaker SPEAKER_16
transcript.pyannote[310].start 4013.74971875
transcript.pyannote[310].end 4015.28534375
transcript.pyannote[311].speaker SPEAKER_16
transcript.pyannote[311].start 4015.38659375
transcript.pyannote[311].end 4020.56721875
transcript.pyannote[312].speaker SPEAKER_16
transcript.pyannote[312].start 4020.76971875
transcript.pyannote[312].end 4023.01409375
transcript.pyannote[313].speaker SPEAKER_16
transcript.pyannote[313].start 4024.09409375
transcript.pyannote[313].end 4024.11096875
transcript.pyannote[314].speaker SPEAKER_19
transcript.pyannote[314].start 4024.11096875
transcript.pyannote[314].end 4025.64659375
transcript.pyannote[315].speaker SPEAKER_16
transcript.pyannote[315].start 4025.29221875
transcript.pyannote[315].end 4025.35971875
transcript.pyannote[316].speaker SPEAKER_16
transcript.pyannote[316].start 4025.39346875
transcript.pyannote[316].end 4025.52846875
transcript.pyannote[317].speaker SPEAKER_19
transcript.pyannote[317].start 4025.91659375
transcript.pyannote[317].end 4028.07659375
transcript.pyannote[318].speaker SPEAKER_19
transcript.pyannote[318].start 4028.44784375
transcript.pyannote[318].end 4030.60784375
transcript.pyannote[319].speaker SPEAKER_19
transcript.pyannote[319].start 4030.94534375
transcript.pyannote[319].end 4032.66659375
transcript.pyannote[320].speaker SPEAKER_19
transcript.pyannote[320].start 4032.95346875
transcript.pyannote[320].end 4033.79721875
transcript.pyannote[321].speaker SPEAKER_19
transcript.pyannote[321].start 4034.13471875
transcript.pyannote[321].end 4034.82659375
transcript.pyannote[322].speaker SPEAKER_19
transcript.pyannote[322].start 4035.11346875
transcript.pyannote[322].end 4037.37471875
transcript.pyannote[323].speaker SPEAKER_19
transcript.pyannote[323].start 4037.94846875
transcript.pyannote[323].end 4038.38721875
transcript.pyannote[324].speaker SPEAKER_19
transcript.pyannote[324].start 4039.01159375
transcript.pyannote[324].end 4050.03096875
transcript.pyannote[325].speaker SPEAKER_10
transcript.pyannote[325].start 4040.26034375
transcript.pyannote[325].end 4041.03659375
transcript.pyannote[326].speaker SPEAKER_15
transcript.pyannote[326].start 4041.03659375
transcript.pyannote[326].end 4041.23909375
transcript.pyannote[327].speaker SPEAKER_16
transcript.pyannote[327].start 4041.23909375
transcript.pyannote[327].end 4041.28971875
transcript.pyannote[328].speaker SPEAKER_15
transcript.pyannote[328].start 4041.28971875
transcript.pyannote[328].end 4042.89284375
transcript.pyannote[329].speaker SPEAKER_16
transcript.pyannote[329].start 4042.89284375
transcript.pyannote[329].end 4042.92659375
transcript.pyannote[330].speaker SPEAKER_16
transcript.pyannote[330].start 4044.49596875
transcript.pyannote[330].end 4044.74909375
transcript.pyannote[331].speaker SPEAKER_19
transcript.pyannote[331].start 4050.62159375
transcript.pyannote[331].end 4052.66346875
transcript.pyannote[332].speaker SPEAKER_16
transcript.pyannote[332].start 4051.27971875
transcript.pyannote[332].end 4051.68471875
transcript.pyannote[333].speaker SPEAKER_16
transcript.pyannote[333].start 4052.66346875
transcript.pyannote[333].end 4052.71409375
transcript.pyannote[334].speaker SPEAKER_19
transcript.pyannote[334].start 4053.13596875
transcript.pyannote[334].end 4053.18659375
transcript.pyannote[335].speaker SPEAKER_16
transcript.pyannote[335].start 4053.18659375
transcript.pyannote[335].end 4055.54909375
transcript.pyannote[336].speaker SPEAKER_16
transcript.pyannote[336].start 4056.07221875
transcript.pyannote[336].end 4072.33971875
transcript.pyannote[337].speaker SPEAKER_16
transcript.pyannote[337].start 4072.71096875
transcript.pyannote[337].end 4075.22534375
transcript.pyannote[338].speaker SPEAKER_16
transcript.pyannote[338].start 4075.69784375
transcript.pyannote[338].end 4078.51596875
transcript.pyannote[339].speaker SPEAKER_16
transcript.pyannote[339].start 4078.61721875
transcript.pyannote[339].end 4081.67159375
transcript.pyannote[340].speaker SPEAKER_19
transcript.pyannote[340].start 4082.73471875
transcript.pyannote[340].end 4084.47284375
transcript.pyannote[341].speaker SPEAKER_19
transcript.pyannote[341].start 4084.89471875
transcript.pyannote[341].end 4086.81846875
transcript.pyannote[342].speaker SPEAKER_19
transcript.pyannote[342].start 4087.34159375
transcript.pyannote[342].end 4091.50971875
transcript.pyannote[343].speaker SPEAKER_19
transcript.pyannote[343].start 4091.98221875
transcript.pyannote[343].end 4093.70346875
transcript.pyannote[344].speaker SPEAKER_19
transcript.pyannote[344].start 4094.14221875
transcript.pyannote[344].end 4106.57909375
transcript.pyannote[345].speaker SPEAKER_17
transcript.pyannote[345].start 4099.17096875
transcript.pyannote[345].end 4099.22159375
transcript.pyannote[346].speaker SPEAKER_14
transcript.pyannote[346].start 4099.22159375
transcript.pyannote[346].end 4099.30596875
transcript.pyannote[347].speaker SPEAKER_17
transcript.pyannote[347].start 4099.30596875
transcript.pyannote[347].end 4099.87971875
transcript.pyannote[348].speaker SPEAKER_14
transcript.pyannote[348].start 4099.87971875
transcript.pyannote[348].end 4099.96409375
transcript.pyannote[349].speaker SPEAKER_15
transcript.pyannote[349].start 4099.96409375
transcript.pyannote[349].end 4100.03159375
transcript.pyannote[350].speaker SPEAKER_16
transcript.pyannote[350].start 4100.03159375
transcript.pyannote[350].end 4100.47034375
transcript.pyannote[351].speaker SPEAKER_16
transcript.pyannote[351].start 4101.33096875
transcript.pyannote[351].end 4118.30721875
transcript.pyannote[352].speaker SPEAKER_16
transcript.pyannote[352].start 4118.94846875
transcript.pyannote[352].end 4119.38721875
transcript.pyannote[353].speaker SPEAKER_16
transcript.pyannote[353].start 4119.97784375
transcript.pyannote[353].end 4121.78346875
transcript.pyannote[354].speaker SPEAKER_19
transcript.pyannote[354].start 4120.31534375
transcript.pyannote[354].end 4123.35284375
transcript.pyannote[355].speaker SPEAKER_16
transcript.pyannote[355].start 4122.30659375
transcript.pyannote[355].end 4123.67346875
transcript.pyannote[356].speaker SPEAKER_16
transcript.pyannote[356].start 4124.46659375
transcript.pyannote[356].end 4124.95596875
transcript.pyannote[357].speaker SPEAKER_16
transcript.pyannote[357].start 4125.68159375
transcript.pyannote[357].end 4126.76159375
transcript.pyannote[358].speaker SPEAKER_16
transcript.pyannote[358].start 4127.26784375
transcript.pyannote[358].end 4130.98034375
transcript.pyannote[359].speaker SPEAKER_19
transcript.pyannote[359].start 4130.67659375
transcript.pyannote[359].end 4131.01409375
transcript.pyannote[360].speaker SPEAKER_16
transcript.pyannote[360].start 4131.01409375
transcript.pyannote[360].end 4131.30096875
transcript.pyannote[361].speaker SPEAKER_19
transcript.pyannote[361].start 4131.30096875
transcript.pyannote[361].end 4131.41909375
transcript.pyannote[362].speaker SPEAKER_16
transcript.pyannote[362].start 4131.41909375
transcript.pyannote[362].end 4131.57096875
transcript.pyannote[363].speaker SPEAKER_19
transcript.pyannote[363].start 4131.57096875
transcript.pyannote[363].end 4131.97596875
transcript.pyannote[364].speaker SPEAKER_16
transcript.pyannote[364].start 4131.97596875
transcript.pyannote[364].end 4136.39721875
transcript.pyannote[365].speaker SPEAKER_19
transcript.pyannote[365].start 4132.85346875
transcript.pyannote[365].end 4133.24159375
transcript.pyannote[366].speaker SPEAKER_19
transcript.pyannote[366].start 4136.39721875
transcript.pyannote[366].end 4150.79159375
transcript.pyannote[367].speaker SPEAKER_16
transcript.pyannote[367].start 4146.28596875
transcript.pyannote[367].end 4152.24284375
transcript.pyannote[368].speaker SPEAKER_16
transcript.pyannote[368].start 4152.69846875
transcript.pyannote[368].end 4154.52096875
transcript.pyannote[369].speaker SPEAKER_16
transcript.pyannote[369].start 4155.01034375
transcript.pyannote[369].end 4156.81596875
transcript.pyannote[370].speaker SPEAKER_16
transcript.pyannote[370].start 4157.11971875
transcript.pyannote[370].end 4164.19034375
transcript.pyannote[371].speaker SPEAKER_16
transcript.pyannote[371].start 4165.86096875
transcript.pyannote[371].end 4166.85659375
transcript.pyannote[372].speaker SPEAKER_16
transcript.pyannote[372].start 4167.21096875
transcript.pyannote[372].end 4170.80534375
transcript.pyannote[373].speaker SPEAKER_16
transcript.pyannote[373].start 4171.29471875
transcript.pyannote[373].end 4171.69971875
transcript.pyannote[374].speaker SPEAKER_16
transcript.pyannote[374].start 4172.47596875
transcript.pyannote[374].end 4174.92284375
transcript.pyannote[375].speaker SPEAKER_16
transcript.pyannote[375].start 4175.74971875
transcript.pyannote[375].end 4177.31909375
transcript.pyannote[376].speaker SPEAKER_16
transcript.pyannote[376].start 4177.65659375
transcript.pyannote[376].end 4180.66034375
transcript.pyannote[377].speaker SPEAKER_16
transcript.pyannote[377].start 4180.89659375
transcript.pyannote[377].end 4185.01409375
transcript.pyannote[378].speaker SPEAKER_19
transcript.pyannote[378].start 4185.55409375
transcript.pyannote[378].end 4200.85971875
transcript.pyannote[379].speaker SPEAKER_19
transcript.pyannote[379].start 4201.01159375
transcript.pyannote[379].end 4208.77409375
transcript.pyannote[380].speaker SPEAKER_19
transcript.pyannote[380].start 4209.24659375
transcript.pyannote[380].end 4211.03534375
transcript.pyannote[381].speaker SPEAKER_19
transcript.pyannote[381].start 4212.01409375
transcript.pyannote[381].end 4217.97096875
transcript.pyannote[382].speaker SPEAKER_16
transcript.pyannote[382].start 4217.97096875
transcript.pyannote[382].end 4221.90284375
transcript.pyannote[383].speaker SPEAKER_16
transcript.pyannote[383].start 4221.97034375
transcript.pyannote[383].end 4224.02909375
transcript.pyannote[384].speaker SPEAKER_19
transcript.pyannote[384].start 4224.02909375
transcript.pyannote[384].end 4224.77159375
transcript.pyannote[385].speaker SPEAKER_16
transcript.pyannote[385].start 4224.77159375
transcript.pyannote[385].end 4229.02409375
transcript.pyannote[386].speaker SPEAKER_19
transcript.pyannote[386].start 4225.61534375
transcript.pyannote[386].end 4225.96971875
transcript.pyannote[387].speaker SPEAKER_19
transcript.pyannote[387].start 4226.03721875
transcript.pyannote[387].end 4226.23971875
transcript.pyannote[388].speaker SPEAKER_19
transcript.pyannote[388].start 4226.35784375
transcript.pyannote[388].end 4226.71221875
transcript.pyannote[389].speaker SPEAKER_16
transcript.pyannote[389].start 4229.20971875
transcript.pyannote[389].end 4230.84659375
transcript.pyannote[390].speaker SPEAKER_16
transcript.pyannote[390].start 4230.93096875
transcript.pyannote[390].end 4232.02784375
transcript.pyannote[391].speaker SPEAKER_16
transcript.pyannote[391].start 4232.28096875
transcript.pyannote[391].end 4233.02346875
transcript.pyannote[392].speaker SPEAKER_19
transcript.pyannote[392].start 4233.02346875
transcript.pyannote[392].end 4237.57971875
transcript.pyannote[393].speaker SPEAKER_19
transcript.pyannote[393].start 4239.48659375
transcript.pyannote[393].end 4247.38409375
transcript.pyannote[394].speaker SPEAKER_00
transcript.pyannote[394].start 4241.39346875
transcript.pyannote[394].end 4241.51159375
transcript.pyannote[395].speaker SPEAKER_14
transcript.pyannote[395].start 4241.51159375
transcript.pyannote[395].end 4242.08534375
transcript.pyannote[396].speaker SPEAKER_00
transcript.pyannote[396].start 4242.08534375
transcript.pyannote[396].end 4242.27096875
transcript.pyannote[397].speaker SPEAKER_00
transcript.pyannote[397].start 4243.01346875
transcript.pyannote[397].end 4243.06409375
transcript.pyannote[398].speaker SPEAKER_14
transcript.pyannote[398].start 4243.06409375
transcript.pyannote[398].end 4243.77284375
transcript.pyannote[399].speaker SPEAKER_00
transcript.pyannote[399].start 4243.77284375
transcript.pyannote[399].end 4243.95846875
transcript.pyannote[400].speaker SPEAKER_14
transcript.pyannote[400].start 4243.95846875
transcript.pyannote[400].end 4243.97534375
transcript.pyannote[401].speaker SPEAKER_00
transcript.pyannote[401].start 4243.97534375
transcript.pyannote[401].end 4245.76409375
transcript.pyannote[402].speaker SPEAKER_00
transcript.pyannote[402].start 4246.48971875
transcript.pyannote[402].end 4247.26596875
transcript.pyannote[403].speaker SPEAKER_19
transcript.pyannote[403].start 4247.68784375
transcript.pyannote[403].end 4257.66096875
transcript.pyannote[404].speaker SPEAKER_15
transcript.pyannote[404].start 4248.27846875
transcript.pyannote[404].end 4250.50596875
transcript.pyannote[405].speaker SPEAKER_17
transcript.pyannote[405].start 4250.50596875
transcript.pyannote[405].end 4250.59034375
transcript.pyannote[406].speaker SPEAKER_10
transcript.pyannote[406].start 4250.59034375
transcript.pyannote[406].end 4250.67471875
transcript.pyannote[407].speaker SPEAKER_00
transcript.pyannote[407].start 4250.67471875
transcript.pyannote[407].end 4250.72534375
transcript.pyannote[408].speaker SPEAKER_19
transcript.pyannote[408].start 4257.96471875
transcript.pyannote[408].end 4267.68471875
transcript.pyannote[409].speaker SPEAKER_16
transcript.pyannote[409].start 4266.57096875
transcript.pyannote[409].end 4281.33659375
transcript.pyannote[410].speaker SPEAKER_16
transcript.pyannote[410].start 4281.50534375
transcript.pyannote[410].end 4296.03471875
transcript.pyannote[411].speaker SPEAKER_16
transcript.pyannote[411].start 4296.76034375
transcript.pyannote[411].end 4299.13971875
transcript.pyannote[412].speaker SPEAKER_16
transcript.pyannote[412].start 4299.20721875
transcript.pyannote[412].end 4300.11846875
transcript.pyannote[413].speaker SPEAKER_16
transcript.pyannote[413].start 4300.27034375
transcript.pyannote[413].end 4301.77221875
transcript.pyannote[414].speaker SPEAKER_19
transcript.pyannote[414].start 4300.79346875
transcript.pyannote[414].end 4301.65409375
transcript.pyannote[415].speaker SPEAKER_16
transcript.pyannote[415].start 4302.09284375
transcript.pyannote[415].end 4307.05409375
transcript.pyannote[416].speaker SPEAKER_19
transcript.pyannote[416].start 4302.26159375
transcript.pyannote[416].end 4302.76784375
transcript.pyannote[417].speaker SPEAKER_19
transcript.pyannote[417].start 4303.96596875
transcript.pyannote[417].end 4307.23971875
transcript.pyannote[418].speaker SPEAKER_14
transcript.pyannote[418].start 4307.05409375
transcript.pyannote[418].end 4307.08784375
transcript.pyannote[419].speaker SPEAKER_19
transcript.pyannote[419].start 4307.35784375
transcript.pyannote[419].end 4312.63971875
transcript.pyannote[420].speaker SPEAKER_19
transcript.pyannote[420].start 4312.94346875
transcript.pyannote[420].end 4316.62221875
transcript.pyannote[421].speaker SPEAKER_19
transcript.pyannote[421].start 4316.92596875
transcript.pyannote[421].end 4318.44471875
transcript.pyannote[422].speaker SPEAKER_19
transcript.pyannote[422].start 4318.61346875
transcript.pyannote[422].end 4325.75159375
transcript.pyannote[423].speaker SPEAKER_16
transcript.pyannote[423].start 4319.33909375
transcript.pyannote[423].end 4323.86159375
transcript.pyannote[424].speaker SPEAKER_16
transcript.pyannote[424].start 4325.26221875
transcript.pyannote[424].end 4331.03346875
transcript.pyannote[425].speaker SPEAKER_19
transcript.pyannote[425].start 4331.03346875
transcript.pyannote[425].end 4331.11784375
transcript.pyannote[426].speaker SPEAKER_19
transcript.pyannote[426].start 4331.32034375
transcript.pyannote[426].end 4335.65721875
transcript.pyannote[427].speaker SPEAKER_16
transcript.pyannote[427].start 4334.79659375
transcript.pyannote[427].end 4337.56409375
transcript.pyannote[428].speaker SPEAKER_16
transcript.pyannote[428].start 4338.84659375
transcript.pyannote[428].end 4341.96846875
transcript.pyannote[429].speaker SPEAKER_16
transcript.pyannote[429].start 4342.23846875
transcript.pyannote[429].end 4347.97596875
transcript.pyannote[430].speaker SPEAKER_16
transcript.pyannote[430].start 4348.14471875
transcript.pyannote[430].end 4349.57909375
transcript.pyannote[431].speaker SPEAKER_19
transcript.pyannote[431].start 4349.57909375
transcript.pyannote[431].end 4349.59596875
transcript.pyannote[432].speaker SPEAKER_19
transcript.pyannote[432].start 4350.22034375
transcript.pyannote[432].end 4353.19034375
transcript.pyannote[433].speaker SPEAKER_16
transcript.pyannote[433].start 4354.08471875
transcript.pyannote[433].end 4356.54846875
transcript.pyannote[434].speaker SPEAKER_16
transcript.pyannote[434].start 4357.15596875
transcript.pyannote[434].end 4363.02846875
transcript.pyannote[435].speaker SPEAKER_16
transcript.pyannote[435].start 4363.85534375
transcript.pyannote[435].end 4373.17034375
transcript.pyannote[436].speaker SPEAKER_19
transcript.pyannote[436].start 4364.86784375
transcript.pyannote[436].end 4368.19221875
transcript.pyannote[437].speaker SPEAKER_16
transcript.pyannote[437].start 4373.99721875
transcript.pyannote[437].end 4375.02659375
transcript.pyannote[438].speaker SPEAKER_19
transcript.pyannote[438].start 4374.04784375
transcript.pyannote[438].end 4381.30409375
transcript.pyannote[439].speaker SPEAKER_16
transcript.pyannote[439].start 4377.72659375
transcript.pyannote[439].end 4378.58721875
transcript.pyannote[440].speaker SPEAKER_16
transcript.pyannote[440].start 4379.12721875
transcript.pyannote[440].end 4379.26221875
transcript.pyannote[441].speaker SPEAKER_15
transcript.pyannote[441].start 4379.26221875
transcript.pyannote[441].end 4379.93721875
transcript.pyannote[442].speaker SPEAKER_16
transcript.pyannote[442].start 4379.93721875
transcript.pyannote[442].end 4379.97096875
transcript.pyannote[443].speaker SPEAKER_15
transcript.pyannote[443].start 4379.97096875
transcript.pyannote[443].end 4380.00471875
transcript.pyannote[444].speaker SPEAKER_16
transcript.pyannote[444].start 4380.00471875
transcript.pyannote[444].end 4380.05534375
transcript.pyannote[445].speaker SPEAKER_19
transcript.pyannote[445].start 4382.09721875
transcript.pyannote[445].end 4386.67034375
transcript.pyannote[446].speaker SPEAKER_19
transcript.pyannote[446].start 4386.99096875
transcript.pyannote[446].end 4392.91409375
transcript.pyannote[447].speaker SPEAKER_19
transcript.pyannote[447].start 4393.48784375
transcript.pyannote[447].end 4402.63409375
transcript.pyannote[448].speaker SPEAKER_19
transcript.pyannote[448].start 4403.37659375
transcript.pyannote[448].end 4410.37971875
transcript.pyannote[449].speaker SPEAKER_17
transcript.pyannote[449].start 4409.48534375
transcript.pyannote[449].end 4409.51909375
transcript.pyannote[450].speaker SPEAKER_16
transcript.pyannote[450].start 4409.51909375
transcript.pyannote[450].end 4410.56534375
transcript.pyannote[451].speaker SPEAKER_16
transcript.pyannote[451].start 4410.81846875
transcript.pyannote[451].end 4412.08409375
transcript.pyannote[452].speaker SPEAKER_16
transcript.pyannote[452].start 4412.55659375
transcript.pyannote[452].end 4416.80909375
transcript.pyannote[453].speaker SPEAKER_16
transcript.pyannote[453].start 4416.92721875
transcript.pyannote[453].end 4423.64346875
transcript.pyannote[454].speaker SPEAKER_14
transcript.pyannote[454].start 4419.77909375
transcript.pyannote[454].end 4420.03221875
transcript.pyannote[455].speaker SPEAKER_19
transcript.pyannote[455].start 4420.03221875
transcript.pyannote[455].end 4420.60596875
transcript.pyannote[456].speaker SPEAKER_14
transcript.pyannote[456].start 4420.60596875
transcript.pyannote[456].end 4420.65659375
transcript.pyannote[457].speaker SPEAKER_19
transcript.pyannote[457].start 4422.47909375
transcript.pyannote[457].end 4423.57596875
transcript.pyannote[458].speaker SPEAKER_16
transcript.pyannote[458].start 4424.16659375
transcript.pyannote[458].end 4425.39846875
transcript.pyannote[459].speaker SPEAKER_19
transcript.pyannote[459].start 4425.19596875
transcript.pyannote[459].end 4425.44909375
transcript.pyannote[460].speaker SPEAKER_16
transcript.pyannote[460].start 4425.44909375
transcript.pyannote[460].end 4425.55034375
transcript.pyannote[461].speaker SPEAKER_19
transcript.pyannote[461].start 4425.55034375
transcript.pyannote[461].end 4426.05659375
transcript.pyannote[462].speaker SPEAKER_16
transcript.pyannote[462].start 4426.05659375
transcript.pyannote[462].end 4426.56284375
transcript.pyannote[463].speaker SPEAKER_19
transcript.pyannote[463].start 4426.09034375
transcript.pyannote[463].end 4426.54596875
transcript.pyannote[464].speaker SPEAKER_19
transcript.pyannote[464].start 4426.56284375
transcript.pyannote[464].end 4426.96784375
transcript.pyannote[465].speaker SPEAKER_16
transcript.pyannote[465].start 4426.96784375
transcript.pyannote[465].end 4431.81096875
transcript.pyannote[466].speaker SPEAKER_19
transcript.pyannote[466].start 4427.13659375
transcript.pyannote[466].end 4429.16159375
transcript.pyannote[467].speaker SPEAKER_16
transcript.pyannote[467].start 4432.65471875
transcript.pyannote[467].end 4440.78846875
transcript.pyannote[468].speaker SPEAKER_19
transcript.pyannote[468].start 4432.78971875
transcript.pyannote[468].end 4432.99221875
transcript.pyannote[469].speaker SPEAKER_17
transcript.pyannote[469].start 4432.99221875
transcript.pyannote[469].end 4433.02596875
transcript.pyannote[470].speaker SPEAKER_19
transcript.pyannote[470].start 4433.02596875
transcript.pyannote[470].end 4433.07659375
transcript.pyannote[471].speaker SPEAKER_15
transcript.pyannote[471].start 4433.07659375
transcript.pyannote[471].end 4434.98346875
transcript.pyannote[472].speaker SPEAKER_19
transcript.pyannote[472].start 4434.98346875
transcript.pyannote[472].end 4435.62471875
transcript.pyannote[473].speaker SPEAKER_19
transcript.pyannote[473].start 4436.41784375
transcript.pyannote[473].end 4438.22346875
transcript.pyannote[474].speaker SPEAKER_19
transcript.pyannote[474].start 4439.62409375
transcript.pyannote[474].end 4445.15909375
transcript.pyannote[475].speaker SPEAKER_19
transcript.pyannote[475].start 4445.71596875
transcript.pyannote[475].end 4447.52159375
transcript.pyannote[476].speaker SPEAKER_16
transcript.pyannote[476].start 4448.04471875
transcript.pyannote[476].end 4448.24721875
transcript.pyannote[477].speaker SPEAKER_19
transcript.pyannote[477].start 4448.24721875
transcript.pyannote[477].end 4448.28096875
transcript.pyannote[478].speaker SPEAKER_16
transcript.pyannote[478].start 4448.28096875
transcript.pyannote[478].end 4449.93471875
transcript.pyannote[479].speaker SPEAKER_16
transcript.pyannote[479].start 4450.40721875
transcript.pyannote[479].end 4459.97534375
transcript.pyannote[480].speaker SPEAKER_16
transcript.pyannote[480].start 4460.24534375
transcript.pyannote[480].end 4463.68784375
transcript.pyannote[481].speaker SPEAKER_16
transcript.pyannote[481].start 4464.61596875
transcript.pyannote[481].end 4469.59409375
transcript.pyannote[482].speaker SPEAKER_16
transcript.pyannote[482].start 4470.28596875
transcript.pyannote[482].end 4473.12096875
transcript.pyannote[483].speaker SPEAKER_19
transcript.pyannote[483].start 4472.59784375
transcript.pyannote[483].end 4474.85909375
transcript.pyannote[484].speaker SPEAKER_16
transcript.pyannote[484].start 4473.79596875
transcript.pyannote[484].end 4480.78221875
transcript.pyannote[485].speaker SPEAKER_19
transcript.pyannote[485].start 4475.98971875
transcript.pyannote[485].end 4478.41971875
transcript.pyannote[486].speaker SPEAKER_19
transcript.pyannote[486].start 4479.22971875
transcript.pyannote[486].end 4482.79034375
transcript.pyannote[487].speaker SPEAKER_16
transcript.pyannote[487].start 4482.36846875
transcript.pyannote[487].end 4490.24909375
transcript.pyannote[488].speaker SPEAKER_16
transcript.pyannote[488].start 4490.82284375
transcript.pyannote[488].end 4496.20596875
transcript.pyannote[489].speaker SPEAKER_16
transcript.pyannote[489].start 4496.40846875
transcript.pyannote[489].end 4498.01159375
transcript.pyannote[490].speaker SPEAKER_19
transcript.pyannote[490].start 4498.01159375
transcript.pyannote[490].end 4498.02846875
transcript.pyannote[491].speaker SPEAKER_19
transcript.pyannote[491].start 4498.48409375
transcript.pyannote[491].end 4505.38596875
transcript.pyannote[492].speaker SPEAKER_16
transcript.pyannote[492].start 4500.62721875
transcript.pyannote[492].end 4503.96846875
transcript.pyannote[493].speaker SPEAKER_10
transcript.pyannote[493].start 4503.96846875
transcript.pyannote[493].end 4504.27221875
transcript.pyannote[494].speaker SPEAKER_19
transcript.pyannote[494].start 4505.94284375
transcript.pyannote[494].end 4516.50659375
transcript.pyannote[495].speaker SPEAKER_17
transcript.pyannote[495].start 4511.66346875
transcript.pyannote[495].end 4511.74784375
transcript.pyannote[496].speaker SPEAKER_16
transcript.pyannote[496].start 4511.74784375
transcript.pyannote[496].end 4511.76471875
transcript.pyannote[497].speaker SPEAKER_17
transcript.pyannote[497].start 4511.76471875
transcript.pyannote[497].end 4511.88284375
transcript.pyannote[498].speaker SPEAKER_16
transcript.pyannote[498].start 4511.88284375
transcript.pyannote[498].end 4512.25409375
transcript.pyannote[499].speaker SPEAKER_16
transcript.pyannote[499].start 4515.20721875
transcript.pyannote[499].end 4515.76409375
transcript.pyannote[500].speaker SPEAKER_16
transcript.pyannote[500].start 4516.50659375
transcript.pyannote[500].end 4516.64159375
transcript.pyannote[501].speaker SPEAKER_19
transcript.pyannote[501].start 4516.64159375
transcript.pyannote[501].end 4516.81034375
transcript.pyannote[502].speaker SPEAKER_16
transcript.pyannote[502].start 4516.81034375
transcript.pyannote[502].end 4517.56971875
transcript.pyannote[503].speaker SPEAKER_19
transcript.pyannote[503].start 4516.86096875
transcript.pyannote[503].end 4517.46846875
transcript.pyannote[504].speaker SPEAKER_16
transcript.pyannote[504].start 4517.92409375
transcript.pyannote[504].end 4522.02471875
transcript.pyannote[505].speaker SPEAKER_16
transcript.pyannote[505].start 4523.03721875
transcript.pyannote[505].end 4527.01971875
transcript.pyannote[506].speaker SPEAKER_16
transcript.pyannote[506].start 4527.35721875
transcript.pyannote[506].end 4530.00659375
transcript.pyannote[507].speaker SPEAKER_16
transcript.pyannote[507].start 4531.01909375
transcript.pyannote[507].end 4533.16221875
transcript.pyannote[508].speaker SPEAKER_16
transcript.pyannote[508].start 4533.63471875
transcript.pyannote[508].end 4534.32659375
transcript.pyannote[509].speaker SPEAKER_16
transcript.pyannote[509].start 4535.06909375
transcript.pyannote[509].end 4542.29159375
transcript.pyannote[510].speaker SPEAKER_16
transcript.pyannote[510].start 4543.81034375
transcript.pyannote[510].end 4547.40471875
transcript.pyannote[511].speaker SPEAKER_16
transcript.pyannote[511].start 4547.96159375
transcript.pyannote[511].end 4554.45846875
transcript.pyannote[512].speaker SPEAKER_17
transcript.pyannote[512].start 4553.41221875
transcript.pyannote[512].end 4553.86784375
transcript.pyannote[513].speaker SPEAKER_16
transcript.pyannote[513].start 4554.52596875
transcript.pyannote[513].end 4555.16721875
transcript.pyannote[514].speaker SPEAKER_19
transcript.pyannote[514].start 4554.88034375
transcript.pyannote[514].end 4557.24284375
transcript.pyannote[515].speaker SPEAKER_16
transcript.pyannote[515].start 4556.38221875
transcript.pyannote[515].end 4567.38471875
transcript.pyannote[516].speaker SPEAKER_16
transcript.pyannote[516].start 4567.68846875
transcript.pyannote[516].end 4569.07221875
transcript.pyannote[517].speaker SPEAKER_16
transcript.pyannote[517].start 4569.24096875
transcript.pyannote[517].end 4569.67971875
transcript.pyannote[518].speaker SPEAKER_16
transcript.pyannote[518].start 4570.13534375
transcript.pyannote[518].end 4573.42596875
transcript.pyannote[519].speaker SPEAKER_14
transcript.pyannote[519].start 4572.61596875
transcript.pyannote[519].end 4573.25721875
transcript.pyannote[520].speaker SPEAKER_16
transcript.pyannote[520].start 4573.93221875
transcript.pyannote[520].end 4574.94471875
transcript.pyannote[521].speaker SPEAKER_16
transcript.pyannote[521].start 4575.14721875
transcript.pyannote[521].end 4576.56471875
transcript.pyannote[522].speaker SPEAKER_16
transcript.pyannote[522].start 4577.47596875
transcript.pyannote[522].end 4578.16784375
transcript.pyannote[523].speaker SPEAKER_16
transcript.pyannote[523].start 4578.87659375
transcript.pyannote[523].end 4582.48784375
transcript.pyannote[524].speaker SPEAKER_19
transcript.pyannote[524].start 4581.30659375
transcript.pyannote[524].end 4586.45346875
transcript.pyannote[525].speaker SPEAKER_16
transcript.pyannote[525].start 4585.39034375
transcript.pyannote[525].end 4601.70846875
transcript.pyannote[526].speaker SPEAKER_19
transcript.pyannote[526].start 4601.91096875
transcript.pyannote[526].end 4601.96159375
transcript.pyannote[527].speaker SPEAKER_16
transcript.pyannote[527].start 4601.96159375
transcript.pyannote[527].end 4602.78846875
transcript.pyannote[528].speaker SPEAKER_19
transcript.pyannote[528].start 4601.99534375
transcript.pyannote[528].end 4604.56034375
transcript.pyannote[529].speaker SPEAKER_16
transcript.pyannote[529].start 4603.27784375
transcript.pyannote[529].end 4604.52659375
transcript.pyannote[530].speaker SPEAKER_16
transcript.pyannote[530].start 4604.56034375
transcript.pyannote[530].end 4604.67846875
transcript.pyannote[531].speaker SPEAKER_19
transcript.pyannote[531].start 4604.67846875
transcript.pyannote[531].end 4604.76284375
transcript.pyannote[532].speaker SPEAKER_16
transcript.pyannote[532].start 4604.76284375
transcript.pyannote[532].end 4604.77971875
transcript.pyannote[533].speaker SPEAKER_19
transcript.pyannote[533].start 4604.77971875
transcript.pyannote[533].end 4604.84721875
transcript.pyannote[534].speaker SPEAKER_16
transcript.pyannote[534].start 4604.84721875
transcript.pyannote[534].end 4606.31534375
transcript.pyannote[535].speaker SPEAKER_19
transcript.pyannote[535].start 4604.94846875
transcript.pyannote[535].end 4606.29846875
transcript.pyannote[536].speaker SPEAKER_19
transcript.pyannote[536].start 4606.31534375
transcript.pyannote[536].end 4609.97721875
transcript.pyannote[537].speaker SPEAKER_16
transcript.pyannote[537].start 4606.61909375
transcript.pyannote[537].end 4607.00721875
transcript.pyannote[538].speaker SPEAKER_16
transcript.pyannote[538].start 4610.06159375
transcript.pyannote[538].end 4614.07784375
transcript.pyannote[539].speaker SPEAKER_16
transcript.pyannote[539].start 4614.43221875
transcript.pyannote[539].end 4620.25409375
transcript.pyannote[540].speaker SPEAKER_16
transcript.pyannote[540].start 4620.87846875
transcript.pyannote[540].end 4622.58284375
transcript.pyannote[541].speaker SPEAKER_16
transcript.pyannote[541].start 4622.70096875
transcript.pyannote[541].end 4624.30409375
transcript.pyannote[542].speaker SPEAKER_16
transcript.pyannote[542].start 4625.41784375
transcript.pyannote[542].end 4647.05159375
transcript.pyannote[543].speaker SPEAKER_16
transcript.pyannote[543].start 4647.60846875
transcript.pyannote[543].end 4652.18159375
transcript.pyannote[544].speaker SPEAKER_19
transcript.pyannote[544].start 4648.84034375
transcript.pyannote[544].end 4667.21721875
transcript.pyannote[545].speaker SPEAKER_16
transcript.pyannote[545].start 4652.83971875
transcript.pyannote[545].end 4654.15596875
transcript.pyannote[546].speaker SPEAKER_00
transcript.pyannote[546].start 4654.15596875
transcript.pyannote[546].end 4654.24034375
transcript.pyannote[547].speaker SPEAKER_16
transcript.pyannote[547].start 4662.39096875
transcript.pyannote[547].end 4664.51721875
transcript.pyannote[548].speaker SPEAKER_16
transcript.pyannote[548].start 4665.90096875
transcript.pyannote[548].end 4681.44284375
transcript.pyannote[549].speaker SPEAKER_19
transcript.pyannote[549].start 4670.28846875
transcript.pyannote[549].end 4670.96346875
transcript.pyannote[550].speaker SPEAKER_19
transcript.pyannote[550].start 4672.34721875
transcript.pyannote[550].end 4673.69721875
transcript.pyannote[551].speaker SPEAKER_19
transcript.pyannote[551].start 4674.18659375
transcript.pyannote[551].end 4675.89096875
transcript.pyannote[552].speaker SPEAKER_16
transcript.pyannote[552].start 4681.69596875
transcript.pyannote[552].end 4682.48909375
transcript.pyannote[553].speaker SPEAKER_16
transcript.pyannote[553].start 4682.69159375
transcript.pyannote[553].end 4686.94409375
transcript.pyannote[554].speaker SPEAKER_16
transcript.pyannote[554].start 4687.21409375
transcript.pyannote[554].end 4692.52971875
transcript.pyannote[555].speaker SPEAKER_16
transcript.pyannote[555].start 4693.08659375
transcript.pyannote[555].end 4699.56659375
transcript.pyannote[556].speaker SPEAKER_19
transcript.pyannote[556].start 4699.56659375
transcript.pyannote[556].end 4702.60409375
transcript.pyannote[557].speaker SPEAKER_16
transcript.pyannote[557].start 4699.88721875
transcript.pyannote[557].end 4700.86596875
transcript.pyannote[558].speaker SPEAKER_16
transcript.pyannote[558].start 4702.60409375
transcript.pyannote[558].end 4702.62096875
transcript.pyannote[559].speaker SPEAKER_19
transcript.pyannote[559].start 4702.62096875
transcript.pyannote[559].end 4702.65471875
transcript.pyannote[560].speaker SPEAKER_00
transcript.pyannote[560].start 4702.65471875
transcript.pyannote[560].end 4702.68846875
transcript.pyannote[561].speaker SPEAKER_16
transcript.pyannote[561].start 4702.68846875
transcript.pyannote[561].end 4703.02596875
transcript.pyannote[562].speaker SPEAKER_17
transcript.pyannote[562].start 4703.02596875
transcript.pyannote[562].end 4704.34221875
transcript.pyannote[563].speaker SPEAKER_16
transcript.pyannote[563].start 4703.07659375
transcript.pyannote[563].end 4704.42659375
transcript.pyannote[564].speaker SPEAKER_00
transcript.pyannote[564].start 4704.42659375
transcript.pyannote[564].end 4704.44346875
transcript.pyannote[565].speaker SPEAKER_17
transcript.pyannote[565].start 4704.44346875
transcript.pyannote[565].end 4704.46034375
transcript.pyannote[566].speaker SPEAKER_11
transcript.pyannote[566].start 4709.67471875
transcript.pyannote[566].end 4711.93596875
transcript.pyannote[567].speaker SPEAKER_11
transcript.pyannote[567].start 4713.20159375
transcript.pyannote[567].end 4716.89721875
transcript.pyannote[568].speaker SPEAKER_17
transcript.pyannote[568].start 4739.98221875
transcript.pyannote[568].end 4740.65721875
transcript.pyannote[569].speaker SPEAKER_17
transcript.pyannote[569].start 4742.02409375
transcript.pyannote[569].end 4742.49659375
transcript.pyannote[570].speaker SPEAKER_16
transcript.pyannote[570].start 4755.35534375
transcript.pyannote[570].end 4755.96284375
transcript.pyannote[571].speaker SPEAKER_11
transcript.pyannote[571].start 4755.96284375
transcript.pyannote[571].end 4756.68846875
transcript.pyannote[572].speaker SPEAKER_11
transcript.pyannote[572].start 4757.14409375
transcript.pyannote[572].end 4757.73471875
transcript.pyannote[573].speaker SPEAKER_11
transcript.pyannote[573].start 4758.07221875
transcript.pyannote[573].end 4758.79784375
transcript.pyannote[574].speaker SPEAKER_11
transcript.pyannote[574].start 4759.20284375
transcript.pyannote[574].end 4759.62471875
transcript.pyannote[575].speaker SPEAKER_11
transcript.pyannote[575].start 4766.99909375
transcript.pyannote[575].end 4767.01596875
transcript.pyannote[576].speaker SPEAKER_16
transcript.pyannote[576].start 4767.01596875
transcript.pyannote[576].end 4768.02846875
transcript.pyannote[577].speaker SPEAKER_17
transcript.pyannote[577].start 4767.42096875
transcript.pyannote[577].end 4767.58971875
transcript.pyannote[578].speaker SPEAKER_16
transcript.pyannote[578].start 4768.53471875
transcript.pyannote[578].end 4775.43659375
transcript.pyannote[579].speaker SPEAKER_16
transcript.pyannote[579].start 4775.50409375
transcript.pyannote[579].end 4777.61346875
transcript.pyannote[580].speaker SPEAKER_16
transcript.pyannote[580].start 4777.95096875
transcript.pyannote[580].end 4785.19034375
transcript.pyannote[581].speaker SPEAKER_16
transcript.pyannote[581].start 4785.52784375
transcript.pyannote[581].end 4786.13534375
transcript.pyannote[582].speaker SPEAKER_16
transcript.pyannote[582].start 4786.40534375
transcript.pyannote[582].end 4797.71159375
transcript.pyannote[583].speaker SPEAKER_16
transcript.pyannote[583].start 4797.94784375
transcript.pyannote[583].end 4800.58034375
transcript.pyannote[584].speaker SPEAKER_16
transcript.pyannote[584].start 4800.69846875
transcript.pyannote[584].end 4802.72346875
transcript.pyannote[585].speaker SPEAKER_16
transcript.pyannote[585].start 4803.24659375
transcript.pyannote[585].end 4810.23284375
transcript.pyannote[586].speaker SPEAKER_16
transcript.pyannote[586].start 4810.62096875
transcript.pyannote[586].end 4823.09159375
transcript.pyannote[587].speaker SPEAKER_16
transcript.pyannote[587].start 4823.41221875
transcript.pyannote[587].end 4830.82034375
transcript.pyannote[588].speaker SPEAKER_16
transcript.pyannote[588].start 4831.12409375
transcript.pyannote[588].end 4833.87471875
transcript.pyannote[589].speaker SPEAKER_16
transcript.pyannote[589].start 4834.39784375
transcript.pyannote[589].end 4841.50221875
transcript.pyannote[590].speaker SPEAKER_16
transcript.pyannote[590].start 4841.97471875
transcript.pyannote[590].end 4850.68221875
transcript.pyannote[591].speaker SPEAKER_16
transcript.pyannote[591].start 4851.54284375
transcript.pyannote[591].end 4855.12034375
transcript.pyannote[592].speaker SPEAKER_16
transcript.pyannote[592].start 4855.39034375
transcript.pyannote[592].end 4877.15909375
transcript.pyannote[593].speaker SPEAKER_16
transcript.pyannote[593].start 4877.58096875
transcript.pyannote[593].end 4890.52409375
transcript.pyannote[594].speaker SPEAKER_16
transcript.pyannote[594].start 4890.91221875
transcript.pyannote[594].end 4893.35909375
transcript.pyannote[595].speaker SPEAKER_19
transcript.pyannote[595].start 4894.81034375
transcript.pyannote[595].end 4897.12221875
transcript.pyannote[596].speaker SPEAKER_16
transcript.pyannote[596].start 4896.21096875
transcript.pyannote[596].end 4897.02096875
transcript.pyannote[597].speaker SPEAKER_19
transcript.pyannote[597].start 4897.27409375
transcript.pyannote[597].end 4901.52659375
transcript.pyannote[598].speaker SPEAKER_19
transcript.pyannote[598].start 4901.71221875
transcript.pyannote[598].end 4907.09534375
transcript.pyannote[599].speaker SPEAKER_16
transcript.pyannote[599].start 4905.32346875
transcript.pyannote[599].end 4906.03221875
transcript.pyannote[600].speaker SPEAKER_16
transcript.pyannote[600].start 4907.28096875
transcript.pyannote[600].end 4921.99596875
transcript.pyannote[601].speaker SPEAKER_19
transcript.pyannote[601].start 4915.83659375
transcript.pyannote[601].end 4915.97159375
transcript.pyannote[602].speaker SPEAKER_17
transcript.pyannote[602].start 4915.97159375
transcript.pyannote[602].end 4916.07284375
transcript.pyannote[603].speaker SPEAKER_19
transcript.pyannote[603].start 4916.07284375
transcript.pyannote[603].end 4916.29221875
transcript.pyannote[604].speaker SPEAKER_17
transcript.pyannote[604].start 4916.84909375
transcript.pyannote[604].end 4916.96721875
transcript.pyannote[605].speaker SPEAKER_16
transcript.pyannote[605].start 4922.13096875
transcript.pyannote[605].end 4926.50159375
transcript.pyannote[606].speaker SPEAKER_16
transcript.pyannote[606].start 4927.12596875
transcript.pyannote[606].end 4932.76221875
transcript.pyannote[607].speaker SPEAKER_16
transcript.pyannote[607].start 4932.99846875
transcript.pyannote[607].end 4956.33659375
transcript.pyannote[608].speaker SPEAKER_15
transcript.pyannote[608].start 4946.83596875
transcript.pyannote[608].end 4946.90346875
transcript.pyannote[609].speaker SPEAKER_19
transcript.pyannote[609].start 4946.90346875
transcript.pyannote[609].end 4947.46034375
transcript.pyannote[610].speaker SPEAKER_15
transcript.pyannote[610].start 4947.46034375
transcript.pyannote[610].end 4947.49409375
transcript.pyannote[611].speaker SPEAKER_15
transcript.pyannote[611].start 4947.88221875
transcript.pyannote[611].end 4947.91596875
transcript.pyannote[612].speaker SPEAKER_16
transcript.pyannote[612].start 4956.70784375
transcript.pyannote[612].end 4980.58596875
transcript.pyannote[613].speaker SPEAKER_16
transcript.pyannote[613].start 4980.87284375
transcript.pyannote[613].end 4983.72471875
transcript.pyannote[614].speaker SPEAKER_02
transcript.pyannote[614].start 4983.16784375
transcript.pyannote[614].end 4985.26034375
transcript.pyannote[615].speaker SPEAKER_16
transcript.pyannote[615].start 4984.82159375
transcript.pyannote[615].end 5012.47971875
transcript.pyannote[616].speaker SPEAKER_02
transcript.pyannote[616].start 4989.83346875
transcript.pyannote[616].end 4991.01471875
transcript.pyannote[617].speaker SPEAKER_15
transcript.pyannote[617].start 5004.48096875
transcript.pyannote[617].end 5006.16846875
transcript.pyannote[618].speaker SPEAKER_02
transcript.pyannote[618].start 5013.05346875
transcript.pyannote[618].end 5033.13471875
transcript.pyannote[619].speaker SPEAKER_16
transcript.pyannote[619].start 5032.30784375
transcript.pyannote[619].end 5041.70721875
transcript.pyannote[620].speaker SPEAKER_02
transcript.pyannote[620].start 5036.62784375
transcript.pyannote[620].end 5040.12096875
transcript.pyannote[621].speaker SPEAKER_16
transcript.pyannote[621].start 5042.11221875
transcript.pyannote[621].end 5042.85471875
transcript.pyannote[622].speaker SPEAKER_16
transcript.pyannote[622].start 5043.34409375
transcript.pyannote[622].end 5046.28034375
transcript.pyannote[623].speaker SPEAKER_02
transcript.pyannote[623].start 5043.91784375
transcript.pyannote[623].end 5050.97159375
transcript.pyannote[624].speaker SPEAKER_16
transcript.pyannote[624].start 5049.48659375
transcript.pyannote[624].end 5050.48221875
transcript.pyannote[625].speaker SPEAKER_16
transcript.pyannote[625].start 5051.52846875
transcript.pyannote[625].end 5055.39284375
transcript.pyannote[626].speaker SPEAKER_02
transcript.pyannote[626].start 5054.34659375
transcript.pyannote[626].end 5059.34159375
transcript.pyannote[627].speaker SPEAKER_16
transcript.pyannote[627].start 5058.58221875
transcript.pyannote[627].end 5064.82596875
transcript.pyannote[628].speaker SPEAKER_16
transcript.pyannote[628].start 5064.96096875
transcript.pyannote[628].end 5068.15034375
transcript.pyannote[629].speaker SPEAKER_02
transcript.pyannote[629].start 5067.42471875
transcript.pyannote[629].end 5071.30596875
transcript.pyannote[630].speaker SPEAKER_16
transcript.pyannote[630].start 5069.92221875
transcript.pyannote[630].end 5071.47471875
transcript.pyannote[631].speaker SPEAKER_16
transcript.pyannote[631].start 5071.54221875
transcript.pyannote[631].end 5076.36846875
transcript.pyannote[632].speaker SPEAKER_19
transcript.pyannote[632].start 5075.17034375
transcript.pyannote[632].end 5075.92971875
transcript.pyannote[633].speaker SPEAKER_02
transcript.pyannote[633].start 5075.92971875
transcript.pyannote[633].end 5075.96346875
transcript.pyannote[634].speaker SPEAKER_19
transcript.pyannote[634].start 5075.96346875
transcript.pyannote[634].end 5075.98034375
transcript.pyannote[635].speaker SPEAKER_02
transcript.pyannote[635].start 5075.98034375
transcript.pyannote[635].end 5075.99721875
transcript.pyannote[636].speaker SPEAKER_19
transcript.pyannote[636].start 5075.99721875
transcript.pyannote[636].end 5077.53284375
transcript.pyannote[637].speaker SPEAKER_02
transcript.pyannote[637].start 5076.36846875
transcript.pyannote[637].end 5076.58784375
transcript.pyannote[638].speaker SPEAKER_16
transcript.pyannote[638].start 5076.58784375
transcript.pyannote[638].end 5076.62159375
transcript.pyannote[639].speaker SPEAKER_02
transcript.pyannote[639].start 5076.62159375
transcript.pyannote[639].end 5076.63846875
transcript.pyannote[640].speaker SPEAKER_16
transcript.pyannote[640].start 5076.63846875
transcript.pyannote[640].end 5076.72284375
transcript.pyannote[641].speaker SPEAKER_02
transcript.pyannote[641].start 5076.72284375
transcript.pyannote[641].end 5076.75659375
transcript.pyannote[642].speaker SPEAKER_16
transcript.pyannote[642].start 5076.75659375
transcript.pyannote[642].end 5077.48221875
transcript.pyannote[643].speaker SPEAKER_16
transcript.pyannote[643].start 5077.53284375
transcript.pyannote[643].end 5077.66784375
transcript.pyannote[644].speaker SPEAKER_02
transcript.pyannote[644].start 5077.66784375
transcript.pyannote[644].end 5077.73534375
transcript.pyannote[645].speaker SPEAKER_16
transcript.pyannote[645].start 5077.73534375
transcript.pyannote[645].end 5077.80284375
transcript.pyannote[646].speaker SPEAKER_19
transcript.pyannote[646].start 5077.80284375
transcript.pyannote[646].end 5077.83659375
transcript.pyannote[647].speaker SPEAKER_19
transcript.pyannote[647].start 5078.07284375
transcript.pyannote[647].end 5082.79784375
transcript.pyannote[648].speaker SPEAKER_16
transcript.pyannote[648].start 5080.89096875
transcript.pyannote[648].end 5094.64409375
transcript.pyannote[649].speaker SPEAKER_19
transcript.pyannote[649].start 5083.05096875
transcript.pyannote[649].end 5083.48971875
transcript.pyannote[650].speaker SPEAKER_15
transcript.pyannote[650].start 5088.18096875
transcript.pyannote[650].end 5091.38721875
transcript.pyannote[651].speaker SPEAKER_15
transcript.pyannote[651].start 5094.64409375
transcript.pyannote[651].end 5103.46971875
transcript.pyannote[652].speaker SPEAKER_16
transcript.pyannote[652].start 5094.66096875
transcript.pyannote[652].end 5097.17534375
transcript.pyannote[653].speaker SPEAKER_01
transcript.pyannote[653].start 5101.52909375
transcript.pyannote[653].end 5105.25846875
transcript.pyannote[654].speaker SPEAKER_15
transcript.pyannote[654].start 5104.34721875
transcript.pyannote[654].end 5107.75596875
transcript.pyannote[655].speaker SPEAKER_15
transcript.pyannote[655].start 5108.11034375
transcript.pyannote[655].end 5114.45534375
transcript.pyannote[656].speaker SPEAKER_19
transcript.pyannote[656].start 5113.94909375
transcript.pyannote[656].end 5114.33721875
transcript.pyannote[657].speaker SPEAKER_19
transcript.pyannote[657].start 5114.45534375
transcript.pyannote[657].end 5114.50596875
transcript.pyannote[658].speaker SPEAKER_15
transcript.pyannote[658].start 5114.57346875
transcript.pyannote[658].end 5114.59034375
transcript.pyannote[659].speaker SPEAKER_19
transcript.pyannote[659].start 5114.59034375
transcript.pyannote[659].end 5114.99534375
transcript.pyannote[660].speaker SPEAKER_19
transcript.pyannote[660].start 5115.41721875
transcript.pyannote[660].end 5120.07471875
transcript.pyannote[661].speaker SPEAKER_15
transcript.pyannote[661].start 5115.99096875
transcript.pyannote[661].end 5118.26909375
transcript.pyannote[662].speaker SPEAKER_15
transcript.pyannote[662].start 5119.51784375
transcript.pyannote[662].end 5130.03096875
transcript.pyannote[663].speaker SPEAKER_19
transcript.pyannote[663].start 5121.99846875
transcript.pyannote[663].end 5123.65221875
transcript.pyannote[664].speaker SPEAKER_16
transcript.pyannote[664].start 5130.03096875
transcript.pyannote[664].end 5133.57471875
transcript.pyannote[665].speaker SPEAKER_16
transcript.pyannote[665].start 5134.70534375
transcript.pyannote[665].end 5135.56596875
transcript.pyannote[666].speaker SPEAKER_01
transcript.pyannote[666].start 5136.74721875
transcript.pyannote[666].end 5137.40534375
transcript.pyannote[667].speaker SPEAKER_16
transcript.pyannote[667].start 5137.64159375
transcript.pyannote[667].end 5138.50221875
transcript.pyannote[668].speaker SPEAKER_16
transcript.pyannote[668].start 5138.94096875
transcript.pyannote[668].end 5142.90659375
transcript.pyannote[669].speaker SPEAKER_16
transcript.pyannote[669].start 5143.58159375
transcript.pyannote[669].end 5144.15534375
transcript.pyannote[670].speaker SPEAKER_16
transcript.pyannote[670].start 5144.56034375
transcript.pyannote[670].end 5147.73284375
transcript.pyannote[671].speaker SPEAKER_19
transcript.pyannote[671].start 5149.62284375
transcript.pyannote[671].end 5155.63034375
transcript.pyannote[672].speaker SPEAKER_16
transcript.pyannote[672].start 5155.63034375
transcript.pyannote[672].end 5161.65471875
transcript.pyannote[673].speaker SPEAKER_19
transcript.pyannote[673].start 5155.73159375
transcript.pyannote[673].end 5156.49096875
transcript.pyannote[674].speaker SPEAKER_19
transcript.pyannote[674].start 5162.53221875
transcript.pyannote[674].end 5163.05534375
transcript.pyannote[675].speaker SPEAKER_19
transcript.pyannote[675].start 5163.15659375
transcript.pyannote[675].end 5163.19034375
transcript.pyannote[676].speaker SPEAKER_16
transcript.pyannote[676].start 5163.19034375
transcript.pyannote[676].end 5167.74659375
transcript.pyannote[677].speaker SPEAKER_19
transcript.pyannote[677].start 5163.81471875
transcript.pyannote[677].end 5164.82721875
transcript.pyannote[678].speaker SPEAKER_19
transcript.pyannote[678].start 5168.42159375
transcript.pyannote[678].end 5169.87284375
transcript.pyannote[679].speaker SPEAKER_16
transcript.pyannote[679].start 5168.67471875
transcript.pyannote[679].end 5172.31971875
transcript.pyannote[680].speaker SPEAKER_19
transcript.pyannote[680].start 5170.44659375
transcript.pyannote[680].end 5176.65659375
transcript.pyannote[681].speaker SPEAKER_19
transcript.pyannote[681].start 5177.01096875
transcript.pyannote[681].end 5178.46221875
transcript.pyannote[682].speaker SPEAKER_19
transcript.pyannote[682].start 5178.66471875
transcript.pyannote[682].end 5185.68471875
transcript.pyannote[683].speaker SPEAKER_16
transcript.pyannote[683].start 5185.68471875
transcript.pyannote[683].end 5188.08096875
transcript.pyannote[684].speaker SPEAKER_19
transcript.pyannote[684].start 5188.08096875
transcript.pyannote[684].end 5188.38471875
transcript.pyannote[685].speaker SPEAKER_19
transcript.pyannote[685].start 5188.70534375
transcript.pyannote[685].end 5190.46034375
transcript.pyannote[686].speaker SPEAKER_19
transcript.pyannote[686].start 5191.33784375
transcript.pyannote[686].end 5192.89034375
transcript.pyannote[687].speaker SPEAKER_19
transcript.pyannote[687].start 5193.17721875
transcript.pyannote[687].end 5193.81846875
transcript.pyannote[688].speaker SPEAKER_19
transcript.pyannote[688].start 5194.03784375
transcript.pyannote[688].end 5194.37534375
transcript.pyannote[689].speaker SPEAKER_19
transcript.pyannote[689].start 5194.56096875
transcript.pyannote[689].end 5203.90971875
transcript.pyannote[690].speaker SPEAKER_17
transcript.pyannote[690].start 5200.31534375
transcript.pyannote[690].end 5200.33221875
transcript.pyannote[691].speaker SPEAKER_16
transcript.pyannote[691].start 5200.33221875
transcript.pyannote[691].end 5201.00721875
transcript.pyannote[692].speaker SPEAKER_16
transcript.pyannote[692].start 5202.61034375
transcript.pyannote[692].end 5204.23034375
transcript.pyannote[693].speaker SPEAKER_16
transcript.pyannote[693].start 5204.48346875
transcript.pyannote[693].end 5209.10721875
transcript.pyannote[694].speaker SPEAKER_19
transcript.pyannote[694].start 5209.10721875
transcript.pyannote[694].end 5209.30971875
transcript.pyannote[695].speaker SPEAKER_16
transcript.pyannote[695].start 5209.30971875
transcript.pyannote[695].end 5214.65909375
transcript.pyannote[696].speaker SPEAKER_19
transcript.pyannote[696].start 5212.41471875
transcript.pyannote[696].end 5212.66784375
transcript.pyannote[697].speaker SPEAKER_19
transcript.pyannote[697].start 5212.68471875
transcript.pyannote[697].end 5212.70159375
transcript.pyannote[698].speaker SPEAKER_19
transcript.pyannote[698].start 5213.47784375
transcript.pyannote[698].end 5217.22409375
transcript.pyannote[699].speaker SPEAKER_16
transcript.pyannote[699].start 5215.75596875
transcript.pyannote[699].end 5217.27471875
transcript.pyannote[700].speaker SPEAKER_19
transcript.pyannote[700].start 5217.27471875
transcript.pyannote[700].end 5217.73034375
transcript.pyannote[701].speaker SPEAKER_19
transcript.pyannote[701].start 5218.42221875
transcript.pyannote[701].end 5220.83534375
transcript.pyannote[702].speaker SPEAKER_16
transcript.pyannote[702].start 5220.43034375
transcript.pyannote[702].end 5220.76784375
transcript.pyannote[703].speaker SPEAKER_16
transcript.pyannote[703].start 5220.83534375
transcript.pyannote[703].end 5221.03784375
transcript.pyannote[704].speaker SPEAKER_19
transcript.pyannote[704].start 5221.03784375
transcript.pyannote[704].end 5222.47221875
transcript.pyannote[705].speaker SPEAKER_19
transcript.pyannote[705].start 5222.84346875
transcript.pyannote[705].end 5223.50159375
transcript.pyannote[706].speaker SPEAKER_19
transcript.pyannote[706].start 5225.02034375
transcript.pyannote[706].end 5226.43784375
transcript.pyannote[707].speaker SPEAKER_19
transcript.pyannote[707].start 5226.47159375
transcript.pyannote[707].end 5230.13346875
transcript.pyannote[708].speaker SPEAKER_19
transcript.pyannote[708].start 5230.80846875
transcript.pyannote[708].end 5238.97596875
transcript.pyannote[709].speaker SPEAKER_15
transcript.pyannote[709].start 5232.25971875
transcript.pyannote[709].end 5233.74471875
transcript.pyannote[710].speaker SPEAKER_15
transcript.pyannote[710].start 5234.35221875
transcript.pyannote[710].end 5235.63471875
transcript.pyannote[711].speaker SPEAKER_16
transcript.pyannote[711].start 5238.50346875
transcript.pyannote[711].end 5238.57096875
transcript.pyannote[712].speaker SPEAKER_16
transcript.pyannote[712].start 5238.97596875
transcript.pyannote[712].end 5247.63284375
transcript.pyannote[713].speaker SPEAKER_19
transcript.pyannote[713].start 5239.58346875
transcript.pyannote[713].end 5241.01784375
transcript.pyannote[714].speaker SPEAKER_16
transcript.pyannote[714].start 5247.85221875
transcript.pyannote[714].end 5248.94909375
transcript.pyannote[715].speaker SPEAKER_19
transcript.pyannote[715].start 5248.15596875
transcript.pyannote[715].end 5248.62846875
transcript.pyannote[716].speaker SPEAKER_19
transcript.pyannote[716].start 5249.21909375
transcript.pyannote[716].end 5257.11659375
transcript.pyannote[717].speaker SPEAKER_16
transcript.pyannote[717].start 5254.36596875
transcript.pyannote[717].end 5255.53034375
transcript.pyannote[718].speaker SPEAKER_19
transcript.pyannote[718].start 5257.26846875
transcript.pyannote[718].end 5259.96846875
transcript.pyannote[719].speaker SPEAKER_16
transcript.pyannote[719].start 5258.17971875
transcript.pyannote[719].end 5258.26409375
transcript.pyannote[720].speaker SPEAKER_16
transcript.pyannote[720].start 5258.29784375
transcript.pyannote[720].end 5258.80409375
transcript.pyannote[721].speaker SPEAKER_16
transcript.pyannote[721].start 5259.96846875
transcript.pyannote[721].end 5266.58346875
transcript.pyannote[722].speaker SPEAKER_16
transcript.pyannote[722].start 5266.80284375
transcript.pyannote[722].end 5284.67346875
transcript.pyannote[723].speaker SPEAKER_19
transcript.pyannote[723].start 5284.67346875
transcript.pyannote[723].end 5290.47846875
transcript.pyannote[724].speaker SPEAKER_16
transcript.pyannote[724].start 5290.73159375
transcript.pyannote[724].end 5291.30534375
transcript.pyannote[725].speaker SPEAKER_19
transcript.pyannote[725].start 5291.30534375
transcript.pyannote[725].end 5291.62596875
transcript.pyannote[726].speaker SPEAKER_16
transcript.pyannote[726].start 5291.62596875
transcript.pyannote[726].end 5293.02659375
transcript.pyannote[727].speaker SPEAKER_19
transcript.pyannote[727].start 5293.02659375
transcript.pyannote[727].end 5293.54971875
transcript.pyannote[728].speaker SPEAKER_16
transcript.pyannote[728].start 5293.54971875
transcript.pyannote[728].end 5293.56659375
transcript.pyannote[729].speaker SPEAKER_19
transcript.pyannote[729].start 5293.56659375
transcript.pyannote[729].end 5293.58346875
transcript.pyannote[730].speaker SPEAKER_19
transcript.pyannote[730].start 5293.98846875
transcript.pyannote[730].end 5298.03846875
transcript.pyannote[731].speaker SPEAKER_16
transcript.pyannote[731].start 5298.03846875
transcript.pyannote[731].end 5319.13221875
transcript.pyannote[732].speaker SPEAKER_19
transcript.pyannote[732].start 5317.90034375
transcript.pyannote[732].end 5336.02409375
transcript.pyannote[733].speaker SPEAKER_16
transcript.pyannote[733].start 5331.45096875
transcript.pyannote[733].end 5332.69971875
transcript.pyannote[734].speaker SPEAKER_16
transcript.pyannote[734].start 5336.02409375
transcript.pyannote[734].end 5345.30534375
transcript.pyannote[735].speaker SPEAKER_19
transcript.pyannote[735].start 5337.86346875
transcript.pyannote[735].end 5338.65659375
transcript.pyannote[736].speaker SPEAKER_19
transcript.pyannote[736].start 5341.01909375
transcript.pyannote[736].end 5343.01034375
transcript.pyannote[737].speaker SPEAKER_19
transcript.pyannote[737].start 5343.41534375
transcript.pyannote[737].end 5344.29284375
transcript.pyannote[738].speaker SPEAKER_19
transcript.pyannote[738].start 5345.52471875
transcript.pyannote[738].end 5345.55846875
transcript.pyannote[739].speaker SPEAKER_16
transcript.pyannote[739].start 5345.55846875
transcript.pyannote[739].end 5362.66971875
transcript.pyannote[740].speaker SPEAKER_19
transcript.pyannote[740].start 5346.48659375
transcript.pyannote[740].end 5346.90846875
transcript.pyannote[741].speaker SPEAKER_19
transcript.pyannote[741].start 5351.61659375
transcript.pyannote[741].end 5352.47721875
transcript.pyannote[742].speaker SPEAKER_19
transcript.pyannote[742].start 5352.96659375
transcript.pyannote[742].end 5354.63721875
transcript.pyannote[743].speaker SPEAKER_16
transcript.pyannote[743].start 5363.04096875
transcript.pyannote[743].end 5368.20471875
transcript.pyannote[744].speaker SPEAKER_19
transcript.pyannote[744].start 5364.69471875
transcript.pyannote[744].end 5366.19659375
transcript.pyannote[745].speaker SPEAKER_19
transcript.pyannote[745].start 5366.46659375
transcript.pyannote[745].end 5367.39471875
transcript.pyannote[746].speaker SPEAKER_16
transcript.pyannote[746].start 5368.62659375
transcript.pyannote[746].end 5373.48659375
transcript.pyannote[747].speaker SPEAKER_19
transcript.pyannote[747].start 5373.06471875
transcript.pyannote[747].end 5373.82409375
transcript.pyannote[748].speaker SPEAKER_16
transcript.pyannote[748].start 5373.80721875
transcript.pyannote[748].end 5376.86159375
transcript.pyannote[749].speaker SPEAKER_16
transcript.pyannote[749].start 5377.51971875
transcript.pyannote[749].end 5378.02596875
transcript.pyannote[750].speaker SPEAKER_19
transcript.pyannote[750].start 5378.02596875
transcript.pyannote[750].end 5391.25596875
transcript.pyannote[751].speaker SPEAKER_16
transcript.pyannote[751].start 5389.58534375
transcript.pyannote[751].end 5395.54221875
transcript.pyannote[752].speaker SPEAKER_16
transcript.pyannote[752].start 5396.23409375
transcript.pyannote[752].end 5399.62596875
transcript.pyannote[753].speaker SPEAKER_19
transcript.pyannote[753].start 5400.89159375
transcript.pyannote[753].end 5403.96284375
transcript.pyannote[754].speaker SPEAKER_16
transcript.pyannote[754].start 5403.25409375
transcript.pyannote[754].end 5403.27096875
transcript.pyannote[755].speaker SPEAKER_16
transcript.pyannote[755].start 5403.96284375
transcript.pyannote[755].end 5404.73909375
transcript.pyannote[756].speaker SPEAKER_16
transcript.pyannote[756].start 5405.02596875
transcript.pyannote[756].end 5405.66721875
transcript.pyannote[757].speaker SPEAKER_19
transcript.pyannote[757].start 5405.66721875
transcript.pyannote[757].end 5406.61221875
transcript.pyannote[758].speaker SPEAKER_16
transcript.pyannote[758].start 5405.68409375
transcript.pyannote[758].end 5409.51471875
transcript.pyannote[759].speaker SPEAKER_19
transcript.pyannote[759].start 5409.51471875
transcript.pyannote[759].end 5412.51846875
transcript.pyannote[760].speaker SPEAKER_16
transcript.pyannote[760].start 5410.25721875
transcript.pyannote[760].end 5414.74596875
transcript.pyannote[761].speaker SPEAKER_19
transcript.pyannote[761].start 5414.17221875
transcript.pyannote[761].end 5418.42471875
transcript.pyannote[762].speaker SPEAKER_16
transcript.pyannote[762].start 5415.37034375
transcript.pyannote[762].end 5415.42096875
transcript.pyannote[763].speaker SPEAKER_16
transcript.pyannote[763].start 5417.24346875
transcript.pyannote[763].end 5419.03221875
transcript.pyannote[764].speaker SPEAKER_19
transcript.pyannote[764].start 5419.03221875
transcript.pyannote[764].end 5419.89284375
transcript.pyannote[765].speaker SPEAKER_19
transcript.pyannote[765].start 5420.41596875
transcript.pyannote[765].end 5427.63846875
transcript.pyannote[766].speaker SPEAKER_16
transcript.pyannote[766].start 5424.17909375
transcript.pyannote[766].end 5425.02284375
transcript.pyannote[767].speaker SPEAKER_16
transcript.pyannote[767].start 5427.18284375
transcript.pyannote[767].end 5434.18596875
transcript.pyannote[768].speaker SPEAKER_16
transcript.pyannote[768].start 5435.02971875
transcript.pyannote[768].end 5438.96159375
transcript.pyannote[769].speaker SPEAKER_15
transcript.pyannote[769].start 5435.89034375
transcript.pyannote[769].end 5437.10534375
transcript.pyannote[770].speaker SPEAKER_15
transcript.pyannote[770].start 5437.35846875
transcript.pyannote[770].end 5438.03346875
transcript.pyannote[771].speaker SPEAKER_14
transcript.pyannote[771].start 5438.03346875
transcript.pyannote[771].end 5439.14721875
transcript.pyannote[772].speaker SPEAKER_16
transcript.pyannote[772].start 5439.14721875
transcript.pyannote[772].end 5451.49971875
transcript.pyannote[773].speaker SPEAKER_14
transcript.pyannote[773].start 5439.21471875
transcript.pyannote[773].end 5439.31596875
transcript.pyannote[774].speaker SPEAKER_15
transcript.pyannote[774].start 5439.31596875
transcript.pyannote[774].end 5439.41721875
transcript.pyannote[775].speaker SPEAKER_15
transcript.pyannote[775].start 5439.70409375
transcript.pyannote[775].end 5440.27784375
transcript.pyannote[776].speaker SPEAKER_16
transcript.pyannote[776].start 5452.29284375
transcript.pyannote[776].end 5456.19096875
transcript.pyannote[777].speaker SPEAKER_16
transcript.pyannote[777].start 5456.42721875
transcript.pyannote[777].end 5457.18659375
transcript.pyannote[778].speaker SPEAKER_19
transcript.pyannote[778].start 5458.01346875
transcript.pyannote[778].end 5459.36346875
transcript.pyannote[779].speaker SPEAKER_16
transcript.pyannote[779].start 5458.70534375
transcript.pyannote[779].end 5460.44346875
transcript.pyannote[780].speaker SPEAKER_19
transcript.pyannote[780].start 5461.18596875
transcript.pyannote[780].end 5462.56971875
transcript.pyannote[781].speaker SPEAKER_16
transcript.pyannote[781].start 5462.06346875
transcript.pyannote[781].end 5462.97471875
transcript.pyannote[782].speaker SPEAKER_19
transcript.pyannote[782].start 5462.97471875
transcript.pyannote[782].end 5463.17721875
transcript.pyannote[783].speaker SPEAKER_19
transcript.pyannote[783].start 5463.46409375
transcript.pyannote[783].end 5463.97034375
transcript.pyannote[784].speaker SPEAKER_19
transcript.pyannote[784].start 5464.49346875
transcript.pyannote[784].end 5468.22284375
transcript.pyannote[785].speaker SPEAKER_16
transcript.pyannote[785].start 5467.83471875
transcript.pyannote[785].end 5468.18909375
transcript.pyannote[786].speaker SPEAKER_16
transcript.pyannote[786].start 5468.22284375
transcript.pyannote[786].end 5472.66096875
transcript.pyannote[787].speaker SPEAKER_19
transcript.pyannote[787].start 5471.66534375
transcript.pyannote[787].end 5472.57659375
transcript.pyannote[788].speaker SPEAKER_19
transcript.pyannote[788].start 5472.66096875
transcript.pyannote[788].end 5480.11971875
transcript.pyannote[789].speaker SPEAKER_16
transcript.pyannote[789].start 5472.98159375
transcript.pyannote[789].end 5473.30221875
transcript.pyannote[790].speaker SPEAKER_16
transcript.pyannote[790].start 5479.37721875
transcript.pyannote[790].end 5485.85721875
transcript.pyannote[791].speaker SPEAKER_19
transcript.pyannote[791].start 5486.98784375
transcript.pyannote[791].end 5488.96221875
transcript.pyannote[792].speaker SPEAKER_16
transcript.pyannote[792].start 5488.50659375
transcript.pyannote[792].end 5488.86096875
transcript.pyannote[793].speaker SPEAKER_16
transcript.pyannote[793].start 5488.96221875
transcript.pyannote[793].end 5507.47409375
transcript.pyannote[794].speaker SPEAKER_19
transcript.pyannote[794].start 5489.02971875
transcript.pyannote[794].end 5489.06346875
transcript.pyannote[795].speaker SPEAKER_00
transcript.pyannote[795].start 5497.14659375
transcript.pyannote[795].end 5497.16346875
transcript.pyannote[796].speaker SPEAKER_19
transcript.pyannote[796].start 5497.16346875
transcript.pyannote[796].end 5498.02409375
transcript.pyannote[797].speaker SPEAKER_19
transcript.pyannote[797].start 5500.75784375
transcript.pyannote[797].end 5501.56784375
transcript.pyannote[798].speaker SPEAKER_19
transcript.pyannote[798].start 5502.47909375
transcript.pyannote[798].end 5502.61409375
transcript.pyannote[799].speaker SPEAKER_19
transcript.pyannote[799].start 5503.59284375
transcript.pyannote[799].end 5503.69409375
transcript.pyannote[800].speaker SPEAKER_15
transcript.pyannote[800].start 5503.69409375
transcript.pyannote[800].end 5505.75284375
transcript.pyannote[801].speaker SPEAKER_16
transcript.pyannote[801].start 5507.91284375
transcript.pyannote[801].end 5515.89471875
transcript.pyannote[802].speaker SPEAKER_15
transcript.pyannote[802].start 5508.35159375
transcript.pyannote[802].end 5508.67221875
transcript.pyannote[803].speaker SPEAKER_19
transcript.pyannote[803].start 5516.45159375
transcript.pyannote[803].end 5521.96971875
transcript.pyannote[804].speaker SPEAKER_16
transcript.pyannote[804].start 5516.78909375
transcript.pyannote[804].end 5517.81846875
transcript.pyannote[805].speaker SPEAKER_16
transcript.pyannote[805].start 5519.35409375
transcript.pyannote[805].end 5519.43846875
transcript.pyannote[806].speaker SPEAKER_15
transcript.pyannote[806].start 5519.43846875
transcript.pyannote[806].end 5529.54659375
transcript.pyannote[807].speaker SPEAKER_19
transcript.pyannote[807].start 5522.22284375
transcript.pyannote[807].end 5522.32409375
transcript.pyannote[808].speaker SPEAKER_19
transcript.pyannote[808].start 5525.32784375
transcript.pyannote[808].end 5529.54659375
transcript.pyannote[809].speaker SPEAKER_16
transcript.pyannote[809].start 5529.54659375
transcript.pyannote[809].end 5529.61409375
transcript.pyannote[810].speaker SPEAKER_19
transcript.pyannote[810].start 5529.61409375
transcript.pyannote[810].end 5529.63096875
transcript.pyannote[811].speaker SPEAKER_16
transcript.pyannote[811].start 5529.63096875
transcript.pyannote[811].end 5529.79971875
transcript.pyannote[812].speaker SPEAKER_19
transcript.pyannote[812].start 5529.79971875
transcript.pyannote[812].end 5529.96846875
transcript.pyannote[813].speaker SPEAKER_16
transcript.pyannote[813].start 5529.96846875
transcript.pyannote[813].end 5530.17096875
transcript.pyannote[814].speaker SPEAKER_19
transcript.pyannote[814].start 5530.17096875
transcript.pyannote[814].end 5531.90909375
transcript.pyannote[815].speaker SPEAKER_16
transcript.pyannote[815].start 5530.45784375
transcript.pyannote[815].end 5536.14471875
transcript.pyannote[816].speaker SPEAKER_19
transcript.pyannote[816].start 5535.36846875
transcript.pyannote[816].end 5539.62096875
transcript.pyannote[817].speaker SPEAKER_16
transcript.pyannote[817].start 5539.09784375
transcript.pyannote[817].end 5541.15659375
transcript.pyannote[818].speaker SPEAKER_16
transcript.pyannote[818].start 5541.83159375
transcript.pyannote[818].end 5543.06346875
transcript.pyannote[819].speaker SPEAKER_19
transcript.pyannote[819].start 5543.28284375
transcript.pyannote[819].end 5544.81846875
transcript.pyannote[820].speaker SPEAKER_16
transcript.pyannote[820].start 5544.81846875
transcript.pyannote[820].end 5546.64096875
transcript.pyannote[821].speaker SPEAKER_19
transcript.pyannote[821].start 5546.84346875
transcript.pyannote[821].end 5546.86034375
transcript.pyannote[822].speaker SPEAKER_16
transcript.pyannote[822].start 5546.86034375
transcript.pyannote[822].end 5546.91096875
transcript.pyannote[823].speaker SPEAKER_19
transcript.pyannote[823].start 5546.91096875
transcript.pyannote[823].end 5546.92784375
transcript.pyannote[824].speaker SPEAKER_16
transcript.pyannote[824].start 5546.92784375
transcript.pyannote[824].end 5546.96159375
transcript.pyannote[825].speaker SPEAKER_19
transcript.pyannote[825].start 5546.96159375
transcript.pyannote[825].end 5546.97846875
transcript.pyannote[826].speaker SPEAKER_16
transcript.pyannote[826].start 5546.97846875
transcript.pyannote[826].end 5547.06284375
transcript.pyannote[827].speaker SPEAKER_19
transcript.pyannote[827].start 5547.06284375
transcript.pyannote[827].end 5547.28221875
transcript.pyannote[828].speaker SPEAKER_16
transcript.pyannote[828].start 5547.28221875
transcript.pyannote[828].end 5547.33284375
transcript.pyannote[829].speaker SPEAKER_19
transcript.pyannote[829].start 5547.33284375
transcript.pyannote[829].end 5547.34971875
transcript.pyannote[830].speaker SPEAKER_19
transcript.pyannote[830].start 5547.53534375
transcript.pyannote[830].end 5547.97409375
transcript.pyannote[831].speaker SPEAKER_15
transcript.pyannote[831].start 5547.97409375
transcript.pyannote[831].end 5551.45034375
transcript.pyannote[832].speaker SPEAKER_15
transcript.pyannote[832].start 5551.93971875
transcript.pyannote[832].end 5561.22096875
transcript.pyannote[833].speaker SPEAKER_09
transcript.pyannote[833].start 5552.39534375
transcript.pyannote[833].end 5554.09971875
transcript.pyannote[834].speaker SPEAKER_19
transcript.pyannote[834].start 5561.11971875
transcript.pyannote[834].end 5561.45721875
transcript.pyannote[835].speaker SPEAKER_15
transcript.pyannote[835].start 5561.28846875
transcript.pyannote[835].end 5564.96721875
transcript.pyannote[836].speaker SPEAKER_19
transcript.pyannote[836].start 5563.58346875
transcript.pyannote[836].end 5563.85346875
transcript.pyannote[837].speaker SPEAKER_19
transcript.pyannote[837].start 5564.96721875
transcript.pyannote[837].end 5572.91534375
transcript.pyannote[838].speaker SPEAKER_15
transcript.pyannote[838].start 5567.38034375
transcript.pyannote[838].end 5568.83159375
transcript.pyannote[839].speaker SPEAKER_17
transcript.pyannote[839].start 5570.40096875
transcript.pyannote[839].end 5571.59909375
transcript.pyannote[840].speaker SPEAKER_15
transcript.pyannote[840].start 5571.59909375
transcript.pyannote[840].end 5571.63284375
transcript.pyannote[841].speaker SPEAKER_15
transcript.pyannote[841].start 5572.91534375
transcript.pyannote[841].end 5572.93221875
transcript.pyannote[842].speaker SPEAKER_15
transcript.pyannote[842].start 5573.05034375
transcript.pyannote[842].end 5584.76159375
transcript.pyannote[843].speaker SPEAKER_16
transcript.pyannote[843].start 5582.14596875
transcript.pyannote[843].end 5594.97096875
transcript.pyannote[844].speaker SPEAKER_15
transcript.pyannote[844].start 5584.86284375
transcript.pyannote[844].end 5587.03971875
transcript.pyannote[845].speaker SPEAKER_15
transcript.pyannote[845].start 5594.97096875
transcript.pyannote[845].end 5597.89034375
transcript.pyannote[846].speaker SPEAKER_16
transcript.pyannote[846].start 5595.46034375
transcript.pyannote[846].end 5597.73846875
transcript.pyannote[847].speaker SPEAKER_16
transcript.pyannote[847].start 5597.89034375
transcript.pyannote[847].end 5597.97471875
transcript.pyannote[848].speaker SPEAKER_15
transcript.pyannote[848].start 5597.97471875
transcript.pyannote[848].end 5606.68221875
transcript.pyannote[849].speaker SPEAKER_16
transcript.pyannote[849].start 5598.39659375
transcript.pyannote[849].end 5600.03346875
transcript.pyannote[850].speaker SPEAKER_19
transcript.pyannote[850].start 5600.03346875
transcript.pyannote[850].end 5602.73346875
transcript.pyannote[851].speaker SPEAKER_16
transcript.pyannote[851].start 5602.73346875
transcript.pyannote[851].end 5602.75034375
transcript.pyannote[852].speaker SPEAKER_19
transcript.pyannote[852].start 5602.75034375
transcript.pyannote[852].end 5602.80096875
transcript.pyannote[853].speaker SPEAKER_19
transcript.pyannote[853].start 5603.20596875
transcript.pyannote[853].end 5603.23971875
transcript.pyannote[854].speaker SPEAKER_16
transcript.pyannote[854].start 5603.23971875
transcript.pyannote[854].end 5603.45909375
transcript.pyannote[855].speaker SPEAKER_19
transcript.pyannote[855].start 5603.45909375
transcript.pyannote[855].end 5604.58971875
transcript.pyannote[856].speaker SPEAKER_19
transcript.pyannote[856].start 5604.64034375
transcript.pyannote[856].end 5610.71534375
transcript.pyannote[857].speaker SPEAKER_16
transcript.pyannote[857].start 5609.88846875
transcript.pyannote[857].end 5609.97284375
transcript.pyannote[858].speaker SPEAKER_15
transcript.pyannote[858].start 5609.97284375
transcript.pyannote[858].end 5610.02346875
transcript.pyannote[859].speaker SPEAKER_16
transcript.pyannote[859].start 5610.02346875
transcript.pyannote[859].end 5610.69846875
transcript.pyannote[860].speaker SPEAKER_16
transcript.pyannote[860].start 5610.71534375
transcript.pyannote[860].end 5610.79971875
transcript.pyannote[861].speaker SPEAKER_16
transcript.pyannote[861].start 5611.03596875
transcript.pyannote[861].end 5648.97096875
transcript.pyannote[862].speaker SPEAKER_15
transcript.pyannote[862].start 5648.97096875
transcript.pyannote[862].end 5670.72284375
transcript.pyannote[863].speaker SPEAKER_11
transcript.pyannote[863].start 5674.65471875
transcript.pyannote[863].end 5676.49409375
transcript.pyannote[864].speaker SPEAKER_11
transcript.pyannote[864].start 5676.83159375
transcript.pyannote[864].end 5678.08034375
transcript.pyannote[865].speaker SPEAKER_11
transcript.pyannote[865].start 5681.05034375
transcript.pyannote[865].end 5683.27784375
transcript.pyannote[866].speaker SPEAKER_17
transcript.pyannote[866].start 5683.96971875
transcript.pyannote[866].end 5684.39159375
transcript.pyannote[867].speaker SPEAKER_17
transcript.pyannote[867].start 5692.08659375
transcript.pyannote[867].end 5692.20471875
transcript.pyannote[868].speaker SPEAKER_17
transcript.pyannote[868].start 5693.04846875
transcript.pyannote[868].end 5693.06534375
transcript.pyannote[869].speaker SPEAKER_17
transcript.pyannote[869].start 5693.09909375
transcript.pyannote[869].end 5693.14971875
transcript.pyannote[870].speaker SPEAKER_13
transcript.pyannote[870].start 5698.76909375
transcript.pyannote[870].end 5701.53659375
transcript.pyannote[871].speaker SPEAKER_13
transcript.pyannote[871].start 5701.85721875
transcript.pyannote[871].end 5705.87346875
transcript.pyannote[872].speaker SPEAKER_11
transcript.pyannote[872].start 5702.44784375
transcript.pyannote[872].end 5703.12284375
transcript.pyannote[873].speaker SPEAKER_11
transcript.pyannote[873].start 5704.23659375
transcript.pyannote[873].end 5705.02971875
transcript.pyannote[874].speaker SPEAKER_19
transcript.pyannote[874].start 5705.02971875
transcript.pyannote[874].end 5705.19846875
transcript.pyannote[875].speaker SPEAKER_13
transcript.pyannote[875].start 5713.65284375
transcript.pyannote[875].end 5714.26034375
transcript.pyannote[876].speaker SPEAKER_13
transcript.pyannote[876].start 5715.67784375
transcript.pyannote[876].end 5716.20096875
transcript.pyannote[877].speaker SPEAKER_13
transcript.pyannote[877].start 5717.11221875
transcript.pyannote[877].end 5718.19221875
transcript.pyannote[878].speaker SPEAKER_13
transcript.pyannote[878].start 5719.15409375
transcript.pyannote[878].end 5720.38596875
transcript.pyannote[879].speaker SPEAKER_13
transcript.pyannote[879].start 5722.22534375
transcript.pyannote[879].end 5722.93409375
transcript.pyannote[880].speaker SPEAKER_13
transcript.pyannote[880].start 5723.47409375
transcript.pyannote[880].end 5725.29659375
transcript.pyannote[881].speaker SPEAKER_13
transcript.pyannote[881].start 5725.60034375
transcript.pyannote[881].end 5727.94596875
transcript.pyannote[882].speaker SPEAKER_13
transcript.pyannote[882].start 5728.36784375
transcript.pyannote[882].end 5730.07221875
transcript.pyannote[883].speaker SPEAKER_13
transcript.pyannote[883].start 5731.38846875
transcript.pyannote[883].end 5732.16471875
transcript.pyannote[884].speaker SPEAKER_13
transcript.pyannote[884].start 5732.68784375
transcript.pyannote[884].end 5734.44284375
transcript.pyannote[885].speaker SPEAKER_13
transcript.pyannote[885].start 5734.76346875
transcript.pyannote[885].end 5735.70846875
transcript.pyannote[886].speaker SPEAKER_13
transcript.pyannote[886].start 5736.41721875
transcript.pyannote[886].end 5738.77971875
transcript.pyannote[887].speaker SPEAKER_13
transcript.pyannote[887].start 5739.43784375
transcript.pyannote[887].end 5740.87221875
transcript.pyannote[888].speaker SPEAKER_13
transcript.pyannote[888].start 5741.49659375
transcript.pyannote[888].end 5741.95221875
transcript.pyannote[889].speaker SPEAKER_19
transcript.pyannote[889].start 5743.77471875
transcript.pyannote[889].end 5745.78284375
transcript.pyannote[890].speaker SPEAKER_13
transcript.pyannote[890].start 5745.78284375
transcript.pyannote[890].end 5748.07784375
transcript.pyannote[891].speaker SPEAKER_19
transcript.pyannote[891].start 5747.48721875
transcript.pyannote[891].end 5751.58784375
transcript.pyannote[892].speaker SPEAKER_19
transcript.pyannote[892].start 5751.77346875
transcript.pyannote[892].end 5755.11471875
transcript.pyannote[893].speaker SPEAKER_13
transcript.pyannote[893].start 5754.97971875
transcript.pyannote[893].end 5755.97534375
transcript.pyannote[894].speaker SPEAKER_19
transcript.pyannote[894].start 5756.49846875
transcript.pyannote[894].end 5756.51534375
transcript.pyannote[895].speaker SPEAKER_13
transcript.pyannote[895].start 5756.51534375
transcript.pyannote[895].end 5757.00471875
transcript.pyannote[896].speaker SPEAKER_13
transcript.pyannote[896].start 5757.66284375
transcript.pyannote[896].end 5758.72596875
transcript.pyannote[897].speaker SPEAKER_13
transcript.pyannote[897].start 5759.70471875
transcript.pyannote[897].end 5761.18971875
transcript.pyannote[898].speaker SPEAKER_13
transcript.pyannote[898].start 5762.01659375
transcript.pyannote[898].end 5765.49284375
transcript.pyannote[899].speaker SPEAKER_13
transcript.pyannote[899].start 5766.04971875
transcript.pyannote[899].end 5767.66971875
transcript.pyannote[900].speaker SPEAKER_13
transcript.pyannote[900].start 5768.58096875
transcript.pyannote[900].end 5769.81284375
transcript.pyannote[901].speaker SPEAKER_13
transcript.pyannote[901].start 5770.16721875
transcript.pyannote[901].end 5772.54659375
transcript.pyannote[902].speaker SPEAKER_13
transcript.pyannote[902].start 5773.08659375
transcript.pyannote[902].end 5774.36909375
transcript.pyannote[903].speaker SPEAKER_13
transcript.pyannote[903].start 5775.09471875
transcript.pyannote[903].end 5777.45721875
transcript.pyannote[904].speaker SPEAKER_13
transcript.pyannote[904].start 5777.86221875
transcript.pyannote[904].end 5779.58346875
transcript.pyannote[905].speaker SPEAKER_13
transcript.pyannote[905].start 5780.37659375
transcript.pyannote[905].end 5783.83596875
transcript.pyannote[906].speaker SPEAKER_13
transcript.pyannote[906].start 5784.39284375
transcript.pyannote[906].end 5785.06784375
transcript.pyannote[907].speaker SPEAKER_13
transcript.pyannote[907].start 5785.27034375
transcript.pyannote[907].end 5786.95784375
transcript.pyannote[908].speaker SPEAKER_13
transcript.pyannote[908].start 5787.27846875
transcript.pyannote[908].end 5790.56909375
transcript.pyannote[909].speaker SPEAKER_13
transcript.pyannote[909].start 5791.22721875
transcript.pyannote[909].end 5802.68534375
transcript.pyannote[910].speaker SPEAKER_13
transcript.pyannote[910].start 5803.02284375
transcript.pyannote[910].end 5806.54971875
transcript.pyannote[911].speaker SPEAKER_13
transcript.pyannote[911].start 5807.41034375
transcript.pyannote[911].end 5815.89846875
transcript.pyannote[912].speaker SPEAKER_13
transcript.pyannote[912].start 5816.18534375
transcript.pyannote[912].end 5818.04159375
transcript.pyannote[913].speaker SPEAKER_13
transcript.pyannote[913].start 5818.32846875
transcript.pyannote[913].end 5821.45034375
transcript.pyannote[914].speaker SPEAKER_13
transcript.pyannote[914].start 5822.00721875
transcript.pyannote[914].end 5827.10346875
transcript.pyannote[915].speaker SPEAKER_13
transcript.pyannote[915].start 5827.74471875
transcript.pyannote[915].end 5829.33096875
transcript.pyannote[916].speaker SPEAKER_13
transcript.pyannote[916].start 5829.95534375
transcript.pyannote[916].end 5832.77346875
transcript.pyannote[917].speaker SPEAKER_13
transcript.pyannote[917].start 5833.51596875
transcript.pyannote[917].end 5834.89971875
transcript.pyannote[918].speaker SPEAKER_13
transcript.pyannote[918].start 5835.96284375
transcript.pyannote[918].end 5836.68846875
transcript.pyannote[919].speaker SPEAKER_13
transcript.pyannote[919].start 5836.92471875
transcript.pyannote[919].end 5839.06784375
transcript.pyannote[920].speaker SPEAKER_13
transcript.pyannote[920].start 5839.62471875
transcript.pyannote[920].end 5841.86909375
transcript.pyannote[921].speaker SPEAKER_13
transcript.pyannote[921].start 5842.57784375
transcript.pyannote[921].end 5845.98659375
transcript.pyannote[922].speaker SPEAKER_13
transcript.pyannote[922].start 5846.64471875
transcript.pyannote[922].end 5848.12971875
transcript.pyannote[923].speaker SPEAKER_13
transcript.pyannote[923].start 5848.73721875
transcript.pyannote[923].end 5852.01096875
transcript.pyannote[924].speaker SPEAKER_13
transcript.pyannote[924].start 5852.44971875
transcript.pyannote[924].end 5855.03159375
transcript.pyannote[925].speaker SPEAKER_13
transcript.pyannote[925].start 5855.75721875
transcript.pyannote[925].end 5858.62596875
transcript.pyannote[926].speaker SPEAKER_13
transcript.pyannote[926].start 5859.13221875
transcript.pyannote[926].end 5861.46096875
transcript.pyannote[927].speaker SPEAKER_13
transcript.pyannote[927].start 5861.78159375
transcript.pyannote[927].end 5864.97096875
transcript.pyannote[928].speaker SPEAKER_13
transcript.pyannote[928].start 5865.59534375
transcript.pyannote[928].end 5868.75096875
transcript.pyannote[929].speaker SPEAKER_13
transcript.pyannote[929].start 5869.20659375
transcript.pyannote[929].end 5869.67909375
transcript.pyannote[930].speaker SPEAKER_13
transcript.pyannote[930].start 5870.42159375
transcript.pyannote[930].end 5884.30971875
transcript.pyannote[931].speaker SPEAKER_13
transcript.pyannote[931].start 5884.61346875
transcript.pyannote[931].end 5887.93784375
transcript.pyannote[932].speaker SPEAKER_13
transcript.pyannote[932].start 5888.51159375
transcript.pyannote[932].end 5893.32096875
transcript.pyannote[933].speaker SPEAKER_13
transcript.pyannote[933].start 5893.94534375
transcript.pyannote[933].end 5902.61909375
transcript.pyannote[934].speaker SPEAKER_13
transcript.pyannote[934].start 5902.70346875
transcript.pyannote[934].end 5905.42034375
transcript.pyannote[935].speaker SPEAKER_13
transcript.pyannote[935].start 5905.96034375
transcript.pyannote[935].end 5912.50784375
transcript.pyannote[936].speaker SPEAKER_13
transcript.pyannote[936].start 5912.86221875
transcript.pyannote[936].end 5916.05159375
transcript.pyannote[937].speaker SPEAKER_13
transcript.pyannote[937].start 5916.92909375
transcript.pyannote[937].end 5917.30034375
transcript.pyannote[938].speaker SPEAKER_13
transcript.pyannote[938].start 5918.44784375
transcript.pyannote[938].end 5918.85284375
transcript.pyannote[939].speaker SPEAKER_19
transcript.pyannote[939].start 5918.85284375
transcript.pyannote[939].end 5918.86971875
transcript.pyannote[940].speaker SPEAKER_13
transcript.pyannote[940].start 5919.88221875
transcript.pyannote[940].end 5920.03409375
transcript.pyannote[941].speaker SPEAKER_19
transcript.pyannote[941].start 5920.03409375
transcript.pyannote[941].end 5920.57409375
transcript.pyannote[942].speaker SPEAKER_19
transcript.pyannote[942].start 5923.07159375
transcript.pyannote[942].end 5926.68284375
transcript.pyannote[943].speaker SPEAKER_19
transcript.pyannote[943].start 5927.23971875
transcript.pyannote[943].end 5928.28596875
transcript.pyannote[944].speaker SPEAKER_19
transcript.pyannote[944].start 5928.91034375
transcript.pyannote[944].end 5929.75409375
transcript.pyannote[945].speaker SPEAKER_19
transcript.pyannote[945].start 5930.34471875
transcript.pyannote[945].end 5936.72346875
transcript.pyannote[946].speaker SPEAKER_19
transcript.pyannote[946].start 5937.07784375
transcript.pyannote[946].end 5939.03534375
transcript.pyannote[947].speaker SPEAKER_13
transcript.pyannote[947].start 5939.03534375
transcript.pyannote[947].end 5939.17034375
transcript.pyannote[948].speaker SPEAKER_19
transcript.pyannote[948].start 5939.17034375
transcript.pyannote[948].end 5940.95909375
transcript.pyannote[949].speaker SPEAKER_13
transcript.pyannote[949].start 5940.95909375
transcript.pyannote[949].end 5941.06034375
transcript.pyannote[950].speaker SPEAKER_13
transcript.pyannote[950].start 5941.31346875
transcript.pyannote[950].end 5954.88096875
transcript.pyannote[951].speaker SPEAKER_19
transcript.pyannote[951].start 5941.49909375
transcript.pyannote[951].end 5941.81971875
transcript.pyannote[952].speaker SPEAKER_13
transcript.pyannote[952].start 5955.13409375
transcript.pyannote[952].end 5957.56409375
transcript.pyannote[953].speaker SPEAKER_13
transcript.pyannote[953].start 5957.63159375
transcript.pyannote[953].end 5957.64846875
transcript.pyannote[954].speaker SPEAKER_13
transcript.pyannote[954].start 5957.66534375
transcript.pyannote[954].end 5962.17096875
transcript.pyannote[955].speaker SPEAKER_13
transcript.pyannote[955].start 5962.39034375
transcript.pyannote[955].end 5966.45721875
transcript.pyannote[956].speaker SPEAKER_13
transcript.pyannote[956].start 5966.99721875
transcript.pyannote[956].end 5972.36346875
transcript.pyannote[957].speaker SPEAKER_13
transcript.pyannote[957].start 5972.88659375
transcript.pyannote[957].end 5974.86096875
transcript.pyannote[958].speaker SPEAKER_13
transcript.pyannote[958].start 5975.09721875
transcript.pyannote[958].end 5979.40034375
transcript.pyannote[959].speaker SPEAKER_13
transcript.pyannote[959].start 5979.67034375
transcript.pyannote[959].end 5981.23971875
transcript.pyannote[960].speaker SPEAKER_13
transcript.pyannote[960].start 5981.59409375
transcript.pyannote[960].end 5992.02284375
transcript.pyannote[961].speaker SPEAKER_13
transcript.pyannote[961].start 5992.54596875
transcript.pyannote[961].end 5995.07721875
transcript.pyannote[962].speaker SPEAKER_13
transcript.pyannote[962].start 5995.24596875
transcript.pyannote[962].end 5996.39346875
transcript.pyannote[963].speaker SPEAKER_09
transcript.pyannote[963].start 5996.39346875
transcript.pyannote[963].end 5996.41034375
transcript.pyannote[964].speaker SPEAKER_13
transcript.pyannote[964].start 5996.98409375
transcript.pyannote[964].end 5997.52409375
transcript.pyannote[965].speaker SPEAKER_09
transcript.pyannote[965].start 5997.52409375
transcript.pyannote[965].end 5998.94159375
transcript.pyannote[966].speaker SPEAKER_09
transcript.pyannote[966].start 5999.88659375
transcript.pyannote[966].end 6000.66284375
transcript.pyannote[967].speaker SPEAKER_09
transcript.pyannote[967].start 6001.01721875
transcript.pyannote[967].end 6005.33721875
transcript.pyannote[968].speaker SPEAKER_09
transcript.pyannote[968].start 6006.29909375
transcript.pyannote[968].end 6010.51784375
transcript.pyannote[969].speaker SPEAKER_13
transcript.pyannote[969].start 6010.56846875
transcript.pyannote[969].end 6022.48221875
transcript.pyannote[970].speaker SPEAKER_09
transcript.pyannote[970].start 6023.20784375
transcript.pyannote[970].end 6028.84409375
transcript.pyannote[971].speaker SPEAKER_09
transcript.pyannote[971].start 6029.23221875
transcript.pyannote[971].end 6042.25971875
transcript.pyannote[972].speaker SPEAKER_13
transcript.pyannote[972].start 6041.33159375
transcript.pyannote[972].end 6047.60909375
transcript.pyannote[973].speaker SPEAKER_09
transcript.pyannote[973].start 6042.69846875
transcript.pyannote[973].end 6044.31846875
transcript.pyannote[974].speaker SPEAKER_09
transcript.pyannote[974].start 6045.26346875
transcript.pyannote[974].end 6046.96784375
transcript.pyannote[975].speaker SPEAKER_17
transcript.pyannote[975].start 6046.96784375
transcript.pyannote[975].end 6047.05221875
transcript.pyannote[976].speaker SPEAKER_13
transcript.pyannote[976].start 6047.77784375
transcript.pyannote[976].end 6064.97346875
transcript.pyannote[977].speaker SPEAKER_09
transcript.pyannote[977].start 6062.56034375
transcript.pyannote[977].end 6064.14659375
transcript.pyannote[978].speaker SPEAKER_09
transcript.pyannote[978].start 6064.97346875
transcript.pyannote[978].end 6066.22221875
transcript.pyannote[979].speaker SPEAKER_09
transcript.pyannote[979].start 6066.62721875
transcript.pyannote[979].end 6067.43721875
transcript.pyannote[980].speaker SPEAKER_09
transcript.pyannote[980].start 6068.14596875
transcript.pyannote[980].end 6076.51596875
transcript.pyannote[981].speaker SPEAKER_13
transcript.pyannote[981].start 6076.51596875
transcript.pyannote[981].end 6076.53284375
transcript.pyannote[982].speaker SPEAKER_09
transcript.pyannote[982].start 6076.53284375
transcript.pyannote[982].end 6076.56659375
transcript.pyannote[983].speaker SPEAKER_13
transcript.pyannote[983].start 6076.56659375
transcript.pyannote[983].end 6076.61721875
transcript.pyannote[984].speaker SPEAKER_09
transcript.pyannote[984].start 6076.61721875
transcript.pyannote[984].end 6076.65096875
transcript.pyannote[985].speaker SPEAKER_13
transcript.pyannote[985].start 6076.65096875
transcript.pyannote[985].end 6077.34284375
transcript.pyannote[986].speaker SPEAKER_13
transcript.pyannote[986].start 6078.03471875
transcript.pyannote[986].end 6085.37534375
transcript.pyannote[987].speaker SPEAKER_13
transcript.pyannote[987].start 6085.67909375
transcript.pyannote[987].end 6104.25846875
transcript.pyannote[988].speaker SPEAKER_13
transcript.pyannote[988].start 6105.13596875
transcript.pyannote[988].end 6106.80659375
transcript.pyannote[989].speaker SPEAKER_13
transcript.pyannote[989].start 6107.27909375
transcript.pyannote[989].end 6122.70284375
transcript.pyannote[990].speaker SPEAKER_19
transcript.pyannote[990].start 6122.85471875
transcript.pyannote[990].end 6124.66034375
transcript.pyannote[991].speaker SPEAKER_19
transcript.pyannote[991].start 6124.87971875
transcript.pyannote[991].end 6126.29721875
transcript.pyannote[992].speaker SPEAKER_19
transcript.pyannote[992].start 6126.48284375
transcript.pyannote[992].end 6127.20846875
transcript.pyannote[993].speaker SPEAKER_19
transcript.pyannote[993].start 6127.27596875
transcript.pyannote[993].end 6128.23784375
transcript.pyannote[994].speaker SPEAKER_19
transcript.pyannote[994].start 6128.44034375
transcript.pyannote[994].end 6129.75659375
transcript.pyannote[995].speaker SPEAKER_19
transcript.pyannote[995].start 6130.11096875
transcript.pyannote[995].end 6133.09784375
transcript.pyannote[996].speaker SPEAKER_19
transcript.pyannote[996].start 6133.45221875
transcript.pyannote[996].end 6134.66721875
transcript.pyannote[997].speaker SPEAKER_19
transcript.pyannote[997].start 6135.37596875
transcript.pyannote[997].end 6141.02909375
transcript.pyannote[998].speaker SPEAKER_13
transcript.pyannote[998].start 6139.59471875
transcript.pyannote[998].end 6140.91096875
transcript.pyannote[999].speaker SPEAKER_13
transcript.pyannote[999].start 6141.02909375
transcript.pyannote[999].end 6149.21346875
transcript.pyannote[1000].speaker SPEAKER_19
transcript.pyannote[1000].start 6141.29909375
transcript.pyannote[1000].end 6142.15971875
transcript.pyannote[1001].speaker SPEAKER_13
transcript.pyannote[1001].start 6149.95596875
transcript.pyannote[1001].end 6151.40721875
transcript.pyannote[1002].speaker SPEAKER_19
transcript.pyannote[1002].start 6151.50846875
transcript.pyannote[1002].end 6164.62034375
transcript.pyannote[1003].speaker SPEAKER_13
transcript.pyannote[1003].start 6159.32159375
transcript.pyannote[1003].end 6160.04721875
transcript.pyannote[1004].speaker SPEAKER_15
transcript.pyannote[1004].start 6160.04721875
transcript.pyannote[1004].end 6160.08096875
transcript.pyannote[1005].speaker SPEAKER_13
transcript.pyannote[1005].start 6160.08096875
transcript.pyannote[1005].end 6161.00909375
transcript.pyannote[1006].speaker SPEAKER_15
transcript.pyannote[1006].start 6161.00909375
transcript.pyannote[1006].end 6161.88659375
transcript.pyannote[1007].speaker SPEAKER_13
transcript.pyannote[1007].start 6161.88659375
transcript.pyannote[1007].end 6161.98784375
transcript.pyannote[1008].speaker SPEAKER_15
transcript.pyannote[1008].start 6161.98784375
transcript.pyannote[1008].end 6162.94971875
transcript.pyannote[1009].speaker SPEAKER_13
transcript.pyannote[1009].start 6162.94971875
transcript.pyannote[1009].end 6162.96659375
transcript.pyannote[1010].speaker SPEAKER_19
transcript.pyannote[1010].start 6164.77221875
transcript.pyannote[1010].end 6167.16846875
transcript.pyannote[1011].speaker SPEAKER_19
transcript.pyannote[1011].start 6167.53971875
transcript.pyannote[1011].end 6168.82221875
transcript.pyannote[1012].speaker SPEAKER_19
transcript.pyannote[1012].start 6169.46346875
transcript.pyannote[1012].end 6173.00721875
transcript.pyannote[1013].speaker SPEAKER_19
transcript.pyannote[1013].start 6174.52596875
transcript.pyannote[1013].end 6175.06596875
transcript.pyannote[1014].speaker SPEAKER_19
transcript.pyannote[1014].start 6175.72409375
transcript.pyannote[1014].end 6180.12846875
transcript.pyannote[1015].speaker SPEAKER_13
transcript.pyannote[1015].start 6180.12846875
transcript.pyannote[1015].end 6182.20409375
transcript.pyannote[1016].speaker SPEAKER_13
transcript.pyannote[1016].start 6182.64284375
transcript.pyannote[1016].end 6183.60471875
transcript.pyannote[1017].speaker SPEAKER_13
transcript.pyannote[1017].start 6184.31346875
transcript.pyannote[1017].end 6188.51534375
transcript.pyannote[1018].speaker SPEAKER_15
transcript.pyannote[1018].start 6184.43159375
transcript.pyannote[1018].end 6187.51971875
transcript.pyannote[1019].speaker SPEAKER_13
transcript.pyannote[1019].start 6188.70096875
transcript.pyannote[1019].end 6190.97909375
transcript.pyannote[1020].speaker SPEAKER_13
transcript.pyannote[1020].start 6191.58659375
transcript.pyannote[1020].end 6192.48096875
transcript.pyannote[1021].speaker SPEAKER_13
transcript.pyannote[1021].start 6192.85221875
transcript.pyannote[1021].end 6193.89846875
transcript.pyannote[1022].speaker SPEAKER_19
transcript.pyannote[1022].start 6193.98284375
transcript.pyannote[1022].end 6194.67471875
transcript.pyannote[1023].speaker SPEAKER_13
transcript.pyannote[1023].start 6194.64096875
transcript.pyannote[1023].end 6196.42971875
transcript.pyannote[1024].speaker SPEAKER_13
transcript.pyannote[1024].start 6196.63221875
transcript.pyannote[1024].end 6201.44159375
transcript.pyannote[1025].speaker SPEAKER_13
transcript.pyannote[1025].start 6201.72846875
transcript.pyannote[1025].end 6205.74471875
transcript.pyannote[1026].speaker SPEAKER_13
transcript.pyannote[1026].start 6205.94721875
transcript.pyannote[1026].end 6213.72659375
transcript.pyannote[1027].speaker SPEAKER_13
transcript.pyannote[1027].start 6213.92909375
transcript.pyannote[1027].end 6214.67159375
transcript.pyannote[1028].speaker SPEAKER_13
transcript.pyannote[1028].start 6214.94159375
transcript.pyannote[1028].end 6217.27034375
transcript.pyannote[1029].speaker SPEAKER_13
transcript.pyannote[1029].start 6217.70909375
transcript.pyannote[1029].end 6217.74284375
transcript.pyannote[1030].speaker SPEAKER_19
transcript.pyannote[1030].start 6217.74284375
transcript.pyannote[1030].end 6226.73721875
transcript.pyannote[1031].speaker SPEAKER_19
transcript.pyannote[1031].start 6226.95659375
transcript.pyannote[1031].end 6233.87534375
transcript.pyannote[1032].speaker SPEAKER_13
transcript.pyannote[1032].start 6229.60596875
transcript.pyannote[1032].end 6237.85784375
transcript.pyannote[1033].speaker SPEAKER_13
transcript.pyannote[1033].start 6238.21221875
transcript.pyannote[1033].end 6255.44159375
transcript.pyannote[1034].speaker SPEAKER_16
transcript.pyannote[1034].start 6252.03284375
transcript.pyannote[1034].end 6252.13409375
transcript.pyannote[1035].speaker SPEAKER_19
transcript.pyannote[1035].start 6252.13409375
transcript.pyannote[1035].end 6253.58534375
transcript.pyannote[1036].speaker SPEAKER_19
transcript.pyannote[1036].start 6255.44159375
transcript.pyannote[1036].end 6258.86721875
transcript.pyannote[1037].speaker SPEAKER_13
transcript.pyannote[1037].start 6259.06971875
transcript.pyannote[1037].end 6259.35659375
transcript.pyannote[1038].speaker SPEAKER_13
transcript.pyannote[1038].start 6259.84596875
transcript.pyannote[1038].end 6263.71034375
transcript.pyannote[1039].speaker SPEAKER_13
transcript.pyannote[1039].start 6264.43596875
transcript.pyannote[1039].end 6285.27659375
transcript.pyannote[1040].speaker SPEAKER_13
transcript.pyannote[1040].start 6285.59721875
transcript.pyannote[1040].end 6289.15784375
transcript.pyannote[1041].speaker SPEAKER_13
transcript.pyannote[1041].start 6289.49534375
transcript.pyannote[1041].end 6297.81471875
transcript.pyannote[1042].speaker SPEAKER_13
transcript.pyannote[1042].start 6298.48971875
transcript.pyannote[1042].end 6304.19346875
transcript.pyannote[1043].speaker SPEAKER_13
transcript.pyannote[1043].start 6304.66596875
transcript.pyannote[1043].end 6314.62221875
transcript.pyannote[1044].speaker SPEAKER_13
transcript.pyannote[1044].start 6315.11159375
transcript.pyannote[1044].end 6318.84096875
transcript.pyannote[1045].speaker SPEAKER_13
transcript.pyannote[1045].start 6319.48221875
transcript.pyannote[1045].end 6323.29596875
transcript.pyannote[1046].speaker SPEAKER_13
transcript.pyannote[1046].start 6323.85284375
transcript.pyannote[1046].end 6328.03784375
transcript.pyannote[1047].speaker SPEAKER_13
transcript.pyannote[1047].start 6328.37534375
transcript.pyannote[1047].end 6344.00159375
transcript.pyannote[1048].speaker SPEAKER_13
transcript.pyannote[1048].start 6344.33909375
transcript.pyannote[1048].end 6344.79471875
transcript.pyannote[1049].speaker SPEAKER_13
transcript.pyannote[1049].start 6345.57096875
transcript.pyannote[1049].end 6346.02659375
transcript.pyannote[1050].speaker SPEAKER_13
transcript.pyannote[1050].start 6346.27971875
transcript.pyannote[1050].end 6346.71846875
transcript.pyannote[1051].speaker SPEAKER_13
transcript.pyannote[1051].start 6349.50284375
transcript.pyannote[1051].end 6350.59971875
transcript.pyannote[1052].speaker SPEAKER_13
transcript.pyannote[1052].start 6350.85284375
transcript.pyannote[1052].end 6354.09284375
transcript.pyannote[1053].speaker SPEAKER_13
transcript.pyannote[1053].start 6354.68346875
transcript.pyannote[1053].end 6361.29846875
transcript.pyannote[1054].speaker SPEAKER_13
transcript.pyannote[1054].start 6361.83846875
transcript.pyannote[1054].end 6362.42909375
transcript.pyannote[1055].speaker SPEAKER_13
transcript.pyannote[1055].start 6362.68221875
transcript.pyannote[1055].end 6366.74909375
transcript.pyannote[1056].speaker SPEAKER_13
transcript.pyannote[1056].start 6367.87971875
transcript.pyannote[1056].end 6370.49534375
transcript.pyannote[1057].speaker SPEAKER_13
transcript.pyannote[1057].start 6370.73159375
transcript.pyannote[1057].end 6371.44034375
transcript.pyannote[1058].speaker SPEAKER_13
transcript.pyannote[1058].start 6372.09846875
transcript.pyannote[1058].end 6373.61721875
transcript.pyannote[1059].speaker SPEAKER_13
transcript.pyannote[1059].start 6373.90409375
transcript.pyannote[1059].end 6374.44409375
transcript.pyannote[1060].speaker SPEAKER_13
transcript.pyannote[1060].start 6374.86596875
transcript.pyannote[1060].end 6376.77284375
transcript.pyannote[1061].speaker SPEAKER_13
transcript.pyannote[1061].start 6376.87409375
transcript.pyannote[1061].end 6380.65409375
transcript.pyannote[1062].speaker SPEAKER_13
transcript.pyannote[1062].start 6380.83971875
transcript.pyannote[1062].end 6395.65596875
transcript.pyannote[1063].speaker SPEAKER_13
transcript.pyannote[1063].start 6395.79096875
transcript.pyannote[1063].end 6396.16221875
transcript.pyannote[1064].speaker SPEAKER_13
transcript.pyannote[1064].start 6396.58409375
transcript.pyannote[1064].end 6401.96721875
transcript.pyannote[1065].speaker SPEAKER_13
transcript.pyannote[1065].start 6402.22034375
transcript.pyannote[1065].end 6427.36409375
transcript.pyannote[1066].speaker SPEAKER_13
transcript.pyannote[1066].start 6427.92096875
transcript.pyannote[1066].end 6432.52784375
transcript.pyannote[1067].speaker SPEAKER_09
transcript.pyannote[1067].start 6433.99596875
transcript.pyannote[1067].end 6435.91971875
transcript.pyannote[1068].speaker SPEAKER_09
transcript.pyannote[1068].start 6436.34159375
transcript.pyannote[1068].end 6438.58596875
transcript.pyannote[1069].speaker SPEAKER_09
transcript.pyannote[1069].start 6438.73784375
transcript.pyannote[1069].end 6439.61534375
transcript.pyannote[1070].speaker SPEAKER_09
transcript.pyannote[1070].start 6439.91909375
transcript.pyannote[1070].end 6446.02784375
transcript.pyannote[1071].speaker SPEAKER_13
transcript.pyannote[1071].start 6446.02784375
transcript.pyannote[1071].end 6450.33096875
transcript.pyannote[1072].speaker SPEAKER_02
transcript.pyannote[1072].start 6450.33096875
transcript.pyannote[1072].end 6456.08534375
transcript.pyannote[1073].speaker SPEAKER_02
transcript.pyannote[1073].start 6456.38909375
transcript.pyannote[1073].end 6462.95346875
transcript.pyannote[1074].speaker SPEAKER_02
transcript.pyannote[1074].start 6463.24034375
transcript.pyannote[1074].end 6469.23096875
transcript.pyannote[1075].speaker SPEAKER_02
transcript.pyannote[1075].start 6469.41659375
transcript.pyannote[1075].end 6475.99784375
transcript.pyannote[1076].speaker SPEAKER_02
transcript.pyannote[1076].start 6476.11596875
transcript.pyannote[1076].end 6486.22409375
transcript.pyannote[1077].speaker SPEAKER_13
transcript.pyannote[1077].start 6484.24971875
transcript.pyannote[1077].end 6484.94159375
transcript.pyannote[1078].speaker SPEAKER_13
transcript.pyannote[1078].start 6485.53221875
transcript.pyannote[1078].end 6487.21971875
transcript.pyannote[1079].speaker SPEAKER_13
transcript.pyannote[1079].start 6487.37159375
transcript.pyannote[1079].end 6489.88596875
transcript.pyannote[1080].speaker SPEAKER_02
transcript.pyannote[1080].start 6489.88596875
transcript.pyannote[1080].end 6490.03784375
transcript.pyannote[1081].speaker SPEAKER_01
transcript.pyannote[1081].start 6490.03784375
transcript.pyannote[1081].end 6492.19784375
transcript.pyannote[1082].speaker SPEAKER_13
transcript.pyannote[1082].start 6490.72971875
transcript.pyannote[1082].end 6518.03346875
transcript.pyannote[1083].speaker SPEAKER_13
transcript.pyannote[1083].start 6518.70846875
transcript.pyannote[1083].end 6519.26534375
transcript.pyannote[1084].speaker SPEAKER_13
transcript.pyannote[1084].start 6519.60284375
transcript.pyannote[1084].end 6522.92721875
transcript.pyannote[1085].speaker SPEAKER_13
transcript.pyannote[1085].start 6523.14659375
transcript.pyannote[1085].end 6545.03346875
transcript.pyannote[1086].speaker SPEAKER_13
transcript.pyannote[1086].start 6545.13471875
transcript.pyannote[1086].end 6545.84346875
transcript.pyannote[1087].speaker SPEAKER_13
transcript.pyannote[1087].start 6545.92784375
transcript.pyannote[1087].end 6546.36659375
transcript.pyannote[1088].speaker SPEAKER_13
transcript.pyannote[1088].start 6546.67034375
transcript.pyannote[1088].end 6547.10909375
transcript.pyannote[1089].speaker SPEAKER_13
transcript.pyannote[1089].start 6547.78409375
transcript.pyannote[1089].end 6549.45471875
transcript.pyannote[1090].speaker SPEAKER_13
transcript.pyannote[1090].start 6550.18034375
transcript.pyannote[1090].end 6550.73721875
transcript.pyannote[1091].speaker SPEAKER_13
transcript.pyannote[1091].start 6551.66534375
transcript.pyannote[1091].end 6553.03221875
transcript.pyannote[1092].speaker SPEAKER_13
transcript.pyannote[1092].start 6553.45409375
transcript.pyannote[1092].end 6559.57971875
transcript.pyannote[1093].speaker SPEAKER_13
transcript.pyannote[1093].start 6559.95096875
transcript.pyannote[1093].end 6560.94659375
transcript.pyannote[1094].speaker SPEAKER_13
transcript.pyannote[1094].start 6561.28409375
transcript.pyannote[1094].end 6562.31346875
transcript.pyannote[1095].speaker SPEAKER_13
transcript.pyannote[1095].start 6562.71846875
transcript.pyannote[1095].end 6563.42721875
transcript.pyannote[1096].speaker SPEAKER_13
transcript.pyannote[1096].start 6563.83221875
transcript.pyannote[1096].end 6564.59159375
transcript.pyannote[1097].speaker SPEAKER_13
transcript.pyannote[1097].start 6564.62534375
transcript.pyannote[1097].end 6578.59784375
transcript.pyannote[1098].speaker SPEAKER_13
transcript.pyannote[1098].start 6578.86784375
transcript.pyannote[1098].end 6581.88846875
transcript.pyannote[1099].speaker SPEAKER_02
transcript.pyannote[1099].start 6582.47909375
transcript.pyannote[1099].end 6596.75534375
transcript.pyannote[1100].speaker SPEAKER_13
transcript.pyannote[1100].start 6594.46034375
transcript.pyannote[1100].end 6614.72721875
transcript.pyannote[1101].speaker SPEAKER_02
transcript.pyannote[1101].start 6600.21471875
transcript.pyannote[1101].end 6600.28221875
transcript.pyannote[1102].speaker SPEAKER_20
transcript.pyannote[1102].start 6600.28221875
transcript.pyannote[1102].end 6601.31159375
transcript.pyannote[1103].speaker SPEAKER_02
transcript.pyannote[1103].start 6601.31159375
transcript.pyannote[1103].end 6601.34534375
transcript.pyannote[1104].speaker SPEAKER_02
transcript.pyannote[1104].start 6614.72721875
transcript.pyannote[1104].end 6617.07284375
transcript.pyannote[1105].speaker SPEAKER_13
transcript.pyannote[1105].start 6614.76096875
transcript.pyannote[1105].end 6614.77784375
transcript.pyannote[1106].speaker SPEAKER_13
transcript.pyannote[1106].start 6614.89596875
transcript.pyannote[1106].end 6615.28409375
transcript.pyannote[1107].speaker SPEAKER_13
transcript.pyannote[1107].start 6617.64659375
transcript.pyannote[1107].end 6617.96721875
transcript.pyannote[1108].speaker SPEAKER_11
transcript.pyannote[1108].start 6617.96721875
transcript.pyannote[1108].end 6618.20346875
transcript.pyannote[1109].speaker SPEAKER_13
transcript.pyannote[1109].start 6618.20346875
transcript.pyannote[1109].end 6618.27096875
transcript.pyannote[1110].speaker SPEAKER_13
transcript.pyannote[1110].start 6618.62534375
transcript.pyannote[1110].end 6618.64221875
transcript.pyannote[1111].speaker SPEAKER_11
transcript.pyannote[1111].start 6618.64221875
transcript.pyannote[1111].end 6619.92471875
transcript.pyannote[1112].speaker SPEAKER_11
transcript.pyannote[1112].start 6620.27909375
transcript.pyannote[1112].end 6621.32534375
transcript.pyannote[1113].speaker SPEAKER_11
transcript.pyannote[1113].start 6624.59909375
transcript.pyannote[1113].end 6628.37909375
transcript.pyannote[1114].speaker SPEAKER_08
transcript.pyannote[1114].start 6639.68534375
transcript.pyannote[1114].end 6643.43159375
transcript.pyannote[1115].speaker SPEAKER_11
transcript.pyannote[1115].start 6644.25846875
transcript.pyannote[1115].end 6647.29596875
transcript.pyannote[1116].speaker SPEAKER_08
transcript.pyannote[1116].start 6656.12159375
transcript.pyannote[1116].end 6656.86409375
transcript.pyannote[1117].speaker SPEAKER_08
transcript.pyannote[1117].start 6657.03284375
transcript.pyannote[1117].end 6662.19659375
transcript.pyannote[1118].speaker SPEAKER_08
transcript.pyannote[1118].start 6662.53409375
transcript.pyannote[1118].end 6666.71909375
transcript.pyannote[1119].speaker SPEAKER_19
transcript.pyannote[1119].start 6667.17471875
transcript.pyannote[1119].end 6669.60471875
transcript.pyannote[1120].speaker SPEAKER_08
transcript.pyannote[1120].start 6667.32659375
transcript.pyannote[1120].end 6675.93284375
transcript.pyannote[1121].speaker SPEAKER_19
transcript.pyannote[1121].start 6673.57034375
transcript.pyannote[1121].end 6674.54909375
transcript.pyannote[1122].speaker SPEAKER_08
transcript.pyannote[1122].start 6676.16909375
transcript.pyannote[1122].end 6686.53034375
transcript.pyannote[1123].speaker SPEAKER_08
transcript.pyannote[1123].start 6687.55971875
transcript.pyannote[1123].end 6688.77471875
transcript.pyannote[1124].speaker SPEAKER_02
transcript.pyannote[1124].start 6688.84221875
transcript.pyannote[1124].end 6689.50034375
transcript.pyannote[1125].speaker SPEAKER_08
transcript.pyannote[1125].start 6689.07846875
transcript.pyannote[1125].end 6689.88846875
transcript.pyannote[1126].speaker SPEAKER_19
transcript.pyannote[1126].start 6689.75346875
transcript.pyannote[1126].end 6689.78721875
transcript.pyannote[1127].speaker SPEAKER_02
transcript.pyannote[1127].start 6689.78721875
transcript.pyannote[1127].end 6690.47909375
transcript.pyannote[1128].speaker SPEAKER_08
transcript.pyannote[1128].start 6690.47909375
transcript.pyannote[1128].end 6690.54659375
transcript.pyannote[1129].speaker SPEAKER_19
transcript.pyannote[1129].start 6690.54659375
transcript.pyannote[1129].end 6691.62659375
transcript.pyannote[1130].speaker SPEAKER_08
transcript.pyannote[1130].start 6691.62659375
transcript.pyannote[1130].end 6692.06534375
transcript.pyannote[1131].speaker SPEAKER_19
transcript.pyannote[1131].start 6692.06534375
transcript.pyannote[1131].end 6692.09909375
transcript.pyannote[1132].speaker SPEAKER_08
transcript.pyannote[1132].start 6692.09909375
transcript.pyannote[1132].end 6692.14971875
transcript.pyannote[1133].speaker SPEAKER_19
transcript.pyannote[1133].start 6692.14971875
transcript.pyannote[1133].end 6699.57471875
transcript.pyannote[1134].speaker SPEAKER_08
transcript.pyannote[1134].start 6692.33534375
transcript.pyannote[1134].end 6693.04409375
transcript.pyannote[1135].speaker SPEAKER_23
transcript.pyannote[1135].start 6699.74346875
transcript.pyannote[1135].end 6700.01346875
transcript.pyannote[1136].speaker SPEAKER_19
transcript.pyannote[1136].start 6700.33409375
transcript.pyannote[1136].end 6700.80659375
transcript.pyannote[1137].speaker SPEAKER_23
transcript.pyannote[1137].start 6700.95846875
transcript.pyannote[1137].end 6701.49846875
transcript.pyannote[1138].speaker SPEAKER_19
transcript.pyannote[1138].start 6701.61659375
transcript.pyannote[1138].end 6703.48971875
transcript.pyannote[1139].speaker SPEAKER_08
transcript.pyannote[1139].start 6703.48971875
transcript.pyannote[1139].end 6703.55721875
transcript.pyannote[1140].speaker SPEAKER_23
transcript.pyannote[1140].start 6704.40096875
transcript.pyannote[1140].end 6707.55659375
transcript.pyannote[1141].speaker SPEAKER_08
transcript.pyannote[1141].start 6706.27409375
transcript.pyannote[1141].end 6715.74096875
transcript.pyannote[1142].speaker SPEAKER_19
transcript.pyannote[1142].start 6707.55659375
transcript.pyannote[1142].end 6707.64096875
transcript.pyannote[1143].speaker SPEAKER_08
transcript.pyannote[1143].start 6715.79159375
transcript.pyannote[1143].end 6716.43284375
transcript.pyannote[1144].speaker SPEAKER_08
transcript.pyannote[1144].start 6716.50034375
transcript.pyannote[1144].end 6721.12409375
transcript.pyannote[1145].speaker SPEAKER_08
transcript.pyannote[1145].start 6721.47846875
transcript.pyannote[1145].end 6728.12721875
transcript.pyannote[1146].speaker SPEAKER_08
transcript.pyannote[1146].start 6728.36346875
transcript.pyannote[1146].end 6729.34221875
transcript.pyannote[1147].speaker SPEAKER_08
transcript.pyannote[1147].start 6729.40971875
transcript.pyannote[1147].end 6730.62471875
transcript.pyannote[1148].speaker SPEAKER_08
transcript.pyannote[1148].start 6730.94534375
transcript.pyannote[1148].end 6736.73346875
transcript.pyannote[1149].speaker SPEAKER_08
transcript.pyannote[1149].start 6737.03721875
transcript.pyannote[1149].end 6750.04784375
transcript.pyannote[1150].speaker SPEAKER_08
transcript.pyannote[1150].start 6750.19971875
transcript.pyannote[1150].end 6763.44659375
transcript.pyannote[1151].speaker SPEAKER_08
transcript.pyannote[1151].start 6763.73346875
transcript.pyannote[1151].end 6766.46721875
transcript.pyannote[1152].speaker SPEAKER_02
transcript.pyannote[1152].start 6766.36596875
transcript.pyannote[1152].end 6766.45034375
transcript.pyannote[1153].speaker SPEAKER_02
transcript.pyannote[1153].start 6766.46721875
transcript.pyannote[1153].end 6766.87221875
transcript.pyannote[1154].speaker SPEAKER_08
transcript.pyannote[1154].start 6767.42909375
transcript.pyannote[1154].end 6768.42471875
transcript.pyannote[1155].speaker SPEAKER_08
transcript.pyannote[1155].start 6769.40346875
transcript.pyannote[1155].end 6769.79159375
transcript.pyannote[1156].speaker SPEAKER_08
transcript.pyannote[1156].start 6770.95596875
transcript.pyannote[1156].end 6777.25034375
transcript.pyannote[1157].speaker SPEAKER_08
transcript.pyannote[1157].start 6777.65534375
transcript.pyannote[1157].end 6783.27471875
transcript.pyannote[1158].speaker SPEAKER_02
transcript.pyannote[1158].start 6784.77659375
transcript.pyannote[1158].end 6788.94471875
transcript.pyannote[1159].speaker SPEAKER_02
transcript.pyannote[1159].start 6789.34971875
transcript.pyannote[1159].end 6790.24409375
transcript.pyannote[1160].speaker SPEAKER_08
transcript.pyannote[1160].start 6789.43409375
transcript.pyannote[1160].end 6791.03721875
transcript.pyannote[1161].speaker SPEAKER_02
transcript.pyannote[1161].start 6790.63221875
transcript.pyannote[1161].end 6791.10471875
transcript.pyannote[1162].speaker SPEAKER_08
transcript.pyannote[1162].start 6791.10471875
transcript.pyannote[1162].end 6791.17221875
transcript.pyannote[1163].speaker SPEAKER_08
transcript.pyannote[1163].start 6791.30721875
transcript.pyannote[1163].end 6797.63534375
transcript.pyannote[1164].speaker SPEAKER_08
transcript.pyannote[1164].start 6797.75346875
transcript.pyannote[1164].end 6799.93034375
transcript.pyannote[1165].speaker SPEAKER_02
transcript.pyannote[1165].start 6800.13284375
transcript.pyannote[1165].end 6801.21284375
transcript.pyannote[1166].speaker SPEAKER_08
transcript.pyannote[1166].start 6801.44909375
transcript.pyannote[1166].end 6807.15284375
transcript.pyannote[1167].speaker SPEAKER_08
transcript.pyannote[1167].start 6807.50721875
transcript.pyannote[1167].end 6807.74346875
transcript.pyannote[1168].speaker SPEAKER_08
transcript.pyannote[1168].start 6808.48596875
transcript.pyannote[1168].end 6832.36409375
transcript.pyannote[1169].speaker SPEAKER_08
transcript.pyannote[1169].start 6832.65096875
transcript.pyannote[1169].end 6841.35846875
transcript.pyannote[1170].speaker SPEAKER_08
transcript.pyannote[1170].start 6841.59471875
transcript.pyannote[1170].end 6852.88409375
transcript.pyannote[1171].speaker SPEAKER_08
transcript.pyannote[1171].start 6853.39034375
transcript.pyannote[1171].end 6857.87909375
transcript.pyannote[1172].speaker SPEAKER_08
transcript.pyannote[1172].start 6858.35159375
transcript.pyannote[1172].end 6860.59596875
transcript.pyannote[1173].speaker SPEAKER_08
transcript.pyannote[1173].start 6861.22034375
transcript.pyannote[1173].end 6864.59534375
transcript.pyannote[1174].speaker SPEAKER_08
transcript.pyannote[1174].start 6865.00034375
transcript.pyannote[1174].end 6875.26034375
transcript.pyannote[1175].speaker SPEAKER_08
transcript.pyannote[1175].start 6875.49659375
transcript.pyannote[1175].end 6890.38034375
transcript.pyannote[1176].speaker SPEAKER_08
transcript.pyannote[1176].start 6890.97096875
transcript.pyannote[1176].end 6890.98784375
transcript.pyannote[1177].speaker SPEAKER_19
transcript.pyannote[1177].start 6890.98784375
transcript.pyannote[1177].end 6896.94471875
transcript.pyannote[1178].speaker SPEAKER_19
transcript.pyannote[1178].start 6896.97846875
transcript.pyannote[1178].end 6899.44221875
transcript.pyannote[1179].speaker SPEAKER_19
transcript.pyannote[1179].start 6899.83034375
transcript.pyannote[1179].end 6902.05784375
transcript.pyannote[1180].speaker SPEAKER_19
transcript.pyannote[1180].start 6902.12534375
transcript.pyannote[1180].end 6903.88034375
transcript.pyannote[1181].speaker SPEAKER_19
transcript.pyannote[1181].start 6904.08284375
transcript.pyannote[1181].end 6906.20909375
transcript.pyannote[1182].speaker SPEAKER_08
transcript.pyannote[1182].start 6906.20909375
transcript.pyannote[1182].end 6906.25971875
transcript.pyannote[1183].speaker SPEAKER_19
transcript.pyannote[1183].start 6906.44534375
transcript.pyannote[1183].end 6906.96846875
transcript.pyannote[1184].speaker SPEAKER_08
transcript.pyannote[1184].start 6906.96846875
transcript.pyannote[1184].end 6909.83721875
transcript.pyannote[1185].speaker SPEAKER_08
transcript.pyannote[1185].start 6910.10721875
transcript.pyannote[1185].end 6926.45909375
transcript.pyannote[1186].speaker SPEAKER_08
transcript.pyannote[1186].start 6926.91471875
transcript.pyannote[1186].end 6933.79971875
transcript.pyannote[1187].speaker SPEAKER_08
transcript.pyannote[1187].start 6934.10346875
transcript.pyannote[1187].end 6935.18346875
transcript.pyannote[1188].speaker SPEAKER_08
transcript.pyannote[1188].start 6935.72346875
transcript.pyannote[1188].end 6937.00596875
transcript.pyannote[1189].speaker SPEAKER_08
transcript.pyannote[1189].start 6937.64721875
transcript.pyannote[1189].end 6938.77784375
transcript.pyannote[1190].speaker SPEAKER_08
transcript.pyannote[1190].start 6939.57096875
transcript.pyannote[1190].end 6940.39784375
transcript.pyannote[1191].speaker SPEAKER_02
transcript.pyannote[1191].start 6941.27534375
transcript.pyannote[1191].end 6942.65909375
transcript.pyannote[1192].speaker SPEAKER_02
transcript.pyannote[1192].start 6943.28346875
transcript.pyannote[1192].end 6949.52721875
transcript.pyannote[1193].speaker SPEAKER_08
transcript.pyannote[1193].start 6949.72971875
transcript.pyannote[1193].end 6951.45096875
transcript.pyannote[1194].speaker SPEAKER_08
transcript.pyannote[1194].start 6951.55221875
transcript.pyannote[1194].end 6959.73659375
transcript.pyannote[1195].speaker SPEAKER_08
transcript.pyannote[1195].start 6960.64784375
transcript.pyannote[1195].end 6962.47034375
transcript.pyannote[1196].speaker SPEAKER_08
transcript.pyannote[1196].start 6962.77409375
transcript.pyannote[1196].end 6964.02284375
transcript.pyannote[1197].speaker SPEAKER_08
transcript.pyannote[1197].start 6964.42784375
transcript.pyannote[1197].end 6969.03471875
transcript.pyannote[1198].speaker SPEAKER_08
transcript.pyannote[1198].start 6969.38909375
transcript.pyannote[1198].end 6970.53659375
transcript.pyannote[1199].speaker SPEAKER_08
transcript.pyannote[1199].start 6971.02596875
transcript.pyannote[1199].end 6973.21971875
transcript.pyannote[1200].speaker SPEAKER_08
transcript.pyannote[1200].start 6973.27034375
transcript.pyannote[1200].end 6974.23221875
transcript.pyannote[1201].speaker SPEAKER_08
transcript.pyannote[1201].start 6975.32909375
transcript.pyannote[1201].end 6977.03346875
transcript.pyannote[1202].speaker SPEAKER_08
transcript.pyannote[1202].start 6977.25284375
transcript.pyannote[1202].end 6980.20596875
transcript.pyannote[1203].speaker SPEAKER_02
transcript.pyannote[1203].start 6979.61534375
transcript.pyannote[1203].end 6980.99909375
transcript.pyannote[1204].speaker SPEAKER_08
transcript.pyannote[1204].start 6980.69534375
transcript.pyannote[1204].end 6984.54284375
transcript.pyannote[1205].speaker SPEAKER_08
transcript.pyannote[1205].start 6984.84659375
transcript.pyannote[1205].end 7007.13846875
transcript.pyannote[1206].speaker SPEAKER_08
transcript.pyannote[1206].start 7007.98221875
transcript.pyannote[1206].end 7011.03659375
transcript.pyannote[1207].speaker SPEAKER_08
transcript.pyannote[1207].start 7011.34034375
transcript.pyannote[1207].end 7014.19221875
transcript.pyannote[1208].speaker SPEAKER_08
transcript.pyannote[1208].start 7014.68159375
transcript.pyannote[1208].end 7019.20409375
transcript.pyannote[1209].speaker SPEAKER_08
transcript.pyannote[1209].start 7019.77784375
transcript.pyannote[1209].end 7021.49909375
transcript.pyannote[1210].speaker SPEAKER_08
transcript.pyannote[1210].start 7022.59596875
transcript.pyannote[1210].end 7023.15284375
transcript.pyannote[1211].speaker SPEAKER_08
transcript.pyannote[1211].start 7023.38909375
transcript.pyannote[1211].end 7023.94596875
transcript.pyannote[1212].speaker SPEAKER_08
transcript.pyannote[1212].start 7024.38471875
transcript.pyannote[1212].end 7025.86971875
transcript.pyannote[1213].speaker SPEAKER_08
transcript.pyannote[1213].start 7026.08909375
transcript.pyannote[1213].end 7026.19034375
transcript.pyannote[1214].speaker SPEAKER_19
transcript.pyannote[1214].start 7026.19034375
transcript.pyannote[1214].end 7026.34221875
transcript.pyannote[1215].speaker SPEAKER_08
transcript.pyannote[1215].start 7026.34221875
transcript.pyannote[1215].end 7031.80971875
transcript.pyannote[1216].speaker SPEAKER_19
transcript.pyannote[1216].start 7027.16909375
transcript.pyannote[1216].end 7027.96221875
transcript.pyannote[1217].speaker SPEAKER_19
transcript.pyannote[1217].start 7032.88971875
transcript.pyannote[1217].end 7037.02409375
transcript.pyannote[1218].speaker SPEAKER_08
transcript.pyannote[1218].start 7037.56409375
transcript.pyannote[1218].end 7037.73284375
transcript.pyannote[1219].speaker SPEAKER_19
transcript.pyannote[1219].start 7037.73284375
transcript.pyannote[1219].end 7037.76659375
transcript.pyannote[1220].speaker SPEAKER_08
transcript.pyannote[1220].start 7037.76659375
transcript.pyannote[1220].end 7037.81721875
transcript.pyannote[1221].speaker SPEAKER_08
transcript.pyannote[1221].start 7037.90159375
transcript.pyannote[1221].end 7061.27346875
transcript.pyannote[1222].speaker SPEAKER_08
transcript.pyannote[1222].start 7061.56034375
transcript.pyannote[1222].end 7065.27284375
transcript.pyannote[1223].speaker SPEAKER_08
transcript.pyannote[1223].start 7065.50909375
transcript.pyannote[1223].end 7075.51596875
transcript.pyannote[1224].speaker SPEAKER_08
transcript.pyannote[1224].start 7075.85346875
transcript.pyannote[1224].end 7082.50221875
transcript.pyannote[1225].speaker SPEAKER_08
transcript.pyannote[1225].start 7082.73846875
transcript.pyannote[1225].end 7089.03284375
transcript.pyannote[1226].speaker SPEAKER_08
transcript.pyannote[1226].start 7089.06659375
transcript.pyannote[1226].end 7092.18846875
transcript.pyannote[1227].speaker SPEAKER_19
transcript.pyannote[1227].start 7092.18846875
transcript.pyannote[1227].end 7092.20534375
transcript.pyannote[1228].speaker SPEAKER_19
transcript.pyannote[1228].start 7093.33596875
transcript.pyannote[1228].end 7098.01034375
transcript.pyannote[1229].speaker SPEAKER_08
transcript.pyannote[1229].start 7093.43721875
transcript.pyannote[1229].end 7093.70721875
transcript.pyannote[1230].speaker SPEAKER_17
transcript.pyannote[1230].start 7094.01096875
transcript.pyannote[1230].end 7094.04471875
transcript.pyannote[1231].speaker SPEAKER_08
transcript.pyannote[1231].start 7094.04471875
transcript.pyannote[1231].end 7094.65221875
transcript.pyannote[1232].speaker SPEAKER_19
transcript.pyannote[1232].start 7098.36471875
transcript.pyannote[1232].end 7101.72284375
transcript.pyannote[1233].speaker SPEAKER_19
transcript.pyannote[1233].start 7102.22909375
transcript.pyannote[1233].end 7105.85721875
transcript.pyannote[1234].speaker SPEAKER_19
transcript.pyannote[1234].start 7106.04284375
transcript.pyannote[1234].end 7106.07659375
transcript.pyannote[1235].speaker SPEAKER_08
transcript.pyannote[1235].start 7106.07659375
transcript.pyannote[1235].end 7122.07409375
transcript.pyannote[1236].speaker SPEAKER_08
transcript.pyannote[1236].start 7122.61409375
transcript.pyannote[1236].end 7123.03596875
transcript.pyannote[1237].speaker SPEAKER_19
transcript.pyannote[1237].start 7123.03596875
transcript.pyannote[1237].end 7124.60534375
transcript.pyannote[1238].speaker SPEAKER_19
transcript.pyannote[1238].start 7125.34784375
transcript.pyannote[1238].end 7129.41471875
transcript.pyannote[1239].speaker SPEAKER_19
transcript.pyannote[1239].start 7129.73534375
transcript.pyannote[1239].end 7131.70971875
transcript.pyannote[1240].speaker SPEAKER_19
transcript.pyannote[1240].start 7132.03034375
transcript.pyannote[1240].end 7134.79784375
transcript.pyannote[1241].speaker SPEAKER_19
transcript.pyannote[1241].start 7135.69221875
transcript.pyannote[1241].end 7136.36721875
transcript.pyannote[1242].speaker SPEAKER_02
transcript.pyannote[1242].start 7136.89034375
transcript.pyannote[1242].end 7140.26534375
transcript.pyannote[1243].speaker SPEAKER_19
transcript.pyannote[1243].start 7138.40909375
transcript.pyannote[1243].end 7138.59471875
transcript.pyannote[1244].speaker SPEAKER_02
transcript.pyannote[1244].start 7140.33284375
transcript.pyannote[1244].end 7151.53784375
transcript.pyannote[1245].speaker SPEAKER_02
transcript.pyannote[1245].start 7151.67284375
transcript.pyannote[1245].end 7160.38034375
transcript.pyannote[1246].speaker SPEAKER_02
transcript.pyannote[1246].start 7160.46471875
transcript.pyannote[1246].end 7188.51096875
transcript.pyannote[1247].speaker SPEAKER_17
transcript.pyannote[1247].start 7173.28971875
transcript.pyannote[1247].end 7173.62721875
transcript.pyannote[1248].speaker SPEAKER_08
transcript.pyannote[1248].start 7188.74721875
transcript.pyannote[1248].end 7220.59034375
transcript.pyannote[1249].speaker SPEAKER_17
transcript.pyannote[1249].start 7208.72721875
transcript.pyannote[1249].end 7209.79034375
transcript.pyannote[1250].speaker SPEAKER_00
transcript.pyannote[1250].start 7211.34284375
transcript.pyannote[1250].end 7211.44409375
transcript.pyannote[1251].speaker SPEAKER_17
transcript.pyannote[1251].start 7211.44409375
transcript.pyannote[1251].end 7211.61284375
transcript.pyannote[1252].speaker SPEAKER_04
transcript.pyannote[1252].start 7211.61284375
transcript.pyannote[1252].end 7212.94596875
transcript.pyannote[1253].speaker SPEAKER_17
transcript.pyannote[1253].start 7212.94596875
transcript.pyannote[1253].end 7213.04721875
transcript.pyannote[1254].speaker SPEAKER_02
transcript.pyannote[1254].start 7220.59034375
transcript.pyannote[1254].end 7229.63534375
transcript.pyannote[1255].speaker SPEAKER_08
transcript.pyannote[1255].start 7230.00659375
transcript.pyannote[1255].end 7242.94971875
transcript.pyannote[1256].speaker SPEAKER_08
transcript.pyannote[1256].start 7243.21971875
transcript.pyannote[1256].end 7271.06346875
transcript.pyannote[1257].speaker SPEAKER_08
transcript.pyannote[1257].start 7271.45159375
transcript.pyannote[1257].end 7271.80596875
transcript.pyannote[1258].speaker SPEAKER_08
transcript.pyannote[1258].start 7272.26159375
transcript.pyannote[1258].end 7282.26846875
transcript.pyannote[1259].speaker SPEAKER_08
transcript.pyannote[1259].start 7282.53846875
transcript.pyannote[1259].end 7299.41346875
transcript.pyannote[1260].speaker SPEAKER_08
transcript.pyannote[1260].start 7299.93659375
transcript.pyannote[1260].end 7303.10909375
transcript.pyannote[1261].speaker SPEAKER_08
transcript.pyannote[1261].start 7303.34534375
transcript.pyannote[1261].end 7306.43346875
transcript.pyannote[1262].speaker SPEAKER_08
transcript.pyannote[1262].start 7307.27721875
transcript.pyannote[1262].end 7309.30221875
transcript.pyannote[1263].speaker SPEAKER_08
transcript.pyannote[1263].start 7309.72409375
transcript.pyannote[1263].end 7378.37159375
transcript.pyannote[1264].speaker SPEAKER_08
transcript.pyannote[1264].start 7378.77659375
transcript.pyannote[1264].end 7381.17284375
transcript.pyannote[1265].speaker SPEAKER_08
transcript.pyannote[1265].start 7381.49346875
transcript.pyannote[1265].end 7393.62659375
transcript.pyannote[1266].speaker SPEAKER_08
transcript.pyannote[1266].start 7393.64346875
transcript.pyannote[1266].end 7399.46534375
transcript.pyannote[1267].speaker SPEAKER_08
transcript.pyannote[1267].start 7399.80284375
transcript.pyannote[1267].end 7402.41846875
transcript.pyannote[1268].speaker SPEAKER_08
transcript.pyannote[1268].start 7402.48596875
transcript.pyannote[1268].end 7405.18596875
transcript.pyannote[1269].speaker SPEAKER_08
transcript.pyannote[1269].start 7405.67534375
transcript.pyannote[1269].end 7407.44721875
transcript.pyannote[1270].speaker SPEAKER_02
transcript.pyannote[1270].start 7407.80159375
transcript.pyannote[1270].end 7418.16284375
transcript.pyannote[1271].speaker SPEAKER_02
transcript.pyannote[1271].start 7418.33159375
transcript.pyannote[1271].end 7432.86096875
transcript.pyannote[1272].speaker SPEAKER_08
transcript.pyannote[1272].start 7433.60346875
transcript.pyannote[1272].end 7440.48846875
transcript.pyannote[1273].speaker SPEAKER_08
transcript.pyannote[1273].start 7441.14659375
transcript.pyannote[1273].end 7443.71159375
transcript.pyannote[1274].speaker SPEAKER_08
transcript.pyannote[1274].start 7443.88034375
transcript.pyannote[1274].end 7494.87659375
transcript.pyannote[1275].speaker SPEAKER_08
transcript.pyannote[1275].start 7495.21409375
transcript.pyannote[1275].end 7498.90971875
transcript.pyannote[1276].speaker SPEAKER_02
transcript.pyannote[1276].start 7499.19659375
transcript.pyannote[1276].end 7504.88346875
transcript.pyannote[1277].speaker SPEAKER_08
transcript.pyannote[1277].start 7503.39846875
transcript.pyannote[1277].end 7504.42784375
transcript.pyannote[1278].speaker SPEAKER_08
transcript.pyannote[1278].start 7505.01846875
transcript.pyannote[1278].end 7511.88659375
transcript.pyannote[1279].speaker SPEAKER_02
transcript.pyannote[1279].start 7507.73534375
transcript.pyannote[1279].end 7509.35534375
transcript.pyannote[1280].speaker SPEAKER_19
transcript.pyannote[1280].start 7511.88659375
transcript.pyannote[1280].end 7519.71659375
transcript.pyannote[1281].speaker SPEAKER_08
transcript.pyannote[1281].start 7519.86846875
transcript.pyannote[1281].end 7521.57284375
transcript.pyannote[1282].speaker SPEAKER_08
transcript.pyannote[1282].start 7521.79221875
transcript.pyannote[1282].end 7525.36971875
transcript.pyannote[1283].speaker SPEAKER_19
transcript.pyannote[1283].start 7524.86346875
transcript.pyannote[1283].end 7525.31909375
transcript.pyannote[1284].speaker SPEAKER_19
transcript.pyannote[1284].start 7525.36971875
transcript.pyannote[1284].end 7526.16284375
transcript.pyannote[1285].speaker SPEAKER_08
transcript.pyannote[1285].start 7526.66909375
transcript.pyannote[1285].end 7529.87534375
transcript.pyannote[1286].speaker SPEAKER_02
transcript.pyannote[1286].start 7530.98909375
transcript.pyannote[1286].end 7531.00596875
transcript.pyannote[1287].speaker SPEAKER_08
transcript.pyannote[1287].start 7531.00596875
transcript.pyannote[1287].end 7531.63034375
transcript.pyannote[1288].speaker SPEAKER_08
transcript.pyannote[1288].start 7532.11971875
transcript.pyannote[1288].end 7543.52721875
transcript.pyannote[1289].speaker SPEAKER_01
transcript.pyannote[1289].start 7532.13659375
transcript.pyannote[1289].end 7532.92971875
transcript.pyannote[1290].speaker SPEAKER_19
transcript.pyannote[1290].start 7532.92971875
transcript.pyannote[1290].end 7533.13221875
transcript.pyannote[1291].speaker SPEAKER_19
transcript.pyannote[1291].start 7535.41034375
transcript.pyannote[1291].end 7536.30471875
transcript.pyannote[1292].speaker SPEAKER_19
transcript.pyannote[1292].start 7536.69284375
transcript.pyannote[1292].end 7537.53659375
transcript.pyannote[1293].speaker SPEAKER_08
transcript.pyannote[1293].start 7544.01659375
transcript.pyannote[1293].end 7544.43846875
transcript.pyannote[1294].speaker SPEAKER_08
transcript.pyannote[1294].start 7545.09659375
transcript.pyannote[1294].end 7545.36659375
transcript.pyannote[1295].speaker SPEAKER_08
transcript.pyannote[1295].start 7545.58596875
transcript.pyannote[1295].end 7548.37034375
transcript.pyannote[1296].speaker SPEAKER_19
transcript.pyannote[1296].start 7545.75471875
transcript.pyannote[1296].end 7547.66159375
transcript.pyannote[1297].speaker SPEAKER_02
transcript.pyannote[1297].start 7547.66159375
transcript.pyannote[1297].end 7552.55534375
transcript.pyannote[1298].speaker SPEAKER_08
transcript.pyannote[1298].start 7551.82971875
transcript.pyannote[1298].end 7553.16284375
transcript.pyannote[1299].speaker SPEAKER_19
transcript.pyannote[1299].start 7553.16284375
transcript.pyannote[1299].end 7553.21346875
transcript.pyannote[1300].speaker SPEAKER_08
transcript.pyannote[1300].start 7553.21346875
transcript.pyannote[1300].end 7553.23034375
transcript.pyannote[1301].speaker SPEAKER_19
transcript.pyannote[1301].start 7553.23034375
transcript.pyannote[1301].end 7553.26409375
transcript.pyannote[1302].speaker SPEAKER_02
transcript.pyannote[1302].start 7553.26409375
transcript.pyannote[1302].end 7555.87971875
transcript.pyannote[1303].speaker SPEAKER_19
transcript.pyannote[1303].start 7555.15409375
transcript.pyannote[1303].end 7556.06534375
transcript.pyannote[1304].speaker SPEAKER_19
transcript.pyannote[1304].start 7556.21721875
transcript.pyannote[1304].end 7560.48659375
transcript.pyannote[1305].speaker SPEAKER_11
transcript.pyannote[1305].start 7565.97096875
transcript.pyannote[1305].end 7568.40096875
transcript.pyannote[1306].speaker SPEAKER_11
transcript.pyannote[1306].start 7568.95784375
transcript.pyannote[1306].end 7569.78471875
transcript.pyannote[1307].speaker SPEAKER_11
transcript.pyannote[1307].start 7570.47659375
transcript.pyannote[1307].end 7575.37034375
transcript.pyannote[1308].speaker SPEAKER_11
transcript.pyannote[1308].start 8249.50971875
transcript.pyannote[1308].end 8253.28971875
transcript.pyannote[1309].speaker SPEAKER_20
transcript.pyannote[1309].start 8258.92596875
transcript.pyannote[1309].end 8261.72721875
transcript.pyannote[1310].speaker SPEAKER_11
transcript.pyannote[1310].start 8262.21659375
transcript.pyannote[1310].end 8263.38096875
transcript.pyannote[1311].speaker SPEAKER_19
transcript.pyannote[1311].start 8272.37534375
transcript.pyannote[1311].end 8272.98284375
transcript.pyannote[1312].speaker SPEAKER_20
transcript.pyannote[1312].start 8273.42159375
transcript.pyannote[1312].end 8274.04596875
transcript.pyannote[1313].speaker SPEAKER_20
transcript.pyannote[1313].start 8274.29909375
transcript.pyannote[1313].end 8277.31971875
transcript.pyannote[1314].speaker SPEAKER_19
transcript.pyannote[1314].start 8278.45034375
transcript.pyannote[1314].end 8280.25596875
transcript.pyannote[1315].speaker SPEAKER_19
transcript.pyannote[1315].start 8280.49221875
transcript.pyannote[1315].end 8282.04471875
transcript.pyannote[1316].speaker SPEAKER_20
transcript.pyannote[1316].start 8282.51721875
transcript.pyannote[1316].end 8283.34409375
transcript.pyannote[1317].speaker SPEAKER_19
transcript.pyannote[1317].start 8283.14159375
transcript.pyannote[1317].end 8283.63096875
transcript.pyannote[1318].speaker SPEAKER_20
transcript.pyannote[1318].start 8283.64784375
transcript.pyannote[1318].end 8283.66471875
transcript.pyannote[1319].speaker SPEAKER_20
transcript.pyannote[1319].start 8283.71534375
transcript.pyannote[1319].end 8286.06096875
transcript.pyannote[1320].speaker SPEAKER_19
transcript.pyannote[1320].start 8286.49971875
transcript.pyannote[1320].end 8291.25846875
transcript.pyannote[1321].speaker SPEAKER_20
transcript.pyannote[1321].start 8289.75659375
transcript.pyannote[1321].end 8291.74784375
transcript.pyannote[1322].speaker SPEAKER_19
transcript.pyannote[1322].start 8291.74784375
transcript.pyannote[1322].end 8292.64221875
transcript.pyannote[1323].speaker SPEAKER_20
transcript.pyannote[1323].start 8293.01346875
transcript.pyannote[1323].end 8300.42159375
transcript.pyannote[1324].speaker SPEAKER_20
transcript.pyannote[1324].start 8301.04596875
transcript.pyannote[1324].end 8309.93909375
transcript.pyannote[1325].speaker SPEAKER_20
transcript.pyannote[1325].start 8310.20909375
transcript.pyannote[1325].end 8319.64221875
transcript.pyannote[1326].speaker SPEAKER_17
transcript.pyannote[1326].start 8312.18346875
transcript.pyannote[1326].end 8312.35221875
transcript.pyannote[1327].speaker SPEAKER_20
transcript.pyannote[1327].start 8320.23284375
transcript.pyannote[1327].end 8323.96221875
transcript.pyannote[1328].speaker SPEAKER_20
transcript.pyannote[1328].start 8324.31659375
transcript.pyannote[1328].end 8332.48409375
transcript.pyannote[1329].speaker SPEAKER_19
transcript.pyannote[1329].start 8333.78346875
transcript.pyannote[1329].end 8335.18409375
transcript.pyannote[1330].speaker SPEAKER_19
transcript.pyannote[1330].start 8335.45409375
transcript.pyannote[1330].end 8339.28471875
transcript.pyannote[1331].speaker SPEAKER_19
transcript.pyannote[1331].start 8339.63909375
transcript.pyannote[1331].end 8345.74784375
transcript.pyannote[1332].speaker SPEAKER_20
transcript.pyannote[1332].start 8344.63409375
transcript.pyannote[1332].end 8345.24159375
transcript.pyannote[1333].speaker SPEAKER_20
transcript.pyannote[1333].start 8345.66346875
transcript.pyannote[1333].end 8349.05534375
transcript.pyannote[1334].speaker SPEAKER_20
transcript.pyannote[1334].start 8349.32534375
transcript.pyannote[1334].end 8351.02971875
transcript.pyannote[1335].speaker SPEAKER_20
transcript.pyannote[1335].start 8351.43471875
transcript.pyannote[1335].end 8353.81409375
transcript.pyannote[1336].speaker SPEAKER_20
transcript.pyannote[1336].start 8354.11784375
transcript.pyannote[1336].end 8364.73221875
transcript.pyannote[1337].speaker SPEAKER_20
transcript.pyannote[1337].start 8365.22159375
transcript.pyannote[1337].end 8366.65596875
transcript.pyannote[1338].speaker SPEAKER_20
transcript.pyannote[1338].start 8366.89221875
transcript.pyannote[1338].end 8372.95034375
transcript.pyannote[1339].speaker SPEAKER_20
transcript.pyannote[1339].start 8373.20346875
transcript.pyannote[1339].end 8435.23596875
transcript.pyannote[1340].speaker SPEAKER_20
transcript.pyannote[1340].start 8435.72534375
transcript.pyannote[1340].end 8448.93846875
transcript.pyannote[1341].speaker SPEAKER_19
transcript.pyannote[1341].start 8449.14096875
transcript.pyannote[1341].end 8449.74846875
transcript.pyannote[1342].speaker SPEAKER_20
transcript.pyannote[1342].start 8449.88346875
transcript.pyannote[1342].end 8450.98034375
transcript.pyannote[1343].speaker SPEAKER_19
transcript.pyannote[1343].start 8450.62596875
transcript.pyannote[1343].end 8453.08971875
transcript.pyannote[1344].speaker SPEAKER_20
transcript.pyannote[1344].start 8451.77346875
transcript.pyannote[1344].end 8452.07721875
transcript.pyannote[1345].speaker SPEAKER_20
transcript.pyannote[1345].start 8453.17409375
transcript.pyannote[1345].end 8455.67159375
transcript.pyannote[1346].speaker SPEAKER_19
transcript.pyannote[1346].start 8455.55346875
transcript.pyannote[1346].end 8456.24534375
transcript.pyannote[1347].speaker SPEAKER_20
transcript.pyannote[1347].start 8456.29596875
transcript.pyannote[1347].end 8457.29159375
transcript.pyannote[1348].speaker SPEAKER_19
transcript.pyannote[1348].start 8457.19034375
transcript.pyannote[1348].end 8457.91596875
transcript.pyannote[1349].speaker SPEAKER_20
transcript.pyannote[1349].start 8458.06784375
transcript.pyannote[1349].end 8459.26596875
transcript.pyannote[1350].speaker SPEAKER_20
transcript.pyannote[1350].start 8459.46846875
transcript.pyannote[1350].end 8493.42096875
transcript.pyannote[1351].speaker SPEAKER_20
transcript.pyannote[1351].start 8493.65721875
transcript.pyannote[1351].end 8510.44784375
transcript.pyannote[1352].speaker SPEAKER_20
transcript.pyannote[1352].start 8510.95409375
transcript.pyannote[1352].end 8513.90721875
transcript.pyannote[1353].speaker SPEAKER_20
transcript.pyannote[1353].start 8514.22784375
transcript.pyannote[1353].end 8516.97846875
transcript.pyannote[1354].speaker SPEAKER_02
transcript.pyannote[1354].start 8515.02096875
transcript.pyannote[1354].end 8515.10534375
transcript.pyannote[1355].speaker SPEAKER_17
transcript.pyannote[1355].start 8515.56096875
transcript.pyannote[1355].end 8515.57784375
transcript.pyannote[1356].speaker SPEAKER_02
transcript.pyannote[1356].start 8515.57784375
transcript.pyannote[1356].end 8516.48909375
transcript.pyannote[1357].speaker SPEAKER_02
transcript.pyannote[1357].start 8516.97846875
transcript.pyannote[1357].end 8531.25471875
transcript.pyannote[1358].speaker SPEAKER_02
transcript.pyannote[1358].start 8531.94659375
transcript.pyannote[1358].end 8563.90784375
transcript.pyannote[1359].speaker SPEAKER_20
transcript.pyannote[1359].start 8559.33471875
transcript.pyannote[1359].end 8559.57096875
transcript.pyannote[1360].speaker SPEAKER_20
transcript.pyannote[1360].start 8560.95471875
transcript.pyannote[1360].end 8561.59596875
transcript.pyannote[1361].speaker SPEAKER_20
transcript.pyannote[1361].start 8562.15284375
transcript.pyannote[1361].end 8562.54096875
transcript.pyannote[1362].speaker SPEAKER_20
transcript.pyannote[1362].start 8562.69284375
transcript.pyannote[1362].end 8563.89096875
transcript.pyannote[1363].speaker SPEAKER_20
transcript.pyannote[1363].start 8563.90784375
transcript.pyannote[1363].end 8566.48971875
transcript.pyannote[1364].speaker SPEAKER_20
transcript.pyannote[1364].start 8566.69221875
transcript.pyannote[1364].end 8574.33659375
transcript.pyannote[1365].speaker SPEAKER_00
transcript.pyannote[1365].start 8572.37909375
transcript.pyannote[1365].end 8572.81784375
transcript.pyannote[1366].speaker SPEAKER_20
transcript.pyannote[1366].start 8574.91034375
transcript.pyannote[1366].end 8579.53409375
transcript.pyannote[1367].speaker SPEAKER_20
transcript.pyannote[1367].start 8580.07409375
transcript.pyannote[1367].end 8607.20909375
transcript.pyannote[1368].speaker SPEAKER_04
transcript.pyannote[1368].start 8602.31534375
transcript.pyannote[1368].end 8602.33221875
transcript.pyannote[1369].speaker SPEAKER_17
transcript.pyannote[1369].start 8602.33221875
transcript.pyannote[1369].end 8602.38284375
transcript.pyannote[1370].speaker SPEAKER_04
transcript.pyannote[1370].start 8602.38284375
transcript.pyannote[1370].end 8602.39971875
transcript.pyannote[1371].speaker SPEAKER_20
transcript.pyannote[1371].start 8607.81659375
transcript.pyannote[1371].end 8622.36284375
transcript.pyannote[1372].speaker SPEAKER_20
transcript.pyannote[1372].start 8622.54846875
transcript.pyannote[1372].end 8631.57659375
transcript.pyannote[1373].speaker SPEAKER_20
transcript.pyannote[1373].start 8632.23471875
transcript.pyannote[1373].end 8639.62596875
transcript.pyannote[1374].speaker SPEAKER_20
transcript.pyannote[1374].start 8639.89596875
transcript.pyannote[1374].end 8655.60659375
transcript.pyannote[1375].speaker SPEAKER_17
transcript.pyannote[1375].start 8643.57471875
transcript.pyannote[1375].end 8643.62534375
transcript.pyannote[1376].speaker SPEAKER_17
transcript.pyannote[1376].start 8643.69284375
transcript.pyannote[1376].end 8643.70971875
transcript.pyannote[1377].speaker SPEAKER_20
transcript.pyannote[1377].start 8656.21409375
transcript.pyannote[1377].end 8684.56409375
transcript.pyannote[1378].speaker SPEAKER_02
transcript.pyannote[1378].start 8684.56409375
transcript.pyannote[1378].end 8693.94659375
transcript.pyannote[1379].speaker SPEAKER_02
transcript.pyannote[1379].start 8694.08159375
transcript.pyannote[1379].end 8701.60784375
transcript.pyannote[1380].speaker SPEAKER_02
transcript.pyannote[1380].start 8701.69221875
transcript.pyannote[1380].end 8756.45159375
transcript.pyannote[1381].speaker SPEAKER_20
transcript.pyannote[1381].start 8756.45159375
transcript.pyannote[1381].end 8766.74534375
transcript.pyannote[1382].speaker SPEAKER_02
transcript.pyannote[1382].start 8756.67096875
transcript.pyannote[1382].end 8757.66659375
transcript.pyannote[1383].speaker SPEAKER_20
transcript.pyannote[1383].start 8767.38659375
transcript.pyannote[1383].end 8774.01846875
transcript.pyannote[1384].speaker SPEAKER_24
transcript.pyannote[1384].start 8772.56721875
transcript.pyannote[1384].end 8772.97221875
transcript.pyannote[1385].speaker SPEAKER_19
transcript.pyannote[1385].start 8772.97221875
transcript.pyannote[1385].end 8773.27596875
transcript.pyannote[1386].speaker SPEAKER_19
transcript.pyannote[1386].start 8774.11971875
transcript.pyannote[1386].end 8778.89534375
transcript.pyannote[1387].speaker SPEAKER_20
transcript.pyannote[1387].start 8774.54159375
transcript.pyannote[1387].end 8774.76096875
transcript.pyannote[1388].speaker SPEAKER_20
transcript.pyannote[1388].start 8775.06471875
transcript.pyannote[1388].end 8775.31784375
transcript.pyannote[1389].speaker SPEAKER_19
transcript.pyannote[1389].start 8779.31721875
transcript.pyannote[1389].end 8786.57346875
transcript.pyannote[1390].speaker SPEAKER_24
transcript.pyannote[1390].start 8781.67971875
transcript.pyannote[1390].end 8781.74721875
transcript.pyannote[1391].speaker SPEAKER_00
transcript.pyannote[1391].start 8784.59909375
transcript.pyannote[1391].end 8784.83534375
transcript.pyannote[1392].speaker SPEAKER_19
transcript.pyannote[1392].start 8786.64096875
transcript.pyannote[1392].end 8788.17659375
transcript.pyannote[1393].speaker SPEAKER_19
transcript.pyannote[1393].start 8788.54784375
transcript.pyannote[1393].end 8790.84284375
transcript.pyannote[1394].speaker SPEAKER_19
transcript.pyannote[1394].start 8791.14659375
transcript.pyannote[1394].end 8794.01534375
transcript.pyannote[1395].speaker SPEAKER_19
transcript.pyannote[1395].start 8794.16721875
transcript.pyannote[1395].end 8796.17534375
transcript.pyannote[1396].speaker SPEAKER_19
transcript.pyannote[1396].start 8796.47909375
transcript.pyannote[1396].end 8798.33534375
transcript.pyannote[1397].speaker SPEAKER_19
transcript.pyannote[1397].start 8798.47034375
transcript.pyannote[1397].end 8799.65159375
transcript.pyannote[1398].speaker SPEAKER_19
transcript.pyannote[1398].start 8799.90471875
transcript.pyannote[1398].end 8804.32596875
transcript.pyannote[1399].speaker SPEAKER_19
transcript.pyannote[1399].start 8804.69721875
transcript.pyannote[1399].end 8810.08034375
transcript.pyannote[1400].speaker SPEAKER_20
transcript.pyannote[1400].start 8810.51909375
transcript.pyannote[1400].end 8822.97284375
transcript.pyannote[1401].speaker SPEAKER_20
transcript.pyannote[1401].start 8823.14159375
transcript.pyannote[1401].end 8827.20846875
transcript.pyannote[1402].speaker SPEAKER_02
transcript.pyannote[1402].start 8827.20846875
transcript.pyannote[1402].end 8837.60346875
transcript.pyannote[1403].speaker SPEAKER_20
transcript.pyannote[1403].start 8837.89034375
transcript.pyannote[1403].end 8841.45096875
transcript.pyannote[1404].speaker SPEAKER_02
transcript.pyannote[1404].start 8840.59034375
transcript.pyannote[1404].end 8843.79659375
transcript.pyannote[1405].speaker SPEAKER_02
transcript.pyannote[1405].start 8843.89784375
transcript.pyannote[1405].end 8844.64034375
transcript.pyannote[1406].speaker SPEAKER_20
transcript.pyannote[1406].start 8843.98221875
transcript.pyannote[1406].end 8860.97534375
transcript.pyannote[1407].speaker SPEAKER_02
transcript.pyannote[1407].start 8860.97534375
transcript.pyannote[1407].end 8864.77221875
transcript.pyannote[1408].speaker SPEAKER_02
transcript.pyannote[1408].start 8865.29534375
transcript.pyannote[1408].end 8866.05471875
transcript.pyannote[1409].speaker SPEAKER_20
transcript.pyannote[1409].start 8866.05471875
transcript.pyannote[1409].end 8866.07159375
transcript.pyannote[1410].speaker SPEAKER_02
transcript.pyannote[1410].start 8866.07159375
transcript.pyannote[1410].end 8866.12221875
transcript.pyannote[1411].speaker SPEAKER_20
transcript.pyannote[1411].start 8866.12221875
transcript.pyannote[1411].end 8866.13909375
transcript.pyannote[1412].speaker SPEAKER_20
transcript.pyannote[1412].start 8866.76346875
transcript.pyannote[1412].end 8868.56909375
transcript.pyannote[1413].speaker SPEAKER_20
transcript.pyannote[1413].start 8868.85596875
transcript.pyannote[1413].end 8874.54284375
transcript.pyannote[1414].speaker SPEAKER_20
transcript.pyannote[1414].start 8874.67784375
transcript.pyannote[1414].end 8888.97096875
transcript.pyannote[1415].speaker SPEAKER_02
transcript.pyannote[1415].start 8884.34721875
transcript.pyannote[1415].end 8884.61721875
transcript.pyannote[1416].speaker SPEAKER_02
transcript.pyannote[1416].start 8888.97096875
transcript.pyannote[1416].end 8901.50909375
transcript.pyannote[1417].speaker SPEAKER_20
transcript.pyannote[1417].start 8896.07534375
transcript.pyannote[1417].end 8897.50971875
transcript.pyannote[1418].speaker SPEAKER_20
transcript.pyannote[1418].start 8899.55159375
transcript.pyannote[1418].end 8901.64409375
transcript.pyannote[1419].speaker SPEAKER_20
transcript.pyannote[1419].start 8901.96471875
transcript.pyannote[1419].end 8907.49971875
transcript.pyannote[1420].speaker SPEAKER_20
transcript.pyannote[1420].start 8907.58409375
transcript.pyannote[1420].end 8911.87034375
transcript.pyannote[1421].speaker SPEAKER_20
transcript.pyannote[1421].start 8912.19096875
transcript.pyannote[1421].end 8914.75596875
transcript.pyannote[1422].speaker SPEAKER_20
transcript.pyannote[1422].start 8915.00909375
transcript.pyannote[1422].end 8944.50659375
transcript.pyannote[1423].speaker SPEAKER_20
transcript.pyannote[1423].start 8944.52346875
transcript.pyannote[1423].end 8949.29909375
transcript.pyannote[1424].speaker SPEAKER_20
transcript.pyannote[1424].start 8949.56909375
transcript.pyannote[1424].end 8959.98096875
transcript.pyannote[1425].speaker SPEAKER_20
transcript.pyannote[1425].start 8960.47034375
transcript.pyannote[1425].end 8964.94221875
transcript.pyannote[1426].speaker SPEAKER_19
transcript.pyannote[1426].start 8965.51596875
transcript.pyannote[1426].end 8967.62534375
transcript.pyannote[1427].speaker SPEAKER_19
transcript.pyannote[1427].start 8968.36784375
transcript.pyannote[1427].end 8971.27034375
transcript.pyannote[1428].speaker SPEAKER_19
transcript.pyannote[1428].start 8971.43909375
transcript.pyannote[1428].end 8972.83971875
transcript.pyannote[1429].speaker SPEAKER_19
transcript.pyannote[1429].start 8973.17721875
transcript.pyannote[1429].end 8975.42159375
transcript.pyannote[1430].speaker SPEAKER_19
transcript.pyannote[1430].start 8975.80971875
transcript.pyannote[1430].end 8976.45096875
transcript.pyannote[1431].speaker SPEAKER_19
transcript.pyannote[1431].start 8976.94034375
transcript.pyannote[1431].end 8978.23971875
transcript.pyannote[1432].speaker SPEAKER_19
transcript.pyannote[1432].start 8978.39159375
transcript.pyannote[1432].end 8993.74784375
transcript.pyannote[1433].speaker SPEAKER_19
transcript.pyannote[1433].start 8994.11909375
transcript.pyannote[1433].end 8995.92471875
transcript.pyannote[1434].speaker SPEAKER_19
transcript.pyannote[1434].start 8996.36346875
transcript.pyannote[1434].end 9003.90659375
transcript.pyannote[1435].speaker SPEAKER_20
transcript.pyannote[1435].start 9004.10909375
transcript.pyannote[1435].end 9004.51409375
transcript.pyannote[1436].speaker SPEAKER_20
transcript.pyannote[1436].start 9004.66596875
transcript.pyannote[1436].end 9013.22159375
transcript.pyannote[1437].speaker SPEAKER_20
transcript.pyannote[1437].start 9013.57596875
transcript.pyannote[1437].end 9021.05159375
transcript.pyannote[1438].speaker SPEAKER_20
transcript.pyannote[1438].start 9021.25409375
transcript.pyannote[1438].end 9029.97846875
transcript.pyannote[1439].speaker SPEAKER_02
transcript.pyannote[1439].start 9029.97846875
transcript.pyannote[1439].end 9039.31034375
transcript.pyannote[1440].speaker SPEAKER_20
transcript.pyannote[1440].start 9039.31034375
transcript.pyannote[1440].end 9039.54659375
transcript.pyannote[1441].speaker SPEAKER_02
transcript.pyannote[1441].start 9039.54659375
transcript.pyannote[1441].end 9040.08659375
transcript.pyannote[1442].speaker SPEAKER_20
transcript.pyannote[1442].start 9039.58034375
transcript.pyannote[1442].end 9040.25534375
transcript.pyannote[1443].speaker SPEAKER_02
transcript.pyannote[1443].start 9040.32284375
transcript.pyannote[1443].end 9042.46596875
transcript.pyannote[1444].speaker SPEAKER_20
transcript.pyannote[1444].start 9040.96409375
transcript.pyannote[1444].end 9057.02909375
transcript.pyannote[1445].speaker SPEAKER_02
transcript.pyannote[1445].start 9045.94221875
transcript.pyannote[1445].end 9047.29221875
transcript.pyannote[1446].speaker SPEAKER_00
transcript.pyannote[1446].start 9055.71284375
transcript.pyannote[1446].end 9056.26971875
transcript.pyannote[1447].speaker SPEAKER_20
transcript.pyannote[1447].start 9057.14721875
transcript.pyannote[1447].end 9072.60471875
transcript.pyannote[1448].speaker SPEAKER_00
transcript.pyannote[1448].start 9057.56909375
transcript.pyannote[1448].end 9057.80534375
transcript.pyannote[1449].speaker SPEAKER_19
transcript.pyannote[1449].start 9072.90846875
transcript.pyannote[1449].end 9073.68471875
transcript.pyannote[1450].speaker SPEAKER_20
transcript.pyannote[1450].start 9073.68471875
transcript.pyannote[1450].end 9108.02534375
transcript.pyannote[1451].speaker SPEAKER_20
transcript.pyannote[1451].start 9108.39659375
transcript.pyannote[1451].end 9109.03784375
transcript.pyannote[1452].speaker SPEAKER_20
transcript.pyannote[1452].start 9109.05471875
transcript.pyannote[1452].end 9109.96596875
transcript.pyannote[1453].speaker SPEAKER_02
transcript.pyannote[1453].start 9109.96596875
transcript.pyannote[1453].end 9115.65284375
transcript.pyannote[1454].speaker SPEAKER_02
transcript.pyannote[1454].start 9115.93971875
transcript.pyannote[1454].end 9160.20284375
transcript.pyannote[1455].speaker SPEAKER_04
transcript.pyannote[1455].start 9143.44596875
transcript.pyannote[1455].end 9144.99846875
transcript.pyannote[1456].speaker SPEAKER_00
transcript.pyannote[1456].start 9144.99846875
transcript.pyannote[1456].end 9145.01534375
transcript.pyannote[1457].speaker SPEAKER_20
transcript.pyannote[1457].start 9158.24534375
transcript.pyannote[1457].end 9162.29534375
transcript.pyannote[1458].speaker SPEAKER_02
transcript.pyannote[1458].start 9162.29534375
transcript.pyannote[1458].end 9162.37971875
transcript.pyannote[1459].speaker SPEAKER_20
transcript.pyannote[1459].start 9162.37971875
transcript.pyannote[1459].end 9162.43034375
transcript.pyannote[1460].speaker SPEAKER_02
transcript.pyannote[1460].start 9162.43034375
transcript.pyannote[1460].end 9162.44721875
transcript.pyannote[1461].speaker SPEAKER_20
transcript.pyannote[1461].start 9162.44721875
transcript.pyannote[1461].end 9162.54846875
transcript.pyannote[1462].speaker SPEAKER_02
transcript.pyannote[1462].start 9162.46409375
transcript.pyannote[1462].end 9162.66659375
transcript.pyannote[1463].speaker SPEAKER_20
transcript.pyannote[1463].start 9162.66659375
transcript.pyannote[1463].end 9162.78471875
transcript.pyannote[1464].speaker SPEAKER_02
transcript.pyannote[1464].start 9162.70034375
transcript.pyannote[1464].end 9162.76784375
transcript.pyannote[1465].speaker SPEAKER_02
transcript.pyannote[1465].start 9162.78471875
transcript.pyannote[1465].end 9162.97034375
transcript.pyannote[1466].speaker SPEAKER_20
transcript.pyannote[1466].start 9162.97034375
transcript.pyannote[1466].end 9182.35971875
transcript.pyannote[1467].speaker SPEAKER_02
transcript.pyannote[1467].start 9163.02096875
transcript.pyannote[1467].end 9163.88159375
transcript.pyannote[1468].speaker SPEAKER_00
transcript.pyannote[1468].start 9167.29034375
transcript.pyannote[1468].end 9167.30721875
transcript.pyannote[1469].speaker SPEAKER_02
transcript.pyannote[1469].start 9167.30721875
transcript.pyannote[1469].end 9167.88096875
transcript.pyannote[1470].speaker SPEAKER_02
transcript.pyannote[1470].start 9169.14659375
transcript.pyannote[1470].end 9169.19721875
transcript.pyannote[1471].speaker SPEAKER_00
transcript.pyannote[1471].start 9169.19721875
transcript.pyannote[1471].end 9169.24784375
transcript.pyannote[1472].speaker SPEAKER_20
transcript.pyannote[1472].start 9182.83221875
transcript.pyannote[1472].end 9186.84846875
transcript.pyannote[1473].speaker SPEAKER_20
transcript.pyannote[1473].start 9187.10159375
transcript.pyannote[1473].end 9191.94471875
transcript.pyannote[1474].speaker SPEAKER_20
transcript.pyannote[1474].start 9192.14721875
transcript.pyannote[1474].end 9194.32409375
transcript.pyannote[1475].speaker SPEAKER_20
transcript.pyannote[1475].start 9194.62784375
transcript.pyannote[1475].end 9209.83221875
transcript.pyannote[1476].speaker SPEAKER_20
transcript.pyannote[1476].start 9210.33846875
transcript.pyannote[1476].end 9212.04284375
transcript.pyannote[1477].speaker SPEAKER_20
transcript.pyannote[1477].start 9212.26221875
transcript.pyannote[1477].end 9227.85471875
transcript.pyannote[1478].speaker SPEAKER_20
transcript.pyannote[1478].start 9228.32721875
transcript.pyannote[1478].end 9232.78221875
transcript.pyannote[1479].speaker SPEAKER_20
transcript.pyannote[1479].start 9233.67659375
transcript.pyannote[1479].end 9236.86596875
transcript.pyannote[1480].speaker SPEAKER_20
transcript.pyannote[1480].start 9237.11909375
transcript.pyannote[1480].end 9237.74346875
transcript.pyannote[1481].speaker SPEAKER_20
transcript.pyannote[1481].start 9238.33409375
transcript.pyannote[1481].end 9250.04534375
transcript.pyannote[1482].speaker SPEAKER_20
transcript.pyannote[1482].start 9250.60221875
transcript.pyannote[1482].end 9258.92159375
transcript.pyannote[1483].speaker SPEAKER_20
transcript.pyannote[1483].start 9259.76534375
transcript.pyannote[1483].end 9261.85784375
transcript.pyannote[1484].speaker SPEAKER_20
transcript.pyannote[1484].start 9262.14471875
transcript.pyannote[1484].end 9265.63784375
transcript.pyannote[1485].speaker SPEAKER_20
transcript.pyannote[1485].start 9266.05971875
transcript.pyannote[1485].end 9269.82284375
transcript.pyannote[1486].speaker SPEAKER_20
transcript.pyannote[1486].start 9270.07596875
transcript.pyannote[1486].end 9270.80159375
transcript.pyannote[1487].speaker SPEAKER_20
transcript.pyannote[1487].start 9271.05471875
transcript.pyannote[1487].end 9278.10846875
transcript.pyannote[1488].speaker SPEAKER_20
transcript.pyannote[1488].start 9278.47971875
transcript.pyannote[1488].end 9292.03034375
transcript.pyannote[1489].speaker SPEAKER_20
transcript.pyannote[1489].start 9292.62096875
transcript.pyannote[1489].end 9294.78096875
transcript.pyannote[1490].speaker SPEAKER_20
transcript.pyannote[1490].start 9295.05096875
transcript.pyannote[1490].end 9296.02971875
transcript.pyannote[1491].speaker SPEAKER_20
transcript.pyannote[1491].start 9296.48534375
transcript.pyannote[1491].end 9304.11284375
transcript.pyannote[1492].speaker SPEAKER_20
transcript.pyannote[1492].start 9304.23096875
transcript.pyannote[1492].end 9309.76596875
transcript.pyannote[1493].speaker SPEAKER_20
transcript.pyannote[1493].start 9310.50846875
transcript.pyannote[1493].end 9311.90909375
transcript.pyannote[1494].speaker SPEAKER_20
transcript.pyannote[1494].start 9312.43221875
transcript.pyannote[1494].end 9313.41096875
transcript.pyannote[1495].speaker SPEAKER_20
transcript.pyannote[1495].start 9314.27159375
transcript.pyannote[1495].end 9315.43596875
transcript.pyannote[1496].speaker SPEAKER_20
transcript.pyannote[1496].start 9316.53284375
transcript.pyannote[1496].end 9318.20346875
transcript.pyannote[1497].speaker SPEAKER_19
transcript.pyannote[1497].start 9318.74346875
transcript.pyannote[1497].end 9320.14409375
transcript.pyannote[1498].speaker SPEAKER_19
transcript.pyannote[1498].start 9320.54909375
transcript.pyannote[1498].end 9322.67534375
transcript.pyannote[1499].speaker SPEAKER_19
transcript.pyannote[1499].start 9323.43471875
transcript.pyannote[1499].end 9328.34534375
transcript.pyannote[1500].speaker SPEAKER_19
transcript.pyannote[1500].start 9328.54784375
transcript.pyannote[1500].end 9329.91471875
transcript.pyannote[1501].speaker SPEAKER_19
transcript.pyannote[1501].start 9330.16784375
transcript.pyannote[1501].end 9330.99471875
transcript.pyannote[1502].speaker SPEAKER_19
transcript.pyannote[1502].start 9331.53471875
transcript.pyannote[1502].end 9333.93096875
transcript.pyannote[1503].speaker SPEAKER_19
transcript.pyannote[1503].start 9334.30221875
transcript.pyannote[1503].end 9335.71971875
transcript.pyannote[1504].speaker SPEAKER_19
transcript.pyannote[1504].start 9336.24284375
transcript.pyannote[1504].end 9337.42409375
transcript.pyannote[1505].speaker SPEAKER_19
transcript.pyannote[1505].start 9337.64346875
transcript.pyannote[1505].end 9339.17909375
transcript.pyannote[1506].speaker SPEAKER_19
transcript.pyannote[1506].start 9339.55034375
transcript.pyannote[1506].end 9341.15346875
transcript.pyannote[1507].speaker SPEAKER_19
transcript.pyannote[1507].start 9341.45721875
transcript.pyannote[1507].end 9342.08159375
transcript.pyannote[1508].speaker SPEAKER_19
transcript.pyannote[1508].start 9342.28409375
transcript.pyannote[1508].end 9349.06784375
transcript.pyannote[1509].speaker SPEAKER_20
transcript.pyannote[1509].start 9348.98346875
transcript.pyannote[1509].end 9349.32096875
transcript.pyannote[1510].speaker SPEAKER_19
transcript.pyannote[1510].start 9349.32096875
transcript.pyannote[1510].end 9350.16471875
transcript.pyannote[1511].speaker SPEAKER_20
transcript.pyannote[1511].start 9349.35471875
transcript.pyannote[1511].end 9350.75534375
transcript.pyannote[1512].speaker SPEAKER_19
transcript.pyannote[1512].start 9350.75534375
transcript.pyannote[1512].end 9351.02534375
transcript.pyannote[1513].speaker SPEAKER_20
transcript.pyannote[1513].start 9351.02534375
transcript.pyannote[1513].end 9377.55284375
transcript.pyannote[1514].speaker SPEAKER_19
transcript.pyannote[1514].start 9377.94096875
transcript.pyannote[1514].end 9382.46346875
transcript.pyannote[1515].speaker SPEAKER_20
transcript.pyannote[1515].start 9381.88971875
transcript.pyannote[1515].end 9382.27784375
transcript.pyannote[1516].speaker SPEAKER_20
transcript.pyannote[1516].start 9382.46346875
transcript.pyannote[1516].end 9382.59846875
transcript.pyannote[1517].speaker SPEAKER_19
transcript.pyannote[1517].start 9383.23971875
transcript.pyannote[1517].end 9388.63971875
transcript.pyannote[1518].speaker SPEAKER_19
transcript.pyannote[1518].start 9388.80846875
transcript.pyannote[1518].end 9390.51284375
transcript.pyannote[1519].speaker SPEAKER_19
transcript.pyannote[1519].start 9391.28909375
transcript.pyannote[1519].end 9395.65971875
transcript.pyannote[1520].speaker SPEAKER_19
transcript.pyannote[1520].start 9395.89596875
transcript.pyannote[1520].end 9398.61284375
transcript.pyannote[1521].speaker SPEAKER_19
transcript.pyannote[1521].start 9398.96721875
transcript.pyannote[1521].end 9403.64159375
transcript.pyannote[1522].speaker SPEAKER_19
transcript.pyannote[1522].start 9403.91159375
transcript.pyannote[1522].end 9405.46409375
transcript.pyannote[1523].speaker SPEAKER_19
transcript.pyannote[1523].start 9405.54846875
transcript.pyannote[1523].end 9411.84284375
transcript.pyannote[1524].speaker SPEAKER_20
transcript.pyannote[1524].start 9410.99909375
transcript.pyannote[1524].end 9412.45034375
transcript.pyannote[1525].speaker SPEAKER_20
transcript.pyannote[1525].start 9413.46284375
transcript.pyannote[1525].end 9438.57284375
transcript.pyannote[1526].speaker SPEAKER_20
transcript.pyannote[1526].start 9439.06221875
transcript.pyannote[1526].end 9451.22909375
transcript.pyannote[1527].speaker SPEAKER_00
transcript.pyannote[1527].start 9447.55034375
transcript.pyannote[1527].end 9448.07346875
transcript.pyannote[1528].speaker SPEAKER_20
transcript.pyannote[1528].start 9451.58346875
transcript.pyannote[1528].end 9493.75409375
transcript.pyannote[1529].speaker SPEAKER_22
transcript.pyannote[1529].start 9478.66784375
transcript.pyannote[1529].end 9479.44409375
transcript.pyannote[1530].speaker SPEAKER_20
transcript.pyannote[1530].start 9493.87221875
transcript.pyannote[1530].end 9498.61409375
transcript.pyannote[1531].speaker SPEAKER_20
transcript.pyannote[1531].start 9499.17096875
transcript.pyannote[1531].end 9500.74034375
transcript.pyannote[1532].speaker SPEAKER_20
transcript.pyannote[1532].start 9501.07784375
transcript.pyannote[1532].end 9502.00596875
transcript.pyannote[1533].speaker SPEAKER_20
transcript.pyannote[1533].start 9502.63034375
transcript.pyannote[1533].end 9516.56909375
transcript.pyannote[1534].speaker SPEAKER_19
transcript.pyannote[1534].start 9516.56909375
transcript.pyannote[1534].end 9534.64221875
transcript.pyannote[1535].speaker SPEAKER_20
transcript.pyannote[1535].start 9523.23471875
transcript.pyannote[1535].end 9524.61846875
transcript.pyannote[1536].speaker SPEAKER_20
transcript.pyannote[1536].start 9534.11909375
transcript.pyannote[1536].end 9534.38909375
transcript.pyannote[1537].speaker SPEAKER_20
transcript.pyannote[1537].start 9534.69284375
transcript.pyannote[1537].end 9538.40534375
transcript.pyannote[1538].speaker SPEAKER_20
transcript.pyannote[1538].start 9539.13096875
transcript.pyannote[1538].end 9539.94096875
transcript.pyannote[1539].speaker SPEAKER_20
transcript.pyannote[1539].start 9541.15596875
transcript.pyannote[1539].end 9542.25284375
transcript.pyannote[1540].speaker SPEAKER_20
transcript.pyannote[1540].start 9542.43846875
transcript.pyannote[1540].end 9543.61971875
transcript.pyannote[1541].speaker SPEAKER_20
transcript.pyannote[1541].start 9544.46346875
transcript.pyannote[1541].end 9547.02846875
transcript.pyannote[1542].speaker SPEAKER_20
transcript.pyannote[1542].start 9547.63596875
transcript.pyannote[1542].end 9555.14534375
transcript.pyannote[1543].speaker SPEAKER_20
transcript.pyannote[1543].start 9555.53346875
transcript.pyannote[1543].end 9562.30034375
transcript.pyannote[1544].speaker SPEAKER_20
transcript.pyannote[1544].start 9562.50284375
transcript.pyannote[1544].end 9566.80596875
transcript.pyannote[1545].speaker SPEAKER_20
transcript.pyannote[1545].start 9567.88596875
transcript.pyannote[1545].end 9573.65721875
transcript.pyannote[1546].speaker SPEAKER_20
transcript.pyannote[1546].start 9573.92721875
transcript.pyannote[1546].end 9575.91846875
transcript.pyannote[1547].speaker SPEAKER_20
transcript.pyannote[1547].start 9576.86346875
transcript.pyannote[1547].end 9579.95159375
transcript.pyannote[1548].speaker SPEAKER_20
transcript.pyannote[1548].start 9580.13721875
transcript.pyannote[1548].end 9580.17096875
transcript.pyannote[1549].speaker SPEAKER_02
transcript.pyannote[1549].start 9580.17096875
transcript.pyannote[1549].end 9580.72784375
transcript.pyannote[1550].speaker SPEAKER_20
transcript.pyannote[1550].start 9580.30596875
transcript.pyannote[1550].end 9580.74471875
transcript.pyannote[1551].speaker SPEAKER_02
transcript.pyannote[1551].start 9580.74471875
transcript.pyannote[1551].end 9580.79534375
transcript.pyannote[1552].speaker SPEAKER_20
transcript.pyannote[1552].start 9580.79534375
transcript.pyannote[1552].end 9580.84596875
transcript.pyannote[1553].speaker SPEAKER_02
transcript.pyannote[1553].start 9580.84596875
transcript.pyannote[1553].end 9587.30909375
transcript.pyannote[1554].speaker SPEAKER_02
transcript.pyannote[1554].start 9587.61284375
transcript.pyannote[1554].end 9588.97971875
transcript.pyannote[1555].speaker SPEAKER_20
transcript.pyannote[1555].start 9588.20346875
transcript.pyannote[1555].end 9593.35034375
transcript.pyannote[1556].speaker SPEAKER_20
transcript.pyannote[1556].start 9594.00846875
transcript.pyannote[1556].end 9596.87721875
transcript.pyannote[1557].speaker SPEAKER_20
transcript.pyannote[1557].start 9597.04596875
transcript.pyannote[1557].end 9602.90159375
transcript.pyannote[1558].speaker SPEAKER_00
transcript.pyannote[1558].start 9597.07971875
transcript.pyannote[1558].end 9597.46784375
transcript.pyannote[1559].speaker SPEAKER_20
transcript.pyannote[1559].start 9603.98159375
transcript.pyannote[1559].end 9609.66846875
transcript.pyannote[1560].speaker SPEAKER_20
transcript.pyannote[1560].start 9610.41096875
transcript.pyannote[1560].end 9611.52471875
transcript.pyannote[1561].speaker SPEAKER_20
transcript.pyannote[1561].start 9612.14909375
transcript.pyannote[1561].end 9612.77346875
transcript.pyannote[1562].speaker SPEAKER_20
transcript.pyannote[1562].start 9613.46534375
transcript.pyannote[1562].end 9616.72221875
transcript.pyannote[1563].speaker SPEAKER_20
transcript.pyannote[1563].start 9617.39721875
transcript.pyannote[1563].end 9622.30784375
transcript.pyannote[1564].speaker SPEAKER_20
transcript.pyannote[1564].start 9622.64534375
transcript.pyannote[1564].end 9630.32346875
transcript.pyannote[1565].speaker SPEAKER_20
transcript.pyannote[1565].start 9630.66096875
transcript.pyannote[1565].end 9635.84159375
transcript.pyannote[1566].speaker SPEAKER_20
transcript.pyannote[1566].start 9636.36471875
transcript.pyannote[1566].end 9638.35596875
transcript.pyannote[1567].speaker SPEAKER_20
transcript.pyannote[1567].start 9638.57534375
transcript.pyannote[1567].end 9640.71846875
transcript.pyannote[1568].speaker SPEAKER_20
transcript.pyannote[1568].start 9641.61284375
transcript.pyannote[1568].end 9643.67159375
transcript.pyannote[1569].speaker SPEAKER_20
transcript.pyannote[1569].start 9644.49846875
transcript.pyannote[1569].end 9645.59534375
transcript.pyannote[1570].speaker SPEAKER_20
transcript.pyannote[1570].start 9646.60784375
transcript.pyannote[1570].end 9651.90659375
transcript.pyannote[1571].speaker SPEAKER_20
transcript.pyannote[1571].start 9652.24409375
transcript.pyannote[1571].end 9655.26471875
transcript.pyannote[1572].speaker SPEAKER_20
transcript.pyannote[1572].start 9655.82159375
transcript.pyannote[1572].end 9656.81721875
transcript.pyannote[1573].speaker SPEAKER_20
transcript.pyannote[1573].start 9657.69471875
transcript.pyannote[1573].end 9664.78221875
transcript.pyannote[1574].speaker SPEAKER_20
transcript.pyannote[1574].start 9665.42346875
transcript.pyannote[1574].end 9670.99221875
transcript.pyannote[1575].speaker SPEAKER_20
transcript.pyannote[1575].start 9671.80221875
transcript.pyannote[1575].end 9674.67096875
transcript.pyannote[1576].speaker SPEAKER_20
transcript.pyannote[1576].start 9675.14346875
transcript.pyannote[1576].end 9678.77159375
transcript.pyannote[1577].speaker SPEAKER_20
transcript.pyannote[1577].start 9679.75034375
transcript.pyannote[1577].end 9682.43346875
transcript.pyannote[1578].speaker SPEAKER_20
transcript.pyannote[1578].start 9682.55159375
transcript.pyannote[1578].end 9683.24346875
transcript.pyannote[1579].speaker SPEAKER_20
transcript.pyannote[1579].start 9683.90159375
transcript.pyannote[1579].end 9687.02346875
transcript.pyannote[1580].speaker SPEAKER_20
transcript.pyannote[1580].start 9687.56346875
transcript.pyannote[1580].end 9688.91346875
transcript.pyannote[1581].speaker SPEAKER_20
transcript.pyannote[1581].start 9689.47034375
transcript.pyannote[1581].end 9692.35596875
transcript.pyannote[1582].speaker SPEAKER_20
transcript.pyannote[1582].start 9693.21659375
transcript.pyannote[1582].end 9695.08971875
transcript.pyannote[1583].speaker SPEAKER_20
transcript.pyannote[1583].start 9695.59596875
transcript.pyannote[1583].end 9698.12721875
transcript.pyannote[1584].speaker SPEAKER_20
transcript.pyannote[1584].start 9699.22409375
transcript.pyannote[1584].end 9701.16471875
transcript.pyannote[1585].speaker SPEAKER_00
transcript.pyannote[1585].start 9699.51096875
transcript.pyannote[1585].end 9700.10159375
transcript.pyannote[1586].speaker SPEAKER_20
transcript.pyannote[1586].start 9701.67096875
transcript.pyannote[1586].end 9703.47659375
transcript.pyannote[1587].speaker SPEAKER_20
transcript.pyannote[1587].start 9704.16846875
transcript.pyannote[1587].end 9706.58159375
transcript.pyannote[1588].speaker SPEAKER_20
transcript.pyannote[1588].start 9707.32409375
transcript.pyannote[1588].end 9709.29846875
transcript.pyannote[1589].speaker SPEAKER_20
transcript.pyannote[1589].start 9710.05784375
transcript.pyannote[1589].end 9712.94346875
transcript.pyannote[1590].speaker SPEAKER_20
transcript.pyannote[1590].start 9713.92221875
transcript.pyannote[1590].end 9714.64784375
transcript.pyannote[1591].speaker SPEAKER_20
transcript.pyannote[1591].start 9715.54221875
transcript.pyannote[1591].end 9722.62971875
transcript.pyannote[1592].speaker SPEAKER_20
transcript.pyannote[1592].start 9723.10221875
transcript.pyannote[1592].end 9724.92471875
transcript.pyannote[1593].speaker SPEAKER_20
transcript.pyannote[1593].start 9725.58284375
transcript.pyannote[1593].end 9730.45971875
transcript.pyannote[1594].speaker SPEAKER_20
transcript.pyannote[1594].start 9731.37096875
transcript.pyannote[1594].end 9735.37034375
transcript.pyannote[1595].speaker SPEAKER_20
transcript.pyannote[1595].start 9736.12971875
transcript.pyannote[1595].end 9738.45846875
transcript.pyannote[1596].speaker SPEAKER_20
transcript.pyannote[1596].start 9738.69471875
transcript.pyannote[1596].end 9740.48346875
transcript.pyannote[1597].speaker SPEAKER_20
transcript.pyannote[1597].start 9741.54659375
transcript.pyannote[1597].end 9746.13659375
transcript.pyannote[1598].speaker SPEAKER_20
transcript.pyannote[1598].start 9746.27159375
transcript.pyannote[1598].end 9748.31346875
transcript.pyannote[1599].speaker SPEAKER_20
transcript.pyannote[1599].start 9749.12346875
transcript.pyannote[1599].end 9755.09721875
transcript.pyannote[1600].speaker SPEAKER_20
transcript.pyannote[1600].start 9755.33346875
transcript.pyannote[1600].end 9757.52721875
transcript.pyannote[1601].speaker SPEAKER_20
transcript.pyannote[1601].start 9758.86034375
transcript.pyannote[1601].end 9766.06596875
transcript.pyannote[1602].speaker SPEAKER_20
transcript.pyannote[1602].start 9767.21346875
transcript.pyannote[1602].end 9767.92221875
transcript.pyannote[1603].speaker SPEAKER_17
transcript.pyannote[1603].start 9767.28096875
transcript.pyannote[1603].end 9767.77034375
transcript.pyannote[1604].speaker SPEAKER_20
transcript.pyannote[1604].start 9768.39471875
transcript.pyannote[1604].end 9772.47846875
transcript.pyannote[1605].speaker SPEAKER_20
transcript.pyannote[1605].start 9772.51221875
transcript.pyannote[1605].end 9775.27971875
transcript.pyannote[1606].speaker SPEAKER_20
transcript.pyannote[1606].start 9775.38096875
transcript.pyannote[1606].end 9776.89971875
transcript.pyannote[1607].speaker SPEAKER_20
transcript.pyannote[1607].start 9777.00096875
transcript.pyannote[1607].end 9778.57034375
transcript.pyannote[1608].speaker SPEAKER_20
transcript.pyannote[1608].start 9779.49846875
transcript.pyannote[1608].end 9781.55721875
transcript.pyannote[1609].speaker SPEAKER_20
transcript.pyannote[1609].start 9782.19846875
transcript.pyannote[1609].end 9782.97471875
transcript.pyannote[1610].speaker SPEAKER_02
transcript.pyannote[1610].start 9782.97471875
transcript.pyannote[1610].end 9783.71721875
transcript.pyannote[1611].speaker SPEAKER_20
transcript.pyannote[1611].start 9783.71721875
transcript.pyannote[1611].end 9783.73409375
transcript.pyannote[1612].speaker SPEAKER_02
transcript.pyannote[1612].start 9783.73409375
transcript.pyannote[1612].end 9783.75096875
transcript.pyannote[1613].speaker SPEAKER_02
transcript.pyannote[1613].start 9784.34159375
transcript.pyannote[1613].end 9793.74096875
transcript.pyannote[1614].speaker SPEAKER_02
transcript.pyannote[1614].start 9794.12909375
transcript.pyannote[1614].end 9801.97596875
transcript.pyannote[1615].speaker SPEAKER_02
transcript.pyannote[1615].start 9802.21221875
transcript.pyannote[1615].end 9807.71346875
transcript.pyannote[1616].speaker SPEAKER_02
transcript.pyannote[1616].start 9807.89909375
transcript.pyannote[1616].end 9818.54721875
transcript.pyannote[1617].speaker SPEAKER_20
transcript.pyannote[1617].start 9819.49221875
transcript.pyannote[1617].end 9829.19534375
transcript.pyannote[1618].speaker SPEAKER_02
transcript.pyannote[1618].start 9825.61784375
transcript.pyannote[1618].end 9825.66846875
transcript.pyannote[1619].speaker SPEAKER_20
transcript.pyannote[1619].start 9829.48221875
transcript.pyannote[1619].end 9833.71784375
transcript.pyannote[1620].speaker SPEAKER_20
transcript.pyannote[1620].start 9833.73471875
transcript.pyannote[1620].end 9838.54409375
transcript.pyannote[1621].speaker SPEAKER_20
transcript.pyannote[1621].start 9838.83096875
transcript.pyannote[1621].end 9845.36159375
transcript.pyannote[1622].speaker SPEAKER_20
transcript.pyannote[1622].start 9846.15471875
transcript.pyannote[1622].end 9850.39034375
transcript.pyannote[1623].speaker SPEAKER_20
transcript.pyannote[1623].start 9851.31846875
transcript.pyannote[1623].end 9853.91721875
transcript.pyannote[1624].speaker SPEAKER_19
transcript.pyannote[1624].start 9854.38971875
transcript.pyannote[1624].end 9856.83659375
transcript.pyannote[1625].speaker SPEAKER_19
transcript.pyannote[1625].start 9857.56221875
transcript.pyannote[1625].end 9858.87846875
transcript.pyannote[1626].speaker SPEAKER_20
transcript.pyannote[1626].start 9858.69284375
transcript.pyannote[1626].end 9859.90784375
transcript.pyannote[1627].speaker SPEAKER_19
transcript.pyannote[1627].start 9859.03034375
transcript.pyannote[1627].end 9859.63784375
transcript.pyannote[1628].speaker SPEAKER_19
transcript.pyannote[1628].start 9859.90784375
transcript.pyannote[1628].end 9864.05909375
transcript.pyannote[1629].speaker SPEAKER_19
transcript.pyannote[1629].start 9864.27846875
transcript.pyannote[1629].end 9865.83096875
transcript.pyannote[1630].speaker SPEAKER_19
transcript.pyannote[1630].start 9865.89846875
transcript.pyannote[1630].end 9866.55659375
transcript.pyannote[1631].speaker SPEAKER_19
transcript.pyannote[1631].start 9867.29909375
transcript.pyannote[1631].end 9870.26909375
transcript.pyannote[1632].speaker SPEAKER_19
transcript.pyannote[1632].start 9870.50534375
transcript.pyannote[1632].end 9872.36159375
transcript.pyannote[1633].speaker SPEAKER_19
transcript.pyannote[1633].start 9872.61471875
transcript.pyannote[1633].end 9873.62721875
transcript.pyannote[1634].speaker SPEAKER_19
transcript.pyannote[1634].start 9873.82971875
transcript.pyannote[1634].end 9874.79159375
transcript.pyannote[1635].speaker SPEAKER_19
transcript.pyannote[1635].start 9875.53409375
transcript.pyannote[1635].end 9877.12034375
transcript.pyannote[1636].speaker SPEAKER_19
transcript.pyannote[1636].start 9877.33971875
transcript.pyannote[1636].end 9878.62221875
transcript.pyannote[1637].speaker SPEAKER_19
transcript.pyannote[1637].start 9879.36471875
transcript.pyannote[1637].end 9880.44471875
transcript.pyannote[1638].speaker SPEAKER_19
transcript.pyannote[1638].start 9880.88346875
transcript.pyannote[1638].end 9882.94221875
transcript.pyannote[1639].speaker SPEAKER_19
transcript.pyannote[1639].start 9883.17846875
transcript.pyannote[1639].end 9884.41034375
transcript.pyannote[1640].speaker SPEAKER_20
transcript.pyannote[1640].start 9885.33846875
transcript.pyannote[1640].end 9889.01721875
transcript.pyannote[1641].speaker SPEAKER_20
transcript.pyannote[1641].start 9889.38846875
transcript.pyannote[1641].end 9892.42596875
transcript.pyannote[1642].speaker SPEAKER_20
transcript.pyannote[1642].start 9892.74659375
transcript.pyannote[1642].end 9897.10034375
transcript.pyannote[1643].speaker SPEAKER_20
transcript.pyannote[1643].start 9897.38721875
transcript.pyannote[1643].end 9900.01971875
transcript.pyannote[1644].speaker SPEAKER_20
transcript.pyannote[1644].start 9900.37409375
transcript.pyannote[1644].end 9901.57221875
transcript.pyannote[1645].speaker SPEAKER_20
transcript.pyannote[1645].start 9902.11221875
transcript.pyannote[1645].end 9904.20471875
transcript.pyannote[1646].speaker SPEAKER_19
transcript.pyannote[1646].start 9904.74471875
transcript.pyannote[1646].end 9913.30034375
transcript.pyannote[1647].speaker SPEAKER_20
transcript.pyannote[1647].start 9905.06534375
transcript.pyannote[1647].end 9905.35221875
transcript.pyannote[1648].speaker SPEAKER_20
transcript.pyannote[1648].start 9909.06471875
transcript.pyannote[1648].end 9910.00971875
transcript.pyannote[1649].speaker SPEAKER_20
transcript.pyannote[1649].start 9912.08534375
transcript.pyannote[1649].end 9914.29596875
transcript.pyannote[1650].speaker SPEAKER_19
transcript.pyannote[1650].start 9914.24534375
transcript.pyannote[1650].end 9916.18596875
transcript.pyannote[1651].speaker SPEAKER_19
transcript.pyannote[1651].start 9916.40534375
transcript.pyannote[1651].end 9916.60784375
transcript.pyannote[1652].speaker SPEAKER_20
transcript.pyannote[1652].start 9917.14784375
transcript.pyannote[1652].end 9918.22784375
transcript.pyannote[1653].speaker SPEAKER_19
transcript.pyannote[1653].start 9917.89034375
transcript.pyannote[1653].end 9918.56534375
transcript.pyannote[1654].speaker SPEAKER_20
transcript.pyannote[1654].start 9918.39659375
transcript.pyannote[1654].end 9920.11784375
transcript.pyannote[1655].speaker SPEAKER_20
transcript.pyannote[1655].start 9920.55659375
transcript.pyannote[1655].end 9924.58971875
transcript.pyannote[1656].speaker SPEAKER_20
transcript.pyannote[1656].start 9925.24784375
transcript.pyannote[1656].end 9926.05784375
transcript.pyannote[1657].speaker SPEAKER_20
transcript.pyannote[1657].start 9926.64846875
transcript.pyannote[1657].end 9930.25971875
transcript.pyannote[1658].speaker SPEAKER_20
transcript.pyannote[1658].start 9930.63096875
transcript.pyannote[1658].end 9945.81846875
transcript.pyannote[1659].speaker SPEAKER_20
transcript.pyannote[1659].start 9946.42596875
transcript.pyannote[1659].end 9952.31534375
transcript.pyannote[1660].speaker SPEAKER_20
transcript.pyannote[1660].start 9952.63596875
transcript.pyannote[1660].end 9963.58784375
transcript.pyannote[1661].speaker SPEAKER_20
transcript.pyannote[1661].start 9963.99284375
transcript.pyannote[1661].end 9973.86471875
transcript.pyannote[1662].speaker SPEAKER_20
transcript.pyannote[1662].start 9974.30346875
transcript.pyannote[1662].end 9974.89409375
transcript.pyannote[1663].speaker SPEAKER_20
transcript.pyannote[1663].start 9975.88971875
transcript.pyannote[1663].end 9979.75409375
transcript.pyannote[1664].speaker SPEAKER_20
transcript.pyannote[1664].start 9980.15909375
transcript.pyannote[1664].end 9984.49596875
transcript.pyannote[1665].speaker SPEAKER_20
transcript.pyannote[1665].start 9984.83346875
transcript.pyannote[1665].end 9994.11471875
transcript.pyannote[1666].speaker SPEAKER_20
transcript.pyannote[1666].start 9994.57034375
transcript.pyannote[1666].end 10005.04971875
transcript.pyannote[1667].speaker SPEAKER_20
transcript.pyannote[1667].start 10005.08346875
transcript.pyannote[1667].end 10006.97346875
transcript.pyannote[1668].speaker SPEAKER_20
transcript.pyannote[1668].start 10007.12534375
transcript.pyannote[1668].end 10009.60596875
transcript.pyannote[1669].speaker SPEAKER_20
transcript.pyannote[1669].start 10009.90971875
transcript.pyannote[1669].end 10012.72784375
transcript.pyannote[1670].speaker SPEAKER_20
transcript.pyannote[1670].start 10013.01471875
transcript.pyannote[1670].end 10019.35971875
transcript.pyannote[1671].speaker SPEAKER_20
transcript.pyannote[1671].start 10019.71409375
transcript.pyannote[1671].end 10031.29034375
transcript.pyannote[1672].speaker SPEAKER_20
transcript.pyannote[1672].start 10031.39159375
transcript.pyannote[1672].end 10032.04971875
transcript.pyannote[1673].speaker SPEAKER_20
transcript.pyannote[1673].start 10032.64034375
transcript.pyannote[1673].end 10034.91846875
transcript.pyannote[1674].speaker SPEAKER_20
transcript.pyannote[1674].start 10035.54284375
transcript.pyannote[1674].end 10038.31034375
transcript.pyannote[1675].speaker SPEAKER_20
transcript.pyannote[1675].start 10038.63096875
transcript.pyannote[1675].end 10040.67284375
transcript.pyannote[1676].speaker SPEAKER_20
transcript.pyannote[1676].start 10040.92596875
transcript.pyannote[1676].end 10045.98846875
transcript.pyannote[1677].speaker SPEAKER_20
transcript.pyannote[1677].start 10046.19096875
transcript.pyannote[1677].end 10046.59596875
transcript.pyannote[1678].speaker SPEAKER_20
transcript.pyannote[1678].start 10046.95034375
transcript.pyannote[1678].end 10059.31971875
transcript.pyannote[1679].speaker SPEAKER_20
transcript.pyannote[1679].start 10059.70784375
transcript.pyannote[1679].end 10066.52534375
transcript.pyannote[1680].speaker SPEAKER_19
transcript.pyannote[1680].start 10064.31471875
transcript.pyannote[1680].end 10065.09096875
transcript.pyannote[1681].speaker SPEAKER_19
transcript.pyannote[1681].start 10066.40721875
transcript.pyannote[1681].end 10070.49096875
transcript.pyannote[1682].speaker SPEAKER_20
transcript.pyannote[1682].start 10070.76096875
transcript.pyannote[1682].end 10075.73909375
transcript.pyannote[1683].speaker SPEAKER_19
transcript.pyannote[1683].start 10074.55784375
transcript.pyannote[1683].end 10074.72659375
transcript.pyannote[1684].speaker SPEAKER_11
transcript.pyannote[1684].start 10076.95409375
transcript.pyannote[1684].end 10080.05909375
transcript.pyannote[1685].speaker SPEAKER_11
transcript.pyannote[1685].start 10081.96596875
transcript.pyannote[1685].end 10084.90221875
transcript.pyannote[1686].speaker SPEAKER_21
transcript.pyannote[1686].start 10118.75346875
transcript.pyannote[1686].end 10119.07409375
transcript.pyannote[1687].speaker SPEAKER_21
transcript.pyannote[1687].start 10121.20034375
transcript.pyannote[1687].end 10121.63909375
transcript.pyannote[1688].speaker SPEAKER_21
transcript.pyannote[1688].start 10122.19596875
transcript.pyannote[1688].end 10122.97221875
transcript.pyannote[1689].speaker SPEAKER_21
transcript.pyannote[1689].start 10123.66409375
transcript.pyannote[1689].end 10124.44034375
transcript.pyannote[1690].speaker SPEAKER_11
transcript.pyannote[1690].start 10124.91284375
transcript.pyannote[1690].end 10126.09409375
transcript.pyannote[1691].speaker SPEAKER_21
transcript.pyannote[1691].start 10135.72971875
transcript.pyannote[1691].end 10139.35784375
transcript.pyannote[1692].speaker SPEAKER_21
transcript.pyannote[1692].start 10139.62784375
transcript.pyannote[1692].end 10140.21846875
transcript.pyannote[1693].speaker SPEAKER_21
transcript.pyannote[1693].start 10141.19721875
transcript.pyannote[1693].end 10144.75784375
transcript.pyannote[1694].speaker SPEAKER_21
transcript.pyannote[1694].start 10145.26409375
transcript.pyannote[1694].end 10146.54659375
transcript.pyannote[1695].speaker SPEAKER_21
transcript.pyannote[1695].start 10146.74909375
transcript.pyannote[1695].end 10148.92596875
transcript.pyannote[1696].speaker SPEAKER_21
transcript.pyannote[1696].start 10149.65159375
transcript.pyannote[1696].end 10151.25471875
transcript.pyannote[1697].speaker SPEAKER_21
transcript.pyannote[1697].start 10151.60909375
transcript.pyannote[1697].end 10154.19096875
transcript.pyannote[1698].speaker SPEAKER_19
transcript.pyannote[1698].start 10153.24596875
transcript.pyannote[1698].end 10154.12346875
transcript.pyannote[1699].speaker SPEAKER_21
transcript.pyannote[1699].start 10155.18659375
transcript.pyannote[1699].end 10155.82784375
transcript.pyannote[1700].speaker SPEAKER_21
transcript.pyannote[1700].start 10156.48596875
transcript.pyannote[1700].end 10157.07659375
transcript.pyannote[1701].speaker SPEAKER_21
transcript.pyannote[1701].start 10157.56596875
transcript.pyannote[1701].end 10158.71346875
transcript.pyannote[1702].speaker SPEAKER_21
transcript.pyannote[1702].start 10159.38846875
transcript.pyannote[1702].end 10161.97034375
transcript.pyannote[1703].speaker SPEAKER_21
transcript.pyannote[1703].start 10162.47659375
transcript.pyannote[1703].end 10164.53534375
transcript.pyannote[1704].speaker SPEAKER_21
transcript.pyannote[1704].start 10165.46346875
transcript.pyannote[1704].end 10167.38721875
transcript.pyannote[1705].speaker SPEAKER_21
transcript.pyannote[1705].start 10168.36596875
transcript.pyannote[1705].end 10168.87221875
transcript.pyannote[1706].speaker SPEAKER_21
transcript.pyannote[1706].start 10170.20534375
transcript.pyannote[1706].end 10173.34409375
transcript.pyannote[1707].speaker SPEAKER_21
transcript.pyannote[1707].start 10174.32284375
transcript.pyannote[1707].end 10175.11596875
transcript.pyannote[1708].speaker SPEAKER_21
transcript.pyannote[1708].start 10175.80784375
transcript.pyannote[1708].end 10178.10284375
transcript.pyannote[1709].speaker SPEAKER_21
transcript.pyannote[1709].start 10178.40659375
transcript.pyannote[1709].end 10180.19534375
transcript.pyannote[1710].speaker SPEAKER_21
transcript.pyannote[1710].start 10180.65096875
transcript.pyannote[1710].end 10181.54534375
transcript.pyannote[1711].speaker SPEAKER_21
transcript.pyannote[1711].start 10181.62971875
transcript.pyannote[1711].end 10184.92034375
transcript.pyannote[1712].speaker SPEAKER_21
transcript.pyannote[1712].start 10185.17346875
transcript.pyannote[1712].end 10186.69221875
transcript.pyannote[1713].speaker SPEAKER_21
transcript.pyannote[1713].start 10187.45159375
transcript.pyannote[1713].end 10188.49784375
transcript.pyannote[1714].speaker SPEAKER_21
transcript.pyannote[1714].start 10188.97034375
transcript.pyannote[1714].end 10189.72971875
transcript.pyannote[1715].speaker SPEAKER_21
transcript.pyannote[1715].start 10189.94909375
transcript.pyannote[1715].end 10190.65784375
transcript.pyannote[1716].speaker SPEAKER_21
transcript.pyannote[1716].start 10191.02909375
transcript.pyannote[1716].end 10191.67034375
transcript.pyannote[1717].speaker SPEAKER_21
transcript.pyannote[1717].start 10192.05846875
transcript.pyannote[1717].end 10192.69971875
transcript.pyannote[1718].speaker SPEAKER_21
transcript.pyannote[1718].start 10193.15534375
transcript.pyannote[1718].end 10193.96534375
transcript.pyannote[1719].speaker SPEAKER_21
transcript.pyannote[1719].start 10196.54721875
transcript.pyannote[1719].end 10198.96034375
transcript.pyannote[1720].speaker SPEAKER_21
transcript.pyannote[1720].start 10199.83784375
transcript.pyannote[1720].end 10201.76159375
transcript.pyannote[1721].speaker SPEAKER_21
transcript.pyannote[1721].start 10204.30971875
transcript.pyannote[1721].end 10205.81159375
transcript.pyannote[1722].speaker SPEAKER_21
transcript.pyannote[1722].start 10206.30096875
transcript.pyannote[1722].end 10207.80284375
transcript.pyannote[1723].speaker SPEAKER_21
transcript.pyannote[1723].start 10208.74784375
transcript.pyannote[1723].end 10209.52409375
transcript.pyannote[1724].speaker SPEAKER_21
transcript.pyannote[1724].start 10210.06409375
transcript.pyannote[1724].end 10211.26221875
transcript.pyannote[1725].speaker SPEAKER_21
transcript.pyannote[1725].start 10211.88659375
transcript.pyannote[1725].end 10213.54034375
transcript.pyannote[1726].speaker SPEAKER_21
transcript.pyannote[1726].start 10214.26596875
transcript.pyannote[1726].end 10214.72159375
transcript.pyannote[1727].speaker SPEAKER_21
transcript.pyannote[1727].start 10215.19409375
transcript.pyannote[1727].end 10217.26971875
transcript.pyannote[1728].speaker SPEAKER_21
transcript.pyannote[1728].start 10217.64096875
transcript.pyannote[1728].end 10219.09221875
transcript.pyannote[1729].speaker SPEAKER_21
transcript.pyannote[1729].start 10219.80096875
transcript.pyannote[1729].end 10221.77534375
transcript.pyannote[1730].speaker SPEAKER_21
transcript.pyannote[1730].start 10222.73721875
transcript.pyannote[1730].end 10223.68221875
transcript.pyannote[1731].speaker SPEAKER_21
transcript.pyannote[1731].start 10224.44159375
transcript.pyannote[1731].end 10226.98971875
transcript.pyannote[1732].speaker SPEAKER_21
transcript.pyannote[1732].start 10227.74909375
transcript.pyannote[1732].end 10229.36909375
transcript.pyannote[1733].speaker SPEAKER_21
transcript.pyannote[1733].start 10229.68971875
transcript.pyannote[1733].end 10230.65159375
transcript.pyannote[1734].speaker SPEAKER_21
transcript.pyannote[1734].start 10230.98909375
transcript.pyannote[1734].end 10231.66409375
transcript.pyannote[1735].speaker SPEAKER_21
transcript.pyannote[1735].start 10232.54159375
transcript.pyannote[1735].end 10234.90409375
transcript.pyannote[1736].speaker SPEAKER_21
transcript.pyannote[1736].start 10236.00096875
transcript.pyannote[1736].end 10236.33846875
transcript.pyannote[1737].speaker SPEAKER_21
transcript.pyannote[1737].start 10236.92909375
transcript.pyannote[1737].end 10239.57846875
transcript.pyannote[1738].speaker SPEAKER_21
transcript.pyannote[1738].start 10240.32096875
transcript.pyannote[1738].end 10242.71721875
transcript.pyannote[1739].speaker SPEAKER_21
transcript.pyannote[1739].start 10243.69596875
transcript.pyannote[1739].end 10244.20221875
transcript.pyannote[1740].speaker SPEAKER_21
transcript.pyannote[1740].start 10244.99534375
transcript.pyannote[1740].end 10247.77971875
transcript.pyannote[1741].speaker SPEAKER_21
transcript.pyannote[1741].start 10248.89346875
transcript.pyannote[1741].end 10250.42909375
transcript.pyannote[1742].speaker SPEAKER_21
transcript.pyannote[1742].start 10251.01971875
transcript.pyannote[1742].end 10253.23034375
transcript.pyannote[1743].speaker SPEAKER_21
transcript.pyannote[1743].start 10254.09096875
transcript.pyannote[1743].end 10255.15409375
transcript.pyannote[1744].speaker SPEAKER_21
transcript.pyannote[1744].start 10255.33971875
transcript.pyannote[1744].end 10256.33534375
transcript.pyannote[1745].speaker SPEAKER_21
transcript.pyannote[1745].start 10256.63909375
transcript.pyannote[1745].end 10256.95971875
transcript.pyannote[1746].speaker SPEAKER_21
transcript.pyannote[1746].start 10269.14346875
transcript.pyannote[1746].end 10269.81846875
transcript.pyannote[1747].speaker SPEAKER_21
transcript.pyannote[1747].start 10269.85221875
transcript.pyannote[1747].end 10269.86909375
transcript.pyannote[1748].speaker SPEAKER_21
transcript.pyannote[1748].start 10269.97034375
transcript.pyannote[1748].end 10270.62846875
transcript.pyannote[1749].speaker SPEAKER_21
transcript.pyannote[1749].start 10274.08784375
transcript.pyannote[1749].end 10275.18471875
transcript.pyannote[1750].speaker SPEAKER_21
transcript.pyannote[1750].start 10288.11096875
transcript.pyannote[1750].end 10288.60034375
transcript.pyannote[1751].speaker SPEAKER_21
transcript.pyannote[1751].start 10292.53221875
transcript.pyannote[1751].end 10292.98784375
transcript.pyannote[1752].speaker SPEAKER_21
transcript.pyannote[1752].start 10293.62909375
transcript.pyannote[1752].end 10294.87784375
transcript.pyannote[1753].speaker SPEAKER_21
transcript.pyannote[1753].start 10295.48534375
transcript.pyannote[1753].end 10296.17721875
transcript.pyannote[1754].speaker SPEAKER_21
transcript.pyannote[1754].start 10296.83534375
transcript.pyannote[1754].end 10297.76346875
transcript.pyannote[1755].speaker SPEAKER_21
transcript.pyannote[1755].start 10298.60721875
transcript.pyannote[1755].end 10299.24846875
transcript.pyannote[1756].speaker SPEAKER_21
transcript.pyannote[1756].start 10300.22721875
transcript.pyannote[1756].end 10301.17221875
transcript.pyannote[1757].speaker SPEAKER_21
transcript.pyannote[1757].start 10301.59409375
transcript.pyannote[1757].end 10302.15096875
transcript.pyannote[1758].speaker SPEAKER_21
transcript.pyannote[1758].start 10302.87659375
transcript.pyannote[1758].end 10306.26846875
transcript.pyannote[1759].speaker SPEAKER_21
transcript.pyannote[1759].start 10306.79159375
transcript.pyannote[1759].end 10310.13284375
transcript.pyannote[1760].speaker SPEAKER_21
transcript.pyannote[1760].start 10310.67284375
transcript.pyannote[1760].end 10311.34784375
transcript.pyannote[1761].speaker SPEAKER_21
transcript.pyannote[1761].start 10312.96784375
transcript.pyannote[1761].end 10313.25471875
transcript.pyannote[1762].speaker SPEAKER_21
transcript.pyannote[1762].start 10313.49096875
transcript.pyannote[1762].end 10314.19971875
transcript.pyannote[1763].speaker SPEAKER_21
transcript.pyannote[1763].start 10314.77346875
transcript.pyannote[1763].end 10315.44846875
transcript.pyannote[1764].speaker SPEAKER_21
transcript.pyannote[1764].start 10316.14034375
transcript.pyannote[1764].end 10318.48596875
transcript.pyannote[1765].speaker SPEAKER_21
transcript.pyannote[1765].start 10318.85721875
transcript.pyannote[1765].end 10321.10159375
transcript.pyannote[1766].speaker SPEAKER_21
transcript.pyannote[1766].start 10322.11409375
transcript.pyannote[1766].end 10323.44721875
transcript.pyannote[1767].speaker SPEAKER_21
transcript.pyannote[1767].start 10324.03784375
transcript.pyannote[1767].end 10325.45534375
transcript.pyannote[1768].speaker SPEAKER_21
transcript.pyannote[1768].start 10327.15971875
transcript.pyannote[1768].end 10327.64909375
transcript.pyannote[1769].speaker SPEAKER_21
transcript.pyannote[1769].start 10328.40846875
transcript.pyannote[1769].end 10329.13409375
transcript.pyannote[1770].speaker SPEAKER_21
transcript.pyannote[1770].start 10329.70784375
transcript.pyannote[1770].end 10330.41659375
transcript.pyannote[1771].speaker SPEAKER_21
transcript.pyannote[1771].start 10331.22659375
transcript.pyannote[1771].end 10334.09534375
transcript.pyannote[1772].speaker SPEAKER_21
transcript.pyannote[1772].start 10334.82096875
transcript.pyannote[1772].end 10336.17096875
transcript.pyannote[1773].speaker SPEAKER_21
transcript.pyannote[1773].start 10336.76159375
transcript.pyannote[1773].end 10339.07346875
transcript.pyannote[1774].speaker SPEAKER_21
transcript.pyannote[1774].start 10339.79909375
transcript.pyannote[1774].end 10341.58784375
transcript.pyannote[1775].speaker SPEAKER_21
transcript.pyannote[1775].start 10341.84096875
transcript.pyannote[1775].end 10342.61721875
transcript.pyannote[1776].speaker SPEAKER_21
transcript.pyannote[1776].start 10343.46096875
transcript.pyannote[1776].end 10345.57034375
transcript.pyannote[1777].speaker SPEAKER_21
transcript.pyannote[1777].start 10346.63346875
transcript.pyannote[1777].end 10349.56971875
transcript.pyannote[1778].speaker SPEAKER_21
transcript.pyannote[1778].start 10349.70471875
transcript.pyannote[1778].end 10351.37534375
transcript.pyannote[1779].speaker SPEAKER_21
transcript.pyannote[1779].start 10352.52284375
transcript.pyannote[1779].end 10353.13034375
transcript.pyannote[1780].speaker SPEAKER_21
transcript.pyannote[1780].start 10354.27784375
transcript.pyannote[1780].end 10358.69909375
transcript.pyannote[1781].speaker SPEAKER_21
transcript.pyannote[1781].start 10359.27284375
transcript.pyannote[1781].end 10361.36534375
transcript.pyannote[1782].speaker SPEAKER_21
transcript.pyannote[1782].start 10361.82096875
transcript.pyannote[1782].end 10367.55846875
transcript.pyannote[1783].speaker SPEAKER_21
transcript.pyannote[1783].start 10367.91284375
transcript.pyannote[1783].end 10369.16159375
transcript.pyannote[1784].speaker SPEAKER_21
transcript.pyannote[1784].start 10370.12346875
transcript.pyannote[1784].end 10374.29159375
transcript.pyannote[1785].speaker SPEAKER_21
transcript.pyannote[1785].start 10375.87784375
transcript.pyannote[1785].end 10376.83971875
transcript.pyannote[1786].speaker SPEAKER_21
transcript.pyannote[1786].start 10377.63284375
transcript.pyannote[1786].end 10379.50596875
transcript.pyannote[1787].speaker SPEAKER_21
transcript.pyannote[1787].start 10379.65784375
transcript.pyannote[1787].end 10381.05846875
transcript.pyannote[1788].speaker SPEAKER_21
transcript.pyannote[1788].start 10381.78409375
transcript.pyannote[1788].end 10385.80034375
transcript.pyannote[1789].speaker SPEAKER_21
transcript.pyannote[1789].start 10387.58909375
transcript.pyannote[1789].end 10389.04034375
transcript.pyannote[1790].speaker SPEAKER_21
transcript.pyannote[1790].start 10389.91784375
transcript.pyannote[1790].end 10392.24659375
transcript.pyannote[1791].speaker SPEAKER_21
transcript.pyannote[1791].start 10392.48284375
transcript.pyannote[1791].end 10394.92971875
transcript.pyannote[1792].speaker SPEAKER_21
transcript.pyannote[1792].start 10396.09409375
transcript.pyannote[1792].end 10396.76909375
transcript.pyannote[1793].speaker SPEAKER_21
transcript.pyannote[1793].start 10397.98409375
transcript.pyannote[1793].end 10399.04721875
transcript.pyannote[1794].speaker SPEAKER_21
transcript.pyannote[1794].start 10399.78971875
transcript.pyannote[1794].end 10401.59534375
transcript.pyannote[1795].speaker SPEAKER_21
transcript.pyannote[1795].start 10402.55721875
transcript.pyannote[1795].end 10403.13096875
transcript.pyannote[1796].speaker SPEAKER_21
transcript.pyannote[1796].start 10403.65409375
transcript.pyannote[1796].end 10404.36284375
transcript.pyannote[1797].speaker SPEAKER_21
transcript.pyannote[1797].start 10404.66659375
transcript.pyannote[1797].end 10405.37534375
transcript.pyannote[1798].speaker SPEAKER_21
transcript.pyannote[1798].start 10405.94909375
transcript.pyannote[1798].end 10407.88971875
transcript.pyannote[1799].speaker SPEAKER_21
transcript.pyannote[1799].start 10408.91909375
transcript.pyannote[1799].end 10410.23534375
transcript.pyannote[1800].speaker SPEAKER_21
transcript.pyannote[1800].start 10411.23096875
transcript.pyannote[1800].end 10411.46721875
transcript.pyannote[1801].speaker SPEAKER_21
transcript.pyannote[1801].start 10412.46284375
transcript.pyannote[1801].end 10413.62721875
transcript.pyannote[1802].speaker SPEAKER_21
transcript.pyannote[1802].start 10413.77909375
transcript.pyannote[1802].end 10415.09534375
transcript.pyannote[1803].speaker SPEAKER_21
transcript.pyannote[1803].start 10415.83784375
transcript.pyannote[1803].end 10416.58034375
transcript.pyannote[1804].speaker SPEAKER_21
transcript.pyannote[1804].start 10417.67721875
transcript.pyannote[1804].end 10419.22971875
transcript.pyannote[1805].speaker SPEAKER_21
transcript.pyannote[1805].start 10419.60096875
transcript.pyannote[1805].end 10421.59221875
transcript.pyannote[1806].speaker SPEAKER_21
transcript.pyannote[1806].start 10421.96346875
transcript.pyannote[1806].end 10422.40221875
transcript.pyannote[1807].speaker SPEAKER_19
transcript.pyannote[1807].start 10422.95909375
transcript.pyannote[1807].end 10424.49471875
transcript.pyannote[1808].speaker SPEAKER_21
transcript.pyannote[1808].start 10423.19534375
transcript.pyannote[1808].end 10423.66784375
transcript.pyannote[1809].speaker SPEAKER_19
transcript.pyannote[1809].start 10424.81534375
transcript.pyannote[1809].end 10434.45096875
transcript.pyannote[1810].speaker SPEAKER_19
transcript.pyannote[1810].start 10435.05846875
transcript.pyannote[1810].end 10435.76721875
transcript.pyannote[1811].speaker SPEAKER_19
transcript.pyannote[1811].start 10436.17221875
transcript.pyannote[1811].end 10440.07034375
transcript.pyannote[1812].speaker SPEAKER_02
transcript.pyannote[1812].start 10440.07034375
transcript.pyannote[1812].end 10440.74534375
transcript.pyannote[1813].speaker SPEAKER_02
transcript.pyannote[1813].start 10440.86346875
transcript.pyannote[1813].end 10460.16846875
transcript.pyannote[1814].speaker SPEAKER_19
transcript.pyannote[1814].start 10441.47096875
transcript.pyannote[1814].end 10441.87596875
transcript.pyannote[1815].speaker SPEAKER_21
transcript.pyannote[1815].start 10460.16846875
transcript.pyannote[1815].end 10460.20221875
transcript.pyannote[1816].speaker SPEAKER_02
transcript.pyannote[1816].start 10460.32034375
transcript.pyannote[1816].end 10461.02909375
transcript.pyannote[1817].speaker SPEAKER_21
transcript.pyannote[1817].start 10461.02909375
transcript.pyannote[1817].end 10470.52971875
transcript.pyannote[1818].speaker SPEAKER_02
transcript.pyannote[1818].start 10462.32846875
transcript.pyannote[1818].end 10462.39596875
transcript.pyannote[1819].speaker SPEAKER_17
transcript.pyannote[1819].start 10462.39596875
transcript.pyannote[1819].end 10463.05409375
transcript.pyannote[1820].speaker SPEAKER_02
transcript.pyannote[1820].start 10463.05409375
transcript.pyannote[1820].end 10463.08784375
transcript.pyannote[1821].speaker SPEAKER_02
transcript.pyannote[1821].start 10468.77471875
transcript.pyannote[1821].end 10470.10784375
transcript.pyannote[1822].speaker SPEAKER_21
transcript.pyannote[1822].start 10470.64784375
transcript.pyannote[1822].end 10470.66471875
transcript.pyannote[1823].speaker SPEAKER_02
transcript.pyannote[1823].start 10470.66471875
transcript.pyannote[1823].end 10470.68159375
transcript.pyannote[1824].speaker SPEAKER_21
transcript.pyannote[1824].start 10470.68159375
transcript.pyannote[1824].end 10470.96846875
transcript.pyannote[1825].speaker SPEAKER_02
transcript.pyannote[1825].start 10470.96846875
transcript.pyannote[1825].end 10489.71659375
transcript.pyannote[1826].speaker SPEAKER_21
transcript.pyannote[1826].start 10485.70034375
transcript.pyannote[1826].end 10486.40909375
transcript.pyannote[1827].speaker SPEAKER_21
transcript.pyannote[1827].start 10487.32034375
transcript.pyannote[1827].end 10491.72471875
transcript.pyannote[1828].speaker SPEAKER_21
transcript.pyannote[1828].start 10492.45034375
transcript.pyannote[1828].end 10493.76659375
transcript.pyannote[1829].speaker SPEAKER_21
transcript.pyannote[1829].start 10494.10409375
transcript.pyannote[1829].end 10499.82471875
transcript.pyannote[1830].speaker SPEAKER_21
transcript.pyannote[1830].start 10499.90909375
transcript.pyannote[1830].end 10503.19971875
transcript.pyannote[1831].speaker SPEAKER_21
transcript.pyannote[1831].start 10503.89159375
transcript.pyannote[1831].end 10504.02659375
transcript.pyannote[1832].speaker SPEAKER_21
transcript.pyannote[1832].start 10504.22909375
transcript.pyannote[1832].end 10506.11909375
transcript.pyannote[1833].speaker SPEAKER_21
transcript.pyannote[1833].start 10506.76034375
transcript.pyannote[1833].end 10510.42221875
transcript.pyannote[1834].speaker SPEAKER_21
transcript.pyannote[1834].start 10510.62471875
transcript.pyannote[1834].end 10515.63659375
transcript.pyannote[1835].speaker SPEAKER_21
transcript.pyannote[1835].start 10516.24409375
transcript.pyannote[1835].end 10517.76284375
transcript.pyannote[1836].speaker SPEAKER_21
transcript.pyannote[1836].start 10518.38721875
transcript.pyannote[1836].end 10521.54284375
transcript.pyannote[1837].speaker SPEAKER_21
transcript.pyannote[1837].start 10521.82971875
transcript.pyannote[1837].end 10522.75784375
transcript.pyannote[1838].speaker SPEAKER_21
transcript.pyannote[1838].start 10523.46659375
transcript.pyannote[1838].end 10525.20471875
transcript.pyannote[1839].speaker SPEAKER_21
transcript.pyannote[1839].start 10526.06534375
transcript.pyannote[1839].end 10527.21284375
transcript.pyannote[1840].speaker SPEAKER_21
transcript.pyannote[1840].start 10528.25909375
transcript.pyannote[1840].end 10530.13221875
transcript.pyannote[1841].speaker SPEAKER_21
transcript.pyannote[1841].start 10531.19534375
transcript.pyannote[1841].end 10535.80221875
transcript.pyannote[1842].speaker SPEAKER_21
transcript.pyannote[1842].start 10536.05534375
transcript.pyannote[1842].end 10537.27034375
transcript.pyannote[1843].speaker SPEAKER_21
transcript.pyannote[1843].start 10537.70909375
transcript.pyannote[1843].end 10539.27846875
transcript.pyannote[1844].speaker SPEAKER_21
transcript.pyannote[1844].start 10539.56534375
transcript.pyannote[1844].end 10540.66221875
transcript.pyannote[1845].speaker SPEAKER_21
transcript.pyannote[1845].start 10540.72971875
transcript.pyannote[1845].end 10545.65721875
transcript.pyannote[1846].speaker SPEAKER_21
transcript.pyannote[1846].start 10546.19721875
transcript.pyannote[1846].end 10548.49221875
transcript.pyannote[1847].speaker SPEAKER_21
transcript.pyannote[1847].start 10549.50471875
transcript.pyannote[1847].end 10553.84159375
transcript.pyannote[1848].speaker SPEAKER_21
transcript.pyannote[1848].start 10554.65159375
transcript.pyannote[1848].end 10557.13221875
transcript.pyannote[1849].speaker SPEAKER_21
transcript.pyannote[1849].start 10558.02659375
transcript.pyannote[1849].end 10568.32034375
transcript.pyannote[1850].speaker SPEAKER_21
transcript.pyannote[1850].start 10568.60721875
transcript.pyannote[1850].end 10570.26096875
transcript.pyannote[1851].speaker SPEAKER_19
transcript.pyannote[1851].start 10570.78409375
transcript.pyannote[1851].end 10570.86846875
transcript.pyannote[1852].speaker SPEAKER_21
transcript.pyannote[1852].start 10570.86846875
transcript.pyannote[1852].end 10570.96971875
transcript.pyannote[1853].speaker SPEAKER_19
transcript.pyannote[1853].start 10570.96971875
transcript.pyannote[1853].end 10571.84721875
transcript.pyannote[1854].speaker SPEAKER_19
transcript.pyannote[1854].start 10571.88096875
transcript.pyannote[1854].end 10574.66534375
transcript.pyannote[1855].speaker SPEAKER_19
transcript.pyannote[1855].start 10574.76659375
transcript.pyannote[1855].end 10577.14596875
transcript.pyannote[1856].speaker SPEAKER_19
transcript.pyannote[1856].start 10577.41596875
transcript.pyannote[1856].end 10579.30596875
transcript.pyannote[1857].speaker SPEAKER_19
transcript.pyannote[1857].start 10579.72784375
transcript.pyannote[1857].end 10580.57159375
transcript.pyannote[1858].speaker SPEAKER_19
transcript.pyannote[1858].start 10580.92596875
transcript.pyannote[1858].end 10599.91034375
transcript.pyannote[1859].speaker SPEAKER_21
transcript.pyannote[1859].start 10597.61534375
transcript.pyannote[1859].end 10598.93159375
transcript.pyannote[1860].speaker SPEAKER_21
transcript.pyannote[1860].start 10599.58971875
transcript.pyannote[1860].end 10599.84284375
transcript.pyannote[1861].speaker SPEAKER_21
transcript.pyannote[1861].start 10599.91034375
transcript.pyannote[1861].end 10599.94409375
transcript.pyannote[1862].speaker SPEAKER_19
transcript.pyannote[1862].start 10599.94409375
transcript.pyannote[1862].end 10599.96096875
transcript.pyannote[1863].speaker SPEAKER_21
transcript.pyannote[1863].start 10599.96096875
transcript.pyannote[1863].end 10599.97784375
transcript.pyannote[1864].speaker SPEAKER_19
transcript.pyannote[1864].start 10599.97784375
transcript.pyannote[1864].end 10600.02846875
transcript.pyannote[1865].speaker SPEAKER_21
transcript.pyannote[1865].start 10600.02846875
transcript.pyannote[1865].end 10600.06221875
transcript.pyannote[1866].speaker SPEAKER_19
transcript.pyannote[1866].start 10600.06221875
transcript.pyannote[1866].end 10600.50096875
transcript.pyannote[1867].speaker SPEAKER_21
transcript.pyannote[1867].start 10600.50096875
transcript.pyannote[1867].end 10602.42471875
transcript.pyannote[1868].speaker SPEAKER_19
transcript.pyannote[1868].start 10600.58534375
transcript.pyannote[1868].end 10601.07471875
transcript.pyannote[1869].speaker SPEAKER_21
transcript.pyannote[1869].start 10603.30221875
transcript.pyannote[1869].end 10603.70721875
transcript.pyannote[1870].speaker SPEAKER_21
transcript.pyannote[1870].start 10604.44971875
transcript.pyannote[1870].end 10608.33096875
transcript.pyannote[1871].speaker SPEAKER_21
transcript.pyannote[1871].start 10608.83721875
transcript.pyannote[1871].end 10612.66784375
transcript.pyannote[1872].speaker SPEAKER_21
transcript.pyannote[1872].start 10614.03471875
transcript.pyannote[1872].end 10615.73909375
transcript.pyannote[1873].speaker SPEAKER_21
transcript.pyannote[1873].start 10616.38034375
transcript.pyannote[1873].end 10621.49346875
transcript.pyannote[1874].speaker SPEAKER_21
transcript.pyannote[1874].start 10621.81409375
transcript.pyannote[1874].end 10625.20596875
transcript.pyannote[1875].speaker SPEAKER_21
transcript.pyannote[1875].start 10625.99909375
transcript.pyannote[1875].end 10627.45034375
transcript.pyannote[1876].speaker SPEAKER_21
transcript.pyannote[1876].start 10628.22659375
transcript.pyannote[1876].end 10629.00284375
transcript.pyannote[1877].speaker SPEAKER_21
transcript.pyannote[1877].start 10629.84659375
transcript.pyannote[1877].end 10631.55096875
transcript.pyannote[1878].speaker SPEAKER_21
transcript.pyannote[1878].start 10631.92221875
transcript.pyannote[1878].end 10646.92409375
transcript.pyannote[1879].speaker SPEAKER_21
transcript.pyannote[1879].start 10647.73409375
transcript.pyannote[1879].end 10648.05471875
transcript.pyannote[1880].speaker SPEAKER_21
transcript.pyannote[1880].start 10649.08409375
transcript.pyannote[1880].end 10651.88534375
transcript.pyannote[1881].speaker SPEAKER_21
transcript.pyannote[1881].start 10652.27346875
transcript.pyannote[1881].end 10653.11721875
transcript.pyannote[1882].speaker SPEAKER_21
transcript.pyannote[1882].start 10654.23096875
transcript.pyannote[1882].end 10654.85534375
transcript.pyannote[1883].speaker SPEAKER_21
transcript.pyannote[1883].start 10655.53034375
transcript.pyannote[1883].end 10656.59346875
transcript.pyannote[1884].speaker SPEAKER_21
transcript.pyannote[1884].start 10657.82534375
transcript.pyannote[1884].end 10660.74471875
transcript.pyannote[1885].speaker SPEAKER_21
transcript.pyannote[1885].start 10660.96409375
transcript.pyannote[1885].end 10663.27596875
transcript.pyannote[1886].speaker SPEAKER_21
transcript.pyannote[1886].start 10663.86659375
transcript.pyannote[1886].end 10674.10971875
transcript.pyannote[1887].speaker SPEAKER_19
transcript.pyannote[1887].start 10668.82784375
transcript.pyannote[1887].end 10668.84471875
transcript.pyannote[1888].speaker SPEAKER_15
transcript.pyannote[1888].start 10668.84471875
transcript.pyannote[1888].end 10669.80659375
transcript.pyannote[1889].speaker SPEAKER_19
transcript.pyannote[1889].start 10669.80659375
transcript.pyannote[1889].end 10669.82346875
transcript.pyannote[1890].speaker SPEAKER_19
transcript.pyannote[1890].start 10675.10534375
transcript.pyannote[1890].end 10680.74159375
transcript.pyannote[1891].speaker SPEAKER_19
transcript.pyannote[1891].start 10680.94409375
transcript.pyannote[1891].end 10685.50034375
transcript.pyannote[1892].speaker SPEAKER_21
transcript.pyannote[1892].start 10681.99034375
transcript.pyannote[1892].end 10682.81721875
transcript.pyannote[1893].speaker SPEAKER_21
transcript.pyannote[1893].start 10685.01096875
transcript.pyannote[1893].end 10686.91784375
transcript.pyannote[1894].speaker SPEAKER_21
transcript.pyannote[1894].start 10687.44096875
transcript.pyannote[1894].end 10690.63034375
transcript.pyannote[1895].speaker SPEAKER_19
transcript.pyannote[1895].start 10688.43659375
transcript.pyannote[1895].end 10688.79096875
transcript.pyannote[1896].speaker SPEAKER_19
transcript.pyannote[1896].start 10690.22534375
transcript.pyannote[1896].end 10696.51971875
transcript.pyannote[1897].speaker SPEAKER_21
transcript.pyannote[1897].start 10693.83659375
transcript.pyannote[1897].end 10695.97971875
transcript.pyannote[1898].speaker SPEAKER_21
transcript.pyannote[1898].start 10696.80659375
transcript.pyannote[1898].end 10698.24096875
transcript.pyannote[1899].speaker SPEAKER_21
transcript.pyannote[1899].start 10698.86534375
transcript.pyannote[1899].end 10699.60784375
transcript.pyannote[1900].speaker SPEAKER_21
transcript.pyannote[1900].start 10700.02971875
transcript.pyannote[1900].end 10700.75534375
transcript.pyannote[1901].speaker SPEAKER_21
transcript.pyannote[1901].start 10702.74659375
transcript.pyannote[1901].end 10704.07971875
transcript.pyannote[1902].speaker SPEAKER_21
transcript.pyannote[1902].start 10704.31596875
transcript.pyannote[1902].end 10705.81784375
transcript.pyannote[1903].speaker SPEAKER_21
transcript.pyannote[1903].start 10706.22284375
transcript.pyannote[1903].end 10710.22221875
transcript.pyannote[1904].speaker SPEAKER_21
transcript.pyannote[1904].start 10710.54284375
transcript.pyannote[1904].end 10710.64409375
transcript.pyannote[1905].speaker SPEAKER_21
transcript.pyannote[1905].start 10710.94784375
transcript.pyannote[1905].end 10714.01909375
transcript.pyannote[1906].speaker SPEAKER_21
transcript.pyannote[1906].start 10715.38596875
transcript.pyannote[1906].end 10715.84159375
transcript.pyannote[1907].speaker SPEAKER_21
transcript.pyannote[1907].start 10716.43221875
transcript.pyannote[1907].end 10718.55846875
transcript.pyannote[1908].speaker SPEAKER_21
transcript.pyannote[1908].start 10719.06471875
transcript.pyannote[1908].end 10720.36409375
transcript.pyannote[1909].speaker SPEAKER_21
transcript.pyannote[1909].start 10720.83659375
transcript.pyannote[1909].end 10721.17409375
transcript.pyannote[1910].speaker SPEAKER_21
transcript.pyannote[1910].start 10721.62971875
transcript.pyannote[1910].end 10725.59534375
transcript.pyannote[1911].speaker SPEAKER_21
transcript.pyannote[1911].start 10726.16909375
transcript.pyannote[1911].end 10726.37159375
transcript.pyannote[1912].speaker SPEAKER_21
transcript.pyannote[1912].start 10727.01284375
transcript.pyannote[1912].end 10728.49784375
transcript.pyannote[1913].speaker SPEAKER_21
transcript.pyannote[1913].start 10728.97034375
transcript.pyannote[1913].end 10729.56096875
transcript.pyannote[1914].speaker SPEAKER_21
transcript.pyannote[1914].start 10730.10096875
transcript.pyannote[1914].end 10733.32409375
transcript.pyannote[1915].speaker SPEAKER_21
transcript.pyannote[1915].start 10734.10034375
transcript.pyannote[1915].end 10737.98159375
transcript.pyannote[1916].speaker SPEAKER_21
transcript.pyannote[1916].start 10739.26409375
transcript.pyannote[1916].end 10744.24221875
transcript.pyannote[1917].speaker SPEAKER_21
transcript.pyannote[1917].start 10745.49096875
transcript.pyannote[1917].end 10746.33471875
transcript.pyannote[1918].speaker SPEAKER_21
transcript.pyannote[1918].start 10746.90846875
transcript.pyannote[1918].end 10747.36409375
transcript.pyannote[1919].speaker SPEAKER_21
transcript.pyannote[1919].start 10747.85346875
transcript.pyannote[1919].end 10748.73096875
transcript.pyannote[1920].speaker SPEAKER_21
transcript.pyannote[1920].start 10748.91659375
transcript.pyannote[1920].end 10751.66721875
transcript.pyannote[1921].speaker SPEAKER_21
transcript.pyannote[1921].start 10752.29159375
transcript.pyannote[1921].end 10753.15221875
transcript.pyannote[1922].speaker SPEAKER_21
transcript.pyannote[1922].start 10753.33784375
transcript.pyannote[1922].end 10759.68284375
transcript.pyannote[1923].speaker SPEAKER_21
transcript.pyannote[1923].start 10759.88534375
transcript.pyannote[1923].end 10763.58096875
transcript.pyannote[1924].speaker SPEAKER_21
transcript.pyannote[1924].start 10763.73284375
transcript.pyannote[1924].end 10766.09534375
transcript.pyannote[1925].speaker SPEAKER_21
transcript.pyannote[1925].start 10766.38221875
transcript.pyannote[1925].end 10767.05721875
transcript.pyannote[1926].speaker SPEAKER_21
transcript.pyannote[1926].start 10767.29346875
transcript.pyannote[1926].end 10778.86971875
transcript.pyannote[1927].speaker SPEAKER_21
transcript.pyannote[1927].start 10780.21971875
transcript.pyannote[1927].end 10781.01284375
transcript.pyannote[1928].speaker SPEAKER_21
transcript.pyannote[1928].start 10781.85659375
transcript.pyannote[1928].end 10785.36659375
transcript.pyannote[1929].speaker SPEAKER_21
transcript.pyannote[1929].start 10785.94034375
transcript.pyannote[1929].end 10788.84284375
transcript.pyannote[1930].speaker SPEAKER_21
transcript.pyannote[1930].start 10789.09596875
transcript.pyannote[1930].end 10790.19284375
transcript.pyannote[1931].speaker SPEAKER_21
transcript.pyannote[1931].start 10790.81721875
transcript.pyannote[1931].end 10796.06534375
transcript.pyannote[1932].speaker SPEAKER_21
transcript.pyannote[1932].start 10796.60534375
transcript.pyannote[1932].end 10800.84096875
transcript.pyannote[1933].speaker SPEAKER_21
transcript.pyannote[1933].start 10802.29221875
transcript.pyannote[1933].end 10803.43971875
transcript.pyannote[1934].speaker SPEAKER_21
transcript.pyannote[1934].start 10803.89534375
transcript.pyannote[1934].end 10806.29159375
transcript.pyannote[1935].speaker SPEAKER_21
transcript.pyannote[1935].start 10806.78096875
transcript.pyannote[1935].end 10809.07596875
transcript.pyannote[1936].speaker SPEAKER_21
transcript.pyannote[1936].start 10812.83909375
transcript.pyannote[1936].end 10814.02034375
transcript.pyannote[1937].speaker SPEAKER_19
transcript.pyannote[1937].start 10826.01846875
transcript.pyannote[1937].end 10828.51596875
transcript.pyannote[1938].speaker SPEAKER_19
transcript.pyannote[1938].start 10829.14034375
transcript.pyannote[1938].end 10831.16534375
transcript.pyannote[1939].speaker SPEAKER_19
transcript.pyannote[1939].start 10831.78971875
transcript.pyannote[1939].end 10832.86971875
transcript.pyannote[1940].speaker SPEAKER_19
transcript.pyannote[1940].start 10833.30846875
transcript.pyannote[1940].end 10835.62034375
transcript.pyannote[1941].speaker SPEAKER_19
transcript.pyannote[1941].start 10836.02534375
transcript.pyannote[1941].end 10837.52721875
transcript.pyannote[1942].speaker SPEAKER_21
transcript.pyannote[1942].start 10838.06721875
transcript.pyannote[1942].end 10838.26971875
transcript.pyannote[1943].speaker SPEAKER_21
transcript.pyannote[1943].start 10838.53971875
transcript.pyannote[1943].end 10839.04596875
transcript.pyannote[1944].speaker SPEAKER_21
transcript.pyannote[1944].start 10839.16409375
transcript.pyannote[1944].end 10841.37471875
transcript.pyannote[1945].speaker SPEAKER_21
transcript.pyannote[1945].start 10841.69534375
transcript.pyannote[1945].end 10843.53471875
transcript.pyannote[1946].speaker SPEAKER_21
transcript.pyannote[1946].start 10844.39534375
transcript.pyannote[1946].end 10845.47534375
transcript.pyannote[1947].speaker SPEAKER_21
transcript.pyannote[1947].start 10846.15034375
transcript.pyannote[1947].end 10846.99409375
transcript.pyannote[1948].speaker SPEAKER_21
transcript.pyannote[1948].start 10847.29784375
transcript.pyannote[1948].end 10852.84971875
transcript.pyannote[1949].speaker SPEAKER_21
transcript.pyannote[1949].start 10853.76096875
transcript.pyannote[1949].end 10857.64221875
transcript.pyannote[1950].speaker SPEAKER_21
transcript.pyannote[1950].start 10858.30034375
transcript.pyannote[1950].end 10862.92409375
transcript.pyannote[1951].speaker SPEAKER_21
transcript.pyannote[1951].start 10863.14346875
transcript.pyannote[1951].end 10866.26534375
transcript.pyannote[1952].speaker SPEAKER_21
transcript.pyannote[1952].start 10866.53534375
transcript.pyannote[1952].end 10867.86846875
transcript.pyannote[1953].speaker SPEAKER_21
transcript.pyannote[1953].start 10868.76284375
transcript.pyannote[1953].end 10879.49534375
transcript.pyannote[1954].speaker SPEAKER_21
transcript.pyannote[1954].start 10880.08596875
transcript.pyannote[1954].end 10881.03096875
transcript.pyannote[1955].speaker SPEAKER_21
transcript.pyannote[1955].start 10881.82409375
transcript.pyannote[1955].end 10883.49471875
transcript.pyannote[1956].speaker SPEAKER_21
transcript.pyannote[1956].start 10883.98409375
transcript.pyannote[1956].end 10885.89096875
transcript.pyannote[1957].speaker SPEAKER_21
transcript.pyannote[1957].start 10886.48159375
transcript.pyannote[1957].end 10888.01721875
transcript.pyannote[1958].speaker SPEAKER_21
transcript.pyannote[1958].start 10888.40534375
transcript.pyannote[1958].end 10889.63721875
transcript.pyannote[1959].speaker SPEAKER_21
transcript.pyannote[1959].start 10890.16034375
transcript.pyannote[1959].end 10890.43034375
transcript.pyannote[1960].speaker SPEAKER_21
transcript.pyannote[1960].start 10890.61596875
transcript.pyannote[1960].end 10899.13784375
transcript.pyannote[1961].speaker SPEAKER_02
transcript.pyannote[1961].start 10897.41659375
transcript.pyannote[1961].end 10897.82159375
transcript.pyannote[1962].speaker SPEAKER_02
transcript.pyannote[1962].start 10898.51346875
transcript.pyannote[1962].end 10900.72409375
transcript.pyannote[1963].speaker SPEAKER_21
transcript.pyannote[1963].start 10900.72409375
transcript.pyannote[1963].end 10909.14471875
transcript.pyannote[1964].speaker SPEAKER_21
transcript.pyannote[1964].start 10909.56659375
transcript.pyannote[1964].end 10912.35096875
transcript.pyannote[1965].speaker SPEAKER_21
transcript.pyannote[1965].start 10913.19471875
transcript.pyannote[1965].end 10913.80221875
transcript.pyannote[1966].speaker SPEAKER_21
transcript.pyannote[1966].start 10914.54471875
transcript.pyannote[1966].end 10918.45971875
transcript.pyannote[1967].speaker SPEAKER_21
transcript.pyannote[1967].start 10918.81409375
transcript.pyannote[1967].end 10919.96159375
transcript.pyannote[1968].speaker SPEAKER_21
transcript.pyannote[1968].start 10920.21471875
transcript.pyannote[1968].end 10947.41721875
transcript.pyannote[1969].speaker SPEAKER_17
transcript.pyannote[1969].start 10932.02721875
transcript.pyannote[1969].end 10932.29721875
transcript.pyannote[1970].speaker SPEAKER_21
transcript.pyannote[1970].start 10947.72096875
transcript.pyannote[1970].end 10951.23096875
transcript.pyannote[1971].speaker SPEAKER_01
transcript.pyannote[1971].start 10951.23096875
transcript.pyannote[1971].end 10951.29846875
transcript.pyannote[1972].speaker SPEAKER_01
transcript.pyannote[1972].start 10951.31534375
transcript.pyannote[1972].end 10951.77096875
transcript.pyannote[1973].speaker SPEAKER_21
transcript.pyannote[1973].start 10951.95659375
transcript.pyannote[1973].end 10953.13784375
transcript.pyannote[1974].speaker SPEAKER_21
transcript.pyannote[1974].start 10953.66096875
transcript.pyannote[1974].end 10954.09971875
transcript.pyannote[1975].speaker SPEAKER_21
transcript.pyannote[1975].start 10955.34846875
transcript.pyannote[1975].end 10957.59284375
transcript.pyannote[1976].speaker SPEAKER_21
transcript.pyannote[1976].start 10957.87971875
transcript.pyannote[1976].end 10963.41471875
transcript.pyannote[1977].speaker SPEAKER_01
transcript.pyannote[1977].start 10960.39409375
transcript.pyannote[1977].end 10960.91721875
transcript.pyannote[1978].speaker SPEAKER_21
transcript.pyannote[1978].start 10963.95471875
transcript.pyannote[1978].end 10966.16534375
transcript.pyannote[1979].speaker SPEAKER_21
transcript.pyannote[1979].start 10966.46909375
transcript.pyannote[1979].end 10969.69221875
transcript.pyannote[1980].speaker SPEAKER_21
transcript.pyannote[1980].start 10969.97909375
transcript.pyannote[1980].end 11008.23471875
transcript.pyannote[1981].speaker SPEAKER_21
transcript.pyannote[1981].start 11008.57221875
transcript.pyannote[1981].end 11009.14596875
transcript.pyannote[1982].speaker SPEAKER_21
transcript.pyannote[1982].start 11009.73659375
transcript.pyannote[1982].end 11016.77346875
transcript.pyannote[1983].speaker SPEAKER_21
transcript.pyannote[1983].start 11016.95909375
transcript.pyannote[1983].end 11038.91346875
transcript.pyannote[1984].speaker SPEAKER_17
transcript.pyannote[1984].start 11018.05596875
transcript.pyannote[1984].end 11018.73096875
transcript.pyannote[1985].speaker SPEAKER_03
transcript.pyannote[1985].start 11038.91346875
transcript.pyannote[1985].end 11039.31846875
transcript.pyannote[1986].speaker SPEAKER_11
transcript.pyannote[1986].start 11044.73534375
transcript.pyannote[1986].end 11046.20346875
transcript.pyannote[1987].speaker SPEAKER_11
transcript.pyannote[1987].start 11047.24971875
transcript.pyannote[1987].end 11050.10159375
transcript.pyannote[1988].speaker SPEAKER_11
transcript.pyannote[1988].start 11058.55596875
transcript.pyannote[1988].end 11061.91409375
transcript.pyannote[1989].speaker SPEAKER_07
transcript.pyannote[1989].start 11073.49034375
transcript.pyannote[1989].end 11076.56159375
transcript.pyannote[1990].speaker SPEAKER_11
transcript.pyannote[1990].start 11076.94971875
transcript.pyannote[1990].end 11082.43409375
transcript.pyannote[1991].speaker SPEAKER_07
transcript.pyannote[1991].start 11088.22221875
transcript.pyannote[1991].end 11093.53784375
transcript.pyannote[1992].speaker SPEAKER_11
transcript.pyannote[1992].start 11088.23909375
transcript.pyannote[1992].end 11088.27284375
transcript.pyannote[1993].speaker SPEAKER_17
transcript.pyannote[1993].start 11088.27284375
transcript.pyannote[1993].end 11088.96471875
transcript.pyannote[1994].speaker SPEAKER_19
transcript.pyannote[1994].start 11088.96471875
transcript.pyannote[1994].end 11089.18409375
transcript.pyannote[1995].speaker SPEAKER_17
transcript.pyannote[1995].start 11089.18409375
transcript.pyannote[1995].end 11089.23471875
transcript.pyannote[1996].speaker SPEAKER_07
transcript.pyannote[1996].start 11093.94284375
transcript.pyannote[1996].end 11095.66409375
transcript.pyannote[1997].speaker SPEAKER_07
transcript.pyannote[1997].start 11096.22096875
transcript.pyannote[1997].end 11102.09346875
transcript.pyannote[1998].speaker SPEAKER_07
transcript.pyannote[1998].start 11102.54909375
transcript.pyannote[1998].end 11110.41284375
transcript.pyannote[1999].speaker SPEAKER_07
transcript.pyannote[1999].start 11110.85159375
transcript.pyannote[1999].end 11112.85971875
transcript.pyannote[2000].speaker SPEAKER_19
transcript.pyannote[2000].start 11111.03721875
transcript.pyannote[2000].end 11114.00721875
transcript.pyannote[2001].speaker SPEAKER_07
transcript.pyannote[2001].start 11115.42471875
transcript.pyannote[2001].end 11117.09534375
transcript.pyannote[2002].speaker SPEAKER_19
transcript.pyannote[2002].start 11117.14596875
transcript.pyannote[2002].end 11117.61846875
transcript.pyannote[2003].speaker SPEAKER_17
transcript.pyannote[2003].start 11117.61846875
transcript.pyannote[2003].end 11117.65221875
transcript.pyannote[2004].speaker SPEAKER_07
transcript.pyannote[2004].start 11117.65221875
transcript.pyannote[2004].end 11127.50721875
transcript.pyannote[2005].speaker SPEAKER_17
transcript.pyannote[2005].start 11119.37346875
transcript.pyannote[2005].end 11119.64346875
transcript.pyannote[2006].speaker SPEAKER_07
transcript.pyannote[2006].start 11127.62534375
transcript.pyannote[2006].end 11129.86971875
transcript.pyannote[2007].speaker SPEAKER_07
transcript.pyannote[2007].start 11131.55721875
transcript.pyannote[2007].end 11133.95346875
transcript.pyannote[2008].speaker SPEAKER_19
transcript.pyannote[2008].start 11135.03346875
transcript.pyannote[2008].end 11138.40846875
transcript.pyannote[2009].speaker SPEAKER_19
transcript.pyannote[2009].start 11138.89784375
transcript.pyannote[2009].end 11143.90971875
transcript.pyannote[2010].speaker SPEAKER_19
transcript.pyannote[2010].start 11144.02784375
transcript.pyannote[2010].end 11146.42409375
transcript.pyannote[2011].speaker SPEAKER_07
transcript.pyannote[2011].start 11147.28471875
transcript.pyannote[2011].end 11148.19596875
transcript.pyannote[2012].speaker SPEAKER_07
transcript.pyannote[2012].start 11148.60096875
transcript.pyannote[2012].end 11162.01659375
transcript.pyannote[2013].speaker SPEAKER_07
transcript.pyannote[2013].start 11162.43846875
transcript.pyannote[2013].end 11166.50534375
transcript.pyannote[2014].speaker SPEAKER_07
transcript.pyannote[2014].start 11166.92721875
transcript.pyannote[2014].end 11169.13784375
transcript.pyannote[2015].speaker SPEAKER_07
transcript.pyannote[2015].start 11169.47534375
transcript.pyannote[2015].end 11173.03596875
transcript.pyannote[2016].speaker SPEAKER_07
transcript.pyannote[2016].start 11173.06971875
transcript.pyannote[2016].end 11178.62159375
transcript.pyannote[2017].speaker SPEAKER_07
transcript.pyannote[2017].start 11179.00971875
transcript.pyannote[2017].end 11185.38846875
transcript.pyannote[2018].speaker SPEAKER_07
transcript.pyannote[2018].start 11186.08034375
transcript.pyannote[2018].end 11190.07971875
transcript.pyannote[2019].speaker SPEAKER_07
transcript.pyannote[2019].start 11190.68721875
transcript.pyannote[2019].end 11211.74721875
transcript.pyannote[2020].speaker SPEAKER_19
transcript.pyannote[2020].start 11213.08034375
transcript.pyannote[2020].end 11214.61596875
transcript.pyannote[2021].speaker SPEAKER_19
transcript.pyannote[2021].start 11215.84784375
transcript.pyannote[2021].end 11220.57284375
transcript.pyannote[2022].speaker SPEAKER_19
transcript.pyannote[2022].start 11221.06221875
transcript.pyannote[2022].end 11222.37846875
transcript.pyannote[2023].speaker SPEAKER_07
transcript.pyannote[2023].start 11223.37409375
transcript.pyannote[2023].end 11225.82096875
transcript.pyannote[2024].speaker SPEAKER_17
transcript.pyannote[2024].start 11223.67784375
transcript.pyannote[2024].end 11223.76221875
transcript.pyannote[2025].speaker SPEAKER_07
transcript.pyannote[2025].start 11226.32721875
transcript.pyannote[2025].end 11241.09284375
transcript.pyannote[2026].speaker SPEAKER_17
transcript.pyannote[2026].start 11226.68159375
transcript.pyannote[2026].end 11226.69846875
transcript.pyannote[2027].speaker SPEAKER_19
transcript.pyannote[2027].start 11226.69846875
transcript.pyannote[2027].end 11227.47471875
transcript.pyannote[2028].speaker SPEAKER_17
transcript.pyannote[2028].start 11227.47471875
transcript.pyannote[2028].end 11227.52534375
transcript.pyannote[2029].speaker SPEAKER_07
transcript.pyannote[2029].start 11241.27846875
transcript.pyannote[2029].end 11251.50471875
transcript.pyannote[2030].speaker SPEAKER_07
transcript.pyannote[2030].start 11252.01096875
transcript.pyannote[2030].end 11263.38471875
transcript.pyannote[2031].speaker SPEAKER_07
transcript.pyannote[2031].start 11263.82346875
transcript.pyannote[2031].end 11265.56159375
transcript.pyannote[2032].speaker SPEAKER_07
transcript.pyannote[2032].start 11266.13534375
transcript.pyannote[2032].end 11270.42159375
transcript.pyannote[2033].speaker SPEAKER_07
transcript.pyannote[2033].start 11270.94471875
transcript.pyannote[2033].end 11277.32346875
transcript.pyannote[2034].speaker SPEAKER_07
transcript.pyannote[2034].start 11277.82971875
transcript.pyannote[2034].end 11284.64721875
transcript.pyannote[2035].speaker SPEAKER_07
transcript.pyannote[2035].start 11285.30534375
transcript.pyannote[2035].end 11296.89846875
transcript.pyannote[2036].speaker SPEAKER_07
transcript.pyannote[2036].start 11299.10909375
transcript.pyannote[2036].end 11299.85159375
transcript.pyannote[2037].speaker SPEAKER_07
transcript.pyannote[2037].start 11301.43784375
transcript.pyannote[2037].end 11306.82096875
transcript.pyannote[2038].speaker SPEAKER_17
transcript.pyannote[2038].start 11301.47159375
transcript.pyannote[2038].end 11301.75846875
transcript.pyannote[2039].speaker SPEAKER_07
transcript.pyannote[2039].start 11307.02346875
transcript.pyannote[2039].end 11311.34346875
transcript.pyannote[2040].speaker SPEAKER_09
transcript.pyannote[2040].start 11312.20409375
transcript.pyannote[2040].end 11313.48659375
transcript.pyannote[2041].speaker SPEAKER_09
transcript.pyannote[2041].start 11313.92534375
transcript.pyannote[2041].end 11318.83596875
transcript.pyannote[2042].speaker SPEAKER_07
transcript.pyannote[2042].start 11319.44346875
transcript.pyannote[2042].end 11324.30346875
transcript.pyannote[2043].speaker SPEAKER_09
transcript.pyannote[2043].start 11324.47221875
transcript.pyannote[2043].end 11324.82659375
transcript.pyannote[2044].speaker SPEAKER_07
transcript.pyannote[2044].start 11324.67471875
transcript.pyannote[2044].end 11328.74159375
transcript.pyannote[2045].speaker SPEAKER_09
transcript.pyannote[2045].start 11329.19721875
transcript.pyannote[2045].end 11329.97346875
transcript.pyannote[2046].speaker SPEAKER_07
transcript.pyannote[2046].start 11330.14221875
transcript.pyannote[2046].end 11332.70721875
transcript.pyannote[2047].speaker SPEAKER_09
transcript.pyannote[2047].start 11331.76221875
transcript.pyannote[2047].end 11333.21346875
transcript.pyannote[2048].speaker SPEAKER_07
transcript.pyannote[2048].start 11332.80846875
transcript.pyannote[2048].end 11338.52909375
transcript.pyannote[2049].speaker SPEAKER_19
transcript.pyannote[2049].start 11333.21346875
transcript.pyannote[2049].end 11333.24721875
transcript.pyannote[2050].speaker SPEAKER_07
transcript.pyannote[2050].start 11339.37284375
transcript.pyannote[2050].end 11341.93784375
transcript.pyannote[2051].speaker SPEAKER_07
transcript.pyannote[2051].start 11342.25846875
transcript.pyannote[2051].end 11346.30846875
transcript.pyannote[2052].speaker SPEAKER_07
transcript.pyannote[2052].start 11347.08471875
transcript.pyannote[2052].end 11357.09159375
transcript.pyannote[2053].speaker SPEAKER_07
transcript.pyannote[2053].start 11357.53034375
transcript.pyannote[2053].end 11361.24284375
transcript.pyannote[2054].speaker SPEAKER_07
transcript.pyannote[2054].start 11361.85034375
transcript.pyannote[2054].end 11365.30971875
transcript.pyannote[2055].speaker SPEAKER_19
transcript.pyannote[2055].start 11365.79909375
transcript.pyannote[2055].end 11367.21659375
transcript.pyannote[2056].speaker SPEAKER_19
transcript.pyannote[2056].start 11367.67221875
transcript.pyannote[2056].end 11370.33846875
transcript.pyannote[2057].speaker SPEAKER_07
transcript.pyannote[2057].start 11370.60846875
transcript.pyannote[2057].end 11374.47284375
transcript.pyannote[2058].speaker SPEAKER_19
transcript.pyannote[2058].start 11370.64221875
transcript.pyannote[2058].end 11371.63784375
transcript.pyannote[2059].speaker SPEAKER_07
transcript.pyannote[2059].start 11374.64159375
transcript.pyannote[2059].end 11376.56534375
transcript.pyannote[2060].speaker SPEAKER_19
transcript.pyannote[2060].start 11374.72596875
transcript.pyannote[2060].end 11378.26971875
transcript.pyannote[2061].speaker SPEAKER_07
transcript.pyannote[2061].start 11377.49346875
transcript.pyannote[2061].end 11379.99096875
transcript.pyannote[2062].speaker SPEAKER_19
transcript.pyannote[2062].start 11379.80534375
transcript.pyannote[2062].end 11381.30721875
transcript.pyannote[2063].speaker SPEAKER_07
transcript.pyannote[2063].start 11380.51409375
transcript.pyannote[2063].end 11382.74159375
transcript.pyannote[2064].speaker SPEAKER_19
transcript.pyannote[2064].start 11381.64471875
transcript.pyannote[2064].end 11385.37409375
transcript.pyannote[2065].speaker SPEAKER_07
transcript.pyannote[2065].start 11385.37409375
transcript.pyannote[2065].end 11388.31034375
transcript.pyannote[2066].speaker SPEAKER_19
transcript.pyannote[2066].start 11385.69471875
transcript.pyannote[2066].end 11386.75784375
transcript.pyannote[2067].speaker SPEAKER_07
transcript.pyannote[2067].start 11388.63096875
transcript.pyannote[2067].end 11393.72721875
transcript.pyannote[2068].speaker SPEAKER_07
transcript.pyannote[2068].start 11394.58784375
transcript.pyannote[2068].end 11401.92846875
transcript.pyannote[2069].speaker SPEAKER_07
transcript.pyannote[2069].start 11402.31659375
transcript.pyannote[2069].end 11405.05034375
transcript.pyannote[2070].speaker SPEAKER_07
transcript.pyannote[2070].start 11405.64096875
transcript.pyannote[2070].end 11410.11284375
transcript.pyannote[2071].speaker SPEAKER_07
transcript.pyannote[2071].start 11410.43346875
transcript.pyannote[2071].end 11412.74534375
transcript.pyannote[2072].speaker SPEAKER_07
transcript.pyannote[2072].start 11412.93096875
transcript.pyannote[2072].end 11416.08659375
transcript.pyannote[2073].speaker SPEAKER_07
transcript.pyannote[2073].start 11416.45784375
transcript.pyannote[2073].end 11417.53784375
transcript.pyannote[2074].speaker SPEAKER_07
transcript.pyannote[2074].start 11418.31409375
transcript.pyannote[2074].end 11419.42784375
transcript.pyannote[2075].speaker SPEAKER_07
transcript.pyannote[2075].start 11419.86659375
transcript.pyannote[2075].end 11421.62159375
transcript.pyannote[2076].speaker SPEAKER_07
transcript.pyannote[2076].start 11421.89159375
transcript.pyannote[2076].end 11429.50221875
transcript.pyannote[2077].speaker SPEAKER_07
transcript.pyannote[2077].start 11430.19409375
transcript.pyannote[2077].end 11439.22221875
transcript.pyannote[2078].speaker SPEAKER_07
transcript.pyannote[2078].start 11439.82971875
transcript.pyannote[2078].end 11442.41159375
transcript.pyannote[2079].speaker SPEAKER_07
transcript.pyannote[2079].start 11443.60971875
transcript.pyannote[2079].end 11444.06534375
transcript.pyannote[2080].speaker SPEAKER_07
transcript.pyannote[2080].start 11444.82471875
transcript.pyannote[2080].end 11446.78221875
transcript.pyannote[2081].speaker SPEAKER_17
transcript.pyannote[2081].start 11444.92596875
transcript.pyannote[2081].end 11445.26346875
transcript.pyannote[2082].speaker SPEAKER_07
transcript.pyannote[2082].start 11447.33909375
transcript.pyannote[2082].end 11453.81909375
transcript.pyannote[2083].speaker SPEAKER_07
transcript.pyannote[2083].start 11454.35909375
transcript.pyannote[2083].end 11457.02534375
transcript.pyannote[2084].speaker SPEAKER_07
transcript.pyannote[2084].start 11457.59909375
transcript.pyannote[2084].end 11463.50534375
transcript.pyannote[2085].speaker SPEAKER_07
transcript.pyannote[2085].start 11464.29846875
transcript.pyannote[2085].end 11466.76221875
transcript.pyannote[2086].speaker SPEAKER_07
transcript.pyannote[2086].start 11467.47096875
transcript.pyannote[2086].end 11470.72784375
transcript.pyannote[2087].speaker SPEAKER_07
transcript.pyannote[2087].start 11471.40284375
transcript.pyannote[2087].end 11476.43159375
transcript.pyannote[2088].speaker SPEAKER_09
transcript.pyannote[2088].start 11476.93784375
transcript.pyannote[2088].end 11478.69284375
transcript.pyannote[2089].speaker SPEAKER_09
transcript.pyannote[2089].start 11479.06409375
transcript.pyannote[2089].end 11479.82346875
transcript.pyannote[2090].speaker SPEAKER_09
transcript.pyannote[2090].start 11480.17784375
transcript.pyannote[2090].end 11484.29534375
transcript.pyannote[2091].speaker SPEAKER_09
transcript.pyannote[2091].start 11485.03784375
transcript.pyannote[2091].end 11486.08409375
transcript.pyannote[2092].speaker SPEAKER_09
transcript.pyannote[2092].start 11486.40471875
transcript.pyannote[2092].end 11488.15971875
transcript.pyannote[2093].speaker SPEAKER_09
transcript.pyannote[2093].start 11488.53096875
transcript.pyannote[2093].end 11496.05721875
transcript.pyannote[2094].speaker SPEAKER_07
transcript.pyannote[2094].start 11493.39096875
transcript.pyannote[2094].end 11498.53784375
transcript.pyannote[2095].speaker SPEAKER_09
transcript.pyannote[2095].start 11498.45346875
transcript.pyannote[2095].end 11498.53784375
transcript.pyannote[2096].speaker SPEAKER_17
transcript.pyannote[2096].start 11498.53784375
transcript.pyannote[2096].end 11498.74034375
transcript.pyannote[2097].speaker SPEAKER_07
transcript.pyannote[2097].start 11498.74034375
transcript.pyannote[2097].end 11503.17846875
transcript.pyannote[2098].speaker SPEAKER_17
transcript.pyannote[2098].start 11503.31346875
transcript.pyannote[2098].end 11503.70159375
transcript.pyannote[2099].speaker SPEAKER_07
transcript.pyannote[2099].start 11503.87034375
transcript.pyannote[2099].end 11505.13596875
transcript.pyannote[2100].speaker SPEAKER_07
transcript.pyannote[2100].start 11505.47346875
transcript.pyannote[2100].end 11517.33659375
transcript.pyannote[2101].speaker SPEAKER_17
transcript.pyannote[2101].start 11505.49034375
transcript.pyannote[2101].end 11506.08096875
transcript.pyannote[2102].speaker SPEAKER_17
transcript.pyannote[2102].start 11507.31284375
transcript.pyannote[2102].end 11507.70096875
transcript.pyannote[2103].speaker SPEAKER_17
transcript.pyannote[2103].start 11508.22409375
transcript.pyannote[2103].end 11508.35909375
transcript.pyannote[2104].speaker SPEAKER_17
transcript.pyannote[2104].start 11517.48846875
transcript.pyannote[2104].end 11518.99034375
transcript.pyannote[2105].speaker SPEAKER_07
transcript.pyannote[2105].start 11517.97784375
transcript.pyannote[2105].end 11533.75596875
transcript.pyannote[2106].speaker SPEAKER_17
transcript.pyannote[2106].start 11533.14846875
transcript.pyannote[2106].end 11534.14409375
transcript.pyannote[2107].speaker SPEAKER_07
transcript.pyannote[2107].start 11534.09346875
transcript.pyannote[2107].end 11537.75534375
transcript.pyannote[2108].speaker SPEAKER_17
transcript.pyannote[2108].start 11535.03846875
transcript.pyannote[2108].end 11536.86096875
transcript.pyannote[2109].speaker SPEAKER_07
transcript.pyannote[2109].start 11538.59909375
transcript.pyannote[2109].end 11543.76284375
transcript.pyannote[2110].speaker SPEAKER_07
transcript.pyannote[2110].start 11544.13409375
transcript.pyannote[2110].end 11546.36159375
transcript.pyannote[2111].speaker SPEAKER_07
transcript.pyannote[2111].start 11546.81721875
transcript.pyannote[2111].end 11550.96846875
transcript.pyannote[2112].speaker SPEAKER_09
transcript.pyannote[2112].start 11551.57596875
transcript.pyannote[2112].end 11552.47034375
transcript.pyannote[2113].speaker SPEAKER_09
transcript.pyannote[2113].start 11552.89221875
transcript.pyannote[2113].end 11555.60909375
transcript.pyannote[2114].speaker SPEAKER_09
transcript.pyannote[2114].start 11555.82846875
transcript.pyannote[2114].end 11560.43534375
transcript.pyannote[2115].speaker SPEAKER_07
transcript.pyannote[2115].start 11559.33846875
transcript.pyannote[2115].end 11569.48034375
transcript.pyannote[2116].speaker SPEAKER_09
transcript.pyannote[2116].start 11561.07659375
transcript.pyannote[2116].end 11561.85284375
transcript.pyannote[2117].speaker SPEAKER_09
transcript.pyannote[2117].start 11569.27784375
transcript.pyannote[2117].end 11574.10409375
transcript.pyannote[2118].speaker SPEAKER_07
transcript.pyannote[2118].start 11570.30721875
transcript.pyannote[2118].end 11571.92721875
transcript.pyannote[2119].speaker SPEAKER_07
transcript.pyannote[2119].start 11573.34471875
transcript.pyannote[2119].end 11576.41596875
transcript.pyannote[2120].speaker SPEAKER_07
transcript.pyannote[2120].start 11576.60159375
transcript.pyannote[2120].end 11580.43221875
transcript.pyannote[2121].speaker SPEAKER_09
transcript.pyannote[2121].start 11581.96784375
transcript.pyannote[2121].end 11583.84096875
transcript.pyannote[2122].speaker SPEAKER_07
transcript.pyannote[2122].start 11583.77346875
transcript.pyannote[2122].end 11588.81909375
transcript.pyannote[2123].speaker SPEAKER_09
transcript.pyannote[2123].start 11591.43471875
transcript.pyannote[2123].end 11593.79721875
transcript.pyannote[2124].speaker SPEAKER_07
transcript.pyannote[2124].start 11593.40909375
transcript.pyannote[2124].end 11597.98221875
transcript.pyannote[2125].speaker SPEAKER_07
transcript.pyannote[2125].start 11598.47159375
transcript.pyannote[2125].end 11601.96471875
transcript.pyannote[2126].speaker SPEAKER_07
transcript.pyannote[2126].start 11602.65659375
transcript.pyannote[2126].end 11607.31409375
transcript.pyannote[2127].speaker SPEAKER_21
transcript.pyannote[2127].start 11607.34784375
transcript.pyannote[2127].end 11607.36471875
transcript.pyannote[2128].speaker SPEAKER_09
transcript.pyannote[2128].start 11607.36471875
transcript.pyannote[2128].end 11607.83721875
transcript.pyannote[2129].speaker SPEAKER_07
transcript.pyannote[2129].start 11607.83721875
transcript.pyannote[2129].end 11608.29284375
transcript.pyannote[2130].speaker SPEAKER_07
transcript.pyannote[2130].start 11608.66409375
transcript.pyannote[2130].end 11610.72284375
transcript.pyannote[2131].speaker SPEAKER_09
transcript.pyannote[2131].start 11611.17846875
transcript.pyannote[2131].end 11612.68034375
transcript.pyannote[2132].speaker SPEAKER_07
transcript.pyannote[2132].start 11612.08971875
transcript.pyannote[2132].end 11614.57034375
transcript.pyannote[2133].speaker SPEAKER_07
transcript.pyannote[2133].start 11615.29596875
transcript.pyannote[2133].end 11617.45596875
transcript.pyannote[2134].speaker SPEAKER_09
transcript.pyannote[2134].start 11617.42221875
transcript.pyannote[2134].end 11621.40471875
transcript.pyannote[2135].speaker SPEAKER_07
transcript.pyannote[2135].start 11618.16471875
transcript.pyannote[2135].end 11623.59846875
transcript.pyannote[2136].speaker SPEAKER_07
transcript.pyannote[2136].start 11625.94409375
transcript.pyannote[2136].end 11628.27284375
transcript.pyannote[2137].speaker SPEAKER_07
transcript.pyannote[2137].start 11628.61034375
transcript.pyannote[2137].end 11640.43971875
transcript.pyannote[2138].speaker SPEAKER_17
transcript.pyannote[2138].start 11639.00534375
transcript.pyannote[2138].end 11639.35971875
transcript.pyannote[2139].speaker SPEAKER_17
transcript.pyannote[2139].start 11641.19909375
transcript.pyannote[2139].end 11641.23284375
transcript.pyannote[2140].speaker SPEAKER_07
transcript.pyannote[2140].start 11641.23284375
transcript.pyannote[2140].end 11650.15971875
transcript.pyannote[2141].speaker SPEAKER_17
transcript.pyannote[2141].start 11641.24971875
transcript.pyannote[2141].end 11641.97534375
transcript.pyannote[2142].speaker SPEAKER_09
transcript.pyannote[2142].start 11650.09221875
transcript.pyannote[2142].end 11650.93596875
transcript.pyannote[2143].speaker SPEAKER_07
transcript.pyannote[2143].start 11651.27346875
transcript.pyannote[2143].end 11653.16346875
transcript.pyannote[2144].speaker SPEAKER_00
transcript.pyannote[2144].start 11651.52659375
transcript.pyannote[2144].end 11652.06659375
transcript.pyannote[2145].speaker SPEAKER_17
transcript.pyannote[2145].start 11652.06659375
transcript.pyannote[2145].end 11652.13409375
transcript.pyannote[2146].speaker SPEAKER_00
transcript.pyannote[2146].start 11652.13409375
transcript.pyannote[2146].end 11652.33659375
transcript.pyannote[2147].speaker SPEAKER_09
transcript.pyannote[2147].start 11652.33659375
transcript.pyannote[2147].end 11656.43721875
transcript.pyannote[2148].speaker SPEAKER_07
transcript.pyannote[2148].start 11654.14221875
transcript.pyannote[2148].end 11657.66909375
transcript.pyannote[2149].speaker SPEAKER_09
transcript.pyannote[2149].start 11657.87159375
transcript.pyannote[2149].end 11658.71534375
transcript.pyannote[2150].speaker SPEAKER_07
transcript.pyannote[2150].start 11658.71534375
transcript.pyannote[2150].end 11659.33971875
transcript.pyannote[2151].speaker SPEAKER_07
transcript.pyannote[2151].start 11660.03159375
transcript.pyannote[2151].end 11662.84971875
transcript.pyannote[2152].speaker SPEAKER_07
transcript.pyannote[2152].start 11663.37284375
transcript.pyannote[2152].end 11664.72284375
transcript.pyannote[2153].speaker SPEAKER_07
transcript.pyannote[2153].start 11665.09409375
transcript.pyannote[2153].end 11667.15284375
transcript.pyannote[2154].speaker SPEAKER_07
transcript.pyannote[2154].start 11667.55784375
transcript.pyannote[2154].end 11669.07659375
transcript.pyannote[2155].speaker SPEAKER_07
transcript.pyannote[2155].start 11669.11034375
transcript.pyannote[2155].end 11673.51471875
transcript.pyannote[2156].speaker SPEAKER_07
transcript.pyannote[2156].start 11674.02096875
transcript.pyannote[2156].end 11678.39159375
transcript.pyannote[2157].speaker SPEAKER_07
transcript.pyannote[2157].start 11679.33659375
transcript.pyannote[2157].end 11680.80471875
transcript.pyannote[2158].speaker SPEAKER_07
transcript.pyannote[2158].start 11681.17596875
transcript.pyannote[2158].end 11683.23471875
transcript.pyannote[2159].speaker SPEAKER_07
transcript.pyannote[2159].start 11683.94346875
transcript.pyannote[2159].end 11685.51284375
transcript.pyannote[2160].speaker SPEAKER_07
transcript.pyannote[2160].start 11685.83346875
transcript.pyannote[2160].end 11691.18284375
transcript.pyannote[2161].speaker SPEAKER_07
transcript.pyannote[2161].start 11692.17846875
transcript.pyannote[2161].end 11696.26221875
transcript.pyannote[2162].speaker SPEAKER_07
transcript.pyannote[2162].start 11696.88659375
transcript.pyannote[2162].end 11701.86471875
transcript.pyannote[2163].speaker SPEAKER_07
transcript.pyannote[2163].start 11702.15159375
transcript.pyannote[2163].end 11705.76284375
transcript.pyannote[2164].speaker SPEAKER_07
transcript.pyannote[2164].start 11706.21846875
transcript.pyannote[2164].end 11707.60221875
transcript.pyannote[2165].speaker SPEAKER_07
transcript.pyannote[2165].start 11708.41221875
transcript.pyannote[2165].end 11710.35284375
transcript.pyannote[2166].speaker SPEAKER_07
transcript.pyannote[2166].start 11710.82534375
transcript.pyannote[2166].end 11717.64284375
transcript.pyannote[2167].speaker SPEAKER_07
transcript.pyannote[2167].start 11717.96346875
transcript.pyannote[2167].end 11724.17346875
transcript.pyannote[2168].speaker SPEAKER_07
transcript.pyannote[2168].start 11724.96659375
transcript.pyannote[2168].end 11728.15596875
transcript.pyannote[2169].speaker SPEAKER_07
transcript.pyannote[2169].start 11728.42596875
transcript.pyannote[2169].end 11730.70409375
transcript.pyannote[2170].speaker SPEAKER_07
transcript.pyannote[2170].start 11731.15971875
transcript.pyannote[2170].end 11736.47534375
transcript.pyannote[2171].speaker SPEAKER_07
transcript.pyannote[2171].start 11736.66096875
transcript.pyannote[2171].end 11740.59284375
transcript.pyannote[2172].speaker SPEAKER_07
transcript.pyannote[2172].start 11741.25096875
transcript.pyannote[2172].end 11749.62096875
transcript.pyannote[2173].speaker SPEAKER_07
transcript.pyannote[2173].start 11750.59971875
transcript.pyannote[2173].end 11752.59096875
transcript.pyannote[2174].speaker SPEAKER_07
transcript.pyannote[2174].start 11752.97909375
transcript.pyannote[2174].end 11756.53971875
transcript.pyannote[2175].speaker SPEAKER_07
transcript.pyannote[2175].start 11756.89409375
transcript.pyannote[2175].end 11760.33659375
transcript.pyannote[2176].speaker SPEAKER_07
transcript.pyannote[2176].start 11760.65721875
transcript.pyannote[2176].end 11766.29346875
transcript.pyannote[2177].speaker SPEAKER_07
transcript.pyannote[2177].start 11766.74909375
transcript.pyannote[2177].end 11770.79909375
transcript.pyannote[2178].speaker SPEAKER_07
transcript.pyannote[2178].start 11771.44034375
transcript.pyannote[2178].end 11782.44284375
transcript.pyannote[2179].speaker SPEAKER_07
transcript.pyannote[2179].start 11783.33721875
transcript.pyannote[2179].end 11785.02471875
transcript.pyannote[2180].speaker SPEAKER_07
transcript.pyannote[2180].start 11785.73346875
transcript.pyannote[2180].end 11788.09596875
transcript.pyannote[2181].speaker SPEAKER_07
transcript.pyannote[2181].start 11788.46721875
transcript.pyannote[2181].end 11793.10784375
transcript.pyannote[2182].speaker SPEAKER_07
transcript.pyannote[2182].start 11793.52971875
transcript.pyannote[2182].end 11796.76971875
transcript.pyannote[2183].speaker SPEAKER_07
transcript.pyannote[2183].start 11796.88784375
transcript.pyannote[2183].end 11799.73971875
transcript.pyannote[2184].speaker SPEAKER_07
transcript.pyannote[2184].start 11800.16159375
transcript.pyannote[2184].end 11800.97159375
transcript.pyannote[2185].speaker SPEAKER_07
transcript.pyannote[2185].start 11801.30909375
transcript.pyannote[2185].end 11803.09784375
transcript.pyannote[2186].speaker SPEAKER_07
transcript.pyannote[2186].start 11803.94159375
transcript.pyannote[2186].end 11807.45159375
transcript.pyannote[2187].speaker SPEAKER_07
transcript.pyannote[2187].start 11807.72159375
transcript.pyannote[2187].end 11811.72096875
transcript.pyannote[2188].speaker SPEAKER_07
transcript.pyannote[2188].start 11812.59846875
transcript.pyannote[2188].end 11816.22659375
transcript.pyannote[2189].speaker SPEAKER_07
transcript.pyannote[2189].start 11816.49659375
transcript.pyannote[2189].end 11827.85346875
transcript.pyannote[2190].speaker SPEAKER_19
transcript.pyannote[2190].start 11829.08534375
transcript.pyannote[2190].end 11832.94971875
transcript.pyannote[2191].speaker SPEAKER_07
transcript.pyannote[2191].start 11834.02971875
transcript.pyannote[2191].end 11834.33346875
transcript.pyannote[2192].speaker SPEAKER_19
transcript.pyannote[2192].start 11834.33346875
transcript.pyannote[2192].end 11835.19409375
transcript.pyannote[2193].speaker SPEAKER_07
transcript.pyannote[2193].start 11835.26159375
transcript.pyannote[2193].end 11841.03284375
transcript.pyannote[2194].speaker SPEAKER_19
transcript.pyannote[2194].start 11836.62846875
transcript.pyannote[2194].end 11837.62409375
transcript.pyannote[2195].speaker SPEAKER_19
transcript.pyannote[2195].start 11841.03284375
transcript.pyannote[2195].end 11844.76221875
transcript.pyannote[2196].speaker SPEAKER_19
transcript.pyannote[2196].start 11845.74096875
transcript.pyannote[2196].end 11848.86284375
transcript.pyannote[2197].speaker SPEAKER_19
transcript.pyannote[2197].start 11849.55471875
transcript.pyannote[2197].end 11851.79909375
transcript.pyannote[2198].speaker SPEAKER_07
transcript.pyannote[2198].start 11851.88346875
transcript.pyannote[2198].end 11873.92221875
transcript.pyannote[2199].speaker SPEAKER_19
transcript.pyannote[2199].start 11855.54534375
transcript.pyannote[2199].end 11857.51971875
transcript.pyannote[2200].speaker SPEAKER_19
transcript.pyannote[2200].start 11859.56159375
transcript.pyannote[2200].end 11861.35034375
transcript.pyannote[2201].speaker SPEAKER_19
transcript.pyannote[2201].start 11864.32034375
transcript.pyannote[2201].end 11866.85159375
transcript.pyannote[2202].speaker SPEAKER_19
transcript.pyannote[2202].start 11873.92221875
transcript.pyannote[2202].end 11874.49596875
transcript.pyannote[2203].speaker SPEAKER_07
transcript.pyannote[2203].start 11874.49596875
transcript.pyannote[2203].end 11877.09471875
transcript.pyannote[2204].speaker SPEAKER_19
transcript.pyannote[2204].start 11877.09471875
transcript.pyannote[2204].end 11882.22471875
transcript.pyannote[2205].speaker SPEAKER_07
transcript.pyannote[2205].start 11877.12846875
transcript.pyannote[2205].end 11877.16221875
transcript.pyannote[2206].speaker SPEAKER_07
transcript.pyannote[2206].start 11877.61784375
transcript.pyannote[2206].end 11883.20346875
transcript.pyannote[2207].speaker SPEAKER_07
transcript.pyannote[2207].start 11883.30471875
transcript.pyannote[2207].end 11908.63409375
transcript.pyannote[2208].speaker SPEAKER_19
transcript.pyannote[2208].start 11886.81471875
transcript.pyannote[2208].end 11887.33784375
transcript.pyannote[2209].speaker SPEAKER_17
transcript.pyannote[2209].start 11887.33784375
transcript.pyannote[2209].end 11890.56096875
transcript.pyannote[2210].speaker SPEAKER_19
transcript.pyannote[2210].start 11902.32284375
transcript.pyannote[2210].end 11905.27596875
transcript.pyannote[2211].speaker SPEAKER_19
transcript.pyannote[2211].start 11906.01846875
transcript.pyannote[2211].end 11908.71846875
transcript.pyannote[2212].speaker SPEAKER_07
transcript.pyannote[2212].start 11908.71846875
transcript.pyannote[2212].end 11909.84909375
transcript.pyannote[2213].speaker SPEAKER_19
transcript.pyannote[2213].start 11910.25409375
transcript.pyannote[2213].end 11913.74721875
transcript.pyannote[2214].speaker SPEAKER_07
transcript.pyannote[2214].start 11914.08471875
transcript.pyannote[2214].end 11917.79721875
transcript.pyannote[2215].speaker SPEAKER_19
transcript.pyannote[2215].start 11916.05909375
transcript.pyannote[2215].end 11918.20221875
transcript.pyannote[2216].speaker SPEAKER_07
transcript.pyannote[2216].start 11918.20221875
transcript.pyannote[2216].end 11924.95221875
transcript.pyannote[2217].speaker SPEAKER_07
transcript.pyannote[2217].start 11925.59346875
transcript.pyannote[2217].end 11936.32596875
transcript.pyannote[2218].speaker SPEAKER_22
transcript.pyannote[2218].start 11926.85909375
transcript.pyannote[2218].end 11927.65221875
transcript.pyannote[2219].speaker SPEAKER_17
transcript.pyannote[2219].start 11927.65221875
transcript.pyannote[2219].end 11928.04034375
transcript.pyannote[2220].speaker SPEAKER_19
transcript.pyannote[2220].start 11928.04034375
transcript.pyannote[2220].end 11928.12471875
transcript.pyannote[2221].speaker SPEAKER_17
transcript.pyannote[2221].start 11928.12471875
transcript.pyannote[2221].end 11928.47909375
transcript.pyannote[2222].speaker SPEAKER_15
transcript.pyannote[2222].start 11928.47909375
transcript.pyannote[2222].end 11928.63096875
transcript.pyannote[2223].speaker SPEAKER_17
transcript.pyannote[2223].start 11928.63096875
transcript.pyannote[2223].end 11928.64784375
transcript.pyannote[2224].speaker SPEAKER_19
transcript.pyannote[2224].start 11928.64784375
transcript.pyannote[2224].end 11928.76596875
transcript.pyannote[2225].speaker SPEAKER_17
transcript.pyannote[2225].start 11930.77409375
transcript.pyannote[2225].end 11930.79096875
transcript.pyannote[2226].speaker SPEAKER_19
transcript.pyannote[2226].start 11930.79096875
transcript.pyannote[2226].end 11931.48284375
transcript.pyannote[2227].speaker SPEAKER_19
transcript.pyannote[2227].start 11932.09034375
transcript.pyannote[2227].end 11933.06909375
transcript.pyannote[2228].speaker SPEAKER_07
transcript.pyannote[2228].start 11936.61284375
transcript.pyannote[2228].end 11944.54409375
transcript.pyannote[2229].speaker SPEAKER_07
transcript.pyannote[2229].start 11944.64534375
transcript.pyannote[2229].end 11957.35221875
transcript.pyannote[2230].speaker SPEAKER_07
transcript.pyannote[2230].start 11957.36909375
transcript.pyannote[2230].end 11958.33096875
transcript.pyannote[2231].speaker SPEAKER_07
transcript.pyannote[2231].start 11958.97221875
transcript.pyannote[2231].end 11966.66721875
transcript.pyannote[2232].speaker SPEAKER_07
transcript.pyannote[2232].start 11967.51096875
transcript.pyannote[2232].end 11971.54409375
transcript.pyannote[2233].speaker SPEAKER_17
transcript.pyannote[2233].start 11971.54409375
transcript.pyannote[2233].end 11972.01659375
transcript.pyannote[2234].speaker SPEAKER_07
transcript.pyannote[2234].start 11972.03346875
transcript.pyannote[2234].end 11975.54346875
transcript.pyannote[2235].speaker SPEAKER_07
transcript.pyannote[2235].start 11976.26909375
transcript.pyannote[2235].end 11986.66409375
transcript.pyannote[2236].speaker SPEAKER_09
transcript.pyannote[2236].start 11987.20409375
transcript.pyannote[2236].end 11988.36846875
transcript.pyannote[2237].speaker SPEAKER_07
transcript.pyannote[2237].start 11988.36846875
transcript.pyannote[2237].end 11991.15284375
transcript.pyannote[2238].speaker SPEAKER_07
transcript.pyannote[2238].start 11991.37221875
transcript.pyannote[2238].end 12003.57284375
transcript.pyannote[2239].speaker SPEAKER_07
transcript.pyannote[2239].start 12003.96096875
transcript.pyannote[2239].end 12007.52159375
transcript.pyannote[2240].speaker SPEAKER_07
transcript.pyannote[2240].start 12007.99409375
transcript.pyannote[2240].end 12011.79096875
transcript.pyannote[2241].speaker SPEAKER_07
transcript.pyannote[2241].start 12012.26346875
transcript.pyannote[2241].end 12022.94534375
transcript.pyannote[2242].speaker SPEAKER_07
transcript.pyannote[2242].start 12023.29971875
transcript.pyannote[2242].end 12028.37909375
transcript.pyannote[2243].speaker SPEAKER_09
transcript.pyannote[2243].start 12028.78409375
transcript.pyannote[2243].end 12032.51346875
transcript.pyannote[2244].speaker SPEAKER_07
transcript.pyannote[2244].start 12031.41659375
transcript.pyannote[2244].end 12036.91784375
transcript.pyannote[2245].speaker SPEAKER_09
transcript.pyannote[2245].start 12036.91784375
transcript.pyannote[2245].end 12037.35659375
transcript.pyannote[2246].speaker SPEAKER_07
transcript.pyannote[2246].start 12037.55909375
transcript.pyannote[2246].end 12038.50409375
transcript.pyannote[2247].speaker SPEAKER_07
transcript.pyannote[2247].start 12039.01034375
transcript.pyannote[2247].end 12040.66409375
transcript.pyannote[2248].speaker SPEAKER_07
transcript.pyannote[2248].start 12042.99284375
transcript.pyannote[2248].end 12047.36346875
transcript.pyannote[2249].speaker SPEAKER_07
transcript.pyannote[2249].start 12047.63346875
transcript.pyannote[2249].end 12050.63721875
transcript.pyannote[2250].speaker SPEAKER_07
transcript.pyannote[2250].start 12050.89034375
transcript.pyannote[2250].end 12055.96971875
transcript.pyannote[2251].speaker SPEAKER_09
transcript.pyannote[2251].start 12056.35784375
transcript.pyannote[2251].end 12057.01596875
transcript.pyannote[2252].speaker SPEAKER_07
transcript.pyannote[2252].start 12057.45471875
transcript.pyannote[2252].end 12058.34909375
transcript.pyannote[2253].speaker SPEAKER_09
transcript.pyannote[2253].start 12058.77096875
transcript.pyannote[2253].end 12063.00659375
transcript.pyannote[2254].speaker SPEAKER_07
transcript.pyannote[2254].start 12063.00659375
transcript.pyannote[2254].end 12068.17034375
transcript.pyannote[2255].speaker SPEAKER_09
transcript.pyannote[2255].start 12068.23784375
transcript.pyannote[2255].end 12070.06034375
transcript.pyannote[2256].speaker SPEAKER_07
transcript.pyannote[2256].start 12069.38534375
transcript.pyannote[2256].end 12072.92909375
transcript.pyannote[2257].speaker SPEAKER_09
transcript.pyannote[2257].start 12070.54971875
transcript.pyannote[2257].end 12070.88721875
transcript.pyannote[2258].speaker SPEAKER_07
transcript.pyannote[2258].start 12073.45221875
transcript.pyannote[2258].end 12074.00909375
transcript.pyannote[2259].speaker SPEAKER_09
transcript.pyannote[2259].start 12074.04284375
transcript.pyannote[2259].end 12074.46471875
transcript.pyannote[2260].speaker SPEAKER_07
transcript.pyannote[2260].start 12074.48159375
transcript.pyannote[2260].end 12076.13534375
transcript.pyannote[2261].speaker SPEAKER_07
transcript.pyannote[2261].start 12077.14784375
transcript.pyannote[2261].end 12078.29534375
transcript.pyannote[2262].speaker SPEAKER_09
transcript.pyannote[2262].start 12078.49784375
transcript.pyannote[2262].end 12079.79721875
transcript.pyannote[2263].speaker SPEAKER_07
transcript.pyannote[2263].start 12079.96596875
transcript.pyannote[2263].end 12080.82659375
transcript.pyannote[2264].speaker SPEAKER_07
transcript.pyannote[2264].start 12081.19784375
transcript.pyannote[2264].end 12084.57284375
transcript.pyannote[2265].speaker SPEAKER_07
transcript.pyannote[2265].start 12085.04534375
transcript.pyannote[2265].end 12086.81721875
transcript.pyannote[2266].speaker SPEAKER_09
transcript.pyannote[2266].start 12087.28971875
transcript.pyannote[2266].end 12088.77471875
transcript.pyannote[2267].speaker SPEAKER_07
transcript.pyannote[2267].start 12088.94346875
transcript.pyannote[2267].end 12092.92596875
transcript.pyannote[2268].speaker SPEAKER_09
transcript.pyannote[2268].start 12089.98971875
transcript.pyannote[2268].end 12090.58034375
transcript.pyannote[2269].speaker SPEAKER_09
transcript.pyannote[2269].start 12090.85034375
transcript.pyannote[2269].end 12091.32284375
transcript.pyannote[2270].speaker SPEAKER_09
transcript.pyannote[2270].start 12091.52534375
transcript.pyannote[2270].end 12091.96409375
transcript.pyannote[2271].speaker SPEAKER_07
transcript.pyannote[2271].start 12092.97659375
transcript.pyannote[2271].end 12092.99346875
transcript.pyannote[2272].speaker SPEAKER_07
transcript.pyannote[2272].start 12093.06096875
transcript.pyannote[2272].end 12095.59221875
transcript.pyannote[2273].speaker SPEAKER_07
transcript.pyannote[2273].start 12096.26721875
transcript.pyannote[2273].end 12106.71284375
transcript.pyannote[2274].speaker SPEAKER_00
transcript.pyannote[2274].start 12104.60346875
transcript.pyannote[2274].end 12104.62034375
transcript.pyannote[2275].speaker SPEAKER_17
transcript.pyannote[2275].start 12104.62034375
transcript.pyannote[2275].end 12104.63721875
transcript.pyannote[2276].speaker SPEAKER_23
transcript.pyannote[2276].start 12104.63721875
transcript.pyannote[2276].end 12105.00846875
transcript.pyannote[2277].speaker SPEAKER_07
transcript.pyannote[2277].start 12107.20221875
transcript.pyannote[2277].end 12108.88971875
transcript.pyannote[2278].speaker SPEAKER_07
transcript.pyannote[2278].start 12109.41284375
transcript.pyannote[2278].end 12114.61034375
transcript.pyannote[2279].speaker SPEAKER_17
transcript.pyannote[2279].start 12114.61034375
transcript.pyannote[2279].end 12114.96471875
transcript.pyannote[2280].speaker SPEAKER_09
transcript.pyannote[2280].start 12114.96471875
transcript.pyannote[2280].end 12114.98159375
transcript.pyannote[2281].speaker SPEAKER_07
transcript.pyannote[2281].start 12114.98159375
transcript.pyannote[2281].end 12117.15846875
transcript.pyannote[2282].speaker SPEAKER_07
transcript.pyannote[2282].start 12117.36096875
transcript.pyannote[2282].end 12119.90909375
transcript.pyannote[2283].speaker SPEAKER_09
transcript.pyannote[2283].start 12120.28034375
transcript.pyannote[2283].end 12127.63784375
transcript.pyannote[2284].speaker SPEAKER_07
transcript.pyannote[2284].start 12123.77346875
transcript.pyannote[2284].end 12125.24159375
transcript.pyannote[2285].speaker SPEAKER_07
transcript.pyannote[2285].start 12126.45659375
transcript.pyannote[2285].end 12149.98034375
transcript.pyannote[2286].speaker SPEAKER_09
transcript.pyannote[2286].start 12128.19471875
transcript.pyannote[2286].end 12128.61659375
transcript.pyannote[2287].speaker SPEAKER_17
transcript.pyannote[2287].start 12142.70721875
transcript.pyannote[2287].end 12143.01096875
transcript.pyannote[2288].speaker SPEAKER_06
transcript.pyannote[2288].start 12143.01096875
transcript.pyannote[2288].end 12143.36534375
transcript.pyannote[2289].speaker SPEAKER_07
transcript.pyannote[2289].start 12150.14909375
transcript.pyannote[2289].end 12161.03346875
transcript.pyannote[2290].speaker SPEAKER_09
transcript.pyannote[2290].start 12161.50596875
transcript.pyannote[2290].end 12165.91034375
transcript.pyannote[2291].speaker SPEAKER_07
transcript.pyannote[2291].start 12164.99909375
transcript.pyannote[2291].end 12169.20096875
transcript.pyannote[2292].speaker SPEAKER_07
transcript.pyannote[2292].start 12169.43721875
transcript.pyannote[2292].end 12174.71909375
transcript.pyannote[2293].speaker SPEAKER_07
transcript.pyannote[2293].start 12175.14096875
transcript.pyannote[2293].end 12175.73159375
transcript.pyannote[2294].speaker SPEAKER_07
transcript.pyannote[2294].start 12176.49096875
transcript.pyannote[2294].end 12178.65096875
transcript.pyannote[2295].speaker SPEAKER_07
transcript.pyannote[2295].start 12178.93784375
transcript.pyannote[2295].end 12180.65909375
transcript.pyannote[2296].speaker SPEAKER_07
transcript.pyannote[2296].start 12180.79409375
transcript.pyannote[2296].end 12182.12721875
transcript.pyannote[2297].speaker SPEAKER_07
transcript.pyannote[2297].start 12182.71784375
transcript.pyannote[2297].end 12188.06721875
transcript.pyannote[2298].speaker SPEAKER_17
transcript.pyannote[2298].start 12185.35034375
transcript.pyannote[2298].end 12185.55284375
transcript.pyannote[2299].speaker SPEAKER_07
transcript.pyannote[2299].start 12190.07534375
transcript.pyannote[2299].end 12191.47596875
transcript.pyannote[2300].speaker SPEAKER_17
transcript.pyannote[2300].start 12190.80096875
transcript.pyannote[2300].end 12190.83471875
transcript.pyannote[2301].speaker SPEAKER_17
transcript.pyannote[2301].start 12191.77971875
transcript.pyannote[2301].end 12191.83034375
transcript.pyannote[2302].speaker SPEAKER_09
transcript.pyannote[2302].start 12191.83034375
transcript.pyannote[2302].end 12191.86409375
transcript.pyannote[2303].speaker SPEAKER_17
transcript.pyannote[2303].start 12191.86409375
transcript.pyannote[2303].end 12191.91471875
transcript.pyannote[2304].speaker SPEAKER_09
transcript.pyannote[2304].start 12191.91471875
transcript.pyannote[2304].end 12191.94846875
transcript.pyannote[2305].speaker SPEAKER_17
transcript.pyannote[2305].start 12191.94846875
transcript.pyannote[2305].end 12191.99909375
transcript.pyannote[2306].speaker SPEAKER_09
transcript.pyannote[2306].start 12191.99909375
transcript.pyannote[2306].end 12192.01596875
transcript.pyannote[2307].speaker SPEAKER_07
transcript.pyannote[2307].start 12192.25221875
transcript.pyannote[2307].end 12195.54284375
transcript.pyannote[2308].speaker SPEAKER_09
transcript.pyannote[2308].start 12196.36971875
transcript.pyannote[2308].end 12197.28096875
transcript.pyannote[2309].speaker SPEAKER_07
transcript.pyannote[2309].start 12197.28096875
transcript.pyannote[2309].end 12201.76971875
transcript.pyannote[2310].speaker SPEAKER_09
transcript.pyannote[2310].start 12198.12471875
transcript.pyannote[2310].end 12199.52534375
transcript.pyannote[2311].speaker SPEAKER_07
transcript.pyannote[2311].start 12202.15784375
transcript.pyannote[2311].end 12210.34221875
transcript.pyannote[2312].speaker SPEAKER_07
transcript.pyannote[2312].start 12211.10159375
transcript.pyannote[2312].end 12212.24909375
transcript.pyannote[2313].speaker SPEAKER_07
transcript.pyannote[2313].start 12212.80596875
transcript.pyannote[2313].end 12218.18909375
transcript.pyannote[2314].speaker SPEAKER_07
transcript.pyannote[2314].start 12218.39159375
transcript.pyannote[2314].end 12220.92284375
transcript.pyannote[2315].speaker SPEAKER_07
transcript.pyannote[2315].start 12221.39534375
transcript.pyannote[2315].end 12229.24221875
transcript.pyannote[2316].speaker SPEAKER_07
transcript.pyannote[2316].start 12229.32659375
transcript.pyannote[2316].end 12230.96346875
transcript.pyannote[2317].speaker SPEAKER_09
transcript.pyannote[2317].start 12229.36034375
transcript.pyannote[2317].end 12230.25471875
transcript.pyannote[2318].speaker SPEAKER_09
transcript.pyannote[2318].start 12230.96346875
transcript.pyannote[2318].end 12234.38909375
transcript.pyannote[2319].speaker SPEAKER_09
transcript.pyannote[2319].start 12235.45221875
transcript.pyannote[2319].end 12240.73409375
transcript.pyannote[2320].speaker SPEAKER_07
transcript.pyannote[2320].start 12240.66659375
transcript.pyannote[2320].end 12270.01221875
transcript.pyannote[2321].speaker SPEAKER_09
transcript.pyannote[2321].start 12241.37534375
transcript.pyannote[2321].end 12241.93221875
transcript.pyannote[2322].speaker SPEAKER_09
transcript.pyannote[2322].start 12246.11721875
transcript.pyannote[2322].end 12246.97784375
transcript.pyannote[2323].speaker SPEAKER_09
transcript.pyannote[2323].start 12248.19284375
transcript.pyannote[2323].end 12250.25159375
transcript.pyannote[2324].speaker SPEAKER_08
transcript.pyannote[2324].start 12270.94034375
transcript.pyannote[2324].end 12270.97409375
transcript.pyannote[2325].speaker SPEAKER_07
transcript.pyannote[2325].start 12270.97409375
transcript.pyannote[2325].end 12272.39159375
transcript.pyannote[2326].speaker SPEAKER_08
transcript.pyannote[2326].start 12270.99096875
transcript.pyannote[2326].end 12272.76284375
transcript.pyannote[2327].speaker SPEAKER_07
transcript.pyannote[2327].start 12272.88096875
transcript.pyannote[2327].end 12275.80034375
transcript.pyannote[2328].speaker SPEAKER_08
transcript.pyannote[2328].start 12275.69909375
transcript.pyannote[2328].end 12275.96909375
transcript.pyannote[2329].speaker SPEAKER_17
transcript.pyannote[2329].start 12275.96909375
transcript.pyannote[2329].end 12276.01971875
transcript.pyannote[2330].speaker SPEAKER_07
transcript.pyannote[2330].start 12276.57659375
transcript.pyannote[2330].end 12281.36909375
transcript.pyannote[2331].speaker SPEAKER_07
transcript.pyannote[2331].start 12282.02721875
transcript.pyannote[2331].end 12282.88784375
transcript.pyannote[2332].speaker SPEAKER_07
transcript.pyannote[2332].start 12282.93846875
transcript.pyannote[2332].end 12288.76034375
transcript.pyannote[2333].speaker SPEAKER_07
transcript.pyannote[2333].start 12288.82784375
transcript.pyannote[2333].end 12290.83596875
transcript.pyannote[2334].speaker SPEAKER_07
transcript.pyannote[2334].start 12291.56159375
transcript.pyannote[2334].end 12292.64159375
transcript.pyannote[2335].speaker SPEAKER_09
transcript.pyannote[2335].start 12291.66284375
transcript.pyannote[2335].end 12293.13096875
transcript.pyannote[2336].speaker SPEAKER_07
transcript.pyannote[2336].start 12292.84409375
transcript.pyannote[2336].end 12295.03784375
transcript.pyannote[2337].speaker SPEAKER_09
transcript.pyannote[2337].start 12295.74659375
transcript.pyannote[2337].end 12304.04909375
transcript.pyannote[2338].speaker SPEAKER_07
transcript.pyannote[2338].start 12296.89409375
transcript.pyannote[2338].end 12298.14284375
transcript.pyannote[2339].speaker SPEAKER_07
transcript.pyannote[2339].start 12300.60659375
transcript.pyannote[2339].end 12302.20971875
transcript.pyannote[2340].speaker SPEAKER_07
transcript.pyannote[2340].start 12303.22221875
transcript.pyannote[2340].end 12304.92659375
transcript.pyannote[2341].speaker SPEAKER_09
transcript.pyannote[2341].start 12304.45409375
transcript.pyannote[2341].end 12304.53846875
transcript.pyannote[2342].speaker SPEAKER_07
transcript.pyannote[2342].start 12306.39471875
transcript.pyannote[2342].end 12310.46159375
transcript.pyannote[2343].speaker SPEAKER_09
transcript.pyannote[2343].start 12306.41159375
transcript.pyannote[2343].end 12307.50846875
transcript.pyannote[2344].speaker SPEAKER_17
transcript.pyannote[2344].start 12307.50846875
transcript.pyannote[2344].end 12307.55909375
transcript.pyannote[2345].speaker SPEAKER_07
transcript.pyannote[2345].start 12310.96784375
transcript.pyannote[2345].end 12314.30909375
transcript.pyannote[2346].speaker SPEAKER_17
transcript.pyannote[2346].start 12314.20784375
transcript.pyannote[2346].end 12314.24159375
transcript.pyannote[2347].speaker SPEAKER_09
transcript.pyannote[2347].start 12314.24159375
transcript.pyannote[2347].end 12314.59596875
transcript.pyannote[2348].speaker SPEAKER_07
transcript.pyannote[2348].start 12314.69721875
transcript.pyannote[2348].end 12315.87846875
transcript.pyannote[2349].speaker SPEAKER_07
transcript.pyannote[2349].start 12316.26659375
transcript.pyannote[2349].end 12319.06784375
transcript.pyannote[2350].speaker SPEAKER_09
transcript.pyannote[2350].start 12319.32096875
transcript.pyannote[2350].end 12320.04659375
transcript.pyannote[2351].speaker SPEAKER_07
transcript.pyannote[2351].start 12319.62471875
transcript.pyannote[2351].end 12322.35846875
transcript.pyannote[2352].speaker SPEAKER_09
transcript.pyannote[2352].start 12321.02534375
transcript.pyannote[2352].end 12326.02034375
transcript.pyannote[2353].speaker SPEAKER_07
transcript.pyannote[2353].start 12326.02034375
transcript.pyannote[2353].end 12329.29409375
transcript.pyannote[2354].speaker SPEAKER_09
transcript.pyannote[2354].start 12326.07096875
transcript.pyannote[2354].end 12327.57284375
transcript.pyannote[2355].speaker SPEAKER_09
transcript.pyannote[2355].start 12328.51784375
transcript.pyannote[2355].end 12329.12534375
transcript.pyannote[2356].speaker SPEAKER_07
transcript.pyannote[2356].start 12329.54721875
transcript.pyannote[2356].end 12332.31471875
transcript.pyannote[2357].speaker SPEAKER_09
transcript.pyannote[2357].start 12329.68221875
transcript.pyannote[2357].end 12329.96909375
transcript.pyannote[2358].speaker SPEAKER_07
transcript.pyannote[2358].start 12332.71971875
transcript.pyannote[2358].end 12337.22534375
transcript.pyannote[2359].speaker SPEAKER_07
transcript.pyannote[2359].start 12337.56284375
transcript.pyannote[2359].end 12338.42346875
transcript.pyannote[2360].speaker SPEAKER_07
transcript.pyannote[2360].start 12338.52471875
transcript.pyannote[2360].end 12341.74784375
transcript.pyannote[2361].speaker SPEAKER_07
transcript.pyannote[2361].start 12342.32159375
transcript.pyannote[2361].end 12348.37971875
transcript.pyannote[2362].speaker SPEAKER_07
transcript.pyannote[2362].start 12348.63284375
transcript.pyannote[2362].end 12351.60284375
transcript.pyannote[2363].speaker SPEAKER_07
transcript.pyannote[2363].start 12351.85596875
transcript.pyannote[2363].end 12354.03284375
transcript.pyannote[2364].speaker SPEAKER_00
transcript.pyannote[2364].start 12351.95721875
transcript.pyannote[2364].end 12352.24409375
transcript.pyannote[2365].speaker SPEAKER_07
transcript.pyannote[2365].start 12354.40409375
transcript.pyannote[2365].end 12357.10409375
transcript.pyannote[2366].speaker SPEAKER_07
transcript.pyannote[2366].start 12357.52596875
transcript.pyannote[2366].end 12361.10346875
transcript.pyannote[2367].speaker SPEAKER_07
transcript.pyannote[2367].start 12361.60971875
transcript.pyannote[2367].end 12366.67221875
transcript.pyannote[2368].speaker SPEAKER_07
transcript.pyannote[2368].start 12367.34721875
transcript.pyannote[2368].end 12368.39346875
transcript.pyannote[2369].speaker SPEAKER_07
transcript.pyannote[2369].start 12369.00096875
transcript.pyannote[2369].end 12371.88659375
transcript.pyannote[2370].speaker SPEAKER_07
transcript.pyannote[2370].start 12372.32534375
transcript.pyannote[2370].end 12375.86909375
transcript.pyannote[2371].speaker SPEAKER_07
transcript.pyannote[2371].start 12376.71284375
transcript.pyannote[2371].end 12379.15971875
transcript.pyannote[2372].speaker SPEAKER_07
transcript.pyannote[2372].start 12379.71659375
transcript.pyannote[2372].end 12380.69534375
transcript.pyannote[2373].speaker SPEAKER_07
transcript.pyannote[2373].start 12381.16784375
transcript.pyannote[2373].end 12385.63971875
transcript.pyannote[2374].speaker SPEAKER_07
transcript.pyannote[2374].start 12386.16284375
transcript.pyannote[2374].end 12390.07784375
transcript.pyannote[2375].speaker SPEAKER_07
transcript.pyannote[2375].start 12390.46596875
transcript.pyannote[2375].end 12400.81034375
transcript.pyannote[2376].speaker SPEAKER_07
transcript.pyannote[2376].start 12401.40096875
transcript.pyannote[2376].end 12403.86471875
transcript.pyannote[2377].speaker SPEAKER_07
transcript.pyannote[2377].start 12404.53971875
transcript.pyannote[2377].end 12409.85534375
transcript.pyannote[2378].speaker SPEAKER_07
transcript.pyannote[2378].start 12410.54721875
transcript.pyannote[2378].end 12412.01534375
transcript.pyannote[2379].speaker SPEAKER_07
transcript.pyannote[2379].start 12412.35284375
transcript.pyannote[2379].end 12419.25471875
transcript.pyannote[2380].speaker SPEAKER_07
transcript.pyannote[2380].start 12419.67659375
transcript.pyannote[2380].end 12420.67221875
transcript.pyannote[2381].speaker SPEAKER_07
transcript.pyannote[2381].start 12420.97596875
transcript.pyannote[2381].end 12424.68846875
transcript.pyannote[2382].speaker SPEAKER_07
transcript.pyannote[2382].start 12425.21159375
transcript.pyannote[2382].end 12428.23221875
transcript.pyannote[2383].speaker SPEAKER_07
transcript.pyannote[2383].start 12428.75534375
transcript.pyannote[2383].end 12431.32034375
transcript.pyannote[2384].speaker SPEAKER_07
transcript.pyannote[2384].start 12431.33721875
transcript.pyannote[2384].end 12436.60221875
transcript.pyannote[2385].speaker SPEAKER_07
transcript.pyannote[2385].start 12437.04096875
transcript.pyannote[2385].end 12439.58909375
transcript.pyannote[2386].speaker SPEAKER_07
transcript.pyannote[2386].start 12439.80846875
transcript.pyannote[2386].end 12445.24221875
transcript.pyannote[2387].speaker SPEAKER_07
transcript.pyannote[2387].start 12445.69784375
transcript.pyannote[2387].end 12453.88221875
transcript.pyannote[2388].speaker SPEAKER_07
transcript.pyannote[2388].start 12453.89909375
transcript.pyannote[2388].end 12455.73846875
transcript.pyannote[2389].speaker SPEAKER_07
transcript.pyannote[2389].start 12456.41346875
transcript.pyannote[2389].end 12457.88159375
transcript.pyannote[2390].speaker SPEAKER_07
transcript.pyannote[2390].start 12458.18534375
transcript.pyannote[2390].end 12459.13034375
transcript.pyannote[2391].speaker SPEAKER_07
transcript.pyannote[2391].start 12459.48471875
transcript.pyannote[2391].end 12465.89721875
transcript.pyannote[2392].speaker SPEAKER_07
transcript.pyannote[2392].start 12466.43721875
transcript.pyannote[2392].end 12469.82909375
transcript.pyannote[2393].speaker SPEAKER_07
transcript.pyannote[2393].start 12470.20034375
transcript.pyannote[2393].end 12473.59221875
transcript.pyannote[2394].speaker SPEAKER_07
transcript.pyannote[2394].start 12474.31784375
transcript.pyannote[2394].end 12479.97096875
transcript.pyannote[2395].speaker SPEAKER_07
transcript.pyannote[2395].start 12480.46034375
transcript.pyannote[2395].end 12486.75471875
transcript.pyannote[2396].speaker SPEAKER_07
transcript.pyannote[2396].start 12487.76721875
transcript.pyannote[2396].end 12493.65659375
transcript.pyannote[2397].speaker SPEAKER_07
transcript.pyannote[2397].start 12494.04471875
transcript.pyannote[2397].end 12499.05659375
transcript.pyannote[2398].speaker SPEAKER_07
transcript.pyannote[2398].start 12499.54596875
transcript.pyannote[2398].end 12501.45284375
transcript.pyannote[2399].speaker SPEAKER_07
transcript.pyannote[2399].start 12501.77346875
transcript.pyannote[2399].end 12512.43846875
transcript.pyannote[2400].speaker SPEAKER_07
transcript.pyannote[2400].start 12512.69159375
transcript.pyannote[2400].end 12520.52159375
transcript.pyannote[2401].speaker SPEAKER_07
transcript.pyannote[2401].start 12520.92659375
transcript.pyannote[2401].end 12524.11596875
transcript.pyannote[2402].speaker SPEAKER_07
transcript.pyannote[2402].start 12524.48721875
transcript.pyannote[2402].end 12526.88346875
transcript.pyannote[2403].speaker SPEAKER_07
transcript.pyannote[2403].start 12527.32221875
transcript.pyannote[2403].end 12528.04784375
transcript.pyannote[2404].speaker SPEAKER_07
transcript.pyannote[2404].start 12528.14909375
transcript.pyannote[2404].end 12529.76909375
transcript.pyannote[2405].speaker SPEAKER_07
transcript.pyannote[2405].start 12530.66346875
transcript.pyannote[2405].end 12533.46471875
transcript.pyannote[2406].speaker SPEAKER_07
transcript.pyannote[2406].start 12534.05534375
transcript.pyannote[2406].end 12539.50596875
transcript.pyannote[2407].speaker SPEAKER_07
transcript.pyannote[2407].start 12540.58596875
transcript.pyannote[2407].end 12545.19284375
transcript.pyannote[2408].speaker SPEAKER_19
transcript.pyannote[2408].start 12541.31159375
transcript.pyannote[2408].end 12541.96971875
transcript.pyannote[2409].speaker SPEAKER_17
transcript.pyannote[2409].start 12541.96971875
transcript.pyannote[2409].end 12542.56034375
transcript.pyannote[2410].speaker SPEAKER_19
transcript.pyannote[2410].start 12542.56034375
transcript.pyannote[2410].end 12542.61096875
transcript.pyannote[2411].speaker SPEAKER_17
transcript.pyannote[2411].start 12545.51346875
transcript.pyannote[2411].end 12545.53034375
transcript.pyannote[2412].speaker SPEAKER_21
transcript.pyannote[2412].start 12545.53034375
transcript.pyannote[2412].end 12551.21721875
transcript.pyannote[2413].speaker SPEAKER_07
transcript.pyannote[2413].start 12545.61471875
transcript.pyannote[2413].end 12550.93034375
transcript.pyannote[2414].speaker SPEAKER_17
transcript.pyannote[2414].start 12551.21721875
transcript.pyannote[2414].end 12551.25096875
transcript.pyannote[2415].speaker SPEAKER_07
transcript.pyannote[2415].start 12551.38596875
transcript.pyannote[2415].end 12554.17034375
transcript.pyannote[2416].speaker SPEAKER_07
transcript.pyannote[2416].start 12554.62596875
transcript.pyannote[2416].end 12564.04221875
transcript.pyannote[2417].speaker SPEAKER_07
transcript.pyannote[2417].start 12564.43034375
transcript.pyannote[2417].end 12567.29909375
transcript.pyannote[2418].speaker SPEAKER_07
transcript.pyannote[2418].start 12567.61971875
transcript.pyannote[2418].end 12573.23909375
transcript.pyannote[2419].speaker SPEAKER_07
transcript.pyannote[2419].start 12573.47534375
transcript.pyannote[2419].end 12578.21721875
transcript.pyannote[2420].speaker SPEAKER_07
transcript.pyannote[2420].start 12578.45346875
transcript.pyannote[2420].end 12579.55034375
transcript.pyannote[2421].speaker SPEAKER_07
transcript.pyannote[2421].start 12580.56284375
transcript.pyannote[2421].end 12588.40971875
transcript.pyannote[2422].speaker SPEAKER_07
transcript.pyannote[2422].start 12588.83159375
transcript.pyannote[2422].end 12591.81846875
transcript.pyannote[2423].speaker SPEAKER_07
transcript.pyannote[2423].start 12592.17284375
transcript.pyannote[2423].end 12595.75034375
transcript.pyannote[2424].speaker SPEAKER_07
transcript.pyannote[2424].start 12596.37471875
transcript.pyannote[2424].end 12601.72409375
transcript.pyannote[2425].speaker SPEAKER_07
transcript.pyannote[2425].start 12601.96034375
transcript.pyannote[2425].end 12608.60909375
transcript.pyannote[2426].speaker SPEAKER_07
transcript.pyannote[2426].start 12609.33471875
transcript.pyannote[2426].end 12610.56659375
transcript.pyannote[2427].speaker SPEAKER_07
transcript.pyannote[2427].start 12610.68471875
transcript.pyannote[2427].end 12618.97034375
transcript.pyannote[2428].speaker SPEAKER_07
transcript.pyannote[2428].start 12619.47659375
transcript.pyannote[2428].end 12625.46721875
transcript.pyannote[2429].speaker SPEAKER_07
transcript.pyannote[2429].start 12626.10846875
transcript.pyannote[2429].end 12630.51284375
transcript.pyannote[2430].speaker SPEAKER_07
transcript.pyannote[2430].start 12631.06971875
transcript.pyannote[2430].end 12635.08596875
transcript.pyannote[2431].speaker SPEAKER_07
transcript.pyannote[2431].start 12635.52471875
transcript.pyannote[2431].end 12642.57846875
transcript.pyannote[2432].speaker SPEAKER_07
transcript.pyannote[2432].start 12642.79784375
transcript.pyannote[2432].end 12643.28721875
transcript.pyannote[2433].speaker SPEAKER_07
transcript.pyannote[2433].start 12643.69221875
transcript.pyannote[2433].end 12645.17721875
transcript.pyannote[2434].speaker SPEAKER_07
transcript.pyannote[2434].start 12645.80159375
transcript.pyannote[2434].end 12652.82159375
transcript.pyannote[2435].speaker SPEAKER_07
transcript.pyannote[2435].start 12653.22659375
transcript.pyannote[2435].end 12658.30596875
transcript.pyannote[2436].speaker SPEAKER_07
transcript.pyannote[2436].start 12658.67721875
transcript.pyannote[2436].end 12660.85409375
transcript.pyannote[2437].speaker SPEAKER_07
transcript.pyannote[2437].start 12661.03971875
transcript.pyannote[2437].end 12661.96784375
transcript.pyannote[2438].speaker SPEAKER_07
transcript.pyannote[2438].start 12662.45721875
transcript.pyannote[2438].end 12664.60034375
transcript.pyannote[2439].speaker SPEAKER_07
transcript.pyannote[2439].start 12665.17409375
transcript.pyannote[2439].end 12667.62096875
transcript.pyannote[2440].speaker SPEAKER_07
transcript.pyannote[2440].start 12668.09346875
transcript.pyannote[2440].end 12670.70909375
transcript.pyannote[2441].speaker SPEAKER_07
transcript.pyannote[2441].start 12671.16471875
transcript.pyannote[2441].end 12671.95784375
transcript.pyannote[2442].speaker SPEAKER_07
transcript.pyannote[2442].start 12672.37971875
transcript.pyannote[2442].end 12673.76346875
transcript.pyannote[2443].speaker SPEAKER_07
transcript.pyannote[2443].start 12673.81409375
transcript.pyannote[2443].end 12682.30221875
transcript.pyannote[2444].speaker SPEAKER_19
transcript.pyannote[2444].start 12683.19659375
transcript.pyannote[2444].end 12684.86721875
transcript.pyannote[2445].speaker SPEAKER_19
transcript.pyannote[2445].start 12684.95159375
transcript.pyannote[2445].end 12686.53784375
transcript.pyannote[2446].speaker SPEAKER_19
transcript.pyannote[2446].start 12686.84159375
transcript.pyannote[2446].end 12689.38971875
transcript.pyannote[2447].speaker SPEAKER_19
transcript.pyannote[2447].start 12689.69346875
transcript.pyannote[2447].end 12693.23721875
transcript.pyannote[2448].speaker SPEAKER_07
transcript.pyannote[2448].start 12691.12784375
transcript.pyannote[2448].end 12699.88596875
transcript.pyannote[2449].speaker SPEAKER_19
transcript.pyannote[2449].start 12699.09284375
transcript.pyannote[2449].end 12704.42534375
transcript.pyannote[2450].speaker SPEAKER_07
transcript.pyannote[2450].start 12704.61096875
transcript.pyannote[2450].end 12705.58971875
transcript.pyannote[2451].speaker SPEAKER_19
transcript.pyannote[2451].start 12705.58971875
transcript.pyannote[2451].end 12707.17596875
transcript.pyannote[2452].speaker SPEAKER_07
transcript.pyannote[2452].start 12707.17596875
transcript.pyannote[2452].end 12707.69909375
transcript.pyannote[2453].speaker SPEAKER_07
transcript.pyannote[2453].start 12708.22221875
transcript.pyannote[2453].end 12713.18346875
transcript.pyannote[2454].speaker SPEAKER_19
transcript.pyannote[2454].start 12709.04909375
transcript.pyannote[2454].end 12710.50034375
transcript.pyannote[2455].speaker SPEAKER_19
transcript.pyannote[2455].start 12711.02346875
transcript.pyannote[2455].end 12718.16159375
transcript.pyannote[2456].speaker SPEAKER_07
transcript.pyannote[2456].start 12713.74034375
transcript.pyannote[2456].end 12725.72159375
transcript.pyannote[2457].speaker SPEAKER_22
transcript.pyannote[2457].start 12718.16159375
transcript.pyannote[2457].end 12718.22909375
transcript.pyannote[2458].speaker SPEAKER_07
transcript.pyannote[2458].start 12726.98721875
transcript.pyannote[2458].end 12739.54221875
transcript.pyannote[2459].speaker SPEAKER_17
transcript.pyannote[2459].start 12728.35409375
transcript.pyannote[2459].end 12728.89409375
transcript.pyannote[2460].speaker SPEAKER_17
transcript.pyannote[2460].start 12728.96159375
transcript.pyannote[2460].end 12729.55221875
transcript.pyannote[2461].speaker SPEAKER_22
transcript.pyannote[2461].start 12731.47596875
transcript.pyannote[2461].end 12731.89784375
transcript.pyannote[2462].speaker SPEAKER_20
transcript.pyannote[2462].start 12731.89784375
transcript.pyannote[2462].end 12731.99909375
transcript.pyannote[2463].speaker SPEAKER_19
transcript.pyannote[2463].start 12734.56409375
transcript.pyannote[2463].end 12737.65221875
transcript.pyannote[2464].speaker SPEAKER_19
transcript.pyannote[2464].start 12739.87971875
transcript.pyannote[2464].end 12742.41096875
transcript.pyannote[2465].speaker SPEAKER_07
transcript.pyannote[2465].start 12740.03159375
transcript.pyannote[2465].end 12740.97659375
transcript.pyannote[2466].speaker SPEAKER_07
transcript.pyannote[2466].start 12741.98909375
transcript.pyannote[2466].end 12754.37534375
transcript.pyannote[2467].speaker SPEAKER_19
transcript.pyannote[2467].start 12743.92971875
transcript.pyannote[2467].end 12744.40221875
transcript.pyannote[2468].speaker SPEAKER_19
transcript.pyannote[2468].start 12746.42721875
transcript.pyannote[2468].end 12748.21596875
transcript.pyannote[2469].speaker SPEAKER_17
transcript.pyannote[2469].start 12748.21596875
transcript.pyannote[2469].end 12748.24971875
transcript.pyannote[2470].speaker SPEAKER_07
transcript.pyannote[2470].start 12755.08409375
transcript.pyannote[2470].end 12759.26909375
transcript.pyannote[2471].speaker SPEAKER_07
transcript.pyannote[2471].start 12759.52221875
transcript.pyannote[2471].end 12769.84971875
transcript.pyannote[2472].speaker SPEAKER_19
transcript.pyannote[2472].start 12761.39534375
transcript.pyannote[2472].end 12762.03659375
transcript.pyannote[2473].speaker SPEAKER_17
transcript.pyannote[2473].start 12762.03659375
transcript.pyannote[2473].end 12762.08721875
transcript.pyannote[2474].speaker SPEAKER_07
transcript.pyannote[2474].start 12771.28409375
transcript.pyannote[2474].end 12771.75659375
transcript.pyannote[2475].speaker SPEAKER_07
transcript.pyannote[2475].start 12772.09409375
transcript.pyannote[2475].end 12776.05971875
transcript.pyannote[2476].speaker SPEAKER_07
transcript.pyannote[2476].start 12776.48159375
transcript.pyannote[2476].end 12778.20284375
transcript.pyannote[2477].speaker SPEAKER_07
transcript.pyannote[2477].start 12779.13096875
transcript.pyannote[2477].end 12784.34534375
transcript.pyannote[2478].speaker SPEAKER_07
transcript.pyannote[2478].start 12784.85159375
transcript.pyannote[2478].end 12786.77534375
transcript.pyannote[2479].speaker SPEAKER_07
transcript.pyannote[2479].start 12787.63596875
transcript.pyannote[2479].end 12790.72409375
transcript.pyannote[2480].speaker SPEAKER_07
transcript.pyannote[2480].start 12791.17971875
transcript.pyannote[2480].end 12792.61409375
transcript.pyannote[2481].speaker SPEAKER_07
transcript.pyannote[2481].start 12793.23846875
transcript.pyannote[2481].end 12795.01034375
transcript.pyannote[2482].speaker SPEAKER_07
transcript.pyannote[2482].start 12795.68534375
transcript.pyannote[2482].end 12797.67659375
transcript.pyannote[2483].speaker SPEAKER_07
transcript.pyannote[2483].start 12798.35159375
transcript.pyannote[2483].end 12800.68034375
transcript.pyannote[2484].speaker SPEAKER_07
transcript.pyannote[2484].start 12801.74346875
transcript.pyannote[2484].end 12805.05096875
transcript.pyannote[2485].speaker SPEAKER_07
transcript.pyannote[2485].start 12805.94534375
transcript.pyannote[2485].end 12807.32909375
transcript.pyannote[2486].speaker SPEAKER_07
transcript.pyannote[2486].start 12807.97034375
transcript.pyannote[2486].end 12810.16409375
transcript.pyannote[2487].speaker SPEAKER_07
transcript.pyannote[2487].start 12810.90659375
transcript.pyannote[2487].end 12825.70596875
transcript.pyannote[2488].speaker SPEAKER_07
transcript.pyannote[2488].start 12826.21221875
transcript.pyannote[2488].end 12827.51159375
transcript.pyannote[2489].speaker SPEAKER_07
transcript.pyannote[2489].start 12828.16971875
transcript.pyannote[2489].end 12834.95346875
transcript.pyannote[2490].speaker SPEAKER_07
transcript.pyannote[2490].start 12835.64534375
transcript.pyannote[2490].end 12840.94409375
transcript.pyannote[2491].speaker SPEAKER_06
transcript.pyannote[2491].start 12835.71284375
transcript.pyannote[2491].end 12836.01659375
transcript.pyannote[2492].speaker SPEAKER_06
transcript.pyannote[2492].start 12836.03346875
transcript.pyannote[2492].end 12837.02909375
transcript.pyannote[2493].speaker SPEAKER_07
transcript.pyannote[2493].start 12841.33221875
transcript.pyannote[2493].end 12844.90971875
transcript.pyannote[2494].speaker SPEAKER_07
transcript.pyannote[2494].start 12845.48346875
transcript.pyannote[2494].end 12848.16659375
transcript.pyannote[2495].speaker SPEAKER_19
transcript.pyannote[2495].start 12846.63096875
transcript.pyannote[2495].end 12848.40284375
transcript.pyannote[2496].speaker SPEAKER_07
transcript.pyannote[2496].start 12848.30159375
transcript.pyannote[2496].end 12851.08596875
transcript.pyannote[2497].speaker SPEAKER_19
transcript.pyannote[2497].start 12850.37721875
transcript.pyannote[2497].end 12851.25471875
transcript.pyannote[2498].speaker SPEAKER_21
transcript.pyannote[2498].start 12851.25471875
transcript.pyannote[2498].end 12851.27159375
transcript.pyannote[2499].speaker SPEAKER_07
transcript.pyannote[2499].start 12851.30534375
transcript.pyannote[2499].end 12861.83534375
transcript.pyannote[2500].speaker SPEAKER_15
transcript.pyannote[2500].start 12860.63721875
transcript.pyannote[2500].end 12860.73846875
transcript.pyannote[2501].speaker SPEAKER_16
transcript.pyannote[2501].start 12860.73846875
transcript.pyannote[2501].end 12862.96596875
transcript.pyannote[2502].speaker SPEAKER_15
transcript.pyannote[2502].start 12862.96596875
transcript.pyannote[2502].end 12864.02909375
transcript.pyannote[2503].speaker SPEAKER_19
transcript.pyannote[2503].start 12864.02909375
transcript.pyannote[2503].end 12866.23971875
transcript.pyannote[2504].speaker SPEAKER_11
transcript.pyannote[2504].start 12866.23971875
transcript.pyannote[2504].end 12866.61096875
transcript.pyannote[2505].speaker SPEAKER_19
transcript.pyannote[2505].start 12866.39159375
transcript.pyannote[2505].end 12871.36971875
transcript.pyannote[2506].speaker SPEAKER_11
transcript.pyannote[2506].start 12870.89721875
transcript.pyannote[2506].end 12871.21784375
transcript.pyannote[2507].speaker SPEAKER_11
transcript.pyannote[2507].start 12871.36971875
transcript.pyannote[2507].end 12873.41159375
transcript.pyannote[2508].speaker SPEAKER_11
transcript.pyannote[2508].start 12876.78659375
transcript.pyannote[2508].end 12877.56284375
transcript.pyannote[2509].speaker SPEAKER_11
transcript.pyannote[2509].start 12878.45721875
transcript.pyannote[2509].end 12891.87284375
transcript.pyannote[2510].speaker SPEAKER_12
transcript.pyannote[2510].start 21598.34346875
transcript.pyannote[2510].end 21604.92471875
transcript.pyannote[2511].speaker SPEAKER_18
transcript.pyannote[2511].start 21610.47659375
transcript.pyannote[2511].end 21611.33721875
transcript.pyannote[2512].speaker SPEAKER_18
transcript.pyannote[2512].start 21611.87721875
transcript.pyannote[2512].end 21613.02471875
transcript.pyannote[2513].speaker SPEAKER_12
transcript.pyannote[2513].start 21614.18909375
transcript.pyannote[2513].end 21615.94409375
transcript.pyannote[2514].speaker SPEAKER_18
transcript.pyannote[2514].start 21616.11284375
transcript.pyannote[2514].end 21617.56409375
transcript.pyannote[2515].speaker SPEAKER_12
transcript.pyannote[2515].start 21616.68659375
transcript.pyannote[2515].end 21616.73721875
transcript.pyannote[2516].speaker SPEAKER_12
transcript.pyannote[2516].start 21617.78346875
transcript.pyannote[2516].end 21619.90971875
transcript.pyannote[2517].speaker SPEAKER_18
transcript.pyannote[2517].start 21635.80596875
transcript.pyannote[2517].end 21636.46409375
transcript.pyannote[2518].speaker SPEAKER_18
transcript.pyannote[2518].start 21636.71721875
transcript.pyannote[2518].end 21636.73409375
transcript.pyannote[2519].speaker SPEAKER_23
transcript.pyannote[2519].start 21636.73409375
transcript.pyannote[2519].end 21637.59471875
transcript.pyannote[2520].speaker SPEAKER_18
transcript.pyannote[2520].start 21637.59471875
transcript.pyannote[2520].end 21645.55971875
transcript.pyannote[2521].speaker SPEAKER_23
transcript.pyannote[2521].start 21637.64534375
transcript.pyannote[2521].end 21638.21909375
transcript.pyannote[2522].speaker SPEAKER_17
transcript.pyannote[2522].start 21641.07096875
transcript.pyannote[2522].end 21642.04971875
transcript.pyannote[2523].speaker SPEAKER_17
transcript.pyannote[2523].start 21644.54721875
transcript.pyannote[2523].end 21645.86346875
transcript.pyannote[2524].speaker SPEAKER_18
transcript.pyannote[2524].start 21645.98159375
transcript.pyannote[2524].end 21647.55096875
transcript.pyannote[2525].speaker SPEAKER_18
transcript.pyannote[2525].start 21647.95596875
transcript.pyannote[2525].end 21651.44909375
transcript.pyannote[2526].speaker SPEAKER_18
transcript.pyannote[2526].start 21651.71909375
transcript.pyannote[2526].end 21665.60721875
transcript.pyannote[2527].speaker SPEAKER_23
transcript.pyannote[2527].start 21665.60721875
transcript.pyannote[2527].end 21689.02971875
transcript.pyannote[2528].speaker SPEAKER_18
transcript.pyannote[2528].start 21683.54534375
transcript.pyannote[2528].end 21686.04284375
transcript.pyannote[2529].speaker SPEAKER_18
transcript.pyannote[2529].start 21686.75159375
transcript.pyannote[2529].end 21687.13971875
transcript.pyannote[2530].speaker SPEAKER_18
transcript.pyannote[2530].start 21688.03409375
transcript.pyannote[2530].end 21691.98284375
transcript.pyannote[2531].speaker SPEAKER_23
transcript.pyannote[2531].start 21692.05034375
transcript.pyannote[2531].end 21702.85034375
transcript.pyannote[2532].speaker SPEAKER_18
transcript.pyannote[2532].start 21695.02034375
transcript.pyannote[2532].end 21695.50971875
transcript.pyannote[2533].speaker SPEAKER_18
transcript.pyannote[2533].start 21701.56784375
transcript.pyannote[2533].end 21710.46096875
transcript.pyannote[2534].speaker SPEAKER_23
transcript.pyannote[2534].start 21708.65534375
transcript.pyannote[2534].end 21730.87971875
transcript.pyannote[2535].speaker SPEAKER_18
transcript.pyannote[2535].start 21729.78284375
transcript.pyannote[2535].end 21739.16534375
transcript.pyannote[2536].speaker SPEAKER_23
transcript.pyannote[2536].start 21735.38534375
transcript.pyannote[2536].end 21735.92534375
transcript.pyannote[2537].speaker SPEAKER_23
transcript.pyannote[2537].start 21738.64221875
transcript.pyannote[2537].end 21744.91971875
transcript.pyannote[2538].speaker SPEAKER_18
transcript.pyannote[2538].start 21741.03846875
transcript.pyannote[2538].end 21741.74721875
transcript.pyannote[2539].speaker SPEAKER_18
transcript.pyannote[2539].start 21741.94971875
transcript.pyannote[2539].end 21743.63721875
transcript.pyannote[2540].speaker SPEAKER_18
transcript.pyannote[2540].start 21745.34159375
transcript.pyannote[2540].end 21747.02909375
transcript.pyannote[2541].speaker SPEAKER_12
transcript.pyannote[2541].start 21748.69971875
transcript.pyannote[2541].end 21750.38721875
transcript.pyannote[2542].speaker SPEAKER_18
transcript.pyannote[2542].start 21757.52534375
transcript.pyannote[2542].end 21758.13284375
transcript.pyannote[2543].speaker SPEAKER_18
transcript.pyannote[2543].start 21758.41971875
transcript.pyannote[2543].end 21758.43659375
transcript.pyannote[2544].speaker SPEAKER_19
transcript.pyannote[2544].start 21758.43659375
transcript.pyannote[2544].end 21758.99346875
transcript.pyannote[2545].speaker SPEAKER_18
transcript.pyannote[2545].start 21759.56721875
transcript.pyannote[2545].end 21761.27159375
transcript.pyannote[2546].speaker SPEAKER_18
transcript.pyannote[2546].start 21761.44034375
transcript.pyannote[2546].end 21763.98846875
transcript.pyannote[2547].speaker SPEAKER_18
transcript.pyannote[2547].start 21764.41034375
transcript.pyannote[2547].end 21764.56221875
transcript.pyannote[2548].speaker SPEAKER_19
transcript.pyannote[2548].start 21765.06846875
transcript.pyannote[2548].end 21765.08534375
transcript.pyannote[2549].speaker SPEAKER_09
transcript.pyannote[2549].start 21765.08534375
transcript.pyannote[2549].end 21766.06409375
transcript.pyannote[2550].speaker SPEAKER_18
transcript.pyannote[2550].start 21766.40159375
transcript.pyannote[2550].end 21767.22846875
transcript.pyannote[2551].speaker SPEAKER_18
transcript.pyannote[2551].start 21768.54471875
transcript.pyannote[2551].end 21769.38846875
transcript.pyannote[2552].speaker SPEAKER_09
transcript.pyannote[2552].start 21769.92846875
transcript.pyannote[2552].end 21770.89034375
transcript.pyannote[2553].speaker SPEAKER_09
transcript.pyannote[2553].start 21771.34596875
transcript.pyannote[2553].end 21773.77596875
transcript.pyannote[2554].speaker SPEAKER_18
transcript.pyannote[2554].start 21774.02909375
transcript.pyannote[2554].end 21774.36659375
transcript.pyannote[2555].speaker SPEAKER_18
transcript.pyannote[2555].start 21774.65346875
transcript.pyannote[2555].end 21776.50971875
transcript.pyannote[2556].speaker SPEAKER_18
transcript.pyannote[2556].start 21776.66159375
transcript.pyannote[2556].end 21794.04284375
transcript.pyannote[2557].speaker SPEAKER_09
transcript.pyannote[2557].start 21794.98784375
transcript.pyannote[2557].end 21801.11346875
transcript.pyannote[2558].speaker SPEAKER_09
transcript.pyannote[2558].start 21801.29909375
transcript.pyannote[2558].end 21805.99034375
transcript.pyannote[2559].speaker SPEAKER_09
transcript.pyannote[2559].start 21806.10846875
transcript.pyannote[2559].end 21807.88034375
transcript.pyannote[2560].speaker SPEAKER_18
transcript.pyannote[2560].start 21807.10409375
transcript.pyannote[2560].end 21814.47846875
transcript.pyannote[2561].speaker SPEAKER_18
transcript.pyannote[2561].start 21814.81596875
transcript.pyannote[2561].end 21826.39221875
transcript.pyannote[2562].speaker SPEAKER_09
transcript.pyannote[2562].start 21827.11784375
transcript.pyannote[2562].end 21830.45909375
transcript.pyannote[2563].speaker SPEAKER_09
transcript.pyannote[2563].start 21830.62784375
transcript.pyannote[2563].end 21836.29784375
transcript.pyannote[2564].speaker SPEAKER_18
transcript.pyannote[2564].start 21832.63596875
transcript.pyannote[2564].end 21833.09159375
transcript.pyannote[2565].speaker SPEAKER_18
transcript.pyannote[2565].start 21834.47534375
transcript.pyannote[2565].end 21836.07846875
transcript.pyannote[2566].speaker SPEAKER_18
transcript.pyannote[2566].start 21836.29784375
transcript.pyannote[2566].end 21836.33159375
transcript.pyannote[2567].speaker SPEAKER_09
transcript.pyannote[2567].start 21836.33159375
transcript.pyannote[2567].end 21836.58471875
transcript.pyannote[2568].speaker SPEAKER_18
transcript.pyannote[2568].start 21836.58471875
transcript.pyannote[2568].end 21852.61596875
transcript.pyannote[2569].speaker SPEAKER_00
transcript.pyannote[2569].start 21847.78971875
transcript.pyannote[2569].end 21848.56596875
transcript.pyannote[2570].speaker SPEAKER_18
transcript.pyannote[2570].start 21852.76784375
transcript.pyannote[2570].end 21862.21784375
transcript.pyannote[2571].speaker SPEAKER_09
transcript.pyannote[2571].start 21862.72409375
transcript.pyannote[2571].end 21865.33971875
transcript.pyannote[2572].speaker SPEAKER_18
transcript.pyannote[2572].start 21865.54221875
transcript.pyannote[2572].end 21865.93034375
transcript.pyannote[2573].speaker SPEAKER_18
transcript.pyannote[2573].start 21866.20034375
transcript.pyannote[2573].end 21878.11409375
transcript.pyannote[2574].speaker SPEAKER_18
transcript.pyannote[2574].start 21878.65409375
transcript.pyannote[2574].end 21880.51034375
transcript.pyannote[2575].speaker SPEAKER_18
transcript.pyannote[2575].start 21880.88159375
transcript.pyannote[2575].end 21897.43596875
transcript.pyannote[2576].speaker SPEAKER_18
transcript.pyannote[2576].start 21897.75659375
transcript.pyannote[2576].end 21898.43159375
transcript.pyannote[2577].speaker SPEAKER_18
transcript.pyannote[2577].start 21898.51596875
transcript.pyannote[2577].end 21898.93784375
transcript.pyannote[2578].speaker SPEAKER_19
transcript.pyannote[2578].start 21898.93784375
transcript.pyannote[2578].end 21900.37221875
transcript.pyannote[2579].speaker SPEAKER_19
transcript.pyannote[2579].start 21900.72659375
transcript.pyannote[2579].end 21903.94971875
transcript.pyannote[2580].speaker SPEAKER_19
transcript.pyannote[2580].start 21904.21971875
transcript.pyannote[2580].end 21907.24034375
transcript.pyannote[2581].speaker SPEAKER_18
transcript.pyannote[2581].start 21906.86909375
transcript.pyannote[2581].end 21906.88596875
transcript.pyannote[2582].speaker SPEAKER_18
transcript.pyannote[2582].start 21906.95346875
transcript.pyannote[2582].end 21906.97034375
transcript.pyannote[2583].speaker SPEAKER_19
transcript.pyannote[2583].start 21907.32471875
transcript.pyannote[2583].end 21909.78846875
transcript.pyannote[2584].speaker SPEAKER_18
transcript.pyannote[2584].start 21907.66221875
transcript.pyannote[2584].end 21914.68221875
transcript.pyannote[2585].speaker SPEAKER_19
transcript.pyannote[2585].start 21912.97784375
transcript.pyannote[2585].end 21914.66534375
transcript.pyannote[2586].speaker SPEAKER_19
transcript.pyannote[2586].start 21914.68221875
transcript.pyannote[2586].end 21915.45846875
transcript.pyannote[2587].speaker SPEAKER_18
transcript.pyannote[2587].start 21915.62721875
transcript.pyannote[2587].end 21915.93096875
transcript.pyannote[2588].speaker SPEAKER_18
transcript.pyannote[2588].start 21916.42034375
transcript.pyannote[2588].end 21919.40721875
transcript.pyannote[2589].speaker SPEAKER_17
transcript.pyannote[2589].start 21919.40721875
transcript.pyannote[2589].end 21919.55909375
transcript.pyannote[2590].speaker SPEAKER_18
transcript.pyannote[2590].start 21919.55909375
transcript.pyannote[2590].end 21923.40659375
transcript.pyannote[2591].speaker SPEAKER_18
transcript.pyannote[2591].start 21923.69346875
transcript.pyannote[2591].end 21925.38096875
transcript.pyannote[2592].speaker SPEAKER_18
transcript.pyannote[2592].start 21925.73534375
transcript.pyannote[2592].end 21927.96284375
transcript.pyannote[2593].speaker SPEAKER_18
transcript.pyannote[2593].start 21928.35096875
transcript.pyannote[2593].end 21928.73909375
transcript.pyannote[2594].speaker SPEAKER_18
transcript.pyannote[2594].start 21929.09346875
transcript.pyannote[2594].end 21930.05534375
transcript.pyannote[2595].speaker SPEAKER_18
transcript.pyannote[2595].start 21930.27471875
transcript.pyannote[2595].end 21930.76409375
transcript.pyannote[2596].speaker SPEAKER_18
transcript.pyannote[2596].start 21931.21971875
transcript.pyannote[2596].end 21932.63721875
transcript.pyannote[2597].speaker SPEAKER_18
transcript.pyannote[2597].start 21932.73846875
transcript.pyannote[2597].end 21933.78471875
transcript.pyannote[2598].speaker SPEAKER_18
transcript.pyannote[2598].start 21934.54409375
transcript.pyannote[2598].end 21935.11784375
transcript.pyannote[2599].speaker SPEAKER_09
transcript.pyannote[2599].start 21934.67909375
transcript.pyannote[2599].end 21934.69596875
transcript.pyannote[2600].speaker SPEAKER_09
transcript.pyannote[2600].start 21934.71284375
transcript.pyannote[2600].end 21935.03346875
transcript.pyannote[2601].speaker SPEAKER_09
transcript.pyannote[2601].start 21935.11784375
transcript.pyannote[2601].end 21935.18534375
transcript.pyannote[2602].speaker SPEAKER_18
transcript.pyannote[2602].start 21935.18534375
transcript.pyannote[2602].end 21935.32034375
transcript.pyannote[2603].speaker SPEAKER_09
transcript.pyannote[2603].start 21935.32034375
transcript.pyannote[2603].end 21935.40471875
transcript.pyannote[2604].speaker SPEAKER_18
transcript.pyannote[2604].start 21935.96159375
transcript.pyannote[2604].end 21936.92346875
transcript.pyannote[2605].speaker SPEAKER_18
transcript.pyannote[2605].start 21937.95284375
transcript.pyannote[2605].end 21939.55596875
transcript.pyannote[2606].speaker SPEAKER_09
transcript.pyannote[2606].start 21940.16346875
transcript.pyannote[2606].end 21944.85471875
transcript.pyannote[2607].speaker SPEAKER_18
transcript.pyannote[2607].start 21944.01096875
transcript.pyannote[2607].end 21946.52534375
transcript.pyannote[2608].speaker SPEAKER_09
transcript.pyannote[2608].start 21945.41159375
transcript.pyannote[2608].end 21945.59721875
transcript.pyannote[2609].speaker SPEAKER_09
transcript.pyannote[2609].start 21946.52534375
transcript.pyannote[2609].end 21946.77846875
transcript.pyannote[2610].speaker SPEAKER_18
transcript.pyannote[2610].start 21947.28471875
transcript.pyannote[2610].end 21948.56721875
transcript.pyannote[2611].speaker SPEAKER_18
transcript.pyannote[2611].start 21948.82034375
transcript.pyannote[2611].end 21956.80221875
transcript.pyannote[2612].speaker SPEAKER_18
transcript.pyannote[2612].start 21957.05534375
transcript.pyannote[2612].end 21959.80596875
transcript.pyannote[2613].speaker SPEAKER_18
transcript.pyannote[2613].start 21960.14346875
transcript.pyannote[2613].end 21965.40846875
transcript.pyannote[2614].speaker SPEAKER_18
transcript.pyannote[2614].start 21965.59409375
transcript.pyannote[2614].end 21967.16346875
transcript.pyannote[2615].speaker SPEAKER_18
transcript.pyannote[2615].start 21967.38284375
transcript.pyannote[2615].end 21978.08159375
transcript.pyannote[2616].speaker SPEAKER_18
transcript.pyannote[2616].start 21978.48659375
transcript.pyannote[2616].end 21981.38909375
transcript.pyannote[2617].speaker SPEAKER_18
transcript.pyannote[2617].start 21982.41846875
transcript.pyannote[2617].end 21984.51096875
transcript.pyannote[2618].speaker SPEAKER_18
transcript.pyannote[2618].start 21985.25346875
transcript.pyannote[2618].end 21986.56971875
transcript.pyannote[2619].speaker SPEAKER_13
transcript.pyannote[2619].start 21986.56971875
transcript.pyannote[2619].end 21986.85659375
transcript.pyannote[2620].speaker SPEAKER_18
transcript.pyannote[2620].start 21987.41346875
transcript.pyannote[2620].end 21989.25284375
transcript.pyannote[2621].speaker SPEAKER_18
transcript.pyannote[2621].start 21989.52284375
transcript.pyannote[2621].end 21991.58159375
transcript.pyannote[2622].speaker SPEAKER_18
transcript.pyannote[2622].start 21992.13846875
transcript.pyannote[2622].end 21996.28971875
transcript.pyannote[2623].speaker SPEAKER_18
transcript.pyannote[2623].start 21996.67784375
transcript.pyannote[2623].end 22004.82846875
transcript.pyannote[2624].speaker SPEAKER_18
transcript.pyannote[2624].start 22004.99721875
transcript.pyannote[2624].end 22006.27971875
transcript.pyannote[2625].speaker SPEAKER_18
transcript.pyannote[2625].start 22007.05596875
transcript.pyannote[2625].end 22012.69221875
transcript.pyannote[2626].speaker SPEAKER_18
transcript.pyannote[2626].start 22014.16034375
transcript.pyannote[2626].end 22017.73784375
transcript.pyannote[2627].speaker SPEAKER_18
transcript.pyannote[2627].start 22018.71659375
transcript.pyannote[2627].end 22026.20909375
transcript.pyannote[2628].speaker SPEAKER_14
transcript.pyannote[2628].start 22026.20909375
transcript.pyannote[2628].end 22026.68159375
transcript.pyannote[2629].speaker SPEAKER_18
transcript.pyannote[2629].start 22027.89659375
transcript.pyannote[2629].end 22028.23409375
transcript.pyannote[2630].speaker SPEAKER_18
transcript.pyannote[2630].start 22028.47034375
transcript.pyannote[2630].end 22031.59221875
transcript.pyannote[2631].speaker SPEAKER_18
transcript.pyannote[2631].start 22031.79471875
transcript.pyannote[2631].end 22033.36409375
transcript.pyannote[2632].speaker SPEAKER_18
transcript.pyannote[2632].start 22033.60034375
transcript.pyannote[2632].end 22035.15284375
transcript.pyannote[2633].speaker SPEAKER_18
transcript.pyannote[2633].start 22035.62534375
transcript.pyannote[2633].end 22036.31721875
transcript.pyannote[2634].speaker SPEAKER_18
transcript.pyannote[2634].start 22037.27909375
transcript.pyannote[2634].end 22041.36284375
transcript.pyannote[2635].speaker SPEAKER_18
transcript.pyannote[2635].start 22041.66659375
transcript.pyannote[2635].end 22042.62846875
transcript.pyannote[2636].speaker SPEAKER_19
transcript.pyannote[2636].start 22043.10096875
transcript.pyannote[2636].end 22043.84346875
transcript.pyannote[2637].speaker SPEAKER_19
transcript.pyannote[2637].start 22044.02909375
transcript.pyannote[2637].end 22044.04596875
transcript.pyannote[2638].speaker SPEAKER_19
transcript.pyannote[2638].start 22044.06284375
transcript.pyannote[2638].end 22047.18471875
transcript.pyannote[2639].speaker SPEAKER_19
transcript.pyannote[2639].start 22048.06221875
transcript.pyannote[2639].end 22050.39096875
transcript.pyannote[2640].speaker SPEAKER_19
transcript.pyannote[2640].start 22050.69471875
transcript.pyannote[2640].end 22051.18409375
transcript.pyannote[2641].speaker SPEAKER_19
transcript.pyannote[2641].start 22051.70721875
transcript.pyannote[2641].end 22054.96409375
transcript.pyannote[2642].speaker SPEAKER_19
transcript.pyannote[2642].start 22055.40284375
transcript.pyannote[2642].end 22056.76971875
transcript.pyannote[2643].speaker SPEAKER_19
transcript.pyannote[2643].start 22056.93846875
transcript.pyannote[2643].end 22060.14471875
transcript.pyannote[2644].speaker SPEAKER_19
transcript.pyannote[2644].start 22060.41471875
transcript.pyannote[2644].end 22064.58284375
transcript.pyannote[2645].speaker SPEAKER_19
transcript.pyannote[2645].start 22064.61659375
transcript.pyannote[2645].end 22068.97034375
transcript.pyannote[2646].speaker SPEAKER_18
transcript.pyannote[2646].start 22066.99596875
transcript.pyannote[2646].end 22070.86034375
transcript.pyannote[2647].speaker SPEAKER_19
transcript.pyannote[2647].start 22071.75471875
transcript.pyannote[2647].end 22077.30659375
transcript.pyannote[2648].speaker SPEAKER_18
transcript.pyannote[2648].start 22073.81346875
transcript.pyannote[2648].end 22075.04534375
transcript.pyannote[2649].speaker SPEAKER_18
transcript.pyannote[2649].start 22077.44159375
transcript.pyannote[2649].end 22077.71159375
transcript.pyannote[2650].speaker SPEAKER_18
transcript.pyannote[2650].start 22077.82971875
transcript.pyannote[2650].end 22088.32596875
transcript.pyannote[2651].speaker SPEAKER_18
transcript.pyannote[2651].start 22088.68034375
transcript.pyannote[2651].end 22093.37159375
transcript.pyannote[2652].speaker SPEAKER_18
transcript.pyannote[2652].start 22094.31659375
transcript.pyannote[2652].end 22096.39221875
transcript.pyannote[2653].speaker SPEAKER_18
transcript.pyannote[2653].start 22096.64534375
transcript.pyannote[2653].end 22099.44659375
transcript.pyannote[2654].speaker SPEAKER_18
transcript.pyannote[2654].start 22099.88534375
transcript.pyannote[2654].end 22103.49659375
transcript.pyannote[2655].speaker SPEAKER_18
transcript.pyannote[2655].start 22104.23909375
transcript.pyannote[2655].end 22105.53846875
transcript.pyannote[2656].speaker SPEAKER_18
transcript.pyannote[2656].start 22105.94346875
transcript.pyannote[2656].end 22109.20034375
transcript.pyannote[2657].speaker SPEAKER_18
transcript.pyannote[2657].start 22109.52096875
transcript.pyannote[2657].end 22110.61784375
transcript.pyannote[2658].speaker SPEAKER_18
transcript.pyannote[2658].start 22111.34346875
transcript.pyannote[2658].end 22114.60034375
transcript.pyannote[2659].speaker SPEAKER_18
transcript.pyannote[2659].start 22114.85346875
transcript.pyannote[2659].end 22117.50284375
transcript.pyannote[2660].speaker SPEAKER_18
transcript.pyannote[2660].start 22117.84034375
transcript.pyannote[2660].end 22121.89034375
transcript.pyannote[2661].speaker SPEAKER_18
transcript.pyannote[2661].start 22122.26159375
transcript.pyannote[2661].end 22123.39221875
transcript.pyannote[2662].speaker SPEAKER_18
transcript.pyannote[2662].start 22123.93221875
transcript.pyannote[2662].end 22131.12096875
transcript.pyannote[2663].speaker SPEAKER_18
transcript.pyannote[2663].start 22131.74534375
transcript.pyannote[2663].end 22133.97284375
transcript.pyannote[2664].speaker SPEAKER_18
transcript.pyannote[2664].start 22134.17534375
transcript.pyannote[2664].end 22135.22159375
transcript.pyannote[2665].speaker SPEAKER_18
transcript.pyannote[2665].start 22136.03159375
transcript.pyannote[2665].end 22137.90471875
transcript.pyannote[2666].speaker SPEAKER_18
transcript.pyannote[2666].start 22138.02284375
transcript.pyannote[2666].end 22140.38534375
transcript.pyannote[2667].speaker SPEAKER_18
transcript.pyannote[2667].start 22140.50346875
transcript.pyannote[2667].end 22141.53284375
transcript.pyannote[2668].speaker SPEAKER_18
transcript.pyannote[2668].start 22142.15721875
transcript.pyannote[2668].end 22147.01721875
transcript.pyannote[2669].speaker SPEAKER_18
transcript.pyannote[2669].start 22147.48971875
transcript.pyannote[2669].end 22154.18909375
transcript.pyannote[2670].speaker SPEAKER_18
transcript.pyannote[2670].start 22154.30721875
transcript.pyannote[2670].end 22161.86721875
transcript.pyannote[2671].speaker SPEAKER_18
transcript.pyannote[2671].start 22162.03596875
transcript.pyannote[2671].end 22162.47471875
transcript.pyannote[2672].speaker SPEAKER_19
transcript.pyannote[2672].start 22162.66034375
transcript.pyannote[2672].end 22163.70659375
transcript.pyannote[2673].speaker SPEAKER_19
transcript.pyannote[2673].start 22163.82471875
transcript.pyannote[2673].end 22167.09846875
transcript.pyannote[2674].speaker SPEAKER_19
transcript.pyannote[2674].start 22167.35159375
transcript.pyannote[2674].end 22170.27096875
transcript.pyannote[2675].speaker SPEAKER_19
transcript.pyannote[2675].start 22170.52409375
transcript.pyannote[2675].end 22172.93721875
transcript.pyannote[2676].speaker SPEAKER_19
transcript.pyannote[2676].start 22173.08909375
transcript.pyannote[2676].end 22176.34596875
transcript.pyannote[2677].speaker SPEAKER_19
transcript.pyannote[2677].start 22176.58221875
transcript.pyannote[2677].end 22179.50159375
transcript.pyannote[2678].speaker SPEAKER_19
transcript.pyannote[2678].start 22179.58596875
transcript.pyannote[2678].end 22179.67034375
transcript.pyannote[2679].speaker SPEAKER_18
transcript.pyannote[2679].start 22179.95721875
transcript.pyannote[2679].end 22180.31159375
transcript.pyannote[2680].speaker SPEAKER_18
transcript.pyannote[2680].start 22180.39596875
transcript.pyannote[2680].end 22184.17596875
transcript.pyannote[2681].speaker SPEAKER_18
transcript.pyannote[2681].start 22184.59784375
transcript.pyannote[2681].end 22192.47846875
transcript.pyannote[2682].speaker SPEAKER_18
transcript.pyannote[2682].start 22192.83284375
transcript.pyannote[2682].end 22195.02659375
transcript.pyannote[2683].speaker SPEAKER_18
transcript.pyannote[2683].start 22196.73096875
transcript.pyannote[2683].end 22203.63284375
transcript.pyannote[2684].speaker SPEAKER_18
transcript.pyannote[2684].start 22203.85221875
transcript.pyannote[2684].end 22218.14534375
transcript.pyannote[2685].speaker SPEAKER_18
transcript.pyannote[2685].start 22218.43221875
transcript.pyannote[2685].end 22221.08159375
transcript.pyannote[2686].speaker SPEAKER_18
transcript.pyannote[2686].start 22221.38534375
transcript.pyannote[2686].end 22223.29221875
transcript.pyannote[2687].speaker SPEAKER_18
transcript.pyannote[2687].start 22224.97971875
transcript.pyannote[2687].end 22226.66721875
transcript.pyannote[2688].speaker SPEAKER_18
transcript.pyannote[2688].start 22226.83596875
transcript.pyannote[2688].end 22227.61221875
transcript.pyannote[2689].speaker SPEAKER_18
transcript.pyannote[2689].start 22227.71346875
transcript.pyannote[2689].end 22233.34971875
transcript.pyannote[2690].speaker SPEAKER_18
transcript.pyannote[2690].start 22233.56909375
transcript.pyannote[2690].end 22235.93159375
transcript.pyannote[2691].speaker SPEAKER_18
transcript.pyannote[2691].start 22236.10034375
transcript.pyannote[2691].end 22239.86346875
transcript.pyannote[2692].speaker SPEAKER_18
transcript.pyannote[2692].start 22240.23471875
transcript.pyannote[2692].end 22241.21346875
transcript.pyannote[2693].speaker SPEAKER_18
transcript.pyannote[2693].start 22241.88846875
transcript.pyannote[2693].end 22244.04846875
transcript.pyannote[2694].speaker SPEAKER_18
transcript.pyannote[2694].start 22244.53784375
transcript.pyannote[2694].end 22260.31596875
transcript.pyannote[2695].speaker SPEAKER_00
transcript.pyannote[2695].start 22258.52721875
transcript.pyannote[2695].end 22258.71284375
transcript.pyannote[2696].speaker SPEAKER_18
transcript.pyannote[2696].start 22260.83909375
transcript.pyannote[2696].end 22261.73346875
transcript.pyannote[2697].speaker SPEAKER_18
transcript.pyannote[2697].start 22262.08784375
transcript.pyannote[2697].end 22266.27284375
transcript.pyannote[2698].speaker SPEAKER_18
transcript.pyannote[2698].start 22267.25159375
transcript.pyannote[2698].end 22269.15846875
transcript.pyannote[2699].speaker SPEAKER_18
transcript.pyannote[2699].start 22269.81659375
transcript.pyannote[2699].end 22276.65096875
transcript.pyannote[2700].speaker SPEAKER_18
transcript.pyannote[2700].start 22277.32596875
transcript.pyannote[2700].end 22283.23221875
transcript.pyannote[2701].speaker SPEAKER_18
transcript.pyannote[2701].start 22283.46846875
transcript.pyannote[2701].end 22287.87284375
transcript.pyannote[2702].speaker SPEAKER_18
transcript.pyannote[2702].start 22287.90659375
transcript.pyannote[2702].end 22288.02471875
transcript.pyannote[2703].speaker SPEAKER_18
transcript.pyannote[2703].start 22288.09221875
transcript.pyannote[2703].end 22292.49659375
transcript.pyannote[2704].speaker SPEAKER_18
transcript.pyannote[2704].start 22292.64846875
transcript.pyannote[2704].end 22294.50471875
transcript.pyannote[2705].speaker SPEAKER_18
transcript.pyannote[2705].start 22294.94346875
transcript.pyannote[2705].end 22295.44971875
transcript.pyannote[2706].speaker SPEAKER_18
transcript.pyannote[2706].start 22297.10346875
transcript.pyannote[2706].end 22303.27971875
transcript.pyannote[2707].speaker SPEAKER_18
transcript.pyannote[2707].start 22303.46534375
transcript.pyannote[2707].end 22304.24159375
transcript.pyannote[2708].speaker SPEAKER_18
transcript.pyannote[2708].start 22304.41034375
transcript.pyannote[2708].end 22306.03034375
transcript.pyannote[2709].speaker SPEAKER_18
transcript.pyannote[2709].start 22306.04721875
transcript.pyannote[2709].end 22307.68409375
transcript.pyannote[2710].speaker SPEAKER_18
transcript.pyannote[2710].start 22308.08909375
transcript.pyannote[2710].end 22318.92284375
transcript.pyannote[2711].speaker SPEAKER_18
transcript.pyannote[2711].start 22319.58096875
transcript.pyannote[2711].end 22322.43284375
transcript.pyannote[2712].speaker SPEAKER_18
transcript.pyannote[2712].start 22322.88846875
transcript.pyannote[2712].end 22325.01471875
transcript.pyannote[2713].speaker SPEAKER_18
transcript.pyannote[2713].start 22325.30159375
transcript.pyannote[2713].end 22326.34784375
transcript.pyannote[2714].speaker SPEAKER_18
transcript.pyannote[2714].start 22326.58409375
transcript.pyannote[2714].end 22328.72721875
transcript.pyannote[2715].speaker SPEAKER_18
transcript.pyannote[2715].start 22329.06471875
transcript.pyannote[2715].end 22331.39346875
transcript.pyannote[2716].speaker SPEAKER_18
transcript.pyannote[2716].start 22331.68034375
transcript.pyannote[2716].end 22346.19284375
transcript.pyannote[2717].speaker SPEAKER_18
transcript.pyannote[2717].start 22346.61471875
transcript.pyannote[2717].end 22353.87096875
transcript.pyannote[2718].speaker SPEAKER_00
transcript.pyannote[2718].start 22352.85846875
transcript.pyannote[2718].end 22353.09471875
transcript.pyannote[2719].speaker SPEAKER_18
transcript.pyannote[2719].start 22354.36034375
transcript.pyannote[2719].end 22354.96784375
transcript.pyannote[2720].speaker SPEAKER_18
transcript.pyannote[2720].start 22355.54159375
transcript.pyannote[2720].end 22358.15721875
transcript.pyannote[2721].speaker SPEAKER_18
transcript.pyannote[2721].start 22358.46096875
transcript.pyannote[2721].end 22361.73471875
transcript.pyannote[2722].speaker SPEAKER_18
transcript.pyannote[2722].start 22362.02159375
transcript.pyannote[2722].end 22364.89034375
transcript.pyannote[2723].speaker SPEAKER_18
transcript.pyannote[2723].start 22365.34596875
transcript.pyannote[2723].end 22366.17284375
transcript.pyannote[2724].speaker SPEAKER_18
transcript.pyannote[2724].start 22366.18971875
transcript.pyannote[2724].end 22366.20659375
transcript.pyannote[2725].speaker SPEAKER_18
transcript.pyannote[2725].start 22366.25721875
transcript.pyannote[2725].end 22367.32034375
transcript.pyannote[2726].speaker SPEAKER_18
transcript.pyannote[2726].start 22367.47221875
transcript.pyannote[2726].end 22377.10784375
transcript.pyannote[2727].speaker SPEAKER_18
transcript.pyannote[2727].start 22377.24284375
transcript.pyannote[2727].end 22378.27221875
transcript.pyannote[2728].speaker SPEAKER_18
transcript.pyannote[2728].start 22378.50846875
transcript.pyannote[2728].end 22381.00596875
transcript.pyannote[2729].speaker SPEAKER_18
transcript.pyannote[2729].start 22382.15346875
transcript.pyannote[2729].end 22385.76471875
transcript.pyannote[2730].speaker SPEAKER_18
transcript.pyannote[2730].start 22386.18659375
transcript.pyannote[2730].end 22392.04221875
transcript.pyannote[2731].speaker SPEAKER_18
transcript.pyannote[2731].start 22393.03784375
transcript.pyannote[2731].end 22397.91471875
transcript.pyannote[2732].speaker SPEAKER_18
transcript.pyannote[2732].start 22398.52221875
transcript.pyannote[2732].end 22402.31909375
transcript.pyannote[2733].speaker SPEAKER_18
transcript.pyannote[2733].start 22402.69034375
transcript.pyannote[2733].end 22412.64659375
transcript.pyannote[2734].speaker SPEAKER_18
transcript.pyannote[2734].start 22412.66346875
transcript.pyannote[2734].end 22417.20284375
transcript.pyannote[2735].speaker SPEAKER_18
transcript.pyannote[2735].start 22417.77659375
transcript.pyannote[2735].end 22420.72971875
transcript.pyannote[2736].speaker SPEAKER_18
transcript.pyannote[2736].start 22420.98284375
transcript.pyannote[2736].end 22422.80534375
transcript.pyannote[2737].speaker SPEAKER_18
transcript.pyannote[2737].start 22423.00784375
transcript.pyannote[2737].end 22423.88534375
transcript.pyannote[2738].speaker SPEAKER_18
transcript.pyannote[2738].start 22424.07096875
transcript.pyannote[2738].end 22426.61909375
transcript.pyannote[2739].speaker SPEAKER_18
transcript.pyannote[2739].start 22426.85534375
transcript.pyannote[2739].end 22427.47971875
transcript.pyannote[2740].speaker SPEAKER_18
transcript.pyannote[2740].start 22427.81721875
transcript.pyannote[2740].end 22432.66034375
transcript.pyannote[2741].speaker SPEAKER_18
transcript.pyannote[2741].start 22432.82909375
transcript.pyannote[2741].end 22434.60096875
transcript.pyannote[2742].speaker SPEAKER_18
transcript.pyannote[2742].start 22434.90471875
transcript.pyannote[2742].end 22438.53284375
transcript.pyannote[2743].speaker SPEAKER_18
transcript.pyannote[2743].start 22438.88721875
transcript.pyannote[2743].end 22440.00096875
transcript.pyannote[2744].speaker SPEAKER_18
transcript.pyannote[2744].start 22440.91221875
transcript.pyannote[2744].end 22449.95721875
transcript.pyannote[2745].speaker SPEAKER_18
transcript.pyannote[2745].start 22450.31159375
transcript.pyannote[2745].end 22459.59284375
transcript.pyannote[2746].speaker SPEAKER_18
transcript.pyannote[2746].start 22460.11596875
transcript.pyannote[2746].end 22464.16596875
transcript.pyannote[2747].speaker SPEAKER_18
transcript.pyannote[2747].start 22464.77346875
transcript.pyannote[2747].end 22480.68659375
transcript.pyannote[2748].speaker SPEAKER_18
transcript.pyannote[2748].start 22480.85534375
transcript.pyannote[2748].end 22481.46284375
transcript.pyannote[2749].speaker SPEAKER_18
transcript.pyannote[2749].start 22481.76659375
transcript.pyannote[2749].end 22486.81221875
transcript.pyannote[2750].speaker SPEAKER_19
transcript.pyannote[2750].start 22482.79596875
transcript.pyannote[2750].end 22484.44971875
transcript.pyannote[2751].speaker SPEAKER_19
transcript.pyannote[2751].start 22484.65221875
transcript.pyannote[2751].end 22485.86721875
transcript.pyannote[2752].speaker SPEAKER_17
transcript.pyannote[2752].start 22485.86721875
transcript.pyannote[2752].end 22485.88409375
transcript.pyannote[2753].speaker SPEAKER_19
transcript.pyannote[2753].start 22485.88409375
transcript.pyannote[2753].end 22485.91784375
transcript.pyannote[2754].speaker SPEAKER_17
transcript.pyannote[2754].start 22485.91784375
transcript.pyannote[2754].end 22486.60971875
transcript.pyannote[2755].speaker SPEAKER_18
transcript.pyannote[2755].start 22487.04846875
transcript.pyannote[2755].end 22490.72721875
transcript.pyannote[2756].speaker SPEAKER_18
transcript.pyannote[2756].start 22490.94659375
transcript.pyannote[2756].end 22492.17846875
transcript.pyannote[2757].speaker SPEAKER_09
transcript.pyannote[2757].start 22491.62159375
transcript.pyannote[2757].end 22492.06034375
transcript.pyannote[2758].speaker SPEAKER_09
transcript.pyannote[2758].start 22492.17846875
transcript.pyannote[2758].end 22492.22909375
transcript.pyannote[2759].speaker SPEAKER_09
transcript.pyannote[2759].start 22492.26284375
transcript.pyannote[2759].end 22492.61721875
transcript.pyannote[2760].speaker SPEAKER_18
transcript.pyannote[2760].start 22492.81971875
transcript.pyannote[2760].end 22495.24971875
transcript.pyannote[2761].speaker SPEAKER_09
transcript.pyannote[2761].start 22495.24971875
transcript.pyannote[2761].end 22495.28346875
transcript.pyannote[2762].speaker SPEAKER_18
transcript.pyannote[2762].start 22496.02596875
transcript.pyannote[2762].end 22496.14409375
transcript.pyannote[2763].speaker SPEAKER_09
transcript.pyannote[2763].start 22496.14409375
transcript.pyannote[2763].end 22496.36346875
transcript.pyannote[2764].speaker SPEAKER_18
transcript.pyannote[2764].start 22496.36346875
transcript.pyannote[2764].end 22496.54909375
transcript.pyannote[2765].speaker SPEAKER_09
transcript.pyannote[2765].start 22496.54909375
transcript.pyannote[2765].end 22496.80221875
transcript.pyannote[2766].speaker SPEAKER_18
transcript.pyannote[2766].start 22496.80221875
transcript.pyannote[2766].end 22496.97096875
transcript.pyannote[2767].speaker SPEAKER_09
transcript.pyannote[2767].start 22496.97096875
transcript.pyannote[2767].end 22497.15659375
transcript.pyannote[2768].speaker SPEAKER_09
transcript.pyannote[2768].start 22497.54471875
transcript.pyannote[2768].end 22497.79784375
transcript.pyannote[2769].speaker SPEAKER_09
transcript.pyannote[2769].start 22497.84846875
transcript.pyannote[2769].end 22504.75034375
transcript.pyannote[2770].speaker SPEAKER_18
transcript.pyannote[2770].start 22501.39221875
transcript.pyannote[2770].end 22502.01659375
transcript.pyannote[2771].speaker SPEAKER_09
transcript.pyannote[2771].start 22505.71221875
transcript.pyannote[2771].end 22509.77909375
transcript.pyannote[2772].speaker SPEAKER_18
transcript.pyannote[2772].start 22507.68659375
transcript.pyannote[2772].end 22508.02409375
transcript.pyannote[2773].speaker SPEAKER_18
transcript.pyannote[2773].start 22508.22659375
transcript.pyannote[2773].end 22515.29721875
transcript.pyannote[2774].speaker SPEAKER_18
transcript.pyannote[2774].start 22515.44909375
transcript.pyannote[2774].end 22515.60096875
transcript.pyannote[2775].speaker SPEAKER_18
transcript.pyannote[2775].start 22515.70221875
transcript.pyannote[2775].end 22522.80659375
transcript.pyannote[2776].speaker SPEAKER_09
transcript.pyannote[2776].start 22520.22471875
transcript.pyannote[2776].end 22521.72659375
transcript.pyannote[2777].speaker SPEAKER_18
transcript.pyannote[2777].start 22523.16096875
transcript.pyannote[2777].end 22523.95409375
transcript.pyannote[2778].speaker SPEAKER_18
transcript.pyannote[2778].start 22524.19034375
transcript.pyannote[2778].end 22525.30409375
transcript.pyannote[2779].speaker SPEAKER_18
transcript.pyannote[2779].start 22525.54034375
transcript.pyannote[2779].end 22529.82659375
transcript.pyannote[2780].speaker SPEAKER_18
transcript.pyannote[2780].start 22530.06284375
transcript.pyannote[2780].end 22534.24784375
transcript.pyannote[2781].speaker SPEAKER_18
transcript.pyannote[2781].start 22534.75409375
transcript.pyannote[2781].end 22535.42909375
transcript.pyannote[2782].speaker SPEAKER_17
transcript.pyannote[2782].start 22536.01971875
transcript.pyannote[2782].end 22536.03659375
transcript.pyannote[2783].speaker SPEAKER_12
transcript.pyannote[2783].start 22536.03659375
transcript.pyannote[2783].end 22536.28971875
transcript.pyannote[2784].speaker SPEAKER_19
transcript.pyannote[2784].start 22536.28971875
transcript.pyannote[2784].end 22536.37409375
transcript.pyannote[2785].speaker SPEAKER_12
transcript.pyannote[2785].start 22536.37409375
transcript.pyannote[2785].end 22536.66096875
transcript.pyannote[2786].speaker SPEAKER_12
transcript.pyannote[2786].start 22536.91409375
transcript.pyannote[2786].end 22541.72346875
transcript.pyannote[2787].speaker SPEAKER_12
transcript.pyannote[2787].start 22545.21659375
transcript.pyannote[2787].end 22554.83534375
transcript.pyannote[2788].speaker SPEAKER_12
transcript.pyannote[2788].start 22555.20659375
transcript.pyannote[2788].end 22557.07971875
transcript.pyannote[2789].speaker SPEAKER_12
transcript.pyannote[2789].start 22557.73784375
transcript.pyannote[2789].end 22564.04909375
transcript.pyannote[2790].speaker SPEAKER_22
transcript.pyannote[2790].start 22580.68784375
transcript.pyannote[2790].end 22583.42159375
transcript.pyannote[2791].speaker SPEAKER_12
transcript.pyannote[2791].start 22583.48909375
transcript.pyannote[2791].end 22584.65346875
transcript.pyannote[2792].speaker SPEAKER_12
transcript.pyannote[2792].start 22585.81784375
transcript.pyannote[2792].end 22586.40846875
transcript.pyannote[2793].speaker SPEAKER_22
transcript.pyannote[2793].start 22586.03721875
transcript.pyannote[2793].end 22587.31971875
transcript.pyannote[2794].speaker SPEAKER_12
transcript.pyannote[2794].start 22589.10846875
transcript.pyannote[2794].end 22591.09971875
transcript.pyannote[2795].speaker SPEAKER_22
transcript.pyannote[2795].start 22590.57659375
transcript.pyannote[2795].end 22590.98159375
transcript.pyannote[2796].speaker SPEAKER_22
transcript.pyannote[2796].start 22591.89284375
transcript.pyannote[2796].end 22592.46659375
transcript.pyannote[2797].speaker SPEAKER_22
transcript.pyannote[2797].start 22593.19221875
transcript.pyannote[2797].end 22593.98534375
transcript.pyannote[2798].speaker SPEAKER_19
transcript.pyannote[2798].start 22596.22971875
transcript.pyannote[2798].end 22596.97221875
transcript.pyannote[2799].speaker SPEAKER_22
transcript.pyannote[2799].start 22596.97221875
transcript.pyannote[2799].end 22597.39409375
transcript.pyannote[2800].speaker SPEAKER_22
transcript.pyannote[2800].start 22597.96784375
transcript.pyannote[2800].end 22598.65971875
transcript.pyannote[2801].speaker SPEAKER_19
transcript.pyannote[2801].start 22598.15346875
transcript.pyannote[2801].end 22598.89596875
transcript.pyannote[2802].speaker SPEAKER_12
transcript.pyannote[2802].start 22598.89596875
transcript.pyannote[2802].end 22598.91284375
transcript.pyannote[2803].speaker SPEAKER_22
transcript.pyannote[2803].start 22599.25034375
transcript.pyannote[2803].end 22600.54971875
transcript.pyannote[2804].speaker SPEAKER_22
transcript.pyannote[2804].start 22601.56221875
transcript.pyannote[2804].end 22608.68346875
transcript.pyannote[2805].speaker SPEAKER_22
transcript.pyannote[2805].start 22609.17284375
transcript.pyannote[2805].end 22610.21909375
transcript.pyannote[2806].speaker SPEAKER_22
transcript.pyannote[2806].start 22611.19784375
transcript.pyannote[2806].end 22611.90659375
transcript.pyannote[2807].speaker SPEAKER_22
transcript.pyannote[2807].start 22612.10909375
transcript.pyannote[2807].end 22614.79221875
transcript.pyannote[2808].speaker SPEAKER_22
transcript.pyannote[2808].start 22615.36596875
transcript.pyannote[2808].end 22616.91846875
transcript.pyannote[2809].speaker SPEAKER_22
transcript.pyannote[2809].start 22617.40784375
transcript.pyannote[2809].end 22621.03596875
transcript.pyannote[2810].speaker SPEAKER_22
transcript.pyannote[2810].start 22621.10346875
transcript.pyannote[2810].end 22621.89659375
transcript.pyannote[2811].speaker SPEAKER_22
transcript.pyannote[2811].start 22622.62221875
transcript.pyannote[2811].end 22624.19159375
transcript.pyannote[2812].speaker SPEAKER_22
transcript.pyannote[2812].start 22624.49534375
transcript.pyannote[2812].end 22627.04346875
transcript.pyannote[2813].speaker SPEAKER_22
transcript.pyannote[2813].start 22627.71846875
transcript.pyannote[2813].end 22628.71409375
transcript.pyannote[2814].speaker SPEAKER_22
transcript.pyannote[2814].start 22629.10221875
transcript.pyannote[2814].end 22630.33409375
transcript.pyannote[2815].speaker SPEAKER_22
transcript.pyannote[2815].start 22630.94159375
transcript.pyannote[2815].end 22633.13534375
transcript.pyannote[2816].speaker SPEAKER_22
transcript.pyannote[2816].start 22633.92846875
transcript.pyannote[2816].end 22634.90721875
transcript.pyannote[2817].speaker SPEAKER_22
transcript.pyannote[2817].start 22635.36284375
transcript.pyannote[2817].end 22635.93659375
transcript.pyannote[2818].speaker SPEAKER_22
transcript.pyannote[2818].start 22636.40909375
transcript.pyannote[2818].end 22637.37096875
transcript.pyannote[2819].speaker SPEAKER_22
transcript.pyannote[2819].start 22637.87721875
transcript.pyannote[2819].end 22639.34534375
transcript.pyannote[2820].speaker SPEAKER_19
transcript.pyannote[2820].start 22639.86846875
transcript.pyannote[2820].end 22642.19721875
transcript.pyannote[2821].speaker SPEAKER_22
transcript.pyannote[2821].start 22641.01596875
transcript.pyannote[2821].end 22641.50534375
transcript.pyannote[2822].speaker SPEAKER_19
transcript.pyannote[2822].start 22642.51784375
transcript.pyannote[2822].end 22642.99034375
transcript.pyannote[2823].speaker SPEAKER_19
transcript.pyannote[2823].start 22644.07034375
transcript.pyannote[2823].end 22646.73659375
transcript.pyannote[2824].speaker SPEAKER_22
transcript.pyannote[2824].start 22646.80409375
transcript.pyannote[2824].end 22647.17534375
transcript.pyannote[2825].speaker SPEAKER_22
transcript.pyannote[2825].start 22647.64784375
transcript.pyannote[2825].end 22649.20034375
transcript.pyannote[2826].speaker SPEAKER_02
transcript.pyannote[2826].start 22648.77846875
transcript.pyannote[2826].end 22648.93034375
transcript.pyannote[2827].speaker SPEAKER_02
transcript.pyannote[2827].start 22649.74034375
transcript.pyannote[2827].end 22652.28846875
transcript.pyannote[2828].speaker SPEAKER_02
transcript.pyannote[2828].start 22652.52471875
transcript.pyannote[2828].end 22678.07346875
transcript.pyannote[2829].speaker SPEAKER_22
transcript.pyannote[2829].start 22678.32659375
transcript.pyannote[2829].end 22681.02659375
transcript.pyannote[2830].speaker SPEAKER_01
transcript.pyannote[2830].start 22681.02659375
transcript.pyannote[2830].end 22681.29659375
transcript.pyannote[2831].speaker SPEAKER_22
transcript.pyannote[2831].start 22681.29659375
transcript.pyannote[2831].end 22681.31346875
transcript.pyannote[2832].speaker SPEAKER_22
transcript.pyannote[2832].start 22681.48221875
transcript.pyannote[2832].end 22684.89096875
transcript.pyannote[2833].speaker SPEAKER_22
transcript.pyannote[2833].start 22685.32971875
transcript.pyannote[2833].end 22686.76409375
transcript.pyannote[2834].speaker SPEAKER_22
transcript.pyannote[2834].start 22687.00034375
transcript.pyannote[2834].end 22689.24471875
transcript.pyannote[2835].speaker SPEAKER_22
transcript.pyannote[2835].start 22689.71721875
transcript.pyannote[2835].end 22692.63659375
transcript.pyannote[2836].speaker SPEAKER_22
transcript.pyannote[2836].start 22693.19346875
transcript.pyannote[2836].end 22694.79659375
transcript.pyannote[2837].speaker SPEAKER_22
transcript.pyannote[2837].start 22695.55596875
transcript.pyannote[2837].end 22696.61909375
transcript.pyannote[2838].speaker SPEAKER_22
transcript.pyannote[2838].start 22697.34471875
transcript.pyannote[2838].end 22698.98159375
transcript.pyannote[2839].speaker SPEAKER_22
transcript.pyannote[2839].start 22699.52159375
transcript.pyannote[2839].end 22700.61846875
transcript.pyannote[2840].speaker SPEAKER_22
transcript.pyannote[2840].start 22701.64784375
transcript.pyannote[2840].end 22702.84596875
transcript.pyannote[2841].speaker SPEAKER_22
transcript.pyannote[2841].start 22703.01471875
transcript.pyannote[2841].end 22705.96784375
transcript.pyannote[2842].speaker SPEAKER_22
transcript.pyannote[2842].start 22706.60909375
transcript.pyannote[2842].end 22708.41471875
transcript.pyannote[2843].speaker SPEAKER_22
transcript.pyannote[2843].start 22709.49471875
transcript.pyannote[2843].end 22710.60846875
transcript.pyannote[2844].speaker SPEAKER_22
transcript.pyannote[2844].start 22711.08096875
transcript.pyannote[2844].end 22717.99971875
transcript.pyannote[2845].speaker SPEAKER_22
transcript.pyannote[2845].start 22718.43846875
transcript.pyannote[2845].end 22720.21034375
transcript.pyannote[2846].speaker SPEAKER_22
transcript.pyannote[2846].start 22720.56471875
transcript.pyannote[2846].end 22723.63596875
transcript.pyannote[2847].speaker SPEAKER_22
transcript.pyannote[2847].start 22723.99034375
transcript.pyannote[2847].end 22724.83409375
transcript.pyannote[2848].speaker SPEAKER_02
transcript.pyannote[2848].start 22724.14221875
transcript.pyannote[2848].end 22736.08971875
transcript.pyannote[2849].speaker SPEAKER_22
transcript.pyannote[2849].start 22728.74909375
transcript.pyannote[2849].end 22729.03596875
transcript.pyannote[2850].speaker SPEAKER_22
transcript.pyannote[2850].start 22733.82846875
transcript.pyannote[2850].end 22734.31784375
transcript.pyannote[2851].speaker SPEAKER_22
transcript.pyannote[2851].start 22735.43159375
transcript.pyannote[2851].end 22740.89909375
transcript.pyannote[2852].speaker SPEAKER_22
transcript.pyannote[2852].start 22741.38846875
transcript.pyannote[2852].end 22743.73409375
transcript.pyannote[2853].speaker SPEAKER_22
transcript.pyannote[2853].start 22744.51034375
transcript.pyannote[2853].end 22745.26971875
transcript.pyannote[2854].speaker SPEAKER_22
transcript.pyannote[2854].start 22745.42159375
transcript.pyannote[2854].end 22747.71659375
transcript.pyannote[2855].speaker SPEAKER_22
transcript.pyannote[2855].start 22748.69534375
transcript.pyannote[2855].end 22752.44159375
transcript.pyannote[2856].speaker SPEAKER_22
transcript.pyannote[2856].start 22753.25159375
transcript.pyannote[2856].end 22754.07846875
transcript.pyannote[2857].speaker SPEAKER_22
transcript.pyannote[2857].start 22754.34846875
transcript.pyannote[2857].end 22755.41159375
transcript.pyannote[2858].speaker SPEAKER_22
transcript.pyannote[2858].start 22756.47471875
transcript.pyannote[2858].end 22757.03159375
transcript.pyannote[2859].speaker SPEAKER_22
transcript.pyannote[2859].start 22757.38596875
transcript.pyannote[2859].end 22757.89221875
transcript.pyannote[2860].speaker SPEAKER_22
transcript.pyannote[2860].start 22758.38159375
transcript.pyannote[2860].end 22760.89596875
transcript.pyannote[2861].speaker SPEAKER_22
transcript.pyannote[2861].start 22761.36846875
transcript.pyannote[2861].end 22764.11909375
transcript.pyannote[2862].speaker SPEAKER_22
transcript.pyannote[2862].start 22764.70971875
transcript.pyannote[2862].end 22766.29596875
transcript.pyannote[2863].speaker SPEAKER_22
transcript.pyannote[2863].start 22766.78534375
transcript.pyannote[2863].end 22770.26159375
transcript.pyannote[2864].speaker SPEAKER_22
transcript.pyannote[2864].start 22770.90284375
transcript.pyannote[2864].end 22771.99971875
transcript.pyannote[2865].speaker SPEAKER_22
transcript.pyannote[2865].start 22773.13034375
transcript.pyannote[2865].end 22776.31971875
transcript.pyannote[2866].speaker SPEAKER_22
transcript.pyannote[2866].start 22777.14659375
transcript.pyannote[2866].end 22780.69034375
transcript.pyannote[2867].speaker SPEAKER_22
transcript.pyannote[2867].start 22781.36534375
transcript.pyannote[2867].end 22782.14159375
transcript.pyannote[2868].speaker SPEAKER_22
transcript.pyannote[2868].start 22783.20471875
transcript.pyannote[2868].end 22784.09909375
transcript.pyannote[2869].speaker SPEAKER_22
transcript.pyannote[2869].start 22784.62221875
transcript.pyannote[2869].end 22787.72721875
transcript.pyannote[2870].speaker SPEAKER_22
transcript.pyannote[2870].start 22788.85784375
transcript.pyannote[2870].end 22792.82346875
transcript.pyannote[2871].speaker SPEAKER_22
transcript.pyannote[2871].start 22793.14409375
transcript.pyannote[2871].end 22794.74721875
transcript.pyannote[2872].speaker SPEAKER_14
transcript.pyannote[2872].start 22795.82721875
transcript.pyannote[2872].end 22799.37096875
transcript.pyannote[2873].speaker SPEAKER_22
transcript.pyannote[2873].start 22796.53596875
transcript.pyannote[2873].end 22797.73409375
transcript.pyannote[2874].speaker SPEAKER_22
transcript.pyannote[2874].start 22799.37096875
transcript.pyannote[2874].end 22799.62409375
transcript.pyannote[2875].speaker SPEAKER_17
transcript.pyannote[2875].start 22799.62409375
transcript.pyannote[2875].end 22799.67471875
transcript.pyannote[2876].speaker SPEAKER_14
transcript.pyannote[2876].start 22799.67471875
transcript.pyannote[2876].end 22808.39909375
transcript.pyannote[2877].speaker SPEAKER_22
transcript.pyannote[2877].start 22799.72534375
transcript.pyannote[2877].end 22799.80971875
transcript.pyannote[2878].speaker SPEAKER_14
transcript.pyannote[2878].start 22808.61846875
transcript.pyannote[2878].end 22811.94284375
transcript.pyannote[2879].speaker SPEAKER_14
transcript.pyannote[2879].start 22812.38159375
transcript.pyannote[2879].end 22815.95909375
transcript.pyannote[2880].speaker SPEAKER_14
transcript.pyannote[2880].start 22816.41471875
transcript.pyannote[2880].end 22822.81034375
transcript.pyannote[2881].speaker SPEAKER_22
transcript.pyannote[2881].start 22820.11034375
transcript.pyannote[2881].end 22824.17721875
transcript.pyannote[2882].speaker SPEAKER_22
transcript.pyannote[2882].start 22824.66659375
transcript.pyannote[2882].end 22830.18471875
transcript.pyannote[2883].speaker SPEAKER_14
transcript.pyannote[2883].start 22826.03346875
transcript.pyannote[2883].end 22826.32034375
transcript.pyannote[2884].speaker SPEAKER_00
transcript.pyannote[2884].start 22826.32034375
transcript.pyannote[2884].end 22826.38784375
transcript.pyannote[2885].speaker SPEAKER_14
transcript.pyannote[2885].start 22827.29909375
transcript.pyannote[2885].end 22828.29471875
transcript.pyannote[2886].speaker SPEAKER_00
transcript.pyannote[2886].start 22828.29471875
transcript.pyannote[2886].end 22828.31159375
transcript.pyannote[2887].speaker SPEAKER_22
transcript.pyannote[2887].start 22830.35346875
transcript.pyannote[2887].end 22830.38721875
transcript.pyannote[2888].speaker SPEAKER_14
transcript.pyannote[2888].start 22830.38721875
transcript.pyannote[2888].end 22830.82596875
transcript.pyannote[2889].speaker SPEAKER_22
transcript.pyannote[2889].start 22830.48846875
transcript.pyannote[2889].end 22833.71159375
transcript.pyannote[2890].speaker SPEAKER_14
transcript.pyannote[2890].start 22833.40784375
transcript.pyannote[2890].end 22833.96471875
transcript.pyannote[2891].speaker SPEAKER_14
transcript.pyannote[2891].start 22834.40346875
transcript.pyannote[2891].end 22836.34409375
transcript.pyannote[2892].speaker SPEAKER_14
transcript.pyannote[2892].start 22836.61409375
transcript.pyannote[2892].end 22838.94284375
transcript.pyannote[2893].speaker SPEAKER_14
transcript.pyannote[2893].start 22839.16221875
transcript.pyannote[2893].end 22839.76971875
transcript.pyannote[2894].speaker SPEAKER_22
transcript.pyannote[2894].start 22839.61784375
transcript.pyannote[2894].end 22840.68096875
transcript.pyannote[2895].speaker SPEAKER_22
transcript.pyannote[2895].start 22841.10284375
transcript.pyannote[2895].end 22841.96346875
transcript.pyannote[2896].speaker SPEAKER_14
transcript.pyannote[2896].start 22841.27159375
transcript.pyannote[2896].end 22841.99721875
transcript.pyannote[2897].speaker SPEAKER_22
transcript.pyannote[2897].start 22841.99721875
transcript.pyannote[2897].end 22842.01409375
transcript.pyannote[2898].speaker SPEAKER_22
transcript.pyannote[2898].start 22842.23346875
transcript.pyannote[2898].end 22844.17409375
transcript.pyannote[2899].speaker SPEAKER_22
transcript.pyannote[2899].start 22844.41034375
transcript.pyannote[2899].end 22847.66721875
transcript.pyannote[2900].speaker SPEAKER_14
transcript.pyannote[2900].start 22847.49846875
transcript.pyannote[2900].end 22856.52659375
transcript.pyannote[2901].speaker SPEAKER_17
transcript.pyannote[2901].start 22851.21096875
transcript.pyannote[2901].end 22851.26159375
transcript.pyannote[2902].speaker SPEAKER_17
transcript.pyannote[2902].start 22851.31221875
transcript.pyannote[2902].end 22851.70034375
transcript.pyannote[2903].speaker SPEAKER_22
transcript.pyannote[2903].start 22852.94909375
transcript.pyannote[2903].end 22852.96596875
transcript.pyannote[2904].speaker SPEAKER_17
transcript.pyannote[2904].start 22852.96596875
transcript.pyannote[2904].end 22853.30346875
transcript.pyannote[2905].speaker SPEAKER_22
transcript.pyannote[2905].start 22853.30346875
transcript.pyannote[2905].end 22855.39596875
transcript.pyannote[2906].speaker SPEAKER_14
transcript.pyannote[2906].start 22856.81346875
transcript.pyannote[2906].end 22859.37846875
transcript.pyannote[2907].speaker SPEAKER_22
transcript.pyannote[2907].start 22860.32346875
transcript.pyannote[2907].end 22863.07409375
transcript.pyannote[2908].speaker SPEAKER_22
transcript.pyannote[2908].start 22863.59721875
transcript.pyannote[2908].end 22866.33096875
transcript.pyannote[2909].speaker SPEAKER_22
transcript.pyannote[2909].start 22866.55034375
transcript.pyannote[2909].end 22867.44471875
transcript.pyannote[2910].speaker SPEAKER_14
transcript.pyannote[2910].start 22867.44471875
transcript.pyannote[2910].end 22867.63034375
transcript.pyannote[2911].speaker SPEAKER_22
transcript.pyannote[2911].start 22867.91721875
transcript.pyannote[2911].end 22869.19971875
transcript.pyannote[2912].speaker SPEAKER_22
transcript.pyannote[2912].start 22870.11096875
transcript.pyannote[2912].end 22871.56221875
transcript.pyannote[2913].speaker SPEAKER_22
transcript.pyannote[2913].start 22871.76471875
transcript.pyannote[2913].end 22874.02596875
transcript.pyannote[2914].speaker SPEAKER_22
transcript.pyannote[2914].start 22874.51534375
transcript.pyannote[2914].end 22875.93284375
transcript.pyannote[2915].speaker SPEAKER_22
transcript.pyannote[2915].start 22876.30409375
transcript.pyannote[2915].end 22876.84409375
transcript.pyannote[2916].speaker SPEAKER_22
transcript.pyannote[2916].start 22877.41784375
transcript.pyannote[2916].end 22878.64971875
transcript.pyannote[2917].speaker SPEAKER_22
transcript.pyannote[2917].start 22879.39221875
transcript.pyannote[2917].end 22881.87284375
transcript.pyannote[2918].speaker SPEAKER_22
transcript.pyannote[2918].start 22882.34534375
transcript.pyannote[2918].end 22884.79221875
transcript.pyannote[2919].speaker SPEAKER_14
transcript.pyannote[2919].start 22885.95659375
transcript.pyannote[2919].end 22888.13346875
transcript.pyannote[2920].speaker SPEAKER_14
transcript.pyannote[2920].start 22888.53846875
transcript.pyannote[2920].end 22891.20471875
transcript.pyannote[2921].speaker SPEAKER_14
transcript.pyannote[2921].start 22891.27221875
transcript.pyannote[2921].end 22898.78159375
transcript.pyannote[2922].speaker SPEAKER_22
transcript.pyannote[2922].start 22897.90409375
transcript.pyannote[2922].end 22899.32159375
transcript.pyannote[2923].speaker SPEAKER_14
transcript.pyannote[2923].start 22899.38909375
transcript.pyannote[2923].end 22899.70971875
transcript.pyannote[2924].speaker SPEAKER_22
transcript.pyannote[2924].start 22899.86159375
transcript.pyannote[2924].end 22903.18596875
transcript.pyannote[2925].speaker SPEAKER_22
transcript.pyannote[2925].start 22904.08034375
transcript.pyannote[2925].end 22911.10034375
transcript.pyannote[2926].speaker SPEAKER_17
transcript.pyannote[2926].start 22909.02471875
transcript.pyannote[2926].end 22909.31159375
transcript.pyannote[2927].speaker SPEAKER_22
transcript.pyannote[2927].start 22911.58971875
transcript.pyannote[2927].end 22915.03221875
transcript.pyannote[2928].speaker SPEAKER_22
transcript.pyannote[2928].start 22915.26846875
transcript.pyannote[2928].end 22918.55909375
transcript.pyannote[2929].speaker SPEAKER_22
transcript.pyannote[2929].start 22918.96409375
transcript.pyannote[2929].end 22920.51659375
transcript.pyannote[2930].speaker SPEAKER_22
transcript.pyannote[2930].start 22921.12409375
transcript.pyannote[2930].end 22922.03534375
transcript.pyannote[2931].speaker SPEAKER_22
transcript.pyannote[2931].start 22922.60909375
transcript.pyannote[2931].end 22923.25034375
transcript.pyannote[2932].speaker SPEAKER_22
transcript.pyannote[2932].start 22923.58784375
transcript.pyannote[2932].end 22924.97159375
transcript.pyannote[2933].speaker SPEAKER_14
transcript.pyannote[2933].start 22924.66784375
transcript.pyannote[2933].end 22925.81534375
transcript.pyannote[2934].speaker SPEAKER_22
transcript.pyannote[2934].start 22926.10221875
transcript.pyannote[2934].end 22927.92471875
transcript.pyannote[2935].speaker SPEAKER_22
transcript.pyannote[2935].start 22928.26221875
transcript.pyannote[2935].end 22930.38846875
transcript.pyannote[2936].speaker SPEAKER_22
transcript.pyannote[2936].start 22930.74284375
transcript.pyannote[2936].end 22937.05409375
transcript.pyannote[2937].speaker SPEAKER_14
transcript.pyannote[2937].start 22937.08784375
transcript.pyannote[2937].end 22939.02846875
transcript.pyannote[2938].speaker SPEAKER_22
transcript.pyannote[2938].start 22938.20159375
transcript.pyannote[2938].end 22940.04096875
transcript.pyannote[2939].speaker SPEAKER_14
transcript.pyannote[2939].start 22940.07471875
transcript.pyannote[2939].end 22940.46284375
transcript.pyannote[2940].speaker SPEAKER_22
transcript.pyannote[2940].start 22940.64846875
transcript.pyannote[2940].end 22941.13784375
transcript.pyannote[2941].speaker SPEAKER_14
transcript.pyannote[2941].start 22941.27284375
transcript.pyannote[2941].end 22941.45846875
transcript.pyannote[2942].speaker SPEAKER_00
transcript.pyannote[2942].start 22941.45846875
transcript.pyannote[2942].end 22941.47534375
transcript.pyannote[2943].speaker SPEAKER_22
transcript.pyannote[2943].start 22942.92659375
transcript.pyannote[2943].end 22943.48346875
transcript.pyannote[2944].speaker SPEAKER_22
transcript.pyannote[2944].start 22947.19596875
transcript.pyannote[2944].end 22947.73596875
transcript.pyannote[2945].speaker SPEAKER_22
transcript.pyannote[2945].start 22948.39409375
transcript.pyannote[2945].end 22949.40659375
transcript.pyannote[2946].speaker SPEAKER_22
transcript.pyannote[2946].start 22949.99721875
transcript.pyannote[2946].end 22950.57096875
transcript.pyannote[2947].speaker SPEAKER_22
transcript.pyannote[2947].start 22951.09409375
transcript.pyannote[2947].end 22951.58346875
transcript.pyannote[2948].speaker SPEAKER_22
transcript.pyannote[2948].start 22951.97159375
transcript.pyannote[2948].end 22952.56221875
transcript.pyannote[2949].speaker SPEAKER_22
transcript.pyannote[2949].start 22953.81096875
transcript.pyannote[2949].end 22955.17784375
transcript.pyannote[2950].speaker SPEAKER_22
transcript.pyannote[2950].start 22955.65034375
transcript.pyannote[2950].end 22957.10159375
transcript.pyannote[2951].speaker SPEAKER_22
transcript.pyannote[2951].start 22957.42221875
transcript.pyannote[2951].end 22957.84409375
transcript.pyannote[2952].speaker SPEAKER_22
transcript.pyannote[2952].start 22958.31659375
transcript.pyannote[2952].end 22959.63284375
transcript.pyannote[2953].speaker SPEAKER_22
transcript.pyannote[2953].start 22960.42596875
transcript.pyannote[2953].end 22962.55221875
transcript.pyannote[2954].speaker SPEAKER_22
transcript.pyannote[2954].start 22963.14284375
transcript.pyannote[2954].end 22965.55596875
transcript.pyannote[2955].speaker SPEAKER_22
transcript.pyannote[2955].start 22966.19721875
transcript.pyannote[2955].end 22969.52159375
transcript.pyannote[2956].speaker SPEAKER_22
transcript.pyannote[2956].start 22970.58471875
transcript.pyannote[2956].end 22972.47471875
transcript.pyannote[2957].speaker SPEAKER_22
transcript.pyannote[2957].start 22973.01471875
transcript.pyannote[2957].end 22976.03534375
transcript.pyannote[2958].speaker SPEAKER_22
transcript.pyannote[2958].start 22977.01409375
transcript.pyannote[2958].end 22978.75221875
transcript.pyannote[2959].speaker SPEAKER_22
transcript.pyannote[2959].start 22979.30909375
transcript.pyannote[2959].end 22980.91221875
transcript.pyannote[2960].speaker SPEAKER_22
transcript.pyannote[2960].start 22981.40159375
transcript.pyannote[2960].end 22983.39284375
transcript.pyannote[2961].speaker SPEAKER_22
transcript.pyannote[2961].start 22983.79784375
transcript.pyannote[2961].end 22984.64159375
transcript.pyannote[2962].speaker SPEAKER_22
transcript.pyannote[2962].start 22985.14784375
transcript.pyannote[2962].end 22989.48471875
transcript.pyannote[2963].speaker SPEAKER_22
transcript.pyannote[2963].start 22989.94034375
transcript.pyannote[2963].end 22991.96534375
transcript.pyannote[2964].speaker SPEAKER_22
transcript.pyannote[2964].start 22992.48846875
transcript.pyannote[2964].end 22993.50096875
transcript.pyannote[2965].speaker SPEAKER_22
transcript.pyannote[2965].start 22994.20971875
transcript.pyannote[2965].end 22996.30221875
transcript.pyannote[2966].speaker SPEAKER_22
transcript.pyannote[2966].start 22996.77471875
transcript.pyannote[2966].end 22999.00221875
transcript.pyannote[2967].speaker SPEAKER_22
transcript.pyannote[2967].start 22999.82909375
transcript.pyannote[2967].end 23002.47846875
transcript.pyannote[2968].speaker SPEAKER_22
transcript.pyannote[2968].start 23003.15346875
transcript.pyannote[2968].end 23005.14471875
transcript.pyannote[2969].speaker SPEAKER_22
transcript.pyannote[2969].start 23005.38096875
transcript.pyannote[2969].end 23006.86596875
transcript.pyannote[2970].speaker SPEAKER_19
transcript.pyannote[2970].start 23007.25409375
transcript.pyannote[2970].end 23010.27471875
transcript.pyannote[2971].speaker SPEAKER_19
transcript.pyannote[2971].start 23010.37596875
transcript.pyannote[2971].end 23011.25346875
transcript.pyannote[2972].speaker SPEAKER_22
transcript.pyannote[2972].start 23011.57409375
transcript.pyannote[2972].end 23012.75534375
transcript.pyannote[2973].speaker SPEAKER_00
transcript.pyannote[2973].start 23011.77659375
transcript.pyannote[2973].end 23011.84409375
transcript.pyannote[2974].speaker SPEAKER_19
transcript.pyannote[2974].start 23011.84409375
transcript.pyannote[2974].end 23012.45159375
transcript.pyannote[2975].speaker SPEAKER_22
transcript.pyannote[2975].start 23013.39659375
transcript.pyannote[2975].end 23014.54409375
transcript.pyannote[2976].speaker SPEAKER_22
transcript.pyannote[2976].start 23014.83096875
transcript.pyannote[2976].end 23015.86034375
transcript.pyannote[2977].speaker SPEAKER_22
transcript.pyannote[2977].start 23016.33284375
transcript.pyannote[2977].end 23017.69971875
transcript.pyannote[2978].speaker SPEAKER_22
transcript.pyannote[2978].start 23018.22284375
transcript.pyannote[2978].end 23020.12971875
transcript.pyannote[2979].speaker SPEAKER_22
transcript.pyannote[2979].start 23020.85534375
transcript.pyannote[2979].end 23022.10409375
transcript.pyannote[2980].speaker SPEAKER_22
transcript.pyannote[2980].start 23022.66096875
transcript.pyannote[2980].end 23024.11221875
transcript.pyannote[2981].speaker SPEAKER_22
transcript.pyannote[2981].start 23024.97284375
transcript.pyannote[2981].end 23026.40721875
transcript.pyannote[2982].speaker SPEAKER_22
transcript.pyannote[2982].start 23026.74471875
transcript.pyannote[2982].end 23028.33096875
transcript.pyannote[2983].speaker SPEAKER_22
transcript.pyannote[2983].start 23028.92159375
transcript.pyannote[2983].end 23030.67659375
transcript.pyannote[2984].speaker SPEAKER_22
transcript.pyannote[2984].start 23031.11534375
transcript.pyannote[2984].end 23034.45659375
transcript.pyannote[2985].speaker SPEAKER_22
transcript.pyannote[2985].start 23034.92909375
transcript.pyannote[2985].end 23036.56596875
transcript.pyannote[2986].speaker SPEAKER_22
transcript.pyannote[2986].start 23037.15659375
transcript.pyannote[2986].end 23041.54409375
transcript.pyannote[2987].speaker SPEAKER_22
transcript.pyannote[2987].start 23042.45534375
transcript.pyannote[2987].end 23044.09221875
transcript.pyannote[2988].speaker SPEAKER_22
transcript.pyannote[2988].start 23044.39596875
transcript.pyannote[2988].end 23046.79221875
transcript.pyannote[2989].speaker SPEAKER_02
transcript.pyannote[2989].start 23047.19721875
transcript.pyannote[2989].end 23047.34909375
transcript.pyannote[2990].speaker SPEAKER_22
transcript.pyannote[2990].start 23047.34909375
transcript.pyannote[2990].end 23047.41659375
transcript.pyannote[2991].speaker SPEAKER_02
transcript.pyannote[2991].start 23047.41659375
transcript.pyannote[2991].end 23048.09159375
transcript.pyannote[2992].speaker SPEAKER_22
transcript.pyannote[2992].start 23047.60221875
transcript.pyannote[2992].end 23048.39534375
transcript.pyannote[2993].speaker SPEAKER_02
transcript.pyannote[2993].start 23048.39534375
transcript.pyannote[2993].end 23048.42909375
transcript.pyannote[2994].speaker SPEAKER_02
transcript.pyannote[2994].start 23048.44596875
transcript.pyannote[2994].end 23051.43284375
transcript.pyannote[2995].speaker SPEAKER_22
transcript.pyannote[2995].start 23050.16721875
transcript.pyannote[2995].end 23050.31909375
transcript.pyannote[2996].speaker SPEAKER_01
transcript.pyannote[2996].start 23050.31909375
transcript.pyannote[2996].end 23050.38659375
transcript.pyannote[2997].speaker SPEAKER_22
transcript.pyannote[2997].start 23050.38659375
transcript.pyannote[2997].end 23050.47096875
transcript.pyannote[2998].speaker SPEAKER_01
transcript.pyannote[2998].start 23050.47096875
transcript.pyannote[2998].end 23050.50471875
transcript.pyannote[2999].speaker SPEAKER_02
transcript.pyannote[2999].start 23051.73659375
transcript.pyannote[2999].end 23069.86034375
transcript.pyannote[3000].speaker SPEAKER_00
transcript.pyannote[3000].start 23060.10659375
transcript.pyannote[3000].end 23060.54534375
transcript.pyannote[3001].speaker SPEAKER_00
transcript.pyannote[3001].start 23061.81096875
transcript.pyannote[3001].end 23061.91221875
transcript.pyannote[3002].speaker SPEAKER_02
transcript.pyannote[3002].start 23070.11346875
transcript.pyannote[3002].end 23075.26034375
transcript.pyannote[3003].speaker SPEAKER_02
transcript.pyannote[3003].start 23075.51346875
transcript.pyannote[3003].end 23076.49221875
transcript.pyannote[3004].speaker SPEAKER_22
transcript.pyannote[3004].start 23075.58096875
transcript.pyannote[3004].end 23076.82971875
transcript.pyannote[3005].speaker SPEAKER_02
transcript.pyannote[3005].start 23076.82971875
transcript.pyannote[3005].end 23077.03221875
transcript.pyannote[3006].speaker SPEAKER_22
transcript.pyannote[3006].start 23077.03221875
transcript.pyannote[3006].end 23077.50471875
transcript.pyannote[3007].speaker SPEAKER_02
transcript.pyannote[3007].start 23077.92659375
transcript.pyannote[3007].end 23077.96034375
transcript.pyannote[3008].speaker SPEAKER_22
transcript.pyannote[3008].start 23077.96034375
transcript.pyannote[3008].end 23080.05284375
transcript.pyannote[3009].speaker SPEAKER_22
transcript.pyannote[3009].start 23081.09909375
transcript.pyannote[3009].end 23084.81159375
transcript.pyannote[3010].speaker SPEAKER_22
transcript.pyannote[3010].start 23085.09846875
transcript.pyannote[3010].end 23085.84096875
transcript.pyannote[3011].speaker SPEAKER_23
transcript.pyannote[3011].start 23085.18284375
transcript.pyannote[3011].end 23085.79034375
transcript.pyannote[3012].speaker SPEAKER_22
transcript.pyannote[3012].start 23086.22909375
transcript.pyannote[3012].end 23088.87846875
transcript.pyannote[3013].speaker SPEAKER_23
transcript.pyannote[3013].start 23087.59596875
transcript.pyannote[3013].end 23088.72659375
transcript.pyannote[3014].speaker SPEAKER_23
transcript.pyannote[3014].start 23088.74346875
transcript.pyannote[3014].end 23089.18221875
transcript.pyannote[3015].speaker SPEAKER_22
transcript.pyannote[3015].start 23089.18221875
transcript.pyannote[3015].end 23093.85659375
transcript.pyannote[3016].speaker SPEAKER_22
transcript.pyannote[3016].start 23094.22784375
transcript.pyannote[3016].end 23096.03346875
transcript.pyannote[3017].speaker SPEAKER_22
transcript.pyannote[3017].start 23096.23596875
transcript.pyannote[3017].end 23097.87284375
transcript.pyannote[3018].speaker SPEAKER_22
transcript.pyannote[3018].start 23098.44659375
transcript.pyannote[3018].end 23099.44221875
transcript.pyannote[3019].speaker SPEAKER_22
transcript.pyannote[3019].start 23099.86409375
transcript.pyannote[3019].end 23100.72471875
transcript.pyannote[3020].speaker SPEAKER_22
transcript.pyannote[3020].start 23101.11284375
transcript.pyannote[3020].end 23101.90596875
transcript.pyannote[3021].speaker SPEAKER_02
transcript.pyannote[3021].start 23101.33221875
transcript.pyannote[3021].end 23110.02284375
transcript.pyannote[3022].speaker SPEAKER_22
transcript.pyannote[3022].start 23103.40784375
transcript.pyannote[3022].end 23105.16284375
transcript.pyannote[3023].speaker SPEAKER_22
transcript.pyannote[3023].start 23106.90096875
transcript.pyannote[3023].end 23107.42409375
transcript.pyannote[3024].speaker SPEAKER_22
transcript.pyannote[3024].start 23108.65596875
transcript.pyannote[3024].end 23109.34784375
transcript.pyannote[3025].speaker SPEAKER_22
transcript.pyannote[3025].start 23110.02284375
transcript.pyannote[3025].end 23110.03971875
transcript.pyannote[3026].speaker SPEAKER_02
transcript.pyannote[3026].start 23110.03971875
transcript.pyannote[3026].end 23110.96784375
transcript.pyannote[3027].speaker SPEAKER_22
transcript.pyannote[3027].start 23110.10721875
transcript.pyannote[3027].end 23113.21221875
transcript.pyannote[3028].speaker SPEAKER_22
transcript.pyannote[3028].start 23113.70159375
transcript.pyannote[3028].end 23115.70971875
transcript.pyannote[3029].speaker SPEAKER_22
transcript.pyannote[3029].start 23116.40159375
transcript.pyannote[3029].end 23117.29596875
transcript.pyannote[3030].speaker SPEAKER_22
transcript.pyannote[3030].start 23117.58284375
transcript.pyannote[3030].end 23117.92034375
transcript.pyannote[3031].speaker SPEAKER_22
transcript.pyannote[3031].start 23118.54471875
transcript.pyannote[3031].end 23118.83159375
transcript.pyannote[3032].speaker SPEAKER_22
transcript.pyannote[3032].start 23119.01721875
transcript.pyannote[3032].end 23120.13096875
transcript.pyannote[3033].speaker SPEAKER_22
transcript.pyannote[3033].start 23120.43471875
transcript.pyannote[3033].end 23122.42596875
transcript.pyannote[3034].speaker SPEAKER_22
transcript.pyannote[3034].start 23122.72971875
transcript.pyannote[3034].end 23123.55659375
transcript.pyannote[3035].speaker SPEAKER_22
transcript.pyannote[3035].start 23124.18096875
transcript.pyannote[3035].end 23125.02471875
transcript.pyannote[3036].speaker SPEAKER_22
transcript.pyannote[3036].start 23125.66596875
transcript.pyannote[3036].end 23127.18471875
transcript.pyannote[3037].speaker SPEAKER_22
transcript.pyannote[3037].start 23127.91034375
transcript.pyannote[3037].end 23128.41659375
transcript.pyannote[3038].speaker SPEAKER_22
transcript.pyannote[3038].start 23129.66534375
transcript.pyannote[3038].end 23132.17971875
transcript.pyannote[3039].speaker SPEAKER_19
transcript.pyannote[3039].start 23132.48346875
transcript.pyannote[3039].end 23133.25971875
transcript.pyannote[3040].speaker SPEAKER_19
transcript.pyannote[3040].start 23133.39471875
transcript.pyannote[3040].end 23152.81784375
transcript.pyannote[3041].speaker SPEAKER_00
transcript.pyannote[3041].start 23147.13096875
transcript.pyannote[3041].end 23147.60346875
transcript.pyannote[3042].speaker SPEAKER_19
transcript.pyannote[3042].start 23152.96971875
transcript.pyannote[3042].end 23155.24784375
transcript.pyannote[3043].speaker SPEAKER_19
transcript.pyannote[3043].start 23155.56846875
transcript.pyannote[3043].end 23159.34846875
transcript.pyannote[3044].speaker SPEAKER_19
transcript.pyannote[3044].start 23159.70284375
transcript.pyannote[3044].end 23162.94284375
transcript.pyannote[3045].speaker SPEAKER_19
transcript.pyannote[3045].start 23163.12846875
transcript.pyannote[3045].end 23165.98034375
transcript.pyannote[3046].speaker SPEAKER_22
transcript.pyannote[3046].start 23163.39846875
transcript.pyannote[3046].end 23164.69784375
transcript.pyannote[3047].speaker SPEAKER_22
transcript.pyannote[3047].start 23165.74409375
transcript.pyannote[3047].end 23168.79846875
transcript.pyannote[3048].speaker SPEAKER_22
transcript.pyannote[3048].start 23168.91659375
transcript.pyannote[3048].end 23173.00034375
transcript.pyannote[3049].speaker SPEAKER_22
transcript.pyannote[3049].start 23173.47284375
transcript.pyannote[3049].end 23175.16034375
transcript.pyannote[3050].speaker SPEAKER_22
transcript.pyannote[3050].start 23175.56534375
transcript.pyannote[3050].end 23177.35409375
transcript.pyannote[3051].speaker SPEAKER_22
transcript.pyannote[3051].start 23177.74221875
transcript.pyannote[3051].end 23181.16784375
transcript.pyannote[3052].speaker SPEAKER_22
transcript.pyannote[3052].start 23181.80909375
transcript.pyannote[3052].end 23186.50034375
transcript.pyannote[3053].speaker SPEAKER_22
transcript.pyannote[3053].start 23186.71971875
transcript.pyannote[3053].end 23190.09471875
transcript.pyannote[3054].speaker SPEAKER_22
transcript.pyannote[3054].start 23190.66846875
transcript.pyannote[3054].end 23191.84971875
transcript.pyannote[3055].speaker SPEAKER_22
transcript.pyannote[3055].start 23192.40659375
transcript.pyannote[3055].end 23195.14034375
transcript.pyannote[3056].speaker SPEAKER_22
transcript.pyannote[3056].start 23196.11909375
transcript.pyannote[3056].end 23199.88221875
transcript.pyannote[3057].speaker SPEAKER_22
transcript.pyannote[3057].start 23200.35471875
transcript.pyannote[3057].end 23202.41346875
transcript.pyannote[3058].speaker SPEAKER_22
transcript.pyannote[3058].start 23202.83534375
transcript.pyannote[3058].end 23203.93221875
transcript.pyannote[3059].speaker SPEAKER_22
transcript.pyannote[3059].start 23204.37096875
transcript.pyannote[3059].end 23205.88971875
transcript.pyannote[3060].speaker SPEAKER_22
transcript.pyannote[3060].start 23206.32846875
transcript.pyannote[3060].end 23207.62784375
transcript.pyannote[3061].speaker SPEAKER_22
transcript.pyannote[3061].start 23208.33659375
transcript.pyannote[3061].end 23209.75409375
transcript.pyannote[3062].speaker SPEAKER_22
transcript.pyannote[3062].start 23210.37846875
transcript.pyannote[3062].end 23211.93096875
transcript.pyannote[3063].speaker SPEAKER_22
transcript.pyannote[3063].start 23212.48784375
transcript.pyannote[3063].end 23214.41159375
transcript.pyannote[3064].speaker SPEAKER_22
transcript.pyannote[3064].start 23214.81659375
transcript.pyannote[3064].end 23215.54221875
transcript.pyannote[3065].speaker SPEAKER_22
transcript.pyannote[3065].start 23216.06534375
transcript.pyannote[3065].end 23217.19596875
transcript.pyannote[3066].speaker SPEAKER_22
transcript.pyannote[3066].start 23217.51659375
transcript.pyannote[3066].end 23218.29284375
transcript.pyannote[3067].speaker SPEAKER_22
transcript.pyannote[3067].start 23218.76534375
transcript.pyannote[3067].end 23219.40659375
transcript.pyannote[3068].speaker SPEAKER_22
transcript.pyannote[3068].start 23220.25034375
transcript.pyannote[3068].end 23221.29659375
transcript.pyannote[3069].speaker SPEAKER_22
transcript.pyannote[3069].start 23221.78596875
transcript.pyannote[3069].end 23222.96721875
transcript.pyannote[3070].speaker SPEAKER_22
transcript.pyannote[3070].start 23223.40596875
transcript.pyannote[3070].end 23223.60846875
transcript.pyannote[3071].speaker SPEAKER_22
transcript.pyannote[3071].start 23223.99659375
transcript.pyannote[3071].end 23226.19034375
transcript.pyannote[3072].speaker SPEAKER_22
transcript.pyannote[3072].start 23226.71346875
transcript.pyannote[3072].end 23227.30409375
transcript.pyannote[3073].speaker SPEAKER_22
transcript.pyannote[3073].start 23227.40534375
transcript.pyannote[3073].end 23228.67096875
transcript.pyannote[3074].speaker SPEAKER_19
transcript.pyannote[3074].start 23227.67534375
transcript.pyannote[3074].end 23232.01221875
transcript.pyannote[3075].speaker SPEAKER_22
transcript.pyannote[3075].start 23232.01221875
transcript.pyannote[3075].end 23232.04596875
transcript.pyannote[3076].speaker SPEAKER_19
transcript.pyannote[3076].start 23232.04596875
transcript.pyannote[3076].end 23238.91409375
transcript.pyannote[3077].speaker SPEAKER_22
transcript.pyannote[3077].start 23232.14721875
transcript.pyannote[3077].end 23232.97409375
transcript.pyannote[3078].speaker SPEAKER_21
transcript.pyannote[3078].start 23232.97409375
transcript.pyannote[3078].end 23233.02471875
transcript.pyannote[3079].speaker SPEAKER_22
transcript.pyannote[3079].start 23233.02471875
transcript.pyannote[3079].end 23233.96971875
transcript.pyannote[3080].speaker SPEAKER_15
transcript.pyannote[3080].start 23233.96971875
transcript.pyannote[3080].end 23234.00346875
transcript.pyannote[3081].speaker SPEAKER_22
transcript.pyannote[3081].start 23234.00346875
transcript.pyannote[3081].end 23234.02034375
transcript.pyannote[3082].speaker SPEAKER_19
transcript.pyannote[3082].start 23239.35284375
transcript.pyannote[3082].end 23240.21346875
transcript.pyannote[3083].speaker SPEAKER_19
transcript.pyannote[3083].start 23240.90534375
transcript.pyannote[3083].end 23243.30159375
transcript.pyannote[3084].speaker SPEAKER_19
transcript.pyannote[3084].start 23243.48721875
transcript.pyannote[3084].end 23245.27596875
transcript.pyannote[3085].speaker SPEAKER_19
transcript.pyannote[3085].start 23245.42784375
transcript.pyannote[3085].end 23246.89596875
transcript.pyannote[3086].speaker SPEAKER_22
transcript.pyannote[3086].start 23247.26721875
transcript.pyannote[3086].end 23247.80721875
transcript.pyannote[3087].speaker SPEAKER_22
transcript.pyannote[3087].start 23248.51596875
transcript.pyannote[3087].end 23251.55346875
transcript.pyannote[3088].speaker SPEAKER_22
transcript.pyannote[3088].start 23252.04284375
transcript.pyannote[3088].end 23255.53596875
transcript.pyannote[3089].speaker SPEAKER_22
transcript.pyannote[3089].start 23255.85659375
transcript.pyannote[3089].end 23258.38784375
transcript.pyannote[3090].speaker SPEAKER_22
transcript.pyannote[3090].start 23258.72534375
transcript.pyannote[3090].end 23261.50971875
transcript.pyannote[3091].speaker SPEAKER_22
transcript.pyannote[3091].start 23261.98221875
transcript.pyannote[3091].end 23263.41659375
transcript.pyannote[3092].speaker SPEAKER_22
transcript.pyannote[3092].start 23263.68659375
transcript.pyannote[3092].end 23266.75784375
transcript.pyannote[3093].speaker SPEAKER_22
transcript.pyannote[3093].start 23267.12909375
transcript.pyannote[3093].end 23269.30596875
transcript.pyannote[3094].speaker SPEAKER_22
transcript.pyannote[3094].start 23269.64346875
transcript.pyannote[3094].end 23273.67659375
transcript.pyannote[3095].speaker SPEAKER_02
transcript.pyannote[3095].start 23270.48721875
transcript.pyannote[3095].end 23273.45721875
transcript.pyannote[3096].speaker SPEAKER_02
transcript.pyannote[3096].start 23273.67659375
transcript.pyannote[3096].end 23273.71034375
transcript.pyannote[3097].speaker SPEAKER_22
transcript.pyannote[3097].start 23273.71034375
transcript.pyannote[3097].end 23273.72721875
transcript.pyannote[3098].speaker SPEAKER_02
transcript.pyannote[3098].start 23273.72721875
transcript.pyannote[3098].end 23273.81159375
transcript.pyannote[3099].speaker SPEAKER_22
transcript.pyannote[3099].start 23273.81159375
transcript.pyannote[3099].end 23277.01784375
transcript.pyannote[3100].speaker SPEAKER_02
transcript.pyannote[3100].start 23273.91284375
transcript.pyannote[3100].end 23276.61284375
transcript.pyannote[3101].speaker SPEAKER_22
transcript.pyannote[3101].start 23277.27096875
transcript.pyannote[3101].end 23279.22846875
transcript.pyannote[3102].speaker SPEAKER_22
transcript.pyannote[3102].start 23279.58284375
transcript.pyannote[3102].end 23281.55721875
transcript.pyannote[3103].speaker SPEAKER_22
transcript.pyannote[3103].start 23281.72596875
transcript.pyannote[3103].end 23283.85221875
transcript.pyannote[3104].speaker SPEAKER_22
transcript.pyannote[3104].start 23284.29096875
transcript.pyannote[3104].end 23285.43846875
transcript.pyannote[3105].speaker SPEAKER_02
transcript.pyannote[3105].start 23285.43846875
transcript.pyannote[3105].end 23285.45534375
transcript.pyannote[3106].speaker SPEAKER_22
transcript.pyannote[3106].start 23286.06284375
transcript.pyannote[3106].end 23286.07971875
transcript.pyannote[3107].speaker SPEAKER_02
transcript.pyannote[3107].start 23286.07971875
transcript.pyannote[3107].end 23313.28221875
transcript.pyannote[3108].speaker SPEAKER_02
transcript.pyannote[3108].start 23313.38346875
transcript.pyannote[3108].end 23321.92221875
transcript.pyannote[3109].speaker SPEAKER_02
transcript.pyannote[3109].start 23322.27659375
transcript.pyannote[3109].end 23323.03596875
transcript.pyannote[3110].speaker SPEAKER_22
transcript.pyannote[3110].start 23323.03596875
transcript.pyannote[3110].end 23323.60971875
transcript.pyannote[3111].speaker SPEAKER_02
transcript.pyannote[3111].start 23324.31846875
transcript.pyannote[3111].end 23324.33534375
transcript.pyannote[3112].speaker SPEAKER_22
transcript.pyannote[3112].start 23324.33534375
transcript.pyannote[3112].end 23328.13221875
transcript.pyannote[3113].speaker SPEAKER_17
transcript.pyannote[3113].start 23328.28409375
transcript.pyannote[3113].end 23328.50346875
transcript.pyannote[3114].speaker SPEAKER_22
transcript.pyannote[3114].start 23328.50346875
transcript.pyannote[3114].end 23333.78534375
transcript.pyannote[3115].speaker SPEAKER_22
transcript.pyannote[3115].start 23334.22409375
transcript.pyannote[3115].end 23337.56534375
transcript.pyannote[3116].speaker SPEAKER_22
transcript.pyannote[3116].start 23338.08846875
transcript.pyannote[3116].end 23339.67471875
transcript.pyannote[3117].speaker SPEAKER_22
transcript.pyannote[3117].start 23340.13034375
transcript.pyannote[3117].end 23341.80096875
transcript.pyannote[3118].speaker SPEAKER_22
transcript.pyannote[3118].start 23342.05409375
transcript.pyannote[3118].end 23344.01159375
transcript.pyannote[3119].speaker SPEAKER_22
transcript.pyannote[3119].start 23344.14659375
transcript.pyannote[3119].end 23345.56409375
transcript.pyannote[3120].speaker SPEAKER_01
transcript.pyannote[3120].start 23345.68221875
transcript.pyannote[3120].end 23346.05346875
transcript.pyannote[3121].speaker SPEAKER_22
transcript.pyannote[3121].start 23346.05346875
transcript.pyannote[3121].end 23349.81659375
transcript.pyannote[3122].speaker SPEAKER_01
transcript.pyannote[3122].start 23346.22221875
transcript.pyannote[3122].end 23346.62721875
transcript.pyannote[3123].speaker SPEAKER_22
transcript.pyannote[3123].start 23350.32284375
transcript.pyannote[3123].end 23352.44909375
transcript.pyannote[3124].speaker SPEAKER_22
transcript.pyannote[3124].start 23352.76971875
transcript.pyannote[3124].end 23355.01409375
transcript.pyannote[3125].speaker SPEAKER_22
transcript.pyannote[3125].start 23355.30096875
transcript.pyannote[3125].end 23356.49909375
transcript.pyannote[3126].speaker SPEAKER_22
transcript.pyannote[3126].start 23356.97159375
transcript.pyannote[3126].end 23359.13159375
transcript.pyannote[3127].speaker SPEAKER_22
transcript.pyannote[3127].start 23359.58721875
transcript.pyannote[3127].end 23362.28721875
transcript.pyannote[3128].speaker SPEAKER_22
transcript.pyannote[3128].start 23362.97909375
transcript.pyannote[3128].end 23364.29534375
transcript.pyannote[3129].speaker SPEAKER_22
transcript.pyannote[3129].start 23364.88596875
transcript.pyannote[3129].end 23365.81409375
transcript.pyannote[3130].speaker SPEAKER_22
transcript.pyannote[3130].start 23366.40471875
transcript.pyannote[3130].end 23368.32846875
transcript.pyannote[3131].speaker SPEAKER_22
transcript.pyannote[3131].start 23368.76721875
transcript.pyannote[3131].end 23369.86409375
transcript.pyannote[3132].speaker SPEAKER_22
transcript.pyannote[3132].start 23370.57284375
transcript.pyannote[3132].end 23372.46284375
transcript.pyannote[3133].speaker SPEAKER_22
transcript.pyannote[3133].start 23373.10409375
transcript.pyannote[3133].end 23377.03596875
transcript.pyannote[3134].speaker SPEAKER_02
transcript.pyannote[3134].start 23377.03596875
transcript.pyannote[3134].end 23377.27221875
transcript.pyannote[3135].speaker SPEAKER_22
transcript.pyannote[3135].start 23377.27221875
transcript.pyannote[3135].end 23377.33971875
transcript.pyannote[3136].speaker SPEAKER_02
transcript.pyannote[3136].start 23377.33971875
transcript.pyannote[3136].end 23377.39034375
transcript.pyannote[3137].speaker SPEAKER_22
transcript.pyannote[3137].start 23377.39034375
transcript.pyannote[3137].end 23377.59284375
transcript.pyannote[3138].speaker SPEAKER_02
transcript.pyannote[3138].start 23377.59284375
transcript.pyannote[3138].end 23411.46096875
transcript.pyannote[3139].speaker SPEAKER_17
transcript.pyannote[3139].start 23381.01846875
transcript.pyannote[3139].end 23381.03534375
transcript.pyannote[3140].speaker SPEAKER_00
transcript.pyannote[3140].start 23385.15284375
transcript.pyannote[3140].end 23385.43971875
transcript.pyannote[3141].speaker SPEAKER_00
transcript.pyannote[3141].start 23389.06784375
transcript.pyannote[3141].end 23389.59096875
transcript.pyannote[3142].speaker SPEAKER_00
transcript.pyannote[3142].start 23391.02534375
transcript.pyannote[3142].end 23391.31221875
transcript.pyannote[3143].speaker SPEAKER_22
transcript.pyannote[3143].start 23409.36846875
transcript.pyannote[3143].end 23419.34159375
transcript.pyannote[3144].speaker SPEAKER_22
transcript.pyannote[3144].start 23419.66221875
transcript.pyannote[3144].end 23423.20596875
transcript.pyannote[3145].speaker SPEAKER_22
transcript.pyannote[3145].start 23423.34096875
transcript.pyannote[3145].end 23426.74971875
transcript.pyannote[3146].speaker SPEAKER_22
transcript.pyannote[3146].start 23427.00284375
transcript.pyannote[3146].end 23428.31909375
transcript.pyannote[3147].speaker SPEAKER_22
transcript.pyannote[3147].start 23428.40346875
transcript.pyannote[3147].end 23431.08659375
transcript.pyannote[3148].speaker SPEAKER_22
transcript.pyannote[3148].start 23431.18784375
transcript.pyannote[3148].end 23434.03971875
transcript.pyannote[3149].speaker SPEAKER_22
transcript.pyannote[3149].start 23434.15784375
transcript.pyannote[3149].end 23434.17471875
transcript.pyannote[3150].speaker SPEAKER_17
transcript.pyannote[3150].start 23434.17471875
transcript.pyannote[3150].end 23434.20846875
transcript.pyannote[3151].speaker SPEAKER_22
transcript.pyannote[3151].start 23434.20846875
transcript.pyannote[3151].end 23434.25909375
transcript.pyannote[3152].speaker SPEAKER_17
transcript.pyannote[3152].start 23434.24221875
transcript.pyannote[3152].end 23434.56284375
transcript.pyannote[3153].speaker SPEAKER_22
transcript.pyannote[3153].start 23434.29284375
transcript.pyannote[3153].end 23434.68096875
transcript.pyannote[3154].speaker SPEAKER_22
transcript.pyannote[3154].start 23435.06909375
transcript.pyannote[3154].end 23438.12346875
transcript.pyannote[3155].speaker SPEAKER_22
transcript.pyannote[3155].start 23438.32596875
transcript.pyannote[3155].end 23439.25409375
transcript.pyannote[3156].speaker SPEAKER_22
transcript.pyannote[3156].start 23439.42284375
transcript.pyannote[3156].end 23441.54909375
transcript.pyannote[3157].speaker SPEAKER_22
transcript.pyannote[3157].start 23441.97096875
transcript.pyannote[3157].end 23443.32096875
transcript.pyannote[3158].speaker SPEAKER_22
transcript.pyannote[3158].start 23443.84409375
transcript.pyannote[3158].end 23445.32909375
transcript.pyannote[3159].speaker SPEAKER_22
transcript.pyannote[3159].start 23445.81846875
transcript.pyannote[3159].end 23446.61159375
transcript.pyannote[3160].speaker SPEAKER_22
transcript.pyannote[3160].start 23446.86471875
transcript.pyannote[3160].end 23448.36659375
transcript.pyannote[3161].speaker SPEAKER_22
transcript.pyannote[3161].start 23448.70409375
transcript.pyannote[3161].end 23454.86346875
transcript.pyannote[3162].speaker SPEAKER_22
transcript.pyannote[3162].start 23455.31909375
transcript.pyannote[3162].end 23456.44971875
transcript.pyannote[3163].speaker SPEAKER_22
transcript.pyannote[3163].start 23457.04034375
transcript.pyannote[3163].end 23458.77846875
transcript.pyannote[3164].speaker SPEAKER_22
transcript.pyannote[3164].start 23459.11596875
transcript.pyannote[3164].end 23461.20846875
transcript.pyannote[3165].speaker SPEAKER_22
transcript.pyannote[3165].start 23461.54596875
transcript.pyannote[3165].end 23462.54159375
transcript.pyannote[3166].speaker SPEAKER_22
transcript.pyannote[3166].start 23462.92971875
transcript.pyannote[3166].end 23464.73534375
transcript.pyannote[3167].speaker SPEAKER_22
transcript.pyannote[3167].start 23465.03909375
transcript.pyannote[3167].end 23467.11471875
transcript.pyannote[3168].speaker SPEAKER_22
transcript.pyannote[3168].start 23467.65471875
transcript.pyannote[3168].end 23469.12284375
transcript.pyannote[3169].speaker SPEAKER_22
transcript.pyannote[3169].start 23469.27471875
transcript.pyannote[3169].end 23471.04659375
transcript.pyannote[3170].speaker SPEAKER_22
transcript.pyannote[3170].start 23471.23221875
transcript.pyannote[3170].end 23474.21909375
transcript.pyannote[3171].speaker SPEAKER_22
transcript.pyannote[3171].start 23474.37096875
transcript.pyannote[3171].end 23476.15971875
transcript.pyannote[3172].speaker SPEAKER_22
transcript.pyannote[3172].start 23476.56471875
transcript.pyannote[3172].end 23477.74596875
transcript.pyannote[3173].speaker SPEAKER_22
transcript.pyannote[3173].start 23478.01596875
transcript.pyannote[3173].end 23480.39534375
transcript.pyannote[3174].speaker SPEAKER_22
transcript.pyannote[3174].start 23480.86784375
transcript.pyannote[3174].end 23483.12909375
transcript.pyannote[3175].speaker SPEAKER_22
transcript.pyannote[3175].start 23483.28096875
transcript.pyannote[3175].end 23484.20909375
transcript.pyannote[3176].speaker SPEAKER_22
transcript.pyannote[3176].start 23484.63096875
transcript.pyannote[3176].end 23486.04846875
transcript.pyannote[3177].speaker SPEAKER_22
transcript.pyannote[3177].start 23486.35221875
transcript.pyannote[3177].end 23488.84971875
transcript.pyannote[3178].speaker SPEAKER_22
transcript.pyannote[3178].start 23489.10284375
transcript.pyannote[3178].end 23490.52034375
transcript.pyannote[3179].speaker SPEAKER_22
transcript.pyannote[3179].start 23491.00971875
transcript.pyannote[3179].end 23491.56659375
transcript.pyannote[3180].speaker SPEAKER_19
transcript.pyannote[3180].start 23491.97159375
transcript.pyannote[3180].end 23494.03034375
transcript.pyannote[3181].speaker SPEAKER_12
transcript.pyannote[3181].start 23494.03034375
transcript.pyannote[3181].end 23494.31721875
transcript.pyannote[3182].speaker SPEAKER_19
transcript.pyannote[3182].start 23494.31721875
transcript.pyannote[3182].end 23494.33409375
transcript.pyannote[3183].speaker SPEAKER_12
transcript.pyannote[3183].start 23495.04284375
transcript.pyannote[3183].end 23498.82284375
transcript.pyannote[3184].speaker SPEAKER_12
transcript.pyannote[3184].start 23500.45971875
transcript.pyannote[3184].end 23507.88471875
transcript.pyannote[3185].speaker SPEAKER_12
transcript.pyannote[3185].start 23511.49596875
transcript.pyannote[3185].end 23515.73159375
transcript.pyannote[3186].speaker SPEAKER_24
transcript.pyannote[3186].start 23528.10096875
transcript.pyannote[3186].end 23528.62409375
transcript.pyannote[3187].speaker SPEAKER_24
transcript.pyannote[3187].start 23531.02034375
transcript.pyannote[3187].end 23533.55159375
transcript.pyannote[3188].speaker SPEAKER_12
transcript.pyannote[3188].start 23533.97346875
transcript.pyannote[3188].end 23535.61034375
transcript.pyannote[3189].speaker SPEAKER_19
transcript.pyannote[3189].start 23543.69346875
transcript.pyannote[3189].end 23544.43596875
transcript.pyannote[3190].speaker SPEAKER_24
transcript.pyannote[3190].start 23544.63846875
transcript.pyannote[3190].end 23560.18034375
transcript.pyannote[3191].speaker SPEAKER_24
transcript.pyannote[3191].start 23560.88909375
transcript.pyannote[3191].end 23562.55971875
transcript.pyannote[3192].speaker SPEAKER_24
transcript.pyannote[3192].start 23562.94784375
transcript.pyannote[3192].end 23575.28346875
transcript.pyannote[3193].speaker SPEAKER_19
transcript.pyannote[3193].start 23576.41409375
transcript.pyannote[3193].end 23577.02159375
transcript.pyannote[3194].speaker SPEAKER_19
transcript.pyannote[3194].start 23577.79784375
transcript.pyannote[3194].end 23578.97909375
transcript.pyannote[3195].speaker SPEAKER_19
transcript.pyannote[3195].start 23579.24909375
transcript.pyannote[3195].end 23580.86909375
transcript.pyannote[3196].speaker SPEAKER_19
transcript.pyannote[3196].start 23581.32471875
transcript.pyannote[3196].end 23583.21471875
transcript.pyannote[3197].speaker SPEAKER_19
transcript.pyannote[3197].start 23583.63659375
transcript.pyannote[3197].end 23584.71659375
transcript.pyannote[3198].speaker SPEAKER_19
transcript.pyannote[3198].start 23585.34096875
transcript.pyannote[3198].end 23587.38284375
transcript.pyannote[3199].speaker SPEAKER_19
transcript.pyannote[3199].start 23587.82159375
transcript.pyannote[3199].end 23588.47971875
transcript.pyannote[3200].speaker SPEAKER_19
transcript.pyannote[3200].start 23588.80034375
transcript.pyannote[3200].end 23590.40346875
transcript.pyannote[3201].speaker SPEAKER_19
transcript.pyannote[3201].start 23590.65659375
transcript.pyannote[3201].end 23591.93909375
transcript.pyannote[3202].speaker SPEAKER_19
transcript.pyannote[3202].start 23592.47909375
transcript.pyannote[3202].end 23594.65596875
transcript.pyannote[3203].speaker SPEAKER_19
transcript.pyannote[3203].start 23595.14534375
transcript.pyannote[3203].end 23596.12409375
transcript.pyannote[3204].speaker SPEAKER_19
transcript.pyannote[3204].start 23596.34346875
transcript.pyannote[3204].end 23598.25034375
transcript.pyannote[3205].speaker SPEAKER_19
transcript.pyannote[3205].start 23598.60471875
transcript.pyannote[3205].end 23599.14471875
transcript.pyannote[3206].speaker SPEAKER_19
transcript.pyannote[3206].start 23599.29659375
transcript.pyannote[3206].end 23600.78159375
transcript.pyannote[3207].speaker SPEAKER_19
transcript.pyannote[3207].start 23601.45659375
transcript.pyannote[3207].end 23601.92909375
transcript.pyannote[3208].speaker SPEAKER_19
transcript.pyannote[3208].start 23602.65471875
transcript.pyannote[3208].end 23606.06346875
transcript.pyannote[3209].speaker SPEAKER_19
transcript.pyannote[3209].start 23606.56971875
transcript.pyannote[3209].end 23607.48096875
transcript.pyannote[3210].speaker SPEAKER_19
transcript.pyannote[3210].start 23608.17284375
transcript.pyannote[3210].end 23610.94034375
transcript.pyannote[3211].speaker SPEAKER_19
transcript.pyannote[3211].start 23611.53096875
transcript.pyannote[3211].end 23611.85159375
transcript.pyannote[3212].speaker SPEAKER_19
transcript.pyannote[3212].start 23612.54346875
transcript.pyannote[3212].end 23614.26471875
transcript.pyannote[3213].speaker SPEAKER_19
transcript.pyannote[3213].start 23614.50096875
transcript.pyannote[3213].end 23615.51346875
transcript.pyannote[3214].speaker SPEAKER_19
transcript.pyannote[3214].start 23615.88471875
transcript.pyannote[3214].end 23617.77471875
transcript.pyannote[3215].speaker SPEAKER_19
transcript.pyannote[3215].start 23618.31471875
transcript.pyannote[3215].end 23619.95159375
transcript.pyannote[3216].speaker SPEAKER_19
transcript.pyannote[3216].start 23620.03596875
transcript.pyannote[3216].end 23621.14971875
transcript.pyannote[3217].speaker SPEAKER_19
transcript.pyannote[3217].start 23621.43659375
transcript.pyannote[3217].end 23623.91721875
transcript.pyannote[3218].speaker SPEAKER_24
transcript.pyannote[3218].start 23624.28846875
transcript.pyannote[3218].end 23649.95534375
transcript.pyannote[3219].speaker SPEAKER_19
transcript.pyannote[3219].start 23629.19909375
transcript.pyannote[3219].end 23629.92471875
transcript.pyannote[3220].speaker SPEAKER_24
transcript.pyannote[3220].start 23650.19159375
transcript.pyannote[3220].end 23684.16096875
transcript.pyannote[3221].speaker SPEAKER_24
transcript.pyannote[3221].start 23684.71784375
transcript.pyannote[3221].end 23686.21971875
transcript.pyannote[3222].speaker SPEAKER_19
transcript.pyannote[3222].start 23686.13534375
transcript.pyannote[3222].end 23691.63659375
transcript.pyannote[3223].speaker SPEAKER_24
transcript.pyannote[3223].start 23691.19784375
transcript.pyannote[3223].end 23695.45034375
transcript.pyannote[3224].speaker SPEAKER_19
transcript.pyannote[3224].start 23693.08784375
transcript.pyannote[3224].end 23698.25159375
transcript.pyannote[3225].speaker SPEAKER_19
transcript.pyannote[3225].start 23698.48784375
transcript.pyannote[3225].end 23700.14159375
transcript.pyannote[3226].speaker SPEAKER_19
transcript.pyannote[3226].start 23700.49596875
transcript.pyannote[3226].end 23701.06971875
transcript.pyannote[3227].speaker SPEAKER_19
transcript.pyannote[3227].start 23701.50846875
transcript.pyannote[3227].end 23709.23721875
transcript.pyannote[3228].speaker SPEAKER_24
transcript.pyannote[3228].start 23707.88721875
transcript.pyannote[3228].end 23721.91034375
transcript.pyannote[3229].speaker SPEAKER_24
transcript.pyannote[3229].start 23722.16346875
transcript.pyannote[3229].end 23728.89659375
transcript.pyannote[3230].speaker SPEAKER_17
transcript.pyannote[3230].start 23722.19721875
transcript.pyannote[3230].end 23722.29846875
transcript.pyannote[3231].speaker SPEAKER_04
transcript.pyannote[3231].start 23722.29846875
transcript.pyannote[3231].end 23722.97346875
transcript.pyannote[3232].speaker SPEAKER_17
transcript.pyannote[3232].start 23722.97346875
transcript.pyannote[3232].end 23723.19284375
transcript.pyannote[3233].speaker SPEAKER_17
transcript.pyannote[3233].start 23726.82096875
transcript.pyannote[3233].end 23726.85471875
transcript.pyannote[3234].speaker SPEAKER_02
transcript.pyannote[3234].start 23726.85471875
transcript.pyannote[3234].end 23727.69846875
transcript.pyannote[3235].speaker SPEAKER_24
transcript.pyannote[3235].start 23729.20034375
transcript.pyannote[3235].end 23730.95534375
transcript.pyannote[3236].speaker SPEAKER_02
transcript.pyannote[3236].start 23729.55471875
transcript.pyannote[3236].end 23730.87096875
transcript.pyannote[3237].speaker SPEAKER_02
transcript.pyannote[3237].start 23730.95534375
transcript.pyannote[3237].end 23731.69784375
transcript.pyannote[3238].speaker SPEAKER_02
transcript.pyannote[3238].start 23731.71471875
transcript.pyannote[3238].end 23736.92909375
transcript.pyannote[3239].speaker SPEAKER_02
transcript.pyannote[3239].start 23737.09784375
transcript.pyannote[3239].end 23767.32096875
transcript.pyannote[3240].speaker SPEAKER_24
transcript.pyannote[3240].start 23746.34534375
transcript.pyannote[3240].end 23746.78409375
transcript.pyannote[3241].speaker SPEAKER_24
transcript.pyannote[3241].start 23747.39159375
transcript.pyannote[3241].end 23748.30284375
transcript.pyannote[3242].speaker SPEAKER_24
transcript.pyannote[3242].start 23762.96721875
transcript.pyannote[3242].end 23797.37534375
transcript.pyannote[3243].speaker SPEAKER_02
transcript.pyannote[3243].start 23768.33346875
transcript.pyannote[3243].end 23770.10534375
transcript.pyannote[3244].speaker SPEAKER_00
transcript.pyannote[3244].start 23771.35409375
transcript.pyannote[3244].end 23771.38784375
transcript.pyannote[3245].speaker SPEAKER_02
transcript.pyannote[3245].start 23771.38784375
transcript.pyannote[3245].end 23771.97846875
transcript.pyannote[3246].speaker SPEAKER_00
transcript.pyannote[3246].start 23771.97846875
transcript.pyannote[3246].end 23772.87284375
transcript.pyannote[3247].speaker SPEAKER_00
transcript.pyannote[3247].start 23777.98596875
transcript.pyannote[3247].end 23778.28971875
transcript.pyannote[3248].speaker SPEAKER_00
transcript.pyannote[3248].start 23779.62284375
transcript.pyannote[3248].end 23780.98971875
transcript.pyannote[3249].speaker SPEAKER_00
transcript.pyannote[3249].start 23789.49471875
transcript.pyannote[3249].end 23791.48596875
transcript.pyannote[3250].speaker SPEAKER_02
transcript.pyannote[3250].start 23796.44721875
transcript.pyannote[3250].end 23796.51471875
transcript.pyannote[3251].speaker SPEAKER_02
transcript.pyannote[3251].start 23796.80159375
transcript.pyannote[3251].end 23797.18971875
transcript.pyannote[3252].speaker SPEAKER_02
transcript.pyannote[3252].start 23797.37534375
transcript.pyannote[3252].end 23802.03284375
transcript.pyannote[3253].speaker SPEAKER_02
transcript.pyannote[3253].start 23802.11721875
transcript.pyannote[3253].end 23812.96784375
transcript.pyannote[3254].speaker SPEAKER_24
transcript.pyannote[3254].start 23808.76596875
transcript.pyannote[3254].end 23810.14971875
transcript.pyannote[3255].speaker SPEAKER_24
transcript.pyannote[3255].start 23812.96784375
transcript.pyannote[3255].end 23815.90409375
transcript.pyannote[3256].speaker SPEAKER_24
transcript.pyannote[3256].start 23816.95034375
transcript.pyannote[3256].end 23826.72096875
transcript.pyannote[3257].speaker SPEAKER_02
transcript.pyannote[3257].start 23819.07659375
transcript.pyannote[3257].end 23821.05096875
transcript.pyannote[3258].speaker SPEAKER_02
transcript.pyannote[3258].start 23826.23159375
transcript.pyannote[3258].end 23841.95909375
transcript.pyannote[3259].speaker SPEAKER_24
transcript.pyannote[3259].start 23840.11971875
transcript.pyannote[3259].end 23874.61221875
transcript.pyannote[3260].speaker SPEAKER_02
transcript.pyannote[3260].start 23844.10221875
transcript.pyannote[3260].end 23846.53221875
transcript.pyannote[3261].speaker SPEAKER_02
transcript.pyannote[3261].start 23851.76346875
transcript.pyannote[3261].end 23851.86471875
transcript.pyannote[3262].speaker SPEAKER_20
transcript.pyannote[3262].start 23851.86471875
transcript.pyannote[3262].end 23852.97846875
transcript.pyannote[3263].speaker SPEAKER_02
transcript.pyannote[3263].start 23852.97846875
transcript.pyannote[3263].end 23853.24846875
transcript.pyannote[3264].speaker SPEAKER_04
transcript.pyannote[3264].start 23873.59971875
transcript.pyannote[3264].end 23877.16034375
transcript.pyannote[3265].speaker SPEAKER_24
transcript.pyannote[3265].start 23874.84846875
transcript.pyannote[3265].end 23896.00971875
transcript.pyannote[3266].speaker SPEAKER_24
transcript.pyannote[3266].start 23896.93784375
transcript.pyannote[3266].end 23898.67596875
transcript.pyannote[3267].speaker SPEAKER_24
transcript.pyannote[3267].start 23899.16534375
transcript.pyannote[3267].end 23903.87346875
transcript.pyannote[3268].speaker SPEAKER_00
transcript.pyannote[3268].start 23900.88659375
transcript.pyannote[3268].end 23901.71346875
transcript.pyannote[3269].speaker SPEAKER_24
transcript.pyannote[3269].start 23904.36284375
transcript.pyannote[3269].end 23921.62596875
transcript.pyannote[3270].speaker SPEAKER_24
transcript.pyannote[3270].start 23922.63846875
transcript.pyannote[3270].end 23938.72034375
transcript.pyannote[3271].speaker SPEAKER_02
transcript.pyannote[3271].start 23933.82659375
transcript.pyannote[3271].end 23936.47596875
transcript.pyannote[3272].speaker SPEAKER_02
transcript.pyannote[3272].start 23938.93971875
transcript.pyannote[3272].end 23966.58096875
transcript.pyannote[3273].speaker SPEAKER_24
transcript.pyannote[3273].start 23963.93159375
transcript.pyannote[3273].end 23972.13284375
transcript.pyannote[3274].speaker SPEAKER_24
transcript.pyannote[3274].start 23972.70659375
transcript.pyannote[3274].end 24024.56346875
transcript.pyannote[3275].speaker SPEAKER_02
transcript.pyannote[3275].start 24023.11221875
transcript.pyannote[3275].end 24030.52034375
transcript.pyannote[3276].speaker SPEAKER_02
transcript.pyannote[3276].start 24030.73971875
transcript.pyannote[3276].end 24034.75596875
transcript.pyannote[3277].speaker SPEAKER_02
transcript.pyannote[3277].start 24034.94159375
transcript.pyannote[3277].end 24041.37096875
transcript.pyannote[3278].speaker SPEAKER_24
transcript.pyannote[3278].start 24038.63721875
transcript.pyannote[3278].end 24078.69846875
transcript.pyannote[3279].speaker SPEAKER_00
transcript.pyannote[3279].start 24053.67284375
transcript.pyannote[3279].end 24053.68971875
transcript.pyannote[3280].speaker SPEAKER_04
transcript.pyannote[3280].start 24053.68971875
transcript.pyannote[3280].end 24055.88346875
transcript.pyannote[3281].speaker SPEAKER_17
transcript.pyannote[3281].start 24055.88346875
transcript.pyannote[3281].end 24056.22096875
transcript.pyannote[3282].speaker SPEAKER_00
transcript.pyannote[3282].start 24063.30846875
transcript.pyannote[3282].end 24064.32096875
transcript.pyannote[3283].speaker SPEAKER_00
transcript.pyannote[3283].start 24073.55159375
transcript.pyannote[3283].end 24073.95659375
transcript.pyannote[3284].speaker SPEAKER_04
transcript.pyannote[3284].start 24073.95659375
transcript.pyannote[3284].end 24076.62284375
transcript.pyannote[3285].speaker SPEAKER_24
transcript.pyannote[3285].start 24079.08659375
transcript.pyannote[3285].end 24087.60846875
transcript.pyannote[3286].speaker SPEAKER_24
transcript.pyannote[3286].start 24088.01346875
transcript.pyannote[3286].end 24112.83659375
transcript.pyannote[3287].speaker SPEAKER_24
transcript.pyannote[3287].start 24113.37659375
transcript.pyannote[3287].end 24135.02721875
transcript.pyannote[3288].speaker SPEAKER_00
transcript.pyannote[3288].start 24115.89096875
transcript.pyannote[3288].end 24119.18159375
transcript.pyannote[3289].speaker SPEAKER_02
transcript.pyannote[3289].start 24135.02721875
transcript.pyannote[3289].end 24144.93284375
transcript.pyannote[3290].speaker SPEAKER_24
transcript.pyannote[3290].start 24141.84471875
transcript.pyannote[3290].end 24174.53159375
transcript.pyannote[3291].speaker SPEAKER_24
transcript.pyannote[3291].start 24175.35846875
transcript.pyannote[3291].end 24186.81659375
transcript.pyannote[3292].speaker SPEAKER_02
transcript.pyannote[3292].start 24182.51346875
transcript.pyannote[3292].end 24188.79096875
transcript.pyannote[3293].speaker SPEAKER_24
transcript.pyannote[3293].start 24187.06971875
transcript.pyannote[3293].end 24188.68971875
transcript.pyannote[3294].speaker SPEAKER_24
transcript.pyannote[3294].start 24188.79096875
transcript.pyannote[3294].end 24232.27784375
transcript.pyannote[3295].speaker SPEAKER_02
transcript.pyannote[3295].start 24188.85846875
transcript.pyannote[3295].end 24190.81596875
transcript.pyannote[3296].speaker SPEAKER_17
transcript.pyannote[3296].start 24196.51971875
transcript.pyannote[3296].end 24196.53659375
transcript.pyannote[3297].speaker SPEAKER_22
transcript.pyannote[3297].start 24196.53659375
transcript.pyannote[3297].end 24199.65846875
transcript.pyannote[3298].speaker SPEAKER_00
transcript.pyannote[3298].start 24199.65846875
transcript.pyannote[3298].end 24199.97909375
transcript.pyannote[3299].speaker SPEAKER_00
transcript.pyannote[3299].start 24201.34596875
transcript.pyannote[3299].end 24201.46409375
transcript.pyannote[3300].speaker SPEAKER_22
transcript.pyannote[3300].start 24201.46409375
transcript.pyannote[3300].end 24202.57784375
transcript.pyannote[3301].speaker SPEAKER_19
transcript.pyannote[3301].start 24230.57346875
transcript.pyannote[3301].end 24240.05721875
transcript.pyannote[3302].speaker SPEAKER_19
transcript.pyannote[3302].start 24240.51284375
transcript.pyannote[3302].end 24242.09909375
transcript.pyannote[3303].speaker SPEAKER_19
transcript.pyannote[3303].start 24242.31846875
transcript.pyannote[3303].end 24247.68471875
transcript.pyannote[3304].speaker SPEAKER_19
transcript.pyannote[3304].start 24247.88721875
transcript.pyannote[3304].end 24249.33846875
transcript.pyannote[3305].speaker SPEAKER_19
transcript.pyannote[3305].start 24249.60846875
transcript.pyannote[3305].end 24251.31284375
transcript.pyannote[3306].speaker SPEAKER_19
transcript.pyannote[3306].start 24251.43096875
transcript.pyannote[3306].end 24252.62909375
transcript.pyannote[3307].speaker SPEAKER_19
transcript.pyannote[3307].start 24253.06784375
transcript.pyannote[3307].end 24254.58659375
transcript.pyannote[3308].speaker SPEAKER_19
transcript.pyannote[3308].start 24254.80596875
transcript.pyannote[3308].end 24257.20221875
transcript.pyannote[3309].speaker SPEAKER_19
transcript.pyannote[3309].start 24257.38784375
transcript.pyannote[3309].end 24262.26471875
transcript.pyannote[3310].speaker SPEAKER_24
transcript.pyannote[3310].start 24260.40846875
transcript.pyannote[3310].end 24261.55596875
transcript.pyannote[3311].speaker SPEAKER_24
transcript.pyannote[3311].start 24261.75846875
transcript.pyannote[3311].end 24326.98034375
transcript.pyannote[3312].speaker SPEAKER_19
transcript.pyannote[3312].start 24264.40784375
transcript.pyannote[3312].end 24264.81284375
transcript.pyannote[3313].speaker SPEAKER_00
transcript.pyannote[3313].start 24270.58409375
transcript.pyannote[3313].end 24270.61784375
transcript.pyannote[3314].speaker SPEAKER_17
transcript.pyannote[3314].start 24270.61784375
transcript.pyannote[3314].end 24270.97221875
transcript.pyannote[3315].speaker SPEAKER_00
transcript.pyannote[3315].start 24270.97221875
transcript.pyannote[3315].end 24272.03534375
transcript.pyannote[3316].speaker SPEAKER_17
transcript.pyannote[3316].start 24272.03534375
transcript.pyannote[3316].end 24273.06471875
transcript.pyannote[3317].speaker SPEAKER_20
transcript.pyannote[3317].start 24297.60096875
transcript.pyannote[3317].end 24297.61784375
transcript.pyannote[3318].speaker SPEAKER_19
transcript.pyannote[3318].start 24297.61784375
transcript.pyannote[3318].end 24300.36846875
transcript.pyannote[3319].speaker SPEAKER_20
transcript.pyannote[3319].start 24300.36846875
transcript.pyannote[3319].end 24300.55409375
transcript.pyannote[3320].speaker SPEAKER_24
transcript.pyannote[3320].start 24328.19534375
transcript.pyannote[3320].end 24353.91284375
transcript.pyannote[3321].speaker SPEAKER_24
transcript.pyannote[3321].start 24354.52034375
transcript.pyannote[3321].end 24393.56909375
transcript.pyannote[3322].speaker SPEAKER_19
transcript.pyannote[3322].start 24395.15534375
transcript.pyannote[3322].end 24402.17534375
transcript.pyannote[3323].speaker SPEAKER_24
transcript.pyannote[3323].start 24395.17221875
transcript.pyannote[3323].end 24395.71221875
transcript.pyannote[3324].speaker SPEAKER_19
transcript.pyannote[3324].start 24402.29346875
transcript.pyannote[3324].end 24403.71096875
transcript.pyannote[3325].speaker SPEAKER_19
transcript.pyannote[3325].start 24404.20034375
transcript.pyannote[3325].end 24409.78596875
transcript.pyannote[3326].speaker SPEAKER_24
transcript.pyannote[3326].start 24410.02221875
transcript.pyannote[3326].end 24448.34534375
transcript.pyannote[3327].speaker SPEAKER_17
transcript.pyannote[3327].start 24447.43409375
transcript.pyannote[3327].end 24448.31159375
transcript.pyannote[3328].speaker SPEAKER_17
transcript.pyannote[3328].start 24448.34534375
transcript.pyannote[3328].end 24448.36221875
transcript.pyannote[3329].speaker SPEAKER_12
transcript.pyannote[3329].start 24453.72846875
transcript.pyannote[3329].end 24458.04846875
transcript.pyannote[3330].speaker SPEAKER_12
transcript.pyannote[3330].start 24458.62221875
transcript.pyannote[3330].end 24462.65534375
transcript.pyannote[3331].speaker SPEAKER_05
transcript.pyannote[3331].start 24466.94159375
transcript.pyannote[3331].end 24468.91596875
transcript.pyannote[3332].speaker SPEAKER_12
transcript.pyannote[3332].start 24469.10159375
transcript.pyannote[3332].end 24470.68784375
transcript.pyannote[3333].speaker SPEAKER_19
transcript.pyannote[3333].start 24479.69909375
transcript.pyannote[3333].end 24480.42471875
transcript.pyannote[3334].speaker SPEAKER_05
transcript.pyannote[3334].start 24480.42471875
transcript.pyannote[3334].end 24520.95846875
transcript.pyannote[3335].speaker SPEAKER_19
transcript.pyannote[3335].start 24521.65034375
transcript.pyannote[3335].end 24522.07221875
transcript.pyannote[3336].speaker SPEAKER_19
transcript.pyannote[3336].start 24522.46034375
transcript.pyannote[3336].end 24524.85659375
transcript.pyannote[3337].speaker SPEAKER_19
transcript.pyannote[3337].start 24525.21096875
transcript.pyannote[3337].end 24529.71659375
transcript.pyannote[3338].speaker SPEAKER_19
transcript.pyannote[3338].start 24529.86846875
transcript.pyannote[3338].end 24532.80471875
transcript.pyannote[3339].speaker SPEAKER_19
transcript.pyannote[3339].start 24532.90596875
transcript.pyannote[3339].end 24533.69909375
transcript.pyannote[3340].speaker SPEAKER_19
transcript.pyannote[3340].start 24534.08721875
transcript.pyannote[3340].end 24537.36096875
transcript.pyannote[3341].speaker SPEAKER_19
transcript.pyannote[3341].start 24537.74909375
transcript.pyannote[3341].end 24547.30034375
transcript.pyannote[3342].speaker SPEAKER_05
transcript.pyannote[3342].start 24540.17909375
transcript.pyannote[3342].end 24540.39846875
transcript.pyannote[3343].speaker SPEAKER_05
transcript.pyannote[3343].start 24545.27534375
transcript.pyannote[3343].end 24549.35909375
transcript.pyannote[3344].speaker SPEAKER_19
transcript.pyannote[3344].start 24548.09346875
transcript.pyannote[3344].end 24553.86471875
transcript.pyannote[3345].speaker SPEAKER_05
transcript.pyannote[3345].start 24553.15596875
transcript.pyannote[3345].end 24553.66221875
transcript.pyannote[3346].speaker SPEAKER_05
transcript.pyannote[3346].start 24553.72971875
transcript.pyannote[3346].end 24583.66596875
transcript.pyannote[3347].speaker SPEAKER_05
transcript.pyannote[3347].start 24583.85159375
transcript.pyannote[3347].end 24695.71596875
transcript.pyannote[3348].speaker SPEAKER_05
transcript.pyannote[3348].start 24696.79596875
transcript.pyannote[3348].end 24730.36034375
transcript.pyannote[3349].speaker SPEAKER_05
transcript.pyannote[3349].start 24730.46159375
transcript.pyannote[3349].end 24769.25721875
transcript.pyannote[3350].speaker SPEAKER_05
transcript.pyannote[3350].start 24769.62846875
transcript.pyannote[3350].end 24777.01971875
transcript.pyannote[3351].speaker SPEAKER_05
transcript.pyannote[3351].start 24777.42471875
transcript.pyannote[3351].end 24785.94659375
transcript.pyannote[3352].speaker SPEAKER_05
transcript.pyannote[3352].start 24786.18284375
transcript.pyannote[3352].end 24795.75096875
transcript.pyannote[3353].speaker SPEAKER_05
transcript.pyannote[3353].start 24796.71284375
transcript.pyannote[3353].end 24855.47159375
transcript.pyannote[3354].speaker SPEAKER_05
transcript.pyannote[3354].start 24855.62346875
transcript.pyannote[3354].end 24861.58034375
transcript.pyannote[3355].speaker SPEAKER_05
transcript.pyannote[3355].start 24861.68159375
transcript.pyannote[3355].end 24875.51909375
transcript.pyannote[3356].speaker SPEAKER_05
transcript.pyannote[3356].start 24876.36284375
transcript.pyannote[3356].end 24893.89596875
transcript.pyannote[3357].speaker SPEAKER_05
transcript.pyannote[3357].start 24894.28409375
transcript.pyannote[3357].end 24897.22034375
transcript.pyannote[3358].speaker SPEAKER_05
transcript.pyannote[3358].start 24897.49034375
transcript.pyannote[3358].end 24899.59971875
transcript.pyannote[3359].speaker SPEAKER_05
transcript.pyannote[3359].start 24899.65034375
transcript.pyannote[3359].end 24941.14596875
transcript.pyannote[3360].speaker SPEAKER_05
transcript.pyannote[3360].start 24941.53409375
transcript.pyannote[3360].end 24953.92034375
transcript.pyannote[3361].speaker SPEAKER_05
transcript.pyannote[3361].start 24954.12284375
transcript.pyannote[3361].end 24963.31971875
transcript.pyannote[3362].speaker SPEAKER_05
transcript.pyannote[3362].start 24963.80909375
transcript.pyannote[3362].end 24986.52284375
transcript.pyannote[3363].speaker SPEAKER_05
transcript.pyannote[3363].start 24986.77596875
transcript.pyannote[3363].end 24987.41721875
transcript.pyannote[3364].speaker SPEAKER_05
transcript.pyannote[3364].start 24987.80534375
transcript.pyannote[3364].end 24992.37846875
transcript.pyannote[3365].speaker SPEAKER_05
transcript.pyannote[3365].start 24992.76659375
transcript.pyannote[3365].end 24997.10346875
transcript.pyannote[3366].speaker SPEAKER_05
transcript.pyannote[3366].start 24997.17096875
transcript.pyannote[3366].end 25008.07221875
transcript.pyannote[3367].speaker SPEAKER_05
transcript.pyannote[3367].start 25008.81471875
transcript.pyannote[3367].end 25013.59034375
transcript.pyannote[3368].speaker SPEAKER_05
transcript.pyannote[3368].start 25013.84346875
transcript.pyannote[3368].end 25020.79596875
transcript.pyannote[3369].speaker SPEAKER_05
transcript.pyannote[3369].start 25021.25159375
transcript.pyannote[3369].end 25036.40534375
transcript.pyannote[3370].speaker SPEAKER_05
transcript.pyannote[3370].start 25036.87784375
transcript.pyannote[3370].end 25037.55284375
transcript.pyannote[3371].speaker SPEAKER_05
transcript.pyannote[3371].start 25037.73846875
transcript.pyannote[3371].end 25047.52596875
transcript.pyannote[3372].speaker SPEAKER_05
transcript.pyannote[3372].start 25047.79596875
transcript.pyannote[3372].end 25058.12346875
transcript.pyannote[3373].speaker SPEAKER_05
transcript.pyannote[3373].start 25058.20784375
transcript.pyannote[3373].end 25063.21971875
transcript.pyannote[3374].speaker SPEAKER_05
transcript.pyannote[3374].start 25063.72596875
transcript.pyannote[3374].end 25064.63721875
transcript.pyannote[3375].speaker SPEAKER_05
transcript.pyannote[3375].start 25065.02534375
transcript.pyannote[3375].end 25068.36659375
transcript.pyannote[3376].speaker SPEAKER_19
transcript.pyannote[3376].start 25068.94034375
transcript.pyannote[3376].end 25069.68284375
transcript.pyannote[3377].speaker SPEAKER_19
transcript.pyannote[3377].start 25070.15534375
transcript.pyannote[3377].end 25070.56034375
transcript.pyannote[3378].speaker SPEAKER_19
transcript.pyannote[3378].start 25070.83034375
transcript.pyannote[3378].end 25072.33221875
transcript.pyannote[3379].speaker SPEAKER_19
transcript.pyannote[3379].start 25072.73721875
transcript.pyannote[3379].end 25073.59784375
transcript.pyannote[3380].speaker SPEAKER_19
transcript.pyannote[3380].start 25074.07034375
transcript.pyannote[3380].end 25075.06596875
transcript.pyannote[3381].speaker SPEAKER_19
transcript.pyannote[3381].start 25075.80846875
transcript.pyannote[3381].end 25077.24284375
transcript.pyannote[3382].speaker SPEAKER_19
transcript.pyannote[3382].start 25077.66471875
transcript.pyannote[3382].end 25084.53284375
transcript.pyannote[3383].speaker SPEAKER_05
transcript.pyannote[3383].start 25079.94284375
transcript.pyannote[3383].end 25081.64721875
transcript.pyannote[3384].speaker SPEAKER_05
transcript.pyannote[3384].start 25083.33471875
transcript.pyannote[3384].end 25086.15284375
transcript.pyannote[3385].speaker SPEAKER_19
transcript.pyannote[3385].start 25085.24159375
transcript.pyannote[3385].end 25089.96659375
transcript.pyannote[3386].speaker SPEAKER_19
transcript.pyannote[3386].start 25090.01721875
transcript.pyannote[3386].end 25092.51471875
transcript.pyannote[3387].speaker SPEAKER_05
transcript.pyannote[3387].start 25092.34596875
transcript.pyannote[3387].end 25094.60721875
transcript.pyannote[3388].speaker SPEAKER_19
transcript.pyannote[3388].start 25093.51034375
transcript.pyannote[3388].end 25097.72909375
transcript.pyannote[3389].speaker SPEAKER_19
transcript.pyannote[3389].start 25097.86409375
transcript.pyannote[3389].end 25101.82971875
transcript.pyannote[3390].speaker SPEAKER_19
transcript.pyannote[3390].start 25101.86346875
transcript.pyannote[3390].end 25103.65221875
transcript.pyannote[3391].speaker SPEAKER_19
transcript.pyannote[3391].start 25104.63096875
transcript.pyannote[3391].end 25107.51659375
transcript.pyannote[3392].speaker SPEAKER_19
transcript.pyannote[3392].start 25108.24221875
transcript.pyannote[3392].end 25109.91284375
transcript.pyannote[3393].speaker SPEAKER_19
transcript.pyannote[3393].start 25110.03096875
transcript.pyannote[3393].end 25112.20784375
transcript.pyannote[3394].speaker SPEAKER_07
transcript.pyannote[3394].start 25111.65096875
transcript.pyannote[3394].end 25111.66784375
transcript.pyannote[3395].speaker SPEAKER_05
transcript.pyannote[3395].start 25111.66784375
transcript.pyannote[3395].end 25119.86909375
transcript.pyannote[3396].speaker SPEAKER_19
transcript.pyannote[3396].start 25117.11846875
transcript.pyannote[3396].end 25118.02971875
transcript.pyannote[3397].speaker SPEAKER_19
transcript.pyannote[3397].start 25120.40909375
transcript.pyannote[3397].end 25122.97409375
transcript.pyannote[3398].speaker SPEAKER_05
transcript.pyannote[3398].start 25121.77596875
transcript.pyannote[3398].end 25128.15471875
transcript.pyannote[3399].speaker SPEAKER_19
transcript.pyannote[3399].start 25127.44596875
transcript.pyannote[3399].end 25130.80409375
transcript.pyannote[3400].speaker SPEAKER_05
transcript.pyannote[3400].start 25130.53409375
transcript.pyannote[3400].end 25138.51596875
transcript.pyannote[3401].speaker SPEAKER_19
transcript.pyannote[3401].start 25139.10659375
transcript.pyannote[3401].end 25142.56596875
transcript.pyannote[3402].speaker SPEAKER_05
transcript.pyannote[3402].start 25142.09346875
transcript.pyannote[3402].end 25142.68409375
transcript.pyannote[3403].speaker SPEAKER_05
transcript.pyannote[3403].start 25143.00471875
transcript.pyannote[3403].end 25143.39284375
transcript.pyannote[3404].speaker SPEAKER_19
transcript.pyannote[3404].start 25143.74721875
transcript.pyannote[3404].end 25145.85659375
transcript.pyannote[3405].speaker SPEAKER_05
transcript.pyannote[3405].start 25146.05909375
transcript.pyannote[3405].end 25146.78471875
transcript.pyannote[3406].speaker SPEAKER_19
transcript.pyannote[3406].start 25146.91971875
transcript.pyannote[3406].end 25149.09659375
transcript.pyannote[3407].speaker SPEAKER_05
transcript.pyannote[3407].start 25149.09659375
transcript.pyannote[3407].end 25152.50534375
transcript.pyannote[3408].speaker SPEAKER_05
transcript.pyannote[3408].start 25152.74159375
transcript.pyannote[3408].end 25176.63659375
transcript.pyannote[3409].speaker SPEAKER_05
transcript.pyannote[3409].start 25176.97409375
transcript.pyannote[3409].end 25178.37471875
transcript.pyannote[3410].speaker SPEAKER_19
transcript.pyannote[3410].start 25178.66159375
transcript.pyannote[3410].end 25184.06159375
transcript.pyannote[3411].speaker SPEAKER_19
transcript.pyannote[3411].start 25184.24721875
transcript.pyannote[3411].end 25188.80346875
transcript.pyannote[3412].speaker SPEAKER_05
transcript.pyannote[3412].start 25187.97659375
transcript.pyannote[3412].end 25194.35534375
transcript.pyannote[3413].speaker SPEAKER_05
transcript.pyannote[3413].start 25194.54096875
transcript.pyannote[3413].end 25210.79159375
transcript.pyannote[3414].speaker SPEAKER_19
transcript.pyannote[3414].start 25211.16284375
transcript.pyannote[3414].end 25214.58846875
transcript.pyannote[3415].speaker SPEAKER_05
transcript.pyannote[3415].start 25213.67721875
transcript.pyannote[3415].end 25217.71034375
transcript.pyannote[3416].speaker SPEAKER_19
transcript.pyannote[3416].start 25216.51221875
transcript.pyannote[3416].end 25220.37659375
transcript.pyannote[3417].speaker SPEAKER_05
transcript.pyannote[3417].start 25221.27096875
transcript.pyannote[3417].end 25230.33284375
transcript.pyannote[3418].speaker SPEAKER_19
transcript.pyannote[3418].start 25225.37159375
transcript.pyannote[3418].end 25225.47284375
transcript.pyannote[3419].speaker SPEAKER_05
transcript.pyannote[3419].start 25230.67034375
transcript.pyannote[3419].end 25231.17659375
transcript.pyannote[3420].speaker SPEAKER_19
transcript.pyannote[3420].start 25231.78409375
transcript.pyannote[3420].end 25236.05346875
transcript.pyannote[3421].speaker SPEAKER_05
transcript.pyannote[3421].start 25233.82596875
transcript.pyannote[3421].end 25234.06221875
transcript.pyannote[3422].speaker SPEAKER_19
transcript.pyannote[3422].start 25236.50909375
transcript.pyannote[3422].end 25239.00659375
transcript.pyannote[3423].speaker SPEAKER_05
transcript.pyannote[3423].start 25237.25159375
transcript.pyannote[3423].end 25241.33534375
transcript.pyannote[3424].speaker SPEAKER_19
transcript.pyannote[3424].start 25241.63909375
transcript.pyannote[3424].end 25242.24659375
transcript.pyannote[3425].speaker SPEAKER_05
transcript.pyannote[3425].start 25241.99346875
transcript.pyannote[3425].end 25263.71159375
transcript.pyannote[3426].speaker SPEAKER_19
transcript.pyannote[3426].start 25263.39096875
transcript.pyannote[3426].end 25267.28909375
transcript.pyannote[3427].speaker SPEAKER_05
transcript.pyannote[3427].start 25266.24284375
transcript.pyannote[3427].end 25267.66034375
transcript.pyannote[3428].speaker SPEAKER_05
transcript.pyannote[3428].start 25267.93034375
transcript.pyannote[3428].end 25272.01409375
transcript.pyannote[3429].speaker SPEAKER_19
transcript.pyannote[3429].start 25272.70596875
transcript.pyannote[3429].end 25273.31346875
transcript.pyannote[3430].speaker SPEAKER_19
transcript.pyannote[3430].start 25273.48221875
transcript.pyannote[3430].end 25276.97534375
transcript.pyannote[3431].speaker SPEAKER_05
transcript.pyannote[3431].start 25274.89971875
transcript.pyannote[3431].end 25276.06409375
transcript.pyannote[3432].speaker SPEAKER_05
transcript.pyannote[3432].start 25276.77284375
transcript.pyannote[3432].end 25318.31909375
transcript.pyannote[3433].speaker SPEAKER_19
transcript.pyannote[3433].start 25319.11221875
transcript.pyannote[3433].end 25322.21721875
transcript.pyannote[3434].speaker SPEAKER_05
transcript.pyannote[3434].start 25321.57596875
transcript.pyannote[3434].end 25322.53784375
transcript.pyannote[3435].speaker SPEAKER_19
transcript.pyannote[3435].start 25322.23409375
transcript.pyannote[3435].end 25325.45721875
transcript.pyannote[3436].speaker SPEAKER_05
transcript.pyannote[3436].start 25325.38971875
transcript.pyannote[3436].end 25330.82346875
transcript.pyannote[3437].speaker SPEAKER_19
transcript.pyannote[3437].start 25331.29596875
transcript.pyannote[3437].end 25333.03409375
transcript.pyannote[3438].speaker SPEAKER_19
transcript.pyannote[3438].start 25334.13096875
transcript.pyannote[3438].end 25338.41721875
transcript.pyannote[3439].speaker SPEAKER_05
transcript.pyannote[3439].start 25337.96159375
transcript.pyannote[3439].end 25358.41409375
transcript.pyannote[3440].speaker SPEAKER_19
transcript.pyannote[3440].start 25342.70346875
transcript.pyannote[3440].end 25343.19284375
transcript.pyannote[3441].speaker SPEAKER_19
transcript.pyannote[3441].start 25344.17159375
transcript.pyannote[3441].end 25346.77034375
transcript.pyannote[3442].speaker SPEAKER_19
transcript.pyannote[3442].start 25358.34659375
transcript.pyannote[3442].end 25358.39721875
transcript.pyannote[3443].speaker SPEAKER_19
transcript.pyannote[3443].start 25358.41409375
transcript.pyannote[3443].end 25359.57846875
transcript.pyannote[3444].speaker SPEAKER_12
transcript.pyannote[3444].start 25361.08034375
transcript.pyannote[3444].end 25364.37096875
transcript.pyannote[3445].speaker SPEAKER_12
transcript.pyannote[3445].start 25364.67471875
transcript.pyannote[3445].end 25365.36659375
transcript.pyannote[3446].speaker SPEAKER_12
transcript.pyannote[3446].start 25365.82221875
transcript.pyannote[3446].end 25368.64034375
transcript.pyannote[3447].speaker SPEAKER_12
transcript.pyannote[3447].start 25369.33221875
transcript.pyannote[3447].end 25372.06596875
transcript.pyannote[3448].speaker SPEAKER_12
transcript.pyannote[3448].start 25372.48784375
transcript.pyannote[3448].end 25373.34846875
transcript.pyannote[3449].speaker SPEAKER_12
transcript.pyannote[3449].start 25373.53409375
transcript.pyannote[3449].end 25377.43221875
transcript.pyannote[3450].speaker SPEAKER_12
transcript.pyannote[3450].start 25989.79221875
transcript.pyannote[3450].end 25994.02784375
transcript.pyannote[3451].speaker SPEAKER_12
transcript.pyannote[3451].start 25994.88846875
transcript.pyannote[3451].end 26000.96346875
transcript.pyannote[3452].speaker SPEAKER_12
transcript.pyannote[3452].start 26001.52034375
transcript.pyannote[3452].end 26004.18659375
transcript.pyannote[3453].speaker SPEAKER_12
transcript.pyannote[3453].start 26004.40596875
transcript.pyannote[3453].end 26006.75159375
transcript.pyannote[3454].speaker SPEAKER_13
transcript.pyannote[3454].start 26020.62284375
transcript.pyannote[3454].end 26021.43284375
transcript.pyannote[3455].speaker SPEAKER_13
transcript.pyannote[3455].start 26021.58471875
transcript.pyannote[3455].end 26022.63096875
transcript.pyannote[3456].speaker SPEAKER_13
transcript.pyannote[3456].start 26023.12034375
transcript.pyannote[3456].end 26023.55909375
transcript.pyannote[3457].speaker SPEAKER_13
transcript.pyannote[3457].start 26023.96409375
transcript.pyannote[3457].end 26024.82471875
transcript.pyannote[3458].speaker SPEAKER_12
transcript.pyannote[3458].start 26025.56721875
transcript.pyannote[3458].end 26027.62596875
transcript.pyannote[3459].speaker SPEAKER_00
transcript.pyannote[3459].start 26038.10534375
transcript.pyannote[3459].end 26038.66221875
transcript.pyannote[3460].speaker SPEAKER_00
transcript.pyannote[3460].start 26038.98284375
transcript.pyannote[3460].end 26039.01659375
transcript.pyannote[3461].speaker SPEAKER_13
transcript.pyannote[3461].start 26039.01659375
transcript.pyannote[3461].end 26039.03346875
transcript.pyannote[3462].speaker SPEAKER_00
transcript.pyannote[3462].start 26039.03346875
transcript.pyannote[3462].end 26039.45534375
transcript.pyannote[3463].speaker SPEAKER_13
transcript.pyannote[3463].start 26040.19784375
transcript.pyannote[3463].end 26040.70409375
transcript.pyannote[3464].speaker SPEAKER_13
transcript.pyannote[3464].start 26041.80096875
transcript.pyannote[3464].end 26043.87659375
transcript.pyannote[3465].speaker SPEAKER_13
transcript.pyannote[3465].start 26044.77096875
transcript.pyannote[3465].end 26045.07471875
transcript.pyannote[3466].speaker SPEAKER_13
transcript.pyannote[3466].start 26046.44159375
transcript.pyannote[3466].end 26047.69034375
transcript.pyannote[3467].speaker SPEAKER_13
transcript.pyannote[3467].start 26048.73659375
transcript.pyannote[3467].end 26050.00221875
transcript.pyannote[3468].speaker SPEAKER_13
transcript.pyannote[3468].start 26051.03159375
transcript.pyannote[3468].end 26051.36909375
transcript.pyannote[3469].speaker SPEAKER_13
transcript.pyannote[3469].start 26052.06096875
transcript.pyannote[3469].end 26054.25471875
transcript.pyannote[3470].speaker SPEAKER_13
transcript.pyannote[3470].start 26054.65971875
transcript.pyannote[3470].end 26055.03096875
transcript.pyannote[3471].speaker SPEAKER_13
transcript.pyannote[3471].start 26055.53721875
transcript.pyannote[3471].end 26056.60034375
transcript.pyannote[3472].speaker SPEAKER_13
transcript.pyannote[3472].start 26057.91659375
transcript.pyannote[3472].end 26061.22409375
transcript.pyannote[3473].speaker SPEAKER_13
transcript.pyannote[3473].start 26061.93284375
transcript.pyannote[3473].end 26062.27034375
transcript.pyannote[3474].speaker SPEAKER_13
transcript.pyannote[3474].start 26063.04659375
transcript.pyannote[3474].end 26065.54409375
transcript.pyannote[3475].speaker SPEAKER_13
transcript.pyannote[3475].start 26066.18534375
transcript.pyannote[3475].end 26066.89409375
transcript.pyannote[3476].speaker SPEAKER_13
transcript.pyannote[3476].start 26067.43409375
transcript.pyannote[3476].end 26068.68284375
transcript.pyannote[3477].speaker SPEAKER_13
transcript.pyannote[3477].start 26069.37471875
transcript.pyannote[3477].end 26072.78346875
transcript.pyannote[3478].speaker SPEAKER_13
transcript.pyannote[3478].start 26073.50909375
transcript.pyannote[3478].end 26076.69846875
transcript.pyannote[3479].speaker SPEAKER_13
transcript.pyannote[3479].start 26077.17096875
transcript.pyannote[3479].end 26077.55909375
transcript.pyannote[3480].speaker SPEAKER_13
transcript.pyannote[3480].start 26077.79534375
transcript.pyannote[3480].end 26078.52096875
transcript.pyannote[3481].speaker SPEAKER_13
transcript.pyannote[3481].start 26079.43221875
transcript.pyannote[3481].end 26084.32596875
transcript.pyannote[3482].speaker SPEAKER_13
transcript.pyannote[3482].start 26084.73096875
transcript.pyannote[3482].end 26088.57846875
transcript.pyannote[3483].speaker SPEAKER_13
transcript.pyannote[3483].start 26089.21971875
transcript.pyannote[3483].end 26092.42596875
transcript.pyannote[3484].speaker SPEAKER_13
transcript.pyannote[3484].start 26092.79721875
transcript.pyannote[3484].end 26093.15159375
transcript.pyannote[3485].speaker SPEAKER_13
transcript.pyannote[3485].start 26093.69159375
transcript.pyannote[3485].end 26096.64471875
transcript.pyannote[3486].speaker SPEAKER_13
transcript.pyannote[3486].start 26097.16784375
transcript.pyannote[3486].end 26101.23471875
transcript.pyannote[3487].speaker SPEAKER_13
transcript.pyannote[3487].start 26101.92659375
transcript.pyannote[3487].end 26107.05659375
transcript.pyannote[3488].speaker SPEAKER_13
transcript.pyannote[3488].start 26107.64721875
transcript.pyannote[3488].end 26110.09409375
transcript.pyannote[3489].speaker SPEAKER_13
transcript.pyannote[3489].start 26110.80284375
transcript.pyannote[3489].end 26112.72659375
transcript.pyannote[3490].speaker SPEAKER_13
transcript.pyannote[3490].start 26113.21596875
transcript.pyannote[3490].end 26113.53659375
transcript.pyannote[3491].speaker SPEAKER_13
transcript.pyannote[3491].start 26114.11034375
transcript.pyannote[3491].end 26118.26159375
transcript.pyannote[3492].speaker SPEAKER_13
transcript.pyannote[3492].start 26118.78471875
transcript.pyannote[3492].end 26120.55659375
transcript.pyannote[3493].speaker SPEAKER_13
transcript.pyannote[3493].start 26121.09659375
transcript.pyannote[3493].end 26122.32846875
transcript.pyannote[3494].speaker SPEAKER_13
transcript.pyannote[3494].start 26122.59846875
transcript.pyannote[3494].end 26123.74596875
transcript.pyannote[3495].speaker SPEAKER_13
transcript.pyannote[3495].start 26124.16784375
transcript.pyannote[3495].end 26125.04534375
transcript.pyannote[3496].speaker SPEAKER_13
transcript.pyannote[3496].start 26125.23096875
transcript.pyannote[3496].end 26127.30659375
transcript.pyannote[3497].speaker SPEAKER_13
transcript.pyannote[3497].start 26128.01534375
transcript.pyannote[3497].end 26131.67721875
transcript.pyannote[3498].speaker SPEAKER_13
transcript.pyannote[3498].start 26132.14971875
transcript.pyannote[3498].end 26132.97659375
transcript.pyannote[3499].speaker SPEAKER_13
transcript.pyannote[3499].start 26133.07784375
transcript.pyannote[3499].end 26136.41909375
transcript.pyannote[3500].speaker SPEAKER_13
transcript.pyannote[3500].start 26136.63846875
transcript.pyannote[3500].end 26137.75221875
transcript.pyannote[3501].speaker SPEAKER_13
transcript.pyannote[3501].start 26137.90409375
transcript.pyannote[3501].end 26139.81096875
transcript.pyannote[3502].speaker SPEAKER_13
transcript.pyannote[3502].start 26140.24971875
transcript.pyannote[3502].end 26140.80659375
transcript.pyannote[3503].speaker SPEAKER_13
transcript.pyannote[3503].start 26141.29596875
transcript.pyannote[3503].end 26142.24096875
transcript.pyannote[3504].speaker SPEAKER_13
transcript.pyannote[3504].start 26142.86534375
transcript.pyannote[3504].end 26143.38846875
transcript.pyannote[3505].speaker SPEAKER_13
transcript.pyannote[3505].start 26143.97909375
transcript.pyannote[3505].end 26146.56096875
transcript.pyannote[3506].speaker SPEAKER_13
transcript.pyannote[3506].start 26146.98284375
transcript.pyannote[3506].end 26149.44659375
transcript.pyannote[3507].speaker SPEAKER_13
transcript.pyannote[3507].start 26149.81784375
transcript.pyannote[3507].end 26150.05409375
transcript.pyannote[3508].speaker SPEAKER_00
transcript.pyannote[3508].start 26151.08346875
transcript.pyannote[3508].end 26151.55596875
transcript.pyannote[3509].speaker SPEAKER_00
transcript.pyannote[3509].start 26151.58971875
transcript.pyannote[3509].end 26165.44409375
transcript.pyannote[3510].speaker SPEAKER_00
transcript.pyannote[3510].start 26165.79846875
transcript.pyannote[3510].end 26190.62159375
transcript.pyannote[3511].speaker SPEAKER_13
transcript.pyannote[3511].start 26172.16034375
transcript.pyannote[3511].end 26172.71721875
transcript.pyannote[3512].speaker SPEAKER_00
transcript.pyannote[3512].start 26191.02659375
transcript.pyannote[3512].end 26198.36721875
transcript.pyannote[3513].speaker SPEAKER_00
transcript.pyannote[3513].start 26198.80596875
transcript.pyannote[3513].end 26201.97846875
transcript.pyannote[3514].speaker SPEAKER_13
transcript.pyannote[3514].start 26202.40034375
transcript.pyannote[3514].end 26204.15534375
transcript.pyannote[3515].speaker SPEAKER_13
transcript.pyannote[3515].start 26204.49284375
transcript.pyannote[3515].end 26210.29784375
transcript.pyannote[3516].speaker SPEAKER_13
transcript.pyannote[3516].start 26210.75346875
transcript.pyannote[3516].end 26211.63096875
transcript.pyannote[3517].speaker SPEAKER_13
transcript.pyannote[3517].start 26212.17096875
transcript.pyannote[3517].end 26215.79909375
transcript.pyannote[3518].speaker SPEAKER_13
transcript.pyannote[3518].start 26216.18721875
transcript.pyannote[3518].end 26225.83971875
transcript.pyannote[3519].speaker SPEAKER_13
transcript.pyannote[3519].start 26226.22784375
transcript.pyannote[3519].end 26227.56096875
transcript.pyannote[3520].speaker SPEAKER_13
transcript.pyannote[3520].start 26227.99971875
transcript.pyannote[3520].end 26228.60721875
transcript.pyannote[3521].speaker SPEAKER_13
transcript.pyannote[3521].start 26228.82659375
transcript.pyannote[3521].end 26233.34909375
transcript.pyannote[3522].speaker SPEAKER_13
transcript.pyannote[3522].start 26233.87221875
transcript.pyannote[3522].end 26236.79159375
transcript.pyannote[3523].speaker SPEAKER_13
transcript.pyannote[3523].start 26237.14596875
transcript.pyannote[3523].end 26241.33096875
transcript.pyannote[3524].speaker SPEAKER_13
transcript.pyannote[3524].start 26241.63471875
transcript.pyannote[3524].end 26244.75659375
transcript.pyannote[3525].speaker SPEAKER_13
transcript.pyannote[3525].start 26245.51596875
transcript.pyannote[3525].end 26248.08096875
transcript.pyannote[3526].speaker SPEAKER_13
transcript.pyannote[3526].start 26248.31721875
transcript.pyannote[3526].end 26258.25659375
transcript.pyannote[3527].speaker SPEAKER_13
transcript.pyannote[3527].start 26258.54346875
transcript.pyannote[3527].end 26270.84534375
transcript.pyannote[3528].speaker SPEAKER_13
transcript.pyannote[3528].start 26271.23346875
transcript.pyannote[3528].end 26271.99284375
transcript.pyannote[3529].speaker SPEAKER_00
transcript.pyannote[3529].start 26272.34721875
transcript.pyannote[3529].end 26273.14034375
transcript.pyannote[3530].speaker SPEAKER_00
transcript.pyannote[3530].start 26273.30909375
transcript.pyannote[3530].end 26273.32596875
transcript.pyannote[3531].speaker SPEAKER_13
transcript.pyannote[3531].start 26273.32596875
transcript.pyannote[3531].end 26273.84909375
transcript.pyannote[3532].speaker SPEAKER_13
transcript.pyannote[3532].start 26274.00096875
transcript.pyannote[3532].end 26274.91221875
transcript.pyannote[3533].speaker SPEAKER_13
transcript.pyannote[3533].start 26275.36784375
transcript.pyannote[3533].end 26275.85721875
transcript.pyannote[3534].speaker SPEAKER_12
transcript.pyannote[3534].start 26276.65034375
transcript.pyannote[3534].end 26278.11846875
transcript.pyannote[3535].speaker SPEAKER_12
transcript.pyannote[3535].start 26281.54409375
transcript.pyannote[3535].end 26284.19346875
transcript.pyannote[3536].speaker SPEAKER_13
transcript.pyannote[3536].start 26284.19346875
transcript.pyannote[3536].end 26284.24409375
transcript.pyannote[3537].speaker SPEAKER_12
transcript.pyannote[3537].start 26284.24409375
transcript.pyannote[3537].end 26285.91471875
transcript.pyannote[3538].speaker SPEAKER_13
transcript.pyannote[3538].start 26284.78409375
transcript.pyannote[3538].end 26285.76284375
transcript.pyannote[3539].speaker SPEAKER_19
transcript.pyannote[3539].start 26290.50471875
transcript.pyannote[3539].end 26291.11221875
transcript.pyannote[3540].speaker SPEAKER_13
transcript.pyannote[3540].start 26292.79971875
transcript.pyannote[3540].end 26295.02721875
transcript.pyannote[3541].speaker SPEAKER_13
transcript.pyannote[3541].start 26295.82034375
transcript.pyannote[3541].end 26298.25034375
transcript.pyannote[3542].speaker SPEAKER_13
transcript.pyannote[3542].start 26298.52034375
transcript.pyannote[3542].end 26299.56659375
transcript.pyannote[3543].speaker SPEAKER_13
transcript.pyannote[3543].start 26299.93784375
transcript.pyannote[3543].end 26303.54909375
transcript.pyannote[3544].speaker SPEAKER_13
transcript.pyannote[3544].start 26303.86971875
transcript.pyannote[3544].end 26313.01596875
transcript.pyannote[3545].speaker SPEAKER_13
transcript.pyannote[3545].start 26313.23534375
transcript.pyannote[3545].end 26314.92284375
transcript.pyannote[3546].speaker SPEAKER_13
transcript.pyannote[3546].start 26314.99034375
transcript.pyannote[3546].end 26315.49659375
transcript.pyannote[3547].speaker SPEAKER_13
transcript.pyannote[3547].start 26315.61471875
transcript.pyannote[3547].end 26316.71159375
transcript.pyannote[3548].speaker SPEAKER_13
transcript.pyannote[3548].start 26317.11659375
transcript.pyannote[3548].end 26318.97284375
transcript.pyannote[3549].speaker SPEAKER_13
transcript.pyannote[3549].start 26319.64784375
transcript.pyannote[3549].end 26320.98096875
transcript.pyannote[3550].speaker SPEAKER_13
transcript.pyannote[3550].start 26321.89221875
transcript.pyannote[3550].end 26322.95534375
transcript.pyannote[3551].speaker SPEAKER_13
transcript.pyannote[3551].start 26323.56284375
transcript.pyannote[3551].end 26323.84971875
transcript.pyannote[3552].speaker SPEAKER_13
transcript.pyannote[3552].start 26324.79471875
transcript.pyannote[3552].end 26325.50346875
transcript.pyannote[3553].speaker SPEAKER_13
transcript.pyannote[3553].start 26325.92534375
transcript.pyannote[3553].end 26327.32596875
transcript.pyannote[3554].speaker SPEAKER_13
transcript.pyannote[3554].start 26327.52846875
transcript.pyannote[3554].end 26330.90346875
transcript.pyannote[3555].speaker SPEAKER_13
transcript.pyannote[3555].start 26331.89909375
transcript.pyannote[3555].end 26336.05034375
transcript.pyannote[3556].speaker SPEAKER_13
transcript.pyannote[3556].start 26336.84346875
transcript.pyannote[3556].end 26337.23159375
transcript.pyannote[3557].speaker SPEAKER_13
transcript.pyannote[3557].start 26337.68721875
transcript.pyannote[3557].end 26338.76721875
transcript.pyannote[3558].speaker SPEAKER_13
transcript.pyannote[3558].start 26339.34096875
transcript.pyannote[3558].end 26343.59346875
transcript.pyannote[3559].speaker SPEAKER_13
transcript.pyannote[3559].start 26343.89721875
transcript.pyannote[3559].end 26349.14534375
transcript.pyannote[3560].speaker SPEAKER_13
transcript.pyannote[3560].start 26349.44909375
transcript.pyannote[3560].end 26349.97221875
transcript.pyannote[3561].speaker SPEAKER_13
transcript.pyannote[3561].start 26350.61346875
transcript.pyannote[3561].end 26357.88659375
transcript.pyannote[3562].speaker SPEAKER_13
transcript.pyannote[3562].start 26358.34221875
transcript.pyannote[3562].end 26360.62034375
transcript.pyannote[3563].speaker SPEAKER_13
transcript.pyannote[3563].start 26361.04221875
transcript.pyannote[3563].end 26361.39659375
transcript.pyannote[3564].speaker SPEAKER_13
transcript.pyannote[3564].start 26361.71721875
transcript.pyannote[3564].end 26364.67034375
transcript.pyannote[3565].speaker SPEAKER_13
transcript.pyannote[3565].start 26365.64909375
transcript.pyannote[3565].end 26367.04971875
transcript.pyannote[3566].speaker SPEAKER_13
transcript.pyannote[3566].start 26367.62346875
transcript.pyannote[3566].end 26368.43346875
transcript.pyannote[3567].speaker SPEAKER_13
transcript.pyannote[3567].start 26369.10846875
transcript.pyannote[3567].end 26370.34034375
transcript.pyannote[3568].speaker SPEAKER_13
transcript.pyannote[3568].start 26370.77909375
transcript.pyannote[3568].end 26371.47096875
transcript.pyannote[3569].speaker SPEAKER_13
transcript.pyannote[3569].start 26372.23034375
transcript.pyannote[3569].end 26373.66471875
transcript.pyannote[3570].speaker SPEAKER_13
transcript.pyannote[3570].start 26374.08659375
transcript.pyannote[3570].end 26375.38596875
transcript.pyannote[3571].speaker SPEAKER_13
transcript.pyannote[3571].start 26375.47034375
transcript.pyannote[3571].end 26378.17034375
transcript.pyannote[3572].speaker SPEAKER_13
transcript.pyannote[3572].start 26378.50784375
transcript.pyannote[3572].end 26383.03034375
transcript.pyannote[3573].speaker SPEAKER_13
transcript.pyannote[3573].start 26383.33409375
transcript.pyannote[3573].end 26385.98346875
transcript.pyannote[3574].speaker SPEAKER_13
transcript.pyannote[3574].start 26386.50659375
transcript.pyannote[3574].end 26386.86096875
transcript.pyannote[3575].speaker SPEAKER_13
transcript.pyannote[3575].start 26387.09721875
transcript.pyannote[3575].end 26390.48909375
transcript.pyannote[3576].speaker SPEAKER_13
transcript.pyannote[3576].start 26391.02909375
transcript.pyannote[3576].end 26392.09221875
transcript.pyannote[3577].speaker SPEAKER_13
transcript.pyannote[3577].start 26392.61534375
transcript.pyannote[3577].end 26393.88096875
transcript.pyannote[3578].speaker SPEAKER_13
transcript.pyannote[3578].start 26394.38721875
transcript.pyannote[3578].end 26396.31096875
transcript.pyannote[3579].speaker SPEAKER_13
transcript.pyannote[3579].start 26396.91846875
transcript.pyannote[3579].end 26398.69034375
transcript.pyannote[3580].speaker SPEAKER_13
transcript.pyannote[3580].start 26399.04471875
transcript.pyannote[3580].end 26400.58034375
transcript.pyannote[3581].speaker SPEAKER_13
transcript.pyannote[3581].start 26400.96846875
transcript.pyannote[3581].end 26405.69346875
transcript.pyannote[3582].speaker SPEAKER_19
transcript.pyannote[3582].start 26406.53721875
transcript.pyannote[3582].end 26407.48221875
transcript.pyannote[3583].speaker SPEAKER_19
transcript.pyannote[3583].start 26407.66784375
transcript.pyannote[3583].end 26410.90784375
transcript.pyannote[3584].speaker SPEAKER_19
transcript.pyannote[3584].start 26411.39721875
transcript.pyannote[3584].end 26413.92846875
transcript.pyannote[3585].speaker SPEAKER_19
transcript.pyannote[3585].start 26414.31659375
transcript.pyannote[3585].end 26415.09284375
transcript.pyannote[3586].speaker SPEAKER_19
transcript.pyannote[3586].start 26415.59909375
transcript.pyannote[3586].end 26416.07159375
transcript.pyannote[3587].speaker SPEAKER_19
transcript.pyannote[3587].start 26416.49346875
transcript.pyannote[3587].end 26418.80534375
transcript.pyannote[3588].speaker SPEAKER_19
transcript.pyannote[3588].start 26419.04159375
transcript.pyannote[3588].end 26419.83471875
transcript.pyannote[3589].speaker SPEAKER_19
transcript.pyannote[3589].start 26420.71221875
transcript.pyannote[3589].end 26421.45471875
transcript.pyannote[3590].speaker SPEAKER_19
transcript.pyannote[3590].start 26421.87659375
transcript.pyannote[3590].end 26423.73284375
transcript.pyannote[3591].speaker SPEAKER_19
transcript.pyannote[3591].start 26424.22221875
transcript.pyannote[3591].end 26426.21346875
transcript.pyannote[3592].speaker SPEAKER_19
transcript.pyannote[3592].start 26427.58034375
transcript.pyannote[3592].end 26429.28471875
transcript.pyannote[3593].speaker SPEAKER_19
transcript.pyannote[3593].start 26429.62221875
transcript.pyannote[3593].end 26432.33909375
transcript.pyannote[3594].speaker SPEAKER_19
transcript.pyannote[3594].start 26432.62596875
transcript.pyannote[3594].end 26433.35159375
transcript.pyannote[3595].speaker SPEAKER_19
transcript.pyannote[3595].start 26434.21221875
transcript.pyannote[3595].end 26437.63784375
transcript.pyannote[3596].speaker SPEAKER_19
transcript.pyannote[3596].start 26437.92471875
transcript.pyannote[3596].end 26438.65034375
transcript.pyannote[3597].speaker SPEAKER_19
transcript.pyannote[3597].start 26439.00471875
transcript.pyannote[3597].end 26439.74721875
transcript.pyannote[3598].speaker SPEAKER_13
transcript.pyannote[3598].start 26441.38409375
transcript.pyannote[3598].end 26444.69159375
transcript.pyannote[3599].speaker SPEAKER_19
transcript.pyannote[3599].start 26444.69159375
transcript.pyannote[3599].end 26445.87284375
transcript.pyannote[3600].speaker SPEAKER_13
transcript.pyannote[3600].start 26445.07971875
transcript.pyannote[3600].end 26446.00784375
transcript.pyannote[3601].speaker SPEAKER_13
transcript.pyannote[3601].start 26446.42971875
transcript.pyannote[3601].end 26449.66971875
transcript.pyannote[3602].speaker SPEAKER_13
transcript.pyannote[3602].start 26449.99034375
transcript.pyannote[3602].end 26451.32346875
transcript.pyannote[3603].speaker SPEAKER_13
transcript.pyannote[3603].start 26451.62721875
transcript.pyannote[3603].end 26455.57596875
transcript.pyannote[3604].speaker SPEAKER_13
transcript.pyannote[3604].start 26456.01471875
transcript.pyannote[3604].end 26457.41534375
transcript.pyannote[3605].speaker SPEAKER_13
transcript.pyannote[3605].start 26457.63471875
transcript.pyannote[3605].end 26460.60471875
transcript.pyannote[3606].speaker SPEAKER_13
transcript.pyannote[3606].start 26460.99284375
transcript.pyannote[3606].end 26467.59096875
transcript.pyannote[3607].speaker SPEAKER_13
transcript.pyannote[3607].start 26467.99596875
transcript.pyannote[3607].end 26480.68596875
transcript.pyannote[3608].speaker SPEAKER_19
transcript.pyannote[3608].start 26480.80409375
transcript.pyannote[3608].end 26481.47909375
transcript.pyannote[3609].speaker SPEAKER_13
transcript.pyannote[3609].start 26481.09096875
transcript.pyannote[3609].end 26481.29346875
transcript.pyannote[3610].speaker SPEAKER_13
transcript.pyannote[3610].start 26481.47909375
transcript.pyannote[3610].end 26483.31846875
transcript.pyannote[3611].speaker SPEAKER_19
transcript.pyannote[3611].start 26481.83346875
transcript.pyannote[3611].end 26484.16221875
transcript.pyannote[3612].speaker SPEAKER_19
transcript.pyannote[3612].start 26484.48284375
transcript.pyannote[3612].end 26487.62159375
transcript.pyannote[3613].speaker SPEAKER_19
transcript.pyannote[3613].start 26488.29659375
transcript.pyannote[3613].end 26489.10659375
transcript.pyannote[3614].speaker SPEAKER_19
transcript.pyannote[3614].start 26489.49471875
transcript.pyannote[3614].end 26491.19909375
transcript.pyannote[3615].speaker SPEAKER_19
transcript.pyannote[3615].start 26491.45221875
transcript.pyannote[3615].end 26493.24096875
transcript.pyannote[3616].speaker SPEAKER_19
transcript.pyannote[3616].start 26493.74721875
transcript.pyannote[3616].end 26496.05909375
transcript.pyannote[3617].speaker SPEAKER_19
transcript.pyannote[3617].start 26496.22784375
transcript.pyannote[3617].end 26498.45534375
transcript.pyannote[3618].speaker SPEAKER_19
transcript.pyannote[3618].start 26498.67471875
transcript.pyannote[3618].end 26499.92346875
transcript.pyannote[3619].speaker SPEAKER_19
transcript.pyannote[3619].start 26500.44659375
transcript.pyannote[3619].end 26502.92721875
transcript.pyannote[3620].speaker SPEAKER_13
transcript.pyannote[3620].start 26504.19284375
transcript.pyannote[3620].end 26511.31409375
transcript.pyannote[3621].speaker SPEAKER_19
transcript.pyannote[3621].start 26505.96471875
transcript.pyannote[3621].end 26506.43721875
transcript.pyannote[3622].speaker SPEAKER_13
transcript.pyannote[3622].start 26512.46159375
transcript.pyannote[3622].end 26515.85346875
transcript.pyannote[3623].speaker SPEAKER_13
transcript.pyannote[3623].start 26517.97971875
transcript.pyannote[3623].end 26519.36346875
transcript.pyannote[3624].speaker SPEAKER_13
transcript.pyannote[3624].start 26520.40971875
transcript.pyannote[3624].end 26522.23221875
transcript.pyannote[3625].speaker SPEAKER_13
transcript.pyannote[3625].start 26522.78909375
transcript.pyannote[3625].end 26526.13034375
transcript.pyannote[3626].speaker SPEAKER_13
transcript.pyannote[3626].start 26526.48471875
transcript.pyannote[3626].end 26527.54784375
transcript.pyannote[3627].speaker SPEAKER_13
transcript.pyannote[3627].start 26527.88534375
transcript.pyannote[3627].end 26528.22284375
transcript.pyannote[3628].speaker SPEAKER_13
transcript.pyannote[3628].start 26528.79659375
transcript.pyannote[3628].end 26529.43784375
transcript.pyannote[3629].speaker SPEAKER_13
transcript.pyannote[3629].start 26529.85971875
transcript.pyannote[3629].end 26531.22659375
transcript.pyannote[3630].speaker SPEAKER_13
transcript.pyannote[3630].start 26533.33596875
transcript.pyannote[3630].end 26539.79909375
transcript.pyannote[3631].speaker SPEAKER_13
transcript.pyannote[3631].start 26540.27159375
transcript.pyannote[3631].end 26546.68409375
transcript.pyannote[3632].speaker SPEAKER_13
transcript.pyannote[3632].start 26547.12284375
transcript.pyannote[3632].end 26564.48721875
transcript.pyannote[3633].speaker SPEAKER_13
transcript.pyannote[3633].start 26565.07784375
transcript.pyannote[3633].end 26566.32659375
transcript.pyannote[3634].speaker SPEAKER_13
transcript.pyannote[3634].start 26567.00159375
transcript.pyannote[3634].end 26581.32846875
transcript.pyannote[3635].speaker SPEAKER_13
transcript.pyannote[3635].start 26581.42971875
transcript.pyannote[3635].end 26587.03221875
transcript.pyannote[3636].speaker SPEAKER_13
transcript.pyannote[3636].start 26587.45409375
transcript.pyannote[3636].end 26591.18346875
transcript.pyannote[3637].speaker SPEAKER_13
transcript.pyannote[3637].start 26591.52096875
transcript.pyannote[3637].end 26592.41534375
transcript.pyannote[3638].speaker SPEAKER_13
transcript.pyannote[3638].start 26593.09034375
transcript.pyannote[3638].end 26594.00159375
transcript.pyannote[3639].speaker SPEAKER_00
transcript.pyannote[3639].start 26594.92971875
transcript.pyannote[3639].end 26597.88284375
transcript.pyannote[3640].speaker SPEAKER_00
transcript.pyannote[3640].start 26598.18659375
transcript.pyannote[3640].end 26599.38471875
transcript.pyannote[3641].speaker SPEAKER_00
transcript.pyannote[3641].start 26599.72221875
transcript.pyannote[3641].end 26610.75846875
transcript.pyannote[3642].speaker SPEAKER_00
transcript.pyannote[3642].start 26610.80909375
transcript.pyannote[3642].end 26630.33346875
transcript.pyannote[3643].speaker SPEAKER_00
transcript.pyannote[3643].start 26630.58659375
transcript.pyannote[3643].end 26643.14159375
transcript.pyannote[3644].speaker SPEAKER_13
transcript.pyannote[3644].start 26641.89284375
transcript.pyannote[3644].end 26642.02784375
transcript.pyannote[3645].speaker SPEAKER_13
transcript.pyannote[3645].start 26642.55096875
transcript.pyannote[3645].end 26646.61784375
transcript.pyannote[3646].speaker SPEAKER_13
transcript.pyannote[3646].start 26646.85409375
transcript.pyannote[3646].end 26650.19534375
transcript.pyannote[3647].speaker SPEAKER_13
transcript.pyannote[3647].start 26650.70159375
transcript.pyannote[3647].end 26652.74346875
transcript.pyannote[3648].speaker SPEAKER_13
transcript.pyannote[3648].start 26653.23284375
transcript.pyannote[3648].end 26656.64159375
transcript.pyannote[3649].speaker SPEAKER_13
transcript.pyannote[3649].start 26656.92846875
transcript.pyannote[3649].end 26658.71721875
transcript.pyannote[3650].speaker SPEAKER_13
transcript.pyannote[3650].start 26659.29096875
transcript.pyannote[3650].end 26665.24784375
transcript.pyannote[3651].speaker SPEAKER_13
transcript.pyannote[3651].start 26665.45034375
transcript.pyannote[3651].end 26668.15034375
transcript.pyannote[3652].speaker SPEAKER_13
transcript.pyannote[3652].start 26668.77471875
transcript.pyannote[3652].end 26674.12409375
transcript.pyannote[3653].speaker SPEAKER_13
transcript.pyannote[3653].start 26674.73159375
transcript.pyannote[3653].end 26675.96346875
transcript.pyannote[3654].speaker SPEAKER_13
transcript.pyannote[3654].start 26676.40221875
transcript.pyannote[3654].end 26677.93784375
transcript.pyannote[3655].speaker SPEAKER_13
transcript.pyannote[3655].start 26678.56221875
transcript.pyannote[3655].end 26680.30034375
transcript.pyannote[3656].speaker SPEAKER_13
transcript.pyannote[3656].start 26680.73909375
transcript.pyannote[3656].end 26681.14409375
transcript.pyannote[3657].speaker SPEAKER_13
transcript.pyannote[3657].start 26681.63346875
transcript.pyannote[3657].end 26697.47909375
transcript.pyannote[3658].speaker SPEAKER_13
transcript.pyannote[3658].start 26697.95159375
transcript.pyannote[3658].end 26699.35221875
transcript.pyannote[3659].speaker SPEAKER_13
transcript.pyannote[3659].start 26699.85846875
transcript.pyannote[3659].end 26701.64721875
transcript.pyannote[3660].speaker SPEAKER_13
transcript.pyannote[3660].start 26701.86659375
transcript.pyannote[3660].end 26703.79034375
transcript.pyannote[3661].speaker SPEAKER_00
transcript.pyannote[3661].start 26703.79034375
transcript.pyannote[3661].end 26704.00971875
transcript.pyannote[3662].speaker SPEAKER_13
transcript.pyannote[3662].start 26704.00971875
transcript.pyannote[3662].end 26704.02659375
transcript.pyannote[3663].speaker SPEAKER_00
transcript.pyannote[3663].start 26704.02659375
transcript.pyannote[3663].end 26704.12784375
transcript.pyannote[3664].speaker SPEAKER_00
transcript.pyannote[3664].start 26705.02221875
transcript.pyannote[3664].end 26711.35034375
transcript.pyannote[3665].speaker SPEAKER_00
transcript.pyannote[3665].start 26711.38409375
transcript.pyannote[3665].end 26714.94471875
transcript.pyannote[3666].speaker SPEAKER_13
transcript.pyannote[3666].start 26715.50159375
transcript.pyannote[3666].end 26723.93909375
transcript.pyannote[3667].speaker SPEAKER_13
transcript.pyannote[3667].start 26724.47909375
transcript.pyannote[3667].end 26725.05284375
transcript.pyannote[3668].speaker SPEAKER_13
transcript.pyannote[3668].start 26726.14971875
transcript.pyannote[3668].end 26737.03409375
transcript.pyannote[3669].speaker SPEAKER_13
transcript.pyannote[3669].start 26737.06784375
transcript.pyannote[3669].end 26737.77659375
transcript.pyannote[3670].speaker SPEAKER_13
transcript.pyannote[3670].start 26737.96221875
transcript.pyannote[3670].end 26738.77221875
transcript.pyannote[3671].speaker SPEAKER_13
transcript.pyannote[3671].start 26739.04221875
transcript.pyannote[3671].end 26741.45534375
transcript.pyannote[3672].speaker SPEAKER_13
transcript.pyannote[3672].start 26741.79284375
transcript.pyannote[3672].end 26742.19784375
transcript.pyannote[3673].speaker SPEAKER_13
transcript.pyannote[3673].start 26743.00784375
transcript.pyannote[3673].end 26745.75846875
transcript.pyannote[3674].speaker SPEAKER_13
transcript.pyannote[3674].start 26745.97784375
transcript.pyannote[3674].end 26777.78721875
transcript.pyannote[3675].speaker SPEAKER_13
transcript.pyannote[3675].start 26778.37784375
transcript.pyannote[3675].end 26780.01471875
transcript.pyannote[3676].speaker SPEAKER_13
transcript.pyannote[3676].start 26780.13284375
transcript.pyannote[3676].end 26787.55784375
transcript.pyannote[3677].speaker SPEAKER_13
transcript.pyannote[3677].start 26788.50284375
transcript.pyannote[3677].end 26792.23221875
transcript.pyannote[3678].speaker SPEAKER_13
transcript.pyannote[3678].start 26792.85659375
transcript.pyannote[3678].end 26794.69596875
transcript.pyannote[3679].speaker SPEAKER_13
transcript.pyannote[3679].start 26795.57346875
transcript.pyannote[3679].end 26797.27784375
transcript.pyannote[3680].speaker SPEAKER_13
transcript.pyannote[3680].start 26797.93596875
transcript.pyannote[3680].end 26798.59409375
transcript.pyannote[3681].speaker SPEAKER_13
transcript.pyannote[3681].start 26799.72471875
transcript.pyannote[3681].end 26801.05784375
transcript.pyannote[3682].speaker SPEAKER_13
transcript.pyannote[3682].start 26801.76659375
transcript.pyannote[3682].end 26802.82971875
transcript.pyannote[3683].speaker SPEAKER_13
transcript.pyannote[3683].start 26803.21784375
transcript.pyannote[3683].end 26808.21284375
transcript.pyannote[3684].speaker SPEAKER_13
transcript.pyannote[3684].start 26808.71909375
transcript.pyannote[3684].end 26810.72721875
transcript.pyannote[3685].speaker SPEAKER_13
transcript.pyannote[3685].start 26811.23346875
transcript.pyannote[3685].end 26812.07721875
transcript.pyannote[3686].speaker SPEAKER_13
transcript.pyannote[3686].start 26812.51596875
transcript.pyannote[3686].end 26814.10221875
transcript.pyannote[3687].speaker SPEAKER_13
transcript.pyannote[3687].start 26815.03034375
transcript.pyannote[3687].end 26815.67159375
transcript.pyannote[3688].speaker SPEAKER_13
transcript.pyannote[3688].start 26815.97534375
transcript.pyannote[3688].end 26816.63346875
transcript.pyannote[3689].speaker SPEAKER_13
transcript.pyannote[3689].start 26817.35909375
transcript.pyannote[3689].end 26818.72596875
transcript.pyannote[3690].speaker SPEAKER_13
transcript.pyannote[3690].start 26819.31659375
transcript.pyannote[3690].end 26819.89034375
transcript.pyannote[3691].speaker SPEAKER_13
transcript.pyannote[3691].start 26820.32909375
transcript.pyannote[3691].end 26824.17659375
transcript.pyannote[3692].speaker SPEAKER_13
transcript.pyannote[3692].start 26824.86846875
transcript.pyannote[3692].end 26825.66159375
transcript.pyannote[3693].speaker SPEAKER_13
transcript.pyannote[3693].start 26826.10034375
transcript.pyannote[3693].end 26827.31534375
transcript.pyannote[3694].speaker SPEAKER_13
transcript.pyannote[3694].start 26828.00721875
transcript.pyannote[3694].end 26828.31096875
transcript.pyannote[3695].speaker SPEAKER_13
transcript.pyannote[3695].start 26829.22221875
transcript.pyannote[3695].end 26830.31909375
transcript.pyannote[3696].speaker SPEAKER_13
transcript.pyannote[3696].start 26830.87596875
transcript.pyannote[3696].end 26832.44534375
transcript.pyannote[3697].speaker SPEAKER_13
transcript.pyannote[3697].start 26832.78284375
transcript.pyannote[3697].end 26834.28471875
transcript.pyannote[3698].speaker SPEAKER_00
transcript.pyannote[3698].start 26834.47034375
transcript.pyannote[3698].end 26835.14534375
transcript.pyannote[3699].speaker SPEAKER_00
transcript.pyannote[3699].start 26835.36471875
transcript.pyannote[3699].end 26838.30096875
transcript.pyannote[3700].speaker SPEAKER_00
transcript.pyannote[3700].start 26839.27971875
transcript.pyannote[3700].end 26841.23721875
transcript.pyannote[3701].speaker SPEAKER_00
transcript.pyannote[3701].start 26842.11471875
transcript.pyannote[3701].end 26849.69159375
transcript.pyannote[3702].speaker SPEAKER_00
transcript.pyannote[3702].start 26850.23159375
transcript.pyannote[3702].end 26854.46721875
transcript.pyannote[3703].speaker SPEAKER_00
transcript.pyannote[3703].start 26854.97346875
transcript.pyannote[3703].end 26863.73159375
transcript.pyannote[3704].speaker SPEAKER_00
transcript.pyannote[3704].start 26864.18721875
transcript.pyannote[3704].end 26865.58784375
transcript.pyannote[3705].speaker SPEAKER_00
transcript.pyannote[3705].start 26865.97596875
transcript.pyannote[3705].end 26874.09284375
transcript.pyannote[3706].speaker SPEAKER_00
transcript.pyannote[3706].start 26874.51471875
transcript.pyannote[3706].end 26899.96221875
transcript.pyannote[3707].speaker SPEAKER_00
transcript.pyannote[3707].start 26900.62034375
transcript.pyannote[3707].end 26913.93471875
transcript.pyannote[3708].speaker SPEAKER_00
transcript.pyannote[3708].start 26914.33971875
transcript.pyannote[3708].end 26916.71909375
transcript.pyannote[3709].speaker SPEAKER_00
transcript.pyannote[3709].start 26917.22534375
transcript.pyannote[3709].end 26920.83659375
transcript.pyannote[3710].speaker SPEAKER_00
transcript.pyannote[3710].start 26921.07284375
transcript.pyannote[3710].end 26926.01721875
transcript.pyannote[3711].speaker SPEAKER_17
transcript.pyannote[3711].start 26922.64221875
transcript.pyannote[3711].end 26923.03034375
transcript.pyannote[3712].speaker SPEAKER_13
transcript.pyannote[3712].start 26924.16096875
transcript.pyannote[3712].end 26940.15846875
transcript.pyannote[3713].speaker SPEAKER_13
transcript.pyannote[3713].start 26940.42846875
transcript.pyannote[3713].end 26941.96409375
transcript.pyannote[3714].speaker SPEAKER_13
transcript.pyannote[3714].start 26942.62221875
transcript.pyannote[3714].end 26943.48284375
transcript.pyannote[3715].speaker SPEAKER_00
transcript.pyannote[3715].start 26943.48284375
transcript.pyannote[3715].end 26945.76096875
transcript.pyannote[3716].speaker SPEAKER_13
transcript.pyannote[3716].start 26943.49971875
transcript.pyannote[3716].end 26944.63034375
transcript.pyannote[3717].speaker SPEAKER_12
transcript.pyannote[3717].start 26997.39846875
transcript.pyannote[3717].end 26998.20846875
transcript.pyannote[3718].speaker SPEAKER_12
transcript.pyannote[3718].start 27000.14909375
transcript.pyannote[3718].end 27000.63846875
transcript.pyannote[3719].speaker SPEAKER_12
transcript.pyannote[3719].start 27000.99284375
transcript.pyannote[3719].end 27005.09346875
transcript.pyannote[3720].speaker SPEAKER_12
transcript.pyannote[3720].start 27006.89909375
transcript.pyannote[3720].end 27010.45971875
transcript.pyannote[3721].speaker SPEAKER_06
transcript.pyannote[3721].start 27029.78159375
transcript.pyannote[3721].end 27030.69284375
transcript.pyannote[3722].speaker SPEAKER_06
transcript.pyannote[3722].start 27030.87846875
transcript.pyannote[3722].end 27035.36721875
transcript.pyannote[3723].speaker SPEAKER_12
transcript.pyannote[3723].start 27034.97909375
transcript.pyannote[3723].end 27036.00846875
transcript.pyannote[3724].speaker SPEAKER_06
transcript.pyannote[3724].start 27036.36284375
transcript.pyannote[3724].end 27036.98721875
transcript.pyannote[3725].speaker SPEAKER_06
transcript.pyannote[3725].start 27038.43846875
transcript.pyannote[3725].end 27039.01221875
transcript.pyannote[3726].speaker SPEAKER_06
transcript.pyannote[3726].start 27059.09346875
transcript.pyannote[3726].end 27059.92034375
transcript.pyannote[3727].speaker SPEAKER_06
transcript.pyannote[3727].start 27060.81471875
transcript.pyannote[3727].end 27061.30409375
transcript.pyannote[3728].speaker SPEAKER_06
transcript.pyannote[3728].start 27061.89471875
transcript.pyannote[3728].end 27062.85659375
transcript.pyannote[3729].speaker SPEAKER_06
transcript.pyannote[3729].start 27063.54846875
transcript.pyannote[3729].end 27064.66221875
transcript.pyannote[3730].speaker SPEAKER_12
transcript.pyannote[3730].start 27063.86909375
transcript.pyannote[3730].end 27065.05034375
transcript.pyannote[3731].speaker SPEAKER_06
transcript.pyannote[3731].start 27065.37096875
transcript.pyannote[3731].end 27065.40471875
transcript.pyannote[3732].speaker SPEAKER_06
transcript.pyannote[3732].start 27065.50596875
transcript.pyannote[3732].end 27065.60721875
transcript.pyannote[3733].speaker SPEAKER_06
transcript.pyannote[3733].start 27066.29909375
transcript.pyannote[3733].end 27069.25221875
transcript.pyannote[3734].speaker SPEAKER_06
transcript.pyannote[3734].start 27069.94409375
transcript.pyannote[3734].end 27073.15034375
transcript.pyannote[3735].speaker SPEAKER_06
transcript.pyannote[3735].start 27073.85909375
transcript.pyannote[3735].end 27074.02784375
transcript.pyannote[3736].speaker SPEAKER_06
transcript.pyannote[3736].start 27074.60159375
transcript.pyannote[3736].end 27080.17034375
transcript.pyannote[3737].speaker SPEAKER_12
transcript.pyannote[3737].start 27081.01409375
transcript.pyannote[3737].end 27082.41471875
transcript.pyannote[3738].speaker SPEAKER_19
transcript.pyannote[3738].start 27090.86909375
transcript.pyannote[3738].end 27091.56096875
transcript.pyannote[3739].speaker SPEAKER_06
transcript.pyannote[3739].start 27091.67909375
transcript.pyannote[3739].end 27092.32034375
transcript.pyannote[3740].speaker SPEAKER_06
transcript.pyannote[3740].start 27092.55659375
transcript.pyannote[3740].end 27128.87159375
transcript.pyannote[3741].speaker SPEAKER_19
transcript.pyannote[3741].start 27129.59721875
transcript.pyannote[3741].end 27131.60534375
transcript.pyannote[3742].speaker SPEAKER_19
transcript.pyannote[3742].start 27131.87534375
transcript.pyannote[3742].end 27139.60409375
transcript.pyannote[3743].speaker SPEAKER_19
transcript.pyannote[3743].start 27139.87409375
transcript.pyannote[3743].end 27143.29971875
transcript.pyannote[3744].speaker SPEAKER_19
transcript.pyannote[3744].start 27143.53596875
transcript.pyannote[3744].end 27146.03346875
transcript.pyannote[3745].speaker SPEAKER_19
transcript.pyannote[3745].start 27146.47221875
transcript.pyannote[3745].end 27148.02471875
transcript.pyannote[3746].speaker SPEAKER_19
transcript.pyannote[3746].start 27148.19346875
transcript.pyannote[3746].end 27148.83471875
transcript.pyannote[3747].speaker SPEAKER_19
transcript.pyannote[3747].start 27149.08784375
transcript.pyannote[3747].end 27150.75846875
transcript.pyannote[3748].speaker SPEAKER_19
transcript.pyannote[3748].start 27151.14659375
transcript.pyannote[3748].end 27152.36159375
transcript.pyannote[3749].speaker SPEAKER_19
transcript.pyannote[3749].start 27152.58096875
transcript.pyannote[3749].end 27153.39096875
transcript.pyannote[3750].speaker SPEAKER_19
transcript.pyannote[3750].start 27153.57659375
transcript.pyannote[3750].end 27155.77034375
transcript.pyannote[3751].speaker SPEAKER_19
transcript.pyannote[3751].start 27156.05721875
transcript.pyannote[3751].end 27158.01471875
transcript.pyannote[3752].speaker SPEAKER_19
transcript.pyannote[3752].start 27158.41971875
transcript.pyannote[3752].end 27160.39409375
transcript.pyannote[3753].speaker SPEAKER_19
transcript.pyannote[3753].start 27160.54596875
transcript.pyannote[3753].end 27165.28784375
transcript.pyannote[3754].speaker SPEAKER_06
transcript.pyannote[3754].start 27164.34284375
transcript.pyannote[3754].end 27182.16284375
transcript.pyannote[3755].speaker SPEAKER_00
transcript.pyannote[3755].start 27181.33596875
transcript.pyannote[3755].end 27182.28096875
transcript.pyannote[3756].speaker SPEAKER_00
transcript.pyannote[3756].start 27182.38221875
transcript.pyannote[3756].end 27195.10596875
transcript.pyannote[3757].speaker SPEAKER_00
transcript.pyannote[3757].start 27195.52784375
transcript.pyannote[3757].end 27204.82596875
transcript.pyannote[3758].speaker SPEAKER_06
transcript.pyannote[3758].start 27200.52284375
transcript.pyannote[3758].end 27202.81784375
transcript.pyannote[3759].speaker SPEAKER_06
transcript.pyannote[3759].start 27203.71221875
transcript.pyannote[3759].end 27203.91471875
transcript.pyannote[3760].speaker SPEAKER_06
transcript.pyannote[3760].start 27204.18471875
transcript.pyannote[3760].end 27206.58096875
transcript.pyannote[3761].speaker SPEAKER_00
transcript.pyannote[3761].start 27205.75409375
transcript.pyannote[3761].end 27212.30159375
transcript.pyannote[3762].speaker SPEAKER_06
transcript.pyannote[3762].start 27208.57221875
transcript.pyannote[3762].end 27209.43284375
transcript.pyannote[3763].speaker SPEAKER_06
transcript.pyannote[3763].start 27210.44534375
transcript.pyannote[3763].end 27242.76096875
transcript.pyannote[3764].speaker SPEAKER_00
transcript.pyannote[3764].start 27243.94221875
transcript.pyannote[3764].end 27250.32096875
transcript.pyannote[3765].speaker SPEAKER_06
transcript.pyannote[3765].start 27248.68409375
transcript.pyannote[3765].end 27249.25784375
transcript.pyannote[3766].speaker SPEAKER_06
transcript.pyannote[3766].start 27249.93284375
transcript.pyannote[3766].end 27251.53596875
transcript.pyannote[3767].speaker SPEAKER_00
transcript.pyannote[3767].start 27251.67096875
transcript.pyannote[3767].end 27257.35784375
transcript.pyannote[3768].speaker SPEAKER_06
transcript.pyannote[3768].start 27256.27784375
transcript.pyannote[3768].end 27257.72909375
transcript.pyannote[3769].speaker SPEAKER_00
transcript.pyannote[3769].start 27258.01596875
transcript.pyannote[3769].end 27260.27721875
transcript.pyannote[3770].speaker SPEAKER_00
transcript.pyannote[3770].start 27260.61471875
transcript.pyannote[3770].end 27269.54159375
transcript.pyannote[3771].speaker SPEAKER_00
transcript.pyannote[3771].start 27269.86221875
transcript.pyannote[3771].end 27277.60784375
transcript.pyannote[3772].speaker SPEAKER_06
transcript.pyannote[3772].start 27276.93284375
transcript.pyannote[3772].end 27278.01284375
transcript.pyannote[3773].speaker SPEAKER_06
transcript.pyannote[3773].start 27278.09721875
transcript.pyannote[3773].end 27282.53534375
transcript.pyannote[3774].speaker SPEAKER_00
transcript.pyannote[3774].start 27283.22721875
transcript.pyannote[3774].end 27283.76721875
transcript.pyannote[3775].speaker SPEAKER_00
transcript.pyannote[3775].start 27284.61096875
transcript.pyannote[3775].end 27295.57971875
transcript.pyannote[3776].speaker SPEAKER_06
transcript.pyannote[3776].start 27293.68971875
transcript.pyannote[3776].end 27293.89221875
transcript.pyannote[3777].speaker SPEAKER_06
transcript.pyannote[3777].start 27294.44909375
transcript.pyannote[3777].end 27308.03346875
transcript.pyannote[3778].speaker SPEAKER_06
transcript.pyannote[3778].start 27308.05034375
transcript.pyannote[3778].end 27325.14471875
transcript.pyannote[3779].speaker SPEAKER_17
transcript.pyannote[3779].start 27312.40409375
transcript.pyannote[3779].end 27315.22221875
transcript.pyannote[3780].speaker SPEAKER_06
transcript.pyannote[3780].start 27325.90409375
transcript.pyannote[3780].end 27337.09221875
transcript.pyannote[3781].speaker SPEAKER_06
transcript.pyannote[3781].start 27337.48034375
transcript.pyannote[3781].end 27347.04846875
transcript.pyannote[3782].speaker SPEAKER_06
transcript.pyannote[3782].start 27347.06534375
transcript.pyannote[3782].end 27367.38284375
transcript.pyannote[3783].speaker SPEAKER_00
transcript.pyannote[3783].start 27367.45034375
transcript.pyannote[3783].end 27388.25721875
transcript.pyannote[3784].speaker SPEAKER_06
transcript.pyannote[3784].start 27388.37534375
transcript.pyannote[3784].end 27406.49909375
transcript.pyannote[3785].speaker SPEAKER_06
transcript.pyannote[3785].start 27406.71846875
transcript.pyannote[3785].end 27456.38159375
transcript.pyannote[3786].speaker SPEAKER_17
transcript.pyannote[3786].start 27452.80409375
transcript.pyannote[3786].end 27452.90534375
transcript.pyannote[3787].speaker SPEAKER_00
transcript.pyannote[3787].start 27452.90534375
transcript.pyannote[3787].end 27453.25971875
transcript.pyannote[3788].speaker SPEAKER_06
transcript.pyannote[3788].start 27457.34346875
transcript.pyannote[3788].end 27457.73159375
transcript.pyannote[3789].speaker SPEAKER_19
transcript.pyannote[3789].start 27458.49096875
transcript.pyannote[3789].end 27461.84909375
transcript.pyannote[3790].speaker SPEAKER_06
transcript.pyannote[3790].start 27462.05159375
transcript.pyannote[3790].end 27465.25784375
transcript.pyannote[3791].speaker SPEAKER_00
transcript.pyannote[3791].start 27465.64596875
transcript.pyannote[3791].end 27468.53159375
transcript.pyannote[3792].speaker SPEAKER_06
transcript.pyannote[3792].start 27468.53159375
transcript.pyannote[3792].end 27469.78034375
transcript.pyannote[3793].speaker SPEAKER_06
transcript.pyannote[3793].start 27470.13471875
transcript.pyannote[3793].end 27484.84971875
transcript.pyannote[3794].speaker SPEAKER_19
transcript.pyannote[3794].start 27485.98034375
transcript.pyannote[3794].end 27487.97159375
transcript.pyannote[3795].speaker SPEAKER_06
transcript.pyannote[3795].start 27487.46534375
transcript.pyannote[3795].end 27488.03909375
transcript.pyannote[3796].speaker SPEAKER_19
transcript.pyannote[3796].start 27488.03909375
transcript.pyannote[3796].end 27488.08971875
transcript.pyannote[3797].speaker SPEAKER_06
transcript.pyannote[3797].start 27488.08971875
transcript.pyannote[3797].end 27488.30909375
transcript.pyannote[3798].speaker SPEAKER_19
transcript.pyannote[3798].start 27488.30909375
transcript.pyannote[3798].end 27490.40159375
transcript.pyannote[3799].speaker SPEAKER_06
transcript.pyannote[3799].start 27488.61284375
transcript.pyannote[3799].end 27488.96721875
transcript.pyannote[3800].speaker SPEAKER_06
transcript.pyannote[3800].start 27490.40159375
transcript.pyannote[3800].end 27490.60409375
transcript.pyannote[3801].speaker SPEAKER_19
transcript.pyannote[3801].start 27491.02596875
transcript.pyannote[3801].end 27494.35034375
transcript.pyannote[3802].speaker SPEAKER_00
transcript.pyannote[3802].start 27495.93659375
transcript.pyannote[3802].end 27500.15534375
transcript.pyannote[3803].speaker SPEAKER_00
transcript.pyannote[3803].start 27500.18909375
transcript.pyannote[3803].end 27500.20596875
transcript.pyannote[3804].speaker SPEAKER_00
transcript.pyannote[3804].start 27500.25659375
transcript.pyannote[3804].end 27501.01596875
transcript.pyannote[3805].speaker SPEAKER_06
transcript.pyannote[3805].start 27500.56034375
transcript.pyannote[3805].end 27503.34471875
transcript.pyannote[3806].speaker SPEAKER_00
transcript.pyannote[3806].start 27503.49659375
transcript.pyannote[3806].end 27504.00284375
transcript.pyannote[3807].speaker SPEAKER_06
transcript.pyannote[3807].start 27503.69909375
transcript.pyannote[3807].end 27505.40346875
transcript.pyannote[3808].speaker SPEAKER_00
transcript.pyannote[3808].start 27505.84221875
transcript.pyannote[3808].end 27509.11596875
transcript.pyannote[3809].speaker SPEAKER_06
transcript.pyannote[3809].start 27508.72784375
transcript.pyannote[3809].end 27511.05659375
transcript.pyannote[3810].speaker SPEAKER_00
transcript.pyannote[3810].start 27510.70221875
transcript.pyannote[3810].end 27517.89096875
transcript.pyannote[3811].speaker SPEAKER_06
transcript.pyannote[3811].start 27513.43596875
transcript.pyannote[3811].end 27515.89971875
transcript.pyannote[3812].speaker SPEAKER_06
transcript.pyannote[3812].start 27516.87846875
transcript.pyannote[3812].end 27522.80159375
transcript.pyannote[3813].speaker SPEAKER_06
transcript.pyannote[3813].start 27523.18971875
transcript.pyannote[3813].end 27572.02596875
transcript.pyannote[3814].speaker SPEAKER_06
transcript.pyannote[3814].start 27572.31284375
transcript.pyannote[3814].end 27575.58659375
transcript.pyannote[3815].speaker SPEAKER_06
transcript.pyannote[3815].start 27576.32909375
transcript.pyannote[3815].end 27579.26534375
transcript.pyannote[3816].speaker SPEAKER_06
transcript.pyannote[3816].start 27579.80534375
transcript.pyannote[3816].end 27585.15471875
transcript.pyannote[3817].speaker SPEAKER_00
transcript.pyannote[3817].start 27585.28971875
transcript.pyannote[3817].end 27596.61284375
transcript.pyannote[3818].speaker SPEAKER_06
transcript.pyannote[3818].start 27592.59659375
transcript.pyannote[3818].end 27593.33909375
transcript.pyannote[3819].speaker SPEAKER_06
transcript.pyannote[3819].start 27595.51596875
transcript.pyannote[3819].end 27595.81971875
transcript.pyannote[3820].speaker SPEAKER_06
transcript.pyannote[3820].start 27597.20346875
transcript.pyannote[3820].end 27598.30034375
transcript.pyannote[3821].speaker SPEAKER_06
transcript.pyannote[3821].start 27598.53659375
transcript.pyannote[3821].end 27603.44721875
transcript.pyannote[3822].speaker SPEAKER_00
transcript.pyannote[3822].start 27602.87346875
transcript.pyannote[3822].end 27606.34971875
transcript.pyannote[3823].speaker SPEAKER_06
transcript.pyannote[3823].start 27606.51846875
transcript.pyannote[3823].end 27608.88096875
transcript.pyannote[3824].speaker SPEAKER_00
transcript.pyannote[3824].start 27609.74159375
transcript.pyannote[3824].end 27615.39471875
transcript.pyannote[3825].speaker SPEAKER_00
transcript.pyannote[3825].start 27615.78284375
transcript.pyannote[3825].end 27623.61284375
transcript.pyannote[3826].speaker SPEAKER_22
transcript.pyannote[3826].start 27619.20846875
transcript.pyannote[3826].end 27619.41096875
transcript.pyannote[3827].speaker SPEAKER_22
transcript.pyannote[3827].start 27620.91284375
transcript.pyannote[3827].end 27621.08159375
transcript.pyannote[3828].speaker SPEAKER_22
transcript.pyannote[3828].start 27621.25034375
transcript.pyannote[3828].end 27622.38096875
transcript.pyannote[3829].speaker SPEAKER_00
transcript.pyannote[3829].start 27624.08534375
transcript.pyannote[3829].end 27625.03034375
transcript.pyannote[3830].speaker SPEAKER_00
transcript.pyannote[3830].start 27625.31721875
transcript.pyannote[3830].end 27627.54471875
transcript.pyannote[3831].speaker SPEAKER_00
transcript.pyannote[3831].start 27628.00034375
transcript.pyannote[3831].end 27634.93596875
transcript.pyannote[3832].speaker SPEAKER_06
transcript.pyannote[3832].start 27634.93596875
transcript.pyannote[3832].end 27638.22659375
transcript.pyannote[3833].speaker SPEAKER_06
transcript.pyannote[3833].start 27638.56409375
transcript.pyannote[3833].end 27665.31096875
transcript.pyannote[3834].speaker SPEAKER_00
transcript.pyannote[3834].start 27666.07034375
transcript.pyannote[3834].end 27669.66471875
transcript.pyannote[3835].speaker SPEAKER_00
transcript.pyannote[3835].start 27670.32284375
transcript.pyannote[3835].end 27683.65409375
transcript.pyannote[3836].speaker SPEAKER_00
transcript.pyannote[3836].start 27684.17721875
transcript.pyannote[3836].end 27684.56534375
transcript.pyannote[3837].speaker SPEAKER_00
transcript.pyannote[3837].start 27685.02096875
transcript.pyannote[3837].end 27694.82534375
transcript.pyannote[3838].speaker SPEAKER_06
transcript.pyannote[3838].start 27686.60721875
transcript.pyannote[3838].end 27688.95284375
transcript.pyannote[3839].speaker SPEAKER_06
transcript.pyannote[3839].start 27693.39096875
transcript.pyannote[3839].end 27695.66909375
transcript.pyannote[3840].speaker SPEAKER_00
transcript.pyannote[3840].start 27696.05721875
transcript.pyannote[3840].end 27700.93409375
transcript.pyannote[3841].speaker SPEAKER_06
transcript.pyannote[3841].start 27700.44471875
transcript.pyannote[3841].end 27712.94909375
transcript.pyannote[3842].speaker SPEAKER_06
transcript.pyannote[3842].start 27713.20221875
transcript.pyannote[3842].end 27715.27784375
transcript.pyannote[3843].speaker SPEAKER_06
transcript.pyannote[3843].start 27715.66596875
transcript.pyannote[3843].end 27719.68221875
transcript.pyannote[3844].speaker SPEAKER_06
transcript.pyannote[3844].start 27719.88471875
transcript.pyannote[3844].end 27720.77909375
transcript.pyannote[3845].speaker SPEAKER_00
transcript.pyannote[3845].start 27719.91846875
transcript.pyannote[3845].end 27735.20721875
transcript.pyannote[3846].speaker SPEAKER_00
transcript.pyannote[3846].start 27735.91596875
transcript.pyannote[3846].end 27755.64284375
transcript.pyannote[3847].speaker SPEAKER_17
transcript.pyannote[3847].start 27736.03409375
transcript.pyannote[3847].end 27737.08034375
transcript.pyannote[3848].speaker SPEAKER_01
transcript.pyannote[3848].start 27737.08034375
transcript.pyannote[3848].end 27737.09721875
transcript.pyannote[3849].speaker SPEAKER_17
transcript.pyannote[3849].start 27743.86409375
transcript.pyannote[3849].end 27743.96534375
transcript.pyannote[3850].speaker SPEAKER_01
transcript.pyannote[3850].start 27743.96534375
transcript.pyannote[3850].end 27744.45471875
transcript.pyannote[3851].speaker SPEAKER_06
transcript.pyannote[3851].start 27755.64284375
transcript.pyannote[3851].end 27785.83221875
transcript.pyannote[3852].speaker SPEAKER_06
transcript.pyannote[3852].start 27786.30471875
transcript.pyannote[3852].end 27792.14346875
transcript.pyannote[3853].speaker SPEAKER_00
transcript.pyannote[3853].start 27792.80159375
transcript.pyannote[3853].end 27795.50159375
transcript.pyannote[3854].speaker SPEAKER_00
transcript.pyannote[3854].start 27796.51409375
transcript.pyannote[3854].end 27809.11971875
transcript.pyannote[3855].speaker SPEAKER_06
transcript.pyannote[3855].start 27807.80346875
transcript.pyannote[3855].end 27810.18284375
transcript.pyannote[3856].speaker SPEAKER_00
transcript.pyannote[3856].start 27809.18721875
transcript.pyannote[3856].end 27823.39596875
transcript.pyannote[3857].speaker SPEAKER_06
transcript.pyannote[3857].start 27822.26534375
transcript.pyannote[3857].end 27857.34846875
transcript.pyannote[3858].speaker SPEAKER_06
transcript.pyannote[3858].start 27857.92221875
transcript.pyannote[3858].end 27864.80721875
transcript.pyannote[3859].speaker SPEAKER_00
transcript.pyannote[3859].start 27865.12784375
transcript.pyannote[3859].end 27875.35409375
transcript.pyannote[3860].speaker SPEAKER_00
transcript.pyannote[3860].start 27875.40471875
transcript.pyannote[3860].end 27889.93409375
transcript.pyannote[3861].speaker SPEAKER_17
transcript.pyannote[3861].start 27880.82159375
transcript.pyannote[3861].end 27882.79596875
transcript.pyannote[3862].speaker SPEAKER_00
transcript.pyannote[3862].start 27890.92971875
transcript.pyannote[3862].end 27894.52409375
transcript.pyannote[3863].speaker SPEAKER_00
transcript.pyannote[3863].start 27894.72659375
transcript.pyannote[3863].end 27900.21096875
transcript.pyannote[3864].speaker SPEAKER_06
transcript.pyannote[3864].start 27897.76409375
transcript.pyannote[3864].end 27898.00034375
transcript.pyannote[3865].speaker SPEAKER_06
transcript.pyannote[3865].start 27900.27846875
transcript.pyannote[3865].end 27908.04096875
transcript.pyannote[3866].speaker SPEAKER_00
transcript.pyannote[3866].start 27908.36159375
transcript.pyannote[3866].end 27909.71159375
transcript.pyannote[3867].speaker SPEAKER_06
transcript.pyannote[3867].start 27910.01534375
transcript.pyannote[3867].end 27912.12471875
transcript.pyannote[3868].speaker SPEAKER_00
transcript.pyannote[3868].start 27912.73221875
transcript.pyannote[3868].end 27913.12034375
transcript.pyannote[3869].speaker SPEAKER_00
transcript.pyannote[3869].start 27913.28909375
transcript.pyannote[3869].end 27914.01471875
transcript.pyannote[3870].speaker SPEAKER_06
transcript.pyannote[3870].start 27913.55909375
transcript.pyannote[3870].end 27917.64284375
transcript.pyannote[3871].speaker SPEAKER_00
transcript.pyannote[3871].start 27916.63034375
transcript.pyannote[3871].end 27920.22471875
transcript.pyannote[3872].speaker SPEAKER_06
transcript.pyannote[3872].start 27919.98846875
transcript.pyannote[3872].end 27923.26221875
transcript.pyannote[3873].speaker SPEAKER_06
transcript.pyannote[3873].start 27925.23659375
transcript.pyannote[3873].end 27926.09721875
transcript.pyannote[3874].speaker SPEAKER_06
transcript.pyannote[3874].start 27927.48096875
transcript.pyannote[3874].end 27932.23971875
transcript.pyannote[3875].speaker SPEAKER_06
transcript.pyannote[3875].start 27932.76284375
transcript.pyannote[3875].end 27957.24846875
transcript.pyannote[3876].speaker SPEAKER_00
transcript.pyannote[3876].start 27954.61596875
transcript.pyannote[3876].end 27955.96596875
transcript.pyannote[3877].speaker SPEAKER_00
transcript.pyannote[3877].start 27956.48909375
transcript.pyannote[3877].end 27961.33221875
transcript.pyannote[3878].speaker SPEAKER_06
transcript.pyannote[3878].start 27960.94409375
transcript.pyannote[3878].end 27970.00596875
transcript.pyannote[3879].speaker SPEAKER_00
transcript.pyannote[3879].start 27968.38596875
transcript.pyannote[3879].end 27974.86596875
transcript.pyannote[3880].speaker SPEAKER_06
transcript.pyannote[3880].start 27973.16159375
transcript.pyannote[3880].end 27976.75596875
transcript.pyannote[3881].speaker SPEAKER_00
transcript.pyannote[3881].start 27976.03034375
transcript.pyannote[3881].end 27980.41784375
transcript.pyannote[3882].speaker SPEAKER_06
transcript.pyannote[3882].start 27978.67971875
transcript.pyannote[3882].end 27985.00784375
transcript.pyannote[3883].speaker SPEAKER_06
transcript.pyannote[3883].start 27985.34534375
transcript.pyannote[3883].end 27996.48284375
transcript.pyannote[3884].speaker SPEAKER_12
transcript.pyannote[3884].start 28010.42159375
transcript.pyannote[3884].end 28014.47159375
transcript.pyannote[3885].speaker SPEAKER_12
transcript.pyannote[3885].start 28016.22659375
transcript.pyannote[3885].end 28019.55096875
transcript.pyannote[3886].speaker SPEAKER_05
transcript.pyannote[3886].start 28027.88721875
transcript.pyannote[3886].end 28029.35534375
transcript.pyannote[3887].speaker SPEAKER_12
transcript.pyannote[3887].start 28029.94596875
transcript.pyannote[3887].end 28031.49846875
transcript.pyannote[3888].speaker SPEAKER_05
transcript.pyannote[3888].start 28041.21846875
transcript.pyannote[3888].end 28056.94596875
transcript.pyannote[3889].speaker SPEAKER_06
transcript.pyannote[3889].start 28041.35346875
transcript.pyannote[3889].end 28041.37034375
transcript.pyannote[3890].speaker SPEAKER_01
transcript.pyannote[3890].start 28041.37034375
transcript.pyannote[3890].end 28042.11284375
transcript.pyannote[3891].speaker SPEAKER_06
transcript.pyannote[3891].start 28042.11284375
transcript.pyannote[3891].end 28042.45034375
transcript.pyannote[3892].speaker SPEAKER_01
transcript.pyannote[3892].start 28042.45034375
transcript.pyannote[3892].end 28042.46721875
transcript.pyannote[3893].speaker SPEAKER_05
transcript.pyannote[3893].start 28057.21596875
transcript.pyannote[3893].end 28064.92784375
transcript.pyannote[3894].speaker SPEAKER_17
transcript.pyannote[3894].start 28057.28346875
transcript.pyannote[3894].end 28057.30034375
transcript.pyannote[3895].speaker SPEAKER_04
transcript.pyannote[3895].start 28057.30034375
transcript.pyannote[3895].end 28057.33409375
transcript.pyannote[3896].speaker SPEAKER_00
transcript.pyannote[3896].start 28057.33409375
transcript.pyannote[3896].end 28057.57034375
transcript.pyannote[3897].speaker SPEAKER_04
transcript.pyannote[3897].start 28057.57034375
transcript.pyannote[3897].end 28057.72221875
transcript.pyannote[3898].speaker SPEAKER_00
transcript.pyannote[3898].start 28057.72221875
transcript.pyannote[3898].end 28057.75596875
transcript.pyannote[3899].speaker SPEAKER_05
transcript.pyannote[3899].start 28065.29909375
transcript.pyannote[3899].end 28066.27784375
transcript.pyannote[3900].speaker SPEAKER_05
transcript.pyannote[3900].start 28066.36221875
transcript.pyannote[3900].end 28085.48159375
transcript.pyannote[3901].speaker SPEAKER_19
transcript.pyannote[3901].start 28085.88659375
transcript.pyannote[3901].end 28088.01284375
transcript.pyannote[3902].speaker SPEAKER_19
transcript.pyannote[3902].start 28088.38409375
transcript.pyannote[3902].end 28090.37534375
transcript.pyannote[3903].speaker SPEAKER_19
transcript.pyannote[3903].start 28091.05034375
transcript.pyannote[3903].end 28095.10034375
transcript.pyannote[3904].speaker SPEAKER_19
transcript.pyannote[3904].start 28095.52221875
transcript.pyannote[3904].end 28098.32346875
transcript.pyannote[3905].speaker SPEAKER_19
transcript.pyannote[3905].start 28098.44159375
transcript.pyannote[3905].end 28099.77471875
transcript.pyannote[3906].speaker SPEAKER_19
transcript.pyannote[3906].start 28100.04471875
transcript.pyannote[3906].end 28101.52971875
transcript.pyannote[3907].speaker SPEAKER_19
transcript.pyannote[3907].start 28101.90096875
transcript.pyannote[3907].end 28108.68471875
transcript.pyannote[3908].speaker SPEAKER_05
transcript.pyannote[3908].start 28108.80284375
transcript.pyannote[3908].end 28115.85659375
transcript.pyannote[3909].speaker SPEAKER_05
transcript.pyannote[3909].start 28116.51471875
transcript.pyannote[3909].end 28117.40909375
transcript.pyannote[3910].speaker SPEAKER_05
transcript.pyannote[3910].start 28118.10096875
transcript.pyannote[3910].end 28118.55659375
transcript.pyannote[3911].speaker SPEAKER_00
transcript.pyannote[3911].start 28118.92784375
transcript.pyannote[3911].end 28124.90159375
transcript.pyannote[3912].speaker SPEAKER_05
transcript.pyannote[3912].start 28119.75471875
transcript.pyannote[3912].end 28120.31159375
transcript.pyannote[3913].speaker SPEAKER_05
transcript.pyannote[3913].start 28125.13784375
transcript.pyannote[3913].end 28133.69346875
transcript.pyannote[3914].speaker SPEAKER_05
transcript.pyannote[3914].start 28134.01409375
transcript.pyannote[3914].end 28273.01346875
transcript.pyannote[3915].speaker SPEAKER_05
transcript.pyannote[3915].start 28273.58721875
transcript.pyannote[3915].end 28281.90659375
transcript.pyannote[3916].speaker SPEAKER_05
transcript.pyannote[3916].start 28282.58159375
transcript.pyannote[3916].end 28288.47096875
transcript.pyannote[3917].speaker SPEAKER_05
transcript.pyannote[3917].start 28288.87596875
transcript.pyannote[3917].end 28306.99971875
transcript.pyannote[3918].speaker SPEAKER_05
transcript.pyannote[3918].start 28307.35409375
transcript.pyannote[3918].end 28346.03159375
transcript.pyannote[3919].speaker SPEAKER_05
transcript.pyannote[3919].start 28347.04409375
transcript.pyannote[3919].end 28373.65596875
transcript.pyannote[3920].speaker SPEAKER_05
transcript.pyannote[3920].start 28373.77409375
transcript.pyannote[3920].end 28395.05346875
transcript.pyannote[3921].speaker SPEAKER_05
transcript.pyannote[3921].start 28395.35721875
transcript.pyannote[3921].end 28396.42034375
transcript.pyannote[3922].speaker SPEAKER_05
transcript.pyannote[3922].start 28396.74096875
transcript.pyannote[3922].end 28430.13659375
transcript.pyannote[3923].speaker SPEAKER_05
transcript.pyannote[3923].start 28430.47409375
transcript.pyannote[3923].end 28455.31409375
transcript.pyannote[3924].speaker SPEAKER_05
transcript.pyannote[3924].start 28455.83721875
transcript.pyannote[3924].end 28480.15409375
transcript.pyannote[3925].speaker SPEAKER_05
transcript.pyannote[3925].start 28480.37346875
transcript.pyannote[3925].end 28481.68971875
transcript.pyannote[3926].speaker SPEAKER_05
transcript.pyannote[3926].start 28481.92596875
transcript.pyannote[3926].end 28482.53346875
transcript.pyannote[3927].speaker SPEAKER_05
transcript.pyannote[3927].start 28483.10721875
transcript.pyannote[3927].end 28496.28659375
transcript.pyannote[3928].speaker SPEAKER_05
transcript.pyannote[3928].start 28496.52284375
transcript.pyannote[3928].end 28499.08784375
transcript.pyannote[3929].speaker SPEAKER_17
transcript.pyannote[3929].start 28498.36221875
transcript.pyannote[3929].end 28498.58159375
transcript.pyannote[3930].speaker SPEAKER_05
transcript.pyannote[3930].start 28499.30721875
transcript.pyannote[3930].end 28507.10346875
transcript.pyannote[3931].speaker SPEAKER_05
transcript.pyannote[3931].start 28507.44096875
transcript.pyannote[3931].end 28515.89534375
transcript.pyannote[3932].speaker SPEAKER_05
transcript.pyannote[3932].start 28516.85721875
transcript.pyannote[3932].end 28522.69596875
transcript.pyannote[3933].speaker SPEAKER_05
transcript.pyannote[3933].start 28522.83096875
transcript.pyannote[3933].end 28526.67846875
transcript.pyannote[3934].speaker SPEAKER_05
transcript.pyannote[3934].start 28526.89784375
transcript.pyannote[3934].end 28531.69034375
transcript.pyannote[3935].speaker SPEAKER_05
transcript.pyannote[3935].start 28532.51721875
transcript.pyannote[3935].end 28537.32659375
transcript.pyannote[3936].speaker SPEAKER_05
transcript.pyannote[3936].start 28537.73159375
transcript.pyannote[3936].end 28538.15346875
transcript.pyannote[3937].speaker SPEAKER_19
transcript.pyannote[3937].start 28538.62596875
transcript.pyannote[3937].end 28541.83221875
transcript.pyannote[3938].speaker SPEAKER_19
transcript.pyannote[3938].start 28541.96721875
transcript.pyannote[3938].end 28544.95409375
transcript.pyannote[3939].speaker SPEAKER_19
transcript.pyannote[3939].start 28545.54471875
transcript.pyannote[3939].end 28546.01721875
transcript.pyannote[3940].speaker SPEAKER_19
transcript.pyannote[3940].start 28546.37159375
transcript.pyannote[3940].end 28551.14721875
transcript.pyannote[3941].speaker SPEAKER_19
transcript.pyannote[3941].start 28551.45096875
transcript.pyannote[3941].end 28551.90659375
transcript.pyannote[3942].speaker SPEAKER_19
transcript.pyannote[3942].start 28552.02471875
transcript.pyannote[3942].end 28553.74596875
transcript.pyannote[3943].speaker SPEAKER_19
transcript.pyannote[3943].start 28554.91034375
transcript.pyannote[3943].end 28558.79159375
transcript.pyannote[3944].speaker SPEAKER_19
transcript.pyannote[3944].start 28559.02784375
transcript.pyannote[3944].end 28561.69409375
transcript.pyannote[3945].speaker SPEAKER_19
transcript.pyannote[3945].start 28561.89659375
transcript.pyannote[3945].end 28565.55846875
transcript.pyannote[3946].speaker SPEAKER_05
transcript.pyannote[3946].start 28563.71909375
transcript.pyannote[3946].end 28570.85721875
transcript.pyannote[3947].speaker SPEAKER_19
transcript.pyannote[3947].start 28567.49909375
transcript.pyannote[3947].end 28567.73534375
transcript.pyannote[3948].speaker SPEAKER_05
transcript.pyannote[3948].start 28570.92471875
transcript.pyannote[3948].end 28573.03409375
transcript.pyannote[3949].speaker SPEAKER_19
transcript.pyannote[3949].start 28573.03409375
transcript.pyannote[3949].end 28577.16846875
transcript.pyannote[3950].speaker SPEAKER_19
transcript.pyannote[3950].start 28577.25284375
transcript.pyannote[3950].end 28578.94034375
transcript.pyannote[3951].speaker SPEAKER_05
transcript.pyannote[3951].start 28578.31596875
transcript.pyannote[3951].end 28580.03721875
transcript.pyannote[3952].speaker SPEAKER_19
transcript.pyannote[3952].start 28579.02471875
transcript.pyannote[3952].end 28584.84659375
transcript.pyannote[3953].speaker SPEAKER_05
transcript.pyannote[3953].start 28584.72846875
transcript.pyannote[3953].end 28588.39034375
transcript.pyannote[3954].speaker SPEAKER_05
transcript.pyannote[3954].start 28588.98096875
transcript.pyannote[3954].end 28601.56971875
transcript.pyannote[3955].speaker SPEAKER_19
transcript.pyannote[3955].start 28601.97471875
transcript.pyannote[3955].end 28610.09159375
transcript.pyannote[3956].speaker SPEAKER_05
transcript.pyannote[3956].start 28609.23096875
transcript.pyannote[3956].end 28617.28034375
transcript.pyannote[3957].speaker SPEAKER_19
transcript.pyannote[3957].start 28611.13784375
transcript.pyannote[3957].end 28611.94784375
transcript.pyannote[3958].speaker SPEAKER_05
transcript.pyannote[3958].start 28617.61784375
transcript.pyannote[3958].end 28622.42721875
transcript.pyannote[3959].speaker SPEAKER_05
transcript.pyannote[3959].start 28622.59596875
transcript.pyannote[3959].end 28638.03659375
transcript.pyannote[3960].speaker SPEAKER_19
transcript.pyannote[3960].start 28636.02846875
transcript.pyannote[3960].end 28636.53471875
transcript.pyannote[3961].speaker SPEAKER_05
transcript.pyannote[3961].start 28638.30659375
transcript.pyannote[3961].end 28640.38221875
transcript.pyannote[3962].speaker SPEAKER_19
transcript.pyannote[3962].start 28639.36971875
transcript.pyannote[3962].end 28644.04409375
transcript.pyannote[3963].speaker SPEAKER_05
transcript.pyannote[3963].start 28644.04409375
transcript.pyannote[3963].end 28644.19596875
transcript.pyannote[3964].speaker SPEAKER_04
transcript.pyannote[3964].start 28644.19596875
transcript.pyannote[3964].end 28648.48221875
transcript.pyannote[3965].speaker SPEAKER_05
transcript.pyannote[3965].start 28645.71471875
transcript.pyannote[3965].end 28645.73159375
transcript.pyannote[3966].speaker SPEAKER_19
transcript.pyannote[3966].start 28645.73159375
transcript.pyannote[3966].end 28649.00534375
transcript.pyannote[3967].speaker SPEAKER_04
transcript.pyannote[3967].start 28648.90409375
transcript.pyannote[3967].end 28687.69971875
transcript.pyannote[3968].speaker SPEAKER_07
transcript.pyannote[3968].start 28649.00534375
transcript.pyannote[3968].end 28649.02221875
transcript.pyannote[3969].speaker SPEAKER_05
transcript.pyannote[3969].start 28660.73346875
transcript.pyannote[3969].end 28664.02409375
transcript.pyannote[3970].speaker SPEAKER_24
transcript.pyannote[3970].start 28664.02409375
transcript.pyannote[3970].end 28664.47971875
transcript.pyannote[3971].speaker SPEAKER_05
transcript.pyannote[3971].start 28664.47971875
transcript.pyannote[3971].end 28664.54721875
transcript.pyannote[3972].speaker SPEAKER_24
transcript.pyannote[3972].start 28664.54721875
transcript.pyannote[3972].end 28664.59784375
transcript.pyannote[3973].speaker SPEAKER_05
transcript.pyannote[3973].start 28684.78034375
transcript.pyannote[3973].end 28709.72159375
transcript.pyannote[3974].speaker SPEAKER_19
transcript.pyannote[3974].start 28709.72159375
transcript.pyannote[3974].end 28715.00346875
transcript.pyannote[3975].speaker SPEAKER_05
transcript.pyannote[3975].start 28713.28221875
transcript.pyannote[3975].end 28728.72284375
transcript.pyannote[3976].speaker SPEAKER_05
transcript.pyannote[3976].start 28728.84096875
transcript.pyannote[3976].end 28732.03034375
transcript.pyannote[3977].speaker SPEAKER_04
transcript.pyannote[3977].start 28732.03034375
transcript.pyannote[3977].end 28737.17721875
transcript.pyannote[3978].speaker SPEAKER_04
transcript.pyannote[3978].start 28737.21096875
transcript.pyannote[3978].end 28742.22284375
transcript.pyannote[3979].speaker SPEAKER_05
transcript.pyannote[3979].start 28741.27784375
transcript.pyannote[3979].end 28745.44596875
transcript.pyannote[3980].speaker SPEAKER_19
transcript.pyannote[3980].start 28746.96471875
transcript.pyannote[3980].end 28753.02284375
transcript.pyannote[3981].speaker SPEAKER_05
transcript.pyannote[3981].start 28748.51721875
transcript.pyannote[3981].end 28748.60159375
transcript.pyannote[3982].speaker SPEAKER_06
transcript.pyannote[3982].start 28748.60159375
transcript.pyannote[3982].end 28748.61846875
transcript.pyannote[3983].speaker SPEAKER_05
transcript.pyannote[3983].start 28748.61846875
transcript.pyannote[3983].end 28748.70284375
transcript.pyannote[3984].speaker SPEAKER_06
transcript.pyannote[3984].start 28748.70284375
transcript.pyannote[3984].end 28748.75346875
transcript.pyannote[3985].speaker SPEAKER_05
transcript.pyannote[3985].start 28748.75346875
transcript.pyannote[3985].end 28748.97284375
transcript.pyannote[3986].speaker SPEAKER_06
transcript.pyannote[3986].start 28748.97284375
transcript.pyannote[3986].end 28749.15846875
transcript.pyannote[3987].speaker SPEAKER_05
transcript.pyannote[3987].start 28749.15846875
transcript.pyannote[3987].end 28749.22596875
transcript.pyannote[3988].speaker SPEAKER_06
transcript.pyannote[3988].start 28749.22596875
transcript.pyannote[3988].end 28749.44534375
transcript.pyannote[3989].speaker SPEAKER_05
transcript.pyannote[3989].start 28749.44534375
transcript.pyannote[3989].end 28749.66471875
transcript.pyannote[3990].speaker SPEAKER_06
transcript.pyannote[3990].start 28749.66471875
transcript.pyannote[3990].end 28749.68159375
transcript.pyannote[3991].speaker SPEAKER_05
transcript.pyannote[3991].start 28749.68159375
transcript.pyannote[3991].end 28749.71534375
transcript.pyannote[3992].speaker SPEAKER_06
transcript.pyannote[3992].start 28749.71534375
transcript.pyannote[3992].end 28750.03596875
transcript.pyannote[3993].speaker SPEAKER_05
transcript.pyannote[3993].start 28750.03596875
transcript.pyannote[3993].end 28750.33971875
transcript.pyannote[3994].speaker SPEAKER_06
transcript.pyannote[3994].start 28750.33971875
transcript.pyannote[3994].end 28750.59284375
transcript.pyannote[3995].speaker SPEAKER_05
transcript.pyannote[3995].start 28750.59284375
transcript.pyannote[3995].end 28751.45346875
transcript.pyannote[3996].speaker SPEAKER_06
transcript.pyannote[3996].start 28751.45346875
transcript.pyannote[3996].end 28751.70659375
transcript.pyannote[3997].speaker SPEAKER_05
transcript.pyannote[3997].start 28751.70659375
transcript.pyannote[3997].end 28755.38534375
transcript.pyannote[3998].speaker SPEAKER_19
transcript.pyannote[3998].start 28755.85784375
transcript.pyannote[3998].end 28756.53284375
transcript.pyannote[3999].speaker SPEAKER_05
transcript.pyannote[3999].start 28756.16159375
transcript.pyannote[3999].end 28757.03909375
transcript.pyannote[4000].speaker SPEAKER_19
transcript.pyannote[4000].start 28757.03909375
transcript.pyannote[4000].end 28757.05596875
transcript.pyannote[4001].speaker SPEAKER_05
transcript.pyannote[4001].start 28757.05596875
transcript.pyannote[4001].end 28757.08971875
transcript.pyannote[4002].speaker SPEAKER_19
transcript.pyannote[4002].start 28757.08971875
transcript.pyannote[4002].end 28757.88284375
transcript.pyannote[4003].speaker SPEAKER_19
transcript.pyannote[4003].start 28758.10221875
transcript.pyannote[4003].end 28764.80159375
transcript.pyannote[4004].speaker SPEAKER_05
transcript.pyannote[4004].start 28758.25409375
transcript.pyannote[4004].end 28759.23284375
transcript.pyannote[4005].speaker SPEAKER_05
transcript.pyannote[4005].start 28763.14784375
transcript.pyannote[4005].end 28766.94471875
transcript.pyannote[4006].speaker SPEAKER_19
transcript.pyannote[4006].start 28767.67034375
transcript.pyannote[4006].end 28771.14659375
transcript.pyannote[4007].speaker SPEAKER_05
transcript.pyannote[4007].start 28771.61909375
transcript.pyannote[4007].end 28772.27721875
transcript.pyannote[4008].speaker SPEAKER_05
transcript.pyannote[4008].start 28773.35721875
transcript.pyannote[4008].end 28773.99846875
transcript.pyannote[4009].speaker SPEAKER_05
transcript.pyannote[4009].start 28774.25159375
transcript.pyannote[4009].end 28774.89284375
transcript.pyannote[4010].speaker SPEAKER_19
transcript.pyannote[4010].start 28775.46659375
transcript.pyannote[4010].end 28781.49096875
transcript.pyannote[4011].speaker SPEAKER_05
transcript.pyannote[4011].start 28781.79471875
transcript.pyannote[4011].end 28809.90846875
transcript.pyannote[4012].speaker SPEAKER_19
transcript.pyannote[4012].start 28783.88721875
transcript.pyannote[4012].end 28784.25846875
transcript.pyannote[4013].speaker SPEAKER_19
transcript.pyannote[4013].start 28785.20346875
transcript.pyannote[4013].end 28787.04284375
transcript.pyannote[4014].speaker SPEAKER_00
transcript.pyannote[4014].start 28789.60784375
transcript.pyannote[4014].end 28789.82721875
transcript.pyannote[4015].speaker SPEAKER_17
transcript.pyannote[4015].start 28789.82721875
transcript.pyannote[4015].end 28789.86096875
transcript.pyannote[4016].speaker SPEAKER_00
transcript.pyannote[4016].start 28789.86096875
transcript.pyannote[4016].end 28790.02971875
transcript.pyannote[4017].speaker SPEAKER_17
transcript.pyannote[4017].start 28790.02971875
transcript.pyannote[4017].end 28790.04659375
transcript.pyannote[4018].speaker SPEAKER_00
transcript.pyannote[4018].start 28790.04659375
transcript.pyannote[4018].end 28790.36721875
transcript.pyannote[4019].speaker SPEAKER_17
transcript.pyannote[4019].start 28790.36721875
transcript.pyannote[4019].end 28790.43471875
transcript.pyannote[4020].speaker SPEAKER_00
transcript.pyannote[4020].start 28790.43471875
transcript.pyannote[4020].end 28790.46846875
transcript.pyannote[4021].speaker SPEAKER_05
transcript.pyannote[4021].start 28810.31346875
transcript.pyannote[4021].end 28811.51159375
transcript.pyannote[4022].speaker SPEAKER_04
transcript.pyannote[4022].start 28811.51159375
transcript.pyannote[4022].end 28823.83034375
transcript.pyannote[4023].speaker SPEAKER_05
transcript.pyannote[4023].start 28812.03471875
transcript.pyannote[4023].end 28812.96284375
transcript.pyannote[4024].speaker SPEAKER_05
transcript.pyannote[4024].start 28816.16909375
transcript.pyannote[4024].end 28817.72159375
transcript.pyannote[4025].speaker SPEAKER_06
transcript.pyannote[4025].start 28820.47221875
transcript.pyannote[4025].end 28821.02909375
transcript.pyannote[4026].speaker SPEAKER_05
transcript.pyannote[4026].start 28821.02909375
transcript.pyannote[4026].end 28821.09659375
transcript.pyannote[4027].speaker SPEAKER_06
transcript.pyannote[4027].start 28821.09659375
transcript.pyannote[4027].end 28822.02471875
transcript.pyannote[4028].speaker SPEAKER_05
transcript.pyannote[4028].start 28822.02471875
transcript.pyannote[4028].end 28822.31159375
transcript.pyannote[4029].speaker SPEAKER_04
transcript.pyannote[4029].start 28824.31971875
transcript.pyannote[4029].end 28824.35346875
transcript.pyannote[4030].speaker SPEAKER_05
transcript.pyannote[4030].start 28824.35346875
transcript.pyannote[4030].end 28824.77534375
transcript.pyannote[4031].speaker SPEAKER_04
transcript.pyannote[4031].start 28824.77534375
transcript.pyannote[4031].end 28825.55159375
transcript.pyannote[4032].speaker SPEAKER_05
transcript.pyannote[4032].start 28824.82596875
transcript.pyannote[4032].end 28826.76659375
transcript.pyannote[4033].speaker SPEAKER_19
transcript.pyannote[4033].start 28827.39096875
transcript.pyannote[4033].end 28831.66034375
transcript.pyannote[4034].speaker SPEAKER_05
transcript.pyannote[4034].start 28830.22596875
transcript.pyannote[4034].end 28832.11596875
transcript.pyannote[4035].speaker SPEAKER_19
transcript.pyannote[4035].start 28832.11596875
transcript.pyannote[4035].end 28832.21721875
transcript.pyannote[4036].speaker SPEAKER_05
transcript.pyannote[4036].start 28832.21721875
transcript.pyannote[4036].end 28832.60534375
transcript.pyannote[4037].speaker SPEAKER_19
transcript.pyannote[4037].start 28832.60534375
transcript.pyannote[4037].end 28839.86159375
transcript.pyannote[4038].speaker SPEAKER_05
transcript.pyannote[4038].start 28832.67284375
transcript.pyannote[4038].end 28833.29721875
transcript.pyannote[4039].speaker SPEAKER_05
transcript.pyannote[4039].start 28834.63034375
transcript.pyannote[4039].end 28835.55846875
transcript.pyannote[4040].speaker SPEAKER_06
transcript.pyannote[4040].start 28838.00534375
transcript.pyannote[4040].end 28838.03909375
transcript.pyannote[4041].speaker SPEAKER_05
transcript.pyannote[4041].start 28838.03909375
transcript.pyannote[4041].end 28839.69284375
transcript.pyannote[4042].speaker SPEAKER_06
transcript.pyannote[4042].start 28839.69284375
transcript.pyannote[4042].end 28839.74346875
transcript.pyannote[4043].speaker SPEAKER_19
transcript.pyannote[4043].start 28840.23284375
transcript.pyannote[4043].end 28843.28721875
transcript.pyannote[4044].speaker SPEAKER_05
transcript.pyannote[4044].start 28840.40159375
transcript.pyannote[4044].end 28841.39721875
transcript.pyannote[4045].speaker SPEAKER_19
transcript.pyannote[4045].start 28843.72596875
transcript.pyannote[4045].end 28843.74284375
transcript.pyannote[4046].speaker SPEAKER_05
transcript.pyannote[4046].start 28843.74284375
transcript.pyannote[4046].end 28845.43034375
transcript.pyannote[4047].speaker SPEAKER_19
transcript.pyannote[4047].start 28843.77659375
transcript.pyannote[4047].end 28845.32909375
transcript.pyannote[4048].speaker SPEAKER_05
transcript.pyannote[4048].start 28845.58221875
transcript.pyannote[4048].end 28848.67034375
transcript.pyannote[4049].speaker SPEAKER_19
transcript.pyannote[4049].start 28847.82659375
transcript.pyannote[4049].end 28851.03284375
transcript.pyannote[4050].speaker SPEAKER_05
transcript.pyannote[4050].start 28849.48034375
transcript.pyannote[4050].end 28854.44159375
transcript.pyannote[4051].speaker SPEAKER_04
transcript.pyannote[4051].start 28851.03284375
transcript.pyannote[4051].end 28851.11721875
transcript.pyannote[4052].speaker SPEAKER_19
transcript.pyannote[4052].start 28851.11721875
transcript.pyannote[4052].end 28851.18471875
transcript.pyannote[4053].speaker SPEAKER_04
transcript.pyannote[4053].start 28851.18471875
transcript.pyannote[4053].end 28851.20159375
transcript.pyannote[4054].speaker SPEAKER_19
transcript.pyannote[4054].start 28851.20159375
transcript.pyannote[4054].end 28851.23534375
transcript.pyannote[4055].speaker SPEAKER_04
transcript.pyannote[4055].start 28851.23534375
transcript.pyannote[4055].end 28851.30284375
transcript.pyannote[4056].speaker SPEAKER_12
transcript.pyannote[4056].start 28851.30284375
transcript.pyannote[4056].end 28851.35346875
transcript.pyannote[4057].speaker SPEAKER_04
transcript.pyannote[4057].start 28851.35346875
transcript.pyannote[4057].end 28851.38721875
transcript.pyannote[4058].speaker SPEAKER_19
transcript.pyannote[4058].start 28854.79596875
transcript.pyannote[4058].end 28854.81284375
transcript.pyannote[4059].speaker SPEAKER_12
transcript.pyannote[4059].start 28854.81284375
transcript.pyannote[4059].end 28855.33596875
transcript.pyannote[4060].speaker SPEAKER_04
transcript.pyannote[4060].start 28855.50471875
transcript.pyannote[4060].end 28856.11221875
transcript.pyannote[4061].speaker SPEAKER_12
transcript.pyannote[4061].start 28856.24721875
transcript.pyannote[4061].end 28860.34784375
transcript.pyannote[4062].speaker SPEAKER_12
transcript.pyannote[4062].start 28865.59596875
transcript.pyannote[4062].end 28869.73034375
transcript.pyannote[4063].speaker SPEAKER_12
transcript.pyannote[4063].start 28870.06784375
transcript.pyannote[4063].end 28875.11346875
transcript.pyannote[4064].speaker SPEAKER_12
transcript.pyannote[4064].start 28875.65346875
transcript.pyannote[4064].end 28878.84284375
transcript.pyannote[4065].speaker SPEAKER_12
transcript.pyannote[4065].start 28879.56846875
transcript.pyannote[4065].end 28883.23034375
transcript.pyannote[4066].speaker SPEAKER_12
transcript.pyannote[4066].start 28883.51721875
transcript.pyannote[4066].end 28888.25909375
transcript.pyannote[4067].speaker SPEAKER_12
transcript.pyannote[4067].start 28888.57971875
transcript.pyannote[4067].end 28890.11534375
transcript.pyannote[4068].speaker SPEAKER_12
transcript.pyannote[4068].start 28890.46971875
transcript.pyannote[4068].end 28896.47721875
transcript.pyannote[4069].speaker SPEAKER_12
transcript.pyannote[4069].start 28896.71346875
transcript.pyannote[4069].end 28897.55721875
transcript.pyannote[4070].speaker SPEAKER_12
transcript.pyannote[4070].start 28897.67534375
transcript.pyannote[4070].end 28900.25721875
transcript.whisperx[0].start 1811.198
transcript.whisperx[0].end 1818.804
transcript.whisperx[0].text 發言會現在繼續開會進行施政報告之質詢今天進行個人質詢、內政組織質詢請麥委員、郁真質詢
transcript.whisperx[1].start 1838.176
transcript.whisperx[1].end 1858.012
transcript.whisperx[1].text 質詢台,那個麥委員,質詢台,請看到副院長太緊張放輕鬆沒關係好
transcript.whisperx[2].start 1862.406
transcript.whisperx[2].end 1875.855
transcript.whisperx[2].text 謝謝副院長我們副院長主持會議和我們的韓院長主持會議都讓人都會稱呼我們是委員這就是我們院長跟副院長主持的風範
transcript.whisperx[3].start 1877.608
transcript.whisperx[3].end 1899.986
transcript.whisperx[3].text 不像昨天我去經濟委員會的民進黨昭偉 邱志偉完全不同昨天我去經濟委員會質詢的時候邱志偉當任會議主持直接交賣陣上台作為主持會議的格調真的高下立判了好
transcript.whisperx[4].start 1901.462
transcript.whisperx[4].end 1907.007
transcript.whisperx[4].text 蔓委員好請教一下我們卓院長不在籍投票的態度如何
transcript.whisperx[5].start 1928.407
transcript.whisperx[5].end 1950.673
transcript.whisperx[5].text 不再投票當然要讓每個國民能夠行使政治的權利公民的權利應該廣泛的來討論實施的可能但應該要克服的是很多技術上現在存在的一些困難如果我們能夠克服技術上的困難也克服政治上的障礙我認為可以往前去做更多的思考
transcript.whisperx[6].start 1951.781
transcript.whisperx[6].end 1978.279
transcript.whisperx[6].text 以你的計畫我們共同去努力來去克服但是技術上跟政治上的障礙還是蠻多的但是我們要努力來想想有沒有好的方法謝謝 謝謝我們卓院長一陣在3個會期以在野黨就是強力推動下好不容易通過了新住民基本法也落實柯文哲對新住民的承諾唯一
transcript.whisperx[7].start 1979.339
transcript.whisperx[7].end 1999.528
transcript.whisperx[7].text 美中不足的地方就是只有專職中央三級行政機關當初我們陳建源院長一句話三級機關已滿不把賴總統的政見當一回事我也委曲求全爭取到了中央三級機關
transcript.whisperx[8].start 2001.388
transcript.whisperx[8].end 2018.777
transcript.whisperx[8].text 內政部長劉世芳部長也說三期機關已經滿了但是很幸運這一屆我們的卓院長很有魄力商任馬上就把體育署升格為體育部
transcript.whisperx[9].start 2019.827
transcript.whisperx[9].end 2019.887
transcript.whisperx[9].text 主席
transcript.whisperx[10].start 2036.86
transcript.whisperx[10].end 2043.744
transcript.whisperx[10].text 首先向委員報告體育署升格這個不是這樣的講法這是一個全新的體育部
transcript.whisperx[11].start 2062.441
transcript.whisperx[11].end 2076.662
transcript.whisperx[11].text 體育部不是由體育署來升格的所以他是一個完全新概念新組織新的政策新的策略新的面對國人的一個全新的體育部所以體育署並沒有升格的問題那體育部
transcript.whisperx[12].start 2077.363
transcript.whisperx[12].end 2077.623
transcript.whisperx[12].text 請部長說明
transcript.whisperx[13].start 2098.735
transcript.whisperx[13].end 2126.45
transcript.whisperx[13].text 謝謝麥委員的關心我想我完全沒有打假球我們在好幾次的這個對談當中都有跟麥委員報告我們根據行政院的組織架構跟中央行政機關基準法的檢討方向確實沒有錯現在署的這樣子的一個成績已經有達到70上限所以我們必須要等這個上限通出來之後馬上可以填補進去成立我們的新住民的這個發展署
transcript.whisperx[14].start 2127.491
transcript.whisperx[14].end 2151.688
transcript.whisperx[14].text 這個不管是行政院的政務委員或者是我們現在在處理這個有關於未來的新住民的發展方向我們的常務次長吳唐安他們都兩周以內都是進行在處理未來有關新住民發展署的一個整個的方向而且我們分成6個重要的任務指標包括原額架構或是未來的發展等等都有包含在內跟麥委員做報告
transcript.whisperx[15].start 2154.431
transcript.whisperx[15].end 2179.044
transcript.whisperx[15].text 好謝謝所以說我們不是升格是直接成立對不對全新的體育部對所以這個我們大家都認同大家也希望說這個部就是即將要成立是最好的所以跟滿的滿邊還有滿也沒有什麼差別我的意思就是說要不要做而已
transcript.whisperx[16].start 2179.804
transcript.whisperx[16].end 2201.693
transcript.whisperx[16].text 所以在我們的奧運過後我們卓院長就是指示下就是要中央行政機關組織基本法可見當初不是滿編可以去修改所以而不是政府我的用意就是重不重視要不要做這個問題所以說我們
transcript.whisperx[17].start 2206.145
transcript.whisperx[17].end 2218.54
transcript.whisperx[17].text 賴清德總統在選舉的時候提出照顧新住民五大政見這個是其中之一而已所以我們成立一個專職機構也是總統府我們總統的政見
transcript.whisperx[18].start 2223.331
transcript.whisperx[18].end 2237.319
transcript.whisperx[18].text 所以我們希望說他跟我們新住民承諾也不是詐騙的不要騙我們新住民的感情我們是主推五大政見其中之一希望就是未來真的去
transcript.whisperx[19].start 2238.447
transcript.whisperx[19].end 2266.838
transcript.whisperx[19].text 成立新住民發展署因為呢我當一天立委我一直盯著這個五大政見我們賴總統就是要跟我們承諾一定要做到沒有的話我每天就會盯著我們就會盯著這件事情希望他的五大政見我們卓院長你要重視也要說執行我們賴總統的政見這個就是要請院長要
transcript.whisperx[20].start 2267.608
transcript.whisperx[20].end 2273.591
transcript.whisperx[20].text 總統在選舉期間提出的政見都會是現在政府必須全面檢視要推動的國家政策之一
transcript.whisperx[21].start 2291.752
transcript.whisperx[21].end 2311.306
transcript.whisperx[21].text 那當然國家政策的推動他雖然全面的檢視他的執行跟實施也是要循序漸進那現在這個都已經那剛剛部長已經說明清楚了都有計畫但什麼時候能夠去實現這樣的一個政策也跟委員想像的過程一樣那這個還要做一些努力我剛剛說過
transcript.whisperx[22].start 2312.527
transcript.whisperx[22].end 2339.552
transcript.whisperx[22].text 體育部升格之後還有很多的體育的教育跟學校相關的設施的維護跟設施的建設都必須要有現在的單位來做處理我們現在思考如何維持現在教育部的工作及未來體育及運動發展部的工作這兩者之間要如何做一個很清楚的界面同時要有相當多的互相的跨部會的配合這個部分還在處理當中所以現在我們在中央組織基礎部
transcript.whisperx[23].start 2340.64
transcript.whisperx[23].end 2341.481
transcript.whisperx[23].text 新住民的專責機構的機關的處理已經有他的構想循序漸進推動
transcript.whisperx[24].start 2358.595
transcript.whisperx[24].end 2360.716
transcript.whisperx[24].text 金管會統計在8月29號到9月4號每日平均我們的民眾被詐騙4億1千
transcript.whisperx[25].start 2389.062
transcript.whisperx[25].end 2403.938
transcript.whisperx[25].text 五百一十三萬元 行政院在5月9號也通過打炸新市法說要完善打炸防護網 使打炸更有成效 讓人民的財產
transcript.whisperx[26].start 2405.399
transcript.whisperx[26].end 2432.064
transcript.whisperx[26].text 保護的最有保障請問的成效在哪裡但是呢我們在10月3號全國放颱風架但是呢全國放颱風架我們是被詐騙只有2億這個代表什麼原因我們警政署有沒有去調查原因放颱風架是全國應用網路的是最高峰的
transcript.whisperx[27].start 2432.484
transcript.whisperx[27].end 2433.566
transcript.whisperx[27].text 這才是我們想要了解的
transcript.whisperx[28].start 2446.598
transcript.whisperx[28].end 2469.398
transcript.whisperx[28].text 好 謝謝委員關心詐騙的事情日前也有委員在關心隨行過這個詐騙的數字那內政部 劉部長他有非常詳實的數字的說明報告我請部長來說明是 謝謝麥委員的關心委員都非常清楚打詐是法在立法院朝野政黨的努力之下我們在7月底公佈出去以後
transcript.whisperx[29].start 2470.598
transcript.whisperx[29].end 2485.308
transcript.whisperx[29].text 打詐新司法對於我們在處理打詐其實成效非常的多您現在引用的數據是8月份跟7月份的比較但是如果你用打詐儀表版每天所發生的打詐的受理次數跟受理的這個財損數的話你會發現它是在下降的
transcript.whisperx[30].start 2488.39
transcript.whisperx[30].end 2516.307
transcript.whisperx[30].text 那當然你剛剛有提到說在颱風天啊颱風天大家都在家裡面用比較多的網路那這個網路的部分呢我們跟數位發展部也好或是跟我們的金管會都會互相結合會推出比較好的執法譬如說網路的這個平台業者要怎麼樣規範他如果他有收受跟這些違法的這個網路平台業者的廣告的時候呢嚴格來講他必須要接受比較大的這個懲罰或者甚至要下架的處分
transcript.whisperx[31].start 2518.128
transcript.whisperx[31].end 2539.568
transcript.whisperx[31].text 執政部會警政署要怎麼樣去做這個部分我們都是有規劃有一個規則但是我在關心的是說我們警政署在2016年有成立打詐中心2022年也有成立就是我們的打詐國家隊
transcript.whisperx[32].start 2541.81
transcript.whisperx[32].end 2569.707
transcript.whisperx[32].text 2023年我們也成立打架的辦公室還有今年也成立瓜布會的打架中心所以我們就是一直在做打架越打越架所以就希望說我們要用好的方式我們要研議要研究說為什麼疫情的時間我們是減少了不是說我們5月份成立我們就8月份一天就被騙那麼多
transcript.whisperx[33].start 2570.547
transcript.whisperx[33].end 2570.567
transcript.whisperx[33].text 委員:
transcript.whisperx[34].start 2586.225
transcript.whisperx[34].end 2613.305
transcript.whisperx[34].text 政績:預算:內容也沒有改部門:改:回頭這樣的兩億的數據跑到哪裡去還有我們行政院目前提出來的就是新世代打詐詐欺涉獵行動網01.5版根本沒有顯示效果真是真的沒有好的落實但是現在打詐網又說2點
transcript.whisperx[35].start 2617.348
transcript.whisperx[35].end 2629.893
transcript.whisperx[35].text 2.0何時可以出爐就是我們一直改變但是詐騙越來越多所以我們就是要演繹要如何做更好才能保護我們人民不要被詐騙
transcript.whisperx[36].start 2631.573
transcript.whisperx[36].end 2653.763
transcript.whisperx[36].text 跟委員補充報告一下在2023年之前我們警政署在計算有關於打炸的這個案件數的時候是一案就算一件但是現在我們的方式是一案如果涉及多人的話就變成是多件也就是計算的標準不一樣所以你會看到好像數目是增加非常的多再來給我們詳細的資料
transcript.whisperx[37].start 2656.324
transcript.whisperx[37].end 2684.754
transcript.whisperx[37].text 我現在就是要跟您解釋一下然後最重要就是我們打造新審法我想要請問第3個就是消因為時間有限因為警消人力的缺口他們也一直希望我們來協助就是何時可以補齊就關於就是我們各種樣式的專案如就是掃黑啊機槍啊機毒啊打架交通安全的執法專案還有一些就是我們的
transcript.whisperx[38].start 2686.237
transcript.whisperx[38].end 2686.297
transcript.whisperx[38].text 議員主席
transcript.whisperx[39].start 2709.022
transcript.whisperx[39].end 2716.144
transcript.whisperx[39].text 是 報告委員那個有關於警消的缺口的部分我們警政署在113年會預計增加1300人那消防署的部分謝謝考試院幫忙我們現在已經要禁用949人那在一定程度上面可以彌補現在的缺口好 謝謝我們的部長再來書面可以給我
transcript.whisperx[40].start 2738.51
transcript.whisperx[40].end 2767.017
transcript.whisperx[40].text 最後因為我時間有限所以我就是最後我在這邊呼應我們的執政黨不管我們來自哪裡在什麼領地我們永遠都是媽媽心目中的寶貝每一個人的生命財產都是很重要如果我們要對別人說我們要全力捍衛中華民國首先請提出
transcript.whisperx[41].start 2767.637
transcript.whisperx[41].end 2769.158
transcript.whisperx[41].text 好,謝謝麥委員,謝謝卓院長下一位請沈伯陽委員質詢
transcript.whisperx[42].start 2805.558
transcript.whisperx[42].end 2813.084
transcript.whisperx[42].text 有沒有聲音有有謝謝副院長那有請院長跟那個部長謝謝那個左院長還有劉部長謝謝兩位請
transcript.whisperx[43].start 2825.273
transcript.whisperx[43].end 2844.427
transcript.whisperx[43].text 森委員好院長好我今天的問題大概只有兩個因為我想說總質詢的時間並沒有所謂問幾個大方向因為第一個題目是跟內政部比較有關所以可能會請市方部長來回答第二個問題可能會跟部會的協調比較有關所以可能會請院長第一個問題是在
transcript.whisperx[44].start 2848.712
transcript.whisperx[44].end 2876.521
transcript.whisperx[44].text 就是因為這個新聞的關係我們都可以一直看到就是這個全社會這個防衛任性就現在這個總統府已經召開了這個第一次的會議但因為有一個這個所謂40萬名利一直被強調我昨天在國防外交委員會其實也非常多的委員來造謠就是說對於這個40萬名利的解釋跟我們心目中講的不太一樣不斷的去提到說這是民兵又或者說是不是要上戰場等等之類的一個論述
transcript.whisperx[45].start 2878.241
transcript.whisperx[45].end 2894.188
transcript.whisperx[45].text 但是我們先不管說這一方面的謠言到底長什麼樣子因為畢竟媒體鋪天蓋地在這邊的報導其實是非常的誤導那我總覺得這邊有幾個細項我想問一下第一個就是大概在2022年左右就是我們的管主委那時候也是立法委員
transcript.whisperx[46].start 2894.768
transcript.whisperx[46].end 2918.721
transcript.whisperx[46].text 他在質詢的時候其實那時候有提到他說這個民力的部分當時是51萬51萬結果現在降到大概47也就是民力有減少所以也就是說當我們講到40萬這個民防人力的時候看起來好像是比過往的人更減少了那我不知道是說計算的標準是現在不一樣了還是說的確我們的民防人力有減少的狀況
transcript.whisperx[47].start 2920.254
transcript.whisperx[47].end 2935
transcript.whisperx[47].text 謝謝沈委員的關心我非常清楚這個總統府所召開的全社會防衛任性一共有五大分組那內政部所負責的是屬於可治民利這一組那所以在內政部的管轄內我們一定要根據我們的法律上的授權
transcript.whisperx[48].start 2935.76
transcript.whisperx[48].end 2964.959
transcript.whisperx[48].text 我們現在所根據的法律授權來自於民防法災害防救法還有這個替代役管理條例那如果可以再延伸的話可以跟警察法跟消防法一起來折算所以呢我們按照這樣子的方式包括民防的這個民力的這個整編的部分的落在警消為主所以我們算出來大概基本上再加上一部分是屬於志願團體的像志工團體這一些我們志工團體所酌算的比較不多也就是說他如果平常只有上課兩小時四小時我們的
transcript.whisperx[49].start 2965.399
transcript.whisperx[49].end 2990.788
transcript.whisperx[49].text 沒有把它算在內所以真正則算出來大概是落在40萬到41萬左右所以這個是我們很正確的一個說法提供給這個省委員參考確實的反而是人力上的一個減少那剛剛這個部長有提到法規其實我覺得法規還是最重要的畢竟法規本身就有規定有多少然後或者說是什麼樣的編組是在這個民防體系裡面所以我這邊有整理這個中央主管機關我們最主要這四種不同的這個
transcript.whisperx[50].start 2991.508
transcript.whisperx[50].end 3017.43
transcript.whisperx[50].text 民防防護團﹚架構圖﹚裡面的人數﹚這個下面全部都是民防團隊編組演習扶勤支援軍事勤務辦法這個是第9條這個是17、18、19條這個是21條其實這都是非常清楚的事情所以我不是很清楚為什麼說在這個不管是在媒體上面或者說我們有些立法委員一直沒有去看法條所以他們完全不知道說這個民防人力到底在哪裡
transcript.whisperx[51].start 3018.058
transcript.whisperx[51].end 3035.359
transcript.whisperx[51].text 是 報告省委員我相信很多人他們大概有點斷章取義根據民防法裡面或是根據我們全社會防衛這個韌性裡面所標示的最重要的一件事情就是維持我們台灣的社會穩定也就是說我們這麼多的這個民力的部分維持台灣的社會穩定或是包括
transcript.whisperx[52].start 3036.219
transcript.whisperx[52].end 3062.081
transcript.whisperx[52].text 嚇嚇的包括衛福交通或者是經濟農業等等臺灣社會的穩定是我們目前最大的一個需要做的任務編組尤其我們知道天災才是目前臺灣所面對到的最大的一個挑戰那維持臺灣社會穩定還有維持政府的正常運作然後第三個是支援軍事勤務這些都在我們通過多年的民防法裡面第二條寫得非常的清楚所以內政部是按照民防法裡面的規範一步一步往前推進的
transcript.whisperx[53].start 3063.092
transcript.whisperx[53].end 3064.553
transcript.whisperx[53].text 那我這邊想要確定一件事情就是
transcript.whisperx[54].start 3090.533
transcript.whisperx[54].end 3118.247
transcript.whisperx[54].text 因為按照權動署這樣的一個架構﹖他的一個綱領﹖他有八大計畫﹖他的右下角這邊有交通動員準備方案﹖然後有這個跟教育部比較有關的一些﹖精神動員﹖財力動員﹖等等之類的這一些動員的人﹖多少其實也是算﹖人力﹖但我不是很確定的事情就是﹖當我們在講這個40萬的時候﹖我們也把這個交通的﹖或者說今天跟這個科技動員的﹖可能速發的那些人有算進來﹖還是沒有算進來
transcript.whisperx[55].start 3121.713
transcript.whisperx[55].end 3144.429
transcript.whisperx[55].text 我跟委員補充一下第一個您現在所說的動員準備綱領這個部分應該是全民防衛動員就是全動法裡面全動法的主政機關是國防部但是有一部分是內政部來配合的就有點像您剛所說你再問到有關科技的部分有關交通的部分有關衛生的部分在於我們全社會防衛任性的話它就是屬於特種防護團
transcript.whisperx[56].start 3145.31
transcript.whisperx[56].end 3174.435
transcript.whisperx[56].text 也就是我們常常在提到如果是關鍵基礎設施比如說可能是台電的電廠或是中油的油廠或者是中華電信等等這些單位那他們這些單位呢就要根據我們的需求提出專業的訓練成立特種防護團來做有關防護的工作那就是跟我跟剛剛跟您報告的一樣在平時的時候呢他就是維持他們自己本身的運作的正常然後跟外界要提供電提供油然後提供那個有關電信的溝通這個交通等等這個部分
transcript.whisperx[57].start 3174.975
transcript.whisperx[57].end 3175.115
transcript.whisperx[57].text 主席
transcript.whisperx[58].start 3190.302
transcript.whisperx[58].end 3215.166
transcript.whisperx[58].text 感謝因為現在目前來講這幾個的進度我是在各部會的時候去問說這個目前的進度到什麼地方那當然我會想知道說譬如說右上角這個部分因為是內政部主責其實40萬目前的計算比較多是還是在內政部這一個就右上角這一個部分那關於這個內政部因為在2023年的時候已經有開始在盤點民防人力然後接下來可能會有一些教育上的一些這個課程的一個改寫
transcript.whisperx[59].start 3215.971
transcript.whisperx[59].end 3230.278
transcript.whisperx[59].text 還包含在最後一行這一個這邊可能有點擋到就是替代役的這一個人力的動員我去年我這還沒有進來立法院之前我有去幫替代役上過課所以呢但是這個上面這兩個目前的進度為何我可能之後在內政委員會的時候再來詢問部長
transcript.whisperx[60].start 3231.478
transcript.whisperx[60].end 3256.772
transcript.whisperx[60].text 因為這個部分我覺得麻煩的地方是因為現在預算要編但因為預算編了之後有可能是譬如說我們針對這個的訓練我們編大量的預算但也有可能我們不需要大量的預算它可能只是課程的變更因為原來的課程可能我們也知道可能有時候是跟這個民防沒有什麼太大的關係那如果是課程內容的修改它可能不一定需要那麼大的一個預算擺在那一邊所以關於這個細項我可能到內政委員會的時候再來詢問
transcript.whisperx[61].start 3257.512
transcript.whisperx[61].end 3257.532
transcript.whisperx[61].text 委員長
transcript.whisperx[62].start 3280.394
transcript.whisperx[62].end 3292.243
transcript.whisperx[62].text 教育部退場機制以後給內政部納管我們會把大部分替代役的訓練放在中州學院來幫忙處理這部分比較多會落在訓練跟教材的經費我想這也非常重要目前為止我們主要的功能分成兩個
transcript.whisperx[63].start 3299.629
transcript.whisperx[63].end 3323.299
transcript.whisperx[63].text 致安維護組以及消防應變組這兩項才是目前我們臺灣社會上非常急需的部分所以未來不管是訓練也好或是教材也好或是一部分的設備我們都要希望透過114年的預算把它補充這樣子比較快速可以進入我們臺灣的全社會防衛任性裡面也協助現在的警消或是一警一消做一部分的工作上面的支援
transcript.whisperx[64].start 3324.279
transcript.whisperx[64].end 3340.855
transcript.whisperx[64].text 謝謝部長因為我認為這個訓練跟教材的這個改變很重要那希望錢能夠花在島口上那接下來我想問一下就是第二個問題這可能最主要是要問院長的就是中國威脅的問題那這邊呢中國威脅呢這個我在這一個最近呢我們針對中國的威脅把它分成幾個主要的面向
transcript.whisperx[65].start 3341.736
transcript.whisperx[65].end 3364.563
transcript.whisperx[65].text 包含軍事威脅﹑社會上的滲透﹑輿論的影響﹑左上角所謂的經濟的影響﹑政治整複的滲透還包含法律戰﹑外交戰等等之類的在這邊我發現在台灣的法規在盤點的時候我們發現我們對於經濟安保這個部分經濟安全這個部分保護的是稍微比較少一點我們經濟部隊產業當然也是比較保護
transcript.whisperx[66].start 3367.283
transcript.whisperx[66].end 3386.312
transcript.whisperx[66].text 2019 年日本已經從經濟安保法有一系列的法律不斷的通過這個部分我們就會對於中國有關的滲透可能應對的不一定那麼得當我先從幾個小例子開始這個例子其實非常的小這個例子是有人在網路上分享他是說他這個新兵他要去當兵的這個路上
transcript.whisperx[67].start 3387.272
transcript.whisperx[67].end 3412.68
transcript.whisperx[67].text 結果看到遊覽車上面在放解放軍為共產主義奮鬥終生我們去稍微想了一下這件事情到底會怎麼發生第一個如果是國防部直接包的車發生當然我們要問國防部說他在包車的時候到底有沒有去注意這件事情但他也有可能只是單純比如說新兵他們自己有輔委輔委自己去找遊覽車遊覽車來載他們可能是要往來高鐵站
transcript.whisperx[68].start 3416.181
transcript.whisperx[68].end 3416.561
transcript.whisperx[68].text 民政局:國防部
transcript.whisperx[69].start 3446.161
transcript.whisperx[69].end 3446.181
transcript.whisperx[69].text 好 謝謝
transcript.whisperx[70].start 3475.808
transcript.whisperx[70].end 3494.183
transcript.whisperx[70].text 經濟安全已經是總統在和平四大支柱裡面的一項當然就是現在國家會積極的來維護國家安全重要的一環那很多的威脅有形的無形的我覺得無形的威脅文化上的威脅更是每天每時在進行的
transcript.whisperx[71].start 3494.915
transcript.whisperx[71].end 3516.042
transcript.whisperx[71].text 像剛剛委員所提到這個案例我們知道他是在9月23號臺中市政府在載送一些經典朋友們這個義南的一個車輛上面現在的說明是說司機自行但是我是認為這個就是一個警覺心跟習慣性的問題剛剛委員也非常的清楚說我們又有法律的嚴肅的這個看這個問題也許
transcript.whisperx[72].start 3518.49
transcript.whisperx[72].end 3518.51
transcript.whisperx[72].text 委員會長
transcript.whisperx[73].start 3536.738
transcript.whisperx[73].end 3557.168
transcript.whisperx[73].text 行為人的行為注意的太陽我們可以在契約之外的精神或契約裡面的適合的文字來做一些說明而不是用直接的裁判我想我們可以繼續這樣的努力但是總之這種努力是全面但是總還會有一些漏洞中央跟地方要合力來填補這些漏洞才能完全執行
transcript.whisperx[74].start 3559.858
transcript.whisperx[74].end 3575.816
transcript.whisperx[74].text 這個案例是臺中市政府的兵役徵集就我們所知道他大概是用外面的遊覽車把服兵役的年輕人送到軍營裡面去所以國防部還沒有接收的時候是前半截是臺中市政府的兵役徵集
transcript.whisperx[75].start 3577.418
transcript.whisperx[75].end 3577.558
transcript.whisperx[75].text ﹚發言委員:
transcript.whisperx[76].start 3594.845
transcript.whisperx[76].end 3613.556
transcript.whisperx[76].text 謝謝因為對我來講就是說它不一定是對方惡意一定要做什麼滲透的問題但一旦是我們在契約上面或者說我們並沒有去規範的時候它本來就有這個空間可以去做但是剛剛院長跟部長都有提到它是地方政府地方政府來做這件事情的時候我們有時候根本就沒有辦法管到地方政府它要怎麼做
transcript.whisperx[77].start 3614.256
transcript.whisperx[77].end 3614.957
transcript.whisperx[77].text 在今年大概3月質詢的時候就有提到
transcript.whisperx[78].start 3630.33
transcript.whisperx[78].end 3647.641
transcript.whisperx[78].text 那時候剛好也是在跟這個海委會在質詢的過程提到說他們可能在觀光方面可能在產業方面故意繞過我們的中央政府去跟地方談那等於用共產黨典型的模式用地方來包圍中央你今天中央不跟我好我地方來跟我好
transcript.whisperx[79].start 3647.961
transcript.whisperx[79].end 3649.402
transcript.whisperx[79].text 臺灣的民意代表及相關業者主動繞開民進黨政府和中國直接交流
transcript.whisperx[80].start 3673.076
transcript.whisperx[80].end 3701.834
transcript.whisperx[80].text 這下面這一段呢中國與金門開始積極尋找新的合作點來想辦法規避民進黨帶來的兩岸關係的不穩定因素啦那再來呢就是呢這個之前的陸委會其實已經提過了說照理說如果今天兩岸條例第5條的規範涉及公權力的事項沒有經過授權是不能夠簽署任何相關的協議嘛什麼等等之類的但因為中國在國外現在做的方式很多譬如說他們之前呢我先把報告台的案例譬如說之前就發生過美國特定的州他就直接在討論說
transcript.whisperx[81].start 3702.674
transcript.whisperx[81].end 3703.354
transcript.whisperx[81].text 關於兩岸事務都是中央的職權
transcript.whisperx[82].start 3757.401
transcript.whisperx[82].end 3765.244
transcript.whisperx[82].text 好,謝謝沈委員好,謝謝卓院長下一位請廖先祥委員質詢
transcript.whisperx[83].start 3787.21
transcript.whisperx[83].end 3790.452
transcript.whisperx[83].text 謝謝副院長那一樣邀請我們的卓院長請卓院長備詢廖委員好院長好院長其實我最近收到了一個糾紛案有一個政府單位採購一包米
transcript.whisperx[84].start 3811.909
transcript.whisperx[84].end 3840.196
transcript.whisperx[84].text 那這個政府單位收到的時候發現這包米裡面有兩包有兩粒米黑了那壞了因此採購人員選擇不簽收但是這個商家也不寄一包沒有問題的米過來現在就這樣在這邊請問院長是建議這個採購單位的採購人員睜一隻眼閉一隻眼把這包有問題的米收下來還是請這個商家的老闆寄一包新的過來
transcript.whisperx[85].start 3842.432
transcript.whisperx[85].end 3854.177
transcript.whisperx[85].text 買賣一種契約在民法上的契約雙方出賣人這一方他必須要有對瑕疵擔保的責任任何的瑕疵都應該要做適當的這個回復原狀或是彌補
transcript.whisperx[86].start 3857.398
transcript.whisperx[86].end 3883.395
transcript.whisperx[86].text 我想這個是法律上的要求一個東西它有一個完整性不能說可能有大部分是好的少部分有問題的那就要硬要人家吞進去對不對那我想院長應該非常清楚我舉這個例子我就是要提我們的總預算案那我們這次的總預算案您認為是立法院二一杯葛嗎我覺得立法院是對行政院所
transcript.whisperx[87].start 3885.877
transcript.whisperx[87].end 3913.931
transcript.whisperx[87].text 提出的理由還不甚了解我們希望之後繼續的溝通所以您到過了這麼久的時間院長還不了解我們立法院可能包括國民黨民進黨抱歉啦國民黨民眾黨還有無黨籍的委員沒有將總預算賦為的原因您還沒有到現在為止沒有來了解我是說大院不了解行政院這是編列預算的原因所以我們會繼續溝通是立法院不了解行政院編列的原因
transcript.whisperx[88].start 3914.98
transcript.whisperx[88].end 3944.105
transcript.whisperx[88].text 那這個立法院的立場 院長應該非常清楚主要有三點一個法律案一個法律案的問題就是原住民的禁法補償條例這個東西是法律案那還有兩個立法院的主決議那就是這個健保點值每點0.9還有另外一個是公糧收購價的問題這兩個是立法院的主決議好 我們先撇開立法院的主決議不講立法院的主決議畢竟不是法律
transcript.whisperx[89].start 3944.622
transcript.whisperx[89].end 3952.585
transcript.whisperx[89].text 那針對這個立法院通過的中華民國的法律那立法院好像有一些疑義是不是
transcript.whisperx[90].start 3953.396
transcript.whisperx[90].end 3974.737
transcript.whisperx[90].text 是的,委員我們也應該了解﹖如果用一個法律﹖就要求行政院編足預算﹖將來立法院通過了更多更多的法律﹖行政院就必須編列更多更多的預算﹖這個就打破了行政院制定編列預算﹖立法院審議預算的這樣常規﹖也是憲法賦予兩院共同的決定
transcript.whisperx[91].start 3978.22
transcript.whisperx[91].end 3979.681
transcript.whisperx[91].text 我們行政院114年編列的總預算
transcript.whisperx[92].start 4003.971
transcript.whisperx[92].end 4021.332
transcript.whisperx[92].text 所編列的每一塊錢都是立法院通過的法律我們行政院依照這個法律來編列總預算他才有他的釋法性但是今天我們行政院似乎特別的針對了原住民進法補償條例的這條法律
transcript.whisperx[93].start 4024.104
transcript.whisperx[93].end 4033.293
transcript.whisperx[93].text 好像選擇性的執法阿綠的制定跟完成他可以請行政院去執行某一個政策這個政策如何執行時間計畫預算應該讓行政院來處理委員
transcript.whisperx[94].start 4039.042
transcript.whisperx[94].end 4053.396
transcript.whisperx[94].text 大院是監督阿所以院長認為說可能這6萬塊太急了明年來不及編如果一個計畫預算都是由立法院提出立法院本身再來監督那就違反了兩院如果說院長認為這個美工請6萬塊
transcript.whisperx[95].start 4056.098
transcript.whisperx[95].end 4081.213
transcript.whisperx[95].text 可能我們法律案通過 總統公布之後的時候我們的總預算已經變得差不多了我們很難去挪我們以後想辦法去怎麼把它補足包括您剛剛可能有些人說用基金階制印往後年度可能再把它補足等等的立法院是這樣的心態嗎還是說認為只要行政院通過了法律只要跟這個單價跟金額有關的都不應該
transcript.whisperx[96].start 4082.776
transcript.whisperx[96].end 4091.025
transcript.whisperx[96].text 我說法律本身可以要求行政院執行某一種政策但是這個政策的執行的過程行政院必須提出整套的計畫
transcript.whisperx[97].start 4092.005
transcript.whisperx[97].end 4118.023
transcript.whisperx[97].text 他必須也衡量所有所有部會在編列預算以國家政策推動的整體性要走我就跟部長報告像這一次除了原住民進法補償條例還有其他許多的法律立法院通過的法律都有明定在法律中明定政府應該編列的法律預算的金額單位
transcript.whisperx[98].start 4119.964
transcript.whisperx[98].end 4127.654
transcript.whisperx[98].text 立法院國家的法律還有有沒有經過協商人民要不要遵守的問題以後沒有經過協商通過了法律人民可以不遵守嗎
transcript.whisperx[99].start 4136.786
transcript.whisperx[99].end 4150.557
transcript.whisperx[99].text 所謂協商不是形式上的協商是我們對共同推動的實施法律總統公布就是法律了還有尊不尊守的問題啊沒有問題我們來看一下其他市長的法律我們到下一張這個就剛剛講的啦 下一張這個可能主決議啦 總統講的話也不是法律啦或許挑不了這個民眾自有公平啦 沒關係下一張
transcript.whisperx[100].start 4166.479
transcript.whisperx[100].end 4179.786
transcript.whisperx[100].text 這個也是立法院通過的一個法律有機農業獎勵補助辦法跟原住民進法補償條例非常的類似有面積單位每公頃有錢6萬、24萬、8萬請問一下有機農業獎勵及補貼辦法行政院有沒有編組
transcript.whisperx[101].start 4185.538
transcript.whisperx[101].end 4210.605
transcript.whisperx[101].text 我覺得這個要經過行政立法兩院之間來協調就某一個政策同意在一定的時程或編築一定的預算像我們這樣在執行在進法補償這件事情顯然不是如此我們在草野協商的過程當中提出說如果編到4萬塊行政院是可以接受的但是在那個過程就沒有辦法這樣執行如果每個法律都是這樣子
transcript.whisperx[102].start 4212.385
transcript.whisperx[102].end 4237.398
transcript.whisperx[102].text 這樣對行政院的壓力是等於形成對國人國家財務紀律最大的壓力所以依照院長的講法我們的政府面對法律可以選擇性的一個執行不是選擇性我們行政院面對中華民國的法律可以看得順眼的就執行看不順眼的我就不遵守嗎委員請不要用選擇性這兩個字如果你用選擇性我就在說不要用壓迫性
transcript.whisperx[103].start 4239.517
transcript.whisperx[103].end 4249.486
transcript.whisperx[103].text 這是法律阿這是法律吧這是立法院通過的法律總統頒布吧我們不要用選擇性我也不要用這個字眼這是互相協調的如果協調到一個我們認為財政的負擔底下可以而且它符合
transcript.whisperx[104].start 4260.656
transcript.whisperx[104].end 4283.713
transcript.whisperx[104].text 循序漸進的增加可以從3萬塊一下跳到6萬塊哪一個國家的補貼政策是有這樣的目前我們的行政院到目前為止沒有釋出善意的來跟立法會公布說就像我剛剛一開始講的或許總統頒布的時候我們行政院明年的總預算已經編的差不多了我們很難去挪這個可能20多億的一個10多億20多億的預算進來
transcript.whisperx[105].start 4285.054
transcript.whisperx[105].end 4295.209
transcript.whisperx[105].text 那可以來跟我們立法院協商說明年度或許很難上路我們用其他辦法來補足那往後年度我們逐漸把它上路那目前的情況就是將在這邊阿
transcript.whisperx[106].start 4296.786
transcript.whisperx[106].end 4318.038
transcript.whisperx[106].text 我們行政院就什麼都不做啊整天在那邊這個錢只有好啦我不要講一些政治性的攻擊的話啦那目前就是兩院沒有直接溝通嘛不要認為這個錢少這個代表的意義就是兩院之間有沒有遵照整個預算編列制定跟審議的兩院的權力分立來看
transcript.whisperx[107].start 4318.698
transcript.whisperx[107].end 4331.704
transcript.whisperx[107].text 我們在乎的是我們的行政院有沒有依法編列預算所以以後任何立法院通過的法律沒有經過行政院的認可這個法律就沒有辦法生效嗎以後立法院沒有經過
transcript.whisperx[108].start 4339.188
transcript.whisperx[108].end 4362.726
transcript.whisperx[108].text 協商照院長講立法院通過的法律在通過前沒有跟立法院協商獲得共識這個法律就不用生效嗎從此以往所有的法律都是兩院協商過的哇這個立法院太侵權了吧沒有行政院同意的沒有經過協商行政院認可的法律
transcript.whisperx[109].start 4363.891
transcript.whisperx[109].end 4380.896
transcript.whisperx[109].text 行政院可以不遵守律法院飛掉了啦難怪之前很多人說律法院是行政院的立法局律法院經過了法律居然要行政院同意有什麼奇怪的道理啊協商是立法院內部草野的協商協商是一個過程啊協商的結果是要順行政院的意嗎
transcript.whisperx[110].start 4382.568
transcript.whisperx[110].end 4382.788
transcript.whisperx[110].text 我執政之後
transcript.whisperx[111].start 4412.625
transcript.whisperx[111].end 4427.75
transcript.whisperx[111].text 可能上任的第一天就是克遵中華民國的憲法遵守中華民國的法律我講這個是行政部門最基本最基本的責任當然不浪費公帑啊所以我們對所有的預算都會這個原住民進發補償條例對院長是浪費公帑是不是
transcript.whisperx[112].start 4432.592
transcript.whisperx[112].end 4435.235
transcript.whisperx[112].text 違反國家財政紀律違反國家財政紀律的編法就是讓我們在這種狀況底下去施衡整個預算的編列
transcript.whisperx[113].start 4448.07
transcript.whisperx[113].end 4467.931
transcript.whisperx[113].text 好,下一頁這個也是啦,就舉個例啦,就是剛剛補充一下啦,這個也是舉個例啦,交通部加速擴大吸引國際公安課,獎助辦法,境外獎勵每人五千也明定啦,明定金額啦,下一頁老農津貼也一樣啦,明定金額啦,那可能院長認為說這個沒有經過
transcript.whisperx[114].start 4471.75
transcript.whisperx[114].end 4476.834
transcript.whisperx[114].text 有經過行政院的同意立法院的文化就是這樣子如果說立法院通過我原提的法律案會增加行政院預算的話可能都是不太恰當的
transcript.whisperx[115].start 4499.187
transcript.whisperx[115].end 4521.453
transcript.whisperx[115].text 委員可以提一個法案希望行政院做哪些政策但這個政策如何執行計畫預算都要行政院來編列執行完之後接受委員的監督 這樣才是兩院的制衡我懂 我懂 我懂但是我們的總統好像不是這麼認為
transcript.whisperx[116].start 4523.066
transcript.whisperx[116].end 4547.017
transcript.whisperx[116].text 民國9月7年3月14號國民年金法部份台灣修正法案提案人柯建民、賴清德、葉怡菁第52條之一新增項目新增項目這個分完這是生育給付特別規定就是可能在國民年金在生育的部分特別增加了一些預算增加預算的部分就是一定是國家
transcript.whisperx[117].start 4548.038
transcript.whisperx[117].end 4573.074
transcript.whisperx[117].text 要增編預算在院長的眼裡這可能有點違反兩院的願績後來有沒有通過那下一頁請問委員後來有沒有通過訂獎勵再生能源發電條例這個也是提案人非常多藍綠都有藍綠都有包括我們的賴清德總統這個也是每電收購多少元也是要求國家增編預算後來有沒有通過
transcript.whisperx[118].start 4573.954
transcript.whisperx[118].end 4601.189
transcript.whisperx[118].text 財政能源條例現在不是被罵得很慘嗎?有沒有通過財政能源條例應該有,現在在上路吧買了一天不就用這個那就是行政兩位互相,兩位協調的結果可是剛剛院長說我們立法委員提的預算增加國家編列的預算我有點的大舌頭不好意思剛剛院長說我們立法委員提的法律案如果會增加國家預算的話這個東西可能不太恰當
transcript.whisperx[119].start 4601.889
transcript.whisperx[119].end 4619.638
transcript.whisperx[119].text 我都說要經過兩院的協調才可以總統都一直在這麼做啊經常斷了我一句話,這樣不好,這樣會造成大家的誤會這個金額更高了,97年7月8號當然是民主進步黨立法院黨團提案,但這時候可能我們的賴清德總統是黨團幹部,一樣有提案
transcript.whisperx[120].start 4625.441
transcript.whisperx[120].end 4643.279
transcript.whisperx[120].text 可能那時候有一些金融風暴那希望政府增編一些經費政府擴大公共投資經費上限583億元那其中也有一些個人的細項包括本人4千元、撫養親屬美人4千元也是有一個預算的規模
transcript.whisperx[121].start 4644.02
transcript.whisperx[121].end 4660.473
transcript.whisperx[121].text 跟一個單價的問題好像在院長的眼裡都不是那麼的恰當那如果要通過都要請政院我們這一代政治人物不要用故意這種的方式來誤解大家我沒有說立法院不能提這個案
transcript.whisperx[122].start 4661.133
transcript.whisperx[122].end 4662.554
transcript.whisperx[122].text 總預算將局賴統統目前神隱除了在媒體上面
transcript.whisperx[123].start 4683.372
transcript.whisperx[123].end 4701.64
transcript.whisperx[123].text 發一些言打打嘴砲嘴在野糖之外用情緒勒索的治水預算設服預算綁架衛浴法邊的預算之外總統好像有一些正事沒做啦中華民國憲法第44條這個院與院之間的紛爭除本憲法規定外的召集各位院長委員情緒性的發言解決不了實質問題
transcript.whisperx[124].start 4709.741
transcript.whisperx[124].end 4716.035
transcript.whisperx[124].text 好,謝謝廖委員下一位我們請葉元之委員質詢
transcript.whisperx[125].start 4755.387
transcript.whisperx[125].end 4755.728
transcript.whisperx[125].text 請卓院長
transcript.whisperx[126].start 4767.408
transcript.whisperx[126].end 4784.675
transcript.whisperx[126].text 市長好我想說先針對我們板橋有一個地方人是非常關心的一個都市計畫跟院長澄清因為這個都市計畫已經拖非常久了當初新北市政府第一次是102年的時候送到內政部後來因為退回公展又整合地方意見
transcript.whisperx[127].start 4785.575
transcript.whisperx[127].end 4802.483
transcript.whisperx[127].text 所以整合了8年,110年再送到內政部這就是我們的福州都市計畫那110年送到內政部之後呢,內政部在111年的2月開了第一次的都委會的專案小組然後因為覺得8年過太久了,所以要退回
transcript.whisperx[128].start 4803.283
transcript.whisperx[128].end 4823.016
transcript.whisperx[128].text 叫新北市政府再次公展再整合地方意見然後新北市政府112年10月又報內政部那目前呢又開了兩次的專案小組一次是在今年5月7號另外一次是9月26號那我特別利用我們總質詢的時間跟院長講是因為這個都市計畫真的很久了
transcript.whisperx[129].start 4823.816
transcript.whisperx[129].end 4850.269
transcript.whisperx[129].text 那也經歷了蔡總統時代歷任行政院長過去有行政院長跟內政部長到了我們那個地方都被地方的里長問這個都市計畫結果都打不出來結果地方人士就覺得說政府好像很不重視這個都市計畫所以我今天特別利用這個機會來跟院長當面跟你報告希望說你也來關心這個案子因為這個福州都市計畫大概對我們地方發展很重要第一個它是
transcript.whisperx[130].start 4851.618
transcript.whisperx[130].end 4875.867
transcript.whisperx[130].text 有非常多的都市更新的規劃第二個它也有幫助到我們太阪輕軌的興建因為太阪輕軌的部分道路必須要經過區段徵收然後還有就是這個都市計畫一直沒有通過導致於我們地方有很多污水下水道也沒有辦法興建那當然這個都市計畫通過之後對於中央的社會住宅的興建也有相關的配合因為也提撥5%的地
transcript.whisperx[131].start 4877.668
transcript.whisperx[131].end 4893.284
transcript.whisperx[131].text 注入此類還有安全的問題所以我在這邊希望院長可以承諾因為實在拖太久了能不能我們設定一個階段性的目標在明年中的時候可以讓專案小組的可以送出 送到大會去 不知道可不可以
transcript.whisperx[132].start 4894.878
transcript.whisperx[132].end 4897.48
transcript.whisperx[132].text 因為拖太久了所以每一次專案小組都在前行提要你知道嗎
transcript.whisperx[133].start 4917.017
transcript.whisperx[133].end 4926.268
transcript.whisperx[133].text 我先說明一下我的一些問題因為每一次專案小組都在前進提要都在講說之前發生這個案子是怎樣怎樣怎樣為什麼 因為是在拖太久
transcript.whisperx[134].start 4927.202
transcript.whisperx[134].end 4945.105
transcript.whisperx[134].text 所以這個又浪費了非常多的時間然後每一次專案小組跟專案小組中間又隔非常久你看上一次是5月7號後來就排了9月26號5月7號之前又更是新北市政府是半年前就提報內政部半年之後才安排專案小組這其實都是浪費時間
transcript.whisperx[135].start 4946.326
transcript.whisperx[135].end 4966.184
transcript.whisperx[135].text 然後再來就是一次專協組所提出來的結論我看到也是覺得非常的 我不太能接受因為他說叫新北市政府再提供有一些路段牌圍區段徵收的原則到底是什麼然後他說叫新北市政府去調查那個福州當地的現況以及違章工廠使用情形
transcript.whisperx[136].start 4966.804
transcript.whisperx[136].end 4995.057
transcript.whisperx[136].text 這些東西這些資料早就有了結果你隔了這麼久開的專案小組還叫人家在做早就做的事情這就把這個都市計畫的審議變成一種作文比賽感覺好像就沒有很想要這個都市計畫通過所以我就是在這邊請院長關心請部長關心我現在還沒講完請院長關心請部長關心這個拖很久是我們地方的期待趕快設定一個階段性的目標我們希望明年中的時候把它送出大會
transcript.whisperx[137].start 4995.717
transcript.whisperx[137].end 5012.185
transcript.whisperx[137].text 然後你每一次會的中間的間隔短一點然後不要一直前情回顧然後也不會不要一直要求地方作文比賽那這是我們地方期待我知道院長過去也是也做過立委也是民進黨有出生我們都接地氣 懂民心部長也是 不知道可以嗎
transcript.whisperx[138].start 5013.1
transcript.whisperx[138].end 5013.48
transcript.whisperx[138].text 院長可以嗎可以嗎 院長
transcript.whisperx[139].start 5043.342
transcript.whisperx[139].end 5050.176
transcript.whisperx[139].text 就是明年中我們設定一個階段性的目標嘛我們是有階段性的目標在往前推動沒有錯阿盡量啦好不好
transcript.whisperx[140].start 5051.513
transcript.whisperx[140].end 5076.538
transcript.whisperx[140].text 你現在就唸資料而已啊你也沒有了解我們的案子啊你也沒去開會啊但是你有剛有提到污水下水道的部分啊我也要跟你講污水下水道是因為要經過區段徵收因為污水下水道要經過一些公有土地嘛那邊就卡住了嘛經過區段徵收重劃之後就可以興建金北市政府在10月1號的時候已經提送了這個整個設計報告因為我還有其他議題你在那邊唸資料就等於有點浪費我的時間沒有我已經跟你講我們現在的實際進度
transcript.whisperx[141].start 5078.138
transcript.whisperx[141].end 5081.24
transcript.whisperx[141].text 我們可以請內政部把這個開會的時間把它弄得緊密一點
transcript.whisperx[142].start 5108.298
transcript.whisperx[142].end 5108.518
transcript.whisperx[142].text 請你下去
transcript.whisperx[143].start 5136.786
transcript.whisperx[143].end 5160.313
transcript.whisperx[143].text 好謝謝院長接下來齁我想跟請教一下剛剛國防部發布了一個非常重要的一個話題就是10月10號的時候中共要射火箭這個事情你知道嗎他現在已經發布國防部已經發布了這個很長一段階段他都在台灣的不是啦我問你剛剛的事情啦剛剛發布了啦說已經要射火箭要經過會通過台灣啦
transcript.whisperx[144].start 5163.383
transcript.whisperx[144].end 5190.216
transcript.whisperx[144].text 這可能是不是之前講的國安單位掌握的聯合利劍B當時就已經說了可能會發射中程導彈沒有錯我希望他的演習是針對他自己所瑕有效範圍內做他自己軍事的演練對這種防害到區域安全印太地區安全跟穩定的動作希望中國能夠有所節制你在這邊呼籲他節制他就會節制嗎不會所以你的因應作為是什麼
transcript.whisperx[145].start 5191.36
transcript.whisperx[145].end 5216.914
transcript.whisperx[145].text 我們做好自己的準備什麼啊就是所有的過程我們要請軍方單位能夠詳細的瞭解甚至監控瞭解不會對人民造成任何的威脅因為有關於中共聯合利劍逼這個計畫已經講了兩三天了那你現在是說要請國防部瞭解我記得事先都沒有掌握狀況嗎一直有瞭解一直有瞭解那你現在掌握的狀況是怎樣
transcript.whisperx[146].start 5218.682
transcript.whisperx[146].end 5247.181
transcript.whisperx[146].text 很多事情我不便在這裏說不便中 那我們因應作為可以說嗎因應作為就是就以前現在這個不只是聯合利建B他過去有很多的演練啊我們都持續在了解當然是這樣 院長我現在是針對非常具體的問題在問你我現在針對非常具體的問題在問你那你告訴我SOP現在我們要做什麼然後全國台灣民眾要注意什麼那政府的作為是什麼
transcript.whisperx[147].start 5247.941
transcript.whisperx[147].end 5249.643
transcript.whisperx[147].text 民眾想要知道因為軍演這個事情是很嚴重的問題
transcript.whisperx[148].start 5266.9
transcript.whisperx[148].end 5268.842
transcript.whisperx[148].text 國安部發布這個訊息就是向國人表達我們對所有的狀況都非常的掌握清楚
transcript.whisperx[149].start 5294.023
transcript.whisperx[149].end 5321.881
transcript.whisperx[149].text 我說說在國慶當中我們辦好國內的國慶我們的因應作為就是他發射他的導彈然後我們來辦我們的國慶這兩個不同的事情嘛他發射他導彈我也要吃飯啊我今天也來總質詢啊我們等一下該怎樣待怎樣這是一回事嘛我現在講的是針對他發射導彈我們的因應作為是什麼我們的因應作為不是辦國慶國慶是本來我們就要做的事因應作為是什麼當天是國慶所以我們也一定提高我們的
transcript.whisperx[150].start 5322.261
transcript.whisperx[150].end 5322.601
transcript.whisperx[150].text 聽我講還知道的
transcript.whisperx[151].start 5345.501
transcript.whisperx[151].end 5345.961
transcript.whisperx[151].text 發言委員:完整會議
transcript.whisperx[152].start 5368.783
transcript.whisperx[152].end 5395.262
transcript.whisperx[152].text 也有可能是目前沒有因應作為 你要去開會討論也有可能那總統府會不會召開國安會議 你應該也不曉得嘛 對不對總統要不要召開國安會議 總統自會有他的判斷即使不召開形式上的國安會議 在國慶這一個階段當中對國家安全的回顧一定是提高警告那院長 那我就來問一個 您可能會知道東西的因為你禮拜五中午的時候要跟韓院長吃和解飯嘛 對不對
transcript.whisperx[153].start 5396.257
transcript.whisperx[153].end 5397.917
transcript.whisperx[153].text 議員長 您期待達到什麼效果?
transcript.whisperx[154].start 5420.422
transcript.whisperx[154].end 5433.416
transcript.whisperx[154].text 我們期待國家繼續往前走預算能夠互相瞭解因為剛剛我聽你跟廖謙祥的答詢你覺得現在卡在立法院不了解您的立場對不對
transcript.whisperx[155].start 5435.066
transcript.whisperx[155].end 5463.684
transcript.whisperx[155].text 是嗎?你剛剛是認為都是立法院的錯嗎?你都認為這是立法院的錯那在和解犯的時候你會這樣子教訓立法院嗎?說都是你們不了解我們啦還有立法院怎麼可以隨便通過法律呢?叫我們來執行你們的預算呢?你會這樣教訓?像剛剛這樣子去教訓那個副總召還是教訓那個韓院長嗎?怎麼會用教訓?那你會用什麼方式跟他溝通?怎麼會用教訓?那會用什麼方式溝通?我們在
transcript.whisperx[156].start 5464.997
transcript.whisperx[156].end 5468.04
transcript.whisperx[156].text 院長你會講到說 哎呀治水預算一刻不能等啊 所以你們總預算趕快復違啊 你會講出這種話嗎
transcript.whisperx[157].start 5487.022
transcript.whisperx[157].end 5515.766
transcript.whisperx[157].text 我心裡這麼想但是我認為 心裡這麼想現在的治水預算因為颱風風災所造成的一些災害要重建的治水預算不是早就在你的手裡了嗎這不是去年通過的嗎是今年度的對 今年度嘛所以一顆不能等講的是明年是不是所以你跟大家講一顆不能等講的是明年是不是明年的預算一顆不能等那這樣啦 院長一顆不能等以後治水預算都不要送來立法院了啦你直接行政院簽一簽馬上通過了啦
transcript.whisperx[158].start 5516.725
transcript.whisperx[158].end 5527.235
transcript.whisperx[158].text 民主國家行政院長竟然會講出這種獨裁的話 我也是非常訝異民主國家行政院長竟然會講出這種獨裁的話 我也是非常訝異民主國家行政院長竟然會講出這種獨裁的話 我也是非常訝異民主國家行政院長竟然會講出這種獨裁的話 我也是非常訝異
transcript.whisperx[159].start 5541.837
transcript.whisperx[159].end 5550.779
transcript.whisperx[159].text 明天總計算省到幾月幾號當然希望今年度能夠完成啊今年度是不是到12月31號對嘛所以現在你一直講一刻不能等好像是現在立刻要通過一樣
transcript.whisperx[160].start 5554.582
transcript.whisperx[160].end 5565.891
transcript.whisperx[160].text 到12月30號你跟大家講說明年的治水預算一刻不能等請大家這一天通過我贊成但是現在還有三個月的時間你說一刻不能等所以這個就是話術在電視上這樣講話說明年的治水預算
transcript.whisperx[161].start 5574.498
transcript.whisperx[161].end 5600.404
transcript.whisperx[161].text 今年治水預算早就在你手上了嘛現在大家省的是明年的嘛那你說一刻不能等好像現在就要通過一樣今年12月31號通過就可以嘛院長我跟你講既然啦要和解飯要吃飯大家不要吵架嘛你講出這種治水預算一刻不能等大家就生氣了這個吃飯打不到效果我只願我那個和解飯因為我沒辦法去吃啦我是建議說建議有些話不要講好然後再來齁
transcript.whisperx[162].start 5604.085
transcript.whisperx[162].end 5605.746
transcript.whisperx[162].text 蔣委員沒有辦法溝通我講的是明年度550億
transcript.whisperx[163].start 5622.878
transcript.whisperx[163].end 5644.005
transcript.whisperx[163].text 現在搞得好像是原住民在擋治水預算但是我的原住民朋友啊他說這個淨法補償條例從3萬到6萬這個東西這個不是恩己欸這不是福利欸這個是應該給原住民的補償欸要不然這樣子啊你讓他土地使用嘛讓他可以開發他賺到的錢絕對超過一年6萬塊
transcript.whisperx[164].start 5645.245
transcript.whisperx[164].end 5670.461
transcript.whisperx[164].text 可是國家叫他不要開發因為水土保持要給他補償變成一種恩惠政府已經對你們很好了啦你不要吵啦包括那個原住民主委講說原住民的預算今年已經比去年多變了12%哇賽要原住民感恩戴德喔把他們當作什麼啊重點是這是補償這是正義這個不是恩己不是恩惠我希望原住民主委
transcript.whisperx[165].start 5674.704
transcript.whisperx[165].end 5675.987
transcript.whisperx[165].text 謝謝葉委員謝謝卓院長下一位請黃仁委員質詢
transcript.whisperx[166].start 5699
transcript.whisperx[166].end 5702.343
transcript.whisperx[166].text 黃偉豪我們先看一下這三張影片
transcript.whisperx[167].start 5722.444
transcript.whisperx[167].end 5741.627
transcript.whisperx[167].text 這是我們蔡英文包含賴清的總統還有我們卓院長這是你們戳穿了這個衣服就表示你認同我們在台灣原住民是一家人是嗎
transcript.whisperx[168].start 5743.8
transcript.whisperx[168].end 5767.417
transcript.whisperx[168].text 我上次好像跟委員說過你看你的著裝的衣服有多帥我說原住民朋友曾經是臺灣這塊土地上唯一的主人那現在我們所有的人民都是臺灣這個國家共同的主人院長你看一下沒錯原住民的榮耀對不對你認同嘛那既然認同我們區區的一個預算而且不是違法
transcript.whisperx[169].start 5769.189
transcript.whisperx[169].end 5790.244
transcript.whisperx[169].text 通過是經過了72位跨黨派而且是三讀通過是憲法保障那既然這樣的話行政院也應該尊重我們區區的一個禁法補償的這一些預算
transcript.whisperx[170].start 5791.277
transcript.whisperx[170].end 5806.163
transcript.whisperx[170].text 那當然你們現在又有認為要補充或者是園民會要從這個原住民的綜合發展基金要挪用如果挪用的話我們原住民的發展基金已經破產
transcript.whisperx[171].start 5807.472
transcript.whisperx[171].end 5834.017
transcript.whisperx[171].text 沒有任何再提供給我們全國國人包含他的福利的這些基金包含貸款基金以上的各項的福利基金已經沒有錢來對我們原住民的國人怎麼交代所以現在三兆兩千多億的預算我們去這個14億為什麼
transcript.whisperx[172].start 5837.031
transcript.whisperx[172].end 5854.839
transcript.whisperx[172].text 你們著穿了這個衣服也彰顯了對世界對國際認同我們台灣的原住民就是主人那既然這樣的話我們待會我們要討論的是福利政策教育土地
transcript.whisperx[173].start 5855.799
transcript.whisperx[173].end 5869.46
transcript.whisperx[173].text 那禁法補償是國人最關心我們當然也感謝過去的立法委員包含現任的立法委員的努力當然我也要對我們國人要交代為什麼
transcript.whisperx[174].start 5870.458
transcript.whisperx[174].end 5899.757
transcript.whisperx[174].text 因為現在很多國人包含原住民在誤解誤會說我們在擋這個總預算不是是退回總預算重新檢討再把我們的預算是不是可以編列出來因為原住民事務裡面不是那麼煩雜只是追求了一個對原住民的尊重對原住民的尊重今天我們禁法補償既然你們禁止開法
transcript.whisperx[175].start 5900.401
transcript.whisperx[175].end 5906.805
transcript.whisperx[175].text 委員對原住民朋友的關心我們當然非常清楚我當然比不上你
transcript.whisperx[176].start 5928.936
transcript.whisperx[176].end 5955.403
transcript.whisperx[176].text 但是我們會透過各種的機會去了解原住民朋友的文化需求生活我們希望大家融為一體這絕對也請委員不用懷疑開國以來到現在我們不是一個實用品也不是試用品我們是一個核心的價值原住民在台灣這一塊土地我們站起來在歷史角度我們絕對跟國際來發聲
transcript.whisperx[177].start 5958.784
transcript.whisperx[177].end 5979.063
transcript.whisperx[177].text 因為我們是真正的台灣主人可是我們國家有沒有真正對原住民的角度一旦選舉總統選舉穿著原住民的衣服我是原住民的孩子但是選舉之後呢背後裡面沒有真正的給原住民的尊重
transcript.whisperx[178].start 5979.701
transcript.whisperx[178].end 5984.365
transcript.whisperx[178].text 我跟委員報告歷年來有人民會成立以來今年的預算是最多的一次我們還編了28.16億
transcript.whisperx[179].start 6009.07
transcript.whisperx[179].end 6009.09
transcript.whisperx[179].text 金華補償
transcript.whisperx[180].start 6029.309
transcript.whisperx[180].end 6053.577
transcript.whisperx[180].text 那還不夠補還不夠給就是如果是一公頃要一公頃是6萬還不夠給的話當然我們就按歷年來的往歷循例由基金來做這個基金裡面是不能挪用的嘛這是違法的嘛那如果說到時候再挪用已經106年106年112年已經挪用到多少67億
transcript.whisperx[181].start 6055.518
transcript.whisperx[181].end 6079.248
transcript.whisperx[181].text 你再用挪用14億在補貼這個金髮補償的時候是已經破產而且是違法如果基金他已經不過用了那我想我們會請求會拜託主席總書是不是再給他再挹注進來讓這個基金能夠繼續的維持我希望依法行政
transcript.whisperx[182].start 6081.038
transcript.whisperx[182].end 6106.508
transcript.whisperx[182].text 我希望尊重我們立法院三讀通過這樣的議題行政院應該要尊重我們在過去裡面民進黨他們所提案的三讀通過的不就是依法行政不是通過了預算來追加甚至在這個預算法第79條可以追加預算就是依法行政就好了嘛
transcript.whisperx[183].start 6107.672
transcript.whisperx[183].end 6134.695
transcript.whisperx[183].text 沒有違法也不會減少3兆2000多億的預算只是把裡面用在這個預算裡面應該尊重立法院的三度通過這才是一個真正尊重原住民我們並沒有違法報告委員您所提的就是一個整個預算的程序無論是年度預算或是追加預算您所提的剛剛所談的都是一個程序的問題我所在意的也是程序的問題
transcript.whisperx[184].start 6135.416
transcript.whisperx[184].end 6164.124
transcript.whisperx[184].text 未來競發補償怎麼處理我現在心中沒有定案但是如果多倫就循預算程序來處理不可以談從2000年以後我們成立了多少對原住民朋友生活融在一起的各種政策跟部會當然希望加強所以這件事情是黨派的問題你這個說詞我希望你加強
transcript.whisperx[185].start 6165.685
transcript.whisperx[185].end 6192.121
transcript.whisperx[185].text 這件問題不是黨派的問題是原則性的問題如果明年增加到更多那行政院也要再照編嗎不會吧所以今年也應該循序這種方式來協調才對我很願意跟大家談現在很多國人都誤會退回預算不是在黨預算好不好 麻煩你重視我們每一個委員所提出來的不是討伐
transcript.whisperx[186].start 6192.935
transcript.whisperx[186].end 6216.991
transcript.whisperx[186].text 是講道理我們今天講道理我們今天區區的一個14億但是對原住民的來講他是一個很大很大的一個福利政策因為這就是一個補償他們的缺失那這個不就是一個照顧國人的角色你穿著這個衣服不就是對我們原住民是肯定
transcript.whisperx[187].start 6217.791
transcript.whisperx[187].end 6219.512
transcript.whisperx[187].text 委員一直在責怪我們行政院為什麼不尊重
transcript.whisperx[188].start 6238.317
transcript.whisperx[188].end 6239.058
transcript.whisperx[188].text 另外就是在過去蔡英文承諾
transcript.whisperx[189].start 6264.5
transcript.whisperx[189].end 6290.249
transcript.whisperx[189].text 在原住民的自治法原住民的土地法及海域法原住民的語言及發展原住民的語言發展法2017年公布原住民的自治及原住民的土地及海域尚未送到立法院但是我已經在本院本席已經在第1個會期已經提送我也希望
transcript.whisperx[190].start 6290.894
transcript.whisperx[190].end 6318.694
transcript.whisperx[190].text 行政院裡面有自己的版本土地法跟海域法那另外我現在講的是內政部長我們講的是國土計劃法現在全國紛紛擾擾而且在對你們國土計劃法的不諒解很多縣市為什麼不送審到我們立法院給內政部原因在哪裡在送審的話我們土地法就判死了
transcript.whisperx[191].start 6319.534
transcript.whisperx[191].end 6346.546
transcript.whisperx[191].text 看是什麼把所有的地方的農地變為國有國一國二國三農一農二農三的限制因地制宜沒有在想你們只是希望你們在執行這個任務要完成可是有沒有想到各縣市裡面在都市發展的前提之下都沒有真正的考量因地制宜的角色第一個我想問你
transcript.whisperx[192].start 6349.774
transcript.whisperx[192].end 6369.539
transcript.whisperx[192].text 國土計劃法對原住民的土地產生了什麼樣的影響以下有6個問題要就教院長包含內政部長包含人民會主委第一個原住民傳統領域及傳統海域問題如何解決第二國土計劃法及原住民的傳統領域劃分
transcript.whisperx[193].start 6372.13
transcript.whisperx[193].end 6395.851
transcript.whisperx[193].text 的問題如何解決.第3國土功能分區.劃設後原住民土地還能調整嗎.第4國土計劃法通過後.原住民的土地是否.無法自治.第5國土功能分區.分裂.可以蓋原住民傳統文化建築.可以嗎.第6
transcript.whisperx[194].start 6397.032
transcript.whisperx[194].end 6415.968
transcript.whisperx[194].text 國土計劃會影響既有照領補助以禁法補償的資格請問你有沒有想到這6點你一下跳躍了我們延期法延期法憲法保障也就是你們民進黨總統陳水扁當時認同我們原住民的延期法
transcript.whisperx[195].start 6416.528
transcript.whisperx[195].end 6432.042
transcript.whisperx[195].text 所以才有今天我們保障我們原住民的土地包含傳統領域但是你現在用國土計畫跳過了我們原住民的土地法還有海域法請問你有什麼樣對我們全國國人交代請說明
transcript.whisperx[196].start 6434.219
transcript.whisperx[196].end 6449.69
transcript.whisperx[196].text 國土計畫法我跟委員報告其實這個法對原住民是有利的為什麼講呢因為你國土計畫法通過之後有一些原住民的土地管理規則會讓我們的土地等一下我請部長內政部長先回答我這個問題
transcript.whisperx[197].start 6451.391
transcript.whisperx[197].end 6474.388
transcript.whisperx[197].text 謝謝委員的指教我想我的想法跟原民會主委非常的相像我們的國土計劃法如果能夠順利通過的話對於原住民現在的土地保障反而會更多元以現在原住民的朋友們最關心的就是說在原住民的聚落保留地裡面這個房子的合法化的問題我想黃委員非常的清楚現在大概有14萬棟全台灣
transcript.whisperx[198].start 6476.93
transcript.whisperx[198].end 6495.511
transcript.whisperx[198].text 我希望我希望完成的要保障原住民的土地法但是我希望你們也提出你們行政院版的第一個
transcript.whisperx[199].start 6496.212
transcript.whisperx[199].end 6496.232
transcript.whisperx[199].text 為什麽?
transcript.whisperx[200].start 6519.673
transcript.whisperx[200].end 6549.208
transcript.whisperx[200].text 因為你們沒有周遣的考量所以你不要因為你們要去執法執行然後罔顧民意這些要多聽聽各縣市的聲音當初在選舉的時候你們已經 原民會 內政部已經在廣外的來宣達說我們要在土地法裡面要趕快上路但是這幾個月來你看看
transcript.whisperx[201].start 6550.179
transcript.whisperx[201].end 6562.066
transcript.whisperx[201].text 你看看全國的鄉親對政府的隱憂你們到底有沒有聽聽老百姓的聲音希望國土計畫法
transcript.whisperx[202].start 6562.799
transcript.whisperx[202].end 6581.8
transcript.whisperx[202].text 延後而且我們認同我們已經有提案希望展延6年把所有的土地法而且要因地制宜考量他們的生計跟土地的開發包含地方的發展還有產業你們都要考量可不可以
transcript.whisperx[203].start 6582.5
transcript.whisperx[203].end 6584.241
transcript.whisperx[203].text 你們可以行密監禁 行密監禁但是以大體來講的話
transcript.whisperx[204].start 6599.232
transcript.whisperx[204].end 6619.565
transcript.whisperx[204].text 應該要展延6年嘛所以針對原住民的話你們許密限制嘛沒有叫你中斷阿沒有叫你中斷阿原住民本來是要保障的嘛但是其他的議題你們要真正的要考量地方的發展我們一定保障原住民的部分好 謝謝黃委員 謝謝卓院長下一位請紐許廷委員質詢
transcript.whisperx[205].start 6639.738
transcript.whisperx[205].end 6647.163
transcript.whisperx[205].text 好,謝謝主席,行政院長內政部長有請來請院長還有內政部長備詢委員好院長早安我們就直接進入主題今天時間比較短,15分鐘而已我想請問一下,您會親自主持行政院大部分的院會對不對?
transcript.whisperx[206].start 6670.236
transcript.whisperx[206].end 6686.373
transcript.whisperx[206].text 這個會找各地的縣市政府一起開會對不對那桃園市政府其實很常在行政院院會的時候去提到針對倉儲跟危險物品的納管談消防的議題請問院長知不知道背後的原因跟故事是什麼
transcript.whisperx[207].start 6687.708
transcript.whisperx[207].end 6700.863
transcript.whisperx[207].text 之前有發生過大火的事件大家認為很需要就一個管制品必須要做一個有效的一個安全上的維護那機場大火院長有印象嗎競鵬競鵬是工廠的還有勒
transcript.whisperx[208].start 6704.488
transcript.whisperx[208].end 6706.05
transcript.whisperx[208].text 是2022年3月10號的美孚倉儲大火
transcript.whisperx[209].start 6721.725
transcript.whisperx[209].end 6735.806
transcript.whisperx[209].text 這把大火是桃園人心中永遠的痛因為它帶來的公害跟後面的損失是不計其數的不只是美孚的大火2022年4天過後3月14號在陽梅的家樂福同樣也是倉儲
transcript.whisperx[210].start 6737.308
transcript.whisperx[210].end 6766.167
transcript.whisperx[210].text 發生了大火的事件大火的事件倉儲大火也不只是發生在桃園到2023年8月1號去年的時候這個林口的PC Home它一樣是倉儲的大火每一次這個火災的規模都很大救災的成本也非常高那證明了倉儲是火災的熱點是公害的溫床更是消防人員救災的巨大負擔院長跟部長應該不會反對這樣的說法這幾把大火應該我講了大家就有印象對不對
transcript.whisperx[211].start 6767.469
transcript.whisperx[211].end 6782.409
transcript.whisperx[211].text 同意對不對好這個院長可能會想說這個突然之間在這邊提兩年前發生的美孚大火為什麼要就案重提啊這我要跟院長講講故事啊院長你知不知道或部長知不知道美孚大火的公害影響多少人
transcript.whisperx[212].start 6785.047
transcript.whisperx[212].end 6806.546
transcript.whisperx[212].text 對相當的多因為他燃燒的這個肉類他燃燒的時間非常的長他影響的人數數萬人甚至到十萬人之普因為那個臭味基本上北桃園的市民都聞到了部長曾經聞過火場的味道嗎我知道我有去過那個其實是蠻可怕的所以火災不只是消防人員的損傷而已他其實也是公害的來源
transcript.whisperx[213].start 6808.533
transcript.whisperx[213].end 6831.773
transcript.whisperx[213].text 今天不只是這個救災的問題我要跟院長跟部長講的是有一小群人他們叫美孚大火公害自救會因為這場大火發生之後後來我們發現政府其實沒有什麼樣的法源依據去裁罰相關的廠商公害造成的損失到最後由市民自行承擔有一小群人看不過去只好抱團自救自己組了自救會
transcript.whisperx[214].start 6832.754
transcript.whisperx[214].end 6852.635
transcript.whisperx[214].text 然後去跟美孚這個廠商打官司如果看來這叫做小蝦米對大鯨魚小市民站大財團他們希望透過市民站出來的力量一方面他們要為自己討一口公道討一點公道二方面更重要的是我曾經在擔任議員的時候我曾經進行協助的時候他們就拜託我們
transcript.whisperx[215].start 6854.117
transcript.whisperx[215].end 6874.737
transcript.whisperx[215].text 希望透過他們站出來打官司的這個行為希望讓各級政府重視這樣子倉促的大火悲劇不能再重演那個時候我是桃園市的議員後來我跟順利他也在我們同一個選區在我們蘆竹南崁地區我現在是桃園第一選區的選區民意代表受人之托、中人之勢
transcript.whisperx[216].start 6875.538
transcript.whisperx[216].end 6875.898
transcript.whisperx[216].text 是的 這個身為民意代表
transcript.whisperx[217].start 6892.961
transcript.whisperx[217].end 6895.622
transcript.whisperx[217].text 解決問題對不對所以這個方向目前這樣回答本席還算是非常滿意的我們希望
transcript.whisperx[218].start 6912.166
transcript.whisperx[218].end 6940.132
transcript.whisperx[218].text 這樣子的大火悲劇不重演政府能夠重視並且進行制度上的調整今天是內政組的質詢所以我們馬上立法院也正在排審消防法所以我們還是回到救災的角度來討論這樣的事情回到防災救災的主軸請問院長部長要支援也可以我剛剛有講桃園的兩個大火一個是美孚一個是家樂福家樂福的大火救災的時間多久動員了多少資源兩位有概念嗎
transcript.whisperx[219].start 6941.345
transcript.whisperx[219].end 6957.39
transcript.whisperx[219].text 抱歉我不清楚我知道非常多但是您非常關心有關消防人員或者是附近居民的安全我們也都非常的清楚好吧誠實也是上冊但我會希望有一個這個數字好我就把數字公布給兩位看就在時間40個小時20分鐘
transcript.whisperx[220].start 6960.717
transcript.whisperx[220].end 6961.498
transcript.whisperx[220].text 那美孚呢?
transcript.whisperx[221].start 6975.387
transcript.whisperx[221].end 7002.864
transcript.whisperx[221].text 要不要估一下這樣子的數字幾天吧我記得七天主要是悶燒悶燒對不對我告訴兩位不止七天啦美孚大火救災啦就實際上在壓制火勢的時間161個小時差不多是七天左右可是因為悶燒因為復燃因為他的倉儲的結構讓救災的難度提升所以這復燃悶燒變得大家束手無策後來出動了這個大鋼牙這些相關的機具
transcript.whisperx[222].start 7003.684
transcript.whisperx[222].end 7031.62
transcript.whisperx[222].text 各式各樣的車次576輛次整個悶燒的時間21天超過500個小時一場火災動員的消防人力2163人次這數字應該滿驚人的吧 院長請問這個消防弟兄辛苦不辛苦非常辛苦我們應不應該從制度跟等等的角度去避免這樣的事情再次發生
transcript.whisperx[223].start 7033.352
transcript.whisperx[223].end 7036.804
transcript.whisperx[223].text 如果從源頭能夠來避免這個事情就會減少他們的勤務量
transcript.whisperx[224].start 7037.605
transcript.whisperx[224].end 7065.018
transcript.whisperx[224].text 好 那麼這兩場倉儲大火為什麼這麼的勞民傷財我們就直接講因為倉儲的火載量這我曾經在內政委員會質詢的時候消防組長答得非常快所謂的火載量就是單位面積可燃物完全燃燒的時候產生的熱能就是它易不易燃它容不容易引起火災倉儲的易燃的火載量不只不低於工廠甚至高於工廠甚多有四倍五倍不止
transcript.whisperx[225].start 7065.658
transcript.whisperx[225].end 7092.072
transcript.whisperx[225].text 所以剛剛開頭的時候我跟兩位在在在質詢的時候兩位第一個想到的火災想到的是桃園的進棚工業大火想到的是屏東的名陽大火這是工廠對不對但是倉儲的易燃的性質跟燃燒的強度其實是不低於這樣工廠的一個狀況那院長請問現在倉儲的部分存放物流倉庫冷鏈倉庫等等他們有沒有在消防的裡面被正式的納管
transcript.whisperx[226].start 7093.407
transcript.whisperx[226].end 7121.996
transcript.whisperx[226].text 我們曾經在院會裡面正式報告也討論過這一個事情所以我們也對於這個管制的方式有請內政部、消防署能夠跟地方政府也要加強的合作配合來處理這個事情你這樣講說加強配合然後應該要做對我們都知道應該要做嘛剛剛我講了不管是基於為這個小市民來做代言或者是從救災人力的節省跟預防的角度來說我們這邊都有非常好的共識對不對就是我們應該要做這件事情但現在做了沒有
transcript.whisperx[227].start 7122.639
transcript.whisperx[227].end 7122.979
transcript.whisperx[227].text 現在清不清楚
transcript.whisperx[228].start 7137.229
transcript.whisperx[228].end 7154.077
transcript.whisperx[228].text 我可不可以補充一下跟委員報告一下就消防員救災的角度來看在那個工廠管理輔導法以及我們消防法裡面要注意的是有關他這個工廠在儲存這些物資的時候是否有確實申報尤其我們有關於這個危險物質的部分
transcript.whisperx[229].start 7154.737
transcript.whisperx[229].end 7172.376
transcript.whisperx[229].text 這一點我們從消防署的角度上面已經有加強也就是說出去救災的消防人員他們出去救災的時候馬上就知道說他的工廠裡面到底儲放什麼樣的物質這是最重要的一點再來一點就是說第一個倉儲跟工廠的所在地或是公司的所在地有時候是距離比較遙遠
transcript.whisperx[230].start 7173.357
transcript.whisperx[230].end 7188.292
transcript.whisperx[230].text 所以他的防火或者他的滅火措施被忽略掉那這一點我們會從工廠管理輔導法跟我們消防法一起來補足會跟縣市政府來努力來改善現在我們認為會發生比較大的火警甚至造成比較大的傷亡的部分做改善
transcript.whisperx[231].start 7188.792
transcript.whisperx[231].end 7210.42
transcript.whisperx[231].text 回答得不錯但差了點勇氣其實我希望從院長裡面就直面問題就以現行的機制來講其實這個納管也好申報也好都還有若干的改進之處其實是不夠的包含我們現在的倉儲其實定位是不明確的我跟你講工廠很明確工廠有一套所謂剛剛部長也講了叫做工廠管理輔導法裡面有消防的設備配置等等一些配套措施但是倉儲
transcript.whisperx[232].start 7211.4
transcript.whisperx[232].end 7228.929
transcript.whisperx[232].text 有在工廠管理輔導法裡面嗎?其實是沒有的嘛對不對?那麼以我們目前現在消防法的規範:也沒有任何的條文去提到倉儲的部分應該要怎麼處理不過報告委員我們的消防署呢非常的認真就是說只要他有申報的話呢有任何火災的狀況呢站在我們的立場一定都會是遲緣的
transcript.whisperx[233].start 7230.186
transcript.whisperx[233].end 7250.902
transcript.whisperx[233].text 當然是遲緣我們現在講的是我心裡總是看到火災的時候我總是感念消防弟兄的付出甚至看到他們犧牲的時候我是非常傷痛的但是我們之所以去強調這個事情就是防災要重於救災我們如果前期的配套措施做得好前期的制度設計的是好的預防於前其實就是幫第一線要進去打火的弟兄減輕負擔可是現行的規制裡面倉儲
transcript.whisperx[234].start 7254.284
transcript.whisperx[234].end 7280.296
transcript.whisperx[234].text 也好這個部分的工廠甚至在申報的部分他其實是不夠確實的我現在看到行政院提出的消防法的版本裡面這個本席當然就有提自己的版本原因是什麼呢因為在行政院消防法的兩個問題第一個倉儲依然是被一個定位不明確的角度針對工廠他當然做了若干的修正針對消防員的權益也做了若干的努力這些本席都看在眼裡
transcript.whisperx[235].start 7280.856
transcript.whisperx[235].end 7305.962
transcript.whisperx[235].text 但是倉儲還是被漏掉了那本期的選區發生這麼重要的事情桃園市政府也在院會裡面屢次提及這件事情的重要但我在消防行政院院版的消防法裡面並沒有看到相關條文的修正所以我今天一定要用總諮詢的時間來跟院長跟部長做釐清原因就在這個地方本期提出的意見來就教於這個兩位這個倉儲當然應該要納管本期的主張是
transcript.whisperx[236].start 7307.142
transcript.whisperx[236].end 7308.943
transcript.whisperx[236].text 我為什麼要把一定規模以上的倉庫來做納入呢當然是因為先異後難嘛
transcript.whisperx[237].start 7327.798
transcript.whisperx[237].end 7343.189
transcript.whisperx[237].text 規模大的它造成的影響災損等等的強度是比較高的那我甚至在裡面也有一定的授權條款就是說哪一些倉庫哪一些類型可以讓中央主管機關來擬定這樣子我們就可以針對不同型態的比如你放倉儲裡面存放的東西其實五花八門啊
transcript.whisperx[238].start 7343.969
transcript.whisperx[238].end 7358.717
transcript.whisperx[238].text 他存的是易燃的油阿化學品阿這個紡織的棉布阿紙尿褲阿紙類品比如說林口PC Home的倉儲袋裡面都是衛生紙對不對那燒起來也是一發不可收拾那不能因為他是倉儲而不是工廠
transcript.whisperx[239].start 7359.477
transcript.whisperx[239].end 7378.287
transcript.whisperx[239].text 然後就在這個地方被漏掉本期覺得這是非常奇怪的所以在我們的版本裡面就提要備制並且申報這我講什麼叫備制什麼叫申報也是第二個問題就是我們在行政院目前消防法的版本裡面我們只看到了備制備制的意思就是我這個工廠的負責人我只要準備好說我裡面有些什麼就好
transcript.whisperx[240].start 7378.851
transcript.whisperx[240].end 7401.872
transcript.whisperx[240].text 但是我的準備不見得要讓政府知道啊我的備制萬一放在工廠的抽屜裡面大火燒起來他就在火場裡面的時候那備制變成這個流於表面我是覺得滿可惜的所以本席在這邊是主張啊不只是要備制也應該要申報對不對你要讓內政部讓消防弟兄非常清楚的了解可能發生火警的地方他的狀態是什麼
transcript.whisperx[241].start 7402.659
transcript.whisperx[241].end 7402.839
transcript.whisperx[241].text 法定人數不足
transcript.whisperx[242].start 7432.659
transcript.whisperx[242].end 7435.282
transcript.whisperx[242].text 公共安全及職業安全衛生的危害僅以場所管制
transcript.whisperx[243].start 7449.576
transcript.whisperx[243].end 7472.07
transcript.whisperx[243].text 並期望業者主動申報顯緣木求魚這就是我想法條有若干缺失可以改善的地方因為你只是期待他申報他不申報的時候到時候消防員就殉職了我們非常非常不希望看到這樣子的悲劇繼續重演這個沒有預防於前造成的後果我想是難以承載的輕叫做經濟損失
transcript.whisperx[244].start 7473.551
transcript.whisperx[244].end 7498.164
transcript.whisperx[244].text 中呢叫做公害平傳啦重的話他會出人命犧牲消防弟兄所以我希望在消防法修法的過程之中行政院可以更開放的態度接納不同的意見我剛剛聽總質詢這樣一路談下來其實我們的溝通是非常順暢的這個部長跟院長也用非常開放的心態接受了倉儲納管這樣子的一個概念這樣的概念我們在修法的時候我們可以一樣用這樣子的心態來討論嗎
transcript.whisperx[245].start 7499.449
transcript.whisperx[245].end 7524.001
transcript.whisperx[245].text 也謝謝委員希望能夠支持消防法趕快刪讀通過我們當然支持前面有一段沒有修就是因為我們這很重要的版本還沒有進來但進來之後我想我今天講院長我這樣目前為止講都還算很講道理謝謝委員的提醒如果現行送來的修法過程文字當中還不夠周圓我們共同來努力用最高標準的安全部長剛剛有提到雙軌併星所以消防法要修公服法也要修納進倉儲
transcript.whisperx[246].start 7527.764
transcript.whisperx[246].end 7529.594
transcript.whisperx[246].text 納進倉儲這是確定是我們行政院接下來推動的方向嗎
transcript.whisperx[247].start 7531.352
transcript.whisperx[247].end 7532.313
transcript.whisperx[247].text 時間跟委員報告
transcript.whisperx[248].start 7566.265
transcript.whisperx[248].end 7572.157
transcript.whisperx[248].text 好,謝謝牛委員,也謝謝卓院長發言會休息10分鐘,休息之後繼續進行質詢,現在休息
transcript.whisperx[249].start 8249.714
transcript.whisperx[249].end 8277.137
transcript.whisperx[249].text 國安委員會現在繼續開會 請王委員育敏質詢謝謝主席 我們是不是有請卓院長請卓院長備選王委員好 院長好 院長請問你就任到現在有沒有去過阿里山
transcript.whisperx[250].start 8278.496
transcript.whisperx[250].end 8291.795
transcript.whisperx[250].text 有一次小火車搭到鐵路不能通的地方有去過嗎有去過那你有跟當地的居民聊過天嗎那天主要是看鐵道修復的狀況所以沒有扣嗎比較沒有 對
transcript.whisperx[251].start 8293.086
transcript.whisperx[251].end 8314.957
transcript.whisperx[251].text 你在你的施政報告裡面有提到說你每天最重要的工作你都是把人放在第一優先對不對我有觀察到你這次的施政報告你試圖帶入比較有溫度的你就是把人到每一個場域你看到的人的感受都放進去基本上我非常肯定這一點因為執政其實就是要為人民服務
transcript.whisperx[252].start 8316.298
transcript.whisperx[252].end 8332.151
transcript.whisperx[252].text 接下來我就要請教你這次的國土計劃法就是他明年4月要上路的這件事情其實很多的農民特別是在農業縣農民都非常的焦慮他們的焦慮感他們的心聲你有感受到嗎
transcript.whisperx[253].start 8333.817
transcript.whisperx[253].end 8350.831
transcript.whisperx[253].text 我們有充分感受到所以我們是請農業部跟內政部積極跟大家來說明是不是有不了解的地方試圖能夠讓大家了解之後這個法是不是能夠順利的推動對我跟部長我跟院長報告到目前為止農民的焦慮沒有解除
transcript.whisperx[254].start 8351.471
transcript.whisperx[254].end 8363.036
transcript.whisperx[254].text 我最近才上到阿里山山上跟山上的農民在晚上的時間大家坐下來聊天我認真的聽他們的心聲我現在也要把他們的心聲講給院長聽
transcript.whisperx[255].start 8365.23
transcript.whisperx[255].end 8381.115
transcript.whisperx[255].text 他們非常的焦慮有的人他其實是已經很早就上山去開墾在那邊工作他很擔心這個法通過之後他熱愛的這個土地他以後沒有辦法在那邊工作有的人在那邊
transcript.whisperx[256].start 8382.075
transcript.whisperx[256].end 8397.968
transcript.whisperx[256].text 主先留給他們的茶農土地但是兄弟分一分之後土地沒有多少了但是我現場很感動的是有一個青農他的兒子大學二年級他也來現場他反映他的心聲他假日他現在在幫他爸爸工作
transcript.whisperx[257].start 8398.268
transcript.whisperx[257].end 8398.448
transcript.whisperx[257].text 國土計畫法
transcript.whisperx[258].start 8421.536
transcript.whisperx[258].end 8448.747
transcript.whisperx[258].text 大筆一揮說我們這邊是大面積的崩塌但是他說他在那邊幾十年從來沒有崩塌過但是他被化為是這樣的地方然後一直廣告一直宣傳說他是大規模崩塌地人家都嚇得不敢來阿里山這樣一個地方是國際觀光著名的地標我們都希望爭取國際觀光客來可以上到阿里山阿里山的產業阿里山的高山茶我不曉得院長有沒有喝過應該有吧
transcript.whisperx[259].start 8449.948
transcript.whisperx[259].end 8466.185
transcript.whisperx[259].text 非常好 國際馳名 國人也非常熱愛他現在還有阿里山的咖啡你有喝過嗎 有 有喝過嗎 量太少了對 量太少所以 農民他們的焦慮是他們想要在這片土地他們在山上有的很久了他們想要認真的繼續工作繼續經營繼續把
transcript.whisperx[260].start 8470.209
transcript.whisperx[260].end 8470.269
transcript.whisperx[260].text 國土計劃法
transcript.whisperx[261].start 8493.706
transcript.whisperx[261].end 8509.981
transcript.whisperx[261].text 但是這一點即使嘉義縣政府開過了說明會嘉義縣政府也已經把這個分區圖送給中央了但是當地你可以看到所有的農民山上的農民一片的焦慮感問題通通都沒有解決
transcript.whisperx[262].start 8511.162
transcript.whisperx[262].end 8530.872
transcript.whisperx[262].text 在這樣的情況底下我們要怎麼上路請問一下部長這樣要怎麼上路報告委員我跟您補充一下第一個農一農二的劃法跟現在的區域計劃法完全一模一樣然後再加上一個阿里山如果現在是一個觀光風景區的話
transcript.whisperx[263].start 8531.992
transcript.whisperx[263].end 8558.207
transcript.whisperx[263].text 嘉義縣政府跟我們討論過我們也許可以按照一個阿里山鄉鄉村地區整體規劃也就是把它變成是個鄉階計劃法的方式來推動剛剛你講的民宿也好或是有關阿里山的這些小商店家都把卡蘭農說在裡面變成是個很好的一個地標來發展而不是外界所說的你化成國土計劃法就不能用然後農地都完全不能繼承是完全相反的我想有些人呢
transcript.whisperx[264].start 8559.207
transcript.whisperx[264].end 8573.583
transcript.whisperx[264].text 信息不太明確所以我們很願意再去阿里山鄉跟他們溝通我要跟你說的是農民當天就跟我反映他說縣政府這個答應他們就是說不會化成國一結果送上來你看這張圖
transcript.whisperx[265].start 8576.045
transcript.whisperx[265].end 8589.381
transcript.whisperx[265].text 這張圖整個阿里山地區國藝就是深綠色這一片幾乎通通都是那天晚上鄉親他們那麼焦慮的座談就是政府嘴巴答應我的跟實質送出來的其實是不一樣的
transcript.whisperx[266].start 8590.362
transcript.whisperx[266].end 8606.878
transcript.whisperx[266].text 多數地方都被劃為國一了他們知道的情況是這樣他們自己也會去打聽他說原來答應我這個土地不會是國一的也都變成國一了他說不會結果通通劃成國一而且在你們現在的辦法裡面你知道你們的土是怎麼劃出來的嗎你們是用套土
transcript.whisperx[267].start 8608.52
transcript.whisperx[267].end 8631.358
transcript.whisperx[267].text 鄉親還告訴我的是說都沒有來實際的場勘沒有一個實際找專業人士來探勘就說我的土地說是國一就是國一而且他說縣府就是用資料套土嘛你們就是大筆一揮而且不到兩公頃的地方不是國一的也可以畫為國一為了畫起來的圖更好看更完整
transcript.whisperx[268].start 8632.279
transcript.whisperx[268].end 8655.395
transcript.whisperx[268].text 我要告訴部長我要告訴院長的是說財產涉及到每一個人民他最在乎的事情但這些事情我們絕對不可以便宜行事也不可以非常粗糙粗暴的就直接套土的方式然後就判定他的土地是屬於什麼農民是可以被溝通的也是可以被說服的
transcript.whisperx[269].start 8656.235
transcript.whisperx[269].end 8680.108
transcript.whisperx[269].text 那我很感動的是他們是熱愛那個地方想要好好經營他不是想要去徒利變賣土地什麼的國益這邊很多的農民他們的情況他們是想要好好留在原地耕作好好保護這塊土地他們也知道水保的重要但是他說可不可以給我們一條路在兼顧保育水保跟他們的產業發展之間
transcript.whisperx[270].start 8681.67
transcript.whisperx[270].end 8684.414
transcript.whisperx[270].text 給他們一個路可以走可不可以
transcript.whisperx[271].start 8696.431
transcript.whisperx[271].end 8722.307
transcript.whisperx[271].text 沒有到現場會刊也表示說功能分區圖送上來的時候我們還沒有完全審查完成審查作業的情況之下如果我們農民有這些意見我們會接到這個意見馬上要去進行就是說是不是真的是國土保育需要的如果你沒有隨便亂畫我們也不希望用這種比較粗糙的方式處理功能分區圖所以我剛有跟委員報告現在縣政府跟我們在處理有關的阿里山鄉的鄉村地區的整體作業
transcript.whisperx[272].start 8723.268
transcript.whisperx[272].end 8738.337
transcript.whisperx[272].text 就是要回復剛剛所說的這些阿里山的居民們他們對這方面的疑慮那我們願意的很誠懇來回答這個問題因為我們相信在阿里山鄉的這些朋友們他們不是為了炒作農地也不是財團炒作都是祖先留下來的
transcript.whisperx[273].start 8738.977
transcript.whisperx[273].end 8766.552
transcript.whisperx[273].text 而且他們更了解現場的狀況如果他願意把現場的狀況告訴我們讓我們來套疊現在我們所知道的地質上的變化如果沒有真正是屬於潛在危險區或是環境敏感區的話他不應該用這樣比較粗糙的方式全部一塊就把它劃進去那部長我就問你你這個補救措施是要怎麼個做法因為我到9月份去到現場的時候根本也沒有這樣的座談也沒有這樣的說明
transcript.whisperx[274].start 8767.392
transcript.whisperx[274].end 8782.96
transcript.whisperx[274].text 他們就告訴我,就是縣府已經把功能分區土送上來,他們就是國宜,這是送上來的焦慮我跟委員報告,在董事群開始的第一天,到現在很多委員都關心過國土計畫法這個事情那第一天蔡議員也提過這個事情
transcript.whisperx[275].start 8785.521
transcript.whisperx[275].end 8808.595
transcript.whisperx[275].text 所以我特別去了解現在嘉義縣政府在辦理一個剛剛部長說的阿里山鄉村地區整體規劃作業目前縣政府嘉義縣政府在按照各地的需求應該是有計劃在這裡做一個各地因地制宜的使用的管制規則況且功能圖送上來之後內政部還要做第二次的審查我覺得這個我們會更嚴謹的進行
transcript.whisperx[276].start 8811.118
transcript.whisperx[276].end 8837.264
transcript.whisperx[276].text 對現在你們最大的問題是其實細膩度是完全不夠的因為急著明年的4月要上路包括其實這個部長你們自己該完成的執法你們現在還有8項只是完成預告都還沒有經過你們的法規會的審議預告就是表示已經經過我們法規會審議只有一項是屬於這個土地管制上面需要做罰則的部分我認為罰則的部分盡量往後延所以只有一項還沒有處理
transcript.whisperx[277].start 8837.984
transcript.whisperx[277].end 8865.523
transcript.whisperx[277].text 所以你這個還沒有都完成你的程序啊公告需要長達60天以上的時間是啊所以你們現在這個執法都還沒有正式完成所有的公告之前就急著上路我要問一個問題是到目前為止22個縣市首長裡面有哪幾位首長是支持國土計劃法在明年4月如期上路我們現在送到內政部來的是一共有13個縣市政府是啊對
transcript.whisperx[278].start 8866.792
transcript.whisperx[278].end 8886.233
transcript.whisperx[278].text 所以沒有送上來的送上來就代表他認同嗎?其實包括嘉義縣的翁章良縣長他真的認同嗎?他之前他在上半年的時候他曾經有發表一個談話他希望國土計畫法要延期上路他送上來是送上來了但是你真的認為送上來的縣市首長
transcript.whisperx[279].start 8886.874
transcript.whisperx[279].end 8914.517
transcript.whisperx[279].text 他們希望這個國土計畫把明年如期上戶我想翁縣長他的本意是希望說我們有完整的配套措施那這個完整的配套措施現在就還沒有啊 除了內政部跟農業部都要能夠一起來進行那這一點我們會努力來改進所以我覺得這件事情真的可以再好好的去跟鄉親溝通院長我要告訴你的就是說這個人真的是很重要就是像嘉義縣這樣的地方
transcript.whisperx[280].start 8915.077
transcript.whisperx[280].end 8928.913
transcript.whisperx[280].text 他多數其實就是被劃在國土保育區但是如果說因為這樣子他就沒有辦法生計產業無法發展我覺得這樣也是不對的我們應該可以在保育跟生計跟產業發展之間
transcript.whisperx[281].start 8930.194
transcript.whisperx[281].end 8930.214
transcript.whisperx[281].text 委員:
transcript.whisperx[282].start 8949.665
transcript.whisperx[282].end 8949.845
transcript.whisperx[282].text 國家必須有
transcript.whisperx[283].start 8968.41
transcript.whisperx[283].end 8968.55
transcript.whisperx[283].text 主席
transcript.whisperx[284].start 8991.139
transcript.whisperx[284].end 8991.739
transcript.whisperx[284].text 我希望這個法要暫緩實施先溝通再上路
transcript.whisperx[285].start 9013.624
transcript.whisperx[285].end 9038.57
transcript.whisperx[285].text 第2個是不是可以請部長你到第一線去聽聽鄉親真正的意見到目前為止我想你得到的都是間接式的傳達上來到目前為止你有到第一線去開過任何一場公聽會真的聽到農民第一線的心聲嗎我們大概是跟一些團體然後跟縣市政府一起開會在中部地區有開過有沒有跟農民面對面的農會有
transcript.whisperx[286].start 9042.552
transcript.whisperx[286].end 9056.247
transcript.whisperx[286].text 我真的強烈建議部長你可以到第一線去你聽到的就會是最真實的聲音如果你願意到嘉義縣來的話本席也願意陪你一起來聽這些農民的聲音你看你的時間
transcript.whisperx[287].start 9057.288
transcript.whisperx[287].end 9057.448
transcript.whisperx[287].text 是的 謝謝委員
transcript.whisperx[288].start 9074.275
transcript.whisperx[288].end 9100.546
transcript.whisperx[288].text 那接下來呢我要再問一個是關於這個一樣是國土的問題但是是不一樣的情景我們現在在推動這個光電是如火如土但是一方面我們重視國土保育但是對於光電業者呢我們其實是毫不設防他們好像想怎麼蓋愛怎麼蓋通通都沒有問題甚至這個部長你是不是有Quota的壓力你連你的這個
transcript.whisperx[289].start 9102.046
transcript.whisperx[289].end 9119.543
transcript.whisperx[289].text 你自己所掌管的國家公園你一開始都還要去大量鋪設這個光電板是不是報告委員這個完全錯誤第一個我們現在國家公園有管理中心就是在國家公園裡面但是他們在重建或是建造的過程當中他們用的是燃油發電機
transcript.whisperx[290].start 9120.424
transcript.whisperx[290].end 9142.733
transcript.whisperx[290].text 那這些對於國家公園來講我們要求的是碳排所以我要求國家公園的管理中心自己本身的房舍或者是民宿的那些地方未來他們就是要用太陽能發電減少到處設立一些電線桿要從我們的台灣的平地上面輸送電到上面去只是這樣而已沒有其他的任何計畫
transcript.whisperx[291].start 9145.334
transcript.whisperx[291].end 9160.266
transcript.whisperx[291].text 我們7、8個國家公園所產生的碳排量總共就3000多噸而已所以其實並不多我想外界做太擴大的解釋對於未來我們在國家公園的管理上反而是很大的困擾因為你們這樣子連環團都跳出來講話沒有沒有環團是支持我們的
transcript.whisperx[292].start 9164.949
transcript.whisperx[292].end 9182.156
transcript.whisperx[292].text 好所以這個部分我希望這個要有把關的機制另外一個我要跟院長也是人民要跟院長請命這個在嘉愛縣有一個地方叫大埔大埔這個地方我想兩位可能還沒有機會上到這麼遠的地方曾文水庫有部分就是在大埔下
transcript.whisperx[293].start 9182.876
transcript.whisperx[293].end 9209.511
transcript.whisperx[293].text 那大埔的居民現在也是一樣很困擾就是在他們熱愛這片土地上面的光電業者進來了然後不需要經過他們的同意然後這些光電板愛怎麼鋪設就怎麼鋪設愛怎麼蓋就怎麼蓋他蓋到連這個當地的議員議會都做成決議要求光電業者要停工可是有沒有效
transcript.whisperx[294].start 9210.353
transcript.whisperx[294].end 9230.052
transcript.whisperx[294].text 沒有強制力沒有效他繼續施工繼續蓋然後呢這個議員帶著鄉親到現場去抗議到嘉義縣政府去抗議有沒有效沒有效縣長說那就是請光電業者跟這個居民就是多溝通那你知道他蓋到什麼樣的情況嗎這個圖讓這個
transcript.whisperx[295].start 9233.697
transcript.whisperx[295].end 9258.787
transcript.whisperx[295].text 院長跟部長看一下這是人民的苦就是它的光電板布滿了這個學校跟老人活動中心的旁邊你看到的這個建築物這個建築物裡面就是有在供餐但是老人的食堂然後它旁邊通通都是光電板它不是在屋頂發電它是旁邊布滿了光電板
transcript.whisperx[296].start 9259.827
transcript.whisperx[296].end 9277.456
transcript.whisperx[296].text 居民非常的無力然後抗議然後通通都沒有用那這一個業者呢我想可能他也是仿照這個臺南有個弊案小二甲弊案這個院長應該非常清楚當時他就是規避嘛他就是一塊一塊這樣子
transcript.whisperx[297].start 9278.536
transcript.whisperx[297].end 9291.625
transcript.whisperx[297].text 那聽說這案也是就是他就是不同的以為是在自己家屋頂就是蓋光電板所以沒有問題不需要太多審查結果這個化整為領的模式一個一個進來就變成是這樣子一大片
transcript.whisperx[298].start 9292.639
transcript.whisperx[298].end 9318.027
transcript.whisperx[298].text 那這個也沒有環境評估它的光害你可以看到嘛這麼大片它不是在屋頂喔它是在比較低的地方這陽光一照射產生的光害這也沒有辦法管然後現在極端氣候那個產生的熱鬧現在整個的熱氣上來也沒有辦法管請問這個怎麼辦人民怎麼辦人民要跟誰求助地方政府看起來沒有辦法
transcript.whisperx[299].start 9319.306
transcript.whisperx[299].end 9319.326
transcript.whisperx[299].text 國務委員
transcript.whisperx[300].start 9342.383
transcript.whisperx[300].end 9360.573
transcript.whisperx[300].text 跟各地的地方政府也要合作 針對一些不法那這件看起來他就算不是不法 也是不當的問題那怎麼辦呢這是嚴重的不當啊然後我覺得老百姓真的很苦欸求助縣府也沒有用欸縣議會都已經要求他停工了也約束不了 那我們中央
transcript.whisperx[301].start 9361.053
transcript.whisperx[301].end 9362.033
transcript.whisperx[301].text 中央有哪一個部會可以受理人民的陳情
transcript.whisperx[302].start 9378.124
transcript.whisperx[302].end 9389.934
transcript.whisperx[302].text 我現在是有一個平台這個平台雖然是犯罪的平台不是犯罪阿我說有一個受理犯罪的平台那另外就是說我們也希望地方政府能夠負起責任比如說我那天到台南我就發覺說
transcript.whisperx[303].start 9391.348
transcript.whisperx[303].end 9391.789
transcript.whisperx[303].text 院長我就問你
transcript.whisperx[304].start 9413.616
transcript.whisperx[304].end 9438.185
transcript.whisperx[304].text 像這樣子的一個情況我看到幾個問題第一個光天夜人他的設置他完全不需要居民的同意以我剛剛給你看的這張圖那個就是看起來很離譜但是他完全不需要當地居民的同意他只要有辦法取得用地他就可以蓋那這個怎麼辦雲林縣縣長我記得他也曾經反映過就是說現在的評估裡面都不需要有居民同意的這一項
transcript.whisperx[305].start 9439.105
transcript.whisperx[305].end 9465.402
transcript.whisperx[305].text 那結果人民就束手無策啊因為不需要經過我們同意啊光電業者只要有辦法取得土地他愛怎麼蓋就怎麼蓋所以我覺得這個部分應該要讓居民有同意權了第二個民生聚落當中學校醫院老人長照中心這附近可以這樣子嗎就是如入無人之境然後鋪滿了光電板嗎這個部分完全沒有去設這個整個光電板面積的上限
transcript.whisperx[306].start 9465.942
transcript.whisperx[306].end 9493.468
transcript.whisperx[306].text 這完全是不符合比例嘛我們當時鼓勵設置光電是在空曠的大範圍的而且不是在農業用地上面的大量鋪設這一種已經是社區式的民宅它還不是在每一個人住家上面的屋頂它不是屋頂啊它是在旁邊的空地上面鋪滿了這樣的一個光電板這樣子可以嗎第三個人民就是沒有求助的管道中央目前為止我看不到任何一個部會可以受理人民的陳情啊
transcript.whisperx[307].start 9494.268
transcript.whisperx[307].end 9513.926
transcript.whisperx[307].text 經濟部不用講他是跟光電業者一起的他們要共同開發的那還有哪一個部會可以受理人民像這樣子求助無門欸院長我希望你回去之後你是不是可以去研議開會討論一下如果地方還有這種爭議人民求助無門的你應該要指定一個部會指定一個窗口來受理這樣的案件吧
transcript.whisperx[308].start 9514.286
transcript.whisperx[308].end 9514.626
transcript.whisperx[308].text 這一個案子呢我希望這個
transcript.whisperx[309].start 9544.502
transcript.whisperx[309].end 9565.859
transcript.whisperx[309].text 部長跟院長真的要好好正式處理剛剛上午我有聽到這個院長在回答委員質詢說其實一塊錢都不能浪費我也很同意但是一塊錢都不能浪費在內政部審理的計畫當中我就看到了這個疑似有圖利的情況這個要好好的嚴查嚴辦
transcript.whisperx[310].start 9567.932
transcript.whisperx[310].end 9575.651
transcript.whisperx[310].text 我先請教這個部長你的內政部永續提升人行安全計畫你現在總共
transcript.whisperx[311].start 9577.489
transcript.whisperx[311].end 9602.696
transcript.whisperx[311].text 就是送出來的計劃有幾案你知道嗎全國各縣市相當的多但是我們通過的沒有那麼多因為現在只有剩下下半年的時間而已對 送了262案你只通過175案高達27億然後你這個是全國競爭型的你這一個人行安全計劃你是要有急迫性的要優先補助
transcript.whisperx[312].start 9604.011
transcript.whisperx[312].end 9609.485
transcript.whisperx[312].text 然後卓院長你要建立一個以人為本的交通環境我們就來看接下來這個案子
transcript.whisperx[313].start 9610.738
transcript.whisperx[313].end 9635.023
transcript.whisperx[313].text 這個案子呢 這個表格上面這10件的案子當中 有一件喔它是道路改善工程計劃 你們核定了1500萬其他所有的案子都是通學步道 都是國中國小或是人行道的改善其中有一案呢 通過了1500萬 它是道路改善工程計劃
transcript.whisperx[314].start 9636.423
transcript.whisperx[314].end 9656.532
transcript.whisperx[314].text 我讓兩位看一下這個圖他要改善什麼樣的道路呢這個是在嘉義縣水上鄉這個道路呢大家看到這個圖他有一間私人的殯儀館正在興建當中他要改善的這個道路呢旁邊都沒有住家也沒有學校
transcript.whisperx[315].start 9657.708
transcript.whisperx[315].end 9677.907
transcript.whisperx[315].text 然後這個旁邊這個實照圖也沒有商圈更不是都市計畫區之內那這個地方我實地有去看了一下我最近常常在跑家有些我有去看你不要說行人車輛都很少然後就是有一間興建中的私人的殯儀館
transcript.whisperx[316].start 9679.773
transcript.whisperx[316].end 9708.486
transcript.whisperx[316].text 那不知道他的急迫性在哪裡這個是這個是以人為本基本上要有一些行人吧對不對看起來這個是非常偏僻的一個地方然後重點是你們在審查會議的時候審查委員的意見這個兩位請一下現地人車流量低交通量低
transcript.whisperx[317].start 9710.117
transcript.whisperx[317].end 9735.209
transcript.whisperx[317].text 表示說沒什麼人也沒什麼車他說建議考量人行通道的連續性因為看起來他沒有這個不是連續性的行人通道委員更說基於都市計劃區外周邊土地使用非居民的居住地
transcript.whisperx[318].start 9736.471
transcript.whisperx[318].end 9737.711
transcript.whisperx[318].text 最後一個委員這個很關鍵本案似乎是以道路拓寬為主要目的
transcript.whisperx[319].start 9767.307
transcript.whisperx[319].end 9783.373
transcript.whisperx[319].text 請教院長如果一個案子是以道路拓寬為主要目的當地不是都市計劃區內也不是學校也沒有人行然後有一個興建中的殯儀館這個案子為什麼可以通過
transcript.whisperx[320].start 9784.729
transcript.whisperx[320].end 9807.318
transcript.whisperx[320].text 報告委員我想您提到的這個部分我們來審查我們來查一下因為計劃審查的過程當中通常我們會委託學者專家那他所提的這個案件送到我們內政部的國土署在審查的過程當中為什麼最後是核定1500萬您剛有提到黨土牆其實在人行道的安全上面黨土牆確實是有必要的
transcript.whisperx[321].start 9808.158
transcript.whisperx[321].end 9818.232
transcript.whisperx[321].text 但是他如果是以道路拓寬為主要目的的話可能跟你剛所說的是競爭型的計畫完全是不太相關讓我們有時間來查一下再跟委員來報告好嗎
transcript.whisperx[322].start 9819.505
transcript.whisperx[322].end 9845.152
transcript.whisperx[322].text 我希望院長可以回答一下 院長你這樣聽完沒有覺得你說一塊錢都不應該浪費吧那一塊錢都不應該去圖利私人的業者那這個案子你這樣子 如果你是審查委員的話聽到審查委員講的這麼多連計畫的名稱跟原來要改善這個人行安全通通都無關他計畫就大剌剌的寫著道路改善工程
transcript.whisperx[323].start 9846.172
transcript.whisperx[323].end 9873.948
transcript.whisperx[323].text 那這樣的案子夾雜的上來在審查會議當中如果你作為會議主席你會讓這樣的案子過嗎是 謝謝委員 審查委員當然是秉於專業來看交通的設施他也提出很多意見當事者有一定有提出他的需求我想還是請內政部去了解一下審查的過程甚至地方政府為何提出這樣的一個需求他的真正的用意目的到底在哪裡我們要了解之後才讓這個
transcript.whisperx[324].start 9875.718
transcript.whisperx[324].end 9904.048
transcript.whisperx[324].text 補助能夠有效或是做其他的考慮的執行但是一定要聽聽當事者的地方政府提出這個需求跟理由你不覺得這個當中有很大的弊端的存在嗎怎麼會這麼的奇怪呢其他的案子都很正常改善通學步道我想這個是也是落實你說以人為本嗎真的有人潮的我們才在做這件事嗎但是沒有的為什麼可以送上這樣的一個案子
transcript.whisperx[325].start 9904.768
transcript.whisperx[325].end 9915.996
transcript.whisperx[325].text 而且還通過了那你要不要查院長我問你你要不要去徹查我會請內政部完全充分了解
transcript.whisperx[326].start 9917.213
transcript.whisperx[326].end 9945.404
transcript.whisperx[326].text 要調查吧要調查要好好的調查吧我在一頁提供你一個資訊參考這一個殯儀館現在在興建當中過去它其實在地方上有一些爭議它是山坡地保育地變更為殯葬用地而且它很巧妙的規避了這一個一萬平方公尺需要還平的規定就9989平方公尺
transcript.whisperx[327].start 9946.465
transcript.whisperx[327].end 9974.579
transcript.whisperx[327].text 那這當中當然還涉及了這個過去這個企業呢他其實曾經停業然後又變成另外一家公司然後過去在另外一家企業的時候有當時時任立委的子女還在裡面擔任董事這個在地方上面大家議論紛紛那我不知道這一件事情跟這一家殯儀館到底有沒有關係但是我們再回放我們去看剛剛給大家看的那個圖就是
transcript.whisperx[328].start 9976.941
transcript.whisperx[328].end 10001.34
transcript.whisperx[328].text 這個實景圖就是長這樣子了就是這個可能你們要好好去調查到底這當中有沒有什麼相關聯因為真的是路上就是沒有住家跟商圈沒有行人跟車流那它就不是在都市計畫那它改善的路段為什麼這個是人行安全不懂沒有人在行走的為什麼是改善人行安全
transcript.whisperx[329].start 10002.02
transcript.whisperx[329].end 10019.136
transcript.whisperx[329].text 那我們真的就只有看到一家的私人殯儀館還在興建當中那這當中不曉得有沒有任何的關係所以今天利用總質詢我想因為院長在我也希望把這樣的情況就是讓院長你可以了解
transcript.whisperx[330].start 10019.756
transcript.whisperx[330].end 10046.326
transcript.whisperx[330].text 那你有說過一塊錢都不應該浪費嘛那我認為一塊錢也都不應該去圖利私人如果有圖利的行為這是絕對不允許的因為以剛剛講的這些計劃當中送來的那麼多案子262案只通過175案我不知道這當中還有多少人家是真正要改善人行道
transcript.whisperx[331].start 10047.026
transcript.whisperx[331].end 10075.584
transcript.whisperx[331].text 行人安全的計畫被排除在外結果你們通過了一件是這種跟這個八竿子打不著的是道路拓寬計畫的案子夾雜在裡面而且經費還高達1500萬這件案子 院長你是不是承諾你真的會好好去調查你讓人民知道真相到底是什麼好不好會請內政部好好去瞭解這個事情瞭解之後馬上向委員說明好 我希望這個院長好好把事情來龍去脈調查清楚我們也不允許這樣的情況
transcript.whisperx[332].start 10076.994
transcript.whisperx[332].end 10083.708
transcript.whisperx[332].text 好,謝謝王委員、謝謝卓院長下一位我們請王世堅委員質詢
transcript.whisperx[333].start 10121.239
transcript.whisperx[333].end 10145.758
transcript.whisperx[333].text 主席我請卓院長請卓院長備詢副委員好卓院長好辛苦了隔了三個多月我知道這三個多月你應該
transcript.whisperx[334].start 10146.877
transcript.whisperx[334].end 10174.946
transcript.whisperx[334].text 也對我們行政院的願務應該是策略許多我在開場之前我一樣先送你一項禮物那麼對你做一些期許我要送你一個我們認識台灣我們台灣的拼圖我希望
transcript.whisperx[335].start 10175.851
transcript.whisperx[335].end 10201.683
transcript.whisperx[335].text 你能夠以大愛大公無私的精神把我們全國全台灣22縣市拼在一起拼在一起我們應該團結和諧互助互愛在古書上面老子有一句話大方無語呀
transcript.whisperx[336].start 10204.366
transcript.whisperx[336].end 10231.436
transcript.whisperx[336].text 真正大的形狀是沒有角落的也就是說我們看待我們自己國家我們不能讓我們國家有任何陰暗的角落最高的政治道德就是應該為我們2300萬人民不分藍綠白不分他的信仰
transcript.whisperx[337].start 10232.591
transcript.whisperx[337].end 10255.479
transcript.whisperx[337].text 那我們要團結在一起這就是你身為最高行政首長你最首要的任務所以我送這個圖案的意義就是祈勉你要忍辱負重 任重道遠
transcript.whisperx[338].start 10267.13
transcript.whisperx[338].end 10267.471
transcript.whisperx[338].text 委員會主席
transcript.whisperx[339].start 10293.675
transcript.whisperx[339].end 10320.767
transcript.whisperx[339].text 我們這幾天看到的不管是電視、廣播、網路最大的一項我們政府的宣傳現在我們集中在打詐事法通過了我們要一致的打詐可是我看到的成績我實在是很不客氣的講
transcript.whisperx[340].start 10322.165
transcript.whisperx[340].end 10350.776
transcript.whisperx[340].text 政府打詐越打越詐天啊我們前年111年2萬9千件的詐欺金額財產損失73億到去年啊院長去年高達3萬8千件已經增高到88億元今年更慘
transcript.whisperx[341].start 10352.574
transcript.whisperx[341].end 10373.632
transcript.whisperx[341].text 今年尤其是我們宣告了好不容易7月份通過了打詐專法結果呢打詐專法通過以後這些詐騙集團集體的向我們政府公權力挑釁宣戰
transcript.whisperx[342].start 10375.919
transcript.whisperx[342].end 10401.408
transcript.whisperx[342].text 今年7月打在中法通過以後今年7月光是詐騙金額高達110億不打緊8月更高又提升27億137億天啊光是喔光是今年7月一個月
transcript.whisperx[343].start 10402.588
transcript.whisperx[343].end 10416.068
transcript.whisperx[343].text 就抵去年一整年當然也贏過前年一整年8月更是給我們政府重重一擊不打緊
transcript.whisperx[344].start 10418.849
transcript.whisperx[344].end 10434.325
transcript.whisperx[344].text 委員我先說明一下我不敢否認說打砸的事件還是很多但是數字的差距是我們在計算呈現出來的標準是不一樣的
transcript.whisperx[345].start 10435.38
transcript.whisperx[345].end 10464.444
transcript.whisperx[345].text 這個部分 呃 劉部長在先前的答詢也答詢過我請劉部長再說明一次委員跟你報告一下我們以前在算打詐的案 把他當成刑案譬如說現在在打詐呢 可能有一群人十幾二十個人的話是算一個案但是現在呢 我們在院長的指示之下呢不能夠用這樣的方式只要一案一個人就算一個案一案十個人就算十個案那金額怎麼講對 但是金額怎麼辦案數增加 我知道
transcript.whisperx[346].start 10464.924
transcript.whisperx[346].end 10491.379
transcript.whisperx[346].text 我認為這就像火災一樣你們把認定的標準又放任官這個是好 這個是對另外在165報進來的時候就是報案人他的主觀上認定他損失多少金額我們就把它列進去這就是為什麼每天打詐儀表板都可以定時來公布這個打詐的案數跟打詐的財損數但是真正的部分要等我們變成全班刑案的時候來質詢我講到打詐儀表板齁
transcript.whisperx[347].start 10492.506
transcript.whisperx[347].end 10517.539
transcript.whisperx[347].text 我講到165我講到這個我就想到速發布這個速發布我簡單五個字飯桶速發布我不曉得他在幹什麼打詐的事情完全繞到警政署的手上人家警政署至少有做點事你剛剛講的165那就是只有警政署警政署做的院長你知道嗎警政署啊
transcript.whisperx[348].start 10518.459
transcript.whisperx[348].end 10529.83
transcript.whisperx[348].text 布置這165APP防詐的專網人家只花一千萬前幾天啊數位部搞了半天
transcript.whisperx[349].start 10531.263
transcript.whisperx[349].end 10556.71
transcript.whisperx[349].text 千呼萬喚使出來他搞一個APP花6千萬不打緊喔他那個6千萬的APP大家可以去看你現在上網馬上看看他上面的評語是怎麼樣花6千萬結果下面臭罵連連滿意分數5分來講他只有2.8分然後現在速發部
transcript.whisperx[350].start 10558.106
transcript.whisperx[350].end 10569.485
transcript.whisperx[350].text 做不了任何事情他每年就增加預算光這一點喔 院長那個部長你先等一下我先問一下院長對抒發部你要怎麼處理你覺得他們這樣做對嗎謝謝委員提醒
transcript.whisperx[351].start 10571.988
transcript.whisperx[351].end 10572.008
transcript.whisperx[351].text 委員長
transcript.whisperx[352].start 10595.138
transcript.whisperx[352].end 10612.354
transcript.whisperx[352].text 這個平台上網的時間 延後到年底希望再做改善我今天題外話講他啦 為什麼 因為他實在太飯多他明年的預算87億 比今年增加21%阿這也就算了 他那個APP你待會去看 他
transcript.whisperx[353].start 10614.113
transcript.whisperx[353].end 10624.841
transcript.whisperx[353].text 五天前上線這五天來負評如潮他的負評大概哪一些呢人家說找不到通報功能
transcript.whisperx[354].start 10626.358
transcript.whisperx[354].end 10652.432
transcript.whisperx[354].text 說介面差啦說使用中國的用語中共那邊的用語優化這個他都帶用中共那邊的用語再來呢通知後沒有結果這是最糟糕你看看人家警政署的165至少那個165的功能我那個院長你看一下我畫面上會放165的功能啦這麼多
transcript.whisperx[355].start 10654.575
transcript.whisperx[355].end 10673.872
transcript.whisperx[355].text 這麼多花一千萬這個飯桶數位部花六倍的錢下面負評如潮所以 院長我希望說你今天就下令他齁乾脆撤掉算啦全民就當作說這些錢丟到水裡面普通一生
transcript.whisperx[356].start 10675.154
transcript.whisperx[356].end 10675.354
transcript.whisperx[356].text 負責跟國外
transcript.whisperx[357].start 10702.956
transcript.whisperx[357].end 10713.43
transcript.whisperx[357].text 這些網路平台FB Google Line 所有這些的聯繫是由速發部他老兄一點能力都沒有 什麼都沒幹
transcript.whisperx[358].start 10715.621
transcript.whisperx[358].end 10743.828
transcript.whisperx[358].text 結果事實上我們很多可以用的比如說我們有跟臺日交流協會有做一個司法合作備忘錄他可以好好運用嗎他不我們跟美國也有臺美互助臺美司法互助已經20年的歷史他不懂那他可以好好來問警政署好好談一談所以我在想
transcript.whisperx[359].start 10745.936
transcript.whisperx[359].end 10751.537
transcript.whisperx[359].text 時間到了 不用給他機會啦 直接 要不然就直接由內政部
transcript.whisperx[360].start 10752.352
transcript.whisperx[360].end 10778.443
transcript.whisperx[360].text 由警政署直接藉由臺美司法互助藉由臺日我們之間的交流司法的合作那最有牽連的合作備忘錄啊我們趕緊跟他們來談說這樣這樣重大這些詐騙案如何讓LINE讓Google讓Facebook他們願意交通喔太多現在還設置的這些平台什麼Name這個
transcript.whisperx[361].start 10781.912
transcript.whisperx[361].end 10784.433
transcript.whisperx[361].text 主席是不是停一下我喝個水好嗎
transcript.whisperx[362].start 10813.01
transcript.whisperx[362].end 10813.571
transcript.whisperx[362].text 對很好有這句答覆我覺得這樣就
transcript.whisperx[363].start 10841.775
transcript.whisperx[363].end 10867.73
transcript.whisperx[363].text 我覺得很夠好我們的警察我用三句話形容老苦功高出生入死薪水過低那個院長部長你知道嗎今年光是到8月份的到前天的統計我們已經有8位警察自殺身亡
transcript.whisperx[364].start 10868.817
transcript.whisperx[364].end 10889.149
transcript.whisperx[364].text 那這5年來不連這8位時候我們有51件通報警察自殺但是有31位警察不幸身亡那我們查過這不幸身亡的警察裡面只有6位曾接受過
transcript.whisperx[365].start 10890.845
transcript.whisperx[365].end 10910.406
transcript.whisperx[365].text 所做的心理諮商也就是說我們那個心理諮商的覆蓋率太低了我們在努力改善檢討當中那我覺得這跟待遇非常有關現在你知道嗎 院長部長我們數十天大夜班的員工齊心 新進人員齊心4萬億
transcript.whisperx[366].start 10913.274
transcript.whisperx[366].end 10941.65
transcript.whisperx[366].text 我們做了五年的警察平均他們的薪水五萬二現在廣告說有啦警察招生廣告說薪水有六萬但是那個是含其他比如說首都都會加急吼還有含加班費等等那所以我總而言之一句話這個結果會導致什麼導致我們現在警察的人數嚴重不足
transcript.whisperx[367].start 10942.31
transcript.whisperx[367].end 10968.676
transcript.whisperx[367].text 到去年底我們全國總共缺了五千位警察所以院長部長這一點我們要積極下去做好不好那我最後一個問題因為昨天凌晨在社子島又發生一個火災那個火災還不算大型的結果燒死一位民眾有五位嗆傷
transcript.whisperx[368].start 10970.616
transcript.whisperx[368].end 10988.732
transcript.whisperx[368].text 那那個慘況如果院長部長你們稍微看了這個報導就曉得社子島已經夠慘了在那邊容留的租戶都還是透過社會局媒介過來社會最底層的三五千塊五六千塊這樣子的租金所以
transcript.whisperx[369].start 10989.372
transcript.whisperx[369].end 11006.72
transcript.whisperx[369].text 院長部長我要說的就是說我們要趕快積極開發社職導在台北市政府尋求各方專家民眾的意見之後那麼這個案子就是低密度的生態社職導開發
transcript.whisperx[370].start 11009.861
transcript.whisperx[370].end 11039.086
transcript.whisperx[370].text 院長我也獲得部長的首肯部長也為了這個案子也去主動拜訪了這個蔣萬元市長那我認為這是我們再朝再也合作一個很好的案子開發了社子島還給社子島民眾一個公道同時也會帶動周邊社子葫蘆島南港地區的發展所以這個事情是迫在眉睫應該立刻開發好不好是
transcript.whisperx[371].start 11044.79
transcript.whisperx[371].end 11061.164
transcript.whisperx[371].text 好,謝謝,謝謝王委員,謝謝卓院長下一位我們請高津素美委員質詢
transcript.whisperx[372].start 11074.005
transcript.whisperx[372].end 11082.326
transcript.whisperx[372].text 謝謝蔣主席 有請卓院長還有曾主委請卓院長一行還有原民會主委
transcript.whisperx[373].start 11088.2
transcript.whisperx[373].end 11088.54
transcript.whisperx[373].text 能夠在這裡講話就不是獨裁
transcript.whisperx[374].start 11115.472
transcript.whisperx[374].end 11133.621
transcript.whisperx[374].text 您剛剛的回應是獨裁我們這裡是民主殿堂所有在這邊選出來的立法委員都是代表民意代表多數決就是民主好嗎我現在回到我30分鐘的質詢院長我們來看一下一段影片這是你的備詢你說的話
transcript.whisperx[375].start 11135.106
transcript.whisperx[375].end 11145.267
transcript.whisperx[375].text 三萬元的淨化補償補貼如果能夠提升循序漸進的先編列為四萬行政院是可以接受的我們可以衡量所以我們這次是編了預算編了四萬
transcript.whisperx[376].start 11147.295
transcript.whisperx[376].end 11168.569
transcript.whisperx[376].text 好 院長我看您的背景我深深覺得你對原住民的權益的漠視甚至我可以說你是帶著殖民思維我還記得上次就是6月7號總質詢我在這邊跟你的對話你總是提到禁法補償是政府對原住民的照顧
transcript.whisperx[377].start 11169.629
transcript.whisperx[377].end 11189.814
transcript.whisperx[377].text 所以你會編列4萬塊是可以的編列6萬塊算太多你這樣子的說法我並不意外院長我在這邊提醒您你應該非常的清楚因為你是法律系畢業的照顧這兩個字是政府的援助補償
transcript.whisperx[378].start 11192.165
transcript.whisperx[378].end 11209.371
transcript.whisperx[378].text 是對於政府合法行為造成人民權利的損害所作為的補償措施這兩個的性質是完全不一樣的所以院長您知道嗎進法補償是針對什麼樣的損害做補償的呢我們在行政院
transcript.whisperx[379].start 11216.306
transcript.whisperx[379].end 11221.813
transcript.whisperx[379].text 行動101策略當中我們說現在行政院兩項大的政策就是照顧跟發展
transcript.whisperx[380].start 11223.607
transcript.whisperx[380].end 11227.508
transcript.whisperx[380].text 原住民保留地禁法補償是補償原住民在憲法上我們的生存權還有財產權的損害
transcript.whisperx[381].start 11252.034
transcript.whisperx[381].end 11276.712
transcript.whisperx[381].text 因為我們的政府禁止原住民使用我們的民族已經開墾在這塊土地上開墾千年以上的土地而我們現在的政府對我們的族人沒有辦法再度的農耕維生而我們的補償額度僅僅只能夠維持最基本的生計
transcript.whisperx[382].start 11277.893
transcript.whisperx[382].end 11296.713
transcript.whisperx[382].text 我們的政府用法律用最強力的手段剝奪了我們原住民的生存權我們不卑不亢我們僅僅要求最低限度的補償這會太過分嗎 院長您休息一下我接著要問一下曾主委曾主委
transcript.whisperx[383].start 11301.608
transcript.whisperx[383].end 11328.279
transcript.whisperx[383].text 我請問一下 行政院或者民進黨一直不斷的對外放話說禁法補償這個法律是違憲的你是不是認同禁法補償是因為限制了原住民使用自己的土地這是一種補償對啊 我問你啦民進黨團還有一些人對外放話原住民禁法補償是違憲你是不是認同這句話
transcript.whisperx[384].start 11331.67
transcript.whisperx[384].end 11344.434
transcript.whisperx[384].text 在這裡我要警告行政院還有民進黨團尤其是柯建民委員如果你們堅持違憲的話請問一下蔡英文執政8年的期間進法補償是違憲嗎
transcript.whisperx[385].start 11347.31
transcript.whisperx[385].end 11364.868
transcript.whisperx[385].text 還是說你們覺得這一次的修法才是違憲如果你們堅持這一次的修法是違憲法那就更可笑了 院長你說4萬塊是合憲 6萬塊是違憲我還是想請問一下 6萬塊真的很多嗎
transcript.whisperx[386].start 11365.814
transcript.whisperx[386].end 11366.594
transcript.whisperx[386].text 政府為了照顧老年的農民生活
transcript.whisperx[387].start 11394.659
transcript.whisperx[387].end 11415.781
transcript.whisperx[387].text 沒有任何的條件之下我們的農民每個月就可以領取8,110塊每年是97,320塊而我們原住民被限制了我們用來謀生的土地即便我們的這次修法之後平均每個月我們才可以領到5000塊
transcript.whisperx[388].start 11418.343
transcript.whisperx[388].end 11442.236
transcript.whisperx[388].text 我們來看一下113年全國最低的生活費每個月是多少一萬四千兩百三十我們原住民僅僅要求這個金額的三分之一居然還被院長您嫌多我不理解我的主任更不理解院長您可以休息一下我要請教主委
transcript.whisperx[389].start 11444.851
transcript.whisperx[389].end 11451.463
transcript.whisperx[389].text 主委主計長9月25號來到我辦公室跟我說明是主委你沒有積極爭取這導致競爬補償沒有編足
transcript.whisperx[390].start 11454.394
transcript.whisperx[390].end 11456.435
transcript.whisperx[390].text 我跟委員報告第一個就是說每一個特別是我們原住民的立委我每一個立委都有去說明過
transcript.whisperx[391].start 11485.1
transcript.whisperx[391].end 11486.461
transcript.whisperx[391].text 國慶日是10月1號吧?
transcript.whisperx[392].start 11503.951
transcript.whisperx[392].end 11528.849
transcript.whisperx[392].text 你是幾號去的?你26號你就去了你躲避了禮拜五在這邊的總質詢而我幫你查過了禮拜六是可以有非帛琉的班機26號到1號還有那麼多的時間更何況更何況你的前面的副主委也跟你一起去
transcript.whisperx[393].start 11529.91
transcript.whisperx[393].end 11550.291
transcript.whisperx[393].text 主委你不要在這邊在這邊再拿這個來做唐山我現在先請教主委我先請教主委人民會單位的預算是不是僅僅編列4萬塊的額度而剩餘的2萬塊額度你是不是準備要從原住民綜合發展基金中來編列
transcript.whisperx[394].start 11556.419
transcript.whisperx[394].end 11579.977
transcript.whisperx[394].text 我沒有問你這個我是說你是不是這個不足的兩萬塊你要從原住民的綜合發展基金裡面來挪用 是嗎是不是好 既然這樣我就問你最基本的問題你知道原住民綜合發展基金的法源依據是什麼嗎
transcript.whisperx[395].start 11583.814
transcript.whisperx[395].end 11610.361
transcript.whisperx[395].text 法源依據是什麼 沒關係你不要浪費我的時間我給你答案 你照念一遍就好預算法第4條第一項第二款第4目凡經過付出仍可收回的不是用於營業者為作業基金對不對那基金可以作為什麼用途
transcript.whisperx[396].start 11612.093
transcript.whisperx[396].end 11639.81
transcript.whisperx[396].text 可以作為什麼用途沒關係你不知道也給你答案來看一下他可以做什麼用途你唸一下原住民族基本法第18條辦理原住民經濟發展業務、輔導事業機構、住宅還有興辦、租售、建構以及修繕業務這是我們基金可以做的有哪一個有講到禁法補償
transcript.whisperx[397].start 11641.326
transcript.whisperx[397].end 11654.42
transcript.whisperx[397].text 主委啊你連基金的法源依據還有用途能夠作為什麼你都不知道你是怎麼樣幫族人來把關這個預算啊我跟你們報告你不要再回答了你連這兩個法律你都不知道謝謝指教院長
transcript.whisperx[398].start 11660.266
transcript.whisperx[398].end 11677.839
transcript.whisperx[398].text 6月份我在這裡對您的總質詢 您說 修法過程當中就應該要合理的討論而民進黨也提到 《經法補償條例》是在野黨多數暴力的產物現在我來為您理清一下整個修法的脈絡
transcript.whisperx[399].start 11679.526
transcript.whisperx[399].end 11707.344
transcript.whisperx[399].text 這一屆第1會期我擔任了內政的召委就在4月17號內政跟經濟來審查進法補償條例的聯席會議當中你們的行政機關是這麼說的來我們看一下法務部的報告有關援助民主權益保障這事涉主管機關與大院的職權跟決定本部競表尊重
transcript.whisperx[400].start 11709.005
transcript.whisperx[400].end 11724.015
transcript.whisperx[400].text 農業部的報告說什麼呢 研議提高淨法補償金還有擴大淨法的區域範圍對於維護森林還有自然保育的資源是有正面效益的
transcript.whisperx[401].start 11725.017
transcript.whisperx[401].end 11746.362
transcript.whisperx[401].text 而你們的主計總署在備詢的時候更回答委員的質詢說如果修法通過的話其本身就是屬於依法律所必須編列的支出在編預算的時候他會依照法所通過的規定來編列相關的經費
transcript.whisperx[402].start 11750.686
transcript.whisperx[402].end 11770.665
transcript.whisperx[402].text 行政機關表達支持:不分黨派的立法委員也都提案:蘇巧慧委員她甚至還提出什麼你知道嗎提出禁法補償金調到7萬塊她也樂觀其成這些在所有的會議記錄是都可以查詢的喔
transcript.whisperx[403].start 11771.719
transcript.whisperx[403].end 11784.654
transcript.whisperx[403].text 審查結論甚至還從善如流的按照民進黨立法委員吳立華委員他提出的額度來通過這難道是多數暴力嗎
transcript.whisperx[404].start 11785.882
transcript.whisperx[404].end 11809.229
transcript.whisperx[404].text 5月2號政黨協商裡面大家對於禁法補償增加到6萬塊也都表達贊同而這些民進黨的立法委員的連署還有委員當時的發言都是贊成修法的這難道也是在野黨多數的暴力嗎好啦即便在6月24號總統公佈了
transcript.whisperx[405].start 11812.619
transcript.whisperx[405].end 11814.1
transcript.whisperx[405].text 謝謝委員剛剛這一段的陳述證明這不是黨派問題
transcript.whisperx[406].start 11834.376
transcript.whisperx[406].end 11858.502
transcript.whisperx[406].text 朝野立委不是黨派問題不是顏色問題是守不守法的問題是是非對錯的問題不是立法行政兩院院計分立的問題行政院制定編列預算立法院審議預算制定編列的權限是在行政院立法委員的權限也可以提案好啦好啦院長院長院長我提醒你齁我提醒你我提醒你
transcript.whisperx[407].start 11863.283
transcript.whisperx[407].end 11867.967
transcript.whisperx[407].text 委員你經常把最重要的那一段漏掉沒有錯所以委員都漏掉最重要的那一段造成人們的誤解我沒有誤解啊 是你說的啊
transcript.whisperx[408].start 11883.499
transcript.whisperx[408].end 11904.789
transcript.whisperx[408].text 立法跟行政院要互相尊重我們的分際﹖如果有任何意見的話﹖如果有意見不同的話﹖立法院是多數決﹖只要是經過民主議程表決通過的﹖就是法律﹖委員你一年如果提12萬會要接受嗎?你一年如果你提12萬行政院要接受嗎?
transcript.whisperx[409].start 11910.331
transcript.whisperx[409].end 11912.394
transcript.whisperx[409].text 提不提復議案是你行政院決定的也是你的法定職權
transcript.whisperx[410].start 11933.65
transcript.whisperx[410].end 11944.135
transcript.whisperx[410].text 我再說一次在整個立法當中行政機關的正面看法還有民進黨委員在審查的時候的支持我們都可以看到它的必要性跟合理性
transcript.whisperx[411].start 11945.436
transcript.whisperx[411].end 11966.174
transcript.whisperx[411].text 目前唯一阻擋的就是說話不算話的賴皮政府 三讀通過總統的法律 院長 你知道嗎 你是第一個公然違抗總統的行政院我剛剛都已經說了 合法的過程是非常合法的 也沒有所謂的多數暴力 我現在請教一下委員會
transcript.whisperx[412].start 11967.555
transcript.whisperx[412].end 11971.616
transcript.whisperx[412].text 原住民禁法補償條例修正通過的時候 原民會你們是不是有向行政院提報52億元的需求經費 要編列在原民會的單位預算內 有沒有
transcript.whisperx[413].start 11987.25
transcript.whisperx[413].end 12011.607
transcript.whisperx[413].text 我們希望是這樣子好謝謝也就是說從一開始你們原委會就知道經費應該要編列在原民會單位預算內而不是在基金之內所以呢所需要的額度是52億元原民會你要52億行政院只給你28億短缺了24億按照9月25號主計長到我辦公室他說的
transcript.whisperx[414].start 12012.327
transcript.whisperx[414].end 12040.21
transcript.whisperx[414].text 你人民會應該要捍衛法律然後立即發函給行政院然後向行政院長爭取編列足額的經費請問一下主委人民會現在有再一次向行政院爭取嗎有還是沒有我們一直都跟主計總書這裡有沒有再發函給我們行政院長你還要爭取不足的部分 有沒有好 謝謝我現在要再問你
transcript.whisperx[415].start 12043.052
transcript.whisperx[415].end 12072.621
transcript.whisperx[415].text 如果你要從原住民族綜合發展基金撥付的話我就現在就從基金的基本使用再問你你知道原住民綜合發展基金的法源依據嗎剛剛已經問過你了你現在再回答對我知道知道是什麼就是目前的原住民的這個綜合基金的狀況我了解不是狀況我說法源依據剛剛已經問過你了來來助理再給他一次答案有就是作業基金凡經付出仍可回收
transcript.whisperx[416].start 12073.513
transcript.whisperx[416].end 12079.52
transcript.whisperx[416].text 原住民族綜合發展基金有哪一些業務是屬於付出然後可以收回的
transcript.whisperx[417].start 12087.435
transcript.whisperx[417].end 12088.315
transcript.whisperx[417].text 原住民的貸款
transcript.whisperx[418].start 12109.48
transcript.whisperx[418].end 12112.602
transcript.whisperx[418].text 發給族人之後有不足的地方就是不足的地方
transcript.whisperx[419].start 12125.609
transcript.whisperx[419].end 12154.533
transcript.whisperx[419].text 我們會請求這個6萬塊發給族人族人拿了這個6萬塊還要還給你的基金嗎不是嘛對不對他就拿走放在口袋了嘛請問一下這有符合基金要可付出仍可收回的性質嗎既然我們金髮補章出去了他是不可以償還的啊這是代表什麼代表你的圓明會的綜合發展基金是不可以這麼用的
transcript.whisperx[420].start 12154.813
transcript.whisperx[420].end 12154.833
transcript.whisperx[420].text 第1
transcript.whisperx[421].start 12176.536
transcript.whisperx[421].end 12195.142
transcript.whisperx[421].text 你跟行政院要52億行政院給你28億還少了24億主委你說基金仍然有17億可以調動17-24是多少7億來答案給你不足的部分不足的部分請問你要怎麼補
transcript.whisperx[422].start 12196.394
transcript.whisperx[422].end 12211.854
transcript.whisperx[422].text 我跟委員報告好我們要精算你也說不了什麼你看一下這是你原民會今年給我的基金預算書明年114年度你的基金只剩下10億可以用你知道嗎第二個我再問你
transcript.whisperx[423].start 12214.245
transcript.whisperx[423].end 12231.822
transcript.whisperx[423].text 這17億淨費裡面你說要從綜合發展基金出去嗎而且你說你要編17億是不是包含明年微小貸款的額度所以當微小貸款的經費全部都放在淨法補償上難道明年度的微小貸款你就不辦了嗎這個你必須跟主任說清楚喔這不會影響這個
transcript.whisperx[424].start 12235.689
transcript.whisperx[424].end 12262.784
transcript.whisperx[424].text 進化補償我跟委員講最快也是明年的這個時候才發放我現在跟你講的是114年度的綜合發展基金你在講什麼啊主委你到底有沒有進入狀況啊從整個的基金來調度啊第三個再問你更簡單的問題如果你真的要違法用基金撥付進化補償的費用按照你說基金有17億可以用但是你的預算書非常的清楚說
transcript.whisperx[425].start 12263.704
transcript.whisperx[425].end 12290.624
transcript.whisperx[425].text 明年也就是114年的你們的綜合發展基金短處多少你知道嗎?67億多你就知道啊短處已經快破產啦你知道嗎主委我真的覺得你滿離譜的尤其是在今年第一屆新竹縣原住民運動會上面你跟著廣大大眾說什麼我們原住民是人也是鬼
transcript.whisperx[426].start 12291.601
transcript.whisperx[426].end 12294.845
transcript.whisperx[426].text 請問一下你現在是人還是鬼現在是人還是鬼你現在是人還是鬼
transcript.whisperx[427].start 12306.428
transcript.whisperx[427].end 12332.057
transcript.whisperx[427].text 我更記得上個會期你在業務報告裡面跟我說你說爭取園民會的預算是足為很重要的業務可是我發現你向行政院爭取經費你不敢基金是什麼你也搞不清楚可是他給你足夠了嗎還不夠啊然後基金是什麼你也搞不清楚
transcript.whisperx[428].start 12332.797
transcript.whisperx[428].end 12356.499
transcript.whisperx[428].text 基金現在要面臨破產了你也不知道主委你是要做怎麼樣一個盡責的主委啊你說禁法補償明年會如其發你相信你自己說的話嗎我告訴你我是不相信啦除了你睜眼說瞎話之外我們來看一下審查禁法補償條例的時候法務部說什麼會尊重立法院的權責
transcript.whisperx[429].start 12358.021
transcript.whisperx[429].end 12375.379
transcript.whisperx[429].text 農業部說什麼對國土保育有正面的效益主計整處更說什麼他說會依法編列不到兩個月喔你們現在告訴我們說編列預算有困難這個是讓我們的族人怎麼相信你們民進黨的鬼話
transcript.whisperx[430].start 12376.755
transcript.whisperx[430].end 12403.688
transcript.whisperx[430].text 立法程序我們有充分的溝通院長說他只能先給4萬塊甚至只願意給4萬塊然後我剛剛裡面告訴你舉了這麼多的例子我們的基金也確實是沒有辦法挪用到撥付進法補償不管是他的破產不管是他的法律可是行政院你們真的還是要硬幹啊
transcript.whisperx[431].start 12404.568
transcript.whisperx[431].end 12405.289
transcript.whisperx[431].text 這個論點唯一成立的前提是
transcript.whisperx[432].start 12425.302
transcript.whisperx[432].end 12437.129
transcript.whisperx[432].text 原民會的預算是給足的按照原住民的人口來計算我們原住民的人口數在現在全國的人總數是2.59%應該要有811億的預算而我們現在只分配到多少0.39%也就是122億
transcript.whisperx[433].start 12445.774
transcript.whisperx[433].end 12473.115
transcript.whisperx[433].text 即使再加上民進黨你們不斷的對外講說其他部會用在原住民的身上我也幫你整合了也只有178億這兩個加起來300億連828.8億的一半都不到然後我再告訴你一個事情原住民族地區的行政單位的成績他只有鄉鎮市區的成績
transcript.whisperx[434].start 12474.366
transcript.whisperx[434].end 12498.866
transcript.whisperx[434].text 他們根本也沒有辦法分配所謂的專屬的統籌分配稅款原住民地區的鄉鎮市區我們僅僅只能夠依靠原民會的補助款在生存啊院長你給原住民原民會穿小鞋也就罷了我認為這雙鞋還是嬰兒鞋你對外還有說什麼立法院不能夠增加預算的方式來通過法案
transcript.whisperx[435].start 12499.605
transcript.whisperx[435].end 12523.827
transcript.whisperx[435].text 但是你看一下你們的柯總召在96年他曾經提出老年農民福利津貼暫時條例的修正案要求老農津貼從每個月五千塊要調高到六千塊然後又在100年的時候再次引民進黨團提修正案從每個月的六千塊調到七千塊我們可以看到他每一次的修正
transcript.whisperx[436].start 12524.588
transcript.whisperx[436].end 12539.269
transcript.whisperx[436].text 施出將近90億請問民進黨可以高精素沒在這邊提案而且是按照民主程序三讀總統公佈的法律你
transcript.whisperx[437].start 12541.006
transcript.whisperx[437].end 12567.085
transcript.whisperx[437].text 這不是標準的綠能我不能嗎好還沒還沒我會有時間跟你說我再舉一個例子進法補償條例同一天有三讀通過叫做地方民意代表費用支給以及村里長事務補助費的補助條例來看這也是行政院裡面提出版本喔
transcript.whisperx[438].start 12567.705
transcript.whisperx[438].end 12579.128
transcript.whisperx[438].text 在立法院修正通過內政部現在已經補足了5億8千多萬的相關預算現在不僅僅是綠能我不能更是擺明的欺負原住民然後你又再講
transcript.whisperx[439].start 12580.629
transcript.whisperx[439].end 12604.843
transcript.whisperx[439].text 任何增加新的預計算要有新的財源我們來看一下105年禁法補償通過的時候的附帶決議說什麼如果需要提高禁法補償的金額必須要由開增碳稅來支應112年通過氣候變遷因應法我們的環境部按照這個法的第32條設立了溫室氣體管理基金
transcript.whisperx[440].start 12610.844
transcript.whisperx[440].end 12625.229
transcript.whisperx[440].text 原住民有為政府守護7萬公頃的碳會的原住民經法補償的私有林地同時原民會也有11萬公頃的公有林地
transcript.whisperx[441].start 12626.515
transcript.whisperx[441].end 12641.689
transcript.whisperx[441].text 溫室氣體管理基金這不就是財源嗎院長你知道最大的問題是什麼嗎是你根本視而不見甚至114年度的稅入稅出的剩餘是209億元你依舊視而不見
transcript.whisperx[442].start 12647.772
transcript.whisperx[442].end 12667.427
transcript.whisperx[442].text 114年也就是明年度的預算總共多少3兆以上這樣子的行政團隊要告訴我的族人說24億我找不到財源真的實在是天大的笑話我講白了你不是讓原住民穿嬰兒鞋您是要讓原住民赤腳走路
transcript.whisperx[443].start 12668.117
transcript.whisperx[443].end 12682.305
transcript.whisperx[443].text 我覺得這是赤裸裸的殖民思想賴政府是我從政23年來我看到最踐踏立法院最欺負原住民的獨裁政府
transcript.whisperx[444].start 12683.22
transcript.whisperx[444].end 12707.488
transcript.whisperx[444].text 委員所說的完全不是事實我知道委員會把這一段質詢放在影片跟你的主持人說但是你當中有很多斷章取義錯誤的立法院是公開透明的現在已經非常多人在看即時的轉播了那我要報告委員我們的長照我們的健保我們的勞健保難道沒有用在原住民身上嗎有啊有啊所以你剛剛的數字是覺得不對是啊
transcript.whisperx[445].start 12708.288
transcript.whisperx[445].end 12714.734
transcript.whisperx[445].text 所以我現在要告訴我現在要告訴你我現在我沒有錯誤我沒有錯誤我告訴你們更離譜的是講什麼其他部會放在原住民的身上有178億原住民是話外知名嗎
transcript.whisperx[446].start 12727.025
transcript.whisperx[446].end 12753.405
transcript.whisperx[446].text 你們撲在原住民的道路上其他人難道不走嗎不要在這邊荒謬的亂講話了啦院長請你保持你的高度請你保持你的高度我現在對非常好非常好所以要一一全部要一視同仁所以不要把原住民當作話外之民所以立法院三讀通過
transcript.whisperx[447].start 12755.666
transcript.whisperx[447].end 12777.496
transcript.whisperx[447].text 總統公告的法院請你守法有這麼困難嗎最後最後最後最後我要用德國牧師尼莫勒的一首詩作為我今天總質詢的結束當納稅逮捕共產黨人的時候我保持沉默我又不是共產黨人
transcript.whisperx[448].start 12779.798
transcript.whisperx[448].end 12803.695
transcript.whisperx[448].text 當他們關押社民黨人的時候我保持沉默我又不是社民黨人當他們逮捕工會人員的時候我保持沉默我又不是工會的人員當他們逮捕我的時候已經沒有人能為我說話了我含著眼淚哽咽地在這邊告訴你
transcript.whisperx[449].start 12805.987
transcript.whisperx[449].end 12834.697
transcript.whisperx[449].text 我非常感謝民眾黨團、國民黨團能夠頂住你們的胡說八道能夠頂住所謂側翼的攻擊還在這裡捍衛立法委員的尊嚴捍衛台灣的民主法治所以我要講的是現在民進黨在這裡膽敢欺負台灣的主人您剛剛說的原住民族
transcript.whisperx[450].start 12835.717
transcript.whisperx[450].end 12836.458
transcript.whisperx[450].text 法定人數不足
transcript.whisperx[451].start 12851.92
transcript.whisperx[451].end 12852.32
transcript.whisperx[451].text 發言委員
transcript.whisperx[452].start 12878.573
transcript.whisperx[452].end 12887.566
transcript.whisperx[452].text 上午質詢到此為止本次會議未有委員提出臨時提案就不進行臨時提案之處理下午2點30分繼續開會進行內政組之質詢現在休息
transcript.whisperx[453].start 21598.393
transcript.whisperx[453].end 21599.693
transcript.whisperx[453].text 主席有請海洋委員會主委海洋委員會主委請備詢
transcript.whisperx[454].start 21635.975
transcript.whisperx[454].end 21636.217
transcript.whisperx[454].text 關主委好
transcript.whisperx[455].start 21637.729
transcript.whisperx[455].end 21665.464
transcript.whisperx[455].text 昨天下午蘭嶼相公所有舉辦一個直播也就是關於我們巴貝多吉有一個說明會對 擱淺的事情那我後來就詢問我們環保也就是衛環的環境部的官員他說這不是他們管轄的事情說是屬於海洋委員會他說沒有成立危機應變小組所以他們不便介入我想說你這件事情的後續你的作為是什麼
transcript.whisperx[456].start 21666.204
transcript.whisperx[456].end 21669.286
transcript.whisperx[456].text 因為他們非常擔心漏油的事件希望這個污染防治能夠比較影響他們明年飛魚季的一個捕獲
transcript.whisperx[457].start 21692.099
transcript.whisperx[457].end 21694.202
transcript.whisperx[457].text 你知道當初的船員是誰來救他們 或者是誰給他們提供物資或者是食材嗎?
transcript.whisperx[458].start 21710.721
transcript.whisperx[458].end 21737.87
transcript.whisperx[458].text 這次是空勤總隊的飛機載著我們海巡的吊掛小隊然後把19個人吊掛救回來救回來以後因為這艘船它擱淺那擱淺以後就斷掉了那好在就是說它斷的這個地方不是遊艙的地方沒有關係那我的意思就是說後續的污染的事情盡量能夠預防因為蘭嶼是我們最珍貴的一個旅遊的地點
transcript.whisperx[459].start 21738.73
transcript.whisperx[459].end 21750.575
transcript.whisperx[459].text 我們非常非常的憂心那也非常非常的努力都做到生日半夜好謝謝那有請行政院長麻煩請行政院主委院長備詢院長好主委員好曾主委你知道明天有23位主任要到辦公室找我嗎我知道是關於
transcript.whisperx[460].start 21768.684
transcript.whisperx[460].end 21793.769
transcript.whisperx[460].text 關於什麼事情?應該是康納康納夫族的族群委員的事情當然不是只有康納康納夫的成員有表達強烈的不滿那希望你心裡面能夠接受因為他們提出的這些心裡面的人選是他們開過會他們認為這些人是最適合擔任族群委員的人選可是原民會完全漠視他們的提案
transcript.whisperx[461].start 21795.106
transcript.whisperx[461].end 21803.096
transcript.whisperx[461].text 各位報告不是說漠視他們的提案因為整個的這個族人這麼多的優秀的人才
transcript.whisperx[462].start 21806.979
transcript.whisperx[462].end 21826.147
transcript.whisperx[462].text 因為我知道民進黨是執政黨所以我很客氣的提了兩個推薦可是你們也沒有提出你們的想法也沒有提出你們拒絕的理由也沒有把優劣或者說你們禁用的人是因為是什麼樣的原因而禁用也沒有給本席一個答案
transcript.whisperx[463].start 21827.162
transcript.whisperx[463].end 21852.107
transcript.whisperx[463].text 我會跟委員報告提出來的這個人選我們沒有什麼黨派的這個考慮希望他能夠為族人多做一點事情這兩個族群找我提供的名單都是他們內部的族群裡面去開過會認為這個人最適合我們才會提報上去我們不可能隨便找一個路人甲來提報啊所以我的意思是說你當時用了A你應該告訴我這A是
transcript.whisperx[464].start 21852.907
transcript.whisperx[464].end 21858.132
transcript.whisperx[464].text 行政院長我這邊要提醒的就是我們原住民主健康法在112年5月26號三讀通過也在6月21號公佈他要有一個專責單位
transcript.whisperx[465].start 21878.683
transcript.whisperx[465].end 21897.028
transcript.whisperx[465].text 管理我們原住民主健康那我是一直希望他能夠在施及或處及的一個等級而不是在現行的在一個科裡面希望你把這件事情放在心裡面因為今天不是質詢我們衛福部可是原住民主健康的問題應該跟原民會有關係所以我這邊提出來
transcript.whisperx[466].start 21897.808
transcript.whisperx[466].end 21898.689
transcript.whisperx[466].text 委員長施政報告
transcript.whisperx[467].start 21916.605
transcript.whisperx[467].end 21936.544
transcript.whisperx[467].text 當然我今天的主題還是在進法補償但因為很多委員都提過不過我還是要再提我的論述我們台灣的地形的關係那目前我先考一個問題好了主委你知道我們森林覆蓋是多少幾萬公頃嗎森林覆蓋台灣的森林覆蓋的範圍
transcript.whisperx[468].start 21940.236
transcript.whisperx[468].end 21961.732
transcript.whisperx[468].text 大概是210萬公頃,將近六成,也就是我們台灣大概都是在這樣的範圍,原名會有11萬,我們原住民的是大概7.2萬左右,如果今年會增加到7.7,也就是18萬,在所有森林裡面210萬裡面的18萬公頃也沒有很多,
transcript.whisperx[469].start 21965.555
transcript.whisperx[469].end 21986.834
transcript.whisperx[469].text
transcript.whisperx[470].start 21987.455
transcript.whisperx[470].end 22012.241
transcript.whisperx[470].text 因為當初舊好茶要辦到新好茶的時候很多老人家說不能辦到新好茶因為那是以前是湖泊那是因為我們幾千年生活在這個土地的一個智慧結果沒有多久它不是整個都滅村了嗎現在已經遷到你那裡舊好茶的命運就是因為我們後來的政府沒有去採納我們原住民的智慧啊不是嗎
transcript.whisperx[471].start 22014.175
transcript.whisperx[471].end 22042.425
transcript.whisperx[471].text 才會一而再再而三的遷徙一直到現在的李娜理好那我們一再而三的講進法補償就是他是補償不是補助他的原則是這樣不是嗎是好那我們從2015年說兩萬塊一公頃好我來調高到三萬塊那我知道主委院長一直一直在說你願意接受四萬塊那請問你的四萬塊的論調是什麼你的基礎是什麼
transcript.whisperx[472].start 22043.483
transcript.whisperx[472].end 22069.58
transcript.whisperx[472].text 謝謝委員任何的補償補助跟福利的措施都一樣都應該朝合理的方向去進展但是應該考量到國家的財政能夠循序漸進我們很難期待一步到位我知道再多的補償對原住民的這種精神或是領域或是文化或是生活上都無法達成百分之百但我們希望能夠盡最大之力我想知道你認為4萬塊的理由是什麼
transcript.whisperx[473].start 22072.04
transcript.whisperx[473].end 22099.331
transcript.whisperx[473].text 我認為循序漸進﹚可以達到﹚慢慢的﹚達到那樣的一個境界跟地步當初我們在﹚還在委員會的時候﹚在討論的時候﹚我有提出一個論述﹚我等一下﹚待會會說那我們先從探會開始講好了探會我們昨天有公布也就是10月7號我們環境部有公布我們探會是一公頓300塊可是我在看文獻的時候有一個文獻叫做World Bank也就是世界銀行的
transcript.whisperx[474].start 22099.946
transcript.whisperx[474].end 22126.793
transcript.whisperx[474].text 他在5月29號就已經公告我們的碳匯的錢是9塊美金也就是說他比我們提早好幾個月知道說我們的匯率是多少那我們還要等環境部來公佈嗎他9塊錢就算了但我們當然是可以接受從低到高可是我們比大陸還低北京是15塊然後最高的是我們要跟最高的比的話是烏拉圭是167塊
transcript.whisperx[475].start 22128.123
transcript.whisperx[475].end 22153.892
transcript.whisperx[475].text 你烏拉圭是高度開發國家嗎?不是所以我的意思是說你們在﹖無論在計算這個費用﹖或者是說做這個評比的時候你們都沒有原住民的一個委員在裡面我知道3月13號有公佈21名的審議委員﹖碳費的審議委員﹖裡面沒有一個專家﹖學者﹖或者是人民團體是原住民代表
transcript.whisperx[476].start 22154.468
transcript.whisperx[476].end 22183.155
transcript.whisperx[476].text 那燙費這麼一個重要的事情我希望明年度的一個委員裡面能夠採納一個原住民的專家學者可以嗎 院長我會跟環境部本部長來研究如果讓現在如果有疏忽的意見能夠趕緊納進去那麼未來在組織在人員在調整的過程當中我們能夠多多聽聽各位各方的聲音從剛剛那個圖表是說世界上各國的一個燙費的
transcript.whisperx[477].start 22186.414
transcript.whisperx[477].end 22209.204
transcript.whisperx[477].text 規範從幾塊錢到一百多塊多也就是參加幾十倍也就是說這個市場還是一個新興的市場那我們從一個圖表來看2015年到2019年才短短的四年時間已經翻了好幾倍它的平均值也就是說如果我們就講進法補償為什麼會doubling或者說為什麼會有這樣子一個趨勢
transcript.whisperx[478].start 22210.063
transcript.whisperx[478].end 22239.604
transcript.whisperx[478].text 是以前低估了現在我們是不過是讓他能夠恢復到正常的一個所謂的補償那為什麼呢從以下幾個論述來看第一個他還是在生計的時候尋求生計的時候森林作為一個生活場域的時候他可以占了一般就是落後國家比如說新巴威啦或者是一些他上面所表列的國家他森林可以負擔他40%以上的生活條件
transcript.whisperx[479].start 22240.282
transcript.whisperx[479].end 22268.137
transcript.whisperx[479].text 好 第二個也就是說如果它是商機的時候如果一個企業家他認為這個森林它覆蓋了很多也許它裡面有很多珍貴的藥材或者說它可以從裡面竊取很多生物的物質或者是說去做一些研發它的價值可以從好 可以從裡面沒有關係可是它可以到9177塊每公頃的美金也就是說這是它的商機的部分那如果說就間接的一個間接的所謂的
transcript.whisperx[480].start 22270.238
transcript.whisperx[480].end 22295.235
transcript.whisperx[480].text 價值的話如果他是一個水域的保護或者說水質的一個品質保證的話他大概可以落在800多塊或者200多塊這樣的一個區塊這是一公頃美金的一個價格這是水域或者是供水的一個value那如果就CO2二氧化碳的一個碳的存底來看的話下一頁
transcript.whisperx[481].start 22297.145
transcript.whisperx[481].end 22325.404
transcript.whisperx[481].text 他大概就落在一公頃是兩千美金這是2001年的一個研究也就是說我們長期低估了碳底存在這個森林的這個市場這樣的一個價值所以我們一直都沒有認為說這個森林的保護是多麼重要可是現在這是一個世界的一個所謂的趨勢大家要去知道說原來這個它的價值是在這裡因為它是有維護我們
transcript.whisperx[482].start 22327.033
transcript.whisperx[482].end 22353.603
transcript.whisperx[482].text 這個生態阿或者是說避免暖化這些一個他的優厚的力量所以他的價格是這樣阿如果說他是原始領2830阿如果是變成後來變成轉農作的話會變成790然後permanent如果變成農業的話變成630阿如果是牧場會變成630630對那意思說如果他是沒有沒有耕作的話他大概都在2000塊左右的一個價值
transcript.whisperx[483].start 22355.595
transcript.whisperx[483].end 22384.666
transcript.whisperx[483].text 那我是上次我們在委員會討論的時候是提了這個論述最後一個就是在他圖表就是他所謂的option value就是說有些國家是進步到說他已經有些力能的概念或者說他有環保的意識他認為他可以付5美金來維持巴西的森林他用這樣的概念去算的話其實這個所謂的間接的價值也存在
transcript.whisperx[484].start 22385.225
transcript.whisperx[484].end 22412.108
transcript.whisperx[484].text 所以他這個價值呢有可以到5塊錢可以到12塊美金所以他的total在最後一頁你看他有所謂的當然不要講伐木當然有他的價值可是伐木的價值如果一存在的話那個所謂的climate的benefit就沒有了所以也就是說你這邊是1000然後這樣加加種種加上他的一些休氣啊加上一些他的生物多樣性啊或者是說
transcript.whisperx[485].start 22413.247
transcript.whisperx[485].end 22439.735
transcript.whisperx[485].text 我們剛所說的間接價值的話遠遠超過這兩千塊美金所以我的意思就是說其實當初我們在講這個森林的這個價值的時候是一個多元的一個概念他是個生態的概念那我們已經走到這個地步我們不可能再走回頭路再去找那個所謂的按照這個國家的那個合理的推算然後應該是到達四萬塊因為我希望
transcript.whisperx[486].start 22440.953
transcript.whisperx[486].end 22463.206
transcript.whisperx[486].text 院長你有個概念就是說我們是希望能夠補足以前沒有補足到的而且你知道進化補償是105年才開始那105年以前呢我們一直都是這個森林的主人是這個土地的主人我們沒有說我們要求那麼多我們是從現在開始先補足而且我們這次的修法的重點是每兩年調整一次不是你講的明天就調到12萬
transcript.whisperx[487].start 22464.81
transcript.whisperx[487].end 22491.862
transcript.whisperx[487].text 而且是按照物價指數在做調整也就是說這次一次到位以後這兩年以後再說如果經濟水準沒有到那個地方也不可能再調漲我們的如果你有仔細看我們的法律是那樣子來修正的所以你可以尊重我們的想法或者說已經通過的法律保護森林喔剩下一分鐘我要講一個重點最重要我認為今天最重要的我先考下主委
transcript.whisperx[488].start 22493.075
transcript.whisperx[488].end 22497.597
transcript.whisperx[488].text 盧凱族、排灣族的乞丐怎麼說?盧凱族、排灣族的乞丐怎麼說?盧凱族、排灣族的乞丐怎麼說?
transcript.whisperx[489].start 22523.257
transcript.whisperx[489].end 22548.417
transcript.whisperx[489].text 所以我們的世界觀裏面我們的想法裏面沒有去求別人希望你能夠再三的而三的去想一下你自己的思維可以嗎是謝謝謝謝委員謝謝盧縣議委員的質詢也謝謝左院長香港部會首長的備詢本會接下來登記第11號邱毅英委員第12號吳佩奕委員
transcript.whisperx[490].start 22552.092
transcript.whisperx[490].end 22563.495
transcript.whisperx[490].text 兩位委員質詢均以書面提出請行政院書面答覆並列入記錄刊登公報接下來我們請登記第13位王美惠委員質詢
transcript.whisperx[491].start 22580.68
transcript.whisperx[491].end 22586.123
transcript.whisperx[491].text 主席,我們這裡的院長請補充麻煩卓院長請備詢我們內政部長麻煩內政部,劉部長請備詢跟陸委員王委員好院長你好,補充好
transcript.whisperx[492].start 22602.278
transcript.whisperx[492].end 22623.353
transcript.whisperx[492].text 本社在今天這頓當中先提點來跟您討論一個10月7日﹐有香港人在我們西門町﹐來舉辦活動﹐在這個活動的時候﹐有款對中國的國旗﹐因為不知道怎樣﹐還要雄勇一隊紅阿牧﹐來揶揄﹐跟這隊紅阿牧﹐
transcript.whisperx[493].start 22630.984
transcript.whisperx[493].end 22632.925
transcript.whisperx[493].text 指導當天都有看到報告
transcript.whisperx[494].start 22644.841
transcript.whisperx[494].end 22672.279
transcript.whisperx[494].text 警政單位也做了必要的處分我們知道說他在西門町鬧事之後我們的移民署跟臺北市警局馬上就做處理也在當天的時候到君悅飯店裡面把相關的書面文件提供給他請他要離開因為我們發現說他到臺灣來的目的跟他原來所申請的項目不符合
transcript.whisperx[495].start 22672.799
transcript.whisperx[495].end 22692.01
transcript.whisperx[495].text 所以在當天的時候呢就臺北市警局還有移民署就做了處理第二天就請他回去中國我第二天就請他回去中國這樣算上來我們中華民國的臺灣有夠優先的也對人很客氣的這如果發生在中國的時候就不是這樣了你有看到我們李明澤去到中國
transcript.whisperx[496].start 22701.907
transcript.whisperx[496].end 22706.848
transcript.whisperx[496].text 當然他要來的時間可能我們沒那麼簡單可以讓他來 因為已經註記了 表示他在台灣
transcript.whisperx[497].start 22731.472
transcript.whisperx[497].end 22740.654
transcript.whisperx[497].text 做到議員來講的目的不一樣我絕對要禁止議員來講他主席的時候他要來的時候他就是因為探親嘛他若有在台灣嘛結果沒理由若調查起來他若有一次已經回到他祖國的中國了啦
transcript.whisperx[498].start 22756.556
transcript.whisperx[498].end 22779.966
transcript.whisperx[498].text 所以補充在這裏面我們的審核是不是有帶有缺點的你看他們哪有登記以來沒有住在台灣這塊土地他沒有經常住在台灣喔中華民國喔但是他是11屆來到台灣的
transcript.whisperx[499].start 22785.118
transcript.whisperx[499].end 22794.543
transcript.whisperx[499].text 結果他們來發聲的事是十幾千人﹖他們若有回應他們祖國的心﹖是七個回應的啦
transcript.whisperx[500].start 22796.128
transcript.whisperx[500].end 22818.698
transcript.whisperx[500].text 跟委員報告我們現在對中國大陸人士來台的這個探親的這個簽證的核准的期間都是6個月專業人士也是6個月商務人士也是6個月這個6個月就是說我發證給你這個6個月內有效您剛剛提到的很重要就是說
transcript.whisperx[501].start 22819.819
transcript.whisperx[501].end 22820.98
transcript.whisperx[501].text 他申請的時候他母親在,但是他來探親的時候母親不在
transcript.whisperx[502].start 22839.401
transcript.whisperx[502].end 22841.402
transcript.whisperx[502].text 對啦 我覺得不是出境而已
transcript.whisperx[503].start 22863.646
transcript.whisperx[503].end 22875.837
transcript.whisperx[503].text 因為他這個對台灣的應用很大的你看人們在那裡的飯碗中,他們兩個阿嬤在那裡亂我也是在那裡批論,那這塊現地,大陸那時候、中國那時候,那要整個頭髮洗什麼來的
transcript.whisperx[504].start 22886.184
transcript.whisperx[504].end 22907.819
transcript.whisperx[504].text 委員我們是自由民主法治的國家我們不像中國大陸但是您提到的對於簽證核發的管理我們要加強包括用抽查等等機制這才是問題啦他要探親的時候是因為他老婆嘛我們的保證的時候他的中間他老婆已經回去我講幾次了啦已經回去他祖國啦
transcript.whisperx[505].start 22911.562
transcript.whisperx[505].end 22912.684
transcript.whisperx[505].text 因為我認為這個未來因為我們現在
transcript.whisperx[506].start 22931.586
transcript.whisperx[506].end 22933.647
transcript.whisperx[506].text 法定人數不足
transcript.whisperx[507].start 22954.554
transcript.whisperx[507].end 22959.337
transcript.whisperx[507].text 在這個規定當中 我也覺得這個打造這個規定
transcript.whisperx[508].start 22977.062
transcript.whisperx[508].end 22997.099
transcript.whisperx[508].text 院長有需要,要如何修法,我相信無分第一檔,無分你是北部的立委,還是南部的立委,都運到這個大廈來發表,院長弟弟歡迎來賓,我們同過修法
transcript.whisperx[509].start 22999.878
transcript.whisperx[509].end 23012.625
transcript.whisperx[509].text 你在5月10日的時候,你有說過什麼你覺得一件?這個打仗的問題你也知道我們武打企業裡面,重要的打仗是要防衛的要防衛啦,因為因為你有說到,想要拚的,也沒辦法拚啦已經拚的,也會抓到啦
transcript.whisperx[510].start 23024.974
transcript.whisperx[510].end 23025.654
transcript.whisperx[510].text 委員長 抱歉委員長抱歉
transcript.whisperx[511].start 23052.283
transcript.whisperx[511].end 23076.621
transcript.whisperx[511].text 王委員回答一下7月底我們通過這個打詐新司法後對我們內政部經濟事務所負責的大部都在第一算所以我們現在大量在做宣傳有關165的部分然後我們今天新公布的這個打詐儀表板9月份打詐的這個案件數跟財損數跟8月份比起來已經下降很多下降很多15%15%15%沒錯
transcript.whisperx[512].start 23081.121
transcript.whisperx[512].end 23084.222
transcript.whisperx[512].text 昨天施政報告:第11屆第2會期第3次會議:第3次會議
transcript.whisperx[513].start 23101.187
transcript.whisperx[513].end 23105.17
transcript.whisperx[513].text 我就是要補充跟院長說我看了一天走一條路 我覺得說 咦?這六個 被騙兩個月啦這六喔 十五喔 騙五個月啦 院長
transcript.whisperx[514].start 23129.676
transcript.whisperx[514].end 23155.932
transcript.whisperx[514].text 你這樣看就知道你會怕嗎當然會啦當然會嘛這個議票版就是要讓大家知道說現在這個情形在社會上很嚴重因為這個受理的表現跟過去我們說表現出來是不一樣的計算跟統計的措施啦現在我們有新的標準但是照這個標準轉來去打現在打詐釋法通過議號我們在法律我們有工具我們透過科技
transcript.whisperx[515].start 23157.141
transcript.whisperx[515].end 23165.608
transcript.whisperx[515].text 來偵辦,我們透過跨國合作來偵辦,很多夢幻在走但是我知道,事情要不會很好?事情要不會很好?對,一定要再努力因為本席在這裡說,他剛才這段時間本席剛才有15分鐘,一定說10分鐘在這個過程當中,我們本席15分鐘說完的時候
transcript.whisperx[516].start 23181.861
transcript.whisperx[516].end 23194.973
transcript.whisperx[516].text 我們的詐騙集團﹐在75分鐘內﹐就騙獎金要450萬所以﹐院長﹐不怪本席若你說﹐說你會怕嗎?真的 我覺得 你說﹐跟部長都一樣的我們希望若受你做政客﹐剛才院長說的﹐是發詐﹐
transcript.whisperx[517].start 23208.393
transcript.whisperx[517].end 23215.256
transcript.whisperx[517].text 做不健康﹚現在做健康﹚還是以前的統計﹚不一樣﹚因為我覺得以前的款﹚
transcript.whisperx[518].start 23220.265
transcript.whisperx[518].end 23247.892
transcript.whisperx[518].text 議員長
transcript.whisperx[519].start 23248.784
transcript.whisperx[519].end 23249.345
transcript.whisperx[519].text 發言委員:完整會議
transcript.whisperx[520].start 23267.208
transcript.whisperx[520].end 23267.488
transcript.whisperx[520].text 委員會主席
transcript.whisperx[521].start 23284.581
transcript.whisperx[521].end 23290.164
transcript.whisperx[521].text 每天公布的數字,但是你真正進入要刑案再辦的時候就會變成我們下面所說的公布的數字,所以不太一樣
transcript.whisperx[522].start 23303.052
transcript.whisperx[522].end 23303.232
transcript.whisperx[522].text 院長報告
transcript.whisperx[523].start 23324.375
transcript.whisperx[523].end 23339.043
transcript.whisperx[523].text 委員是委員代表:因為北省所看好的:就是說我錢不便宜:不管你幾隻好:一百隻好:一千隻好:我最溫暖的就是我錢要怎樣:這才是重要
transcript.whisperx[524].start 23346.668
transcript.whisperx[524].end 23358.662
transcript.whisperx[524].text 你說破案破10件、100件﹖對學生、學生﹖老師、體育的人都沒做問題你如果他的職業不便宜﹖最無能力能做100件﹖他一定會被這樣
transcript.whisperx[525].start 23364.91
transcript.whisperx[525].end 23368.032
transcript.whisperx[525].text 委員有兩種感 委員報告 第一項就是攔阻
transcript.whisperx[526].start 23380.839
transcript.whisperx[526].end 23393.784
transcript.whisperx[526].text 有很多人要去ATM 或是要去銀行 要去指教詐騙集團的警察﹑銀行的人 會在那裡被封鎖那就表示錢沒了不起 這是一種方式另外一種就是 你已經進入警察機關 或是法務部在進展的過程當中你還要等到所有警察機構在後 你才可以要求說這件事可以退還給你而這個程序呢 我們的法務部 跟其他相關的單位 都有一個執法在進行當中
transcript.whisperx[527].start 23409.509
transcript.whisperx[527].end 23427.593
transcript.whisperx[527].text 因為我知道實話當中﹐是北省院長﹐因為我覺得我們要有問題站出來﹐我們要有辦法改善去﹐大廈可以做得好﹐讓他們走﹐像你說的說﹐騙得到也騙不到了﹐要拿起來﹐在這兩天我覺得大廈的事情﹐你我都要繼續加油﹐是
transcript.whisperx[528].start 23435.115
transcript.whisperx[528].end 23435.396
transcript.whisperx[528].text 主席
transcript.whisperx[529].start 23446.125
transcript.whisperx[529].end 23461.978
transcript.whisperx[529].text 為了人民的福利,我相信部長和院長和在座的,包括我們的院長、韓院長也好,都很高興未來這個議程,要怎麼去處理,比較好因為我身為嘉義市,我也要嘉義市的補助的議程,跟建設的議程
transcript.whisperx[530].start 23471.326
transcript.whisperx[530].end 23474.768
transcript.whisperx[530].text 謝謝王美惠委員質詢:謝謝卓院長跟相關部會所長的備詢
transcript.whisperx[531].start 23500.492
transcript.whisperx[531].end 23507.373
transcript.whisperx[531].text 報告委員會現在在旁聽席上二樓貴賓室來自於美國國會助理訪問團我們掌聲歡迎接下來我們請登記第14號馬文君委員質詢馬文君議員
transcript.whisperx[532].start 23531.412
transcript.whisperx[532].end 23535.635
transcript.whisperx[532].text 謝謝主席麻煩請卓院長麻煩再請卓院長備詢麻煩委員好院長午安院長在今天內政的這個諮詢裡面其實可能也有非常多近期大家關切的部分就是總統要成立一個全社會
transcript.whisperx[533].start 23560.934
transcript.whisperx[533].end 23584.375
transcript.whisperx[533].text 防衛任性委員會那這當中特別要培養40萬的可視民力我想要請教這40萬是怎麼計算出來了它包含哪些人或者哪些團體好 謝謝民力的部分它包含的團體相當多比方它有義勇警察大隊
transcript.whisperx[534].start 23585.433
transcript.whisperx[534].end 23585.613
transcript.whisperx[534].text 議員:完整會議
transcript.whisperx[535].start 23613.37
transcript.whisperx[535].end 23623.789
transcript.whisperx[535].text 發生危險的時候他還能夠救援這些人命跟人的生命重要的問題但在穩定整個社會的秩序跟自然的問題協助這些工作
transcript.whisperx[536].start 23625.21
transcript.whisperx[536].end 23649.609
transcript.whisperx[536].text 議員長這聽起來其實是有點虛幻因為其實我們剛剛提到的所有的一些民訪團體比如說義警義消民訪還有義交等等其實這些本來他們在現在他們的工作就是協情所有相關的一些單位的協情其實他們本來就在做而且做的
transcript.whisperx[537].start 23650.35
transcript.whisperx[537].end 23650.57
transcript.whisperx[537].text 施政報告
transcript.whisperx[538].start 23680.43
transcript.whisperx[538].end 23699.795
transcript.whisperx[538].text 可是另外還有一些新的到底是什麼有還有什麼新的嗎首先很感謝委員提到的剛剛這些個團體包括民間的慈善的工作隊長我們討論新的部分好不好第一個我們要感謝他們但是就是要把他們的工作再整合起來做有系統的整合起來
transcript.whisperx[539].start 23700.555
transcript.whisperx[539].end 23728.638
transcript.whisperx[539].text 而不是段段落落的區區段段這樣一段一段來做整合起來整個名利才能夠去做有效的運用我們現在請教另外一個就是我剛剛說的除了剛剛這幾個因為40萬的可是名利除了我們剛剛院長提到的因為你可能還漏掉了就是我們的替代役那替代役裡面他就佔了絕大部分大概26萬多了那還有沒有什麼其他的
transcript.whisperx[540].start 23729.398
transcript.whisperx[540].end 23748.055
transcript.whisperx[540].text 你說的NGO團體NGO團體到目前為止我們的計算基礎大概在3萬到4萬左右那這NGO的團體我們也希望它可以未來有碰到這個大規模的災害的時候可以跟我們的政府的一些力量一起結合舉例來說有哪些NGO團體
transcript.whisperx[541].start 23749.076
transcript.whisperx[541].end 23751.517
transcript.whisperx[541].text 他們過去現在有在做嗎所以其實你們提到的都是現在已經存在的這些相關的組織跟團體那平常其實他們就已經做得非常好
transcript.whisperx[542].start 23774.77
transcript.whisperx[542].end 23796.138
transcript.whisperx[542].text 此計是所有全世界公認﹖他不管在任何的紀律各方面﹖還有效率其實都非常的好﹖甚至他並不需要政府再去多做其他的規範﹖其實反而會綁手綁腳﹖因為我在裡面還有看到就是有黑熊的部分﹖黑熊學院也在我們裡面﹖
transcript.whisperx[543].start 23797.418
transcript.whisperx[543].end 23815.709
transcript.whisperx[543].text 黑熊學院他們是民間團體自己在訓練他們自己的民間的力量那我們是這樣子就是包括像慈濟或是黑熊這些的未來是要那邊就是說如果我們到所以他們未來都會在我們這個可是名利裡面是不是也會屬於其中一環但是是志願性的
transcript.whisperx[544].start 23817.257
transcript.whisperx[544].end 23845.817
transcript.whisperx[544].text 因為現在所有都是志願性的對 志工團體都是志願性的對 因為你在所以這是平時是由內政部來做統整民間團體由民間力量自己來做協助跟訓練但是我們剛剛所提到的如果你是一警一消或甚至替代役的訓練的話那內政部就按照法律來做訓練這些訓練會比較有規模譬如說我們要做EMT的訓練部長 這個他們本來就在做對 但是我們希望能夠再精進
transcript.whisperx[545].start 23846.778
transcript.whisperx[545].end 23867.976
transcript.whisperx[545].text 消防也是因為你還是做初級的我們現在看到你們做的只是初級的救護訓練然後消防的部分其實他們也都有其實我聽到地方的那個教訓 招訓算是去年開始有一些像這樣的協情單位他們去年開始可能有接受去年是一天今年是兩天
transcript.whisperx[546].start 23868.917
transcript.whisperx[546].end 23895.423
transcript.whisperx[546].text 那他們受的一個訓練大概就是檢傷醫的救護然後還有操作無人機可是他們有很多都已經60歲了因為現在年輕人我們少子化其實年輕的並不多不像以前其實要參加疫消都還要排隊那現在其實在招募的過程其實不像過去那麼多了可是他們在訓練大概就訓練這些有一些他們說
transcript.whisperx[547].start 23897.051
transcript.whisperx[547].end 23897.171
transcript.whisperx[547].text 委員會主席
transcript.whisperx[548].start 23922.605
transcript.whisperx[548].end 23922.745
transcript.whisperx[548].text 內政部委員
transcript.whisperx[549].start 23939.022
transcript.whisperx[549].end 23939.642
transcript.whisperx[549].text 在這裡不好意思
transcript.whisperx[550].start 23967.011
transcript.whisperx[550].end 23967.031
transcript.whisperx[550].text 委員長
transcript.whisperx[551].start 23990.251
transcript.whisperx[551].end 23990.611
transcript.whisperx[551].text 主席
transcript.whisperx[552].start 24012.503
transcript.whisperx[552].end 24013.684
transcript.whisperx[552].text 委員我需要再說明一下我想不是這樣子第一個現在的國軍他們在救災當中只是支援調度組
transcript.whisperx[553].start 24030.819
transcript.whisperx[553].end 24054.288
transcript.whisperx[553].text 真正有災害發生的時候第一個都是警消在第一線馳援但是支援調度組包括很多機具或者是其他後續的這些清消的工作當然協助 部長沒關係因為你講的這個我就說他們平常已經在做火災發生的當下當然是消防疫消他們會去那疫警當然在整個一個一些維護上面協助警力這些本來就在做我剛剛也講到說你說的救災的部分
transcript.whisperx[554].start 24056.229
transcript.whisperx[554].end 24078.309
transcript.whisperx[554].text 去看看高雄這次發生的時候﹖他調動一千多人﹖一千多名軍人﹖即使在營區也發生這樣的風災的一些情況之下﹖他們還是去做這些救援﹖其實沒有運用到其他的人力﹖我們現在要說的我先簡單的再請教一下﹖因為剛剛念的這些可是民力﹖
transcript.whisperx[555].start 24079.19
transcript.whisperx[555].end 24094.231
transcript.whisperx[555].text 他們有亦警亦消就是這些民防團體他們在一般來說因為我們現在少子化尤其像我們現在的教招教招一般來說他的時間現在拉長然後他的頻率越來越高
transcript.whisperx[556].start 24094.831
transcript.whisperx[556].end 24095.572
transcript.whisperx[556].text 主席
transcript.whisperx[557].start 24113.434
transcript.whisperx[557].end 24116.616
transcript.whisperx[557].text 報告委員 有關招訊的兩個部分在內政部所處理是替代役
transcript.whisperx[558].start 24141.354
transcript.whisperx[558].end 24159.192
transcript.whisperx[558].text 替代議的部長我要請教的是因為不要講天那個我們都知道那個我們都知道已經存在的不用再解釋我現在要講的是因為你剛剛成立這個委員會那這個委員會裡面你又要那邊有40萬的可是名利那這些可是名利裡面扣掉比較
transcript.whisperx[559].start 24160.693
transcript.whisperx[559].end 24160.713
transcript.whisperx[559].text 委員:
transcript.whisperx[560].start 24175.41
transcript.whisperx[560].end 24176.17
transcript.whisperx[560].text 後備軍人由國防部負責
transcript.whisperx[561].start 24198.359
transcript.whisperx[561].end 24220.016
transcript.whisperx[561].text 那他是誰呢我跟委員再解釋一下部長你先不要講話那請教院長如果我們這個那邊的委員會我們現在要知道如果因為像義消、義警他們平常做了很多的社會服務的工作他們已經在做了他們是不需要被叫招的現在有人在傳那我們加入黑熊
transcript.whisperx[562].start 24222.438
transcript.whisperx[562].end 24239.755
transcript.whisperx[562].text 是不是我們就不需要叫招 這個變成他可以逃避叫招的一個管道可不可以 這個可不可以 院長請在這裡明確的讓大家知道這完全沒有辦法重疊跟取代每一個不同的團體他都有他的主管機關會負責他平常的業務 這個都不會受影響
transcript.whisperx[563].start 24240.556
transcript.whisperx[563].end 24257.009
transcript.whisperx[563].text 那或許我們在地方大型的演練的時候會有一些基本上的訓練但是這還沒有做到細部的計畫那為什麼要有40萬的名利因為大型災害來臨的時候可能在很多的地點可能在交通受阻的地方可能要出現非常緊急的救援
transcript.whisperx[564].start 24261.931
transcript.whisperx[564].end 24270.856
transcript.whisperx[564].text 南投縣曾經發生921大地震在這麼大的一個天然災害裡面其實大家的互助那個已經是每個人都動起來當然我們知道
transcript.whisperx[565].start 24272.557
transcript.whisperx[565].end 24272.937
transcript.whisperx[565].text 法定人數不足
transcript.whisperx[566].start 24297.003
transcript.whisperx[566].end 24297.323
transcript.whisperx[566].text 目前不會增加
transcript.whisperx[567].start 24328.184
transcript.whisperx[567].end 24353.124
transcript.whisperx[567].text 每年招訓的元額大概是26萬也就是說我們現在在徵招的時候在動員實施的時候你如果在徵招期間對於徵招勤務還有軍需生產的人力是召集退伍以後8年內的後備軍人大概就是76萬人如果再加上我們的常備部隊25萬人左右大概可以用的就是100萬
transcript.whisperx[568].start 24354.565
transcript.whisperx[568].end 24372.154
transcript.whisperx[568].text 就是在作戰的時候就是這一百萬人是可以用的因為我們為什麼要特別提出來是過去沒有像這樣子說把混在一起因為剛剛你的那個可是名利的就是這個委員會裡面其實他他的有些工作項目是跟軍
transcript.whisperx[569].start 24374.055
transcript.whisperx[569].end 24393.03
transcript.whisperx[569].text 這個我們在動員實施階段﹚軍方的這些任務其實是有些是重疊的﹚所以到時候可能會發生有一些混亂的一個狀況﹚我想請教的是如果暫時部隊耗損的時候補充人力要從哪裡來
transcript.whisperx[570].start 24396.807
transcript.whisperx[570].end 24408.982
transcript.whisperx[570].text 這個40萬的名利基本上他不會參與剛剛說的那樣的一個活動跟那樣的任務他主要是在訓練他從事剛剛說的協助收容緊急救援以及次序維護
transcript.whisperx[571].start 24410.08
transcript.whisperx[571].end 24432.293
transcript.whisperx[571].text 副長因為我為什麼特別提到就是說因為現在大家會覺得你好像準備的是戰爭的狀況所以我特別提出來是剛剛那40萬人裡面其實是跟我們的戰爭就是我們在沒有就是跟我們的後備體系可能會被納到包括我們常備部隊一起要參與作戰的如果他在梯隊耗損以後其實通常會從這些人
transcript.whisperx[572].start 24433.234
transcript.whisperx[572].end 24435.416
transcript.whisperx[572].text 謝謝馬文君委員的質詢謝謝卓院長相關部會所長的備詢報告委員會接下來登記第15號李寅泰化委員請質詢
transcript.whisperx[573].start 24467.134
transcript.whisperx[573].end 24470.735
transcript.whisperx[573].text 林委員好在正式質詢之前要希望得到我們行政院的權力支持這次短短兩個月內我們高雄市遭受楷米跟三坨颱風的重擊榮與災損
transcript.whisperx[574].start 24495.279
transcript.whisperx[574].end 24497.2
transcript.whisperx[574].text 風速達到一定的程度
transcript.whisperx[575].start 24525.287
transcript.whisperx[575].end 24548.804
transcript.whisperx[575].text 那麼全品項的救災這個是農業部早有的這個計畫當中在補助的措施當中那這一次包括跟上一次我們這一次到屏東他也是這樣子在處理那至於說免現勘的部分現在農業部他有一個APP的照相的平台你總是要有一個依據你把它拍的傳上去傳上去讓他說真的是這個地方有這個地點有這樣的損害
transcript.whisperx[576].start 24553.848
transcript.whisperx[576].end 24574.433
transcript.whisperx[576].text 好 院長 若您這樣已經承諾 我想地方政府各個城市跟鄉鄉政事公所他就知道 他只要提供照片免抗災就可以來做認定的一個依據但是這邊有一個善意的提醒 在4月3號我們的花蓮地震補助花東的農產品的運輸 我們的媒體政策上叫做全部補助蛋
transcript.whisperx[577].start 24575.253
transcript.whisperx[577].end 24600.059
transcript.whisperx[577].text 實質上每副補助的額度卻限100箱的這個交通補助所以在這邊只是善意的提醒避免政府的這樣的美意在執行到最末端的時候是榮民的感受跟政策間出現落差的遺憾好今天質詢的是消失的兒童郵寄權益別讓兒童郵寄權益成為台灣缺少的一塊拼圖
transcript.whisperx[578].start 24600.879
transcript.whisperx[578].end 24624.899
transcript.whisperx[578].text 在這邊兒童權益為普世價值政府不應該置身事外而且本身本國的法令是形成混亂的現況也讓院長知道以及我們現在特色遊景場的困境有三具體建議有三好兒童權益的為普世價值政府不該置身事外每年也就是下個月11月20號就是國際兒童人權日在聯合國兒童權利的這個兒童
transcript.whisperx[579].start 24627.701
transcript.whisperx[579].end 24648.971
transcript.whisperx[579].text 權利公約當中我們的第31條就講到兒童享有休息休閒的權利有從事適合其年齡的遊戲娛樂活動的權利以及自己參加文化生活藝術的生活的權利好本國2014年通過兒童權利公約實施法落實的做法是兩個現況
transcript.whisperx[580].start 24650.411
transcript.whisperx[580].end 24678.203
transcript.whisperx[580].text 各縣市政府各行其事我們的中央卻沒有主政的統籌機關好2015年民間發起黃我特色公園2022年民間團體說了希望許孩子一個永續的遊戲城市六都的候選人都承諾了但目前各縣市的做法是怎麼樣呢第一個裁員不同第二個主管機關不同在各縣市政府室外的公園遊戲場是公務局
transcript.whisperx[581].start 24679.884
transcript.whisperx[581].end 24695.563
transcript.whisperx[581].text 市內親子館是社會群各局處在公共建設當中是可以興建自己的親子遊樂場看到中央我們特色公園中央主管的機關是誰這邊一定要讓院長知道了
transcript.whisperx[582].start 24697.023
transcript.whisperx[582].end 24712.36
transcript.whisperx[582].text 衛福部社家署訂定遊戲場設施規範內政部國土署負責闢建公園綠地教育部國教署補助學校遊戲場建置經濟部水利署負責合併公園設置
transcript.whisperx[583].start 24714.702
transcript.whisperx[583].end 24729.962
transcript.whisperx[583].text 那產巴署要負責輔導本土的遊具業者我們特色公園主管機關是誰呢目前是多頭馬車那我地方政府要向哪一個部會來申請呢
transcript.whisperx[584].start 24730.643
transcript.whisperx[584].end 24758.676
transcript.whisperx[584].text 好我們有這個特色公園有三個困境第一個遮蔽不足高溫難耐這個遮陽設施是不足兒童啊是容易曬傷燙傷的而且呢公園的遮蔽不應該只有仰賴現有的樹木也應該要考慮到棚架帆布以及提供水源降溫好我們的地方政府的裁員部族就把這樣的遮陽設施納入了下一期的維護經費間接的就排擠到什麼
transcript.whisperx[585].start 24759.316
transcript.whisperx[585].end 24788.391
transcript.whisperx[585].text 部到公設體建設施的修繕預算好我們來看鋪面材質影響場地的溫度同等的日照設施自然草地跟人工草皮的溫度就可以達30度了好我們的特色公園困境二空間不足挑戰低挑戰性是低的特色公園的用地是取得不易除了發會聚資引進的外國特色郵據來改善現有公園各縣市政府是少有的
transcript.whisperx[586].start 24788.911
transcript.whisperx[586].end 24812.989
transcript.whisperx[586].text 用置地重劃取得公園用地﹚再用標授地備備來蓋遊戲場這樣的案例是少所以我們地方人投入的資源說不多的所以在這邊本席呼籲我們行政院中央應該要重視跟主打好我們再看這個有空間不足當中講的油罐罐頭油去充斥各公園
transcript.whisperx[587].start 24813.949
transcript.whisperx[587].end 24829.741
transcript.whisperx[587].text 雖然安全但是特色不足不好玩的公園就如同閒置的公共設施好第一個全國一封翁的蓋特色公園已經大同小異的國外郵據如鳥巢四秋間那遙遙馬出現了罐頭郵據2.0
transcript.whisperx[588].start 24833.323
transcript.whisperx[588].end 24860.782
transcript.whisperx[588].text 感覺就是同一本的廠商目錄挑出來的並不能向國外結合在地景觀跟人文特色發展鄉鎮特色的遊戲場第二個也因為我們太過度於依賴國外進口遊具要維修的時候就必須等待國外的零件缺乏國內產業鏈的這個連結好 第三個我們的數量不足好玩的公園是人潮洶湧
transcript.whisperx[589].start 24861.963
transcript.whisperx[589].end 24874.781
transcript.whisperx[589].text 不好玩的公園是乏人問津所以我們身為爸爸媽媽的現在是跨縣制為孩子找尋特色公園也印證了供需失衡比如我們屏東車城
transcript.whisperx[590].start 24876.411
transcript.whisperx[590].end 24893.048
transcript.whisperx[590].text 的洋蔥大福遊樂場高雄時代公園的遊樂場臺南港濱公歷史公園的遊樂場都是地方政府千萬級的打造但後續的維護費用是非常的高昂導致地方政府無法再興建新的同等級的遊樂場
transcript.whisperx[591].start 24894.349
transcript.whisperx[591].end 24916.402
transcript.whisperx[591].text 好我這個再講到身心障礙者我們的選項更少了輪椅族能玩的設施是不多的即使公園我採用共榮式的設計只要一走出遊樂場那我周遭的無障礙設施是未見改善我興建公園的美意減半所以本席也主張應該逐年撿到各公園各公園的這個遊戲場的共榮設施
transcript.whisperx[592].start 24920.105
transcript.whisperx[592].end 24940.363
transcript.whisperx[592].text 實現所有人一起玩具體建議有三這要請院長明確的答覆第一個 中央應確立主管機關到這個主管機關怎麼樣的重要呢因為是澈澈公園的主管機關他要來跟衛福部教育部內政部主計總處各單位來成立跨部會的專責
transcript.whisperx[593].start 24941.624
transcript.whisperx[593].end 24970.785
transcript.whisperx[593].text 院長您願不願意來認定兒童遊戲空間的國家總體目標如果我們行政院真的面對少子化當中我們也願意把兒童遊戲空間當作國家總體目標預算計劃我們通通就要出來了而且也要列為國家重點施政方向這是第一個等一下請院長來回應第二個我們除了室外之外室內也應該設置親子遊樂空間而且要結合右腳
transcript.whisperx[594].start 24971.425
transcript.whisperx[594].end 24971.445
transcript.whisperx[594].text 委員:
transcript.whisperx[595].start 24988.287
transcript.whisperx[595].end 24999.33
transcript.whisperx[595].text 運動中心﹚立體停車場﹚休閒校舍﹚活動中心﹚辦公大樓﹚輔導地方政府多目標使用﹚讓促餐業者榮記獎勵﹚讓他們願意回饋公共特色遊樂場﹚室內親子館的相關設施﹚擴大兒童遊戲場域
transcript.whisperx[596].start 25009.432
transcript.whisperx[596].end 25023.497
transcript.whisperx[596].text 針對室內的部分以及相關我們的公共建設 院部也有這樣的一個獎勵第三個 油具國產化跟公園特色化我們要讓罐頭油具不腐爛 國產油具帶動智慧製造
transcript.whisperx[597].start 25025.337
transcript.whisperx[597].end 25030.726
transcript.whisperx[597].text 智慧製造的特色就是少量多養所以請產業發展署將郵據國產化視為產業轉型的重點主責輔導國內的金屬構建房部塑膠地電建築景觀等產業
transcript.whisperx[598].start 25041.401
transcript.whisperx[598].end 25068.147
transcript.whisperx[598].text 發展特色遊戲場的解決方案提供國內多樣客製化的選擇降低進口的依賴同時帶動我們產業製造脈絡智慧化高質化協助公園結合地方特色提升兒童權益這三項我們一一來看院長您要怎麼樣的來承諾中央對於特色主管機關的部會是哪一個
transcript.whisperx[599].start 25068.971
transcript.whisperx[599].end 25074.519
transcript.whisperx[599].text 好委員報告社區裡面的公園或是校園裡的或是公園裡的
transcript.whisperx[600].start 25075.848
transcript.whisperx[600].end 25103.046
transcript.whisperx[600].text 他現在都是由他的場域所在地的目的事業主管機關那如果要把它統一一個地方效率是不是會更高呢在公園裡面的如果要衛福來管在學校裡面的值得考慮我們可以來考量這個事情是如何產生一個更高的效率同時就有很多是地方政府去維護
transcript.whisperx[601].start 25105.01
transcript.whisperx[601].end 25107.391
transcript.whisperx[601].text 特色公園不應該納入國家總體目標不應該納為國家重點的施施方向
transcript.whisperx[602].start 25120.518
transcript.whisperx[602].end 25137.934
transcript.whisperx[602].text 為了小孩子能夠有一個好的環境 院長您可以把這個問題帶回去 到你不需要在現在就馬上否決因為你這是矛盾 我說我們來想一個更高效率的方式至少你要回應本席 你要交給哪一個人或哪一個單位先來做研議
transcript.whisperx[603].start 25139.464
transcript.whisperx[603].end 25161.839
transcript.whisperx[603].text 還是要內政部跟教育部跟衛福部分別來討論一個就好 哪一個一個就好 那我請政委來負責好不好哪一個政委如果這樣我請陳時中政委來負責好 陳時中 陳政委 好 謝謝好 第二個我們在這個室外的兒童遊憩場域之外有室內的部分您認不認同呢 如果你認同在陳時中政委他的
transcript.whisperx[604].start 25162.499
transcript.whisperx[604].end 25175.855
transcript.whisperx[604].text 這樣的一個協調這個評估的當中他就會納入包括我的各個公共建設我如果有促成的隆基獎勵讓他能讓業者來回饋公共特色的遊戲場包括室內的遊戲場你的看法
transcript.whisperx[605].start 25178.678
transcript.whisperx[605].end 25178.838
transcript.whisperx[605].text 內政部討論:
transcript.whisperx[606].start 25194.685
transcript.whisperx[606].end 25216.511
transcript.whisperx[606].text 我要擴增我政府不用花太多的預算可是我卻能夠在公共建設導入的時候我就可以拿到我的公共設施這就是本席希望的在減少政府的負擔之下您願不願意也納入評估呢當然可以我請內政部來評估是由陳時中政委同樣這個方案來評估這個問題還是要內政部先來評估我們再送交政委來討論好了
transcript.whisperx[607].start 25222.099
transcript.whisperx[607].end 25246.57
transcript.whisperx[607].text 所以你這個是可以分開執行是嗎是只要內政部就可以來針對這個促參的部分就可以先來評估是嗎我想我這一件部分這個部分我可以請內政部來評估怎麼樣跟這個隆基獎勵等等那這樣的話是不是一個月內就可以給本席這樣的回應了好我請謝謝好第三個我們郵據國產化公園特色化
transcript.whisperx[608].start 25247.27
transcript.whisperx[608].end 25248.871
transcript.whisperx[608].text 經濟部的產發署就是在協助國內廠商你願不願意將主責這樣一個新增的業務給經濟部產發署呢
transcript.whisperx[609].start 25273.583
transcript.whisperx[609].end 25288.719
transcript.whisperx[609].text 可以的 產發組本身就是從事這樣的業務的謝謝院長你很明確的願意將我們的特色公園在很清楚的明確回應本席包括我們的國產化包括我們室內的增加透過相關的容積獎率的評估也願意在主則當中先
transcript.whisperx[610].start 25293.604
transcript.whisperx[610].end 25317.513
transcript.whisperx[610].text 做評估由我們陳時中政委好謝謝院長你很明確的對我們兒童權益的重視也願意把它當作國家總體目標這件事情我想要再問一次院長你認不認為兒童遊戲空間是國家的總體目標這是第一個兒童遊戲空間應不應該納為國家重點施政請回答這兩個問題
transcript.whisperx[611].start 25319.321
transcript.whisperx[611].end 25331.957
transcript.whisperx[611].text 兒童遊戲空間是國家可以發展的重要的政策之一這個我當然同意您願不願意把兒童遊戲空間的預算計畫演練為國家重點施政呢我們會在
transcript.whisperx[612].start 25334.241
transcript.whisperx[612].end 25358.057
transcript.whisperx[612].text 施政的過程當中會把他納進去整個施政當中的一環因為這是新生項目 院長其實這是過往我們政府沒有特別去重視所以希望在卓院長的人頂這個就是我們對於全台然後人民的所有的下一代他的遊戲權我們在卓院長的內閣當中很明確的一個施政的一個重點亮點好 謝謝院長謝謝 謝謝 謝謝委員
transcript.whisperx[613].start 25361.604
transcript.whisperx[613].end 25375.89
transcript.whisperx[613].text 謝謝林代化委員的質詢:謝謝卓院長的備詢報院會內政組織質詢已詢答完畢我們現在休息10分鐘休息之後進行外交及國防組織質詢現在休息
transcript.whisperx[614].start 25989.947
transcript.whisperx[614].end 26006.162
transcript.whisperx[614].text 現在我們繼續開會進行外交及國防組織質詢第一位沈博洋委員質詢以書面提出請行政院以書面答覆並列入記錄刊登公報接下來我們請黃仁委員質詢
transcript.whisperx[615].start 26020.68
transcript.whisperx[615].end 26049.503
transcript.whisperx[615].text 有請我們部長 國防部部長麻煩請國防部部長備選是 黃偉豪部長好國軍是不是螺絲鬆了今天下午兩點半在清泉崗
transcript.whisperx[616].start 26052.153
transcript.whisperx[616].end 26078.392
transcript.whisperx[616].text 防空 空軍防空器這個指揮部中心裡面發生了一個死亡案件這個是在信念的過程裡面子彈貫穿了下耳子彈從下耳裡面貫穿了這個臉結果後來送醫之後送醫不治死亡了
transcript.whisperx[617].start 26079.485
transcript.whisperx[617].end 26101.006
transcript.whisperx[617].text 在信念的過程我曾經待過那個單位我們在以前叫空軍防砲的一個信念營那個地方我們曾經受信的時候非常嚴格不管在任志作戰包含信念基礎的基本動作都非常嚴格
transcript.whisperx[618].start 26102.237
transcript.whisperx[618].end 26108.564
transcript.whisperx[618].text 現在反觀現在你看看我們很多的這些自殺案件軍中裡面的這些狀況包含剛剛發生的
transcript.whisperx[619].start 26114.364
transcript.whisperx[619].end 26143.15
transcript.whisperx[619].text 發生了是不是信念的問題還是鬆懈了造成士官兵的死亡今天父母好不容易把孩子送給到國金裡面來為國家效力但是在信念的過程包含教育信念這個非常嚴謹又嚴格的事情今天我想請教國金
transcript.whisperx[620].start 26151.789
transcript.whisperx[620].end 26160.778
transcript.whisperx[620].text 跟委員報告我剛剛也是接到司令跟我報告就這個部分當然我感到也非常沉痛
transcript.whisperx[621].start 26161.636
transcript.whisperx[621].end 26190.234
transcript.whisperx[621].text 那發生這樣不幸的意外那現在有關進一步的這個因為這個是在打靶訓練的過程當中發生的當然啦那有關這個整個過程是如何那他們現在正在調閱這個監視錄影帶那正在釐清事實當中那等事實釐清之後再跟我委員來做一個進一步的報告那我想我們
transcript.whisperx[622].start 26191.367
transcript.whisperx[622].end 26193.949
transcript.whisperx[622].text 就整個打靶訓練的過程當中的嚴謹度,我們會透過這些事件進一步檢討
transcript.whisperx[623].start 26202.501
transcript.whisperx[623].end 26227.332
transcript.whisperx[623].text 所以今天我們講的我們常常講說我們在這一次裡面的國防預算是最高6400多億買武器縱然是對我們國際的戰力戰備絕對有效但是現在的士兵的換算包含要自願意的現在已經減少的將近6成以上因為他們不願意當兵
transcript.whisperx[624].start 26228.195
transcript.whisperx[624].end 26251.981
transcript.whisperx[624].text 為什麼他寧可說我寧可在社會上工作我也不願意去擔兵那現在自願意的少之又少甚至他義務的也不願意去冒這個風險但是他必須要盡國家之義務那往往產生了什麼在訓練的過程包含這些紀律
transcript.whisperx[625].start 26252.722
transcript.whisperx[625].end 26252.902
transcript.whisperx[625].text 麻煩請卓院長備詢
transcript.whisperx[626].start 26281.564
transcript.whisperx[626].end 26281.885
transcript.whisperx[626].text 我們現在講的是一個
transcript.whisperx[627].start 26295.902
transcript.whisperx[627].end 26296.002
transcript.whisperx[627].text 主國論的問題主國論問題
transcript.whisperx[628].start 26325.107
transcript.whisperx[628].end 26335.523
transcript.whisperx[628].text 現在談論這個祖國論我們賴總統拋出了這個祖國論的論調我們看一下大陸到現在為什麼沒有任何反應
transcript.whisperx[629].start 26337.749
transcript.whisperx[629].end 26363.254
transcript.whisperx[629].text 沒有任何反應倒是我們不具名的國安據說國安高層透過管道放這個消息警告國人那大陸準備還台經驗到底是誰在地協力者那另外就是這顯然有自導自演的一個現象那今天討論這個祖國論
transcript.whisperx[630].start 26365.874
transcript.whisperx[630].end 26382.744
transcript.whisperx[630].text 對岸沒有任何反應我再請教雙數國慶即將來臨我們今天期待我們賴總統在對國人跟國際的這一些論述的話是不是又挑起
transcript.whisperx[631].start 26383.65
transcript.whisperx[631].end 26405.493
transcript.whisperx[631].text 這個祖國人挑起兩岸之間的神經那院長你回答一下希望也能夠賴總統聽到國人的期盼是希望和諧兩岸之間的和平而不是挑起待會我要問部長談非論來你回答一下
transcript.whisperx[632].start 26406.941
transcript.whisperx[632].end 26430.893
transcript.whisperx[632].text 報告委員總統過幾天在雙十國慶上面的講話當然不是我現在預先就能夠知道要講什麼話的但是從前一個晚上10月5號晚上國慶晚會上總統說中華民國是我們的祖國這句話邏輯一定沒有錯而且從歷史的事實看來中華民國存在113年這個歷史也沒有錯
transcript.whisperx[633].start 26434.226
transcript.whisperx[633].end 26462.73
transcript.whisperx[633].text 他的結論是中華民國跟中華人民共和國互不隸屬這個結論也沒有錯其實這個都是挑起了兩岸的神經講本國就好了嘛為什麼一定要講祖國論對不對我們很多在祖國論是他們的對岸的議題不是我們台灣中華民國的國家裡面所講的祖國論當然為什麼一定要
transcript.whisperx[634].start 26463.208
transcript.whisperx[634].end 26466.489
transcript.whisperx[634].text 沒有自導自演的這個狀況因為除了我剛剛講的三個沒有錯之外我們也希望
transcript.whisperx[635].start 26489.557
transcript.whisperx[635].end 26489.957
transcript.whisperx[635].text 國際危機組織 你有沒有聽過這個組織
transcript.whisperx[636].start 26518.475
transcript.whisperx[636].end 26543.751
transcript.whisperx[636].text 國際危機組織他是非營利的單位他是站在一個國際中立的論述講出了一段話講什麼話就是在報告說賴總統當選之後大陸已軟化的作詞有意是賴政府更容易表達出改善兩岸關係
transcript.whisperx[637].start 26545.953
transcript.whisperx[637].end 26564.122
transcript.whisperx[637].text 的意向但是賴總統以強硬的立場應對北京加劇了緊張的局勢國慶會自委約束但國際危機組織的報告裡面卻告訴了我們台灣的政客卻挑釁或升高其勢請問
transcript.whisperx[638].start 26567.339
transcript.whisperx[638].end 26593.745
transcript.whisperx[638].text 這個就是國際危機組織裡面所表達的因為在國際間他是認同這個國際危機組織的這個非營利的單位所表達的論述所以這個就是一個很明白的站在一個中立但是對我們國內來講我們常常會講一些意識形態的議題那部長你的看法勒
transcript.whisperx[639].start 26595.163
transcript.whisperx[639].end 26615.478
transcript.whisperx[639].text 我想總統的態度應該也都是在維持台海整個乃至於整個印太區域和平的這個觀點來從事相關的一個論述我們沒有無意要挑釁那跟委員報告我想您也可以看到每天共機擾
transcript.whisperx[640].start 26617.76
transcript.whisperx[640].end 26637.31
transcript.whisperx[640].text 進行軍事的恫嚇來越過中線洗澡然後軍艦在我們台海的周邊來環繞這個部分進行這樣挑釁迫害台海乃至印太的區域和平包括在南海跟東海這個都看得出來是中國在做我們沒有在製造這個挑釁的作為
transcript.whisperx[641].start 26638.31
transcript.whisperx[641].end 26664.786
transcript.whisperx[641].text 我想賴總統描述的也是一個客觀的事實也沒有再做任何挑釁的我想一個我站在一個比較中肯的角度來看來分享給院長國防部長第一個我們在過去裡面請問一下我們會常常有這樣的一個這個他們的潛艦在繞近到近向到我們12海裡有嗎在過去沒有為什麼
transcript.whisperx[642].start 26665.543
transcript.whisperx[642].end 26677.695
transcript.whisperx[642].text 因為我們的論述沒有去挑釁可是現在的論述一直在挑釁然後我們自己國人下阻自己的國人然後自己緊張那祖國論是不是
transcript.whisperx[643].start 26678.775
transcript.whisperx[643].end 26703.314
transcript.whisperx[643].text 國安高層裏面的放話來嚇阻我們國人這就是一個很多的一些異象很多的脈絡才會產生今天為什麼有很多的共青裏面的潛艦一直繞台繞台原因在哪裡就是因為我們今天的論述一直在挑釁論述一直在挑釁我們今天講的另外
transcript.whisperx[644].start 26705.706
transcript.whisperx[644].end 26724.8
transcript.whisperx[644].text 我想一直在挑釁的是中國,中國每天都在以軍事兵力的洗腦在挑釁我們武力犯台是過去我們一直不會說武力犯台,也沒有人去承認,也沒有人去否認,但是
transcript.whisperx[645].start 26726.172
transcript.whisperx[645].end 26751.364
transcript.whisperx[645].text 台灣有些高層就是一直主張挑釁的論述所以產生今天為什麼會我們兩岸之間的緊張的局勢都會產生原因就在這裡第二個關於全社會防疫韌性政策好這韌性政策裡面就會有什麼有五大的涵蓋五大的主軸第一個就是
transcript.whisperx[646].start 26752.022
transcript.whisperx[646].end 26753.963
transcript.whisperx[646].text 好今天我們如果
transcript.whisperx[647].start 26781.485
transcript.whisperx[647].end 26810.175
transcript.whisperx[647].text 在真正動全員動力然後40萬名令如果再以按照今天的報告的結果有將近七成都不同意這七成不同意的話怎麼辦你如果你這論述你要召集這個所謂的這個全社會防衛任性委員
transcript.whisperx[648].start 26811.677
transcript.whisperx[648].end 26812.738
transcript.whisperx[648].text 跟委員報告齁我們
transcript.whisperx[649].start 26839.369
transcript.whisperx[649].end 26862.811
transcript.whisperx[649].text 要維持一個韌性的台灣要能夠防備任何的緊急事態的一個發生我們一定要強調我們全社會的一個韌性所以這個重點是在我們要強調整個全社會的一個韌性這樣的韌性越強我們才有辦法讓這個中國一直表示不放棄以武力併吞台灣的這個企圖
transcript.whisperx[650].start 26864.232
transcript.whisperx[650].end 26884.934
transcript.whisperx[650].text 透過我們這個韌性透過我們國軍的自我防衛的能力的決心一直在加強之後才能夠有效的嚇阻中國不敢輕易的冒進那我想這個全民防衛這個全社會防衛韌性委員會的目的也就是在目標就是在國家面臨災害或緊急狀況的時候
transcript.whisperx[651].start 26886.375
transcript.whisperx[651].end 26899.007
transcript.whisperx[651].text 他可以維持整個政府跟社會核心功能的持續運作這是很重要的一個任性台灣的建設的項目之一那如果說大家沒有辦法維持這樣的一個任性
transcript.whisperx[652].start 26901.423
transcript.whisperx[652].end 26920.175
transcript.whisperx[652].text 我們就沒有辦法能夠足夠的產生一個嚇阻力量那你剛剛的命題我要說的是那有超過8成5以上的人都主張要維持現狀那維持現狀在中國看起來我想他也是不能他也是一種挑釁
transcript.whisperx[653].start 26921.135
transcript.whisperx[653].end 26943.664
transcript.whisperx[653].text 他就是不能夠接受第一個我剛剛前面所談的國軍的螺絲現在在鬆懈了如果我們今天把國軍的戰備戰力我們的國軍的信念有數的話請問我們還有民兵嗎我們以前有召集過啊召集令一個禮拜
transcript.whisperx[654].start 26997.761
transcript.whisperx[654].end 26998.102
transcript.whisperx[654].text 徐巧興委員
transcript.whisperx[655].start 27029.827
transcript.whisperx[655].end 27031.048
transcript.whisperx[655].text 謝謝 謝謝院長 那我們有請這個 請開門等一下
transcript.whisperx[656].start 27059.235
transcript.whisperx[656].end 27059.475
transcript.whisperx[656].text 麻煩請卓院長備選
transcript.whisperx[657].start 27090.905
transcript.whisperx[657].end 27117.376
transcript.whisperx[657].text 徐委員好院長好我第一個想問的是國家級警報在2024年1月9號大選前曾經發布過那時候還把衛星寫成飛彈造成了人民的恐慌這一次在雙十國慶的前夕不僅不知名的國安高層放了消息告訴大家大陸準備要進行還台的軍演
transcript.whisperx[658].start 27118.036
transcript.whisperx[658].end 27124.262
transcript.whisperx[658].text 國防部也發了新聞稿說明對方將在雙十國慶發布會經過我國ADIZ的衛星那請問這次會發布國家急警報嗎
transcript.whisperx[659].start 27129.733
transcript.whisperx[659].end 27147.807
transcript.whisperx[659].text 先跟我們報告您說的第一次在1月份的那個警報確實在用詞上不夠精準是我想各個相關的單位也做過事後的檢討那已經有相當的改進我想未來這種事情不至於發生那至於說現在在國慶之前在台灣海峽上面確實
transcript.whisperx[660].start 27149.288
transcript.whisperx[660].end 27171.803
transcript.whisperx[660].text 這段時間以來都有一些大大小小的各種在中國海空軍的演習是真的那我們也充分掌握各種動向我還是認為對國家的安全沒有妨礙對人民的安心我們要讓人民感覺到我們在國慶日當天因為目前國防部已經發布了這個知道了10月10號的時候會有一個
transcript.whisperx[661].start 27172.824
transcript.whisperx[661].end 27177.468
transcript.whisperx[661].text 我們現在所獲得的情緒理解它是就由西艙發射之後往西太平洋的方向飛行那會經過我們台灣防空的識別區
transcript.whisperx[662].start 27195.626
transcript.whisperx[662].end 27207.321
transcript.whisperx[662].text 但在經過我們這裡的時候應該已經高度已經卡門線了沒有預計發布就對了但是我們仍然會應用各種的行政手段來掌握整個彈道的方向這下要問的是顧部長
transcript.whisperx[663].start 27215.01
transcript.whisperx[663].end 27242.458
transcript.whisperx[663].text 剛才您已經證實在清泉崗基地發生的這個悲劇是有一名士兵身亡令人感到遺憾但是這個過程也非常的懸疑到目前為止都沒有辦法確認該員重槍的原因是什麼是自槍是操作不當還是被榴彈打到所以我想請部長現場替我們說明空軍執行T91步槍的打靶射擊從打靶到輕槍的SOP是什麼
transcript.whisperx[664].start 27244.488
transcript.whisperx[664].end 27256.776
transcript.whisperx[664].text 我想細節的這個部分我現在也沒有辦法能夠詳細的回答為什麼不能詳細的回答因為你問的是等於是打靶的流程的一個SOP對啊 您當貨幣嗎對 那我想
transcript.whisperx[665].start 27260.698
transcript.whisperx[665].end 27261.759
transcript.whisperx[665].text 我問的是T91鋪槍的打靶射擊從打靶到輕槍的SOP
transcript.whisperx[666].start 27284.098
transcript.whisperx[666].end 27288.463
transcript.whisperx[666].text 您是新任的部長,但是這些SOP您應該要了解
transcript.whisperx[667].start 27299.655
transcript.whisperx[667].end 27324.717
transcript.whisperx[667].text 因為呢我給您一些時間因為您不是軍人部長出身但是我必須也很坦誠的告訴你這是一個國防部長應該最基本要了解的然後國軍向我反映今天有國軍向我反映他說每一次打靶的時候他都很害怕因為輕槍的人第一很多人沒有按照程序來
transcript.whisperx[668].start 27325.95
transcript.whisperx[668].end 27346.467
transcript.whisperx[668].text 打彈時安全軍官以為處理好了結果槍枝還是故障有時候是檢查的人有問題有時候根本就是槍枝故障有問題所以這邊要特別跟部長來拜託調查的時候請不要只推給士兵說他不清楚流程自己疏失
transcript.whisperx[669].start 27347.268
transcript.whisperx[669].end 27367.046
transcript.whisperx[669].text 人既然是非自然死亡我認為也應該請檢調一起進來查核而且這不是單一士兵的擔憂是許多軍人都有的共同恐懼國防部應該要全面的改善跟檢討打打槍支以及槍支檢查的SOP部長可以做到嗎
transcript.whisperx[670].start 27367.546
transcript.whisperx[670].end 27384.433
transcript.whisperx[670].text 是我想委員的指教是對的我想我下去之後根據這個事件我會要求全面的釐清相關事情這個不幸事件發生的經過那整個您剛剛提到的整個SOP他有沒有做到那應有的SOP是什麼
transcript.whisperx[671].start 27385.049
transcript.whisperx[671].end 27405.955
transcript.whisperx[671].text 那我一清之後再跟委員做一個詳細的報告好那接下來呢兩位也都請留步首先我們要來請教的是這個PDA總統的提用權也就是美國免費的提供臺灣軍事援助那我們是不用出錢的本來是美式一裝這個院長應該也非常的清楚
transcript.whisperx[672].start 27407.216
transcript.whisperx[672].end 27421.152
transcript.whisperx[672].text 去年7月底美國白宮首度宣布要動用PDA美國總統提用權對台灣軍事價值提供3.45億美元也就是110億台幣的裝備這聽起來非常的美好
transcript.whisperx[673].start 27425.217
transcript.whisperx[673].end 27453.975
transcript.whisperx[673].text 但是呢在今年的9月11號美國白宮呢他們也在這個國防部的檢查總長發出的針對美國國防部用的這個總統提用權提供給臺灣裝備之追蹤監察評估報告裡面說明了這些PDA裝備沒有進行有效的品質管理你可以看到上面發布的單位是美國的Inspector General那請問一下我先問一下卓院長
transcript.whisperx[674].start 27454.795
transcript.whisperx[674].end 27464.745
transcript.whisperx[674].text 您有看過這份報告嗎 院長 詳細報告的內容沒有全部看到 但知道這個過程那部長請問您有看過這份報告嗎
transcript.whisperx[675].start 27466.126
transcript.whisperx[675].end 27494.073
transcript.whisperx[675].text 他們有跟我做過相關的簡報OK做簡報好那既然是這樣的話齁那我先問一下院長齁因為這題是院長的要確認一下院長對國政是否瞭解那請部長先稍等一下這3.45億的PDA項目目前有多少抵達台灣了這個應該是要問部長要先問你等一下會問他這個我真的你不確定這個我不會每天去問多少進度在這裡好那個部長
transcript.whisperx[676].start 27496.35
transcript.whisperx[676].end 27501.494
transcript.whisperx[676].text 我問的是多少比例已經來到臺灣了?3.45億的第一批我們正在跟美國的國安部互相協調我們在跟美國的國安部在協調3.45億的第一批100%已經抵達臺灣了報告裡面都有寫
transcript.whisperx[677].start 27523.391
transcript.whisperx[677].end 27538.472
transcript.whisperx[677].text 報告裡面都有寫來我們看一下那你一定就也不知道3.451裡面的第一批貨送往臺灣的時間點在什麼時候吧因為前面一個問題你都不知道了後面一個問題顯然你也不知道沒關係那我直接告訴大家
transcript.whisperx[678].start 27539.994
transcript.whisperx[678].end 27560.87
transcript.whisperx[678].text 頭兩架飛機飛來台灣是在去年的12月底左右那這個騎乘是去年的12月底一路到今年的3月中這是第一批美國的PDA他開始提供台灣軍軍事的支援從去年的12月到今年的3月中左右的這一段時間那一共就是110億元的軍事協助
transcript.whisperx[679].start 27564.833
transcript.whisperx[679].end 27584.982
transcript.whisperx[679].text 但是我們從去年底到3月中左右收到的第一批PDA的軍備卻是長這樣我們看一下各種發霉或是受潮的情況請問國防部是在審的時候知道PDA的軍備我們所收到的有這樣子受損跟發霉的損壞這件事情的
transcript.whisperx[680].start 27585.282
transcript.whisperx[680].end 27585.622
transcript.whisperx[680].text 請問如何處理?
transcript.whisperx[681].start 27610.455
transcript.whisperx[681].end 27638.104
transcript.whisperx[681].text 檢診之後就要去檢查這些防彈背心跟您提到的這些彈藥本身還是不是堪用我們最後檢診的結果還是堪用不過我們在程序上我們認為這個程序就是說它在交運的這個程序的過程當中有這樣的疏失我們還是要求要改善好的 了解我們看一下那個站板的圖片好不好
transcript.whisperx[682].start 27639.685
transcript.whisperx[682].end 27664.625
transcript.whisperx[682].text 讓這個部長那個對他是這樣子一箱一箱運進來的你可以看到這個圖片他是這樣一箱一箱運進來的那因為那個底下一個一個的站板我們用那個站板來做計算的話他這個一塊一塊的站板他就是一箱一箱的運那請問一下以這個站板的數量來做計算的話請問國防部知道有多少的比例是有受潮的情況嗎
transcript.whisperx[683].start 27666.785
transcript.whisperx[683].end 27667.425
transcript.whisperx[683].text 可是他是一個公開的報告呀
transcript.whisperx[684].start 27696.668
transcript.whisperx[684].end 27712.103
transcript.whisperx[684].text 對那這一個部分呢只是在其中的我只能告訴你就是說67%我不想浪費時間了我現在所說的東西都不是秘密他是公開在網路上可以看到的美國公開的報告67%的
transcript.whisperx[685].start 27716.126
transcript.whisperx[685].end 27734.616
transcript.whisperx[685].text 這樣子運過來的產品它都是受潮的我們接下來繼續看如果您講的是黃蛋背信的話黃蛋背信我們接受原證的這個項目有好幾萬到十幾萬件不等只有4000餘件是受潮發明的狀況
transcript.whisperx[686].start 27736.537
transcript.whisperx[686].end 27761.179
transcript.whisperx[686].text 這個我想黃彈背信的部分是這樣子彈的部分大概您提到了大概是就是說有些是期限的問題但是我跟您提就是說傳統的彈藥是批號彈藥裡面它並其實並沒有期限問題所以它還是要經過檢診之後算是堪不堪用經過檢診之後還是可以堪用所以最重要的是抗彈板的部分你們要確定絕對不能再用了
transcript.whisperx[687].start 27761.519
transcript.whisperx[687].end 27782.473
transcript.whisperx[687].text 因為呢 其實像防彈衣 抗彈板 子彈跟搬用機槍的部分都很多有受潮 損毀 發霉跟包裝不良的用品所以它被局部公開了接下來 國軍確實花了數週整理烘乾跟庫存受損的軍品我想請問 我們國軍針對這一批受損的
transcript.whisperx[688].start 27786.535
transcript.whisperx[688].end 27813.05
transcript.whisperx[688].text PDA裝備我們有沒有花經費來做處理處置跟委員報告我想我們已經我剛剛已經已經有透露一些我們接受了一些狀況了但是我不想我不覺得我應該要再進一步就每一項的品項跟跟委員在不是每一項就是整體而言我現在要說明的就是剛剛已經說了是少量的狀況有
transcript.whisperx[689].start 27814.051
transcript.whisperx[689].end 27828.643
transcript.whisperx[689].text 那我們少量狀況那經過跟美方反映那也共同來檢診之後我們認為是可以堪用的那這個本身就是應用我們自己本身的很少量嗎美國國防部光是他們自己在回收這一批東西花了2405個小時花了62萬美金
transcript.whisperx[690].start 27833.027
transcript.whisperx[690].end 27856.998
transcript.whisperx[690].text 也花了另外11萬美金去更換105個防彈板跟3件戰術背心然後這是還沒有運到台灣的部分那我們台灣也花了好幾個禮拜針對受潮發媒的PDA裝備進行拆包乾燥跟盤點而且根據報告裡面來說我們國軍是有出資的我想請問我們花了多少錢在
transcript.whisperx[691].start 27857.978
transcript.whisperx[691].end 27863.849
transcript.whisperx[691].text 免費的最貴的這件事情上面是用自動支了哪一筆的預算來做相關的盤整
transcript.whisperx[692].start 27865.582
transcript.whisperx[692].end 27887.642
transcript.whisperx[692].text 我覺得我要跟委員報告我們接受的您剛也提到了這個公開的資料顯示它這是110億的一個這麼大的一個款項接受的這個項目跟時間我們認為是屬於機密不宜公開那其中有四千餘件是受潮發明的這個狀況我們本身應用我們自己既有的這個維持的這個
transcript.whisperx[693].start 27891.641
transcript.whisperx[693].end 27895.802
transcript.whisperx[693].text 那請問這些受潮損壞的東西會被計算在第一批的3.45億美元的PDA扣打裡面嗎?沒有沒有 有些不堪用退回去了
transcript.whisperx[694].start 27913.382
transcript.whisperx[694].end 27915.063
transcript.whisperx[694].text 跟委員報告我不曉得您的資訊的來源是哪裡紫色的那一頁
transcript.whisperx[695].start 27927.506
transcript.whisperx[695].end 27953.949
transcript.whisperx[695].text 我剛已經告訴你了是Inspector General他們美國的檢察院的這公開的報告我剛也問你們有沒有看過一位告訴我說有向林檢報過一位告訴我說你們知情然後知道有這樣子的一個說明我所有剛剛提出的每一個內容每一個都是從報告裡面的公開資訊你們不要自己沒有看報告的細節跟內容然後就說這個是秘密
transcript.whisperx[696].start 27954.569
transcript.whisperx[696].end 27977.044
transcript.whisperx[696].text 這沒有在網路上都能夠查得到的事情那這是我接收到的狀況也沒有錯阿來自於美方的報告也沒有錯阿好最後我時間真的很不夠最後看一下最後一張好不好是我們都是提到已經交易的部分來看最後一張這上面都是寫到我們接收的狀況他是根據來到台灣的PDA做的整個調查
transcript.whisperx[697].start 27984.409
transcript.whisperx[697].end 27996.174
transcript.whisperx[697].text 最後我們向你們所知我們在驗貨的時候我們是由美方押運人員與國防部負責簽收報關及出關作業但在他們的調查裡面是
transcript.whisperx[698].start 28010.498
transcript.whisperx[698].end 28011.578
transcript.whisperx[698].text 主席有請卓院長麻煩再請卓院長備選
transcript.whisperx[699].start 28041.821
transcript.whisperx[699].end 28061.559
transcript.whisperx[699].text 議員長首先我要真的在這個正式的國會典當當中表達我們博軍在這次救災當中的權力資源尤其在重創高雄的兩個月內的颱風在這邊我深深的一鞠躬感謝第二個也針對剛才所發生的事故我們士兵在訓練當中貫穿臉部
transcript.whisperx[700].start 28065.362
transcript.whisperx[700].end 28084.016
transcript.whisperx[700].text 而死亡本席在這邊希望得到院長兩個承諾第一個趕快的加速調查原因第二個後端的撫恤我想這也是我們現在的家屬最難過的時候所以部長您怎麼來看這本席的這兩個的訴求
transcript.whisperx[701].start 28086.213
transcript.whisperx[701].end 28115.711
transcript.whisperx[701].text 報告委員除了剛剛部長在這裡﹖就初步手上資料答覆之外﹖我們會請空軍指令部﹖會做統一的調查跟說明﹖這個一定給家屬﹖也給社會一個清楚的交代﹖同時用這個事件﹖對貴來軍方﹖在打靶訓練過程當中﹖如何做得更安全﹖那當然是一個重要的課題﹖我們會嚴肅的面對在撫恤的部分 院面在這邊也做個﹖在之後的報告公開的這個公告的時候﹖也做個說明了
transcript.whisperx[702].start 28116.884
transcript.whisperx[702].end 28145.491
transcript.whisperx[702].text 復續的部分復續復續我們當然這個我們當然會按照規定來然後我們來從優來復續好從優復續好本期這個正式質詢這個孤軍後裔回國國家的承諾不能再延遲第一個我針對亞西亞的孤兒孤軍的援取做個說明第二個孤軍在國外的狀況跟國內在辦理國際上的困境最後本期有具體的要求
transcript.whisperx[703].start 28145.991
transcript.whisperx[703].end 28162.6
transcript.whisperx[703].text 人權作家博洋在議遇書中有提到一群被遺忘的人他們戰死便與草木同袖他們戰勝仍是天地不容這一群人他認定他是中華民國的國籍可是他卻不能回歸中華民國這個祖國
transcript.whisperx[704].start 28166.541
transcript.whisperx[704].end 28185.727
transcript.whisperx[704].text 雅夏姑兒追溯到1949年國共內戰勢力後﹐隨後在當地也成立了一支非常特殊的軍事力量﹐當初策隊來台11300多人﹐在當地的社會當中是受到歧視跟排擠的﹐
transcript.whisperx[705].start 28187.107
transcript.whisperx[705].end 28215.075
transcript.whisperx[705].text 這個在當地當中也沒有辦法有他的身份所以他們所面對的困境就是在在當地當中的教學醫療是嚴重受到限制的因為他沒有正式的身份證而也因為沒有身份證缺乏合法的工作機會後後裔其後裔的家庭是生活貧困的依賴低薪或不穩定的工作在就業困難導致經濟困境在當地當中就會是社會地位邊緣化
transcript.whisperx[706].start 28216.576
transcript.whisperx[706].end 28234.076
transcript.whisperx[706].text 到我們國內來的時候目前有列管在案包括他後裔總共有16萬人但是還未處理的我相信國防部這邊也應該有列管有將近1萬多人所以本席現在是針對這1萬多個
transcript.whisperx[707].start 28236.358
transcript.whisperx[707].end 28253.734
transcript.whisperx[707].text 沒有國籍在臺灣的人來發聲臺灣長期透過喬生回國生學教育吸引的海外所以我們的泰緬的喬生來臺所以這一群人很多是以學生的身份居留來臺過期之後他們就
transcript.whisperx[708].start 28256.076
transcript.whisperx[708].end 28281.105
transcript.whisperx[708].text 回不去因為在那邊沒有身分證所以他也不能回去所以在他這邊他又因為這個學期也到所以變成了黑戶的困境所以在政府有曾經啟動3次的啟動專案最後一次所遺留下來的出谷也有超過1萬人根據監察院的報告為了因應這個制裁
transcript.whisperx[709].start 28282.626
transcript.whisperx[709].end 28306.365
transcript.whisperx[709].text 太免的裝案我們曾經最後一次的開放只有兩天2008年的7月15號到16就兩天結果登記875人那這個案件涉及的政府機關很多國防部、僑委會、外交部、內政部的副政司、移民署所以光是機關依法要求說你要有出身證明
transcript.whisperx[710].start 28307.746
transcript.whisperx[710].end 28325.875
transcript.whisperx[710].text 這件事情就這麼一個初步的一個政見非常的困難那時候的緬甸局勢是因內戰而動盪不安而且當時是有排華是幾乎是消滅式的排華在逃亡過程當中不可能有這些身份證的遺留
transcript.whisperx[711].start 28326.355
transcript.whisperx[711].end 28343.912
transcript.whisperx[711].text 而且就人權的角度許多在泰民地區並未擁有國籍在台灣他又以非法身份拘留他們並不是惡意要規劃為台灣人民而是他們自己認定我就是中華人民共和國就是中華人民的我們台灣的這個國家的國人
transcript.whisperx[712].start 28347.093
transcript.whisperx[712].end 28366.353
transcript.whisperx[712].text 好 這個也因為政府在戰亂當中國家開出的支票至今未兌現國家開出了什麼這個假撤退 真留守所以這群人說好啦我們這個不管是在蔣介石時代或者蔣經國時代我們就要撤退但是還是讓他們真正的留守在當地
transcript.whisperx[713].start 28366.813
transcript.whisperx[713].end 28389.588
transcript.whisperx[713].text 所以真的是大概60%的人就是為國犧牲僅有3%的人能夠回到台灣對於他們身為台灣人民對於在國家認同的路上是非常艱辛的所以在我們孤軍的第一代已經逐漸的去世了第二代也接受在當地當中也接受中華民國的傳統教育
transcript.whisperx[714].start 28397.074
transcript.whisperx[714].end 28421.355
transcript.whisperx[714].text 那包括呢在這個孤軍後裔啊他們都形容自己像流浪狗一樣只因為他沒有身份跟拘留證也沒有辦法享有健保在台灣他們的窘境是什麼從事黑工工資也常常被剝削例如工地的出工的日薪是1800他們卻只能拿到800塊那在也不敢向業主反映也因為怕被檢舉生病的時候
transcript.whisperx[715].start 28421.815
transcript.whisperx[715].end 28426.118
transcript.whisperx[715].text 在我們台灣當中已經形成的一個區域的特色比如新北市的中華新街地區桃園中正新村眷村文化中橫的博旺社區高雄的美容金工社區
transcript.whisperx[716].start 28449.372
transcript.whisperx[716].end 28467.917
transcript.whisperx[716].text 但是在相關他們沒有規劃國籍的後裔其實都散在這些區域當中好那這個一樣的故事兩樣其實在本辦所接觸的各個案例當中我就舉一個最明顯的一對兄妹同父同母妹妹是喬生的身份回國所以他獲得中華人
transcript.whisperx[717].start 28469.397
transcript.whisperx[717].end 28497.92
transcript.whisperx[717].text 獲得中華民國公民的身份就是我們臺灣籍而哥哥就是以外籍的身份來就讀他是沒有辦法取得公民的身份那所以直到只能被遣返回去之後他就以外配的身份留在臺灣那現在也可以取得中華民國身份證可是他不願意因為他如果現在申請的話他的資格叫做外配可是這一位陳情人他說
transcript.whisperx[718].start 28498.22
transcript.whisperx[718].end 28498.64
transcript.whisperx[718].text 議員長施政報告
transcript.whisperx[719].start 28516.952
transcript.whisperx[719].end 28516.972
transcript.whisperx[719].text 院長
transcript.whisperx[720].start 28538.646
transcript.whisperx[720].end 28553.594
transcript.whisperx[720].text 是的 在學生時代也看過《抑鬱》這本書啦當時也是看到熱血沸騰 非常感動那我所知道在112年我們做過一次的處理 行政做過一次處理那個結論其中一項就是
transcript.whisperx[721].start 28555.1
transcript.whisperx[721].end 28568.587
transcript.whisperx[721].text 這是當時所做的決定已經是最終的處理所以比照97年的決議來做處理依照移民法 讓這些人進來所以本席才講說你願不願意評估評估啟動第4次我們現在看看第3次所做的這個決定為什麼是最終決定
transcript.whisperx[722].start 28577.392
transcript.whisperx[722].end 28599.988
transcript.whisperx[722].text 小委會這邊有比較清楚﹖所以你願意﹖那如果說之後有新的狀況發生﹖那足以再讓我們啟動的話﹖現在本期就告訴你這個資料啦﹖還有1萬多人啊﹖1萬多人無國籍啊﹖來在台灣他現在就成為黑富王﹖他現在上班工作就是黑富王﹖拿著薪資少﹖就醫沒有權力﹖就學沒有權力﹖
transcript.whisperx[723].start 28602.029
transcript.whisperx[723].end 28617.067
transcript.whisperx[723].text 那能不能依照112年所做的決定就是依照97年所做的決議依照這個移民法來做相關的處理院長我還是這樣您願不願把這邊還是交入評估因為他跨部會您主責一個政委
transcript.whisperx[724].start 28617.668
transcript.whisperx[724].end 28636.741
transcript.whisperx[724].text 那我們認真的評估這樣的一個第4次或者也就是說你院長在任願意就是呢做事這樣的黑戶繼續在台灣生存讓他自生自滅沒有國籍沒有身分證沒有就醫權竟然我們容許台灣人權的國家容許這樣的狀況在台灣發繼續
transcript.whisperx[725].start 28638.422
transcript.whisperx[725].end 28639.142
transcript.whisperx[725].text 委員 因為我們沒有看到這一萬多人的真實資料
transcript.whisperx[726].start 28654.628
transcript.whisperx[726].end 28671.951
transcript.whisperx[726].text 那因為最後一次的專案處理到現在97年的原則都還是有效的那你願不願意做評估呢都還是有效我們都可以先了解這一萬多人的具體資料如果照委員現在所述那可能他現在叫做非法拘留的狀態
transcript.whisperx[727].start 28673.212
transcript.whisperx[727].end 28675.994
transcript.whisperx[727].text 我只讓你評估,我沒有叫你一定要承諾本席喔
transcript.whisperx[728].start 28694.925
transcript.whisperx[728].end 28709.595
transcript.whisperx[728].text 對於一個人權的國家我們怎麼可以容許我們自己認定為台灣人的一個國人他們回歸自己台灣的祖國竟然我們還做事是不是願意啟動第4次評估呢
transcript.whisperx[729].start 28709.735
transcript.whisperx[729].end 28710.155
transcript.whisperx[729].text 跟委員報告事實上
transcript.whisperx[730].start 28739.027
transcript.whisperx[730].end 28765.903
transcript.whisperx[730].text 這個國軍後裔證明他是第一部好 院長您願不願意啟動這樣第4次的專案 評估這個評估就是我們收集資料再跟委員請教還是秘書長還是你要讓國防部來做主責 我也沒意見但絕對不要是僑委會 對不起我沒有 僑委會國防部跟內政部 我們來手上的資料再跟委員請教 把委員的資料提供主軸單位是誰 我不想聯絡那麼多部會 主軸單位是誰
transcript.whisperx[731].start 28767.708
transcript.whisperx[731].end 28793.462
transcript.whisperx[731].text 我們是不是如果是移民法我們請內政部內政部移民署做主責來跟委員把資料收集資料我們來對對看需要往後走我們就繼續看怎麼方式來處理所以你還不願意啟動第4次的評估先收集資料嗎這個就是一個過程我想院長您既然是國家的行政院長請你把格局拿高我本人實在很難忍受
transcript.whisperx[732].start 28794.142
transcript.whisperx[732].end 28809.407
transcript.whisperx[732].text 我本期不能忍受一個人權自由民主的國家我們還容許有黑富在台灣而且他們重新就是認定我就是台灣人我要取得中華民國的國籍本期這個是人權民主的價值
transcript.whisperx[733].start 28811.048
transcript.whisperx[733].end 28822.283
transcript.whisperx[733].text 委員我們不曉得這一萬多人已經在臺灣居留多久而且如果他們是在97年以前就進來的那表示你是要代替院長做這個評估嗎好 院長請回答
transcript.whisperx[734].start 28827.43
transcript.whisperx[734].end 28843.203
transcript.whisperx[734].text 我剛跟委員報告過了我們請內政部把所有的資料所以你不願意做第4個評估先做收集資料這就是一個過程嘛就從這樣開始那如果這個資料收集出來確實這麼多人在這依照現在的法律依照現在的法律沒有辦法處理我們會進行以下的處理
transcript.whisperx[735].start 28843.889
transcript.whisperx[735].end 28859.785
transcript.whisperx[735].text 好 那兩個月內 完成資料的收整 也請委員提供好的 兩個月內 請內政部來收整這樣的資料 好 以上謝謝謝謝委員謝謝林黛化委員的質詢 謝謝卓院長跟相關部會所長的備詢
transcript.whisperx[736].start 28865.806
transcript.whisperx[736].end 28894.132
transcript.whisperx[736].text 辦委會本日排定質詢的委員均已經質詢完畢謝謝卓院長及相關部會首長的列席答詢現在做以下決定下次會議進行經濟組織質詢我們現在繼續處理復議案本院民進黨黨團針對第二次會議報告事項第三案及第四案之決定提出復議請公決案現做以下決定
transcript.whisperx[737].start 28894.707
transcript.whisperx[737].end 28899.897
transcript.whisperx[737].text 我們另定其處理報言會本次會議進行到此為止我們現在散會
會議時間 2024-10-08T09:00:00+08:00
會議名稱 第11屆第2會期第3次會議(事由:對行政院院長施政報告繼續質詢)
委員發言時間 08:30:15 - 16:35:00
IVOD_ID 16154
IVOD_URL https://ivod.ly.gov.tw/Play/Full/1M/16154
日期 2024-10-08
會議資料.會議代碼 院會-11-2-3
會議資料.屆 11
會議資料.會期 2
會議資料.會次 3
會議資料.種類 院會
會議資料.標題 第11屆第2會期第3次會議
影片種類 Full
開始時間 2024-10-08T08:30:15+08:00
結束時間 2024-10-08T16:35:00+08:00
支援功能[0] ai-transcript