iVOD / 16538

Field Value
IVOD_ID 16538
IVOD_URL https://ivod.ly.gov.tw/Play/Full/1M/16538
日期 2025-03-24
會議資料.會議代碼 委員會-11-3-20-4
會議資料.會議代碼:str 第11屆第3會期財政委員會第4次全體委員會議
會議資料.屆 11
會議資料.會期 3
會議資料.會次 4
會議資料.種類 委員會
會議資料.委員會代碼[0] 20
會議資料.委員會代碼:str[0] 財政委員會
會議資料.標題 第11屆第3會期財政委員會第4次全體委員會議
影片種類 Full
開始時間 2025-03-24T08:30:36+08:00
結束時間 2025-03-24T13:21:00+08:00
影片長度 04:50:24
支援功能[0] ai-transcript
video_url https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/b41997f390c3528ed471259357e90fe0d3ce1f984cbe58117692a6bdb7e2f09fc030353d6bb295d45ea18f28b6918d91.mp4/playlist.m3u8
會議時間 2025-03-24T09:00:00+08:00
會議名稱 立法院第11屆第3會期財政委員會第4次全體委員會議(事由:一、邀請行政院主計總處陳主計長淑姿、審計部陳審計長瑞敏率所屬單位主管列席業務報告,並備質詢。 二、審查本院委員王鴻薇等26人、委員林德福等20人、委員賴士葆等20人分別擬具「預算法增訂第八十一條之一條文草案」等3案。 【3月24日及26日二天一次會】)
委員名稱 完整會議
委員發言時間 08:30:36 - 13:21:00
transcript.pyannote[0].speaker SPEAKER_04
transcript.pyannote[0].start 1901.45534375
transcript.pyannote[0].end 1903.31159375
transcript.pyannote[1].speaker SPEAKER_04
transcript.pyannote[1].start 1903.96971875
transcript.pyannote[1].end 1905.04971875
transcript.pyannote[2].speaker SPEAKER_02
transcript.pyannote[2].start 1905.65721875
transcript.pyannote[2].end 1908.76221875
transcript.pyannote[3].speaker SPEAKER_04
transcript.pyannote[3].start 1909.06596875
transcript.pyannote[3].end 1913.26784375
transcript.pyannote[4].speaker SPEAKER_04
transcript.pyannote[4].start 1914.01034375
transcript.pyannote[4].end 1915.09034375
transcript.pyannote[5].speaker SPEAKER_21
transcript.pyannote[5].start 1916.13659375
transcript.pyannote[5].end 1928.69159375
transcript.pyannote[6].speaker SPEAKER_21
transcript.pyannote[6].start 1928.87721875
transcript.pyannote[6].end 1930.34534375
transcript.pyannote[7].speaker SPEAKER_21
transcript.pyannote[7].start 1930.42971875
transcript.pyannote[7].end 1932.69096875
transcript.pyannote[8].speaker SPEAKER_21
transcript.pyannote[8].start 1932.91034375
transcript.pyannote[8].end 1935.20534375
transcript.pyannote[9].speaker SPEAKER_21
transcript.pyannote[9].start 1935.40784375
transcript.pyannote[9].end 1939.71096875
transcript.pyannote[10].speaker SPEAKER_21
transcript.pyannote[10].start 1939.96409375
transcript.pyannote[10].end 1940.41971875
transcript.pyannote[11].speaker SPEAKER_21
transcript.pyannote[11].start 1940.62221875
transcript.pyannote[11].end 1949.53221875
transcript.pyannote[12].speaker SPEAKER_21
transcript.pyannote[12].start 1949.86971875
transcript.pyannote[12].end 1951.00034375
transcript.pyannote[13].speaker SPEAKER_21
transcript.pyannote[13].start 1951.21971875
transcript.pyannote[13].end 1955.10096875
transcript.pyannote[14].speaker SPEAKER_21
transcript.pyannote[14].start 1955.59034375
transcript.pyannote[14].end 1959.21846875
transcript.pyannote[15].speaker SPEAKER_21
transcript.pyannote[15].start 1959.67409375
transcript.pyannote[15].end 1961.74971875
transcript.pyannote[16].speaker SPEAKER_21
transcript.pyannote[16].start 1961.95221875
transcript.pyannote[16].end 1971.28409375
transcript.pyannote[17].speaker SPEAKER_21
transcript.pyannote[17].start 1971.65534375
transcript.pyannote[17].end 1972.95471875
transcript.pyannote[18].speaker SPEAKER_21
transcript.pyannote[18].start 1973.19096875
transcript.pyannote[18].end 1978.65846875
transcript.pyannote[19].speaker SPEAKER_21
transcript.pyannote[19].start 1978.92846875
transcript.pyannote[19].end 1982.69159375
transcript.pyannote[20].speaker SPEAKER_21
transcript.pyannote[20].start 1983.07971875
transcript.pyannote[20].end 1983.53534375
transcript.pyannote[21].speaker SPEAKER_21
transcript.pyannote[21].start 1984.63221875
transcript.pyannote[21].end 1991.90534375
transcript.pyannote[22].speaker SPEAKER_21
transcript.pyannote[22].start 1992.37784375
transcript.pyannote[22].end 1999.21221875
transcript.pyannote[23].speaker SPEAKER_21
transcript.pyannote[23].start 2002.89096875
transcript.pyannote[23].end 2004.52784375
transcript.pyannote[24].speaker SPEAKER_21
transcript.pyannote[24].start 2004.81471875
transcript.pyannote[24].end 2013.45471875
transcript.pyannote[25].speaker SPEAKER_21
transcript.pyannote[25].start 2013.97784375
transcript.pyannote[25].end 2020.47471875
transcript.pyannote[26].speaker SPEAKER_21
transcript.pyannote[26].start 2020.77846875
transcript.pyannote[26].end 2021.84159375
transcript.pyannote[27].speaker SPEAKER_21
transcript.pyannote[27].start 2022.06096875
transcript.pyannote[27].end 2029.30034375
transcript.pyannote[28].speaker SPEAKER_21
transcript.pyannote[28].start 2029.60409375
transcript.pyannote[28].end 2038.61534375
transcript.pyannote[29].speaker SPEAKER_21
transcript.pyannote[29].start 2038.93596875
transcript.pyannote[29].end 2051.22096875
transcript.pyannote[30].speaker SPEAKER_04
transcript.pyannote[30].start 2056.46909375
transcript.pyannote[30].end 2059.40534375
transcript.pyannote[31].speaker SPEAKER_04
transcript.pyannote[31].start 2060.18159375
transcript.pyannote[31].end 2062.00409375
transcript.pyannote[32].speaker SPEAKER_04
transcript.pyannote[32].start 2062.57784375
transcript.pyannote[32].end 2065.00784375
transcript.pyannote[33].speaker SPEAKER_21
transcript.pyannote[33].start 2066.39159375
transcript.pyannote[33].end 2086.40534375
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 2087.56971875
transcript.pyannote[34].end 2088.71721875
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 2089.39221875
transcript.pyannote[35].end 2091.29909375
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 2091.78846875
transcript.pyannote[36].end 2102.48721875
transcript.pyannote[37].speaker SPEAKER_01
transcript.pyannote[37].start 2103.06096875
transcript.pyannote[37].end 2107.38096875
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 2107.63409375
transcript.pyannote[38].end 2118.33284375
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 2118.60284375
transcript.pyannote[39].end 2119.59846875
transcript.pyannote[40].speaker SPEAKER_01
transcript.pyannote[40].start 2120.49284375
transcript.pyannote[40].end 2124.13784375
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 2124.49221875
transcript.pyannote[41].end 2126.71971875
transcript.pyannote[42].speaker SPEAKER_01
transcript.pyannote[42].start 2127.36096875
transcript.pyannote[42].end 2130.70221875
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 2130.87096875
transcript.pyannote[43].end 2133.04784375
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 2133.36846875
transcript.pyannote[44].end 2134.80284375
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 2135.39346875
transcript.pyannote[45].end 2137.31721875
transcript.pyannote[46].speaker SPEAKER_01
transcript.pyannote[46].start 2137.46909375
transcript.pyannote[46].end 2141.83971875
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 2141.92409375
transcript.pyannote[47].end 2143.02096875
transcript.pyannote[48].speaker SPEAKER_01
transcript.pyannote[48].start 2143.37534375
transcript.pyannote[48].end 2145.14721875
transcript.pyannote[49].speaker SPEAKER_01
transcript.pyannote[49].start 2145.23159375
transcript.pyannote[49].end 2146.71659375
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 2147.02034375
transcript.pyannote[50].end 2148.03284375
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 2152.03221875
transcript.pyannote[51].end 2152.04909375
transcript.pyannote[52].speaker SPEAKER_04
transcript.pyannote[52].start 2152.04909375
transcript.pyannote[52].end 2154.88409375
transcript.pyannote[53].speaker SPEAKER_04
transcript.pyannote[53].start 2155.49159375
transcript.pyannote[53].end 2159.25471875
transcript.pyannote[54].speaker SPEAKER_04
transcript.pyannote[54].start 2159.62596875
transcript.pyannote[54].end 2160.25034375
transcript.pyannote[55].speaker SPEAKER_04
transcript.pyannote[55].start 2160.87471875
transcript.pyannote[55].end 2163.59159375
transcript.pyannote[56].speaker SPEAKER_04
transcript.pyannote[56].start 2164.95846875
transcript.pyannote[56].end 2167.47284375
transcript.pyannote[57].speaker SPEAKER_04
transcript.pyannote[57].start 2167.79346875
transcript.pyannote[57].end 2180.44971875
transcript.pyannote[58].speaker SPEAKER_04
transcript.pyannote[58].start 2180.80409375
transcript.pyannote[58].end 2183.35221875
transcript.pyannote[59].speaker SPEAKER_04
transcript.pyannote[59].start 2183.75721875
transcript.pyannote[59].end 2195.72159375
transcript.pyannote[60].speaker SPEAKER_04
transcript.pyannote[60].start 2195.90721875
transcript.pyannote[60].end 2214.85784375
transcript.pyannote[61].speaker SPEAKER_04
transcript.pyannote[61].start 2215.38096875
transcript.pyannote[61].end 2216.62971875
transcript.pyannote[62].speaker SPEAKER_04
transcript.pyannote[62].start 2218.06409375
transcript.pyannote[62].end 2219.49846875
transcript.pyannote[63].speaker SPEAKER_04
transcript.pyannote[63].start 2220.34221875
transcript.pyannote[63].end 2223.17721875
transcript.pyannote[64].speaker SPEAKER_04
transcript.pyannote[64].start 2223.39659375
transcript.pyannote[64].end 2234.71971875
transcript.pyannote[65].speaker SPEAKER_04
transcript.pyannote[65].start 2235.34409375
transcript.pyannote[65].end 2237.38596875
transcript.pyannote[66].speaker SPEAKER_04
transcript.pyannote[66].start 2237.74034375
transcript.pyannote[66].end 2238.93846875
transcript.pyannote[67].speaker SPEAKER_04
transcript.pyannote[67].start 2240.05221875
transcript.pyannote[67].end 2241.03096875
transcript.pyannote[68].speaker SPEAKER_04
transcript.pyannote[68].start 2241.25034375
transcript.pyannote[68].end 2243.76471875
transcript.pyannote[69].speaker SPEAKER_04
transcript.pyannote[69].start 2244.74346875
transcript.pyannote[69].end 2247.29159375
transcript.pyannote[70].speaker SPEAKER_04
transcript.pyannote[70].start 2247.93284375
transcript.pyannote[70].end 2249.41784375
transcript.pyannote[71].speaker SPEAKER_04
transcript.pyannote[71].start 2249.72159375
transcript.pyannote[71].end 2252.05034375
transcript.pyannote[72].speaker SPEAKER_04
transcript.pyannote[72].start 2252.79284375
transcript.pyannote[72].end 2255.03721875
transcript.pyannote[73].speaker SPEAKER_04
transcript.pyannote[73].start 2255.44221875
transcript.pyannote[73].end 2257.68659375
transcript.pyannote[74].speaker SPEAKER_04
transcript.pyannote[74].start 2258.32784375
transcript.pyannote[74].end 2259.12096875
transcript.pyannote[75].speaker SPEAKER_04
transcript.pyannote[75].start 2259.89721875
transcript.pyannote[75].end 2260.80846875
transcript.pyannote[76].speaker SPEAKER_04
transcript.pyannote[76].start 2261.14596875
transcript.pyannote[76].end 2263.86284375
transcript.pyannote[77].speaker SPEAKER_04
transcript.pyannote[77].start 2264.23409375
transcript.pyannote[77].end 2265.31409375
transcript.pyannote[78].speaker SPEAKER_04
transcript.pyannote[78].start 2265.60096875
transcript.pyannote[78].end 2266.44471875
transcript.pyannote[79].speaker SPEAKER_04
transcript.pyannote[79].start 2267.47409375
transcript.pyannote[79].end 2269.17846875
transcript.pyannote[80].speaker SPEAKER_04
transcript.pyannote[80].start 2269.63409375
transcript.pyannote[80].end 2270.57909375
transcript.pyannote[81].speaker SPEAKER_04
transcript.pyannote[81].start 2271.30471875
transcript.pyannote[81].end 2273.02596875
transcript.pyannote[82].speaker SPEAKER_04
transcript.pyannote[82].start 2273.14409375
transcript.pyannote[82].end 2273.68409375
transcript.pyannote[83].speaker SPEAKER_04
transcript.pyannote[83].start 2273.71784375
transcript.pyannote[83].end 2274.42659375
transcript.pyannote[84].speaker SPEAKER_04
transcript.pyannote[84].start 2274.66284375
transcript.pyannote[84].end 2275.62471875
transcript.pyannote[85].speaker SPEAKER_04
transcript.pyannote[85].start 2275.99596875
transcript.pyannote[85].end 2277.02534375
transcript.pyannote[86].speaker SPEAKER_04
transcript.pyannote[86].start 2277.98721875
transcript.pyannote[86].end 2281.27784375
transcript.pyannote[87].speaker SPEAKER_04
transcript.pyannote[87].start 2282.05409375
transcript.pyannote[87].end 2282.69534375
transcript.pyannote[88].speaker SPEAKER_04
transcript.pyannote[88].start 2283.31971875
transcript.pyannote[88].end 2286.27284375
transcript.pyannote[89].speaker SPEAKER_04
transcript.pyannote[89].start 2287.35284375
transcript.pyannote[89].end 2288.97284375
transcript.pyannote[90].speaker SPEAKER_04
transcript.pyannote[90].start 2289.34409375
transcript.pyannote[90].end 2290.25534375
transcript.pyannote[91].speaker SPEAKER_04
transcript.pyannote[91].start 2290.57596875
transcript.pyannote[91].end 2292.80346875
transcript.pyannote[92].speaker SPEAKER_04
transcript.pyannote[92].start 2293.46159375
transcript.pyannote[92].end 2294.22096875
transcript.pyannote[93].speaker SPEAKER_04
transcript.pyannote[93].start 2294.47409375
transcript.pyannote[93].end 2297.73096875
transcript.pyannote[94].speaker SPEAKER_04
transcript.pyannote[94].start 2298.16971875
transcript.pyannote[94].end 2300.41409375
transcript.pyannote[95].speaker SPEAKER_04
transcript.pyannote[95].start 2300.80221875
transcript.pyannote[95].end 2301.19034375
transcript.pyannote[96].speaker SPEAKER_04
transcript.pyannote[96].start 2301.35909375
transcript.pyannote[96].end 2302.57409375
transcript.pyannote[97].speaker SPEAKER_04
transcript.pyannote[97].start 2303.02971875
transcript.pyannote[97].end 2304.48096875
transcript.pyannote[98].speaker SPEAKER_04
transcript.pyannote[98].start 2304.78471875
transcript.pyannote[98].end 2305.39221875
transcript.pyannote[99].speaker SPEAKER_04
transcript.pyannote[99].start 2305.93221875
transcript.pyannote[99].end 2308.68284375
transcript.pyannote[100].speaker SPEAKER_04
transcript.pyannote[100].start 2308.88534375
transcript.pyannote[100].end 2311.06221875
transcript.pyannote[101].speaker SPEAKER_04
transcript.pyannote[101].start 2311.43346875
transcript.pyannote[101].end 2314.26846875
transcript.pyannote[102].speaker SPEAKER_04
transcript.pyannote[102].start 2315.02784375
transcript.pyannote[102].end 2319.85409375
transcript.pyannote[103].speaker SPEAKER_04
transcript.pyannote[103].start 2320.47846875
transcript.pyannote[103].end 2325.49034375
transcript.pyannote[104].speaker SPEAKER_04
transcript.pyannote[104].start 2325.79409375
transcript.pyannote[104].end 2328.59534375
transcript.pyannote[105].speaker SPEAKER_04
transcript.pyannote[105].start 2329.47284375
transcript.pyannote[105].end 2332.15596875
transcript.pyannote[106].speaker SPEAKER_04
transcript.pyannote[106].start 2332.57784375
transcript.pyannote[106].end 2336.98221875
transcript.pyannote[107].speaker SPEAKER_04
transcript.pyannote[107].start 2337.25221875
transcript.pyannote[107].end 2338.26471875
transcript.pyannote[108].speaker SPEAKER_04
transcript.pyannote[108].start 2338.93971875
transcript.pyannote[108].end 2339.93534375
transcript.pyannote[109].speaker SPEAKER_04
transcript.pyannote[109].start 2340.52596875
transcript.pyannote[109].end 2342.48346875
transcript.pyannote[110].speaker SPEAKER_04
transcript.pyannote[110].start 2342.82096875
transcript.pyannote[110].end 2349.97596875
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 2349.97596875
transcript.pyannote[111].end 2349.99284375
transcript.pyannote[112].speaker SPEAKER_01
transcript.pyannote[112].start 2351.03909375
transcript.pyannote[112].end 2354.53221875
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 2355.64596875
transcript.pyannote[113].end 2356.01721875
transcript.pyannote[114].speaker SPEAKER_04
transcript.pyannote[114].start 2361.94034375
transcript.pyannote[114].end 2364.03284375
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 2364.03284375
transcript.pyannote[115].end 2364.40409375
transcript.pyannote[116].speaker SPEAKER_04
transcript.pyannote[116].start 2364.72471875
transcript.pyannote[116].end 2364.75846875
transcript.pyannote[117].speaker SPEAKER_01
transcript.pyannote[117].start 2364.75846875
transcript.pyannote[117].end 2365.55159375
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 2368.13346875
transcript.pyannote[118].end 2369.41596875
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 2369.66909375
transcript.pyannote[119].end 2408.04284375
transcript.pyannote[120].speaker SPEAKER_01
transcript.pyannote[120].start 2408.31284375
transcript.pyannote[120].end 2410.79346875
transcript.pyannote[121].speaker SPEAKER_01
transcript.pyannote[121].start 2411.18159375
transcript.pyannote[121].end 2415.11346875
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 2415.36659375
transcript.pyannote[122].end 2416.34534375
transcript.pyannote[123].speaker SPEAKER_01
transcript.pyannote[123].start 2416.71659375
transcript.pyannote[123].end 2418.20159375
transcript.pyannote[124].speaker SPEAKER_01
transcript.pyannote[124].start 2418.28596875
transcript.pyannote[124].end 2421.44159375
transcript.pyannote[125].speaker SPEAKER_01
transcript.pyannote[125].start 2422.01534375
transcript.pyannote[125].end 2424.37784375
transcript.pyannote[126].speaker SPEAKER_01
transcript.pyannote[126].start 2425.55909375
transcript.pyannote[126].end 2429.65971875
transcript.pyannote[127].speaker SPEAKER_01
transcript.pyannote[127].start 2429.76096875
transcript.pyannote[127].end 2436.49409375
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 2437.25346875
transcript.pyannote[128].end 2440.24034375
transcript.pyannote[129].speaker SPEAKER_01
transcript.pyannote[129].start 2440.49346875
transcript.pyannote[129].end 2450.60159375
transcript.pyannote[130].speaker SPEAKER_01
transcript.pyannote[130].start 2451.42846875
transcript.pyannote[130].end 2452.71096875
transcript.pyannote[131].speaker SPEAKER_01
transcript.pyannote[131].start 2453.95971875
transcript.pyannote[131].end 2458.95471875
transcript.pyannote[132].speaker SPEAKER_01
transcript.pyannote[132].start 2459.24159375
transcript.pyannote[132].end 2460.77721875
transcript.pyannote[133].speaker SPEAKER_01
transcript.pyannote[133].start 2461.14846875
transcript.pyannote[133].end 2471.69534375
transcript.pyannote[134].speaker SPEAKER_04
transcript.pyannote[134].start 2475.52596875
transcript.pyannote[134].end 2475.55971875
transcript.pyannote[135].speaker SPEAKER_01
transcript.pyannote[135].start 2475.55971875
transcript.pyannote[135].end 2475.96471875
transcript.pyannote[136].speaker SPEAKER_04
transcript.pyannote[136].start 2475.96471875
transcript.pyannote[136].end 2481.75284375
transcript.pyannote[137].speaker SPEAKER_04
transcript.pyannote[137].start 2481.93846875
transcript.pyannote[137].end 2483.45721875
transcript.pyannote[138].speaker SPEAKER_04
transcript.pyannote[138].start 2483.50784375
transcript.pyannote[138].end 2483.81159375
transcript.pyannote[139].speaker SPEAKER_03
transcript.pyannote[139].start 2491.40534375
transcript.pyannote[139].end 2539.93784375
transcript.pyannote[140].speaker SPEAKER_03
transcript.pyannote[140].start 2540.19096875
transcript.pyannote[140].end 2541.16971875
transcript.pyannote[141].speaker SPEAKER_03
transcript.pyannote[141].start 2541.49034375
transcript.pyannote[141].end 2563.47846875
transcript.pyannote[142].speaker SPEAKER_03
transcript.pyannote[142].start 2563.74846875
transcript.pyannote[142].end 2568.91221875
transcript.pyannote[143].speaker SPEAKER_03
transcript.pyannote[143].start 2569.13159375
transcript.pyannote[143].end 2584.43721875
transcript.pyannote[144].speaker SPEAKER_03
transcript.pyannote[144].start 2584.82534375
transcript.pyannote[144].end 2586.66471875
transcript.pyannote[145].speaker SPEAKER_03
transcript.pyannote[145].start 2586.74909375
transcript.pyannote[145].end 2587.89659375
transcript.pyannote[146].speaker SPEAKER_03
transcript.pyannote[146].start 2588.14971875
transcript.pyannote[146].end 2590.91721875
transcript.pyannote[147].speaker SPEAKER_03
transcript.pyannote[147].start 2591.20409375
transcript.pyannote[147].end 2592.58784375
transcript.pyannote[148].speaker SPEAKER_03
transcript.pyannote[148].start 2592.73971875
transcript.pyannote[148].end 2593.33034375
transcript.pyannote[149].speaker SPEAKER_03
transcript.pyannote[149].start 2593.68471875
transcript.pyannote[149].end 2601.36284375
transcript.pyannote[150].speaker SPEAKER_03
transcript.pyannote[150].start 2601.75096875
transcript.pyannote[150].end 2603.23596875
transcript.pyannote[151].speaker SPEAKER_03
transcript.pyannote[151].start 2603.45534375
transcript.pyannote[151].end 2619.46971875
transcript.pyannote[152].speaker SPEAKER_03
transcript.pyannote[152].start 2619.77346875
transcript.pyannote[152].end 2633.52659375
transcript.pyannote[153].speaker SPEAKER_03
transcript.pyannote[153].start 2633.64471875
transcript.pyannote[153].end 2669.33534375
transcript.pyannote[154].speaker SPEAKER_03
transcript.pyannote[154].start 2670.02721875
transcript.pyannote[154].end 2687.61096875
transcript.pyannote[155].speaker SPEAKER_04
transcript.pyannote[155].start 2688.92721875
transcript.pyannote[155].end 2692.03221875
transcript.pyannote[156].speaker SPEAKER_04
transcript.pyannote[156].start 2692.48784375
transcript.pyannote[156].end 2695.42409375
transcript.pyannote[157].speaker SPEAKER_04
transcript.pyannote[157].start 2695.57596875
transcript.pyannote[157].end 2702.19096875
transcript.pyannote[158].speaker SPEAKER_04
transcript.pyannote[158].start 2702.46096875
transcript.pyannote[158].end 2707.50659375
transcript.pyannote[159].speaker SPEAKER_04
transcript.pyannote[159].start 2708.18159375
transcript.pyannote[159].end 2712.82221875
transcript.pyannote[160].speaker SPEAKER_04
transcript.pyannote[160].start 2713.39596875
transcript.pyannote[160].end 2724.09471875
transcript.pyannote[161].speaker SPEAKER_04
transcript.pyannote[161].start 2724.73596875
transcript.pyannote[161].end 2730.10221875
transcript.pyannote[162].speaker SPEAKER_04
transcript.pyannote[162].start 2730.27096875
transcript.pyannote[162].end 2731.50284375
transcript.pyannote[163].speaker SPEAKER_04
transcript.pyannote[163].start 2731.89096875
transcript.pyannote[163].end 2733.56159375
transcript.pyannote[164].speaker SPEAKER_25
transcript.pyannote[164].start 2742.13409375
transcript.pyannote[164].end 2775.14159375
transcript.pyannote[165].speaker SPEAKER_25
transcript.pyannote[165].start 2775.91784375
transcript.pyannote[165].end 2829.39471875
transcript.pyannote[166].speaker SPEAKER_25
transcript.pyannote[166].start 2830.35659375
transcript.pyannote[166].end 2897.06346875
transcript.pyannote[167].speaker SPEAKER_25
transcript.pyannote[167].start 2897.13096875
transcript.pyannote[167].end 2995.49534375
transcript.pyannote[168].speaker SPEAKER_25
transcript.pyannote[168].start 2995.74846875
transcript.pyannote[168].end 3024.33471875
transcript.pyannote[169].speaker SPEAKER_25
transcript.pyannote[169].start 3025.54971875
transcript.pyannote[169].end 3051.72284375
transcript.pyannote[170].speaker SPEAKER_25
transcript.pyannote[170].start 3052.16159375
transcript.pyannote[170].end 3079.43159375
transcript.pyannote[171].speaker SPEAKER_25
transcript.pyannote[171].start 3079.75221875
transcript.pyannote[171].end 3092.54346875
transcript.pyannote[172].speaker SPEAKER_25
transcript.pyannote[172].start 3092.56034375
transcript.pyannote[172].end 3109.70534375
transcript.pyannote[173].speaker SPEAKER_25
transcript.pyannote[173].start 3109.73909375
transcript.pyannote[173].end 3122.26034375
transcript.pyannote[174].speaker SPEAKER_25
transcript.pyannote[174].start 3123.07034375
transcript.pyannote[174].end 3125.48346875
transcript.pyannote[175].speaker SPEAKER_25
transcript.pyannote[175].start 3125.82096875
transcript.pyannote[175].end 3190.63784375
transcript.pyannote[176].speaker SPEAKER_25
transcript.pyannote[176].start 3191.76846875
transcript.pyannote[176].end 3225.60284375
transcript.pyannote[177].speaker SPEAKER_25
transcript.pyannote[177].start 3226.21034375
transcript.pyannote[177].end 3226.49721875
transcript.pyannote[178].speaker SPEAKER_25
transcript.pyannote[178].start 3228.23534375
transcript.pyannote[178].end 3232.42034375
transcript.pyannote[179].speaker SPEAKER_04
transcript.pyannote[179].start 3231.40784375
transcript.pyannote[179].end 3234.29346875
transcript.pyannote[180].speaker SPEAKER_25
transcript.pyannote[180].start 3234.29346875
transcript.pyannote[180].end 3234.90096875
transcript.pyannote[181].speaker SPEAKER_04
transcript.pyannote[181].start 3234.90096875
transcript.pyannote[181].end 3235.12034375
transcript.pyannote[182].speaker SPEAKER_25
transcript.pyannote[182].start 3235.12034375
transcript.pyannote[182].end 3235.13721875
transcript.pyannote[183].speaker SPEAKER_25
transcript.pyannote[183].start 3235.72784375
transcript.pyannote[183].end 3236.70659375
transcript.pyannote[184].speaker SPEAKER_25
transcript.pyannote[184].start 3237.38159375
transcript.pyannote[184].end 3251.86034375
transcript.pyannote[185].speaker SPEAKER_25
transcript.pyannote[185].start 3252.19784375
transcript.pyannote[185].end 3253.05846875
transcript.pyannote[186].speaker SPEAKER_25
transcript.pyannote[186].start 3254.05409375
transcript.pyannote[186].end 3271.75596875
transcript.pyannote[187].speaker SPEAKER_25
transcript.pyannote[187].start 3272.39721875
transcript.pyannote[187].end 3307.96971875
transcript.pyannote[188].speaker SPEAKER_25
transcript.pyannote[188].start 3308.12159375
transcript.pyannote[188].end 3331.84784375
transcript.pyannote[189].speaker SPEAKER_25
transcript.pyannote[189].start 3332.08409375
transcript.pyannote[189].end 3364.80471875
transcript.pyannote[190].speaker SPEAKER_25
transcript.pyannote[190].start 3365.27721875
transcript.pyannote[190].end 3366.17159375
transcript.pyannote[191].speaker SPEAKER_25
transcript.pyannote[191].start 3366.82971875
transcript.pyannote[191].end 3367.89284375
transcript.pyannote[192].speaker SPEAKER_25
transcript.pyannote[192].start 3368.31471875
transcript.pyannote[192].end 3393.40784375
transcript.pyannote[193].speaker SPEAKER_25
transcript.pyannote[193].start 3393.64409375
transcript.pyannote[193].end 3394.89284375
transcript.pyannote[194].speaker SPEAKER_25
transcript.pyannote[194].start 3395.83784375
transcript.pyannote[194].end 3400.84971875
transcript.pyannote[195].speaker SPEAKER_25
transcript.pyannote[195].start 3401.20409375
transcript.pyannote[195].end 3413.21909375
transcript.pyannote[196].speaker SPEAKER_25
transcript.pyannote[196].start 3414.65346875
transcript.pyannote[196].end 3459.91221875
transcript.pyannote[197].speaker SPEAKER_25
transcript.pyannote[197].start 3462.42659375
transcript.pyannote[197].end 3463.06784375
transcript.pyannote[198].speaker SPEAKER_25
transcript.pyannote[198].start 3463.52346875
transcript.pyannote[198].end 3508.56284375
transcript.pyannote[199].speaker SPEAKER_25
transcript.pyannote[199].start 3509.42346875
transcript.pyannote[199].end 3590.64284375
transcript.pyannote[200].speaker SPEAKER_25
transcript.pyannote[200].start 3591.11534375
transcript.pyannote[200].end 3600.04221875
transcript.pyannote[201].speaker SPEAKER_25
transcript.pyannote[201].start 3600.12659375
transcript.pyannote[201].end 3637.36971875
transcript.pyannote[202].speaker SPEAKER_25
transcript.pyannote[202].start 3637.72409375
transcript.pyannote[202].end 3647.00534375
transcript.pyannote[203].speaker SPEAKER_04
transcript.pyannote[203].start 3647.52846875
transcript.pyannote[203].end 3650.41409375
transcript.pyannote[204].speaker SPEAKER_04
transcript.pyannote[204].start 3651.07221875
transcript.pyannote[204].end 3652.32096875
transcript.pyannote[205].speaker SPEAKER_04
transcript.pyannote[205].start 3652.48971875
transcript.pyannote[205].end 3654.90284375
transcript.pyannote[206].speaker SPEAKER_04
transcript.pyannote[206].start 3660.96096875
transcript.pyannote[206].end 3661.90596875
transcript.pyannote[207].speaker SPEAKER_04
transcript.pyannote[207].start 3662.00721875
transcript.pyannote[207].end 3663.59346875
transcript.pyannote[208].speaker SPEAKER_22
transcript.pyannote[208].start 3666.96846875
transcript.pyannote[208].end 3667.62659375
transcript.pyannote[209].speaker SPEAKER_04
transcript.pyannote[209].start 3676.50284375
transcript.pyannote[209].end 3678.66284375
transcript.pyannote[210].speaker SPEAKER_14
transcript.pyannote[210].start 3679.08471875
transcript.pyannote[210].end 3679.18596875
transcript.pyannote[211].speaker SPEAKER_14
transcript.pyannote[211].start 3680.19846875
transcript.pyannote[211].end 3699.21659375
transcript.pyannote[212].speaker SPEAKER_14
transcript.pyannote[212].start 3699.68909375
transcript.pyannote[212].end 3703.26659375
transcript.pyannote[213].speaker SPEAKER_14
transcript.pyannote[213].start 3703.57034375
transcript.pyannote[213].end 3704.12721875
transcript.pyannote[214].speaker SPEAKER_14
transcript.pyannote[214].start 3704.48159375
transcript.pyannote[214].end 3707.41784375
transcript.pyannote[215].speaker SPEAKER_14
transcript.pyannote[215].start 3708.16034375
transcript.pyannote[215].end 3708.51471875
transcript.pyannote[216].speaker SPEAKER_14
transcript.pyannote[216].start 3708.70034375
transcript.pyannote[216].end 3715.11284375
transcript.pyannote[217].speaker SPEAKER_14
transcript.pyannote[217].start 3715.21409375
transcript.pyannote[217].end 3738.28221875
transcript.pyannote[218].speaker SPEAKER_14
transcript.pyannote[218].start 3738.83909375
transcript.pyannote[218].end 3763.00409375
transcript.pyannote[219].speaker SPEAKER_14
transcript.pyannote[219].start 3763.27409375
transcript.pyannote[219].end 3779.10284375
transcript.pyannote[220].speaker SPEAKER_14
transcript.pyannote[220].start 3779.64284375
transcript.pyannote[220].end 3786.17346875
transcript.pyannote[221].speaker SPEAKER_14
transcript.pyannote[221].start 3786.83159375
transcript.pyannote[221].end 3796.21409375
transcript.pyannote[222].speaker SPEAKER_14
transcript.pyannote[222].start 3796.58534375
transcript.pyannote[222].end 3811.41846875
transcript.pyannote[223].speaker SPEAKER_14
transcript.pyannote[223].start 3811.87409375
transcript.pyannote[223].end 3813.51096875
transcript.pyannote[224].speaker SPEAKER_14
transcript.pyannote[224].start 3813.66284375
transcript.pyannote[224].end 3815.41784375
transcript.pyannote[225].speaker SPEAKER_14
transcript.pyannote[225].start 3815.83971875
transcript.pyannote[225].end 3819.48471875
transcript.pyannote[226].speaker SPEAKER_14
transcript.pyannote[226].start 3820.66596875
transcript.pyannote[226].end 3821.39159375
transcript.pyannote[227].speaker SPEAKER_14
transcript.pyannote[227].start 3821.74596875
transcript.pyannote[227].end 3823.70346875
transcript.pyannote[228].speaker SPEAKER_14
transcript.pyannote[228].start 3823.90596875
transcript.pyannote[228].end 3828.09096875
transcript.pyannote[229].speaker SPEAKER_14
transcript.pyannote[229].start 3828.32721875
transcript.pyannote[229].end 3832.12409375
transcript.pyannote[230].speaker SPEAKER_14
transcript.pyannote[230].start 3832.25909375
transcript.pyannote[230].end 3835.02659375
transcript.pyannote[231].speaker SPEAKER_14
transcript.pyannote[231].start 3835.56659375
transcript.pyannote[231].end 3836.61284375
transcript.pyannote[232].speaker SPEAKER_14
transcript.pyannote[232].start 3837.16971875
transcript.pyannote[232].end 3844.71284375
transcript.pyannote[233].speaker SPEAKER_14
transcript.pyannote[233].start 3845.11784375
transcript.pyannote[233].end 3854.80409375
transcript.pyannote[234].speaker SPEAKER_14
transcript.pyannote[234].start 3855.27659375
transcript.pyannote[234].end 3859.73159375
transcript.pyannote[235].speaker SPEAKER_14
transcript.pyannote[235].start 3860.03534375
transcript.pyannote[235].end 3860.59221875
transcript.pyannote[236].speaker SPEAKER_14
transcript.pyannote[236].start 3861.14909375
transcript.pyannote[236].end 3861.50346875
transcript.pyannote[237].speaker SPEAKER_14
transcript.pyannote[237].start 3861.84096875
transcript.pyannote[237].end 3870.04221875
transcript.pyannote[238].speaker SPEAKER_14
transcript.pyannote[238].start 3870.48096875
transcript.pyannote[238].end 3880.20096875
transcript.pyannote[239].speaker SPEAKER_14
transcript.pyannote[239].start 3880.60596875
transcript.pyannote[239].end 3898.45971875
transcript.pyannote[240].speaker SPEAKER_14
transcript.pyannote[240].start 3898.54409375
transcript.pyannote[240].end 3901.00784375
transcript.pyannote[241].speaker SPEAKER_14
transcript.pyannote[241].start 3905.15909375
transcript.pyannote[241].end 3912.28034375
transcript.pyannote[242].speaker SPEAKER_14
transcript.pyannote[242].start 3912.70221875
transcript.pyannote[242].end 3913.74846875
transcript.pyannote[243].speaker SPEAKER_14
transcript.pyannote[243].start 3913.96784375
transcript.pyannote[243].end 3925.17284375
transcript.pyannote[244].speaker SPEAKER_14
transcript.pyannote[244].start 3925.51034375
transcript.pyannote[244].end 3926.89409375
transcript.pyannote[245].speaker SPEAKER_14
transcript.pyannote[245].start 3928.12596875
transcript.pyannote[245].end 3929.23971875
transcript.pyannote[246].speaker SPEAKER_14
transcript.pyannote[246].start 3929.45909375
transcript.pyannote[246].end 3933.03659375
transcript.pyannote[247].speaker SPEAKER_14
transcript.pyannote[247].start 3933.79596875
transcript.pyannote[247].end 3935.85471875
transcript.pyannote[248].speaker SPEAKER_14
transcript.pyannote[248].start 3936.17534375
transcript.pyannote[248].end 3943.44846875
transcript.pyannote[249].speaker SPEAKER_14
transcript.pyannote[249].start 3943.95471875
transcript.pyannote[249].end 3951.39659375
transcript.pyannote[250].speaker SPEAKER_14
transcript.pyannote[250].start 3951.78471875
transcript.pyannote[250].end 3959.54721875
transcript.pyannote[251].speaker SPEAKER_04
transcript.pyannote[251].start 3961.38659375
transcript.pyannote[251].end 3964.06971875
transcript.pyannote[252].speaker SPEAKER_04
transcript.pyannote[252].start 3964.50846875
transcript.pyannote[252].end 3974.02596875
transcript.pyannote[253].speaker SPEAKER_04
transcript.pyannote[253].start 3974.36346875
transcript.pyannote[253].end 3992.36909375
transcript.pyannote[254].speaker SPEAKER_04
transcript.pyannote[254].start 3992.94284375
transcript.pyannote[254].end 3997.48221875
transcript.pyannote[255].speaker SPEAKER_04
transcript.pyannote[255].start 3998.10659375
transcript.pyannote[255].end 4003.67534375
transcript.pyannote[256].speaker SPEAKER_04
transcript.pyannote[256].start 4004.08034375
transcript.pyannote[256].end 4005.21096875
transcript.pyannote[257].speaker SPEAKER_04
transcript.pyannote[257].start 4005.51471875
transcript.pyannote[257].end 4010.40846875
transcript.pyannote[258].speaker SPEAKER_04
transcript.pyannote[258].start 4010.93159375
transcript.pyannote[258].end 4014.81284375
transcript.pyannote[259].speaker SPEAKER_04
transcript.pyannote[259].start 4014.98159375
transcript.pyannote[259].end 4017.15846875
transcript.pyannote[260].speaker SPEAKER_04
transcript.pyannote[260].start 4017.39471875
transcript.pyannote[260].end 4018.12034375
transcript.pyannote[261].speaker SPEAKER_01
transcript.pyannote[261].start 4029.73034375
transcript.pyannote[261].end 4031.26596875
transcript.pyannote[262].speaker SPEAKER_01
transcript.pyannote[262].start 4031.72159375
transcript.pyannote[262].end 4033.37534375
transcript.pyannote[263].speaker SPEAKER_01
transcript.pyannote[263].start 4034.77596875
transcript.pyannote[263].end 4044.71534375
transcript.pyannote[264].speaker SPEAKER_04
transcript.pyannote[264].start 4038.08346875
transcript.pyannote[264].end 4040.09159375
transcript.pyannote[265].speaker SPEAKER_04
transcript.pyannote[265].start 4040.42909375
transcript.pyannote[265].end 4042.06596875
transcript.pyannote[266].speaker SPEAKER_04
transcript.pyannote[266].start 4042.36971875
transcript.pyannote[266].end 4044.56346875
transcript.pyannote[267].speaker SPEAKER_01
transcript.pyannote[267].start 4048.42784375
transcript.pyannote[267].end 4058.08034375
transcript.pyannote[268].speaker SPEAKER_00
transcript.pyannote[268].start 4051.26284375
transcript.pyannote[268].end 4051.65096875
transcript.pyannote[269].speaker SPEAKER_01
transcript.pyannote[269].start 4058.73846875
transcript.pyannote[269].end 4059.97034375
transcript.pyannote[270].speaker SPEAKER_01
transcript.pyannote[270].start 4060.37534375
transcript.pyannote[270].end 4061.50596875
transcript.pyannote[271].speaker SPEAKER_01
transcript.pyannote[271].start 4062.19784375
transcript.pyannote[271].end 4066.26471875
transcript.pyannote[272].speaker SPEAKER_01
transcript.pyannote[272].start 4066.39971875
transcript.pyannote[272].end 4069.18409375
transcript.pyannote[273].speaker SPEAKER_25
transcript.pyannote[273].start 4071.14159375
transcript.pyannote[273].end 4073.65596875
transcript.pyannote[274].speaker SPEAKER_01
transcript.pyannote[274].start 4073.43659375
transcript.pyannote[274].end 4087.07159375
transcript.pyannote[275].speaker SPEAKER_25
transcript.pyannote[275].start 4074.82034375
transcript.pyannote[275].end 4074.83721875
transcript.pyannote[276].speaker SPEAKER_01
transcript.pyannote[276].start 4087.52721875
transcript.pyannote[276].end 4103.47409375
transcript.pyannote[277].speaker SPEAKER_01
transcript.pyannote[277].start 4103.81159375
transcript.pyannote[277].end 4105.48221875
transcript.pyannote[278].speaker SPEAKER_25
transcript.pyannote[278].start 4106.51159375
transcript.pyannote[278].end 4107.42284375
transcript.pyannote[279].speaker SPEAKER_01
transcript.pyannote[279].start 4106.98409375
transcript.pyannote[279].end 4107.52409375
transcript.pyannote[280].speaker SPEAKER_25
transcript.pyannote[280].start 4107.77721875
transcript.pyannote[280].end 4148.39534375
transcript.pyannote[281].speaker SPEAKER_01
transcript.pyannote[281].start 4146.91034375
transcript.pyannote[281].end 4148.32784375
transcript.pyannote[282].speaker SPEAKER_01
transcript.pyannote[282].start 4148.81721875
transcript.pyannote[282].end 4151.39909375
transcript.pyannote[283].speaker SPEAKER_01
transcript.pyannote[283].start 4151.98971875
transcript.pyannote[283].end 4158.03096875
transcript.pyannote[284].speaker SPEAKER_25
transcript.pyannote[284].start 4158.41909375
transcript.pyannote[284].end 4163.93721875
transcript.pyannote[285].speaker SPEAKER_01
transcript.pyannote[285].start 4163.02596875
transcript.pyannote[285].end 4166.51909375
transcript.pyannote[286].speaker SPEAKER_25
transcript.pyannote[286].start 4165.74284375
transcript.pyannote[286].end 4177.69034375
transcript.pyannote[287].speaker SPEAKER_01
transcript.pyannote[287].start 4167.12659375
transcript.pyannote[287].end 4168.71284375
transcript.pyannote[288].speaker SPEAKER_01
transcript.pyannote[288].start 4171.59846875
transcript.pyannote[288].end 4173.58971875
transcript.pyannote[289].speaker SPEAKER_01
transcript.pyannote[289].start 4175.95221875
transcript.pyannote[289].end 4176.25596875
transcript.pyannote[290].speaker SPEAKER_01
transcript.pyannote[290].start 4177.30221875
transcript.pyannote[290].end 4178.56784375
transcript.pyannote[291].speaker SPEAKER_01
transcript.pyannote[291].start 4179.04034375
transcript.pyannote[291].end 4194.04221875
transcript.pyannote[292].speaker SPEAKER_01
transcript.pyannote[292].start 4194.97034375
transcript.pyannote[292].end 4199.83034375
transcript.pyannote[293].speaker SPEAKER_01
transcript.pyannote[293].start 4200.58971875
transcript.pyannote[293].end 4201.39971875
transcript.pyannote[294].speaker SPEAKER_01
transcript.pyannote[294].start 4202.07471875
transcript.pyannote[294].end 4204.16721875
transcript.pyannote[295].speaker SPEAKER_01
transcript.pyannote[295].start 4204.79159375
transcript.pyannote[295].end 4206.93471875
transcript.pyannote[296].speaker SPEAKER_01
transcript.pyannote[296].start 4207.30596875
transcript.pyannote[296].end 4208.35221875
transcript.pyannote[297].speaker SPEAKER_01
transcript.pyannote[297].start 4208.95971875
transcript.pyannote[297].end 4213.14471875
transcript.pyannote[298].speaker SPEAKER_01
transcript.pyannote[298].start 4213.58346875
transcript.pyannote[298].end 4217.85284375
transcript.pyannote[299].speaker SPEAKER_25
transcript.pyannote[299].start 4218.54471875
transcript.pyannote[299].end 4219.77659375
transcript.pyannote[300].speaker SPEAKER_01
transcript.pyannote[300].start 4219.87784375
transcript.pyannote[300].end 4223.40471875
transcript.pyannote[301].speaker SPEAKER_01
transcript.pyannote[301].start 4223.82659375
transcript.pyannote[301].end 4226.77971875
transcript.pyannote[302].speaker SPEAKER_01
transcript.pyannote[302].start 4227.75846875
transcript.pyannote[302].end 4228.85534375
transcript.pyannote[303].speaker SPEAKER_25
transcript.pyannote[303].start 4229.56409375
transcript.pyannote[303].end 4230.05346875
transcript.pyannote[304].speaker SPEAKER_01
transcript.pyannote[304].start 4230.27284375
transcript.pyannote[304].end 4238.50784375
transcript.pyannote[305].speaker SPEAKER_01
transcript.pyannote[305].start 4240.16159375
transcript.pyannote[305].end 4240.70159375
transcript.pyannote[306].speaker SPEAKER_25
transcript.pyannote[306].start 4241.05596875
transcript.pyannote[306].end 4243.40159375
transcript.pyannote[307].speaker SPEAKER_01
transcript.pyannote[307].start 4242.99659375
transcript.pyannote[307].end 4244.46471875
transcript.pyannote[308].speaker SPEAKER_25
transcript.pyannote[308].start 4243.65471875
transcript.pyannote[308].end 4245.40971875
transcript.pyannote[309].speaker SPEAKER_01
transcript.pyannote[309].start 4244.90346875
transcript.pyannote[309].end 4253.94846875
transcript.pyannote[310].speaker SPEAKER_25
transcript.pyannote[310].start 4245.44346875
transcript.pyannote[310].end 4245.49409375
transcript.pyannote[311].speaker SPEAKER_25
transcript.pyannote[311].start 4245.74721875
transcript.pyannote[311].end 4246.25346875
transcript.pyannote[312].speaker SPEAKER_25
transcript.pyannote[312].start 4248.29534375
transcript.pyannote[312].end 4248.41346875
transcript.pyannote[313].speaker SPEAKER_01
transcript.pyannote[313].start 4254.77534375
transcript.pyannote[313].end 4259.04471875
transcript.pyannote[314].speaker SPEAKER_25
transcript.pyannote[314].start 4259.56784375
transcript.pyannote[314].end 4290.12846875
transcript.pyannote[315].speaker SPEAKER_01
transcript.pyannote[315].start 4259.80409375
transcript.pyannote[315].end 4260.59721875
transcript.pyannote[316].speaker SPEAKER_01
transcript.pyannote[316].start 4284.79596875
transcript.pyannote[316].end 4285.55534375
transcript.pyannote[317].speaker SPEAKER_01
transcript.pyannote[317].start 4289.30159375
transcript.pyannote[317].end 4297.31721875
transcript.pyannote[318].speaker SPEAKER_01
transcript.pyannote[318].start 4298.05971875
transcript.pyannote[318].end 4322.86596875
transcript.pyannote[319].speaker SPEAKER_01
transcript.pyannote[319].start 4323.20346875
transcript.pyannote[319].end 4330.76346875
transcript.pyannote[320].speaker SPEAKER_01
transcript.pyannote[320].start 4331.40471875
transcript.pyannote[320].end 4332.99096875
transcript.pyannote[321].speaker SPEAKER_01
transcript.pyannote[321].start 4333.36221875
transcript.pyannote[321].end 4334.20596875
transcript.pyannote[322].speaker SPEAKER_01
transcript.pyannote[322].start 4334.61096875
transcript.pyannote[322].end 4337.02409375
transcript.pyannote[323].speaker SPEAKER_01
transcript.pyannote[323].start 4337.20971875
transcript.pyannote[323].end 4337.64846875
transcript.pyannote[324].speaker SPEAKER_01
transcript.pyannote[324].start 4338.07034375
transcript.pyannote[324].end 4355.58659375
transcript.pyannote[325].speaker SPEAKER_25
transcript.pyannote[325].start 4356.02534375
transcript.pyannote[325].end 4385.67471875
transcript.pyannote[326].speaker SPEAKER_01
transcript.pyannote[326].start 4384.59471875
transcript.pyannote[326].end 4385.48909375
transcript.pyannote[327].speaker SPEAKER_01
transcript.pyannote[327].start 4385.69159375
transcript.pyannote[327].end 4389.06659375
transcript.pyannote[328].speaker SPEAKER_01
transcript.pyannote[328].start 4389.77534375
transcript.pyannote[328].end 4406.97096875
transcript.pyannote[329].speaker SPEAKER_01
transcript.pyannote[329].start 4407.83159375
transcript.pyannote[329].end 4409.60346875
transcript.pyannote[330].speaker SPEAKER_01
transcript.pyannote[330].start 4410.05909375
transcript.pyannote[330].end 4415.83034375
transcript.pyannote[331].speaker SPEAKER_01
transcript.pyannote[331].start 4416.16784375
transcript.pyannote[331].end 4426.30971875
transcript.pyannote[332].speaker SPEAKER_01
transcript.pyannote[332].start 4426.37721875
transcript.pyannote[332].end 4427.50784375
transcript.pyannote[333].speaker SPEAKER_01
transcript.pyannote[333].start 4427.81159375
transcript.pyannote[333].end 4430.34284375
transcript.pyannote[334].speaker SPEAKER_25
transcript.pyannote[334].start 4427.86221875
transcript.pyannote[334].end 4428.43596875
transcript.pyannote[335].speaker SPEAKER_25
transcript.pyannote[335].start 4429.83659375
transcript.pyannote[335].end 4430.15721875
transcript.pyannote[336].speaker SPEAKER_25
transcript.pyannote[336].start 4430.34284375
transcript.pyannote[336].end 4430.35971875
transcript.pyannote[337].speaker SPEAKER_25
transcript.pyannote[337].start 4430.42721875
transcript.pyannote[337].end 4433.76846875
transcript.pyannote[338].speaker SPEAKER_25
transcript.pyannote[338].start 4434.19034375
transcript.pyannote[338].end 4442.27346875
transcript.pyannote[339].speaker SPEAKER_25
transcript.pyannote[339].start 4442.56034375
transcript.pyannote[339].end 4453.00596875
transcript.pyannote[340].speaker SPEAKER_01
transcript.pyannote[340].start 4450.74471875
transcript.pyannote[340].end 4456.48221875
transcript.pyannote[341].speaker SPEAKER_25
transcript.pyannote[341].start 4455.25034375
transcript.pyannote[341].end 4458.47346875
transcript.pyannote[342].speaker SPEAKER_01
transcript.pyannote[342].start 4457.08971875
transcript.pyannote[342].end 4462.00034375
transcript.pyannote[343].speaker SPEAKER_01
transcript.pyannote[343].start 4462.32096875
transcript.pyannote[343].end 4498.28159375
transcript.pyannote[344].speaker SPEAKER_00
transcript.pyannote[344].start 4480.05659375
transcript.pyannote[344].end 4480.14096875
transcript.pyannote[345].speaker SPEAKER_04
transcript.pyannote[345].start 4480.14096875
transcript.pyannote[345].end 4480.22534375
transcript.pyannote[346].speaker SPEAKER_00
transcript.pyannote[346].start 4480.22534375
transcript.pyannote[346].end 4480.25909375
transcript.pyannote[347].speaker SPEAKER_01
transcript.pyannote[347].start 4498.60221875
transcript.pyannote[347].end 4502.48346875
transcript.pyannote[348].speaker SPEAKER_01
transcript.pyannote[348].start 4502.95596875
transcript.pyannote[348].end 4504.22159375
transcript.pyannote[349].speaker SPEAKER_01
transcript.pyannote[349].start 4504.77846875
transcript.pyannote[349].end 4522.31159375
transcript.pyannote[350].speaker SPEAKER_01
transcript.pyannote[350].start 4523.25659375
transcript.pyannote[350].end 4533.63471875
transcript.pyannote[351].speaker SPEAKER_25
transcript.pyannote[351].start 4534.96784375
transcript.pyannote[351].end 4540.50284375
transcript.pyannote[352].speaker SPEAKER_01
transcript.pyannote[352].start 4539.30471875
transcript.pyannote[352].end 4539.96284375
transcript.pyannote[353].speaker SPEAKER_01
transcript.pyannote[353].start 4540.60409375
transcript.pyannote[353].end 4544.92409375
transcript.pyannote[354].speaker SPEAKER_01
transcript.pyannote[354].start 4545.27846875
transcript.pyannote[354].end 4547.35409375
transcript.pyannote[355].speaker SPEAKER_01
transcript.pyannote[355].start 4547.40471875
transcript.pyannote[355].end 4590.67221875
transcript.pyannote[356].speaker SPEAKER_01
transcript.pyannote[356].start 4591.38096875
transcript.pyannote[356].end 4591.90409375
transcript.pyannote[357].speaker SPEAKER_25
transcript.pyannote[357].start 4592.73096875
transcript.pyannote[357].end 4602.09659375
transcript.pyannote[358].speaker SPEAKER_01
transcript.pyannote[358].start 4601.64096875
transcript.pyannote[358].end 4602.21471875
transcript.pyannote[359].speaker SPEAKER_01
transcript.pyannote[359].start 4602.97409375
transcript.pyannote[359].end 4607.46284375
transcript.pyannote[360].speaker SPEAKER_25
transcript.pyannote[360].start 4607.07471875
transcript.pyannote[360].end 4622.48159375
transcript.pyannote[361].speaker SPEAKER_01
transcript.pyannote[361].start 4622.19471875
transcript.pyannote[361].end 4636.97721875
transcript.pyannote[362].speaker SPEAKER_25
transcript.pyannote[362].start 4637.55096875
transcript.pyannote[362].end 4651.69221875
transcript.pyannote[363].speaker SPEAKER_01
transcript.pyannote[363].start 4649.61659375
transcript.pyannote[363].end 4650.29159375
transcript.pyannote[364].speaker SPEAKER_01
transcript.pyannote[364].start 4651.69221875
transcript.pyannote[364].end 4653.22784375
transcript.pyannote[365].speaker SPEAKER_01
transcript.pyannote[365].start 4653.90284375
transcript.pyannote[365].end 4674.59159375
transcript.pyannote[366].speaker SPEAKER_01
transcript.pyannote[366].start 4674.69284375
transcript.pyannote[366].end 4676.70096875
transcript.pyannote[367].speaker SPEAKER_01
transcript.pyannote[367].start 4677.64596875
transcript.pyannote[367].end 4680.43034375
transcript.pyannote[368].speaker SPEAKER_01
transcript.pyannote[368].start 4680.70034375
transcript.pyannote[368].end 4682.26971875
transcript.pyannote[369].speaker SPEAKER_25
transcript.pyannote[369].start 4682.60721875
transcript.pyannote[369].end 4698.97596875
transcript.pyannote[370].speaker SPEAKER_01
transcript.pyannote[370].start 4683.68721875
transcript.pyannote[370].end 4683.97409375
transcript.pyannote[371].speaker SPEAKER_04
transcript.pyannote[371].start 4698.57096875
transcript.pyannote[371].end 4700.19096875
transcript.pyannote[372].speaker SPEAKER_04
transcript.pyannote[372].start 4700.25846875
transcript.pyannote[372].end 4702.03034375
transcript.pyannote[373].speaker SPEAKER_04
transcript.pyannote[373].start 4702.11471875
transcript.pyannote[373].end 4703.24534375
transcript.pyannote[374].speaker SPEAKER_07
transcript.pyannote[374].start 4712.71221875
transcript.pyannote[374].end 4717.75784375
transcript.pyannote[375].speaker SPEAKER_04
transcript.pyannote[375].start 4715.85096875
transcript.pyannote[375].end 4717.72409375
transcript.pyannote[376].speaker SPEAKER_07
transcript.pyannote[376].start 4727.46096875
transcript.pyannote[376].end 4728.33846875
transcript.pyannote[377].speaker SPEAKER_05
transcript.pyannote[377].start 4730.46471875
transcript.pyannote[377].end 4731.32534375
transcript.pyannote[378].speaker SPEAKER_07
transcript.pyannote[378].start 4731.91596875
transcript.pyannote[378].end 4734.80159375
transcript.pyannote[379].speaker SPEAKER_07
transcript.pyannote[379].start 4735.18971875
transcript.pyannote[379].end 4739.57721875
transcript.pyannote[380].speaker SPEAKER_07
transcript.pyannote[380].start 4740.82596875
transcript.pyannote[380].end 4741.97346875
transcript.pyannote[381].speaker SPEAKER_07
transcript.pyannote[381].start 4742.63159375
transcript.pyannote[381].end 4743.96471875
transcript.pyannote[382].speaker SPEAKER_07
transcript.pyannote[382].start 4744.69034375
transcript.pyannote[382].end 4746.91784375
transcript.pyannote[383].speaker SPEAKER_07
transcript.pyannote[383].start 4747.66034375
transcript.pyannote[383].end 4748.09909375
transcript.pyannote[384].speaker SPEAKER_07
transcript.pyannote[384].start 4748.65596875
transcript.pyannote[384].end 4752.08159375
transcript.pyannote[385].speaker SPEAKER_07
transcript.pyannote[385].start 4753.17846875
transcript.pyannote[385].end 4755.72659375
transcript.pyannote[386].speaker SPEAKER_07
transcript.pyannote[386].start 4756.48596875
transcript.pyannote[386].end 4757.58284375
transcript.pyannote[387].speaker SPEAKER_07
transcript.pyannote[387].start 4758.42659375
transcript.pyannote[387].end 4759.33784375
transcript.pyannote[388].speaker SPEAKER_07
transcript.pyannote[388].start 4759.75971875
transcript.pyannote[388].end 4761.21096875
transcript.pyannote[389].speaker SPEAKER_07
transcript.pyannote[389].start 4761.98721875
transcript.pyannote[389].end 4762.76346875
transcript.pyannote[390].speaker SPEAKER_07
transcript.pyannote[390].start 4763.64096875
transcript.pyannote[390].end 4765.26096875
transcript.pyannote[391].speaker SPEAKER_07
transcript.pyannote[391].start 4765.71659375
transcript.pyannote[391].end 4767.08346875
transcript.pyannote[392].speaker SPEAKER_07
transcript.pyannote[392].start 4767.94409375
transcript.pyannote[392].end 4771.92659375
transcript.pyannote[393].speaker SPEAKER_07
transcript.pyannote[393].start 4772.75346875
transcript.pyannote[393].end 4773.32721875
transcript.pyannote[394].speaker SPEAKER_07
transcript.pyannote[394].start 4773.39471875
transcript.pyannote[394].end 4774.72784375
transcript.pyannote[395].speaker SPEAKER_07
transcript.pyannote[395].start 4775.48721875
transcript.pyannote[395].end 4776.38159375
transcript.pyannote[396].speaker SPEAKER_07
transcript.pyannote[396].start 4777.37721875
transcript.pyannote[396].end 4781.83221875
transcript.pyannote[397].speaker SPEAKER_07
transcript.pyannote[397].start 4783.24971875
transcript.pyannote[397].end 4785.39284375
transcript.pyannote[398].speaker SPEAKER_07
transcript.pyannote[398].start 4786.97909375
transcript.pyannote[398].end 4790.55659375
transcript.pyannote[399].speaker SPEAKER_07
transcript.pyannote[399].start 4791.18096875
transcript.pyannote[399].end 4792.69971875
transcript.pyannote[400].speaker SPEAKER_07
transcript.pyannote[400].start 4793.84721875
transcript.pyannote[400].end 4798.04909375
transcript.pyannote[401].speaker SPEAKER_07
transcript.pyannote[401].start 4799.14596875
transcript.pyannote[401].end 4799.90534375
transcript.pyannote[402].speaker SPEAKER_07
transcript.pyannote[402].start 4800.44534375
transcript.pyannote[402].end 4801.44096875
transcript.pyannote[403].speaker SPEAKER_07
transcript.pyannote[403].start 4802.01471875
transcript.pyannote[403].end 4802.75721875
transcript.pyannote[404].speaker SPEAKER_07
transcript.pyannote[404].start 4803.26346875
transcript.pyannote[404].end 4811.31284375
transcript.pyannote[405].speaker SPEAKER_07
transcript.pyannote[405].start 4811.63346875
transcript.pyannote[405].end 4815.39659375
transcript.pyannote[406].speaker SPEAKER_07
transcript.pyannote[406].start 4815.70034375
transcript.pyannote[406].end 4817.80971875
transcript.pyannote[407].speaker SPEAKER_07
transcript.pyannote[407].start 4818.90659375
transcript.pyannote[407].end 4819.81784375
transcript.pyannote[408].speaker SPEAKER_07
transcript.pyannote[408].start 4820.52659375
transcript.pyannote[408].end 4822.31534375
transcript.pyannote[409].speaker SPEAKER_07
transcript.pyannote[409].start 4823.39534375
transcript.pyannote[409].end 4825.82534375
transcript.pyannote[410].speaker SPEAKER_07
transcript.pyannote[410].start 4825.94346875
transcript.pyannote[410].end 4828.10346875
transcript.pyannote[411].speaker SPEAKER_07
transcript.pyannote[411].start 4829.28471875
transcript.pyannote[411].end 4831.37721875
transcript.pyannote[412].speaker SPEAKER_07
transcript.pyannote[412].start 4831.96784375
transcript.pyannote[412].end 4835.00534375
transcript.pyannote[413].speaker SPEAKER_07
transcript.pyannote[413].start 4835.71409375
transcript.pyannote[413].end 4838.66721875
transcript.pyannote[414].speaker SPEAKER_07
transcript.pyannote[414].start 4839.64596875
transcript.pyannote[414].end 4840.05096875
transcript.pyannote[415].speaker SPEAKER_07
transcript.pyannote[415].start 4841.13096875
transcript.pyannote[415].end 4842.85221875
transcript.pyannote[416].speaker SPEAKER_07
transcript.pyannote[416].start 4843.35846875
transcript.pyannote[416].end 4848.64034375
transcript.pyannote[417].speaker SPEAKER_07
transcript.pyannote[417].start 4848.80909375
transcript.pyannote[417].end 4850.05784375
transcript.pyannote[418].speaker SPEAKER_07
transcript.pyannote[418].start 4850.36159375
transcript.pyannote[418].end 4852.01534375
transcript.pyannote[419].speaker SPEAKER_07
transcript.pyannote[419].start 4852.48784375
transcript.pyannote[419].end 4854.61409375
transcript.pyannote[420].speaker SPEAKER_07
transcript.pyannote[420].start 4856.03159375
transcript.pyannote[420].end 4856.77409375
transcript.pyannote[421].speaker SPEAKER_07
transcript.pyannote[421].start 4858.79909375
transcript.pyannote[421].end 4863.35534375
transcript.pyannote[422].speaker SPEAKER_07
transcript.pyannote[422].start 4864.19909375
transcript.pyannote[422].end 4865.44784375
transcript.pyannote[423].speaker SPEAKER_07
transcript.pyannote[423].start 4865.70096875
transcript.pyannote[423].end 4867.75971875
transcript.pyannote[424].speaker SPEAKER_07
transcript.pyannote[424].start 4868.85659375
transcript.pyannote[424].end 4870.07159375
transcript.pyannote[425].speaker SPEAKER_07
transcript.pyannote[425].start 4871.10096875
transcript.pyannote[425].end 4872.67034375
transcript.pyannote[426].speaker SPEAKER_07
transcript.pyannote[426].start 4874.17221875
transcript.pyannote[426].end 4874.77971875
transcript.pyannote[427].speaker SPEAKER_07
transcript.pyannote[427].start 4875.23534375
transcript.pyannote[427].end 4877.64846875
transcript.pyannote[428].speaker SPEAKER_05
transcript.pyannote[428].start 4878.32346875
transcript.pyannote[428].end 4880.19659375
transcript.pyannote[429].speaker SPEAKER_07
transcript.pyannote[429].start 4880.38221875
transcript.pyannote[429].end 4883.47034375
transcript.pyannote[430].speaker SPEAKER_05
transcript.pyannote[430].start 4883.47034375
transcript.pyannote[430].end 4887.23346875
transcript.pyannote[431].speaker SPEAKER_07
transcript.pyannote[431].start 4887.23346875
transcript.pyannote[431].end 4888.68471875
transcript.pyannote[432].speaker SPEAKER_05
transcript.pyannote[432].start 4888.68471875
transcript.pyannote[432].end 4889.30909375
transcript.pyannote[433].speaker SPEAKER_07
transcript.pyannote[433].start 4889.30909375
transcript.pyannote[433].end 4893.34221875
transcript.pyannote[434].speaker SPEAKER_07
transcript.pyannote[434].start 4894.10159375
transcript.pyannote[434].end 4896.78471875
transcript.pyannote[435].speaker SPEAKER_07
transcript.pyannote[435].start 4896.93659375
transcript.pyannote[435].end 4898.40471875
transcript.pyannote[436].speaker SPEAKER_18
transcript.pyannote[436].start 4898.72534375
transcript.pyannote[436].end 4899.01221875
transcript.pyannote[437].speaker SPEAKER_07
transcript.pyannote[437].start 4899.02909375
transcript.pyannote[437].end 4904.32784375
transcript.pyannote[438].speaker SPEAKER_07
transcript.pyannote[438].start 4905.07034375
transcript.pyannote[438].end 4906.03221875
transcript.pyannote[439].speaker SPEAKER_07
transcript.pyannote[439].start 4906.18409375
transcript.pyannote[439].end 4914.63846875
transcript.pyannote[440].speaker SPEAKER_05
transcript.pyannote[440].start 4914.90846875
transcript.pyannote[440].end 4917.37221875
transcript.pyannote[441].speaker SPEAKER_07
transcript.pyannote[441].start 4917.32159375
transcript.pyannote[441].end 4921.82721875
transcript.pyannote[442].speaker SPEAKER_07
transcript.pyannote[442].start 4923.00846875
transcript.pyannote[442].end 4925.96159375
transcript.pyannote[443].speaker SPEAKER_07
transcript.pyannote[443].start 4926.65346875
transcript.pyannote[443].end 4930.75409375
transcript.pyannote[444].speaker SPEAKER_07
transcript.pyannote[444].start 4931.19284375
transcript.pyannote[444].end 4933.18409375
transcript.pyannote[445].speaker SPEAKER_07
transcript.pyannote[445].start 4933.75784375
transcript.pyannote[445].end 4934.23034375
transcript.pyannote[446].speaker SPEAKER_07
transcript.pyannote[446].start 4935.14159375
transcript.pyannote[446].end 4938.24659375
transcript.pyannote[447].speaker SPEAKER_07
transcript.pyannote[447].start 4938.73596875
transcript.pyannote[447].end 4940.32221875
transcript.pyannote[448].speaker SPEAKER_07
transcript.pyannote[448].start 4940.89596875
transcript.pyannote[448].end 4941.50346875
transcript.pyannote[449].speaker SPEAKER_07
transcript.pyannote[449].start 4942.04346875
transcript.pyannote[449].end 4942.54971875
transcript.pyannote[450].speaker SPEAKER_07
transcript.pyannote[450].start 4942.80284375
transcript.pyannote[450].end 4944.18659375
transcript.pyannote[451].speaker SPEAKER_07
transcript.pyannote[451].start 4944.77721875
transcript.pyannote[451].end 4954.26096875
transcript.pyannote[452].speaker SPEAKER_07
transcript.pyannote[452].start 4954.95284375
transcript.pyannote[452].end 4956.23534375
transcript.pyannote[453].speaker SPEAKER_07
transcript.pyannote[453].start 4956.75846875
transcript.pyannote[453].end 4957.87221875
transcript.pyannote[454].speaker SPEAKER_07
transcript.pyannote[454].start 4959.05346875
transcript.pyannote[454].end 4960.23471875
transcript.pyannote[455].speaker SPEAKER_07
transcript.pyannote[455].start 4960.82534375
transcript.pyannote[455].end 4963.23846875
transcript.pyannote[456].speaker SPEAKER_07
transcript.pyannote[456].start 4963.84596875
transcript.pyannote[456].end 4965.38159375
transcript.pyannote[457].speaker SPEAKER_07
transcript.pyannote[457].start 4966.51221875
transcript.pyannote[457].end 4967.08596875
transcript.pyannote[458].speaker SPEAKER_07
transcript.pyannote[458].start 4967.72721875
transcript.pyannote[458].end 4974.02159375
transcript.pyannote[459].speaker SPEAKER_07
transcript.pyannote[459].start 4974.74721875
transcript.pyannote[459].end 4976.75534375
transcript.pyannote[460].speaker SPEAKER_07
transcript.pyannote[460].start 4977.36284375
transcript.pyannote[460].end 4980.11346875
transcript.pyannote[461].speaker SPEAKER_07
transcript.pyannote[461].start 4980.94034375
transcript.pyannote[461].end 4982.25659375
transcript.pyannote[462].speaker SPEAKER_07
transcript.pyannote[462].start 4982.83034375
transcript.pyannote[462].end 4986.54284375
transcript.pyannote[463].speaker SPEAKER_07
transcript.pyannote[463].start 4986.69471875
transcript.pyannote[463].end 4987.79159375
transcript.pyannote[464].speaker SPEAKER_07
transcript.pyannote[464].start 4988.63534375
transcript.pyannote[464].end 4991.60534375
transcript.pyannote[465].speaker SPEAKER_07
transcript.pyannote[465].start 4991.77409375
transcript.pyannote[465].end 4993.07346875
transcript.pyannote[466].speaker SPEAKER_05
transcript.pyannote[466].start 4994.59221875
transcript.pyannote[466].end 4994.98034375
transcript.pyannote[467].speaker SPEAKER_07
transcript.pyannote[467].start 4995.82409375
transcript.pyannote[467].end 4996.85346875
transcript.pyannote[468].speaker SPEAKER_05
transcript.pyannote[468].start 4997.14034375
transcript.pyannote[468].end 4997.76471875
transcript.pyannote[469].speaker SPEAKER_07
transcript.pyannote[469].start 4997.89971875
transcript.pyannote[469].end 5000.76846875
transcript.pyannote[470].speaker SPEAKER_07
transcript.pyannote[470].start 5001.39284375
transcript.pyannote[470].end 5002.57409375
transcript.pyannote[471].speaker SPEAKER_07
transcript.pyannote[471].start 5002.94534375
transcript.pyannote[471].end 5004.90284375
transcript.pyannote[472].speaker SPEAKER_07
transcript.pyannote[472].start 5006.38784375
transcript.pyannote[472].end 5006.97846875
transcript.pyannote[473].speaker SPEAKER_07
transcript.pyannote[473].start 5008.27784375
transcript.pyannote[473].end 5011.11284375
transcript.pyannote[474].speaker SPEAKER_07
transcript.pyannote[474].start 5011.88909375
transcript.pyannote[474].end 5013.94784375
transcript.pyannote[475].speaker SPEAKER_07
transcript.pyannote[475].start 5014.60596875
transcript.pyannote[475].end 5015.68596875
transcript.pyannote[476].speaker SPEAKER_07
transcript.pyannote[476].start 5016.46221875
transcript.pyannote[476].end 5018.38596875
transcript.pyannote[477].speaker SPEAKER_07
transcript.pyannote[477].start 5019.80346875
transcript.pyannote[477].end 5025.11909375
transcript.pyannote[478].speaker SPEAKER_07
transcript.pyannote[478].start 5026.03034375
transcript.pyannote[478].end 5027.09346875
transcript.pyannote[479].speaker SPEAKER_07
transcript.pyannote[479].start 5027.76846875
transcript.pyannote[479].end 5031.02534375
transcript.pyannote[480].speaker SPEAKER_07
transcript.pyannote[480].start 5031.49784375
transcript.pyannote[480].end 5032.93221875
transcript.pyannote[481].speaker SPEAKER_07
transcript.pyannote[481].start 5033.62409375
transcript.pyannote[481].end 5039.85096875
transcript.pyannote[482].speaker SPEAKER_07
transcript.pyannote[482].start 5040.96471875
transcript.pyannote[482].end 5044.22159375
transcript.pyannote[483].speaker SPEAKER_07
transcript.pyannote[483].start 5044.79534375
transcript.pyannote[483].end 5053.38471875
transcript.pyannote[484].speaker SPEAKER_07
transcript.pyannote[484].start 5053.87409375
transcript.pyannote[484].end 5054.56596875
transcript.pyannote[485].speaker SPEAKER_07
transcript.pyannote[485].start 5055.86534375
transcript.pyannote[485].end 5056.40534375
transcript.pyannote[486].speaker SPEAKER_07
transcript.pyannote[486].start 5057.58659375
transcript.pyannote[486].end 5060.10096875
transcript.pyannote[487].speaker SPEAKER_07
transcript.pyannote[487].start 5060.70846875
transcript.pyannote[487].end 5062.10909375
transcript.pyannote[488].speaker SPEAKER_07
transcript.pyannote[488].start 5062.59846875
transcript.pyannote[488].end 5066.74971875
transcript.pyannote[489].speaker SPEAKER_07
transcript.pyannote[489].start 5067.49221875
transcript.pyannote[489].end 5071.17096875
transcript.pyannote[490].speaker SPEAKER_07
transcript.pyannote[490].start 5071.76159375
transcript.pyannote[490].end 5074.96784375
transcript.pyannote[491].speaker SPEAKER_07
transcript.pyannote[491].start 5075.52471875
transcript.pyannote[491].end 5077.66784375
transcript.pyannote[492].speaker SPEAKER_07
transcript.pyannote[492].start 5078.37659375
transcript.pyannote[492].end 5080.11471875
transcript.pyannote[493].speaker SPEAKER_07
transcript.pyannote[493].start 5080.45221875
transcript.pyannote[493].end 5081.48159375
transcript.pyannote[494].speaker SPEAKER_07
transcript.pyannote[494].start 5081.83596875
transcript.pyannote[494].end 5083.72596875
transcript.pyannote[495].speaker SPEAKER_07
transcript.pyannote[495].start 5083.92846875
transcript.pyannote[495].end 5085.10971875
transcript.pyannote[496].speaker SPEAKER_07
transcript.pyannote[496].start 5085.51471875
transcript.pyannote[496].end 5086.79721875
transcript.pyannote[497].speaker SPEAKER_07
transcript.pyannote[497].start 5087.33721875
transcript.pyannote[497].end 5088.14721875
transcript.pyannote[498].speaker SPEAKER_07
transcript.pyannote[498].start 5088.87284375
transcript.pyannote[498].end 5091.94409375
transcript.pyannote[499].speaker SPEAKER_07
transcript.pyannote[499].start 5092.50096875
transcript.pyannote[499].end 5097.58034375
transcript.pyannote[500].speaker SPEAKER_07
transcript.pyannote[500].start 5097.91784375
transcript.pyannote[500].end 5100.44909375
transcript.pyannote[501].speaker SPEAKER_07
transcript.pyannote[501].start 5101.03971875
transcript.pyannote[501].end 5102.03534375
transcript.pyannote[502].speaker SPEAKER_07
transcript.pyannote[502].start 5102.60909375
transcript.pyannote[502].end 5104.02659375
transcript.pyannote[503].speaker SPEAKER_07
transcript.pyannote[503].start 5104.36409375
transcript.pyannote[503].end 5110.27034375
transcript.pyannote[504].speaker SPEAKER_07
transcript.pyannote[504].start 5110.60784375
transcript.pyannote[504].end 5112.83534375
transcript.pyannote[505].speaker SPEAKER_07
transcript.pyannote[505].start 5114.05034375
transcript.pyannote[505].end 5117.57721875
transcript.pyannote[506].speaker SPEAKER_07
transcript.pyannote[506].start 5118.23534375
transcript.pyannote[506].end 5121.08721875
transcript.pyannote[507].speaker SPEAKER_07
transcript.pyannote[507].start 5121.79596875
transcript.pyannote[507].end 5122.97721875
transcript.pyannote[508].speaker SPEAKER_07
transcript.pyannote[508].start 5124.12471875
transcript.pyannote[508].end 5125.84596875
transcript.pyannote[509].speaker SPEAKER_07
transcript.pyannote[509].start 5126.36909375
transcript.pyannote[509].end 5128.25909375
transcript.pyannote[510].speaker SPEAKER_07
transcript.pyannote[510].start 5128.64721875
transcript.pyannote[510].end 5129.98034375
transcript.pyannote[511].speaker SPEAKER_07
transcript.pyannote[511].start 5131.36409375
transcript.pyannote[511].end 5132.78159375
transcript.pyannote[512].speaker SPEAKER_07
transcript.pyannote[512].start 5133.25409375
transcript.pyannote[512].end 5134.13159375
transcript.pyannote[513].speaker SPEAKER_07
transcript.pyannote[513].start 5134.84034375
transcript.pyannote[513].end 5135.41409375
transcript.pyannote[514].speaker SPEAKER_07
transcript.pyannote[514].start 5135.70096875
transcript.pyannote[514].end 5137.27034375
transcript.pyannote[515].speaker SPEAKER_07
transcript.pyannote[515].start 5137.81034375
transcript.pyannote[515].end 5139.73409375
transcript.pyannote[516].speaker SPEAKER_07
transcript.pyannote[516].start 5140.25721875
transcript.pyannote[516].end 5144.29034375
transcript.pyannote[517].speaker SPEAKER_07
transcript.pyannote[517].start 5144.56034375
transcript.pyannote[517].end 5147.20971875
transcript.pyannote[518].speaker SPEAKER_07
transcript.pyannote[518].start 5147.61471875
transcript.pyannote[518].end 5148.74534375
transcript.pyannote[519].speaker SPEAKER_07
transcript.pyannote[519].start 5148.96471875
transcript.pyannote[519].end 5155.30971875
transcript.pyannote[520].speaker SPEAKER_07
transcript.pyannote[520].start 5156.81159375
transcript.pyannote[520].end 5160.01784375
transcript.pyannote[521].speaker SPEAKER_07
transcript.pyannote[521].start 5161.72221875
transcript.pyannote[521].end 5162.90346875
transcript.pyannote[522].speaker SPEAKER_07
transcript.pyannote[522].start 5163.20721875
transcript.pyannote[522].end 5165.28284375
transcript.pyannote[523].speaker SPEAKER_07
transcript.pyannote[523].start 5166.43034375
transcript.pyannote[523].end 5168.87721875
transcript.pyannote[524].speaker SPEAKER_07
transcript.pyannote[524].start 5169.61971875
transcript.pyannote[524].end 5170.14284375
transcript.pyannote[525].speaker SPEAKER_07
transcript.pyannote[525].start 5170.63221875
transcript.pyannote[525].end 5171.00346875
transcript.pyannote[526].speaker SPEAKER_07
transcript.pyannote[526].start 5171.37471875
transcript.pyannote[526].end 5172.18471875
transcript.pyannote[527].speaker SPEAKER_07
transcript.pyannote[527].start 5173.12971875
transcript.pyannote[527].end 5176.38659375
transcript.pyannote[528].speaker SPEAKER_07
transcript.pyannote[528].start 5177.98971875
transcript.pyannote[528].end 5179.55909375
transcript.pyannote[529].speaker SPEAKER_07
transcript.pyannote[529].start 5180.03159375
transcript.pyannote[529].end 5182.19159375
transcript.pyannote[530].speaker SPEAKER_07
transcript.pyannote[530].start 5183.15346875
transcript.pyannote[530].end 5184.90846875
transcript.pyannote[531].speaker SPEAKER_07
transcript.pyannote[531].start 5185.53284375
transcript.pyannote[531].end 5193.12659375
transcript.pyannote[532].speaker SPEAKER_07
transcript.pyannote[532].start 5194.96596875
transcript.pyannote[532].end 5195.35409375
transcript.pyannote[533].speaker SPEAKER_07
transcript.pyannote[533].start 5195.55659375
transcript.pyannote[533].end 5197.48034375
transcript.pyannote[534].speaker SPEAKER_07
transcript.pyannote[534].start 5198.32409375
transcript.pyannote[534].end 5201.93534375
transcript.pyannote[535].speaker SPEAKER_07
transcript.pyannote[535].start 5203.77471875
transcript.pyannote[535].end 5206.06971875
transcript.pyannote[536].speaker SPEAKER_07
transcript.pyannote[536].start 5207.35221875
transcript.pyannote[536].end 5207.84159375
transcript.pyannote[537].speaker SPEAKER_07
transcript.pyannote[537].start 5209.07346875
transcript.pyannote[537].end 5217.17346875
transcript.pyannote[538].speaker SPEAKER_07
transcript.pyannote[538].start 5218.01721875
transcript.pyannote[538].end 5220.02534375
transcript.pyannote[539].speaker SPEAKER_07
transcript.pyannote[539].start 5220.19409375
transcript.pyannote[539].end 5223.07971875
transcript.pyannote[540].speaker SPEAKER_07
transcript.pyannote[540].start 5223.29909375
transcript.pyannote[540].end 5226.38721875
transcript.pyannote[541].speaker SPEAKER_07
transcript.pyannote[541].start 5227.28159375
transcript.pyannote[541].end 5228.96909375
transcript.pyannote[542].speaker SPEAKER_07
transcript.pyannote[542].start 5230.58909375
transcript.pyannote[542].end 5232.39471875
transcript.pyannote[543].speaker SPEAKER_07
transcript.pyannote[543].start 5233.17096875
transcript.pyannote[543].end 5233.84596875
transcript.pyannote[544].speaker SPEAKER_07
transcript.pyannote[544].start 5234.31846875
transcript.pyannote[544].end 5236.61346875
transcript.pyannote[545].speaker SPEAKER_07
transcript.pyannote[545].start 5237.50784375
transcript.pyannote[545].end 5237.87909375
transcript.pyannote[546].speaker SPEAKER_07
transcript.pyannote[546].start 5238.36846875
transcript.pyannote[546].end 5243.16096875
transcript.pyannote[547].speaker SPEAKER_07
transcript.pyannote[547].start 5243.97096875
transcript.pyannote[547].end 5245.92846875
transcript.pyannote[548].speaker SPEAKER_07
transcript.pyannote[548].start 5246.78909375
transcript.pyannote[548].end 5248.99971875
transcript.pyannote[549].speaker SPEAKER_07
transcript.pyannote[549].start 5249.97846875
transcript.pyannote[549].end 5250.90659375
transcript.pyannote[550].speaker SPEAKER_07
transcript.pyannote[550].start 5251.64909375
transcript.pyannote[550].end 5252.10471875
transcript.pyannote[551].speaker SPEAKER_07
transcript.pyannote[551].start 5252.49284375
transcript.pyannote[551].end 5255.12534375
transcript.pyannote[552].speaker SPEAKER_07
transcript.pyannote[552].start 5255.81721875
transcript.pyannote[552].end 5258.43284375
transcript.pyannote[553].speaker SPEAKER_07
transcript.pyannote[553].start 5259.86721875
transcript.pyannote[553].end 5261.16659375
transcript.pyannote[554].speaker SPEAKER_07
transcript.pyannote[554].start 5261.70659375
transcript.pyannote[554].end 5263.14096875
transcript.pyannote[555].speaker SPEAKER_07
transcript.pyannote[555].start 5263.25909375
transcript.pyannote[555].end 5263.98471875
transcript.pyannote[556].speaker SPEAKER_07
transcript.pyannote[556].start 5264.52471875
transcript.pyannote[556].end 5266.02659375
transcript.pyannote[557].speaker SPEAKER_07
transcript.pyannote[557].start 5267.32596875
transcript.pyannote[557].end 5268.18659375
transcript.pyannote[558].speaker SPEAKER_07
transcript.pyannote[558].start 5268.76034375
transcript.pyannote[558].end 5270.73471875
transcript.pyannote[559].speaker SPEAKER_07
transcript.pyannote[559].start 5271.64596875
transcript.pyannote[559].end 5273.70471875
transcript.pyannote[560].speaker SPEAKER_07
transcript.pyannote[560].start 5274.24471875
transcript.pyannote[560].end 5275.91534375
transcript.pyannote[561].speaker SPEAKER_07
transcript.pyannote[561].start 5276.16846875
transcript.pyannote[561].end 5281.63596875
transcript.pyannote[562].speaker SPEAKER_07
transcript.pyannote[562].start 5282.37846875
transcript.pyannote[562].end 5283.12096875
transcript.pyannote[563].speaker SPEAKER_07
transcript.pyannote[563].start 5283.35721875
transcript.pyannote[563].end 5284.92659375
transcript.pyannote[564].speaker SPEAKER_07
transcript.pyannote[564].start 5284.99409375
transcript.pyannote[564].end 5285.02784375
transcript.pyannote[565].speaker SPEAKER_07
transcript.pyannote[565].start 5285.07846875
transcript.pyannote[565].end 5286.61409375
transcript.pyannote[566].speaker SPEAKER_07
transcript.pyannote[566].start 5286.81659375
transcript.pyannote[566].end 5289.02721875
transcript.pyannote[567].speaker SPEAKER_07
transcript.pyannote[567].start 5289.22971875
transcript.pyannote[567].end 5292.40221875
transcript.pyannote[568].speaker SPEAKER_07
transcript.pyannote[568].start 5293.09409375
transcript.pyannote[568].end 5300.51909375
transcript.pyannote[569].speaker SPEAKER_05
transcript.pyannote[569].start 5301.51471875
transcript.pyannote[569].end 5328.98721875
transcript.pyannote[570].speaker SPEAKER_07
transcript.pyannote[570].start 5329.05471875
transcript.pyannote[570].end 5335.02846875
transcript.pyannote[571].speaker SPEAKER_01
transcript.pyannote[571].start 5335.02846875
transcript.pyannote[571].end 5341.77846875
transcript.pyannote[572].speaker SPEAKER_04
transcript.pyannote[572].start 5348.25846875
transcript.pyannote[572].end 5349.40596875
transcript.pyannote[573].speaker SPEAKER_04
transcript.pyannote[573].start 5352.35909375
transcript.pyannote[573].end 5353.21971875
transcript.pyannote[574].speaker SPEAKER_01
transcript.pyannote[574].start 5353.21971875
transcript.pyannote[574].end 5353.23659375
transcript.pyannote[575].speaker SPEAKER_04
transcript.pyannote[575].start 5353.23659375
transcript.pyannote[575].end 5353.25346875
transcript.pyannote[576].speaker SPEAKER_01
transcript.pyannote[576].start 5354.45159375
transcript.pyannote[576].end 5355.10971875
transcript.pyannote[577].speaker SPEAKER_05
transcript.pyannote[577].start 5355.10971875
transcript.pyannote[577].end 5355.21096875
transcript.pyannote[578].speaker SPEAKER_20
transcript.pyannote[578].start 5355.66659375
transcript.pyannote[578].end 5355.71721875
transcript.pyannote[579].speaker SPEAKER_05
transcript.pyannote[579].start 5355.71721875
transcript.pyannote[579].end 5357.86034375
transcript.pyannote[580].speaker SPEAKER_20
transcript.pyannote[580].start 5357.99534375
transcript.pyannote[580].end 5358.01221875
transcript.pyannote[581].speaker SPEAKER_04
transcript.pyannote[581].start 5358.01221875
transcript.pyannote[581].end 5360.56034375
transcript.pyannote[582].speaker SPEAKER_04
transcript.pyannote[582].start 5361.28596875
transcript.pyannote[582].end 5362.02846875
transcript.pyannote[583].speaker SPEAKER_04
transcript.pyannote[583].start 5362.43346875
transcript.pyannote[583].end 5362.55159375
transcript.pyannote[584].speaker SPEAKER_04
transcript.pyannote[584].start 5362.97346875
transcript.pyannote[584].end 5365.53846875
transcript.pyannote[585].speaker SPEAKER_04
transcript.pyannote[585].start 5366.41596875
transcript.pyannote[585].end 5367.68159375
transcript.pyannote[586].speaker SPEAKER_04
transcript.pyannote[586].start 5368.42409375
transcript.pyannote[586].end 5369.03159375
transcript.pyannote[587].speaker SPEAKER_01
transcript.pyannote[587].start 5369.03159375
transcript.pyannote[587].end 5370.33096875
transcript.pyannote[588].speaker SPEAKER_01
transcript.pyannote[588].start 5372.84534375
transcript.pyannote[588].end 5374.80284375
transcript.pyannote[589].speaker SPEAKER_01
transcript.pyannote[589].start 5375.54534375
transcript.pyannote[589].end 5376.40596875
transcript.pyannote[590].speaker SPEAKER_25
transcript.pyannote[590].start 5375.64659375
transcript.pyannote[590].end 5376.25409375
transcript.pyannote[591].speaker SPEAKER_25
transcript.pyannote[591].start 5376.54096875
transcript.pyannote[591].end 5378.19471875
transcript.pyannote[592].speaker SPEAKER_01
transcript.pyannote[592].start 5376.82784375
transcript.pyannote[592].end 5378.97096875
transcript.pyannote[593].speaker SPEAKER_04
transcript.pyannote[593].start 5378.97096875
transcript.pyannote[593].end 5396.94284375
transcript.pyannote[594].speaker SPEAKER_04
transcript.pyannote[594].start 5397.51659375
transcript.pyannote[594].end 5398.68096875
transcript.pyannote[595].speaker SPEAKER_04
transcript.pyannote[595].start 5398.86659375
transcript.pyannote[595].end 5400.46971875
transcript.pyannote[596].speaker SPEAKER_04
transcript.pyannote[596].start 5401.53284375
transcript.pyannote[596].end 5403.11909375
transcript.pyannote[597].speaker SPEAKER_04
transcript.pyannote[597].start 5404.55346875
transcript.pyannote[597].end 5405.34659375
transcript.pyannote[598].speaker SPEAKER_04
transcript.pyannote[598].start 5406.07221875
transcript.pyannote[598].end 5406.73034375
transcript.pyannote[599].speaker SPEAKER_04
transcript.pyannote[599].start 5407.35471875
transcript.pyannote[599].end 5408.53596875
transcript.pyannote[600].speaker SPEAKER_04
transcript.pyannote[600].start 5409.00846875
transcript.pyannote[600].end 5409.68346875
transcript.pyannote[601].speaker SPEAKER_04
transcript.pyannote[601].start 5410.39221875
transcript.pyannote[601].end 5413.95284375
transcript.pyannote[602].speaker SPEAKER_04
transcript.pyannote[602].start 5413.96971875
transcript.pyannote[602].end 5414.03721875
transcript.pyannote[603].speaker SPEAKER_04
transcript.pyannote[603].start 5414.08784375
transcript.pyannote[603].end 5418.17159375
transcript.pyannote[604].speaker SPEAKER_04
transcript.pyannote[604].start 5419.03221875
transcript.pyannote[604].end 5421.74909375
transcript.pyannote[605].speaker SPEAKER_04
transcript.pyannote[605].start 5422.66034375
transcript.pyannote[605].end 5423.08221875
transcript.pyannote[606].speaker SPEAKER_04
transcript.pyannote[606].start 5423.79096875
transcript.pyannote[606].end 5425.81596875
transcript.pyannote[607].speaker SPEAKER_04
transcript.pyannote[607].start 5426.25471875
transcript.pyannote[607].end 5431.11471875
transcript.pyannote[608].speaker SPEAKER_04
transcript.pyannote[608].start 5432.26221875
transcript.pyannote[608].end 5433.86534375
transcript.pyannote[609].speaker SPEAKER_04
transcript.pyannote[609].start 5435.16471875
transcript.pyannote[609].end 5435.46846875
transcript.pyannote[610].speaker SPEAKER_04
transcript.pyannote[610].start 5435.63721875
transcript.pyannote[610].end 5435.99159375
transcript.pyannote[611].speaker SPEAKER_04
transcript.pyannote[611].start 5436.37971875
transcript.pyannote[611].end 5437.49346875
transcript.pyannote[612].speaker SPEAKER_04
transcript.pyannote[612].start 5437.66221875
transcript.pyannote[612].end 5439.94034375
transcript.pyannote[613].speaker SPEAKER_04
transcript.pyannote[613].start 5440.32846875
transcript.pyannote[613].end 5440.93596875
transcript.pyannote[614].speaker SPEAKER_04
transcript.pyannote[614].start 5442.13409375
transcript.pyannote[614].end 5442.48846875
transcript.pyannote[615].speaker SPEAKER_04
transcript.pyannote[615].start 5442.92721875
transcript.pyannote[615].end 5444.15909375
transcript.pyannote[616].speaker SPEAKER_04
transcript.pyannote[616].start 5444.56409375
transcript.pyannote[616].end 5446.80846875
transcript.pyannote[617].speaker SPEAKER_04
transcript.pyannote[617].start 5447.50034375
transcript.pyannote[617].end 5448.95159375
transcript.pyannote[618].speaker SPEAKER_04
transcript.pyannote[618].start 5449.18784375
transcript.pyannote[618].end 5451.02721875
transcript.pyannote[619].speaker SPEAKER_04
transcript.pyannote[619].start 5451.56721875
transcript.pyannote[619].end 5452.22534375
transcript.pyannote[620].speaker SPEAKER_04
transcript.pyannote[620].start 5452.68096875
transcript.pyannote[620].end 5453.91284375
transcript.pyannote[621].speaker SPEAKER_04
transcript.pyannote[621].start 5455.81971875
transcript.pyannote[621].end 5458.33409375
transcript.pyannote[622].speaker SPEAKER_04
transcript.pyannote[622].start 5458.84034375
transcript.pyannote[622].end 5461.01721875
transcript.pyannote[623].speaker SPEAKER_04
transcript.pyannote[623].start 5461.45596875
transcript.pyannote[623].end 5464.29096875
transcript.pyannote[624].speaker SPEAKER_04
transcript.pyannote[624].start 5464.51034375
transcript.pyannote[624].end 5465.35409375
transcript.pyannote[625].speaker SPEAKER_04
transcript.pyannote[625].start 5465.89409375
transcript.pyannote[625].end 5466.55221875
transcript.pyannote[626].speaker SPEAKER_04
transcript.pyannote[626].start 5466.92346875
transcript.pyannote[626].end 5468.56034375
transcript.pyannote[627].speaker SPEAKER_04
transcript.pyannote[627].start 5469.84284375
transcript.pyannote[627].end 5471.95221875
transcript.pyannote[628].speaker SPEAKER_04
transcript.pyannote[628].start 5472.72846875
transcript.pyannote[628].end 5473.25159375
transcript.pyannote[629].speaker SPEAKER_04
transcript.pyannote[629].start 5473.92659375
transcript.pyannote[629].end 5475.56346875
transcript.pyannote[630].speaker SPEAKER_04
transcript.pyannote[630].start 5476.28909375
transcript.pyannote[630].end 5476.86284375
transcript.pyannote[631].speaker SPEAKER_25
transcript.pyannote[631].start 5477.13284375
transcript.pyannote[631].end 5477.52096875
transcript.pyannote[632].speaker SPEAKER_04
transcript.pyannote[632].start 5478.39846875
transcript.pyannote[632].end 5478.95534375
transcript.pyannote[633].speaker SPEAKER_04
transcript.pyannote[633].start 5480.54159375
transcript.pyannote[633].end 5481.25034375
transcript.pyannote[634].speaker SPEAKER_04
transcript.pyannote[634].start 5483.74784375
transcript.pyannote[634].end 5485.31721875
transcript.pyannote[635].speaker SPEAKER_25
transcript.pyannote[635].start 5486.36346875
transcript.pyannote[635].end 5487.10596875
transcript.pyannote[636].speaker SPEAKER_25
transcript.pyannote[636].start 5490.04221875
transcript.pyannote[636].end 5490.07596875
transcript.pyannote[637].speaker SPEAKER_04
transcript.pyannote[637].start 5490.07596875
transcript.pyannote[637].end 5490.91971875
transcript.pyannote[638].speaker SPEAKER_25
transcript.pyannote[638].start 5490.19409375
transcript.pyannote[638].end 5494.15971875
transcript.pyannote[639].speaker SPEAKER_04
transcript.pyannote[639].start 5492.72534375
transcript.pyannote[639].end 5494.42971875
transcript.pyannote[640].speaker SPEAKER_04
transcript.pyannote[640].start 5494.75034375
transcript.pyannote[640].end 5497.45034375
transcript.pyannote[641].speaker SPEAKER_04
transcript.pyannote[641].start 5498.31096875
transcript.pyannote[641].end 5499.93096875
transcript.pyannote[642].speaker SPEAKER_04
transcript.pyannote[642].start 5500.15034375
transcript.pyannote[642].end 5501.34846875
transcript.pyannote[643].speaker SPEAKER_04
transcript.pyannote[643].start 5503.57596875
transcript.pyannote[643].end 5504.48721875
transcript.pyannote[644].speaker SPEAKER_04
transcript.pyannote[644].start 5505.16221875
transcript.pyannote[644].end 5507.52471875
transcript.pyannote[645].speaker SPEAKER_04
transcript.pyannote[645].start 5508.33471875
transcript.pyannote[645].end 5509.85346875
transcript.pyannote[646].speaker SPEAKER_04
transcript.pyannote[646].start 5510.35971875
transcript.pyannote[646].end 5514.25784375
transcript.pyannote[647].speaker SPEAKER_04
transcript.pyannote[647].start 5515.84409375
transcript.pyannote[647].end 5518.37534375
transcript.pyannote[648].speaker SPEAKER_04
transcript.pyannote[648].start 5518.72971875
transcript.pyannote[648].end 5519.60721875
transcript.pyannote[649].speaker SPEAKER_04
transcript.pyannote[649].start 5520.09659375
transcript.pyannote[649].end 5521.68284375
transcript.pyannote[650].speaker SPEAKER_04
transcript.pyannote[650].start 5521.88534375
transcript.pyannote[650].end 5523.45471875
transcript.pyannote[651].speaker SPEAKER_04
transcript.pyannote[651].start 5523.94409375
transcript.pyannote[651].end 5526.01971875
transcript.pyannote[652].speaker SPEAKER_04
transcript.pyannote[652].start 5526.77909375
transcript.pyannote[652].end 5527.80846875
transcript.pyannote[653].speaker SPEAKER_25
transcript.pyannote[653].start 5528.34846875
transcript.pyannote[653].end 5529.00659375
transcript.pyannote[654].speaker SPEAKER_04
transcript.pyannote[654].start 5529.00659375
transcript.pyannote[654].end 5531.80784375
transcript.pyannote[655].speaker SPEAKER_04
transcript.pyannote[655].start 5531.95971875
transcript.pyannote[655].end 5537.49471875
transcript.pyannote[656].speaker SPEAKER_04
transcript.pyannote[656].start 5538.00096875
transcript.pyannote[656].end 5540.53221875
transcript.pyannote[657].speaker SPEAKER_18
transcript.pyannote[657].start 5539.03034375
transcript.pyannote[657].end 5539.08096875
transcript.pyannote[658].speaker SPEAKER_24
transcript.pyannote[658].start 5539.08096875
transcript.pyannote[658].end 5539.14846875
transcript.pyannote[659].speaker SPEAKER_18
transcript.pyannote[659].start 5539.14846875
transcript.pyannote[659].end 5539.18221875
transcript.pyannote[660].speaker SPEAKER_18
transcript.pyannote[660].start 5539.19909375
transcript.pyannote[660].end 5539.24971875
transcript.pyannote[661].speaker SPEAKER_18
transcript.pyannote[661].start 5539.30034375
transcript.pyannote[661].end 5539.33409375
transcript.pyannote[662].speaker SPEAKER_24
transcript.pyannote[662].start 5540.53221875
transcript.pyannote[662].end 5544.56534375
transcript.pyannote[663].speaker SPEAKER_04
transcript.pyannote[663].start 5541.17346875
transcript.pyannote[663].end 5542.67534375
transcript.pyannote[664].speaker SPEAKER_04
transcript.pyannote[664].start 5543.35034375
transcript.pyannote[664].end 5548.14284375
transcript.pyannote[665].speaker SPEAKER_24
transcript.pyannote[665].start 5545.05471875
transcript.pyannote[665].end 5545.18971875
transcript.pyannote[666].speaker SPEAKER_04
transcript.pyannote[666].start 5548.81784375
transcript.pyannote[666].end 5549.37471875
transcript.pyannote[667].speaker SPEAKER_04
transcript.pyannote[667].start 5549.61096875
transcript.pyannote[667].end 5550.58971875
transcript.pyannote[668].speaker SPEAKER_04
transcript.pyannote[668].start 5551.34909375
transcript.pyannote[668].end 5552.36159375
transcript.pyannote[669].speaker SPEAKER_04
transcript.pyannote[669].start 5552.69909375
transcript.pyannote[669].end 5554.15034375
transcript.pyannote[670].speaker SPEAKER_04
transcript.pyannote[670].start 5555.73659375
transcript.pyannote[670].end 5557.60971875
transcript.pyannote[671].speaker SPEAKER_04
transcript.pyannote[671].start 5558.53784375
transcript.pyannote[671].end 5559.85409375
transcript.pyannote[672].speaker SPEAKER_04
transcript.pyannote[672].start 5560.51221875
transcript.pyannote[672].end 5561.76096875
transcript.pyannote[673].speaker SPEAKER_04
transcript.pyannote[673].start 5562.28409375
transcript.pyannote[673].end 5563.06034375
transcript.pyannote[674].speaker SPEAKER_04
transcript.pyannote[674].start 5563.44846875
transcript.pyannote[674].end 5563.73534375
transcript.pyannote[675].speaker SPEAKER_04
transcript.pyannote[675].start 5563.90409375
transcript.pyannote[675].end 5566.16534375
transcript.pyannote[676].speaker SPEAKER_04
transcript.pyannote[676].start 5566.36784375
transcript.pyannote[676].end 5568.52784375
transcript.pyannote[677].speaker SPEAKER_04
transcript.pyannote[677].start 5569.50659375
transcript.pyannote[677].end 5570.94096875
transcript.pyannote[678].speaker SPEAKER_04
transcript.pyannote[678].start 5571.78471875
transcript.pyannote[678].end 5574.46784375
transcript.pyannote[679].speaker SPEAKER_04
transcript.pyannote[679].start 5575.15971875
transcript.pyannote[679].end 5576.96534375
transcript.pyannote[680].speaker SPEAKER_18
transcript.pyannote[680].start 5577.16784375
transcript.pyannote[680].end 5577.52221875
transcript.pyannote[681].speaker SPEAKER_04
transcript.pyannote[681].start 5577.31971875
transcript.pyannote[681].end 5578.12971875
transcript.pyannote[682].speaker SPEAKER_04
transcript.pyannote[682].start 5578.97346875
transcript.pyannote[682].end 5582.28096875
transcript.pyannote[683].speaker SPEAKER_04
transcript.pyannote[683].start 5583.52971875
transcript.pyannote[683].end 5585.48721875
transcript.pyannote[684].speaker SPEAKER_04
transcript.pyannote[684].start 5585.70659375
transcript.pyannote[684].end 5587.07346875
transcript.pyannote[685].speaker SPEAKER_04
transcript.pyannote[685].start 5587.19159375
transcript.pyannote[685].end 5588.49096875
transcript.pyannote[686].speaker SPEAKER_04
transcript.pyannote[686].start 5588.86221875
transcript.pyannote[686].end 5589.68909375
transcript.pyannote[687].speaker SPEAKER_04
transcript.pyannote[687].start 5590.04346875
transcript.pyannote[687].end 5591.00534375
transcript.pyannote[688].speaker SPEAKER_04
transcript.pyannote[688].start 5591.84909375
transcript.pyannote[688].end 5592.20346875
transcript.pyannote[689].speaker SPEAKER_04
transcript.pyannote[689].start 5592.49034375
transcript.pyannote[689].end 5594.00909375
transcript.pyannote[690].speaker SPEAKER_04
transcript.pyannote[690].start 5595.32534375
transcript.pyannote[690].end 5596.77659375
transcript.pyannote[691].speaker SPEAKER_04
transcript.pyannote[691].start 5597.35034375
transcript.pyannote[691].end 5598.90284375
transcript.pyannote[692].speaker SPEAKER_04
transcript.pyannote[692].start 5599.49346875
transcript.pyannote[692].end 5603.35784375
transcript.pyannote[693].speaker SPEAKER_04
transcript.pyannote[693].start 5605.21409375
transcript.pyannote[693].end 5608.33596875
transcript.pyannote[694].speaker SPEAKER_04
transcript.pyannote[694].start 5609.77034375
transcript.pyannote[694].end 5611.71096875
transcript.pyannote[695].speaker SPEAKER_04
transcript.pyannote[695].start 5612.18346875
transcript.pyannote[695].end 5615.23784375
transcript.pyannote[696].speaker SPEAKER_04
transcript.pyannote[696].start 5616.06471875
transcript.pyannote[696].end 5617.78596875
transcript.pyannote[697].speaker SPEAKER_04
transcript.pyannote[697].start 5617.92096875
transcript.pyannote[697].end 5620.01346875
transcript.pyannote[698].speaker SPEAKER_04
transcript.pyannote[698].start 5620.80659375
transcript.pyannote[698].end 5623.84409375
transcript.pyannote[699].speaker SPEAKER_04
transcript.pyannote[699].start 5624.85659375
transcript.pyannote[699].end 5626.56096875
transcript.pyannote[700].speaker SPEAKER_04
transcript.pyannote[700].start 5627.21909375
transcript.pyannote[700].end 5629.61534375
transcript.pyannote[701].speaker SPEAKER_04
transcript.pyannote[701].start 5629.73346875
transcript.pyannote[701].end 5633.51346875
transcript.pyannote[702].speaker SPEAKER_04
transcript.pyannote[702].start 5634.91409375
transcript.pyannote[702].end 5636.50034375
transcript.pyannote[703].speaker SPEAKER_04
transcript.pyannote[703].start 5637.52971875
transcript.pyannote[703].end 5644.75221875
transcript.pyannote[704].speaker SPEAKER_04
transcript.pyannote[704].start 5645.29221875
transcript.pyannote[704].end 5645.88284375
transcript.pyannote[705].speaker SPEAKER_04
transcript.pyannote[705].start 5646.16971875
transcript.pyannote[705].end 5646.49034375
transcript.pyannote[706].speaker SPEAKER_04
transcript.pyannote[706].start 5647.09784375
transcript.pyannote[706].end 5648.98784375
transcript.pyannote[707].speaker SPEAKER_04
transcript.pyannote[707].start 5649.51096875
transcript.pyannote[707].end 5650.43909375
transcript.pyannote[708].speaker SPEAKER_04
transcript.pyannote[708].start 5650.99596875
transcript.pyannote[708].end 5652.46409375
transcript.pyannote[709].speaker SPEAKER_04
transcript.pyannote[709].start 5653.47659375
transcript.pyannote[709].end 5653.86471875
transcript.pyannote[710].speaker SPEAKER_04
transcript.pyannote[710].start 5654.13471875
transcript.pyannote[710].end 5655.13034375
transcript.pyannote[711].speaker SPEAKER_04
transcript.pyannote[711].start 5655.28221875
transcript.pyannote[711].end 5656.64909375
transcript.pyannote[712].speaker SPEAKER_04
transcript.pyannote[712].start 5657.64471875
transcript.pyannote[712].end 5660.54721875
transcript.pyannote[713].speaker SPEAKER_04
transcript.pyannote[713].start 5660.91846875
transcript.pyannote[713].end 5663.95596875
transcript.pyannote[714].speaker SPEAKER_04
transcript.pyannote[714].start 5664.14159375
transcript.pyannote[714].end 5666.77409375
transcript.pyannote[715].speaker SPEAKER_04
transcript.pyannote[715].start 5667.58409375
transcript.pyannote[715].end 5668.57971875
transcript.pyannote[716].speaker SPEAKER_04
transcript.pyannote[716].start 5670.04784375
transcript.pyannote[716].end 5673.35534375
transcript.pyannote[717].speaker SPEAKER_25
transcript.pyannote[717].start 5673.89534375
transcript.pyannote[717].end 5678.28284375
transcript.pyannote[718].speaker SPEAKER_25
transcript.pyannote[718].start 5678.41784375
transcript.pyannote[718].end 5685.11721875
transcript.pyannote[719].speaker SPEAKER_04
transcript.pyannote[719].start 5683.93596875
transcript.pyannote[719].end 5685.72471875
transcript.pyannote[720].speaker SPEAKER_25
transcript.pyannote[720].start 5685.72471875
transcript.pyannote[720].end 5704.84409375
transcript.pyannote[721].speaker SPEAKER_04
transcript.pyannote[721].start 5686.02846875
transcript.pyannote[721].end 5686.36596875
transcript.pyannote[722].speaker SPEAKER_04
transcript.pyannote[722].start 5689.97721875
transcript.pyannote[722].end 5692.15409375
transcript.pyannote[723].speaker SPEAKER_04
transcript.pyannote[723].start 5694.68534375
transcript.pyannote[723].end 5696.15346875
transcript.pyannote[724].speaker SPEAKER_04
transcript.pyannote[724].start 5704.30409375
transcript.pyannote[724].end 5704.67534375
transcript.pyannote[725].speaker SPEAKER_04
transcript.pyannote[725].start 5704.84409375
transcript.pyannote[725].end 5706.07596875
transcript.pyannote[726].speaker SPEAKER_04
transcript.pyannote[726].start 5707.56096875
transcript.pyannote[726].end 5715.69471875
transcript.pyannote[727].speaker SPEAKER_04
transcript.pyannote[727].start 5716.38659375
transcript.pyannote[727].end 5718.68159375
transcript.pyannote[728].speaker SPEAKER_04
transcript.pyannote[728].start 5719.08659375
transcript.pyannote[728].end 5721.70221875
transcript.pyannote[729].speaker SPEAKER_04
transcript.pyannote[729].start 5721.83721875
transcript.pyannote[729].end 5722.30971875
transcript.pyannote[730].speaker SPEAKER_04
transcript.pyannote[730].start 5722.46159375
transcript.pyannote[730].end 5724.70596875
transcript.pyannote[731].speaker SPEAKER_04
transcript.pyannote[731].start 5725.24596875
transcript.pyannote[731].end 5727.55784375
transcript.pyannote[732].speaker SPEAKER_04
transcript.pyannote[732].start 5727.79409375
transcript.pyannote[732].end 5728.95846875
transcript.pyannote[733].speaker SPEAKER_04
transcript.pyannote[733].start 5729.31284375
transcript.pyannote[733].end 5729.97096875
transcript.pyannote[734].speaker SPEAKER_04
transcript.pyannote[734].start 5730.62909375
transcript.pyannote[734].end 5732.11409375
transcript.pyannote[735].speaker SPEAKER_04
transcript.pyannote[735].start 5732.87346875
transcript.pyannote[735].end 5733.90284375
transcript.pyannote[736].speaker SPEAKER_04
transcript.pyannote[736].start 5734.72971875
transcript.pyannote[736].end 5735.82659375
transcript.pyannote[737].speaker SPEAKER_04
transcript.pyannote[737].start 5736.34971875
transcript.pyannote[737].end 5739.43784375
transcript.pyannote[738].speaker SPEAKER_04
transcript.pyannote[738].start 5740.16346875
transcript.pyannote[738].end 5741.63159375
transcript.pyannote[739].speaker SPEAKER_04
transcript.pyannote[739].start 5742.86346875
transcript.pyannote[739].end 5743.25159375
transcript.pyannote[740].speaker SPEAKER_04
transcript.pyannote[740].start 5744.24721875
transcript.pyannote[740].end 5744.71971875
transcript.pyannote[741].speaker SPEAKER_04
transcript.pyannote[741].start 5745.17534375
transcript.pyannote[741].end 5747.41971875
transcript.pyannote[742].speaker SPEAKER_04
transcript.pyannote[742].start 5747.95971875
transcript.pyannote[742].end 5751.40221875
transcript.pyannote[743].speaker SPEAKER_04
transcript.pyannote[743].start 5751.79034375
transcript.pyannote[743].end 5754.82784375
transcript.pyannote[744].speaker SPEAKER_04
transcript.pyannote[744].start 5755.62096875
transcript.pyannote[744].end 5758.32096875
transcript.pyannote[745].speaker SPEAKER_04
transcript.pyannote[745].start 5758.42221875
transcript.pyannote[745].end 5760.17721875
transcript.pyannote[746].speaker SPEAKER_04
transcript.pyannote[746].start 5760.66659375
transcript.pyannote[746].end 5764.93596875
transcript.pyannote[747].speaker SPEAKER_04
transcript.pyannote[747].start 5765.17221875
transcript.pyannote[747].end 5770.99409375
transcript.pyannote[748].speaker SPEAKER_04
transcript.pyannote[748].start 5771.21346875
transcript.pyannote[748].end 5774.70659375
transcript.pyannote[749].speaker SPEAKER_04
transcript.pyannote[749].start 5775.01034375
transcript.pyannote[749].end 5778.94221875
transcript.pyannote[750].speaker SPEAKER_04
transcript.pyannote[750].start 5779.88721875
transcript.pyannote[750].end 5780.42721875
transcript.pyannote[751].speaker SPEAKER_04
transcript.pyannote[751].start 5780.64659375
transcript.pyannote[751].end 5782.04721875
transcript.pyannote[752].speaker SPEAKER_04
transcript.pyannote[752].start 5782.31721875
transcript.pyannote[752].end 5782.65471875
transcript.pyannote[753].speaker SPEAKER_04
transcript.pyannote[753].start 5783.04284375
transcript.pyannote[753].end 5783.75159375
transcript.pyannote[754].speaker SPEAKER_04
transcript.pyannote[754].start 5784.00471875
transcript.pyannote[754].end 5784.71346875
transcript.pyannote[755].speaker SPEAKER_04
transcript.pyannote[755].start 5785.99596875
transcript.pyannote[755].end 5786.48534375
transcript.pyannote[756].speaker SPEAKER_04
transcript.pyannote[756].start 5786.60346875
transcript.pyannote[756].end 5787.04221875
transcript.pyannote[757].speaker SPEAKER_04
transcript.pyannote[757].start 5789.25284375
transcript.pyannote[757].end 5790.97409375
transcript.pyannote[758].speaker SPEAKER_04
transcript.pyannote[758].start 5791.63221875
transcript.pyannote[758].end 5793.21846875
transcript.pyannote[759].speaker SPEAKER_25
transcript.pyannote[759].start 5795.00721875
transcript.pyannote[759].end 5796.72846875
transcript.pyannote[760].speaker SPEAKER_25
transcript.pyannote[760].start 5797.25159375
transcript.pyannote[760].end 5797.53846875
transcript.pyannote[761].speaker SPEAKER_04
transcript.pyannote[761].start 5797.53846875
transcript.pyannote[761].end 5797.55534375
transcript.pyannote[762].speaker SPEAKER_25
transcript.pyannote[762].start 5797.55534375
transcript.pyannote[762].end 5798.53409375
transcript.pyannote[763].speaker SPEAKER_04
transcript.pyannote[763].start 5797.58909375
transcript.pyannote[763].end 5798.44971875
transcript.pyannote[764].speaker SPEAKER_25
transcript.pyannote[764].start 5799.19221875
transcript.pyannote[764].end 5800.98096875
transcript.pyannote[765].speaker SPEAKER_04
transcript.pyannote[765].start 5800.87971875
transcript.pyannote[765].end 5803.22534375
transcript.pyannote[766].speaker SPEAKER_25
transcript.pyannote[766].start 5801.43659375
transcript.pyannote[766].end 5802.12846875
transcript.pyannote[767].speaker SPEAKER_25
transcript.pyannote[767].start 5804.01846875
transcript.pyannote[767].end 5806.24596875
transcript.pyannote[768].speaker SPEAKER_04
transcript.pyannote[768].start 5806.24596875
transcript.pyannote[768].end 5806.97159375
transcript.pyannote[769].speaker SPEAKER_04
transcript.pyannote[769].start 5807.22471875
transcript.pyannote[769].end 5807.91659375
transcript.pyannote[770].speaker SPEAKER_04
transcript.pyannote[770].start 5809.14846875
transcript.pyannote[770].end 5810.44784375
transcript.pyannote[771].speaker SPEAKER_04
transcript.pyannote[771].start 5810.98784375
transcript.pyannote[771].end 5814.54846875
transcript.pyannote[772].speaker SPEAKER_04
transcript.pyannote[772].start 5815.71284375
transcript.pyannote[772].end 5816.25284375
transcript.pyannote[773].speaker SPEAKER_04
transcript.pyannote[773].start 5817.06284375
transcript.pyannote[773].end 5818.07534375
transcript.pyannote[774].speaker SPEAKER_04
transcript.pyannote[774].start 5818.42971875
transcript.pyannote[774].end 5822.68221875
transcript.pyannote[775].speaker SPEAKER_04
transcript.pyannote[775].start 5823.03659375
transcript.pyannote[775].end 5825.06159375
transcript.pyannote[776].speaker SPEAKER_04
transcript.pyannote[776].start 5825.31471875
transcript.pyannote[776].end 5827.42409375
transcript.pyannote[777].speaker SPEAKER_04
transcript.pyannote[777].start 5828.43659375
transcript.pyannote[777].end 5833.58346875
transcript.pyannote[778].speaker SPEAKER_04
transcript.pyannote[778].start 5835.64221875
transcript.pyannote[778].end 5838.37596875
transcript.pyannote[779].speaker SPEAKER_04
transcript.pyannote[779].start 5839.23659375
transcript.pyannote[779].end 5839.72596875
transcript.pyannote[780].speaker SPEAKER_04
transcript.pyannote[780].start 5840.50221875
transcript.pyannote[780].end 5843.18534375
transcript.pyannote[781].speaker SPEAKER_04
transcript.pyannote[781].start 5844.07971875
transcript.pyannote[781].end 5846.57721875
transcript.pyannote[782].speaker SPEAKER_04
transcript.pyannote[782].start 5847.52221875
transcript.pyannote[782].end 5849.20971875
transcript.pyannote[783].speaker SPEAKER_04
transcript.pyannote[783].start 5849.47971875
transcript.pyannote[783].end 5851.96034375
transcript.pyannote[784].speaker SPEAKER_04
transcript.pyannote[784].start 5852.31471875
transcript.pyannote[784].end 5853.44534375
transcript.pyannote[785].speaker SPEAKER_04
transcript.pyannote[785].start 5854.13721875
transcript.pyannote[785].end 5855.14971875
transcript.pyannote[786].speaker SPEAKER_04
transcript.pyannote[786].start 5855.45346875
transcript.pyannote[786].end 5855.94284375
transcript.pyannote[787].speaker SPEAKER_04
transcript.pyannote[787].start 5856.16221875
transcript.pyannote[787].end 5857.46159375
transcript.pyannote[788].speaker SPEAKER_04
transcript.pyannote[788].start 5858.64284375
transcript.pyannote[788].end 5858.91284375
transcript.pyannote[789].speaker SPEAKER_04
transcript.pyannote[789].start 5859.62159375
transcript.pyannote[789].end 5860.00971875
transcript.pyannote[790].speaker SPEAKER_04
transcript.pyannote[790].start 5860.60034375
transcript.pyannote[790].end 5862.25409375
transcript.pyannote[791].speaker SPEAKER_25
transcript.pyannote[791].start 5862.25409375
transcript.pyannote[791].end 5862.28784375
transcript.pyannote[792].speaker SPEAKER_04
transcript.pyannote[792].start 5862.28784375
transcript.pyannote[792].end 5862.96284375
transcript.pyannote[793].speaker SPEAKER_04
transcript.pyannote[793].start 5863.78971875
transcript.pyannote[793].end 5863.80659375
transcript.pyannote[794].speaker SPEAKER_25
transcript.pyannote[794].start 5863.80659375
transcript.pyannote[794].end 5864.36346875
transcript.pyannote[795].speaker SPEAKER_25
transcript.pyannote[795].start 5864.76846875
transcript.pyannote[795].end 5865.66284375
transcript.pyannote[796].speaker SPEAKER_25
transcript.pyannote[796].start 5865.88221875
transcript.pyannote[796].end 5878.72409375
transcript.pyannote[797].speaker SPEAKER_04
transcript.pyannote[797].start 5874.21846875
transcript.pyannote[797].end 5875.99034375
transcript.pyannote[798].speaker SPEAKER_04
transcript.pyannote[798].start 5876.91846875
transcript.pyannote[798].end 5879.11221875
transcript.pyannote[799].speaker SPEAKER_25
transcript.pyannote[799].start 5879.36534375
transcript.pyannote[799].end 5879.75346875
transcript.pyannote[800].speaker SPEAKER_04
transcript.pyannote[800].start 5879.75346875
transcript.pyannote[800].end 5885.28846875
transcript.pyannote[801].speaker SPEAKER_25
transcript.pyannote[801].start 5881.05284375
transcript.pyannote[801].end 5881.20471875
transcript.pyannote[802].speaker SPEAKER_25
transcript.pyannote[802].start 5881.79534375
transcript.pyannote[802].end 5883.73596875
transcript.pyannote[803].speaker SPEAKER_25
transcript.pyannote[803].start 5884.22534375
transcript.pyannote[803].end 5885.71034375
transcript.pyannote[804].speaker SPEAKER_04
transcript.pyannote[804].start 5885.87909375
transcript.pyannote[804].end 5887.43159375
transcript.pyannote[805].speaker SPEAKER_25
transcript.pyannote[805].start 5887.83659375
transcript.pyannote[805].end 5901.10034375
transcript.pyannote[806].speaker SPEAKER_04
transcript.pyannote[806].start 5888.84909375
transcript.pyannote[806].end 5889.87846875
transcript.pyannote[807].speaker SPEAKER_24
transcript.pyannote[807].start 5889.87846875
transcript.pyannote[807].end 5889.92909375
transcript.pyannote[808].speaker SPEAKER_24
transcript.pyannote[808].start 5891.12721875
transcript.pyannote[808].end 5891.16096875
transcript.pyannote[809].speaker SPEAKER_04
transcript.pyannote[809].start 5891.16096875
transcript.pyannote[809].end 5891.85284375
transcript.pyannote[810].speaker SPEAKER_24
transcript.pyannote[810].start 5891.85284375
transcript.pyannote[810].end 5892.03846875
transcript.pyannote[811].speaker SPEAKER_25
transcript.pyannote[811].start 5901.72471875
transcript.pyannote[811].end 5906.88846875
transcript.pyannote[812].speaker SPEAKER_04
transcript.pyannote[812].start 5906.88846875
transcript.pyannote[812].end 5911.00596875
transcript.pyannote[813].speaker SPEAKER_25
transcript.pyannote[813].start 5911.00596875
transcript.pyannote[813].end 5926.39596875
transcript.pyannote[814].speaker SPEAKER_04
transcript.pyannote[814].start 5911.44471875
transcript.pyannote[814].end 5911.46159375
transcript.pyannote[815].speaker SPEAKER_04
transcript.pyannote[815].start 5914.24596875
transcript.pyannote[815].end 5916.27096875
transcript.pyannote[816].speaker SPEAKER_04
transcript.pyannote[816].start 5918.38034375
transcript.pyannote[816].end 5921.72159375
transcript.pyannote[817].speaker SPEAKER_04
transcript.pyannote[817].start 5925.63659375
transcript.pyannote[817].end 5928.94409375
transcript.pyannote[818].speaker SPEAKER_25
transcript.pyannote[818].start 5926.75034375
transcript.pyannote[818].end 5926.76721875
transcript.pyannote[819].speaker SPEAKER_25
transcript.pyannote[819].start 5929.28159375
transcript.pyannote[819].end 5935.69409375
transcript.pyannote[820].speaker SPEAKER_04
transcript.pyannote[820].start 5931.52596875
transcript.pyannote[820].end 5937.92159375
transcript.pyannote[821].speaker SPEAKER_04
transcript.pyannote[821].start 5938.24221875
transcript.pyannote[821].end 5938.76534375
transcript.pyannote[822].speaker SPEAKER_04
transcript.pyannote[822].start 5939.59221875
transcript.pyannote[822].end 5940.99284375
transcript.pyannote[823].speaker SPEAKER_04
transcript.pyannote[823].start 5941.41471875
transcript.pyannote[823].end 5942.74784375
transcript.pyannote[824].speaker SPEAKER_04
transcript.pyannote[824].start 5943.10221875
transcript.pyannote[824].end 5945.78534375
transcript.pyannote[825].speaker SPEAKER_25
transcript.pyannote[825].start 5946.30846875
transcript.pyannote[825].end 5963.38596875
transcript.pyannote[826].speaker SPEAKER_04
transcript.pyannote[826].start 5947.50659375
transcript.pyannote[826].end 5947.89471875
transcript.pyannote[827].speaker SPEAKER_24
transcript.pyannote[827].start 5947.89471875
transcript.pyannote[827].end 5947.91159375
transcript.pyannote[828].speaker SPEAKER_24
transcript.pyannote[828].start 5949.75096875
transcript.pyannote[828].end 5949.78471875
transcript.pyannote[829].speaker SPEAKER_04
transcript.pyannote[829].start 5949.78471875
transcript.pyannote[829].end 5950.10534375
transcript.pyannote[830].speaker SPEAKER_24
transcript.pyannote[830].start 5950.10534375
transcript.pyannote[830].end 5950.40909375
transcript.pyannote[831].speaker SPEAKER_24
transcript.pyannote[831].start 5950.62846875
transcript.pyannote[831].end 5952.31596875
transcript.pyannote[832].speaker SPEAKER_01
transcript.pyannote[832].start 5956.72034375
transcript.pyannote[832].end 5958.47534375
transcript.pyannote[833].speaker SPEAKER_01
transcript.pyannote[833].start 5962.40721875
transcript.pyannote[833].end 5969.81534375
transcript.pyannote[834].speaker SPEAKER_01
transcript.pyannote[834].start 5970.03471875
transcript.pyannote[834].end 5970.91221875
transcript.pyannote[835].speaker SPEAKER_04
transcript.pyannote[835].start 5970.08534375
transcript.pyannote[835].end 5970.52409375
transcript.pyannote[836].speaker SPEAKER_01
transcript.pyannote[836].start 5971.60409375
transcript.pyannote[836].end 5977.96596875
transcript.pyannote[837].speaker SPEAKER_04
transcript.pyannote[837].start 5974.87784375
transcript.pyannote[837].end 5975.65409375
transcript.pyannote[838].speaker SPEAKER_04
transcript.pyannote[838].start 5977.96596875
transcript.pyannote[838].end 5977.98284375
transcript.pyannote[839].speaker SPEAKER_04
transcript.pyannote[839].start 5978.57346875
transcript.pyannote[839].end 5980.22721875
transcript.pyannote[840].speaker SPEAKER_04
transcript.pyannote[840].start 5980.46346875
transcript.pyannote[840].end 5983.26471875
transcript.pyannote[841].speaker SPEAKER_04
transcript.pyannote[841].start 5983.95659375
transcript.pyannote[841].end 5984.68221875
transcript.pyannote[842].speaker SPEAKER_04
transcript.pyannote[842].start 5984.93534375
transcript.pyannote[842].end 5985.98159375
transcript.pyannote[843].speaker SPEAKER_04
transcript.pyannote[843].start 5986.74096875
transcript.pyannote[843].end 5987.63534375
transcript.pyannote[844].speaker SPEAKER_04
transcript.pyannote[844].start 5988.71534375
transcript.pyannote[844].end 5990.06534375
transcript.pyannote[845].speaker SPEAKER_04
transcript.pyannote[845].start 5990.55471875
transcript.pyannote[845].end 5992.84971875
transcript.pyannote[846].speaker SPEAKER_04
transcript.pyannote[846].start 5994.06471875
transcript.pyannote[846].end 5994.92534375
transcript.pyannote[847].speaker SPEAKER_25
transcript.pyannote[847].start 5994.92534375
transcript.pyannote[847].end 5994.94221875
transcript.pyannote[848].speaker SPEAKER_04
transcript.pyannote[848].start 5996.12346875
transcript.pyannote[848].end 5996.14034375
transcript.pyannote[849].speaker SPEAKER_25
transcript.pyannote[849].start 5996.14034375
transcript.pyannote[849].end 5997.54096875
transcript.pyannote[850].speaker SPEAKER_25
transcript.pyannote[850].start 5998.58721875
transcript.pyannote[850].end 6002.51909375
transcript.pyannote[851].speaker SPEAKER_04
transcript.pyannote[851].start 6002.51909375
transcript.pyannote[851].end 6002.53596875
transcript.pyannote[852].speaker SPEAKER_25
transcript.pyannote[852].start 6002.90721875
transcript.pyannote[852].end 6003.91971875
transcript.pyannote[853].speaker SPEAKER_25
transcript.pyannote[853].start 6005.25284375
transcript.pyannote[853].end 6013.75784375
transcript.pyannote[854].speaker SPEAKER_25
transcript.pyannote[854].start 6013.82534375
transcript.pyannote[854].end 6015.64784375
transcript.pyannote[855].speaker SPEAKER_04
transcript.pyannote[855].start 6014.44971875
transcript.pyannote[855].end 6018.02721875
transcript.pyannote[856].speaker SPEAKER_25
transcript.pyannote[856].start 6018.92159375
transcript.pyannote[856].end 6019.03971875
transcript.pyannote[857].speaker SPEAKER_04
transcript.pyannote[857].start 6019.03971875
transcript.pyannote[857].end 6019.81596875
transcript.pyannote[858].speaker SPEAKER_25
transcript.pyannote[858].start 6019.20846875
transcript.pyannote[858].end 6023.93346875
transcript.pyannote[859].speaker SPEAKER_04
transcript.pyannote[859].start 6022.41471875
transcript.pyannote[859].end 6022.56659375
transcript.pyannote[860].speaker SPEAKER_04
transcript.pyannote[860].start 6023.93346875
transcript.pyannote[860].end 6024.03471875
transcript.pyannote[861].speaker SPEAKER_01
transcript.pyannote[861].start 6024.03471875
transcript.pyannote[861].end 6026.66721875
transcript.pyannote[862].speaker SPEAKER_25
transcript.pyannote[862].start 6024.69284375
transcript.pyannote[862].end 6025.95846875
transcript.pyannote[863].speaker SPEAKER_01
transcript.pyannote[863].start 6026.70096875
transcript.pyannote[863].end 6026.71784375
transcript.pyannote[864].speaker SPEAKER_25
transcript.pyannote[864].start 6026.93721875
transcript.pyannote[864].end 6026.97096875
transcript.pyannote[865].speaker SPEAKER_01
transcript.pyannote[865].start 6026.97096875
transcript.pyannote[865].end 6028.01721875
transcript.pyannote[866].speaker SPEAKER_25
transcript.pyannote[866].start 6027.10596875
transcript.pyannote[866].end 6027.74721875
transcript.pyannote[867].speaker SPEAKER_01
transcript.pyannote[867].start 6028.30409375
transcript.pyannote[867].end 6029.50221875
transcript.pyannote[868].speaker SPEAKER_01
transcript.pyannote[868].start 6029.78909375
transcript.pyannote[868].end 6030.39659375
transcript.pyannote[869].speaker SPEAKER_01
transcript.pyannote[869].start 6034.00784375
transcript.pyannote[869].end 6035.86409375
transcript.pyannote[870].speaker SPEAKER_01
transcript.pyannote[870].start 6036.16784375
transcript.pyannote[870].end 6039.86346875
transcript.pyannote[871].speaker SPEAKER_01
transcript.pyannote[871].start 6039.88034375
transcript.pyannote[871].end 6040.31909375
transcript.pyannote[872].speaker SPEAKER_01
transcript.pyannote[872].start 6042.24284375
transcript.pyannote[872].end 6042.25971875
transcript.pyannote[873].speaker SPEAKER_14
transcript.pyannote[873].start 6042.25971875
transcript.pyannote[873].end 6043.42409375
transcript.pyannote[874].speaker SPEAKER_14
transcript.pyannote[874].start 6044.97659375
transcript.pyannote[874].end 6046.12409375
transcript.pyannote[875].speaker SPEAKER_14
transcript.pyannote[875].start 6046.83284375
transcript.pyannote[875].end 6050.59596875
transcript.pyannote[876].speaker SPEAKER_14
transcript.pyannote[876].start 6050.86596875
transcript.pyannote[876].end 6053.02596875
transcript.pyannote[877].speaker SPEAKER_04
transcript.pyannote[877].start 6053.02596875
transcript.pyannote[877].end 6054.42659375
transcript.pyannote[878].speaker SPEAKER_14
transcript.pyannote[878].start 6054.81471875
transcript.pyannote[878].end 6054.83159375
transcript.pyannote[879].speaker SPEAKER_04
transcript.pyannote[879].start 6054.83159375
transcript.pyannote[879].end 6055.40534375
transcript.pyannote[880].speaker SPEAKER_04
transcript.pyannote[880].start 6056.19846875
transcript.pyannote[880].end 6058.84784375
transcript.pyannote[881].speaker SPEAKER_18
transcript.pyannote[881].start 6058.93221875
transcript.pyannote[881].end 6059.37096875
transcript.pyannote[882].speaker SPEAKER_04
transcript.pyannote[882].start 6059.59034375
transcript.pyannote[882].end 6063.33659375
transcript.pyannote[883].speaker SPEAKER_04
transcript.pyannote[883].start 6063.55596875
transcript.pyannote[883].end 6064.36596875
transcript.pyannote[884].speaker SPEAKER_04
transcript.pyannote[884].start 6064.90596875
transcript.pyannote[884].end 6065.51346875
transcript.pyannote[885].speaker SPEAKER_04
transcript.pyannote[885].start 6066.00284375
transcript.pyannote[885].end 6066.42471875
transcript.pyannote[886].speaker SPEAKER_04
transcript.pyannote[886].start 6067.20096875
transcript.pyannote[886].end 6067.89284375
transcript.pyannote[887].speaker SPEAKER_04
transcript.pyannote[887].start 6067.97721875
transcript.pyannote[887].end 6069.17534375
transcript.pyannote[888].speaker SPEAKER_04
transcript.pyannote[888].start 6069.59721875
transcript.pyannote[888].end 6070.40721875
transcript.pyannote[889].speaker SPEAKER_04
transcript.pyannote[889].start 6071.36909375
transcript.pyannote[889].end 6072.16221875
transcript.pyannote[890].speaker SPEAKER_04
transcript.pyannote[890].start 6072.95534375
transcript.pyannote[890].end 6074.37284375
transcript.pyannote[891].speaker SPEAKER_04
transcript.pyannote[891].start 6074.60909375
transcript.pyannote[891].end 6076.41471875
transcript.pyannote[892].speaker SPEAKER_04
transcript.pyannote[892].start 6077.17409375
transcript.pyannote[892].end 6083.41784375
transcript.pyannote[893].speaker SPEAKER_04
transcript.pyannote[893].start 6083.83971875
transcript.pyannote[893].end 6086.10096875
transcript.pyannote[894].speaker SPEAKER_04
transcript.pyannote[894].start 6086.50596875
transcript.pyannote[894].end 6087.75471875
transcript.pyannote[895].speaker SPEAKER_04
transcript.pyannote[895].start 6088.29471875
transcript.pyannote[895].end 6090.31971875
transcript.pyannote[896].speaker SPEAKER_04
transcript.pyannote[896].start 6091.06221875
transcript.pyannote[896].end 6093.07034375
transcript.pyannote[897].speaker SPEAKER_04
transcript.pyannote[897].start 6093.23909375
transcript.pyannote[897].end 6093.99846875
transcript.pyannote[898].speaker SPEAKER_14
transcript.pyannote[898].start 6093.99846875
transcript.pyannote[898].end 6094.01534375
transcript.pyannote[899].speaker SPEAKER_04
transcript.pyannote[899].start 6094.45409375
transcript.pyannote[899].end 6094.97721875
transcript.pyannote[900].speaker SPEAKER_14
transcript.pyannote[900].start 6094.97721875
transcript.pyannote[900].end 6095.70284375
transcript.pyannote[901].speaker SPEAKER_14
transcript.pyannote[901].start 6095.92221875
transcript.pyannote[901].end 6098.99346875
transcript.pyannote[902].speaker SPEAKER_14
transcript.pyannote[902].start 6099.39846875
transcript.pyannote[902].end 6106.24971875
transcript.pyannote[903].speaker SPEAKER_04
transcript.pyannote[903].start 6103.75221875
transcript.pyannote[903].end 6104.24159375
transcript.pyannote[904].speaker SPEAKER_14
transcript.pyannote[904].start 6106.65471875
transcript.pyannote[904].end 6110.62034375
transcript.pyannote[905].speaker SPEAKER_14
transcript.pyannote[905].start 6110.68784375
transcript.pyannote[905].end 6114.40034375
transcript.pyannote[906].speaker SPEAKER_14
transcript.pyannote[906].start 6114.61971875
transcript.pyannote[906].end 6116.64471875
transcript.pyannote[907].speaker SPEAKER_14
transcript.pyannote[907].start 6117.08346875
transcript.pyannote[907].end 6121.69034375
transcript.pyannote[908].speaker SPEAKER_14
transcript.pyannote[908].start 6121.85909375
transcript.pyannote[908].end 6124.62659375
transcript.pyannote[909].speaker SPEAKER_14
transcript.pyannote[909].start 6124.91346875
transcript.pyannote[909].end 6128.54159375
transcript.pyannote[910].speaker SPEAKER_15
transcript.pyannote[910].start 6126.19596875
transcript.pyannote[910].end 6126.85409375
transcript.pyannote[911].speaker SPEAKER_04
transcript.pyannote[911].start 6126.85409375
transcript.pyannote[911].end 6126.87096875
transcript.pyannote[912].speaker SPEAKER_14
transcript.pyannote[912].start 6129.67221875
transcript.pyannote[912].end 6132.08534375
transcript.pyannote[913].speaker SPEAKER_14
transcript.pyannote[913].start 6132.20346875
transcript.pyannote[913].end 6134.07659375
transcript.pyannote[914].speaker SPEAKER_14
transcript.pyannote[914].start 6134.54909375
transcript.pyannote[914].end 6135.71346875
transcript.pyannote[915].speaker SPEAKER_14
transcript.pyannote[915].start 6136.18596875
transcript.pyannote[915].end 6136.65846875
transcript.pyannote[916].speaker SPEAKER_14
transcript.pyannote[916].start 6137.06346875
transcript.pyannote[916].end 6137.56971875
transcript.pyannote[917].speaker SPEAKER_14
transcript.pyannote[917].start 6138.04221875
transcript.pyannote[917].end 6143.99909375
transcript.pyannote[918].speaker SPEAKER_04
transcript.pyannote[918].start 6140.75909375
transcript.pyannote[918].end 6141.31596875
transcript.pyannote[919].speaker SPEAKER_04
transcript.pyannote[919].start 6143.32409375
transcript.pyannote[919].end 6144.28596875
transcript.pyannote[920].speaker SPEAKER_14
transcript.pyannote[920].start 6144.99471875
transcript.pyannote[920].end 6146.90159375
transcript.pyannote[921].speaker SPEAKER_01
transcript.pyannote[921].start 6150.76596875
transcript.pyannote[921].end 6153.63471875
transcript.pyannote[922].speaker SPEAKER_01
transcript.pyannote[922].start 6155.62596875
transcript.pyannote[922].end 6156.25034375
transcript.pyannote[923].speaker SPEAKER_08
transcript.pyannote[923].start 6168.60284375
transcript.pyannote[923].end 6170.23971875
transcript.pyannote[924].speaker SPEAKER_08
transcript.pyannote[924].start 6171.45471875
transcript.pyannote[924].end 6172.26471875
transcript.pyannote[925].speaker SPEAKER_08
transcript.pyannote[925].start 6176.53409375
transcript.pyannote[925].end 6189.00471875
transcript.pyannote[926].speaker SPEAKER_25
transcript.pyannote[926].start 6189.35909375
transcript.pyannote[926].end 6196.78409375
transcript.pyannote[927].speaker SPEAKER_08
transcript.pyannote[927].start 6192.76784375
transcript.pyannote[927].end 6193.08846875
transcript.pyannote[928].speaker SPEAKER_08
transcript.pyannote[928].start 6195.77159375
transcript.pyannote[928].end 6197.49284375
transcript.pyannote[929].speaker SPEAKER_08
transcript.pyannote[929].start 6197.50971875
transcript.pyannote[929].end 6197.52659375
transcript.pyannote[930].speaker SPEAKER_25
transcript.pyannote[930].start 6197.56034375
transcript.pyannote[930].end 6199.93971875
transcript.pyannote[931].speaker SPEAKER_08
transcript.pyannote[931].start 6197.61096875
transcript.pyannote[931].end 6198.10034375
transcript.pyannote[932].speaker SPEAKER_08
transcript.pyannote[932].start 6199.56846875
transcript.pyannote[932].end 6239.49471875
transcript.pyannote[933].speaker SPEAKER_13
transcript.pyannote[933].start 6221.20221875
transcript.pyannote[933].end 6221.75909375
transcript.pyannote[934].speaker SPEAKER_15
transcript.pyannote[934].start 6221.75909375
transcript.pyannote[934].end 6221.77596875
transcript.pyannote[935].speaker SPEAKER_25
transcript.pyannote[935].start 6239.61284375
transcript.pyannote[935].end 6253.31534375
transcript.pyannote[936].speaker SPEAKER_08
transcript.pyannote[936].start 6241.31721875
transcript.pyannote[936].end 6241.68846875
transcript.pyannote[937].speaker SPEAKER_08
transcript.pyannote[937].start 6245.78909375
transcript.pyannote[937].end 6247.02096875
transcript.pyannote[938].speaker SPEAKER_08
transcript.pyannote[938].start 6249.34971875
transcript.pyannote[938].end 6251.00346875
transcript.pyannote[939].speaker SPEAKER_08
transcript.pyannote[939].start 6251.20596875
transcript.pyannote[939].end 6328.03784375
transcript.pyannote[940].speaker SPEAKER_25
transcript.pyannote[940].start 6253.92284375
transcript.pyannote[940].end 6255.08721875
transcript.pyannote[941].speaker SPEAKER_25
transcript.pyannote[941].start 6256.01534375
transcript.pyannote[941].end 6257.73659375
transcript.pyannote[942].speaker SPEAKER_25
transcript.pyannote[942].start 6329.38784375
transcript.pyannote[942].end 6352.13534375
transcript.pyannote[943].speaker SPEAKER_18
transcript.pyannote[943].start 6335.51346875
transcript.pyannote[943].end 6335.54721875
transcript.pyannote[944].speaker SPEAKER_18
transcript.pyannote[944].start 6341.45346875
transcript.pyannote[944].end 6341.99346875
transcript.pyannote[945].speaker SPEAKER_08
transcript.pyannote[945].start 6347.59596875
transcript.pyannote[945].end 6348.64221875
transcript.pyannote[946].speaker SPEAKER_08
transcript.pyannote[946].start 6351.59534375
transcript.pyannote[946].end 6363.12096875
transcript.pyannote[947].speaker SPEAKER_25
transcript.pyannote[947].start 6363.62721875
transcript.pyannote[947].end 6370.73159375
transcript.pyannote[948].speaker SPEAKER_08
transcript.pyannote[948].start 6366.71534375
transcript.pyannote[948].end 6367.10346875
transcript.pyannote[949].speaker SPEAKER_08
transcript.pyannote[949].start 6367.99784375
transcript.pyannote[949].end 6368.31846875
transcript.pyannote[950].speaker SPEAKER_08
transcript.pyannote[950].start 6369.88784375
transcript.pyannote[950].end 6373.78596875
transcript.pyannote[951].speaker SPEAKER_25
transcript.pyannote[951].start 6373.26284375
transcript.pyannote[951].end 6380.53596875
transcript.pyannote[952].speaker SPEAKER_08
transcript.pyannote[952].start 6375.72659375
transcript.pyannote[952].end 6376.08096875
transcript.pyannote[953].speaker SPEAKER_08
transcript.pyannote[953].start 6377.14409375
transcript.pyannote[953].end 6396.97221875
transcript.pyannote[954].speaker SPEAKER_25
transcript.pyannote[954].start 6397.49534375
transcript.pyannote[954].end 6407.51909375
transcript.pyannote[955].speaker SPEAKER_24
transcript.pyannote[955].start 6404.02596875
transcript.pyannote[955].end 6404.34659375
transcript.pyannote[956].speaker SPEAKER_25
transcript.pyannote[956].start 6407.85659375
transcript.pyannote[956].end 6425.82846875
transcript.pyannote[957].speaker SPEAKER_24
transcript.pyannote[957].start 6411.68721875
transcript.pyannote[957].end 6412.04159375
transcript.pyannote[958].speaker SPEAKER_24
transcript.pyannote[958].start 6415.72034375
transcript.pyannote[958].end 6416.07471875
transcript.pyannote[959].speaker SPEAKER_00
transcript.pyannote[959].start 6416.07471875
transcript.pyannote[959].end 6416.12534375
transcript.pyannote[960].speaker SPEAKER_24
transcript.pyannote[960].start 6416.83409375
transcript.pyannote[960].end 6416.96909375
transcript.pyannote[961].speaker SPEAKER_08
transcript.pyannote[961].start 6416.96909375
transcript.pyannote[961].end 6417.10409375
transcript.pyannote[962].speaker SPEAKER_08
transcript.pyannote[962].start 6419.11221875
transcript.pyannote[962].end 6419.58471875
transcript.pyannote[963].speaker SPEAKER_08
transcript.pyannote[963].start 6420.52971875
transcript.pyannote[963].end 6421.77846875
transcript.pyannote[964].speaker SPEAKER_08
transcript.pyannote[964].start 6424.05659375
transcript.pyannote[964].end 6424.59659375
transcript.pyannote[965].speaker SPEAKER_08
transcript.pyannote[965].start 6425.33909375
transcript.pyannote[965].end 6426.52034375
transcript.pyannote[966].speaker SPEAKER_25
transcript.pyannote[966].start 6427.00971875
transcript.pyannote[966].end 6431.09346875
transcript.pyannote[967].speaker SPEAKER_08
transcript.pyannote[967].start 6430.75596875
transcript.pyannote[967].end 6440.64471875
transcript.pyannote[968].speaker SPEAKER_25
transcript.pyannote[968].start 6433.92846875
transcript.pyannote[968].end 6434.92409375
transcript.pyannote[969].speaker SPEAKER_23
transcript.pyannote[969].start 6434.92409375
transcript.pyannote[969].end 6434.94096875
transcript.pyannote[970].speaker SPEAKER_18
transcript.pyannote[970].start 6440.76284375
transcript.pyannote[970].end 6441.64034375
transcript.pyannote[971].speaker SPEAKER_08
transcript.pyannote[971].start 6443.09159375
transcript.pyannote[971].end 6447.39471875
transcript.pyannote[972].speaker SPEAKER_25
transcript.pyannote[972].start 6448.22159375
transcript.pyannote[972].end 6454.33034375
transcript.pyannote[973].speaker SPEAKER_08
transcript.pyannote[973].start 6453.63846875
transcript.pyannote[973].end 6459.89909375
transcript.pyannote[974].speaker SPEAKER_25
transcript.pyannote[974].start 6457.60409375
transcript.pyannote[974].end 6458.59971875
transcript.pyannote[975].speaker SPEAKER_25
transcript.pyannote[975].start 6458.86971875
transcript.pyannote[975].end 6461.02971875
transcript.pyannote[976].speaker SPEAKER_08
transcript.pyannote[976].start 6460.37159375
transcript.pyannote[976].end 6465.38346875
transcript.pyannote[977].speaker SPEAKER_25
transcript.pyannote[977].start 6465.67034375
transcript.pyannote[977].end 6470.69909375
transcript.pyannote[978].speaker SPEAKER_08
transcript.pyannote[978].start 6466.69971875
transcript.pyannote[978].end 6467.17221875
transcript.pyannote[979].speaker SPEAKER_08
transcript.pyannote[979].start 6467.72909375
transcript.pyannote[979].end 6468.11721875
transcript.pyannote[980].speaker SPEAKER_08
transcript.pyannote[980].start 6470.80034375
transcript.pyannote[980].end 6475.54221875
transcript.pyannote[981].speaker SPEAKER_25
transcript.pyannote[981].start 6474.10784375
transcript.pyannote[981].end 6474.52971875
transcript.pyannote[982].speaker SPEAKER_08
transcript.pyannote[982].start 6475.76159375
transcript.pyannote[982].end 6485.02596875
transcript.pyannote[983].speaker SPEAKER_08
transcript.pyannote[983].start 6486.32534375
transcript.pyannote[983].end 6506.81159375
transcript.pyannote[984].speaker SPEAKER_25
transcript.pyannote[984].start 6507.14909375
transcript.pyannote[984].end 6531.04409375
transcript.pyannote[985].speaker SPEAKER_24
transcript.pyannote[985].start 6516.48096875
transcript.pyannote[985].end 6516.81846875
transcript.pyannote[986].speaker SPEAKER_00
transcript.pyannote[986].start 6516.81846875
transcript.pyannote[986].end 6516.86909375
transcript.pyannote[987].speaker SPEAKER_24
transcript.pyannote[987].start 6517.89846875
transcript.pyannote[987].end 6518.25284375
transcript.pyannote[988].speaker SPEAKER_00
transcript.pyannote[988].start 6518.25284375
transcript.pyannote[988].end 6518.38784375
transcript.pyannote[989].speaker SPEAKER_00
transcript.pyannote[989].start 6520.91909375
transcript.pyannote[989].end 6521.45909375
transcript.pyannote[990].speaker SPEAKER_08
transcript.pyannote[990].start 6530.41971875
transcript.pyannote[990].end 6543.27846875
transcript.pyannote[991].speaker SPEAKER_05
transcript.pyannote[991].start 6539.76846875
transcript.pyannote[991].end 6541.03409375
transcript.pyannote[992].speaker SPEAKER_25
transcript.pyannote[992].start 6541.03409375
transcript.pyannote[992].end 6542.06346875
transcript.pyannote[993].speaker SPEAKER_05
transcript.pyannote[993].start 6542.06346875
transcript.pyannote[993].end 6542.33346875
transcript.pyannote[994].speaker SPEAKER_25
transcript.pyannote[994].start 6543.21096875
transcript.pyannote[994].end 6543.61596875
transcript.pyannote[995].speaker SPEAKER_08
transcript.pyannote[995].start 6543.61596875
transcript.pyannote[995].end 6548.30721875
transcript.pyannote[996].speaker SPEAKER_25
transcript.pyannote[996].start 6549.06659375
transcript.pyannote[996].end 6551.64846875
transcript.pyannote[997].speaker SPEAKER_08
transcript.pyannote[997].start 6551.17596875
transcript.pyannote[997].end 6552.00284375
transcript.pyannote[998].speaker SPEAKER_25
transcript.pyannote[998].start 6552.05346875
transcript.pyannote[998].end 6553.85909375
transcript.pyannote[999].speaker SPEAKER_08
transcript.pyannote[999].start 6553.58909375
transcript.pyannote[999].end 6576.37034375
transcript.pyannote[1000].speaker SPEAKER_25
transcript.pyannote[1000].start 6576.82596875
transcript.pyannote[1000].end 6586.98471875
transcript.pyannote[1001].speaker SPEAKER_08
transcript.pyannote[1001].start 6580.96034375
transcript.pyannote[1001].end 6581.39909375
transcript.pyannote[1002].speaker SPEAKER_08
transcript.pyannote[1002].start 6583.79534375
transcript.pyannote[1002].end 6584.90909375
transcript.pyannote[1003].speaker SPEAKER_08
transcript.pyannote[1003].start 6586.68096875
transcript.pyannote[1003].end 6601.51409375
transcript.pyannote[1004].speaker SPEAKER_25
transcript.pyannote[1004].start 6588.92534375
transcript.pyannote[1004].end 6589.36409375
transcript.pyannote[1005].speaker SPEAKER_18
transcript.pyannote[1005].start 6597.64971875
transcript.pyannote[1005].end 6597.66659375
transcript.pyannote[1006].speaker SPEAKER_25
transcript.pyannote[1006].start 6597.66659375
transcript.pyannote[1006].end 6598.10534375
transcript.pyannote[1007].speaker SPEAKER_25
transcript.pyannote[1007].start 6603.20159375
transcript.pyannote[1007].end 6620.56596875
transcript.pyannote[1008].speaker SPEAKER_08
transcript.pyannote[1008].start 6611.38596875
transcript.pyannote[1008].end 6611.80784375
transcript.pyannote[1009].speaker SPEAKER_08
transcript.pyannote[1009].start 6613.25909375
transcript.pyannote[1009].end 6613.78221875
transcript.pyannote[1010].speaker SPEAKER_08
transcript.pyannote[1010].start 6615.72284375
transcript.pyannote[1010].end 6636.51284375
transcript.pyannote[1011].speaker SPEAKER_25
transcript.pyannote[1011].start 6637.05284375
transcript.pyannote[1011].end 6640.00596875
transcript.pyannote[1012].speaker SPEAKER_08
transcript.pyannote[1012].start 6639.21284375
transcript.pyannote[1012].end 6642.04784375
transcript.pyannote[1013].speaker SPEAKER_04
transcript.pyannote[1013].start 6644.34284375
transcript.pyannote[1013].end 6644.35971875
transcript.pyannote[1014].speaker SPEAKER_25
transcript.pyannote[1014].start 6644.35971875
transcript.pyannote[1014].end 6644.69721875
transcript.pyannote[1015].speaker SPEAKER_08
transcript.pyannote[1015].start 6644.69721875
transcript.pyannote[1015].end 6644.96721875
transcript.pyannote[1016].speaker SPEAKER_04
transcript.pyannote[1016].start 6644.96721875
transcript.pyannote[1016].end 6645.03471875
transcript.pyannote[1017].speaker SPEAKER_08
transcript.pyannote[1017].start 6645.03471875
transcript.pyannote[1017].end 6645.06846875
transcript.pyannote[1018].speaker SPEAKER_04
transcript.pyannote[1018].start 6645.06846875
transcript.pyannote[1018].end 6645.11909375
transcript.pyannote[1019].speaker SPEAKER_08
transcript.pyannote[1019].start 6653.13471875
transcript.pyannote[1019].end 6659.51346875
transcript.pyannote[1020].speaker SPEAKER_05
transcript.pyannote[1020].start 6653.96159375
transcript.pyannote[1020].end 6654.33284375
transcript.pyannote[1021].speaker SPEAKER_05
transcript.pyannote[1021].start 6659.58096875
transcript.pyannote[1021].end 6664.06971875
transcript.pyannote[1022].speaker SPEAKER_08
transcript.pyannote[1022].start 6663.69846875
transcript.pyannote[1022].end 6690.22596875
transcript.pyannote[1023].speaker SPEAKER_05
transcript.pyannote[1023].start 6671.76471875
transcript.pyannote[1023].end 6672.52409375
transcript.pyannote[1024].speaker SPEAKER_05
transcript.pyannote[1024].start 6690.22596875
transcript.pyannote[1024].end 6691.96409375
transcript.pyannote[1025].speaker SPEAKER_08
transcript.pyannote[1025].start 6691.47471875
transcript.pyannote[1025].end 6691.81221875
transcript.pyannote[1026].speaker SPEAKER_08
transcript.pyannote[1026].start 6691.96409375
transcript.pyannote[1026].end 6692.03159375
transcript.pyannote[1027].speaker SPEAKER_05
transcript.pyannote[1027].start 6692.03159375
transcript.pyannote[1027].end 6708.46784375
transcript.pyannote[1028].speaker SPEAKER_08
transcript.pyannote[1028].start 6692.95971875
transcript.pyannote[1028].end 6693.49971875
transcript.pyannote[1029].speaker SPEAKER_08
transcript.pyannote[1029].start 6695.79471875
transcript.pyannote[1029].end 6695.96346875
transcript.pyannote[1030].speaker SPEAKER_06
transcript.pyannote[1030].start 6695.96346875
transcript.pyannote[1030].end 6696.16596875
transcript.pyannote[1031].speaker SPEAKER_08
transcript.pyannote[1031].start 6706.17284375
transcript.pyannote[1031].end 6706.35846875
transcript.pyannote[1032].speaker SPEAKER_08
transcript.pyannote[1032].start 6707.32034375
transcript.pyannote[1032].end 6711.53909375
transcript.pyannote[1033].speaker SPEAKER_05
transcript.pyannote[1033].start 6710.66159375
transcript.pyannote[1033].end 6737.86409375
transcript.pyannote[1034].speaker SPEAKER_08
transcript.pyannote[1034].start 6720.34784375
transcript.pyannote[1034].end 6721.05659375
transcript.pyannote[1035].speaker SPEAKER_08
transcript.pyannote[1035].start 6721.76534375
transcript.pyannote[1035].end 6722.62596875
transcript.pyannote[1036].speaker SPEAKER_08
transcript.pyannote[1036].start 6723.68909375
transcript.pyannote[1036].end 6724.17846875
transcript.pyannote[1037].speaker SPEAKER_06
transcript.pyannote[1037].start 6732.26159375
transcript.pyannote[1037].end 6732.59909375
transcript.pyannote[1038].speaker SPEAKER_08
transcript.pyannote[1038].start 6734.20221875
transcript.pyannote[1038].end 6734.25284375
transcript.pyannote[1039].speaker SPEAKER_08
transcript.pyannote[1039].start 6735.97409375
transcript.pyannote[1039].end 6744.31034375
transcript.pyannote[1040].speaker SPEAKER_05
transcript.pyannote[1040].start 6741.59346875
transcript.pyannote[1040].end 6743.68596875
transcript.pyannote[1041].speaker SPEAKER_05
transcript.pyannote[1041].start 6743.80409375
transcript.pyannote[1041].end 6745.47471875
transcript.pyannote[1042].speaker SPEAKER_08
transcript.pyannote[1042].start 6744.78284375
transcript.pyannote[1042].end 6786.44721875
transcript.pyannote[1043].speaker SPEAKER_05
transcript.pyannote[1043].start 6748.64721875
transcript.pyannote[1043].end 6750.80721875
transcript.pyannote[1044].speaker SPEAKER_05
transcript.pyannote[1044].start 6753.15284375
transcript.pyannote[1044].end 6753.25409375
transcript.pyannote[1045].speaker SPEAKER_25
transcript.pyannote[1045].start 6786.29534375
transcript.pyannote[1045].end 6808.80659375
transcript.pyannote[1046].speaker SPEAKER_08
transcript.pyannote[1046].start 6787.22346875
transcript.pyannote[1046].end 6787.96596875
transcript.pyannote[1047].speaker SPEAKER_08
transcript.pyannote[1047].start 6791.39159375
transcript.pyannote[1047].end 6791.77971875
transcript.pyannote[1048].speaker SPEAKER_18
transcript.pyannote[1048].start 6791.77971875
transcript.pyannote[1048].end 6791.79659375
transcript.pyannote[1049].speaker SPEAKER_18
transcript.pyannote[1049].start 6794.51346875
transcript.pyannote[1049].end 6794.54721875
transcript.pyannote[1050].speaker SPEAKER_08
transcript.pyannote[1050].start 6794.54721875
transcript.pyannote[1050].end 6794.96909375
transcript.pyannote[1051].speaker SPEAKER_18
transcript.pyannote[1051].start 6794.96909375
transcript.pyannote[1051].end 6795.03659375
transcript.pyannote[1052].speaker SPEAKER_08
transcript.pyannote[1052].start 6795.03659375
transcript.pyannote[1052].end 6798.52971875
transcript.pyannote[1053].speaker SPEAKER_08
transcript.pyannote[1053].start 6798.56346875
transcript.pyannote[1053].end 6798.74909375
transcript.pyannote[1054].speaker SPEAKER_04
transcript.pyannote[1054].start 6798.74909375
transcript.pyannote[1054].end 6799.18784375
transcript.pyannote[1055].speaker SPEAKER_03
transcript.pyannote[1055].start 6799.18784375
transcript.pyannote[1055].end 6799.27221875
transcript.pyannote[1056].speaker SPEAKER_04
transcript.pyannote[1056].start 6799.27221875
transcript.pyannote[1056].end 6799.28909375
transcript.pyannote[1057].speaker SPEAKER_03
transcript.pyannote[1057].start 6799.28909375
transcript.pyannote[1057].end 6799.39034375
transcript.pyannote[1058].speaker SPEAKER_08
transcript.pyannote[1058].start 6799.39034375
transcript.pyannote[1058].end 6800.16659375
transcript.pyannote[1059].speaker SPEAKER_03
transcript.pyannote[1059].start 6800.62221875
transcript.pyannote[1059].end 6800.68971875
transcript.pyannote[1060].speaker SPEAKER_24
transcript.pyannote[1060].start 6800.68971875
transcript.pyannote[1060].end 6800.77409375
transcript.pyannote[1061].speaker SPEAKER_08
transcript.pyannote[1061].start 6807.89534375
transcript.pyannote[1061].end 6829.25909375
transcript.pyannote[1062].speaker SPEAKER_25
transcript.pyannote[1062].start 6813.24471875
transcript.pyannote[1062].end 6813.73409375
transcript.pyannote[1063].speaker SPEAKER_25
transcript.pyannote[1063].start 6815.79284375
transcript.pyannote[1063].end 6816.97409375
transcript.pyannote[1064].speaker SPEAKER_00
transcript.pyannote[1064].start 6816.97409375
transcript.pyannote[1064].end 6817.02471875
transcript.pyannote[1065].speaker SPEAKER_18
transcript.pyannote[1065].start 6817.02471875
transcript.pyannote[1065].end 6817.17659375
transcript.pyannote[1066].speaker SPEAKER_11
transcript.pyannote[1066].start 6817.17659375
transcript.pyannote[1066].end 6817.91909375
transcript.pyannote[1067].speaker SPEAKER_18
transcript.pyannote[1067].start 6817.91909375
transcript.pyannote[1067].end 6819.31971875
transcript.pyannote[1068].speaker SPEAKER_00
transcript.pyannote[1068].start 6819.31971875
transcript.pyannote[1068].end 6819.37034375
transcript.pyannote[1069].speaker SPEAKER_00
transcript.pyannote[1069].start 6820.09596875
transcript.pyannote[1069].end 6820.12971875
transcript.pyannote[1070].speaker SPEAKER_18
transcript.pyannote[1070].start 6820.12971875
transcript.pyannote[1070].end 6820.21409375
transcript.pyannote[1071].speaker SPEAKER_24
transcript.pyannote[1071].start 6820.21409375
transcript.pyannote[1071].end 6820.53471875
transcript.pyannote[1072].speaker SPEAKER_00
transcript.pyannote[1072].start 6820.53471875
transcript.pyannote[1072].end 6820.56846875
transcript.pyannote[1073].speaker SPEAKER_25
transcript.pyannote[1073].start 6825.51284375
transcript.pyannote[1073].end 6825.52971875
transcript.pyannote[1074].speaker SPEAKER_24
transcript.pyannote[1074].start 6825.52971875
transcript.pyannote[1074].end 6825.93471875
transcript.pyannote[1075].speaker SPEAKER_25
transcript.pyannote[1075].start 6829.42784375
transcript.pyannote[1075].end 6832.60034375
transcript.pyannote[1076].speaker SPEAKER_24
transcript.pyannote[1076].start 6829.74846875
transcript.pyannote[1076].end 6830.96346875
transcript.pyannote[1077].speaker SPEAKER_08
transcript.pyannote[1077].start 6830.96346875
transcript.pyannote[1077].end 6833.03909375
transcript.pyannote[1078].speaker SPEAKER_04
transcript.pyannote[1078].start 6832.60034375
transcript.pyannote[1078].end 6832.78596875
transcript.pyannote[1079].speaker SPEAKER_25
transcript.pyannote[1079].start 6832.78596875
transcript.pyannote[1079].end 6833.07284375
transcript.pyannote[1080].speaker SPEAKER_04
transcript.pyannote[1080].start 6833.03909375
transcript.pyannote[1080].end 6833.76471875
transcript.pyannote[1081].speaker SPEAKER_04
transcript.pyannote[1081].start 6834.72659375
transcript.pyannote[1081].end 6836.86971875
transcript.pyannote[1082].speaker SPEAKER_04
transcript.pyannote[1082].start 6837.57846875
transcript.pyannote[1082].end 6839.67096875
transcript.pyannote[1083].speaker SPEAKER_10
transcript.pyannote[1083].start 6853.47471875
transcript.pyannote[1083].end 6854.25096875
transcript.pyannote[1084].speaker SPEAKER_10
transcript.pyannote[1084].start 6854.67284375
transcript.pyannote[1084].end 6855.70221875
transcript.pyannote[1085].speaker SPEAKER_10
transcript.pyannote[1085].start 6856.36034375
transcript.pyannote[1085].end 6859.53284375
transcript.pyannote[1086].speaker SPEAKER_10
transcript.pyannote[1086].start 6860.02221875
transcript.pyannote[1086].end 6860.46096875
transcript.pyannote[1087].speaker SPEAKER_10
transcript.pyannote[1087].start 6861.00096875
transcript.pyannote[1087].end 6862.46909375
transcript.pyannote[1088].speaker SPEAKER_10
transcript.pyannote[1088].start 6862.75596875
transcript.pyannote[1088].end 6865.79346875
transcript.pyannote[1089].speaker SPEAKER_04
transcript.pyannote[1089].start 6862.80659375
transcript.pyannote[1089].end 6863.38034375
transcript.pyannote[1090].speaker SPEAKER_20
transcript.pyannote[1090].start 6863.38034375
transcript.pyannote[1090].end 6863.44784375
transcript.pyannote[1091].speaker SPEAKER_10
transcript.pyannote[1091].start 6867.02534375
transcript.pyannote[1091].end 6869.59034375
transcript.pyannote[1092].speaker SPEAKER_18
transcript.pyannote[1092].start 6868.52721875
transcript.pyannote[1092].end 6868.54409375
transcript.pyannote[1093].speaker SPEAKER_00
transcript.pyannote[1093].start 6868.54409375
transcript.pyannote[1093].end 6869.96159375
transcript.pyannote[1094].speaker SPEAKER_18
transcript.pyannote[1094].start 6869.96159375
transcript.pyannote[1094].end 6869.97846875
transcript.pyannote[1095].speaker SPEAKER_00
transcript.pyannote[1095].start 6869.97846875
transcript.pyannote[1095].end 6869.99534375
transcript.pyannote[1096].speaker SPEAKER_20
transcript.pyannote[1096].start 6869.99534375
transcript.pyannote[1096].end 6870.02909375
transcript.pyannote[1097].speaker SPEAKER_10
transcript.pyannote[1097].start 6870.02909375
transcript.pyannote[1097].end 6870.16409375
transcript.pyannote[1098].speaker SPEAKER_10
transcript.pyannote[1098].start 6871.56471875
transcript.pyannote[1098].end 6872.02034375
transcript.pyannote[1099].speaker SPEAKER_10
transcript.pyannote[1099].start 6873.01596875
transcript.pyannote[1099].end 6873.62346875
transcript.pyannote[1100].speaker SPEAKER_10
transcript.pyannote[1100].start 6873.91034375
transcript.pyannote[1100].end 6875.66534375
transcript.pyannote[1101].speaker SPEAKER_00
transcript.pyannote[1101].start 6873.92721875
transcript.pyannote[1101].end 6874.21409375
transcript.pyannote[1102].speaker SPEAKER_06
transcript.pyannote[1102].start 6874.21409375
transcript.pyannote[1102].end 6874.26471875
transcript.pyannote[1103].speaker SPEAKER_10
transcript.pyannote[1103].start 6875.76659375
transcript.pyannote[1103].end 6881.70659375
transcript.pyannote[1104].speaker SPEAKER_10
transcript.pyannote[1104].start 6882.02721875
transcript.pyannote[1104].end 6883.37721875
transcript.pyannote[1105].speaker SPEAKER_10
transcript.pyannote[1105].start 6883.78221875
transcript.pyannote[1105].end 6885.14909375
transcript.pyannote[1106].speaker SPEAKER_25
transcript.pyannote[1106].start 6886.09409375
transcript.pyannote[1106].end 6887.68034375
transcript.pyannote[1107].speaker SPEAKER_10
transcript.pyannote[1107].start 6887.42721875
transcript.pyannote[1107].end 6889.97534375
transcript.pyannote[1108].speaker SPEAKER_25
transcript.pyannote[1108].start 6889.73909375
transcript.pyannote[1108].end 6893.45159375
transcript.pyannote[1109].speaker SPEAKER_10
transcript.pyannote[1109].start 6891.88221875
transcript.pyannote[1109].end 6892.21971875
transcript.pyannote[1110].speaker SPEAKER_10
transcript.pyannote[1110].start 6892.57409375
transcript.pyannote[1110].end 6894.29534375
transcript.pyannote[1111].speaker SPEAKER_10
transcript.pyannote[1111].start 6894.59909375
transcript.pyannote[1111].end 6896.13471875
transcript.pyannote[1112].speaker SPEAKER_10
transcript.pyannote[1112].start 6896.82659375
transcript.pyannote[1112].end 6898.41284375
transcript.pyannote[1113].speaker SPEAKER_10
transcript.pyannote[1113].start 6899.02034375
transcript.pyannote[1113].end 6900.75846875
transcript.pyannote[1114].speaker SPEAKER_10
transcript.pyannote[1114].start 6900.99471875
transcript.pyannote[1114].end 6904.33596875
transcript.pyannote[1115].speaker SPEAKER_13
transcript.pyannote[1115].start 6903.98159375
transcript.pyannote[1115].end 6904.21784375
transcript.pyannote[1116].speaker SPEAKER_10
transcript.pyannote[1116].start 6904.62284375
transcript.pyannote[1116].end 6907.74471875
transcript.pyannote[1117].speaker SPEAKER_10
transcript.pyannote[1117].start 6908.25096875
transcript.pyannote[1117].end 6911.62596875
transcript.pyannote[1118].speaker SPEAKER_10
transcript.pyannote[1118].start 6912.08159375
transcript.pyannote[1118].end 6916.40159375
transcript.pyannote[1119].speaker SPEAKER_10
transcript.pyannote[1119].start 6916.57034375
transcript.pyannote[1119].end 6918.40971875
transcript.pyannote[1120].speaker SPEAKER_10
transcript.pyannote[1120].start 6919.94534375
transcript.pyannote[1120].end 6920.33346875
transcript.pyannote[1121].speaker SPEAKER_10
transcript.pyannote[1121].start 6921.66659375
transcript.pyannote[1121].end 6924.29909375
transcript.pyannote[1122].speaker SPEAKER_25
transcript.pyannote[1122].start 6924.48471875
transcript.pyannote[1122].end 6929.10846875
transcript.pyannote[1123].speaker SPEAKER_10
transcript.pyannote[1123].start 6929.05784375
transcript.pyannote[1123].end 6936.82034375
transcript.pyannote[1124].speaker SPEAKER_25
transcript.pyannote[1124].start 6934.40721875
transcript.pyannote[1124].end 6934.84596875
transcript.pyannote[1125].speaker SPEAKER_25
transcript.pyannote[1125].start 6937.78221875
transcript.pyannote[1125].end 6941.69721875
transcript.pyannote[1126].speaker SPEAKER_10
transcript.pyannote[1126].start 6941.44409375
transcript.pyannote[1126].end 6943.23284375
transcript.pyannote[1127].speaker SPEAKER_10
transcript.pyannote[1127].start 6944.05971875
transcript.pyannote[1127].end 6945.79784375
transcript.pyannote[1128].speaker SPEAKER_10
transcript.pyannote[1128].start 6946.81034375
transcript.pyannote[1128].end 6947.26596875
transcript.pyannote[1129].speaker SPEAKER_10
transcript.pyannote[1129].start 6947.36721875
transcript.pyannote[1129].end 6948.16034375
transcript.pyannote[1130].speaker SPEAKER_25
transcript.pyannote[1130].start 6948.97034375
transcript.pyannote[1130].end 6949.57784375
transcript.pyannote[1131].speaker SPEAKER_10
transcript.pyannote[1131].start 6949.57784375
transcript.pyannote[1131].end 6950.08409375
transcript.pyannote[1132].speaker SPEAKER_10
transcript.pyannote[1132].start 6950.10096875
transcript.pyannote[1132].end 6952.56471875
transcript.pyannote[1133].speaker SPEAKER_10
transcript.pyannote[1133].start 6952.86846875
transcript.pyannote[1133].end 6957.03659375
transcript.pyannote[1134].speaker SPEAKER_18
transcript.pyannote[1134].start 6957.55971875
transcript.pyannote[1134].end 6958.08284375
transcript.pyannote[1135].speaker SPEAKER_10
transcript.pyannote[1135].start 6957.81284375
transcript.pyannote[1135].end 6958.97721875
transcript.pyannote[1136].speaker SPEAKER_10
transcript.pyannote[1136].start 6959.36534375
transcript.pyannote[1136].end 6961.39034375
transcript.pyannote[1137].speaker SPEAKER_10
transcript.pyannote[1137].start 6961.60971875
transcript.pyannote[1137].end 6962.74034375
transcript.pyannote[1138].speaker SPEAKER_10
transcript.pyannote[1138].start 6963.06096875
transcript.pyannote[1138].end 6965.28846875
transcript.pyannote[1139].speaker SPEAKER_10
transcript.pyannote[1139].start 6965.42346875
transcript.pyannote[1139].end 6969.65909375
transcript.pyannote[1140].speaker SPEAKER_25
transcript.pyannote[1140].start 6971.24534375
transcript.pyannote[1140].end 6984.74534375
transcript.pyannote[1141].speaker SPEAKER_10
transcript.pyannote[1141].start 6974.78909375
transcript.pyannote[1141].end 6975.32909375
transcript.pyannote[1142].speaker SPEAKER_10
transcript.pyannote[1142].start 6981.72471875
transcript.pyannote[1142].end 6982.18034375
transcript.pyannote[1143].speaker SPEAKER_25
transcript.pyannote[1143].start 6984.77909375
transcript.pyannote[1143].end 6986.07846875
transcript.pyannote[1144].speaker SPEAKER_10
transcript.pyannote[1144].start 6985.58909375
transcript.pyannote[1144].end 6988.32284375
transcript.pyannote[1145].speaker SPEAKER_25
transcript.pyannote[1145].start 6988.32284375
transcript.pyannote[1145].end 6988.74471875
transcript.pyannote[1146].speaker SPEAKER_10
transcript.pyannote[1146].start 6989.48721875
transcript.pyannote[1146].end 6991.46159375
transcript.pyannote[1147].speaker SPEAKER_10
transcript.pyannote[1147].start 6992.17034375
transcript.pyannote[1147].end 6993.62159375
transcript.pyannote[1148].speaker SPEAKER_10
transcript.pyannote[1148].start 6993.82409375
transcript.pyannote[1148].end 6994.60034375
transcript.pyannote[1149].speaker SPEAKER_10
transcript.pyannote[1149].start 6995.29221875
transcript.pyannote[1149].end 6995.83221875
transcript.pyannote[1150].speaker SPEAKER_10
transcript.pyannote[1150].start 6996.55784375
transcript.pyannote[1150].end 6997.19909375
transcript.pyannote[1151].speaker SPEAKER_25
transcript.pyannote[1151].start 6997.60409375
transcript.pyannote[1151].end 7002.68346875
transcript.pyannote[1152].speaker SPEAKER_10
transcript.pyannote[1152].start 7002.16034375
transcript.pyannote[1152].end 7009.70346875
transcript.pyannote[1153].speaker SPEAKER_25
transcript.pyannote[1153].start 7007.18909375
transcript.pyannote[1153].end 7007.59409375
transcript.pyannote[1154].speaker SPEAKER_18
transcript.pyannote[1154].start 7007.59409375
transcript.pyannote[1154].end 7007.61096875
transcript.pyannote[1155].speaker SPEAKER_10
transcript.pyannote[1155].start 7010.34471875
transcript.pyannote[1155].end 7018.03971875
transcript.pyannote[1156].speaker SPEAKER_16
transcript.pyannote[1156].start 7012.48784375
transcript.pyannote[1156].end 7012.50471875
transcript.pyannote[1157].speaker SPEAKER_18
transcript.pyannote[1157].start 7012.50471875
transcript.pyannote[1157].end 7012.87596875
transcript.pyannote[1158].speaker SPEAKER_16
transcript.pyannote[1158].start 7012.87596875
transcript.pyannote[1158].end 7012.89284375
transcript.pyannote[1159].speaker SPEAKER_18
transcript.pyannote[1159].start 7014.19221875
transcript.pyannote[1159].end 7016.01471875
transcript.pyannote[1160].speaker SPEAKER_16
transcript.pyannote[1160].start 7016.01471875
transcript.pyannote[1160].end 7016.06534375
transcript.pyannote[1161].speaker SPEAKER_16
transcript.pyannote[1161].start 7018.03971875
transcript.pyannote[1161].end 7018.05659375
transcript.pyannote[1162].speaker SPEAKER_10
transcript.pyannote[1162].start 7018.05659375
transcript.pyannote[1162].end 7018.09034375
transcript.pyannote[1163].speaker SPEAKER_25
transcript.pyannote[1163].start 7018.09034375
transcript.pyannote[1163].end 7018.61346875
transcript.pyannote[1164].speaker SPEAKER_10
transcript.pyannote[1164].start 7018.10721875
transcript.pyannote[1164].end 7018.12409375
transcript.pyannote[1165].speaker SPEAKER_10
transcript.pyannote[1165].start 7018.32659375
transcript.pyannote[1165].end 7019.99721875
transcript.pyannote[1166].speaker SPEAKER_16
transcript.pyannote[1166].start 7018.61346875
transcript.pyannote[1166].end 7018.68096875
transcript.pyannote[1167].speaker SPEAKER_10
transcript.pyannote[1167].start 7020.30096875
transcript.pyannote[1167].end 7021.38096875
transcript.pyannote[1168].speaker SPEAKER_10
transcript.pyannote[1168].start 7021.68471875
transcript.pyannote[1168].end 7022.76471875
transcript.pyannote[1169].speaker SPEAKER_10
transcript.pyannote[1169].start 7023.20346875
transcript.pyannote[1169].end 7023.76034375
transcript.pyannote[1170].speaker SPEAKER_10
transcript.pyannote[1170].start 7023.77721875
transcript.pyannote[1170].end 7025.88659375
transcript.pyannote[1171].speaker SPEAKER_10
transcript.pyannote[1171].start 7026.12284375
transcript.pyannote[1171].end 7028.13096875
transcript.pyannote[1172].speaker SPEAKER_05
transcript.pyannote[1172].start 7028.36721875
transcript.pyannote[1172].end 7028.80596875
transcript.pyannote[1173].speaker SPEAKER_25
transcript.pyannote[1173].start 7028.80596875
transcript.pyannote[1173].end 7028.82284375
transcript.pyannote[1174].speaker SPEAKER_10
transcript.pyannote[1174].start 7028.90721875
transcript.pyannote[1174].end 7031.50596875
transcript.pyannote[1175].speaker SPEAKER_10
transcript.pyannote[1175].start 7031.87721875
transcript.pyannote[1175].end 7033.54784375
transcript.pyannote[1176].speaker SPEAKER_25
transcript.pyannote[1176].start 7033.91909375
transcript.pyannote[1176].end 7038.59346875
transcript.pyannote[1177].speaker SPEAKER_10
transcript.pyannote[1177].start 7033.96971875
transcript.pyannote[1177].end 7034.86409375
transcript.pyannote[1178].speaker SPEAKER_10
transcript.pyannote[1178].start 7038.12096875
transcript.pyannote[1178].end 7040.70284375
transcript.pyannote[1179].speaker SPEAKER_25
transcript.pyannote[1179].start 7040.31471875
transcript.pyannote[1179].end 7048.68471875
transcript.pyannote[1180].speaker SPEAKER_10
transcript.pyannote[1180].start 7048.09409375
transcript.pyannote[1180].end 7057.03784375
transcript.pyannote[1181].speaker SPEAKER_18
transcript.pyannote[1181].start 7057.22346875
transcript.pyannote[1181].end 7057.71284375
transcript.pyannote[1182].speaker SPEAKER_10
transcript.pyannote[1182].start 7057.47659375
transcript.pyannote[1182].end 7058.26971875
transcript.pyannote[1183].speaker SPEAKER_10
transcript.pyannote[1183].start 7058.53971875
transcript.pyannote[1183].end 7059.40034375
transcript.pyannote[1184].speaker SPEAKER_10
transcript.pyannote[1184].start 7059.72096875
transcript.pyannote[1184].end 7063.41659375
transcript.pyannote[1185].speaker SPEAKER_10
transcript.pyannote[1185].start 7063.85534375
transcript.pyannote[1185].end 7075.43159375
transcript.pyannote[1186].speaker SPEAKER_10
transcript.pyannote[1186].start 7076.03909375
transcript.pyannote[1186].end 7076.95034375
transcript.pyannote[1187].speaker SPEAKER_10
transcript.pyannote[1187].start 7077.43971875
transcript.pyannote[1187].end 7080.47721875
transcript.pyannote[1188].speaker SPEAKER_10
transcript.pyannote[1188].start 7080.93284375
transcript.pyannote[1188].end 7084.57784375
transcript.pyannote[1189].speaker SPEAKER_10
transcript.pyannote[1189].start 7085.72534375
transcript.pyannote[1189].end 7086.26534375
transcript.pyannote[1190].speaker SPEAKER_25
transcript.pyannote[1190].start 7087.07534375
transcript.pyannote[1190].end 7090.34909375
transcript.pyannote[1191].speaker SPEAKER_10
transcript.pyannote[1191].start 7089.40409375
transcript.pyannote[1191].end 7089.87659375
transcript.pyannote[1192].speaker SPEAKER_10
transcript.pyannote[1192].start 7090.07909375
transcript.pyannote[1192].end 7091.41221875
transcript.pyannote[1193].speaker SPEAKER_10
transcript.pyannote[1193].start 7091.53034375
transcript.pyannote[1193].end 7095.73221875
transcript.pyannote[1194].speaker SPEAKER_10
transcript.pyannote[1194].start 7096.06971875
transcript.pyannote[1194].end 7102.63409375
transcript.pyannote[1195].speaker SPEAKER_10
transcript.pyannote[1195].start 7102.90409375
transcript.pyannote[1195].end 7103.51159375
transcript.pyannote[1196].speaker SPEAKER_10
transcript.pyannote[1196].start 7103.89971875
transcript.pyannote[1196].end 7108.25346875
transcript.pyannote[1197].speaker SPEAKER_10
transcript.pyannote[1197].start 7108.64159375
transcript.pyannote[1197].end 7111.89846875
transcript.pyannote[1198].speaker SPEAKER_10
transcript.pyannote[1198].start 7112.35409375
transcript.pyannote[1198].end 7113.41721875
transcript.pyannote[1199].speaker SPEAKER_10
transcript.pyannote[1199].start 7113.63659375
transcript.pyannote[1199].end 7114.64909375
transcript.pyannote[1200].speaker SPEAKER_10
transcript.pyannote[1200].start 7115.08784375
transcript.pyannote[1200].end 7117.90596875
transcript.pyannote[1201].speaker SPEAKER_10
transcript.pyannote[1201].start 7118.39534375
transcript.pyannote[1201].end 7121.19659375
transcript.pyannote[1202].speaker SPEAKER_10
transcript.pyannote[1202].start 7121.36534375
transcript.pyannote[1202].end 7122.49596875
transcript.pyannote[1203].speaker SPEAKER_10
transcript.pyannote[1203].start 7124.45346875
transcript.pyannote[1203].end 7125.17909375
transcript.pyannote[1204].speaker SPEAKER_25
transcript.pyannote[1204].start 7124.52096875
transcript.pyannote[1204].end 7124.80784375
transcript.pyannote[1205].speaker SPEAKER_25
transcript.pyannote[1205].start 7125.61784375
transcript.pyannote[1205].end 7126.64721875
transcript.pyannote[1206].speaker SPEAKER_25
transcript.pyannote[1206].start 7127.23784375
transcript.pyannote[1206].end 7131.23721875
transcript.pyannote[1207].speaker SPEAKER_10
transcript.pyannote[1207].start 7130.03909375
transcript.pyannote[1207].end 7131.13596875
transcript.pyannote[1208].speaker SPEAKER_25
transcript.pyannote[1208].start 7131.52409375
transcript.pyannote[1208].end 7140.40034375
transcript.pyannote[1209].speaker SPEAKER_10
transcript.pyannote[1209].start 7133.98784375
transcript.pyannote[1209].end 7134.17346875
transcript.pyannote[1210].speaker SPEAKER_24
transcript.pyannote[1210].start 7134.17346875
transcript.pyannote[1210].end 7134.30846875
transcript.pyannote[1211].speaker SPEAKER_10
transcript.pyannote[1211].start 7136.97471875
transcript.pyannote[1211].end 7138.61159375
transcript.pyannote[1212].speaker SPEAKER_10
transcript.pyannote[1212].start 7139.21909375
transcript.pyannote[1212].end 7142.44221875
transcript.pyannote[1213].speaker SPEAKER_25
transcript.pyannote[1213].start 7142.47596875
transcript.pyannote[1213].end 7143.65721875
transcript.pyannote[1214].speaker SPEAKER_10
transcript.pyannote[1214].start 7143.03284375
transcript.pyannote[1214].end 7145.22659375
transcript.pyannote[1215].speaker SPEAKER_10
transcript.pyannote[1215].start 7145.59784375
transcript.pyannote[1215].end 7148.65221875
transcript.pyannote[1216].speaker SPEAKER_10
transcript.pyannote[1216].start 7149.61409375
transcript.pyannote[1216].end 7157.24159375
transcript.pyannote[1217].speaker SPEAKER_10
transcript.pyannote[1217].start 7157.66346875
transcript.pyannote[1217].end 7159.82346875
transcript.pyannote[1218].speaker SPEAKER_10
transcript.pyannote[1218].start 7160.11034375
transcript.pyannote[1218].end 7163.38409375
transcript.pyannote[1219].speaker SPEAKER_10
transcript.pyannote[1219].start 7164.44721875
transcript.pyannote[1219].end 7165.00409375
transcript.pyannote[1220].speaker SPEAKER_10
transcript.pyannote[1220].start 7166.03346875
transcript.pyannote[1220].end 7167.02909375
transcript.pyannote[1221].speaker SPEAKER_25
transcript.pyannote[1221].start 7168.15971875
transcript.pyannote[1221].end 7169.23971875
transcript.pyannote[1222].speaker SPEAKER_10
transcript.pyannote[1222].start 7169.02034375
transcript.pyannote[1222].end 7170.31971875
transcript.pyannote[1223].speaker SPEAKER_10
transcript.pyannote[1223].start 7170.48846875
transcript.pyannote[1223].end 7171.31534375
transcript.pyannote[1224].speaker SPEAKER_10
transcript.pyannote[1224].start 7171.61909375
transcript.pyannote[1224].end 7172.42909375
transcript.pyannote[1225].speaker SPEAKER_10
transcript.pyannote[1225].start 7172.63159375
transcript.pyannote[1225].end 7173.64409375
transcript.pyannote[1226].speaker SPEAKER_10
transcript.pyannote[1226].start 7173.98159375
transcript.pyannote[1226].end 7174.48784375
transcript.pyannote[1227].speaker SPEAKER_10
transcript.pyannote[1227].start 7174.80846875
transcript.pyannote[1227].end 7177.42409375
transcript.pyannote[1228].speaker SPEAKER_10
transcript.pyannote[1228].start 7178.03159375
transcript.pyannote[1228].end 7179.71909375
transcript.pyannote[1229].speaker SPEAKER_10
transcript.pyannote[1229].start 7179.98909375
transcript.pyannote[1229].end 7180.76534375
transcript.pyannote[1230].speaker SPEAKER_10
transcript.pyannote[1230].start 7180.96784375
transcript.pyannote[1230].end 7182.18284375
transcript.pyannote[1231].speaker SPEAKER_10
transcript.pyannote[1231].start 7182.73971875
transcript.pyannote[1231].end 7183.61721875
transcript.pyannote[1232].speaker SPEAKER_10
transcript.pyannote[1232].start 7184.29221875
transcript.pyannote[1232].end 7186.94159375
transcript.pyannote[1233].speaker SPEAKER_10
transcript.pyannote[1233].start 7187.04284375
transcript.pyannote[1233].end 7188.57846875
transcript.pyannote[1234].speaker SPEAKER_10
transcript.pyannote[1234].start 7188.84846875
transcript.pyannote[1234].end 7190.31659375
transcript.pyannote[1235].speaker SPEAKER_10
transcript.pyannote[1235].start 7192.17284375
transcript.pyannote[1235].end 7192.78034375
transcript.pyannote[1236].speaker SPEAKER_10
transcript.pyannote[1236].start 7193.11784375
transcript.pyannote[1236].end 7193.69159375
transcript.pyannote[1237].speaker SPEAKER_10
transcript.pyannote[1237].start 7194.02909375
transcript.pyannote[1237].end 7195.69971875
transcript.pyannote[1238].speaker SPEAKER_10
transcript.pyannote[1238].start 7195.98659375
transcript.pyannote[1238].end 7199.36159375
transcript.pyannote[1239].speaker SPEAKER_10
transcript.pyannote[1239].start 7199.46284375
transcript.pyannote[1239].end 7203.24284375
transcript.pyannote[1240].speaker SPEAKER_10
transcript.pyannote[1240].start 7203.32721875
transcript.pyannote[1240].end 7206.44909375
transcript.pyannote[1241].speaker SPEAKER_10
transcript.pyannote[1241].start 7206.90471875
transcript.pyannote[1241].end 7209.33471875
transcript.pyannote[1242].speaker SPEAKER_10
transcript.pyannote[1242].start 7210.09409375
transcript.pyannote[1242].end 7212.47346875
transcript.pyannote[1243].speaker SPEAKER_10
transcript.pyannote[1243].start 7213.82346875
transcript.pyannote[1243].end 7216.08471875
transcript.pyannote[1244].speaker SPEAKER_10
transcript.pyannote[1244].start 7216.35471875
transcript.pyannote[1244].end 7217.63721875
transcript.pyannote[1245].speaker SPEAKER_10
transcript.pyannote[1245].start 7218.22784375
transcript.pyannote[1245].end 7222.04159375
transcript.pyannote[1246].speaker SPEAKER_10
transcript.pyannote[1246].start 7222.42971875
transcript.pyannote[1246].end 7224.15096875
transcript.pyannote[1247].speaker SPEAKER_10
transcript.pyannote[1247].start 7224.26909375
transcript.pyannote[1247].end 7227.91409375
transcript.pyannote[1248].speaker SPEAKER_10
transcript.pyannote[1248].start 7228.53846875
transcript.pyannote[1248].end 7229.82096875
transcript.pyannote[1249].speaker SPEAKER_10
transcript.pyannote[1249].start 7230.05721875
transcript.pyannote[1249].end 7230.90096875
transcript.pyannote[1250].speaker SPEAKER_10
transcript.pyannote[1250].start 7231.30596875
transcript.pyannote[1250].end 7232.82471875
transcript.pyannote[1251].speaker SPEAKER_10
transcript.pyannote[1251].start 7233.12846875
transcript.pyannote[1251].end 7234.14096875
transcript.pyannote[1252].speaker SPEAKER_10
transcript.pyannote[1252].start 7234.47846875
transcript.pyannote[1252].end 7236.16596875
transcript.pyannote[1253].speaker SPEAKER_10
transcript.pyannote[1253].start 7236.45284375
transcript.pyannote[1253].end 7239.59159375
transcript.pyannote[1254].speaker SPEAKER_10
transcript.pyannote[1254].start 7239.84471875
transcript.pyannote[1254].end 7241.29596875
transcript.pyannote[1255].speaker SPEAKER_10
transcript.pyannote[1255].start 7241.59971875
transcript.pyannote[1255].end 7245.10971875
transcript.pyannote[1256].speaker SPEAKER_10
transcript.pyannote[1256].start 7245.12659375
transcript.pyannote[1256].end 7247.48909375
transcript.pyannote[1257].speaker SPEAKER_25
transcript.pyannote[1257].start 7248.88971875
transcript.pyannote[1257].end 7254.55971875
transcript.pyannote[1258].speaker SPEAKER_10
transcript.pyannote[1258].start 7250.96534375
transcript.pyannote[1258].end 7251.25221875
transcript.pyannote[1259].speaker SPEAKER_10
transcript.pyannote[1259].start 7252.43346875
transcript.pyannote[1259].end 7257.14159375
transcript.pyannote[1260].speaker SPEAKER_25
transcript.pyannote[1260].start 7255.94346875
transcript.pyannote[1260].end 7262.84534375
transcript.pyannote[1261].speaker SPEAKER_10
transcript.pyannote[1261].start 7261.19159375
transcript.pyannote[1261].end 7262.91284375
transcript.pyannote[1262].speaker SPEAKER_10
transcript.pyannote[1262].start 7263.46971875
transcript.pyannote[1262].end 7266.40596875
transcript.pyannote[1263].speaker SPEAKER_10
transcript.pyannote[1263].start 7267.41846875
transcript.pyannote[1263].end 7276.69971875
transcript.pyannote[1264].speaker SPEAKER_00
transcript.pyannote[1264].start 7271.67096875
transcript.pyannote[1264].end 7272.34596875
transcript.pyannote[1265].speaker SPEAKER_10
transcript.pyannote[1265].start 7276.83471875
transcript.pyannote[1265].end 7278.16784375
transcript.pyannote[1266].speaker SPEAKER_10
transcript.pyannote[1266].start 7278.45471875
transcript.pyannote[1266].end 7283.80409375
transcript.pyannote[1267].speaker SPEAKER_10
transcript.pyannote[1267].start 7284.17534375
transcript.pyannote[1267].end 7285.67721875
transcript.pyannote[1268].speaker SPEAKER_10
transcript.pyannote[1268].start 7286.38596875
transcript.pyannote[1268].end 7295.04284375
transcript.pyannote[1269].speaker SPEAKER_10
transcript.pyannote[1269].start 7295.54909375
transcript.pyannote[1269].end 7301.16846875
transcript.pyannote[1270].speaker SPEAKER_10
transcript.pyannote[1270].start 7301.53971875
transcript.pyannote[1270].end 7303.48034375
transcript.pyannote[1271].speaker SPEAKER_10
transcript.pyannote[1271].start 7304.10471875
transcript.pyannote[1271].end 7305.33659375
transcript.pyannote[1272].speaker SPEAKER_10
transcript.pyannote[1272].start 7305.64034375
transcript.pyannote[1272].end 7308.77909375
transcript.pyannote[1273].speaker SPEAKER_10
transcript.pyannote[1273].start 7309.26846875
transcript.pyannote[1273].end 7312.39034375
transcript.pyannote[1274].speaker SPEAKER_10
transcript.pyannote[1274].start 7312.64346875
transcript.pyannote[1274].end 7313.79096875
transcript.pyannote[1275].speaker SPEAKER_10
transcript.pyannote[1275].start 7314.11159375
transcript.pyannote[1275].end 7315.56284375
transcript.pyannote[1276].speaker SPEAKER_10
transcript.pyannote[1276].start 7315.74846875
transcript.pyannote[1276].end 7319.47784375
transcript.pyannote[1277].speaker SPEAKER_10
transcript.pyannote[1277].start 7319.64659375
transcript.pyannote[1277].end 7325.95784375
transcript.pyannote[1278].speaker SPEAKER_25
transcript.pyannote[1278].start 7326.59909375
transcript.pyannote[1278].end 7331.34096875
transcript.pyannote[1279].speaker SPEAKER_10
transcript.pyannote[1279].start 7328.21909375
transcript.pyannote[1279].end 7328.55659375
transcript.pyannote[1280].speaker SPEAKER_10
transcript.pyannote[1280].start 7331.67846875
transcript.pyannote[1280].end 7332.55596875
transcript.pyannote[1281].speaker SPEAKER_25
transcript.pyannote[1281].start 7333.46721875
transcript.pyannote[1281].end 7334.78346875
transcript.pyannote[1282].speaker SPEAKER_10
transcript.pyannote[1282].start 7334.02409375
transcript.pyannote[1282].end 7335.62721875
transcript.pyannote[1283].speaker SPEAKER_25
transcript.pyannote[1283].start 7336.60596875
transcript.pyannote[1283].end 7338.78284375
transcript.pyannote[1284].speaker SPEAKER_10
transcript.pyannote[1284].start 7338.27659375
transcript.pyannote[1284].end 7342.02284375
transcript.pyannote[1285].speaker SPEAKER_10
transcript.pyannote[1285].start 7342.09034375
transcript.pyannote[1285].end 7343.67659375
transcript.pyannote[1286].speaker SPEAKER_10
transcript.pyannote[1286].start 7343.96346875
transcript.pyannote[1286].end 7346.56221875
transcript.pyannote[1287].speaker SPEAKER_10
transcript.pyannote[1287].start 7348.72221875
transcript.pyannote[1287].end 7350.17346875
transcript.pyannote[1288].speaker SPEAKER_10
transcript.pyannote[1288].start 7350.46034375
transcript.pyannote[1288].end 7352.04659375
transcript.pyannote[1289].speaker SPEAKER_25
transcript.pyannote[1289].start 7354.22346875
transcript.pyannote[1289].end 7357.22721875
transcript.pyannote[1290].speaker SPEAKER_10
transcript.pyannote[1290].start 7357.22721875
transcript.pyannote[1290].end 7359.91034375
transcript.pyannote[1291].speaker SPEAKER_10
transcript.pyannote[1291].start 7360.46721875
transcript.pyannote[1291].end 7362.47534375
transcript.pyannote[1292].speaker SPEAKER_10
transcript.pyannote[1292].start 7363.21784375
transcript.pyannote[1292].end 7363.70721875
transcript.pyannote[1293].speaker SPEAKER_10
transcript.pyannote[1293].start 7364.06159375
transcript.pyannote[1293].end 7365.73221875
transcript.pyannote[1294].speaker SPEAKER_10
transcript.pyannote[1294].start 7367.13284375
transcript.pyannote[1294].end 7368.87096875
transcript.pyannote[1295].speaker SPEAKER_10
transcript.pyannote[1295].start 7369.44471875
transcript.pyannote[1295].end 7370.23784375
transcript.pyannote[1296].speaker SPEAKER_10
transcript.pyannote[1296].start 7371.04784375
transcript.pyannote[1296].end 7371.79034375
transcript.pyannote[1297].speaker SPEAKER_10
transcript.pyannote[1297].start 7373.96721875
transcript.pyannote[1297].end 7374.38909375
transcript.pyannote[1298].speaker SPEAKER_10
transcript.pyannote[1298].start 7374.69284375
transcript.pyannote[1298].end 7377.94971875
transcript.pyannote[1299].speaker SPEAKER_10
transcript.pyannote[1299].start 7377.96659375
transcript.pyannote[1299].end 7381.78034375
transcript.pyannote[1300].speaker SPEAKER_08
transcript.pyannote[1300].start 7380.83534375
transcript.pyannote[1300].end 7381.51034375
transcript.pyannote[1301].speaker SPEAKER_18
transcript.pyannote[1301].start 7381.51034375
transcript.pyannote[1301].end 7381.62846875
transcript.pyannote[1302].speaker SPEAKER_10
transcript.pyannote[1302].start 7381.96596875
transcript.pyannote[1302].end 7387.77096875
transcript.pyannote[1303].speaker SPEAKER_10
transcript.pyannote[1303].start 7388.10846875
transcript.pyannote[1303].end 7389.27284375
transcript.pyannote[1304].speaker SPEAKER_10
transcript.pyannote[1304].start 7389.82971875
transcript.pyannote[1304].end 7390.33596875
transcript.pyannote[1305].speaker SPEAKER_25
transcript.pyannote[1305].start 7390.48784375
transcript.pyannote[1305].end 7390.94346875
transcript.pyannote[1306].speaker SPEAKER_10
transcript.pyannote[1306].start 7390.87596875
transcript.pyannote[1306].end 7393.01909375
transcript.pyannote[1307].speaker SPEAKER_10
transcript.pyannote[1307].start 7393.42409375
transcript.pyannote[1307].end 7393.98096875
transcript.pyannote[1308].speaker SPEAKER_10
transcript.pyannote[1308].start 7394.14971875
transcript.pyannote[1308].end 7395.76971875
transcript.pyannote[1309].speaker SPEAKER_10
transcript.pyannote[1309].start 7396.17471875
transcript.pyannote[1309].end 7400.20784375
transcript.pyannote[1310].speaker SPEAKER_25
transcript.pyannote[1310].start 7400.49471875
transcript.pyannote[1310].end 7401.00096875
transcript.pyannote[1311].speaker SPEAKER_10
transcript.pyannote[1311].start 7401.03471875
transcript.pyannote[1311].end 7403.59971875
transcript.pyannote[1312].speaker SPEAKER_25
transcript.pyannote[1312].start 7403.92034375
transcript.pyannote[1312].end 7413.64034375
transcript.pyannote[1313].speaker SPEAKER_10
transcript.pyannote[1313].start 7408.59471875
transcript.pyannote[1313].end 7409.62409375
transcript.pyannote[1314].speaker SPEAKER_10
transcript.pyannote[1314].start 7409.99534375
transcript.pyannote[1314].end 7411.69971875
transcript.pyannote[1315].speaker SPEAKER_10
transcript.pyannote[1315].start 7413.25221875
transcript.pyannote[1315].end 7415.54721875
transcript.pyannote[1316].speaker SPEAKER_25
transcript.pyannote[1316].start 7415.73284375
transcript.pyannote[1316].end 7420.35659375
transcript.pyannote[1317].speaker SPEAKER_10
transcript.pyannote[1317].start 7417.69034375
transcript.pyannote[1317].end 7418.63534375
transcript.pyannote[1318].speaker SPEAKER_10
transcript.pyannote[1318].start 7420.45784375
transcript.pyannote[1318].end 7421.68971875
transcript.pyannote[1319].speaker SPEAKER_25
transcript.pyannote[1319].start 7421.68971875
transcript.pyannote[1319].end 7425.77346875
transcript.pyannote[1320].speaker SPEAKER_10
transcript.pyannote[1320].start 7422.63471875
transcript.pyannote[1320].end 7423.73159375
transcript.pyannote[1321].speaker SPEAKER_10
transcript.pyannote[1321].start 7424.65971875
transcript.pyannote[1321].end 7426.98846875
transcript.pyannote[1322].speaker SPEAKER_25
transcript.pyannote[1322].start 7426.92096875
transcript.pyannote[1322].end 7428.03471875
transcript.pyannote[1323].speaker SPEAKER_10
transcript.pyannote[1323].start 7427.32596875
transcript.pyannote[1323].end 7431.27471875
transcript.pyannote[1324].speaker SPEAKER_10
transcript.pyannote[1324].start 7431.66284375
transcript.pyannote[1324].end 7432.57409375
transcript.pyannote[1325].speaker SPEAKER_10
transcript.pyannote[1325].start 7432.59096875
transcript.pyannote[1325].end 7433.33346875
transcript.pyannote[1326].speaker SPEAKER_10
transcript.pyannote[1326].start 7433.82284375
transcript.pyannote[1326].end 7436.03346875
transcript.pyannote[1327].speaker SPEAKER_10
transcript.pyannote[1327].start 7436.26971875
transcript.pyannote[1327].end 7438.46346875
transcript.pyannote[1328].speaker SPEAKER_10
transcript.pyannote[1328].start 7438.93596875
transcript.pyannote[1328].end 7446.64784375
transcript.pyannote[1329].speaker SPEAKER_10
transcript.pyannote[1329].start 7446.71534375
transcript.pyannote[1329].end 7451.91284375
transcript.pyannote[1330].speaker SPEAKER_25
transcript.pyannote[1330].start 7450.19159375
transcript.pyannote[1330].end 7451.17034375
transcript.pyannote[1331].speaker SPEAKER_25
transcript.pyannote[1331].start 7452.14909375
transcript.pyannote[1331].end 7458.35909375
transcript.pyannote[1332].speaker SPEAKER_10
transcript.pyannote[1332].start 7455.81096875
transcript.pyannote[1332].end 7459.99596875
transcript.pyannote[1333].speaker SPEAKER_25
transcript.pyannote[1333].start 7459.99596875
transcript.pyannote[1333].end 7467.25221875
transcript.pyannote[1334].speaker SPEAKER_10
transcript.pyannote[1334].start 7460.65409375
transcript.pyannote[1334].end 7463.64096875
transcript.pyannote[1335].speaker SPEAKER_10
transcript.pyannote[1335].start 7465.42971875
transcript.pyannote[1335].end 7476.01034375
transcript.pyannote[1336].speaker SPEAKER_18
transcript.pyannote[1336].start 7476.21284375
transcript.pyannote[1336].end 7476.65159375
transcript.pyannote[1337].speaker SPEAKER_10
transcript.pyannote[1337].start 7476.65159375
transcript.pyannote[1337].end 7485.40971875
transcript.pyannote[1338].speaker SPEAKER_10
transcript.pyannote[1338].start 7486.00034375
transcript.pyannote[1338].end 7488.54846875
transcript.pyannote[1339].speaker SPEAKER_10
transcript.pyannote[1339].start 7488.64971875
transcript.pyannote[1339].end 7496.64846875
transcript.pyannote[1340].speaker SPEAKER_10
transcript.pyannote[1340].start 7496.96909375
transcript.pyannote[1340].end 7498.09971875
transcript.pyannote[1341].speaker SPEAKER_10
transcript.pyannote[1341].start 7498.55534375
transcript.pyannote[1341].end 7500.63096875
transcript.pyannote[1342].speaker SPEAKER_10
transcript.pyannote[1342].start 7500.96846875
transcript.pyannote[1342].end 7502.26784375
transcript.pyannote[1343].speaker SPEAKER_10
transcript.pyannote[1343].start 7502.60534375
transcript.pyannote[1343].end 7504.36034375
transcript.pyannote[1344].speaker SPEAKER_10
transcript.pyannote[1344].start 7504.56284375
transcript.pyannote[1344].end 7505.87909375
transcript.pyannote[1345].speaker SPEAKER_25
transcript.pyannote[1345].start 7506.09846875
transcript.pyannote[1345].end 7508.62971875
transcript.pyannote[1346].speaker SPEAKER_10
transcript.pyannote[1346].start 7508.62971875
transcript.pyannote[1346].end 7514.16471875
transcript.pyannote[1347].speaker SPEAKER_25
transcript.pyannote[1347].start 7514.40096875
transcript.pyannote[1347].end 7514.99159375
transcript.pyannote[1348].speaker SPEAKER_10
transcript.pyannote[1348].start 7515.07596875
transcript.pyannote[1348].end 7523.54721875
transcript.pyannote[1349].speaker SPEAKER_25
transcript.pyannote[1349].start 7515.36284375
transcript.pyannote[1349].end 7515.61596875
transcript.pyannote[1350].speaker SPEAKER_25
transcript.pyannote[1350].start 7516.27409375
transcript.pyannote[1350].end 7516.86471875
transcript.pyannote[1351].speaker SPEAKER_18
transcript.pyannote[1351].start 7516.86471875
transcript.pyannote[1351].end 7517.15159375
transcript.pyannote[1352].speaker SPEAKER_10
transcript.pyannote[1352].start 7524.28971875
transcript.pyannote[1352].end 7525.94346875
transcript.pyannote[1353].speaker SPEAKER_04
transcript.pyannote[1353].start 7525.94346875
transcript.pyannote[1353].end 7526.16284375
transcript.pyannote[1354].speaker SPEAKER_04
transcript.pyannote[1354].start 7526.56784375
transcript.pyannote[1354].end 7526.60159375
transcript.pyannote[1355].speaker SPEAKER_10
transcript.pyannote[1355].start 7526.60159375
transcript.pyannote[1355].end 7526.63534375
transcript.pyannote[1356].speaker SPEAKER_04
transcript.pyannote[1356].start 7526.63534375
transcript.pyannote[1356].end 7526.98971875
transcript.pyannote[1357].speaker SPEAKER_04
transcript.pyannote[1357].start 7529.80784375
transcript.pyannote[1357].end 7534.11096875
transcript.pyannote[1358].speaker SPEAKER_04
transcript.pyannote[1358].start 7534.71846875
transcript.pyannote[1358].end 7537.38471875
transcript.pyannote[1359].speaker SPEAKER_04
transcript.pyannote[1359].start 7537.94159375
transcript.pyannote[1359].end 7539.64596875
transcript.pyannote[1360].speaker SPEAKER_23
transcript.pyannote[1360].start 7541.29971875
transcript.pyannote[1360].end 7543.69596875
transcript.pyannote[1361].speaker SPEAKER_23
transcript.pyannote[1361].start 7547.94846875
transcript.pyannote[1361].end 7548.65721875
transcript.pyannote[1362].speaker SPEAKER_23
transcript.pyannote[1362].start 7548.84284375
transcript.pyannote[1362].end 7551.88034375
transcript.pyannote[1363].speaker SPEAKER_23
transcript.pyannote[1363].start 7552.60596875
transcript.pyannote[1363].end 7553.17971875
transcript.pyannote[1364].speaker SPEAKER_23
transcript.pyannote[1364].start 7554.15846875
transcript.pyannote[1364].end 7556.63909375
transcript.pyannote[1365].speaker SPEAKER_23
transcript.pyannote[1365].start 7556.89221875
transcript.pyannote[1365].end 7560.48659375
transcript.pyannote[1366].speaker SPEAKER_23
transcript.pyannote[1366].start 7560.55409375
transcript.pyannote[1366].end 7561.98846875
transcript.pyannote[1367].speaker SPEAKER_23
transcript.pyannote[1367].start 7562.32596875
transcript.pyannote[1367].end 7565.71784375
transcript.pyannote[1368].speaker SPEAKER_23
transcript.pyannote[1368].start 7566.52784375
transcript.pyannote[1368].end 7573.46346875
transcript.pyannote[1369].speaker SPEAKER_23
transcript.pyannote[1369].start 7573.80096875
transcript.pyannote[1369].end 7579.06596875
transcript.pyannote[1370].speaker SPEAKER_23
transcript.pyannote[1370].start 7579.70721875
transcript.pyannote[1370].end 7582.84596875
transcript.pyannote[1371].speaker SPEAKER_23
transcript.pyannote[1371].start 7583.01471875
transcript.pyannote[1371].end 7588.09409375
transcript.pyannote[1372].speaker SPEAKER_23
transcript.pyannote[1372].start 7588.54971875
transcript.pyannote[1372].end 7600.58159375
transcript.pyannote[1373].speaker SPEAKER_23
transcript.pyannote[1373].start 7600.93596875
transcript.pyannote[1373].end 7606.50471875
transcript.pyannote[1374].speaker SPEAKER_23
transcript.pyannote[1374].start 7606.74096875
transcript.pyannote[1374].end 7609.87971875
transcript.pyannote[1375].speaker SPEAKER_23
transcript.pyannote[1375].start 7610.23409375
transcript.pyannote[1375].end 7617.35534375
transcript.pyannote[1376].speaker SPEAKER_23
transcript.pyannote[1376].start 7617.47346875
transcript.pyannote[1376].end 7623.26159375
transcript.pyannote[1377].speaker SPEAKER_23
transcript.pyannote[1377].start 7623.58221875
transcript.pyannote[1377].end 7630.07909375
transcript.pyannote[1378].speaker SPEAKER_23
transcript.pyannote[1378].start 7630.24784375
transcript.pyannote[1378].end 7652.30346875
transcript.pyannote[1379].speaker SPEAKER_23
transcript.pyannote[1379].start 7653.46784375
transcript.pyannote[1379].end 7664.62221875
transcript.pyannote[1380].speaker SPEAKER_23
transcript.pyannote[1380].start 7664.90909375
transcript.pyannote[1380].end 7668.90846875
transcript.pyannote[1381].speaker SPEAKER_25
transcript.pyannote[1381].start 7669.56659375
transcript.pyannote[1381].end 7672.84034375
transcript.pyannote[1382].speaker SPEAKER_25
transcript.pyannote[1382].start 7672.99221875
transcript.pyannote[1382].end 7686.69471875
transcript.pyannote[1383].speaker SPEAKER_25
transcript.pyannote[1383].start 7686.84659375
transcript.pyannote[1383].end 7688.44971875
transcript.pyannote[1384].speaker SPEAKER_25
transcript.pyannote[1384].start 7688.61846875
transcript.pyannote[1384].end 7691.11596875
transcript.pyannote[1385].speaker SPEAKER_23
transcript.pyannote[1385].start 7691.11596875
transcript.pyannote[1385].end 7692.49971875
transcript.pyannote[1386].speaker SPEAKER_25
transcript.pyannote[1386].start 7693.09034375
transcript.pyannote[1386].end 7718.28471875
transcript.pyannote[1387].speaker SPEAKER_23
transcript.pyannote[1387].start 7715.88846875
transcript.pyannote[1387].end 7724.34284375
transcript.pyannote[1388].speaker SPEAKER_25
transcript.pyannote[1388].start 7724.93346875
transcript.pyannote[1388].end 7748.57534375
transcript.pyannote[1389].speaker SPEAKER_23
transcript.pyannote[1389].start 7748.44034375
transcript.pyannote[1389].end 7796.70284375
transcript.pyannote[1390].speaker SPEAKER_25
transcript.pyannote[1390].start 7797.66471875
transcript.pyannote[1390].end 7839.14346875
transcript.pyannote[1391].speaker SPEAKER_23
transcript.pyannote[1391].start 7797.71534375
transcript.pyannote[1391].end 7798.28909375
transcript.pyannote[1392].speaker SPEAKER_23
transcript.pyannote[1392].start 7839.14346875
transcript.pyannote[1392].end 7887.60846875
transcript.pyannote[1393].speaker SPEAKER_23
transcript.pyannote[1393].start 7887.74346875
transcript.pyannote[1393].end 7887.79409375
transcript.pyannote[1394].speaker SPEAKER_23
transcript.pyannote[1394].start 7887.81096875
transcript.pyannote[1394].end 7893.86909375
transcript.pyannote[1395].speaker SPEAKER_23
transcript.pyannote[1395].start 7894.20659375
transcript.pyannote[1395].end 7910.44034375
transcript.pyannote[1396].speaker SPEAKER_23
transcript.pyannote[1396].start 7910.64284375
transcript.pyannote[1396].end 7921.98284375
transcript.pyannote[1397].speaker SPEAKER_23
transcript.pyannote[1397].start 7922.52284375
transcript.pyannote[1397].end 7941.79409375
transcript.pyannote[1398].speaker SPEAKER_23
transcript.pyannote[1398].start 7942.11471875
transcript.pyannote[1398].end 7946.36721875
transcript.pyannote[1399].speaker SPEAKER_23
transcript.pyannote[1399].start 7946.77221875
transcript.pyannote[1399].end 7970.07659375
transcript.pyannote[1400].speaker SPEAKER_23
transcript.pyannote[1400].start 7970.48159375
transcript.pyannote[1400].end 7972.06784375
transcript.pyannote[1401].speaker SPEAKER_25
transcript.pyannote[1401].start 7972.06784375
transcript.pyannote[1401].end 7972.08471875
transcript.pyannote[1402].speaker SPEAKER_25
transcript.pyannote[1402].start 7973.46846875
transcript.pyannote[1402].end 7991.37284375
transcript.pyannote[1403].speaker SPEAKER_00
transcript.pyannote[1403].start 7977.29909375
transcript.pyannote[1403].end 7977.82221875
transcript.pyannote[1404].speaker SPEAKER_23
transcript.pyannote[1404].start 7991.37284375
transcript.pyannote[1404].end 8021.27534375
transcript.pyannote[1405].speaker SPEAKER_25
transcript.pyannote[1405].start 7991.40659375
transcript.pyannote[1405].end 7991.45721875
transcript.pyannote[1406].speaker SPEAKER_23
transcript.pyannote[1406].start 8021.93346875
transcript.pyannote[1406].end 8036.53034375
transcript.pyannote[1407].speaker SPEAKER_23
transcript.pyannote[1407].start 8037.27284375
transcript.pyannote[1407].end 8037.96471875
transcript.pyannote[1408].speaker SPEAKER_25
transcript.pyannote[1408].start 8037.96471875
transcript.pyannote[1408].end 8083.79721875
transcript.pyannote[1409].speaker SPEAKER_23
transcript.pyannote[1409].start 8062.34909375
transcript.pyannote[1409].end 8062.99034375
transcript.pyannote[1410].speaker SPEAKER_23
transcript.pyannote[1410].start 8083.83096875
transcript.pyannote[1410].end 8093.66909375
transcript.pyannote[1411].speaker SPEAKER_23
transcript.pyannote[1411].start 8093.92221875
transcript.pyannote[1411].end 8104.43534375
transcript.pyannote[1412].speaker SPEAKER_23
transcript.pyannote[1412].start 8105.17784375
transcript.pyannote[1412].end 8130.32159375
transcript.pyannote[1413].speaker SPEAKER_23
transcript.pyannote[1413].start 8130.97971875
transcript.pyannote[1413].end 8165.69159375
transcript.pyannote[1414].speaker SPEAKER_23
transcript.pyannote[1414].start 8165.80971875
transcript.pyannote[1414].end 8190.54846875
transcript.pyannote[1415].speaker SPEAKER_00
transcript.pyannote[1415].start 8180.33909375
transcript.pyannote[1415].end 8181.03096875
transcript.pyannote[1416].speaker SPEAKER_07
transcript.pyannote[1416].start 8181.03096875
transcript.pyannote[1416].end 8181.48659375
transcript.pyannote[1417].speaker SPEAKER_00
transcript.pyannote[1417].start 8181.48659375
transcript.pyannote[1417].end 8181.60471875
transcript.pyannote[1418].speaker SPEAKER_04
transcript.pyannote[1418].start 8188.23659375
transcript.pyannote[1418].end 8189.63721875
transcript.pyannote[1419].speaker SPEAKER_04
transcript.pyannote[1419].start 8189.77221875
transcript.pyannote[1419].end 8189.83971875
transcript.pyannote[1420].speaker SPEAKER_04
transcript.pyannote[1420].start 8189.90721875
transcript.pyannote[1420].end 8192.42159375
transcript.pyannote[1421].speaker SPEAKER_04
transcript.pyannote[1421].start 8193.50159375
transcript.pyannote[1421].end 8196.38721875
transcript.pyannote[1422].speaker SPEAKER_04
transcript.pyannote[1422].start 8196.84284375
transcript.pyannote[1422].end 8199.34034375
transcript.pyannote[1423].speaker SPEAKER_04
transcript.pyannote[1423].start 8199.64409375
transcript.pyannote[1423].end 8201.56784375
transcript.pyannote[1424].speaker SPEAKER_03
transcript.pyannote[1424].start 8206.22534375
transcript.pyannote[1424].end 8221.85159375
transcript.pyannote[1425].speaker SPEAKER_02
transcript.pyannote[1425].start 8212.31721875
transcript.pyannote[1425].end 8212.70534375
transcript.pyannote[1426].speaker SPEAKER_12
transcript.pyannote[1426].start 8216.78909375
transcript.pyannote[1426].end 8217.43034375
transcript.pyannote[1427].speaker SPEAKER_04
transcript.pyannote[1427].start 8217.43034375
transcript.pyannote[1427].end 8217.46409375
transcript.pyannote[1428].speaker SPEAKER_12
transcript.pyannote[1428].start 8217.46409375
transcript.pyannote[1428].end 8217.56534375
transcript.pyannote[1429].speaker SPEAKER_04
transcript.pyannote[1429].start 8220.18096875
transcript.pyannote[1429].end 8222.86409375
transcript.pyannote[1430].speaker SPEAKER_03
transcript.pyannote[1430].start 8222.86409375
transcript.pyannote[1430].end 8222.96534375
transcript.pyannote[1431].speaker SPEAKER_03
transcript.pyannote[1431].start 8224.36596875
transcript.pyannote[1431].end 8275.07534375
transcript.pyannote[1432].speaker SPEAKER_04
transcript.pyannote[1432].start 8225.78346875
transcript.pyannote[1432].end 8226.08721875
transcript.pyannote[1433].speaker SPEAKER_03
transcript.pyannote[1433].start 8275.48034375
transcript.pyannote[1433].end 8322.02159375
transcript.pyannote[1434].speaker SPEAKER_03
transcript.pyannote[1434].start 8322.40971875
transcript.pyannote[1434].end 8325.36284375
transcript.pyannote[1435].speaker SPEAKER_05
transcript.pyannote[1435].start 8326.03784375
transcript.pyannote[1435].end 8336.04471875
transcript.pyannote[1436].speaker SPEAKER_05
transcript.pyannote[1436].start 8336.09534375
transcript.pyannote[1436].end 8336.11221875
transcript.pyannote[1437].speaker SPEAKER_03
transcript.pyannote[1437].start 8336.11221875
transcript.pyannote[1437].end 8343.23346875
transcript.pyannote[1438].speaker SPEAKER_03
transcript.pyannote[1438].start 8343.90846875
transcript.pyannote[1438].end 8351.35034375
transcript.pyannote[1439].speaker SPEAKER_03
transcript.pyannote[1439].start 8351.85659375
transcript.pyannote[1439].end 8363.83784375
transcript.pyannote[1440].speaker SPEAKER_03
transcript.pyannote[1440].start 8365.08659375
transcript.pyannote[1440].end 8375.07659375
transcript.pyannote[1441].speaker SPEAKER_03
transcript.pyannote[1441].start 8375.44784375
transcript.pyannote[1441].end 8380.67909375
transcript.pyannote[1442].speaker SPEAKER_03
transcript.pyannote[1442].start 8381.91096875
transcript.pyannote[1442].end 8383.85159375
transcript.pyannote[1443].speaker SPEAKER_18
transcript.pyannote[1443].start 8383.58159375
transcript.pyannote[1443].end 8384.30721875
transcript.pyannote[1444].speaker SPEAKER_03
transcript.pyannote[1444].start 8384.22284375
transcript.pyannote[1444].end 8390.39909375
transcript.pyannote[1445].speaker SPEAKER_18
transcript.pyannote[1445].start 8384.32409375
transcript.pyannote[1445].end 8384.34096875
transcript.pyannote[1446].speaker SPEAKER_03
transcript.pyannote[1446].start 8391.22596875
transcript.pyannote[1446].end 8391.93471875
transcript.pyannote[1447].speaker SPEAKER_03
transcript.pyannote[1447].start 8392.47471875
transcript.pyannote[1447].end 8407.05471875
transcript.pyannote[1448].speaker SPEAKER_03
transcript.pyannote[1448].start 8407.93221875
transcript.pyannote[1448].end 8412.16784375
transcript.pyannote[1449].speaker SPEAKER_03
transcript.pyannote[1449].start 8412.65721875
transcript.pyannote[1449].end 8416.96034375
transcript.pyannote[1450].speaker SPEAKER_03
transcript.pyannote[1450].start 8417.39909375
transcript.pyannote[1450].end 8418.02346875
transcript.pyannote[1451].speaker SPEAKER_03
transcript.pyannote[1451].start 8418.37784375
transcript.pyannote[1451].end 8419.57596875
transcript.pyannote[1452].speaker SPEAKER_03
transcript.pyannote[1452].start 8419.86284375
transcript.pyannote[1452].end 8424.13221875
transcript.pyannote[1453].speaker SPEAKER_05
transcript.pyannote[1453].start 8424.55409375
transcript.pyannote[1453].end 8432.09721875
transcript.pyannote[1454].speaker SPEAKER_03
transcript.pyannote[1454].start 8430.10596875
transcript.pyannote[1454].end 8445.24284375
transcript.pyannote[1455].speaker SPEAKER_18
transcript.pyannote[1455].start 8445.12471875
transcript.pyannote[1455].end 8445.49596875
transcript.pyannote[1456].speaker SPEAKER_03
transcript.pyannote[1456].start 8445.49596875
transcript.pyannote[1456].end 8451.19971875
transcript.pyannote[1457].speaker SPEAKER_05
transcript.pyannote[1457].start 8451.19971875
transcript.pyannote[1457].end 8452.68471875
transcript.pyannote[1458].speaker SPEAKER_03
transcript.pyannote[1458].start 8451.73971875
transcript.pyannote[1458].end 8457.08909375
transcript.pyannote[1459].speaker SPEAKER_05
transcript.pyannote[1459].start 8457.27471875
transcript.pyannote[1459].end 8466.70784375
transcript.pyannote[1460].speaker SPEAKER_03
transcript.pyannote[1460].start 8466.47159375
transcript.pyannote[1460].end 8469.39096875
transcript.pyannote[1461].speaker SPEAKER_03
transcript.pyannote[1461].start 8470.31909375
transcript.pyannote[1461].end 8471.55096875
transcript.pyannote[1462].speaker SPEAKER_05
transcript.pyannote[1462].start 8472.09096875
transcript.pyannote[1462].end 8482.48596875
transcript.pyannote[1463].speaker SPEAKER_03
transcript.pyannote[1463].start 8480.41034375
transcript.pyannote[1463].end 8484.19034375
transcript.pyannote[1464].speaker SPEAKER_03
transcript.pyannote[1464].start 8484.98346875
transcript.pyannote[1464].end 8497.63971875
transcript.pyannote[1465].speaker SPEAKER_05
transcript.pyannote[1465].start 8498.39909375
transcript.pyannote[1465].end 8499.19221875
transcript.pyannote[1466].speaker SPEAKER_03
transcript.pyannote[1466].start 8498.66909375
transcript.pyannote[1466].end 8513.24909375
transcript.pyannote[1467].speaker SPEAKER_05
transcript.pyannote[1467].start 8512.79346875
transcript.pyannote[1467].end 8516.37096875
transcript.pyannote[1468].speaker SPEAKER_03
transcript.pyannote[1468].start 8514.41346875
transcript.pyannote[1468].end 8514.59909375
transcript.pyannote[1469].speaker SPEAKER_03
transcript.pyannote[1469].start 8514.73409375
transcript.pyannote[1469].end 8514.80159375
transcript.pyannote[1470].speaker SPEAKER_03
transcript.pyannote[1470].start 8515.40909375
transcript.pyannote[1470].end 8524.03221875
transcript.pyannote[1471].speaker SPEAKER_03
transcript.pyannote[1471].start 8524.20096875
transcript.pyannote[1471].end 8538.25784375
transcript.pyannote[1472].speaker SPEAKER_03
transcript.pyannote[1472].start 8538.79784375
transcript.pyannote[1472].end 8540.63721875
transcript.pyannote[1473].speaker SPEAKER_03
transcript.pyannote[1473].start 8540.92409375
transcript.pyannote[1473].end 8543.03346875
transcript.pyannote[1474].speaker SPEAKER_03
transcript.pyannote[1474].start 8544.14721875
transcript.pyannote[1474].end 8545.34534375
transcript.pyannote[1475].speaker SPEAKER_05
transcript.pyannote[1475].start 8545.86846875
transcript.pyannote[1475].end 8550.50909375
transcript.pyannote[1476].speaker SPEAKER_03
transcript.pyannote[1476].start 8550.28971875
transcript.pyannote[1476].end 8554.54221875
transcript.pyannote[1477].speaker SPEAKER_05
transcript.pyannote[1477].start 8552.93909375
transcript.pyannote[1477].end 8555.75721875
transcript.pyannote[1478].speaker SPEAKER_03
transcript.pyannote[1478].start 8555.28471875
transcript.pyannote[1478].end 8556.17909375
transcript.pyannote[1479].speaker SPEAKER_05
transcript.pyannote[1479].start 8556.17909375
transcript.pyannote[1479].end 8556.58409375
transcript.pyannote[1480].speaker SPEAKER_03
transcript.pyannote[1480].start 8556.58409375
transcript.pyannote[1480].end 8557.47846875
transcript.pyannote[1481].speaker SPEAKER_03
transcript.pyannote[1481].start 8557.64721875
transcript.pyannote[1481].end 8559.60471875
transcript.pyannote[1482].speaker SPEAKER_05
transcript.pyannote[1482].start 8560.81971875
transcript.pyannote[1482].end 8565.15659375
transcript.pyannote[1483].speaker SPEAKER_03
transcript.pyannote[1483].start 8563.73909375
transcript.pyannote[1483].end 8608.25534375
transcript.pyannote[1484].speaker SPEAKER_05
transcript.pyannote[1484].start 8567.48534375
transcript.pyannote[1484].end 8568.31221875
transcript.pyannote[1485].speaker SPEAKER_02
transcript.pyannote[1485].start 8568.31221875
transcript.pyannote[1485].end 8568.34596875
transcript.pyannote[1486].speaker SPEAKER_03
transcript.pyannote[1486].start 8608.87971875
transcript.pyannote[1486].end 8616.11909375
transcript.pyannote[1487].speaker SPEAKER_03
transcript.pyannote[1487].start 8617.65471875
transcript.pyannote[1487].end 8636.90909375
transcript.pyannote[1488].speaker SPEAKER_05
transcript.pyannote[1488].start 8636.90909375
transcript.pyannote[1488].end 8647.57409375
transcript.pyannote[1489].speaker SPEAKER_18
transcript.pyannote[1489].start 8637.17909375
transcript.pyannote[1489].end 8637.44909375
transcript.pyannote[1490].speaker SPEAKER_03
transcript.pyannote[1490].start 8645.92034375
transcript.pyannote[1490].end 8671.40159375
transcript.pyannote[1491].speaker SPEAKER_05
transcript.pyannote[1491].start 8650.35846875
transcript.pyannote[1491].end 8650.62846875
transcript.pyannote[1492].speaker SPEAKER_05
transcript.pyannote[1492].start 8652.04596875
transcript.pyannote[1492].end 8654.96534375
transcript.pyannote[1493].speaker SPEAKER_00
transcript.pyannote[1493].start 8654.96534375
transcript.pyannote[1493].end 8654.98221875
transcript.pyannote[1494].speaker SPEAKER_05
transcript.pyannote[1494].start 8670.67596875
transcript.pyannote[1494].end 8671.24971875
transcript.pyannote[1495].speaker SPEAKER_05
transcript.pyannote[1495].start 8671.40159375
transcript.pyannote[1495].end 8673.46034375
transcript.pyannote[1496].speaker SPEAKER_03
transcript.pyannote[1496].start 8672.11034375
transcript.pyannote[1496].end 8674.06784375
transcript.pyannote[1497].speaker SPEAKER_05
transcript.pyannote[1497].start 8674.06784375
transcript.pyannote[1497].end 8674.08471875
transcript.pyannote[1498].speaker SPEAKER_05
transcript.pyannote[1498].start 8674.10159375
transcript.pyannote[1498].end 8679.68721875
transcript.pyannote[1499].speaker SPEAKER_03
transcript.pyannote[1499].start 8677.74659375
transcript.pyannote[1499].end 8724.47346875
transcript.pyannote[1500].speaker SPEAKER_00
transcript.pyannote[1500].start 8696.59596875
transcript.pyannote[1500].end 8696.61284375
transcript.pyannote[1501].speaker SPEAKER_18
transcript.pyannote[1501].start 8696.61284375
transcript.pyannote[1501].end 8697.00096875
transcript.pyannote[1502].speaker SPEAKER_18
transcript.pyannote[1502].start 8725.87409375
transcript.pyannote[1502].end 8725.89096875
transcript.pyannote[1503].speaker SPEAKER_03
transcript.pyannote[1503].start 8725.89096875
transcript.pyannote[1503].end 8735.98221875
transcript.pyannote[1504].speaker SPEAKER_18
transcript.pyannote[1504].start 8725.94159375
transcript.pyannote[1504].end 8726.46471875
transcript.pyannote[1505].speaker SPEAKER_25
transcript.pyannote[1505].start 8736.40409375
transcript.pyannote[1505].end 8738.34471875
transcript.pyannote[1506].speaker SPEAKER_03
transcript.pyannote[1506].start 8738.66534375
transcript.pyannote[1506].end 8755.38846875
transcript.pyannote[1507].speaker SPEAKER_25
transcript.pyannote[1507].start 8755.92846875
transcript.pyannote[1507].end 8762.25659375
transcript.pyannote[1508].speaker SPEAKER_03
transcript.pyannote[1508].start 8762.25659375
transcript.pyannote[1508].end 8790.55596875
transcript.pyannote[1509].speaker SPEAKER_25
transcript.pyannote[1509].start 8790.79221875
transcript.pyannote[1509].end 8805.99659375
transcript.pyannote[1510].speaker SPEAKER_03
transcript.pyannote[1510].start 8796.14159375
transcript.pyannote[1510].end 8801.08596875
transcript.pyannote[1511].speaker SPEAKER_03
transcript.pyannote[1511].start 8804.00534375
transcript.pyannote[1511].end 8818.18034375
transcript.pyannote[1512].speaker SPEAKER_25
transcript.pyannote[1512].start 8815.53096875
transcript.pyannote[1512].end 8818.34909375
transcript.pyannote[1513].speaker SPEAKER_25
transcript.pyannote[1513].start 8818.61909375
transcript.pyannote[1513].end 8827.49534375
transcript.pyannote[1514].speaker SPEAKER_03
transcript.pyannote[1514].start 8821.50471875
transcript.pyannote[1514].end 8822.71971875
transcript.pyannote[1515].speaker SPEAKER_03
transcript.pyannote[1515].start 8825.20034375
transcript.pyannote[1515].end 8848.52159375
transcript.pyannote[1516].speaker SPEAKER_03
transcript.pyannote[1516].start 8848.77471875
transcript.pyannote[1516].end 8849.28096875
transcript.pyannote[1517].speaker SPEAKER_03
transcript.pyannote[1517].start 8849.98971875
transcript.pyannote[1517].end 8859.45659375
transcript.pyannote[1518].speaker SPEAKER_25
transcript.pyannote[1518].start 8857.38096875
transcript.pyannote[1518].end 8860.21596875
transcript.pyannote[1519].speaker SPEAKER_03
transcript.pyannote[1519].start 8860.85721875
transcript.pyannote[1519].end 8863.62471875
transcript.pyannote[1520].speaker SPEAKER_25
transcript.pyannote[1520].start 8863.11846875
transcript.pyannote[1520].end 8864.40096875
transcript.pyannote[1521].speaker SPEAKER_03
transcript.pyannote[1521].start 8864.40096875
transcript.pyannote[1521].end 8866.18971875
transcript.pyannote[1522].speaker SPEAKER_25
transcript.pyannote[1522].start 8864.41784375
transcript.pyannote[1522].end 8864.60346875
transcript.pyannote[1523].speaker SPEAKER_04
transcript.pyannote[1523].start 8866.18971875
transcript.pyannote[1523].end 8866.30784375
transcript.pyannote[1524].speaker SPEAKER_03
transcript.pyannote[1524].start 8866.30784375
transcript.pyannote[1524].end 8866.66221875
transcript.pyannote[1525].speaker SPEAKER_04
transcript.pyannote[1525].start 8866.66221875
transcript.pyannote[1525].end 8868.19784375
transcript.pyannote[1526].speaker SPEAKER_03
transcript.pyannote[1526].start 8866.76346875
transcript.pyannote[1526].end 8866.79721875
transcript.pyannote[1527].speaker SPEAKER_04
transcript.pyannote[1527].start 8868.55221875
transcript.pyannote[1527].end 8871.28596875
transcript.pyannote[1528].speaker SPEAKER_12
transcript.pyannote[1528].start 8902.87596875
transcript.pyannote[1528].end 8903.07846875
transcript.pyannote[1529].speaker SPEAKER_25
transcript.pyannote[1529].start 9042.92159375
transcript.pyannote[1529].end 9044.47409375
transcript.pyannote[1530].speaker SPEAKER_23
transcript.pyannote[1530].start 9091.97721875
transcript.pyannote[1530].end 9092.51721875
transcript.pyannote[1531].speaker SPEAKER_23
transcript.pyannote[1531].start 9092.73659375
transcript.pyannote[1531].end 9093.17534375
transcript.pyannote[1532].speaker SPEAKER_23
transcript.pyannote[1532].start 9093.49596875
transcript.pyannote[1532].end 9093.83346875
transcript.pyannote[1533].speaker SPEAKER_11
transcript.pyannote[1533].start 9093.83346875
transcript.pyannote[1533].end 9094.60971875
transcript.pyannote[1534].speaker SPEAKER_23
transcript.pyannote[1534].start 9094.82909375
transcript.pyannote[1534].end 9096.01034375
transcript.pyannote[1535].speaker SPEAKER_23
transcript.pyannote[1535].start 9096.28034375
transcript.pyannote[1535].end 9097.20846875
transcript.pyannote[1536].speaker SPEAKER_23
transcript.pyannote[1536].start 9097.98471875
transcript.pyannote[1536].end 9101.03909375
transcript.pyannote[1537].speaker SPEAKER_23
transcript.pyannote[1537].start 9101.22471875
transcript.pyannote[1537].end 9101.47784375
transcript.pyannote[1538].speaker SPEAKER_00
transcript.pyannote[1538].start 9451.75221875
transcript.pyannote[1538].end 9452.00534375
transcript.pyannote[1539].speaker SPEAKER_04
transcript.pyannote[1539].start 9531.35159375
transcript.pyannote[1539].end 9531.58784375
transcript.pyannote[1540].speaker SPEAKER_04
transcript.pyannote[1540].start 9531.72284375
transcript.pyannote[1540].end 9532.26284375
transcript.pyannote[1541].speaker SPEAKER_04
transcript.pyannote[1541].start 9532.63409375
transcript.pyannote[1541].end 9533.68034375
transcript.pyannote[1542].speaker SPEAKER_04
transcript.pyannote[1542].start 9534.08534375
transcript.pyannote[1542].end 9537.03846875
transcript.pyannote[1543].speaker SPEAKER_11
transcript.pyannote[1543].start 9546.50534375
transcript.pyannote[1543].end 9549.93096875
transcript.pyannote[1544].speaker SPEAKER_04
transcript.pyannote[1544].start 9550.89284375
transcript.pyannote[1544].end 9551.85471875
transcript.pyannote[1545].speaker SPEAKER_11
transcript.pyannote[1545].start 9555.60096875
transcript.pyannote[1545].end 9557.45721875
transcript.pyannote[1546].speaker SPEAKER_04
transcript.pyannote[1546].start 9557.03534375
transcript.pyannote[1546].end 9557.32221875
transcript.pyannote[1547].speaker SPEAKER_18
transcript.pyannote[1547].start 9557.32221875
transcript.pyannote[1547].end 9557.42346875
transcript.pyannote[1548].speaker SPEAKER_11
transcript.pyannote[1548].start 9558.06471875
transcript.pyannote[1548].end 9567.93659375
transcript.pyannote[1549].speaker SPEAKER_11
transcript.pyannote[1549].start 9568.13909375
transcript.pyannote[1549].end 9576.69471875
transcript.pyannote[1550].speaker SPEAKER_11
transcript.pyannote[1550].start 9576.91409375
transcript.pyannote[1550].end 9586.26284375
transcript.pyannote[1551].speaker SPEAKER_11
transcript.pyannote[1551].start 9586.31346875
transcript.pyannote[1551].end 9591.32534375
transcript.pyannote[1552].speaker SPEAKER_11
transcript.pyannote[1552].start 9591.46034375
transcript.pyannote[1552].end 9614.15721875
transcript.pyannote[1553].speaker SPEAKER_11
transcript.pyannote[1553].start 9614.62971875
transcript.pyannote[1553].end 9617.44784375
transcript.pyannote[1554].speaker SPEAKER_11
transcript.pyannote[1554].start 9618.05534375
transcript.pyannote[1554].end 9619.81034375
transcript.pyannote[1555].speaker SPEAKER_11
transcript.pyannote[1555].start 9620.21534375
transcript.pyannote[1555].end 9622.93221875
transcript.pyannote[1556].speaker SPEAKER_11
transcript.pyannote[1556].start 9622.94909375
transcript.pyannote[1556].end 9631.36971875
transcript.pyannote[1557].speaker SPEAKER_11
transcript.pyannote[1557].start 9631.48784375
transcript.pyannote[1557].end 9635.94284375
transcript.pyannote[1558].speaker SPEAKER_11
transcript.pyannote[1558].start 9635.95971875
transcript.pyannote[1558].end 9637.03971875
transcript.pyannote[1559].speaker SPEAKER_11
transcript.pyannote[1559].start 9637.86659375
transcript.pyannote[1559].end 9638.81159375
transcript.pyannote[1560].speaker SPEAKER_25
transcript.pyannote[1560].start 9639.16596875
transcript.pyannote[1560].end 9659.31471875
transcript.pyannote[1561].speaker SPEAKER_05
transcript.pyannote[1561].start 9647.55284375
transcript.pyannote[1561].end 9651.02909375
transcript.pyannote[1562].speaker SPEAKER_11
transcript.pyannote[1562].start 9651.02909375
transcript.pyannote[1562].end 9651.04596875
transcript.pyannote[1563].speaker SPEAKER_05
transcript.pyannote[1563].start 9651.04596875
transcript.pyannote[1563].end 9651.11346875
transcript.pyannote[1564].speaker SPEAKER_11
transcript.pyannote[1564].start 9651.11346875
transcript.pyannote[1564].end 9651.43409375
transcript.pyannote[1565].speaker SPEAKER_05
transcript.pyannote[1565].start 9651.43409375
transcript.pyannote[1565].end 9651.45096875
transcript.pyannote[1566].speaker SPEAKER_11
transcript.pyannote[1566].start 9657.20534375
transcript.pyannote[1566].end 9657.59346875
transcript.pyannote[1567].speaker SPEAKER_11
transcript.pyannote[1567].start 9658.13346875
transcript.pyannote[1567].end 9662.67284375
transcript.pyannote[1568].speaker SPEAKER_25
transcript.pyannote[1568].start 9662.38596875
transcript.pyannote[1568].end 9662.60534375
transcript.pyannote[1569].speaker SPEAKER_25
transcript.pyannote[1569].start 9662.67284375
transcript.pyannote[1569].end 9662.84159375
transcript.pyannote[1570].speaker SPEAKER_11
transcript.pyannote[1570].start 9662.84159375
transcript.pyannote[1570].end 9670.30034375
transcript.pyannote[1571].speaker SPEAKER_11
transcript.pyannote[1571].start 9671.49846875
transcript.pyannote[1571].end 9672.46034375
transcript.pyannote[1572].speaker SPEAKER_25
transcript.pyannote[1572].start 9671.51534375
transcript.pyannote[1572].end 9672.10596875
transcript.pyannote[1573].speaker SPEAKER_25
transcript.pyannote[1573].start 9672.46034375
transcript.pyannote[1573].end 9695.95034375
transcript.pyannote[1574].speaker SPEAKER_18
transcript.pyannote[1574].start 9685.99409375
transcript.pyannote[1574].end 9686.55096875
transcript.pyannote[1575].speaker SPEAKER_11
transcript.pyannote[1575].start 9689.75721875
transcript.pyannote[1575].end 9691.36034375
transcript.pyannote[1576].speaker SPEAKER_11
transcript.pyannote[1576].start 9691.61346875
transcript.pyannote[1576].end 9691.98471875
transcript.pyannote[1577].speaker SPEAKER_11
transcript.pyannote[1577].start 9692.01846875
transcript.pyannote[1577].end 9692.25471875
transcript.pyannote[1578].speaker SPEAKER_11
transcript.pyannote[1578].start 9694.81971875
transcript.pyannote[1578].end 9700.59096875
transcript.pyannote[1579].speaker SPEAKER_25
transcript.pyannote[1579].start 9699.19034375
transcript.pyannote[1579].end 9710.85096875
transcript.pyannote[1580].speaker SPEAKER_11
transcript.pyannote[1580].start 9704.37096875
transcript.pyannote[1580].end 9704.80971875
transcript.pyannote[1581].speaker SPEAKER_11
transcript.pyannote[1581].start 9705.80534375
transcript.pyannote[1581].end 9706.98659375
transcript.pyannote[1582].speaker SPEAKER_11
transcript.pyannote[1582].start 9707.74596875
transcript.pyannote[1582].end 9709.70346875
transcript.pyannote[1583].speaker SPEAKER_11
transcript.pyannote[1583].start 9709.92284375
transcript.pyannote[1583].end 9712.01534375
transcript.pyannote[1584].speaker SPEAKER_25
transcript.pyannote[1584].start 9711.96471875
transcript.pyannote[1584].end 9711.98159375
transcript.pyannote[1585].speaker SPEAKER_25
transcript.pyannote[1585].start 9712.01534375
transcript.pyannote[1585].end 9712.04909375
transcript.pyannote[1586].speaker SPEAKER_11
transcript.pyannote[1586].start 9712.04909375
transcript.pyannote[1586].end 9716.80784375
transcript.pyannote[1587].speaker SPEAKER_25
transcript.pyannote[1587].start 9712.18409375
transcript.pyannote[1587].end 9712.20096875
transcript.pyannote[1588].speaker SPEAKER_11
transcript.pyannote[1588].start 9716.99346875
transcript.pyannote[1588].end 9723.65909375
transcript.pyannote[1589].speaker SPEAKER_11
transcript.pyannote[1589].start 9724.03034375
transcript.pyannote[1589].end 9725.46471875
transcript.pyannote[1590].speaker SPEAKER_11
transcript.pyannote[1590].start 9725.70096875
transcript.pyannote[1590].end 9729.71721875
transcript.pyannote[1591].speaker SPEAKER_11
transcript.pyannote[1591].start 9730.08846875
transcript.pyannote[1591].end 9735.89346875
transcript.pyannote[1592].speaker SPEAKER_00
transcript.pyannote[1592].start 9731.80971875
transcript.pyannote[1592].end 9731.94471875
transcript.pyannote[1593].speaker SPEAKER_18
transcript.pyannote[1593].start 9731.94471875
transcript.pyannote[1593].end 9732.01221875
transcript.pyannote[1594].speaker SPEAKER_00
transcript.pyannote[1594].start 9732.01221875
transcript.pyannote[1594].end 9732.38346875
transcript.pyannote[1595].speaker SPEAKER_11
transcript.pyannote[1595].start 9736.31534375
transcript.pyannote[1595].end 9750.84471875
transcript.pyannote[1596].speaker SPEAKER_11
transcript.pyannote[1596].start 9751.31721875
transcript.pyannote[1596].end 9753.69659375
transcript.pyannote[1597].speaker SPEAKER_11
transcript.pyannote[1597].start 9753.96659375
transcript.pyannote[1597].end 9756.17721875
transcript.pyannote[1598].speaker SPEAKER_22
transcript.pyannote[1598].start 9754.52346875
transcript.pyannote[1598].end 9754.91159375
transcript.pyannote[1599].speaker SPEAKER_11
transcript.pyannote[1599].start 9756.34596875
transcript.pyannote[1599].end 9765.96471875
transcript.pyannote[1600].speaker SPEAKER_18
transcript.pyannote[1600].start 9756.83534375
transcript.pyannote[1600].end 9756.86909375
transcript.pyannote[1601].speaker SPEAKER_25
transcript.pyannote[1601].start 9766.87596875
transcript.pyannote[1601].end 9778.19909375
transcript.pyannote[1602].speaker SPEAKER_11
transcript.pyannote[1602].start 9768.46221875
transcript.pyannote[1602].end 9769.30596875
transcript.pyannote[1603].speaker SPEAKER_11
transcript.pyannote[1603].start 9770.23409375
transcript.pyannote[1603].end 9771.65159375
transcript.pyannote[1604].speaker SPEAKER_11
transcript.pyannote[1604].start 9771.78659375
transcript.pyannote[1604].end 9772.47846875
transcript.pyannote[1605].speaker SPEAKER_11
transcript.pyannote[1605].start 9776.64659375
transcript.pyannote[1605].end 9783.46409375
transcript.pyannote[1606].speaker SPEAKER_25
transcript.pyannote[1606].start 9782.31659375
transcript.pyannote[1606].end 9789.96096875
transcript.pyannote[1607].speaker SPEAKER_11
transcript.pyannote[1607].start 9787.73346875
transcript.pyannote[1607].end 9788.20596875
transcript.pyannote[1608].speaker SPEAKER_11
transcript.pyannote[1608].start 9788.88096875
transcript.pyannote[1608].end 9833.14409375
transcript.pyannote[1609].speaker SPEAKER_25
transcript.pyannote[1609].start 9791.71596875
transcript.pyannote[1609].end 9792.61034375
transcript.pyannote[1610].speaker SPEAKER_13
transcript.pyannote[1610].start 9796.20471875
transcript.pyannote[1610].end 9796.23846875
transcript.pyannote[1611].speaker SPEAKER_25
transcript.pyannote[1611].start 9796.23846875
transcript.pyannote[1611].end 9796.39034375
transcript.pyannote[1612].speaker SPEAKER_13
transcript.pyannote[1612].start 9796.39034375
transcript.pyannote[1612].end 9796.44096875
transcript.pyannote[1613].speaker SPEAKER_25
transcript.pyannote[1613].start 9834.24096875
transcript.pyannote[1613].end 9834.25784375
transcript.pyannote[1614].speaker SPEAKER_11
transcript.pyannote[1614].start 9834.25784375
transcript.pyannote[1614].end 9836.23221875
transcript.pyannote[1615].speaker SPEAKER_25
transcript.pyannote[1615].start 9834.27471875
transcript.pyannote[1615].end 9837.61596875
transcript.pyannote[1616].speaker SPEAKER_11
transcript.pyannote[1616].start 9837.16034375
transcript.pyannote[1616].end 9841.29471875
transcript.pyannote[1617].speaker SPEAKER_11
transcript.pyannote[1617].start 9841.58159375
transcript.pyannote[1617].end 9843.35346875
transcript.pyannote[1618].speaker SPEAKER_11
transcript.pyannote[1618].start 9843.57284375
transcript.pyannote[1618].end 9888.46034375
transcript.pyannote[1619].speaker SPEAKER_11
transcript.pyannote[1619].start 9888.93284375
transcript.pyannote[1619].end 9894.92346875
transcript.pyannote[1620].speaker SPEAKER_11
transcript.pyannote[1620].start 9896.29034375
transcript.pyannote[1620].end 9898.61909375
transcript.pyannote[1621].speaker SPEAKER_25
transcript.pyannote[1621].start 9899.80034375
transcript.pyannote[1621].end 9910.53284375
transcript.pyannote[1622].speaker SPEAKER_11
transcript.pyannote[1622].start 9910.17846875
transcript.pyannote[1622].end 9913.99221875
transcript.pyannote[1623].speaker SPEAKER_25
transcript.pyannote[1623].start 9910.80284375
transcript.pyannote[1623].end 9911.27534375
transcript.pyannote[1624].speaker SPEAKER_25
transcript.pyannote[1624].start 9912.49034375
transcript.pyannote[1624].end 9912.59159375
transcript.pyannote[1625].speaker SPEAKER_25
transcript.pyannote[1625].start 9912.65909375
transcript.pyannote[1625].end 9912.79409375
transcript.pyannote[1626].speaker SPEAKER_11
transcript.pyannote[1626].start 9914.38034375
transcript.pyannote[1626].end 9922.09221875
transcript.pyannote[1627].speaker SPEAKER_25
transcript.pyannote[1627].start 9919.98284375
transcript.pyannote[1627].end 9920.74221875
transcript.pyannote[1628].speaker SPEAKER_25
transcript.pyannote[1628].start 9921.58596875
transcript.pyannote[1628].end 9932.70659375
transcript.pyannote[1629].speaker SPEAKER_11
transcript.pyannote[1629].start 9931.17096875
transcript.pyannote[1629].end 9944.63721875
transcript.pyannote[1630].speaker SPEAKER_11
transcript.pyannote[1630].start 9945.00846875
transcript.pyannote[1630].end 9953.96909375
transcript.pyannote[1631].speaker SPEAKER_25
transcript.pyannote[1631].start 9954.10409375
transcript.pyannote[1631].end 9966.77721875
transcript.pyannote[1632].speaker SPEAKER_11
transcript.pyannote[1632].start 9965.96721875
transcript.pyannote[1632].end 9967.68846875
transcript.pyannote[1633].speaker SPEAKER_25
transcript.pyannote[1633].start 9967.78971875
transcript.pyannote[1633].end 9968.16096875
transcript.pyannote[1634].speaker SPEAKER_11
transcript.pyannote[1634].start 9968.49846875
transcript.pyannote[1634].end 9972.29534375
transcript.pyannote[1635].speaker SPEAKER_25
transcript.pyannote[1635].start 9974.15159375
transcript.pyannote[1635].end 9975.23159375
transcript.pyannote[1636].speaker SPEAKER_11
transcript.pyannote[1636].start 9975.26534375
transcript.pyannote[1636].end 9976.36221875
transcript.pyannote[1637].speaker SPEAKER_25
transcript.pyannote[1637].start 9976.36221875
transcript.pyannote[1637].end 9976.81784375
transcript.pyannote[1638].speaker SPEAKER_11
transcript.pyannote[1638].start 9977.07096875
transcript.pyannote[1638].end 9990.41909375
transcript.pyannote[1639].speaker SPEAKER_11
transcript.pyannote[1639].start 9990.84096875
transcript.pyannote[1639].end 9996.62909375
transcript.pyannote[1640].speaker SPEAKER_11
transcript.pyannote[1640].start 9996.83159375
transcript.pyannote[1640].end 10001.13471875
transcript.pyannote[1641].speaker SPEAKER_11
transcript.pyannote[1641].start 10001.74221875
transcript.pyannote[1641].end 10002.73784375
transcript.pyannote[1642].speaker SPEAKER_25
transcript.pyannote[1642].start 10003.53096875
transcript.pyannote[1642].end 10007.59784375
transcript.pyannote[1643].speaker SPEAKER_20
transcript.pyannote[1643].start 10004.79659375
transcript.pyannote[1643].end 10004.84721875
transcript.pyannote[1644].speaker SPEAKER_20
transcript.pyannote[1644].start 10004.96534375
transcript.pyannote[1644].end 10005.11721875
transcript.pyannote[1645].speaker SPEAKER_22
transcript.pyannote[1645].start 10005.11721875
transcript.pyannote[1645].end 10005.18471875
transcript.pyannote[1646].speaker SPEAKER_15
transcript.pyannote[1646].start 10005.18471875
transcript.pyannote[1646].end 10005.23534375
transcript.pyannote[1647].speaker SPEAKER_20
transcript.pyannote[1647].start 10005.23534375
transcript.pyannote[1647].end 10005.53909375
transcript.pyannote[1648].speaker SPEAKER_15
transcript.pyannote[1648].start 10005.53909375
transcript.pyannote[1648].end 10005.72471875
transcript.pyannote[1649].speaker SPEAKER_00
transcript.pyannote[1649].start 10005.72471875
transcript.pyannote[1649].end 10005.80909375
transcript.pyannote[1650].speaker SPEAKER_00
transcript.pyannote[1650].start 10006.14659375
transcript.pyannote[1650].end 10006.18034375
transcript.pyannote[1651].speaker SPEAKER_11
transcript.pyannote[1651].start 10006.18034375
transcript.pyannote[1651].end 10006.19721875
transcript.pyannote[1652].speaker SPEAKER_22
transcript.pyannote[1652].start 10006.19721875
transcript.pyannote[1652].end 10006.21409375
transcript.pyannote[1653].speaker SPEAKER_15
transcript.pyannote[1653].start 10006.21409375
transcript.pyannote[1653].end 10006.97346875
transcript.pyannote[1654].speaker SPEAKER_11
transcript.pyannote[1654].start 10006.97346875
transcript.pyannote[1654].end 10007.22659375
transcript.pyannote[1655].speaker SPEAKER_25
transcript.pyannote[1655].start 10007.68221875
transcript.pyannote[1655].end 10007.69909375
transcript.pyannote[1656].speaker SPEAKER_11
transcript.pyannote[1656].start 10007.69909375
transcript.pyannote[1656].end 10013.50409375
transcript.pyannote[1657].speaker SPEAKER_11
transcript.pyannote[1657].start 10014.14534375
transcript.pyannote[1657].end 10016.77784375
transcript.pyannote[1658].speaker SPEAKER_25
transcript.pyannote[1658].start 10017.08159375
transcript.pyannote[1658].end 10030.51409375
transcript.pyannote[1659].speaker SPEAKER_11
transcript.pyannote[1659].start 10029.38346875
transcript.pyannote[1659].end 10042.57971875
transcript.pyannote[1660].speaker SPEAKER_25
transcript.pyannote[1660].start 10036.15034375
transcript.pyannote[1660].end 10036.97721875
transcript.pyannote[1661].speaker SPEAKER_16
transcript.pyannote[1661].start 10036.97721875
transcript.pyannote[1661].end 10037.11221875
transcript.pyannote[1662].speaker SPEAKER_11
transcript.pyannote[1662].start 10042.78221875
transcript.pyannote[1662].end 10045.54971875
transcript.pyannote[1663].speaker SPEAKER_25
transcript.pyannote[1663].start 10046.56221875
transcript.pyannote[1663].end 10059.25221875
transcript.pyannote[1664].speaker SPEAKER_11
transcript.pyannote[1664].start 10058.37471875
transcript.pyannote[1664].end 10072.41471875
transcript.pyannote[1665].speaker SPEAKER_25
transcript.pyannote[1665].start 10070.15346875
transcript.pyannote[1665].end 10071.04784375
transcript.pyannote[1666].speaker SPEAKER_25
transcript.pyannote[1666].start 10072.41471875
transcript.pyannote[1666].end 10084.78409375
transcript.pyannote[1667].speaker SPEAKER_11
transcript.pyannote[1667].start 10072.85346875
transcript.pyannote[1667].end 10074.33846875
transcript.pyannote[1668].speaker SPEAKER_11
transcript.pyannote[1668].start 10080.63284375
transcript.pyannote[1668].end 10084.41284375
transcript.pyannote[1669].speaker SPEAKER_11
transcript.pyannote[1669].start 10084.63221875
transcript.pyannote[1669].end 10093.52534375
transcript.pyannote[1670].speaker SPEAKER_11
transcript.pyannote[1670].start 10094.04846875
transcript.pyannote[1670].end 10107.61596875
transcript.pyannote[1671].speaker SPEAKER_25
transcript.pyannote[1671].start 10107.46409375
transcript.pyannote[1671].end 10126.11096875
transcript.pyannote[1672].speaker SPEAKER_11
transcript.pyannote[1672].start 10124.77784375
transcript.pyannote[1672].end 10128.57471875
transcript.pyannote[1673].speaker SPEAKER_11
transcript.pyannote[1673].start 10129.01346875
transcript.pyannote[1673].end 10134.83534375
transcript.pyannote[1674].speaker SPEAKER_11
transcript.pyannote[1674].start 10134.97034375
transcript.pyannote[1674].end 10141.51784375
transcript.pyannote[1675].speaker SPEAKER_11
transcript.pyannote[1675].start 10141.73721875
transcript.pyannote[1675].end 10144.74096875
transcript.pyannote[1676].speaker SPEAKER_25
transcript.pyannote[1676].start 10141.85534375
transcript.pyannote[1676].end 10146.96846875
transcript.pyannote[1677].speaker SPEAKER_11
transcript.pyannote[1677].start 10146.71534375
transcript.pyannote[1677].end 10147.57596875
transcript.pyannote[1678].speaker SPEAKER_25
transcript.pyannote[1678].start 10147.57596875
transcript.pyannote[1678].end 10153.66784375
transcript.pyannote[1679].speaker SPEAKER_11
transcript.pyannote[1679].start 10148.45346875
transcript.pyannote[1679].end 10148.95971875
transcript.pyannote[1680].speaker SPEAKER_11
transcript.pyannote[1680].start 10150.91721875
transcript.pyannote[1680].end 10152.50346875
transcript.pyannote[1681].speaker SPEAKER_11
transcript.pyannote[1681].start 10153.04346875
transcript.pyannote[1681].end 10167.80909375
transcript.pyannote[1682].speaker SPEAKER_25
transcript.pyannote[1682].start 10167.80909375
transcript.pyannote[1682].end 10175.21721875
transcript.pyannote[1683].speaker SPEAKER_11
transcript.pyannote[1683].start 10173.96846875
transcript.pyannote[1683].end 10184.04284375
transcript.pyannote[1684].speaker SPEAKER_25
transcript.pyannote[1684].start 10178.18721875
transcript.pyannote[1684].end 10180.14471875
transcript.pyannote[1685].speaker SPEAKER_25
transcript.pyannote[1685].start 10184.17784375
transcript.pyannote[1685].end 10184.32971875
transcript.pyannote[1686].speaker SPEAKER_11
transcript.pyannote[1686].start 10184.32971875
transcript.pyannote[1686].end 10184.34659375
transcript.pyannote[1687].speaker SPEAKER_25
transcript.pyannote[1687].start 10184.34659375
transcript.pyannote[1687].end 10184.39721875
transcript.pyannote[1688].speaker SPEAKER_11
transcript.pyannote[1688].start 10184.39721875
transcript.pyannote[1688].end 10184.43096875
transcript.pyannote[1689].speaker SPEAKER_25
transcript.pyannote[1689].start 10184.43096875
transcript.pyannote[1689].end 10187.68784375
transcript.pyannote[1690].speaker SPEAKER_11
transcript.pyannote[1690].start 10184.44784375
transcript.pyannote[1690].end 10186.48971875
transcript.pyannote[1691].speaker SPEAKER_11
transcript.pyannote[1691].start 10187.14784375
transcript.pyannote[1691].end 10188.78471875
transcript.pyannote[1692].speaker SPEAKER_25
transcript.pyannote[1692].start 10188.93659375
transcript.pyannote[1692].end 10195.33221875
transcript.pyannote[1693].speaker SPEAKER_11
transcript.pyannote[1693].start 10195.33221875
transcript.pyannote[1693].end 10203.97221875
transcript.pyannote[1694].speaker SPEAKER_25
transcript.pyannote[1694].start 10204.39409375
transcript.pyannote[1694].end 10211.38034375
transcript.pyannote[1695].speaker SPEAKER_11
transcript.pyannote[1695].start 10204.59659375
transcript.pyannote[1695].end 10205.28846875
transcript.pyannote[1696].speaker SPEAKER_02
transcript.pyannote[1696].start 10205.28846875
transcript.pyannote[1696].end 10205.49096875
transcript.pyannote[1697].speaker SPEAKER_11
transcript.pyannote[1697].start 10205.49096875
transcript.pyannote[1697].end 10205.57534375
transcript.pyannote[1698].speaker SPEAKER_02
transcript.pyannote[1698].start 10205.57534375
transcript.pyannote[1698].end 10205.59221875
transcript.pyannote[1699].speaker SPEAKER_11
transcript.pyannote[1699].start 10205.59221875
transcript.pyannote[1699].end 10205.91284375
transcript.pyannote[1700].speaker SPEAKER_11
transcript.pyannote[1700].start 10211.05971875
transcript.pyannote[1700].end 10212.59534375
transcript.pyannote[1701].speaker SPEAKER_11
transcript.pyannote[1701].start 10212.98346875
transcript.pyannote[1701].end 10213.01721875
transcript.pyannote[1702].speaker SPEAKER_25
transcript.pyannote[1702].start 10213.01721875
transcript.pyannote[1702].end 10213.42221875
transcript.pyannote[1703].speaker SPEAKER_04
transcript.pyannote[1703].start 10213.42221875
transcript.pyannote[1703].end 10213.45596875
transcript.pyannote[1704].speaker SPEAKER_25
transcript.pyannote[1704].start 10213.45596875
transcript.pyannote[1704].end 10213.50659375
transcript.pyannote[1705].speaker SPEAKER_04
transcript.pyannote[1705].start 10213.50659375
transcript.pyannote[1705].end 10213.69221875
transcript.pyannote[1706].speaker SPEAKER_11
transcript.pyannote[1706].start 10213.69221875
transcript.pyannote[1706].end 10214.06346875
transcript.pyannote[1707].speaker SPEAKER_04
transcript.pyannote[1707].start 10214.06346875
transcript.pyannote[1707].end 10214.11409375
transcript.pyannote[1708].speaker SPEAKER_04
transcript.pyannote[1708].start 10214.53596875
transcript.pyannote[1708].end 10215.56534375
transcript.pyannote[1709].speaker SPEAKER_04
transcript.pyannote[1709].start 10218.60284375
transcript.pyannote[1709].end 10220.03721875
transcript.pyannote[1710].speaker SPEAKER_04
transcript.pyannote[1710].start 10221.18471875
transcript.pyannote[1710].end 10222.02846875
transcript.pyannote[1711].speaker SPEAKER_04
transcript.pyannote[1711].start 10222.58534375
transcript.pyannote[1711].end 10224.55971875
transcript.pyannote[1712].speaker SPEAKER_20
transcript.pyannote[1712].start 10230.51659375
transcript.pyannote[1712].end 10232.01846875
transcript.pyannote[1713].speaker SPEAKER_04
transcript.pyannote[1713].start 10232.37284375
transcript.pyannote[1713].end 10232.99721875
transcript.pyannote[1714].speaker SPEAKER_02
transcript.pyannote[1714].start 10236.92909375
transcript.pyannote[1714].end 10237.58721875
transcript.pyannote[1715].speaker SPEAKER_02
transcript.pyannote[1715].start 10237.99221875
transcript.pyannote[1715].end 10239.37596875
transcript.pyannote[1716].speaker SPEAKER_02
transcript.pyannote[1716].start 10239.57846875
transcript.pyannote[1716].end 10248.79221875
transcript.pyannote[1717].speaker SPEAKER_25
transcript.pyannote[1717].start 10241.99159375
transcript.pyannote[1717].end 10242.53159375
transcript.pyannote[1718].speaker SPEAKER_02
transcript.pyannote[1718].start 10249.46721875
transcript.pyannote[1718].end 10252.70721875
transcript.pyannote[1719].speaker SPEAKER_02
transcript.pyannote[1719].start 10253.07846875
transcript.pyannote[1719].end 10254.81659375
transcript.pyannote[1720].speaker SPEAKER_02
transcript.pyannote[1720].start 10255.23846875
transcript.pyannote[1720].end 10259.38971875
transcript.pyannote[1721].speaker SPEAKER_02
transcript.pyannote[1721].start 10259.98034375
transcript.pyannote[1721].end 10260.35159375
transcript.pyannote[1722].speaker SPEAKER_02
transcript.pyannote[1722].start 10260.87471875
transcript.pyannote[1722].end 10263.42284375
transcript.pyannote[1723].speaker SPEAKER_02
transcript.pyannote[1723].start 10263.87846875
transcript.pyannote[1723].end 10268.53596875
transcript.pyannote[1724].speaker SPEAKER_02
transcript.pyannote[1724].start 10269.36284375
transcript.pyannote[1724].end 10276.77096875
transcript.pyannote[1725].speaker SPEAKER_02
transcript.pyannote[1725].start 10277.17596875
transcript.pyannote[1725].end 10278.07034375
transcript.pyannote[1726].speaker SPEAKER_02
transcript.pyannote[1726].start 10278.39096875
transcript.pyannote[1726].end 10281.59721875
transcript.pyannote[1727].speaker SPEAKER_02
transcript.pyannote[1727].start 10282.25534375
transcript.pyannote[1727].end 10291.62096875
transcript.pyannote[1728].speaker SPEAKER_02
transcript.pyannote[1728].start 10292.21159375
transcript.pyannote[1728].end 10292.51534375
transcript.pyannote[1729].speaker SPEAKER_25
transcript.pyannote[1729].start 10292.27909375
transcript.pyannote[1729].end 10295.26596875
transcript.pyannote[1730].speaker SPEAKER_02
transcript.pyannote[1730].start 10293.81471875
transcript.pyannote[1730].end 10294.16909375
transcript.pyannote[1731].speaker SPEAKER_02
transcript.pyannote[1731].start 10294.74284375
transcript.pyannote[1731].end 10318.36784375
transcript.pyannote[1732].speaker SPEAKER_25
transcript.pyannote[1732].start 10295.36721875
transcript.pyannote[1732].end 10295.60346875
transcript.pyannote[1733].speaker SPEAKER_25
transcript.pyannote[1733].start 10299.90659375
transcript.pyannote[1733].end 10300.49721875
transcript.pyannote[1734].speaker SPEAKER_02
transcript.pyannote[1734].start 10318.58721875
transcript.pyannote[1734].end 10319.59971875
transcript.pyannote[1735].speaker SPEAKER_02
transcript.pyannote[1735].start 10319.98784375
transcript.pyannote[1735].end 10324.96596875
transcript.pyannote[1736].speaker SPEAKER_02
transcript.pyannote[1736].start 10325.47221875
transcript.pyannote[1736].end 10328.20596875
transcript.pyannote[1737].speaker SPEAKER_25
transcript.pyannote[1737].start 10328.20596875
transcript.pyannote[1737].end 10328.22284375
transcript.pyannote[1738].speaker SPEAKER_25
transcript.pyannote[1738].start 10328.94846875
transcript.pyannote[1738].end 10332.45846875
transcript.pyannote[1739].speaker SPEAKER_02
transcript.pyannote[1739].start 10332.45846875
transcript.pyannote[1739].end 10339.91721875
transcript.pyannote[1740].speaker SPEAKER_25
transcript.pyannote[1740].start 10340.52471875
transcript.pyannote[1740].end 10342.85346875
transcript.pyannote[1741].speaker SPEAKER_02
transcript.pyannote[1741].start 10340.96346875
transcript.pyannote[1741].end 10342.44846875
transcript.pyannote[1742].speaker SPEAKER_25
transcript.pyannote[1742].start 10342.88721875
transcript.pyannote[1742].end 10345.45221875
transcript.pyannote[1743].speaker SPEAKER_02
transcript.pyannote[1743].start 10344.64221875
transcript.pyannote[1743].end 10362.05721875
transcript.pyannote[1744].speaker SPEAKER_25
transcript.pyannote[1744].start 10349.63721875
transcript.pyannote[1744].end 10349.95784375
transcript.pyannote[1745].speaker SPEAKER_25
transcript.pyannote[1745].start 10355.72909375
transcript.pyannote[1745].end 10357.16346875
transcript.pyannote[1746].speaker SPEAKER_25
transcript.pyannote[1746].start 10358.63159375
transcript.pyannote[1746].end 10359.03659375
transcript.pyannote[1747].speaker SPEAKER_25
transcript.pyannote[1747].start 10362.56346875
transcript.pyannote[1747].end 10365.48284375
transcript.pyannote[1748].speaker SPEAKER_02
transcript.pyannote[1748].start 10364.65596875
transcript.pyannote[1748].end 10390.40721875
transcript.pyannote[1749].speaker SPEAKER_02
transcript.pyannote[1749].start 10390.60971875
transcript.pyannote[1749].end 10412.71596875
transcript.pyannote[1750].speaker SPEAKER_02
transcript.pyannote[1750].start 10413.17159375
transcript.pyannote[1750].end 10414.16721875
transcript.pyannote[1751].speaker SPEAKER_25
transcript.pyannote[1751].start 10413.35721875
transcript.pyannote[1751].end 10427.21159375
transcript.pyannote[1752].speaker SPEAKER_02
transcript.pyannote[1752].start 10425.03471875
transcript.pyannote[1752].end 10441.35284375
transcript.pyannote[1753].speaker SPEAKER_25
transcript.pyannote[1753].start 10427.73471875
transcript.pyannote[1753].end 10428.69659375
transcript.pyannote[1754].speaker SPEAKER_25
transcript.pyannote[1754].start 10430.08034375
transcript.pyannote[1754].end 10430.72159375
transcript.pyannote[1755].speaker SPEAKER_03
transcript.pyannote[1755].start 10438.26471875
transcript.pyannote[1755].end 10438.29846875
transcript.pyannote[1756].speaker SPEAKER_25
transcript.pyannote[1756].start 10438.29846875
transcript.pyannote[1756].end 10438.95659375
transcript.pyannote[1757].speaker SPEAKER_02
transcript.pyannote[1757].start 10441.77471875
transcript.pyannote[1757].end 10441.79159375
transcript.pyannote[1758].speaker SPEAKER_25
transcript.pyannote[1758].start 10441.79159375
transcript.pyannote[1758].end 10447.19159375
transcript.pyannote[1759].speaker SPEAKER_02
transcript.pyannote[1759].start 10447.19159375
transcript.pyannote[1759].end 10447.20846875
transcript.pyannote[1760].speaker SPEAKER_25
transcript.pyannote[1760].start 10447.20846875
transcript.pyannote[1760].end 10447.30971875
transcript.pyannote[1761].speaker SPEAKER_02
transcript.pyannote[1761].start 10447.30971875
transcript.pyannote[1761].end 10447.41096875
transcript.pyannote[1762].speaker SPEAKER_25
transcript.pyannote[1762].start 10447.41096875
transcript.pyannote[1762].end 10447.44471875
transcript.pyannote[1763].speaker SPEAKER_02
transcript.pyannote[1763].start 10447.44471875
transcript.pyannote[1763].end 10447.52909375
transcript.pyannote[1764].speaker SPEAKER_25
transcript.pyannote[1764].start 10447.52909375
transcript.pyannote[1764].end 10447.73159375
transcript.pyannote[1765].speaker SPEAKER_02
transcript.pyannote[1765].start 10447.73159375
transcript.pyannote[1765].end 10447.96784375
transcript.pyannote[1766].speaker SPEAKER_25
transcript.pyannote[1766].start 10447.96784375
transcript.pyannote[1766].end 10448.03534375
transcript.pyannote[1767].speaker SPEAKER_02
transcript.pyannote[1767].start 10448.03534375
transcript.pyannote[1767].end 10454.21159375
transcript.pyannote[1768].speaker SPEAKER_25
transcript.pyannote[1768].start 10454.58284375
transcript.pyannote[1768].end 10458.07596875
transcript.pyannote[1769].speaker SPEAKER_02
transcript.pyannote[1769].start 10457.19846875
transcript.pyannote[1769].end 10462.19346875
transcript.pyannote[1770].speaker SPEAKER_25
transcript.pyannote[1770].start 10462.46346875
transcript.pyannote[1770].end 10462.93596875
transcript.pyannote[1771].speaker SPEAKER_02
transcript.pyannote[1771].start 10463.10471875
transcript.pyannote[1771].end 10463.62784375
transcript.pyannote[1772].speaker SPEAKER_02
transcript.pyannote[1772].start 10463.94846875
transcript.pyannote[1772].end 10464.21846875
transcript.pyannote[1773].speaker SPEAKER_02
transcript.pyannote[1773].start 10464.60659375
transcript.pyannote[1773].end 10465.34909375
transcript.pyannote[1774].speaker SPEAKER_02
transcript.pyannote[1774].start 10465.70346875
transcript.pyannote[1774].end 10467.52596875
transcript.pyannote[1775].speaker SPEAKER_02
transcript.pyannote[1775].start 10467.93096875
transcript.pyannote[1775].end 10469.23034375
transcript.pyannote[1776].speaker SPEAKER_02
transcript.pyannote[1776].start 10471.28909375
transcript.pyannote[1776].end 10472.25096875
transcript.pyannote[1777].speaker SPEAKER_02
transcript.pyannote[1777].start 10473.51659375
transcript.pyannote[1777].end 10477.04346875
transcript.pyannote[1778].speaker SPEAKER_02
transcript.pyannote[1778].start 10478.07284375
transcript.pyannote[1778].end 10479.10221875
transcript.pyannote[1779].speaker SPEAKER_02
transcript.pyannote[1779].start 10479.32159375
transcript.pyannote[1779].end 10480.70534375
transcript.pyannote[1780].speaker SPEAKER_02
transcript.pyannote[1780].start 10481.51534375
transcript.pyannote[1780].end 10483.67534375
transcript.pyannote[1781].speaker SPEAKER_02
transcript.pyannote[1781].start 10484.11409375
transcript.pyannote[1781].end 10487.06721875
transcript.pyannote[1782].speaker SPEAKER_02
transcript.pyannote[1782].start 10487.72534375
transcript.pyannote[1782].end 10488.67034375
transcript.pyannote[1783].speaker SPEAKER_25
transcript.pyannote[1783].start 10489.54784375
transcript.pyannote[1783].end 10493.15909375
transcript.pyannote[1784].speaker SPEAKER_02
transcript.pyannote[1784].start 10491.75846875
transcript.pyannote[1784].end 10503.48659375
transcript.pyannote[1785].speaker SPEAKER_02
transcript.pyannote[1785].start 10504.63409375
transcript.pyannote[1785].end 10508.02596875
transcript.pyannote[1786].speaker SPEAKER_02
transcript.pyannote[1786].start 10508.39721875
transcript.pyannote[1786].end 10524.61409375
transcript.pyannote[1787].speaker SPEAKER_00
transcript.pyannote[1787].start 10513.25721875
transcript.pyannote[1787].end 10513.51034375
transcript.pyannote[1788].speaker SPEAKER_02
transcript.pyannote[1788].start 10525.27221875
transcript.pyannote[1788].end 10530.97596875
transcript.pyannote[1789].speaker SPEAKER_25
transcript.pyannote[1789].start 10530.97596875
transcript.pyannote[1789].end 10531.31346875
transcript.pyannote[1790].speaker SPEAKER_02
transcript.pyannote[1790].start 10532.15721875
transcript.pyannote[1790].end 10532.17409375
transcript.pyannote[1791].speaker SPEAKER_25
transcript.pyannote[1791].start 10532.17409375
transcript.pyannote[1791].end 10536.24096875
transcript.pyannote[1792].speaker SPEAKER_25
transcript.pyannote[1792].start 10536.40971875
transcript.pyannote[1792].end 10537.96221875
transcript.pyannote[1793].speaker SPEAKER_02
transcript.pyannote[1793].start 10536.42659375
transcript.pyannote[1793].end 10537.35471875
transcript.pyannote[1794].speaker SPEAKER_02
transcript.pyannote[1794].start 10537.96221875
transcript.pyannote[1794].end 10542.88971875
transcript.pyannote[1795].speaker SPEAKER_25
transcript.pyannote[1795].start 10538.51909375
transcript.pyannote[1795].end 10538.92409375
transcript.pyannote[1796].speaker SPEAKER_25
transcript.pyannote[1796].start 10540.67909375
transcript.pyannote[1796].end 10540.99971875
transcript.pyannote[1797].speaker SPEAKER_25
transcript.pyannote[1797].start 10541.99534375
transcript.pyannote[1797].end 10545.84284375
transcript.pyannote[1798].speaker SPEAKER_02
transcript.pyannote[1798].start 10544.39159375
transcript.pyannote[1798].end 10545.45471875
transcript.pyannote[1799].speaker SPEAKER_02
transcript.pyannote[1799].start 10546.31534375
transcript.pyannote[1799].end 10579.06971875
transcript.pyannote[1800].speaker SPEAKER_02
transcript.pyannote[1800].start 10579.27221875
transcript.pyannote[1800].end 10579.76159375
transcript.pyannote[1801].speaker SPEAKER_02
transcript.pyannote[1801].start 10580.16659375
transcript.pyannote[1801].end 10598.00346875
transcript.pyannote[1802].speaker SPEAKER_02
transcript.pyannote[1802].start 10598.29034375
transcript.pyannote[1802].end 10600.82159375
transcript.pyannote[1803].speaker SPEAKER_02
transcript.pyannote[1803].start 10601.34471875
transcript.pyannote[1803].end 10607.35221875
transcript.pyannote[1804].speaker SPEAKER_18
transcript.pyannote[1804].start 10607.35221875
transcript.pyannote[1804].end 10607.63909375
transcript.pyannote[1805].speaker SPEAKER_02
transcript.pyannote[1805].start 10607.62221875
transcript.pyannote[1805].end 10610.71034375
transcript.pyannote[1806].speaker SPEAKER_02
transcript.pyannote[1806].start 10611.41909375
transcript.pyannote[1806].end 10615.73909375
transcript.pyannote[1807].speaker SPEAKER_02
transcript.pyannote[1807].start 10616.27909375
transcript.pyannote[1807].end 10618.81034375
transcript.pyannote[1808].speaker SPEAKER_02
transcript.pyannote[1808].start 10619.28284375
transcript.pyannote[1808].end 10626.35346875
transcript.pyannote[1809].speaker SPEAKER_25
transcript.pyannote[1809].start 10622.38784375
transcript.pyannote[1809].end 10622.40471875
transcript.pyannote[1810].speaker SPEAKER_24
transcript.pyannote[1810].start 10622.40471875
transcript.pyannote[1810].end 10627.33221875
transcript.pyannote[1811].speaker SPEAKER_25
transcript.pyannote[1811].start 10626.35346875
transcript.pyannote[1811].end 10626.40409375
transcript.pyannote[1812].speaker SPEAKER_25
transcript.pyannote[1812].start 10626.57284375
transcript.pyannote[1812].end 10626.58971875
transcript.pyannote[1813].speaker SPEAKER_02
transcript.pyannote[1813].start 10626.58971875
transcript.pyannote[1813].end 10628.69909375
transcript.pyannote[1814].speaker SPEAKER_24
transcript.pyannote[1814].start 10627.88909375
transcript.pyannote[1814].end 10629.27284375
transcript.pyannote[1815].speaker SPEAKER_02
transcript.pyannote[1815].start 10629.17159375
transcript.pyannote[1815].end 10640.41034375
transcript.pyannote[1816].speaker SPEAKER_02
transcript.pyannote[1816].start 10640.54534375
transcript.pyannote[1816].end 10643.63346875
transcript.pyannote[1817].speaker SPEAKER_02
transcript.pyannote[1817].start 10643.92034375
transcript.pyannote[1817].end 10645.64159375
transcript.pyannote[1818].speaker SPEAKER_02
transcript.pyannote[1818].start 10645.82721875
transcript.pyannote[1818].end 10646.14784375
transcript.pyannote[1819].speaker SPEAKER_02
transcript.pyannote[1819].start 10646.53596875
transcript.pyannote[1819].end 10648.76346875
transcript.pyannote[1820].speaker SPEAKER_02
transcript.pyannote[1820].start 10649.11784375
transcript.pyannote[1820].end 10654.77096875
transcript.pyannote[1821].speaker SPEAKER_02
transcript.pyannote[1821].start 10655.59784375
transcript.pyannote[1821].end 10657.90971875
transcript.pyannote[1822].speaker SPEAKER_02
transcript.pyannote[1822].start 10657.99409375
transcript.pyannote[1822].end 10660.39034375
transcript.pyannote[1823].speaker SPEAKER_02
transcript.pyannote[1823].start 10661.08221875
transcript.pyannote[1823].end 10670.48159375
transcript.pyannote[1824].speaker SPEAKER_25
transcript.pyannote[1824].start 10671.54471875
transcript.pyannote[1824].end 10673.90721875
transcript.pyannote[1825].speaker SPEAKER_02
transcript.pyannote[1825].start 10671.89909375
transcript.pyannote[1825].end 10677.23159375
transcript.pyannote[1826].speaker SPEAKER_02
transcript.pyannote[1826].start 10677.94034375
transcript.pyannote[1826].end 10678.69971875
transcript.pyannote[1827].speaker SPEAKER_25
transcript.pyannote[1827].start 10678.69971875
transcript.pyannote[1827].end 10681.51784375
transcript.pyannote[1828].speaker SPEAKER_02
transcript.pyannote[1828].start 10681.11284375
transcript.pyannote[1828].end 10691.60909375
transcript.pyannote[1829].speaker SPEAKER_02
transcript.pyannote[1829].start 10691.96346875
transcript.pyannote[1829].end 10693.02659375
transcript.pyannote[1830].speaker SPEAKER_25
transcript.pyannote[1830].start 10691.99721875
transcript.pyannote[1830].end 10692.85784375
transcript.pyannote[1831].speaker SPEAKER_25
transcript.pyannote[1831].start 10693.24596875
transcript.pyannote[1831].end 10695.79409375
transcript.pyannote[1832].speaker SPEAKER_02
transcript.pyannote[1832].start 10695.69284375
transcript.pyannote[1832].end 10707.55596875
transcript.pyannote[1833].speaker SPEAKER_25
transcript.pyannote[1833].start 10697.02596875
transcript.pyannote[1833].end 10697.88659375
transcript.pyannote[1834].speaker SPEAKER_02
transcript.pyannote[1834].start 10708.75409375
transcript.pyannote[1834].end 10710.52596875
transcript.pyannote[1835].speaker SPEAKER_25
transcript.pyannote[1835].start 10708.87221875
transcript.pyannote[1835].end 10708.97346875
transcript.pyannote[1836].speaker SPEAKER_02
transcript.pyannote[1836].start 10711.25159375
transcript.pyannote[1836].end 10714.23846875
transcript.pyannote[1837].speaker SPEAKER_25
transcript.pyannote[1837].start 10714.03596875
transcript.pyannote[1837].end 10714.20471875
transcript.pyannote[1838].speaker SPEAKER_25
transcript.pyannote[1838].start 10714.23846875
transcript.pyannote[1838].end 10714.81221875
transcript.pyannote[1839].speaker SPEAKER_02
transcript.pyannote[1839].start 10714.81221875
transcript.pyannote[1839].end 10714.89659375
transcript.pyannote[1840].speaker SPEAKER_25
transcript.pyannote[1840].start 10714.89659375
transcript.pyannote[1840].end 10717.39409375
transcript.pyannote[1841].speaker SPEAKER_02
transcript.pyannote[1841].start 10717.39409375
transcript.pyannote[1841].end 10744.44471875
transcript.pyannote[1842].speaker SPEAKER_25
transcript.pyannote[1842].start 10717.44471875
transcript.pyannote[1842].end 10717.46159375
transcript.pyannote[1843].speaker SPEAKER_25
transcript.pyannote[1843].start 10717.47846875
transcript.pyannote[1843].end 10717.96784375
transcript.pyannote[1844].speaker SPEAKER_25
transcript.pyannote[1844].start 10741.99784375
transcript.pyannote[1844].end 10742.33534375
transcript.pyannote[1845].speaker SPEAKER_25
transcript.pyannote[1845].start 10744.59659375
transcript.pyannote[1845].end 10745.11971875
transcript.pyannote[1846].speaker SPEAKER_02
transcript.pyannote[1846].start 10745.11971875
transcript.pyannote[1846].end 10750.43534375
transcript.pyannote[1847].speaker SPEAKER_02
transcript.pyannote[1847].start 10750.65471875
transcript.pyannote[1847].end 10754.28284375
transcript.pyannote[1848].speaker SPEAKER_02
transcript.pyannote[1848].start 10755.12659375
transcript.pyannote[1848].end 10759.44659375
transcript.pyannote[1849].speaker SPEAKER_25
transcript.pyannote[1849].start 10759.44659375
transcript.pyannote[1849].end 10768.52534375
transcript.pyannote[1850].speaker SPEAKER_02
transcript.pyannote[1850].start 10760.00346875
transcript.pyannote[1850].end 10761.92721875
transcript.pyannote[1851].speaker SPEAKER_25
transcript.pyannote[1851].start 10768.74471875
transcript.pyannote[1851].end 10768.76159375
transcript.pyannote[1852].speaker SPEAKER_02
transcript.pyannote[1852].start 10768.76159375
transcript.pyannote[1852].end 10768.82909375
transcript.pyannote[1853].speaker SPEAKER_25
transcript.pyannote[1853].start 10768.82909375
transcript.pyannote[1853].end 10768.84596875
transcript.pyannote[1854].speaker SPEAKER_02
transcript.pyannote[1854].start 10768.84596875
transcript.pyannote[1854].end 10768.98096875
transcript.pyannote[1855].speaker SPEAKER_25
transcript.pyannote[1855].start 10768.98096875
transcript.pyannote[1855].end 10769.03159375
transcript.pyannote[1856].speaker SPEAKER_02
transcript.pyannote[1856].start 10769.03159375
transcript.pyannote[1856].end 10770.76971875
transcript.pyannote[1857].speaker SPEAKER_25
transcript.pyannote[1857].start 10770.76971875
transcript.pyannote[1857].end 10776.43971875
transcript.pyannote[1858].speaker SPEAKER_02
transcript.pyannote[1858].start 10771.19159375
transcript.pyannote[1858].end 10773.19971875
transcript.pyannote[1859].speaker SPEAKER_02
transcript.pyannote[1859].start 10775.57909375
transcript.pyannote[1859].end 10783.64534375
transcript.pyannote[1860].speaker SPEAKER_02
transcript.pyannote[1860].start 10784.13471875
transcript.pyannote[1860].end 10788.04971875
transcript.pyannote[1861].speaker SPEAKER_25
transcript.pyannote[1861].start 10788.72471875
transcript.pyannote[1861].end 10791.67784375
transcript.pyannote[1862].speaker SPEAKER_02
transcript.pyannote[1862].start 10790.19284375
transcript.pyannote[1862].end 10796.16659375
transcript.pyannote[1863].speaker SPEAKER_25
transcript.pyannote[1863].start 10797.36471875
transcript.pyannote[1863].end 10797.39846875
transcript.pyannote[1864].speaker SPEAKER_02
transcript.pyannote[1864].start 10797.39846875
transcript.pyannote[1864].end 10802.08971875
transcript.pyannote[1865].speaker SPEAKER_25
transcript.pyannote[1865].start 10797.82034375
transcript.pyannote[1865].end 10798.14096875
transcript.pyannote[1866].speaker SPEAKER_02
transcript.pyannote[1866].start 10802.73096875
transcript.pyannote[1866].end 10803.69284375
transcript.pyannote[1867].speaker SPEAKER_25
transcript.pyannote[1867].start 10803.69284375
transcript.pyannote[1867].end 10803.74346875
transcript.pyannote[1868].speaker SPEAKER_02
transcript.pyannote[1868].start 10804.04721875
transcript.pyannote[1868].end 10804.06409375
transcript.pyannote[1869].speaker SPEAKER_25
transcript.pyannote[1869].start 10804.06409375
transcript.pyannote[1869].end 10811.67471875
transcript.pyannote[1870].speaker SPEAKER_02
transcript.pyannote[1870].start 10806.74721875
transcript.pyannote[1870].end 10808.36721875
transcript.pyannote[1871].speaker SPEAKER_02
transcript.pyannote[1871].start 10810.84784375
transcript.pyannote[1871].end 10823.11596875
transcript.pyannote[1872].speaker SPEAKER_25
transcript.pyannote[1872].start 10815.62346875
transcript.pyannote[1872].end 10816.01159375
transcript.pyannote[1873].speaker SPEAKER_24
transcript.pyannote[1873].start 10817.80034375
transcript.pyannote[1873].end 10817.88471875
transcript.pyannote[1874].speaker SPEAKER_25
transcript.pyannote[1874].start 10817.88471875
transcript.pyannote[1874].end 10819.31909375
transcript.pyannote[1875].speaker SPEAKER_24
transcript.pyannote[1875].start 10819.31909375
transcript.pyannote[1875].end 10819.47096875
transcript.pyannote[1876].speaker SPEAKER_25
transcript.pyannote[1876].start 10820.29784375
transcript.pyannote[1876].end 10820.71971875
transcript.pyannote[1877].speaker SPEAKER_02
transcript.pyannote[1877].start 10823.67284375
transcript.pyannote[1877].end 10838.13471875
transcript.pyannote[1878].speaker SPEAKER_25
transcript.pyannote[1878].start 10829.73096875
transcript.pyannote[1878].end 10829.96721875
transcript.pyannote[1879].speaker SPEAKER_02
transcript.pyannote[1879].start 10838.92784375
transcript.pyannote[1879].end 10841.74596875
transcript.pyannote[1880].speaker SPEAKER_02
transcript.pyannote[1880].start 10842.06659375
transcript.pyannote[1880].end 10848.41159375
transcript.pyannote[1881].speaker SPEAKER_02
transcript.pyannote[1881].start 10848.56346875
transcript.pyannote[1881].end 10862.40096875
transcript.pyannote[1882].speaker SPEAKER_02
transcript.pyannote[1882].start 10862.53596875
transcript.pyannote[1882].end 10862.97471875
transcript.pyannote[1883].speaker SPEAKER_25
transcript.pyannote[1883].start 10862.97471875
transcript.pyannote[1883].end 10862.99159375
transcript.pyannote[1884].speaker SPEAKER_02
transcript.pyannote[1884].start 10863.34596875
transcript.pyannote[1884].end 10863.97034375
transcript.pyannote[1885].speaker SPEAKER_25
transcript.pyannote[1885].start 10863.97034375
transcript.pyannote[1885].end 10864.24034375
transcript.pyannote[1886].speaker SPEAKER_25
transcript.pyannote[1886].start 10865.50596875
transcript.pyannote[1886].end 10872.88034375
transcript.pyannote[1887].speaker SPEAKER_02
transcript.pyannote[1887].start 10872.01971875
transcript.pyannote[1887].end 10872.40784375
transcript.pyannote[1888].speaker SPEAKER_02
transcript.pyannote[1888].start 10873.62284375
transcript.pyannote[1888].end 10874.78721875
transcript.pyannote[1889].speaker SPEAKER_02
transcript.pyannote[1889].start 10875.29346875
transcript.pyannote[1889].end 10882.85346875
transcript.pyannote[1890].speaker SPEAKER_00
transcript.pyannote[1890].start 10877.72346875
transcript.pyannote[1890].end 10877.84159375
transcript.pyannote[1891].speaker SPEAKER_25
transcript.pyannote[1891].start 10877.84159375
transcript.pyannote[1891].end 10878.71909375
transcript.pyannote[1892].speaker SPEAKER_02
transcript.pyannote[1892].start 10882.97159375
transcript.pyannote[1892].end 10892.10096875
transcript.pyannote[1893].speaker SPEAKER_02
transcript.pyannote[1893].start 10892.33721875
transcript.pyannote[1893].end 10893.14721875
transcript.pyannote[1894].speaker SPEAKER_02
transcript.pyannote[1894].start 10893.26534375
transcript.pyannote[1894].end 10894.17659375
transcript.pyannote[1895].speaker SPEAKER_02
transcript.pyannote[1895].start 10894.46346875
transcript.pyannote[1895].end 10894.71659375
transcript.pyannote[1896].speaker SPEAKER_02
transcript.pyannote[1896].start 10895.10471875
transcript.pyannote[1896].end 10896.28596875
transcript.pyannote[1897].speaker SPEAKER_02
transcript.pyannote[1897].start 10896.55596875
transcript.pyannote[1897].end 10898.95221875
transcript.pyannote[1898].speaker SPEAKER_18
transcript.pyannote[1898].start 10896.89346875
transcript.pyannote[1898].end 10898.00721875
transcript.pyannote[1899].speaker SPEAKER_02
transcript.pyannote[1899].start 10899.81284375
transcript.pyannote[1899].end 10911.23721875
transcript.pyannote[1900].speaker SPEAKER_04
transcript.pyannote[1900].start 10910.20784375
transcript.pyannote[1900].end 10911.50721875
transcript.pyannote[1901].speaker SPEAKER_02
transcript.pyannote[1901].start 10911.50721875
transcript.pyannote[1901].end 10912.97534375
transcript.pyannote[1902].speaker SPEAKER_04
transcript.pyannote[1902].start 10911.57471875
transcript.pyannote[1902].end 10911.74346875
transcript.pyannote[1903].speaker SPEAKER_04
transcript.pyannote[1903].start 10911.86159375
transcript.pyannote[1903].end 10915.27034375
transcript.pyannote[1904].speaker SPEAKER_04
transcript.pyannote[1904].start 10915.92846875
transcript.pyannote[1904].end 10917.80159375
transcript.pyannote[1905].speaker SPEAKER_04
transcript.pyannote[1905].start 10918.15596875
transcript.pyannote[1905].end 10918.96596875
transcript.pyannote[1906].speaker SPEAKER_04
transcript.pyannote[1906].start 10919.38784375
transcript.pyannote[1906].end 10921.07534375
transcript.pyannote[1907].speaker SPEAKER_04
transcript.pyannote[1907].start 10923.82596875
transcript.pyannote[1907].end 10924.95659375
transcript.pyannote[1908].speaker SPEAKER_03
transcript.pyannote[1908].start 10931.57159375
transcript.pyannote[1908].end 10936.19534375
transcript.pyannote[1909].speaker SPEAKER_04
transcript.pyannote[1909].start 10935.41909375
transcript.pyannote[1909].end 10935.77346875
transcript.pyannote[1910].speaker SPEAKER_04
transcript.pyannote[1910].start 10936.19534375
transcript.pyannote[1910].end 10936.22909375
transcript.pyannote[1911].speaker SPEAKER_03
transcript.pyannote[1911].start 10936.22909375
transcript.pyannote[1911].end 10936.27971875
transcript.pyannote[1912].speaker SPEAKER_04
transcript.pyannote[1912].start 10936.27971875
transcript.pyannote[1912].end 10936.29659375
transcript.pyannote[1913].speaker SPEAKER_03
transcript.pyannote[1913].start 10936.29659375
transcript.pyannote[1913].end 10937.47784375
transcript.pyannote[1914].speaker SPEAKER_05
transcript.pyannote[1914].start 10944.29534375
transcript.pyannote[1914].end 10944.34596875
transcript.pyannote[1915].speaker SPEAKER_03
transcript.pyannote[1915].start 10944.34596875
transcript.pyannote[1915].end 10944.88596875
transcript.pyannote[1916].speaker SPEAKER_05
transcript.pyannote[1916].start 10944.88596875
transcript.pyannote[1916].end 10944.97034375
transcript.pyannote[1917].speaker SPEAKER_03
transcript.pyannote[1917].start 10944.97034375
transcript.pyannote[1917].end 10945.02096875
transcript.pyannote[1918].speaker SPEAKER_03
transcript.pyannote[1918].start 10945.79721875
transcript.pyannote[1918].end 10946.74221875
transcript.pyannote[1919].speaker SPEAKER_03
transcript.pyannote[1919].start 10947.41721875
transcript.pyannote[1919].end 10949.10471875
transcript.pyannote[1920].speaker SPEAKER_03
transcript.pyannote[1920].start 10949.32409375
transcript.pyannote[1920].end 10957.69409375
transcript.pyannote[1921].speaker SPEAKER_03
transcript.pyannote[1921].start 10958.01471875
transcript.pyannote[1921].end 10958.03159375
transcript.pyannote[1922].speaker SPEAKER_03
transcript.pyannote[1922].start 10958.04846875
transcript.pyannote[1922].end 10963.09409375
transcript.pyannote[1923].speaker SPEAKER_05
transcript.pyannote[1923].start 10964.78159375
transcript.pyannote[1923].end 10965.52409375
transcript.pyannote[1924].speaker SPEAKER_05
transcript.pyannote[1924].start 10966.70534375
transcript.pyannote[1924].end 10968.17346875
transcript.pyannote[1925].speaker SPEAKER_03
transcript.pyannote[1925].start 10967.02596875
transcript.pyannote[1925].end 10969.72596875
transcript.pyannote[1926].speaker SPEAKER_05
transcript.pyannote[1926].start 10969.72596875
transcript.pyannote[1926].end 10972.27409375
transcript.pyannote[1927].speaker SPEAKER_03
transcript.pyannote[1927].start 10970.40096875
transcript.pyannote[1927].end 10972.91534375
transcript.pyannote[1928].speaker SPEAKER_25
transcript.pyannote[1928].start 10973.05034375
transcript.pyannote[1928].end 10974.18096875
transcript.pyannote[1929].speaker SPEAKER_03
transcript.pyannote[1929].start 10974.18096875
transcript.pyannote[1929].end 10976.32409375
transcript.pyannote[1930].speaker SPEAKER_25
transcript.pyannote[1930].start 10976.83034375
transcript.pyannote[1930].end 10979.46284375
transcript.pyannote[1931].speaker SPEAKER_03
transcript.pyannote[1931].start 10978.56846875
transcript.pyannote[1931].end 10983.83346875
transcript.pyannote[1932].speaker SPEAKER_25
transcript.pyannote[1932].start 10979.47971875
transcript.pyannote[1932].end 10979.51346875
transcript.pyannote[1933].speaker SPEAKER_25
transcript.pyannote[1933].start 10979.53034375
transcript.pyannote[1933].end 10979.58096875
transcript.pyannote[1934].speaker SPEAKER_25
transcript.pyannote[1934].start 10980.42471875
transcript.pyannote[1934].end 10980.59346875
transcript.pyannote[1935].speaker SPEAKER_05
transcript.pyannote[1935].start 10984.20471875
transcript.pyannote[1935].end 10987.61346875
transcript.pyannote[1936].speaker SPEAKER_03
transcript.pyannote[1936].start 10985.35221875
transcript.pyannote[1936].end 10992.67596875
transcript.pyannote[1937].speaker SPEAKER_05
transcript.pyannote[1937].start 10990.98846875
transcript.pyannote[1937].end 10996.33784375
transcript.pyannote[1938].speaker SPEAKER_03
transcript.pyannote[1938].start 10996.15221875
transcript.pyannote[1938].end 11008.25159375
transcript.pyannote[1939].speaker SPEAKER_03
transcript.pyannote[1939].start 11009.09534375
transcript.pyannote[1939].end 11010.07409375
transcript.pyannote[1940].speaker SPEAKER_03
transcript.pyannote[1940].start 11010.73221875
transcript.pyannote[1940].end 11011.99784375
transcript.pyannote[1941].speaker SPEAKER_03
transcript.pyannote[1941].start 11013.09471875
transcript.pyannote[1941].end 11014.61346875
transcript.pyannote[1942].speaker SPEAKER_03
transcript.pyannote[1942].start 11016.30096875
transcript.pyannote[1942].end 11020.92471875
transcript.pyannote[1943].speaker SPEAKER_03
transcript.pyannote[1943].start 11021.70096875
transcript.pyannote[1943].end 11024.06346875
transcript.pyannote[1944].speaker SPEAKER_03
transcript.pyannote[1944].start 11024.46846875
transcript.pyannote[1944].end 11028.60284375
transcript.pyannote[1945].speaker SPEAKER_03
transcript.pyannote[1945].start 11029.19346875
transcript.pyannote[1945].end 11032.92284375
transcript.pyannote[1946].speaker SPEAKER_25
transcript.pyannote[1946].start 11035.11659375
transcript.pyannote[1946].end 11047.50284375
transcript.pyannote[1947].speaker SPEAKER_03
transcript.pyannote[1947].start 11039.53784375
transcript.pyannote[1947].end 11043.48659375
transcript.pyannote[1948].speaker SPEAKER_03
transcript.pyannote[1948].start 11045.03909375
transcript.pyannote[1948].end 11045.76471875
transcript.pyannote[1949].speaker SPEAKER_03
transcript.pyannote[1949].start 11046.64221875
transcript.pyannote[1949].end 11051.01284375
transcript.pyannote[1950].speaker SPEAKER_25
transcript.pyannote[1950].start 11048.39721875
transcript.pyannote[1950].end 11048.63346875
transcript.pyannote[1951].speaker SPEAKER_25
transcript.pyannote[1951].start 11050.86096875
transcript.pyannote[1951].end 11051.68784375
transcript.pyannote[1952].speaker SPEAKER_03
transcript.pyannote[1952].start 11051.51909375
transcript.pyannote[1952].end 11055.83909375
transcript.pyannote[1953].speaker SPEAKER_03
transcript.pyannote[1953].start 11057.23971875
transcript.pyannote[1953].end 11058.64034375
transcript.pyannote[1954].speaker SPEAKER_03
transcript.pyannote[1954].start 11059.53471875
transcript.pyannote[1954].end 11062.89284375
transcript.pyannote[1955].speaker SPEAKER_03
transcript.pyannote[1955].start 11063.58471875
transcript.pyannote[1955].end 11065.42409375
transcript.pyannote[1956].speaker SPEAKER_03
transcript.pyannote[1956].start 11066.48721875
transcript.pyannote[1956].end 11067.39846875
transcript.pyannote[1957].speaker SPEAKER_03
transcript.pyannote[1957].start 11068.34346875
transcript.pyannote[1957].end 11075.02596875
transcript.pyannote[1958].speaker SPEAKER_03
transcript.pyannote[1958].start 11075.21159375
transcript.pyannote[1958].end 11078.92409375
transcript.pyannote[1959].speaker SPEAKER_03
transcript.pyannote[1959].start 11082.41721875
transcript.pyannote[1959].end 11084.22284375
transcript.pyannote[1960].speaker SPEAKER_05
transcript.pyannote[1960].start 11087.12534375
transcript.pyannote[1960].end 11094.95534375
transcript.pyannote[1961].speaker SPEAKER_03
transcript.pyannote[1961].start 11093.30159375
transcript.pyannote[1961].end 11093.68971875
transcript.pyannote[1962].speaker SPEAKER_03
transcript.pyannote[1962].start 11094.53346875
transcript.pyannote[1962].end 11094.65159375
transcript.pyannote[1963].speaker SPEAKER_05
transcript.pyannote[1963].start 11095.22534375
transcript.pyannote[1963].end 11100.33846875
transcript.pyannote[1964].speaker SPEAKER_03
transcript.pyannote[1964].start 11099.66346875
transcript.pyannote[1964].end 11105.78909375
transcript.pyannote[1965].speaker SPEAKER_05
transcript.pyannote[1965].start 11100.77721875
transcript.pyannote[1965].end 11103.07221875
transcript.pyannote[1966].speaker SPEAKER_05
transcript.pyannote[1966].start 11104.69221875
transcript.pyannote[1966].end 11105.87346875
transcript.pyannote[1967].speaker SPEAKER_03
transcript.pyannote[1967].start 11105.87346875
transcript.pyannote[1967].end 11106.02534375
transcript.pyannote[1968].speaker SPEAKER_05
transcript.pyannote[1968].start 11106.02534375
transcript.pyannote[1968].end 11114.31096875
transcript.pyannote[1969].speaker SPEAKER_03
transcript.pyannote[1969].start 11113.61909375
transcript.pyannote[1969].end 11115.94784375
transcript.pyannote[1970].speaker SPEAKER_05
transcript.pyannote[1970].start 11115.98159375
transcript.pyannote[1970].end 11115.99846875
transcript.pyannote[1971].speaker SPEAKER_03
transcript.pyannote[1971].start 11115.99846875
transcript.pyannote[1971].end 11116.01534375
transcript.pyannote[1972].speaker SPEAKER_05
transcript.pyannote[1972].start 11116.01534375
transcript.pyannote[1972].end 11119.77846875
transcript.pyannote[1973].speaker SPEAKER_03
transcript.pyannote[1973].start 11116.75784375
transcript.pyannote[1973].end 11122.44471875
transcript.pyannote[1974].speaker SPEAKER_05
transcript.pyannote[1974].start 11121.70221875
transcript.pyannote[1974].end 11126.88284375
transcript.pyannote[1975].speaker SPEAKER_03
transcript.pyannote[1975].start 11125.49909375
transcript.pyannote[1975].end 11141.29409375
transcript.pyannote[1976].speaker SPEAKER_03
transcript.pyannote[1976].start 11141.83409375
transcript.pyannote[1976].end 11147.95971875
transcript.pyannote[1977].speaker SPEAKER_03
transcript.pyannote[1977].start 11148.51659375
transcript.pyannote[1977].end 11148.76971875
transcript.pyannote[1978].speaker SPEAKER_03
transcript.pyannote[1978].start 11149.20846875
transcript.pyannote[1978].end 11150.55846875
transcript.pyannote[1979].speaker SPEAKER_03
transcript.pyannote[1979].start 11151.58784375
transcript.pyannote[1979].end 11154.57471875
transcript.pyannote[1980].speaker SPEAKER_05
transcript.pyannote[1980].start 11155.28346875
transcript.pyannote[1980].end 11162.65784375
transcript.pyannote[1981].speaker SPEAKER_03
transcript.pyannote[1981].start 11162.32034375
transcript.pyannote[1981].end 11173.00221875
transcript.pyannote[1982].speaker SPEAKER_05
transcript.pyannote[1982].start 11166.89346875
transcript.pyannote[1982].end 11168.83409375
transcript.pyannote[1983].speaker SPEAKER_05
transcript.pyannote[1983].start 11172.83346875
transcript.pyannote[1983].end 11178.92534375
transcript.pyannote[1984].speaker SPEAKER_03
transcript.pyannote[1984].start 11175.80346875
transcript.pyannote[1984].end 11176.14096875
transcript.pyannote[1985].speaker SPEAKER_03
transcript.pyannote[1985].start 11176.61346875
transcript.pyannote[1985].end 11186.18159375
transcript.pyannote[1986].speaker SPEAKER_03
transcript.pyannote[1986].start 11186.65409375
transcript.pyannote[1986].end 11189.25284375
transcript.pyannote[1987].speaker SPEAKER_03
transcript.pyannote[1987].start 11189.64096875
transcript.pyannote[1987].end 11190.40034375
transcript.pyannote[1988].speaker SPEAKER_03
transcript.pyannote[1988].start 11190.60284375
transcript.pyannote[1988].end 11192.56034375
transcript.pyannote[1989].speaker SPEAKER_03
transcript.pyannote[1989].start 11192.99909375
transcript.pyannote[1989].end 11194.55159375
transcript.pyannote[1990].speaker SPEAKER_03
transcript.pyannote[1990].start 11196.05346875
transcript.pyannote[1990].end 11198.60159375
transcript.pyannote[1991].speaker SPEAKER_03
transcript.pyannote[1991].start 11199.00659375
transcript.pyannote[1991].end 11202.28034375
transcript.pyannote[1992].speaker SPEAKER_18
transcript.pyannote[1992].start 11201.25096875
transcript.pyannote[1992].end 11201.30159375
transcript.pyannote[1993].speaker SPEAKER_05
transcript.pyannote[1993].start 11201.30159375
transcript.pyannote[1993].end 11201.97659375
transcript.pyannote[1994].speaker SPEAKER_00
transcript.pyannote[1994].start 11201.97659375
transcript.pyannote[1994].end 11201.99346875
transcript.pyannote[1995].speaker SPEAKER_03
transcript.pyannote[1995].start 11202.41534375
transcript.pyannote[1995].end 11205.67221875
transcript.pyannote[1996].speaker SPEAKER_03
transcript.pyannote[1996].start 11206.16159375
transcript.pyannote[1996].end 11210.24534375
transcript.pyannote[1997].speaker SPEAKER_05
transcript.pyannote[1997].start 11210.41409375
transcript.pyannote[1997].end 11224.11659375
transcript.pyannote[1998].speaker SPEAKER_03
transcript.pyannote[1998].start 11213.60346875
transcript.pyannote[1998].end 11213.82284375
transcript.pyannote[1999].speaker SPEAKER_03
transcript.pyannote[1999].start 11214.70034375
transcript.pyannote[1999].end 11215.59471875
transcript.pyannote[2000].speaker SPEAKER_03
transcript.pyannote[2000].start 11216.23596875
transcript.pyannote[2000].end 11216.50596875
transcript.pyannote[2001].speaker SPEAKER_03
transcript.pyannote[2001].start 11217.19784375
transcript.pyannote[2001].end 11217.80534375
transcript.pyannote[2002].speaker SPEAKER_03
transcript.pyannote[2002].start 11221.66971875
transcript.pyannote[2002].end 11226.31034375
transcript.pyannote[2003].speaker SPEAKER_03
transcript.pyannote[2003].start 11227.15409375
transcript.pyannote[2003].end 11229.75284375
transcript.pyannote[2004].speaker SPEAKER_05
transcript.pyannote[2004].start 11227.27221875
transcript.pyannote[2004].end 11227.98096875
transcript.pyannote[2005].speaker SPEAKER_05
transcript.pyannote[2005].start 11230.12409375
transcript.pyannote[2005].end 11236.77284375
transcript.pyannote[2006].speaker SPEAKER_03
transcript.pyannote[2006].start 11234.56221875
transcript.pyannote[2006].end 11239.96221875
transcript.pyannote[2007].speaker SPEAKER_05
transcript.pyannote[2007].start 11240.89034375
transcript.pyannote[2007].end 11241.48096875
transcript.pyannote[2008].speaker SPEAKER_05
transcript.pyannote[2008].start 11242.15596875
transcript.pyannote[2008].end 11248.61909375
transcript.pyannote[2009].speaker SPEAKER_03
transcript.pyannote[2009].start 11246.66159375
transcript.pyannote[2009].end 11253.22596875
transcript.pyannote[2010].speaker SPEAKER_05
transcript.pyannote[2010].start 11253.63096875
transcript.pyannote[2010].end 11260.98846875
transcript.pyannote[2011].speaker SPEAKER_03
transcript.pyannote[2011].start 11257.49534375
transcript.pyannote[2011].end 11262.89534375
transcript.pyannote[2012].speaker SPEAKER_03
transcript.pyannote[2012].start 11263.16534375
transcript.pyannote[2012].end 11270.32034375
transcript.pyannote[2013].speaker SPEAKER_03
transcript.pyannote[2013].start 11271.11346875
transcript.pyannote[2013].end 11274.67409375
transcript.pyannote[2014].speaker SPEAKER_05
transcript.pyannote[2014].start 11275.38284375
transcript.pyannote[2014].end 11277.99846875
transcript.pyannote[2015].speaker SPEAKER_03
transcript.pyannote[2015].start 11275.88909375
transcript.pyannote[2015].end 11280.07409375
transcript.pyannote[2016].speaker SPEAKER_05
transcript.pyannote[2016].start 11278.87596875
transcript.pyannote[2016].end 11284.29284375
transcript.pyannote[2017].speaker SPEAKER_03
transcript.pyannote[2017].start 11282.95971875
transcript.pyannote[2017].end 11284.22534375
transcript.pyannote[2018].speaker SPEAKER_03
transcript.pyannote[2018].start 11284.29284375
transcript.pyannote[2018].end 11290.65471875
transcript.pyannote[2019].speaker SPEAKER_05
transcript.pyannote[2019].start 11287.49909375
transcript.pyannote[2019].end 11287.90409375
transcript.pyannote[2020].speaker SPEAKER_03
transcript.pyannote[2020].start 11291.58284375
transcript.pyannote[2020].end 11295.97034375
transcript.pyannote[2021].speaker SPEAKER_03
transcript.pyannote[2021].start 11296.24034375
transcript.pyannote[2021].end 11297.21909375
transcript.pyannote[2022].speaker SPEAKER_03
transcript.pyannote[2022].start 11297.84346875
transcript.pyannote[2022].end 11299.83471875
transcript.pyannote[2023].speaker SPEAKER_03
transcript.pyannote[2023].start 11300.64471875
transcript.pyannote[2023].end 11302.01159375
transcript.pyannote[2024].speaker SPEAKER_03
transcript.pyannote[2024].start 11302.39971875
transcript.pyannote[2024].end 11307.74909375
transcript.pyannote[2025].speaker SPEAKER_05
transcript.pyannote[2025].start 11308.20471875
transcript.pyannote[2025].end 11317.46909375
transcript.pyannote[2026].speaker SPEAKER_05
transcript.pyannote[2026].start 11317.72221875
transcript.pyannote[2026].end 11318.53221875
transcript.pyannote[2027].speaker SPEAKER_03
transcript.pyannote[2027].start 11317.75596875
transcript.pyannote[2027].end 11320.21971875
transcript.pyannote[2028].speaker SPEAKER_03
transcript.pyannote[2028].start 11320.67534375
transcript.pyannote[2028].end 11325.94034375
transcript.pyannote[2029].speaker SPEAKER_05
transcript.pyannote[2029].start 11326.39596875
transcript.pyannote[2029].end 11329.01159375
transcript.pyannote[2030].speaker SPEAKER_03
transcript.pyannote[2030].start 11328.96096875
transcript.pyannote[2030].end 11331.72846875
transcript.pyannote[2031].speaker SPEAKER_05
transcript.pyannote[2031].start 11329.43346875
transcript.pyannote[2031].end 11331.81284375
transcript.pyannote[2032].speaker SPEAKER_03
transcript.pyannote[2032].start 11331.81284375
transcript.pyannote[2032].end 11332.03221875
transcript.pyannote[2033].speaker SPEAKER_05
transcript.pyannote[2033].start 11332.03221875
transcript.pyannote[2033].end 11332.89284375
transcript.pyannote[2034].speaker SPEAKER_05
transcript.pyannote[2034].start 11333.01096875
transcript.pyannote[2034].end 11340.90846875
transcript.pyannote[2035].speaker SPEAKER_03
transcript.pyannote[2035].start 11334.46221875
transcript.pyannote[2035].end 11335.57596875
transcript.pyannote[2036].speaker SPEAKER_03
transcript.pyannote[2036].start 11338.22534375
transcript.pyannote[2036].end 11347.25346875
transcript.pyannote[2037].speaker SPEAKER_05
transcript.pyannote[2037].start 11347.42221875
transcript.pyannote[2037].end 11349.64971875
transcript.pyannote[2038].speaker SPEAKER_05
transcript.pyannote[2038].start 11350.13909375
transcript.pyannote[2038].end 11359.65659375
transcript.pyannote[2039].speaker SPEAKER_03
transcript.pyannote[2039].start 11356.90596875
transcript.pyannote[2039].end 11368.80284375
transcript.pyannote[2040].speaker SPEAKER_03
transcript.pyannote[2040].start 11369.76471875
transcript.pyannote[2040].end 11377.79721875
transcript.pyannote[2041].speaker SPEAKER_19
transcript.pyannote[2041].start 11371.58721875
transcript.pyannote[2041].end 11372.48159375
transcript.pyannote[2042].speaker SPEAKER_18
transcript.pyannote[2042].start 11372.48159375
transcript.pyannote[2042].end 11372.70096875
transcript.pyannote[2043].speaker SPEAKER_03
transcript.pyannote[2043].start 11378.06721875
transcript.pyannote[2043].end 11386.92659375
transcript.pyannote[2044].speaker SPEAKER_03
transcript.pyannote[2044].start 11387.87159375
transcript.pyannote[2044].end 11389.82909375
transcript.pyannote[2045].speaker SPEAKER_03
transcript.pyannote[2045].start 11390.43659375
transcript.pyannote[2045].end 11394.73971875
transcript.pyannote[2046].speaker SPEAKER_03
transcript.pyannote[2046].start 11395.29659375
transcript.pyannote[2046].end 11396.34284375
transcript.pyannote[2047].speaker SPEAKER_03
transcript.pyannote[2047].start 11397.22034375
transcript.pyannote[2047].end 11398.67159375
transcript.pyannote[2048].speaker SPEAKER_03
transcript.pyannote[2048].start 11399.21159375
transcript.pyannote[2048].end 11401.01721875
transcript.pyannote[2049].speaker SPEAKER_03
transcript.pyannote[2049].start 11401.94534375
transcript.pyannote[2049].end 11404.22346875
transcript.pyannote[2050].speaker SPEAKER_03
transcript.pyannote[2050].start 11404.27409375
transcript.pyannote[2050].end 11408.52659375
transcript.pyannote[2051].speaker SPEAKER_03
transcript.pyannote[2051].start 11408.94846875
transcript.pyannote[2051].end 11409.64034375
transcript.pyannote[2052].speaker SPEAKER_03
transcript.pyannote[2052].start 11410.45034375
transcript.pyannote[2052].end 11412.22221875
transcript.pyannote[2053].speaker SPEAKER_03
transcript.pyannote[2053].start 11412.42471875
transcript.pyannote[2053].end 11414.36534375
transcript.pyannote[2054].speaker SPEAKER_03
transcript.pyannote[2054].start 11414.77034375
transcript.pyannote[2054].end 11416.08659375
transcript.pyannote[2055].speaker SPEAKER_03
transcript.pyannote[2055].start 11417.08221875
transcript.pyannote[2055].end 11417.95971875
transcript.pyannote[2056].speaker SPEAKER_03
transcript.pyannote[2056].start 11418.63471875
transcript.pyannote[2056].end 11420.23784375
transcript.pyannote[2057].speaker SPEAKER_03
transcript.pyannote[2057].start 11420.50784375
transcript.pyannote[2057].end 11422.12784375
transcript.pyannote[2058].speaker SPEAKER_03
transcript.pyannote[2058].start 11422.39784375
transcript.pyannote[2058].end 11423.35971875
transcript.pyannote[2059].speaker SPEAKER_03
transcript.pyannote[2059].start 11424.03471875
transcript.pyannote[2059].end 11425.75596875
transcript.pyannote[2060].speaker SPEAKER_03
transcript.pyannote[2060].start 11426.48159375
transcript.pyannote[2060].end 11427.71346875
transcript.pyannote[2061].speaker SPEAKER_03
transcript.pyannote[2061].start 11428.74284375
transcript.pyannote[2061].end 11433.14721875
transcript.pyannote[2062].speaker SPEAKER_03
transcript.pyannote[2062].start 11433.97409375
transcript.pyannote[2062].end 11435.08784375
transcript.pyannote[2063].speaker SPEAKER_03
transcript.pyannote[2063].start 11435.32409375
transcript.pyannote[2063].end 11439.45846875
transcript.pyannote[2064].speaker SPEAKER_03
transcript.pyannote[2064].start 11439.57659375
transcript.pyannote[2064].end 11445.44909375
transcript.pyannote[2065].speaker SPEAKER_03
transcript.pyannote[2065].start 11445.83721875
transcript.pyannote[2065].end 11446.83284375
transcript.pyannote[2066].speaker SPEAKER_03
transcript.pyannote[2066].start 11447.62596875
transcript.pyannote[2066].end 11448.31784375
transcript.pyannote[2067].speaker SPEAKER_03
transcript.pyannote[2067].start 11449.00971875
transcript.pyannote[2067].end 11450.25846875
transcript.pyannote[2068].speaker SPEAKER_03
transcript.pyannote[2068].start 11450.81534375
transcript.pyannote[2068].end 11453.02596875
transcript.pyannote[2069].speaker SPEAKER_25
transcript.pyannote[2069].start 11453.78534375
transcript.pyannote[2069].end 11459.50596875
transcript.pyannote[2070].speaker SPEAKER_03
transcript.pyannote[2070].start 11456.92409375
transcript.pyannote[2070].end 11458.05471875
transcript.pyannote[2071].speaker SPEAKER_03
transcript.pyannote[2071].start 11459.18534375
transcript.pyannote[2071].end 11460.56909375
transcript.pyannote[2072].speaker SPEAKER_25
transcript.pyannote[2072].start 11460.26534375
transcript.pyannote[2072].end 11467.36971875
transcript.pyannote[2073].speaker SPEAKER_03
transcript.pyannote[2073].start 11465.81721875
transcript.pyannote[2073].end 11466.25596875
transcript.pyannote[2074].speaker SPEAKER_03
transcript.pyannote[2074].start 11466.49221875
transcript.pyannote[2074].end 11467.99409375
transcript.pyannote[2075].speaker SPEAKER_25
transcript.pyannote[2075].start 11468.11221875
transcript.pyannote[2075].end 11468.58471875
transcript.pyannote[2076].speaker SPEAKER_03
transcript.pyannote[2076].start 11468.58471875
transcript.pyannote[2076].end 11471.09909375
transcript.pyannote[2077].speaker SPEAKER_25
transcript.pyannote[2077].start 11468.60159375
transcript.pyannote[2077].end 11470.33971875
transcript.pyannote[2078].speaker SPEAKER_03
transcript.pyannote[2078].start 11471.45346875
transcript.pyannote[2078].end 11474.77784375
transcript.pyannote[2079].speaker SPEAKER_03
transcript.pyannote[2079].start 11475.08159375
transcript.pyannote[2079].end 11475.89159375
transcript.pyannote[2080].speaker SPEAKER_25
transcript.pyannote[2080].start 11477.25846875
transcript.pyannote[2080].end 11486.75909375
transcript.pyannote[2081].speaker SPEAKER_03
transcript.pyannote[2081].start 11481.47721875
transcript.pyannote[2081].end 11482.57409375
transcript.pyannote[2082].speaker SPEAKER_03
transcript.pyannote[2082].start 11484.37971875
transcript.pyannote[2082].end 11494.69034375
transcript.pyannote[2083].speaker SPEAKER_25
transcript.pyannote[2083].start 11493.03659375
transcript.pyannote[2083].end 11495.83784375
transcript.pyannote[2084].speaker SPEAKER_03
transcript.pyannote[2084].start 11495.83784375
transcript.pyannote[2084].end 11496.19221875
transcript.pyannote[2085].speaker SPEAKER_25
transcript.pyannote[2085].start 11495.85471875
transcript.pyannote[2085].end 11500.64721875
transcript.pyannote[2086].speaker SPEAKER_03
transcript.pyannote[2086].start 11500.29284375
transcript.pyannote[2086].end 11503.95471875
transcript.pyannote[2087].speaker SPEAKER_25
transcript.pyannote[2087].start 11503.68471875
transcript.pyannote[2087].end 11510.41784375
transcript.pyannote[2088].speaker SPEAKER_03
transcript.pyannote[2088].start 11508.57846875
transcript.pyannote[2088].end 11520.52596875
transcript.pyannote[2089].speaker SPEAKER_03
transcript.pyannote[2089].start 11520.66096875
transcript.pyannote[2089].end 11526.17909375
transcript.pyannote[2090].speaker SPEAKER_25
transcript.pyannote[2090].start 11526.43221875
transcript.pyannote[2090].end 11536.08471875
transcript.pyannote[2091].speaker SPEAKER_03
transcript.pyannote[2091].start 11536.30409375
transcript.pyannote[2091].end 11548.28534375
transcript.pyannote[2092].speaker SPEAKER_03
transcript.pyannote[2092].start 11549.44971875
transcript.pyannote[2092].end 11549.88846875
transcript.pyannote[2093].speaker SPEAKER_03
transcript.pyannote[2093].start 11550.20909375
transcript.pyannote[2093].end 11560.51971875
transcript.pyannote[2094].speaker SPEAKER_03
transcript.pyannote[2094].start 11560.97534375
transcript.pyannote[2094].end 11561.49846875
transcript.pyannote[2095].speaker SPEAKER_05
transcript.pyannote[2095].start 11561.81909375
transcript.pyannote[2095].end 11567.35409375
transcript.pyannote[2096].speaker SPEAKER_03
transcript.pyannote[2096].start 11567.15159375
transcript.pyannote[2096].end 11572.14659375
transcript.pyannote[2097].speaker SPEAKER_05
transcript.pyannote[2097].start 11569.15971875
transcript.pyannote[2097].end 11571.75846875
transcript.pyannote[2098].speaker SPEAKER_05
transcript.pyannote[2098].start 11572.14659375
transcript.pyannote[2098].end 11572.31534375
transcript.pyannote[2099].speaker SPEAKER_05
transcript.pyannote[2099].start 11572.53471875
transcript.pyannote[2099].end 11572.55159375
transcript.pyannote[2100].speaker SPEAKER_03
transcript.pyannote[2100].start 11572.55159375
transcript.pyannote[2100].end 11573.53034375
transcript.pyannote[2101].speaker SPEAKER_04
transcript.pyannote[2101].start 11573.53034375
transcript.pyannote[2101].end 11573.93534375
transcript.pyannote[2102].speaker SPEAKER_04
transcript.pyannote[2102].start 11573.96909375
transcript.pyannote[2102].end 11576.07846875
transcript.pyannote[2103].speaker SPEAKER_04
transcript.pyannote[2103].start 11576.34846875
transcript.pyannote[2103].end 11578.50846875
transcript.pyannote[2104].speaker SPEAKER_04
transcript.pyannote[2104].start 11582.55846875
transcript.pyannote[2104].end 11582.91284375
transcript.pyannote[2105].speaker SPEAKER_04
transcript.pyannote[2105].start 11586.40596875
transcript.pyannote[2105].end 11589.10596875
transcript.pyannote[2106].speaker SPEAKER_22
transcript.pyannote[2106].start 11589.10596875
transcript.pyannote[2106].end 11589.12284375
transcript.pyannote[2107].speaker SPEAKER_22
transcript.pyannote[2107].start 11593.34159375
transcript.pyannote[2107].end 11593.74659375
transcript.pyannote[2108].speaker SPEAKER_22
transcript.pyannote[2108].start 11594.18534375
transcript.pyannote[2108].end 11595.34971875
transcript.pyannote[2109].speaker SPEAKER_22
transcript.pyannote[2109].start 11595.90659375
transcript.pyannote[2109].end 11597.05409375
transcript.pyannote[2110].speaker SPEAKER_22
transcript.pyannote[2110].start 11602.30221875
transcript.pyannote[2110].end 11602.96034375
transcript.pyannote[2111].speaker SPEAKER_22
transcript.pyannote[2111].start 11603.56784375
transcript.pyannote[2111].end 11606.74034375
transcript.pyannote[2112].speaker SPEAKER_22
transcript.pyannote[2112].start 11606.95971875
transcript.pyannote[2112].end 11622.72096875
transcript.pyannote[2113].speaker SPEAKER_00
transcript.pyannote[2113].start 11615.78534375
transcript.pyannote[2113].end 11617.25346875
transcript.pyannote[2114].speaker SPEAKER_22
transcript.pyannote[2114].start 11623.19346875
transcript.pyannote[2114].end 11633.97659375
transcript.pyannote[2115].speaker SPEAKER_25
transcript.pyannote[2115].start 11632.52534375
transcript.pyannote[2115].end 11632.71096875
transcript.pyannote[2116].speaker SPEAKER_25
transcript.pyannote[2116].start 11632.96409375
transcript.pyannote[2116].end 11635.03971875
transcript.pyannote[2117].speaker SPEAKER_22
transcript.pyannote[2117].start 11634.19596875
transcript.pyannote[2117].end 11635.10721875
transcript.pyannote[2118].speaker SPEAKER_25
transcript.pyannote[2118].start 11635.09034375
transcript.pyannote[2118].end 11635.57971875
transcript.pyannote[2119].speaker SPEAKER_22
transcript.pyannote[2119].start 11636.06909375
transcript.pyannote[2119].end 11638.44846875
transcript.pyannote[2120].speaker SPEAKER_25
transcript.pyannote[2120].start 11638.71846875
transcript.pyannote[2120].end 11639.10659375
transcript.pyannote[2121].speaker SPEAKER_22
transcript.pyannote[2121].start 11639.10659375
transcript.pyannote[2121].end 11639.81534375
transcript.pyannote[2122].speaker SPEAKER_22
transcript.pyannote[2122].start 11640.00096875
transcript.pyannote[2122].end 11652.28596875
transcript.pyannote[2123].speaker SPEAKER_22
transcript.pyannote[2123].start 11653.33221875
transcript.pyannote[2123].end 11657.26409375
transcript.pyannote[2124].speaker SPEAKER_25
transcript.pyannote[2124].start 11657.26409375
transcript.pyannote[2124].end 11657.60159375
transcript.pyannote[2125].speaker SPEAKER_22
transcript.pyannote[2125].start 11657.60159375
transcript.pyannote[2125].end 11657.61846875
transcript.pyannote[2126].speaker SPEAKER_25
transcript.pyannote[2126].start 11657.61846875
transcript.pyannote[2126].end 11657.71971875
transcript.pyannote[2127].speaker SPEAKER_22
transcript.pyannote[2127].start 11657.71971875
transcript.pyannote[2127].end 11659.49159375
transcript.pyannote[2128].speaker SPEAKER_25
transcript.pyannote[2128].start 11657.78721875
transcript.pyannote[2128].end 11660.50409375
transcript.pyannote[2129].speaker SPEAKER_22
transcript.pyannote[2129].start 11659.64346875
transcript.pyannote[2129].end 11661.16221875
transcript.pyannote[2130].speaker SPEAKER_22
transcript.pyannote[2130].start 11661.88784375
transcript.pyannote[2130].end 11663.15346875
transcript.pyannote[2131].speaker SPEAKER_22
transcript.pyannote[2131].start 11664.85784375
transcript.pyannote[2131].end 11668.38471875
transcript.pyannote[2132].speaker SPEAKER_22
transcript.pyannote[2132].start 11669.24534375
transcript.pyannote[2132].end 11671.47284375
transcript.pyannote[2133].speaker SPEAKER_22
transcript.pyannote[2133].start 11672.99159375
transcript.pyannote[2133].end 11675.67471875
transcript.pyannote[2134].speaker SPEAKER_22
transcript.pyannote[2134].start 11676.01221875
transcript.pyannote[2134].end 11677.14284375
transcript.pyannote[2135].speaker SPEAKER_22
transcript.pyannote[2135].start 11677.88534375
transcript.pyannote[2135].end 11680.82159375
transcript.pyannote[2136].speaker SPEAKER_22
transcript.pyannote[2136].start 11681.31096875
transcript.pyannote[2136].end 11684.29784375
transcript.pyannote[2137].speaker SPEAKER_22
transcript.pyannote[2137].start 11686.18784375
transcript.pyannote[2137].end 11687.40284375
transcript.pyannote[2138].speaker SPEAKER_22
transcript.pyannote[2138].start 11688.21284375
transcript.pyannote[2138].end 11688.44909375
transcript.pyannote[2139].speaker SPEAKER_22
transcript.pyannote[2139].start 11688.98909375
transcript.pyannote[2139].end 11690.00159375
transcript.pyannote[2140].speaker SPEAKER_22
transcript.pyannote[2140].start 11690.32221875
transcript.pyannote[2140].end 11690.81159375
transcript.pyannote[2141].speaker SPEAKER_22
transcript.pyannote[2141].start 11691.19971875
transcript.pyannote[2141].end 11693.44409375
transcript.pyannote[2142].speaker SPEAKER_22
transcript.pyannote[2142].start 11694.15284375
transcript.pyannote[2142].end 11694.62534375
transcript.pyannote[2143].speaker SPEAKER_22
transcript.pyannote[2143].start 11695.26659375
transcript.pyannote[2143].end 11696.53221875
transcript.pyannote[2144].speaker SPEAKER_22
transcript.pyannote[2144].start 11697.76409375
transcript.pyannote[2144].end 11709.61034375
transcript.pyannote[2145].speaker SPEAKER_22
transcript.pyannote[2145].start 11710.60596875
transcript.pyannote[2145].end 11717.72721875
transcript.pyannote[2146].speaker SPEAKER_18
transcript.pyannote[2146].start 11717.84534375
transcript.pyannote[2146].end 11718.28409375
transcript.pyannote[2147].speaker SPEAKER_22
transcript.pyannote[2147].start 11718.35159375
transcript.pyannote[2147].end 11740.77846875
transcript.pyannote[2148].speaker SPEAKER_22
transcript.pyannote[2148].start 11741.18346875
transcript.pyannote[2148].end 11743.84971875
transcript.pyannote[2149].speaker SPEAKER_22
transcript.pyannote[2149].start 11744.52471875
transcript.pyannote[2149].end 11747.39346875
transcript.pyannote[2150].speaker SPEAKER_22
transcript.pyannote[2150].start 11748.03471875
transcript.pyannote[2150].end 11749.50284375
transcript.pyannote[2151].speaker SPEAKER_22
transcript.pyannote[2151].start 11750.21159375
transcript.pyannote[2151].end 11755.88159375
transcript.pyannote[2152].speaker SPEAKER_22
transcript.pyannote[2152].start 11756.60721875
transcript.pyannote[2152].end 11757.34971875
transcript.pyannote[2153].speaker SPEAKER_22
transcript.pyannote[2153].start 11758.39596875
transcript.pyannote[2153].end 11759.00346875
transcript.pyannote[2154].speaker SPEAKER_22
transcript.pyannote[2154].start 11759.54346875
transcript.pyannote[2154].end 11760.08346875
transcript.pyannote[2155].speaker SPEAKER_22
transcript.pyannote[2155].start 11760.75846875
transcript.pyannote[2155].end 11761.16346875
transcript.pyannote[2156].speaker SPEAKER_22
transcript.pyannote[2156].start 11761.88909375
transcript.pyannote[2156].end 11762.34471875
transcript.pyannote[2157].speaker SPEAKER_22
transcript.pyannote[2157].start 11762.96909375
transcript.pyannote[2157].end 11767.27221875
transcript.pyannote[2158].speaker SPEAKER_22
transcript.pyannote[2158].start 11767.47471875
transcript.pyannote[2158].end 11771.37284375
transcript.pyannote[2159].speaker SPEAKER_22
transcript.pyannote[2159].start 11772.40221875
transcript.pyannote[2159].end 11773.65096875
transcript.pyannote[2160].speaker SPEAKER_22
transcript.pyannote[2160].start 11773.97159375
transcript.pyannote[2160].end 11777.12721875
transcript.pyannote[2161].speaker SPEAKER_22
transcript.pyannote[2161].start 11777.66721875
transcript.pyannote[2161].end 11779.32096875
transcript.pyannote[2162].speaker SPEAKER_22
transcript.pyannote[2162].start 11779.38846875
transcript.pyannote[2162].end 11780.38409375
transcript.pyannote[2163].speaker SPEAKER_22
transcript.pyannote[2163].start 11780.82284375
transcript.pyannote[2163].end 11781.97034375
transcript.pyannote[2164].speaker SPEAKER_22
transcript.pyannote[2164].start 11782.96596875
transcript.pyannote[2164].end 11785.26096875
transcript.pyannote[2165].speaker SPEAKER_22
transcript.pyannote[2165].start 11786.32409375
transcript.pyannote[2165].end 11787.48846875
transcript.pyannote[2166].speaker SPEAKER_22
transcript.pyannote[2166].start 11788.01159375
transcript.pyannote[2166].end 11796.78659375
transcript.pyannote[2167].speaker SPEAKER_22
transcript.pyannote[2167].start 11797.41096875
transcript.pyannote[2167].end 11798.03534375
transcript.pyannote[2168].speaker SPEAKER_22
transcript.pyannote[2168].start 11798.96346875
transcript.pyannote[2168].end 11799.45284375
transcript.pyannote[2169].speaker SPEAKER_22
transcript.pyannote[2169].start 11800.12784375
transcript.pyannote[2169].end 11800.88721875
transcript.pyannote[2170].speaker SPEAKER_22
transcript.pyannote[2170].start 11800.98846875
transcript.pyannote[2170].end 11813.30721875
transcript.pyannote[2171].speaker SPEAKER_22
transcript.pyannote[2171].start 11813.81346875
transcript.pyannote[2171].end 11829.35534375
transcript.pyannote[2172].speaker SPEAKER_22
transcript.pyannote[2172].start 11830.18221875
transcript.pyannote[2172].end 11831.12721875
transcript.pyannote[2173].speaker SPEAKER_22
transcript.pyannote[2173].start 11831.41409375
transcript.pyannote[2173].end 11833.21971875
transcript.pyannote[2174].speaker SPEAKER_22
transcript.pyannote[2174].start 11833.87784375
transcript.pyannote[2174].end 11846.24721875
transcript.pyannote[2175].speaker SPEAKER_22
transcript.pyannote[2175].start 11846.36534375
transcript.pyannote[2175].end 11864.53971875
transcript.pyannote[2176].speaker SPEAKER_22
transcript.pyannote[2176].start 11865.13034375
transcript.pyannote[2176].end 11865.50159375
transcript.pyannote[2177].speaker SPEAKER_22
transcript.pyannote[2177].start 11865.80534375
transcript.pyannote[2177].end 11866.90221875
transcript.pyannote[2178].speaker SPEAKER_22
transcript.pyannote[2178].start 11867.35784375
transcript.pyannote[2178].end 11868.33659375
transcript.pyannote[2179].speaker SPEAKER_22
transcript.pyannote[2179].start 11868.97784375
transcript.pyannote[2179].end 11870.59784375
transcript.pyannote[2180].speaker SPEAKER_22
transcript.pyannote[2180].start 11871.00284375
transcript.pyannote[2180].end 11871.55971875
transcript.pyannote[2181].speaker SPEAKER_22
transcript.pyannote[2181].start 11871.77909375
transcript.pyannote[2181].end 11872.72409375
transcript.pyannote[2182].speaker SPEAKER_22
transcript.pyannote[2182].start 11873.17971875
transcript.pyannote[2182].end 11875.23846875
transcript.pyannote[2183].speaker SPEAKER_22
transcript.pyannote[2183].start 11876.50409375
transcript.pyannote[2183].end 11880.85784375
transcript.pyannote[2184].speaker SPEAKER_22
transcript.pyannote[2184].start 11882.20784375
transcript.pyannote[2184].end 11882.74784375
transcript.pyannote[2185].speaker SPEAKER_22
transcript.pyannote[2185].start 11883.05159375
transcript.pyannote[2185].end 11884.11471875
transcript.pyannote[2186].speaker SPEAKER_22
transcript.pyannote[2186].start 11885.24534375
transcript.pyannote[2186].end 11886.57846875
transcript.pyannote[2187].speaker SPEAKER_22
transcript.pyannote[2187].start 11886.83159375
transcript.pyannote[2187].end 11887.54034375
transcript.pyannote[2188].speaker SPEAKER_22
transcript.pyannote[2188].start 11888.70471875
transcript.pyannote[2188].end 11890.03784375
transcript.pyannote[2189].speaker SPEAKER_22
transcript.pyannote[2189].start 11890.51034375
transcript.pyannote[2189].end 11892.67034375
transcript.pyannote[2190].speaker SPEAKER_22
transcript.pyannote[2190].start 11893.14284375
transcript.pyannote[2190].end 11902.91346875
transcript.pyannote[2191].speaker SPEAKER_25
transcript.pyannote[2191].start 11903.36909375
transcript.pyannote[2191].end 11924.61471875
transcript.pyannote[2192].speaker SPEAKER_22
transcript.pyannote[2192].start 11925.69471875
transcript.pyannote[2192].end 11925.74534375
transcript.pyannote[2193].speaker SPEAKER_22
transcript.pyannote[2193].start 11925.99846875
transcript.pyannote[2193].end 11927.97284375
transcript.pyannote[2194].speaker SPEAKER_22
transcript.pyannote[2194].start 11928.61409375
transcript.pyannote[2194].end 11929.33971875
transcript.pyannote[2195].speaker SPEAKER_22
transcript.pyannote[2195].start 11929.82909375
transcript.pyannote[2195].end 11931.17909375
transcript.pyannote[2196].speaker SPEAKER_22
transcript.pyannote[2196].start 11931.82034375
transcript.pyannote[2196].end 11932.54596875
transcript.pyannote[2197].speaker SPEAKER_22
transcript.pyannote[2197].start 11934.57096875
transcript.pyannote[2197].end 11935.38096875
transcript.pyannote[2198].speaker SPEAKER_22
transcript.pyannote[2198].start 11936.44409375
transcript.pyannote[2198].end 11946.67034375
transcript.pyannote[2199].speaker SPEAKER_22
transcript.pyannote[2199].start 11946.73784375
transcript.pyannote[2199].end 11958.34784375
transcript.pyannote[2200].speaker SPEAKER_00
transcript.pyannote[2200].start 11954.09534375
transcript.pyannote[2200].end 11954.36534375
transcript.pyannote[2201].speaker SPEAKER_22
transcript.pyannote[2201].start 11958.93846875
transcript.pyannote[2201].end 11969.63721875
transcript.pyannote[2202].speaker SPEAKER_25
transcript.pyannote[2202].start 11970.05909375
transcript.pyannote[2202].end 11988.33471875
transcript.pyannote[2203].speaker SPEAKER_22
transcript.pyannote[2203].start 11982.88409375
transcript.pyannote[2203].end 11984.23409375
transcript.pyannote[2204].speaker SPEAKER_22
transcript.pyannote[2204].start 11986.63034375
transcript.pyannote[2204].end 11987.23784375
transcript.pyannote[2205].speaker SPEAKER_22
transcript.pyannote[2205].start 11988.33471875
transcript.pyannote[2205].end 11988.40221875
transcript.pyannote[2206].speaker SPEAKER_25
transcript.pyannote[2206].start 11988.40221875
transcript.pyannote[2206].end 11988.58784375
transcript.pyannote[2207].speaker SPEAKER_22
transcript.pyannote[2207].start 11988.58784375
transcript.pyannote[2207].end 11988.60471875
transcript.pyannote[2208].speaker SPEAKER_25
transcript.pyannote[2208].start 11988.60471875
transcript.pyannote[2208].end 11988.65534375
transcript.pyannote[2209].speaker SPEAKER_22
transcript.pyannote[2209].start 11988.65534375
transcript.pyannote[2209].end 11989.44846875
transcript.pyannote[2210].speaker SPEAKER_25
transcript.pyannote[2210].start 11988.75659375
transcript.pyannote[2210].end 11995.97909375
transcript.pyannote[2211].speaker SPEAKER_22
transcript.pyannote[2211].start 11995.23659375
transcript.pyannote[2211].end 12008.17971875
transcript.pyannote[2212].speaker SPEAKER_22
transcript.pyannote[2212].start 12008.63534375
transcript.pyannote[2212].end 12019.89096875
transcript.pyannote[2213].speaker SPEAKER_22
transcript.pyannote[2213].start 12020.22846875
transcript.pyannote[2213].end 12030.50534375
transcript.pyannote[2214].speaker SPEAKER_25
transcript.pyannote[2214].start 12030.15096875
transcript.pyannote[2214].end 12031.36596875
transcript.pyannote[2215].speaker SPEAKER_22
transcript.pyannote[2215].start 12030.55596875
transcript.pyannote[2215].end 12034.11659375
transcript.pyannote[2216].speaker SPEAKER_22
transcript.pyannote[2216].start 12034.43721875
transcript.pyannote[2216].end 12036.49596875
transcript.pyannote[2217].speaker SPEAKER_22
transcript.pyannote[2217].start 12037.00221875
transcript.pyannote[2217].end 12049.60784375
transcript.pyannote[2218].speaker SPEAKER_22
transcript.pyannote[2218].start 12050.01284375
transcript.pyannote[2218].end 12054.01221875
transcript.pyannote[2219].speaker SPEAKER_22
transcript.pyannote[2219].start 12054.83909375
transcript.pyannote[2219].end 12069.97596875
transcript.pyannote[2220].speaker SPEAKER_22
transcript.pyannote[2220].start 12070.22909375
transcript.pyannote[2220].end 12079.00409375
transcript.pyannote[2221].speaker SPEAKER_22
transcript.pyannote[2221].start 12079.56096875
transcript.pyannote[2221].end 12081.67034375
transcript.pyannote[2222].speaker SPEAKER_25
transcript.pyannote[2222].start 12081.67034375
transcript.pyannote[2222].end 12082.05846875
transcript.pyannote[2223].speaker SPEAKER_22
transcript.pyannote[2223].start 12082.21034375
transcript.pyannote[2223].end 12083.77971875
transcript.pyannote[2224].speaker SPEAKER_22
transcript.pyannote[2224].start 12084.35346875
transcript.pyannote[2224].end 12094.12409375
transcript.pyannote[2225].speaker SPEAKER_22
transcript.pyannote[2225].start 12094.49534375
transcript.pyannote[2225].end 12097.60034375
transcript.pyannote[2226].speaker SPEAKER_22
transcript.pyannote[2226].start 12098.19096875
transcript.pyannote[2226].end 12098.81534375
transcript.pyannote[2227].speaker SPEAKER_22
transcript.pyannote[2227].start 12099.47346875
transcript.pyannote[2227].end 12101.97096875
transcript.pyannote[2228].speaker SPEAKER_22
transcript.pyannote[2228].start 12102.12284375
transcript.pyannote[2228].end 12106.35846875
transcript.pyannote[2229].speaker SPEAKER_22
transcript.pyannote[2229].start 12106.71284375
transcript.pyannote[2229].end 12115.52159375
transcript.pyannote[2230].speaker SPEAKER_25
transcript.pyannote[2230].start 12115.55534375
transcript.pyannote[2230].end 12116.43284375
transcript.pyannote[2231].speaker SPEAKER_22
transcript.pyannote[2231].start 12116.12909375
transcript.pyannote[2231].end 12118.13721875
transcript.pyannote[2232].speaker SPEAKER_22
transcript.pyannote[2232].start 12118.77846875
transcript.pyannote[2232].end 12123.63846875
transcript.pyannote[2233].speaker SPEAKER_22
transcript.pyannote[2233].start 12124.02659375
transcript.pyannote[2233].end 12128.09346875
transcript.pyannote[2234].speaker SPEAKER_25
transcript.pyannote[2234].start 12128.09346875
transcript.pyannote[2234].end 12129.46034375
transcript.pyannote[2235].speaker SPEAKER_22
transcript.pyannote[2235].start 12128.58284375
transcript.pyannote[2235].end 12130.42221875
transcript.pyannote[2236].speaker SPEAKER_22
transcript.pyannote[2236].start 12131.09721875
transcript.pyannote[2236].end 12132.75096875
transcript.pyannote[2237].speaker SPEAKER_22
transcript.pyannote[2237].start 12133.40909375
transcript.pyannote[2237].end 12138.53909375
transcript.pyannote[2238].speaker SPEAKER_22
transcript.pyannote[2238].start 12138.80909375
transcript.pyannote[2238].end 12140.80034375
transcript.pyannote[2239].speaker SPEAKER_22
transcript.pyannote[2239].start 12141.74534375
transcript.pyannote[2239].end 12148.69784375
transcript.pyannote[2240].speaker SPEAKER_22
transcript.pyannote[2240].start 12148.78221875
transcript.pyannote[2240].end 12151.44846875
transcript.pyannote[2241].speaker SPEAKER_22
transcript.pyannote[2241].start 12152.20784375
transcript.pyannote[2241].end 12160.72971875
transcript.pyannote[2242].speaker SPEAKER_22
transcript.pyannote[2242].start 12161.43846875
transcript.pyannote[2242].end 12174.02721875
transcript.pyannote[2243].speaker SPEAKER_22
transcript.pyannote[2243].start 12174.78659375
transcript.pyannote[2243].end 12177.16596875
transcript.pyannote[2244].speaker SPEAKER_22
transcript.pyannote[2244].start 12177.77346875
transcript.pyannote[2244].end 12178.44846875
transcript.pyannote[2245].speaker SPEAKER_22
transcript.pyannote[2245].start 12178.71846875
transcript.pyannote[2245].end 12180.52409375
transcript.pyannote[2246].speaker SPEAKER_22
transcript.pyannote[2246].start 12180.96284375
transcript.pyannote[2246].end 12181.51971875
transcript.pyannote[2247].speaker SPEAKER_18
transcript.pyannote[2247].start 12181.82346875
transcript.pyannote[2247].end 12182.05971875
transcript.pyannote[2248].speaker SPEAKER_22
transcript.pyannote[2248].start 12182.05971875
transcript.pyannote[2248].end 12182.93721875
transcript.pyannote[2249].speaker SPEAKER_22
transcript.pyannote[2249].start 12182.95409375
transcript.pyannote[2249].end 12183.00471875
transcript.pyannote[2250].speaker SPEAKER_22
transcript.pyannote[2250].start 12183.12284375
transcript.pyannote[2250].end 12184.38846875
transcript.pyannote[2251].speaker SPEAKER_22
transcript.pyannote[2251].start 12184.92846875
transcript.pyannote[2251].end 12186.98721875
transcript.pyannote[2252].speaker SPEAKER_18
transcript.pyannote[2252].start 12186.91971875
transcript.pyannote[2252].end 12187.32471875
transcript.pyannote[2253].speaker SPEAKER_22
transcript.pyannote[2253].start 12187.32471875
transcript.pyannote[2253].end 12191.32409375
transcript.pyannote[2254].speaker SPEAKER_22
transcript.pyannote[2254].start 12192.26909375
transcript.pyannote[2254].end 12195.96471875
transcript.pyannote[2255].speaker SPEAKER_22
transcript.pyannote[2255].start 12196.15034375
transcript.pyannote[2255].end 12196.16721875
transcript.pyannote[2256].speaker SPEAKER_25
transcript.pyannote[2256].start 12196.16721875
transcript.pyannote[2256].end 12196.55534375
transcript.pyannote[2257].speaker SPEAKER_22
transcript.pyannote[2257].start 12196.52159375
transcript.pyannote[2257].end 12197.14596875
transcript.pyannote[2258].speaker SPEAKER_22
transcript.pyannote[2258].start 12197.29784375
transcript.pyannote[2258].end 12200.90909375
transcript.pyannote[2259].speaker SPEAKER_25
transcript.pyannote[2259].start 12201.39846875
transcript.pyannote[2259].end 12201.85409375
transcript.pyannote[2260].speaker SPEAKER_22
transcript.pyannote[2260].start 12201.95534375
transcript.pyannote[2260].end 12205.31346875
transcript.pyannote[2261].speaker SPEAKER_25
transcript.pyannote[2261].start 12202.44471875
transcript.pyannote[2261].end 12202.90034375
transcript.pyannote[2262].speaker SPEAKER_22
transcript.pyannote[2262].start 12205.95471875
transcript.pyannote[2262].end 12206.78159375
transcript.pyannote[2263].speaker SPEAKER_22
transcript.pyannote[2263].start 12207.64221875
transcript.pyannote[2263].end 12208.26659375
transcript.pyannote[2264].speaker SPEAKER_25
transcript.pyannote[2264].start 12208.82346875
transcript.pyannote[2264].end 12210.13971875
transcript.pyannote[2265].speaker SPEAKER_22
transcript.pyannote[2265].start 12208.90784375
transcript.pyannote[2265].end 12208.95846875
transcript.pyannote[2266].speaker SPEAKER_22
transcript.pyannote[2266].start 12210.91596875
transcript.pyannote[2266].end 12211.96221875
transcript.pyannote[2267].speaker SPEAKER_25
transcript.pyannote[2267].start 12211.03409375
transcript.pyannote[2267].end 12211.15221875
transcript.pyannote[2268].speaker SPEAKER_04
transcript.pyannote[2268].start 12211.15221875
transcript.pyannote[2268].end 12213.78471875
transcript.pyannote[2269].speaker SPEAKER_22
transcript.pyannote[2269].start 12212.36721875
transcript.pyannote[2269].end 12212.46846875
transcript.pyannote[2270].speaker SPEAKER_22
transcript.pyannote[2270].start 12212.78909375
transcript.pyannote[2270].end 12212.90721875
transcript.pyannote[2271].speaker SPEAKER_22
transcript.pyannote[2271].start 12212.95784375
transcript.pyannote[2271].end 12212.97471875
transcript.pyannote[2272].speaker SPEAKER_04
transcript.pyannote[2272].start 12214.05471875
transcript.pyannote[2272].end 12215.65784375
transcript.pyannote[2273].speaker SPEAKER_06
transcript.pyannote[2273].start 12223.97721875
transcript.pyannote[2273].end 12225.37784375
transcript.pyannote[2274].speaker SPEAKER_06
transcript.pyannote[2274].start 12226.17096875
transcript.pyannote[2274].end 12227.77409375
transcript.pyannote[2275].speaker SPEAKER_06
transcript.pyannote[2275].start 12228.83721875
transcript.pyannote[2275].end 12230.03534375
transcript.pyannote[2276].speaker SPEAKER_04
transcript.pyannote[2276].start 12230.32221875
transcript.pyannote[2276].end 12231.21659375
transcript.pyannote[2277].speaker SPEAKER_06
transcript.pyannote[2277].start 12234.79409375
transcript.pyannote[2277].end 12237.24096875
transcript.pyannote[2278].speaker SPEAKER_18
transcript.pyannote[2278].start 12237.24096875
transcript.pyannote[2278].end 12237.42659375
transcript.pyannote[2279].speaker SPEAKER_06
transcript.pyannote[2279].start 12237.42659375
transcript.pyannote[2279].end 12263.39721875
transcript.pyannote[2280].speaker SPEAKER_06
transcript.pyannote[2280].start 12263.65034375
transcript.pyannote[2280].end 12276.22221875
transcript.pyannote[2281].speaker SPEAKER_25
transcript.pyannote[2281].start 12276.35721875
transcript.pyannote[2281].end 12291.51096875
transcript.pyannote[2282].speaker SPEAKER_06
transcript.pyannote[2282].start 12285.57096875
transcript.pyannote[2282].end 12285.87471875
transcript.pyannote[2283].speaker SPEAKER_06
transcript.pyannote[2283].start 12289.99221875
transcript.pyannote[2283].end 12290.27909375
transcript.pyannote[2284].speaker SPEAKER_06
transcript.pyannote[2284].start 12291.34221875
transcript.pyannote[2284].end 12303.55971875
transcript.pyannote[2285].speaker SPEAKER_06
transcript.pyannote[2285].start 12303.88034375
transcript.pyannote[2285].end 12306.14159375
transcript.pyannote[2286].speaker SPEAKER_25
transcript.pyannote[2286].start 12306.52971875
transcript.pyannote[2286].end 12317.07659375
transcript.pyannote[2287].speaker SPEAKER_24
transcript.pyannote[2287].start 12311.15346875
transcript.pyannote[2287].end 12311.33909375
transcript.pyannote[2288].speaker SPEAKER_25
transcript.pyannote[2288].start 12317.46471875
transcript.pyannote[2288].end 12320.55284375
transcript.pyannote[2289].speaker SPEAKER_06
transcript.pyannote[2289].start 12320.94096875
transcript.pyannote[2289].end 12321.00846875
transcript.pyannote[2290].speaker SPEAKER_06
transcript.pyannote[2290].start 12321.27846875
transcript.pyannote[2290].end 12327.48846875
transcript.pyannote[2291].speaker SPEAKER_25
transcript.pyannote[2291].start 12328.06221875
transcript.pyannote[2291].end 12335.40284375
transcript.pyannote[2292].speaker SPEAKER_06
transcript.pyannote[2292].start 12335.77409375
transcript.pyannote[2292].end 12338.05221875
transcript.pyannote[2293].speaker SPEAKER_06
transcript.pyannote[2293].start 12338.54159375
transcript.pyannote[2293].end 12341.54534375
transcript.pyannote[2294].speaker SPEAKER_06
transcript.pyannote[2294].start 12342.13596875
transcript.pyannote[2294].end 12346.28721875
transcript.pyannote[2295].speaker SPEAKER_25
transcript.pyannote[2295].start 12343.62096875
transcript.pyannote[2295].end 12345.44346875
transcript.pyannote[2296].speaker SPEAKER_25
transcript.pyannote[2296].start 12346.28721875
transcript.pyannote[2296].end 12358.15034375
transcript.pyannote[2297].speaker SPEAKER_06
transcript.pyannote[2297].start 12351.13034375
transcript.pyannote[2297].end 12351.53534375
transcript.pyannote[2298].speaker SPEAKER_06
transcript.pyannote[2298].start 12358.82534375
transcript.pyannote[2298].end 12386.82096875
transcript.pyannote[2299].speaker SPEAKER_06
transcript.pyannote[2299].start 12386.97284375
transcript.pyannote[2299].end 12415.62659375
transcript.pyannote[2300].speaker SPEAKER_06
transcript.pyannote[2300].start 12415.77846875
transcript.pyannote[2300].end 12420.75659375
transcript.pyannote[2301].speaker SPEAKER_18
transcript.pyannote[2301].start 12421.02659375
transcript.pyannote[2301].end 12421.71846875
transcript.pyannote[2302].speaker SPEAKER_06
transcript.pyannote[2302].start 12422.08971875
transcript.pyannote[2302].end 12429.32909375
transcript.pyannote[2303].speaker SPEAKER_06
transcript.pyannote[2303].start 12429.90284375
transcript.pyannote[2303].end 12430.40909375
transcript.pyannote[2304].speaker SPEAKER_06
transcript.pyannote[2304].start 12430.64534375
transcript.pyannote[2304].end 12436.01159375
transcript.pyannote[2305].speaker SPEAKER_06
transcript.pyannote[2305].start 12436.28159375
transcript.pyannote[2305].end 12440.46659375
transcript.pyannote[2306].speaker SPEAKER_06
transcript.pyannote[2306].start 12440.80409375
transcript.pyannote[2306].end 12442.10346875
transcript.pyannote[2307].speaker SPEAKER_06
transcript.pyannote[2307].start 12442.91346875
transcript.pyannote[2307].end 12444.26346875
transcript.pyannote[2308].speaker SPEAKER_06
transcript.pyannote[2308].start 12445.09034375
transcript.pyannote[2308].end 12454.11846875
transcript.pyannote[2309].speaker SPEAKER_18
transcript.pyannote[2309].start 12454.82721875
transcript.pyannote[2309].end 12455.06346875
transcript.pyannote[2310].speaker SPEAKER_06
transcript.pyannote[2310].start 12455.14784375
transcript.pyannote[2310].end 12460.29471875
transcript.pyannote[2311].speaker SPEAKER_06
transcript.pyannote[2311].start 12460.93596875
transcript.pyannote[2311].end 12462.04971875
transcript.pyannote[2312].speaker SPEAKER_06
transcript.pyannote[2312].start 12462.28596875
transcript.pyannote[2312].end 12462.97784375
transcript.pyannote[2313].speaker SPEAKER_18
transcript.pyannote[2313].start 12463.07909375
transcript.pyannote[2313].end 12463.39971875
transcript.pyannote[2314].speaker SPEAKER_06
transcript.pyannote[2314].start 12463.48409375
transcript.pyannote[2314].end 12464.36159375
transcript.pyannote[2315].speaker SPEAKER_06
transcript.pyannote[2315].start 12464.66534375
transcript.pyannote[2315].end 12464.98596875
transcript.pyannote[2316].speaker SPEAKER_06
transcript.pyannote[2316].start 12465.18846875
transcript.pyannote[2316].end 12470.04846875
transcript.pyannote[2317].speaker SPEAKER_06
transcript.pyannote[2317].start 12470.62221875
transcript.pyannote[2317].end 12473.45721875
transcript.pyannote[2318].speaker SPEAKER_25
transcript.pyannote[2318].start 12474.68909375
transcript.pyannote[2318].end 12479.80221875
transcript.pyannote[2319].speaker SPEAKER_25
transcript.pyannote[2319].start 12479.98784375
transcript.pyannote[2319].end 12499.36034375
transcript.pyannote[2320].speaker SPEAKER_06
transcript.pyannote[2320].start 12499.73159375
transcript.pyannote[2320].end 12500.65971875
transcript.pyannote[2321].speaker SPEAKER_06
transcript.pyannote[2321].start 12501.31784375
transcript.pyannote[2321].end 12507.10596875
transcript.pyannote[2322].speaker SPEAKER_06
transcript.pyannote[2322].start 12507.12284375
transcript.pyannote[2322].end 12515.45909375
transcript.pyannote[2323].speaker SPEAKER_06
transcript.pyannote[2323].start 12515.84721875
transcript.pyannote[2323].end 12519.23909375
transcript.pyannote[2324].speaker SPEAKER_06
transcript.pyannote[2324].start 12519.27284375
transcript.pyannote[2324].end 12519.57659375
transcript.pyannote[2325].speaker SPEAKER_06
transcript.pyannote[2325].start 12519.91409375
transcript.pyannote[2325].end 12522.27659375
transcript.pyannote[2326].speaker SPEAKER_06
transcript.pyannote[2326].start 12522.61409375
transcript.pyannote[2326].end 12526.42784375
transcript.pyannote[2327].speaker SPEAKER_25
transcript.pyannote[2327].start 12526.63034375
transcript.pyannote[2327].end 12528.43596875
transcript.pyannote[2328].speaker SPEAKER_06
transcript.pyannote[2328].start 12527.94659375
transcript.pyannote[2328].end 12528.30096875
transcript.pyannote[2329].speaker SPEAKER_25
transcript.pyannote[2329].start 12528.53721875
transcript.pyannote[2329].end 12534.83159375
transcript.pyannote[2330].speaker SPEAKER_06
transcript.pyannote[2330].start 12534.42659375
transcript.pyannote[2330].end 12540.07971875
transcript.pyannote[2331].speaker SPEAKER_06
transcript.pyannote[2331].start 12540.60284375
transcript.pyannote[2331].end 12543.52221875
transcript.pyannote[2332].speaker SPEAKER_25
transcript.pyannote[2332].start 12544.02846875
transcript.pyannote[2332].end 12544.60221875
transcript.pyannote[2333].speaker SPEAKER_06
transcript.pyannote[2333].start 12544.07909375
transcript.pyannote[2333].end 12546.47534375
transcript.pyannote[2334].speaker SPEAKER_25
transcript.pyannote[2334].start 12545.86784375
transcript.pyannote[2334].end 12546.49221875
transcript.pyannote[2335].speaker SPEAKER_06
transcript.pyannote[2335].start 12546.49221875
transcript.pyannote[2335].end 12546.50909375
transcript.pyannote[2336].speaker SPEAKER_25
transcript.pyannote[2336].start 12546.50909375
transcript.pyannote[2336].end 12546.52596875
transcript.pyannote[2337].speaker SPEAKER_25
transcript.pyannote[2337].start 12546.69471875
transcript.pyannote[2337].end 12549.74909375
transcript.pyannote[2338].speaker SPEAKER_06
transcript.pyannote[2338].start 12549.74909375
transcript.pyannote[2338].end 12551.84159375
transcript.pyannote[2339].speaker SPEAKER_25
transcript.pyannote[2339].start 12551.47034375
transcript.pyannote[2339].end 12553.46159375
transcript.pyannote[2340].speaker SPEAKER_06
transcript.pyannote[2340].start 12553.51221875
transcript.pyannote[2340].end 12553.81596875
transcript.pyannote[2341].speaker SPEAKER_06
transcript.pyannote[2341].start 12554.22096875
transcript.pyannote[2341].end 12559.06409375
transcript.pyannote[2342].speaker SPEAKER_06
transcript.pyannote[2342].start 12559.41846875
transcript.pyannote[2342].end 12566.45534375
transcript.pyannote[2343].speaker SPEAKER_25
transcript.pyannote[2343].start 12568.31159375
transcript.pyannote[2343].end 12595.75034375
transcript.pyannote[2344].speaker SPEAKER_00
transcript.pyannote[2344].start 12582.03096875
transcript.pyannote[2344].end 12582.45284375
transcript.pyannote[2345].speaker SPEAKER_06
transcript.pyannote[2345].start 12590.36721875
transcript.pyannote[2345].end 12590.77221875
transcript.pyannote[2346].speaker SPEAKER_06
transcript.pyannote[2346].start 12596.32409375
transcript.pyannote[2346].end 12600.93096875
transcript.pyannote[2347].speaker SPEAKER_25
transcript.pyannote[2347].start 12600.40784375
transcript.pyannote[2347].end 12608.49096875
transcript.pyannote[2348].speaker SPEAKER_06
transcript.pyannote[2348].start 12608.13659375
transcript.pyannote[2348].end 12611.86596875
transcript.pyannote[2349].speaker SPEAKER_25
transcript.pyannote[2349].start 12612.28784375
transcript.pyannote[2349].end 12624.55596875
transcript.pyannote[2350].speaker SPEAKER_06
transcript.pyannote[2350].start 12620.62409375
transcript.pyannote[2350].end 12623.74596875
transcript.pyannote[2351].speaker SPEAKER_06
transcript.pyannote[2351].start 12624.69096875
transcript.pyannote[2351].end 12634.15784375
transcript.pyannote[2352].speaker SPEAKER_06
transcript.pyannote[2352].start 12634.32659375
transcript.pyannote[2352].end 12640.73909375
transcript.pyannote[2353].speaker SPEAKER_06
transcript.pyannote[2353].start 12641.11034375
transcript.pyannote[2353].end 12643.72596875
transcript.pyannote[2354].speaker SPEAKER_06
transcript.pyannote[2354].start 12643.97909375
transcript.pyannote[2354].end 12646.94909375
transcript.pyannote[2355].speaker SPEAKER_25
transcript.pyannote[2355].start 12647.01659375
transcript.pyannote[2355].end 12651.48846875
transcript.pyannote[2356].speaker SPEAKER_25
transcript.pyannote[2356].start 12651.91034375
transcript.pyannote[2356].end 12661.91721875
transcript.pyannote[2357].speaker SPEAKER_06
transcript.pyannote[2357].start 12662.10284375
transcript.pyannote[2357].end 12674.32034375
transcript.pyannote[2358].speaker SPEAKER_25
transcript.pyannote[2358].start 12667.46909375
transcript.pyannote[2358].end 12667.97534375
transcript.pyannote[2359].speaker SPEAKER_25
transcript.pyannote[2359].start 12673.64534375
transcript.pyannote[2359].end 12674.15159375
transcript.pyannote[2360].speaker SPEAKER_25
transcript.pyannote[2360].start 12674.45534375
transcript.pyannote[2360].end 12682.35284375
transcript.pyannote[2361].speaker SPEAKER_06
transcript.pyannote[2361].start 12680.96909375
transcript.pyannote[2361].end 12700.57784375
transcript.pyannote[2362].speaker SPEAKER_25
transcript.pyannote[2362].start 12685.33971875
transcript.pyannote[2362].end 12685.93034375
transcript.pyannote[2363].speaker SPEAKER_06
transcript.pyannote[2363].start 12700.89846875
transcript.pyannote[2363].end 12702.65346875
transcript.pyannote[2364].speaker SPEAKER_06
transcript.pyannote[2364].start 12702.88971875
transcript.pyannote[2364].end 12709.63971875
transcript.pyannote[2365].speaker SPEAKER_06
transcript.pyannote[2365].start 12709.84221875
transcript.pyannote[2365].end 12711.25971875
transcript.pyannote[2366].speaker SPEAKER_25
transcript.pyannote[2366].start 12711.54659375
transcript.pyannote[2366].end 12712.00221875
transcript.pyannote[2367].speaker SPEAKER_06
transcript.pyannote[2367].start 12712.00221875
transcript.pyannote[2367].end 12714.07784375
transcript.pyannote[2368].speaker SPEAKER_06
transcript.pyannote[2368].start 12714.60096875
transcript.pyannote[2368].end 12718.97159375
transcript.pyannote[2369].speaker SPEAKER_06
transcript.pyannote[2369].start 12719.41034375
transcript.pyannote[2369].end 12720.67596875
transcript.pyannote[2370].speaker SPEAKER_06
transcript.pyannote[2370].start 12720.86159375
transcript.pyannote[2370].end 12721.72221875
transcript.pyannote[2371].speaker SPEAKER_06
transcript.pyannote[2371].start 12722.71784375
transcript.pyannote[2371].end 12724.05096875
transcript.pyannote[2372].speaker SPEAKER_06
transcript.pyannote[2372].start 12724.72596875
transcript.pyannote[2372].end 12727.27409375
transcript.pyannote[2373].speaker SPEAKER_06
transcript.pyannote[2373].start 12727.69596875
transcript.pyannote[2373].end 12731.77971875
transcript.pyannote[2374].speaker SPEAKER_06
transcript.pyannote[2374].start 12732.06659375
transcript.pyannote[2374].end 12741.65159375
transcript.pyannote[2375].speaker SPEAKER_06
transcript.pyannote[2375].start 12742.14096875
transcript.pyannote[2375].end 12742.66409375
transcript.pyannote[2376].speaker SPEAKER_06
transcript.pyannote[2376].start 12743.18721875
transcript.pyannote[2376].end 12746.22471875
transcript.pyannote[2377].speaker SPEAKER_25
transcript.pyannote[2377].start 12747.05159375
transcript.pyannote[2377].end 12748.08096875
transcript.pyannote[2378].speaker SPEAKER_06
transcript.pyannote[2378].start 12748.55346875
transcript.pyannote[2378].end 12749.36346875
transcript.pyannote[2379].speaker SPEAKER_25
transcript.pyannote[2379].start 12749.70096875
transcript.pyannote[2379].end 12786.85971875
transcript.pyannote[2380].speaker SPEAKER_06
transcript.pyannote[2380].start 12755.87721875
transcript.pyannote[2380].end 12756.06284375
transcript.pyannote[2381].speaker SPEAKER_00
transcript.pyannote[2381].start 12756.06284375
transcript.pyannote[2381].end 12756.33284375
transcript.pyannote[2382].speaker SPEAKER_18
transcript.pyannote[2382].start 12767.20034375
transcript.pyannote[2382].end 12767.53784375
transcript.pyannote[2383].speaker SPEAKER_06
transcript.pyannote[2383].start 12787.28159375
transcript.pyannote[2383].end 12790.21784375
transcript.pyannote[2384].speaker SPEAKER_25
transcript.pyannote[2384].start 12789.44159375
transcript.pyannote[2384].end 12791.24721875
transcript.pyannote[2385].speaker SPEAKER_06
transcript.pyannote[2385].start 12791.06159375
transcript.pyannote[2385].end 12799.48221875
transcript.pyannote[2386].speaker SPEAKER_06
transcript.pyannote[2386].start 12800.27534375
transcript.pyannote[2386].end 12800.51159375
transcript.pyannote[2387].speaker SPEAKER_06
transcript.pyannote[2387].start 12800.78159375
transcript.pyannote[2387].end 12801.82784375
transcript.pyannote[2388].speaker SPEAKER_06
transcript.pyannote[2388].start 12802.28346875
transcript.pyannote[2388].end 12805.05096875
transcript.pyannote[2389].speaker SPEAKER_25
transcript.pyannote[2389].start 12805.11846875
transcript.pyannote[2389].end 12822.66846875
transcript.pyannote[2390].speaker SPEAKER_06
transcript.pyannote[2390].start 12823.15784375
transcript.pyannote[2390].end 12827.24159375
transcript.pyannote[2391].speaker SPEAKER_06
transcript.pyannote[2391].start 12827.41034375
transcript.pyannote[2391].end 12828.32159375
transcript.pyannote[2392].speaker SPEAKER_25
transcript.pyannote[2392].start 12828.37221875
transcript.pyannote[2392].end 12830.92034375
transcript.pyannote[2393].speaker SPEAKER_06
transcript.pyannote[2393].start 12830.78534375
transcript.pyannote[2393].end 12832.03409375
transcript.pyannote[2394].speaker SPEAKER_06
transcript.pyannote[2394].start 12832.38846875
transcript.pyannote[2394].end 12834.12659375
transcript.pyannote[2395].speaker SPEAKER_06
transcript.pyannote[2395].start 12835.10534375
transcript.pyannote[2395].end 12836.25284375
transcript.pyannote[2396].speaker SPEAKER_25
transcript.pyannote[2396].start 12836.52284375
transcript.pyannote[2396].end 12843.54284375
transcript.pyannote[2397].speaker SPEAKER_06
transcript.pyannote[2397].start 12843.61034375
transcript.pyannote[2397].end 12850.02284375
transcript.pyannote[2398].speaker SPEAKER_06
transcript.pyannote[2398].start 12850.56284375
transcript.pyannote[2398].end 12851.45721875
transcript.pyannote[2399].speaker SPEAKER_04
transcript.pyannote[2399].start 12850.69784375
transcript.pyannote[2399].end 12851.25471875
transcript.pyannote[2400].speaker SPEAKER_04
transcript.pyannote[2400].start 12851.45721875
transcript.pyannote[2400].end 12851.47409375
transcript.pyannote[2401].speaker SPEAKER_06
transcript.pyannote[2401].start 12851.47409375
transcript.pyannote[2401].end 12857.93721875
transcript.pyannote[2402].speaker SPEAKER_25
transcript.pyannote[2402].start 12855.23721875
transcript.pyannote[2402].end 12861.76784375
transcript.pyannote[2403].speaker SPEAKER_06
transcript.pyannote[2403].start 12862.00409375
transcript.pyannote[2403].end 12862.03784375
transcript.pyannote[2404].speaker SPEAKER_04
transcript.pyannote[2404].start 12862.03784375
transcript.pyannote[2404].end 12865.71659375
transcript.pyannote[2405].speaker SPEAKER_04
transcript.pyannote[2405].start 12865.85159375
transcript.pyannote[2405].end 12868.19721875
transcript.pyannote[2406].speaker SPEAKER_04
transcript.pyannote[2406].start 12869.96909375
transcript.pyannote[2406].end 12876.39846875
transcript.pyannote[2407].speaker SPEAKER_04
transcript.pyannote[2407].start 12876.83721875
transcript.pyannote[2407].end 12878.52471875
transcript.pyannote[2408].speaker SPEAKER_04
transcript.pyannote[2408].start 12879.06471875
transcript.pyannote[2408].end 12881.71409375
transcript.pyannote[2409].speaker SPEAKER_04
transcript.pyannote[2409].start 12881.96721875
transcript.pyannote[2409].end 12886.65846875
transcript.pyannote[2410].speaker SPEAKER_04
transcript.pyannote[2410].start 12887.18159375
transcript.pyannote[2410].end 12888.86909375
transcript.pyannote[2411].speaker SPEAKER_04
transcript.pyannote[2411].start 12889.47659375
transcript.pyannote[2411].end 12893.34096875
transcript.pyannote[2412].speaker SPEAKER_04
transcript.pyannote[2412].start 12893.44221875
transcript.pyannote[2412].end 12895.93971875
transcript.pyannote[2413].speaker SPEAKER_04
transcript.pyannote[2413].start 12897.64409375
transcript.pyannote[2413].end 12899.39909375
transcript.pyannote[2414].speaker SPEAKER_04
transcript.pyannote[2414].start 12899.56784375
transcript.pyannote[2414].end 12903.26346875
transcript.pyannote[2415].speaker SPEAKER_04
transcript.pyannote[2415].start 12903.48284375
transcript.pyannote[2415].end 12905.89596875
transcript.pyannote[2416].speaker SPEAKER_04
transcript.pyannote[2416].start 12905.96346875
transcript.pyannote[2416].end 12906.03096875
transcript.pyannote[2417].speaker SPEAKER_04
transcript.pyannote[2417].start 12906.06471875
transcript.pyannote[2417].end 12907.90409375
transcript.pyannote[2418].speaker SPEAKER_04
transcript.pyannote[2418].start 12908.71409375
transcript.pyannote[2418].end 12911.14409375
transcript.pyannote[2419].speaker SPEAKER_04
transcript.pyannote[2419].start 12912.64596875
transcript.pyannote[2419].end 12913.81034375
transcript.pyannote[2420].speaker SPEAKER_04
transcript.pyannote[2420].start 12913.96221875
transcript.pyannote[2420].end 12916.00409375
transcript.pyannote[2421].speaker SPEAKER_04
transcript.pyannote[2421].start 12916.40909375
transcript.pyannote[2421].end 12918.09659375
transcript.pyannote[2422].speaker SPEAKER_04
transcript.pyannote[2422].start 12918.31596875
transcript.pyannote[2422].end 12922.12971875
transcript.pyannote[2423].speaker SPEAKER_04
transcript.pyannote[2423].start 12923.10846875
transcript.pyannote[2423].end 12925.92659375
transcript.pyannote[2424].speaker SPEAKER_04
transcript.pyannote[2424].start 12926.21346875
transcript.pyannote[2424].end 12927.41159375
transcript.pyannote[2425].speaker SPEAKER_04
transcript.pyannote[2425].start 12927.63096875
transcript.pyannote[2425].end 12930.73596875
transcript.pyannote[2426].speaker SPEAKER_04
transcript.pyannote[2426].start 12932.28846875
transcript.pyannote[2426].end 12932.77784375
transcript.pyannote[2427].speaker SPEAKER_04
transcript.pyannote[2427].start 12943.18971875
transcript.pyannote[2427].end 12946.93596875
transcript.pyannote[2428].speaker SPEAKER_04
transcript.pyannote[2428].start 12947.18909375
transcript.pyannote[2428].end 12948.35346875
transcript.pyannote[2429].speaker SPEAKER_04
transcript.pyannote[2429].start 12948.55596875
transcript.pyannote[2429].end 12949.73721875
transcript.pyannote[2430].speaker SPEAKER_04
transcript.pyannote[2430].start 12950.09159375
transcript.pyannote[2430].end 12950.44596875
transcript.pyannote[2431].speaker SPEAKER_04
transcript.pyannote[2431].start 12951.99846875
transcript.pyannote[2431].end 12955.20471875
transcript.pyannote[2432].speaker SPEAKER_04
transcript.pyannote[2432].start 12955.81221875
transcript.pyannote[2432].end 12958.37721875
transcript.pyannote[2433].speaker SPEAKER_04
transcript.pyannote[2433].start 12958.41096875
transcript.pyannote[2433].end 12960.43596875
transcript.pyannote[2434].speaker SPEAKER_04
transcript.pyannote[2434].start 12960.65534375
transcript.pyannote[2434].end 12962.07284375
transcript.pyannote[2435].speaker SPEAKER_04
transcript.pyannote[2435].start 12962.14034375
transcript.pyannote[2435].end 12962.37659375
transcript.pyannote[2436].speaker SPEAKER_04
transcript.pyannote[2436].start 12964.57034375
transcript.pyannote[2436].end 12964.87409375
transcript.pyannote[2437].speaker SPEAKER_04
transcript.pyannote[2437].start 12965.29596875
transcript.pyannote[2437].end 12966.71346875
transcript.pyannote[2438].speaker SPEAKER_04
transcript.pyannote[2438].start 12967.57409375
transcript.pyannote[2438].end 12970.99971875
transcript.pyannote[2439].speaker SPEAKER_04
transcript.pyannote[2439].start 12971.77596875
transcript.pyannote[2439].end 12973.76721875
transcript.pyannote[2440].speaker SPEAKER_04
transcript.pyannote[2440].start 12974.07096875
transcript.pyannote[2440].end 12975.99471875
transcript.pyannote[2441].speaker SPEAKER_04
transcript.pyannote[2441].start 12976.19721875
transcript.pyannote[2441].end 12977.37846875
transcript.pyannote[2442].speaker SPEAKER_04
transcript.pyannote[2442].start 12977.54721875
transcript.pyannote[2442].end 12979.63971875
transcript.pyannote[2443].speaker SPEAKER_04
transcript.pyannote[2443].start 12980.14596875
transcript.pyannote[2443].end 12981.22596875
transcript.pyannote[2444].speaker SPEAKER_16
transcript.pyannote[2444].start 12981.22596875
transcript.pyannote[2444].end 12982.18784375
transcript.pyannote[2445].speaker SPEAKER_16
transcript.pyannote[2445].start 12982.55909375
transcript.pyannote[2445].end 12984.02721875
transcript.pyannote[2446].speaker SPEAKER_16
transcript.pyannote[2446].start 12984.38159375
transcript.pyannote[2446].end 12985.73159375
transcript.pyannote[2447].speaker SPEAKER_16
transcript.pyannote[2447].start 12987.77346875
transcript.pyannote[2447].end 12988.48221875
transcript.pyannote[2448].speaker SPEAKER_16
transcript.pyannote[2448].start 12990.72659375
transcript.pyannote[2448].end 12990.74346875
transcript.pyannote[2449].speaker SPEAKER_15
transcript.pyannote[2449].start 12990.74346875
transcript.pyannote[2449].end 12991.28346875
transcript.pyannote[2450].speaker SPEAKER_15
transcript.pyannote[2450].start 12991.92471875
transcript.pyannote[2450].end 12992.56596875
transcript.pyannote[2451].speaker SPEAKER_22
transcript.pyannote[2451].start 12992.68409375
transcript.pyannote[2451].end 12993.05534375
transcript.pyannote[2452].speaker SPEAKER_15
transcript.pyannote[2452].start 12993.24096875
transcript.pyannote[2452].end 12997.17284375
transcript.pyannote[2453].speaker SPEAKER_15
transcript.pyannote[2453].start 12997.42596875
transcript.pyannote[2453].end 12998.82659375
transcript.pyannote[2454].speaker SPEAKER_15
transcript.pyannote[2454].start 13000.04159375
transcript.pyannote[2454].end 13008.29346875
transcript.pyannote[2455].speaker SPEAKER_15
transcript.pyannote[2455].start 13008.86721875
transcript.pyannote[2455].end 13010.80784375
transcript.pyannote[2456].speaker SPEAKER_15
transcript.pyannote[2456].start 13011.06096875
transcript.pyannote[2456].end 13014.06471875
transcript.pyannote[2457].speaker SPEAKER_15
transcript.pyannote[2457].start 13014.55409375
transcript.pyannote[2457].end 13018.19909375
transcript.pyannote[2458].speaker SPEAKER_15
transcript.pyannote[2458].start 13018.45221875
transcript.pyannote[2458].end 13019.97096875
transcript.pyannote[2459].speaker SPEAKER_15
transcript.pyannote[2459].start 13020.51096875
transcript.pyannote[2459].end 13023.80159375
transcript.pyannote[2460].speaker SPEAKER_15
transcript.pyannote[2460].start 13024.49346875
transcript.pyannote[2460].end 13028.94846875
transcript.pyannote[2461].speaker SPEAKER_15
transcript.pyannote[2461].start 13029.30284375
transcript.pyannote[2461].end 13033.62284375
transcript.pyannote[2462].speaker SPEAKER_15
transcript.pyannote[2462].start 13033.94346875
transcript.pyannote[2462].end 13037.85846875
transcript.pyannote[2463].speaker SPEAKER_15
transcript.pyannote[2463].start 13038.41534375
transcript.pyannote[2463].end 13044.03471875
transcript.pyannote[2464].speaker SPEAKER_15
transcript.pyannote[2464].start 13044.10221875
transcript.pyannote[2464].end 13045.06409375
transcript.pyannote[2465].speaker SPEAKER_15
transcript.pyannote[2465].start 13045.80659375
transcript.pyannote[2465].end 13048.27034375
transcript.pyannote[2466].speaker SPEAKER_15
transcript.pyannote[2466].start 13048.52346875
transcript.pyannote[2466].end 13049.13096875
transcript.pyannote[2467].speaker SPEAKER_15
transcript.pyannote[2467].start 13049.63721875
transcript.pyannote[2467].end 13050.71721875
transcript.pyannote[2468].speaker SPEAKER_15
transcript.pyannote[2468].start 13051.59471875
transcript.pyannote[2468].end 13056.06659375
transcript.pyannote[2469].speaker SPEAKER_15
transcript.pyannote[2469].start 13056.48846875
transcript.pyannote[2469].end 13058.22659375
transcript.pyannote[2470].speaker SPEAKER_15
transcript.pyannote[2470].start 13058.98596875
transcript.pyannote[2470].end 13063.03596875
transcript.pyannote[2471].speaker SPEAKER_15
transcript.pyannote[2471].start 13063.67721875
transcript.pyannote[2471].end 13065.12846875
transcript.pyannote[2472].speaker SPEAKER_15
transcript.pyannote[2472].start 13065.82034375
transcript.pyannote[2472].end 13073.22846875
transcript.pyannote[2473].speaker SPEAKER_15
transcript.pyannote[2473].start 13074.00471875
transcript.pyannote[2473].end 13083.87659375
transcript.pyannote[2474].speaker SPEAKER_15
transcript.pyannote[2474].start 13084.29846875
transcript.pyannote[2474].end 13088.73659375
transcript.pyannote[2475].speaker SPEAKER_15
transcript.pyannote[2475].start 13088.92221875
transcript.pyannote[2475].end 13095.50346875
transcript.pyannote[2476].speaker SPEAKER_15
transcript.pyannote[2476].start 13095.60471875
transcript.pyannote[2476].end 13096.49909375
transcript.pyannote[2477].speaker SPEAKER_15
transcript.pyannote[2477].start 13098.13596875
transcript.pyannote[2477].end 13099.99221875
transcript.pyannote[2478].speaker SPEAKER_15
transcript.pyannote[2478].start 13100.44784375
transcript.pyannote[2478].end 13103.04659375
transcript.pyannote[2479].speaker SPEAKER_15
transcript.pyannote[2479].start 13103.53596875
transcript.pyannote[2479].end 13104.36284375
transcript.pyannote[2480].speaker SPEAKER_15
transcript.pyannote[2480].start 13104.41346875
transcript.pyannote[2480].end 13108.14284375
transcript.pyannote[2481].speaker SPEAKER_15
transcript.pyannote[2481].start 13108.73346875
transcript.pyannote[2481].end 13115.73659375
transcript.pyannote[2482].speaker SPEAKER_15
transcript.pyannote[2482].start 13115.83784375
transcript.pyannote[2482].end 13121.28846875
transcript.pyannote[2483].speaker SPEAKER_25
transcript.pyannote[2483].start 13121.81159375
transcript.pyannote[2483].end 13127.56596875
transcript.pyannote[2484].speaker SPEAKER_25
transcript.pyannote[2484].start 13128.13971875
transcript.pyannote[2484].end 13136.93159375
transcript.pyannote[2485].speaker SPEAKER_15
transcript.pyannote[2485].start 13134.80534375
transcript.pyannote[2485].end 13135.36221875
transcript.pyannote[2486].speaker SPEAKER_15
transcript.pyannote[2486].start 13136.69534375
transcript.pyannote[2486].end 13153.28346875
transcript.pyannote[2487].speaker SPEAKER_15
transcript.pyannote[2487].start 13153.63784375
transcript.pyannote[2487].end 13161.16409375
transcript.pyannote[2488].speaker SPEAKER_00
transcript.pyannote[2488].start 13154.78534375
transcript.pyannote[2488].end 13155.03846875
transcript.pyannote[2489].speaker SPEAKER_22
transcript.pyannote[2489].start 13155.03846875
transcript.pyannote[2489].end 13155.42659375
transcript.pyannote[2490].speaker SPEAKER_00
transcript.pyannote[2490].start 13155.42659375
transcript.pyannote[2490].end 13155.44346875
transcript.pyannote[2491].speaker SPEAKER_00
transcript.pyannote[2491].start 13156.99596875
transcript.pyannote[2491].end 13157.02971875
transcript.pyannote[2492].speaker SPEAKER_22
transcript.pyannote[2492].start 13157.02971875
transcript.pyannote[2492].end 13158.64971875
transcript.pyannote[2493].speaker SPEAKER_15
transcript.pyannote[2493].start 13161.65346875
transcript.pyannote[2493].end 13162.91909375
transcript.pyannote[2494].speaker SPEAKER_15
transcript.pyannote[2494].start 13163.12159375
transcript.pyannote[2494].end 13192.65284375
transcript.pyannote[2495].speaker SPEAKER_15
transcript.pyannote[2495].start 13193.54721875
transcript.pyannote[2495].end 13202.30534375
transcript.pyannote[2496].speaker SPEAKER_15
transcript.pyannote[2496].start 13202.67659375
transcript.pyannote[2496].end 13209.35909375
transcript.pyannote[2497].speaker SPEAKER_25
transcript.pyannote[2497].start 13209.71346875
transcript.pyannote[2497].end 13213.47659375
transcript.pyannote[2498].speaker SPEAKER_25
transcript.pyannote[2498].start 13213.62846875
transcript.pyannote[2498].end 13217.00346875
transcript.pyannote[2499].speaker SPEAKER_25
transcript.pyannote[2499].start 13217.10471875
transcript.pyannote[2499].end 13235.22846875
transcript.pyannote[2500].speaker SPEAKER_15
transcript.pyannote[2500].start 13221.82971875
transcript.pyannote[2500].end 13225.42409375
transcript.pyannote[2501].speaker SPEAKER_15
transcript.pyannote[2501].start 13228.05659375
transcript.pyannote[2501].end 13229.91284375
transcript.pyannote[2502].speaker SPEAKER_00
transcript.pyannote[2502].start 13233.67596875
transcript.pyannote[2502].end 13233.69284375
transcript.pyannote[2503].speaker SPEAKER_18
transcript.pyannote[2503].start 13233.69284375
transcript.pyannote[2503].end 13233.96284375
transcript.pyannote[2504].speaker SPEAKER_00
transcript.pyannote[2504].start 13233.96284375
transcript.pyannote[2504].end 13234.08096875
transcript.pyannote[2505].speaker SPEAKER_25
transcript.pyannote[2505].start 13235.71784375
transcript.pyannote[2505].end 13239.05909375
transcript.pyannote[2506].speaker SPEAKER_25
transcript.pyannote[2506].start 13239.48096875
transcript.pyannote[2506].end 13242.55221875
transcript.pyannote[2507].speaker SPEAKER_15
transcript.pyannote[2507].start 13243.59846875
transcript.pyannote[2507].end 13255.61346875
transcript.pyannote[2508].speaker SPEAKER_25
transcript.pyannote[2508].start 13247.37846875
transcript.pyannote[2508].end 13248.00284375
transcript.pyannote[2509].speaker SPEAKER_15
transcript.pyannote[2509].start 13255.93409375
transcript.pyannote[2509].end 13258.78596875
transcript.pyannote[2510].speaker SPEAKER_15
transcript.pyannote[2510].start 13259.07284375
transcript.pyannote[2510].end 13268.69159375
transcript.pyannote[2511].speaker SPEAKER_15
transcript.pyannote[2511].start 13269.36659375
transcript.pyannote[2511].end 13269.82221875
transcript.pyannote[2512].speaker SPEAKER_15
transcript.pyannote[2512].start 13270.32846875
transcript.pyannote[2512].end 13271.10471875
transcript.pyannote[2513].speaker SPEAKER_15
transcript.pyannote[2513].start 13271.96534375
transcript.pyannote[2513].end 13272.96096875
transcript.pyannote[2514].speaker SPEAKER_15
transcript.pyannote[2514].start 13273.23096875
transcript.pyannote[2514].end 13274.15909375
transcript.pyannote[2515].speaker SPEAKER_15
transcript.pyannote[2515].start 13274.54721875
transcript.pyannote[2515].end 13274.96909375
transcript.pyannote[2516].speaker SPEAKER_25
transcript.pyannote[2516].start 13275.03659375
transcript.pyannote[2516].end 13300.07909375
transcript.pyannote[2517].speaker SPEAKER_15
transcript.pyannote[2517].start 13298.96534375
transcript.pyannote[2517].end 13300.41659375
transcript.pyannote[2518].speaker SPEAKER_15
transcript.pyannote[2518].start 13300.92284375
transcript.pyannote[2518].end 13301.74971875
transcript.pyannote[2519].speaker SPEAKER_15
transcript.pyannote[2519].start 13302.27284375
transcript.pyannote[2519].end 13310.10284375
transcript.pyannote[2520].speaker SPEAKER_15
transcript.pyannote[2520].start 13310.42346875
transcript.pyannote[2520].end 13315.30034375
transcript.pyannote[2521].speaker SPEAKER_15
transcript.pyannote[2521].start 13315.87409375
transcript.pyannote[2521].end 13322.84346875
transcript.pyannote[2522].speaker SPEAKER_15
transcript.pyannote[2522].start 13322.94471875
transcript.pyannote[2522].end 13324.39596875
transcript.pyannote[2523].speaker SPEAKER_18
transcript.pyannote[2523].start 13324.51409375
transcript.pyannote[2523].end 13324.53096875
transcript.pyannote[2524].speaker SPEAKER_25
transcript.pyannote[2524].start 13324.53096875
transcript.pyannote[2524].end 13324.81784375
transcript.pyannote[2525].speaker SPEAKER_15
transcript.pyannote[2525].start 13326.18471875
transcript.pyannote[2525].end 13328.51346875
transcript.pyannote[2526].speaker SPEAKER_15
transcript.pyannote[2526].start 13329.34034375
transcript.pyannote[2526].end 13330.69034375
transcript.pyannote[2527].speaker SPEAKER_04
transcript.pyannote[2527].start 13331.06159375
transcript.pyannote[2527].end 13331.07846875
transcript.pyannote[2528].speaker SPEAKER_18
transcript.pyannote[2528].start 13331.07846875
transcript.pyannote[2528].end 13331.38221875
transcript.pyannote[2529].speaker SPEAKER_04
transcript.pyannote[2529].start 13331.38221875
transcript.pyannote[2529].end 13331.41596875
transcript.pyannote[2530].speaker SPEAKER_15
transcript.pyannote[2530].start 13331.75346875
transcript.pyannote[2530].end 13332.59721875
transcript.pyannote[2531].speaker SPEAKER_05
transcript.pyannote[2531].start 13340.78159375
transcript.pyannote[2531].end 13340.79846875
transcript.pyannote[2532].speaker SPEAKER_15
transcript.pyannote[2532].start 13340.79846875
transcript.pyannote[2532].end 13341.49034375
transcript.pyannote[2533].speaker SPEAKER_05
transcript.pyannote[2533].start 13341.49034375
transcript.pyannote[2533].end 13341.50721875
transcript.pyannote[2534].speaker SPEAKER_15
transcript.pyannote[2534].start 13341.82784375
transcript.pyannote[2534].end 13342.50284375
transcript.pyannote[2535].speaker SPEAKER_15
transcript.pyannote[2535].start 13343.46471875
transcript.pyannote[2535].end 13344.05534375
transcript.pyannote[2536].speaker SPEAKER_15
transcript.pyannote[2536].start 13344.64596875
transcript.pyannote[2536].end 13358.28096875
transcript.pyannote[2537].speaker SPEAKER_15
transcript.pyannote[2537].start 13358.71971875
transcript.pyannote[2537].end 13364.42346875
transcript.pyannote[2538].speaker SPEAKER_15
transcript.pyannote[2538].start 13364.71034375
transcript.pyannote[2538].end 13368.01784375
transcript.pyannote[2539].speaker SPEAKER_01
transcript.pyannote[2539].start 13367.79846875
transcript.pyannote[2539].end 13367.83221875
transcript.pyannote[2540].speaker SPEAKER_01
transcript.pyannote[2540].start 13367.84909375
transcript.pyannote[2540].end 13368.33846875
transcript.pyannote[2541].speaker SPEAKER_15
transcript.pyannote[2541].start 13368.30471875
transcript.pyannote[2541].end 13370.31284375
transcript.pyannote[2542].speaker SPEAKER_15
transcript.pyannote[2542].start 13370.70096875
transcript.pyannote[2542].end 13377.82221875
transcript.pyannote[2543].speaker SPEAKER_05
transcript.pyannote[2543].start 13377.97409375
transcript.pyannote[2543].end 13400.56971875
transcript.pyannote[2544].speaker SPEAKER_15
transcript.pyannote[2544].start 13398.98346875
transcript.pyannote[2544].end 13402.49346875
transcript.pyannote[2545].speaker SPEAKER_05
transcript.pyannote[2545].start 13402.84784375
transcript.pyannote[2545].end 13408.23096875
transcript.pyannote[2546].speaker SPEAKER_15
transcript.pyannote[2546].start 13403.74221875
transcript.pyannote[2546].end 13404.21471875
transcript.pyannote[2547].speaker SPEAKER_15
transcript.pyannote[2547].start 13408.23096875
transcript.pyannote[2547].end 13422.22034375
transcript.pyannote[2548].speaker SPEAKER_15
transcript.pyannote[2548].start 13422.67596875
transcript.pyannote[2548].end 13424.59971875
transcript.pyannote[2549].speaker SPEAKER_05
transcript.pyannote[2549].start 13424.95409375
transcript.pyannote[2549].end 13433.77971875
transcript.pyannote[2550].speaker SPEAKER_05
transcript.pyannote[2550].start 13433.96534375
transcript.pyannote[2550].end 13457.05034375
transcript.pyannote[2551].speaker SPEAKER_05
transcript.pyannote[2551].start 13457.28659375
transcript.pyannote[2551].end 13463.10846875
transcript.pyannote[2552].speaker SPEAKER_15
transcript.pyannote[2552].start 13461.58971875
transcript.pyannote[2552].end 13493.83784375
transcript.pyannote[2553].speaker SPEAKER_15
transcript.pyannote[2553].start 13494.22596875
transcript.pyannote[2553].end 13495.06971875
transcript.pyannote[2554].speaker SPEAKER_15
transcript.pyannote[2554].start 13495.39034375
transcript.pyannote[2554].end 13499.65971875
transcript.pyannote[2555].speaker SPEAKER_15
transcript.pyannote[2555].start 13500.45284375
transcript.pyannote[2555].end 13503.08534375
transcript.pyannote[2556].speaker SPEAKER_05
transcript.pyannote[2556].start 13503.62534375
transcript.pyannote[2556].end 13536.51471875
transcript.pyannote[2557].speaker SPEAKER_05
transcript.pyannote[2557].start 13536.76784375
transcript.pyannote[2557].end 13538.86034375
transcript.pyannote[2558].speaker SPEAKER_15
transcript.pyannote[2558].start 13537.45971875
transcript.pyannote[2558].end 13547.12909375
transcript.pyannote[2559].speaker SPEAKER_15
transcript.pyannote[2559].start 13547.46659375
transcript.pyannote[2559].end 13549.62659375
transcript.pyannote[2560].speaker SPEAKER_15
transcript.pyannote[2560].start 13550.23409375
transcript.pyannote[2560].end 13552.47846875
transcript.pyannote[2561].speaker SPEAKER_15
transcript.pyannote[2561].start 13552.96784375
transcript.pyannote[2561].end 13553.69346875
transcript.pyannote[2562].speaker SPEAKER_15
transcript.pyannote[2562].start 13554.65534375
transcript.pyannote[2562].end 13556.02221875
transcript.pyannote[2563].speaker SPEAKER_15
transcript.pyannote[2563].start 13556.39346875
transcript.pyannote[2563].end 13557.77721875
transcript.pyannote[2564].speaker SPEAKER_15
transcript.pyannote[2564].start 13557.92909375
transcript.pyannote[2564].end 13558.58721875
transcript.pyannote[2565].speaker SPEAKER_15
transcript.pyannote[2565].start 13558.97534375
transcript.pyannote[2565].end 13559.88659375
transcript.pyannote[2566].speaker SPEAKER_15
transcript.pyannote[2566].start 13560.49409375
transcript.pyannote[2566].end 13562.26596875
transcript.pyannote[2567].speaker SPEAKER_15
transcript.pyannote[2567].start 13562.78909375
transcript.pyannote[2567].end 13563.14346875
transcript.pyannote[2568].speaker SPEAKER_15
transcript.pyannote[2568].start 13563.26159375
transcript.pyannote[2568].end 13563.71721875
transcript.pyannote[2569].speaker SPEAKER_15
transcript.pyannote[2569].start 13564.47659375
transcript.pyannote[2569].end 13565.05034375
transcript.pyannote[2570].speaker SPEAKER_15
transcript.pyannote[2570].start 13565.08409375
transcript.pyannote[2570].end 13565.80971875
transcript.pyannote[2571].speaker SPEAKER_15
transcript.pyannote[2571].start 13566.41721875
transcript.pyannote[2571].end 13567.53096875
transcript.pyannote[2572].speaker SPEAKER_15
transcript.pyannote[2572].start 13567.59846875
transcript.pyannote[2572].end 13568.20596875
transcript.pyannote[2573].speaker SPEAKER_15
transcript.pyannote[2573].start 13569.04971875
transcript.pyannote[2573].end 13569.74159375
transcript.pyannote[2574].speaker SPEAKER_15
transcript.pyannote[2574].start 13569.97784375
transcript.pyannote[2574].end 13570.58534375
transcript.pyannote[2575].speaker SPEAKER_15
transcript.pyannote[2575].start 13570.75409375
transcript.pyannote[2575].end 13575.14159375
transcript.pyannote[2576].speaker SPEAKER_15
transcript.pyannote[2576].start 13575.83346875
transcript.pyannote[2576].end 13577.50409375
transcript.pyannote[2577].speaker SPEAKER_05
transcript.pyannote[2577].start 13577.99346875
transcript.pyannote[2577].end 13592.35409375
transcript.pyannote[2578].speaker SPEAKER_15
transcript.pyannote[2578].start 13590.34596875
transcript.pyannote[2578].end 13600.75784375
transcript.pyannote[2579].speaker SPEAKER_05
transcript.pyannote[2579].start 13593.29909375
transcript.pyannote[2579].end 13593.53534375
transcript.pyannote[2580].speaker SPEAKER_05
transcript.pyannote[2580].start 13600.75784375
transcript.pyannote[2580].end 13609.39784375
transcript.pyannote[2581].speaker SPEAKER_15
transcript.pyannote[2581].start 13601.12909375
transcript.pyannote[2581].end 13601.23034375
transcript.pyannote[2582].speaker SPEAKER_14
transcript.pyannote[2582].start 13606.00596875
transcript.pyannote[2582].end 13606.15784375
transcript.pyannote[2583].speaker SPEAKER_04
transcript.pyannote[2583].start 13607.59221875
transcript.pyannote[2583].end 13607.60909375
transcript.pyannote[2584].speaker SPEAKER_15
transcript.pyannote[2584].start 13607.60909375
transcript.pyannote[2584].end 13607.62596875
transcript.pyannote[2585].speaker SPEAKER_04
transcript.pyannote[2585].start 13607.62596875
transcript.pyannote[2585].end 13608.60471875
transcript.pyannote[2586].speaker SPEAKER_05
transcript.pyannote[2586].start 13610.64659375
transcript.pyannote[2586].end 13610.68034375
transcript.pyannote[2587].speaker SPEAKER_04
transcript.pyannote[2587].start 13610.68034375
transcript.pyannote[2587].end 13610.86596875
transcript.pyannote[2588].speaker SPEAKER_05
transcript.pyannote[2588].start 13610.86596875
transcript.pyannote[2588].end 13611.03471875
transcript.pyannote[2589].speaker SPEAKER_04
transcript.pyannote[2589].start 13611.03471875
transcript.pyannote[2589].end 13611.60846875
transcript.pyannote[2590].speaker SPEAKER_04
transcript.pyannote[2590].start 13611.76034375
transcript.pyannote[2590].end 13613.92034375
transcript.pyannote[2591].speaker SPEAKER_12
transcript.pyannote[2591].start 13621.51409375
transcript.pyannote[2591].end 13624.58534375
transcript.pyannote[2592].speaker SPEAKER_04
transcript.pyannote[2592].start 13626.66096875
transcript.pyannote[2592].end 13626.67784375
transcript.pyannote[2593].speaker SPEAKER_12
transcript.pyannote[2593].start 13626.67784375
transcript.pyannote[2593].end 13626.86346875
transcript.pyannote[2594].speaker SPEAKER_04
transcript.pyannote[2594].start 13626.86346875
transcript.pyannote[2594].end 13626.88034375
transcript.pyannote[2595].speaker SPEAKER_04
transcript.pyannote[2595].start 13627.25159375
transcript.pyannote[2595].end 13627.28534375
transcript.pyannote[2596].speaker SPEAKER_12
transcript.pyannote[2596].start 13627.28534375
transcript.pyannote[2596].end 13628.14596875
transcript.pyannote[2597].speaker SPEAKER_04
transcript.pyannote[2597].start 13628.14596875
transcript.pyannote[2597].end 13628.21346875
transcript.pyannote[2598].speaker SPEAKER_12
transcript.pyannote[2598].start 13630.79534375
transcript.pyannote[2598].end 13631.63909375
transcript.pyannote[2599].speaker SPEAKER_12
transcript.pyannote[2599].start 13631.80784375
transcript.pyannote[2599].end 13681.38659375
transcript.pyannote[2600].speaker SPEAKER_12
transcript.pyannote[2600].start 13681.77471875
transcript.pyannote[2600].end 13682.88846875
transcript.pyannote[2601].speaker SPEAKER_12
transcript.pyannote[2601].start 13683.17534375
transcript.pyannote[2601].end 13684.84596875
transcript.pyannote[2602].speaker SPEAKER_12
transcript.pyannote[2602].start 13685.20034375
transcript.pyannote[2602].end 13686.85409375
transcript.pyannote[2603].speaker SPEAKER_12
transcript.pyannote[2603].start 13687.42784375
transcript.pyannote[2603].end 13691.96721875
transcript.pyannote[2604].speaker SPEAKER_25
transcript.pyannote[2604].start 13691.96721875
transcript.pyannote[2604].end 13702.51409375
transcript.pyannote[2605].speaker SPEAKER_12
transcript.pyannote[2605].start 13702.00784375
transcript.pyannote[2605].end 13708.11659375
transcript.pyannote[2606].speaker SPEAKER_25
transcript.pyannote[2606].start 13707.25596875
transcript.pyannote[2606].end 13755.68721875
transcript.pyannote[2607].speaker SPEAKER_12
transcript.pyannote[2607].start 13753.74659375
transcript.pyannote[2607].end 13754.33721875
transcript.pyannote[2608].speaker SPEAKER_12
transcript.pyannote[2608].start 13755.16409375
transcript.pyannote[2608].end 13758.10034375
transcript.pyannote[2609].speaker SPEAKER_12
transcript.pyannote[2609].start 13758.28596875
transcript.pyannote[2609].end 13762.38659375
transcript.pyannote[2610].speaker SPEAKER_12
transcript.pyannote[2610].start 13762.52159375
transcript.pyannote[2610].end 13802.93721875
transcript.pyannote[2611].speaker SPEAKER_12
transcript.pyannote[2611].start 13803.88221875
transcript.pyannote[2611].end 13845.37784375
transcript.pyannote[2612].speaker SPEAKER_12
transcript.pyannote[2612].start 13845.64784375
transcript.pyannote[2612].end 13860.21096875
transcript.pyannote[2613].speaker SPEAKER_12
transcript.pyannote[2613].start 13860.44721875
transcript.pyannote[2613].end 13883.48159375
transcript.pyannote[2614].speaker SPEAKER_12
transcript.pyannote[2614].start 13883.76846875
transcript.pyannote[2614].end 13890.46784375
transcript.pyannote[2615].speaker SPEAKER_12
transcript.pyannote[2615].start 13890.50159375
transcript.pyannote[2615].end 13891.10909375
transcript.pyannote[2616].speaker SPEAKER_12
transcript.pyannote[2616].start 13891.75034375
transcript.pyannote[2616].end 13892.17221875
transcript.pyannote[2617].speaker SPEAKER_25
transcript.pyannote[2617].start 13892.98221875
transcript.pyannote[2617].end 13893.13409375
transcript.pyannote[2618].speaker SPEAKER_12
transcript.pyannote[2618].start 13893.13409375
transcript.pyannote[2618].end 13893.28596875
transcript.pyannote[2619].speaker SPEAKER_12
transcript.pyannote[2619].start 13893.69096875
transcript.pyannote[2619].end 13897.38659375
transcript.pyannote[2620].speaker SPEAKER_12
transcript.pyannote[2620].start 13898.26409375
transcript.pyannote[2620].end 13900.96409375
transcript.pyannote[2621].speaker SPEAKER_25
transcript.pyannote[2621].start 13900.96409375
transcript.pyannote[2621].end 13903.00596875
transcript.pyannote[2622].speaker SPEAKER_25
transcript.pyannote[2622].start 13903.39409375
transcript.pyannote[2622].end 13925.24721875
transcript.pyannote[2623].speaker SPEAKER_12
transcript.pyannote[2623].start 13924.60596875
transcript.pyannote[2623].end 13952.68596875
transcript.pyannote[2624].speaker SPEAKER_25
transcript.pyannote[2624].start 13929.55034375
transcript.pyannote[2624].end 13929.93846875
transcript.pyannote[2625].speaker SPEAKER_00
transcript.pyannote[2625].start 13947.06659375
transcript.pyannote[2625].end 13947.20159375
transcript.pyannote[2626].speaker SPEAKER_18
transcript.pyannote[2626].start 13947.20159375
transcript.pyannote[2626].end 13947.21846875
transcript.pyannote[2627].speaker SPEAKER_03
transcript.pyannote[2627].start 13947.21846875
transcript.pyannote[2627].end 13948.80471875
transcript.pyannote[2628].speaker SPEAKER_18
transcript.pyannote[2628].start 13948.80471875
transcript.pyannote[2628].end 13948.95659375
transcript.pyannote[2629].speaker SPEAKER_03
transcript.pyannote[2629].start 13948.95659375
transcript.pyannote[2629].end 13948.97346875
transcript.pyannote[2630].speaker SPEAKER_18
transcript.pyannote[2630].start 13948.97346875
transcript.pyannote[2630].end 13950.61034375
transcript.pyannote[2631].speaker SPEAKER_12
transcript.pyannote[2631].start 13953.25971875
transcript.pyannote[2631].end 13956.17909375
transcript.pyannote[2632].speaker SPEAKER_00
transcript.pyannote[2632].start 13953.46221875
transcript.pyannote[2632].end 13953.61409375
transcript.pyannote[2633].speaker SPEAKER_18
transcript.pyannote[2633].start 13953.61409375
transcript.pyannote[2633].end 13954.13721875
transcript.pyannote[2634].speaker SPEAKER_00
transcript.pyannote[2634].start 13954.13721875
transcript.pyannote[2634].end 13954.25534375
transcript.pyannote[2635].speaker SPEAKER_12
transcript.pyannote[2635].start 13957.09034375
transcript.pyannote[2635].end 13969.03784375
transcript.pyannote[2636].speaker SPEAKER_18
transcript.pyannote[2636].start 13957.12409375
transcript.pyannote[2636].end 13958.96346875
transcript.pyannote[2637].speaker SPEAKER_00
transcript.pyannote[2637].start 13958.96346875
transcript.pyannote[2637].end 13959.41909375
transcript.pyannote[2638].speaker SPEAKER_00
transcript.pyannote[2638].start 13962.33846875
transcript.pyannote[2638].end 13963.51971875
transcript.pyannote[2639].speaker SPEAKER_00
transcript.pyannote[2639].start 13963.78971875
transcript.pyannote[2639].end 13964.02596875
transcript.pyannote[2640].speaker SPEAKER_04
transcript.pyannote[2640].start 13964.02596875
transcript.pyannote[2640].end 13965.52784375
transcript.pyannote[2641].speaker SPEAKER_04
transcript.pyannote[2641].start 13969.03784375
transcript.pyannote[2641].end 13971.33284375
transcript.pyannote[2642].speaker SPEAKER_04
transcript.pyannote[2642].start 13971.63659375
transcript.pyannote[2642].end 13972.19346875
transcript.pyannote[2643].speaker SPEAKER_04
transcript.pyannote[2643].start 13973.52659375
transcript.pyannote[2643].end 13974.47159375
transcript.pyannote[2644].speaker SPEAKER_04
transcript.pyannote[2644].start 13975.16346875
transcript.pyannote[2644].end 13976.83409375
transcript.pyannote[2645].speaker SPEAKER_09
transcript.pyannote[2645].start 13991.46471875
transcript.pyannote[2645].end 13993.21971875
transcript.pyannote[2646].speaker SPEAKER_04
transcript.pyannote[2646].start 13996.05471875
transcript.pyannote[2646].end 13996.45971875
transcript.pyannote[2647].speaker SPEAKER_04
transcript.pyannote[2647].start 13996.66221875
transcript.pyannote[2647].end 13997.28659375
transcript.pyannote[2648].speaker SPEAKER_09
transcript.pyannote[2648].start 13997.28659375
transcript.pyannote[2648].end 13997.30346875
transcript.pyannote[2649].speaker SPEAKER_04
transcript.pyannote[2649].start 13997.30346875
transcript.pyannote[2649].end 13997.32034375
transcript.pyannote[2650].speaker SPEAKER_09
transcript.pyannote[2650].start 14004.01971875
transcript.pyannote[2650].end 14006.23034375
transcript.pyannote[2651].speaker SPEAKER_09
transcript.pyannote[2651].start 14007.59721875
transcript.pyannote[2651].end 14009.31846875
transcript.pyannote[2652].speaker SPEAKER_09
transcript.pyannote[2652].start 14009.35221875
transcript.pyannote[2652].end 14012.60909375
transcript.pyannote[2653].speaker SPEAKER_09
transcript.pyannote[2653].start 14013.28409375
transcript.pyannote[2653].end 14016.60846875
transcript.pyannote[2654].speaker SPEAKER_09
transcript.pyannote[2654].start 14017.35096875
transcript.pyannote[2654].end 14019.59534375
transcript.pyannote[2655].speaker SPEAKER_09
transcript.pyannote[2655].start 14020.05096875
transcript.pyannote[2655].end 14022.66659375
transcript.pyannote[2656].speaker SPEAKER_09
transcript.pyannote[2656].start 14023.35846875
transcript.pyannote[2656].end 14023.57784375
transcript.pyannote[2657].speaker SPEAKER_09
transcript.pyannote[2657].start 14023.93221875
transcript.pyannote[2657].end 14024.60721875
transcript.pyannote[2658].speaker SPEAKER_09
transcript.pyannote[2658].start 14025.21471875
transcript.pyannote[2658].end 14026.41284375
transcript.pyannote[2659].speaker SPEAKER_09
transcript.pyannote[2659].start 14027.69534375
transcript.pyannote[2659].end 14029.26471875
transcript.pyannote[2660].speaker SPEAKER_09
transcript.pyannote[2660].start 14030.27721875
transcript.pyannote[2660].end 14031.54284375
transcript.pyannote[2661].speaker SPEAKER_09
transcript.pyannote[2661].start 14031.66096875
transcript.pyannote[2661].end 14032.82534375
transcript.pyannote[2662].speaker SPEAKER_09
transcript.pyannote[2662].start 14033.68596875
transcript.pyannote[2662].end 14035.12034375
transcript.pyannote[2663].speaker SPEAKER_09
transcript.pyannote[2663].start 14035.44096875
transcript.pyannote[2663].end 14037.09471875
transcript.pyannote[2664].speaker SPEAKER_09
transcript.pyannote[2664].start 14037.41534375
transcript.pyannote[2664].end 14038.44471875
transcript.pyannote[2665].speaker SPEAKER_09
transcript.pyannote[2665].start 14039.01846875
transcript.pyannote[2665].end 14040.77346875
transcript.pyannote[2666].speaker SPEAKER_25
transcript.pyannote[2666].start 14041.29659375
transcript.pyannote[2666].end 14044.82346875
transcript.pyannote[2667].speaker SPEAKER_25
transcript.pyannote[2667].start 14045.34659375
transcript.pyannote[2667].end 14046.34221875
transcript.pyannote[2668].speaker SPEAKER_25
transcript.pyannote[2668].start 14046.74721875
transcript.pyannote[2668].end 14049.24471875
transcript.pyannote[2669].speaker SPEAKER_09
transcript.pyannote[2669].start 14049.51471875
transcript.pyannote[2669].end 14050.84784375
transcript.pyannote[2670].speaker SPEAKER_09
transcript.pyannote[2670].start 14051.47221875
transcript.pyannote[2670].end 14052.60284375
transcript.pyannote[2671].speaker SPEAKER_09
transcript.pyannote[2671].start 14053.10909375
transcript.pyannote[2671].end 14054.54346875
transcript.pyannote[2672].speaker SPEAKER_09
transcript.pyannote[2672].start 14055.38721875
transcript.pyannote[2672].end 14057.46284375
transcript.pyannote[2673].speaker SPEAKER_09
transcript.pyannote[2673].start 14057.93534375
transcript.pyannote[2673].end 14058.40784375
transcript.pyannote[2674].speaker SPEAKER_09
transcript.pyannote[2674].start 14058.81284375
transcript.pyannote[2674].end 14059.65659375
transcript.pyannote[2675].speaker SPEAKER_09
transcript.pyannote[2675].start 14061.09096875
transcript.pyannote[2675].end 14061.68159375
transcript.pyannote[2676].speaker SPEAKER_09
transcript.pyannote[2676].start 14062.57596875
transcript.pyannote[2676].end 14063.47034375
transcript.pyannote[2677].speaker SPEAKER_09
transcript.pyannote[2677].start 14064.26346875
transcript.pyannote[2677].end 14065.14096875
transcript.pyannote[2678].speaker SPEAKER_09
transcript.pyannote[2678].start 14065.52909375
transcript.pyannote[2678].end 14066.35596875
transcript.pyannote[2679].speaker SPEAKER_09
transcript.pyannote[2679].start 14068.09409375
transcript.pyannote[2679].end 14068.85346875
transcript.pyannote[2680].speaker SPEAKER_09
transcript.pyannote[2680].start 14069.32596875
transcript.pyannote[2680].end 14070.42284375
transcript.pyannote[2681].speaker SPEAKER_09
transcript.pyannote[2681].start 14072.02596875
transcript.pyannote[2681].end 14072.98784375
transcript.pyannote[2682].speaker SPEAKER_09
transcript.pyannote[2682].start 14073.25784375
transcript.pyannote[2682].end 14074.23659375
transcript.pyannote[2683].speaker SPEAKER_09
transcript.pyannote[2683].start 14075.24909375
transcript.pyannote[2683].end 14076.90284375
transcript.pyannote[2684].speaker SPEAKER_09
transcript.pyannote[2684].start 14077.64534375
transcript.pyannote[2684].end 14079.60284375
transcript.pyannote[2685].speaker SPEAKER_09
transcript.pyannote[2685].start 14080.36221875
transcript.pyannote[2685].end 14081.39159375
transcript.pyannote[2686].speaker SPEAKER_09
transcript.pyannote[2686].start 14082.67409375
transcript.pyannote[2686].end 14084.76659375
transcript.pyannote[2687].speaker SPEAKER_09
transcript.pyannote[2687].start 14085.84659375
transcript.pyannote[2687].end 14087.23034375
transcript.pyannote[2688].speaker SPEAKER_25
transcript.pyannote[2688].start 14088.49596875
transcript.pyannote[2688].end 14089.81221875
transcript.pyannote[2689].speaker SPEAKER_09
transcript.pyannote[2689].start 14091.60096875
transcript.pyannote[2689].end 14093.37284375
transcript.pyannote[2690].speaker SPEAKER_09
transcript.pyannote[2690].start 14094.14909375
transcript.pyannote[2690].end 14099.75159375
transcript.pyannote[2691].speaker SPEAKER_09
transcript.pyannote[2691].start 14100.44346875
transcript.pyannote[2691].end 14101.92846875
transcript.pyannote[2692].speaker SPEAKER_09
transcript.pyannote[2692].start 14102.36721875
transcript.pyannote[2692].end 14106.83909375
transcript.pyannote[2693].speaker SPEAKER_09
transcript.pyannote[2693].start 14107.09221875
transcript.pyannote[2693].end 14108.39159375
transcript.pyannote[2694].speaker SPEAKER_09
transcript.pyannote[2694].start 14108.88096875
transcript.pyannote[2694].end 14110.07909375
transcript.pyannote[2695].speaker SPEAKER_09
transcript.pyannote[2695].start 14110.82159375
transcript.pyannote[2695].end 14112.23909375
transcript.pyannote[2696].speaker SPEAKER_25
transcript.pyannote[2696].start 14112.72846875
transcript.pyannote[2696].end 14112.86346875
transcript.pyannote[2697].speaker SPEAKER_18
transcript.pyannote[2697].start 14112.86346875
transcript.pyannote[2697].end 14113.03221875
transcript.pyannote[2698].speaker SPEAKER_25
transcript.pyannote[2698].start 14113.03221875
transcript.pyannote[2698].end 14113.04909375
transcript.pyannote[2699].speaker SPEAKER_09
transcript.pyannote[2699].start 14113.30221875
transcript.pyannote[2699].end 14113.96034375
transcript.pyannote[2700].speaker SPEAKER_09
transcript.pyannote[2700].start 14114.09534375
transcript.pyannote[2700].end 14115.27659375
transcript.pyannote[2701].speaker SPEAKER_09
transcript.pyannote[2701].start 14115.61409375
transcript.pyannote[2701].end 14116.71096875
transcript.pyannote[2702].speaker SPEAKER_09
transcript.pyannote[2702].start 14117.38596875
transcript.pyannote[2702].end 14118.56721875
transcript.pyannote[2703].speaker SPEAKER_09
transcript.pyannote[2703].start 14119.86659375
transcript.pyannote[2703].end 14121.06471875
transcript.pyannote[2704].speaker SPEAKER_09
transcript.pyannote[2704].start 14121.41909375
transcript.pyannote[2704].end 14123.15721875
transcript.pyannote[2705].speaker SPEAKER_09
transcript.pyannote[2705].start 14124.43971875
transcript.pyannote[2705].end 14126.93721875
transcript.pyannote[2706].speaker SPEAKER_09
transcript.pyannote[2706].start 14127.39284375
transcript.pyannote[2706].end 14128.62471875
transcript.pyannote[2707].speaker SPEAKER_09
transcript.pyannote[2707].start 14129.28284375
transcript.pyannote[2707].end 14131.17284375
transcript.pyannote[2708].speaker SPEAKER_09
transcript.pyannote[2708].start 14132.15159375
transcript.pyannote[2708].end 14135.86409375
transcript.pyannote[2709].speaker SPEAKER_09
transcript.pyannote[2709].start 14136.10034375
transcript.pyannote[2709].end 14138.20971875
transcript.pyannote[2710].speaker SPEAKER_09
transcript.pyannote[2710].start 14139.45846875
transcript.pyannote[2710].end 14141.65221875
transcript.pyannote[2711].speaker SPEAKER_09
transcript.pyannote[2711].start 14142.09096875
transcript.pyannote[2711].end 14144.92596875
transcript.pyannote[2712].speaker SPEAKER_09
transcript.pyannote[2712].start 14145.44909375
transcript.pyannote[2712].end 14147.20409375
transcript.pyannote[2713].speaker SPEAKER_09
transcript.pyannote[2713].start 14147.52471875
transcript.pyannote[2713].end 14148.97596875
transcript.pyannote[2714].speaker SPEAKER_09
transcript.pyannote[2714].start 14149.21221875
transcript.pyannote[2714].end 14150.08971875
transcript.pyannote[2715].speaker SPEAKER_09
transcript.pyannote[2715].start 14150.57909375
transcript.pyannote[2715].end 14153.78534375
transcript.pyannote[2716].speaker SPEAKER_09
transcript.pyannote[2716].start 14155.70909375
transcript.pyannote[2716].end 14157.07596875
transcript.pyannote[2717].speaker SPEAKER_09
transcript.pyannote[2717].start 14157.48096875
transcript.pyannote[2717].end 14158.47659375
transcript.pyannote[2718].speaker SPEAKER_09
transcript.pyannote[2718].start 14158.69596875
transcript.pyannote[2718].end 14160.04596875
transcript.pyannote[2719].speaker SPEAKER_09
transcript.pyannote[2719].start 14164.12971875
transcript.pyannote[2719].end 14164.60221875
transcript.pyannote[2720].speaker SPEAKER_09
transcript.pyannote[2720].start 14165.24346875
transcript.pyannote[2720].end 14168.14596875
transcript.pyannote[2721].speaker SPEAKER_09
transcript.pyannote[2721].start 14168.46659375
transcript.pyannote[2721].end 14172.06096875
transcript.pyannote[2722].speaker SPEAKER_09
transcript.pyannote[2722].start 14172.33096875
transcript.pyannote[2722].end 14176.76909375
transcript.pyannote[2723].speaker SPEAKER_09
transcript.pyannote[2723].start 14177.42721875
transcript.pyannote[2723].end 14178.81096875
transcript.pyannote[2724].speaker SPEAKER_09
transcript.pyannote[2724].start 14179.21596875
transcript.pyannote[2724].end 14180.22846875
transcript.pyannote[2725].speaker SPEAKER_09
transcript.pyannote[2725].start 14180.54909375
transcript.pyannote[2725].end 14183.14784375
transcript.pyannote[2726].speaker SPEAKER_09
transcript.pyannote[2726].start 14183.83971875
transcript.pyannote[2726].end 14184.93659375
transcript.pyannote[2727].speaker SPEAKER_09
transcript.pyannote[2727].start 14185.37534375
transcript.pyannote[2727].end 14186.89409375
transcript.pyannote[2728].speaker SPEAKER_09
transcript.pyannote[2728].start 14187.02909375
transcript.pyannote[2728].end 14188.48034375
transcript.pyannote[2729].speaker SPEAKER_09
transcript.pyannote[2729].start 14190.18471875
transcript.pyannote[2729].end 14195.02784375
transcript.pyannote[2730].speaker SPEAKER_09
transcript.pyannote[2730].start 14195.58471875
transcript.pyannote[2730].end 14197.86284375
transcript.pyannote[2731].speaker SPEAKER_09
transcript.pyannote[2731].start 14198.38596875
transcript.pyannote[2731].end 14199.11159375
transcript.pyannote[2732].speaker SPEAKER_09
transcript.pyannote[2732].start 14199.56721875
transcript.pyannote[2732].end 14200.93409375
transcript.pyannote[2733].speaker SPEAKER_09
transcript.pyannote[2733].start 14203.95471875
transcript.pyannote[2733].end 14205.87846875
transcript.pyannote[2734].speaker SPEAKER_09
transcript.pyannote[2734].start 14206.03034375
transcript.pyannote[2734].end 14206.48596875
transcript.pyannote[2735].speaker SPEAKER_09
transcript.pyannote[2735].start 14208.19034375
transcript.pyannote[2735].end 14209.65846875
transcript.pyannote[2736].speaker SPEAKER_09
transcript.pyannote[2736].start 14209.69221875
transcript.pyannote[2736].end 14210.97471875
transcript.pyannote[2737].speaker SPEAKER_09
transcript.pyannote[2737].start 14211.88596875
transcript.pyannote[2737].end 14212.44284375
transcript.pyannote[2738].speaker SPEAKER_09
transcript.pyannote[2738].start 14213.72534375
transcript.pyannote[2738].end 14214.80534375
transcript.pyannote[2739].speaker SPEAKER_09
transcript.pyannote[2739].start 14215.88534375
transcript.pyannote[2739].end 14217.18471875
transcript.pyannote[2740].speaker SPEAKER_09
transcript.pyannote[2740].start 14217.40409375
transcript.pyannote[2740].end 14218.95659375
transcript.pyannote[2741].speaker SPEAKER_09
transcript.pyannote[2741].start 14219.17596875
transcript.pyannote[2741].end 14220.99846875
transcript.pyannote[2742].speaker SPEAKER_14
transcript.pyannote[2742].start 14221.75784375
transcript.pyannote[2742].end 14238.36284375
transcript.pyannote[2743].speaker SPEAKER_14
transcript.pyannote[2743].start 14238.80159375
transcript.pyannote[2743].end 14243.88096875
transcript.pyannote[2744].speaker SPEAKER_09
transcript.pyannote[2744].start 14243.88096875
transcript.pyannote[2744].end 14250.61409375
transcript.pyannote[2745].speaker SPEAKER_09
transcript.pyannote[2745].start 14251.18784375
transcript.pyannote[2745].end 14252.75721875
transcript.pyannote[2746].speaker SPEAKER_09
transcript.pyannote[2746].start 14253.98909375
transcript.pyannote[2746].end 14257.65096875
transcript.pyannote[2747].speaker SPEAKER_09
transcript.pyannote[2747].start 14258.56221875
transcript.pyannote[2747].end 14260.03034375
transcript.pyannote[2748].speaker SPEAKER_09
transcript.pyannote[2748].start 14260.87409375
transcript.pyannote[2748].end 14262.73034375
transcript.pyannote[2749].speaker SPEAKER_09
transcript.pyannote[2749].start 14263.40534375
transcript.pyannote[2749].end 14265.43034375
transcript.pyannote[2750].speaker SPEAKER_09
transcript.pyannote[2750].start 14266.27409375
transcript.pyannote[2750].end 14268.83909375
transcript.pyannote[2751].speaker SPEAKER_09
transcript.pyannote[2751].start 14270.93159375
transcript.pyannote[2751].end 14271.80909375
transcript.pyannote[2752].speaker SPEAKER_09
transcript.pyannote[2752].start 14272.50096875
transcript.pyannote[2752].end 14273.73284375
transcript.pyannote[2753].speaker SPEAKER_09
transcript.pyannote[2753].start 14274.32346875
transcript.pyannote[2753].end 14275.89284375
transcript.pyannote[2754].speaker SPEAKER_09
transcript.pyannote[2754].start 14277.44534375
transcript.pyannote[2754].end 14282.18721875
transcript.pyannote[2755].speaker SPEAKER_09
transcript.pyannote[2755].start 14282.27159375
transcript.pyannote[2755].end 14284.22909375
transcript.pyannote[2756].speaker SPEAKER_25
transcript.pyannote[2756].start 14284.68471875
transcript.pyannote[2756].end 14291.83971875
transcript.pyannote[2757].speaker SPEAKER_09
transcript.pyannote[2757].start 14291.41784375
transcript.pyannote[2757].end 14293.49346875
transcript.pyannote[2758].speaker SPEAKER_25
transcript.pyannote[2758].start 14293.59471875
transcript.pyannote[2758].end 14293.91534375
transcript.pyannote[2759].speaker SPEAKER_09
transcript.pyannote[2759].start 14294.11784375
transcript.pyannote[2759].end 14298.10034375
transcript.pyannote[2760].speaker SPEAKER_09
transcript.pyannote[2760].start 14298.53909375
transcript.pyannote[2760].end 14299.33221875
transcript.pyannote[2761].speaker SPEAKER_25
transcript.pyannote[2761].start 14299.65284375
transcript.pyannote[2761].end 14301.03659375
transcript.pyannote[2762].speaker SPEAKER_09
transcript.pyannote[2762].start 14301.37409375
transcript.pyannote[2762].end 14304.27659375
transcript.pyannote[2763].speaker SPEAKER_09
transcript.pyannote[2763].start 14304.51284375
transcript.pyannote[2763].end 14305.55909375
transcript.pyannote[2764].speaker SPEAKER_25
transcript.pyannote[2764].start 14305.99784375
transcript.pyannote[2764].end 14307.63471875
transcript.pyannote[2765].speaker SPEAKER_09
transcript.pyannote[2765].start 14306.38596875
transcript.pyannote[2765].end 14307.60096875
transcript.pyannote[2766].speaker SPEAKER_09
transcript.pyannote[2766].start 14307.63471875
transcript.pyannote[2766].end 14307.65159375
transcript.pyannote[2767].speaker SPEAKER_09
transcript.pyannote[2767].start 14308.61346875
transcript.pyannote[2767].end 14308.69784375
transcript.pyannote[2768].speaker SPEAKER_25
transcript.pyannote[2768].start 14309.23784375
transcript.pyannote[2768].end 14313.23721875
transcript.pyannote[2769].speaker SPEAKER_09
transcript.pyannote[2769].start 14310.84096875
transcript.pyannote[2769].end 14312.37659375
transcript.pyannote[2770].speaker SPEAKER_09
transcript.pyannote[2770].start 14312.74784375
transcript.pyannote[2770].end 14317.40534375
transcript.pyannote[2771].speaker SPEAKER_09
transcript.pyannote[2771].start 14317.97909375
transcript.pyannote[2771].end 14319.58221875
transcript.pyannote[2772].speaker SPEAKER_09
transcript.pyannote[2772].start 14320.05471875
transcript.pyannote[2772].end 14327.02409375
transcript.pyannote[2773].speaker SPEAKER_04
transcript.pyannote[2773].start 14328.88034375
transcript.pyannote[2773].end 14330.56784375
transcript.pyannote[2774].speaker SPEAKER_04
transcript.pyannote[2774].start 14331.04034375
transcript.pyannote[2774].end 14331.64784375
transcript.pyannote[2775].speaker SPEAKER_00
transcript.pyannote[2775].start 14338.39784375
transcript.pyannote[2775].end 14341.89096875
transcript.pyannote[2776].speaker SPEAKER_04
transcript.pyannote[2776].start 14342.98784375
transcript.pyannote[2776].end 14344.82721875
transcript.pyannote[2777].speaker SPEAKER_00
transcript.pyannote[2777].start 14352.82596875
transcript.pyannote[2777].end 14353.58534375
transcript.pyannote[2778].speaker SPEAKER_00
transcript.pyannote[2778].start 14354.36159375
transcript.pyannote[2778].end 14361.38159375
transcript.pyannote[2779].speaker SPEAKER_01
transcript.pyannote[2779].start 14355.03659375
transcript.pyannote[2779].end 14355.25596875
transcript.pyannote[2780].speaker SPEAKER_03
transcript.pyannote[2780].start 14361.38159375
transcript.pyannote[2780].end 14361.85409375
transcript.pyannote[2781].speaker SPEAKER_00
transcript.pyannote[2781].start 14361.85409375
transcript.pyannote[2781].end 14361.97221875
transcript.pyannote[2782].speaker SPEAKER_03
transcript.pyannote[2782].start 14361.97221875
transcript.pyannote[2782].end 14369.02596875
transcript.pyannote[2783].speaker SPEAKER_00
transcript.pyannote[2783].start 14369.02596875
transcript.pyannote[2783].end 14370.44346875
transcript.pyannote[2784].speaker SPEAKER_03
transcript.pyannote[2784].start 14370.44346875
transcript.pyannote[2784].end 14370.46034375
transcript.pyannote[2785].speaker SPEAKER_03
transcript.pyannote[2785].start 14370.79784375
transcript.pyannote[2785].end 14370.83159375
transcript.pyannote[2786].speaker SPEAKER_00
transcript.pyannote[2786].start 14370.83159375
transcript.pyannote[2786].end 14373.41346875
transcript.pyannote[2787].speaker SPEAKER_00
transcript.pyannote[2787].start 14373.90284375
transcript.pyannote[2787].end 14377.96971875
transcript.pyannote[2788].speaker SPEAKER_03
transcript.pyannote[2788].start 14377.96971875
transcript.pyannote[2788].end 14382.05346875
transcript.pyannote[2789].speaker SPEAKER_25
transcript.pyannote[2789].start 14382.34034375
transcript.pyannote[2789].end 14386.76159375
transcript.pyannote[2790].speaker SPEAKER_03
transcript.pyannote[2790].start 14387.04846875
transcript.pyannote[2790].end 14397.64596875
transcript.pyannote[2791].speaker SPEAKER_03
transcript.pyannote[2791].start 14398.55721875
transcript.pyannote[2791].end 14399.55284375
transcript.pyannote[2792].speaker SPEAKER_03
transcript.pyannote[2792].start 14400.43034375
transcript.pyannote[2792].end 14401.83096875
transcript.pyannote[2793].speaker SPEAKER_03
transcript.pyannote[2793].start 14401.96596875
transcript.pyannote[2793].end 14402.99534375
transcript.pyannote[2794].speaker SPEAKER_03
transcript.pyannote[2794].start 14403.28221875
transcript.pyannote[2794].end 14404.42971875
transcript.pyannote[2795].speaker SPEAKER_03
transcript.pyannote[2795].start 14405.02034375
transcript.pyannote[2795].end 14406.70784375
transcript.pyannote[2796].speaker SPEAKER_03
transcript.pyannote[2796].start 14407.02846875
transcript.pyannote[2796].end 14413.47471875
transcript.pyannote[2797].speaker SPEAKER_03
transcript.pyannote[2797].start 14413.98096875
transcript.pyannote[2797].end 14414.84159375
transcript.pyannote[2798].speaker SPEAKER_03
transcript.pyannote[2798].start 14415.33096875
transcript.pyannote[2798].end 14426.97471875
transcript.pyannote[2799].speaker SPEAKER_03
transcript.pyannote[2799].start 14427.43034375
transcript.pyannote[2799].end 14432.62784375
transcript.pyannote[2800].speaker SPEAKER_03
transcript.pyannote[2800].start 14432.84721875
transcript.pyannote[2800].end 14460.23534375
transcript.pyannote[2801].speaker SPEAKER_03
transcript.pyannote[2801].start 14461.38284375
transcript.pyannote[2801].end 14464.79159375
transcript.pyannote[2802].speaker SPEAKER_03
transcript.pyannote[2802].start 14465.09534375
transcript.pyannote[2802].end 14493.15846875
transcript.pyannote[2803].speaker SPEAKER_03
transcript.pyannote[2803].start 14493.73221875
transcript.pyannote[2803].end 14521.66034375
transcript.pyannote[2804].speaker SPEAKER_03
transcript.pyannote[2804].start 14523.12846875
transcript.pyannote[2804].end 14533.64159375
transcript.pyannote[2805].speaker SPEAKER_03
transcript.pyannote[2805].start 14534.46846875
transcript.pyannote[2805].end 14547.49596875
transcript.pyannote[2806].speaker SPEAKER_03
transcript.pyannote[2806].start 14547.81659375
transcript.pyannote[2806].end 14554.58346875
transcript.pyannote[2807].speaker SPEAKER_03
transcript.pyannote[2807].start 14554.85346875
transcript.pyannote[2807].end 14563.54409375
transcript.pyannote[2808].speaker SPEAKER_03
transcript.pyannote[2808].start 14564.77596875
transcript.pyannote[2808].end 14566.42971875
transcript.pyannote[2809].speaker SPEAKER_03
transcript.pyannote[2809].start 14566.85159375
transcript.pyannote[2809].end 14571.18846875
transcript.pyannote[2810].speaker SPEAKER_03
transcript.pyannote[2810].start 14571.57659375
transcript.pyannote[2810].end 14573.97284375
transcript.pyannote[2811].speaker SPEAKER_03
transcript.pyannote[2811].start 14574.20909375
transcript.pyannote[2811].end 14587.43909375
transcript.pyannote[2812].speaker SPEAKER_03
transcript.pyannote[2812].start 14588.06346875
transcript.pyannote[2812].end 14593.07534375
transcript.pyannote[2813].speaker SPEAKER_03
transcript.pyannote[2813].start 14593.56471875
transcript.pyannote[2813].end 14617.13909375
transcript.pyannote[2814].speaker SPEAKER_03
transcript.pyannote[2814].start 14617.45971875
transcript.pyannote[2814].end 14625.84659375
transcript.pyannote[2815].speaker SPEAKER_03
transcript.pyannote[2815].start 14626.50471875
transcript.pyannote[2815].end 14626.94346875
transcript.pyannote[2816].speaker SPEAKER_03
transcript.pyannote[2816].start 14627.73659375
transcript.pyannote[2816].end 14630.65596875
transcript.pyannote[2817].speaker SPEAKER_03
transcript.pyannote[2817].start 14631.07784375
transcript.pyannote[2817].end 14671.69596875
transcript.pyannote[2818].speaker SPEAKER_18
transcript.pyannote[2818].start 14662.22909375
transcript.pyannote[2818].end 14664.35534375
transcript.pyannote[2819].speaker SPEAKER_00
transcript.pyannote[2819].start 14666.31284375
transcript.pyannote[2819].end 14666.43096875
transcript.pyannote[2820].speaker SPEAKER_18
transcript.pyannote[2820].start 14666.43096875
transcript.pyannote[2820].end 14666.71784375
transcript.pyannote[2821].speaker SPEAKER_00
transcript.pyannote[2821].start 14666.71784375
transcript.pyannote[2821].end 14666.75159375
transcript.pyannote[2822].speaker SPEAKER_18
transcript.pyannote[2822].start 14666.75159375
transcript.pyannote[2822].end 14668.35471875
transcript.pyannote[2823].speaker SPEAKER_00
transcript.pyannote[2823].start 14668.35471875
transcript.pyannote[2823].end 14668.42221875
transcript.pyannote[2824].speaker SPEAKER_03
transcript.pyannote[2824].start 14671.89846875
transcript.pyannote[2824].end 14685.80346875
transcript.pyannote[2825].speaker SPEAKER_00
transcript.pyannote[2825].start 14678.81721875
transcript.pyannote[2825].end 14679.71159375
transcript.pyannote[2826].speaker SPEAKER_00
transcript.pyannote[2826].start 14680.50471875
transcript.pyannote[2826].end 14682.46221875
transcript.pyannote[2827].speaker SPEAKER_03
transcript.pyannote[2827].start 14685.98909375
transcript.pyannote[2827].end 14688.04784375
transcript.pyannote[2828].speaker SPEAKER_04
transcript.pyannote[2828].start 14688.04784375
transcript.pyannote[2828].end 14688.06471875
transcript.pyannote[2829].speaker SPEAKER_17
transcript.pyannote[2829].start 14693.93721875
transcript.pyannote[2829].end 14697.54846875
transcript.pyannote[2830].speaker SPEAKER_04
transcript.pyannote[2830].start 14698.17284375
transcript.pyannote[2830].end 14698.96596875
transcript.pyannote[2831].speaker SPEAKER_17
transcript.pyannote[2831].start 14698.96596875
transcript.pyannote[2831].end 14699.10096875
transcript.pyannote[2832].speaker SPEAKER_17
transcript.pyannote[2832].start 14702.39159375
transcript.pyannote[2832].end 14702.79659375
transcript.pyannote[2833].speaker SPEAKER_25
transcript.pyannote[2833].start 14702.98221875
transcript.pyannote[2833].end 14703.69096875
transcript.pyannote[2834].speaker SPEAKER_17
transcript.pyannote[2834].start 14703.79221875
transcript.pyannote[2834].end 14703.97784375
transcript.pyannote[2835].speaker SPEAKER_10
transcript.pyannote[2835].start 14703.97784375
transcript.pyannote[2835].end 14704.21409375
transcript.pyannote[2836].speaker SPEAKER_10
transcript.pyannote[2836].start 14704.93971875
transcript.pyannote[2836].end 14705.66534375
transcript.pyannote[2837].speaker SPEAKER_10
transcript.pyannote[2837].start 14706.28971875
transcript.pyannote[2837].end 14706.91409375
transcript.pyannote[2838].speaker SPEAKER_10
transcript.pyannote[2838].start 14707.57221875
transcript.pyannote[2838].end 14708.75346875
transcript.pyannote[2839].speaker SPEAKER_10
transcript.pyannote[2839].start 14709.09096875
transcript.pyannote[2839].end 14711.87534375
transcript.pyannote[2840].speaker SPEAKER_10
transcript.pyannote[2840].start 14712.75284375
transcript.pyannote[2840].end 14714.69346875
transcript.pyannote[2841].speaker SPEAKER_10
transcript.pyannote[2841].start 14715.23346875
transcript.pyannote[2841].end 14717.27534375
transcript.pyannote[2842].speaker SPEAKER_25
transcript.pyannote[2842].start 14719.18221875
transcript.pyannote[2842].end 14719.82346875
transcript.pyannote[2843].speaker SPEAKER_17
transcript.pyannote[2843].start 14720.78534375
transcript.pyannote[2843].end 14721.40971875
transcript.pyannote[2844].speaker SPEAKER_25
transcript.pyannote[2844].start 14722.16909375
transcript.pyannote[2844].end 14722.45596875
transcript.pyannote[2845].speaker SPEAKER_17
transcript.pyannote[2845].start 14722.45596875
transcript.pyannote[2845].end 14722.47284375
transcript.pyannote[2846].speaker SPEAKER_17
transcript.pyannote[2846].start 14723.31659375
transcript.pyannote[2846].end 14726.10096875
transcript.pyannote[2847].speaker SPEAKER_25
transcript.pyannote[2847].start 14728.42971875
transcript.pyannote[2847].end 14729.30721875
transcript.pyannote[2848].speaker SPEAKER_25
transcript.pyannote[2848].start 14732.59784375
transcript.pyannote[2848].end 14733.47534375
transcript.pyannote[2849].speaker SPEAKER_17
transcript.pyannote[2849].start 14733.34034375
transcript.pyannote[2849].end 14734.09971875
transcript.pyannote[2850].speaker SPEAKER_24
transcript.pyannote[2850].start 14733.47534375
transcript.pyannote[2850].end 14733.49221875
transcript.pyannote[2851].speaker SPEAKER_17
transcript.pyannote[2851].start 14734.85909375
transcript.pyannote[2851].end 14735.41596875
transcript.pyannote[2852].speaker SPEAKER_17
transcript.pyannote[2852].start 14735.93909375
transcript.pyannote[2852].end 14737.44096875
transcript.pyannote[2853].speaker SPEAKER_17
transcript.pyannote[2853].start 14738.21721875
transcript.pyannote[2853].end 14739.80346875
transcript.pyannote[2854].speaker SPEAKER_10
transcript.pyannote[2854].start 14739.80346875
transcript.pyannote[2854].end 14739.85409375
transcript.pyannote[2855].speaker SPEAKER_17
transcript.pyannote[2855].start 14740.54596875
transcript.pyannote[2855].end 14740.56284375
transcript.pyannote[2856].speaker SPEAKER_10
transcript.pyannote[2856].start 14740.56284375
transcript.pyannote[2856].end 14742.50346875
transcript.pyannote[2857].speaker SPEAKER_10
transcript.pyannote[2857].start 14742.75659375
transcript.pyannote[2857].end 14745.47346875
transcript.pyannote[2858].speaker SPEAKER_10
transcript.pyannote[2858].start 14746.19909375
transcript.pyannote[2858].end 14748.61221875
transcript.pyannote[2859].speaker SPEAKER_10
transcript.pyannote[2859].start 14749.27034375
transcript.pyannote[2859].end 14756.03721875
transcript.pyannote[2860].speaker SPEAKER_10
transcript.pyannote[2860].start 14756.32409375
transcript.pyannote[2860].end 14758.28159375
transcript.pyannote[2861].speaker SPEAKER_10
transcript.pyannote[2861].start 14759.96909375
transcript.pyannote[2861].end 14761.01534375
transcript.pyannote[2862].speaker SPEAKER_10
transcript.pyannote[2862].start 14761.77471875
transcript.pyannote[2862].end 14763.47909375
transcript.pyannote[2863].speaker SPEAKER_10
transcript.pyannote[2863].start 14764.25534375
transcript.pyannote[2863].end 14765.06534375
transcript.pyannote[2864].speaker SPEAKER_10
transcript.pyannote[2864].start 14765.72346875
transcript.pyannote[2864].end 14767.20846875
transcript.pyannote[2865].speaker SPEAKER_10
transcript.pyannote[2865].start 14768.32221875
transcript.pyannote[2865].end 14770.49909375
transcript.pyannote[2866].speaker SPEAKER_10
transcript.pyannote[2866].start 14771.42721875
transcript.pyannote[2866].end 14772.99659375
transcript.pyannote[2867].speaker SPEAKER_25
transcript.pyannote[2867].start 14774.31284375
transcript.pyannote[2867].end 14779.81409375
transcript.pyannote[2868].speaker SPEAKER_10
transcript.pyannote[2868].start 14779.10534375
transcript.pyannote[2868].end 14783.83034375
transcript.pyannote[2869].speaker SPEAKER_10
transcript.pyannote[2869].start 14785.07909375
transcript.pyannote[2869].end 14785.83846875
transcript.pyannote[2870].speaker SPEAKER_25
transcript.pyannote[2870].start 14785.16346875
transcript.pyannote[2870].end 14786.22659375
transcript.pyannote[2871].speaker SPEAKER_25
transcript.pyannote[2871].start 14786.64846875
transcript.pyannote[2871].end 14787.45846875
transcript.pyannote[2872].speaker SPEAKER_10
transcript.pyannote[2872].start 14788.50471875
transcript.pyannote[2872].end 14788.87596875
transcript.pyannote[2873].speaker SPEAKER_25
transcript.pyannote[2873].start 14789.09534375
transcript.pyannote[2873].end 14789.82096875
transcript.pyannote[2874].speaker SPEAKER_10
transcript.pyannote[2874].start 14789.97284375
transcript.pyannote[2874].end 14790.52971875
transcript.pyannote[2875].speaker SPEAKER_10
transcript.pyannote[2875].start 14791.27221875
transcript.pyannote[2875].end 14792.74034375
transcript.pyannote[2876].speaker SPEAKER_10
transcript.pyannote[2876].start 14793.02721875
transcript.pyannote[2876].end 14794.56284375
transcript.pyannote[2877].speaker SPEAKER_10
transcript.pyannote[2877].start 14795.64284375
transcript.pyannote[2877].end 14796.84096875
transcript.pyannote[2878].speaker SPEAKER_10
transcript.pyannote[2878].start 14797.24596875
transcript.pyannote[2878].end 14797.58346875
transcript.pyannote[2879].speaker SPEAKER_10
transcript.pyannote[2879].start 14798.76471875
transcript.pyannote[2879].end 14799.69284375
transcript.pyannote[2880].speaker SPEAKER_10
transcript.pyannote[2880].start 14800.67159375
transcript.pyannote[2880].end 14802.73034375
transcript.pyannote[2881].speaker SPEAKER_10
transcript.pyannote[2881].start 14803.89471875
transcript.pyannote[2881].end 14807.26971875
transcript.pyannote[2882].speaker SPEAKER_10
transcript.pyannote[2882].start 14808.40034375
transcript.pyannote[2882].end 14809.76721875
transcript.pyannote[2883].speaker SPEAKER_10
transcript.pyannote[2883].start 14810.72909375
transcript.pyannote[2883].end 14812.12971875
transcript.pyannote[2884].speaker SPEAKER_10
transcript.pyannote[2884].start 14812.68659375
transcript.pyannote[2884].end 14813.59784375
transcript.pyannote[2885].speaker SPEAKER_10
transcript.pyannote[2885].start 14814.67784375
transcript.pyannote[2885].end 14817.66471875
transcript.pyannote[2886].speaker SPEAKER_10
transcript.pyannote[2886].start 14819.35221875
transcript.pyannote[2886].end 14820.60096875
transcript.pyannote[2887].speaker SPEAKER_25
transcript.pyannote[2887].start 14822.05221875
transcript.pyannote[2887].end 14822.98034375
transcript.pyannote[2888].speaker SPEAKER_10
transcript.pyannote[2888].start 14823.36846875
transcript.pyannote[2888].end 14829.20721875
transcript.pyannote[2889].speaker SPEAKER_10
transcript.pyannote[2889].start 14831.48534375
transcript.pyannote[2889].end 14831.82284375
transcript.pyannote[2890].speaker SPEAKER_10
transcript.pyannote[2890].start 14832.43034375
transcript.pyannote[2890].end 14834.15159375
transcript.pyannote[2891].speaker SPEAKER_10
transcript.pyannote[2891].start 14836.78409375
transcript.pyannote[2891].end 14838.82596875
transcript.pyannote[2892].speaker SPEAKER_10
transcript.pyannote[2892].start 14840.56409375
transcript.pyannote[2892].end 14841.62721875
transcript.pyannote[2893].speaker SPEAKER_10
transcript.pyannote[2893].start 14842.77471875
transcript.pyannote[2893].end 14844.20909375
transcript.pyannote[2894].speaker SPEAKER_10
transcript.pyannote[2894].start 14845.39034375
transcript.pyannote[2894].end 14846.45346875
transcript.pyannote[2895].speaker SPEAKER_10
transcript.pyannote[2895].start 14847.04409375
transcript.pyannote[2895].end 14848.05659375
transcript.pyannote[2896].speaker SPEAKER_10
transcript.pyannote[2896].start 14848.95096875
transcript.pyannote[2896].end 14850.70596875
transcript.pyannote[2897].speaker SPEAKER_10
transcript.pyannote[2897].start 14851.46534375
transcript.pyannote[2897].end 14852.30909375
transcript.pyannote[2898].speaker SPEAKER_10
transcript.pyannote[2898].start 14853.15284375
transcript.pyannote[2898].end 14853.65909375
transcript.pyannote[2899].speaker SPEAKER_10
transcript.pyannote[2899].start 14854.09784375
transcript.pyannote[2899].end 14854.90784375
transcript.pyannote[2900].speaker SPEAKER_10
transcript.pyannote[2900].start 14859.16034375
transcript.pyannote[2900].end 14859.86909375
transcript.pyannote[2901].speaker SPEAKER_10
transcript.pyannote[2901].start 14859.97034375
transcript.pyannote[2901].end 14861.18534375
transcript.pyannote[2902].speaker SPEAKER_10
transcript.pyannote[2902].start 14862.09659375
transcript.pyannote[2902].end 14863.59846875
transcript.pyannote[2903].speaker SPEAKER_25
transcript.pyannote[2903].start 14863.93596875
transcript.pyannote[2903].end 14864.67846875
transcript.pyannote[2904].speaker SPEAKER_10
transcript.pyannote[2904].start 14865.28596875
transcript.pyannote[2904].end 14866.19721875
transcript.pyannote[2905].speaker SPEAKER_10
transcript.pyannote[2905].start 14866.65284375
transcript.pyannote[2905].end 14869.50471875
transcript.pyannote[2906].speaker SPEAKER_25
transcript.pyannote[2906].start 14870.14596875
transcript.pyannote[2906].end 14871.42846875
transcript.pyannote[2907].speaker SPEAKER_10
transcript.pyannote[2907].start 14871.98534375
transcript.pyannote[2907].end 14873.50409375
transcript.pyannote[2908].speaker SPEAKER_25
transcript.pyannote[2908].start 14873.47034375
transcript.pyannote[2908].end 14873.82471875
transcript.pyannote[2909].speaker SPEAKER_10
transcript.pyannote[2909].start 14873.52096875
transcript.pyannote[2909].end 14873.55471875
transcript.pyannote[2910].speaker SPEAKER_10
transcript.pyannote[2910].start 14873.94284375
transcript.pyannote[2910].end 14878.19534375
transcript.pyannote[2911].speaker SPEAKER_25
transcript.pyannote[2911].start 14878.73534375
transcript.pyannote[2911].end 14882.11034375
transcript.pyannote[2912].speaker SPEAKER_10
transcript.pyannote[2912].start 14882.58284375
transcript.pyannote[2912].end 14888.47221875
transcript.pyannote[2913].speaker SPEAKER_10
transcript.pyannote[2913].start 14889.40034375
transcript.pyannote[2913].end 14889.90659375
transcript.pyannote[2914].speaker SPEAKER_10
transcript.pyannote[2914].start 14890.17659375
transcript.pyannote[2914].end 14891.74596875
transcript.pyannote[2915].speaker SPEAKER_10
transcript.pyannote[2915].start 14892.48846875
transcript.pyannote[2915].end 14893.21409375
transcript.pyannote[2916].speaker SPEAKER_10
transcript.pyannote[2916].start 14893.55159375
transcript.pyannote[2916].end 14894.00721875
transcript.pyannote[2917].speaker SPEAKER_10
transcript.pyannote[2917].start 14894.76659375
transcript.pyannote[2917].end 14895.74534375
transcript.pyannote[2918].speaker SPEAKER_10
transcript.pyannote[2918].start 14896.26846875
transcript.pyannote[2918].end 14897.55096875
transcript.pyannote[2919].speaker SPEAKER_10
transcript.pyannote[2919].start 14898.34409375
transcript.pyannote[2919].end 14899.00221875
transcript.pyannote[2920].speaker SPEAKER_10
transcript.pyannote[2920].start 14900.14971875
transcript.pyannote[2920].end 14901.33096875
transcript.pyannote[2921].speaker SPEAKER_25
transcript.pyannote[2921].start 14903.32221875
transcript.pyannote[2921].end 14905.66784375
transcript.pyannote[2922].speaker SPEAKER_10
transcript.pyannote[2922].start 14904.62159375
transcript.pyannote[2922].end 14905.70159375
transcript.pyannote[2923].speaker SPEAKER_25
transcript.pyannote[2923].start 14905.70159375
transcript.pyannote[2923].end 14905.76909375
transcript.pyannote[2924].speaker SPEAKER_10
transcript.pyannote[2924].start 14905.76909375
transcript.pyannote[2924].end 14905.85346875
transcript.pyannote[2925].speaker SPEAKER_10
transcript.pyannote[2925].start 14906.32596875
transcript.pyannote[2925].end 14907.64221875
transcript.pyannote[2926].speaker SPEAKER_10
transcript.pyannote[2926].start 14908.23284375
transcript.pyannote[2926].end 14910.83159375
transcript.pyannote[2927].speaker SPEAKER_10
transcript.pyannote[2927].start 14911.47284375
transcript.pyannote[2927].end 14912.11409375
transcript.pyannote[2928].speaker SPEAKER_10
transcript.pyannote[2928].start 14913.29534375
transcript.pyannote[2928].end 14914.72971875
transcript.pyannote[2929].speaker SPEAKER_10
transcript.pyannote[2929].start 14917.51409375
transcript.pyannote[2929].end 14917.95284375
transcript.pyannote[2930].speaker SPEAKER_10
transcript.pyannote[2930].start 14919.03284375
transcript.pyannote[2930].end 14919.58971875
transcript.pyannote[2931].speaker SPEAKER_10
transcript.pyannote[2931].start 14919.77534375
transcript.pyannote[2931].end 14920.66971875
transcript.pyannote[2932].speaker SPEAKER_10
transcript.pyannote[2932].start 14920.97346875
transcript.pyannote[2932].end 14922.00284375
transcript.pyannote[2933].speaker SPEAKER_10
transcript.pyannote[2933].start 14922.54284375
transcript.pyannote[2933].end 14923.90971875
transcript.pyannote[2934].speaker SPEAKER_10
transcript.pyannote[2934].start 14924.56784375
transcript.pyannote[2934].end 14926.28909375
transcript.pyannote[2935].speaker SPEAKER_10
transcript.pyannote[2935].start 14927.79096875
transcript.pyannote[2935].end 14929.57971875
transcript.pyannote[2936].speaker SPEAKER_10
transcript.pyannote[2936].start 14930.35596875
transcript.pyannote[2936].end 14933.19096875
transcript.pyannote[2937].speaker SPEAKER_10
transcript.pyannote[2937].start 14933.49471875
transcript.pyannote[2937].end 14934.50721875
transcript.pyannote[2938].speaker SPEAKER_10
transcript.pyannote[2938].start 14935.16534375
transcript.pyannote[2938].end 14936.48159375
transcript.pyannote[2939].speaker SPEAKER_10
transcript.pyannote[2939].start 14937.71346875
transcript.pyannote[2939].end 14938.72596875
transcript.pyannote[2940].speaker SPEAKER_10
transcript.pyannote[2940].start 14939.01284375
transcript.pyannote[2940].end 14940.39659375
transcript.pyannote[2941].speaker SPEAKER_25
transcript.pyannote[2941].start 14942.62409375
transcript.pyannote[2941].end 14942.96159375
transcript.pyannote[2942].speaker SPEAKER_10
transcript.pyannote[2942].start 14943.61971875
transcript.pyannote[2942].end 14944.26096875
transcript.pyannote[2943].speaker SPEAKER_10
transcript.pyannote[2943].start 14944.58159375
transcript.pyannote[2943].end 14945.83034375
transcript.pyannote[2944].speaker SPEAKER_10
transcript.pyannote[2944].start 14946.37034375
transcript.pyannote[2944].end 14948.69909375
transcript.pyannote[2945].speaker SPEAKER_10
transcript.pyannote[2945].start 14949.42471875
transcript.pyannote[2945].end 14951.33159375
transcript.pyannote[2946].speaker SPEAKER_04
transcript.pyannote[2946].start 14951.65221875
transcript.pyannote[2946].end 14951.66909375
transcript.pyannote[2947].speaker SPEAKER_04
transcript.pyannote[2947].start 14951.77034375
transcript.pyannote[2947].end 14951.82096875
transcript.pyannote[2948].speaker SPEAKER_04
transcript.pyannote[2948].start 14951.85471875
transcript.pyannote[2948].end 14951.90534375
transcript.pyannote[2949].speaker SPEAKER_10
transcript.pyannote[2949].start 14952.54659375
transcript.pyannote[2949].end 14954.30159375
transcript.pyannote[2950].speaker SPEAKER_10
transcript.pyannote[2950].start 14955.78659375
transcript.pyannote[2950].end 14956.52909375
transcript.pyannote[2951].speaker SPEAKER_10
transcript.pyannote[2951].start 14956.79909375
transcript.pyannote[2951].end 14959.14471875
transcript.pyannote[2952].speaker SPEAKER_10
transcript.pyannote[2952].start 14959.51596875
transcript.pyannote[2952].end 14960.42721875
transcript.pyannote[2953].speaker SPEAKER_10
transcript.pyannote[2953].start 14961.13596875
transcript.pyannote[2953].end 14963.71784375
transcript.pyannote[2954].speaker SPEAKER_25
transcript.pyannote[2954].start 14966.33346875
transcript.pyannote[2954].end 14967.09284375
transcript.pyannote[2955].speaker SPEAKER_25
transcript.pyannote[2955].start 14967.17721875
transcript.pyannote[2955].end 14967.24471875
transcript.pyannote[2956].speaker SPEAKER_10
transcript.pyannote[2956].start 14967.21096875
transcript.pyannote[2956].end 14968.57784375
transcript.pyannote[2957].speaker SPEAKER_10
transcript.pyannote[2957].start 14968.69596875
transcript.pyannote[2957].end 14970.16409375
transcript.pyannote[2958].speaker SPEAKER_25
transcript.pyannote[2958].start 14970.85596875
transcript.pyannote[2958].end 14973.35346875
transcript.pyannote[2959].speaker SPEAKER_10
transcript.pyannote[2959].start 14972.83034375
transcript.pyannote[2959].end 14974.36596875
transcript.pyannote[2960].speaker SPEAKER_10
transcript.pyannote[2960].start 14976.59346875
transcript.pyannote[2960].end 14977.45409375
transcript.pyannote[2961].speaker SPEAKER_10
transcript.pyannote[2961].start 14978.44971875
transcript.pyannote[2961].end 14978.98971875
transcript.pyannote[2962].speaker SPEAKER_10
transcript.pyannote[2962].start 14979.47909375
transcript.pyannote[2962].end 14980.37346875
transcript.pyannote[2963].speaker SPEAKER_10
transcript.pyannote[2963].start 14980.45784375
transcript.pyannote[2963].end 14981.72346875
transcript.pyannote[2964].speaker SPEAKER_10
transcript.pyannote[2964].start 14983.95096875
transcript.pyannote[2964].end 14985.79034375
transcript.pyannote[2965].speaker SPEAKER_10
transcript.pyannote[2965].start 14986.63409375
transcript.pyannote[2965].end 14987.20784375
transcript.pyannote[2966].speaker SPEAKER_10
transcript.pyannote[2966].start 14987.35971875
transcript.pyannote[2966].end 14987.56221875
transcript.pyannote[2967].speaker SPEAKER_10
transcript.pyannote[2967].start 14989.43534375
transcript.pyannote[2967].end 14990.36346875
transcript.pyannote[2968].speaker SPEAKER_10
transcript.pyannote[2968].start 14990.58284375
transcript.pyannote[2968].end 14991.71346875
transcript.pyannote[2969].speaker SPEAKER_10
transcript.pyannote[2969].start 14992.57409375
transcript.pyannote[2969].end 14993.87346875
transcript.pyannote[2970].speaker SPEAKER_10
transcript.pyannote[2970].start 14994.48096875
transcript.pyannote[2970].end 14996.82659375
transcript.pyannote[2971].speaker SPEAKER_10
transcript.pyannote[2971].start 14996.99534375
transcript.pyannote[2971].end 14999.49284375
transcript.pyannote[2972].speaker SPEAKER_10
transcript.pyannote[2972].start 15000.25221875
transcript.pyannote[2972].end 15001.12971875
transcript.pyannote[2973].speaker SPEAKER_10
transcript.pyannote[2973].start 15002.41221875
transcript.pyannote[2973].end 15004.48784375
transcript.pyannote[2974].speaker SPEAKER_10
transcript.pyannote[2974].start 15005.07846875
transcript.pyannote[2974].end 15006.83346875
transcript.pyannote[2975].speaker SPEAKER_10
transcript.pyannote[2975].start 15006.96846875
transcript.pyannote[2975].end 15008.84159375
transcript.pyannote[2976].speaker SPEAKER_10
transcript.pyannote[2976].start 15009.43221875
transcript.pyannote[2976].end 15013.26284375
transcript.pyannote[2977].speaker SPEAKER_10
transcript.pyannote[2977].start 15013.65096875
transcript.pyannote[2977].end 15016.04721875
transcript.pyannote[2978].speaker SPEAKER_10
transcript.pyannote[2978].start 15016.62096875
transcript.pyannote[2978].end 15017.68409375
transcript.pyannote[2979].speaker SPEAKER_10
transcript.pyannote[2979].start 15020.63721875
transcript.pyannote[2979].end 15021.36284375
transcript.pyannote[2980].speaker SPEAKER_14
transcript.pyannote[2980].start 15021.90284375
transcript.pyannote[2980].end 15022.12221875
transcript.pyannote[2981].speaker SPEAKER_10
transcript.pyannote[2981].start 15023.43846875
transcript.pyannote[2981].end 15024.21471875
transcript.pyannote[2982].speaker SPEAKER_10
transcript.pyannote[2982].start 15024.82221875
transcript.pyannote[2982].end 15026.84721875
transcript.pyannote[2983].speaker SPEAKER_10
transcript.pyannote[2983].start 15027.42096875
transcript.pyannote[2983].end 15029.61471875
transcript.pyannote[2984].speaker SPEAKER_10
transcript.pyannote[2984].start 15030.69471875
transcript.pyannote[2984].end 15031.92659375
transcript.pyannote[2985].speaker SPEAKER_10
transcript.pyannote[2985].start 15033.25971875
transcript.pyannote[2985].end 15034.33971875
transcript.pyannote[2986].speaker SPEAKER_10
transcript.pyannote[2986].start 15035.01471875
transcript.pyannote[2986].end 15036.65159375
transcript.pyannote[2987].speaker SPEAKER_10
transcript.pyannote[2987].start 15037.36034375
transcript.pyannote[2987].end 15038.18721875
transcript.pyannote[2988].speaker SPEAKER_25
transcript.pyannote[2988].start 15039.46971875
transcript.pyannote[2988].end 15042.23721875
transcript.pyannote[2989].speaker SPEAKER_10
transcript.pyannote[2989].start 15041.84909375
transcript.pyannote[2989].end 15042.92909375
transcript.pyannote[2990].speaker SPEAKER_25
transcript.pyannote[2990].start 15044.14409375
transcript.pyannote[2990].end 15044.54909375
transcript.pyannote[2991].speaker SPEAKER_25
transcript.pyannote[2991].start 15045.02159375
transcript.pyannote[2991].end 15048.22784375
transcript.pyannote[2992].speaker SPEAKER_10
transcript.pyannote[2992].start 15048.41346875
transcript.pyannote[2992].end 15048.78471875
transcript.pyannote[2993].speaker SPEAKER_10
transcript.pyannote[2993].start 15048.97034375
transcript.pyannote[2993].end 15049.03784375
transcript.pyannote[2994].speaker SPEAKER_10
transcript.pyannote[2994].start 15049.05471875
transcript.pyannote[2994].end 15050.23596875
transcript.pyannote[2995].speaker SPEAKER_10
transcript.pyannote[2995].start 15051.09659375
transcript.pyannote[2995].end 15051.83909375
transcript.pyannote[2996].speaker SPEAKER_10
transcript.pyannote[2996].start 15052.63221875
transcript.pyannote[2996].end 15053.15534375
transcript.pyannote[2997].speaker SPEAKER_10
transcript.pyannote[2997].start 15053.40846875
transcript.pyannote[2997].end 15054.18471875
transcript.pyannote[2998].speaker SPEAKER_10
transcript.pyannote[2998].start 15054.87659375
transcript.pyannote[2998].end 15055.50096875
transcript.pyannote[2999].speaker SPEAKER_10
transcript.pyannote[2999].start 15057.07034375
transcript.pyannote[2999].end 15057.93096875
transcript.pyannote[3000].speaker SPEAKER_10
transcript.pyannote[3000].start 15059.77034375
transcript.pyannote[3000].end 15061.87971875
transcript.pyannote[3001].speaker SPEAKER_10
transcript.pyannote[3001].start 15062.20034375
transcript.pyannote[3001].end 15063.01034375
transcript.pyannote[3002].speaker SPEAKER_10
transcript.pyannote[3002].start 15064.95096875
transcript.pyannote[3002].end 15066.63846875
transcript.pyannote[3003].speaker SPEAKER_10
transcript.pyannote[3003].start 15068.52846875
transcript.pyannote[3003].end 15069.45659375
transcript.pyannote[3004].speaker SPEAKER_18
transcript.pyannote[3004].start 15072.86534375
transcript.pyannote[3004].end 15072.89909375
transcript.pyannote[3005].speaker SPEAKER_10
transcript.pyannote[3005].start 15072.89909375
transcript.pyannote[3005].end 15073.87784375
transcript.pyannote[3006].speaker SPEAKER_10
transcript.pyannote[3006].start 15074.14784375
transcript.pyannote[3006].end 15077.03346875
transcript.pyannote[3007].speaker SPEAKER_10
transcript.pyannote[3007].start 15077.62409375
transcript.pyannote[3007].end 15079.19346875
transcript.pyannote[3008].speaker SPEAKER_10
transcript.pyannote[3008].start 15079.54784375
transcript.pyannote[3008].end 15081.18471875
transcript.pyannote[3009].speaker SPEAKER_10
transcript.pyannote[3009].start 15081.55596875
transcript.pyannote[3009].end 15082.04534375
transcript.pyannote[3010].speaker SPEAKER_10
transcript.pyannote[3010].start 15082.55159375
transcript.pyannote[3010].end 15083.31096875
transcript.pyannote[3011].speaker SPEAKER_10
transcript.pyannote[3011].start 15083.83409375
transcript.pyannote[3011].end 15086.36534375
transcript.pyannote[3012].speaker SPEAKER_25
transcript.pyannote[3012].start 15087.83346875
transcript.pyannote[3012].end 15100.59096875
transcript.pyannote[3013].speaker SPEAKER_25
transcript.pyannote[3013].start 15100.65846875
transcript.pyannote[3013].end 15116.41971875
transcript.pyannote[3014].speaker SPEAKER_17
transcript.pyannote[3014].start 15116.41971875
transcript.pyannote[3014].end 15119.32221875
transcript.pyannote[3015].speaker SPEAKER_25
transcript.pyannote[3015].start 15120.35159375
transcript.pyannote[3015].end 15121.66784375
transcript.pyannote[3016].speaker SPEAKER_10
transcript.pyannote[3016].start 15121.29659375
transcript.pyannote[3016].end 15122.69721875
transcript.pyannote[3017].speaker SPEAKER_10
transcript.pyannote[3017].start 15124.40159375
transcript.pyannote[3017].end 15125.14409375
transcript.pyannote[3018].speaker SPEAKER_25
transcript.pyannote[3018].start 15126.02159375
transcript.pyannote[3018].end 15127.59096875
transcript.pyannote[3019].speaker SPEAKER_10
transcript.pyannote[3019].start 15127.67534375
transcript.pyannote[3019].end 15140.39909375
transcript.pyannote[3020].speaker SPEAKER_10
transcript.pyannote[3020].start 15140.95596875
transcript.pyannote[3020].end 15141.95159375
transcript.pyannote[3021].speaker SPEAKER_10
transcript.pyannote[3021].start 15143.01471875
transcript.pyannote[3021].end 15144.01034375
transcript.pyannote[3022].speaker SPEAKER_25
transcript.pyannote[3022].start 15146.15346875
transcript.pyannote[3022].end 15147.95909375
transcript.pyannote[3023].speaker SPEAKER_10
transcript.pyannote[3023].start 15147.97596875
transcript.pyannote[3023].end 15149.00534375
transcript.pyannote[3024].speaker SPEAKER_10
transcript.pyannote[3024].start 15153.76409375
transcript.pyannote[3024].end 15154.57409375
transcript.pyannote[3025].speaker SPEAKER_10
transcript.pyannote[3025].start 15155.08034375
transcript.pyannote[3025].end 15155.95784375
transcript.pyannote[3026].speaker SPEAKER_10
transcript.pyannote[3026].start 15157.45971875
transcript.pyannote[3026].end 15160.32846875
transcript.pyannote[3027].speaker SPEAKER_10
transcript.pyannote[3027].start 15160.80096875
transcript.pyannote[3027].end 15162.48846875
transcript.pyannote[3028].speaker SPEAKER_10
transcript.pyannote[3028].start 15162.67409375
transcript.pyannote[3028].end 15163.41659375
transcript.pyannote[3029].speaker SPEAKER_10
transcript.pyannote[3029].start 15167.38221875
transcript.pyannote[3029].end 15167.82096875
transcript.pyannote[3030].speaker SPEAKER_10
transcript.pyannote[3030].start 15168.12471875
transcript.pyannote[3030].end 15169.45784375
transcript.pyannote[3031].speaker SPEAKER_10
transcript.pyannote[3031].start 15169.69409375
transcript.pyannote[3031].end 15171.85409375
transcript.pyannote[3032].speaker SPEAKER_10
transcript.pyannote[3032].start 15172.57971875
transcript.pyannote[3032].end 15173.47409375
transcript.pyannote[3033].speaker SPEAKER_10
transcript.pyannote[3033].start 15174.13221875
transcript.pyannote[3033].end 15175.17846875
transcript.pyannote[3034].speaker SPEAKER_10
transcript.pyannote[3034].start 15175.90409375
transcript.pyannote[3034].end 15176.66346875
transcript.pyannote[3035].speaker SPEAKER_10
transcript.pyannote[3035].start 15177.77721875
transcript.pyannote[3035].end 15178.70534375
transcript.pyannote[3036].speaker SPEAKER_10
transcript.pyannote[3036].start 15180.94971875
transcript.pyannote[3036].end 15182.13096875
transcript.pyannote[3037].speaker SPEAKER_10
transcript.pyannote[3037].start 15183.73409375
transcript.pyannote[3037].end 15184.12221875
transcript.pyannote[3038].speaker SPEAKER_10
transcript.pyannote[3038].start 15184.83096875
transcript.pyannote[3038].end 15186.09659375
transcript.pyannote[3039].speaker SPEAKER_25
transcript.pyannote[3039].start 15186.09659375
transcript.pyannote[3039].end 15186.56909375
transcript.pyannote[3040].speaker SPEAKER_10
transcript.pyannote[3040].start 15186.80534375
transcript.pyannote[3040].end 15187.22721875
transcript.pyannote[3041].speaker SPEAKER_10
transcript.pyannote[3041].start 15187.75034375
transcript.pyannote[3041].end 15188.59409375
transcript.pyannote[3042].speaker SPEAKER_10
transcript.pyannote[3042].start 15189.53909375
transcript.pyannote[3042].end 15191.85096875
transcript.pyannote[3043].speaker SPEAKER_10
transcript.pyannote[3043].start 15192.88034375
transcript.pyannote[3043].end 15195.02346875
transcript.pyannote[3044].speaker SPEAKER_10
transcript.pyannote[3044].start 15195.59721875
transcript.pyannote[3044].end 15197.52096875
transcript.pyannote[3045].speaker SPEAKER_10
transcript.pyannote[3045].start 15197.72346875
transcript.pyannote[3045].end 15198.78659375
transcript.pyannote[3046].speaker SPEAKER_10
transcript.pyannote[3046].start 15199.34346875
transcript.pyannote[3046].end 15201.65534375
transcript.pyannote[3047].speaker SPEAKER_10
transcript.pyannote[3047].start 15202.11096875
transcript.pyannote[3047].end 15202.97159375
transcript.pyannote[3048].speaker SPEAKER_10
transcript.pyannote[3048].start 15203.81534375
transcript.pyannote[3048].end 15204.32159375
transcript.pyannote[3049].speaker SPEAKER_10
transcript.pyannote[3049].start 15204.72659375
transcript.pyannote[3049].end 15206.04284375
transcript.pyannote[3050].speaker SPEAKER_10
transcript.pyannote[3050].start 15206.54909375
transcript.pyannote[3050].end 15207.86534375
transcript.pyannote[3051].speaker SPEAKER_10
transcript.pyannote[3051].start 15209.62034375
transcript.pyannote[3051].end 15210.16034375
transcript.pyannote[3052].speaker SPEAKER_10
transcript.pyannote[3052].start 15211.51034375
transcript.pyannote[3052].end 15213.34971875
transcript.pyannote[3053].speaker SPEAKER_10
transcript.pyannote[3053].start 15213.78846875
transcript.pyannote[3053].end 15215.00346875
transcript.pyannote[3054].speaker SPEAKER_10
transcript.pyannote[3054].start 15215.32409375
transcript.pyannote[3054].end 15216.70784375
transcript.pyannote[3055].speaker SPEAKER_10
transcript.pyannote[3055].start 15218.68221875
transcript.pyannote[3055].end 15219.25596875
transcript.pyannote[3056].speaker SPEAKER_10
transcript.pyannote[3056].start 15220.28534375
transcript.pyannote[3056].end 15221.61846875
transcript.pyannote[3057].speaker SPEAKER_10
transcript.pyannote[3057].start 15222.10784375
transcript.pyannote[3057].end 15222.98534375
transcript.pyannote[3058].speaker SPEAKER_10
transcript.pyannote[3058].start 15223.74471875
transcript.pyannote[3058].end 15224.52096875
transcript.pyannote[3059].speaker SPEAKER_10
transcript.pyannote[3059].start 15224.97659375
transcript.pyannote[3059].end 15226.22534375
transcript.pyannote[3060].speaker SPEAKER_10
transcript.pyannote[3060].start 15226.84971875
transcript.pyannote[3060].end 15228.03096875
transcript.pyannote[3061].speaker SPEAKER_10
transcript.pyannote[3061].start 15229.00971875
transcript.pyannote[3061].end 15229.93784375
transcript.pyannote[3062].speaker SPEAKER_10
transcript.pyannote[3062].start 15230.64659375
transcript.pyannote[3062].end 15232.89096875
transcript.pyannote[3063].speaker SPEAKER_10
transcript.pyannote[3063].start 15233.26221875
transcript.pyannote[3063].end 15235.18596875
transcript.pyannote[3064].speaker SPEAKER_25
transcript.pyannote[3064].start 15235.84409375
transcript.pyannote[3064].end 15236.77221875
transcript.pyannote[3065].speaker SPEAKER_10
transcript.pyannote[3065].start 15237.93659375
transcript.pyannote[3065].end 15239.75909375
transcript.pyannote[3066].speaker SPEAKER_10
transcript.pyannote[3066].start 15240.09659375
transcript.pyannote[3066].end 15241.96971875
transcript.pyannote[3067].speaker SPEAKER_10
transcript.pyannote[3067].start 15242.40846875
transcript.pyannote[3067].end 15243.87659375
transcript.pyannote[3068].speaker SPEAKER_25
transcript.pyannote[3068].start 15244.50096875
transcript.pyannote[3068].end 15248.33159375
transcript.pyannote[3069].speaker SPEAKER_10
transcript.pyannote[3069].start 15248.78721875
transcript.pyannote[3069].end 15249.10784375
transcript.pyannote[3070].speaker SPEAKER_10
transcript.pyannote[3070].start 15249.76596875
transcript.pyannote[3070].end 15251.45346875
transcript.pyannote[3071].speaker SPEAKER_10
transcript.pyannote[3071].start 15252.07784375
transcript.pyannote[3071].end 15253.66409375
transcript.pyannote[3072].speaker SPEAKER_10
transcript.pyannote[3072].start 15254.50784375
transcript.pyannote[3072].end 15257.29221875
transcript.pyannote[3073].speaker SPEAKER_10
transcript.pyannote[3073].start 15257.74784375
transcript.pyannote[3073].end 15259.13159375
transcript.pyannote[3074].speaker SPEAKER_10
transcript.pyannote[3074].start 15259.36784375
transcript.pyannote[3074].end 15262.57409375
transcript.pyannote[3075].speaker SPEAKER_25
transcript.pyannote[3075].start 15263.95784375
transcript.pyannote[3075].end 15265.54409375
transcript.pyannote[3076].speaker SPEAKER_25
transcript.pyannote[3076].start 15266.65784375
transcript.pyannote[3076].end 15267.41721875
transcript.pyannote[3077].speaker SPEAKER_25
transcript.pyannote[3077].start 15267.46784375
transcript.pyannote[3077].end 15268.90221875
transcript.pyannote[3078].speaker SPEAKER_10
transcript.pyannote[3078].start 15268.75034375
transcript.pyannote[3078].end 15279.73596875
transcript.pyannote[3079].speaker SPEAKER_10
transcript.pyannote[3079].start 15281.10284375
transcript.pyannote[3079].end 15283.14471875
transcript.pyannote[3080].speaker SPEAKER_10
transcript.pyannote[3080].start 15283.66784375
transcript.pyannote[3080].end 15284.10659375
transcript.pyannote[3081].speaker SPEAKER_10
transcript.pyannote[3081].start 15284.78159375
transcript.pyannote[3081].end 15285.87846875
transcript.pyannote[3082].speaker SPEAKER_10
transcript.pyannote[3082].start 15286.92471875
transcript.pyannote[3082].end 15287.36346875
transcript.pyannote[3083].speaker SPEAKER_10
transcript.pyannote[3083].start 15287.51534375
transcript.pyannote[3083].end 15288.52784375
transcript.pyannote[3084].speaker SPEAKER_10
transcript.pyannote[3084].start 15289.11846875
transcript.pyannote[3084].end 15290.60346875
transcript.pyannote[3085].speaker SPEAKER_10
transcript.pyannote[3085].start 15291.58221875
transcript.pyannote[3085].end 15292.91534375
transcript.pyannote[3086].speaker SPEAKER_10
transcript.pyannote[3086].start 15294.14721875
transcript.pyannote[3086].end 15294.73784375
transcript.pyannote[3087].speaker SPEAKER_10
transcript.pyannote[3087].start 15294.92346875
transcript.pyannote[3087].end 15297.18471875
transcript.pyannote[3088].speaker SPEAKER_10
transcript.pyannote[3088].start 15298.26471875
transcript.pyannote[3088].end 15298.82159375
transcript.pyannote[3089].speaker SPEAKER_10
transcript.pyannote[3089].start 15299.15909375
transcript.pyannote[3089].end 15299.63159375
transcript.pyannote[3090].speaker SPEAKER_10
transcript.pyannote[3090].start 15299.86784375
transcript.pyannote[3090].end 15300.62721875
transcript.pyannote[3091].speaker SPEAKER_10
transcript.pyannote[3091].start 15300.99846875
transcript.pyannote[3091].end 15304.39034375
transcript.pyannote[3092].speaker SPEAKER_10
transcript.pyannote[3092].start 15304.74471875
transcript.pyannote[3092].end 15306.80346875
transcript.pyannote[3093].speaker SPEAKER_10
transcript.pyannote[3093].start 15307.30971875
transcript.pyannote[3093].end 15308.50784375
transcript.pyannote[3094].speaker SPEAKER_10
transcript.pyannote[3094].start 15309.70596875
transcript.pyannote[3094].end 15310.02659375
transcript.pyannote[3095].speaker SPEAKER_10
transcript.pyannote[3095].start 15311.24159375
transcript.pyannote[3095].end 15313.14846875
transcript.pyannote[3096].speaker SPEAKER_10
transcript.pyannote[3096].start 15314.07659375
transcript.pyannote[3096].end 15315.49409375
transcript.pyannote[3097].speaker SPEAKER_10
transcript.pyannote[3097].start 15315.81471875
transcript.pyannote[3097].end 15317.24909375
transcript.pyannote[3098].speaker SPEAKER_10
transcript.pyannote[3098].start 15317.40096875
transcript.pyannote[3098].end 15317.41784375
transcript.pyannote[3099].speaker SPEAKER_17
transcript.pyannote[3099].start 15317.41784375
transcript.pyannote[3099].end 15318.09284375
transcript.pyannote[3100].speaker SPEAKER_10
transcript.pyannote[3100].start 15318.27846875
transcript.pyannote[3100].end 15319.03784375
transcript.pyannote[3101].speaker SPEAKER_04
transcript.pyannote[3101].start 15319.03784375
transcript.pyannote[3101].end 15320.70846875
transcript.pyannote[3102].speaker SPEAKER_04
transcript.pyannote[3102].start 15320.86034375
transcript.pyannote[3102].end 15323.05409375
transcript.pyannote[3103].speaker SPEAKER_13
transcript.pyannote[3103].start 15337.92096875
transcript.pyannote[3103].end 15340.57034375
transcript.pyannote[3104].speaker SPEAKER_13
transcript.pyannote[3104].start 15342.42659375
transcript.pyannote[3104].end 15343.25346875
transcript.pyannote[3105].speaker SPEAKER_13
transcript.pyannote[3105].start 15346.17284375
transcript.pyannote[3105].end 15346.83096875
transcript.pyannote[3106].speaker SPEAKER_13
transcript.pyannote[3106].start 15347.08409375
transcript.pyannote[3106].end 15348.99096875
transcript.pyannote[3107].speaker SPEAKER_13
transcript.pyannote[3107].start 15349.90221875
transcript.pyannote[3107].end 15352.12971875
transcript.pyannote[3108].speaker SPEAKER_13
transcript.pyannote[3108].start 15352.99034375
transcript.pyannote[3108].end 15354.54284375
transcript.pyannote[3109].speaker SPEAKER_13
transcript.pyannote[3109].start 15354.99846875
transcript.pyannote[3109].end 15355.26846875
transcript.pyannote[3110].speaker SPEAKER_13
transcript.pyannote[3110].start 15355.92659375
transcript.pyannote[3110].end 15357.25971875
transcript.pyannote[3111].speaker SPEAKER_13
transcript.pyannote[3111].start 15357.95159375
transcript.pyannote[3111].end 15358.77846875
transcript.pyannote[3112].speaker SPEAKER_13
transcript.pyannote[3112].start 15359.35221875
transcript.pyannote[3112].end 15360.53346875
transcript.pyannote[3113].speaker SPEAKER_13
transcript.pyannote[3113].start 15361.39409375
transcript.pyannote[3113].end 15364.87034375
transcript.pyannote[3114].speaker SPEAKER_13
transcript.pyannote[3114].start 15365.46096875
transcript.pyannote[3114].end 15372.44721875
transcript.pyannote[3115].speaker SPEAKER_13
transcript.pyannote[3115].start 15372.95346875
transcript.pyannote[3115].end 15373.88159375
transcript.pyannote[3116].speaker SPEAKER_13
transcript.pyannote[3116].start 15374.72534375
transcript.pyannote[3116].end 15376.80096875
transcript.pyannote[3117].speaker SPEAKER_13
transcript.pyannote[3117].start 15377.37471875
transcript.pyannote[3117].end 15379.18034375
transcript.pyannote[3118].speaker SPEAKER_13
transcript.pyannote[3118].start 15379.93971875
transcript.pyannote[3118].end 15381.12096875
transcript.pyannote[3119].speaker SPEAKER_13
transcript.pyannote[3119].start 15381.91409375
transcript.pyannote[3119].end 15384.19221875
transcript.pyannote[3120].speaker SPEAKER_13
transcript.pyannote[3120].start 15384.96846875
transcript.pyannote[3120].end 15386.55471875
transcript.pyannote[3121].speaker SPEAKER_13
transcript.pyannote[3121].start 15387.06096875
transcript.pyannote[3121].end 15388.34346875
transcript.pyannote[3122].speaker SPEAKER_13
transcript.pyannote[3122].start 15388.93409375
transcript.pyannote[3122].end 15393.47346875
transcript.pyannote[3123].speaker SPEAKER_25
transcript.pyannote[3123].start 15393.05159375
transcript.pyannote[3123].end 15397.65846875
transcript.pyannote[3124].speaker SPEAKER_13
transcript.pyannote[3124].start 15395.14409375
transcript.pyannote[3124].end 15396.17346875
transcript.pyannote[3125].speaker SPEAKER_13
transcript.pyannote[3125].start 15397.50659375
transcript.pyannote[3125].end 15403.12596875
transcript.pyannote[3126].speaker SPEAKER_13
transcript.pyannote[3126].start 15403.83471875
transcript.pyannote[3126].end 15405.84284375
transcript.pyannote[3127].speaker SPEAKER_13
transcript.pyannote[3127].start 15406.48409375
transcript.pyannote[3127].end 15418.61721875
transcript.pyannote[3128].speaker SPEAKER_13
transcript.pyannote[3128].start 15420.77721875
transcript.pyannote[3128].end 15429.13034375
transcript.pyannote[3129].speaker SPEAKER_13
transcript.pyannote[3129].start 15429.23159375
transcript.pyannote[3129].end 15433.19721875
transcript.pyannote[3130].speaker SPEAKER_13
transcript.pyannote[3130].start 15433.78784375
transcript.pyannote[3130].end 15436.36971875
transcript.pyannote[3131].speaker SPEAKER_13
transcript.pyannote[3131].start 15436.94346875
transcript.pyannote[3131].end 15438.61409375
transcript.pyannote[3132].speaker SPEAKER_13
transcript.pyannote[3132].start 15438.86721875
transcript.pyannote[3132].end 15440.18346875
transcript.pyannote[3133].speaker SPEAKER_13
transcript.pyannote[3133].start 15440.68971875
transcript.pyannote[3133].end 15440.95971875
transcript.pyannote[3134].speaker SPEAKER_13
transcript.pyannote[3134].start 15441.28034375
transcript.pyannote[3134].end 15444.03096875
transcript.pyannote[3135].speaker SPEAKER_13
transcript.pyannote[3135].start 15444.50346875
transcript.pyannote[3135].end 15453.56534375
transcript.pyannote[3136].speaker SPEAKER_13
transcript.pyannote[3136].start 15453.59909375
transcript.pyannote[3136].end 15458.64471875
transcript.pyannote[3137].speaker SPEAKER_13
transcript.pyannote[3137].start 15459.11721875
transcript.pyannote[3137].end 15460.28159375
transcript.pyannote[3138].speaker SPEAKER_13
transcript.pyannote[3138].start 15462.13784375
transcript.pyannote[3138].end 15463.80846875
transcript.pyannote[3139].speaker SPEAKER_13
transcript.pyannote[3139].start 15463.87596875
transcript.pyannote[3139].end 15468.82034375
transcript.pyannote[3140].speaker SPEAKER_13
transcript.pyannote[3140].start 15469.32659375
transcript.pyannote[3140].end 15469.84971875
transcript.pyannote[3141].speaker SPEAKER_13
transcript.pyannote[3141].start 15470.69346875
transcript.pyannote[3141].end 15472.75221875
transcript.pyannote[3142].speaker SPEAKER_13
transcript.pyannote[3142].start 15473.19096875
transcript.pyannote[3142].end 15474.70971875
transcript.pyannote[3143].speaker SPEAKER_13
transcript.pyannote[3143].start 15475.26659375
transcript.pyannote[3143].end 15476.11034375
transcript.pyannote[3144].speaker SPEAKER_13
transcript.pyannote[3144].start 15476.73471875
transcript.pyannote[3144].end 15479.26596875
transcript.pyannote[3145].speaker SPEAKER_13
transcript.pyannote[3145].start 15479.92409375
transcript.pyannote[3145].end 15480.86909375
transcript.pyannote[3146].speaker SPEAKER_13
transcript.pyannote[3146].start 15481.86471875
transcript.pyannote[3146].end 15486.42096875
transcript.pyannote[3147].speaker SPEAKER_13
transcript.pyannote[3147].start 15487.28159375
transcript.pyannote[3147].end 15490.26846875
transcript.pyannote[3148].speaker SPEAKER_13
transcript.pyannote[3148].start 15491.55096875
transcript.pyannote[3148].end 15492.44534375
transcript.pyannote[3149].speaker SPEAKER_13
transcript.pyannote[3149].start 15492.81659375
transcript.pyannote[3149].end 15495.14534375
transcript.pyannote[3150].speaker SPEAKER_13
transcript.pyannote[3150].start 15495.65159375
transcript.pyannote[3150].end 15496.71471875
transcript.pyannote[3151].speaker SPEAKER_13
transcript.pyannote[3151].start 15496.98471875
transcript.pyannote[3151].end 15498.77346875
transcript.pyannote[3152].speaker SPEAKER_13
transcript.pyannote[3152].start 15499.09409375
transcript.pyannote[3152].end 15501.49034375
transcript.pyannote[3153].speaker SPEAKER_13
transcript.pyannote[3153].start 15501.94596875
transcript.pyannote[3153].end 15503.85284375
transcript.pyannote[3154].speaker SPEAKER_13
transcript.pyannote[3154].start 15504.17346875
transcript.pyannote[3154].end 15505.30409375
transcript.pyannote[3155].speaker SPEAKER_13
transcript.pyannote[3155].start 15505.62471875
transcript.pyannote[3155].end 15506.35034375
transcript.pyannote[3156].speaker SPEAKER_13
transcript.pyannote[3156].start 15506.97471875
transcript.pyannote[3156].end 15507.95346875
transcript.pyannote[3157].speaker SPEAKER_13
transcript.pyannote[3157].start 15508.64534375
transcript.pyannote[3157].end 15508.98284375
transcript.pyannote[3158].speaker SPEAKER_13
transcript.pyannote[3158].start 15509.26971875
transcript.pyannote[3158].end 15510.60284375
transcript.pyannote[3159].speaker SPEAKER_13
transcript.pyannote[3159].start 15511.24409375
transcript.pyannote[3159].end 15512.37471875
transcript.pyannote[3160].speaker SPEAKER_13
transcript.pyannote[3160].start 15513.40409375
transcript.pyannote[3160].end 15513.65721875
transcript.pyannote[3161].speaker SPEAKER_13
transcript.pyannote[3161].start 15513.92721875
transcript.pyannote[3161].end 15514.48409375
transcript.pyannote[3162].speaker SPEAKER_13
transcript.pyannote[3162].start 15514.73721875
transcript.pyannote[3162].end 15516.50909375
transcript.pyannote[3163].speaker SPEAKER_13
transcript.pyannote[3163].start 15517.35284375
transcript.pyannote[3163].end 15518.83784375
transcript.pyannote[3164].speaker SPEAKER_13
transcript.pyannote[3164].start 15519.90096875
transcript.pyannote[3164].end 15523.09034375
transcript.pyannote[3165].speaker SPEAKER_13
transcript.pyannote[3165].start 15523.93409375
transcript.pyannote[3165].end 15525.72284375
transcript.pyannote[3166].speaker SPEAKER_13
transcript.pyannote[3166].start 15526.04346875
transcript.pyannote[3166].end 15528.45659375
transcript.pyannote[3167].speaker SPEAKER_13
transcript.pyannote[3167].start 15528.94596875
transcript.pyannote[3167].end 15533.62034375
transcript.pyannote[3168].speaker SPEAKER_13
transcript.pyannote[3168].start 15534.12659375
transcript.pyannote[3168].end 15535.83096875
transcript.pyannote[3169].speaker SPEAKER_13
transcript.pyannote[3169].start 15536.50596875
transcript.pyannote[3169].end 15538.31159375
transcript.pyannote[3170].speaker SPEAKER_13
transcript.pyannote[3170].start 15538.91909375
transcript.pyannote[3170].end 15555.69284375
transcript.pyannote[3171].speaker SPEAKER_13
transcript.pyannote[3171].start 15557.02596875
transcript.pyannote[3171].end 15562.45971875
transcript.pyannote[3172].speaker SPEAKER_13
transcript.pyannote[3172].start 15563.25284375
transcript.pyannote[3172].end 15564.90659375
transcript.pyannote[3173].speaker SPEAKER_13
transcript.pyannote[3173].start 15565.85159375
transcript.pyannote[3173].end 15567.74159375
transcript.pyannote[3174].speaker SPEAKER_13
transcript.pyannote[3174].start 15568.06221875
transcript.pyannote[3174].end 15570.50909375
transcript.pyannote[3175].speaker SPEAKER_13
transcript.pyannote[3175].start 15571.42034375
transcript.pyannote[3175].end 15574.52534375
transcript.pyannote[3176].speaker SPEAKER_13
transcript.pyannote[3176].start 15574.81221875
transcript.pyannote[3176].end 15576.29721875
transcript.pyannote[3177].speaker SPEAKER_13
transcript.pyannote[3177].start 15577.30971875
transcript.pyannote[3177].end 15580.95471875
transcript.pyannote[3178].speaker SPEAKER_13
transcript.pyannote[3178].start 15581.62971875
transcript.pyannote[3178].end 15584.27909375
transcript.pyannote[3179].speaker SPEAKER_13
transcript.pyannote[3179].start 15584.70096875
transcript.pyannote[3179].end 15587.38409375
transcript.pyannote[3180].speaker SPEAKER_13
transcript.pyannote[3180].start 15588.17721875
transcript.pyannote[3180].end 15590.26971875
transcript.pyannote[3181].speaker SPEAKER_13
transcript.pyannote[3181].start 15590.84346875
transcript.pyannote[3181].end 15594.45471875
transcript.pyannote[3182].speaker SPEAKER_13
transcript.pyannote[3182].start 15594.82596875
transcript.pyannote[3182].end 15597.10409375
transcript.pyannote[3183].speaker SPEAKER_13
transcript.pyannote[3183].start 15597.71159375
transcript.pyannote[3183].end 15600.19221875
transcript.pyannote[3184].speaker SPEAKER_13
transcript.pyannote[3184].start 15600.56346875
transcript.pyannote[3184].end 15602.35221875
transcript.pyannote[3185].speaker SPEAKER_13
transcript.pyannote[3185].start 15602.85846875
transcript.pyannote[3185].end 15603.90471875
transcript.pyannote[3186].speaker SPEAKER_13
transcript.pyannote[3186].start 15604.25909375
transcript.pyannote[3186].end 15608.66346875
transcript.pyannote[3187].speaker SPEAKER_13
transcript.pyannote[3187].start 15609.77721875
transcript.pyannote[3187].end 15611.70096875
transcript.pyannote[3188].speaker SPEAKER_13
transcript.pyannote[3188].start 15612.56159375
transcript.pyannote[3188].end 15614.04659375
transcript.pyannote[3189].speaker SPEAKER_13
transcript.pyannote[3189].start 15614.40096875
transcript.pyannote[3189].end 15616.03784375
transcript.pyannote[3190].speaker SPEAKER_13
transcript.pyannote[3190].start 15616.17284375
transcript.pyannote[3190].end 15616.59471875
transcript.pyannote[3191].speaker SPEAKER_13
transcript.pyannote[3191].start 15616.94909375
transcript.pyannote[3191].end 15618.60284375
transcript.pyannote[3192].speaker SPEAKER_13
transcript.pyannote[3192].start 15619.42971875
transcript.pyannote[3192].end 15620.76284375
transcript.pyannote[3193].speaker SPEAKER_13
transcript.pyannote[3193].start 15621.15096875
transcript.pyannote[3193].end 15621.96096875
transcript.pyannote[3194].speaker SPEAKER_13
transcript.pyannote[3194].start 15622.51784375
transcript.pyannote[3194].end 15625.35284375
transcript.pyannote[3195].speaker SPEAKER_13
transcript.pyannote[3195].start 15625.89284375
transcript.pyannote[3195].end 15627.61409375
transcript.pyannote[3196].speaker SPEAKER_13
transcript.pyannote[3196].start 15628.15409375
transcript.pyannote[3196].end 15628.94721875
transcript.pyannote[3197].speaker SPEAKER_13
transcript.pyannote[3197].start 15629.63909375
transcript.pyannote[3197].end 15631.12409375
transcript.pyannote[3198].speaker SPEAKER_13
transcript.pyannote[3198].start 15631.71471875
transcript.pyannote[3198].end 15632.23784375
transcript.pyannote[3199].speaker SPEAKER_13
transcript.pyannote[3199].start 15633.35159375
transcript.pyannote[3199].end 15635.71409375
transcript.pyannote[3200].speaker SPEAKER_13
transcript.pyannote[3200].start 15636.30471875
transcript.pyannote[3200].end 15637.31721875
transcript.pyannote[3201].speaker SPEAKER_13
transcript.pyannote[3201].start 15637.95846875
transcript.pyannote[3201].end 15640.97909375
transcript.pyannote[3202].speaker SPEAKER_13
transcript.pyannote[3202].start 15641.16471875
transcript.pyannote[3202].end 15641.92409375
transcript.pyannote[3203].speaker SPEAKER_13
transcript.pyannote[3203].start 15642.75096875
transcript.pyannote[3203].end 15643.22346875
transcript.pyannote[3204].speaker SPEAKER_13
transcript.pyannote[3204].start 15643.71284375
transcript.pyannote[3204].end 15644.87721875
transcript.pyannote[3205].speaker SPEAKER_13
transcript.pyannote[3205].start 15645.67034375
transcript.pyannote[3205].end 15646.39596875
transcript.pyannote[3206].speaker SPEAKER_13
transcript.pyannote[3206].start 15646.98659375
transcript.pyannote[3206].end 15648.53909375
transcript.pyannote[3207].speaker SPEAKER_13
transcript.pyannote[3207].start 15649.18034375
transcript.pyannote[3207].end 15649.68659375
transcript.pyannote[3208].speaker SPEAKER_13
transcript.pyannote[3208].start 15650.19284375
transcript.pyannote[3208].end 15651.05346875
transcript.pyannote[3209].speaker SPEAKER_13
transcript.pyannote[3209].start 15651.86346875
transcript.pyannote[3209].end 15656.06534375
transcript.pyannote[3210].speaker SPEAKER_13
transcript.pyannote[3210].start 15656.28471875
transcript.pyannote[3210].end 15660.45284375
transcript.pyannote[3211].speaker SPEAKER_13
transcript.pyannote[3211].start 15660.79034375
transcript.pyannote[3211].end 15661.66784375
transcript.pyannote[3212].speaker SPEAKER_13
transcript.pyannote[3212].start 15662.10659375
transcript.pyannote[3212].end 15662.93346875
transcript.pyannote[3213].speaker SPEAKER_25
transcript.pyannote[3213].start 15665.19471875
transcript.pyannote[3213].end 15681.54659375
transcript.pyannote[3214].speaker SPEAKER_13
transcript.pyannote[3214].start 15665.39721875
transcript.pyannote[3214].end 15668.36721875
transcript.pyannote[3215].speaker SPEAKER_13
transcript.pyannote[3215].start 15681.59721875
transcript.pyannote[3215].end 15684.02721875
transcript.pyannote[3216].speaker SPEAKER_18
transcript.pyannote[3216].start 15683.43659375
transcript.pyannote[3216].end 15684.75284375
transcript.pyannote[3217].speaker SPEAKER_04
transcript.pyannote[3217].start 15684.02721875
transcript.pyannote[3217].end 15684.85409375
transcript.pyannote[3218].speaker SPEAKER_13
transcript.pyannote[3218].start 15684.75284375
transcript.pyannote[3218].end 15684.83721875
transcript.pyannote[3219].speaker SPEAKER_13
transcript.pyannote[3219].start 15684.85409375
transcript.pyannote[3219].end 15684.90471875
transcript.pyannote[3220].speaker SPEAKER_04
transcript.pyannote[3220].start 15686.03534375
transcript.pyannote[3220].end 15687.16596875
transcript.pyannote[3221].speaker SPEAKER_04
transcript.pyannote[3221].start 15687.75659375
transcript.pyannote[3221].end 15690.76034375
transcript.pyannote[3222].speaker SPEAKER_04
transcript.pyannote[3222].start 15690.96284375
transcript.pyannote[3222].end 15698.92784375
transcript.pyannote[3223].speaker SPEAKER_04
transcript.pyannote[3223].start 15699.21471875
transcript.pyannote[3223].end 15701.35784375
transcript.pyannote[3224].speaker SPEAKER_04
transcript.pyannote[3224].start 15701.40846875
transcript.pyannote[3224].end 15702.08346875
transcript.pyannote[3225].speaker SPEAKER_04
transcript.pyannote[3225].start 15702.52221875
transcript.pyannote[3225].end 15703.51784375
transcript.pyannote[3226].speaker SPEAKER_04
transcript.pyannote[3226].start 15704.29409375
transcript.pyannote[3226].end 15705.40784375
transcript.pyannote[3227].speaker SPEAKER_10
transcript.pyannote[3227].start 15721.94534375
transcript.pyannote[3227].end 15723.29534375
transcript.pyannote[3228].speaker SPEAKER_10
transcript.pyannote[3228].start 15723.41346875
transcript.pyannote[3228].end 15724.05471875
transcript.pyannote[3229].speaker SPEAKER_04
transcript.pyannote[3229].start 15724.30784375
transcript.pyannote[3229].end 15725.08409375
transcript.pyannote[3230].speaker SPEAKER_10
transcript.pyannote[3230].start 15729.45471875
transcript.pyannote[3230].end 15730.11284375
transcript.pyannote[3231].speaker SPEAKER_10
transcript.pyannote[3231].start 15730.28159375
transcript.pyannote[3231].end 15739.14096875
transcript.pyannote[3232].speaker SPEAKER_18
transcript.pyannote[3232].start 15738.76971875
transcript.pyannote[3232].end 15739.02284375
transcript.pyannote[3233].speaker SPEAKER_25
transcript.pyannote[3233].start 15739.02284375
transcript.pyannote[3233].end 15739.20846875
transcript.pyannote[3234].speaker SPEAKER_10
transcript.pyannote[3234].start 15739.20846875
transcript.pyannote[3234].end 15743.68034375
transcript.pyannote[3235].speaker SPEAKER_25
transcript.pyannote[3235].start 15744.05159375
transcript.pyannote[3235].end 15745.80659375
transcript.pyannote[3236].speaker SPEAKER_25
transcript.pyannote[3236].start 15746.12721875
transcript.pyannote[3236].end 15751.25721875
transcript.pyannote[3237].speaker SPEAKER_10
transcript.pyannote[3237].start 15748.38846875
transcript.pyannote[3237].end 15748.82721875
transcript.pyannote[3238].speaker SPEAKER_10
transcript.pyannote[3238].start 15751.40909375
transcript.pyannote[3238].end 15756.64034375
transcript.pyannote[3239].speaker SPEAKER_10
transcript.pyannote[3239].start 15757.01159375
transcript.pyannote[3239].end 15763.40721875
transcript.pyannote[3240].speaker SPEAKER_10
transcript.pyannote[3240].start 15763.93034375
transcript.pyannote[3240].end 15778.00409375
transcript.pyannote[3241].speaker SPEAKER_10
transcript.pyannote[3241].start 15778.47659375
transcript.pyannote[3241].end 15779.30346875
transcript.pyannote[3242].speaker SPEAKER_10
transcript.pyannote[3242].start 15779.35409375
transcript.pyannote[3242].end 15780.50159375
transcript.pyannote[3243].speaker SPEAKER_10
transcript.pyannote[3243].start 15781.26096875
transcript.pyannote[3243].end 15785.29409375
transcript.pyannote[3244].speaker SPEAKER_10
transcript.pyannote[3244].start 15785.41221875
transcript.pyannote[3244].end 15789.88409375
transcript.pyannote[3245].speaker SPEAKER_10
transcript.pyannote[3245].start 15790.35659375
transcript.pyannote[3245].end 15811.87221875
transcript.pyannote[3246].speaker SPEAKER_10
transcript.pyannote[3246].start 15812.32784375
transcript.pyannote[3246].end 15833.74221875
transcript.pyannote[3247].speaker SPEAKER_10
transcript.pyannote[3247].start 15833.97846875
transcript.pyannote[3247].end 15835.71659375
transcript.pyannote[3248].speaker SPEAKER_10
transcript.pyannote[3248].start 15836.07096875
transcript.pyannote[3248].end 15840.32346875
transcript.pyannote[3249].speaker SPEAKER_25
transcript.pyannote[3249].start 15841.06596875
transcript.pyannote[3249].end 15873.58409375
transcript.pyannote[3250].speaker SPEAKER_10
transcript.pyannote[3250].start 15847.12409375
transcript.pyannote[3250].end 15848.23784375
transcript.pyannote[3251].speaker SPEAKER_18
transcript.pyannote[3251].start 15848.23784375
transcript.pyannote[3251].end 15848.28846875
transcript.pyannote[3252].speaker SPEAKER_00
transcript.pyannote[3252].start 15848.28846875
transcript.pyannote[3252].end 15848.30534375
transcript.pyannote[3253].speaker SPEAKER_00
transcript.pyannote[3253].start 15864.89346875
transcript.pyannote[3253].end 15864.91034375
transcript.pyannote[3254].speaker SPEAKER_05
transcript.pyannote[3254].start 15864.91034375
transcript.pyannote[3254].end 15865.26471875
transcript.pyannote[3255].speaker SPEAKER_10
transcript.pyannote[3255].start 15871.44096875
transcript.pyannote[3255].end 15872.57159375
transcript.pyannote[3256].speaker SPEAKER_10
transcript.pyannote[3256].start 15873.21284375
transcript.pyannote[3256].end 15887.42159375
transcript.pyannote[3257].speaker SPEAKER_25
transcript.pyannote[3257].start 15876.77346875
transcript.pyannote[3257].end 15879.08534375
transcript.pyannote[3258].speaker SPEAKER_25
transcript.pyannote[3258].start 15880.87409375
transcript.pyannote[3258].end 15881.34659375
transcript.pyannote[3259].speaker SPEAKER_25
transcript.pyannote[3259].start 15882.52784375
transcript.pyannote[3259].end 15882.59534375
transcript.pyannote[3260].speaker SPEAKER_25
transcript.pyannote[3260].start 15882.61221875
transcript.pyannote[3260].end 15882.66284375
transcript.pyannote[3261].speaker SPEAKER_25
transcript.pyannote[3261].start 15887.32034375
transcript.pyannote[3261].end 15895.97721875
transcript.pyannote[3262].speaker SPEAKER_10
transcript.pyannote[3262].start 15887.64096875
transcript.pyannote[3262].end 15888.21471875
transcript.pyannote[3263].speaker SPEAKER_10
transcript.pyannote[3263].start 15889.56471875
transcript.pyannote[3263].end 15890.40846875
transcript.pyannote[3264].speaker SPEAKER_10
transcript.pyannote[3264].start 15892.97346875
transcript.pyannote[3264].end 15901.98471875
transcript.pyannote[3265].speaker SPEAKER_25
transcript.pyannote[3265].start 15899.14971875
transcript.pyannote[3265].end 15899.18346875
transcript.pyannote[3266].speaker SPEAKER_18
transcript.pyannote[3266].start 15899.18346875
transcript.pyannote[3266].end 15900.66846875
transcript.pyannote[3267].speaker SPEAKER_25
transcript.pyannote[3267].start 15900.66846875
transcript.pyannote[3267].end 15900.70221875
transcript.pyannote[3268].speaker SPEAKER_18
transcript.pyannote[3268].start 15900.70221875
transcript.pyannote[3268].end 15900.71909375
transcript.pyannote[3269].speaker SPEAKER_10
transcript.pyannote[3269].start 15902.22096875
transcript.pyannote[3269].end 15906.40596875
transcript.pyannote[3270].speaker SPEAKER_18
transcript.pyannote[3270].start 15902.49096875
transcript.pyannote[3270].end 15902.74409375
transcript.pyannote[3271].speaker SPEAKER_18
transcript.pyannote[3271].start 15903.03096875
transcript.pyannote[3271].end 15905.12346875
transcript.pyannote[3272].speaker SPEAKER_18
transcript.pyannote[3272].start 15906.32159375
transcript.pyannote[3272].end 15909.78096875
transcript.pyannote[3273].speaker SPEAKER_10
transcript.pyannote[3273].start 15906.54096875
transcript.pyannote[3273].end 15924.74909375
transcript.pyannote[3274].speaker SPEAKER_18
transcript.pyannote[3274].start 15914.70846875
transcript.pyannote[3274].end 15917.15534375
transcript.pyannote[3275].speaker SPEAKER_10
transcript.pyannote[3275].start 15925.39034375
transcript.pyannote[3275].end 15928.25909375
transcript.pyannote[3276].speaker SPEAKER_10
transcript.pyannote[3276].start 15928.71471875
transcript.pyannote[3276].end 15930.16596875
transcript.pyannote[3277].speaker SPEAKER_10
transcript.pyannote[3277].start 15930.40221875
transcript.pyannote[3277].end 15935.26221875
transcript.pyannote[3278].speaker SPEAKER_10
transcript.pyannote[3278].start 15935.44784375
transcript.pyannote[3278].end 15938.62034375
transcript.pyannote[3279].speaker SPEAKER_10
transcript.pyannote[3279].start 15938.90721875
transcript.pyannote[3279].end 15941.87721875
transcript.pyannote[3280].speaker SPEAKER_25
transcript.pyannote[3280].start 15942.31596875
transcript.pyannote[3280].end 15945.13409375
transcript.pyannote[3281].speaker SPEAKER_10
transcript.pyannote[3281].start 15943.63221875
transcript.pyannote[3281].end 15945.04971875
transcript.pyannote[3282].speaker SPEAKER_10
transcript.pyannote[3282].start 15945.69096875
transcript.pyannote[3282].end 15951.42846875
transcript.pyannote[3283].speaker SPEAKER_10
transcript.pyannote[3283].start 15951.51284375
transcript.pyannote[3283].end 15951.54659375
transcript.pyannote[3284].speaker SPEAKER_18
transcript.pyannote[3284].start 15951.54659375
transcript.pyannote[3284].end 15951.93471875
transcript.pyannote[3285].speaker SPEAKER_10
transcript.pyannote[3285].start 15951.81659375
transcript.pyannote[3285].end 15958.63409375
transcript.pyannote[3286].speaker SPEAKER_10
transcript.pyannote[3286].start 15959.08971875
transcript.pyannote[3286].end 15971.44221875
transcript.pyannote[3287].speaker SPEAKER_25
transcript.pyannote[3287].start 15971.52659375
transcript.pyannote[3287].end 15986.17409375
transcript.pyannote[3288].speaker SPEAKER_10
transcript.pyannote[3288].start 15984.28409375
transcript.pyannote[3288].end 15984.80721875
transcript.pyannote[3289].speaker SPEAKER_10
transcript.pyannote[3289].start 15985.75221875
transcript.pyannote[3289].end 15993.88596875
transcript.pyannote[3290].speaker SPEAKER_25
transcript.pyannote[3290].start 15986.83221875
transcript.pyannote[3290].end 15987.30471875
transcript.pyannote[3291].speaker SPEAKER_10
transcript.pyannote[3291].start 15994.25721875
transcript.pyannote[3291].end 16004.97284375
transcript.pyannote[3292].speaker SPEAKER_10
transcript.pyannote[3292].start 16005.29346875
transcript.pyannote[3292].end 16008.16221875
transcript.pyannote[3293].speaker SPEAKER_10
transcript.pyannote[3293].start 16008.61784375
transcript.pyannote[3293].end 16009.79909375
transcript.pyannote[3294].speaker SPEAKER_10
transcript.pyannote[3294].start 16010.15346875
transcript.pyannote[3294].end 16013.32596875
transcript.pyannote[3295].speaker SPEAKER_10
transcript.pyannote[3295].start 16013.68034375
transcript.pyannote[3295].end 16033.03596875
transcript.pyannote[3296].speaker SPEAKER_11
transcript.pyannote[3296].start 16021.74659375
transcript.pyannote[3296].end 16024.58159375
transcript.pyannote[3297].speaker SPEAKER_00
transcript.pyannote[3297].start 16024.58159375
transcript.pyannote[3297].end 16024.61534375
transcript.pyannote[3298].speaker SPEAKER_10
transcript.pyannote[3298].start 16033.50846875
transcript.pyannote[3298].end 16040.71409375
transcript.pyannote[3299].speaker SPEAKER_10
transcript.pyannote[3299].start 16040.96721875
transcript.pyannote[3299].end 16044.86534375
transcript.pyannote[3300].speaker SPEAKER_25
transcript.pyannote[3300].start 16043.80221875
transcript.pyannote[3300].end 16047.14346875
transcript.pyannote[3301].speaker SPEAKER_10
transcript.pyannote[3301].start 16045.64159375
transcript.pyannote[3301].end 16047.02534375
transcript.pyannote[3302].speaker SPEAKER_04
transcript.pyannote[3302].start 16047.02534375
transcript.pyannote[3302].end 16047.27846875
transcript.pyannote[3303].speaker SPEAKER_10
transcript.pyannote[3303].start 16047.14346875
transcript.pyannote[3303].end 16047.48096875
transcript.pyannote[3304].speaker SPEAKER_04
transcript.pyannote[3304].start 16047.48096875
transcript.pyannote[3304].end 16047.61596875
transcript.pyannote[3305].speaker SPEAKER_10
transcript.pyannote[3305].start 16047.61596875
transcript.pyannote[3305].end 16047.83534375
transcript.pyannote[3306].speaker SPEAKER_04
transcript.pyannote[3306].start 16047.83534375
transcript.pyannote[3306].end 16049.69159375
transcript.pyannote[3307].speaker SPEAKER_04
transcript.pyannote[3307].start 16049.91096875
transcript.pyannote[3307].end 16051.69971875
transcript.pyannote[3308].speaker SPEAKER_20
transcript.pyannote[3308].start 16063.79909375
transcript.pyannote[3308].end 16066.38096875
transcript.pyannote[3309].speaker SPEAKER_20
transcript.pyannote[3309].start 16066.98846875
transcript.pyannote[3309].end 16067.76471875
transcript.pyannote[3310].speaker SPEAKER_20
transcript.pyannote[3310].start 16073.48534375
transcript.pyannote[3310].end 16084.63971875
transcript.pyannote[3311].speaker SPEAKER_20
transcript.pyannote[3311].start 16084.65659375
transcript.pyannote[3311].end 16087.52534375
transcript.pyannote[3312].speaker SPEAKER_20
transcript.pyannote[3312].start 16087.94721875
transcript.pyannote[3312].end 16089.07784375
transcript.pyannote[3313].speaker SPEAKER_20
transcript.pyannote[3313].start 16089.71909375
transcript.pyannote[3313].end 16091.74409375
transcript.pyannote[3314].speaker SPEAKER_20
transcript.pyannote[3314].start 16093.19534375
transcript.pyannote[3314].end 16094.68034375
transcript.pyannote[3315].speaker SPEAKER_20
transcript.pyannote[3315].start 16095.57471875
transcript.pyannote[3315].end 16097.86971875
transcript.pyannote[3316].speaker SPEAKER_20
transcript.pyannote[3316].start 16098.64596875
transcript.pyannote[3316].end 16107.26909375
transcript.pyannote[3317].speaker SPEAKER_20
transcript.pyannote[3317].start 16108.16346875
transcript.pyannote[3317].end 16131.48471875
transcript.pyannote[3318].speaker SPEAKER_20
transcript.pyannote[3318].start 16132.07534375
transcript.pyannote[3318].end 16139.14596875
transcript.pyannote[3319].speaker SPEAKER_20
transcript.pyannote[3319].start 16139.23034375
transcript.pyannote[3319].end 16144.84971875
transcript.pyannote[3320].speaker SPEAKER_20
transcript.pyannote[3320].start 16145.38971875
transcript.pyannote[3320].end 16152.51096875
transcript.pyannote[3321].speaker SPEAKER_20
transcript.pyannote[3321].start 16153.05096875
transcript.pyannote[3321].end 16155.49784375
transcript.pyannote[3322].speaker SPEAKER_20
transcript.pyannote[3322].start 16155.95346875
transcript.pyannote[3322].end 16157.08409375
transcript.pyannote[3323].speaker SPEAKER_20
transcript.pyannote[3323].start 16157.53971875
transcript.pyannote[3323].end 16160.64471875
transcript.pyannote[3324].speaker SPEAKER_20
transcript.pyannote[3324].start 16160.98221875
transcript.pyannote[3324].end 16168.79534375
transcript.pyannote[3325].speaker SPEAKER_20
transcript.pyannote[3325].start 16170.09471875
transcript.pyannote[3325].end 16175.84909375
transcript.pyannote[3326].speaker SPEAKER_20
transcript.pyannote[3326].start 16176.82784375
transcript.pyannote[3326].end 16183.03784375
transcript.pyannote[3327].speaker SPEAKER_20
transcript.pyannote[3327].start 16183.56096875
transcript.pyannote[3327].end 16189.93971875
transcript.pyannote[3328].speaker SPEAKER_20
transcript.pyannote[3328].start 16190.51346875
transcript.pyannote[3328].end 16191.20534375
transcript.pyannote[3329].speaker SPEAKER_20
transcript.pyannote[3329].start 16192.11659375
transcript.pyannote[3329].end 16196.25096875
transcript.pyannote[3330].speaker SPEAKER_20
transcript.pyannote[3330].start 16196.82471875
transcript.pyannote[3330].end 16202.49471875
transcript.pyannote[3331].speaker SPEAKER_20
transcript.pyannote[3331].start 16203.62534375
transcript.pyannote[3331].end 16213.46346875
transcript.pyannote[3332].speaker SPEAKER_20
transcript.pyannote[3332].start 16213.78409375
transcript.pyannote[3332].end 16218.22221875
transcript.pyannote[3333].speaker SPEAKER_20
transcript.pyannote[3333].start 16218.74534375
transcript.pyannote[3333].end 16226.37284375
transcript.pyannote[3334].speaker SPEAKER_20
transcript.pyannote[3334].start 16226.96346875
transcript.pyannote[3334].end 16240.71659375
transcript.pyannote[3335].speaker SPEAKER_20
transcript.pyannote[3335].start 16242.16784375
transcript.pyannote[3335].end 16246.62284375
transcript.pyannote[3336].speaker SPEAKER_20
transcript.pyannote[3336].start 16247.04471875
transcript.pyannote[3336].end 16250.65596875
transcript.pyannote[3337].speaker SPEAKER_20
transcript.pyannote[3337].start 16251.49971875
transcript.pyannote[3337].end 16254.52034375
transcript.pyannote[3338].speaker SPEAKER_20
transcript.pyannote[3338].start 16255.41471875
transcript.pyannote[3338].end 16260.17346875
transcript.pyannote[3339].speaker SPEAKER_20
transcript.pyannote[3339].start 16260.52784375
transcript.pyannote[3339].end 16278.38159375
transcript.pyannote[3340].speaker SPEAKER_20
transcript.pyannote[3340].start 16278.85409375
transcript.pyannote[3340].end 16280.49096875
transcript.pyannote[3341].speaker SPEAKER_20
transcript.pyannote[3341].start 16281.08159375
transcript.pyannote[3341].end 16286.43096875
transcript.pyannote[3342].speaker SPEAKER_20
transcript.pyannote[3342].start 16286.88659375
transcript.pyannote[3342].end 16294.49721875
transcript.pyannote[3343].speaker SPEAKER_20
transcript.pyannote[3343].start 16295.35784375
transcript.pyannote[3343].end 16301.14596875
transcript.pyannote[3344].speaker SPEAKER_20
transcript.pyannote[3344].start 16301.77034375
transcript.pyannote[3344].end 16306.32659375
transcript.pyannote[3345].speaker SPEAKER_20
transcript.pyannote[3345].start 16306.79909375
transcript.pyannote[3345].end 16308.16596875
transcript.pyannote[3346].speaker SPEAKER_20
transcript.pyannote[3346].start 16308.80721875
transcript.pyannote[3346].end 16311.42284375
transcript.pyannote[3347].speaker SPEAKER_20
transcript.pyannote[3347].start 16311.92909375
transcript.pyannote[3347].end 16314.81471875
transcript.pyannote[3348].speaker SPEAKER_20
transcript.pyannote[3348].start 16314.84846875
transcript.pyannote[3348].end 16317.83534375
transcript.pyannote[3349].speaker SPEAKER_20
transcript.pyannote[3349].start 16318.78034375
transcript.pyannote[3349].end 16333.56284375
transcript.pyannote[3350].speaker SPEAKER_20
transcript.pyannote[3350].start 16334.50784375
transcript.pyannote[3350].end 16340.63346875
transcript.pyannote[3351].speaker SPEAKER_20
transcript.pyannote[3351].start 16342.79346875
transcript.pyannote[3351].end 16347.73784375
transcript.pyannote[3352].speaker SPEAKER_20
transcript.pyannote[3352].start 16348.36221875
transcript.pyannote[3352].end 16352.27721875
transcript.pyannote[3353].speaker SPEAKER_20
transcript.pyannote[3353].start 16352.80034375
transcript.pyannote[3353].end 16358.87534375
transcript.pyannote[3354].speaker SPEAKER_20
transcript.pyannote[3354].start 16359.43221875
transcript.pyannote[3354].end 16366.43534375
transcript.pyannote[3355].speaker SPEAKER_20
transcript.pyannote[3355].start 16366.70534375
transcript.pyannote[3355].end 16370.73846875
transcript.pyannote[3356].speaker SPEAKER_20
transcript.pyannote[3356].start 16371.46409375
transcript.pyannote[3356].end 16385.06534375
transcript.pyannote[3357].speaker SPEAKER_20
transcript.pyannote[3357].start 16385.21721875
transcript.pyannote[3357].end 16391.27534375
transcript.pyannote[3358].speaker SPEAKER_20
transcript.pyannote[3358].start 16391.96721875
transcript.pyannote[3358].end 16406.83409375
transcript.pyannote[3359].speaker SPEAKER_20
transcript.pyannote[3359].start 16407.13784375
transcript.pyannote[3359].end 16410.73221875
transcript.pyannote[3360].speaker SPEAKER_20
transcript.pyannote[3360].start 16410.86721875
transcript.pyannote[3360].end 16433.02409375
transcript.pyannote[3361].speaker SPEAKER_00
transcript.pyannote[3361].start 16417.00971875
transcript.pyannote[3361].end 16417.02659375
transcript.pyannote[3362].speaker SPEAKER_03
transcript.pyannote[3362].start 16417.02659375
transcript.pyannote[3362].end 16418.00534375
transcript.pyannote[3363].speaker SPEAKER_00
transcript.pyannote[3363].start 16418.00534375
transcript.pyannote[3363].end 16418.05596875
transcript.pyannote[3364].speaker SPEAKER_00
transcript.pyannote[3364].start 16418.41034375
transcript.pyannote[3364].end 16418.64659375
transcript.pyannote[3365].speaker SPEAKER_04
transcript.pyannote[3365].start 16418.64659375
transcript.pyannote[3365].end 16418.76471875
transcript.pyannote[3366].speaker SPEAKER_00
transcript.pyannote[3366].start 16418.76471875
transcript.pyannote[3366].end 16418.84909375
transcript.pyannote[3367].speaker SPEAKER_20
transcript.pyannote[3367].start 16433.24346875
transcript.pyannote[3367].end 16435.08284375
transcript.pyannote[3368].speaker SPEAKER_20
transcript.pyannote[3368].start 16435.33596875
transcript.pyannote[3368].end 16437.54659375
transcript.pyannote[3369].speaker SPEAKER_20
transcript.pyannote[3369].start 16438.50846875
transcript.pyannote[3369].end 16441.14096875
transcript.pyannote[3370].speaker SPEAKER_20
transcript.pyannote[3370].start 16441.98471875
transcript.pyannote[3370].end 16442.00159375
transcript.pyannote[3371].speaker SPEAKER_04
transcript.pyannote[3371].start 16442.00159375
transcript.pyannote[3371].end 16442.17034375
transcript.pyannote[3372].speaker SPEAKER_20
transcript.pyannote[3372].start 16442.17034375
transcript.pyannote[3372].end 16442.40659375
transcript.pyannote[3373].speaker SPEAKER_04
transcript.pyannote[3373].start 16442.40659375
transcript.pyannote[3373].end 16442.47409375
transcript.pyannote[3374].speaker SPEAKER_20
transcript.pyannote[3374].start 16442.47409375
transcript.pyannote[3374].end 16442.50784375
transcript.pyannote[3375].speaker SPEAKER_04
transcript.pyannote[3375].start 16442.50784375
transcript.pyannote[3375].end 16443.11534375
transcript.pyannote[3376].speaker SPEAKER_04
transcript.pyannote[3376].start 16444.09409375
transcript.pyannote[3376].end 16445.34284375
transcript.pyannote[3377].speaker SPEAKER_04
transcript.pyannote[3377].start 16445.66346875
transcript.pyannote[3377].end 16447.28346875
transcript.pyannote[3378].speaker SPEAKER_04
transcript.pyannote[3378].start 16447.73909375
transcript.pyannote[3378].end 16449.56159375
transcript.pyannote[3379].speaker SPEAKER_04
transcript.pyannote[3379].start 16450.43909375
transcript.pyannote[3379].end 16451.28284375
transcript.pyannote[3380].speaker SPEAKER_04
transcript.pyannote[3380].start 16452.14346875
transcript.pyannote[3380].end 16457.30721875
transcript.pyannote[3381].speaker SPEAKER_04
transcript.pyannote[3381].start 16458.33659375
transcript.pyannote[3381].end 16464.56346875
transcript.pyannote[3382].speaker SPEAKER_04
transcript.pyannote[3382].start 16465.62659375
transcript.pyannote[3382].end 16469.20409375
transcript.pyannote[3383].speaker SPEAKER_04
transcript.pyannote[3383].start 16469.50784375
transcript.pyannote[3383].end 16471.61721875
transcript.pyannote[3384].speaker SPEAKER_04
transcript.pyannote[3384].start 16471.93784375
transcript.pyannote[3384].end 16474.06409375
transcript.pyannote[3385].speaker SPEAKER_04
transcript.pyannote[3385].start 16474.23284375
transcript.pyannote[3385].end 16475.68409375
transcript.pyannote[3386].speaker SPEAKER_19
transcript.pyannote[3386].start 16478.18159375
transcript.pyannote[3386].end 16487.78346875
transcript.pyannote[3387].speaker SPEAKER_19
transcript.pyannote[3387].start 16487.85096875
transcript.pyannote[3387].end 16498.68471875
transcript.pyannote[3388].speaker SPEAKER_19
transcript.pyannote[3388].start 16499.19096875
transcript.pyannote[3388].end 16502.48159375
transcript.pyannote[3389].speaker SPEAKER_19
transcript.pyannote[3389].start 16503.05534375
transcript.pyannote[3389].end 16509.33284375
transcript.pyannote[3390].speaker SPEAKER_19
transcript.pyannote[3390].start 16509.48471875
transcript.pyannote[3390].end 16511.42534375
transcript.pyannote[3391].speaker SPEAKER_19
transcript.pyannote[3391].start 16511.67846875
transcript.pyannote[3391].end 16514.96909375
transcript.pyannote[3392].speaker SPEAKER_19
transcript.pyannote[3392].start 16515.35721875
transcript.pyannote[3392].end 16515.57659375
transcript.pyannote[3393].speaker SPEAKER_19
transcript.pyannote[3393].start 16516.20096875
transcript.pyannote[3393].end 16520.04846875
transcript.pyannote[3394].speaker SPEAKER_19
transcript.pyannote[3394].start 16520.45346875
transcript.pyannote[3394].end 16526.39346875
transcript.pyannote[3395].speaker SPEAKER_19
transcript.pyannote[3395].start 16526.81534375
transcript.pyannote[3395].end 16532.58659375
transcript.pyannote[3396].speaker SPEAKER_19
transcript.pyannote[3396].start 16533.10971875
transcript.pyannote[3396].end 16537.31159375
transcript.pyannote[3397].speaker SPEAKER_19
transcript.pyannote[3397].start 16537.80096875
transcript.pyannote[3397].end 16539.53909375
transcript.pyannote[3398].speaker SPEAKER_19
transcript.pyannote[3398].start 16540.12971875
transcript.pyannote[3398].end 16543.31909375
transcript.pyannote[3399].speaker SPEAKER_19
transcript.pyannote[3399].start 16543.69034375
transcript.pyannote[3399].end 16551.63846875
transcript.pyannote[3400].speaker SPEAKER_19
transcript.pyannote[3400].start 16551.95909375
transcript.pyannote[3400].end 16554.45659375
transcript.pyannote[3401].speaker SPEAKER_19
transcript.pyannote[3401].start 16554.74346875
transcript.pyannote[3401].end 16557.29159375
transcript.pyannote[3402].speaker SPEAKER_04
transcript.pyannote[3402].start 16708.66034375
transcript.pyannote[3402].end 16712.86221875
transcript.pyannote[3403].speaker SPEAKER_04
transcript.pyannote[3403].start 16713.18284375
transcript.pyannote[3403].end 16714.63409375
transcript.pyannote[3404].speaker SPEAKER_04
transcript.pyannote[3404].start 16715.30909375
transcript.pyannote[3404].end 16716.96284375
transcript.pyannote[3405].speaker SPEAKER_04
transcript.pyannote[3405].start 16717.68846875
transcript.pyannote[3405].end 16719.19034375
transcript.pyannote[3406].speaker SPEAKER_04
transcript.pyannote[3406].start 16719.42659375
transcript.pyannote[3406].end 16720.06784375
transcript.pyannote[3407].speaker SPEAKER_04
transcript.pyannote[3407].start 16720.79346875
transcript.pyannote[3407].end 16722.43034375
transcript.pyannote[3408].speaker SPEAKER_04
transcript.pyannote[3408].start 16723.13909375
transcript.pyannote[3408].end 16723.52721875
transcript.pyannote[3409].speaker SPEAKER_04
transcript.pyannote[3409].start 16724.79284375
transcript.pyannote[3409].end 16725.51846875
transcript.pyannote[3410].speaker SPEAKER_04
transcript.pyannote[3410].start 16725.73784375
transcript.pyannote[3410].end 16726.88534375
transcript.pyannote[3411].speaker SPEAKER_04
transcript.pyannote[3411].start 16727.22284375
transcript.pyannote[3411].end 16728.75846875
transcript.pyannote[3412].speaker SPEAKER_04
transcript.pyannote[3412].start 16729.88909375
transcript.pyannote[3412].end 16731.22221875
transcript.pyannote[3413].speaker SPEAKER_04
transcript.pyannote[3413].start 16755.03284375
transcript.pyannote[3413].end 16756.58534375
transcript.pyannote[3414].speaker SPEAKER_04
transcript.pyannote[3414].start 16757.19284375
transcript.pyannote[3414].end 16758.67784375
transcript.pyannote[3415].speaker SPEAKER_04
transcript.pyannote[3415].start 16758.76221875
transcript.pyannote[3415].end 16759.16721875
transcript.pyannote[3416].speaker SPEAKER_04
transcript.pyannote[3416].start 16759.69034375
transcript.pyannote[3416].end 16761.22596875
transcript.pyannote[3417].speaker SPEAKER_04
transcript.pyannote[3417].start 16761.39471875
transcript.pyannote[3417].end 16762.52534375
transcript.pyannote[3418].speaker SPEAKER_04
transcript.pyannote[3418].start 16782.72471875
transcript.pyannote[3418].end 16784.00721875
transcript.pyannote[3419].speaker SPEAKER_04
transcript.pyannote[3419].start 16784.19284375
transcript.pyannote[3419].end 16786.53846875
transcript.pyannote[3420].speaker SPEAKER_04
transcript.pyannote[3420].start 16799.16096875
transcript.pyannote[3420].end 16801.13534375
transcript.pyannote[3421].speaker SPEAKER_15
transcript.pyannote[3421].start 16805.97846875
transcript.pyannote[3421].end 16806.02909375
transcript.pyannote[3422].speaker SPEAKER_15
transcript.pyannote[3422].start 16806.97409375
transcript.pyannote[3422].end 16807.02471875
transcript.pyannote[3423].speaker SPEAKER_15
transcript.pyannote[3423].start 16807.42971875
transcript.pyannote[3423].end 16807.46346875
transcript.pyannote[3424].speaker SPEAKER_15
transcript.pyannote[3424].start 16807.96971875
transcript.pyannote[3424].end 16808.03721875
transcript.pyannote[3425].speaker SPEAKER_15
transcript.pyannote[3425].start 16808.96534375
transcript.pyannote[3425].end 16809.03284375
transcript.pyannote[3426].speaker SPEAKER_15
transcript.pyannote[3426].start 16809.25221875
transcript.pyannote[3426].end 16811.24346875
transcript.pyannote[3427].speaker SPEAKER_17
transcript.pyannote[3427].start 16829.97471875
transcript.pyannote[3427].end 16831.03784375
transcript.pyannote[3428].speaker SPEAKER_04
transcript.pyannote[3428].start 16835.49284375
transcript.pyannote[3428].end 16837.78784375
transcript.pyannote[3429].speaker SPEAKER_18
transcript.pyannote[3429].start 16842.69846875
transcript.pyannote[3429].end 16842.90096875
transcript.pyannote[3430].speaker SPEAKER_23
transcript.pyannote[3430].start 16842.90096875
transcript.pyannote[3430].end 16842.91784375
transcript.pyannote[3431].speaker SPEAKER_23
transcript.pyannote[3431].start 16842.96846875
transcript.pyannote[3431].end 16843.05284375
transcript.pyannote[3432].speaker SPEAKER_23
transcript.pyannote[3432].start 16843.06971875
transcript.pyannote[3432].end 16845.06096875
transcript.pyannote[3433].speaker SPEAKER_23
transcript.pyannote[3433].start 16845.21284375
transcript.pyannote[3433].end 16851.96284375
transcript.pyannote[3434].speaker SPEAKER_04
transcript.pyannote[3434].start 16849.51596875
transcript.pyannote[3434].end 16850.30909375
transcript.pyannote[3435].speaker SPEAKER_22
transcript.pyannote[3435].start 16850.30909375
transcript.pyannote[3435].end 16850.35971875
transcript.pyannote[3436].speaker SPEAKER_22
transcript.pyannote[3436].start 16851.96284375
transcript.pyannote[3436].end 16852.08096875
transcript.pyannote[3437].speaker SPEAKER_23
transcript.pyannote[3437].start 16852.08096875
transcript.pyannote[3437].end 16852.38471875
transcript.pyannote[3438].speaker SPEAKER_04
transcript.pyannote[3438].start 16856.70471875
transcript.pyannote[3438].end 16857.17721875
transcript.pyannote[3439].speaker SPEAKER_04
transcript.pyannote[3439].start 16857.73409375
transcript.pyannote[3439].end 16858.71284375
transcript.pyannote[3440].speaker SPEAKER_04
transcript.pyannote[3440].start 16859.37096875
transcript.pyannote[3440].end 16861.07534375
transcript.pyannote[3441].speaker SPEAKER_04
transcript.pyannote[3441].start 16861.44659375
transcript.pyannote[3441].end 16862.45909375
transcript.pyannote[3442].speaker SPEAKER_04
transcript.pyannote[3442].start 16862.99909375
transcript.pyannote[3442].end 16865.24346875
transcript.pyannote[3443].speaker SPEAKER_04
transcript.pyannote[3443].start 16865.86784375
transcript.pyannote[3443].end 16866.28971875
transcript.pyannote[3444].speaker SPEAKER_04
transcript.pyannote[3444].start 16866.93096875
transcript.pyannote[3444].end 16868.38221875
transcript.pyannote[3445].speaker SPEAKER_04
transcript.pyannote[3445].start 16868.39909375
transcript.pyannote[3445].end 16868.87159375
transcript.pyannote[3446].speaker SPEAKER_04
transcript.pyannote[3446].start 16869.31034375
transcript.pyannote[3446].end 16870.45784375
transcript.pyannote[3447].speaker SPEAKER_04
transcript.pyannote[3447].start 16871.13284375
transcript.pyannote[3447].end 16872.78659375
transcript.pyannote[3448].speaker SPEAKER_07
transcript.pyannote[3448].start 16872.78659375
transcript.pyannote[3448].end 16872.80346875
transcript.pyannote[3449].speaker SPEAKER_04
transcript.pyannote[3449].start 16872.80346875
transcript.pyannote[3449].end 16872.85409375
transcript.pyannote[3450].speaker SPEAKER_07
transcript.pyannote[3450].start 16872.85409375
transcript.pyannote[3450].end 16873.20846875
transcript.pyannote[3451].speaker SPEAKER_07
transcript.pyannote[3451].start 16875.01409375
transcript.pyannote[3451].end 16882.91159375
transcript.pyannote[3452].speaker SPEAKER_07
transcript.pyannote[3452].start 16883.31659375
transcript.pyannote[3452].end 16900.29284375
transcript.pyannote[3453].speaker SPEAKER_07
transcript.pyannote[3453].start 16900.57971875
transcript.pyannote[3453].end 16902.16596875
transcript.pyannote[3454].speaker SPEAKER_07
transcript.pyannote[3454].start 16902.57096875
transcript.pyannote[3454].end 16904.52846875
transcript.pyannote[3455].speaker SPEAKER_07
transcript.pyannote[3455].start 16904.91659375
transcript.pyannote[3455].end 16908.02159375
transcript.pyannote[3456].speaker SPEAKER_17
transcript.pyannote[3456].start 16910.90721875
transcript.pyannote[3456].end 16911.63284375
transcript.pyannote[3457].speaker SPEAKER_17
transcript.pyannote[3457].start 16912.64534375
transcript.pyannote[3457].end 16916.47596875
transcript.pyannote[3458].speaker SPEAKER_17
transcript.pyannote[3458].start 16916.96534375
transcript.pyannote[3458].end 16923.42846875
transcript.pyannote[3459].speaker SPEAKER_17
transcript.pyannote[3459].start 16924.10346875
transcript.pyannote[3459].end 16926.66846875
transcript.pyannote[3460].speaker SPEAKER_17
transcript.pyannote[3460].start 16926.90471875
transcript.pyannote[3460].end 16929.45284375
transcript.pyannote[3461].speaker SPEAKER_17
transcript.pyannote[3461].start 16929.75659375
transcript.pyannote[3461].end 16930.27971875
transcript.pyannote[3462].speaker SPEAKER_17
transcript.pyannote[3462].start 16930.90409375
transcript.pyannote[3462].end 16932.67596875
transcript.pyannote[3463].speaker SPEAKER_17
transcript.pyannote[3463].start 16932.91221875
transcript.pyannote[3463].end 16933.97534375
transcript.pyannote[3464].speaker SPEAKER_10
transcript.pyannote[3464].start 16933.97534375
transcript.pyannote[3464].end 16936.84409375
transcript.pyannote[3465].speaker SPEAKER_10
transcript.pyannote[3465].start 16937.24909375
transcript.pyannote[3465].end 16938.76784375
transcript.pyannote[3466].speaker SPEAKER_10
transcript.pyannote[3466].start 16938.97034375
transcript.pyannote[3466].end 16940.16846875
transcript.pyannote[3467].speaker SPEAKER_10
transcript.pyannote[3467].start 16941.21471875
transcript.pyannote[3467].end 16941.83909375
transcript.pyannote[3468].speaker SPEAKER_10
transcript.pyannote[3468].start 16942.34534375
transcript.pyannote[3468].end 16945.26471875
transcript.pyannote[3469].speaker SPEAKER_10
transcript.pyannote[3469].start 16945.70346875
transcript.pyannote[3469].end 16976.85471875
transcript.pyannote[3470].speaker SPEAKER_17
transcript.pyannote[3470].start 16976.85471875
transcript.pyannote[3470].end 16976.87159375
transcript.pyannote[3471].speaker SPEAKER_10
transcript.pyannote[3471].start 16977.37784375
transcript.pyannote[3471].end 16980.71909375
transcript.pyannote[3472].speaker SPEAKER_10
transcript.pyannote[3472].start 16980.85409375
transcript.pyannote[3472].end 16984.56659375
transcript.pyannote[3473].speaker SPEAKER_10
transcript.pyannote[3473].start 16984.92096875
transcript.pyannote[3473].end 16987.03034375
transcript.pyannote[3474].speaker SPEAKER_17
transcript.pyannote[3474].start 16987.03034375
transcript.pyannote[3474].end 16990.86096875
transcript.pyannote[3475].speaker SPEAKER_04
transcript.pyannote[3475].start 16991.38409375
transcript.pyannote[3475].end 16997.37471875
transcript.pyannote[3476].speaker SPEAKER_17
transcript.pyannote[3476].start 16991.41784375
transcript.pyannote[3476].end 16992.80159375
transcript.pyannote[3477].speaker SPEAKER_25
transcript.pyannote[3477].start 17001.84659375
transcript.pyannote[3477].end 17013.81096875
transcript.pyannote[3478].speaker SPEAKER_25
transcript.pyannote[3478].start 17014.28346875
transcript.pyannote[3478].end 17021.20221875
transcript.pyannote[3479].speaker SPEAKER_25
transcript.pyannote[3479].start 17021.70846875
transcript.pyannote[3479].end 17037.68909375
transcript.pyannote[3480].speaker SPEAKER_04
transcript.pyannote[3480].start 17037.31784375
transcript.pyannote[3480].end 17040.74346875
transcript.pyannote[3481].speaker SPEAKER_04
transcript.pyannote[3481].start 17040.87846875
transcript.pyannote[3481].end 17041.53659375
transcript.pyannote[3482].speaker SPEAKER_04
transcript.pyannote[3482].start 17041.95846875
transcript.pyannote[3482].end 17042.59971875
transcript.pyannote[3483].speaker SPEAKER_05
transcript.pyannote[3483].start 17046.86909375
transcript.pyannote[3483].end 17049.38346875
transcript.pyannote[3484].speaker SPEAKER_05
transcript.pyannote[3484].start 17049.70409375
transcript.pyannote[3484].end 17061.95534375
transcript.pyannote[3485].speaker SPEAKER_05
transcript.pyannote[3485].start 17062.68096875
transcript.pyannote[3485].end 17069.93721875
transcript.pyannote[3486].speaker SPEAKER_05
transcript.pyannote[3486].start 17070.00471875
transcript.pyannote[3486].end 17071.79346875
transcript.pyannote[3487].speaker SPEAKER_05
transcript.pyannote[3487].start 17072.11409375
transcript.pyannote[3487].end 17076.80534375
transcript.pyannote[3488].speaker SPEAKER_05
transcript.pyannote[3488].start 17077.12596875
transcript.pyannote[3488].end 17079.82596875
transcript.pyannote[3489].speaker SPEAKER_05
transcript.pyannote[3489].start 17080.48409375
transcript.pyannote[3489].end 17081.20971875
transcript.pyannote[3490].speaker SPEAKER_05
transcript.pyannote[3490].start 17081.51346875
transcript.pyannote[3490].end 17082.10409375
transcript.pyannote[3491].speaker SPEAKER_05
transcript.pyannote[3491].start 17082.49221875
transcript.pyannote[3491].end 17085.81659375
transcript.pyannote[3492].speaker SPEAKER_05
transcript.pyannote[3492].start 17085.96846875
transcript.pyannote[3492].end 17094.62534375
transcript.pyannote[3493].speaker SPEAKER_05
transcript.pyannote[3493].start 17094.92909375
transcript.pyannote[3493].end 17113.28909375
transcript.pyannote[3494].speaker SPEAKER_05
transcript.pyannote[3494].start 17113.62659375
transcript.pyannote[3494].end 17119.81971875
transcript.pyannote[3495].speaker SPEAKER_05
transcript.pyannote[3495].start 17120.19096875
transcript.pyannote[3495].end 17129.38784375
transcript.pyannote[3496].speaker SPEAKER_04
transcript.pyannote[3496].start 17129.20221875
transcript.pyannote[3496].end 17133.60659375
transcript.pyannote[3497].speaker SPEAKER_05
transcript.pyannote[3497].start 17129.45534375
transcript.pyannote[3497].end 17131.05846875
transcript.pyannote[3498].speaker SPEAKER_04
transcript.pyannote[3498].start 17133.99471875
transcript.pyannote[3498].end 17135.61471875
transcript.pyannote[3499].speaker SPEAKER_04
transcript.pyannote[3499].start 17136.17159375
transcript.pyannote[3499].end 17137.40346875
transcript.pyannote[3500].speaker SPEAKER_04
transcript.pyannote[3500].start 17138.12909375
transcript.pyannote[3500].end 17138.63534375
transcript.pyannote[3501].speaker SPEAKER_04
transcript.pyannote[3501].start 17139.46221875
transcript.pyannote[3501].end 17141.31846875
transcript.pyannote[3502].speaker SPEAKER_04
transcript.pyannote[3502].start 17141.65596875
transcript.pyannote[3502].end 17142.22971875
transcript.pyannote[3503].speaker SPEAKER_04
transcript.pyannote[3503].start 17143.00596875
transcript.pyannote[3503].end 17144.22096875
transcript.pyannote[3504].speaker SPEAKER_04
transcript.pyannote[3504].start 17144.81159375
transcript.pyannote[3504].end 17146.38096875
transcript.pyannote[3505].speaker SPEAKER_04
transcript.pyannote[3505].start 17146.53284375
transcript.pyannote[3505].end 17148.47346875
transcript.pyannote[3506].speaker SPEAKER_04
transcript.pyannote[3506].start 17148.97971875
transcript.pyannote[3506].end 17150.44784375
transcript.pyannote[3507].speaker SPEAKER_04
transcript.pyannote[3507].start 17150.70096875
transcript.pyannote[3507].end 17151.78096875
transcript.pyannote[3508].speaker SPEAKER_04
transcript.pyannote[3508].start 17152.55721875
transcript.pyannote[3508].end 17152.99596875
transcript.pyannote[3509].speaker SPEAKER_04
transcript.pyannote[3509].start 17153.67096875
transcript.pyannote[3509].end 17154.88596875
transcript.pyannote[3510].speaker SPEAKER_04
transcript.pyannote[3510].start 17155.27409375
transcript.pyannote[3510].end 17155.94909375
transcript.pyannote[3511].speaker SPEAKER_07
transcript.pyannote[3511].start 17156.20221875
transcript.pyannote[3511].end 17156.57346875
transcript.pyannote[3512].speaker SPEAKER_07
transcript.pyannote[3512].start 17157.34971875
transcript.pyannote[3512].end 17162.22659375
transcript.pyannote[3513].speaker SPEAKER_04
transcript.pyannote[3513].start 17160.89346875
transcript.pyannote[3513].end 17162.24346875
transcript.pyannote[3514].speaker SPEAKER_07
transcript.pyannote[3514].start 17162.24346875
transcript.pyannote[3514].end 17162.26034375
transcript.pyannote[3515].speaker SPEAKER_04
transcript.pyannote[3515].start 17162.26034375
transcript.pyannote[3515].end 17164.35284375
transcript.pyannote[3516].speaker SPEAKER_04
transcript.pyannote[3516].start 17164.72409375
transcript.pyannote[3516].end 17166.96846875
transcript.pyannote[3517].speaker SPEAKER_04
transcript.pyannote[3517].start 17170.27596875
transcript.pyannote[3517].end 17170.76534375
transcript.pyannote[3518].speaker SPEAKER_04
transcript.pyannote[3518].start 17171.40659375
transcript.pyannote[3518].end 17173.12784375
transcript.pyannote[3519].speaker SPEAKER_04
transcript.pyannote[3519].start 17173.65096875
transcript.pyannote[3519].end 17175.10221875
transcript.pyannote[3520].speaker SPEAKER_04
transcript.pyannote[3520].start 17176.89096875
transcript.pyannote[3520].end 17177.29596875
transcript.pyannote[3521].speaker SPEAKER_04
transcript.pyannote[3521].start 17177.48159375
transcript.pyannote[3521].end 17178.86534375
transcript.pyannote[3522].speaker SPEAKER_04
transcript.pyannote[3522].start 17181.12659375
transcript.pyannote[3522].end 17182.39221875
transcript.pyannote[3523].speaker SPEAKER_04
transcript.pyannote[3523].start 17182.83096875
transcript.pyannote[3523].end 17183.97846875
transcript.pyannote[3524].speaker SPEAKER_04
transcript.pyannote[3524].start 17184.36659375
transcript.pyannote[3524].end 17185.69971875
transcript.pyannote[3525].speaker SPEAKER_04
transcript.pyannote[3525].start 17186.23971875
transcript.pyannote[3525].end 17186.79659375
transcript.pyannote[3526].speaker SPEAKER_04
transcript.pyannote[3526].start 17187.48846875
transcript.pyannote[3526].end 17188.90596875
transcript.pyannote[3527].speaker SPEAKER_04
transcript.pyannote[3527].start 17189.12534375
transcript.pyannote[3527].end 17190.27284375
transcript.pyannote[3528].speaker SPEAKER_04
transcript.pyannote[3528].start 17191.01534375
transcript.pyannote[3528].end 17191.28534375
transcript.pyannote[3529].speaker SPEAKER_04
transcript.pyannote[3529].start 17191.67346875
transcript.pyannote[3529].end 17192.65221875
transcript.pyannote[3530].speaker SPEAKER_04
transcript.pyannote[3530].start 17192.80409375
transcript.pyannote[3530].end 17195.23409375
transcript.pyannote[3531].speaker SPEAKER_04
transcript.pyannote[3531].start 17195.74034375
transcript.pyannote[3531].end 17197.03971875
transcript.pyannote[3532].speaker SPEAKER_04
transcript.pyannote[3532].start 17197.22534375
transcript.pyannote[3532].end 17198.08596875
transcript.pyannote[3533].speaker SPEAKER_04
transcript.pyannote[3533].start 17198.22096875
transcript.pyannote[3533].end 17199.11534375
transcript.pyannote[3534].speaker SPEAKER_07
transcript.pyannote[3534].start 17199.11534375
transcript.pyannote[3534].end 17199.13221875
transcript.pyannote[3535].speaker SPEAKER_04
transcript.pyannote[3535].start 17199.62159375
transcript.pyannote[3535].end 17200.87034375
transcript.pyannote[3536].speaker SPEAKER_07
transcript.pyannote[3536].start 17200.87034375
transcript.pyannote[3536].end 17201.03909375
transcript.pyannote[3537].speaker SPEAKER_07
transcript.pyannote[3537].start 17201.24159375
transcript.pyannote[3537].end 17209.29096875
transcript.pyannote[3538].speaker SPEAKER_04
transcript.pyannote[3538].start 17206.37159375
transcript.pyannote[3538].end 17207.04659375
transcript.pyannote[3539].speaker SPEAKER_04
transcript.pyannote[3539].start 17207.46846875
transcript.pyannote[3539].end 17213.44221875
transcript.pyannote[3540].speaker SPEAKER_04
transcript.pyannote[3540].start 17214.43784375
transcript.pyannote[3540].end 17220.22596875
transcript.pyannote[3541].speaker SPEAKER_04
transcript.pyannote[3541].start 17220.54659375
transcript.pyannote[3541].end 17221.08659375
transcript.pyannote[3542].speaker SPEAKER_04
transcript.pyannote[3542].start 17221.30596875
transcript.pyannote[3542].end 17228.71409375
transcript.pyannote[3543].speaker SPEAKER_04
transcript.pyannote[3543].start 17228.91659375
transcript.pyannote[3543].end 17234.73846875
transcript.pyannote[3544].speaker SPEAKER_04
transcript.pyannote[3544].start 17235.07596875
transcript.pyannote[3544].end 17239.83471875
transcript.pyannote[3545].speaker SPEAKER_04
transcript.pyannote[3545].start 17240.07096875
transcript.pyannote[3545].end 17241.75846875
transcript.pyannote[3546].speaker SPEAKER_04
transcript.pyannote[3546].start 17246.11221875
transcript.pyannote[3546].end 17247.96846875
transcript.pyannote[3547].speaker SPEAKER_04
transcript.pyannote[3547].start 17249.87534375
transcript.pyannote[3547].end 17251.34346875
transcript.pyannote[3548].speaker SPEAKER_04
transcript.pyannote[3548].start 17252.74409375
transcript.pyannote[3548].end 17253.58784375
transcript.pyannote[3549].speaker SPEAKER_04
transcript.pyannote[3549].start 17255.07284375
transcript.pyannote[3549].end 17257.28346875
transcript.pyannote[3550].speaker SPEAKER_04
transcript.pyannote[3550].start 17257.46909375
transcript.pyannote[3550].end 17258.88659375
transcript.pyannote[3551].speaker SPEAKER_04
transcript.pyannote[3551].start 17258.98784375
transcript.pyannote[3551].end 17259.03846875
transcript.pyannote[3552].speaker SPEAKER_04
transcript.pyannote[3552].start 17259.07221875
transcript.pyannote[3552].end 17259.10596875
transcript.pyannote[3553].speaker SPEAKER_18
transcript.pyannote[3553].start 17259.10596875
transcript.pyannote[3553].end 17259.15659375
transcript.pyannote[3554].speaker SPEAKER_09
transcript.pyannote[3554].start 17259.15659375
transcript.pyannote[3554].end 17259.54471875
transcript.pyannote[3555].speaker SPEAKER_18
transcript.pyannote[3555].start 17265.63659375
transcript.pyannote[3555].end 17267.94846875
transcript.pyannote[3556].speaker SPEAKER_04
transcript.pyannote[3556].start 17267.94846875
transcript.pyannote[3556].end 17267.96534375
transcript.pyannote[3557].speaker SPEAKER_04
transcript.pyannote[3557].start 17268.23534375
transcript.pyannote[3557].end 17269.50096875
transcript.pyannote[3558].speaker SPEAKER_18
transcript.pyannote[3558].start 17268.62346875
transcript.pyannote[3558].end 17268.69096875
transcript.pyannote[3559].speaker SPEAKER_04
transcript.pyannote[3559].start 17269.61909375
transcript.pyannote[3559].end 17273.16284375
transcript.pyannote[3560].speaker SPEAKER_18
transcript.pyannote[3560].start 17270.46284375
transcript.pyannote[3560].end 17270.54721875
transcript.pyannote[3561].speaker SPEAKER_21
transcript.pyannote[3561].start 17271.71159375
transcript.pyannote[3561].end 17271.77909375
transcript.pyannote[3562].speaker SPEAKER_21
transcript.pyannote[3562].start 17274.19221875
transcript.pyannote[3562].end 17286.76409375
transcript.pyannote[3563].speaker SPEAKER_21
transcript.pyannote[3563].start 17287.97909375
transcript.pyannote[3563].end 17287.99596875
transcript.pyannote[3564].speaker SPEAKER_04
transcript.pyannote[3564].start 17287.99596875
transcript.pyannote[3564].end 17289.58221875
transcript.pyannote[3565].speaker SPEAKER_04
transcript.pyannote[3565].start 17289.98721875
transcript.pyannote[3565].end 17293.49721875
transcript.pyannote[3566].speaker SPEAKER_04
transcript.pyannote[3566].start 17294.61096875
transcript.pyannote[3566].end 17299.82534375
transcript.pyannote[3567].speaker SPEAKER_04
transcript.pyannote[3567].start 17300.38221875
transcript.pyannote[3567].end 17302.03596875
transcript.pyannote[3568].speaker SPEAKER_04
transcript.pyannote[3568].start 17302.57596875
transcript.pyannote[3568].end 17305.61346875
transcript.pyannote[3569].speaker SPEAKER_04
transcript.pyannote[3569].start 17305.79909375
transcript.pyannote[3569].end 17306.89596875
transcript.pyannote[3570].speaker SPEAKER_04
transcript.pyannote[3570].start 17307.41909375
transcript.pyannote[3570].end 17310.89534375
transcript.pyannote[3571].speaker SPEAKER_04
transcript.pyannote[3571].start 17311.65471875
transcript.pyannote[3571].end 17313.64596875
transcript.pyannote[3572].speaker SPEAKER_04
transcript.pyannote[3572].start 17314.42221875
transcript.pyannote[3572].end 17315.83971875
transcript.pyannote[3573].speaker SPEAKER_04
transcript.pyannote[3573].start 17316.68346875
transcript.pyannote[3573].end 17317.34159375
transcript.pyannote[3574].speaker SPEAKER_04
transcript.pyannote[3574].start 17317.81409375
transcript.pyannote[3574].end 17320.46346875
transcript.pyannote[3575].speaker SPEAKER_04
transcript.pyannote[3575].start 17320.58159375
transcript.pyannote[3575].end 17321.45909375
transcript.pyannote[3576].speaker SPEAKER_04
transcript.pyannote[3576].start 17321.93159375
transcript.pyannote[3576].end 17330.18346875
transcript.pyannote[3577].speaker SPEAKER_04
transcript.pyannote[3577].start 17330.58846875
transcript.pyannote[3577].end 17331.29721875
transcript.pyannote[3578].speaker SPEAKER_04
transcript.pyannote[3578].start 17331.95534375
transcript.pyannote[3578].end 17333.06909375
transcript.pyannote[3579].speaker SPEAKER_04
transcript.pyannote[3579].start 17333.67659375
transcript.pyannote[3579].end 17334.58784375
transcript.pyannote[3580].speaker SPEAKER_04
transcript.pyannote[3580].start 17334.79034375
transcript.pyannote[3580].end 17336.30909375
transcript.pyannote[3581].speaker SPEAKER_04
transcript.pyannote[3581].start 17336.74784375
transcript.pyannote[3581].end 17338.16534375
transcript.pyannote[3582].speaker SPEAKER_04
transcript.pyannote[3582].start 17338.67159375
transcript.pyannote[3582].end 17339.68409375
transcript.pyannote[3583].speaker SPEAKER_04
transcript.pyannote[3583].start 17340.34221875
transcript.pyannote[3583].end 17342.40096875
transcript.pyannote[3584].speaker SPEAKER_04
transcript.pyannote[3584].start 17342.75534375
transcript.pyannote[3584].end 17344.67909375
transcript.pyannote[3585].speaker SPEAKER_04
transcript.pyannote[3585].start 17345.11784375
transcript.pyannote[3585].end 17346.99096875
transcript.pyannote[3586].speaker SPEAKER_04
transcript.pyannote[3586].start 17347.17659375
transcript.pyannote[3586].end 17348.42534375
transcript.pyannote[3587].speaker SPEAKER_04
transcript.pyannote[3587].start 17348.69534375
transcript.pyannote[3587].end 17349.28596875
transcript.pyannote[3588].speaker SPEAKER_04
transcript.pyannote[3588].start 17350.12971875
transcript.pyannote[3588].end 17350.92284375
transcript.pyannote[3589].speaker SPEAKER_04
transcript.pyannote[3589].start 17351.05784375
transcript.pyannote[3589].end 17352.34034375
transcript.pyannote[3590].speaker SPEAKER_04
transcript.pyannote[3590].start 17352.88034375
transcript.pyannote[3590].end 17353.38659375
transcript.pyannote[3591].speaker SPEAKER_04
transcript.pyannote[3591].start 17354.65221875
transcript.pyannote[3591].end 17355.64784375
transcript.pyannote[3592].speaker SPEAKER_04
transcript.pyannote[3592].start 17356.12034375
transcript.pyannote[3592].end 17356.57596875
transcript.pyannote[3593].speaker SPEAKER_04
transcript.pyannote[3593].start 17356.98096875
transcript.pyannote[3593].end 17359.84971875
transcript.pyannote[3594].speaker SPEAKER_04
transcript.pyannote[3594].start 17361.21659375
transcript.pyannote[3594].end 17362.16159375
transcript.pyannote[3595].speaker SPEAKER_04
transcript.pyannote[3595].start 17362.31346875
transcript.pyannote[3595].end 17363.51159375
transcript.pyannote[3596].speaker SPEAKER_04
transcript.pyannote[3596].start 17363.95034375
transcript.pyannote[3596].end 17365.94159375
transcript.pyannote[3597].speaker SPEAKER_04
transcript.pyannote[3597].start 17366.19471875
transcript.pyannote[3597].end 17368.74284375
transcript.pyannote[3598].speaker SPEAKER_04
transcript.pyannote[3598].start 17369.13096875
transcript.pyannote[3598].end 17369.73846875
transcript.pyannote[3599].speaker SPEAKER_04
transcript.pyannote[3599].start 17370.22784375
transcript.pyannote[3599].end 17371.79721875
transcript.pyannote[3600].speaker SPEAKER_04
transcript.pyannote[3600].start 17372.05034375
transcript.pyannote[3600].end 17372.50596875
transcript.pyannote[3601].speaker SPEAKER_04
transcript.pyannote[3601].start 17372.67471875
transcript.pyannote[3601].end 17374.41284375
transcript.pyannote[3602].speaker SPEAKER_04
transcript.pyannote[3602].start 17374.76721875
transcript.pyannote[3602].end 17375.08784375
transcript.pyannote[3603].speaker SPEAKER_04
transcript.pyannote[3603].start 17375.23971875
transcript.pyannote[3603].end 17376.94409375
transcript.pyannote[3604].speaker SPEAKER_04
transcript.pyannote[3604].start 17377.31534375
transcript.pyannote[3604].end 17378.58096875
transcript.pyannote[3605].speaker SPEAKER_04
transcript.pyannote[3605].start 17378.93534375
transcript.pyannote[3605].end 17380.38659375
transcript.pyannote[3606].speaker SPEAKER_04
transcript.pyannote[3606].start 17380.48784375
transcript.pyannote[3606].end 17380.82534375
transcript.pyannote[3607].speaker SPEAKER_04
transcript.pyannote[3607].start 17381.26409375
transcript.pyannote[3607].end 17381.78721875
transcript.pyannote[3608].speaker SPEAKER_04
transcript.pyannote[3608].start 17383.17096875
transcript.pyannote[3608].end 17384.13284375
transcript.pyannote[3609].speaker SPEAKER_04
transcript.pyannote[3609].start 17384.35221875
transcript.pyannote[3609].end 17385.49971875
transcript.pyannote[3610].speaker SPEAKER_04
transcript.pyannote[3610].start 17387.76096875
transcript.pyannote[3610].end 17390.78159375
transcript.pyannote[3611].speaker SPEAKER_04
transcript.pyannote[3611].start 17390.93346875
transcript.pyannote[3611].end 17392.84034375
transcript.pyannote[3612].speaker SPEAKER_04
transcript.pyannote[3612].start 17392.99221875
transcript.pyannote[3612].end 17395.33784375
transcript.pyannote[3613].speaker SPEAKER_04
transcript.pyannote[3613].start 17396.29971875
transcript.pyannote[3613].end 17397.64971875
transcript.whisperx[0].start 1902.102
transcript.whisperx[0].end 1912.809
transcript.whisperx[0].text 請主任秘書報告委員會出席人數報告委員會出席委員與法定人數現在開始開會請議事人員宣讀上一次的會議的議事錄
transcript.whisperx[1].start 1916.215
transcript.whisperx[1].end 1939.44
transcript.whisperx[1].text 立法院第11屆第三會期財政委員會第三次全體委員會議事錄時間中華民國114年3月20日星期四9時至13時40分地點群雄樓酒樓大禮堂初席委員林德福委員等14人列席委員張啟凱委員等15人列席官員財政部部長莊卓人暨所屬相關人員等經濟部農業部及法務部各單位代表主席賴昭吉委員
transcript.whisperx[2].start 1940.84
transcript.whisperx[2].end 1955.699
transcript.whisperx[2].text 報告四項一 宣讀上市會議事錄確定二 邀請財政部部長莊翠雲率所屬機關首長及國營事業董事長總經理和各轉投資事業機構公股代表之董謙士列席業務報告並被質詢報告幾 討論四項合併巡邏經財政部莊翠雲
transcript.whisperx[3].start 1959.744
transcript.whisperx[3].end 1983.351
transcript.whisperx[3].text 部長就業務及行政院提案報告後,即由委員林德福等22人提出質詢。軍軍財政部部長莊卓雲、兆豐金控公司董事長董瑞斌、合作金庫金控公司董事長林衍茂、台北金融大樓公司董事長賈永傑、地域金融控股公司董事長邱月琴、臺灣鷹酒公司董事長湯琪安及相關人員予以說明及答覆。決定。
transcript.whisperx[4].start 1984.653
transcript.whisperx[4].end 1997.374
transcript.whisperx[4].text 一報告說明及許答完畢二委員諮詢就為其答覆後請補充諮詢請向他擔任一周內已書面答覆委員要求期限者從期鎖定討論事項一審查行政院函體審議海關淨核稅者
transcript.whisperx[5].start 2002.978
transcript.whisperx[5].end 2028.926
transcript.whisperx[5].text 修正草案案 決議一 第二章 四章 第十一章 第十六章 第十九章 第二十二章 第三九章 第六十一至六十三章 第八十三章 八十五章 內容均照行政院提案通過二 審查文件 以具審查報告 提報院會討論 院會討論前不需交由黨團修正 院會討論時由賴昭季委員補充說明會總整理 提出中華民國一百一四民眾政府總預算案附屬單位預算營業及費營業部分審查總報告草案 提報院會案
transcript.whisperx[6].start 2030.566
transcript.whisperx[6].end 2050.885
transcript.whisperx[6].text 決議一 中華民國一百四四年度中央政府總預算附屬單位預算一頁及非一頁部分審查總報告照採案通過提報院會討論區黨團協商二 有關外交及國防社會福利及衛生環境兩委員會市期審訊並將審查報告送達本會後請議事人會總整理 敬禮提報院會並案討論通過臨時提案 四案三會宣讀完畢
transcript.whisperx[7].start 2056.84
transcript.whisperx[7].end 2064.861
transcript.whisperx[7].text 請問各位委員對於上一次的議事錄有無異議沒有我們就議事錄確定那麼請議事人員宣佈今日議程
transcript.whisperx[8].start 2066.431
transcript.whisperx[8].end 2087.625
transcript.whisperx[8].text 二 邀請行政院主計總處陳主計長淑芝 審計部陳審計長瑞敏 率所屬單位主管 列席業務報告並備質詢討論事項 審查本院委員王洪維 等26人 委員林德福 等20人 委員賴世保 等20人 分別擬據預算法增訂第81條之一條文草案等3案 宣讀完畢好 謝謝
transcript.whisperx[9].start 2089.451
transcript.whisperx[9].end 2097.122
transcript.whisperx[9].text 那我想我們是不是這個安排今日的整個議程我們邀請行政院主計總處主計長、省計長、陳省計長來進行業務報告
transcript.whisperx[10].start 2103.1
transcript.whisperx[10].end 2116.205
transcript.whisperx[10].text 那二就審查本院委員王洪威等26人還有本席林德福等20人以及賴思寶等20人分別擬據預算法增訂第81條之一條文草案
transcript.whisperx[11].start 2120.946
transcript.whisperx[11].end 2147.7
transcript.whisperx[11].text 先將請提案委員來說明提案要旨後再請主計總處陳署記長以及業務單位來報告來回應委員提案的內容接著再請陳審記長來進行業務報告以及財政部來回應委員的提案內容我們首先來請賴世保賴委員來針對他的提案來做說明要旨
transcript.whisperx[12].start 2152.486
transcript.whisperx[12].end 2163.18
transcript.whisperx[12].text 謝謝主席及各位先進本席這個提案有20人提案有建議目前我國
transcript.whisperx[13].start 2165.079
transcript.whisperx[13].end 2178.804
transcript.whisperx[13].text 負稅稅課的收入連續三年時針的速度高於當年的預算數已經變成常態了除了事實上我們也贊成要減債取債優先還債之外強化國家的財政韌性
transcript.whisperx[14].start 2183.846
transcript.whisperx[14].end 2203.112
transcript.whisperx[14].text 那麼應該明確的超徵稅收的這個運用讓民間共享這個政府所創造的一個經濟的一個佳績因此提原提案預算法增訂81條之一的草案那就是當政府稅客收入
transcript.whisperx[15].start 2204.694
transcript.whisperx[15].end 2216.413
transcript.whisperx[15].text 實證進而到達預算編列的百分之二十的時候應該要還權於民普發現金這是一個法源 幾個說明第一個 要發多少
transcript.whisperx[16].start 2218.12
transcript.whisperx[16].end 2243.622
transcript.whisperx[16].text 完全受损行政部门所以行政部门还是最重的权力他要花一万 花五千 花六千都是行政部门在决定第二点有人讲说这个根本就不是超增这是一个账的问题事先没有预估好各位我们上一次开过公听会有教授提出来我们去年度经济成长率百分之四
transcript.whisperx[17].start 2244.795
transcript.whisperx[17].end 2266.246
transcript.whisperx[17].text 可是我們的稅客收入增加8%所以這個就實際增加了怎麼沒有實際增加 實際增加了因為按照經濟成長率只有4%可是我們稅客收入就增加8%增加一倍所以這個錢 你說要優先分債 Fine 沒問題但是我們要看過去幾年
transcript.whisperx[18].start 2268.303
transcript.whisperx[18].end 2292.428
transcript.whisperx[18].text 連續三年都超徵 都是四五千億他都說優先還債 要還債 可是還多少 還5.4啊我們的法定是要還5% 他只有多0.4一點點啊 不然就這個時候少舉薪債少舉薪債一千多億而已啊 也沒有多少啊所以現在來講我們是有三千多億
transcript.whisperx[19].start 2293.516
transcript.whisperx[19].end 2314.099
transcript.whisperx[19].text 可以用的名目上是五千多億你說扣掉地方的扣掉這個法定的還有三千多億可以用你真的來使用還債還這個原來的原來的百分之五點多已經有別預算的所以還是有多出來的我覺得我覺得特別是這個稅客收入
transcript.whisperx[20].start 2315.1
transcript.whisperx[20].end 2328.194
transcript.whisperx[20].text 有一大宗占百分之四十左右是來自於中和所得稅中和所得稅就是你我交的稅所以還錢於民其實是非常有震盪性的更何況
transcript.whisperx[21].start 2329.525
transcript.whisperx[21].end 2349.91
transcript.whisperx[21].text 蔡英文總統在當任總統的時候她也編了六千塊行政部門編說我這裡只是給一個法源給一個法源還是由行政部門來主導不是立法部門主導這是一個很重的觀念請各位委員能夠再來支持謝謝各位好 謝謝賴世白賴昭偉
transcript.whisperx[22].start 2362.177
transcript.whisperx[22].end 2365.459
transcript.whisperx[22].text 現在請林德福委員來做提案說明謝謝 謝謝召委本院委員林德福等20人擬據預算法增訂第81條之1條文草案這個林德福 楊瓊英 顏寬恆等20人有建議2017至2023年間全國護稅收入實際金額有6次超過該年度的預算預估
transcript.whisperx[23].start 2391.576
transcript.whisperx[23].end 2414.674
transcript.whisperx[23].text 引發輿論的關注那政府稅收運用除了可透過特別條例將超徵稅收還稅於民外更有民意認為應該要優先減少特別預算債務舉借或照顧弱勢為降低民眾對政府預算運用的
transcript.whisperx[24].start 2415.495
transcript.whisperx[24].end 2436.16
transcript.whisperx[24].text 不信任感,避免政府假借全民經濟成果之名的行政買票大撒幣之時本席來凝聚預算法增訂第81條之一條文草案
transcript.whisperx[25].start 2437.318
transcript.whisperx[25].end 2443.3
transcript.whisperx[25].text 明定該年度法定戶稅收入實際實徵額大於預算數十俗稱就是稅收超徵除了第73條規定辦以外
transcript.whisperx[26].start 2454.005
transcript.whisperx[26].end 2471.45
transcript.whisperx[26].text 因優先來減少特別預算與中央政府總預算債務之舉借擴大照顧弱勢益助勞保基金公教退伏基金以全民健保是我有當 敬請公決 以上謝謝好 謝謝林鄭委員的發言下一位請這個提案委員王鴻鴻委員說明提案的要求請
transcript.whisperx[27].start 2491.428
transcript.whisperx[27].end 2507.364
transcript.whisperx[27].text 好謝謝主席我們各位委員以及我們今天來出席的各位官員我的提案主要是由包含王宏威賴世保黃劍豪等26位委員主要也是有鑒於從2021年起
transcript.whisperx[28].start 2509.966
transcript.whisperx[28].end 2537.124
transcript.whisperx[28].text 我们在税收超征的金额都占该年度预算的都增加从2021年起增加的很多比如说2021年就增加了4300多亿2022年增加了4900多亿2023年增加3600亿而到了去年这个税收超征的数字竟然高达5283亿
transcript.whisperx[29].start 2540.347
transcript.whisperx[29].end 2554.022
transcript.whisperx[29].text 那所以稅收超征當然有人說這是我們的政府部門稅收的部分它過於低估但是呢某一個程度這也代表就是代表我們的一個經濟成果
transcript.whisperx[30].start 2555.564
transcript.whisperx[30].end 2583.79
transcript.whisperx[30].text 所以全民的经济成果应该由全民共享这是非常非常合理的事情那而且呢以我本人还有赖世宝委员的提案我们的提到的税收超征应该还税于民他并不是说只要你有税收超征你就应该来做普发现金而是我们有一个所谓的警戒线有一个门槛
transcript.whisperx[31].start 2585.07
transcript.whisperx[31].end 2600.698
transcript.whisperx[31].text 所以在这边我要特别讲最近我听到比如说我们财政部长讲说这不能常态化不对没有读通或者是故意误导因为在我们的提案里面它是有一个门槛
transcript.whisperx[32].start 2601.838
transcript.whisperx[32].end 2619.15
transcript.whisperx[32].text 也就是说如果我的提案是3000亿如果你的税收超征不足3000亿的时候我们的财主部门有充分的权利他可以去做运用把转入税金剩余或者你要做什么样的运用
transcript.whisperx[33].start 2619.89
transcript.whisperx[33].end 2640.967
transcript.whisperx[33].text 但是以我的版本当你超过3000亿元以上的时候你当然应该去分享全民分享给这些我们的纳税人或者是我们的弱势团体所以所谓的常态化其实呢它是并不存在的而是法治化
transcript.whisperx[34].start 2641.687
transcript.whisperx[34].end 2665.218
transcript.whisperx[34].text 不要每次雖說超徵4000億5000億結果其他各部門就開始大家來搶錢搶來搶去最後反而全民沒有分到所以我們是保障我們所有除了你有例行性的不管你還債不管你照顧你要撥補勞保健保或者是你要去做一些補助但是當你超過3000億元的時候你就應該去
transcript.whisperx[35].start 2670.56
transcript.whisperx[35].end 2686.291
transcript.whisperx[35].text 還稅於民你就應該跟全民分享這是我們這一次修法最主要的目的是把它制度化財政要穩健當然要有制度化如果沒有制度化反而會造成整個財政的問亂以上 謝謝
transcript.whisperx[36].start 2690.057
transcript.whisperx[36].end 2707.293
transcript.whisperx[36].text 謝謝黃委員的提案說明向委員報告今天我們的議程派遞是兩大類一大類是請主計總署以及審計部做他的業務報告另外就審查項預算法
transcript.whisperx[37].start 2709.034
transcript.whisperx[37].end 2732.06
transcript.whisperx[37].text 81條相關的委員提案我們是有兩大類所以我們今天的發言時間我會控制的比較緊一點我們時間不會變但是我們希望大家不要拖太久的時間我們就請行政院主席總署陳主席長進行業務報告以及回應委員的提案內容請
transcript.whisperx[38].start 2742.165
transcript.whisperx[38].end 2763.232
transcript.whisperx[38].text 主席、各位委員、女士及先生今天應邀到貴委員會來報告本總署的業務概況自感榮幸本總署負責的政府預算、會計決算統計調查和主計資訊業務以下請就重要業務辦理的一個情形提出報告敬請各位委員來指教
transcript.whisperx[39].start 2764.392
transcript.whisperx[39].end 2783.544
transcript.whisperx[39].text 第一個預算的業務根據實施中程計劃預算制度還有籌編115年度中央政府總預算案和附屬單位預算及中計表然後為使計劃預算能夠緊密結合提升政府的一個資源使用效益所以我們根據落實中程
transcript.whisperx[40].start 2784.904
transcript.whisperx[40].end 2806.177
transcript.whisperx[40].text 計畫的一個預算作業制度各主管機關115年到118年度的中層稅出概算額度將以114年度的一個預算為基礎來做滾推各機關在核定的額度範圍內配合行政院的一個施政主著妥為規劃各年度的一個施政計畫和安排預算的資源
transcript.whisperx[41].start 2806.897
transcript.whisperx[41].end 2829.042
transcript.whisperx[41].text 本总署也将在兼顾政府财政健全和国家发展的前提下协助各部会按计划优先顺序合理配置运用整体的资源我们大概115年度中央总议刷案和附属单位集中计表预计在114年8月底送请大院来审议
transcript.whisperx[42].start 2830.404
transcript.whisperx[42].end 2855.318
transcript.whisperx[42].text 那再來第二個我們就是編制完成114年度總預算附屬單位預算及中繼表送請大院來審議我們會落實行政院的2050年淨零轉型均衡台灣健康台灣等施政重點我們總處籌編114年度中央總預算和附屬單位及中繼表然後納入永續發展和淨零轉型關鍵戰略
transcript.whisperx[43].start 2857.479
transcript.whisperx[43].end 2872.368
transcript.whisperx[43].text 辦理各項重大建設確保油電水供應穩定及完善居住教育醫療與照顧的民生需求那所以我們1比14年度總收入含基金編了7兆2595總支出是6兆9848然後剩餘2747億元及繳扣是2270億元在去年
transcript.whisperx[44].start 2883.895
transcript.whisperx[44].end 2904.068
transcript.whisperx[44].text 8月30 隨同114年度中央總統政府的總預算案送大院我們期盼大院能儘速完成審議以立個基金業務的一個推動那會計決算的業務113年度總決算附屬單位決算中計表中央政府前瞻計畫
transcript.whisperx[45].start 2905.589
transcript.whisperx[45].end 2930.356
transcript.whisperx[45].text 前瞻建設計畫第四期特別決算那這個部分我們由各機關執行並依決算法依規定期滿辦理決算的編照本總署正依照決算法21條22條會編113年中央政府總決算附屬單位決算還有中計表中央政府前瞻基礎建設計畫一個第四期的特別決算
transcript.whisperx[46].start 2931.096
transcript.whisperx[46].end 2959.321
transcript.whisperx[46].text 一 繼在4月底提經行政院會議通過後函送監察院二 深化政府內部控制監督機制為強化機關自我監督機制提升內部控制有效性協助順利達成施政目標根據輔導行政院及所屬機關學校簽署內部控制聲明書然後督促各機關就簽署會有效類型聲明書的重要內部控制缺失徹底進行檢討改善
transcript.whisperx[47].start 2960.661
transcript.whisperx[47].end 2978.468
transcript.whisperx[47].text 並持續辦理教育訓練宣導最新的觀念和實務做法協助機關強化內部控制監督各項的一個工作統計調查業務第一個辦理國民所得統計我們2月26公佈的國民所得統計最新資料是去年第四季成長為
transcript.whisperx[48].start 2980.569
transcript.whisperx[48].end 2995.124
transcript.whisperx[48].text 2.0主要是因為人工智慧應用和智通產品的一個持續熱絡所以實際是輸出實際成長8.9基本形成及新興科技的一個強勁需求那個企業投資力道
transcript.whisperx[49].start 2996.985
transcript.whisperx[49].end 3013.329
transcript.whisperx[49].text 續強實質成長19.2那受惠稅末節慶的一個激勵消費金融市場交易的熱絡以及境外旅遊一個熱潮持續抑制國外消費所以民間消費成長2.49並繼前三季2013年度經濟成長率是4.59%高於新加坡4.4%還有香港2.5%還有南韓2%也高於全球的2.8%
transcript.whisperx[50].start 3025.752
transcript.whisperx[50].end 3049.998
transcript.whisperx[50].text 根據牛津經濟研究院的預測美國雖然推出加徵關稅措施但是因為啟動協商或暫緩或縮小範圍目前評估實際政策力道對各國經濟衝擊上述有限全國經濟平穩成長2.6較去年2.8略緩但不確定性提高國際貨幣基金預測今年世界貿易量成長3.2%
transcript.whisperx[51].start 3052.659
transcript.whisperx[51].end 3074.013
transcript.whisperx[51].text 低於去年3.4% AI技術和相關運用的一個加速擴增 算力需求人因所以我國在地產業供應鏈完整而且升級優勢 所以出口動態持續推升出口的一個動能 內需方面半導體為失業AI商機所以持續
transcript.whisperx[52].start 3075.613
transcript.whisperx[52].end 3094.779
transcript.whisperx[52].text 積極擴充先進製程還有高階風車的一個產能那這些都均支撐我國內投資的一個成長另外就業市場穩健有利薪資的一個持續成長抑制家庭可支配所得加上跨境旅遊熱潮持續所以渴望維續消費成長動能重上預測本年積極成長約3.14
transcript.whisperx[53].start 3099.68
transcript.whisperx[53].end 3105.105
transcript.whisperx[53].text 那辦理物價統計部分我們本處按月實際統計調查113年消費物價者主市CPI比112年漲2.18那食物類上漲3.69主要是蔬果、外食等漲幅比較高不過單列下跌那服務類上漲2.45那主要是因
transcript.whisperx[54].start 3123.194
transcript.whisperx[54].end 3143.015
transcript.whisperx[54].text 全數較大的是房租持續緩漲醫療院所也調升掛號費所以加上停車費、汽車保養等等也是調升所以如果扣除蔬果和能源等短期影響的一個波動較大的項目核心CPI是上漲1.88
transcript.whisperx[55].start 3144.717
transcript.whisperx[55].end 3168.753
transcript.whisperx[55].text 那121至2月比去年同升漲2.12主要因為外食會續漲蔬果肉類水產品人高食物類上漲3.82房租醫療費用市漲所以延續上漲所致所以如果扣除以外CPI上漲1.6那生產者物價指數PPI的部分呢113年比112年漲1.37主要是電子零件
transcript.whisperx[56].start 3173.636
transcript.whisperx[56].end 3189.11
transcript.whisperx[56].text 零組件、電腦等4月份調漲還有加上台電4月和10月調漲電位但因燃氣基數較高下跌所以底下部分帳戶本年1-2月的PVI比去年上漲3.68
transcript.whisperx[57].start 3191.82
transcript.whisperx[57].end 3213.692
transcript.whisperx[57].text 那再來看一下就是人力需求各項一個抽樣調查掌握就業失業薪資等人力供需資訊本總署安約辦理人力資源還有收購員工調查那即時提供勞動市場所需要的一個資訊還有定期辦理補充性專案調查收集勞動力運用移轉就業失業的情況以及員工勞動報酬
transcript.whisperx[58].start 3216.173
transcript.whisperx[58].end 3230.416
transcript.whisperx[58].text 調新情形等資訊必須用相關的公務大數據還有國人戶海外工作統計以及薪資中位數等呈現不同年齡的教育程度那本年1月就業人數11161.9萬主席長盡量剪短了好不好好謝謝那
transcript.whisperx[59].start 3237.455
transcript.whisperx[59].end 3241.917
transcript.whisperx[59].text 比113年增3.2 失業人數39.6單週失業率3.3四週失業率是3.32公安服務預約全旅受訂員工薪資平均數47458那那個
transcript.whisperx[60].start 3254.29
transcript.whisperx[60].end 3265.422
transcript.whisperx[60].text 廠商較集中一月發連中獎金至薪資總平均數增加38.18所至那提出物價因素之後年增0.28經常薪資中位數是38142比實質中位數年增0.31
transcript.whisperx[61].start 3272.449
transcript.whisperx[61].end 3289.905
transcript.whisperx[61].text 那再來基本國事調查的部分我們已完成114年工業和服務業和縣市別報告並規劃辦理115工業和服務業普查的一個構想那114年農林普查方案我們已經奉行政院核定奉行相關機關來配合辦理
transcript.whisperx[62].start 3291.727
transcript.whisperx[62].end 3302.612
transcript.whisperx[62].text 那我們也運用相關的一個大數據來編制縣市常住人口統計等那主計資訊的部分呢我們主要是辦理中央和地方相關預算會計資訊系統的業務那這個部分呢我們在
transcript.whisperx[63].start 3308.255
transcript.whisperx[63].end 3327.869
transcript.whisperx[63].text 中央辦理稅計會計資訊系統還有特種基金稅計會計資訊系統地方稅計會計資訊系統的一些功能增修還有推廣委管管理還諮詢等那我們也協助114年度總預算案和附屬單位預算案還有一個總結112年總決算案相關的一個編制作業那辦理
transcript.whisperx[64].start 3333.132
transcript.whisperx[64].end 3338.953
transcript.whisperx[64].text 統計普查會計倉儲開放作業提升統計普查作業效率和資料品質配合國事調查所以我們辦理普查重要母體地址整編然後110工業普查和服務業普查的縣市報告還有等的一個系統的一個徵修作業那我們也建置主計資料倉儲系統落實資料盤點和分級
transcript.whisperx[65].start 3357.958
transcript.whisperx[65].end 3379.392
transcript.whisperx[65].text 那大院第十一屆第二會期第十次貴委員會所主辦辦理的事項我們這個總共有八項那其中提出推動電子化核銷規劃實成一項將於預算完成法定程序後解凍報告一線回覆外區
transcript.whisperx[66].start 3381.094
transcript.whisperx[66].end 3393.065
transcript.whisperx[66].text 達戶貴委員會及相關委員以上是本總署一個近期工作推展的情形我們今後將持續推進主計業務花園主計人員施政決策效能協助各項業務
transcript.whisperx[67].start 3395.902
transcript.whisperx[67].end 3412.243
transcript.whisperx[67].text 那接下來我繼續報導就是針對大院委員王宏威等26人還有賴世保等20人委員林德虎等20人混北擬聚預算法增訂81條之1條修正相關草案的一個相關說明
transcript.whisperx[68].start 3414.687
transcript.whisperx[68].end 3439.358
transcript.whisperx[68].text 那這個部分我們說明如下第一個所以說時增超過預算數是屬於估計誤差並會常態近5年來中央政府稅客收入雖有4年實際數大預算數但是109年因營所稅或戶稅縮減時增數位如意決而有低預算數的情形第二個所以說時增數超過預算數並不代表整年整體預算有生有財政有餘
transcript.whisperx[69].start 3441.179
transcript.whisperx[69].end 3451.669
transcript.whisperx[69].text 所以必須要先彌品差短並扣除法定還本才是可用的一個資源以112年度來講雖然稅收時增超過2934但是稅如稅出剩餘扣除債務還本1260他只剩下剩餘1536那再來
transcript.whisperx[70].start 3464.842
transcript.whisperx[70].end 3493.181
transcript.whisperx[70].text 這個而且因為特別預算還有差短所以必須舉債支應所以到113年12月底我們未償債務餘額還達5.9兆元那公共債務法規定政府稅務執行情增加債務還本那這個部分呢每一年稅客收入至少要依照體列百分之五到六來編列債務還本所以政府的稅務債務情形還有當年度的一個運算債務還本之外可以增加還本
transcript.whisperx[71].start 3493.721
transcript.whisperx[71].end 3507.403
transcript.whisperx[71].text 那第四個113年度剩餘呢 必須要等到114年企業審計部審定後 程序編入預算後才可以運用那113年度的一個
transcript.whisperx[72].start 3509.665
transcript.whisperx[72].end 3515.107
transcript.whisperx[72].text 預算稅客收入3兆7,619筆預算增加5,283但是這裡分到中央的部分是3,757那如果聯同稅入中央稅客收入增加3,757億部分聯同稅務案稅出扣除債務環本僅剩1,581而且必須等到114年7月
transcript.whisperx[73].start 3533.636
transcript.whisperx[73].end 3546.608
transcript.whisperx[73].text 審計部審定以後才可以透過預算程序才可以運用那稅出剩餘僅是一年度執行結果並不是年年都有所以稅出剩餘扣除網本之後我們如果從100年到112年其中單數年度稅入有一個
transcript.whisperx[74].start 3551.813
transcript.whisperx[74].end 3578.934
transcript.whisperx[74].text 剩餘區域六個都是沒有剩餘的所以這個部分並不是屬於常態性那第六是稅客收入超過預算數的額度納入預算常態化規定無法保持彈性因為環境在變國家政策重點也隨著在變所以有關減少債務舉借照顧弱勢還有抑制保險基金等用途已經有各部會納入公共債務法或重點施政來辦理所以我們
transcript.whisperx[75].start 3579.734
transcript.whisperx[75].end 3598.339
transcript.whisperx[75].text 行政院規劃年度的預算還必須要橫傾涉金的一個情勢變化還有國家當年施政的重點橫走各部會所提相關計畫案計畫優先順序討為納編那政府補完現金是有參的政策目的是用特定的一個事項和時間所以要必須有特別條例來規劃
transcript.whisperx[76].start 3600.239
transcript.whisperx[76].end 3613.855
transcript.whisperx[76].text 以過往為例 全民共享經濟成果不發現金所需要的是有行政委擬據 依後強化經濟與社會韌性全民共享經濟成果特別條例來送大院來審議 具以編列預算
transcript.whisperx[77].start 3616.658
transcript.whisperx[77].end 3636.892
transcript.whisperx[77].text 3.基於稅收時增數超過預算數的額護預算法明定限制用於普華現金或其他項目年度進行中如果發生重大災害或疫情相關額度將無法因應重上因應氣候變遷、地緣政治風險的不確定因是政府尚需維持適度的財政韌性以為因應
transcript.whisperx[78].start 3637.873
transcript.whisperx[78].end 3654.864
transcript.whisperx[78].text 原個委員所提增訂本版條人請審慎研議 以上報告敬請各位委員 女士 先生指教 祝大家健康快樂 萬事如意 謝謝謝謝陳主計長的報告我們下一位請 審計部的陳審計長 請好了 盡量剪短 好不好 盡量剪短
transcript.whisperx[79].start 3676.55
transcript.whisperx[79].end 3696.182
transcript.whisperx[79].text 你需要開麥克風你麥克風沒有開因為本部依法掌理政府及所屬機關的財務審計多年來承蒙大委員的支持與鼓勵各項審計工作均能按照計畫進行藉此競表由衷的感謝114年度依法審核中央政府中央最地方7968個機關單位
transcript.whisperx[80].start 3700.384
transcript.whisperx[80].end 3721.579
transcript.whisperx[80].text 收支金額二十七兆一元之執行之將審計業務辦理概況 檢要報告如下一 總結算及特別結算之審核一百一十二年度中央政府總結算計 副使單位結算及重計表及中央政府嚴重特殊傳染性肺炎防治及失控進行特別結算 本部以依憲法
transcript.whisperx[81].start 3722.279
transcript.whisperx[81].end 3735.874
transcript.whisperx[81].text 第105條的規定期限完成審查直轄市及縣市政府112年度的總決算亦經各地方審計處事在法定期限內完成審核提出重要審核意見2394項
transcript.whisperx[82].start 3738.897
transcript.whisperx[82].end 3761.517
transcript.whisperx[82].text 二 半年結算報告之審核 本部以依法第26條之一的規定期限完成查核並於113年9月27日提出半年結算查核報告與答案直向市政府半年結算 依經本部各地方審計處置在法定期限內完成審查提出重要審核意見63項
transcript.whisperx[83].start 3763.419
transcript.whisperx[83].end 3782.707
transcript.whisperx[83].text 二 審計綜合績效112年度各項審計業務執行計劃審核112年度結算經依法修正稅率收入結算即增累14億元減累11億元依法修正稅出租出結算增累28億元減累44億元
transcript.whisperx[84].start 3787.249
transcript.whisperx[84].end 3814.364
transcript.whisperx[84].text 績效性審計考核各機關的績效報告監察案者65案提出重要建設改建改建意見於各機關者280項認為有可能提升效能或增進公共利益提出建議意見923項提出議警性意見224項機甲財務上至為師報酬監察案處理者12案移送諸法機關者7案通知各機關查明處理者119案
transcript.whisperx[85].start 3816.365
transcript.whisperx[85].end 3830.508
transcript.whisperx[85].text 3.更新強化審計功能以落實創新核心價值4.更新推展公民參與審計強化諸行專家學者及公開諸行民眾意見近三年度已完成專家諸行計512處公開徵行民眾意見計91案2.透過
transcript.whisperx[86].start 3837.91
transcript.whisperx[86].end 3860.301
transcript.whisperx[86].text 主動提供民眾審計資訊 近三年發布1772則重要的審計資訊五 更細優化中央總結算的審核報告 除細深化中央施政議題的查核專章 精進總結算審核報告的審編及資訊公開三 專章會編行政機關優良案例推廣擴散情形六
transcript.whisperx[87].start 3862.121
transcript.whisperx[87].end 3878.907
transcript.whisperx[87].text 導致多元資訊科技推動數位發展 具體作為除息開發數位審計模組建構行政分析審計資源平台 建構中央風險導向的數位環境 其加強審計培力 後續專利發展
transcript.whisperx[88].start 3882.388
transcript.whisperx[88].end 3890.114
transcript.whisperx[88].text 1.促進審計專業培訓2.鼓勵世衛住址學習3.擴展國際審計視野4.114年度審計工作重點5.更新加強辦理重大施政計畫及有關民生議題之審計6.加強特別決算執行之審計
transcript.whisperx[89].start 3905.682
transcript.whisperx[89].end 3921.095
transcript.whisperx[89].text 3.更新加強特種基金公務執行成效之審計4.加強國營事業營運效能之考核5.加強重大公共建設執行情形之積查6.積極擴展市會審計查核議題創造最大審計價值7.加強地方政府財政管理之審計有關大宴第11屆第二會期只重要辦理
transcript.whisperx[90].start 3934.14
transcript.whisperx[90].end 3958.914
transcript.whisperx[90].text 主辦重要事項之處理應市面答覆者五項以韓報大院財政委員及香港委員一事事項以列為審核參考審計工作的主要目的在於促使政府健全財務秩序協助國家良善治理本部當時加強推動各項審計業務以善盡審計職責以上報告僅請主席、各位委員、女士、先生、主教謝謝
transcript.whisperx[91].start 3961.428
transcript.whisperx[91].end 3977.898
transcript.whisperx[91].text 好 謝謝沈記長的報告有關財政部報告就請各位執行參閱因為我們時間已經有點拖了我們現在開始進行詢答每位委員 主席委員發言8分鐘必要的時候
transcript.whisperx[92].start 3978.798
transcript.whisperx[92].end 3996.943
transcript.whisperx[92].text 延長兩分鐘 立席委員會五分鐘向各位委員報告在過去我都會讓各位委員多長七分鐘因為今天要登記的人相當多其他委員會很少開會所以我們都比較嚴格執行就是時間到了我會站起來
transcript.whisperx[93].start 3998.183
transcript.whisperx[93].end 4016.765
transcript.whisperx[93].text 那麼首先我們就請今天上午10點截止發言的登記本次會議委員如果有相關的修正動議請盡送主席來以便議事人員整理現在以登記的順序請登記第一位的林德武委員質詢 請
transcript.whisperx[94].start 4029.735
transcript.whisperx[94].end 4031.077
transcript.whisperx[94].text 謝謝 謝謝主席我們這個財政部莊部長陳主席長莊部長沒有來就是蘭次長來我來請那個主席長陳主席長請
transcript.whisperx[95].start 4048.479
transcript.whisperx[95].end 4068.082
transcript.whisperx[95].text 委員好主席長你好主席長我請教因為財政部長說普發現金不宜常態化是政府一直以來的主張那我請問主席長以您的立場還稅移民普發現金常態化法制化是不是根本沒有討論的空間
transcript.whisperx[96].start 4071.192
transcript.whisperx[96].end 4085.591
transcript.whisperx[96].text 我們原則上是不支持這樣的一個原則上不支持那我請教基於113年稅收時增數優於預算數但歸屬於中央政府的部分沒有比2022年高
transcript.whisperx[97].start 4087.834
transcript.whisperx[97].end 4104.85
transcript.whisperx[97].text 財政部認定普發現金不宜常態化那主席長111年度政府普發現金六千元的條件請問你認為是不是可以作為政府未來普發現金的門檻
transcript.whisperx[98].start 4107.108
transcript.whisperx[98].end 4121.905
transcript.whisperx[98].text 怎麼樣委員報告一下當初普發現金它有它特殊的一個目的性而且呢它是因為預估成長率整個一個疫後的一個消費它會消費退回所以我們為了加速振興
transcript.whisperx[99].start 4122.586
transcript.whisperx[99].end 4147.773
transcript.whisperx[99].text 才特別你具有特別條例特別條例然後來送貴院來審議經過貴院審議之後呢那我們才去迴遍預算所以這個部分呢所以我們是希望能夠維持經濟成長的一個穩定因為當初那時候的一個經濟成長率才2.1所以我們必須要希望它能夠持續的成長所以才發放現金好我請問你還是你認為稅收時增速
transcript.whisperx[100].start 4152.594
transcript.whisperx[100].end 4177.413
transcript.whisperx[100].text 優於預算數政府除了還債以外根本沒有其他考量的空間是這樣嗎事實上我們目前有很多重大建設譬如說重大建設都有編預算嘛你不要拉到那裡去每一年他的先後次序排列的不一樣所以我們不能把他定在法條裡面那他將來執行沒有我請問你
transcript.whisperx[101].start 4179.161
transcript.whisperx[101].end 4201.01
transcript.whisperx[101].text 那個財政部說稅收優於預期要先減少取債優先還債那如果能累積到稅劑剩餘財源應用要考量國家的產源發展本席認為啊財政部的立場無可厚非但是退一步來看國家
transcript.whisperx[102].start 4202.17
transcript.whisperx[102].end 4223.142
transcript.whisperx[102].text 之於人民好比這個股份有限公司之股東那我請問主席長你認為中華民國是基優股的成長股還是雞蛋水餃股一民看當然是基優股基優股好以國內的財政狀況來看財報是看好還是難看
transcript.whisperx[103].start 4227.771
transcript.whisperx[103].end 4253.542
transcript.whisperx[103].text 好看還是難看看好看好看那為什麼沒有辦法考量像花放鼓勵一樣還稅於民普花炫金為什麼因為他不是每一年都一定每一年不是每一年都有反過來因為今天就是定的他是要達到一個門檻那反過來如果難看
transcript.whisperx[104].start 4254.867
transcript.whisperx[104].end 4270.938
transcript.whisperx[104].text 前幾年又為何能夠花三倍券六千元的現金呢那是有針對特別疫後的一個情況來做一個考量而且當初的一個經濟成長情況也不是很好所以那時候我們就為了加強
transcript.whisperx[105].start 4271.758
transcript.whisperx[105].end 4296.864
transcript.whisperx[105].text 或提升經濟的一個成長所有而花放一個現金所以這是有特殊的目的而且每一項的一個政策的施行它優先順序每一年排列的情緒都不一樣而且如果我們把它定了沒有彈性以後將來再執行就會有它是達到一個程度啊不是沒有彈性啊主席長從公司的經營角度來看經營者心中
transcript.whisperx[106].start 4298.123
transcript.whisperx[106].end 4322.482
transcript.whisperx[106].text 要很在乎股東的財富那股利則是由內部經營者對未來整個成長與風險的思維來作為判斷所以如果不景氣而賺不到成長的差價對股息的期望會較高那本席認為說整個國家經營也是如此
transcript.whisperx[107].start 4323.644
transcript.whisperx[107].end 4330.493
transcript.whisperx[107].text 數十年的整個國家發展到現在近二十多年來貧富差距極端化
transcript.whisperx[108].start 4331.448
transcript.whisperx[108].end 4355.264
transcript.whisperx[108].text 那戶人少而集中 中產階級扁平化窮盲族根本看不到能夠好轉的未來那近貧各種弱勢族群嗷嗷待哺那請問主席長 人民看到政府稅收超增難道不會有所期待嗎 你看呢
transcript.whisperx[109].start 4356.064
transcript.whisperx[109].end 4384.696
transcript.whisperx[109].text 再跟委員報告如果說我們今年稅收有超收的部分那這個部分呢我們原則上會導入到剩餘去那累積剩餘以後經過審計部審定以後導入累積剩餘那我們再來再編列預算就會將預算裡面有相關對於民生重要的一個項目列為優先那這個部分並不一定要發放現金才叫做有利於民生 以上
transcript.whisperx[110].start 4385.876
transcript.whisperx[110].end 4406.431
transcript.whisperx[110].text 好比公司賺錢不發鼓勵給股東一樣如果股東經濟條件變好其實公司不發鼓勵本席認為對鼓勵的期待心理也不會太高反過來經濟條件變差人民這幾年持續面對高房價
transcript.whisperx[111].start 4407.881
transcript.whisperx[111].end 4425.401
transcript.whisperx[111].text 通盆高物價甚至連便當小吃都快翻倍的漲價那我請問主席長民眾對於還稅移民普花現金的期待難道不也是對政府經營有成投下贊成票的回饋嗎
transcript.whisperx[112].start 4426.542
transcript.whisperx[112].end 4441.652
transcript.whisperx[112].text 你的看法呢這個就像一個公司的經營一樣啊跟委員報告回饋人民的一個方式有很多種我可以利用各種政策而且等於是說我有國防的需要我有
transcript.whisperx[113].start 4442.752
transcript.whisperx[113].end 4461.348
transcript.whisperx[113].text 那個健保的一個需要或零到六歲各項的一個教育支出的一個需要這些的部分那個都有變預算嘛不是說沒有變預算沒有匡列啊政府不應該把普發現金看成好像異端才對
transcript.whisperx[114].start 4462.529
transcript.whisperx[114].end 4481.859
transcript.whisperx[114].text 對不對就像一個公司的經營一樣對不對你公司經營有成當然股東就是希望你發股利配股息吧對不對這個整個國家的運作跟一個公司的經營幾乎就是翻版那個主席長不要有那種思維主席長
transcript.whisperx[115].start 4482.719
transcript.whisperx[115].end 4503.952
transcript.whisperx[115].text 因為去年8月中旬公布112年家庭收支的調查結果顯示112年普發現金新台幣6000元的政策挹注下每戶可支配所得差距的倍數縮減為6.12倍你有沒有去了解尤其是對低所得
transcript.whisperx[116].start 4504.873
transcript.whisperx[116].end 4533.371
transcript.whisperx[116].text 主的影響很大 低所得主喔 主計長本席借用前主計長朱澤民說過的話人民貧窮感確實政府責任較大既然普發現金可以拉近所得差距的倍數更對低所得主有大影響 那我請問主計長基於民眾的觀感是不是可以再考量一下普發現金的可行性
transcript.whisperx[117].start 4535.992
transcript.whisperx[117].end 4555.263
transcript.whisperx[117].text 這個部分我免則上還必須要往上去牽扯往上牽 因為你就跟上級講這個就像一個公司的經營一樣不要那麼執著而且我剛剛有特別提到就是有很多低所得主他們的期待 主席長
transcript.whisperx[118].start 4556.204
transcript.whisperx[118].end 4575.955
transcript.whisperx[118].text 上個禮拜央行召開第一季的禮監事會議雖然主計總處曾說目前整個物價情勢相對平穩央行總裁也說根據以前電價調漲的弧度對CPI的影響對CPI有影響但影響不大那主計長去年底行政院召開
transcript.whisperx[119].start 4576.835
transcript.whisperx[119].end 4600.277
transcript.whisperx[119].text 物價穩定小組會議啊敲定關鍵原物料降稅再延一季到3月底那我請問主席長你認為25日討論降稅措施退場的機率大不大大不大因為這個部分會我是沒去參加但是我是覺得是說要降稅應該是不會啦應該不會
transcript.whisperx[120].start 4603.052
transcript.whisperx[120].end 4620.74
transcript.whisperx[120].text 要降稅 換句話說就是可能會截止就對了是不是不是 它一般它有降稅的部分會維持但是維持之後它還是要一直檢討檢討現況的一個情形然後再去決定哪些項目因為現在目前是還在討論當中還沒有做決定啦
transcript.whisperx[121].start 4622.321
transcript.whisperx[121].end 4636.535
transcript.whisperx[121].text 因為有媒體報導基於國際情勢仍不穩定減稅措施會考量再延一季延到六月底那請問主計長國際情勢是不是考量降稅與火與物價穩定是唯一的因素嗎
transcript.whisperx[122].start 4637.625
transcript.whisperx[122].end 4652.619
transcript.whisperx[122].text 因為國際情勢目前一向都還不是很穩定而且還沒有很明朗化所以目前這個部分還是要看整個一個狀況而且它一直隨時都在變所以這個部分我們也會去檢討按照去年底
transcript.whisperx[123].start 4654.416
transcript.whisperx[123].end 4676.345
transcript.whisperx[123].text 這個穩定物價小組的決議這個研議政策退場必須整個國際農工原料價格趨緩那整個國內物價持續的趨穩而且未來展望這個維持穩定請問主席長你認為今年有沒有退場的可能性降稅的措施退場會不會
transcript.whisperx[124].start 4678.258
transcript.whisperx[124].end 4697.154
transcript.whisperx[124].text 這個重新推升物價會不會其實因為我們如果有電價有調漲那目前房租還有一些外食是有比較偏高但是其他都很穩定包括有一些國際油料的部分都是在低價裡面來盤選好 謝謝林委員的質詢 下一位請吳秉樂委員質詢
transcript.whisperx[125].start 4712.745
transcript.whisperx[125].end 4717.607
transcript.whisperx[125].text 主席麻煩請陳主計長跟阮次長主計長 阮次長請兩位好委員好我在這個地方有十幾年的經驗所以我對於這個普發現金或是類似現金的這個消費券
transcript.whisperx[126].start 4740.848
transcript.whisperx[126].end 4766.331
transcript.whisperx[126].text 大概有遇到過幾次第一次是馬政府時代第二次是蔡政府時代蔡政府時代是三倍券五倍券再加上六千塊現金這一些都有一個共同的特徵它都是行政院認為應該要這樣做所以他提了一個特別條例到立法院來審議
transcript.whisperx[127].start 4767.981
transcript.whisperx[127].end 4792.501
transcript.whisperx[127].text 立法院通過之後再根據這個特別條例來編預算然後再來實施也就是說立法院依照憲法是審查預算不能做預算的提案如果你把預算的提案放在法律的硬性規定那行政權存在的
transcript.whisperx[128].start 4794.125
transcript.whisperx[128].end 4821.438
transcript.whisperx[128].text 兩大支柱一個預算一個人事就被你立法機關拿走了所以在這個地方我覺得既然是我們像我在立法院這一屆進來宣誓的時候我們事實上面是要克尊憲法但是現在好像把憲法都當作不那麼一回事反正要達到政治目的比較重要所以我覺得正常的程序應該是這樣才對吧
transcript.whisperx[129].start 4823.424
transcript.whisperx[129].end 4838.057
transcript.whisperx[129].text 那如果現在要不要 我要給你定在法律裡面立法院高薪要給你怎麼用 就要給你怎麼用沒有經過詳細的評估在馬政府的時代 那個時候經濟遇到重挫經濟成長率非常低 甚至只有零點幾
transcript.whisperx[130].start 4841.352
transcript.whisperx[130].end 4867.417
transcript.whisperx[130].text 這政府實在是遇到疫情疫情之後又國際地緣衝突所以使得國際之間的物價非常的不穩定那經濟的成長當時預估可能會有困難所以才會有這一些舉動今年如果照去年的這個預算的實收數高於預算數中央政府的部分中央部分大概是3700多億吧那3700多億
transcript.whisperx[131].start 4871.158
transcript.whisperx[131].end 4887.527
transcript.whisperx[131].text 可是去年的預算裡面光是要舉借的金額是多少1571億那一部分後來是不是就沒有舉借力有錢的就不用舉借了啊對 不僅沒有舉借而且多還了1500多億這兩個加起來就3000多億那你3700億填補這個窟窿
transcript.whisperx[132].start 4894.178
transcript.whisperx[132].end 4912.143
transcript.whisperx[132].text 沒有借在線上多還的就剩下幾百億而已啊所以如果你因為預算上面的時收數高於預算數三千億你就要來編你就規定說要來發現金的話那這不是變成政府必須要舉借來發現金嗎的確會有這個問題以前我們的賴昭偉我最佩服的是他非常堅持財政紀律啦
transcript.whisperx[133].start 4923.052
transcript.whisperx[133].end 4930.006
transcript.whisperx[133].text 哪有人除非情況非不得已不然的話一個政府怎麼會去借錢要來發現金給國民而且這個發現金給國民
transcript.whisperx[134].start 4935.682
transcript.whisperx[134].end 4957.079
transcript.whisperx[134].text 這個預算的理想是要調劑營需就要縮短這個財富這個差距的倍數所以如果要照顧民眾的話要照顧中低收入最優先照顧弱勢最優先照顧需要照顧人最優先你一普發會有一個狀況
transcript.whisperx[135].start 4959.147
transcript.whisperx[135].end 4987.576
transcript.whisperx[135].text 非常有錢的人張忠謀是我們的國民啊 他這麼有錢他需要你這一萬塊嗎那立法委員的薪水一個月都二十幾萬當然我們支出也很多 但是有需要這一萬塊嗎就變成說本來預算的另外一個目的希望能夠調劑營需對中央地方還有對國民之間的財富差距的縮小
transcript.whisperx[136].start 4988.886
transcript.whisperx[136].end 4993.208
transcript.whisperx[136].text 變成這個普發也沒有辦法達到這個功效是不是有這樣的狀況市長你回答一下所以我一直認為說這裡面大有問題為什麼要這樣做這是我私人個人的猜測因為
transcript.whisperx[137].start 5008.328
transcript.whisperx[137].end 5023.338
transcript.whisperx[137].text 政府要撥補台電的一千億砍掉啦預算碼要刪掉不給他過啊所以四月電價眼看就要漲價啦國人都知道漲價是因為政府全準備要撥補台電你不給他撥補嘛
transcript.whisperx[138].start 5026.092
transcript.whisperx[138].end 5053.17
transcript.whisperx[138].text 所以電價會漲怕人家罵現在趕快推出說我要發現金所以就有人說過嘛你何必這樣子呢你那一千億政府準備的錢你給台電台電不用漲這個民生電價那你就不用擔心還不用後面要來發錢來補是一萬塊錢比較重要呢還是電價漲的時候因為電價漲價所引動的生產成本各式各樣的成本漲價或低調
transcript.whisperx[139].start 5055.908
transcript.whisperx[139].end 5076.521
transcript.whisperx[139].text 所以說為了要達到政治的目的做政治的攻防去做錯誤的事情繞了一圈然後再拿錯誤的事情要來填補這是我私人的看法而且這樣做違憲因為立法院沒有預算的提案權我們是預算的審議權
transcript.whisperx[140].start 5078.422
transcript.whisperx[140].end 5098.352
transcript.whisperx[140].text 你的預算提來立法院 我們審議覺得有不適當的地方 適當的刪減而不是像這樣子啦 六千億 刪減或凍結要六千億國家的總預算才三億 三兆一千萬 三兆一千億弄了六千億 更何況連監察院96%的行政費
transcript.whisperx[141].start 5102.714
transcript.whisperx[141].end 5129.982
transcript.whisperx[141].text 事務費都把我拿掉我那天公祭遇到李鴻鈞以前我們在地方 我們是朋友嘛他現在當副院長他跟我抱怨說你們立法院亂搞讓我們台電 電費已經兩個月付不出來我跟他說 兄弟 聰明情緒不喜歡亂搞是要刪除的人給你機關預算然後把你的事務費全部都拿掉你什麼事情都不能做嘛
transcript.whisperx[142].start 5131.651
transcript.whisperx[142].end 5159.913
transcript.whisperx[142].text 連電梯都不能開啊紙也不能用現在立法委員要到如果要去做財產申報以前是電腦打開大家直接對就可以了資料取得很方便現在要到立法院去他沒有要用書面來所以假設每一個立法委員在銀行的戶頭都要去銀行請資料用紙本大家來對本來三分鐘可以處理的事情現在三天處理不完啊
transcript.whisperx[143].start 5161.972
transcript.whisperx[143].end 5181.689
transcript.whisperx[143].text 這次就是現狀啊 因為亂刪減預算的結果所以現在面臨一個大罷免的風潮結果真正富裕的時候 如果好好大家坐下來商量這件事情那就是一個補考的機會 把它弄回來正常 可以討論
transcript.whisperx[144].start 5183.188
transcript.whisperx[144].end 5202.005
transcript.whisperx[144].text 一樣啊 財化法也一樣啊你們就還沒有跟 把那個公事弄好地方也沒有弄好 你現在公事只有搶錢那也不來講說事務增加多少將惡搞的結果要一團亂所以難怪會有人推測說是故意要讓中華民國癱瘓真的這種話我在民間都聽到了那這個
transcript.whisperx[145].start 5209.11
transcript.whisperx[145].end 5236.339
transcript.whisperx[145].text 大家對立法院有意見民眾對立法委員有意見不是因為選出來之後馬上翻臉啦是你自己做的事情是不是好好的想一下有哪一些事情做得真的讓人家不滿意那大家坐下來把這個結怎麼好好的解開解開自然就沒罷免了嘛那時候我們自己現在在聊啊如果總預算的刪減是民眾不滿的原因
transcript.whisperx[146].start 5237.54
transcript.whisperx[146].end 5265.988
transcript.whisperx[146].text 那 複製的時候好好來談再花點時間把這個總預算處理好適當的刪減 大家給你鼓掌惡意的亂刪 全部這樣子亂砍求他不要啊連讓院長來立法院報告都不要啊就用一天 然後就把他表決通過了啊才化法也一樣啊你這個越綁越緊 就是硬要火車對撞嘛
transcript.whisperx[147].start 5267.666
transcript.whisperx[147].end 5292.178
transcript.whisperx[147].text 所以我在這個地方誠懇的呼籲過去這個東西是有制度的我們是有財政紀律的你的預算的處理應該像過去的方法先由行政院考量整個社會的狀況認為有必要的話提一個特別條例來到立法院經立法院對特別條例審查的結果
transcript.whisperx[148].start 5293.138
transcript.whisperx[148].end 5297.432
transcript.whisperx[148].text 再根據這個結果來編列預算到本院來審議通過之後再來處理這樣才是正辦 對不對
transcript.whisperx[149].start 5301.685
transcript.whisperx[149].end 5328.673
transcript.whisperx[149].text 我跟委員報告,我們目前的做法就是說我們如果稅收如果實證數超過預算數的話我們是先還債,那麼減少舉債如果多的,那麼就是移到稅金剩餘那稅金剩餘的運用就要看我們的施政優先順序比如說像民生或者是照顧弱勢或者是國防等等這些由行政部門做通盤的考量
transcript.whisperx[150].start 5329.113
transcript.whisperx[150].end 5338.318
transcript.whisperx[150].text 是啦 這個才是正辦啦齁加油要堅持啦對的事情要堅持不要被帶到錯的方向去啦謝謝好 謝謝 謝謝吳秉瑞委員來 我們接下來賴世保 賴昭偉大罵沒人回頭
transcript.whisperx[151].start 5358.739
transcript.whisperx[151].end 5366.588
transcript.whisperx[151].text 謝謝主席 請各位先進我們柯總在來這裡我就先請我們的主組長好不好 陳組長好 主組長 陳組長來
transcript.whisperx[152].start 5376.94
transcript.whisperx[152].end 5399.285
transcript.whisperx[152].text 老柯好不容易啊 今天大駕光臨啊說買票啊那你在罵蔡英文喔蔡英文上一次就發六千塊喔 你在罵蔡英文喔現在越來越大喔 罵蔡英文喔還有剛才無品類委員不斷的強調一直在講我 所以我一定要回一下啦這裡面這裡面不要忘了他裡面都講錯啊今天
transcript.whisperx[153].start 5406.144
transcript.whisperx[153].end 5421.513
transcript.whisperx[153].text 今天卓榮特院長提總預算的預算案是有詢答的不是直接表決 真言說瞎話不要這樣子講喔 不要只是惡鬥而已喔
transcript.whisperx[154].start 5423.897
transcript.whisperx[154].end 5446.124
transcript.whisperx[154].text 我以前都跟你說的 我的老柯 老柯想當院長一直來這裡打評論我講話你聽不聽 你聽不聽 老柯聽不聽ZIP ZIP 你知道ZIP嗎那個拉鍊拉起來叫ZIP ZIP 老柯ZIP好 來 我請教主計總署的主計長
transcript.whisperx[155].start 5447.88
transcript.whisperx[155].end 5452.923
transcript.whisperx[155].text 3月21號 電價審議委員會 破天荒啦 家庭用戶跟小店家11%產業5% 平均是6% 央行總裁說本來是8%啦我請問你 請問你啦 組織總組有派人去嗎
transcript.whisperx[156].start 5469.895
transcript.whisperx[156].end 5476.523
transcript.whisperx[156].text 這個電駕審議委員會有沒有派人去?有沒有?時間快了,我出局了你不知道喔?確定喔?確定喔?這時間暫停一下啦,都在錄
transcript.whisperx[157].start 5490.086
transcript.whisperx[157].end 5500.731
transcript.whisperx[157].text 有沒有派人 他們有派人啊 竹地種族怎麼會沒有派人去啊為什麼長小戶放大戶呢這個東西啊 大家都知道這個結果一查出來就是司馬遺啊 講的啦 這個司馬昭之心啊 路人皆知啊
transcript.whisperx[158].start 5516.005
transcript.whisperx[158].end 5537.046
transcript.whisperx[158].text 為什麼 為了大罷免天才火啊 你看 普羅大眾 把你氣成這樣 帳要算在野黨的啦就是這樣而已 就這樣子而已 你也不要講話不要講話 因為這個審議委員會不是你決定的 你也沒有去啊 你給我去
transcript.whisperx[159].start 5538.668
transcript.whisperx[159].end 5553.969
transcript.whisperx[159].text 你有沒有去?你有沒有去?我沒去,但是我要跟委員說這是會前會而來沒有去不要講話,沒有去不要講話你有去就跟你講,沒有去就不要講這個很清楚,就是行政院,他在揚我啦
transcript.whisperx[160].start 5555.794
transcript.whisperx[160].end 5581.865
transcript.whisperx[160].text 他就說 喔 因為我們不給他補貼一千億喔所以呢 看 我就張你們架 讓你們去找南北的立委人算帳結果 主席長 我們過去補貼台電三千億啊你仔細聽啊 你不要看那個 仔細聽我講補了三千億 四年漲五次啊
transcript.whisperx[161].start 5583.761
transcript.whisperx[161].end 5608.169
transcript.whisperx[161].text 我公開質詢郭志輝我說我給你一千億是不是你就不漲價他不承諾啊 照漲啊給了三千億給了三千億四年漲五次最近漲的是去年十月到現在不到一年 又要漲又要漲 更加凸顯我們今天案子的重要性
transcript.whisperx[162].start 5609.81
transcript.whisperx[162].end 5628.816
transcript.whisperx[162].text 既然你都一直要欺負老百姓那個補一千億也是老百姓的錢那不是天上掉下來也不是大風刮來的是我們的納稅的錢補台電錯誤的人員政策核電一度1.4塊錢不用要用4塊錢、5塊錢、6塊錢的光電、風電沒有認真cost down
transcript.whisperx[163].start 5637.697
transcript.whisperx[163].end 5656.488
transcript.whisperx[163].text 四年漲五次這幾年我們給了三千億每年漲啊這是一個漲價內閣啊所以我們主席講貪污內閣主席講得很接近了啦這個更加凸顯普發現金的重要
transcript.whisperx[164].start 5657.69
transcript.whisperx[164].end 5667.991
transcript.whisperx[164].text 老百姓、美人、老公、企業企業這樣變動以前買一個,下次買半個所以普發現金給大家交電費就是這樣而已
transcript.whisperx[165].start 5673.906
transcript.whisperx[165].end 5690.539
transcript.whisperx[165].text 我跟委員報告我們主要是在彌補他對民生電價他以前年度他沒有漲價的這一個部分那這一個部分估計起來也將近漲價不是你漲的啊你一直維持民生電價的部分沒有漲那這一個部分漲到11%要漲11%漲11%怎麼沒有呢
transcript.whisperx[166].start 5696.724
transcript.whisperx[166].end 5719.574
transcript.whisperx[166].text 他總共有2800億左右的一個部分他都沒有彌平所以後來我們編追加再追加為什麼他不用核電一度童子田都說我們一年要3000億度電如果通通改成核電就省3000億當然不可能通通要核電差不多學者都說20%20%就是600億度電一度省一塊錢不只一塊錢喔
transcript.whisperx[167].start 5725.296
transcript.whisperx[167].end 5741.525
transcript.whisperx[167].text 一度省3塊錢就1000多億就出來了我根本不需要補貼啊改成核電就有了啊你現在1.4那你風電、光電4塊錢以上我一度差3塊錢啊我就1000多億就有了啊
transcript.whisperx[168].start 5742.95
transcript.whisperx[168].end 5764.642
transcript.whisperx[168].text 對不對 現在修法在外面給你弄好了美國壓力也來了 美國爸爸也說叫我們用核電為什麼不順勢去走下去就都改觀不要補一千億 也不要漲價我們立法院還做了決議說不可以漲價的 你們照常啊
transcript.whisperx[169].start 5765.362
transcript.whisperx[169].end 5793.058
transcript.whisperx[169].text 是名利如物嗎?這樣啊這是你都沒回答啦但是我是跟你說清楚我是跟你說清楚你要聽進去 你告訴我 左院長這個 代表普發現金來繳電費太重要了真的老百姓不要擁有啦我們再看啊 主席人數主席長 來我們現在總預算 開始又沒有新的 新公佈的總預算
transcript.whisperx[170].start 5795.369
transcript.whisperx[170].end 5812.666
transcript.whisperx[170].text 是有公告了是不是開始可以使用了對 已經開始用了那軍公教條新是不是開始調了軍公教條新是可以調了可以調了喔 確定喔這是你自己講的喔今年的預算比去年多了1368億
transcript.whisperx[171].start 5815.928
transcript.whisperx[171].end 5842.399
transcript.whisperx[171].text 結果我們的院長 大院長還說總預算之外還是多了一千多億內政部多四百億 國防部多四百億國防部前幾天 顧立雄接受馬文君的質詢他說海昆豪一毛錢都沒有刪對不對 還有呢 教育部多了三百億外務部多了三百零六億 這都你的數字啊
transcript.whisperx[172].start 5844.233
transcript.whisperx[172].end 5855.717
transcript.whisperx[172].text 這都你的啊 怎麼會說沒有錢呢怎麼會衛生紙沒有呢怎麼說廁所裡面的衛生紙給你炸呢怎麼會這樣子呢你自己講的 你看陳組長
transcript.whisperx[173].start 5859.659
transcript.whisperx[173].end 5887.193
transcript.whisperx[173].text 你看 你就被我們的總委長打臉來 你講是 因為我們增加的都是公共建設包括勞健保但是減的他都減在特定的項目譬如說減業務譬如說你的局官減到為0我們現在就來講一個東西什麼補救 你總是要有個補救對不對可以不可以追加給女生可以不可以追加給女生
transcript.whisperx[174].start 5887.833
transcript.whisperx[174].end 5907.531
transcript.whisperx[174].text 可以追加減預算 但是時間來不及因為追加減預算的話 如果通過的時候我們現在縱使3月要公佈以後才可以開始籌編公佈了 已經公佈了公佈開始籌編 但是要有作業的時間那送到貴會來審查 通過的時候就將近6月將近6月 沒關係 我看一位
transcript.whisperx[175].start 5909.512
transcript.whisperx[175].end 5928.494
transcript.whisperx[175].text 我們研會有要幫你審嗎沒有問題啊但是這段時間沒有錢支出啊這段時間以我所謂都沒有錢捏有的撿到領的他完全隨便會付不出來除了監察院以外啦其他沒有啦還有還有黨產會啊這些都有撿到領的那你就撿到領就用第二倍金可以不
transcript.whisperx[176].start 5929.335
transcript.whisperx[176].end 5944.648
transcript.whisperx[176].text 第二億北京還要報立法院 要去檢查也可以所以我問你喔 因為我時間快到了齁我今天在不太有時間第一個 可以用追加檢預算可以用第二億北京來解決你講的問題 對吧
transcript.whisperx[177].start 5946.349
transcript.whisperx[177].end 5969.441
transcript.whisperx[177].text 但是跟委員報告最佳解預算有最佳解預算的條件第二預備金可以嗎第二預備金只能針對部分的執行有困難的部分執行有困難一直沒講到這個部分也必須要報到院裡面來讓院裡面報我請問那個中選會那個他現在都行政院的第二預備金那個可以嗎對不對
transcript.whisperx[178].start 5972.033
transcript.whisperx[178].end 5997.516
transcript.whisperx[178].text 川普的戰爭是比貪汙一百倍可怕我剛剛是這樣子你現在要不要進去 讓我說一下齁那個主席長啊 是我現在就跟你啊 好好的跟你講 是我就問你 第二倍均 PLUS追加減預算是不是可以解你的問題 是不是呃 呃 可不可以可不可以 你回答我 可不可以
transcript.whisperx[179].start 5998.601
transcript.whisperx[179].end 6003.864
transcript.whisperx[179].text 因為我們第二預備金以目前來講的話如果被刪減的那個部分要辦追加那個部分沒有辦法為什麼沒辦法一切歸零啊就可以開始追加減了怎麼不可以呢
transcript.whisperx[180].start 6019.243
transcript.whisperx[180].end 6026.569
transcript.whisperx[180].text 不是 歸零的追加減他會來不及可以啦請那個沈記長來一下沈記長來來來沈記長陳沈記長把事情釐清來 謝謝在國會殿堂要講真話喔沈記長你們這位副主記長可以不可以用
transcript.whisperx[181].start 6045.014
transcript.whisperx[181].end 6070.019
transcript.whisperx[181].text 第二倍金來處理第二倍金 凍住第二倍金有四個條件好啦 現在時間到不要講條件了齁我現在告訴你齁 處紀長我是很失望你今天給我這樣答案啦因為你來找我的時候你就講兩個追加錢預算PLUS PLUS齁特別就是第二倍金我都跟你說
transcript.whisperx[182].start 6071.874
transcript.whisperx[182].end 6089.48
transcript.whisperx[182].text 我絕對歡迎,我都非常正面的回應,結果今天來這裡怎麼都縮起來了,縮起來了,我覺得我對你的時候,不知道我以前對你有沒有尊敬喔,來,我們讓神經長講一句話喔,你對於現在人家講的,人家講的那個陽光啊,兩千,
transcript.whisperx[183].start 6091.107
transcript.whisperx[183].end 6116.402
transcript.whisperx[183].text 你的領據有問題,你怎麼處理?陽廣兩千筆的,這怎麼處理?因為陽廣是財團法人,財團法人法這個屬於文化部督導文化部要負責監督你要不要查?文化部已經移送檢調了你可不可以查?任何動用國家資源我都可以查所以,請問你什麼時候要去查?
transcript.whisperx[184].start 6117.142
transcript.whisperx[184].end 6138.567
transcript.whisperx[184].text 因為這個已經文化部委託會計書查過了但是你還是可以查啊我們會做一些了解我要求你去查可以嗎我們會 你有要求的話我們會進行了解什麼時候開始一個月你可以嗎因為我們整個一個月可以嗎一個月可以嗎
transcript.whisperx[185].start 6145.474
transcript.whisperx[185].end 6146.735
transcript.whisperx[185].text 主席有請主席長主席上請
transcript.whisperx[186].start 6176.533
transcript.whisperx[186].end 6204.455
transcript.whisperx[186].text 委員好主席好 延續剛剛賴委員的議題我想我在總質詢裡有問過到底追加預算可不可惜統一項目刪除掉顯然沒有道理在追加預算門剛好想要表示這個意見嘛 對不對因為總預算被刪減掉的部分追加預算有條件嘛有部分是不符合啦對 如果說在追加的話那不是代表那個立法院刪錯了嗎
transcript.whisperx[187].start 6206.176
transcript.whisperx[187].end 6223.32
transcript.whisperx[187].text 另外一個部分站在一個可以解決問題的一個出發點來說應該現在先去處理的那些凍結的部分委員會可以凍結有多少那需要院會來解凍有多少主委長這個部分可能要先行去準備啦如果說在野黨有體會到現在的預算已經變成自愛難行的話想要透過追加預算或第二預備金來處理的話
transcript.whisperx[188].start 6229.361
transcript.whisperx[188].end 6248.514
transcript.whisperx[188].text 這也不是壞事對國家不是壞事他們願意承認錯誤過度刪減但是呢就現實上可處理的應該先進行解凍嘛主委長我們是要解凍就是因為我們1380億嘛但是他解凍有的有條件那條件就是說你譬如說他解凍
transcript.whisperx[189].start 6250.075
transcript.whisperx[189].end 6277.602
transcript.whisperx[189].text 那凍結70%他要用完30%再可以來對那個其實很困難啦老實講連解凍的方式都很自愛難行那現在來說的話那現在要發現金不又是另一種矛盾的現象嗎對不對所以我是覺得現階段都是站在一個過度刪減預算之後想要解套的一個心理狀況提出今天的這一個法案出來啦基本上這不是所謂的還稅移民啦
transcript.whisperx[190].start 6279.222
transcript.whisperx[190].end 6295.003
transcript.whisperx[190].text 這是在花現金救罷免啦不可諱言的這幾位提案人當事人基本上都是被罷免的對象我覺得這個問題點在於說我們公聽會的時候在審查的時候居然沒有一個學者願意背書更何況連民眾黨的部分
transcript.whisperx[191].start 6296.164
transcript.whisperx[191].end 6320.714
transcript.whisperx[191].text 民眾黨的部分所找來的學者也反對更何況你去看喔 主席長你不覺得憂心嗎如果之前的刪減是錯誤的 凍結是錯誤的你看刪減的部分有高達多少我自己哈布蘭光計算是3683我不曉得對不對 這是第一第二個呢 這個財化法的部分是3753這把中央拿掉了錢第三個呢 你又要把這個現金發放常態化
transcript.whisperx[192].start 6322.134
transcript.whisperx[192].end 6324.941
transcript.whisperx[192].text 這不整個中央財政都掏空了嗎變成是三搶分啦組長 你擔不擔心啊
transcript.whisperx[193].start 6329.491
transcript.whisperx[193].end 6356.255
transcript.whisperx[193].text 事實上如果說財化修正要減少3753這個部分我們可能在115年周邊的時候就會有發生困難因為我們有一些原來的業務應該要移撥給地方的部分沒有移撥而且移撥還要依照法律要修正法律才可以移撥所以這個後遺症不是今年而已還有明年甚至大後年延續下去
transcript.whisperx[194].start 6356.735
transcript.whisperx[194].end 6377.043
transcript.whisperx[194].text 就是如同你剛剛你之前回答本席的是說在院會當中所有的新興預算都不能處理嘛對不對新興預算不能處理是預算還沒有通過啦那是總預算那現在總預算已經公佈了總預算可以公佈那開始進行了對現在目前就是前瞻前瞻還沒有通過前瞻還沒有通過那如果是這樣子的話
transcript.whisperx[195].start 6380.905
transcript.whisperx[195].end 6396.564
transcript.whisperx[195].text 那有一些重大的這個超過一百億的部分的新興預算可以處理就如同本席所整理的這些那哪一些跟賴清德總統裡頭政見比較優先相關的新興計畫是不是應該優先處理那個主席長你有沒有去整理過
transcript.whisperx[196].start 6398.348
transcript.whisperx[196].end 6421.435
transcript.whisperx[196].text 這個部分目前其實我們是可以有三棟的一個部分大部分就是說譬如說像那個節能電器補助這個比較攸關民生的那我們還正新要50億元的這個部分還有那個健康台灣60億這個部分會先執行護理人力整變的這個部分要是有這幾個這都會先執行
transcript.whisperx[197].start 6428.158
transcript.whisperx[197].end 6447.228
transcript.whisperx[197].text 這個應該如果說預算有通過就可以執行好 那就說有一些先進預算可以開始進行嘛那一些地方建設的部分以台南的先進運輸來說的話有沒有可能爭取得到第一期的南線的部分周遭預算的部分有沒有其他的這個方式可不可以進行
transcript.whisperx[198].start 6448.829
transcript.whisperx[198].end 6464.468
transcript.whisperx[198].text 這個部分是進行但是115年以後可能會影響到但是至少先進行嘛好不好可以弄的話今年先弄嘛不然的話台南這麼缺對不對捷運到現在六都當中就只有台南沒有捷運可不可以新型處理一下
transcript.whisperx[199].start 6465.771
transcript.whisperx[199].end 6479.875
transcript.whisperx[199].text 是可以 已經可以進行但是問題就是1155年可能會受到你不用再重複你先有的先有先求有啦再求多啦好不好請主席長費心一下啦那另外一部分呢其實今天會產生這個問題還是會回到一個問題啦也就是說這有關於這個預算這個
transcript.whisperx[200].start 6486.56
transcript.whisperx[200].end 6506.602
transcript.whisperx[200].text 編列的部分的失準我統計這五年當中失準的幅度一個是0.84一個是2.8相差蠻大主要是跟GDP的落差蠻多的這個落差的這種情況底下主要還是要放在這個稅計剩餘的部分嘛對不對除了法定的還債的部分是不是
transcript.whisperx[201].start 6507.082
transcript.whisperx[201].end 6528.083
transcript.whisperx[201].text 一般如果今年有那個他收入超過預算數那這個部分他本來要舉債的部分他就優先會減少就不去舉債第二個再來就是所謂的債務還本他就會還本數或者會增加還本那再來就是會變成如果有特別預算的可以抵調
transcript.whisperx[202].start 6529.244
transcript.whisperx[202].end 6538.03
transcript.whisperx[202].text 因為我們一般特別醫生都是取債就你現在講的數字啦我來跟你核對一下今年像中央超徵的這個3757億嘛對不對債務還本208億嘛是不是減少取債的部分是157億嘛對不對對157億嘛所以總共實際上剩下的是1978億嘛對不對
transcript.whisperx[203].start 6549.124
transcript.whisperx[203].end 6576.092
transcript.whisperx[203].text 大概剩下一千不到兩千啦剩下一千六百多你更少 你的估計更少一千六百多所以說也不夠一人一萬啊對不對而且呢 去年喔超徵所謂全國五千多億的情況底下也不過是16%而已所以也不到今天的法案的內容20%嘛所以說實際上你還完之後也不到三千億嘛不如你是用定額跟定率其實都蠻困難的嘛是不是
transcript.whisperx[204].start 6576.892
transcript.whisperx[204].end 6601.321
transcript.whisperx[204].text 所以一般大概一千六百多億他要經過審計部審定以後七月以後才會加入到累積剩餘還要編列預算才可以對還要用編列預算到稅積剩餘嘛那稅積剩餘來說之前我們稅積剩餘高達七千零百四十四億嘛一一二年底的時候到去年的時候剩下一百五十八億嘛那我想請教你稅積剩餘到底多少才合理啊
transcript.whisperx[205].start 6604.341
transcript.whisperx[205].end 6624.677
transcript.whisperx[205].text 這個也不是說多少才合理稅計剩餘主要就是看當年度一個稅入稅出執行的情形如果剩餘再做累積啦我們並不會預估說一個哪一個多少還是看累積就是保留一個彈性啦比較好作用嘛你至少可以預估一下那如何避免未來啊
transcript.whisperx[206].start 6625.297
transcript.whisperx[206].end 6640.927
transcript.whisperx[206].text 一個錯估的現象的出現齁我看你們報告當中所寫的其實主要是銀索稅、重索稅還有包括證交稅這三個大幅成長的結果嘛以至於錯估嘛這個部分是不是要請財政部來說對財政部好那我們請那個次長來次長請來次長請
transcript.whisperx[207].start 6654.347
transcript.whisperx[207].end 6671.045
transcript.whisperx[207].text 主要你們寫的原因是營業稅、眾所稅還有證交稅大幅成長而錯估最主要是營所稅跟證交稅成長的負面營所稅造成證交稅增加是因為股利發放多所以會造成眾所稅增加證交稅大幅成長
transcript.whisperx[208].start 6673.227
transcript.whisperx[208].end 6689.985
transcript.whisperx[208].text 證交稅之所以大幅成長主要是高科技產業嘛對不對對因為他權值比較重嘛對所以是不是你們將來在估計這些收入面的部分稅收的部分要考慮的不是整體的景氣分析而已還要包括一個特定產業的分析啊
transcript.whisperx[209].start 6690.405
transcript.whisperx[209].end 6712.027
transcript.whisperx[209].text 是委員的意見非常好所以我們這一部分我們會加強來做好相關的預算的預測所以我們也成立這個相關的估測小組而且為外研究那另外我們也透過AI來處理希望將來的預測能夠那這個時候什麼時候會預估會上路你這麼多改革的方法什麼時候目前都已經上路了
transcript.whisperx[210].start 6712.267
transcript.whisperx[210].end 6741.506
transcript.whisperx[210].text 都已經上路了那什麼時候以後就可以避免了嗎希望115年我們115年能夠有更就是更精準更精準的避免類似這些數字的產生以至於又發現金的口號出現我跟委員報告就是但是雖然是這樣但是因為我們編預算的時候還有很多的變數因為我們從編預算到實行的時候我知道那個當然就不在你掌握之內你事先能掌握超知在己的先行處理嘛
transcript.whisperx[211].start 6741.906
transcript.whisperx[211].end 6763.07
transcript.whisperx[211].text 至少不要變有變數嘛 可不可以 市長市長對 你們從一百一十五年避免類似形式的產生的努力跟目標嘛好不好不要老是出現這種問題連續四年了咧 好不好最後我再問一下主席長 主席長我還是讓你看一下 零四零三的部分當初行政院復原重建的計畫高達兩百八十五億光光復興的時候高達十六億之多啦
transcript.whisperx[212].start 6765.831
transcript.whisperx[212].end 6789.503
transcript.whisperx[212].text 然後同樣的這個政災的租金補貼的部分當初用政災基金會那現在是用這一個住宅基金啦那相對而言0102的時候就少了非常的多啦主委長在這個部分你有沒有什麼辦法可以為台南這個災情來多做一些努力雙重建然後然後復原能夠復興報告委員這個像那個我們農業方面有一關那個那個叫做那個
transcript.whisperx[213].start 6794.605
transcript.whisperx[213].end 6819.882
transcript.whisperx[213].text 沒關係啦 主席坐一下啦你講那麼久 我以前也沒有這樣子今天要控制一下有需要的經費這個部分台南市也有提出來申請我們也全力在協助說這個部分有相關的一個有教育部的預算有農業部的預算有文化部的預算有課委會的預算等等這些你應該都優先處理才對啊是是是這沒有道理在公共建設當中有所延誤啦
transcript.whisperx[214].start 6820.242
transcript.whisperx[214].end 6836.369
transcript.whisperx[214].text 所以我們很希望接下來行政院長下去的時候能夠帶實質的承諾下去然後在民間的部分的復興會員能夠加快腳步好不好這個部分他們會試劇去評估好 請主席長費先好謝謝謝謝瓜文的諮詢現在要請鍾嘉斌委員諮詢
transcript.whisperx[215].start 6853.493
transcript.whisperx[215].end 6863.582
transcript.whisperx[215].text 好 主席 在場的委員先進列席了政府機關首長官員 會長 公眾夥伴 媒體記者女士先生有請主計是陳主計長 主計總書對不起 主計總書陳主計長抱歉喔 因為今天沒有請到審計部的審計長好 那麼
transcript.whisperx[216].start 6873.032
transcript.whisperx[216].end 6896.998
transcript.whisperx[216].text 主席長好我先跟您請教一下我這個講的是預算依法撥補台電離島虧損競爭市場人才要調整新的結果來我們看第一張好總預算公佈了明年的總預算開始籌編了嗎已經在進行了進行籌編了嘛就是3月到4月之間嘛是不是我們中程計劃已經目前在進行我們很快的看下去好那麼有關於媒體報導在3月9號
transcript.whisperx[217].start 6899.076
transcript.whisperx[217].end 6915.482
transcript.whisperx[217].text 本來去年度補貼邊在今年的預算要補貼台電的被刪了嘛是不是總預算被刪了嘛總預算前幾天總統也公佈了嘛那結果台電不得不電價審議委員會現在調漲電價但是呢又有一個新聞說3月要台電打算追討110億的離島補貼這是什麼東西下一頁
transcript.whisperx[218].start 6921.721
transcript.whisperx[218].end 6947.994
transcript.whisperx[218].text 我們過去的離島用電虧損是不是都台電吸收是它都是由中央目的事業主管機關裡面來撥補是的就是離島建設條例第四條這是不是法定支出撥補離島供電的營運虧損是法定支出它不是屬於基金應該的支出也不是法定支出那這個條例第四條什麼意思是不是強制你要編列預算有沒有有沒有強制力
transcript.whisperx[219].start 6949.653
transcript.whisperx[219].end 6968.988
transcript.whisperx[219].text 是而且去年的經濟委員會決議喔建請離島基金研議撥補財政的可行性喔法律也這樣寫了立法院審議預算也這樣說了請問主席總署在籌編明年度預算的時候有沒有想過要怎麼樣依法律的規定編列預算撥補
transcript.whisperx[220].start 6971.571
transcript.whisperx[220].end 6995.626
transcript.whisperx[220].text 這個部分因為等於是說它還是有虧損啦虧損的部分是台電在吸收啦那這個部分如果說你沒有彌補它的話那它將來就是要要回歸到這我都知道但是我問的是您是主計總處啊是編列預算撥補這六個字編列預算撥補這六個字有沒有人要做誰要做誰該做
transcript.whisperx[221].start 6997.685
transcript.whisperx[221].end 7007.492
transcript.whisperx[221].text 事實上一般如果不是的話就要由地方政府來吸收我沒有說不是什麼地方政府我現在講的就是離島的這個寫在法律嘛離島建設基金14條嘛建設條例14條嘛
transcript.whisperx[222].start 7010.627
transcript.whisperx[222].end 7032.37
transcript.whisperx[222].text 目的事業主管機關要審核嘛然後呢政府要怎樣要編列預算撥補那編列預算是不是妳的全責之一是嘛所以就提醒妳開始要籌編了不管是經濟部編編在離島建設基金還是行政院主計總署要有想法了嘛是不是這樣是好所以說主計總署支持用基金來還是另編撥補台電
transcript.whisperx[223].start 7033.971
transcript.whisperx[223].end 7063.1
transcript.whisperx[223].text 因為它不是基金所能夠負擔的一個項目基金現在剩不到10億它要1100億所以也不符合基金的用途所以這個部分我們一般原則上應該都是要透過總預算來做好那很清楚了要透過總預算如果必要的時候有沒有可能是用最佳減預算還是特別預算你們去評估好不好好我們現在看來現在我們都很被問到台灣現在跟美國一不一致一致
transcript.whisperx[224].start 7063.92
transcript.whisperx[224].end 7083.634
transcript.whisperx[224].text 因為都把中國視為最大的對抗對象美國視中國不是對手,是對抗的對手,不是競爭的對手台灣視中國為境外敵對勢力所以美國川普喊話北約要增加他的軍費到GDP5%那明年我們國防制度的GDP佔比會不會提高,過去大概2.45%會提高嗎?
transcript.whisperx[225].start 7087.11
transcript.whisperx[225].end 7114.451
transcript.whisperx[225].text 我們原則上是希望要把它提高很好來提高在哪個部分一般來講我們的軍會兩個部分一個是武器採購一個是人員維持往下看所以目前我們看到了國軍缺員嚴重邊線比不足從88掉到了78而且也宣布了4月1號開始總統宣布了軍人海巡有加薪大概調整後可能可以增加到13000到15000而且這裡面我看到的是
transcript.whisperx[226].start 7115.171
transcript.whisperx[226].end 7121.716
transcript.whisperx[226].text 自願意的加擠調整之後呢基層的增加幅度多於中階的軍官多於將官你認為這樣合理嗎
transcript.whisperx[227].start 7124.585
transcript.whisperx[227].end 7140.854
transcript.whisperx[227].text 還是不評論?因為這個部分是屬於國防部的一個權責但是你不反對嗎?因為現在目前總統已經有宣布加薪所以我只針對這個加薪的部分你要去籌措預算嗎?好,那這樣會不會增加我們的GDP的占比?會嗎?也會好,但是我認為是不夠的往下看其實我們來看一下國軍是需要專業人才的
transcript.whisperx[228].start 7149.673
transcript.whisperx[228].end 7166.679
transcript.whisperx[228].text 站航管加擠 電針加擠 網路站加擠請問你認為這些專業人才如果是在民間企業的行情因為你們這個主席總書負責統計啊你們有沒有統計過這三類的專業人才在民間的行情怎麼樣多少錢要不要月薪十萬
transcript.whisperx[229].start 7169.064
transcript.whisperx[229].end 7189.902
transcript.whisperx[229].text 你們回去統計一下,了解一下,我認為都超過了但是我們看一看,現在這些人才我們看下一頁,治安人才緊接著在搶啊結果呢,警方的治安人才被搶走了啊兩百萬的年薪,你認為目前我們公共人員的制度,雖然你不是人種,有可能年薪兩百萬嗎?
transcript.whisperx[230].start 7192.176
transcript.whisperx[230].end 7212.118
transcript.whisperx[230].text 很難嘛 那怎麼辦 怎麼求財 怎麼留財我們來看一下美軍怎麼做美軍是什麼 它是用PR89 PR90什麼意思 現在就業市場上最高的那10%就是我的薪資水準你覺得我們公務人員的待遇可以這樣定嗎
transcript.whisperx[231].start 7213.868
transcript.whisperx[231].end 7227.794
transcript.whisperx[231].text 不是定 我們過去的過程是這樣子都是跟內部來比低階的人 初階的人要比中階的低中階的比高階的低新進人員一定比資深人員來的薪水低是不是這樣 美軍不跟你吃這一套啦
transcript.whisperx[232].start 7228.578
transcript.whisperx[232].end 7247.294
transcript.whisperx[232].text 他是現在就業市場如果這個人現在市場行情是十萬我就用十萬挖管他是不是之前剛新進就算他進來之後他的關節比別人低他的資金比別人低前面的人可能是七萬元他要挖他進來是十萬元你覺得公務部門國軍這些必要的部門有沒有可能用這種方式
transcript.whisperx[233].start 7249.139
transcript.whisperx[233].end 7264.294
transcript.whisperx[233].text 因為這個部分是人種他根據整個一個制度所以你土地的種族不會反對這種結構的調整吧我們原則上是尊重他整個的一個結構看他要怎麼去做調整是的 我問過人種所以人種這個結構在調整但是調整之後
transcript.whisperx[234].start 7267.469
transcript.whisperx[234].end 7285.484
transcript.whisperx[234].text 他的總金額會提高所以這是主計總數要準備好的我舉一個例來講啦現在如果一個大學新進的新生是PR90你覺得校長說不行啊怎麼今年的新生PR90以前現在四年級大四的當年進來的時候還PR80會不會這樣想不會嘛
transcript.whisperx[235].start 7286.425
transcript.whisperx[235].end 7313.593
transcript.whisperx[235].text 大學在招攬人才的時候認為我現在的薪生進來是PR越來越高比他早年的高這才是我們政府求財留財的方法往下看所以我們短期續薪它是以薪續職這個讓你參考這個問問人事總署再往下看所以接下來看到同樣的是要求財要留財我們也問過了財政部次長在這裡那天我問過了部長金控前十四大只有三家是所謂的犯公股
transcript.whisperx[236].start 7314.213
transcript.whisperx[236].end 7332.402
transcript.whisperx[236].text 那如果是台土輸,台灣銀行、土地銀行跟輸出銀行是輸輸輸啊請問財政部提出的方案要提高待遇來爭取留財、徵財,你們支不支持?這個部分已經送到院裡頭裡面在討論的,這個部分那你們支持嗎?你們去籌措經費
transcript.whisperx[237].start 7336.693
transcript.whisperx[237].end 7365.396
transcript.whisperx[237].text 是,人總也在研議中我問過人總了,沒有研議,他已經支持了我當面問過人總所以今天我一個一個問當了財政部的面前,我問主席長知不支持行政院如果要做這個,你知不支持人黨支持囉,你可以判因為這要看行政院的裁定啦,坦白說對,這是行政院的裁定,但是主席長不反對嘛來,我問一下,來,沈記長,總是要請到你沈記長,您知不支持,您反不反對
transcript.whisperx[238].start 7367.162
transcript.whisperx[238].end 7371.304
transcript.whisperx[238].text 主席主席主席主席主席主席主席主席主席主席主席
transcript.whisperx[239].start 7394.246
transcript.whisperx[239].end 7415.26
transcript.whisperx[239].text 明年度的預算籌編怎麼樣撥補台點的離島虧損怎麼樣納入預算籌編可以嗎可以什麼時候可以讓我們委員會或本席知道因為我們原則上進入預算的籌編大部分都是四月底四月底前可以讓我們知道吧四月底前讓本席或本委員會知道可以嗎
transcript.whisperx[240].start 7416.239
transcript.whisperx[240].end 7436.397
transcript.whisperx[240].text 4月底是有點太早,因為大概差不多6月底左右6月底都編好了啊6月底要定案6月就會明朗了但是台電的電價審議委員會4月底就會定案了這樣我們是不是要忍受我們希望說台電如果這個預算能夠撥補我們電價或許漲幅不會那麼嚴重
transcript.whisperx[241].start 7439.019
transcript.whisperx[241].end 7459.677
transcript.whisperx[241].text 所以可不可以你們可以提早釋出讓台電心裡有個底他這一億一千億有可能會落袋他才在電疫審議的時候能納入考量可以嗎你不讓我知道要讓台電知道啊我們一直都是支持台電要因為他這是補充你是支持但是你要變成你的法定職權來展示啊
transcript.whisperx[242].start 7460.377
transcript.whisperx[242].end 7484.593
transcript.whisperx[242].text 他不能吭著你口頭的支持來審議電價我都知道現在我的意思說電價審議不能只是看今天的影片你的口頭支持他必須看到行政院有依法定去進行預算的籌編可不可以好還有兩個主席站起來另外希望你們會同國防部跟人總這當然你們是比較輔助的角色對於我們如果調整薪資結構
transcript.whisperx[243].start 7486.054
transcript.whisperx[243].end 7513.977
transcript.whisperx[243].text 仿照美軍的PR-90的概念打破過去傳統資深優於資淺高階優於低階其實在我們這次國軍的待遇的調升已經看到了將官調得少衛官基層軍官調得多這就是一個好的方向去研議調整這樣的結構配合他們去做可以嗎我們尊重人種制度的一個調整還有國防部還有您也支持我們國營金融機構的員工待遇改善方案是不是
transcript.whisperx[244].start 7514.457
transcript.whisperx[244].end 7519.798
transcript.whisperx[244].text 原則是好謝謝謝謝因為當年這個限制是國民黨立委限制的謝謝我們都支持謝謝蔡委員的質詢 下面請賴委員質詢賴委員質詢完畢以後我們休息十分鐘好謝謝主席我們有請主席長
transcript.whisperx[245].start 7547.984
transcript.whisperx[245].end 7565.103
transcript.whisperx[245].text 委員好 主席長 午安 早安 早安先跟主席長致意 也跟你致敬你在上週的花蓮的演講 真的實在是令人感動 非常謝謝
transcript.whisperx[246].start 7566.565
transcript.whisperx[246].end 7582.336
transcript.whisperx[246].text 我想這個不管算帳還是總預算還是做那個調查的一個統計這些基本功其實都是整個政府運作的一個核心的一個基礎那如果沒有這一些的話其實我們也沒有辦法
transcript.whisperx[247].start 7583.157
transcript.whisperx[247].end 7606.176
transcript.whisperx[247].text 那個就是付公務人員的薪水也沒有辦法辦各種的一個業務那更不要講說基礎的一個建設其實如果沒有妥定的一個制定就是很好的一個政策其實我們這個國家會陷入在一個困境裡頭所以我想在野檔的二三預算其實大家都苦不堪言
transcript.whisperx[248].start 7606.877
transcript.whisperx[248].end 7621.526
transcript.whisperx[248].text 那在上個星期五3月21號賴總統已經正式宣布了今年度被在野黨亂山亂動的一個總預算總統就是已經下令了那我們在這裡看到就是從114年度
transcript.whisperx[249].start 7623.687
transcript.whisperx[249].end 7651.794
transcript.whisperx[249].text 我們的預算案 法定預算這個是那個空白 追加預算案也是空白那現在我要請教你就是說從去年開始9月開業以後在野黨就一直在阻礙這個總預算的一個通過其實到了上個月2月19號才終於把這個案子送出來竹記長 我想我們現在看到了你的官網裡頭你的法定預算還是空白的 就是說
transcript.whisperx[250].start 7653.59
transcript.whisperx[250].end 7668.458
transcript.whisperx[250].text 是不是因為這一次的三途通過的一個總預算在刪減的一個科目跟金額上面有很多的一個問題所以你沒有辦法把這個法定的預算把它就是很明顯的就是寫上去是不是這樣的一個困難
transcript.whisperx[251].start 7669.862
transcript.whisperx[251].end 7691.947
transcript.whisperx[251].text 因為現在目前碰到的困難就是說他要我們通案刪減一個636億的這個部分我們會有困難那這個困難我們還是要跟立法院來做一個說明希望立法院能夠支持這個部分看是要怎麼樣來處理能夠進行協商是這樣子所以你提出來了嗎
transcript.whisperx[252].start 7693.717
transcript.whisperx[252].end 7708.782
transcript.whisperx[252].text 我們目前正在研議當中我們也很快會提出來那另外我們也會針對就是說部分單位他被刪減的很厲害就是刪減到0或者是實際上運作有困難的這個部分
transcript.whisperx[253].start 7709.222
transcript.whisperx[253].end 7718.837
transcript.whisperx[253].text 水電匯付不出來這一些部分我們先優先的要來申請動之第二預備金所以主席講妳的帳已經兌上來了嗎就是被刪減的跟妳自己的帳有沒有兌上來了
transcript.whisperx[254].start 7724.963
transcript.whisperx[254].end 7739.859
transcript.whisperx[254].text 目前就是這個部分我們還是在對上還是有一些的疑議啦這個部分所以我們也會是希望說這個部分將來譬如說我們達成協調以後要用什麼樣數字來刪減或者是說要用什麼數字來做一個宣佈
transcript.whisperx[255].start 7748.486
transcript.whisperx[255].end 7762.432
transcript.whisperx[255].text 所以就是說在野黨胡亂的就是三讀造成審查後說出的一個數額這個有很大的一個爭議那未能易解那就像我們非常清楚就是說照這一次三讀內容的一個
transcript.whisperx[256].start 7763.392
transcript.whisperx[256].end 7778.323
transcript.whisperx[256].text 計算的話我們他是刪減就是要刪減2076億喔可是主計總署你詳細校對了以後發現需要確確的一個科目刪除的金額其實只要1439億那這兩筆兩筆錢差了636億元那這樣子的話在野黨也沒有非常明確的說他要刪什麼科目
transcript.whisperx[257].start 7789.091
transcript.whisperx[257].end 7796.11
transcript.whisperx[257].text 反過來要行政院自行調整三減數這個完全會三而三那怎麼辦呢
transcript.whisperx[258].start 7797.699
transcript.whisperx[258].end 7824.152
transcript.whisperx[258].text 所以這個部分我們就是刪減有困難那第二個這個刪讀內容這個部分要刪減2076億元的部分是有部分的單位預算他刪減數超過預算數超過7000多萬那所以這個部分就是會比較有問題那這個部分我們會照他就是說他的預算數來刪所以數字跟宣布的部分數字是會有出入那另外一個就是636億的部分沒有辦法刪
transcript.whisperx[259].start 7826.773
transcript.whisperx[259].end 7852.222
transcript.whisperx[259].text 而且等於說如果說要刪了要追加預算也要符合追加預算一個一個所定的一個原則它有四項的一個條件所以這個部分我們也是在努力中好努力中這個要非常的努力因為這個在野黨三這個二三這個預算我們很明確看得出來就是說其實是在阿扁時代的時候有一個就是中
transcript.whisperx[260].start 7853.122
transcript.whisperx[260].end 7867.148
transcript.whisperx[260].text 總預算的法定預算稅出跟這個我們的那個三減數這個大家看到了一個就是在那個阿扁時代這個大概是5.04那就是馬英九時代
transcript.whisperx[261].start 7868.969
transcript.whisperx[261].end 7884.201
transcript.whisperx[261].text 2012年的時候它其實是刪減的額度非常少只刪了0.02%那一樣就是說就算同樣都是超小也大這個阿扁時代的時候你看它刪減的比例最高也是在2002年也不過刪了5%
transcript.whisperx[262].start 7888.084
transcript.whisperx[262].end 7909.735
transcript.whisperx[262].text 那這一次這麼嚴重刪了6.63%啦所以我想這個其實是在破壞了整個中央的一個運作我們看得非常的一個清楚那所有刪減凍結其實集中在特定的一個機關的業務會那我們看到了就是監察院還有不斷單場處理委員會行政院還有總統府
transcript.whisperx[263].start 7910.956
transcript.whisperx[263].end 7930.941
transcript.whisperx[263].text 甚至我們看到了最離譜的就是一個就是內政部那個國土署他有一個在細指的那個白富的社會住宅這一個規劃叫1.2億結果把它刪掉那個變成超過了就是超過了他的預算數超刪了多了300萬這個實在是非常非常的離譜
transcript.whisperx[264].start 7939.503
transcript.whisperx[264].end 7957.991
transcript.whisperx[264].text 甚至就是說在監察院裡頭在監察院這個被刪了我覺得這個在野黨他這個其實是在圖利監察院他除了領薪水以外他叫他們什麼事都不要做所以這麼奇怪的一個刪預算的一個方式實在是非常的誇張
transcript.whisperx[265].start 7960.333
transcript.whisperx[265].end 7969.243
transcript.whisperx[265].text 這個主席長我想在這裡啦我覺得就是說也是要跟你共同的去再做一個探討就是說一算三成這個樣子你會不會擔心
transcript.whisperx[266].start 7973.493
transcript.whisperx[266].end 7989.502
transcript.whisperx[266].text 我們是盡力來做協調盡力來把問題解決因為像監察院一直跟我們說他水電會付不出來那那個台電公司要求他還要寫還款的一個協議所以這個部分我們也是希望說能夠儘早把問題解決
transcript.whisperx[267].start 7991.663
transcript.whisperx[267].end 8018.121
transcript.whisperx[267].text 這個是非常嚴重的你看凍結總預算比那個三年前平均增加了九倍這個非常嚴重會影響很多的招標案跟補助案我們看到了就是說在這個最低工資的審議案其實他也受到影響了本來是午夜要辦的人力應用調查可是或許他也會因為就是說這一波的一個那個凍結預算讓主計總處的人力調查
transcript.whisperx[268].start 8021.983
transcript.whisperx[268].end 8025.586
transcript.whisperx[268].text 那未來行政院有可能就是有什麼比較好的那個救濟的一個措施還是因應的作為嗎
transcript.whisperx[269].start 8037.678
transcript.whisperx[269].end 8055.391
transcript.whisperx[269].text 是那我們現在就是說針對那個剛剛就是說如果被凍結那個條件的部分我們是希望說能夠先送到立法院來然後跟立法院來進行協調先針對凍結的部分能夠進行解凍那刪減的部分我們是希望說
transcript.whisperx[270].start 8056.512
transcript.whisperx[270].end 8077.192
transcript.whisperx[270].text 因為他有一部分是三減到零這個部分我們先動二倍金然後跟立法院來報告先動二倍金對報告說請動二倍金來先支援到六月那然後等到我們辦追加減預算這個條件這個部分是不是能夠先協調說大概我三減的如果說我要照他
transcript.whisperx[271].start 8078.592
transcript.whisperx[271].end 8103.953
transcript.whisperx[271].text 總數來三減希望將來能夠這三減數能夠恢復以上的一個說明好 主席長我想這個總統也把那個在上個禮拜五也一併的這個財化法也一併的公告了這個財化法其實這個對掏空中央弱化地方的財政這個我們看得非常清楚他就讓地方政府變成是一個媽寶其實我們看到了就是說
transcript.whisperx[272].start 8105.234
transcript.whisperx[272].end 8129.786
transcript.whisperx[272].text 最多的一個補助的一個比例是在離島跟那個比例喔是在花東跟離島啦那這一次的修法其實有兩大的一個問題我們都非常地一個清楚了那地方要到錢不一定做對的事其實有時候我們反而覺得就是這個財化法是在陷害地方政府這些縣市長反而就是說
transcript.whisperx[273].start 8131.587
transcript.whisperx[273].end 8147.859
transcript.whisperx[273].text 會是一個陷阱那如何因應就是越糟糕的一個財化法這一次這個財化法我們看得非常清楚就是重北侵難 非常的惡劣如果要搭配補助款來通盤檢討跟分配
transcript.whisperx[274].start 8148.76
transcript.whisperx[274].end 8164.445
transcript.whisperx[274].text 那應該是一定要這樣做 必要的話甚至要調整整個補助補助款的一個公式我想在這裡我要替所有的一個農業的一個縣市來講像其實以我們台南來講的話
transcript.whisperx[275].start 8166.005
transcript.whisperx[275].end 8189.476
transcript.whisperx[275].text 因為我們台南來講的話其實我們拿到了150億結果我們的地下鐵就需要的是中央的補助款是256億現在中央告訴我們說他只能補助我們五成而已所以我想這個都是非常嚴重的一個問題那請那個主計長就是說也請你們加油啦請加油謝謝主席好 謝謝賴教委的諮詢
transcript.whisperx[276].start 8193.561
transcript.whisperx[276].end 8201.205
transcript.whisperx[276].text 我們本來要休息了 不過李英雄已經到了就是你執行完了 我們確定休息好不好請李委員執行 請感謝昭偉 我不贊助 我不會延長時間那我是不是就請財政部的阮政次還有財政部的阮政次以及我們的主計長主計長你先坐下喝水 等一下第二個問題再輪到你主計長先去休息一下 喝個水
transcript.whisperx[277].start 8227.176
transcript.whisperx[277].end 8240.747
transcript.whisperx[277].text 上個會期我們在立法院不分黨派修了一個非常重要的法案有共識的法案就是打詐專法但是打詐專法的案件跟金額我關注到從打詐儀表板裡面從3月16號到3月22號
transcript.whisperx[278].start 8245.211
transcript.whisperx[278].end 8247.612
transcript.whisperx[278].text 我們的詐騙的案件數仍舊有3917件被詐騙的金額仍舊有18億這是光光一個禮拜左右的時間在3月16號到3月22號
transcript.whisperx[279].start 8260.399
transcript.whisperx[279].end 8287.477
transcript.whisperx[279].text 在1月份我們被詐騙的金額是95億在2月份我們被詐騙的金額高達60億雖然我有關注到一個數字比較去年我們每日被詐騙的金額是4.8億現在可能透過我們修法的努力也好或者是我們的基層員警還有大家接受到有可能被詐騙的訊息現在每天平均可能只有2億
transcript.whisperx[280].start 8288.698
transcript.whisperx[280].end 8313.222
transcript.whisperx[280].text 但是這次每天全國被詐騙兩億這個數字每一塊錢都是人民的血汗錢我常常在基層跑的時候有一些民眾跟我講說我都不敢跟我家人講但我被詐騙了多少錢有沒有機會追得回來其實有時候我知道困難度非常高但他們非常痛苦
transcript.whisperx[281].start 8313.562
transcript.whisperx[281].end 8324.99
transcript.whisperx[281].text 也就是說我們要感受到人民的痛苦這件事情我覺得在打造這件事情我們似乎政府還應該做得更多我說到這邊你同意嗎
transcript.whisperx[282].start 8326.615
transcript.whisperx[282].end 8349.723
transcript.whisperx[282].text 跟委員報告事實上打詐這一部分我們對公股也好或者供應市也好我們這個是我們督導的重點對但是我們似乎可以做的更多我們不是似乎我們應該要做的更多如果說1月份還有95億2月份時間比較短有60億平均每天我們還有2億被詐騙
transcript.whisperx[283].start 8351.909
transcript.whisperx[283].end 8379.198
transcript.whisperx[283].text 我覺得政府應該要做的是更多的我們應該想辦法看我們有什麼樣的政策工具把打詐這件事情做得更多我相信你應該可以認同我的話但是這次我也關注到一件事情金管會前一陣子祭出史上最重的罰款這裁罰金額高達兩千兩百萬罰的對象是全台灣民眾最信任的我們的台灣銀行 台銀
transcript.whisperx[284].start 8381.957
transcript.whisperx[284].end 8405.227
transcript.whisperx[284].text 我想這次你應該知道什麼事情台銀的行員自主詐騙集團詐騙民眾的血汗錢而且根據台銀內部我們也有洗錢防治法的示警機制但是我們最後是查到就是查證人員跟主管認為該行員同署同一個分行就沒有積極查證
transcript.whisperx[285].start 8407.987
transcript.whisperx[285].end 8423.797
transcript.whisperx[285].text 我們自己政府官員公股銀行做出這樣的事情我們有相關的市井機制但是卻發生這樣的事情這件事情要不要為全國要不要為台銀這件事情跟全國人民道歉
transcript.whisperx[286].start 8425.028
transcript.whisperx[286].end 8451.377
transcript.whisperx[286].text 跟委員包括這個事情發生這發生在台銀的台銀是公股銀行它應該是所有公股銀行的表率在所有不管民間或公股銀行裡面台銀應該是人民最可以信任的單位我應該這麼說譬如說在美國美國銀行是大家可以最信任的單位在台灣銀行是公股銀行的表率是
transcript.whisperx[287].start 8452.578
transcript.whisperx[287].end 8468.436
transcript.whisperx[287].text 照理說應該做模範,但是卻發生這樣的事情,你認為應不應該為這件事情道歉?我跟委員報告,發生這種事情我們真的是非常遺憾因為他這個內部的相關的同仁除了遺憾之外,應不應該道歉?
transcript.whisperx[288].start 8472.13
transcript.whisperx[288].end 8496.929
transcript.whisperx[288].text 我是覺得是這樣子因為這兩個同仁我們現在都已經提起公訴而且都已經免職了那麼相關的督導的他們當然有司法的問題但是如果身為台灣銀行我們公股銀行第一表率我們的內控機制都這麼糟糕的話我們監理的機制內控的機制都這麼糟糕我們如何管理其他的公股銀行甚至是民間的銀行
transcript.whisperx[289].start 8498.904
transcript.whisperx[289].end 8516.937
transcript.whisperx[289].text 所以你到現在還不敢說出我們應該對民眾道歉我們未來會加強管理你只有遺憾兩個字我心裡會覺得非常難過因為每一塊錢我剛剛已經講了都是人民的血汗錢所以你不能道歉這件事情我個人是覺得我更覺得遺憾我也非常的詫異那我就要請問就是說除了檢訟司法之外就是對於這一個個案
transcript.whisperx[290].start 8528.405
transcript.whisperx[290].end 8545.141
transcript.whisperx[290].text 但是我們財政部跟金管會未來如何加強合作把加強後續的內控機制做得更好譬如說我要請問鄭次我們現在打詐的主管到底是專任還是兼任我們有沒有打詐主管
transcript.whisperx[291].start 8545.882
transcript.whisperx[291].end 8558.637
transcript.whisperx[291].text 打詐的主管基本上他是按照他的權責就是說有沒有打詐主管這件事你就直接回答有做沒有好有好有那他是專任還是簽任
transcript.whisperx[292].start 8561.151
transcript.whisperx[292].end 8575.945
transcript.whisperx[292].text 這個他不可能是專任的因為他為什麼因為他一個分行裡面那我就要說我的看法想法我不知道你為什麼說不能專任但是對於無論洗錢防治法也好或者是專任的打擊詐騙內部做的內部監
transcript.whisperx[293].start 8579.188
transcript.whisperx[293].end 8607.99
transcript.whisperx[293].text 監控的控管這個是需要高度的關注兼任這件事情我有時間我才可以走我沒時間我要把我的本份業務做好本份業務沒做好我會拖累到整個銀行的整個系統SOP 標準SOP所以就是因為它長期是一個兼任的機制所以是不是才會有台銀這個事情發生我不知道還有沒有其他的未爆彈但是我今天在這邊質詢我就透過我的質詢提醒你
transcript.whisperx[294].start 8609.212
transcript.whisperx[294].end 8615.867
transcript.whisperx[294].text 專任跟兼任在去做打詐主管這件事情對於銀行的內控機制的管理
transcript.whisperx[295].start 8617.754
transcript.whisperx[295].end 8641.485
transcript.whisperx[295].text 是有程度上的差異能不能做得更好就是有程度上的差異所以你不要跟我講說你沒有辦法做是在人為看你有沒有決心當台灣銀行自己做了一個專任的打詐主管找出一個打詐主管是專任的我相信未來整個內控的機制管理監理都一定會做得更好我跟委員報告就是基本上這個案子未發生基本上是發生
transcript.whisperx[296].start 8642.385
transcript.whisperx[296].end 8669.979
transcript.whisperx[296].text 到第一道防線因為我今天時間不多因為我還要問主席長但是我只提醒你怎麼樣做得更好我只提醒你工具跟方法但是你要去思考怎麼樣去做兼任的能不能做得更好或者是專任的才可以把事情做好我提醒你因為臺灣銀行發生這個事情全國都在看如果臺灣銀行內控沒做好你怎麼去要求其他公股銀行甚至是民間銀行
transcript.whisperx[297].start 8670.759
transcript.whisperx[297].end 8673.461
transcript.whisperx[297].text 主席,臺灣的通膨已經連續三年超過二我們通常跟央行主管跟您之前討論,超過二就開始人民對於通膨的感受度是非常明顯的
transcript.whisperx[298].start 8697.256
transcript.whisperx[298].end 8723.89
transcript.whisperx[298].text 但是台灣已經過去連續三年通膨已經達到警戒線甚至都超過二那我們現在碰到幾個當然非常大的挑戰國際的問題關稅的問題匯率的操作這都是匯之數好那我看到你二月份上修的預估通膨是達到1.94我要請問主計長這個1.94有沒有計算到今年可能面臨的關稅還有包括我們店家的漲幅
transcript.whisperx[299].start 8725.962
transcript.whisperx[299].end 8755.089
transcript.whisperx[299].text 然後民生用電也會漲到11%工業用電可能漲到6%當然這都還不一定但是這個1.94有沒有把今年水電的漲幅納入考量沒有這目前是沒有沒有的好那如果今年我不知道最後會漲多少那我們通膨會有沒有可能再上修如果4月份公佈調漲之後你目前有沒有計算過幾個版本我們最後通膨會上修大概多少
transcript.whisperx[300].start 8756.187
transcript.whisperx[300].end 8774.817
transcript.whisperx[300].text 如果有店會有調整的話那這個部分我們大概會做一些上修啦我當然知道你一定會上修因為那個數字是很輕你當然要計算但是主計長你應該會有幾個版本你會去建議跟行政院長 卓院長溝通說欸 調漲5% 6% 8% 11%大概排骨飯未來會多少會漲到多少 芋頭飯會多少早餐一個三明治會漲多少你應該有跟他講吧
transcript.whisperx[301].start 8784.202
transcript.whisperx[301].end 8800.29
transcript.whisperx[301].text 我們主計處不是加減數字我們應該也會提供一些政策思考給長官看嘛不是 因為這個部分我們主要是我們的評估我們會把評估結果送給院長你有送就對了你有提醒他們就對了有送好幾個版本有送幾個版本但是我們沒有針對台電這個我們還沒有去把還沒有對
transcript.whisperx[302].start 8805.633
transcript.whisperx[302].end 8816.76
transcript.whisperx[302].text 主席講這個事情很大條我的意思是說你應該去告訴他漲5%那整個通膨是多少7%是多少 11%你們應該有這個版本才對如果到現在還沒做這個版本非常訝異台電要不要漲現在還沒有做確定
transcript.whisperx[303].start 8822.884
transcript.whisperx[303].end 8847.924
transcript.whisperx[303].text 我們必須等到他漲了確定之後那漲了就來不及啦 漲了就來不及主席講 我再提醒一件事情我再用最後30秒因為我去年問你說我們現在受雇員工的經常性薪資已經是連續三年的負成長好不容易今年調整變成正成長變0.58%所以如果今年的通膨持續維持新高的話那
transcript.whisperx[304].start 8850.727
transcript.whisperx[304].end 8865.397
transcript.whisperx[304].text 我們今年是不是經常性的薪資 實質薪資都能夠維持正成長或甚至變回負責這是去年啦 但今年到底狀況你今年還能維持正成長好 謝謝好 謝謝李文的質詢 我們休息十分鐘
transcript.whisperx[305].start 8902.884
transcript.whisperx[305].end 8904.03
transcript.whisperx[305].text 走吧走吧
transcript.whisperx[306].start 8948.029
transcript.whisperx[306].end 8955.175
transcript.whisperx[306].text 謝謝觀看,下次見!
transcript.whisperx[307].start 8984.551
transcript.whisperx[307].end 8984.571
transcript.whisperx[307].text 蝦仁
transcript.whisperx[308].start 9025.808
transcript.whisperx[308].end 9032.692
transcript.whisperx[308].text 謝謝大家。
transcript.whisperx[309].start 9043.039
transcript.whisperx[309].end 9057.81
transcript.whisperx[309].text 後面一家家伙上來打牌這家伙是一家家伙這家是一家家伙
transcript.whisperx[310].start 9068.937
transcript.whisperx[310].end 9068.957
transcript.whisperx[310].text 鋼琴
transcript.whisperx[311].start 9089.191
transcript.whisperx[311].end 9114.403
transcript.whisperx[311].text 所以還有7個,那是8分鐘嗎?10分鐘10分鐘,哦,好,加20分所以7個,這樣,這裡,然後呢,就要點20,然後上上下下,拌拌,然後拌,然後拌,然後拌,然後拌,然後拌,然後拌,然後拌,然後拌,然後拌,然後拌,然後拌,然後拌,然後拌,然後拌,然後拌,然後拌,然後拌,然後拌,
transcript.whisperx[312].start 9118.423
transcript.whisperx[312].end 9119.965
transcript.whisperx[312].text 差不多四年次
transcript.whisperx[313].start 9142.366
transcript.whisperx[313].end 9143.047
transcript.whisperx[313].text 嗯嗯嗯
transcript.whisperx[314].start 9169.442
transcript.whisperx[314].end 9171.643
transcript.whisperx[314].text 中文字幕 李宗盛
transcript.whisperx[315].start 9204.219
transcript.whisperx[315].end 9204.239
transcript.whisperx[315].text 嗯。
transcript.whisperx[316].start 9234.564
transcript.whisperx[316].end 9234.604
transcript.whisperx[316].text 哦哦
transcript.whisperx[317].start 9299.662
transcript.whisperx[317].end 9300.804
transcript.whisperx[317].text 哈哈哈哈哈哈哈哈
transcript.whisperx[318].start 9327.959
transcript.whisperx[318].end 9328.799
transcript.whisperx[318].text 這裏有個大廈,這裏有個餐廳
transcript.whisperx[319].start 9364.039
transcript.whisperx[319].end 9364.82
transcript.whisperx[319].text 谢谢大家
transcript.whisperx[320].start 9392.714
transcript.whisperx[320].end 9392.834
transcript.whisperx[320].text 謝謝大家
transcript.whisperx[321].start 9422.676
transcript.whisperx[321].end 9425.437
transcript.whisperx[321].text 中文字幕志愿者 李宗盛
transcript.whisperx[322].start 9463.643
transcript.whisperx[322].end 9493.302
transcript.whisperx[322].text 響鐘
transcript.whisperx[323].start 9532.718
transcript.whisperx[323].end 9535.24
transcript.whisperx[323].text 這個要我報告我們現在已經臨時領文資訊卿
transcript.whisperx[324].start 9546.533
transcript.whisperx[324].end 9549.66
transcript.whisperx[324].text 好 謝謝主席 我們請這個陳主委長好 陳主委長請
transcript.whisperx[325].start 9555.786
transcript.whisperx[325].end 9571.693
transcript.whisperx[325].text 委員長好 主委長您在這個2月26號我們主席總署發布國內的經濟預測表示因為立法院刪減預算所以會這個削弱成長動能因而下修今年的經濟成長率是3.14%教育測數減少0.15%
transcript.whisperx[326].start 9579.456
transcript.whisperx[326].end 9596.352
transcript.whisperx[326].text 這樣真的是如此嗎局長來我讓你看那個我們這個PPT啦局長你可以看到幾乎所有的單位在院會被巡視都表示今年度的預算都有增加我們看國防部增加400多億
transcript.whisperx[327].start 9597.153
transcript.whisperx[327].end 9607.557
transcript.whisperx[327].text 教育部增加300億內政部增加400億交通部增加389億農業部增加83.2億衛福部增加306億國科會增加132億科爾會增加也增加了4億主席長你說這個增加這麼多啊
transcript.whisperx[328].start 9618.982
transcript.whisperx[328].end 9636.431
transcript.whisperx[328].text 總預算數的總額高達兩兆九千兩百四十八億也比一百一十三年度多了一千三百六十八億整個中央政府的總預算比去年度增加了百分之二點五六你說對不對
transcript.whisperx[329].start 9638.535
transcript.whisperx[329].end 9658.049
transcript.whisperx[329].text 這個數據對不對報告委員因為增加的項目是增加2,806億那主要是增加公共建設對健保的一個補助還有一些調薪這些等等但是三檢的部分是三檢集中在部分的機關還有業務費所以這樣才會有執行困難就是你這個我剛才提的數據都對嗎是
transcript.whisperx[330].start 9663.032
transcript.whisperx[330].end 9669.379
transcript.whisperx[330].text 所以說您對外界說是因為立法院刪減預算所以下修今年的經濟成長率
transcript.whisperx[331].start 9673.173
transcript.whisperx[331].end 9694.037
transcript.whisperx[331].text 這個部分我也跟委員在說明他主要有幾點的一個因素影響第一個他前面的基數就已經很高了他又提高因為本來我們預估是比較少再又提高所以他今年我們的增減會減少那第二個預算也有一點點有影響雖然影響沒有但是也有影響預算也有影響就是以前面積極高
transcript.whisperx[332].start 9696.678
transcript.whisperx[332].end 9697.859
transcript.whisperx[332].text 因為你這樣的說法跟央行總裁的講法完全背道而馳
transcript.whisperx[333].start 9717.231
transcript.whisperx[333].end 9733.506
transcript.whisperx[333].text 央行他在這個下修今年的成長率他的專業評估是因為川普這個上任對經濟充滿不確定政策充滿不確定性川普將科對等關稅恐將衝擊出口
transcript.whisperx[334].start 9736.388
transcript.whisperx[334].end 9765.358
transcript.whisperx[334].text 台積電擴大赴美設廠恐衝擊國內的投資所以才下修經濟成長率跟你講的什麼總預算什麼三減會影響所謂的這個經濟的成長率完全背道而馳啊你這個說法不是很外行嗎主席長你身為我們中華民國的這個整個預算的一個這個主計啊你講這樣子下修成長率跟預算算數有關
transcript.whisperx[335].start 9767.409
transcript.whisperx[335].end 9779.938
transcript.whisperx[335].text 是有關的但是我要跟委員報告因為川普的這個因素目前一直還不確定中所以這個因素一直還沒有放到評估裡面去這個才是最大的因素跟你講說什麼跟這個預算總預算的三減有關
transcript.whisperx[336].start 9798.03
transcript.whisperx[336].end 9823.452
transcript.whisperx[336].text 聽起來很外行你講這個話另外有關今天我們討論預算法的修正那主席總書在3月7號你對外指出說收支剩餘應優先用於償債或留工未來重大的正式支出應考量保留政策彈性普發現金不宜常態性來辦理你這個說法我今天告訴你你根本是在凸顯行政院
transcript.whisperx[337].start 9824.513
transcript.whisperx[337].end 9832.521
transcript.whisperx[337].text 這幾年撥補台電的不適宜啦主席長你知道說過去我們編列多少次的預算補助台電嗎
transcript.whisperx[338].start 9834.475
transcript.whisperx[338].end 9856.411
transcript.whisperx[338].text 目前補助三千億總額是三千億 總共幾次 我告訴你三次所以我們知道台電到今年二月它已經連續三年的大虧損累計的虧損高達四千兩百二十九億主要的原因就是依照童子賢先生講的
transcript.whisperx[339].start 9858.172
transcript.whisperx[339].end 9868.278
transcript.whisperx[339].text 就是因為錯誤的能源政策以及整個能源採購與經營的效益不彰而下個月台電又要再次調漲電價預計四月份我們的民生電價要漲11%
transcript.whisperx[340].start 9874.602
transcript.whisperx[340].end 9898.271
transcript.whisperx[340].text 產業的電價漲5%這將衝擊到1450萬戶產業民生的影響所有的電價全調這也是我們四年來第五次的漲價因此照這樣的延續的補助台電是否也可以認定是常態性的辦理一直補助台電這是常態性的辦理嗎
transcript.whisperx[341].start 9900.121
transcript.whisperx[341].end 9921.39
transcript.whisperx[341].text 其實不是常態性的辦理但是主要是因為他對於民生的電價他沒有漲所以這個部分呢就高達有2800億左右那這個部分我們主要是彌補他這個不叫常態性的辦理喔這每年在家虧損就一直補助他用政府編列預算來補助他你說這不是常態性的
transcript.whisperx[342].start 9921.87
transcript.whisperx[342].end 9944.31
transcript.whisperx[342].text 以國外的一個例子來看 他調整的一個調整的電價調得更高所以這樣子的話民生更沒辦法承受所以這個部分我們在調節的部分你現在是說補助的問題 現在一直補助他每年他有虧損 我們政府就要編列預算來補助他像你今年你要編一千億的公務預算
transcript.whisperx[343].start 9945.131
transcript.whisperx[343].end 9970.81
transcript.whisperx[343].text 都是用政府編列預算來補助所以這樣的補助的方式未來只要台電有虧損我們就要補助這不是叫常態性嗎不是這個部分主要是他有配合行政院針對政策性的讓他民生電價不要漲價這個部分來做彌補所以這個部分才叫做才補貼這個部分這樣啦 這個組長我問你啊對於台電的一個撥補啊這個屬不屬於我們的常債
transcript.whisperx[344].start 9974.318
transcript.whisperx[344].end 10002.175
transcript.whisperx[344].text 這不是常債這不是常債嘛對啊所以不是常債那我們現在講我們超徵稅收要來這個還稅於民你說台電可以用我們上一次也有用我們超徵的稅收來補助他嗎所以你說這不是這個常態嗎那請問你那我們這一次把我們這個要求說把我們超徵的稅收來還稅於民這個是常態嗎
transcript.whisperx[345].start 10003.581
transcript.whisperx[345].end 10013.37
transcript.whisperx[345].text 因為他如果變在余政法裡面他就會變成常態所以你要把超徵的稅收我們把要求還稅於民這是OK的啊
transcript.whisperx[346].start 10014.335
transcript.whisperx[346].end 10033.339
transcript.whisperx[346].text 這跟補助台電的道理是一樣的啊因為一般我們有剩餘是透過在政策上一個表達所以我們會先進到一個累積剩餘的一個累積然後再編列預算來做政策性的一個我看你的報告說今年扣除所有的債務還本我們大概還有1581億
transcript.whisperx[347].start 10038.26
transcript.whisperx[347].end 10045.307
transcript.whisperx[347].text 所以這1581億難道不可以來還稅漁民嗎這你完全扣除所有的債務了
transcript.whisperx[348].start 10046.616
transcript.whisperx[348].end 10071.812
transcript.whisperx[348].text 因為裡面我們如果說要把它放在115年我們也或者是追加我們也必須要等到7月審計部審定以後我們才可以來做這個我們了解但是你的政策方向要很明確告訴我們說這個是可以的而不是說這個不能常態這樣不能常態化這個就講的就讓我們覺得很奇怪實際上這是可行的
transcript.whisperx[349].start 10072.692
transcript.whisperx[349].end 10093.239
transcript.whisperx[349].text 當初發放現金重點是經濟成長不好然後第二個是因為疫後疫後我們為了要刺激經濟讓它能夠有復甦所以我們才會做一個這樣因為卓院長在3月6號的院會備詢的時候他表示會往在野黨所提撲發現金的方向走
transcript.whisperx[350].start 10094.139
transcript.whisperx[350].end 10112.592
transcript.whisperx[350].text 但是今天主席總書的報告 包含您剛才的一個詢答 您是對此不表認同啊所以主席長 我們主席總書是反對卓院長 他所這個詢答的時候 他所表示的方向嗎我們是對一定在法條裡面 我們是不支持是這樣的一個意思
transcript.whisperx[351].start 10113.072
transcript.whisperx[351].end 10140.621
transcript.whisperx[351].text 是說你如果支持了以後這個部分定在法條以後將來就是變成他沒有彈性那沒有彈性的話執行的時候就會比較針對其他的一個政務的影響就會蠻大另外我想剩一點點時間問你您的報告說稅收時增超過預算數是屬估計誤差請問你是這個所謂的估計誤差是怎樣子的一個估計誤差
transcript.whisperx[352].start 10141.781
transcript.whisperx[352].end 10149.208
transcript.whisperx[352].text 這個部分可能是財政部要說明的部分不屬於妳的對 因為稅務的估計是屬於財政部的業務是財政部來說明財政部每年都這樣一直超增所謂的講說是估計誤差那過去主計總署都沒有發覺這樣離譜的誤差的稅收預估狀況嗎
transcript.whisperx[353].start 10167.864
transcript.whisperx[353].end 10181.05
transcript.whisperx[353].text 我們114年就把它這個修正了所以我們114年的一個稅率也大幅的增加這樣財政部這樣一直說超徵有沒有這個會估計估計會有這麼大的誤差總共10年喔10年來都超徵啊這樣是不是破壞財政距離這樣會不會破壞財政距離啊
transcript.whisperx[354].start 10189.233
transcript.whisperx[354].end 10212.978
transcript.whisperx[354].text 這本身這個114年預算的稅務我們就已經有做修正了這個部分所以你這樣忽視財政部這樣離譜的預算編列能力與誤差主計總部是否有你你是否有失職我們今年已經有經營請他修正了所以今年的一個稅務又有大幅的一個修正謝謝好以上好謝謝好謝謝那個
transcript.whisperx[355].start 10218.632
transcript.whisperx[355].end 10219.853
transcript.whisperx[355].text 主席 主席長 請主席長請
transcript.whisperx[356].start 10238.081
transcript.whisperx[356].end 10262.799
transcript.whisperx[356].text 主席長我個人一向很尊敬您我也是尊敬您我覺得你身為一位獨立自主的女性我內心表達非常敬重但是我昨天 還是昨天 前兩天看到新聞看到說您有一個 您上了一個節目還是上了一個宣講的場合參加一個大罷免的活動 對吧 有吧
transcript.whisperx[357].start 10263.939
transcript.whisperx[357].end 10290.979
transcript.whisperx[357].text 我不是參加大罷免活動我是在宣講政策是宣講喔我覺得我看著你我看你一上台就拿著稿開始唸吧我不知道你唸的那句話是就應該是人家寫給你的吧照稿讀啊那我心裡覺得很難過啊就覺得好像是被人家拿一個東西叫你唸前面那一段啊前面那一段啊說什麼你是怎樣是怎樣我覺得我心裡很感慨啦因為我覺得到底你是去宣講呢還是去亂講啊
transcript.whisperx[358].start 10292.287
transcript.whisperx[358].end 10317.639
transcript.whisperx[358].text 我主要是在講台中文化法修正的一個困境你身為主計長我對我們的行政官員事實上都一向很尊重那我們這些行政官員尤其是政務官應該要保持一定的高度在我來看都當到國家部會首長都是非常高的位置而且是讓人家敬重的那至少你要去宣講政策當然是行政院要求要去宣講政策職責所在那宣講的內容也應該照這個
transcript.whisperx[359].start 10320.06
transcript.whisperx[359].end 10339.756
transcript.whisperx[359].text 比較 我們來看一下妳說了什麼嘛那妳知道去參加以前 妳知道這是民進黨在做這個全台大罷免一個造勢的場合嗎不是 因為他們說這是我們政策宣講的一個場合所以妳認為這個是很適合出現的嗎主計官隊來講 各地的主權都很中立的角色啊
transcript.whisperx[360].start 10341.098
transcript.whisperx[360].end 10361.746
transcript.whisperx[360].text 你覺得你適合參加嗎所以你不知道他是罷免的場合就對了因為他們在那邊講罷免啊有人上去演啊 罷免啊重點是宣導政策所以你認為你是去宣導政策不是說去講反罷免這個事對 我一向也沒有這樣子你沒有這樣的想法所以你身為主席連這種基本的判斷能力也沒有就對了
transcript.whisperx[361].start 10362.605
transcript.whisperx[361].end 10390.063
transcript.whisperx[361].text 不是沒有 而是認為說我不是這樣子我們來看一下你現場提供的資料好不好我們來看你提供的資料正不正確你宣講的有沒有像你看這個你現場提供的三立的報導金省前跟金省後這你在《人民是土家》的政策宣講講原來金省前28歐財化法的這是財化法這個稅率劃分情形之前是28.9 直轄三縣市台灣省政府是11嘛中央政府是60.1嘛那金省後
transcript.whisperx[362].start 10390.883
transcript.whisperx[362].end 10412.318
transcript.whisperx[362].text 這個您提供24.6% 省政委的部分是11% 中央政委的部分是64.4%這個是你做的表沒錯吧 是那這個表裡頭 我想請問你你做這個表的意思是說 經審前跟經審後 因為你看71.1%跟75.4%所以增加只有 中央只有增加4%的意思是嗎
transcript.whisperx[363].start 10413.343
transcript.whisperx[363].end 10441.061
transcript.whisperx[363].text 我的意思是說這個部分必須考量原來台灣省政府的業務的部分當初我們中央是有承接雖然收入有承接但是支出同樣有承接這是講收入我先討論收入的部分我知道支出當然也有承接所以你做的這個表把這個畫起來左邊是71.1右邊是75.4那意思是說中央只增加了4點多的收入是嗎
transcript.whisperx[364].start 10442.281
transcript.whisperx[364].end 10469.091
transcript.whisperx[364].text 對中央就是說等於說地方他減少了4點多的一個收入就經審後地方只有減少4點多嘛對所以在你這個表格裡頭省政府是屬於中央嘛對不對因為省政府的業務後來劃歸到在你這個表格因為我們說左邊經審前啦在你的裡頭省政府也算中央的是是嗎好下一頁來中華民國憲法第108條省政府是中央海地方
transcript.whisperx[365].start 10471.308
transcript.whisperx[365].end 10486.706
transcript.whisperx[365].text 按照憲法規範你身為中華民國主席長中華民國憲法第108條中央是中央地方業務包括什麼省市省政府縣市政府所以你這個表格是我覺得是意圖在這個誤導民眾啊
transcript.whisperx[366].start 10489.602
transcript.whisperx[366].end 10502.962
transcript.whisperx[366].text 我是針對整個一個稅務裁員你用這個表格我知道但是我知道你把那弄很清楚但你把它弄成71.1好像是只有增加4%地方減少那麼少地方好像只減少4%但事實上就是不是這樣子
transcript.whisperx[367].start 10504.687
transcript.whisperx[367].end 10531.149
transcript.whisperx[367].text 你這個誇號 你用這個誇號 像精神前中央只增加不到5%然後你把精神前省也算成中央 這個是在欺騙百姓啊因為你是行政官員 你當初宣誓的時候是宣誓是按照中華民國憲法宣誓 要遵守憲法所以在百姓宣導證的時候 你必須要合憲合法你現在馬上到旁邊的幕僚把他給我翻中華民國憲法第108條 省算是中央海地方
transcript.whisperx[368].start 10532.496
transcript.whisperx[368].end 10557.718
transcript.whisperx[368].text 因為經省以後他的業務是移到中央來辦理沒錯嘛 那錢也是移過來嘛所以地方的錢是變少嘛地方的錢也變少嘛 沒錯嘛我的意思是說 你要講說因為財務法我是主審的 我非常了解你要說地方的中央事情變多 錢變多 事情也變多那現在如果財務法要這樣畫那我們也必須要把這個一些事權下放
transcript.whisperx[369].start 10558.338
transcript.whisperx[369].end 10578.758
transcript.whisperx[369].text 這點我都同意我也都尊重所以我在這裡也一直在講說那內政部提出哪些事權要下放的法律修改啊交通部經濟部各個部會覺得哪些部會有些事情既然前面財化法分給地方那地方多做一點把事權劃出來啊我請各個部會提出相關的修法這個是各個部會應該提出他們沒做嘛
transcript.whisperx[370].start 10579.438
transcript.whisperx[370].end 10600.605
transcript.whisperx[370].text 對不對 他們必須這樣做嘛 那你們主計處跟財政部也應該提出你們的版本是你們一直不願意提出版本嘛 我們苦等再等 一等再等從六月份等到九月份 再從九月份等到十二月份 都沒有 我們就只好修法嘛我們不是不願意說等你們有版本吧
transcript.whisperx[371].start 10601.405
transcript.whisperx[371].end 10610.536
transcript.whisperx[371].text 那因為可是我是在說當你身為一個政務官下鄉去宣講的時候你要講正確的觀念啊比如說你連省是中央還是地方你都搞不清楚嘛
transcript.whisperx[372].start 10611.482
transcript.whisperx[372].end 10635.11
transcript.whisperx[372].text 你身為一個中華民國的主計長連中華民國憲法的明白規定的中央跟地方的權限都沒有弄清楚嘛你說我有沒有說錯啊我現在是在談業務的部分對對對 沒有啦你要宣講你要給百姓正確的觀念嘛但是你要給百姓正確的觀念嘛是 謝謝不然你連中華民國憲法都不了解你還是依照中華民國憲法宣示的主計長啊那我再請教你所以我請說您宣講的時候準備材料的時候我寧願喔 站在我的立場
transcript.whisperx[373].start 10640.692
transcript.whisperx[373].end 10654.226
transcript.whisperx[373].text 以我對你的尊敬我寧願相信你是被誤導啦我真的是寧願這樣相信啊好 那請教齁現在那個我們以前一直有提到一個什麼就是地方的這個自籌款跟那個中央的這種
transcript.whisperx[374].start 10655.649
transcript.whisperx[374].end 10670.297
transcript.whisperx[374].text 就在補助的時候一些款項比例就像財力分級的自籌款的比例 對吧有分一級 二級 三級 四級 五級每一級有不同的規定比如說台北市第一級 連江第五級自籌款比例會不一樣 沒錯吧對 因為整個財源改變請問哪個等級是地方要自籌50%
transcript.whisperx[375].start 10678.001
transcript.whisperx[375].end 10707.21
transcript.whisperx[375].text 哪一個等級這個部分目前沒有現在正在研議當中沒有現在沒有嘛對不對沒有嘛齁那為什麼金門縣政府收到這個有部會的這個公文說這個補助款下去地方請地方自籌50%這個依法有據嗎我們整個目前正在檢討當中對你在檢討還沒有下公文嘛對不對還沒有你還在檢討但是有部會喔已經提出這樣的公文給地方政府喔說下去你們的這個自籌款要準備50%喔這個是依法有據的公文嗎
transcript.whisperx[376].start 10708.943
transcript.whisperx[376].end 10718.627
transcript.whisperx[376].text 還是在恐嚇地方的公文啊沒有嘛 還沒有這樣規定出來對不對我們主計總署是沒有下這個公文對 我不是說你主計總署我知道 我相信主計總署會依法辦事雖然你沒有熟讀那個憲法不了解這個也被誤導 好不好我就認為你被誤導我在地方聽到這個齁我們基本原來第三級嘛要負擔三成啦 約三成啦
transcript.whisperx[377].start 10731.531
transcript.whisperx[377].end 10753.753
transcript.whisperx[377].text 現在有部會要求到第五層有要求到五層請你 確實沒有這件事情對不對確實也沒有這個要求對不對目前是我們沒有做這樣的要求你們自己沒有 你有沒有要求其他部會這樣做沒有沒有嘛 如果真的沒有要對外澄清不然請你要詢問給各個部會啊他們怎麼可以不依法行政啊現在中央單位都可以亂套喔
transcript.whisperx[378].start 10755.194
transcript.whisperx[378].end 10782.966
transcript.whisperx[378].text 想要發文說五成就五成 想要給地方說你七成就七成 可以這樣子嗎但是院長在院會裡面 補助都是要依法行政啊院長在院會裡面有說明說補助款的部分先行凍結50%我說的是自籌款的部分嘛所有東西要依法行政嘛補助先凍結50%是有做這樣的一個說法我說的不是現在的 我說的是比如說你有個計畫上來嘛 對不對你本來是7比3嘛 你現在竟然要求人家50嘛
transcript.whisperx[379].start 10784.207
transcript.whisperx[379].end 10796.003
transcript.whisperx[379].text 這是不對的嘛因為你們還沒有修你們不能這樣做吧你們是不是要依法行政我們沒有這樣子修我們說你啦你沒有問題我們說主計是你們既然沒有修其他各位你應該發文給各個部會啊
transcript.whisperx[380].start 10798.81
transcript.whisperx[380].end 10822.898
transcript.whisperx[380].text 因為你們每個部會都有主計人員啊如果有的部會沒這樣做這樣他是不是違法不是因為現在是院長是說先凍結我知道你說的是那個因為114年度被刪減的情形要做調停我知道你說的是什麼我說但是我們財化法還沒有實施喔財化法還沒有實施喔這是另外一件事對不對這兩件事嘛所以我現在說的是自籌款的部分嘛我是可以請你跟各個部會通令啊
transcript.whisperx[381].start 10824.241
transcript.whisperx[381].end 10837.779
transcript.whisperx[381].text 對不對 財化如果以後你要改成說要比例可能要調整你們會考慮那當然你們後面應該依法做嘛現在還沒有以前你們部應該這樣做是不是要通令你要請你的主計人員在各個部會的啊問他各個部會有沒有做這樣違法的事情這是違法欸
transcript.whisperx[382].start 10839.22
transcript.whisperx[382].end 10864.057
transcript.whisperx[382].text 難道可以一個部長我隨便舉例隨便隨便某某部長就是說我比較喜歡某個縣市我就要求他這個只要自籌20%我最討厭這個縣市他就要加到70%不可以嘛政府有法令對不對所以你是不是要通令我要求啦通令請各個單位要按照現在的法令行政嘛現在有財力分級嘛對吧是不是可以這樣做
transcript.whisperx[383].start 10865.863
transcript.whisperx[383].end 10894.017
transcript.whisperx[383].text 這個部分因為是行政院規範的不是我所以這個部分我們也可以向行政院來說明清楚其他部會違法你們裡面主計的人不用追究嗎那我要求一件事就好了好不好你請幫我了解給我資料各個部會因為你們都有主計的人有哪些部會做了這樣的事情違法要求地方給比較多超過原來他財力分級的部分一個月給我各個部會的資料
transcript.whisperx[384].start 10894.437
transcript.whisperx[384].end 10895.798
transcript.whisperx[384].text 好 謝謝陳委員的諮詢下一位請黃珊珊委員諮詢 請
transcript.whisperx[385].start 10923.837
transcript.whisperx[385].end 10924.878
transcript.whisperx[385].text 請主席長 還有財政部阮次長兩位好我想
transcript.whisperx[386].start 10947.472
transcript.whisperx[386].end 10962.941
transcript.whisperx[386].text 主席長跟財政部在3月12號立法院否決了《財化法》復議案當天本席在質詢院長的時候院長手上說他有一個行政院的版本請問兩位你們看過行政院的版本了嗎院長手上那個版本你看過了沒沒有主席長你看過了沒我們有討論過有討論過你看過版本沒
transcript.whisperx[387].start 10978.638
transcript.whisperx[387].end 11006.549
transcript.whisperx[387].text 所以財政部也沒看過版本但是就在院長手上財政部次長沒看過版本沒有看過這個版本沒有看過版本所以意思就是說院長拿了一個空包彈來立法院欺騙我們所有的委員嗎財化法的架構是有交換意見所以從頭到尾行政院到現在還沒有任何的版本所以院長說他有版本要跟立法院討論目前為止還是空談重點是
transcript.whisperx[388].start 11009.141
transcript.whisperx[388].end 11032.606
transcript.whisperx[388].text 我想問一下 復議案到現在 上個禮拜通過今天正式實施 上個禮拜五正式公告今天開始115年的預算編列就在眼前我想問一下兩位 尤其是主席長 請問適用新法就應該按照新法來編列 是嗎
transcript.whisperx[389].start 11035.608
transcript.whisperx[389].end 11062.702
transcript.whisperx[389].text 這個部分我們也有跟相關法規去請示過我在問你法律法律通過了要不要執行它生效是114年但是因為整個一個流程因為你還沒有編嘛所以你要編115年我沒有在問你114年嘛所以115年的預算正要編要怎麼編是用新法來編就要用新的財政收支劃分法來編是吧
transcript.whisperx[390].start 11063.632
transcript.whisperx[390].end 11064.273
transcript.whisperx[390].text 兩位沒有要回答我嗎
transcript.whisperx[391].start 11087.605
transcript.whisperx[391].end 11112.351
transcript.whisperx[391].text 統籌分配稅款是這樣就是說在每一個會計年度之前的四個月它就要分配下去所以就114年度來講時間已經過了所以沒辦法再分配我沒有跟你講114我現在問你的115年現在地方政府正要開始編請問財政部他們要怎麼編那就前提就看我們財務法有沒有生效剛剛講了今天已經生效了
transcript.whisperx[392].start 11117.132
transcript.whisperx[392].end 11141.003
transcript.whisperx[392].text 已經公告了所以次長啊你現在在這裡他已經生效了不要再跟我講生不生效的問題假定我們的相關的黨團好啦我現在只問說地方政府是不是還要等到你們要去申請釋憲要去復印要去大罷免然後編兩套預算本啊一個是舊法的一個是新法的他是不是要編兩套預算
transcript.whisperx[393].start 11141.883
transcript.whisperx[393].end 11154.16
transcript.whisperx[393].text 版本才可以來因應接下去的預算編列尤其是到七月八月就要送到立法機關去審議啦財政部要不要告訴一下地方政府他們該怎麼辦
transcript.whisperx[394].start 11155.782
transcript.whisperx[394].end 11180.098
transcript.whisperx[394].text 基本上我剛才也跟委員報告過就是說目前當然已經生效但生效的前提就是說我現在就問你生效之後你們要不要照辦嘛不辦就說不辦不辦就說地方政府你編兩套一套是按照新法一套是按照舊法現在說清楚講明白如果沒有申請暫時處分也沒有釋憲的話當然一定要按照生效的所以現在是三月快三月底了
transcript.whisperx[395].start 11180.698
transcript.whisperx[395].end 11210.136
transcript.whisperx[395].text 四月五月你的如果会到几月预算编列不可能等到你们相关的如果发生了解所以时间点第二个地方政府现在到底有多少不知道财政部不想用新法来分配当然我知道你们只想去罢免重点是财政部你是行政机关次长你是重要的政务单位所以你们要告诉地方政府该怎么编吧
transcript.whisperx[396].start 11210.498
transcript.whisperx[396].end 11239.753
transcript.whisperx[396].text 基本上跟委員報告基本上我們依法行政法通過了不執行就違法如果它已經正式生效那當然我們一定要依法來執行至少不要再說如果它今天就正式生效今天現在你要不要告訴我一下地方政府該怎麼辦地方政府那部分因為它是下一個會計年度的四個月之前我們才有分配法所以你要告訴他說依照新通過的法律去編列吧
transcript.whisperx[397].start 11242.657
transcript.whisperx[397].end 11267.814
transcript.whisperx[397].text 所以你是要告訴我說中央的主管機關可以告訴地方政府你不用按照新法去編列時間還沒到到時候再看看這個國家因為行政院這樣的態度因為行政院完全不想要把這個版本拿出來跟立法院討論
transcript.whisperx[398].start 11271.175
transcript.whisperx[398].end 11299.405
transcript.whisperx[398].text 政黨繼續火車對撞繼續魚死網破讓國家停擺這才是我今天看到行政院的態度財政部從來沒有放棄繼續在修法我再說一下很好笑你們3月6號不是開了一個會然後我們跟你們調資料你知道國庫署打電話復議案通過之後國庫署打來說請問辦公室還要不要資料意思就是說復議案通過了立法委員
transcript.whisperx[399].start 11300.717
transcript.whisperx[399].end 11325.789
transcript.whisperx[399].text 要你們3月6號的所謂的徵詢會議資料已經不用提供了然後徵詢會議也沒有意義了是嗎不會我了解是沒有這種情況如果委員需要這個資料那個會議記錄的話我們會後會提供這沒有問題的是啊所以他打電話來問我要不要資料要資料就是要資料第二個你們的所謂的徵詢會議開了多少次啊
transcript.whisperx[400].start 11326.431
transcript.whisperx[400].end 11349.16
transcript.whisperx[400].text 我們現在開了三次 已經開了第三次從去年到現在開過幾次啊開過三次所以今一次是3月6號是由主席長所以去年立法院叫你們去提版本到今年你們只開過三次徵詢會議問地方政府 問了三次都沒有答案所以就不提版本 是嗎我跟委員報告了
transcript.whisperx[401].start 11351.161
transcript.whisperx[401].end 11368.453
transcript.whisperx[401].text 財政劃分法是我們中央跟地方財政收支劃分的我現在只想說,接下去115年的預算就在眼前我希望你一個月之內告訴我,告訴地方政府該怎麼編列你們要復業也好,你們要行政儲備也好
transcript.whisperx[402].start 11369.81
transcript.whisperx[402].end 11395.944
transcript.whisperx[402].text 明白的告訴大家第二個不要讓院長拿了一個假的版本在立法院說我手上就有版本如果一個連財政部連主計處都沒看過的版本然後院長在立法院公開的回答委員說我手上就是版本到今天為止我很希望看到那個版本結果連你們也沒看過我們也沒看過全世界都沒看過但是行政院說我有版本他不拿給我們
transcript.whisperx[403].start 11397.267
transcript.whisperx[403].end 11425.182
transcript.whisperx[403].text 只拿去外面宣講這是一個負責任的政府嗎拿去外面宣講不願意拿給要投附議票同不同意的立法委員來參考認為立法院一定不會通過如果你們有好的版本為什麼不爭取大家的支持這才是問題啊次長我給你一個月的時間115年的預算怎麼編要如何編接下來我想問一下主計長
transcript.whisperx[404].start 11426.57
transcript.whisperx[404].end 11452.393
transcript.whisperx[404].text 我們接下去賴信德總統說我們被美國點名了我們要達到GDP3%的國防預算如果按照計算的話我們3%將近要8000億現在國防支出大概是6000多億所以還要再續編1500億左右請問會提出特別預算會提出相關的這個裁員來源嗎
transcript.whisperx[405].start 11454.535
transcript.whisperx[405].end 11473.63
transcript.whisperx[405].text 這個部分我們就要看國防部他那個什麼時候會提還不知道什麼時候要提因為有時候就是說我縱使要維持百分之三我也沒辦法每一年都打百分之三所以今年不知道第二個如果要提這多提了一千五百億的話請問要舉債嗎
transcript.whisperx[406].start 11477.458
transcript.whisperx[406].end 11491.293
transcript.whisperx[406].text 目前原則上我們先規劃說是用一個累積剩餘來做你現在稅制剩餘剩多少?你現在稅制剩餘只剩下一千多億了是嗎?我們目前
transcript.whisperx[407].start 11492.955
transcript.whisperx[407].end 11499.078
transcript.whisperx[407].text 113年是1581但是大概累積起來應該還有將近2000多億可以用2000多億可以用所以暫時不會舉債來編這個特別預算原則上希望不要舉債那如果非得舉債也是應該要舉債所以你同意我們現在大家都希望說超徵的金額要拿來補發現金那接下去又編了這麼多可能要新增的預算請問你這個
transcript.whisperx[408].start 11520.948
transcript.whisperx[408].end 11545.615
transcript.whisperx[408].text 掌握國家財政調度的主計長你這個要怎麼調配啊所以我們不希望說限定說哪些預算裡面限定哪些哪些是限定所以我們就可以按優先順序來做排列來做調整以上好所以現在財政部還有一個問題就是計劃性補助款是財政部在預算裡面很重要的調節所謂地方差異的狀況來時間暫停我請
transcript.whisperx[409].start 11549.502
transcript.whisperx[409].end 11575.401
transcript.whisperx[409].text 所以財政部的計劃性補助款就像剛剛陳玉珍委員問的會不會有類似剛剛上述所言因為財化法的修正而有這樣子的差別待遇財政部據我了解計劃型的預算不是我們財政部這邊所以各單位來負責希望不要有任何所謂的差別待遇好嗎 謝謝好 謝謝黃委員的資訊下面請王世堅委員發言
transcript.whisperx[410].start 11582.588
transcript.whisperx[410].end 11582.908
transcript.whisperx[410].text 我們11點50開始發送便當謝謝主席 我請陳組長
transcript.whisperx[411].start 11603.636
transcript.whisperx[411].end 11622.267
transcript.whisperx[411].text 主席 剛才新聞在我們質詢前你在回答前幾位委員的時候你等於就新聞做的解釋就是說大概就是確定要普發現金一萬元所以我不懂我們後續還要質詢你什麼我覺得那樣子的報導如果
transcript.whisperx[412].start 11623.308
transcript.whisperx[412].end 11652.122
transcript.whisperx[412].text 曲解了你的意思我認為你應該適度的澄清剛才幾家主流媒體都已經這樣報導了我希望你那麼如果啦我簡單講如果都要發現金那主席黨我現在就可以告訴你那乾脆三兆一千億就普發給兩千三百萬人民政府解算算了嘛不是嗎解算算了啊
transcript.whisperx[413].start 11653.393
transcript.whisperx[413].end 11662.398
transcript.whisperx[413].text 那不是全民皆大歡喜 可以這樣子嗎我跟你講 我認為啦推行有效率的政策才是還稅於民不是這樣嗎所以我今天跟你要求的第一點
transcript.whisperx[414].start 11677.95
transcript.whisperx[414].end 11684.294
transcript.whisperx[414].text 我要求你主計處你要有擔當不要再講一些不痛不癢的話不要認為說發發現金好啦這個也無傷大雅錯了要發現金可以
transcript.whisperx[415].start 11697.813
transcript.whisperx[415].end 11709.07
transcript.whisperx[415].text 那要特別條例而不是設在預算法去把整個預算法是把我們所有收入預算常態化耶你看過去
transcript.whisperx[416].start 11710.666
transcript.whisperx[416].end 11733.941
transcript.whisperx[416].text 蔡英文總統的時候發了幾次人家是因為有疫情疫後有特別條例也經過全民多數的民眾的民意不是這樣嗎那如果今天我們是要修預算法增加這個條例基本上常態化就是不對了嘛這一點你一定要堅持啊
transcript.whisperx[417].start 11734.341
transcript.whisperx[417].end 11757.23
transcript.whisperx[417].text 是所以我希望你有擔當擔起來而且最短時間內做出決策不要讓在這個事情讓大家政府也好民間也好心裡有疙瘩大家為了這個事情爭論不休 忐忑不安我認為不要這個樣子第二點我要告訴你的就是說倒是倒是我們要來
transcript.whisperx[418].start 11763.559
transcript.whisperx[418].end 11781.836
transcript.whisperx[418].text 這個推動有益的政策啦我認為應該編列特別條例特別預算來針對貼補台電貼補勞健保的缺口貼補長照基金這才是有意義的啊不是這樣嗎我舉勞保就好勞保預估2070年
transcript.whisperx[419].start 11786.397
transcript.whisperx[419].end 11799.3
transcript.whisperx[419].text 我們的基金總數將是餘額將是負的71.4兆那將就我們國家EDB的三倍天啊天啊
transcript.whisperx[420].start 11800.199
transcript.whisperx[420].end 11828.77
transcript.whisperx[420].text 所以這個貼補勞保健保這才是應當貼補台電這一次給他們台電一千億這樣免於電價漲價如果政府吸收一千億給台電那就是一千億如果政府不貼補不吸收放給民間去漲的話那就不會是一千億那會變成兩千億三千億的社會負擔所以這個
transcript.whisperx[421].start 11830.231
transcript.whisperx[421].end 11848.018
transcript.whisperx[421].text 非常要緊不是嗎還有我們長照基金啊長照基金哇也是一個非常大的缺口啦我相信你已經知道嘛長照基金去年的基金來源如果不付出啊去年基金來源776億結果實際
transcript.whisperx[422].start 11850.979
transcript.whisperx[422].end 11875.04
transcript.whisperx[422].text 支出高達828億今年你們預估基金來人752億但是用途支出更高達879億不是這樣嗎所以如果照這個預算的話那2028年長照基金就完全用完不是嗎所以我認為這些有意義的政策
transcript.whisperx[423].start 11876.567
transcript.whisperx[423].end 11902.845
transcript.whisperx[423].text 才是真的還稅於民這也是我們設政府的目的是不是那你的看法呢第一點我真的你剛才電視主流媒體普遍報導的說等於啊政府已經做了這個打算了大概現在正在作業當中八月左右完成大概九月要發這個部分你要先澄清啊你的看法呢
transcript.whisperx[424].start 11903.445
transcript.whisperx[424].end 11931.006
transcript.whisperx[424].text 其實我們原則上我們都是不支持他發放現金常態化依照發放現金他有特殊的目的所以以往都是訂特別條例然後之後通過之後才編列預算所以這個部分如果常態化的話他整個影響整個預算的一個執行的彈性所以我們原則上我們是不支持的對那所以你更正囉所謂的九月可能發放現金
transcript.whisperx[425].start 11934.622
transcript.whisperx[425].end 11958.172
transcript.whisperx[425].text 你的看法呢你要講得更明確一點啊我知道當然不支持啊常態化就我剛剛講嘛常態化無法保持政府對預算運用的彈性嘛我們會碰到很多社會經濟情勢的變化碰到重大的災情啊等等啊不是嗎疫情啊所以當然不要常態化這是一定的
transcript.whisperx[426].start 11959.188
transcript.whisperx[426].end 11969.527
transcript.whisperx[426].text 是但是你要針對我說你今天上午剛才被報導的這個啦九月講得很明九月就要發放現金你的看法呢
transcript.whisperx[427].start 11970.114
transcript.whisperx[427].end 11995.373
transcript.whisperx[427].text 不是 因為我們是說整個一個政策一個優先順序的排列必須由各部會來跟院長報告由院長來做裁示我們當時的部分是說這整個的一個政策是不是要列入政策還是那發放現金一萬元也是你們要跟院長報告的所謂政策之一囉你們決定的因為發放現金不是我們在負責主導但是他現在要修改一個預算法我們是認為我跟你講喔
transcript.whisperx[428].start 11996.534
transcript.whisperx[428].end 12006.588
transcript.whisperx[428].text 那個主技術還有幾項其實我就舉你們很多預估其實錯誤你們預估去年的GDP最早在前年底的時候你們最早預估的時候說3.35%
transcript.whisperx[429].start 12008.975
transcript.whisperx[429].end 12036.276
transcript.whisperx[429].text 結果幾次修正以後有提高去年GDP多少4.59%跟你原始的預估差了一點多那我為什麼提這件事情那個主計處我為什麼提這個事情你說三減預算導致政府支出減少導致我們GDP可能下降但是那個差0點多而已所以我是要告訴你第一點我們政府現在財政部
transcript.whisperx[430].start 12037.082
transcript.whisperx[430].end 12053.349
transcript.whisperx[430].text 我先前質詢之後人家財政部已經積極去推動乙類公債要把我們在海外的授權資金引進回台灣加速台灣的公共建設第二點金管會也通過啦不動產證券化REACH
transcript.whisperx[431].start 12055.13
transcript.whisperx[431].end 12078.653
transcript.whisperx[431].text 歷史這個已經條例也通過要這麼做 也是引進民間資金當有這兩大民間資金的來源進駐到 溢出到我們國內建設的時候我相信我們的GDP會更樂觀那更樂觀的結果 那我們就不必發現金不是嗎那是因為疫情導致GDP下降
transcript.whisperx[432].start 12079.674
transcript.whisperx[432].end 12097.516
transcript.whisperx[432].text 所以政府才發放現金嘛所以你講的這個預算去影響到GDP導致政府支出去下滑影響GDP第一個我認為那個為無期為第二個你的下滑運送的需要需要發現金了嘛不是嗎所以我希望主技術
transcript.whisperx[433].start 12100.421
transcript.whisperx[433].end 12114.891
transcript.whisperx[433].text 你不必做任何遮掩你不必為任何已經既定的方向不必你就據實以告好不好因為我看你的個性你也是一個很坦然的人啊我看你先前的做事也是這樣嘛
transcript.whisperx[434].start 12116.493
transcript.whisperx[434].end 12131.489
transcript.whisperx[434].text 我們就正大光明坦坦然然的面對事實證據還有數據我希望這個數據不要再那麼離譜可不可以你去看一下你前年底你就講3.35嘛
transcript.whisperx[435].start 12133.479
transcript.whisperx[435].end 12160.487
transcript.whisperx[435].text 你歷來一直修正結果最後4.59差了1.24這個不可謂不大那我希望在這個部分你收回今天早上如果我們這些媒體的報導是曲解的話我希望待會修會之後你就跟這些媒體溝通希望他們收回這樣子的報導因為事實上
transcript.whisperx[436].start 12161.516
transcript.whisperx[436].end 12176.813
transcript.whisperx[436].text 沒有這樣子的一回事說確定啦就是要發放啦就是已經作業中啦然後9月要發放這是給我們社會不必要的莫名其妙的額外的一種
transcript.whisperx[437].start 12177.89
transcript.whisperx[437].end 12206.558
transcript.whisperx[437].text 期待不必要這麼做好不好主計處的任務就是實話實說那精準的數據掌握跟分析然後忠實的向社會大眾報告然後做出應有的政府決策可不可以好不好主計長送你四個字啦認作
transcript.whisperx[438].start 12207.677
transcript.whisperx[438].end 12215.482
transcript.whisperx[438].text 道遠謝謝 謝謝委員好 謝謝王委員的質詢 下一位請李坤城委員質詢請謝謝主席主席長要先喝口水嗎不用 那就請主席長主席長請
transcript.whisperx[439].start 12234.81
transcript.whisperx[439].end 12262.3
transcript.whisperx[439].text 委員好主席好辛苦了這個我先提問的問題跟剛剛這個王世堅委員的提問是一樣的因為剛剛看到報導很多這個新聞媒體的標題都寫著說最快今年九月就可以領到普發現金一萬塊了他們說是從你的資料上面推估出來的你的資料上面有寫說115年度的中央政府總預算案將於本年的八月底前送大院審議
transcript.whisperx[440].start 12263.76
transcript.whisperx[440].end 12283.622
transcript.whisperx[440].text 那他是從這個推斷出來說全民最快可以到九月領到普發現金一萬塊還是剛剛你有回答了這個委員的質詢當中你有提到說最快九月可以領到現金一萬塊沒有 因為我是說這個政策的決定是要由院長來決定但是如果說這個部分預算法要把它
transcript.whisperx[441].start 12284.122
transcript.whisperx[441].end 12305.791
transcript.whisperx[441].text 修正為常態化來劃現金這個部分是不可行我們是建議不要如此來做所以主計總署的建議是說不希望發現金常態化所以對於等一下有可能會討論到的這個預算法的修正案主計總署的看法 主計長的看法咧
transcript.whisperx[442].start 12306.571
transcript.whisperx[442].end 12327.145
transcript.whisperx[442].text 因為他花現金常態化以後就失去了彈性而且花現金是針對特殊的一個目的所以我們都訂特別的條例來執行等特別條例通過以後我們才來編預算好那所以第一個主席是不支持這個運算法的這個修正案在議長所提的這個修正案就對了
transcript.whisperx[443].start 12328.1
transcript.whisperx[443].end 12340.878
transcript.whisperx[443].text 我們原則上是不希望這樣子來修正因為這樣修正讓我們以後的一個政策就比較執行就沒有彈性好那第二個也沒有所謂的九月之後就可以連到普發現金一萬塊
transcript.whisperx[444].start 12342.185
transcript.whisperx[444].end 12356.469
transcript.whisperx[444].text 我覺得這個要說明一下因為我看到很多媒體的標都寫成這樣子114年度的預算現在執行了我們不可能在9月發現金所以這個部分那再來另外如果115年的部分現在目前還沒有籌編預算還沒有籌編
transcript.whisperx[445].start 12358.871
transcript.whisperx[445].end 12381.969
transcript.whisperx[445].text 那我想你已經說得很清楚了也讓很多媒體更了解說這個主計長的說法是怎麼樣好 那我再請教一下主計長首先我先肯定你就是說我也鼓勵我們的內閣的閣員能夠下鄉去跟民眾把政策說清楚所以不論是這個主計長或是其他的內閣閣員
transcript.whisperx[446].start 12383.61
transcript.whisperx[446].end 12403.621
transcript.whisperx[446].text 在這個行政院有哪些政策需要跟民眾說得清楚那行政院因為有什麼樣的預算受到了刪減以至於呢沒辦法做到哪些事情哪些建設遇到了阻礙我都希望除了在立法院說明之外能夠下項去說清楚所以我是肯定這個主計長包含其他的內閣的閣員到這個
transcript.whisperx[447].start 12406.863
transcript.whisperx[447].end 12428.88
transcript.whisperx[447].text 下鄉去把這個政策說清楚我也歡迎3月30號我們在板橋下午2點又舉辦一個說明會主席長有空也歡迎主席長過來我們把這個政策把它說清楚那個請教一下這個總統在3月21號的時候已經公佈了這個總預算跟才化法了
transcript.whisperx[448].start 12430.762
transcript.whisperx[448].end 12452.341
transcript.whisperx[448].text 在公布之前那當然行政院有提出這個致愛難行的理由那不過很可惜副議案沒有過那您提出的這個行政院所提出來這個致愛難行的理由也包括第一個這一次的總運算並沒有這個最後並沒有這個宣告出來說這個三減數的金額跟稅數的總額沒有嘛對不對
transcript.whisperx[449].start 12455.682
transcript.whisperx[449].end 12469.35
transcript.whisperx[449].text 這過去都沒有嘛過去都會說你三減的金額是多少總三減金額是多少稅數總額是多少今年沒有沒有那這個還有一個自行調整的差了636億元嘛對不對那請問一下這636億怎麼辦
transcript.whisperx[450].start 12474.741
transcript.whisperx[450].end 12500.082
transcript.whisperx[450].text 所以這個部分我們要進行刪減部分這個部分是有困難的所以我們要整個要詢問給立法院來跟他報告說這個部分是不是可以進行協商或者是說我將來如果說要怎麼樣來做這個部分的一個刪減或者是刪減以後要將來如何追加這個部分都是需要協商的一個部分所以理論上
transcript.whisperx[451].start 12501.624
transcript.whisperx[451].end 12518.906
transcript.whisperx[451].text 這個立法委員審議預算覺得說哪個預算有問題這邊刪那邊刪,師出有名嘛那我看到其實那天在審討預算的時候我覺得說那所謂的這個自行調整有差了這636億我就不知道說讓你們要怎麼自行去做調整啊
transcript.whisperx[452].start 12520.087
transcript.whisperx[452].end 12543.259
transcript.whisperx[452].text 因為這個東西已經嚴重的限制到行政權力嘛對不對調整是有困難的所以如果真正刪減之後可能造成某一部分的執行或者業務執行非常的困難要刪誰的?請問要刪誰的?要刪交通部的?要刪內政部的?這沒有辦法去做決定嘛所以主席老師說這個會在行文給立法院
transcript.whisperx[453].start 12544.139
transcript.whisperx[453].end 12566.033
transcript.whisperx[453].text 要做這個636億要怎麼樣去做對 進行請立法院來協助那大概哪時候會行文到立法院大概近期就會發文了然後呢 因為治安難行嘛我看這個監察院他們已經致力救濟了他們預計要在今天提出這個釋憲跟暫時處分那請問一下行政院後續的救濟途徑
transcript.whisperx[454].start 12568.359
transcript.whisperx[454].end 12595.304
transcript.whisperx[454].text 原則上這個部分因為監察院呢它是有一些是3到0所以它有一些水電費啊相關的一個費用它支付有困難那所以這個部分呢因為事實上如果要等到6月份追加預算通過的話它還是時間太長所以我們在這當中我們就先會報請行政院來動之第二預備金來做支印那暫時支印到6月份然後等到追加預算如果有通過再行來把它補足
transcript.whisperx[455].start 12596.383
transcript.whisperx[455].end 12611.665
transcript.whisperx[455].text 所以現在這部分的話就是先用這個動資第二預備金就對了我們會報行政院來申請動資第二預備金這個流程然後再來會再辦理追加預算的一個部分目前行政院的救濟程序是這樣子
transcript.whisperx[456].start 12612.772
transcript.whisperx[456].end 12640.166
transcript.whisperx[456].text 另外一個救濟的一個途徑是怎麼樣這個部分我也必須要看行政院整個一個它一個研議的一個情形就你們的部分來講就是第二預備金那請問一下因為我看有很多的這個預算案的解凍的條件複雜度也蠻高難度也蠻高的說要用到這個凍結70%要執行30%之後才可以用那有些在委員會有些還要在院會
transcript.whisperx[457].start 12641.686
transcript.whisperx[457].end 12667.84
transcript.whisperx[457].text 請問一下主計總署這個有沒有這個刪除或凍結預算在這裡有我們凍結40%然後要用到剩下說就是等於說執行到這個部分才能夠去報請凍結那當中就有時間的落差那時候有一些業務就沒有辦法那你們可以提早送來立法院嗎因為我看很多委員他們現在或許有罷免的壓力了
transcript.whisperx[458].start 12669.04
transcript.whisperx[458].end 12685.568
transcript.whisperx[458].text 還沒有說我們沒有刪除只是凍結啊趕快送來立法院我們解凍就好啦報告委員院長有下令大概一個月內全部把凍結的案子報到立法院請求我希望你們各部會都把被凍結的預算送來立法院是
transcript.whisperx[459].start 12686.848
transcript.whisperx[459].end 12713.38
transcript.whisperx[459].text 這個雖然它有規定說你要用到多少才能報但是我認為緩不及急而且這個政策是有延續性的啊怎麼可能說我剛好用到30%最後再用70%不可能嘛希望在一個月之內把這些解凍案送來立法院我相信這個大家都可以看因為我看到很多國民黨的立委現在在這地方講沒有啊我們沒有刪除只是凍結啊好凍結那就來解凍看哪個委員不同意凍結嘛
transcript.whisperx[460].start 12715.261
transcript.whisperx[460].end 12723.692
transcript.whisperx[460].text 不要在這個地方上是說了一套在立法院就說的是另外一套好 那再請教一下這個 足跡總數預測今年的經濟成長率是3.14%
transcript.whisperx[461].start 12727.762
transcript.whisperx[461].end 12745.896
transcript.whisperx[461].text 那中央銀行是下修啦到3.05%因為央行總裁是認為說這個美國經貿政策的不確定性有提高那我請問一下你比較樂觀也是3.14%但是如果凍結預算刪除預算對GDP有沒有影響
transcript.whisperx[462].start 12747.133
transcript.whisperx[462].end 12766.832
transcript.whisperx[462].text 有 有影響有什麼樣的影響就是因為我們本身一個如果資本性的一個支出被刪減了那將來投資就會減少那這個整個譬如說公共建設的部分減少那也會有影響那所以這個部分呢影響的雖然就是說等於說影響差不多0.15%左右啦
transcript.whisperx[463].start 12767.492
transcript.whisperx[463].end 12785.438
transcript.whisperx[463].text 那但是這個還有一個636這個部分我們是還沒有把它估進去那這個部分如果再估進去還是會有影響0.2到0.3左右那這個部分呢我們如果將來有再追加它就會回來如果沒有那就是會影響到GDP整個一個情形
transcript.whisperx[464].start 12787.318
transcript.whisperx[464].end 12796.142
transcript.whisperx[464].text 那所以本來是預估3.14%嘛那我看你比較樂觀但是呢如果是東扣西扣有被刪除的預算有被凍結的預算那還有636億不知道怎麼辦
transcript.whisperx[465].start 12800.848
transcript.whisperx[465].end 12821.86
transcript.whisperx[465].text 扣掉這些之後你還能樂觀的說能夠維持在3%以上嗎因為這個部分目前就是說原來那個美國的一個部分這個變動的因素也還沒有完全扣進去所以這個部分但是我們一二月的出口的狀況非常的好所以這個部分應該我們今年的一個經濟是穩定的成長的
transcript.whisperx[466].start 12823.246
transcript.whisperx[466].end 12847.565
transcript.whisperx[466].text 但是整個凍結跟刪除預算大概你這樣加一加大概會影響到幾%大概0.2到0.3左右0.2到0.3那扣掉的話就沒有3了啊保3就很難啊我們會盡量這個部分因為像出口部分是狀況即使是今年真的還不錯一二月都還不錯那再請教一下最後一個問題在野黨現在要砍掉2000億台電的補助對於CPI有沒有影響
transcript.whisperx[467].start 12850.708
transcript.whisperx[467].end 12863.624
transcript.whisperx[467].text 時間到了再三十秒讓主界長來回答一下就好了也是會有影響大概有可能如果這樣的話有可能會超過二啦不會超過二就對了謝謝李文的資訊下一位請顏光文資訊
transcript.whisperx[468].start 12870.011
transcript.whisperx[468].end 12895.668
transcript.whisperx[468].text 跟組織黨報告啊你不可以針對不同委員的答案不一樣啊我剛才問你的時候就講追加減預算PLUS第二億北京你都說不行結果對李坤誠你都說行怎麼會這樣子呢這點答案到底是行不行對不對你剛才面對我我執行你你就說不行這個不行那個不行通通不行李坤誠一來通通行
transcript.whisperx[469].start 12897.671
transcript.whisperx[469].end 12921.842
transcript.whisperx[469].text 我對陳哲和主席講 我對你是很尊重的怎麼會不同的委員 答案不一樣來源北側啊 到底行不行啊 對不對 通可以通可以一般委員講話 我是尊重的 我是不插嘴的但是因為你對李昆城的答案跟我的答案一模一樣的問題答案完全不一樣
transcript.whisperx[470].start 12923.154
transcript.whisperx[470].end 12949.279
transcript.whisperx[470].text 李昆賢就完全可以 賴思寶就完全不可以到底是怎麼樣 你是中華民國主席長啊 你不是民進黨主席長啊好不好 請沒有 我沒有執政你言論啦 我是執政他我不跟你 我尊重你講話好不好 我尊重你講話
transcript.whisperx[471].start 12952.059
transcript.whisperx[471].end 12978.579
transcript.whisperx[471].text 我當主席到現在 第一次插嘴這個是他的問題跟你沒有關係跟你沒有關係 你不要對他入座跟你沒有關係 OK不是 因為他對你的答案跟我你去吊錄音帶 因為問的問題完全一樣問的問題完全一樣結果他給了答案 說不可以給你答案就可以 好不好 我們繼續執行 繼續執行
transcript.whisperx[472].start 12980.182
transcript.whisperx[472].end 12983.024
transcript.whisperx[472].text 我國的整體經濟發展國人的努力是有目共睹的但是最近主計處
transcript.whisperx[473].start 13000.083
transcript.whisperx[473].end 13023.085
transcript.whisperx[473].text 把今年的經濟成長由原本預測的3.29%下修至3.14%然後說預算遭三減是重要的原因之一你還放話說如果日後追加預算不如預期還會再調降我在這邊要鄭重的跟主席總署說不要恐嚇人民無端的製造恐慌各大智庫最近都上修了我國的經濟成長
transcript.whisperx[474].start 13024.557
transcript.whisperx[474].end 13047.824
transcript.whisperx[474].text 你們自己公布的資料也顯示今年的經濟活力要比原本預測來得好民間消費 民間投資 出口等成長率全數上修那出口預測甚至比原預測多出了58億美金我們都有明白一個道理內需外貿成長都調升那經濟成長應該要上修哪裡會調降主計總署本次發布的經濟預測媒體的報導都落在
transcript.whisperx[475].start 13051.658
transcript.whisperx[475].end 13070.606
transcript.whisperx[475].text 三預算削弱成長動能 總預算遭三減 經濟難保三總預算遭三 主計總署下修今年經濟成長沒有人可以認同主委長 難道你要放任一個本應具有公信力的統計機關這樣子造謠恐嚇民眾嗎
transcript.whisperx[476].start 13074.056
transcript.whisperx[476].end 13091.633
transcript.whisperx[476].text 那我再問就是說你們這一次將經濟成長從3.29%下修到3.14%理由之一是總預算遭刪減那未來總預算的追加不如預測還會再調降我想要請你告訴我你們自己公布的數據上顯示民間消費還有這個
transcript.whisperx[477].start 13098.351
transcript.whisperx[477].end 13121.03
transcript.whisperx[477].text 民間投資出口上修民間投資出口等都比預測值也比原來多58億美金那民間投資方面國內外智庫也都上修了台灣的投資成長預測既然內需外貿都向上調整那請問經濟成長率為什麼不是向上而是向下主委長你說一下
transcript.whisperx[478].start 13122.501
transcript.whisperx[478].end 13150.664
transcript.whisperx[478].text 報告委員因為我們去年經濟成長的數字它已經墊高了所以你相對比較起來今年的數字就會下降那這是主要的因素啦當然預算影響是一點點墊高的時候我才說像人家央行它上個禮拜的這個禮監事會議它公佈的下修2025的經濟成長率為3.05它的理由是有點有據啊它有實際的說明說去年成長率優於預期嘛
transcript.whisperx[479].start 13151.204
transcript.whisperx[479].end 13173.86
transcript.whisperx[479].text 所以這個就是說他整個電高了機器電高了所以才會做這樣子下去你不是啊你把理由說成是總預算稍三減啦所以政府台灣的經濟發展是要靠政府來帶動政府的支出來帶動嗎是這樣子嗎所以我才說人家央行有直接把這些理由都說明清楚但是主席長
transcript.whisperx[480].start 13174.6
transcript.whisperx[480].end 13190.84
transcript.whisperx[480].text 我們這邊沒有嘛 對不對你甚至於說用這種方法來製造恐慌總預算遭刪除但是我們被刪除的總預算仍然是史上最高的規模啊大家都知道啊 對不對2.9兆之外再加上超徵的5200多億
transcript.whisperx[481].start 13193.998
transcript.whisperx[481].end 13209.108
transcript.whisperx[481].text 這個預算規模是有史以來最高的嘛但是你們對外發布的媒體的標題全部都是刪減這個預算削弱成長動能總預算遭刪減經濟難保三這些話都是你們放出來的啊不是嗎 主席長
transcript.whisperx[482].start 13210.041
transcript.whisperx[482].end 13237.483
transcript.whisperx[482].text 跟委員說明一下因為這個部分重點是說因為去年的經濟成長表現很良好所以整個基數墊高這是最主要的因素但是但是有人也問說你預算刪減有沒有影響我說也有影響也有影響嘛但是影響的數值不是那麼的大是比較小的是這樣但是這樣子的話我大概把它還原原來的一個這個
transcript.whisperx[483].start 13240.406
transcript.whisperx[483].end 13268.586
transcript.whisperx[483].text 這個說明的一個方向這樣子所以我們要據實告訴我們的民眾不是用這樣子的就一個放話的方式然後用影射的方式把整個理由都把它說成是總預算照刪減那我們現在是有史以來最高規模的總預算政府為什麼沒辦法做事情當初我們賴總統在當行政院長的時候總預算也才不到兩兆啊
transcript.whisperx[484].start 13269.562
transcript.whisperx[484].end 13270.894
transcript.whisperx[484].text 現在接近三兆
transcript.whisperx[485].start 13272.351
transcript.whisperx[485].end 13299.256
transcript.whisperx[485].text 為什麼說政府沒有辦法運作那這個部分我也說明因為我們增加2,806億這個部分主要是增加在公共建設增加在補助健保這些等等那我們刪減是集中在某一些機關的特定業務項目譬如說它的業務費或者是說某一些機關它被刪減到零那等於說它完全沒有經費可以執行所以這個部分才會有執行的困難
transcript.whisperx[486].start 13301.016
transcript.whisperx[486].end 13327.787
transcript.whisperx[486].text 我們這個主義處把它寫成這些原因經濟成長下修的這些預測然後把它理由推到總預算遭刪減所以你們的意思就是說經濟成長是靠政府花錢來撐不要把人民當笨蛋好不好不要把人民當笨蛋不要忽略國人對我國經濟的努力還有付出好不好主委長你請回主席有請財政部
transcript.whisperx[487].start 13329.506
transcript.whisperx[487].end 13332.628
transcript.whisperx[487].text 財政部阮政次阮市長請委員好市長因為台灣經濟表現超乎預期那稅收超增所以要還稅於民普發現金讓全民共享經濟成果減輕民眾負擔穩定民生物價這是112年
transcript.whisperx[488].start 13359.1
transcript.whisperx[488].end 13377.338
transcript.whisperx[488].text 普發現金六千元的時候當時的行政院長蘇貞昌說的普發現金的理由那我要請教市長因為部長沒有來嘛那一樣的我要請教市長說我們要不要把這些經濟成果來分享給我們的民眾能不能全民共享要不要普發
transcript.whisperx[489].start 13378.438
transcript.whisperx[489].end 13400.124
transcript.whisperx[489].text 我跟委員報告就是說今年的狀況跟111年的狀況是不太一樣那100就是就113年的預算來講那麼時增數超過預算數是3700多億嘛那我們事實上我們也用來這個先還減少舉債跟先還債那今年也是一樣嗎那時增數超過5283億啊
transcript.whisperx[490].start 13403.118
transcript.whisperx[490].end 13424.392
transcript.whisperx[490].text 對 但是那時候的金額比較大而且那時候是有疫情的問題那這一次為什麼112年的時候可以全民分享這樣的經濟成果但是到了現在因為物價房租萬物齊長的情況之下民眾的負擔越來越大但是財政部的態度卻是物是人非金非喜彼為什麼
transcript.whisperx[491].start 13425.593
transcript.whisperx[491].end 13440.324
transcript.whisperx[491].text 我跟委員報告我們現在的財政狀況雖然是我們的稅收雖然是時增數超過預算數但是這不表示我們財政是有剩餘我跟委員報告從101年到去到112年為止只有3年
transcript.whisperx[492].start 13445.027
transcript.whisperx[492].end 13459.194
transcript.whisperx[492].text 有財政的剩餘一點點的剩餘其他全部都是赤字所以如果是照目前提到的這些修法案達到一定的門檻以後
transcript.whisperx[493].start 13460.294
transcript.whisperx[493].end 13487.014
transcript.whisperx[493].text 就一定要發的話我這邊的資料103年到112年稅客收入10增進而達到總預算編列9次其中達成率110%以上的有4個年度將這筆超增稅收普發給全體國民有助於緩解民生的負擔那去年超增的部分5283 5千多億扣除還本之後還有剩餘
transcript.whisperx[494].start 13487.915
transcript.whisperx[494].end 13502.606
transcript.whisperx[494].text 對不對那還有剩餘的話為什麼112年可以共享這種經濟成果為什麼今年就不行那行政院行政院主任長也表示要將普發現金列入討論要列入討論喔所以財政部難道要跟他唱反調嗎
transcript.whisperx[495].start 13503.647
transcript.whisperx[495].end 13517.136
transcript.whisperx[495].text 因為其實我們 我剛才講就是說就111年度那一年的財政的剩餘達到3500多億那在113年的財政剩餘大概不到他的一半
transcript.whisperx[496].start 13519.177
transcript.whisperx[496].end 13535.872
transcript.whisperx[496].text 所以另外一個就是說,114年那時候有疫情的問題所以那時候是因為經濟表現不錯,所以在財政也可以所以那時候才會有普發現金,再加上其他的一些振興的措施
transcript.whisperx[497].start 13538.594
transcript.whisperx[497].end 13562.003
transcript.whisperx[497].text 政府的財源來自於人民當人民生活困難而我們經濟成長又帶來了超額的稅收理當讓人民共享這樣的經濟成果不該僅用說我們預備未來的未知支出用這個理由來
transcript.whisperx[498].start 13564.517
transcript.whisperx[498].end 13585.652
transcript.whisperx[498].text 把它掩蓋掉那普發現金這也是多數人而且政府現在我們行政院院長也將列入討論所以我想請教財政部支不支持我們財政部是這樣我們負責這個稅入的籌措至於說有關的稅數這部分比如說剛才講的
transcript.whisperx[499].start 13586.753
transcript.whisperx[499].end 13608.758
transcript.whisperx[499].text 我們就是列入稅計剩餘那一部分要怎麼運用稅收是來自全民的貢獻所以應該要優先考量全民的利益做普發現金讓經濟成長真正匯集到每一位國民有關稅計剩餘那一部分我們是覺得說要有主管器官那麼依照施政的優先順序來做好 謝謝鄧議員的執行下面請楊瓊英委員執行 請
transcript.whisperx[500].start 13622.111
transcript.whisperx[500].end 13624.192
transcript.whisperx[500].text 謝謝主席 楊群發言 邀請主席長陳主席 請
transcript.whisperx[501].start 13633.175
transcript.whisperx[501].end 13652.783
transcript.whisperx[501].text 我們根據主計總書的資料顯示在2024年全年的消費者物價指數CPI是達到2.18%而且也連續三年突破了2%的通膨警戒線在2025年1月份的CPI更告訴我們是高達2.66%顯示國內的民生經濟能受通膨的衝擊
transcript.whisperx[502].start 13659.206
transcript.whisperx[502].end 13667.61
transcript.whisperx[502].text 我們又再看到財政部的統計資料去年全國稅收時增的金額是達到3,7619億較原先的超增數有超增了5,283億是歷年最高的超收紀錄所以在這邊請教超增的稅收
transcript.whisperx[503].start 13687.518
transcript.whisperx[503].end 13701.362
transcript.whisperx[503].text 主席長,是不是應該要普發現金,還稅漁民呢?請做說明跟委員報告一下,這個5283分到中央的部分是3757那你還累積之前前三年,4000多、4000多、5000多多少?
transcript.whisperx[504].start 13707.304
transcript.whisperx[504].end 13734.712
transcript.whisperx[504].text 沒有,因為114年我們的累積剩餘有部分去支援支印那個特別預算的一個億後的一個特別預算有3900多億所以我們去年在114年度的時候他的剩餘是剩下158億那158億再加上今年的一些剩餘的話目前大概剩下是差不多2000多億那這個部分呢我們也是以這個整個來看的話
transcript.whisperx[505].start 13738.515
transcript.whisperx[505].end 13756.912
transcript.whisperx[505].text 5283去扣掉那個變成3753他3753的部分今年的一個情況主要是因為我們本來要舉債的部分因為他有現金多收入所以就沒有去舉債第二個我們又還本所以本身在113年度他才剩下1500多在四年前我們問你們
transcript.whisperx[506].start 13758.453
transcript.whisperx[506].end 13772.939
transcript.whisperx[506].text 你們都說超徵的稅收你要去還債第二年再超徵你也說要去還債第三年超收的稅徵你也說是要還債但是累進起來不到一成的還債
transcript.whisperx[507].start 13774.059
transcript.whisperx[507].end 13801.769
transcript.whisperx[507].text 所以人民在通膨的指數一直增加的情況之下人就希望還稅於民你要慎重的考慮因為現在通膨非常的嚴肅所以在這樣的情況之下我們希望能夠直接受惠人民讓人民有感這是非常的重要所以本期希望的也就是目前為止我們人民的生活你看物價起漲
transcript.whisperx[508].start 13803.942
transcript.whisperx[508].end 13824.02
transcript.whisperx[508].text 房貸沉重人民的生活壓力這麼這麼的大所以還稅移民是很重要的民主的觀念所以我希望本席希望主席長你審慎考慮之這是人民的民意新生那接下來本席要請教主席長2月26號的時候呢我們發布了經濟的成長率是3.14%
transcript.whisperx[509].start 13830.586
transcript.whisperx[509].end 13842.875
transcript.whisperx[509].text 那我們從歷年的支出來看今年政府投資成長率是達到6.3%是六年來次高也是過去十年來平均成長數3%的兩倍
transcript.whisperx[510].start 13845.817
transcript.whisperx[510].end 13868.64
transcript.whisperx[510].text 政府在消費成長率是2.9%也比過去10年平均值的2.2%來得高所以今年政府的消費與政府投資的對經濟成長的貢獻是0.58百分比那這個比例也是近10年來的第四高顯見中央政府總預算不僅沒有拖累今年的經濟成長
transcript.whisperx[511].start 13869.841
transcript.whisperx[511].end 13896.751
transcript.whisperx[511].text 仍舊有不小的一個貢獻仍舊有不小的貢獻所以本席要請教主席長聯合國2014年大會的決議他決議說政府統計十大的準則最重要的是什麼是獨立性對不對主席長對是獨立性嘛所以主席長你有堅守
transcript.whisperx[512].start 13898.531
transcript.whisperx[512].end 13912.544
transcript.whisperx[512].text 獨立性 捍衛組織處的公信力嗎請說明是 我們一向都是依法辦事那這個部分如果說是今年3.14我們修正本來是3.29但是修正為3.14是因為去年113年度它整個基期墊高
transcript.whisperx[513].start 13919.149
transcript.whisperx[513].end 13946.568
transcript.whisperx[513].text 他本身本來也是4.26後來墊高到4.59所以墊高了之後才修正往下剛剛我本席也將你們自己所提出的數據很清楚的告訴你他是累進來我們都還是成長雖然你這個下修差了0.15%對不對所以我還是要請你公正性跟獨立性務必要堅守最後一分鐘給我
transcript.whisperx[514].start 13947.929
transcript.whisperx[514].end 13961.675
transcript.whisperx[514].text 我這個馬上給他就好了謝謝我在這邊我要請沈記長不要了 這個下一次好了我工作給他就好了沈記長 謝謝你站那裡聽就好了你站那裡聽就好了因為我們今天還要討論案子一分鐘就好了 不要不要就這樣 站那裡聽就好了謝謝好 謝謝下一位請張其蓋委員執行
transcript.whisperx[515].start 13991.383
transcript.whisperx[515].end 13991.524
transcript.whisperx[515].text 兩位好
transcript.whisperx[516].start 14008.119
transcript.whisperx[516].end 14031.225
transcript.whisperx[516].text 你們現在行政院下鄉的宣講現在連演都不演了本來說明總預算現在變成什麼都在推動大罷免王一川在高歌推動大罷免我看大半時間都在推大罷免你們怎麼用人民的納稅錢去辦民進黨的大罷免呢這符合預算的規定嗎
transcript.whisperx[517].start 14033.717
transcript.whisperx[517].end 14059.458
transcript.whisperx[517].text 來來來我先問一下你們現在下鄉用哪一個科目 用掉多少錢我們沒有 我也沒有請司機載我們都自己坐車啊我們都沒有用我們沒有用行政院的錢啦 沒有沒有用行政業績沒有用行政業績你看來 我給你看那張圖這個上面有多少是行政部門的人你看一下在那裡一張畫你啊
transcript.whisperx[518].start 14062.788
transcript.whisperx[518].end 14089.657
transcript.whisperx[518].text 陳金德啊 陸委會主委彭隨正啊你出門沒有維安人員嗎沒有司機嗎 沒有交通費嗎沒有發行政部門的這個錢嗎我前天看你還上台講話你的談餐誰寫的民進黨給你寫的 還是你的幕僚給你寫的民進黨還提供你談餐嗎沒有 這我自己寫的
transcript.whisperx[519].start 14091.653
transcript.whisperx[519].end 14118.295
transcript.whisperx[519].text 喔 主席長會貪財自己寫這不是謊話 就是真的是一個很親民的主席長人民會判斷 會判斷啦今天我的執行重點是不要拿人民的納稅錢去辦民進黨的這個大罷免民進黨你要大罷免你有自己的錢啊不要寄生在行政部門主席長 你們部會首長責任很重大你們有很多事情要做
transcript.whisperx[520].start 14119.912
transcript.whisperx[520].end 14137.121
transcript.whisperx[520].text 你如果說下鄉去當初我們在討論這個事情了專稅改專稅改你們不只創了中華民國的這個首例也是全世界的首例國會跟立法院本來就監督行政部門預算啊結果你們現在反過來下鄉去
transcript.whisperx[521].start 14139.62
transcript.whisperx[521].end 14159.449
transcript.whisperx[521].text 這全世界大概是世界奇蹟行政部門在監督立法院 國會議員審查預算 還大造謠這已經變成一個世界奇蹟了現在更嚴重的你們大半的時間上去的人都在講大罷免你沒有發現在整個社會被你們搞得對立整個台灣現在是失業了嗎?蘇貝丁
transcript.whisperx[522].start 14165.27
transcript.whisperx[522].end 14187.977
transcript.whisperx[522].text 我們明確的要求,第一,我剛才跟你講一個第一重點,你們是國家的重臣,你們是要為國家謀福利的,你每分錢都是民脂民膏,你念就是我們的心碎喔,每分錢都非常重要喔,你不管是你的,你看議定要出來,你要出來,有多少維安人員要動,警察多少人要動,那個場合要動用到多少錢,那個都是國家的錢耶,
transcript.whisperx[523].start 14190.225
transcript.whisperx[523].end 14200.709
transcript.whisperx[523].text 所以不要又動用我們的資源人民的納稅錢包括剛才剛才說的行政院長或者是每個部委首長去你們談判當然是你的幕僚寫的啊來我來請教新規定來新規定啊這種議審這種議審夠得了你審計部嗎這說明總預算
transcript.whisperx[524].start 14215.916
transcript.whisperx[524].end 14243.531
transcript.whisperx[524].text 那去推動這個大罷免,這些人這花的錢,每分錢,夠得讓你審計部嗎?剛剛主計長講,每個人都是自己付的費用如果是公家的,我們會了解一下,大概他的這個工作是屬於黨的工作,還是屬於公務的工作,我們會做一個了解
transcript.whisperx[525].start 14243.871
transcript.whisperx[525].end 14271.582
transcript.whisperx[525].text 所以到時候你要清清楚楚 要查清楚喔到底是用他們自己的錢 還是用公家的錢第二個我剛講更直接了你光是出去維安的人臉那個人事費跟那些動用的錢不是我們人民的民脂民膏嗎 我這有清楚嗎為了你推動大罷免你說你自己沒錢錢出來 老實講我是我剛講的 光是談餐這部分光是維安人臉 這個怎麼不是動用到我們人民的錢好不好 另外
transcript.whisperx[526].start 14273.021
transcript.whisperx[526].end 14280.169
transcript.whisperx[526].text 現在你們在推動這個大罷免大概用到人民的這個納稅錢多少那個錢要從哪邊來 預算科目是什麼要從哪邊去找這個錢出來讓他們辦這個大罷免
transcript.whisperx[527].start 14285.298
transcript.whisperx[527].end 14306.21
transcript.whisperx[527].text 報告委員齁 我沒有推動大罷免我只是針對我的政策做宣講而已其他我都沒有涉及我講到時候要投票啦現在中選會應該沒有這筆錢嘛 對不對本來編的沒有這一筆嘛 對不對這筆錢要出他目前沒有提出來啦對啊 成案以後要開始要投票要出錢第二億八千對不對這個部分到時候再看來
transcript.whisperx[528].start 14309.298
transcript.whisperx[528].end 14324.968
transcript.whisperx[528].text 我們到時候再來看 看他的主委長你有責任啦 至少他可能要12億啊 那個是第二億倍金喔 那是我們救命錢喔好不好 所以當然最理想了以娼生為戀 趕快踩煞車 不要再推這個違法而且造成人民的納稅錢被亂花的這個大罷免謝謝現在請吳世耀委員發言
transcript.whisperx[529].start 14338.771
transcript.whisperx[529].end 14344.244
transcript.whisperx[529].text 謝謝主席有請主席長也請財政部的阮次長陳主席長以及阮次長請
transcript.whisperx[530].start 14352.847
transcript.whisperx[530].end 14381.741
transcript.whisperx[530].text 委員好我也想分享我的觀點給剛剛質詢的張綺凱委員聽再次澄清 再次說明向投家報告宣講的行程是民進黨中央所舉辦沒有動用到半分半毫的民脂民膏主計長您下鄉您也是交通費這我們都是行政院再交代也對外澄清再澄清沒有動用到任何的公帑 對不對
transcript.whisperx[531].start 14382.361
transcript.whisperx[531].end 14397.078
transcript.whisperx[531].text 我都沒有我都自己坐車坐捷運我都沒有坐請司機來載是所以這要再次澄清已經澄清多次了還是有委員要在這裡造謠第二個立法委員的薪水向誰領的也是國庫嗎
transcript.whisperx[532].start 14400.492
transcript.whisperx[532].end 14412.644
transcript.whisperx[532].text 立法委員的助理是誰聘的也是國家嘛立法委員的談餐張其凱委員站在這裡質詢我也不曉得您的談餐也應當是受惠於您的研究團隊嘛
transcript.whisperx[533].start 14414.082
transcript.whisperx[533].end 14432.2
transcript.whisperx[533].text 所以呢這個刮別人鬍子之前先刮刮自己的如果立法委員的薪水來自於民脂民膏但是卻在做很多不符合國家需求的事我們真的要深自檢討好我回到今天的主題沒有人在講大罷免我們在講法案
transcript.whisperx[534].start 14432.981
transcript.whisperx[534].end 14459.738
transcript.whisperx[534].text 今天教委所排的是預算法八十一條但是同時要並案思考的是國民黨團另外也提出了一個普發現金的特別條例在經濟委員會主審我要說還稅移民是假議題稅收超出預期是拼經濟有成而拼經濟有成的經濟發展的紅利全民共享每一分每一毫都取之於民用之於民下業
transcript.whisperx[535].start 14461.411
transcript.whisperx[535].end 14490.183
transcript.whisperx[535].text 因為拼經濟有成才能夠超收所以在野黨的委員做很多的批判之前我也希望能夠合理評價讓全民在這幾年民進黨執政的這幾年大家在疫情之後我們挺過了我們拿出拼經濟的好成績這是全國人民共同的努力如果要說要批判超徵的這件事情真的要給予合理評價
transcript.whisperx[536].start 14491.483
transcript.whisperx[536].end 14509.69
transcript.whisperx[536].text 吳思耀的主張三件事要做任何的特別條例的立法或是預算法的修法不要再違憲了立法委員不得為增加支出之提議當然對於指定支出也有待商榷所以在憲法預算法財政紀律法的規範之下我們真的不要再違憲了有這個疑慮
transcript.whisperx[537].start 14512.111
transcript.whisperx[537].end 14533.392
transcript.whisperx[537].text 第二個我非常支持財政部說的你們要善用科學的方法要精進稅收估測的作為要組成一個專案小組現在是不是在進行有這個強化估測就能夠更確保未來在估稅入的時候更為精確這是solution建設性的solution還有
transcript.whisperx[538].start 14534.557
transcript.whisperx[538].end 14563.343
transcript.whisperx[538].text 如果真的是拼經濟成績超乎預期的稅收超徵的話優先用於弱勢所用擴大國家需求的建設而普發現金不應當常態化這是吳思瑤的三點主張不要再違憲然後我們要強化估測的科學方法然後經濟發展的果實全民共享請問兩位都同意吧
transcript.whisperx[539].start 14564.807
transcript.whisperx[539].end 14576.215
transcript.whisperx[539].text 好 那進入我的下一頁有四個錯 討論公共政策要本於事實在業黨委員所說的第一錯 還稅愚民就是我剛剛說為什麼是假議題這幾年來 就以2025年眾所說我們的減稅新制會增加到208戶適用免稅 我們減壓減稅 對不對
transcript.whisperx[540].start 14588.124
transcript.whisperx[540].end 14616.585
transcript.whisperx[540].text 第二個稅收超出預期不是全部都是中央所拿喔在野黨委員提的5283億這個數字他沒有扣除地方沒有扣除指定用途第三錯稅收超出預期不等於總預算的剩餘數這個是基本的嘛為什麼在野黨委員都還要持續帶錯的方向呢因為要優先用於減少舉債或還債第四錯年度剩餘需要經過決算的程序
transcript.whisperx[541].start 14617.586
transcript.whisperx[541].end 14625.592
transcript.whisperx[541].text 而不是現在就可以來判準我這四點說法是不是都符合真實符合我們的預算運作的法規兩位
transcript.whisperx[542].start 14627.779
transcript.whisperx[542].end 14644.905
transcript.whisperx[542].text 好謝謝我時間有限下一頁我就講這一個還稅愚民這幾年來我們優化稅制更公平為民眾來減稅減負擔尤其是年輕的家庭以單身上班族的所得未達44.6萬免繳稅這是新制史上新高
transcript.whisperx[543].start 14649.306
transcript.whisperx[543].end 14671.062
transcript.whisperx[543].text 雙興家庭年所得未達89.2萬元免繳稅史上新高雙興育有二名幼兒所得未達146.1萬元史上新高我換言之我要說環稅漁民就是我們做的減稅措施我們希望未來的任何的超收
transcript.whisperx[544].start 14672.023
transcript.whisperx[544].end 14687.916
transcript.whisperx[544].text 或者是稅收超出預期普發現金的常態化萬萬不可因為今天時間非常短好 謝謝主席我們後續再討論但是不要再落袋方向也不要再違憲了謝謝謝謝 下面請羅民財委員發言 請來 主席各位主席各位請主席長請主席長請
transcript.whisperx[545].start 14702.421
transcript.whisperx[545].end 14726.422
transcript.whisperx[545].text 主席長委員好你好現在民眾啊都在嗷嗷待哺啊每個人哭哈哈那如果說你領到一萬塊你一萬塊你要準備怎麼使用一萬塊一萬塊如果你領到一萬塊你準備怎麼使用一萬塊啊
transcript.whisperx[546].start 14735.083
transcript.whisperx[546].end 14757.768
transcript.whisperx[546].text 現在因為經濟不景氣很多的小朋友一般家裡要是有兩個小孩兩個小朋友剛好一人一萬就兩萬還有家庭現在的負擔很重爸爸媽媽帶著幼稚園小孩小學一年級的爸爸一萬媽媽一萬加起來四萬
transcript.whisperx[547].start 14759.994
transcript.whisperx[547].end 14786.867
transcript.whisperx[547].text 不無小補啊因為現在物價飆漲啊竹雞養你知道蘿蔔飯現在也起價了我那天去買香蕉啊你猜猜看一根香蕉多少錢香蕉有漲價因為香蕉最近因為它那個颱風的影響所以它產量少反正就是也是要吃水果嘛一根香蕉多少錢你知不知道我記得它十幾塊十幾塊十幾塊
transcript.whisperx[548].start 14790.034
transcript.whisperx[548].end 14817.372
transcript.whisperx[548].text 十幾塊,我要買香蕉一年要七十塊當然是seven的啦但是就是民眾喘不過氣來啦我剛剛講說小孩也需要這一萬塊啊大人也需要啊還有一些老人啊也需要啊每個人都需要,你也沒有去做過民意調查
transcript.whisperx[549].start 14819.363
transcript.whisperx[549].end 14847.834
transcript.whisperx[549].text 不需要的有幾%這個我沒有做那我幫你隨便做一下現場覺得不需要普發獻祭一萬的請舉手你看每個人都覺得需要啊主祭場真的很需要一人發一萬快樂常相伴一人發一萬人人有希望
transcript.whisperx[550].start 14849.208
transcript.whisperx[550].end 14876.918
transcript.whisperx[550].text 這不是很好的一件事嗎你來看看台電這幾年三年四年的時間你們撥給台電多少錢三千多億三千多億你們撥三千多億有經過誰的同意嗎有他有經過預算每一筆都有經過預算嗎有好那你們現在還有一個要撥補準備撥補多少錢
transcript.whisperx[551].start 14878.766
transcript.whisperx[551].end 14901.025
transcript.whisperx[551].text 最佳1000億,114年1000億被刪減掉了那你的意思是說,那撥了這1000億以後如果你敢在這裡保證以後台電不需要再撥補不要再來砍人民的錢那我可能考慮讓你通過喔可是你能答應我嗎
transcript.whisperx[552].start 14904.834
transcript.whisperx[552].end 14929.316
transcript.whisperx[552].text 給了一千億後面還有一千億一千億又再一千億 再一千億坦白講大家都覺得不如意啊所以今天我們看到去年的稅收超徵了五千多億年年都有稅收超徵與其用到其他的地方
transcript.whisperx[553].start 14930.39
transcript.whisperx[553].end 14953.653
transcript.whisperx[553].text 倒不如給民間一點小確幸一點小溫暖主席長你出去有沒有聽到這樣的聲音沒有沒有聽到我現在說給你聽我天天在外面聽到很多聲音我把第一線的聲音告訴你很多人需要這一萬塊
transcript.whisperx[554].start 14955.831
transcript.whisperx[554].end 14963.535
transcript.whisperx[554].text 特別是爸爸媽媽失業的這些小朋友一聽到說大人有一萬小孩有沒有 主計長上次普發現金小朋友有沒有領到錢你沒有小朋友嗎請問小朋友可不可以領到一萬塊
transcript.whisperx[555].start 14983.988
transcript.whisperx[555].end 15008.515
transcript.whisperx[555].text 有啦,上次領六千嘛所以說,大人有份,小孩也有份,大部分沒什麼份啦每一個只要中華民國國民剛剛出生的小朋友有沒有一萬塊?也是有啊所以我們不是都一直要鼓勵大家多多生產報國嗎?現在生育率又下降
transcript.whisperx[556].start 15009.502
transcript.whisperx[556].end 15034.049
transcript.whisperx[556].text 你讓這些年輕人他願意生嘛生了至少多少奶粉錢多少補貼一萬塊嘛所以主計長這個一萬塊對你來講可能你覺得不怎麼樣可是我出去大家都很想說因為電價又要再漲了主計長電價會不會漲油 電 水 氣水價會不會漲
transcript.whisperx[557].start 15039.737
transcript.whisperx[557].end 15066.172
transcript.whisperx[557].text 這個他們都還在討論當中啦萬一漲怎麼辦因為台水它也很久都二十幾年都沒有漲是啊所以你水漲嘛電也漲兩個漲了以後帶動萬物飆漲你能不能給一點老百姓一點好的消息就是普發現金一萬啊
transcript.whisperx[558].start 15068.581
transcript.whisperx[558].end 15085.84
transcript.whisperx[558].text 今年來得及吧我記得上次討論那個六千塊普發現金的時候也沒幾個月就發下來了啊上次從討論定案到最後民眾拿到錢大概多少的時間
transcript.whisperx[559].start 15088.238
transcript.whisperx[559].end 15112.14
transcript.whisperx[559].text 一般發現金它大部分是有特殊的一個目的尤其是有特殊的狀況那上次發現金普發現金主要是因為經濟成長的一個狀況不好然後包括是疫後為了鼓勵大家消費所以這個部分才會有特別發現金那所以當初是用特別條例特別條例先經過立法院同意以後然後再
transcript.whisperx[560].start 15112.74
transcript.whisperx[560].end 15139.689
transcript.whisperx[560].text 去編列預算這樣子也是編列特別預算來做支應所以前後花了多少時間這至少因為五年嗎 有沒有有沒有那麼久至少要三個月以上對嘛 三個月嘛所以不是五年也不是三年兩年嘛你很快速度快一點的話大家都可以領到這筆錢啊政府給紅包也不是只有台灣給啊請問主計長
transcript.whisperx[561].start 15143.055
transcript.whisperx[561].end 15171.769
transcript.whisperx[561].text 新加坡有沒有給這個我倒是不是很清楚那有誰清楚主計總署有沒有一個人文武百官有沒有隨便一個人清楚的或者是可以代為回答的沒有關係有沒有香港也有啊你看你沒有回答記者都回答了啊
transcript.whisperx[562].start 15172.662
transcript.whisperx[562].end 15194.847
transcript.whisperx[562].text 香港有 新加坡有 澳門有 美國好像有吧很多地方都有啊所以 竹下你研究一下嘛 是好不好 因為這個是民生需要的 民生議題嘛你剛剛講的有它的道理
transcript.whisperx[563].start 15195.663
transcript.whisperx[563].end 15222.797
transcript.whisperx[563].text 那所有委員提出來也很有道理因為年年稅收都超增那你超增民眾本來就是很期待嘛那你物價又飆漲起碼吃滷肉飯漲那麼多的時候我一萬塊下來我還可以多一顆滷蛋啊真的啦主席你可能不了解民間疾苦
transcript.whisperx[564].start 15223.786
transcript.whisperx[564].end 15247.437
transcript.whisperx[564].text 我們出去跑第一線的時候 大家都很辛苦 熬熬待補就來談經濟成長率好了 去年的經濟成長率是多少4.59那所有民眾領的薪資 它的中位數是多少中位數以這個月宣布的部分是3萬8
transcript.whisperx[565].start 15248.84
transcript.whisperx[565].end 15262.072
transcript.whisperx[565].text 是,台灣現在已經出現一個M型化的社會其實主席長你可以清楚告訴大家國家的GDP真正的來源集中在哪一個產業一般是
transcript.whisperx[566].start 15267.918
transcript.whisperx[566].end 15292.359
transcript.whisperx[566].text 電子半導體其實那個部分就佔了大概百分之六、七十所以另外比較M型中下階的部分其實大家生活很辛苦的啊每個人都是知珠必寄所以拜託主計長你做做好事真的有很多的家庭啊就是需要這一萬塊
transcript.whisperx[567].start 15294.192
transcript.whisperx[567].end 15320.086
transcript.whisperx[567].text 家裡有四個人四萬 家裡有五個人就五萬而且 當家裡的老人長者領到一萬塊的時候年輕人也可以減少一些若干的負擔所以 主席講 接你你可以民意調查做一個民意調查 看看到底需不需要好 謝謝好 謝謝盧秉強委員的發言現在請鄭天才委員發言
transcript.whisperx[568].start 15338.17
transcript.whisperx[568].end 15359.91
transcript.whisperx[568].text 主席 各位委員 有請主席長委員好主席長好 辛苦了這個是3月23號在花蓮的一個媒體就是這樣寫主席長 媒體就這樣寫
transcript.whisperx[569].start 15361.465
transcript.whisperx[569].end 15380.02
transcript.whisperx[569].text 主計長陳淑芝也都到場助長除強調中央被煽動的預算也要大家罷免國民黨立法院總召傅坤啟所以這個部分這是民進黨去辦的所以身為主計長你應該去評估
transcript.whisperx[570].start 15381.943
transcript.whisperx[570].end 15402.405
transcript.whisperx[570].text 你現在已經是成為中華民國的主席長第一個去參加政黨辦的一個宣講所以要審慎報告委員 我們是針對政策來宣講其他語言大部分我們也不會聽錯沒有錯 但是這個畢竟是一個政黨的場合我是建議你
transcript.whisperx[571].start 15403.866
transcript.whisperx[571].end 15418.115
transcript.whisperx[571].text 好 我們看今天的議題近年全國實增金額大於付稅預算的情形從2010年一直到2023年 尤其是這幾年都超增稅收
transcript.whisperx[572].start 15420.854
transcript.whisperx[572].end 15435.014
transcript.whisperx[572].text 所以今天特別審查這個預算法的修正,希望修法明定,法定付稅,收入實增數大於預算數三千億以上,政府應還稅一名,普發現金。
transcript.whisperx[573].start 15436.997
transcript.whisperx[573].end 15459.66
transcript.whisperx[573].text 那如果這個法例通過以後就不必再這個還要去另外訂一個特別條例那到時候看要用最佳預算的方式還是什麼都很多的一個途徑所以這個部分呢希望這個政府部門主計總署和財政部能夠支持好我們看這個
transcript.whisperx[574].start 15462.996
transcript.whisperx[574].end 15489.729
transcript.whisperx[574].text 電價審議委員會最近要審議要漲電價大家都很擔心因為這幾年連續漲了四次但是事實上如果我們以總統府賴總統親自聘任的氣候變遷委員會副召集人童子賢 何秀董事長他說核電可以年省N個千億
transcript.whisperx[575].start 15491.584
transcript.whisperx[575].end 15518.418
transcript.whisperx[575].text N個千億如果按照他的說法是15個千億所以這個部分是一個能源政策的問題所以主席總署也應該提供給台電提供給經濟部相關的這些意見所以這個部分到底我們很擔心呢人民都很擔心所以如果從法律面來看從法律面的話
transcript.whisperx[576].start 15519.946
transcript.whisperx[576].end 15537.673
transcript.whisperx[576].text 法例離島建設條例第十四條有規定撥補給台電因為省金輪、馬竹、澎湖離島、蘭嶼還有立島這些應該由政府、中央目的事業主管機關
transcript.whisperx[577].start 15539.373
transcript.whisperx[577].end 15564.507
transcript.whisperx[577].text 編列預算也就是經濟部應該編列預算撥補所以從這邊來去處理而不要再去漲漲電價到時候如果經濟部或是主席總書也可以去協調這個經濟部來照這個法例好我們接下來談這個原住民委員會編列的基本設施維持費跟主席講說明
transcript.whisperx[578].start 15566.162
transcript.whisperx[578].end 15575.714
transcript.whisperx[578].text 這個基本設施維持費是我在園民會服務的時候我去協調當時的主計總署行政院主計總署
transcript.whisperx[579].start 15577.352
transcript.whisperx[579].end 15596.857
transcript.whisperx[579].text 那時候是張俊雄當任行政院院長的時候要編列這個基本設施維持費謝謝當時的主計總署同意編列就開始編列了這個是一個最基本的原鄉很需要的所以它相關的經費額度都有
transcript.whisperx[580].start 15597.937
transcript.whisperx[580].end 15616.366
transcript.whisperx[580].text 已經114年度來講,編列了6億4千萬元。這個已經立法院通過了,沒有刪,也沒有凍結。現在為什麼要談這個呢?現在是不是要請主席長、主席總書要跟人民會講,不應該發這樣的文啊。
transcript.whisperx[581].start 15619.571
transcript.whisperx[581].end 15641.405
transcript.whisperx[581].text 去年的時候 大家都知道會行文給各縣市 鄉鎮你要先義為編列預算你要編多少 去年就已經分配了結果2月27號 延命會竟然發文給各鄉鎮各鄉鎮就覺得 延鄉就覺得很奇怪怎麼會被砍了50%啊
transcript.whisperx[582].start 15645.791
transcript.whisperx[582].end 15650.421
transcript.whisperx[582].text 事實上基本設施維持費第一個沒有刪減
transcript.whisperx[583].start 15651.909
transcript.whisperx[583].end 15669.793
transcript.whisperx[583].text 沒有凍結所以這個部分的協調主席總署趕快請主席總署趕快協調嚴密會發文好不好好謝謝主席長可以嗎這個部分是院長有發布院長有發布說是要凍結計劃型補助50%那這個部分是因為我們有一個3.636的這個部分所以這個部分我們是需要再協調這個部分到底是要怎麼三減是這樣子
transcript.whisperx[584].start 15682.376
transcript.whisperx[584].end 15704.363
transcript.whisperx[584].text 這個並沒有凍結並沒有差距好 謝謝 謝謝 謝謝施力修再說我們好了鄭振淺 鄭振淺 鄭振淺委員不在王國威 王國威 王國威 委員不在邱志偉 邱志偉 邱志偉 委員不在蔡奕宇 蔡奕宇 蔡奕宇 委員不在陳培宇 陳培宇 陳培宇 委員不在葉元之 委員請質詢
transcript.whisperx[585].start 15721.92
transcript.whisperx[585].end 15724.962
transcript.whisperx[585].text 主席好 麻煩請找主席長 謝謝陳主席 請委員好主席長 剛剛有聽您講就是說你預估我們的物價指數在不考慮水電漲的情況之下CPI是1.94%對不對是那如果水電漲之後你會預估多少 會破2%嗎
transcript.whisperx[586].start 15744.547
transcript.whisperx[586].end 15762.561
transcript.whisperx[586].text 大概原則上還有其他一些變動的因素如果一起考量大概可能會超過百分之二會超過百分之二超過百分之二的話就是大概一百塊平均漲兩塊的意思但是其實主委長我覺得一直講這個CPI我覺得很多人聽起來會很
transcript.whisperx[587].start 15763.982
transcript.whisperx[587].end 15784.607
transcript.whisperx[587].text 不是滋味為什麼呢因為實際上大部分的人都在外食嘛然後實際跟名聲有關的他的漲幅絕對不會只有2%啦我就舉一個今天才公告的一個大家很多有些人蠻喜歡吃的一個胖老爹胖老爹他今天公告他的人氣商品雞排從85塊要漲到100塊那這絕對就不是漲2%這漲多少了這漲15%以上了那雞腿54塊變60塊是漲一成以上
transcript.whisperx[588].start 15793.895
transcript.whisperx[588].end 15810.203
transcript.whisperx[588].text 所以實際上民眾一般面對的比較長的民生性的消費它的漲幅都不是2%2%是怎麼算出來的2%有時候會把一些那種電器啊3C產品啊算進來嘛那些東西本來是1900就會折舊折舊物價就會下跌嘛
transcript.whisperx[589].start 15810.783
transcript.whisperx[589].end 15839.883
transcript.whisperx[589].text 所以這樣的平均我覺得沒有辦法反映到人的真實的心理狀態啦那所以其實剛剛我聽到非常多的委員呼籲希望主席長也可以支持我們這一次我們稅收有超徵嘛另外我們也有一些預算把關的部分有刪減嘛把這個部分還稅於民一個人發一萬塊讓大家可以心理上面可以因應這個物價上漲我不知道主席長你願意支持嗎
transcript.whisperx[590].start 15841.083
transcript.whisperx[590].end 15866.354
transcript.whisperx[590].text 我跟委員報告剛剛談到所謂那個物價的問題因為我們總共物價有三百四十幾項在做調查然後比較民生物資比較相關就是重要的是七項那剛剛委員談到的大概就是所謂的外食會外食會的這個部是比較偏高的那再來就是主要是水果那水果是因為颱風的關係它會向上漲但是現在它已經下降了這樣然後元月份它是2.66
transcript.whisperx[591].start 15867.995
transcript.whisperx[591].end 15887.066
transcript.whisperx[591].text 二月份是1.58那重點元月份比較高是因為過年的時候因為你現在是還沒有把那個電價因素算進來電價因素還沒有放進來電價因素算進來的話那個漲的一定就更高了嘛一定就是而且很多東西都疊疊就是層層疊加上去啦
transcript.whisperx[592].start 15887.466
transcript.whisperx[592].end 15913.878
transcript.whisperx[592].text 是 因為電價也還在討論啦 還沒有被確認所以目前他二月份是1.58他就是要降價所以我只是要說這個物價的調漲絕對不會是像你想的那麼簡單一點多啦沒有啦 但是電價還有水價欸還有很多價錢欸 還有交通費用欸都算上去台鐵也要漲價所以很多加上去之後那個物價一定是會漲到不是你現在可以預估的狀況啦
transcript.whisperx[593].start 15916.299
transcript.whisperx[593].end 15937.606
transcript.whisperx[593].text 其實大家回過頭來都還是在講一件事情啦就是希望說能夠減輕我們消費者的負擔可以還稅於米一萬塊那第二個我跟組長請教一下因為之前卓院長有說因為行政院各部會有一些預算被凍結了所以要凍結地方的50%的補助那這個部分應該都是計劃型補助為主對不對
transcript.whisperx[594].start 15942.386
transcript.whisperx[594].end 15970.666
transcript.whisperx[594].text 原則上是計劃性補助為主那計劃性補助因為有很多計劃都是之前核定而且是分年逐步在做那你把那個凍結之後呢很可能會影響到他的計劃的推行其實這個對地方來說是影響很大那當然我覺得主委長你們的意思是說因為立法院凍結了我很多部會的30%啊我被凍結了我又不知道能不能解凍所以我當然就先凍結你地方啊你們的邏輯是這樣嘛
transcript.whisperx[595].start 15971.547
transcript.whisperx[595].end 15993.684
transcript.whisperx[595].text 不是啦委員我再跟你說明一下因為我們被刪減了939通案刪減那我們按照比例刪減之後刪減303那還有一個通案刪減636還沒有刪減那這個部分再刪減是有困難的所以這個部分因為沒有人去刪地方的建設的這個部分你們現在主要凍結地方的
transcript.whisperx[596].start 15994.324
transcript.whisperx[596].end 16013.169
transcript.whisperx[596].text 的原因都是因為你們有一些預算被凍結了你覺得既然中央沒有解凍那怎麼可以先撥給地方呢這個跟刪減無關啦因為沒有人去刪減這些東西啦主要都是凍結嘛那凍結可以解凍啊那現在我不知道說主想這邊為什麼有一些解凍你可以先做嘛
transcript.whisperx[597].start 16013.849
transcript.whisperx[597].end 16032.732
transcript.whisperx[597].text 當然有的你會講說因為有的部會被凍結30%我怎麼知道什麼時候會用到30%可是不是這樣啊前置作業可以先做啊就像總預算總預算你這八月送到立法院可是你三四月開始作業了嘛所以其實這件事情我相信啦如果說你的預算是用在補助地方
transcript.whisperx[598].start 16033.573
transcript.whisperx[598].end 16046.687
transcript.whisperx[598].text 大家不會去不願意解凍 一定很快就解凍了所以我希望說 主計長是不是可以趕快針對這個部分否則的話你會影響到地方建設的推行我們會把這種建議轉達好不好 好 謝謝謝謝月娥的質詢 下一位請徐心凌委員質詢
transcript.whisperx[599].start 16063.977
transcript.whisperx[599].end 16067.76
transcript.whisperx[599].text 主席本席請主記長主記長請主席主記長以及在座各位官員大家好我們今天不是在這裡爭論技術細節也不是討論一筆盈餘怎麼分我們要先問一個最根本的問題你們知不知道你們到底用的是誰的錢
transcript.whisperx[600].start 16093.237
transcript.whisperx[600].end 16106.989
transcript.whisperx[600].text 要對誰交代我們的執政黨說 人民是頭家用的是人民的錢 要對人民交代政府年年超徵稅收 人民卻無從分享
transcript.whisperx[601].start 16108.614
transcript.whisperx[601].end 16130.584
transcript.whisperx[601].text 稅制口頭喊著進步 但是操作卻接近壟斷所以接下來本席要就主席長 您在報告中提的七大說法我不知道是邏輯錯誤還是政治錯位還是您受了多大的壓力 我要一一來破解第一個 超增只是預估誤差 並非常態發生
transcript.whisperx[602].start 16132.185
transcript.whisperx[602].end 16156.863
transcript.whisperx[602].text 年年都有意外 那就不是意外 也不是例外它變成常態了我們有所謂的隨機誤差 系統誤差你這個已經變成連續四年的不是例外 是一個模式 它是系統誤差所以你預算長年的保守低估本席合理懷疑你是結構性的掩飾手法
transcript.whisperx[603].start 16157.642
transcript.whisperx[603].end 16175.257
transcript.whisperx[603].text 所以我們希望會後今天本席的諮詢你們要一一回應第二個即使超收仍要扣還本與短差政府未必有餘為何預算從未如實反映出這個支出和還本的結構
transcript.whisperx[604].start 16177.229
transcript.whisperx[604].end 16202.279
transcript.whisperx[604].text 為何超收必須要彌補過往的黑洞卻沒有看到你們向人民報賬人民多繳的是稅所以政府必須向人民交代這第二點第三個債務有還本機制無需再設還稅規定正因為還本有法源所以還稅更應該有制度啊
transcript.whisperx[605].start 16204.18
transcript.whisperx[605].end 16225.986
transcript.whisperx[605].text 我們目前沒有任何的超收返還的條文也沒有比例優先原則或者是用途的限制完全是行政部門想還就還不想就撐這是絕對不可以的所以如果預算照你們這樣做會變成行政權的口袋錢包
transcript.whisperx[606].start 16227.066
transcript.whisperx[606].end 16254.314
transcript.whisperx[606].text 所以預算如果不受立法的節制超收就會變成你們合法的掠奪這是第三點第四個 稅計等於虛代審計 尚未定案那誰說沒有定案就不能夠先設原則我們要的是建立制度性的比例機制審計確定後可以依法撥付啊
transcript.whisperx[607].start 16255.492
transcript.whisperx[607].end 16279.988
transcript.whisperx[607].text 如果遇到緊急情況 也可以訂定合理的調整條件所以主席長 這不是不能 是你們不想再來更離譜的 第五點並非年年有騰雲 所以不宜常態化處理所以難道因為並非年年有颱風所以我們就不需要立法防災嗎不用立防災法嗎
transcript.whisperx[608].start 16281.209
transcript.whisperx[608].end 16300.36
transcript.whisperx[608].text 所以正因為不是年年有,才更需要有制度的規範如果沒有制度的原則性安排,就沒有財政治理的永續性根基第六點,立法會限制財政彈性,無法因應變局
transcript.whisperx[609].start 16302.06
transcript.whisperx[609].end 16317.272
transcript.whisperx[609].text 彈性當然重要啊 但是你彈性凌駕原則那你的結果就是特別預算 特別氾濫還有國會監督邊緣化 在被你造謠 重傷 污衊
transcript.whisperx[610].start 16318.837
transcript.whisperx[610].end 16338.832
transcript.whisperx[610].text 那不能讓民意排除於財政決策之外 本席要再次提醒 人民是頭家你們用的是人民的納稅錢 所以你理應還稅於民 你理應向人民來報告所以我們不是要削弱行政的效率 我們是希望補強財政的正義
transcript.whisperx[611].start 16342.847
transcript.whisperx[611].end 16368.817
transcript.whisperx[611].text 最後第七點普發現金因靠特別條例不能制度化那我想請問為什麼企業減稅可以編常態預算科技國防追加可以進入年度預算人民退稅只能靠臨時條例嗎所以當人民退稅成為例外政府編偏財就會變成慣例就會變成慣例所以我們最後主張正義財政正義的
transcript.whisperx[612].start 16371.553
transcript.whisperx[612].end 16390.556
transcript.whisperx[612].text 五大理由 超徵因涉還稅機制不可任意支配建立透明計算與分配機制 還稅愚民法治化 減少政策的任意性財政不能靠施捨 財政是人民的權利歸還
transcript.whisperx[613].start 16392.028
transcript.whisperx[613].end 16403.759
transcript.whisperx[613].text 最後發現金不再只能是政治操作不然每逢選舉我們就出現了神秘盈餘最後強化國會預算跟決算的聯動
transcript.whisperx[614].start 16407.963
transcript.whisperx[614].end 16423.119
transcript.whisperx[614].text 設計預算決算對照條款國會對於超收資金運用具追蹤與再分配的權限最後我結論一下讓我們能夠推動一部真正屬於人民的預算法
transcript.whisperx[615].start 16424.02
transcript.whisperx[615].end 16444.709
transcript.whisperx[615].text 讓盈餘不只是口號是正義的回饋讓財政不只是表格與數字是政府與人民的契約信任請主計長您針對本席今天的破解能夠給我們報告一一回應 謝謝好 謝謝徐委員的質詢下一位請黃國昌黃國昌我們不在
transcript.whisperx[616].start 16450.592
transcript.whisperx[616].end 16474.986
transcript.whisperx[616].text 報告委員會 今日政績發言委員經已訓導完畢現在進行討論四項請議事人員宣讀今日審查預算法增訂八十一條之一條文草案等三案提案內容預計宣讀時間兩分鐘宣讀後以後我們就進行協商我們就休息五分鐘那同時宣讀
transcript.whisperx[617].start 16478.263
transcript.whisperx[617].end 16502.258
transcript.whisperx[617].text 宣讀本院委員擬拒預算法增訂第八十一條之一條文草案等三案委員王洪威等人提案第八十一條之一法定負稅收入時徵數大於預算數三千億元時除依第七十三條規定辦理外應優先辦理普發現金還稅與名委員林德福等人提案第八十一條之一
transcript.whisperx[618].start 16503.098
transcript.whisperx[618].end 16532.338
transcript.whisperx[618].text 法定負稅收入時徵數大於預算數10除依第73條規定辦理外應優先辦理以下事項並由行政院提出追加追減預算調整之一減少特別預算與中央政府總預算債務制局界二擴大照顧經濟或社會弱勢者三益助勞工保險基金公務員員退休撫恤基金國民年金保險基金全民健康保險基金
transcript.whisperx[619].start 16533.178
transcript.whisperx[619].end 16556.832
transcript.whisperx[619].text 前項優先辦理事項之追加追減預算金額或比例由主計總署令定之委員賴世保等人提案第八十一條之一法定稅入稅科收入全年時增數額達到當年度預算變劣數百分之一百二十十除依第七十三條規定辦理外應辦理普發現金宣讀完畢
transcript.whisperx[620].start 16708.72
transcript.whisperx[620].end 16728.74
transcript.whisperx[620].text 現在我又會報告跟本案無關的新陳觀念可以先行離席所以只留下主計總署跟財政部的觀念就可以了還有司法院長官要留下來因為有關於法律問題好 現在進行協商
transcript.whisperx[621].start 16755.046
transcript.whisperx[621].end 16762.249
transcript.whisperx[621].text 好 現在我們就請官員列席在這裡好不好 官員陳主席長 還有財政部的院次長
transcript.whisperx[622].start 16782.822
transcript.whisperx[622].end 16800.738
transcript.whisperx[622].text 稍等一下那個 輪廁長上廁所 稍等一下法務部留下來啦 法務部
transcript.whisperx[623].start 16804.668
transcript.whisperx[623].end 16804.988
transcript.whisperx[623].text 這個有點窒息
transcript.whisperx[624].start 16835.552
transcript.whisperx[624].end 16837.393
transcript.whisperx[624].text 稍等一下 因為廁場在廁所所以要這...
transcript.whisperx[625].start 16856.698
transcript.whisperx[625].end 16872.374
transcript.whisperx[625].text 好 剛才我們勉勵的賴昭偉跟我指示說民進黨團就一位代表發言發言完畢由我們處理好不好可以的話我們就請看你要判哪一位來 請
transcript.whisperx[626].start 16875.031
transcript.whisperx[626].end 16903.891
transcript.whisperx[626].text 我們今天早上的質詢都有針對這個問題講本黨團非常清楚的表達我們反對這個修正案因為正確的做法不是這樣這個法律我們都認為有違憲的嫌疑很嚴重那這個預算的使用本院只有審議權沒有提案權你用立法的方式包裝這個預算的提案這是我們不能接受的所以我們本黨團反對講得很清楚 謝謝
transcript.whisperx[627].start 16904.972
transcript.whisperx[627].end 16907.438
transcript.whisperx[627].text 好 謝謝 那我們國民黨團的一位委員代表
transcript.whisperx[628].start 16912.679
transcript.whisperx[628].end 16939.827
transcript.whisperx[628].text 在現在這個經濟環境民眾是苦哈哈啦那事實上全民都期待經濟成長共享成果就是普發現金那麼在過去的歷史裡面我們也看到有所謂的老農津貼等等等等很多主動權都是從立法院這邊來發起的所以這個是毫無疑慮啦就是端看
transcript.whisperx[629].start 16941.26
transcript.whisperx[629].end 16957.73
transcript.whisperx[629].text 政府有沒有辦法體恤人民的苦現在因為M型化的社會真的在基層很多人很多人對這個一萬塊的紅包是殷切期盼的不信的話你去做一個民意調查
transcript.whisperx[630].start 16958.55
transcript.whisperx[630].end 16974.457
transcript.whisperx[630].text 我大概這邊有一個調查的數字是超過百分之七十幾以上都是贊成政府如果有稅計剩餘有稅收超徵的時候是用來普發現金不是只有台灣有每個地方都 很多地方都有
transcript.whisperx[631].start 16975.537
transcript.whisperx[631].end 16996.768
transcript.whisperx[631].text 剛剛已經有人回答我說在新加坡也有在澳門、香港以及日本、美國幾個地方都有這樣的案例所以我們也希望這個是變成超正論化就常態化謝謝好 謝謝我們還是尊重行政院的長官主席長也請你講幾句話 來
transcript.whisperx[632].start 17002.297
transcript.whisperx[632].end 17020.349
transcript.whisperx[632].text 郭委員好 這個部分重點就是說它在預算法裡面增訂條文就是說應該要辦理普發現金或者應該要去做追加減項目的一些這個這樣子導致它整個一個條文的一個限制以後的一個
transcript.whisperx[633].start 17021.81
transcript.whisperx[633].end 17040.543
transcript.whisperx[633].text 政府政策一個那個彈性呢他就減少所以這個部分呢我們還是應該而且他第二個就是說他不是每一年都有剩餘所以這個部分我們還是希望說這個部分是不要再制定這樣增加制定這樣的一個內容以上好謝謝我們請財政部的蘭次長蘭長官請你發言
transcript.whisperx[634].start 17047.092
transcript.whisperx[634].end 17061.601
transcript.whisperx[634].text 主席 各位委員 大家好關於這個案子 我想就是說去年當然稅收是還不錯但是稅收好不表示說我們的財政就是好
transcript.whisperx[635].start 17062.762
transcript.whisperx[635].end 17078.339
transcript.whisperx[635].text 那我特別跟各位報告就是從101年到112年我們這十幾年只有三年是剩餘的而且剩餘只有一點點其他幾乎都是次制
transcript.whisperx[636].start 17080.566
transcript.whisperx[636].end 17108.202
transcript.whisperx[636].text 所以如果說要修正說大於就是說我們的時增數超過預算數3000億元以上或者是達到預算數百分之二十就要普發現金的話那沒有考慮到相關的財政的這個能量那我是擔心說到時候可能需要用舉債來合法這是一點
transcript.whisperx[637].start 17109.362
transcript.whisperx[637].end 17136.877
transcript.whisperx[637].text 另外可能就因為這個東西不是每年都有啦這個都是一種就是等於是去年剛好有這種稅收比較多的這種情況這個是估算的問題估算的問題它不是說真正有這樣的一個資源可以來發放做簡單說明好 謝謝市長就按照我們剛剛的協定就都不講話了我們就進行處理各位贊成
transcript.whisperx[638].start 17139.498
transcript.whisperx[638].end 17166.484
transcript.whisperx[638].text 這個我提一個就是本案全案保留因為大家意見不一樣朝委的意見跟行政部門都不一樣全案保留到院會去協商就這樣全案保留好不好我們要求你這個提案出來我們要求表決因為我們要留在議論裡面各位就你們團隊我們表決嘛好 那贊成我的提案的請舉手
transcript.whisperx[639].start 17170.342
transcript.whisperx[639].end 17198.877
transcript.whisperx[639].text 六位 我們會連秀反對我提案的舉手六位 六位 六位 六位記名清楚喔 有有有 記名清楚沒有沒有 你不能舉手你贊成的 反對一二三四五六 六位 六位反對六比六 按照議事規則主席這一票我投贊成 所以七比六我們全案
transcript.whisperx[640].start 17199.677
transcript.whisperx[640].end 17209.427
transcript.whisperx[640].text 保留送到送出委員會會議詢問啦拜託會議紀錄裡面誰贊成主席可以可以誰反對要負責每一個人的名字要寫要對整個會議負責好不好
transcript.whisperx[641].start 17216.288
transcript.whisperx[641].end 17241.557
transcript.whisperx[641].text 謝謝最後我講一句話各位可以要離開可以離開就是如果沒有到達百分之一百二就沒有這個問題沒有超過3000億也沒有這個問題所以各位這個題目很軟這個題目很軟沒有異性那個硬的在特別條例不在這裡沒有超過80%沒有超過3000億這個就不算數了就這樣子了好 三位
transcript.whisperx[642].start 17244.582
transcript.whisperx[642].end 17247.424
transcript.whisperx[642].text 好 報告委員會協商完畢 應請議事人員宣讀協商期論
transcript.whisperx[643].start 17274.229
transcript.whisperx[643].end 17292.801
transcript.whisperx[643].text 宣讀協商結論委員王宏輝等人委員林德福等人及委員賴世寶等人分別擬據預算法增訂第八十一條之一條文草案均保留送用會處理宣讀完畢好 各位有沒有異議沒有異議我們就照協商結論通過報告委員會
transcript.whisperx[644].start 17294.819
transcript.whisperx[644].end 17308.123
transcript.whisperx[644].text 預算法增訂第八十一條之一 條文草案等三案 並按審查完據 理據審查報告提報願為討論 願為討論前須交由動態協商 願為討論所有本席補充說明 請問各位對以上決議有異議
transcript.whisperx[645].start 17316.741
transcript.whisperx[645].end 17332.872
transcript.whisperx[645].text 每一位本月會議議程已進行完畢談論有不在場委員補題書面資料一併列入紀錄刊登公報並請議事人員協助處理另外另外很重要的
transcript.whisperx[646].start 17333.752
transcript.whisperx[646].end 17359.479
transcript.whisperx[646].text 民眾黨又跟我寫生過他們本來要提動議但是他們呢接受我的建議直接提案子在下個禮拜五會在這個禮拜五會到議會一讀之後進副法讀我們支持進副法讀所以所以最後我還沒了呢我還沒了呢等一下啦我還沒說呢
transcript.whisperx[647].start 17361.657
transcript.whisperx[647].end 17385.175
transcript.whisperx[647].text 所以跟各位報告就是我們在進行車外協商的時候會有民眾黨團的版本我特別宣告然後列入紀錄好不好除非民眾黨團不提版本你們提版本我們就列進來就是一起協商就是做這樣一個決定所以各位有沒有意見沒有意見我們就
transcript.whisperx[648].start 17387.799
transcript.whisperx[648].end 17396.909
transcript.whisperx[648].text 假如有不在場委員補題書面質詢一邊列入紀錄刊登公報並請醫事人員協助處理我們休息 謝謝