iVOD / 15739

Field Value
IVOD_ID 15739
IVOD_URL https://ivod.ly.gov.tw/Play/Full/1M/15739
日期 2024-03-20
會議資料.會議代碼 委員會-11-1-26-7
會議資料.會議代碼:str 第11屆第1會期社會福利及衛生環境委員會第7次全體委員會議
會議資料.屆 11
會議資料.會期 1
會議資料.會次 7
會議資料.種類 委員會
會議資料.委員會代碼[0] 26
會議資料.委員會代碼:str[0] 社會福利及衛生環境委員會
會議資料.標題 第11屆第1會期社會福利及衛生環境委員會第7次全體委員會議
影片種類 Full
開始時間 2024-03-20T08:30:35+08:00
結束時間 2024-03-20T13:30:00+08:00
影片長度 04:59:25
支援功能[0] ai-transcript
video_url https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/bfaf9b39ac01a6858729a3a0ba87e8cc6adffd4dccc8d5f93be8d109af184be4ccd91e9bc002f9e85ea18f28b6918d91.mp4/playlist.m3u8
會議時間 2024-03-20T09:00:00+08:00
會議名稱 立法院第11屆第1會期社會福利及衛生環境委員會第7次全體委員會議(事由:一、邀請勞動部部長、衛生福利部、教育部就「落實職場性別平等及性平三法上路如何落實雇主責任」進行專題報告,並備質詢。 二、邀請衛生福利部、勞動部、教育部就「完善職場育兒環境及托育人員專業職能、工作倫理及職業道德之培訓策進作為」進行專題報告,並備質詢。 【專題報告綜合詢答】 【3月20日及21日二天一次會】)
委員名稱 完整會議
委員發言時間 08:30:35 - 13:30:00
transcript.pyannote[0].speaker SPEAKER_25
transcript.pyannote[0].start 1792.35846875
transcript.pyannote[0].end 1794.48471875
transcript.pyannote[1].speaker SPEAKER_07
transcript.pyannote[1].start 1799.96909375
transcript.pyannote[1].end 1806.65159375
transcript.pyannote[2].speaker SPEAKER_09
transcript.pyannote[2].start 1806.97221875
transcript.pyannote[2].end 1829.39909375
transcript.pyannote[3].speaker SPEAKER_09
transcript.pyannote[3].start 1829.58471875
transcript.pyannote[3].end 1831.57596875
transcript.pyannote[4].speaker SPEAKER_09
transcript.pyannote[4].start 1831.76159375
transcript.pyannote[4].end 1835.54159375
transcript.pyannote[5].speaker SPEAKER_09
transcript.pyannote[5].start 1835.59221875
transcript.pyannote[5].end 1862.87909375
transcript.pyannote[6].speaker SPEAKER_09
transcript.pyannote[6].start 1863.21659375
transcript.pyannote[6].end 1904.42534375
transcript.pyannote[7].speaker SPEAKER_07
transcript.pyannote[7].start 1904.42534375
transcript.pyannote[7].end 1904.44221875
transcript.pyannote[8].speaker SPEAKER_09
transcript.pyannote[8].start 1905.26909375
transcript.pyannote[8].end 1906.02846875
transcript.pyannote[9].speaker SPEAKER_07
transcript.pyannote[9].start 1906.02846875
transcript.pyannote[9].end 1909.92659375
transcript.pyannote[10].speaker SPEAKER_07
transcript.pyannote[10].start 1911.05721875
transcript.pyannote[10].end 1951.42221875
transcript.pyannote[11].speaker SPEAKER_07
transcript.pyannote[11].start 1951.97909375
transcript.pyannote[11].end 1953.46409375
transcript.pyannote[12].speaker SPEAKER_07
transcript.pyannote[12].start 1955.59034375
transcript.pyannote[12].end 1956.97409375
transcript.pyannote[13].speaker SPEAKER_07
transcript.pyannote[13].start 1958.39159375
transcript.pyannote[13].end 1959.91034375
transcript.pyannote[14].speaker SPEAKER_07
transcript.pyannote[14].start 1961.22659375
transcript.pyannote[14].end 1964.71971875
transcript.pyannote[15].speaker SPEAKER_07
transcript.pyannote[15].start 1965.64784375
transcript.pyannote[15].end 1968.04409375
transcript.pyannote[16].speaker SPEAKER_07
transcript.pyannote[16].start 1968.70221875
transcript.pyannote[16].end 1970.82846875
transcript.pyannote[17].speaker SPEAKER_07
transcript.pyannote[17].start 1971.46971875
transcript.pyannote[17].end 1978.96221875
transcript.pyannote[18].speaker SPEAKER_07
transcript.pyannote[18].start 1979.31659375
transcript.pyannote[18].end 1985.00346875
transcript.pyannote[19].speaker SPEAKER_07
transcript.pyannote[19].start 1985.59409375
transcript.pyannote[19].end 1988.63159375
transcript.pyannote[20].speaker SPEAKER_07
transcript.pyannote[20].start 1989.55971875
transcript.pyannote[20].end 1991.60159375
transcript.pyannote[21].speaker SPEAKER_07
transcript.pyannote[21].start 1992.17534375
transcript.pyannote[21].end 1997.67659375
transcript.pyannote[22].speaker SPEAKER_07
transcript.pyannote[22].start 1998.28409375
transcript.pyannote[22].end 2002.28346875
transcript.pyannote[23].speaker SPEAKER_07
transcript.pyannote[23].start 2003.31284375
transcript.pyannote[23].end 2006.43471875
transcript.pyannote[24].speaker SPEAKER_07
transcript.pyannote[24].start 2007.14346875
transcript.pyannote[24].end 2011.59846875
transcript.pyannote[25].speaker SPEAKER_07
transcript.pyannote[25].start 2012.47596875
transcript.pyannote[25].end 2013.48846875
transcript.pyannote[26].speaker SPEAKER_07
transcript.pyannote[26].start 2013.74159375
transcript.pyannote[26].end 2018.39909375
transcript.pyannote[27].speaker SPEAKER_18
transcript.pyannote[27].start 2023.81596875
transcript.pyannote[27].end 2026.36409375
transcript.pyannote[28].speaker SPEAKER_18
transcript.pyannote[28].start 2026.65096875
transcript.pyannote[28].end 2032.67534375
transcript.pyannote[29].speaker SPEAKER_18
transcript.pyannote[29].start 2032.84409375
transcript.pyannote[29].end 2037.46784375
transcript.pyannote[30].speaker SPEAKER_18
transcript.pyannote[30].start 2037.97409375
transcript.pyannote[30].end 2043.05346875
transcript.pyannote[31].speaker SPEAKER_18
transcript.pyannote[31].start 2043.30659375
transcript.pyannote[31].end 2045.55096875
transcript.pyannote[32].speaker SPEAKER_18
transcript.pyannote[32].start 2046.00659375
transcript.pyannote[32].end 2049.44909375
transcript.pyannote[33].speaker SPEAKER_18
transcript.pyannote[33].start 2049.76971875
transcript.pyannote[33].end 2063.80971875
transcript.pyannote[34].speaker SPEAKER_18
transcript.pyannote[34].start 2063.97846875
transcript.pyannote[34].end 2065.27784375
transcript.pyannote[35].speaker SPEAKER_18
transcript.pyannote[35].start 2065.76721875
transcript.pyannote[35].end 2068.88909375
transcript.pyannote[36].speaker SPEAKER_18
transcript.pyannote[36].start 2069.22659375
transcript.pyannote[36].end 2071.01534375
transcript.pyannote[37].speaker SPEAKER_18
transcript.pyannote[37].start 2071.21784375
transcript.pyannote[37].end 2084.51534375
transcript.pyannote[38].speaker SPEAKER_18
transcript.pyannote[38].start 2084.80221875
transcript.pyannote[38].end 2088.63284375
transcript.pyannote[39].speaker SPEAKER_18
transcript.pyannote[39].start 2089.03784375
transcript.pyannote[39].end 2091.90659375
transcript.pyannote[40].speaker SPEAKER_18
transcript.pyannote[40].start 2092.14284375
transcript.pyannote[40].end 2096.58096875
transcript.pyannote[41].speaker SPEAKER_18
transcript.pyannote[41].start 2096.88471875
transcript.pyannote[41].end 2099.33159375
transcript.pyannote[42].speaker SPEAKER_18
transcript.pyannote[42].start 2099.63534375
transcript.pyannote[42].end 2101.15409375
transcript.pyannote[43].speaker SPEAKER_18
transcript.pyannote[43].start 2101.20471875
transcript.pyannote[43].end 2103.90471875
transcript.pyannote[44].speaker SPEAKER_18
transcript.pyannote[44].start 2104.29284375
transcript.pyannote[44].end 2106.31784375
transcript.pyannote[45].speaker SPEAKER_18
transcript.pyannote[45].start 2106.85784375
transcript.pyannote[45].end 2111.54909375
transcript.pyannote[46].speaker SPEAKER_18
transcript.pyannote[46].start 2111.88659375
transcript.pyannote[46].end 2116.39221875
transcript.pyannote[47].speaker SPEAKER_18
transcript.pyannote[47].start 2116.40909375
transcript.pyannote[47].end 2119.02471875
transcript.pyannote[48].speaker SPEAKER_18
transcript.pyannote[48].start 2119.14284375
transcript.pyannote[48].end 2121.11721875
transcript.pyannote[49].speaker SPEAKER_18
transcript.pyannote[49].start 2121.75846875
transcript.pyannote[49].end 2125.25159375
transcript.pyannote[50].speaker SPEAKER_18
transcript.pyannote[50].start 2125.62284375
transcript.pyannote[50].end 2144.01659375
transcript.pyannote[51].speaker SPEAKER_18
transcript.pyannote[51].start 2144.62409375
transcript.pyannote[51].end 2148.06659375
transcript.pyannote[52].speaker SPEAKER_18
transcript.pyannote[52].start 2148.33659375
transcript.pyannote[52].end 2160.25034375
transcript.pyannote[53].speaker SPEAKER_18
transcript.pyannote[53].start 2160.31784375
transcript.pyannote[53].end 2168.90721875
transcript.pyannote[54].speaker SPEAKER_18
transcript.pyannote[54].start 2169.31221875
transcript.pyannote[54].end 2177.09159375
transcript.pyannote[55].speaker SPEAKER_18
transcript.pyannote[55].start 2177.31096875
transcript.pyannote[55].end 2178.88034375
transcript.pyannote[56].speaker SPEAKER_18
transcript.pyannote[56].start 2179.31909375
transcript.pyannote[56].end 2179.75784375
transcript.pyannote[57].speaker SPEAKER_18
transcript.pyannote[57].start 2179.99409375
transcript.pyannote[57].end 2181.76596875
transcript.pyannote[58].speaker SPEAKER_18
transcript.pyannote[58].start 2182.47471875
transcript.pyannote[58].end 2185.02284375
transcript.pyannote[59].speaker SPEAKER_18
transcript.pyannote[59].start 2185.32659375
transcript.pyannote[59].end 2188.92096875
transcript.pyannote[60].speaker SPEAKER_18
transcript.pyannote[60].start 2189.25846875
transcript.pyannote[60].end 2192.70096875
transcript.pyannote[61].speaker SPEAKER_18
transcript.pyannote[61].start 2192.98784375
transcript.pyannote[61].end 2197.03784375
transcript.pyannote[62].speaker SPEAKER_18
transcript.pyannote[62].start 2197.54409375
transcript.pyannote[62].end 2205.39096875
transcript.pyannote[63].speaker SPEAKER_18
transcript.pyannote[63].start 2205.42471875
transcript.pyannote[63].end 2207.58471875
transcript.pyannote[64].speaker SPEAKER_18
transcript.pyannote[64].start 2207.97284375
transcript.pyannote[64].end 2209.79534375
transcript.pyannote[65].speaker SPEAKER_18
transcript.pyannote[65].start 2210.08221875
transcript.pyannote[65].end 2214.41909375
transcript.pyannote[66].speaker SPEAKER_18
transcript.pyannote[66].start 2214.77346875
transcript.pyannote[66].end 2221.67534375
transcript.pyannote[67].speaker SPEAKER_18
transcript.pyannote[67].start 2222.13096875
transcript.pyannote[67].end 2225.65784375
transcript.pyannote[68].speaker SPEAKER_18
transcript.pyannote[68].start 2225.70846875
transcript.pyannote[68].end 2230.58534375
transcript.pyannote[69].speaker SPEAKER_18
transcript.pyannote[69].start 2230.70346875
transcript.pyannote[69].end 2237.38596875
transcript.pyannote[70].speaker SPEAKER_18
transcript.pyannote[70].start 2237.52096875
transcript.pyannote[70].end 2238.06096875
transcript.pyannote[71].speaker SPEAKER_18
transcript.pyannote[71].start 2238.39846875
transcript.pyannote[71].end 2241.63846875
transcript.pyannote[72].speaker SPEAKER_18
transcript.pyannote[72].start 2241.89159375
transcript.pyannote[72].end 2244.55784375
transcript.pyannote[73].speaker SPEAKER_18
transcript.pyannote[73].start 2245.72221875
transcript.pyannote[73].end 2248.38846875
transcript.pyannote[74].speaker SPEAKER_18
transcript.pyannote[74].start 2248.54034375
transcript.pyannote[74].end 2253.77159375
transcript.pyannote[75].speaker SPEAKER_18
transcript.pyannote[75].start 2254.02471875
transcript.pyannote[75].end 2255.96534375
transcript.pyannote[76].speaker SPEAKER_18
transcript.pyannote[76].start 2256.43784375
transcript.pyannote[76].end 2258.80034375
transcript.pyannote[77].speaker SPEAKER_18
transcript.pyannote[77].start 2259.15471875
transcript.pyannote[77].end 2263.52534375
transcript.pyannote[78].speaker SPEAKER_18
transcript.pyannote[78].start 2263.89659375
transcript.pyannote[78].end 2266.54596875
transcript.pyannote[79].speaker SPEAKER_18
transcript.pyannote[79].start 2266.76534375
transcript.pyannote[79].end 2269.19534375
transcript.pyannote[80].speaker SPEAKER_18
transcript.pyannote[80].start 2269.58346875
transcript.pyannote[80].end 2272.30034375
transcript.pyannote[81].speaker SPEAKER_18
transcript.pyannote[81].start 2272.57034375
transcript.pyannote[81].end 2274.61221875
transcript.pyannote[82].speaker SPEAKER_18
transcript.pyannote[82].start 2275.25346875
transcript.pyannote[82].end 2277.49784375
transcript.pyannote[83].speaker SPEAKER_18
transcript.pyannote[83].start 2277.83534375
transcript.pyannote[83].end 2290.03596875
transcript.pyannote[84].speaker SPEAKER_07
transcript.pyannote[84].start 2290.03596875
transcript.pyannote[84].end 2295.08159375
transcript.pyannote[85].speaker SPEAKER_07
transcript.pyannote[85].start 2297.39346875
transcript.pyannote[85].end 2298.86159375
transcript.pyannote[86].speaker SPEAKER_07
transcript.pyannote[86].start 2299.95846875
transcript.pyannote[86].end 2306.45534375
transcript.pyannote[87].speaker SPEAKER_04
transcript.pyannote[87].start 2313.05346875
transcript.pyannote[87].end 2316.22596875
transcript.pyannote[88].speaker SPEAKER_04
transcript.pyannote[88].start 2316.56346875
transcript.pyannote[88].end 2322.68909375
transcript.pyannote[89].speaker SPEAKER_04
transcript.pyannote[89].start 2323.00971875
transcript.pyannote[89].end 2325.76034375
transcript.pyannote[90].speaker SPEAKER_04
transcript.pyannote[90].start 2325.92909375
transcript.pyannote[90].end 2330.90721875
transcript.pyannote[91].speaker SPEAKER_04
transcript.pyannote[91].start 2331.04221875
transcript.pyannote[91].end 2338.12971875
transcript.pyannote[92].speaker SPEAKER_04
transcript.pyannote[92].start 2338.85534375
transcript.pyannote[92].end 2353.19909375
transcript.pyannote[93].speaker SPEAKER_04
transcript.pyannote[93].start 2353.36784375
transcript.pyannote[93].end 2357.55284375
transcript.pyannote[94].speaker SPEAKER_04
transcript.pyannote[94].start 2358.12659375
transcript.pyannote[94].end 2364.65721875
transcript.pyannote[95].speaker SPEAKER_04
transcript.pyannote[95].start 2364.74159375
transcript.pyannote[95].end 2366.04096875
transcript.pyannote[96].speaker SPEAKER_04
transcript.pyannote[96].start 2366.14221875
transcript.pyannote[96].end 2375.84534375
transcript.pyannote[97].speaker SPEAKER_04
transcript.pyannote[97].start 2376.08159375
transcript.pyannote[97].end 2378.07284375
transcript.pyannote[98].speaker SPEAKER_04
transcript.pyannote[98].start 2378.25846875
transcript.pyannote[98].end 2381.86971875
transcript.pyannote[99].speaker SPEAKER_04
transcript.pyannote[99].start 2382.24096875
transcript.pyannote[99].end 2386.79721875
transcript.pyannote[100].speaker SPEAKER_04
transcript.pyannote[100].start 2386.81409375
transcript.pyannote[100].end 2387.89409375
transcript.pyannote[101].speaker SPEAKER_04
transcript.pyannote[101].start 2387.91096875
transcript.pyannote[101].end 2392.06221875
transcript.pyannote[102].speaker SPEAKER_04
transcript.pyannote[102].start 2392.58534375
transcript.pyannote[102].end 2403.60471875
transcript.pyannote[103].speaker SPEAKER_04
transcript.pyannote[103].start 2404.31346875
transcript.pyannote[103].end 2407.63784375
transcript.pyannote[104].speaker SPEAKER_04
transcript.pyannote[104].start 2407.99221875
transcript.pyannote[104].end 2409.44346875
transcript.pyannote[105].speaker SPEAKER_04
transcript.pyannote[105].start 2409.56159375
transcript.pyannote[105].end 2413.74659375
transcript.pyannote[106].speaker SPEAKER_04
transcript.pyannote[106].start 2414.05034375
transcript.pyannote[106].end 2417.96534375
transcript.pyannote[107].speaker SPEAKER_04
transcript.pyannote[107].start 2418.25221875
transcript.pyannote[107].end 2427.82034375
transcript.pyannote[108].speaker SPEAKER_04
transcript.pyannote[108].start 2428.20846875
transcript.pyannote[108].end 2441.47221875
transcript.pyannote[109].speaker SPEAKER_04
transcript.pyannote[109].start 2442.34971875
transcript.pyannote[109].end 2492.90721875
transcript.pyannote[110].speaker SPEAKER_04
transcript.pyannote[110].start 2493.26159375
transcript.pyannote[110].end 2496.73784375
transcript.pyannote[111].speaker SPEAKER_04
transcript.pyannote[111].start 2496.83909375
transcript.pyannote[111].end 2499.94409375
transcript.pyannote[112].speaker SPEAKER_04
transcript.pyannote[112].start 2500.43346875
transcript.pyannote[112].end 2504.09534375
transcript.pyannote[113].speaker SPEAKER_04
transcript.pyannote[113].start 2504.43284375
transcript.pyannote[113].end 2517.07221875
transcript.pyannote[114].speaker SPEAKER_04
transcript.pyannote[114].start 2517.08909375
transcript.pyannote[114].end 2582.39534375
transcript.pyannote[115].speaker SPEAKER_04
transcript.pyannote[115].start 2582.59784375
transcript.pyannote[115].end 2589.21284375
transcript.pyannote[116].speaker SPEAKER_04
transcript.pyannote[116].start 2589.41534375
transcript.pyannote[116].end 2605.61534375
transcript.pyannote[117].speaker SPEAKER_04
transcript.pyannote[117].start 2606.66159375
transcript.pyannote[117].end 2614.25534375
transcript.pyannote[118].speaker SPEAKER_04
transcript.pyannote[118].start 2614.47471875
transcript.pyannote[118].end 2627.48534375
transcript.pyannote[119].speaker SPEAKER_04
transcript.pyannote[119].start 2627.78909375
transcript.pyannote[119].end 2634.72471875
transcript.pyannote[120].speaker SPEAKER_07
transcript.pyannote[120].start 2634.72471875
transcript.pyannote[120].end 2654.38409375
transcript.pyannote[121].speaker SPEAKER_07
transcript.pyannote[121].start 2654.60346875
transcript.pyannote[121].end 2657.25284375
transcript.pyannote[122].speaker SPEAKER_07
transcript.pyannote[122].start 2657.26971875
transcript.pyannote[122].end 2668.01909375
transcript.pyannote[123].speaker SPEAKER_07
transcript.pyannote[123].start 2671.49534375
transcript.pyannote[123].end 2673.13221875
transcript.pyannote[124].speaker SPEAKER_07
transcript.pyannote[124].start 2673.68909375
transcript.pyannote[124].end 2674.85346875
transcript.pyannote[125].speaker SPEAKER_14
transcript.pyannote[125].start 2679.96659375
transcript.pyannote[125].end 2680.60784375
transcript.pyannote[126].speaker SPEAKER_14
transcript.pyannote[126].start 2681.02971875
transcript.pyannote[126].end 2684.37096875
transcript.pyannote[127].speaker SPEAKER_14
transcript.pyannote[127].start 2684.82659375
transcript.pyannote[127].end 2691.20534375
transcript.pyannote[128].speaker SPEAKER_18
transcript.pyannote[128].start 2687.12159375
transcript.pyannote[128].end 2688.06659375
transcript.pyannote[129].speaker SPEAKER_14
transcript.pyannote[129].start 2691.55971875
transcript.pyannote[129].end 2702.66346875
transcript.pyannote[130].speaker SPEAKER_14
transcript.pyannote[130].start 2702.95034375
transcript.pyannote[130].end 2710.62846875
transcript.pyannote[131].speaker SPEAKER_14
transcript.pyannote[131].start 2710.88159375
transcript.pyannote[131].end 2717.96909375
transcript.pyannote[132].speaker SPEAKER_14
transcript.pyannote[132].start 2718.22221875
transcript.pyannote[132].end 2731.23284375
transcript.pyannote[133].speaker SPEAKER_25
transcript.pyannote[133].start 2733.42659375
transcript.pyannote[133].end 2733.44346875
transcript.pyannote[134].speaker SPEAKER_14
transcript.pyannote[134].start 2733.44346875
transcript.pyannote[134].end 2733.54471875
transcript.pyannote[135].speaker SPEAKER_14
transcript.pyannote[135].start 2734.00034375
transcript.pyannote[135].end 2741.29034375
transcript.pyannote[136].speaker SPEAKER_18
transcript.pyannote[136].start 2741.83034375
transcript.pyannote[136].end 2742.26909375
transcript.pyannote[137].speaker SPEAKER_14
transcript.pyannote[137].start 2742.31971875
transcript.pyannote[137].end 2750.97659375
transcript.pyannote[138].speaker SPEAKER_14
transcript.pyannote[138].start 2751.11159375
transcript.pyannote[138].end 2773.03221875
transcript.pyannote[139].speaker SPEAKER_00
transcript.pyannote[139].start 2764.22346875
transcript.pyannote[139].end 2764.24034375
transcript.pyannote[140].speaker SPEAKER_16
transcript.pyannote[140].start 2764.24034375
transcript.pyannote[140].end 2764.59471875
transcript.pyannote[141].speaker SPEAKER_00
transcript.pyannote[141].start 2764.59471875
transcript.pyannote[141].end 2764.62846875
transcript.pyannote[142].speaker SPEAKER_18
transcript.pyannote[142].start 2773.03221875
transcript.pyannote[142].end 2773.08284375
transcript.pyannote[143].speaker SPEAKER_14
transcript.pyannote[143].start 2773.70721875
transcript.pyannote[143].end 2773.74096875
transcript.pyannote[144].speaker SPEAKER_18
transcript.pyannote[144].start 2773.74096875
transcript.pyannote[144].end 2784.45659375
transcript.pyannote[145].speaker SPEAKER_14
transcript.pyannote[145].start 2775.47909375
transcript.pyannote[145].end 2775.79971875
transcript.pyannote[146].speaker SPEAKER_14
transcript.pyannote[146].start 2777.13284375
transcript.pyannote[146].end 2777.63909375
transcript.pyannote[147].speaker SPEAKER_14
transcript.pyannote[147].start 2779.69784375
transcript.pyannote[147].end 2780.28846875
transcript.pyannote[148].speaker SPEAKER_14
transcript.pyannote[148].start 2783.25846875
transcript.pyannote[148].end 2808.21659375
transcript.pyannote[149].speaker SPEAKER_18
transcript.pyannote[149].start 2786.26221875
transcript.pyannote[149].end 2786.44784375
transcript.pyannote[150].speaker SPEAKER_14
transcript.pyannote[150].start 2808.79034375
transcript.pyannote[150].end 2814.86534375
transcript.pyannote[151].speaker SPEAKER_27
transcript.pyannote[151].start 2814.94971875
transcript.pyannote[151].end 2815.60784375
transcript.pyannote[152].speaker SPEAKER_14
transcript.pyannote[152].start 2815.62471875
transcript.pyannote[152].end 2823.43784375
transcript.pyannote[153].speaker SPEAKER_18
transcript.pyannote[153].start 2822.23971875
transcript.pyannote[153].end 2824.63596875
transcript.pyannote[154].speaker SPEAKER_18
transcript.pyannote[154].start 2824.97346875
transcript.pyannote[154].end 2834.71034375
transcript.pyannote[155].speaker SPEAKER_14
transcript.pyannote[155].start 2825.53034375
transcript.pyannote[155].end 2828.92221875
transcript.pyannote[156].speaker SPEAKER_14
transcript.pyannote[156].start 2833.09034375
transcript.pyannote[156].end 2853.03659375
transcript.pyannote[157].speaker SPEAKER_14
transcript.pyannote[157].start 2853.15471875
transcript.pyannote[157].end 2857.32284375
transcript.pyannote[158].speaker SPEAKER_14
transcript.pyannote[158].start 2858.04846875
transcript.pyannote[158].end 2859.56721875
transcript.pyannote[159].speaker SPEAKER_27
transcript.pyannote[159].start 2859.98909375
transcript.pyannote[159].end 2865.59159375
transcript.pyannote[160].speaker SPEAKER_14
transcript.pyannote[160].start 2864.74784375
transcript.pyannote[160].end 2869.62471875
transcript.pyannote[161].speaker SPEAKER_27
transcript.pyannote[161].start 2866.18221875
transcript.pyannote[161].end 2867.97096875
transcript.pyannote[162].speaker SPEAKER_28
transcript.pyannote[162].start 2868.34221875
transcript.pyannote[162].end 2873.52284375
transcript.pyannote[163].speaker SPEAKER_14
transcript.pyannote[163].start 2871.95346875
transcript.pyannote[163].end 2872.12221875
transcript.pyannote[164].speaker SPEAKER_28
transcript.pyannote[164].start 2873.72534375
transcript.pyannote[164].end 2885.70659375
transcript.pyannote[165].speaker SPEAKER_14
transcript.pyannote[165].start 2883.86721875
transcript.pyannote[165].end 2896.37159375
transcript.pyannote[166].speaker SPEAKER_25
transcript.pyannote[166].start 2893.92471875
transcript.pyannote[166].end 2896.08471875
transcript.pyannote[167].speaker SPEAKER_00
transcript.pyannote[167].start 2896.08471875
transcript.pyannote[167].end 2896.13534375
transcript.pyannote[168].speaker SPEAKER_14
transcript.pyannote[168].start 2896.82721875
transcript.pyannote[168].end 2906.39534375
transcript.pyannote[169].speaker SPEAKER_14
transcript.pyannote[169].start 2906.88471875
transcript.pyannote[169].end 2912.87534375
transcript.pyannote[170].speaker SPEAKER_18
transcript.pyannote[170].start 2912.87534375
transcript.pyannote[170].end 2924.65409375
transcript.pyannote[171].speaker SPEAKER_14
transcript.pyannote[171].start 2921.46471875
transcript.pyannote[171].end 2951.06346875
transcript.pyannote[172].speaker SPEAKER_14
transcript.pyannote[172].start 2951.56971875
transcript.pyannote[172].end 2953.49346875
transcript.pyannote[173].speaker SPEAKER_14
transcript.pyannote[173].start 2953.72971875
transcript.pyannote[173].end 2956.17659375
transcript.pyannote[174].speaker SPEAKER_14
transcript.pyannote[174].start 2956.37909375
transcript.pyannote[174].end 2961.89721875
transcript.pyannote[175].speaker SPEAKER_14
transcript.pyannote[175].start 2962.31909375
transcript.pyannote[175].end 2967.73596875
transcript.pyannote[176].speaker SPEAKER_25
transcript.pyannote[176].start 2966.95971875
transcript.pyannote[176].end 2967.38159375
transcript.pyannote[177].speaker SPEAKER_25
transcript.pyannote[177].start 2967.73596875
transcript.pyannote[177].end 2967.82034375
transcript.pyannote[178].speaker SPEAKER_14
transcript.pyannote[178].start 2967.82034375
transcript.pyannote[178].end 2977.37159375
transcript.pyannote[179].speaker SPEAKER_25
transcript.pyannote[179].start 2967.83721875
transcript.pyannote[179].end 2968.07346875
transcript.pyannote[180].speaker SPEAKER_14
transcript.pyannote[180].start 2977.48971875
transcript.pyannote[180].end 3005.68784375
transcript.pyannote[181].speaker SPEAKER_00
transcript.pyannote[181].start 2993.48721875
transcript.pyannote[181].end 2993.92596875
transcript.pyannote[182].speaker SPEAKER_25
transcript.pyannote[182].start 3006.21096875
transcript.pyannote[182].end 3006.71721875
transcript.pyannote[183].speaker SPEAKER_18
transcript.pyannote[183].start 3006.71721875
transcript.pyannote[183].end 3006.76784375
transcript.pyannote[184].speaker SPEAKER_25
transcript.pyannote[184].start 3006.76784375
transcript.pyannote[184].end 3007.10534375
transcript.pyannote[185].speaker SPEAKER_18
transcript.pyannote[185].start 3007.10534375
transcript.pyannote[185].end 3007.12221875
transcript.pyannote[186].speaker SPEAKER_14
transcript.pyannote[186].start 3007.12221875
transcript.pyannote[186].end 3010.32846875
transcript.pyannote[187].speaker SPEAKER_25
transcript.pyannote[187].start 3007.25721875
transcript.pyannote[187].end 3007.34159375
transcript.pyannote[188].speaker SPEAKER_18
transcript.pyannote[188].start 3007.34159375
transcript.pyannote[188].end 3008.16846875
transcript.pyannote[189].speaker SPEAKER_18
transcript.pyannote[189].start 3009.07971875
transcript.pyannote[189].end 3009.43409375
transcript.pyannote[190].speaker SPEAKER_18
transcript.pyannote[190].start 3010.54784375
transcript.pyannote[190].end 3023.59221875
transcript.pyannote[191].speaker SPEAKER_18
transcript.pyannote[191].start 3024.06471875
transcript.pyannote[191].end 3032.33346875
transcript.pyannote[192].speaker SPEAKER_03
transcript.pyannote[192].start 3025.29659375
transcript.pyannote[192].end 3025.31346875
transcript.pyannote[193].speaker SPEAKER_04
transcript.pyannote[193].start 3025.31346875
transcript.pyannote[193].end 3025.33034375
transcript.pyannote[194].speaker SPEAKER_14
transcript.pyannote[194].start 3025.33034375
transcript.pyannote[194].end 3025.71846875
transcript.pyannote[195].speaker SPEAKER_04
transcript.pyannote[195].start 3025.71846875
transcript.pyannote[195].end 3025.75221875
transcript.pyannote[196].speaker SPEAKER_14
transcript.pyannote[196].start 3025.75221875
transcript.pyannote[196].end 3026.71409375
transcript.pyannote[197].speaker SPEAKER_14
transcript.pyannote[197].start 3032.33346875
transcript.pyannote[197].end 3046.64346875
transcript.pyannote[198].speaker SPEAKER_18
transcript.pyannote[198].start 3032.38409375
transcript.pyannote[198].end 3032.53596875
transcript.pyannote[199].speaker SPEAKER_14
transcript.pyannote[199].start 3046.96409375
transcript.pyannote[199].end 3053.19096875
transcript.pyannote[200].speaker SPEAKER_14
transcript.pyannote[200].start 3053.61284375
transcript.pyannote[200].end 3076.47846875
transcript.pyannote[201].speaker SPEAKER_14
transcript.pyannote[201].start 3076.98471875
transcript.pyannote[201].end 3082.38471875
transcript.pyannote[202].speaker SPEAKER_14
transcript.pyannote[202].start 3082.84034375
transcript.pyannote[202].end 3115.17284375
transcript.pyannote[203].speaker SPEAKER_14
transcript.pyannote[203].start 3115.54409375
transcript.pyannote[203].end 3116.82659375
transcript.pyannote[204].speaker SPEAKER_14
transcript.pyannote[204].start 3117.55221875
transcript.pyannote[204].end 3119.89784375
transcript.pyannote[205].speaker SPEAKER_14
transcript.pyannote[205].start 3120.60659375
transcript.pyannote[205].end 3126.32721875
transcript.pyannote[206].speaker SPEAKER_14
transcript.pyannote[206].start 3126.46221875
transcript.pyannote[206].end 3130.66409375
transcript.pyannote[207].speaker SPEAKER_14
transcript.pyannote[207].start 3131.20409375
transcript.pyannote[207].end 3131.87909375
transcript.pyannote[208].speaker SPEAKER_18
transcript.pyannote[208].start 3132.46971875
transcript.pyannote[208].end 3137.90346875
transcript.pyannote[209].speaker SPEAKER_18
transcript.pyannote[209].start 3138.00471875
transcript.pyannote[209].end 3142.84784375
transcript.pyannote[210].speaker SPEAKER_18
transcript.pyannote[210].start 3142.96596875
transcript.pyannote[210].end 3150.61034375
transcript.pyannote[211].speaker SPEAKER_18
transcript.pyannote[211].start 3150.72846875
transcript.pyannote[211].end 3158.96346875
transcript.pyannote[212].speaker SPEAKER_00
transcript.pyannote[212].start 3151.11659375
transcript.pyannote[212].end 3151.28534375
transcript.pyannote[213].speaker SPEAKER_14
transcript.pyannote[213].start 3158.96346875
transcript.pyannote[213].end 3168.37971875
transcript.pyannote[214].speaker SPEAKER_25
transcript.pyannote[214].start 3168.59909375
transcript.pyannote[214].end 3168.71721875
transcript.pyannote[215].speaker SPEAKER_14
transcript.pyannote[215].start 3168.64971875
transcript.pyannote[215].end 3170.72534375
transcript.pyannote[216].speaker SPEAKER_25
transcript.pyannote[216].start 3168.73409375
transcript.pyannote[216].end 3168.86909375
transcript.pyannote[217].speaker SPEAKER_14
transcript.pyannote[217].start 3171.02909375
transcript.pyannote[217].end 3180.04034375
transcript.pyannote[218].speaker SPEAKER_25
transcript.pyannote[218].start 3173.10471875
transcript.pyannote[218].end 3173.84721875
transcript.pyannote[219].speaker SPEAKER_25
transcript.pyannote[219].start 3174.31971875
transcript.pyannote[219].end 3175.16346875
transcript.pyannote[220].speaker SPEAKER_14
transcript.pyannote[220].start 3180.56346875
transcript.pyannote[220].end 3209.23409375
transcript.pyannote[221].speaker SPEAKER_14
transcript.pyannote[221].start 3209.97659375
transcript.pyannote[221].end 3220.86096875
transcript.pyannote[222].speaker SPEAKER_18
transcript.pyannote[222].start 3220.86096875
transcript.pyannote[222].end 3221.83971875
transcript.pyannote[223].speaker SPEAKER_18
transcript.pyannote[223].start 3222.31221875
transcript.pyannote[223].end 3231.67784375
transcript.pyannote[224].speaker SPEAKER_18
transcript.pyannote[224].start 3232.08284375
transcript.pyannote[224].end 3245.48159375
transcript.pyannote[225].speaker SPEAKER_14
transcript.pyannote[225].start 3242.41034375
transcript.pyannote[225].end 3242.46096875
transcript.pyannote[226].speaker SPEAKER_14
transcript.pyannote[226].start 3243.05159375
transcript.pyannote[226].end 3249.49784375
transcript.pyannote[227].speaker SPEAKER_18
transcript.pyannote[227].start 3246.13971875
transcript.pyannote[227].end 3262.32284375
transcript.pyannote[228].speaker SPEAKER_14
transcript.pyannote[228].start 3253.61534375
transcript.pyannote[228].end 3255.11721875
transcript.pyannote[229].speaker SPEAKER_14
transcript.pyannote[229].start 3259.38659375
transcript.pyannote[229].end 3265.71471875
transcript.pyannote[230].speaker SPEAKER_14
transcript.pyannote[230].start 3266.10284375
transcript.pyannote[230].end 3272.58284375
transcript.pyannote[231].speaker SPEAKER_14
transcript.pyannote[231].start 3272.93721875
transcript.pyannote[231].end 3277.94909375
transcript.pyannote[232].speaker SPEAKER_14
transcript.pyannote[232].start 3278.47221875
transcript.pyannote[232].end 3294.43596875
transcript.pyannote[233].speaker SPEAKER_14
transcript.pyannote[233].start 3295.14471875
transcript.pyannote[233].end 3314.88846875
transcript.pyannote[234].speaker SPEAKER_07
transcript.pyannote[234].start 3315.41159375
transcript.pyannote[234].end 3318.73596875
transcript.pyannote[235].speaker SPEAKER_07
transcript.pyannote[235].start 3319.51221875
transcript.pyannote[235].end 3322.78596875
transcript.pyannote[236].speaker SPEAKER_16
transcript.pyannote[236].start 3333.82221875
transcript.pyannote[236].end 3334.81784375
transcript.pyannote[237].speaker SPEAKER_16
transcript.pyannote[237].start 3335.27346875
transcript.pyannote[237].end 3335.91471875
transcript.pyannote[238].speaker SPEAKER_07
transcript.pyannote[238].start 3335.91471875
transcript.pyannote[238].end 3336.18471875
transcript.pyannote[239].speaker SPEAKER_16
transcript.pyannote[239].start 3336.18471875
transcript.pyannote[239].end 3339.03659375
transcript.pyannote[240].speaker SPEAKER_16
transcript.pyannote[240].start 3339.50909375
transcript.pyannote[240].end 3339.61034375
transcript.pyannote[241].speaker SPEAKER_07
transcript.pyannote[241].start 3340.11659375
transcript.pyannote[241].end 3340.13346875
transcript.pyannote[242].speaker SPEAKER_16
transcript.pyannote[242].start 3340.13346875
transcript.pyannote[242].end 3340.70721875
transcript.pyannote[243].speaker SPEAKER_07
transcript.pyannote[243].start 3340.70721875
transcript.pyannote[243].end 3340.72409375
transcript.pyannote[244].speaker SPEAKER_07
transcript.pyannote[244].start 3341.68596875
transcript.pyannote[244].end 3341.73659375
transcript.pyannote[245].speaker SPEAKER_16
transcript.pyannote[245].start 3341.73659375
transcript.pyannote[245].end 3341.97284375
transcript.pyannote[246].speaker SPEAKER_16
transcript.pyannote[246].start 3343.99784375
transcript.pyannote[246].end 3357.04221875
transcript.pyannote[247].speaker SPEAKER_16
transcript.pyannote[247].start 3358.30784375
transcript.pyannote[247].end 3359.26971875
transcript.pyannote[248].speaker SPEAKER_16
transcript.pyannote[248].start 3359.67471875
transcript.pyannote[248].end 3364.99034375
transcript.pyannote[249].speaker SPEAKER_16
transcript.pyannote[249].start 3365.46284375
transcript.pyannote[249].end 3375.30096875
transcript.pyannote[250].speaker SPEAKER_16
transcript.pyannote[250].start 3375.85784375
transcript.pyannote[250].end 3379.51971875
transcript.pyannote[251].speaker SPEAKER_16
transcript.pyannote[251].start 3380.07659375
transcript.pyannote[251].end 3388.48034375
transcript.pyannote[252].speaker SPEAKER_16
transcript.pyannote[252].start 3388.53096875
transcript.pyannote[252].end 3400.57971875
transcript.pyannote[253].speaker SPEAKER_16
transcript.pyannote[253].start 3401.52471875
transcript.pyannote[253].end 3447.01971875
transcript.pyannote[254].speaker SPEAKER_16
transcript.pyannote[254].start 3447.25596875
transcript.pyannote[254].end 3447.93096875
transcript.pyannote[255].speaker SPEAKER_16
transcript.pyannote[255].start 3448.25159375
transcript.pyannote[255].end 3455.77784375
transcript.pyannote[256].speaker SPEAKER_18
transcript.pyannote[256].start 3456.03096875
transcript.pyannote[256].end 3457.02659375
transcript.pyannote[257].speaker SPEAKER_18
transcript.pyannote[257].start 3457.38096875
transcript.pyannote[257].end 3463.10159375
transcript.pyannote[258].speaker SPEAKER_18
transcript.pyannote[258].start 3463.23659375
transcript.pyannote[258].end 3469.41284375
transcript.pyannote[259].speaker SPEAKER_37
transcript.pyannote[259].start 3466.24034375
transcript.pyannote[259].end 3466.69596875
transcript.pyannote[260].speaker SPEAKER_00
transcript.pyannote[260].start 3466.69596875
transcript.pyannote[260].end 3466.71284375
transcript.pyannote[261].speaker SPEAKER_18
transcript.pyannote[261].start 3469.68284375
transcript.pyannote[261].end 3497.50971875
transcript.pyannote[262].speaker SPEAKER_37
transcript.pyannote[262].start 3473.29409375
transcript.pyannote[262].end 3473.31096875
transcript.pyannote[263].speaker SPEAKER_02
transcript.pyannote[263].start 3473.31096875
transcript.pyannote[263].end 3473.73284375
transcript.pyannote[264].speaker SPEAKER_02
transcript.pyannote[264].start 3473.81721875
transcript.pyannote[264].end 3473.88471875
transcript.pyannote[265].speaker SPEAKER_02
transcript.pyannote[265].start 3476.83784375
transcript.pyannote[265].end 3477.20909375
transcript.pyannote[266].speaker SPEAKER_16
transcript.pyannote[266].start 3488.63346875
transcript.pyannote[266].end 3488.90346875
transcript.pyannote[267].speaker SPEAKER_16
transcript.pyannote[267].start 3494.28659375
transcript.pyannote[267].end 3494.64096875
transcript.pyannote[268].speaker SPEAKER_16
transcript.pyannote[268].start 3496.75034375
transcript.pyannote[268].end 3505.40721875
transcript.pyannote[269].speaker SPEAKER_18
transcript.pyannote[269].start 3504.95159375
transcript.pyannote[269].end 3529.15034375
transcript.pyannote[270].speaker SPEAKER_00
transcript.pyannote[270].start 3521.87721875
transcript.pyannote[270].end 3523.32846875
transcript.pyannote[271].speaker SPEAKER_00
transcript.pyannote[271].start 3524.69534375
transcript.pyannote[271].end 3525.01596875
transcript.pyannote[272].speaker SPEAKER_18
transcript.pyannote[272].start 3529.26846875
transcript.pyannote[272].end 3547.47659375
transcript.pyannote[273].speaker SPEAKER_00
transcript.pyannote[273].start 3536.06909375
transcript.pyannote[273].end 3536.44034375
transcript.pyannote[274].speaker SPEAKER_18
transcript.pyannote[274].start 3548.06721875
transcript.pyannote[274].end 3564.68909375
transcript.pyannote[275].speaker SPEAKER_16
transcript.pyannote[275].start 3564.68909375
transcript.pyannote[275].end 3568.77284375
transcript.pyannote[276].speaker SPEAKER_18
transcript.pyannote[276].start 3564.73971875
transcript.pyannote[276].end 3565.21221875
transcript.pyannote[277].speaker SPEAKER_18
transcript.pyannote[277].start 3568.77284375
transcript.pyannote[277].end 3568.78971875
transcript.pyannote[278].speaker SPEAKER_16
transcript.pyannote[278].start 3569.36346875
transcript.pyannote[278].end 3569.61659375
transcript.pyannote[279].speaker SPEAKER_18
transcript.pyannote[279].start 3569.61659375
transcript.pyannote[279].end 3569.65034375
transcript.pyannote[280].speaker SPEAKER_18
transcript.pyannote[280].start 3569.86971875
transcript.pyannote[280].end 3569.88659375
transcript.pyannote[281].speaker SPEAKER_16
transcript.pyannote[281].start 3569.88659375
transcript.pyannote[281].end 3570.03846875
transcript.pyannote[282].speaker SPEAKER_18
transcript.pyannote[282].start 3570.03846875
transcript.pyannote[282].end 3575.47221875
transcript.pyannote[283].speaker SPEAKER_18
transcript.pyannote[283].start 3575.87721875
transcript.pyannote[283].end 3589.49534375
transcript.pyannote[284].speaker SPEAKER_16
transcript.pyannote[284].start 3581.56409375
transcript.pyannote[284].end 3581.88471875
transcript.pyannote[285].speaker SPEAKER_16
transcript.pyannote[285].start 3588.16221875
transcript.pyannote[285].end 3591.72284375
transcript.pyannote[286].speaker SPEAKER_16
transcript.pyannote[286].start 3592.12784375
transcript.pyannote[286].end 3596.80221875
transcript.pyannote[287].speaker SPEAKER_25
transcript.pyannote[287].start 3596.09346875
transcript.pyannote[287].end 3597.07221875
transcript.pyannote[288].speaker SPEAKER_16
transcript.pyannote[288].start 3597.22409375
transcript.pyannote[288].end 3601.02096875
transcript.pyannote[289].speaker SPEAKER_16
transcript.pyannote[289].start 3601.27409375
transcript.pyannote[289].end 3619.58346875
transcript.pyannote[290].speaker SPEAKER_18
transcript.pyannote[290].start 3605.77971875
transcript.pyannote[290].end 3605.89784375
transcript.pyannote[291].speaker SPEAKER_25
transcript.pyannote[291].start 3605.89784375
transcript.pyannote[291].end 3606.06659375
transcript.pyannote[292].speaker SPEAKER_18
transcript.pyannote[292].start 3606.06659375
transcript.pyannote[292].end 3606.13409375
transcript.pyannote[293].speaker SPEAKER_25
transcript.pyannote[293].start 3619.54971875
transcript.pyannote[293].end 3619.56659375
transcript.pyannote[294].speaker SPEAKER_25
transcript.pyannote[294].start 3619.58346875
transcript.pyannote[294].end 3620.02221875
transcript.pyannote[295].speaker SPEAKER_16
transcript.pyannote[295].start 3619.87034375
transcript.pyannote[295].end 3668.99346875
transcript.pyannote[296].speaker SPEAKER_18
transcript.pyannote[296].start 3671.05221875
transcript.pyannote[296].end 3685.39596875
transcript.pyannote[297].speaker SPEAKER_25
transcript.pyannote[297].start 3683.38784375
transcript.pyannote[297].end 3683.97846875
transcript.pyannote[298].speaker SPEAKER_00
transcript.pyannote[298].start 3683.97846875
transcript.pyannote[298].end 3684.01221875
transcript.pyannote[299].speaker SPEAKER_18
transcript.pyannote[299].start 3685.76721875
transcript.pyannote[299].end 3687.42096875
transcript.pyannote[300].speaker SPEAKER_18
transcript.pyannote[300].start 3687.55596875
transcript.pyannote[300].end 3687.97784375
transcript.pyannote[301].speaker SPEAKER_18
transcript.pyannote[301].start 3688.55159375
transcript.pyannote[301].end 3698.49096875
transcript.pyannote[302].speaker SPEAKER_16
transcript.pyannote[302].start 3693.88409375
transcript.pyannote[302].end 3693.96846875
transcript.pyannote[303].speaker SPEAKER_16
transcript.pyannote[303].start 3696.85409375
transcript.pyannote[303].end 3702.92909375
transcript.pyannote[304].speaker SPEAKER_18
transcript.pyannote[304].start 3699.85784375
transcript.pyannote[304].end 3699.99284375
transcript.pyannote[305].speaker SPEAKER_18
transcript.pyannote[305].start 3701.93346875
transcript.pyannote[305].end 3702.81096875
transcript.pyannote[306].speaker SPEAKER_18
transcript.pyannote[306].start 3702.92909375
transcript.pyannote[306].end 3703.33409375
transcript.pyannote[307].speaker SPEAKER_16
transcript.pyannote[307].start 3703.33409375
transcript.pyannote[307].end 3704.41409375
transcript.pyannote[308].speaker SPEAKER_18
transcript.pyannote[308].start 3703.51971875
transcript.pyannote[308].end 3703.55346875
transcript.pyannote[309].speaker SPEAKER_16
transcript.pyannote[309].start 3704.70096875
transcript.pyannote[309].end 3706.62471875
transcript.pyannote[310].speaker SPEAKER_16
transcript.pyannote[310].start 3706.86096875
transcript.pyannote[310].end 3708.17721875
transcript.pyannote[311].speaker SPEAKER_16
transcript.pyannote[311].start 3708.32909375
transcript.pyannote[311].end 3713.05409375
transcript.pyannote[312].speaker SPEAKER_25
transcript.pyannote[312].start 3713.05409375
transcript.pyannote[312].end 3713.45909375
transcript.pyannote[313].speaker SPEAKER_16
transcript.pyannote[313].start 3713.83034375
transcript.pyannote[313].end 3731.05971875
transcript.pyannote[314].speaker SPEAKER_16
transcript.pyannote[314].start 3731.61659375
transcript.pyannote[314].end 3734.06346875
transcript.pyannote[315].speaker SPEAKER_25
transcript.pyannote[315].start 3734.14784375
transcript.pyannote[315].end 3734.48534375
transcript.pyannote[316].speaker SPEAKER_16
transcript.pyannote[316].start 3734.82284375
transcript.pyannote[316].end 3741.10034375
transcript.pyannote[317].speaker SPEAKER_18
transcript.pyannote[317].start 3742.12971875
transcript.pyannote[317].end 3742.48409375
transcript.pyannote[318].speaker SPEAKER_18
transcript.pyannote[318].start 3742.90596875
transcript.pyannote[318].end 3748.06971875
transcript.pyannote[319].speaker SPEAKER_16
transcript.pyannote[319].start 3747.36096875
transcript.pyannote[319].end 3747.78284375
transcript.pyannote[320].speaker SPEAKER_18
transcript.pyannote[320].start 3748.12034375
transcript.pyannote[320].end 3754.63409375
transcript.pyannote[321].speaker SPEAKER_16
transcript.pyannote[321].start 3748.54221875
transcript.pyannote[321].end 3749.13284375
transcript.pyannote[322].speaker SPEAKER_16
transcript.pyannote[322].start 3749.33534375
transcript.pyannote[322].end 3749.75721875
transcript.pyannote[323].speaker SPEAKER_16
transcript.pyannote[323].start 3753.95909375
transcript.pyannote[323].end 3774.85034375
transcript.pyannote[324].speaker SPEAKER_18
transcript.pyannote[324].start 3755.05596875
transcript.pyannote[324].end 3755.25846875
transcript.pyannote[325].speaker SPEAKER_16
transcript.pyannote[325].start 3775.39034375
transcript.pyannote[325].end 3801.12471875
transcript.pyannote[326].speaker SPEAKER_00
transcript.pyannote[326].start 3786.94971875
transcript.pyannote[326].end 3787.40534375
transcript.pyannote[327].speaker SPEAKER_00
transcript.pyannote[327].start 3790.39221875
transcript.pyannote[327].end 3790.57784375
transcript.pyannote[328].speaker SPEAKER_00
transcript.pyannote[328].start 3792.67034375
transcript.pyannote[328].end 3793.36221875
transcript.pyannote[329].speaker SPEAKER_02
transcript.pyannote[329].start 3796.21409375
transcript.pyannote[329].end 3796.43346875
transcript.pyannote[330].speaker SPEAKER_38
transcript.pyannote[330].start 3799.15034375
transcript.pyannote[330].end 3799.70721875
transcript.pyannote[331].speaker SPEAKER_16
transcript.pyannote[331].start 3801.39471875
transcript.pyannote[331].end 3806.50784375
transcript.pyannote[332].speaker SPEAKER_18
transcript.pyannote[332].start 3808.00971875
transcript.pyannote[332].end 3819.04596875
transcript.pyannote[333].speaker SPEAKER_25
transcript.pyannote[333].start 3814.65846875
transcript.pyannote[333].end 3814.67534375
transcript.pyannote[334].speaker SPEAKER_16
transcript.pyannote[334].start 3814.67534375
transcript.pyannote[334].end 3814.84409375
transcript.pyannote[335].speaker SPEAKER_25
transcript.pyannote[335].start 3814.84409375
transcript.pyannote[335].end 3814.99596875
transcript.pyannote[336].speaker SPEAKER_18
transcript.pyannote[336].start 3819.31596875
transcript.pyannote[336].end 3822.79221875
transcript.pyannote[337].speaker SPEAKER_16
transcript.pyannote[337].start 3822.21846875
transcript.pyannote[337].end 3823.95659375
transcript.pyannote[338].speaker SPEAKER_16
transcript.pyannote[338].start 3824.47971875
transcript.pyannote[338].end 3829.27221875
transcript.pyannote[339].speaker SPEAKER_18
transcript.pyannote[339].start 3830.09909375
transcript.pyannote[339].end 3830.16659375
transcript.pyannote[340].speaker SPEAKER_16
transcript.pyannote[340].start 3830.16659375
transcript.pyannote[340].end 3830.21721875
transcript.pyannote[341].speaker SPEAKER_18
transcript.pyannote[341].start 3830.60534375
transcript.pyannote[341].end 3831.98909375
transcript.pyannote[342].speaker SPEAKER_18
transcript.pyannote[342].start 3832.46159375
transcript.pyannote[342].end 3834.65534375
transcript.pyannote[343].speaker SPEAKER_18
transcript.pyannote[343].start 3834.80721875
transcript.pyannote[343].end 3839.24534375
transcript.pyannote[344].speaker SPEAKER_16
transcript.pyannote[344].start 3835.22909375
transcript.pyannote[344].end 3835.68471875
transcript.pyannote[345].speaker SPEAKER_16
transcript.pyannote[345].start 3841.01721875
transcript.pyannote[345].end 3863.98409375
transcript.pyannote[346].speaker SPEAKER_16
transcript.pyannote[346].start 3864.16971875
transcript.pyannote[346].end 3873.26534375
transcript.pyannote[347].speaker SPEAKER_18
transcript.pyannote[347].start 3873.26534375
transcript.pyannote[347].end 3874.59846875
transcript.pyannote[348].speaker SPEAKER_16
transcript.pyannote[348].start 3873.48471875
transcript.pyannote[348].end 3873.77159375
transcript.pyannote[349].speaker SPEAKER_16
transcript.pyannote[349].start 3874.59846875
transcript.pyannote[349].end 3874.76721875
transcript.pyannote[350].speaker SPEAKER_18
transcript.pyannote[350].start 3874.76721875
transcript.pyannote[350].end 3875.94846875
transcript.pyannote[351].speaker SPEAKER_16
transcript.pyannote[351].start 3874.78409375
transcript.pyannote[351].end 3886.88346875
transcript.pyannote[352].speaker SPEAKER_16
transcript.pyannote[352].start 3888.73971875
transcript.pyannote[352].end 3890.24159375
transcript.pyannote[353].speaker SPEAKER_16
transcript.pyannote[353].start 3893.21159375
transcript.pyannote[353].end 3898.94909375
transcript.pyannote[354].speaker SPEAKER_16
transcript.pyannote[354].start 3899.82659375
transcript.pyannote[354].end 3903.50534375
transcript.pyannote[355].speaker SPEAKER_16
transcript.pyannote[355].start 3903.75846875
transcript.pyannote[355].end 3906.40784375
transcript.pyannote[356].speaker SPEAKER_16
transcript.pyannote[356].start 3906.81284375
transcript.pyannote[356].end 3912.61784375
transcript.pyannote[357].speaker SPEAKER_16
transcript.pyannote[357].start 3912.90471875
transcript.pyannote[357].end 3924.51471875
transcript.pyannote[358].speaker SPEAKER_16
transcript.pyannote[358].start 3925.22346875
transcript.pyannote[358].end 3933.93096875
transcript.pyannote[359].speaker SPEAKER_16
transcript.pyannote[359].start 3934.70721875
transcript.pyannote[359].end 3968.94659375
transcript.pyannote[360].speaker SPEAKER_25
transcript.pyannote[360].start 3968.94659375
transcript.pyannote[360].end 3969.30096875
transcript.pyannote[361].speaker SPEAKER_16
transcript.pyannote[361].start 3969.01409375
transcript.pyannote[361].end 3977.14784375
transcript.pyannote[362].speaker SPEAKER_16
transcript.pyannote[362].start 3977.40096875
transcript.pyannote[362].end 3977.41784375
transcript.pyannote[363].speaker SPEAKER_18
transcript.pyannote[363].start 3977.41784375
transcript.pyannote[363].end 3977.45159375
transcript.pyannote[364].speaker SPEAKER_16
transcript.pyannote[364].start 3977.45159375
transcript.pyannote[364].end 3982.66596875
transcript.pyannote[365].speaker SPEAKER_18
transcript.pyannote[365].start 3978.85221875
transcript.pyannote[365].end 3979.32471875
transcript.pyannote[366].speaker SPEAKER_18
transcript.pyannote[366].start 3982.90221875
transcript.pyannote[366].end 3993.46596875
transcript.pyannote[367].speaker SPEAKER_07
transcript.pyannote[367].start 3991.20471875
transcript.pyannote[367].end 3993.02721875
transcript.pyannote[368].speaker SPEAKER_07
transcript.pyannote[368].start 3993.04409375
transcript.pyannote[368].end 3993.06096875
transcript.pyannote[369].speaker SPEAKER_18
transcript.pyannote[369].start 3994.00596875
transcript.pyannote[369].end 3994.02284375
transcript.pyannote[370].speaker SPEAKER_07
transcript.pyannote[370].start 3994.02284375
transcript.pyannote[370].end 3997.02659375
transcript.pyannote[371].speaker SPEAKER_07
transcript.pyannote[371].start 4000.01346875
transcript.pyannote[371].end 4002.59534375
transcript.pyannote[372].speaker SPEAKER_05
transcript.pyannote[372].start 4022.77784375
transcript.pyannote[372].end 4027.87409375
transcript.pyannote[373].speaker SPEAKER_05
transcript.pyannote[373].start 4029.19034375
transcript.pyannote[373].end 4029.54471875
transcript.pyannote[374].speaker SPEAKER_07
transcript.pyannote[374].start 4029.54471875
transcript.pyannote[374].end 4031.38409375
transcript.pyannote[375].speaker SPEAKER_05
transcript.pyannote[375].start 4031.38409375
transcript.pyannote[375].end 4031.41784375
transcript.pyannote[376].speaker SPEAKER_07
transcript.pyannote[376].start 4031.41784375
transcript.pyannote[376].end 4031.48534375
transcript.pyannote[377].speaker SPEAKER_07
transcript.pyannote[377].start 4034.53971875
transcript.pyannote[377].end 4034.55659375
transcript.pyannote[378].speaker SPEAKER_05
transcript.pyannote[378].start 4034.55659375
transcript.pyannote[378].end 4034.84346875
transcript.pyannote[379].speaker SPEAKER_07
transcript.pyannote[379].start 4034.84346875
transcript.pyannote[379].end 4034.89409375
transcript.pyannote[380].speaker SPEAKER_07
transcript.pyannote[380].start 4034.96159375
transcript.pyannote[380].end 4035.02909375
transcript.pyannote[381].speaker SPEAKER_07
transcript.pyannote[381].start 4035.97409375
transcript.pyannote[381].end 4036.04159375
transcript.pyannote[382].speaker SPEAKER_05
transcript.pyannote[382].start 4036.04159375
transcript.pyannote[382].end 4036.88534375
transcript.pyannote[383].speaker SPEAKER_05
transcript.pyannote[383].start 4038.77534375
transcript.pyannote[383].end 4051.27971875
transcript.pyannote[384].speaker SPEAKER_05
transcript.pyannote[384].start 4051.33034375
transcript.pyannote[384].end 4058.24909375
transcript.pyannote[385].speaker SPEAKER_05
transcript.pyannote[385].start 4058.58659375
transcript.pyannote[385].end 4068.05346875
transcript.pyannote[386].speaker SPEAKER_05
transcript.pyannote[386].start 4068.07034375
transcript.pyannote[386].end 4068.10409375
transcript.pyannote[387].speaker SPEAKER_05
transcript.pyannote[387].start 4068.20534375
transcript.pyannote[387].end 4071.88409375
transcript.pyannote[388].speaker SPEAKER_05
transcript.pyannote[388].start 4072.91346875
transcript.pyannote[388].end 4082.05971875
transcript.pyannote[389].speaker SPEAKER_18
transcript.pyannote[389].start 4084.05096875
transcript.pyannote[389].end 4085.65409375
transcript.pyannote[390].speaker SPEAKER_18
transcript.pyannote[390].start 4085.77221875
transcript.pyannote[390].end 4086.34596875
transcript.pyannote[391].speaker SPEAKER_18
transcript.pyannote[391].start 4087.03784375
transcript.pyannote[391].end 4091.67846875
transcript.pyannote[392].speaker SPEAKER_18
transcript.pyannote[392].start 4091.99909375
transcript.pyannote[392].end 4095.10409375
transcript.pyannote[393].speaker SPEAKER_18
transcript.pyannote[393].start 4095.55971875
transcript.pyannote[393].end 4096.87596875
transcript.pyannote[394].speaker SPEAKER_18
transcript.pyannote[394].start 4097.29784375
transcript.pyannote[394].end 4098.15846875
transcript.pyannote[395].speaker SPEAKER_18
transcript.pyannote[395].start 4098.47909375
transcript.pyannote[395].end 4099.62659375
transcript.pyannote[396].speaker SPEAKER_18
transcript.pyannote[396].start 4100.85846875
transcript.pyannote[396].end 4104.53721875
transcript.pyannote[397].speaker SPEAKER_18
transcript.pyannote[397].start 4104.79034375
transcript.pyannote[397].end 4113.43034375
transcript.pyannote[398].speaker SPEAKER_18
transcript.pyannote[398].start 4114.05471875
transcript.pyannote[398].end 4115.64096875
transcript.pyannote[399].speaker SPEAKER_18
transcript.pyannote[399].start 4115.84346875
transcript.pyannote[399].end 4117.58159375
transcript.pyannote[400].speaker SPEAKER_18
transcript.pyannote[400].start 4118.13846875
transcript.pyannote[400].end 4121.10846875
transcript.pyannote[401].speaker SPEAKER_18
transcript.pyannote[401].start 4121.51346875
transcript.pyannote[401].end 4121.73284375
transcript.pyannote[402].speaker SPEAKER_18
transcript.pyannote[402].start 4122.20534375
transcript.pyannote[402].end 4126.45784375
transcript.pyannote[403].speaker SPEAKER_18
transcript.pyannote[403].start 4126.57596875
transcript.pyannote[403].end 4127.31846875
transcript.pyannote[404].speaker SPEAKER_05
transcript.pyannote[404].start 4127.31846875
transcript.pyannote[404].end 4127.33534375
transcript.pyannote[405].speaker SPEAKER_18
transcript.pyannote[405].start 4127.55471875
transcript.pyannote[405].end 4129.02284375
transcript.pyannote[406].speaker SPEAKER_05
transcript.pyannote[406].start 4129.02284375
transcript.pyannote[406].end 4130.55846875
transcript.pyannote[407].speaker SPEAKER_05
transcript.pyannote[407].start 4131.06471875
transcript.pyannote[407].end 4161.23721875
transcript.pyannote[408].speaker SPEAKER_01
transcript.pyannote[408].start 4162.73909375
transcript.pyannote[408].end 4163.88659375
transcript.pyannote[409].speaker SPEAKER_01
transcript.pyannote[409].start 4165.05096875
transcript.pyannote[409].end 4180.50846875
transcript.pyannote[410].speaker SPEAKER_05
transcript.pyannote[410].start 4180.50846875
transcript.pyannote[410].end 4180.87971875
transcript.pyannote[411].speaker SPEAKER_01
transcript.pyannote[411].start 4180.52534375
transcript.pyannote[411].end 4180.98096875
transcript.pyannote[412].speaker SPEAKER_05
transcript.pyannote[412].start 4180.98096875
transcript.pyannote[412].end 4186.02659375
transcript.pyannote[413].speaker SPEAKER_01
transcript.pyannote[413].start 4186.02659375
transcript.pyannote[413].end 4192.25346875
transcript.pyannote[414].speaker SPEAKER_05
transcript.pyannote[414].start 4192.25346875
transcript.pyannote[414].end 4192.27034375
transcript.pyannote[415].speaker SPEAKER_01
transcript.pyannote[415].start 4193.21534375
transcript.pyannote[415].end 4193.97471875
transcript.pyannote[416].speaker SPEAKER_05
transcript.pyannote[416].start 4193.97471875
transcript.pyannote[416].end 4208.26784375
transcript.pyannote[417].speaker SPEAKER_05
transcript.pyannote[417].start 4208.55471875
transcript.pyannote[417].end 4222.15596875
transcript.pyannote[418].speaker SPEAKER_05
transcript.pyannote[418].start 4230.37409375
transcript.pyannote[418].end 4238.79471875
transcript.pyannote[419].speaker SPEAKER_05
transcript.pyannote[419].start 4239.06471875
transcript.pyannote[419].end 4243.13159375
transcript.pyannote[420].speaker SPEAKER_05
transcript.pyannote[420].start 4243.50284375
transcript.pyannote[420].end 4252.80096875
transcript.pyannote[421].speaker SPEAKER_05
transcript.pyannote[421].start 4253.25659375
transcript.pyannote[421].end 4253.62784375
transcript.pyannote[422].speaker SPEAKER_05
transcript.pyannote[422].start 4254.47159375
transcript.pyannote[422].end 4256.19284375
transcript.pyannote[423].speaker SPEAKER_05
transcript.pyannote[423].start 4256.76659375
transcript.pyannote[423].end 4257.74534375
transcript.pyannote[424].speaker SPEAKER_04
transcript.pyannote[424].start 4257.81284375
transcript.pyannote[424].end 4262.97659375
transcript.pyannote[425].speaker SPEAKER_04
transcript.pyannote[425].start 4263.49971875
transcript.pyannote[425].end 4274.60346875
transcript.pyannote[426].speaker SPEAKER_15
transcript.pyannote[426].start 4272.20721875
transcript.pyannote[426].end 4272.25784375
transcript.pyannote[427].speaker SPEAKER_05
transcript.pyannote[427].start 4272.25784375
transcript.pyannote[427].end 4272.81471875
transcript.pyannote[428].speaker SPEAKER_15
transcript.pyannote[428].start 4272.81471875
transcript.pyannote[428].end 4272.91596875
transcript.pyannote[429].speaker SPEAKER_04
transcript.pyannote[429].start 4274.95784375
transcript.pyannote[429].end 4287.19221875
transcript.pyannote[430].speaker SPEAKER_04
transcript.pyannote[430].start 4287.27659375
transcript.pyannote[430].end 4305.07971875
transcript.pyannote[431].speaker SPEAKER_05
transcript.pyannote[431].start 4304.11784375
transcript.pyannote[431].end 4317.06096875
transcript.pyannote[432].speaker SPEAKER_04
transcript.pyannote[432].start 4305.88971875
transcript.pyannote[432].end 4306.51409375
transcript.pyannote[433].speaker SPEAKER_04
transcript.pyannote[433].start 4308.55596875
transcript.pyannote[433].end 4308.60659375
transcript.pyannote[434].speaker SPEAKER_04
transcript.pyannote[434].start 4314.85034375
transcript.pyannote[434].end 4315.18784375
transcript.pyannote[435].speaker SPEAKER_04
transcript.pyannote[435].start 4316.25096875
transcript.pyannote[435].end 4318.76534375
transcript.pyannote[436].speaker SPEAKER_05
transcript.pyannote[436].start 4318.15784375
transcript.pyannote[436].end 4326.62909375
transcript.pyannote[437].speaker SPEAKER_05
transcript.pyannote[437].start 4326.96659375
transcript.pyannote[437].end 4334.98221875
transcript.pyannote[438].speaker SPEAKER_05
transcript.pyannote[438].start 4335.40409375
transcript.pyannote[438].end 4346.65971875
transcript.pyannote[439].speaker SPEAKER_05
transcript.pyannote[439].start 4346.92971875
transcript.pyannote[439].end 4350.54096875
transcript.pyannote[440].speaker SPEAKER_05
transcript.pyannote[440].start 4350.96284375
transcript.pyannote[440].end 4356.14346875
transcript.pyannote[441].speaker SPEAKER_05
transcript.pyannote[441].start 4356.63284375
transcript.pyannote[441].end 4367.85471875
transcript.pyannote[442].speaker SPEAKER_05
transcript.pyannote[442].start 4368.22596875
transcript.pyannote[442].end 4368.39471875
transcript.pyannote[443].speaker SPEAKER_05
transcript.pyannote[443].start 4368.61409375
transcript.pyannote[443].end 4380.89909375
transcript.pyannote[444].speaker SPEAKER_05
transcript.pyannote[444].start 4380.94971875
transcript.pyannote[444].end 4385.16846875
transcript.pyannote[445].speaker SPEAKER_05
transcript.pyannote[445].start 4385.62409375
transcript.pyannote[445].end 4398.01034375
transcript.pyannote[446].speaker SPEAKER_25
transcript.pyannote[446].start 4390.58534375
transcript.pyannote[446].end 4390.61909375
transcript.pyannote[447].speaker SPEAKER_05
transcript.pyannote[447].start 4398.82034375
transcript.pyannote[447].end 4416.48846875
transcript.pyannote[448].speaker SPEAKER_05
transcript.pyannote[448].start 4416.52221875
transcript.pyannote[448].end 4417.29846875
transcript.pyannote[449].speaker SPEAKER_05
transcript.pyannote[449].start 4418.24346875
transcript.pyannote[449].end 4418.66534375
transcript.pyannote[450].speaker SPEAKER_05
transcript.pyannote[450].start 4418.80034375
transcript.pyannote[450].end 4430.20784375
transcript.pyannote[451].speaker SPEAKER_05
transcript.pyannote[451].start 4430.35971875
transcript.pyannote[451].end 4434.20721875
transcript.pyannote[452].speaker SPEAKER_05
transcript.pyannote[452].start 4434.27471875
transcript.pyannote[452].end 4435.06784375
transcript.pyannote[453].speaker SPEAKER_05
transcript.pyannote[453].start 4435.55721875
transcript.pyannote[453].end 4436.97471875
transcript.pyannote[454].speaker SPEAKER_05
transcript.pyannote[454].start 4437.46409375
transcript.pyannote[454].end 4441.81784375
transcript.pyannote[455].speaker SPEAKER_05
transcript.pyannote[455].start 4442.02034375
transcript.pyannote[455].end 4444.93971875
transcript.pyannote[456].speaker SPEAKER_05
transcript.pyannote[456].start 4446.18846875
transcript.pyannote[456].end 4448.36534375
transcript.pyannote[457].speaker SPEAKER_05
transcript.pyannote[457].start 4449.07409375
transcript.pyannote[457].end 4450.40721875
transcript.pyannote[458].speaker SPEAKER_05
transcript.pyannote[458].start 4450.74471875
transcript.pyannote[458].end 4451.16659375
transcript.pyannote[459].speaker SPEAKER_05
transcript.pyannote[459].start 4451.58846875
transcript.pyannote[459].end 4453.44471875
transcript.pyannote[460].speaker SPEAKER_05
transcript.pyannote[460].start 4453.69784375
transcript.pyannote[460].end 4476.88409375
transcript.pyannote[461].speaker SPEAKER_25
transcript.pyannote[461].start 4477.10346875
transcript.pyannote[461].end 4477.30596875
transcript.pyannote[462].speaker SPEAKER_05
transcript.pyannote[462].start 4477.33971875
transcript.pyannote[462].end 4478.60534375
transcript.pyannote[463].speaker SPEAKER_05
transcript.pyannote[463].start 4478.95971875
transcript.pyannote[463].end 4487.48159375
transcript.pyannote[464].speaker SPEAKER_05
transcript.pyannote[464].start 4487.80221875
transcript.pyannote[464].end 4494.65346875
transcript.pyannote[465].speaker SPEAKER_05
transcript.pyannote[465].start 4495.32846875
transcript.pyannote[465].end 4500.59346875
transcript.pyannote[466].speaker SPEAKER_05
transcript.pyannote[466].start 4501.20096875
transcript.pyannote[466].end 4506.65159375
transcript.pyannote[467].speaker SPEAKER_04
transcript.pyannote[467].start 4507.32659375
transcript.pyannote[467].end 4515.56159375
transcript.pyannote[468].speaker SPEAKER_05
transcript.pyannote[468].start 4512.54096875
transcript.pyannote[468].end 4521.77159375
transcript.pyannote[469].speaker SPEAKER_04
transcript.pyannote[469].start 4518.81846875
transcript.pyannote[469].end 4520.18534375
transcript.pyannote[470].speaker SPEAKER_04
transcript.pyannote[470].start 4520.84346875
transcript.pyannote[470].end 4539.06846875
transcript.pyannote[471].speaker SPEAKER_05
transcript.pyannote[471].start 4537.60034375
transcript.pyannote[471].end 4556.97284375
transcript.pyannote[472].speaker SPEAKER_04
transcript.pyannote[472].start 4539.76034375
transcript.pyannote[472].end 4540.70534375
transcript.pyannote[473].speaker SPEAKER_04
transcript.pyannote[473].start 4541.86971875
transcript.pyannote[473].end 4542.59534375
transcript.pyannote[474].speaker SPEAKER_04
transcript.pyannote[474].start 4545.17721875
transcript.pyannote[474].end 4547.13471875
transcript.pyannote[475].speaker SPEAKER_04
transcript.pyannote[475].start 4553.44596875
transcript.pyannote[475].end 4553.88471875
transcript.pyannote[476].speaker SPEAKER_04
transcript.pyannote[476].start 4554.00284375
transcript.pyannote[476].end 4559.48721875
transcript.pyannote[477].speaker SPEAKER_05
transcript.pyannote[477].start 4558.01909375
transcript.pyannote[477].end 4579.33221875
transcript.pyannote[478].speaker SPEAKER_04
transcript.pyannote[478].start 4560.49971875
transcript.pyannote[478].end 4563.41909375
transcript.pyannote[479].speaker SPEAKER_05
transcript.pyannote[479].start 4579.46721875
transcript.pyannote[479].end 4587.22971875
transcript.pyannote[480].speaker SPEAKER_05
transcript.pyannote[480].start 4587.55034375
transcript.pyannote[480].end 4595.12721875
transcript.pyannote[481].speaker SPEAKER_05
transcript.pyannote[481].start 4595.34659375
transcript.pyannote[481].end 4595.76846875
transcript.pyannote[482].speaker SPEAKER_05
transcript.pyannote[482].start 4596.61221875
transcript.pyannote[482].end 4597.00034375
transcript.pyannote[483].speaker SPEAKER_05
transcript.pyannote[483].start 4597.47284375
transcript.pyannote[483].end 4618.31346875
transcript.pyannote[484].speaker SPEAKER_05
transcript.pyannote[484].start 4618.66784375
transcript.pyannote[484].end 4619.02221875
transcript.pyannote[485].speaker SPEAKER_05
transcript.pyannote[485].start 4619.52846875
transcript.pyannote[485].end 4619.98409375
transcript.pyannote[486].speaker SPEAKER_05
transcript.pyannote[486].start 4620.54096875
transcript.pyannote[486].end 4626.97034375
transcript.pyannote[487].speaker SPEAKER_05
transcript.pyannote[487].start 4627.35846875
transcript.pyannote[487].end 4633.24784375
transcript.pyannote[488].speaker SPEAKER_05
transcript.pyannote[488].start 4633.46721875
transcript.pyannote[488].end 4640.35221875
transcript.pyannote[489].speaker SPEAKER_05
transcript.pyannote[489].start 4640.75721875
transcript.pyannote[489].end 4656.67034375
transcript.pyannote[490].speaker SPEAKER_18
transcript.pyannote[490].start 4656.29909375
transcript.pyannote[490].end 4656.33284375
transcript.pyannote[491].speaker SPEAKER_25
transcript.pyannote[491].start 4656.33284375
transcript.pyannote[491].end 4656.40034375
transcript.pyannote[492].speaker SPEAKER_18
transcript.pyannote[492].start 4656.40034375
transcript.pyannote[492].end 4656.65346875
transcript.pyannote[493].speaker SPEAKER_18
transcript.pyannote[493].start 4656.67034375
transcript.pyannote[493].end 4657.54784375
transcript.pyannote[494].speaker SPEAKER_25
transcript.pyannote[494].start 4657.54784375
transcript.pyannote[494].end 4657.56471875
transcript.pyannote[495].speaker SPEAKER_18
transcript.pyannote[495].start 4659.04971875
transcript.pyannote[495].end 4660.34909375
transcript.pyannote[496].speaker SPEAKER_07
transcript.pyannote[496].start 4660.34909375
transcript.pyannote[496].end 4664.83784375
transcript.pyannote[497].speaker SPEAKER_05
transcript.pyannote[497].start 4660.38284375
transcript.pyannote[497].end 4660.43346875
transcript.pyannote[498].speaker SPEAKER_18
transcript.pyannote[498].start 4665.12471875
transcript.pyannote[498].end 4665.85034375
transcript.pyannote[499].speaker SPEAKER_18
transcript.pyannote[499].start 4665.96846875
transcript.pyannote[499].end 4666.03596875
transcript.pyannote[500].speaker SPEAKER_26
transcript.pyannote[500].start 4677.20721875
transcript.pyannote[500].end 4678.11846875
transcript.pyannote[501].speaker SPEAKER_26
transcript.pyannote[501].start 4678.79346875
transcript.pyannote[501].end 4679.26596875
transcript.pyannote[502].speaker SPEAKER_26
transcript.pyannote[502].start 4679.87346875
transcript.pyannote[502].end 4681.35846875
transcript.pyannote[503].speaker SPEAKER_07
transcript.pyannote[503].start 4682.18534375
transcript.pyannote[503].end 4683.56909375
transcript.pyannote[504].speaker SPEAKER_04
transcript.pyannote[504].start 4690.04909375
transcript.pyannote[504].end 4690.58909375
transcript.pyannote[505].speaker SPEAKER_26
transcript.pyannote[505].start 4690.58909375
transcript.pyannote[505].end 4693.40721875
transcript.pyannote[506].speaker SPEAKER_26
transcript.pyannote[506].start 4693.77846875
transcript.pyannote[506].end 4718.39909375
transcript.pyannote[507].speaker SPEAKER_26
transcript.pyannote[507].start 4718.71971875
transcript.pyannote[507].end 4719.19221875
transcript.pyannote[508].speaker SPEAKER_26
transcript.pyannote[508].start 4719.36096875
transcript.pyannote[508].end 4720.60971875
transcript.pyannote[509].speaker SPEAKER_25
transcript.pyannote[509].start 4720.84596875
transcript.pyannote[509].end 4721.03159375
transcript.pyannote[510].speaker SPEAKER_26
transcript.pyannote[510].start 4721.03159375
transcript.pyannote[510].end 4722.16221875
transcript.pyannote[511].speaker SPEAKER_25
transcript.pyannote[511].start 4721.08221875
transcript.pyannote[511].end 4721.09909375
transcript.pyannote[512].speaker SPEAKER_26
transcript.pyannote[512].start 4722.53346875
transcript.pyannote[512].end 4725.72284375
transcript.pyannote[513].speaker SPEAKER_26
transcript.pyannote[513].start 4726.06034375
transcript.pyannote[513].end 4728.86159375
transcript.pyannote[514].speaker SPEAKER_26
transcript.pyannote[514].start 4729.16534375
transcript.pyannote[514].end 4730.31284375
transcript.pyannote[515].speaker SPEAKER_26
transcript.pyannote[515].start 4730.56596875
transcript.pyannote[515].end 4736.89409375
transcript.pyannote[516].speaker SPEAKER_04
transcript.pyannote[516].start 4736.89409375
transcript.pyannote[516].end 4737.02909375
transcript.pyannote[517].speaker SPEAKER_25
transcript.pyannote[517].start 4737.02909375
transcript.pyannote[517].end 4737.72096875
transcript.pyannote[518].speaker SPEAKER_04
transcript.pyannote[518].start 4738.59846875
transcript.pyannote[518].end 4738.78409375
transcript.pyannote[519].speaker SPEAKER_04
transcript.pyannote[519].start 4738.88534375
transcript.pyannote[519].end 4756.77284375
transcript.pyannote[520].speaker SPEAKER_25
transcript.pyannote[520].start 4747.13721875
transcript.pyannote[520].end 4747.50846875
transcript.pyannote[521].speaker SPEAKER_25
transcript.pyannote[521].start 4752.04784375
transcript.pyannote[521].end 4752.99284375
transcript.pyannote[522].speaker SPEAKER_25
transcript.pyannote[522].start 4753.16159375
transcript.pyannote[522].end 4753.27971875
transcript.pyannote[523].speaker SPEAKER_04
transcript.pyannote[523].start 4756.97534375
transcript.pyannote[523].end 4758.30846875
transcript.pyannote[524].speaker SPEAKER_04
transcript.pyannote[524].start 4758.47721875
transcript.pyannote[524].end 4771.97721875
transcript.pyannote[525].speaker SPEAKER_25
transcript.pyannote[525].start 4763.38784375
transcript.pyannote[525].end 4763.52284375
transcript.pyannote[526].speaker SPEAKER_26
transcript.pyannote[526].start 4763.52284375
transcript.pyannote[526].end 4763.60721875
transcript.pyannote[527].speaker SPEAKER_26
transcript.pyannote[527].start 4771.43721875
transcript.pyannote[527].end 4776.11159375
transcript.pyannote[528].speaker SPEAKER_04
transcript.pyannote[528].start 4772.29784375
transcript.pyannote[528].end 4772.63534375
transcript.pyannote[529].speaker SPEAKER_04
transcript.pyannote[529].start 4773.24284375
transcript.pyannote[529].end 4773.54659375
transcript.pyannote[530].speaker SPEAKER_04
transcript.pyannote[530].start 4776.11159375
transcript.pyannote[530].end 4777.83284375
transcript.pyannote[531].speaker SPEAKER_26
transcript.pyannote[531].start 4776.95534375
transcript.pyannote[531].end 4780.17846875
transcript.pyannote[532].speaker SPEAKER_04
transcript.pyannote[532].start 4779.82409375
transcript.pyannote[532].end 4779.84096875
transcript.pyannote[533].speaker SPEAKER_04
transcript.pyannote[533].start 4780.33034375
transcript.pyannote[533].end 4790.38784375
transcript.pyannote[534].speaker SPEAKER_26
transcript.pyannote[534].start 4790.03346875
transcript.pyannote[534].end 4794.15096875
transcript.pyannote[535].speaker SPEAKER_04
transcript.pyannote[535].start 4794.15096875
transcript.pyannote[535].end 4800.25971875
transcript.pyannote[536].speaker SPEAKER_04
transcript.pyannote[536].start 4800.46221875
transcript.pyannote[536].end 4803.09471875
transcript.pyannote[537].speaker SPEAKER_04
transcript.pyannote[537].start 4803.11159375
transcript.pyannote[537].end 4804.81596875
transcript.pyannote[538].speaker SPEAKER_04
transcript.pyannote[538].start 4805.20409375
transcript.pyannote[538].end 4810.35096875
transcript.pyannote[539].speaker SPEAKER_26
transcript.pyannote[539].start 4809.62534375
transcript.pyannote[539].end 4811.31284375
transcript.pyannote[540].speaker SPEAKER_04
transcript.pyannote[540].start 4811.66721875
transcript.pyannote[540].end 4827.32721875
transcript.pyannote[541].speaker SPEAKER_26
transcript.pyannote[541].start 4824.52596875
transcript.pyannote[541].end 4825.36971875
transcript.pyannote[542].speaker SPEAKER_26
transcript.pyannote[542].start 4826.09534375
transcript.pyannote[542].end 4832.84534375
transcript.pyannote[543].speaker SPEAKER_26
transcript.pyannote[543].start 4833.09846875
transcript.pyannote[543].end 4841.85659375
transcript.pyannote[544].speaker SPEAKER_04
transcript.pyannote[544].start 4837.45221875
transcript.pyannote[544].end 4837.90784375
transcript.pyannote[545].speaker SPEAKER_04
transcript.pyannote[545].start 4838.83596875
transcript.pyannote[545].end 4839.17346875
transcript.pyannote[546].speaker SPEAKER_04
transcript.pyannote[546].start 4842.22784375
transcript.pyannote[546].end 4845.01221875
transcript.pyannote[547].speaker SPEAKER_03
transcript.pyannote[547].start 4843.91534375
transcript.pyannote[547].end 4843.96596875
transcript.pyannote[548].speaker SPEAKER_03
transcript.pyannote[548].start 4843.99971875
transcript.pyannote[548].end 4844.16846875
transcript.pyannote[549].speaker SPEAKER_26
transcript.pyannote[549].start 4844.16846875
transcript.pyannote[549].end 4844.18534375
transcript.pyannote[550].speaker SPEAKER_03
transcript.pyannote[550].start 4845.82221875
transcript.pyannote[550].end 4868.28284375
transcript.pyannote[551].speaker SPEAKER_26
transcript.pyannote[551].start 4867.45596875
transcript.pyannote[551].end 4871.10096875
transcript.pyannote[552].speaker SPEAKER_03
transcript.pyannote[552].start 4869.07596875
transcript.pyannote[552].end 4869.97034375
transcript.pyannote[553].speaker SPEAKER_26
transcript.pyannote[553].start 4871.30346875
transcript.pyannote[553].end 4874.30721875
transcript.pyannote[554].speaker SPEAKER_03
transcript.pyannote[554].start 4874.72909375
transcript.pyannote[554].end 4874.98221875
transcript.pyannote[555].speaker SPEAKER_26
transcript.pyannote[555].start 4874.98221875
transcript.pyannote[555].end 4876.04534375
transcript.pyannote[556].speaker SPEAKER_03
transcript.pyannote[556].start 4876.36596875
transcript.pyannote[556].end 4876.97346875
transcript.pyannote[557].speaker SPEAKER_26
transcript.pyannote[557].start 4877.41221875
transcript.pyannote[557].end 4881.71534375
transcript.pyannote[558].speaker SPEAKER_03
transcript.pyannote[558].start 4877.81721875
transcript.pyannote[558].end 4879.04909375
transcript.pyannote[559].speaker SPEAKER_03
transcript.pyannote[559].start 4882.37346875
transcript.pyannote[559].end 4884.12846875
transcript.pyannote[560].speaker SPEAKER_26
transcript.pyannote[560].start 4884.49971875
transcript.pyannote[560].end 4889.93346875
transcript.pyannote[561].speaker SPEAKER_25
transcript.pyannote[561].start 4889.88284375
transcript.pyannote[561].end 4890.30471875
transcript.pyannote[562].speaker SPEAKER_26
transcript.pyannote[562].start 4890.20346875
transcript.pyannote[562].end 4914.99284375
transcript.pyannote[563].speaker SPEAKER_25
transcript.pyannote[563].start 4902.40409375
transcript.pyannote[563].end 4902.55596875
transcript.pyannote[564].speaker SPEAKER_25
transcript.pyannote[564].start 4902.58971875
transcript.pyannote[564].end 4902.82596875
transcript.pyannote[565].speaker SPEAKER_03
transcript.pyannote[565].start 4914.99284375
transcript.pyannote[565].end 4919.97096875
transcript.pyannote[566].speaker SPEAKER_26
transcript.pyannote[566].start 4919.97096875
transcript.pyannote[566].end 4920.03846875
transcript.pyannote[567].speaker SPEAKER_03
transcript.pyannote[567].start 4920.03846875
transcript.pyannote[567].end 4925.86034375
transcript.pyannote[568].speaker SPEAKER_26
transcript.pyannote[568].start 4924.52721875
transcript.pyannote[568].end 4933.01534375
transcript.pyannote[569].speaker SPEAKER_03
transcript.pyannote[569].start 4929.43784375
transcript.pyannote[569].end 4930.24784375
transcript.pyannote[570].speaker SPEAKER_03
transcript.pyannote[570].start 4932.07034375
transcript.pyannote[570].end 4941.41909375
transcript.pyannote[571].speaker SPEAKER_26
transcript.pyannote[571].start 4934.63534375
transcript.pyannote[571].end 4935.00659375
transcript.pyannote[572].speaker SPEAKER_26
transcript.pyannote[572].start 4937.35221875
transcript.pyannote[572].end 4937.45346875
transcript.pyannote[573].speaker SPEAKER_26
transcript.pyannote[573].start 4940.96346875
transcript.pyannote[573].end 4942.60034375
transcript.pyannote[574].speaker SPEAKER_03
transcript.pyannote[574].start 4942.60034375
transcript.pyannote[574].end 4942.88721875
transcript.pyannote[575].speaker SPEAKER_26
transcript.pyannote[575].start 4942.88721875
transcript.pyannote[575].end 4944.50721875
transcript.pyannote[576].speaker SPEAKER_03
transcript.pyannote[576].start 4944.76034375
transcript.pyannote[576].end 4945.75596875
transcript.pyannote[577].speaker SPEAKER_26
transcript.pyannote[577].start 4945.68846875
transcript.pyannote[577].end 4951.18971875
transcript.pyannote[578].speaker SPEAKER_03
transcript.pyannote[578].start 4946.32971875
transcript.pyannote[578].end 4946.73471875
transcript.pyannote[579].speaker SPEAKER_03
transcript.pyannote[579].start 4951.39221875
transcript.pyannote[579].end 4952.23596875
transcript.pyannote[580].speaker SPEAKER_26
transcript.pyannote[580].start 4951.81409375
transcript.pyannote[580].end 4957.51784375
transcript.pyannote[581].speaker SPEAKER_03
transcript.pyannote[581].start 4957.46721875
transcript.pyannote[581].end 4957.48409375
transcript.pyannote[582].speaker SPEAKER_03
transcript.pyannote[582].start 4957.51784375
transcript.pyannote[582].end 4976.87346875
transcript.pyannote[583].speaker SPEAKER_26
transcript.pyannote[583].start 4958.86784375
transcript.pyannote[583].end 4958.91846875
transcript.pyannote[584].speaker SPEAKER_26
transcript.pyannote[584].start 4961.24721875
transcript.pyannote[584].end 4961.60159375
transcript.pyannote[585].speaker SPEAKER_26
transcript.pyannote[585].start 4969.12784375
transcript.pyannote[585].end 4969.49909375
transcript.pyannote[586].speaker SPEAKER_26
transcript.pyannote[586].start 4976.36721875
transcript.pyannote[586].end 4977.36284375
transcript.pyannote[587].speaker SPEAKER_03
transcript.pyannote[587].start 4977.36284375
transcript.pyannote[587].end 4983.55596875
transcript.pyannote[588].speaker SPEAKER_26
transcript.pyannote[588].start 4980.45096875
transcript.pyannote[588].end 4980.80534375
transcript.pyannote[589].speaker SPEAKER_26
transcript.pyannote[589].start 4983.87659375
transcript.pyannote[589].end 4989.44534375
transcript.pyannote[590].speaker SPEAKER_32
transcript.pyannote[590].start 4989.34409375
transcript.pyannote[590].end 4989.69846875
transcript.pyannote[591].speaker SPEAKER_26
transcript.pyannote[591].start 4989.66471875
transcript.pyannote[591].end 5000.61659375
transcript.pyannote[592].speaker SPEAKER_32
transcript.pyannote[592].start 4997.74784375
transcript.pyannote[592].end 4997.78159375
transcript.pyannote[593].speaker SPEAKER_03
transcript.pyannote[593].start 4997.78159375
transcript.pyannote[593].end 4998.23721875
transcript.pyannote[594].speaker SPEAKER_03
transcript.pyannote[594].start 5000.61659375
transcript.pyannote[594].end 5004.64971875
transcript.pyannote[595].speaker SPEAKER_26
transcript.pyannote[595].start 5001.32534375
transcript.pyannote[595].end 5001.71346875
transcript.pyannote[596].speaker SPEAKER_26
transcript.pyannote[596].start 5004.37971875
transcript.pyannote[596].end 5016.71534375
transcript.pyannote[597].speaker SPEAKER_03
transcript.pyannote[597].start 5011.06221875
transcript.pyannote[597].end 5011.34909375
transcript.pyannote[598].speaker SPEAKER_26
transcript.pyannote[598].start 5016.83346875
transcript.pyannote[598].end 5022.84096875
transcript.pyannote[599].speaker SPEAKER_26
transcript.pyannote[599].start 5022.97596875
transcript.pyannote[599].end 5034.02909375
transcript.pyannote[600].speaker SPEAKER_04
transcript.pyannote[600].start 5035.14284375
transcript.pyannote[600].end 5040.35721875
transcript.pyannote[601].speaker SPEAKER_04
transcript.pyannote[601].start 5040.62721875
transcript.pyannote[601].end 5061.87284375
transcript.pyannote[602].speaker SPEAKER_00
transcript.pyannote[602].start 5048.45721875
transcript.pyannote[602].end 5048.86221875
transcript.pyannote[603].speaker SPEAKER_26
transcript.pyannote[603].start 5053.06409375
transcript.pyannote[603].end 5053.35096875
transcript.pyannote[604].speaker SPEAKER_26
transcript.pyannote[604].start 5054.97096875
transcript.pyannote[604].end 5055.00471875
transcript.pyannote[605].speaker SPEAKER_26
transcript.pyannote[605].start 5055.22409375
transcript.pyannote[605].end 5055.47721875
transcript.pyannote[606].speaker SPEAKER_26
transcript.pyannote[606].start 5058.90284375
transcript.pyannote[606].end 5059.40909375
transcript.pyannote[607].speaker SPEAKER_26
transcript.pyannote[607].start 5061.11346875
transcript.pyannote[607].end 5063.42534375
transcript.pyannote[608].speaker SPEAKER_04
transcript.pyannote[608].start 5063.35784375
transcript.pyannote[608].end 5067.99846875
transcript.pyannote[609].speaker SPEAKER_26
transcript.pyannote[609].start 5067.98159375
transcript.pyannote[609].end 5069.82096875
transcript.pyannote[610].speaker SPEAKER_04
transcript.pyannote[610].start 5068.57221875
transcript.pyannote[610].end 5075.57534375
transcript.pyannote[611].speaker SPEAKER_26
transcript.pyannote[611].start 5075.03534375
transcript.pyannote[611].end 5079.16971875
transcript.pyannote[612].speaker SPEAKER_04
transcript.pyannote[612].start 5076.82409375
transcript.pyannote[612].end 5079.87846875
transcript.pyannote[613].speaker SPEAKER_07
transcript.pyannote[613].start 5079.16971875
transcript.pyannote[613].end 5079.18659375
transcript.pyannote[614].speaker SPEAKER_04
transcript.pyannote[614].start 5081.65034375
transcript.pyannote[614].end 5081.66721875
transcript.pyannote[615].speaker SPEAKER_07
transcript.pyannote[615].start 5081.66721875
transcript.pyannote[615].end 5082.66284375
transcript.pyannote[616].speaker SPEAKER_07
transcript.pyannote[616].start 5083.21971875
transcript.pyannote[616].end 5087.50596875
transcript.pyannote[617].speaker SPEAKER_00
transcript.pyannote[617].start 5095.97721875
transcript.pyannote[617].end 5096.36534375
transcript.pyannote[618].speaker SPEAKER_21
transcript.pyannote[618].start 5101.69784375
transcript.pyannote[618].end 5103.60471875
transcript.pyannote[619].speaker SPEAKER_07
transcript.pyannote[619].start 5104.04346875
transcript.pyannote[619].end 5104.98846875
transcript.pyannote[620].speaker SPEAKER_21
transcript.pyannote[620].start 5109.12284375
transcript.pyannote[620].end 5109.78096875
transcript.pyannote[621].speaker SPEAKER_21
transcript.pyannote[621].start 5110.11846875
transcript.pyannote[621].end 5131.65096875
transcript.pyannote[622].speaker SPEAKER_21
transcript.pyannote[622].start 5132.41034375
transcript.pyannote[622].end 5142.97409375
transcript.pyannote[623].speaker SPEAKER_18
transcript.pyannote[623].start 5143.37909375
transcript.pyannote[623].end 5143.63221875
transcript.pyannote[624].speaker SPEAKER_18
transcript.pyannote[624].start 5143.88534375
transcript.pyannote[624].end 5151.78284375
transcript.pyannote[625].speaker SPEAKER_18
transcript.pyannote[625].start 5152.13721875
transcript.pyannote[625].end 5159.32596875
transcript.pyannote[626].speaker SPEAKER_18
transcript.pyannote[626].start 5159.61284375
transcript.pyannote[626].end 5159.78159375
transcript.pyannote[627].speaker SPEAKER_21
transcript.pyannote[627].start 5160.18659375
transcript.pyannote[627].end 5168.92784375
transcript.pyannote[628].speaker SPEAKER_18
transcript.pyannote[628].start 5167.00409375
transcript.pyannote[628].end 5172.69096875
transcript.pyannote[629].speaker SPEAKER_21
transcript.pyannote[629].start 5170.63221875
transcript.pyannote[629].end 5171.03721875
transcript.pyannote[630].speaker SPEAKER_21
transcript.pyannote[630].start 5171.62784375
transcript.pyannote[630].end 5174.36159375
transcript.pyannote[631].speaker SPEAKER_18
transcript.pyannote[631].start 5174.42909375
transcript.pyannote[631].end 5186.93346875
transcript.pyannote[632].speaker SPEAKER_21
transcript.pyannote[632].start 5176.67346875
transcript.pyannote[632].end 5177.71971875
transcript.pyannote[633].speaker SPEAKER_20
transcript.pyannote[633].start 5177.71971875
transcript.pyannote[633].end 5177.73659375
transcript.pyannote[634].speaker SPEAKER_21
transcript.pyannote[634].start 5181.65159375
transcript.pyannote[634].end 5182.00596875
transcript.pyannote[635].speaker SPEAKER_20
transcript.pyannote[635].start 5182.83284375
transcript.pyannote[635].end 5182.84971875
transcript.pyannote[636].speaker SPEAKER_21
transcript.pyannote[636].start 5182.84971875
transcript.pyannote[636].end 5183.32221875
transcript.pyannote[637].speaker SPEAKER_21
transcript.pyannote[637].start 5186.89971875
transcript.pyannote[637].end 5186.91659375
transcript.pyannote[638].speaker SPEAKER_21
transcript.pyannote[638].start 5186.93346875
transcript.pyannote[638].end 5189.68409375
transcript.pyannote[639].speaker SPEAKER_21
transcript.pyannote[639].start 5190.44346875
transcript.pyannote[639].end 5205.79971875
transcript.pyannote[640].speaker SPEAKER_21
transcript.pyannote[640].start 5206.15409375
transcript.pyannote[640].end 5209.12409375
transcript.pyannote[641].speaker SPEAKER_18
transcript.pyannote[641].start 5210.25471875
transcript.pyannote[641].end 5210.64284375
transcript.pyannote[642].speaker SPEAKER_18
transcript.pyannote[642].start 5211.01409375
transcript.pyannote[642].end 5218.92846875
transcript.pyannote[643].speaker SPEAKER_18
transcript.pyannote[643].start 5219.56971875
transcript.pyannote[643].end 5223.65346875
transcript.pyannote[644].speaker SPEAKER_21
transcript.pyannote[644].start 5222.99534375
transcript.pyannote[644].end 5223.36659375
transcript.pyannote[645].speaker SPEAKER_21
transcript.pyannote[645].start 5223.65346875
transcript.pyannote[645].end 5234.31846875
transcript.pyannote[646].speaker SPEAKER_18
transcript.pyannote[646].start 5234.28471875
transcript.pyannote[646].end 5236.64721875
transcript.pyannote[647].speaker SPEAKER_21
transcript.pyannote[647].start 5236.81596875
transcript.pyannote[647].end 5237.74409375
transcript.pyannote[648].speaker SPEAKER_18
transcript.pyannote[648].start 5236.98471875
transcript.pyannote[648].end 5239.75221875
transcript.pyannote[649].speaker SPEAKER_18
transcript.pyannote[649].start 5240.22471875
transcript.pyannote[649].end 5242.04721875
transcript.pyannote[650].speaker SPEAKER_18
transcript.pyannote[650].start 5242.60409375
transcript.pyannote[650].end 5246.19846875
transcript.pyannote[651].speaker SPEAKER_21
transcript.pyannote[651].start 5246.19846875
transcript.pyannote[651].end 5248.62846875
transcript.pyannote[652].speaker SPEAKER_21
transcript.pyannote[652].start 5249.52284375
transcript.pyannote[652].end 5284.62284375
transcript.pyannote[653].speaker SPEAKER_21
transcript.pyannote[653].start 5284.87596875
transcript.pyannote[653].end 5285.73659375
transcript.pyannote[654].speaker SPEAKER_21
transcript.pyannote[654].start 5285.80409375
transcript.pyannote[654].end 5287.42409375
transcript.pyannote[655].speaker SPEAKER_21
transcript.pyannote[655].start 5287.81221875
transcript.pyannote[655].end 5290.22534375
transcript.pyannote[656].speaker SPEAKER_18
transcript.pyannote[656].start 5295.13596875
transcript.pyannote[656].end 5295.20346875
transcript.pyannote[657].speaker SPEAKER_21
transcript.pyannote[657].start 5295.20346875
transcript.pyannote[657].end 5295.84471875
transcript.pyannote[658].speaker SPEAKER_21
transcript.pyannote[658].start 5296.23284375
transcript.pyannote[658].end 5297.88659375
transcript.pyannote[659].speaker SPEAKER_21
transcript.pyannote[659].start 5297.97096875
transcript.pyannote[659].end 5305.71659375
transcript.pyannote[660].speaker SPEAKER_25
transcript.pyannote[660].start 5305.53096875
transcript.pyannote[660].end 5305.76721875
transcript.pyannote[661].speaker SPEAKER_21
transcript.pyannote[661].start 5305.76721875
transcript.pyannote[661].end 5322.08534375
transcript.pyannote[662].speaker SPEAKER_25
transcript.pyannote[662].start 5305.78409375
transcript.pyannote[662].end 5305.88534375
transcript.pyannote[663].speaker SPEAKER_21
transcript.pyannote[663].start 5322.45659375
transcript.pyannote[663].end 5324.63346875
transcript.pyannote[664].speaker SPEAKER_21
transcript.pyannote[664].start 5325.30846875
transcript.pyannote[664].end 5329.20659375
transcript.pyannote[665].speaker SPEAKER_18
transcript.pyannote[665].start 5329.20659375
transcript.pyannote[665].end 5329.34159375
transcript.pyannote[666].speaker SPEAKER_18
transcript.pyannote[666].start 5329.84784375
transcript.pyannote[666].end 5334.21846875
transcript.pyannote[667].speaker SPEAKER_18
transcript.pyannote[667].start 5334.40409375
transcript.pyannote[667].end 5340.31034375
transcript.pyannote[668].speaker SPEAKER_18
transcript.pyannote[668].start 5340.64784375
transcript.pyannote[668].end 5341.87971875
transcript.pyannote[669].speaker SPEAKER_18
transcript.pyannote[669].start 5342.28471875
transcript.pyannote[669].end 5346.25034375
transcript.pyannote[670].speaker SPEAKER_18
transcript.pyannote[670].start 5346.85784375
transcript.pyannote[670].end 5351.86971875
transcript.pyannote[671].speaker SPEAKER_18
transcript.pyannote[671].start 5352.22409375
transcript.pyannote[671].end 5356.98284375
transcript.pyannote[672].speaker SPEAKER_18
transcript.pyannote[672].start 5357.43846875
transcript.pyannote[672].end 5360.12159375
transcript.pyannote[673].speaker SPEAKER_18
transcript.pyannote[673].start 5360.42534375
transcript.pyannote[673].end 5361.31971875
transcript.pyannote[674].speaker SPEAKER_18
transcript.pyannote[674].start 5361.62346875
transcript.pyannote[674].end 5365.52159375
transcript.pyannote[675].speaker SPEAKER_21
transcript.pyannote[675].start 5365.62284375
transcript.pyannote[675].end 5374.17846875
transcript.pyannote[676].speaker SPEAKER_20
transcript.pyannote[676].start 5368.76159375
transcript.pyannote[676].end 5368.77846875
transcript.pyannote[677].speaker SPEAKER_18
transcript.pyannote[677].start 5368.77846875
transcript.pyannote[677].end 5369.13284375
transcript.pyannote[678].speaker SPEAKER_21
transcript.pyannote[678].start 5374.49909375
transcript.pyannote[678].end 5375.73096875
transcript.pyannote[679].speaker SPEAKER_21
transcript.pyannote[679].start 5377.03034375
transcript.pyannote[679].end 5379.61221875
transcript.pyannote[680].speaker SPEAKER_18
transcript.pyannote[680].start 5379.49409375
transcript.pyannote[680].end 5384.70846875
transcript.pyannote[681].speaker SPEAKER_18
transcript.pyannote[681].start 5385.28221875
transcript.pyannote[681].end 5394.88409375
transcript.pyannote[682].speaker SPEAKER_18
transcript.pyannote[682].start 5395.18784375
transcript.pyannote[682].end 5399.10284375
transcript.pyannote[683].speaker SPEAKER_18
transcript.pyannote[683].start 5399.54159375
transcript.pyannote[683].end 5424.39846875
transcript.pyannote[684].speaker SPEAKER_00
transcript.pyannote[684].start 5411.37096875
transcript.pyannote[684].end 5411.70846875
transcript.pyannote[685].speaker SPEAKER_21
transcript.pyannote[685].start 5424.39846875
transcript.pyannote[685].end 5455.90409375
transcript.pyannote[686].speaker SPEAKER_25
transcript.pyannote[686].start 5438.75909375
transcript.pyannote[686].end 5438.91096875
transcript.pyannote[687].speaker SPEAKER_25
transcript.pyannote[687].start 5440.69971875
transcript.pyannote[687].end 5441.79659375
transcript.pyannote[688].speaker SPEAKER_25
transcript.pyannote[688].start 5442.55596875
transcript.pyannote[688].end 5442.72471875
transcript.pyannote[689].speaker SPEAKER_25
transcript.pyannote[689].start 5442.74159375
transcript.pyannote[689].end 5442.77534375
transcript.pyannote[690].speaker SPEAKER_21
transcript.pyannote[690].start 5456.74784375
transcript.pyannote[690].end 5465.05034375
transcript.pyannote[691].speaker SPEAKER_21
transcript.pyannote[691].start 5465.32034375
transcript.pyannote[691].end 5467.02471875
transcript.pyannote[692].speaker SPEAKER_21
transcript.pyannote[692].start 5467.59846875
transcript.pyannote[692].end 5480.89596875
transcript.pyannote[693].speaker SPEAKER_21
transcript.pyannote[693].start 5481.38534375
transcript.pyannote[693].end 5483.27534375
transcript.pyannote[694].speaker SPEAKER_21
transcript.pyannote[694].start 5483.89971875
transcript.pyannote[694].end 5486.61659375
transcript.pyannote[695].speaker SPEAKER_18
transcript.pyannote[695].start 5486.85284375
transcript.pyannote[695].end 5492.18534375
transcript.pyannote[696].speaker SPEAKER_18
transcript.pyannote[696].start 5492.47221875
transcript.pyannote[696].end 5494.29471875
transcript.pyannote[697].speaker SPEAKER_18
transcript.pyannote[697].start 5494.54784375
transcript.pyannote[697].end 5504.23409375
transcript.pyannote[698].speaker SPEAKER_18
transcript.pyannote[698].start 5504.43659375
transcript.pyannote[698].end 5507.05221875
transcript.pyannote[699].speaker SPEAKER_21
transcript.pyannote[699].start 5507.05221875
transcript.pyannote[699].end 5512.68846875
transcript.pyannote[700].speaker SPEAKER_21
transcript.pyannote[700].start 5513.04284375
transcript.pyannote[700].end 5516.46846875
transcript.pyannote[701].speaker SPEAKER_21
transcript.pyannote[701].start 5517.00846875
transcript.pyannote[701].end 5517.86909375
transcript.pyannote[702].speaker SPEAKER_21
transcript.pyannote[702].start 5518.83096875
transcript.pyannote[702].end 5521.27784375
transcript.pyannote[703].speaker SPEAKER_18
transcript.pyannote[703].start 5520.29909375
transcript.pyannote[703].end 5520.58596875
transcript.pyannote[704].speaker SPEAKER_18
transcript.pyannote[704].start 5521.27784375
transcript.pyannote[704].end 5527.42034375
transcript.pyannote[705].speaker SPEAKER_18
transcript.pyannote[705].start 5527.74096875
transcript.pyannote[705].end 5529.66471875
transcript.pyannote[706].speaker SPEAKER_18
transcript.pyannote[706].start 5530.17096875
transcript.pyannote[706].end 5546.38784375
transcript.pyannote[707].speaker SPEAKER_21
transcript.pyannote[707].start 5546.74221875
transcript.pyannote[707].end 5557.32284375
transcript.pyannote[708].speaker SPEAKER_21
transcript.pyannote[708].start 5557.71096875
transcript.pyannote[708].end 5561.18721875
transcript.pyannote[709].speaker SPEAKER_18
transcript.pyannote[709].start 5562.04784375
transcript.pyannote[709].end 5563.97159375
transcript.pyannote[710].speaker SPEAKER_18
transcript.pyannote[710].start 5564.86596875
transcript.pyannote[710].end 5565.50721875
transcript.pyannote[711].speaker SPEAKER_18
transcript.pyannote[711].start 5565.99659375
transcript.pyannote[711].end 5567.00909375
transcript.pyannote[712].speaker SPEAKER_18
transcript.pyannote[712].start 5567.32971875
transcript.pyannote[712].end 5567.76846875
transcript.pyannote[713].speaker SPEAKER_18
transcript.pyannote[713].start 5568.13971875
transcript.pyannote[713].end 5568.81471875
transcript.pyannote[714].speaker SPEAKER_21
transcript.pyannote[714].start 5569.33784375
transcript.pyannote[714].end 5574.29909375
transcript.pyannote[715].speaker SPEAKER_18
transcript.pyannote[715].start 5574.29909375
transcript.pyannote[715].end 5574.36659375
transcript.pyannote[716].speaker SPEAKER_25
transcript.pyannote[716].start 5574.36659375
transcript.pyannote[716].end 5574.63659375
transcript.pyannote[717].speaker SPEAKER_21
transcript.pyannote[717].start 5575.63221875
transcript.pyannote[717].end 5594.02596875
transcript.pyannote[718].speaker SPEAKER_18
transcript.pyannote[718].start 5595.46034375
transcript.pyannote[718].end 5595.73034375
transcript.pyannote[719].speaker SPEAKER_18
transcript.pyannote[719].start 5596.50659375
transcript.pyannote[719].end 5604.10034375
transcript.pyannote[720].speaker SPEAKER_20
transcript.pyannote[720].start 5604.10034375
transcript.pyannote[720].end 5609.23034375
transcript.pyannote[721].speaker SPEAKER_18
transcript.pyannote[721].start 5605.38284375
transcript.pyannote[721].end 5606.24346875
transcript.pyannote[722].speaker SPEAKER_18
transcript.pyannote[722].start 5609.82096875
transcript.pyannote[722].end 5623.20284375
transcript.pyannote[723].speaker SPEAKER_25
transcript.pyannote[723].start 5614.09034375
transcript.pyannote[723].end 5614.29284375
transcript.pyannote[724].speaker SPEAKER_21
transcript.pyannote[724].start 5623.20284375
transcript.pyannote[724].end 5623.47284375
transcript.pyannote[725].speaker SPEAKER_18
transcript.pyannote[725].start 5623.47284375
transcript.pyannote[725].end 5623.84409375
transcript.pyannote[726].speaker SPEAKER_21
transcript.pyannote[726].start 5623.84409375
transcript.pyannote[726].end 5634.67784375
transcript.pyannote[727].speaker SPEAKER_18
transcript.pyannote[727].start 5630.69534375
transcript.pyannote[727].end 5631.11721875
transcript.pyannote[728].speaker SPEAKER_18
transcript.pyannote[728].start 5634.25596875
transcript.pyannote[728].end 5638.86284375
transcript.pyannote[729].speaker SPEAKER_21
transcript.pyannote[729].start 5634.82971875
transcript.pyannote[729].end 5635.67346875
transcript.pyannote[730].speaker SPEAKER_21
transcript.pyannote[730].start 5639.04846875
transcript.pyannote[730].end 5652.16034375
transcript.pyannote[731].speaker SPEAKER_21
transcript.pyannote[731].start 5652.26159375
transcript.pyannote[731].end 5658.48846875
transcript.pyannote[732].speaker SPEAKER_25
transcript.pyannote[732].start 5658.48846875
transcript.pyannote[732].end 5658.79221875
transcript.pyannote[733].speaker SPEAKER_21
transcript.pyannote[733].start 5658.53909375
transcript.pyannote[733].end 5658.58971875
transcript.pyannote[734].speaker SPEAKER_21
transcript.pyannote[734].start 5658.91034375
transcript.pyannote[734].end 5659.87221875
transcript.pyannote[735].speaker SPEAKER_18
transcript.pyannote[735].start 5659.87221875
transcript.pyannote[735].end 5660.09159375
transcript.pyannote[736].speaker SPEAKER_07
transcript.pyannote[736].start 5665.40721875
transcript.pyannote[736].end 5674.97534375
transcript.pyannote[737].speaker SPEAKER_07
transcript.pyannote[737].start 5684.89784375
transcript.pyannote[737].end 5686.18034375
transcript.pyannote[738].speaker SPEAKER_30
transcript.pyannote[738].start 5686.18034375
transcript.pyannote[738].end 5687.14221875
transcript.pyannote[739].speaker SPEAKER_30
transcript.pyannote[739].start 5688.54284375
transcript.pyannote[739].end 5689.03221875
transcript.pyannote[740].speaker SPEAKER_07
transcript.pyannote[740].start 5692.30596875
transcript.pyannote[740].end 5730.12284375
transcript.pyannote[741].speaker SPEAKER_07
transcript.pyannote[741].start 5730.30846875
transcript.pyannote[741].end 5734.29096875
transcript.pyannote[742].speaker SPEAKER_07
transcript.pyannote[742].start 5734.45971875
transcript.pyannote[742].end 5739.13409375
transcript.pyannote[743].speaker SPEAKER_07
transcript.pyannote[743].start 5739.45471875
transcript.pyannote[743].end 5744.85471875
transcript.pyannote[744].speaker SPEAKER_18
transcript.pyannote[744].start 5747.06534375
transcript.pyannote[744].end 5747.92596875
transcript.pyannote[745].speaker SPEAKER_07
transcript.pyannote[745].start 5748.33096875
transcript.pyannote[745].end 5777.52471875
transcript.pyannote[746].speaker SPEAKER_07
transcript.pyannote[746].start 5777.92971875
transcript.pyannote[746].end 5794.63596875
transcript.pyannote[747].speaker SPEAKER_18
transcript.pyannote[747].start 5794.63596875
transcript.pyannote[747].end 5797.96034375
transcript.pyannote[748].speaker SPEAKER_07
transcript.pyannote[748].start 5796.18846875
transcript.pyannote[748].end 5797.23471875
transcript.pyannote[749].speaker SPEAKER_07
transcript.pyannote[749].start 5797.84221875
transcript.pyannote[749].end 5810.58284375
transcript.pyannote[750].speaker SPEAKER_07
transcript.pyannote[750].start 5810.85284375
transcript.pyannote[750].end 5830.03971875
transcript.pyannote[751].speaker SPEAKER_07
transcript.pyannote[751].start 5830.46159375
transcript.pyannote[751].end 5835.79409375
transcript.pyannote[752].speaker SPEAKER_07
transcript.pyannote[752].start 5835.99659375
transcript.pyannote[752].end 5844.41721875
transcript.pyannote[753].speaker SPEAKER_07
transcript.pyannote[753].start 5844.94034375
transcript.pyannote[753].end 5848.39971875
transcript.pyannote[754].speaker SPEAKER_07
transcript.pyannote[754].start 5848.58534375
transcript.pyannote[754].end 5851.18409375
transcript.pyannote[755].speaker SPEAKER_07
transcript.pyannote[755].start 5851.75784375
transcript.pyannote[755].end 5855.03159375
transcript.pyannote[756].speaker SPEAKER_07
transcript.pyannote[756].start 5855.25096875
transcript.pyannote[756].end 5857.07346875
transcript.pyannote[757].speaker SPEAKER_18
transcript.pyannote[757].start 5857.07346875
transcript.pyannote[757].end 5857.20846875
transcript.pyannote[758].speaker SPEAKER_18
transcript.pyannote[758].start 5858.44034375
transcript.pyannote[758].end 5858.50784375
transcript.pyannote[759].speaker SPEAKER_18
transcript.pyannote[759].start 5858.84534375
transcript.pyannote[759].end 5866.03409375
transcript.pyannote[760].speaker SPEAKER_07
transcript.pyannote[760].start 5866.03409375
transcript.pyannote[760].end 5867.73846875
transcript.pyannote[761].speaker SPEAKER_07
transcript.pyannote[761].start 5868.04221875
transcript.pyannote[761].end 5868.49784375
transcript.pyannote[762].speaker SPEAKER_07
transcript.pyannote[762].start 5868.76784375
transcript.pyannote[762].end 5873.79659375
transcript.pyannote[763].speaker SPEAKER_07
transcript.pyannote[763].start 5874.62346875
transcript.pyannote[763].end 5879.12909375
transcript.pyannote[764].speaker SPEAKER_18
transcript.pyannote[764].start 5876.73284375
transcript.pyannote[764].end 5877.15471875
transcript.pyannote[765].speaker SPEAKER_18
transcript.pyannote[765].start 5877.69471875
transcript.pyannote[765].end 5877.74534375
transcript.pyannote[766].speaker SPEAKER_07
transcript.pyannote[766].start 5880.32721875
transcript.pyannote[766].end 5885.06909375
transcript.pyannote[767].speaker SPEAKER_04
transcript.pyannote[767].start 5885.06909375
transcript.pyannote[767].end 5885.10284375
transcript.pyannote[768].speaker SPEAKER_04
transcript.pyannote[768].start 5886.82409375
transcript.pyannote[768].end 5897.94471875
transcript.pyannote[769].speaker SPEAKER_04
transcript.pyannote[769].start 5898.19784375
transcript.pyannote[769].end 5903.51346875
transcript.pyannote[770].speaker SPEAKER_04
transcript.pyannote[770].start 5903.93534375
transcript.pyannote[770].end 5907.46221875
transcript.pyannote[771].speaker SPEAKER_07
transcript.pyannote[771].start 5907.46221875
transcript.pyannote[771].end 5955.82596875
transcript.pyannote[772].speaker SPEAKER_07
transcript.pyannote[772].start 5956.46721875
transcript.pyannote[772].end 5991.46596875
transcript.pyannote[773].speaker SPEAKER_04
transcript.pyannote[773].start 5991.46596875
transcript.pyannote[773].end 5994.62159375
transcript.pyannote[774].speaker SPEAKER_04
transcript.pyannote[774].start 5994.89159375
transcript.pyannote[774].end 6028.00034375
transcript.pyannote[775].speaker SPEAKER_07
transcript.pyannote[775].start 6003.53159375
transcript.pyannote[775].end 6006.02909375
transcript.pyannote[776].speaker SPEAKER_07
transcript.pyannote[776].start 6025.95846875
transcript.pyannote[776].end 6034.31159375
transcript.pyannote[777].speaker SPEAKER_04
transcript.pyannote[777].start 6030.39659375
transcript.pyannote[777].end 6031.30784375
transcript.pyannote[778].speaker SPEAKER_04
transcript.pyannote[778].start 6034.31159375
transcript.pyannote[778].end 6037.33221875
transcript.pyannote[779].speaker SPEAKER_07
transcript.pyannote[779].start 6036.26909375
transcript.pyannote[779].end 6037.61909375
transcript.pyannote[780].speaker SPEAKER_04
transcript.pyannote[780].start 6037.61909375
transcript.pyannote[780].end 6037.63596875
transcript.pyannote[781].speaker SPEAKER_07
transcript.pyannote[781].start 6037.63596875
transcript.pyannote[781].end 6037.72034375
transcript.pyannote[782].speaker SPEAKER_04
transcript.pyannote[782].start 6037.72034375
transcript.pyannote[782].end 6044.65596875
transcript.pyannote[783].speaker SPEAKER_07
transcript.pyannote[783].start 6042.61409375
transcript.pyannote[783].end 6067.08284375
transcript.pyannote[784].speaker SPEAKER_07
transcript.pyannote[784].start 6067.79159375
transcript.pyannote[784].end 6106.55346875
transcript.pyannote[785].speaker SPEAKER_07
transcript.pyannote[785].start 6106.92471875
transcript.pyannote[785].end 6109.28721875
transcript.pyannote[786].speaker SPEAKER_07
transcript.pyannote[786].start 6110.11409375
transcript.pyannote[786].end 6126.29721875
transcript.pyannote[787].speaker SPEAKER_07
transcript.pyannote[787].start 6126.61784375
transcript.pyannote[787].end 6128.86221875
transcript.pyannote[788].speaker SPEAKER_07
transcript.pyannote[788].start 6129.30096875
transcript.pyannote[788].end 6133.97534375
transcript.pyannote[789].speaker SPEAKER_18
transcript.pyannote[789].start 6129.53721875
transcript.pyannote[789].end 6129.63846875
transcript.pyannote[790].speaker SPEAKER_32
transcript.pyannote[790].start 6129.63846875
transcript.pyannote[790].end 6129.84096875
transcript.pyannote[791].speaker SPEAKER_18
transcript.pyannote[791].start 6129.84096875
transcript.pyannote[791].end 6129.90846875
transcript.pyannote[792].speaker SPEAKER_18
transcript.pyannote[792].start 6133.97534375
transcript.pyannote[792].end 6143.03721875
transcript.pyannote[793].speaker SPEAKER_07
transcript.pyannote[793].start 6143.03721875
transcript.pyannote[793].end 6166.52721875
transcript.pyannote[794].speaker SPEAKER_18
transcript.pyannote[794].start 6167.08409375
transcript.pyannote[794].end 6167.64096875
transcript.pyannote[795].speaker SPEAKER_07
transcript.pyannote[795].start 6167.64096875
transcript.pyannote[795].end 6167.65784375
transcript.pyannote[796].speaker SPEAKER_18
transcript.pyannote[796].start 6167.65784375
transcript.pyannote[796].end 6168.87284375
transcript.pyannote[797].speaker SPEAKER_07
transcript.pyannote[797].start 6167.72534375
transcript.pyannote[797].end 6200.44596875
transcript.pyannote[798].speaker SPEAKER_18
transcript.pyannote[798].start 6201.18846875
transcript.pyannote[798].end 6202.80846875
transcript.pyannote[799].speaker SPEAKER_07
transcript.pyannote[799].start 6201.62721875
transcript.pyannote[799].end 6203.21346875
transcript.pyannote[800].speaker SPEAKER_18
transcript.pyannote[800].start 6203.21346875
transcript.pyannote[800].end 6203.43284375
transcript.pyannote[801].speaker SPEAKER_07
transcript.pyannote[801].start 6203.43284375
transcript.pyannote[801].end 6214.58721875
transcript.pyannote[802].speaker SPEAKER_18
transcript.pyannote[802].start 6203.44971875
transcript.pyannote[802].end 6204.24284375
transcript.pyannote[803].speaker SPEAKER_07
transcript.pyannote[803].start 6214.90784375
transcript.pyannote[803].end 6219.70034375
transcript.pyannote[804].speaker SPEAKER_07
transcript.pyannote[804].start 6220.03784375
transcript.pyannote[804].end 6224.57721875
transcript.pyannote[805].speaker SPEAKER_07
transcript.pyannote[805].start 6225.10034375
transcript.pyannote[805].end 6240.00096875
transcript.pyannote[806].speaker SPEAKER_18
transcript.pyannote[806].start 6241.35096875
transcript.pyannote[806].end 6243.40971875
transcript.pyannote[807].speaker SPEAKER_18
transcript.pyannote[807].start 6243.49409375
transcript.pyannote[807].end 6245.87346875
transcript.pyannote[808].speaker SPEAKER_07
transcript.pyannote[808].start 6244.21971875
transcript.pyannote[808].end 6245.28284375
transcript.pyannote[809].speaker SPEAKER_07
transcript.pyannote[809].start 6245.72159375
transcript.pyannote[809].end 6259.08659375
transcript.pyannote[810].speaker SPEAKER_18
transcript.pyannote[810].start 6259.93034375
transcript.pyannote[810].end 6260.70659375
transcript.pyannote[811].speaker SPEAKER_07
transcript.pyannote[811].start 6260.57159375
transcript.pyannote[811].end 6274.15596875
transcript.pyannote[812].speaker SPEAKER_07
transcript.pyannote[812].start 6274.62846875
transcript.pyannote[812].end 6286.59284375
transcript.pyannote[813].speaker SPEAKER_37
transcript.pyannote[813].start 6285.66471875
transcript.pyannote[813].end 6286.23846875
transcript.pyannote[814].speaker SPEAKER_07
transcript.pyannote[814].start 6286.72784375
transcript.pyannote[814].end 6298.13534375
transcript.pyannote[815].speaker SPEAKER_07
transcript.pyannote[815].start 6298.27034375
transcript.pyannote[815].end 6304.02471875
transcript.pyannote[816].speaker SPEAKER_07
transcript.pyannote[816].start 6304.36221875
transcript.pyannote[816].end 6305.72909375
transcript.pyannote[817].speaker SPEAKER_07
transcript.pyannote[817].start 6306.26909375
transcript.pyannote[817].end 6306.43784375
transcript.pyannote[818].speaker SPEAKER_07
transcript.pyannote[818].start 6306.74159375
transcript.pyannote[818].end 6309.35721875
transcript.pyannote[819].speaker SPEAKER_07
transcript.pyannote[819].start 6309.82971875
transcript.pyannote[819].end 6310.25159375
transcript.pyannote[820].speaker SPEAKER_07
transcript.pyannote[820].start 6310.80846875
transcript.pyannote[820].end 6317.13659375
transcript.pyannote[821].speaker SPEAKER_07
transcript.pyannote[821].start 6317.38971875
transcript.pyannote[821].end 6328.74659375
transcript.pyannote[822].speaker SPEAKER_07
transcript.pyannote[822].start 6329.23596875
transcript.pyannote[822].end 6331.02471875
transcript.pyannote[823].speaker SPEAKER_25
transcript.pyannote[823].start 6331.12596875
transcript.pyannote[823].end 6332.52659375
transcript.pyannote[824].speaker SPEAKER_07
transcript.pyannote[824].start 6331.68284375
transcript.pyannote[824].end 6334.14659375
transcript.pyannote[825].speaker SPEAKER_07
transcript.pyannote[825].start 6334.36596875
transcript.pyannote[825].end 6345.43596875
transcript.pyannote[826].speaker SPEAKER_07
transcript.pyannote[826].start 6345.92534375
transcript.pyannote[826].end 6369.92159375
transcript.pyannote[827].speaker SPEAKER_25
transcript.pyannote[827].start 6356.30346875
transcript.pyannote[827].end 6357.63659375
transcript.pyannote[828].speaker SPEAKER_07
transcript.pyannote[828].start 6370.30971875
transcript.pyannote[828].end 6377.00909375
transcript.pyannote[829].speaker SPEAKER_18
transcript.pyannote[829].start 6377.00909375
transcript.pyannote[829].end 6377.68409375
transcript.pyannote[830].speaker SPEAKER_30
transcript.pyannote[830].start 6378.42659375
transcript.pyannote[830].end 6380.62034375
transcript.pyannote[831].speaker SPEAKER_09
transcript.pyannote[831].start 6387.31971875
transcript.pyannote[831].end 6388.83846875
transcript.pyannote[832].speaker SPEAKER_36
transcript.pyannote[832].start 6389.36159375
transcript.pyannote[832].end 6389.63159375
transcript.pyannote[833].speaker SPEAKER_36
transcript.pyannote[833].start 6389.76659375
transcript.pyannote[833].end 6389.80034375
transcript.pyannote[834].speaker SPEAKER_36
transcript.pyannote[834].start 6389.96909375
transcript.pyannote[834].end 6390.03659375
transcript.pyannote[835].speaker SPEAKER_07
transcript.pyannote[835].start 6394.17096875
transcript.pyannote[835].end 6397.36034375
transcript.pyannote[836].speaker SPEAKER_19
transcript.pyannote[836].start 6408.51471875
transcript.pyannote[836].end 6410.15159375
transcript.pyannote[837].speaker SPEAKER_07
transcript.pyannote[837].start 6411.07971875
transcript.pyannote[837].end 6411.87284375
transcript.pyannote[838].speaker SPEAKER_19
transcript.pyannote[838].start 6415.82159375
transcript.pyannote[838].end 6416.46284375
transcript.pyannote[839].speaker SPEAKER_19
transcript.pyannote[839].start 6417.61034375
transcript.pyannote[839].end 6443.71596875
transcript.pyannote[840].speaker SPEAKER_19
transcript.pyannote[840].start 6443.81721875
transcript.pyannote[840].end 6454.02659375
transcript.pyannote[841].speaker SPEAKER_19
transcript.pyannote[841].start 6454.39784375
transcript.pyannote[841].end 6459.52784375
transcript.pyannote[842].speaker SPEAKER_18
transcript.pyannote[842].start 6460.62471875
transcript.pyannote[842].end 6462.63284375
transcript.pyannote[843].speaker SPEAKER_19
transcript.pyannote[843].start 6462.70034375
transcript.pyannote[843].end 6468.55596875
transcript.pyannote[844].speaker SPEAKER_18
transcript.pyannote[844].start 6468.55596875
transcript.pyannote[844].end 6468.60659375
transcript.pyannote[845].speaker SPEAKER_25
transcript.pyannote[845].start 6468.60659375
transcript.pyannote[845].end 6469.28159375
transcript.pyannote[846].speaker SPEAKER_18
transcript.pyannote[846].start 6469.28159375
transcript.pyannote[846].end 6469.33221875
transcript.pyannote[847].speaker SPEAKER_31
transcript.pyannote[847].start 6470.09159375
transcript.pyannote[847].end 6484.33409375
transcript.pyannote[848].speaker SPEAKER_19
transcript.pyannote[848].start 6484.33409375
transcript.pyannote[848].end 6486.84846875
transcript.pyannote[849].speaker SPEAKER_19
transcript.pyannote[849].start 6487.25346875
transcript.pyannote[849].end 6489.86909375
transcript.pyannote[850].speaker SPEAKER_19
transcript.pyannote[850].start 6489.97034375
transcript.pyannote[850].end 6499.48784375
transcript.pyannote[851].speaker SPEAKER_19
transcript.pyannote[851].start 6499.58909375
transcript.pyannote[851].end 6551.76659375
transcript.pyannote[852].speaker SPEAKER_19
transcript.pyannote[852].start 6552.99846875
transcript.pyannote[852].end 6555.68159375
transcript.pyannote[853].speaker SPEAKER_19
transcript.pyannote[853].start 6556.27221875
transcript.pyannote[853].end 6556.79534375
transcript.pyannote[854].speaker SPEAKER_19
transcript.pyannote[854].start 6557.53784375
transcript.pyannote[854].end 6591.87846875
transcript.pyannote[855].speaker SPEAKER_18
transcript.pyannote[855].start 6594.32534375
transcript.pyannote[855].end 6594.79784375
transcript.pyannote[856].speaker SPEAKER_18
transcript.pyannote[856].start 6595.47284375
transcript.pyannote[856].end 6619.45221875
transcript.pyannote[857].speaker SPEAKER_19
transcript.pyannote[857].start 6608.95596875
transcript.pyannote[857].end 6609.39471875
transcript.pyannote[858].speaker SPEAKER_19
transcript.pyannote[858].start 6610.37346875
transcript.pyannote[858].end 6612.31409375
transcript.pyannote[859].speaker SPEAKER_18
transcript.pyannote[859].start 6619.67159375
transcript.pyannote[859].end 6623.33346875
transcript.pyannote[860].speaker SPEAKER_19
transcript.pyannote[860].start 6621.46034375
transcript.pyannote[860].end 6621.74721875
transcript.pyannote[861].speaker SPEAKER_19
transcript.pyannote[861].start 6623.33346875
transcript.pyannote[861].end 6659.02409375
transcript.pyannote[862].speaker SPEAKER_18
transcript.pyannote[862].start 6623.55284375
transcript.pyannote[862].end 6625.96596875
transcript.pyannote[863].speaker SPEAKER_34
transcript.pyannote[863].start 6655.29471875
transcript.pyannote[863].end 6655.51409375
transcript.pyannote[864].speaker SPEAKER_25
transcript.pyannote[864].start 6655.64909375
transcript.pyannote[864].end 6655.69971875
transcript.pyannote[865].speaker SPEAKER_09
transcript.pyannote[865].start 6655.69971875
transcript.pyannote[865].end 6656.91471875
transcript.pyannote[866].speaker SPEAKER_18
transcript.pyannote[866].start 6659.02409375
transcript.pyannote[866].end 6663.61409375
transcript.pyannote[867].speaker SPEAKER_18
transcript.pyannote[867].start 6663.69846875
transcript.pyannote[867].end 6663.71534375
transcript.pyannote[868].speaker SPEAKER_18
transcript.pyannote[868].start 6663.73221875
transcript.pyannote[868].end 6665.04846875
transcript.pyannote[869].speaker SPEAKER_18
transcript.pyannote[869].start 6665.40284375
transcript.pyannote[869].end 6675.32534375
transcript.pyannote[870].speaker SPEAKER_18
transcript.pyannote[870].start 6675.61221875
transcript.pyannote[870].end 6680.89409375
transcript.pyannote[871].speaker SPEAKER_19
transcript.pyannote[871].start 6677.97471875
transcript.pyannote[871].end 6724.11096875
transcript.pyannote[872].speaker SPEAKER_25
transcript.pyannote[872].start 6701.83596875
transcript.pyannote[872].end 6701.97096875
transcript.pyannote[873].speaker SPEAKER_00
transcript.pyannote[873].start 6701.97096875
transcript.pyannote[873].end 6702.54471875
transcript.pyannote[874].speaker SPEAKER_00
transcript.pyannote[874].start 6703.52346875
transcript.pyannote[874].end 6703.55721875
transcript.pyannote[875].speaker SPEAKER_18
transcript.pyannote[875].start 6703.55721875
transcript.pyannote[875].end 6705.48096875
transcript.pyannote[876].speaker SPEAKER_18
transcript.pyannote[876].start 6721.84971875
transcript.pyannote[876].end 6726.79409375
transcript.pyannote[877].speaker SPEAKER_18
transcript.pyannote[877].start 6727.26659375
transcript.pyannote[877].end 6732.02534375
transcript.pyannote[878].speaker SPEAKER_19
transcript.pyannote[878].start 6727.99221875
transcript.pyannote[878].end 6728.43096875
transcript.pyannote[879].speaker SPEAKER_19
transcript.pyannote[879].start 6730.13534375
transcript.pyannote[879].end 6771.27659375
transcript.pyannote[880].speaker SPEAKER_18
transcript.pyannote[880].start 6732.61596875
transcript.pyannote[880].end 6732.75096875
transcript.pyannote[881].speaker SPEAKER_18
transcript.pyannote[881].start 6732.81846875
transcript.pyannote[881].end 6733.00409375
transcript.pyannote[882].speaker SPEAKER_19
transcript.pyannote[882].start 6771.46221875
transcript.pyannote[882].end 6783.67971875
transcript.pyannote[883].speaker SPEAKER_18
transcript.pyannote[883].start 6783.67971875
transcript.pyannote[883].end 6792.97784375
transcript.pyannote[884].speaker SPEAKER_19
transcript.pyannote[884].start 6792.99471875
transcript.pyannote[884].end 6803.81159375
transcript.pyannote[885].speaker SPEAKER_19
transcript.pyannote[885].start 6804.13221875
transcript.pyannote[885].end 6806.32596875
transcript.pyannote[886].speaker SPEAKER_19
transcript.pyannote[886].start 6806.46096875
transcript.pyannote[886].end 6823.30221875
transcript.pyannote[887].speaker SPEAKER_18
transcript.pyannote[887].start 6821.73284375
transcript.pyannote[887].end 6822.49221875
transcript.pyannote[888].speaker SPEAKER_18
transcript.pyannote[888].start 6823.30221875
transcript.pyannote[888].end 6824.93909375
transcript.pyannote[889].speaker SPEAKER_18
transcript.pyannote[889].start 6825.20909375
transcript.pyannote[889].end 6826.03596875
transcript.pyannote[890].speaker SPEAKER_18
transcript.pyannote[890].start 6826.45784375
transcript.pyannote[890].end 6831.21659375
transcript.pyannote[891].speaker SPEAKER_19
transcript.pyannote[891].start 6829.81596875
transcript.pyannote[891].end 6831.08159375
transcript.pyannote[892].speaker SPEAKER_18
transcript.pyannote[892].start 6831.25034375
transcript.pyannote[892].end 6831.63846875
transcript.pyannote[893].speaker SPEAKER_18
transcript.pyannote[893].start 6832.70159375
transcript.pyannote[893].end 6833.68034375
transcript.pyannote[894].speaker SPEAKER_19
transcript.pyannote[894].start 6832.75221875
transcript.pyannote[894].end 6840.07596875
transcript.pyannote[895].speaker SPEAKER_25
transcript.pyannote[895].start 6833.68034375
transcript.pyannote[895].end 6833.69721875
transcript.pyannote[896].speaker SPEAKER_25
transcript.pyannote[896].start 6840.34596875
transcript.pyannote[896].end 6840.48096875
transcript.pyannote[897].speaker SPEAKER_25
transcript.pyannote[897].start 6840.83534375
transcript.pyannote[897].end 6841.18971875
transcript.pyannote[898].speaker SPEAKER_19
transcript.pyannote[898].start 6841.35846875
transcript.pyannote[898].end 6851.04471875
transcript.pyannote[899].speaker SPEAKER_25
transcript.pyannote[899].start 6851.16284375
transcript.pyannote[899].end 6851.93909375
transcript.pyannote[900].speaker SPEAKER_19
transcript.pyannote[900].start 6851.82096875
transcript.pyannote[900].end 6852.63096875
transcript.pyannote[901].speaker SPEAKER_19
transcript.pyannote[901].start 6852.96846875
transcript.pyannote[901].end 6853.55909375
transcript.pyannote[902].speaker SPEAKER_19
transcript.pyannote[902].start 6854.20034375
transcript.pyannote[902].end 6861.06846875
transcript.pyannote[903].speaker SPEAKER_19
transcript.pyannote[903].start 6861.43971875
transcript.pyannote[903].end 6897.90659375
transcript.pyannote[904].speaker SPEAKER_18
transcript.pyannote[904].start 6898.15971875
transcript.pyannote[904].end 6910.84971875
transcript.pyannote[905].speaker SPEAKER_18
transcript.pyannote[905].start 6911.79471875
transcript.pyannote[905].end 6921.88596875
transcript.pyannote[906].speaker SPEAKER_19
transcript.pyannote[906].start 6922.29096875
transcript.pyannote[906].end 6925.75034375
transcript.pyannote[907].speaker SPEAKER_18
transcript.pyannote[907].start 6925.75034375
transcript.pyannote[907].end 6925.78409375
transcript.pyannote[908].speaker SPEAKER_03
transcript.pyannote[908].start 6925.78409375
transcript.pyannote[908].end 6926.61096875
transcript.pyannote[909].speaker SPEAKER_19
transcript.pyannote[909].start 6926.61096875
transcript.pyannote[909].end 6937.64721875
transcript.pyannote[910].speaker SPEAKER_18
transcript.pyannote[910].start 6931.50471875
transcript.pyannote[910].end 6931.53846875
transcript.pyannote[911].speaker SPEAKER_03
transcript.pyannote[911].start 6931.53846875
transcript.pyannote[911].end 6932.02784375
transcript.pyannote[912].speaker SPEAKER_18
transcript.pyannote[912].start 6932.02784375
transcript.pyannote[912].end 6932.28096875
transcript.pyannote[913].speaker SPEAKER_03
transcript.pyannote[913].start 6932.28096875
transcript.pyannote[913].end 6932.31471875
transcript.pyannote[914].speaker SPEAKER_18
transcript.pyannote[914].start 6934.06971875
transcript.pyannote[914].end 6939.31784375
transcript.pyannote[915].speaker SPEAKER_18
transcript.pyannote[915].start 6939.55409375
transcript.pyannote[915].end 6944.36346875
transcript.pyannote[916].speaker SPEAKER_18
transcript.pyannote[916].start 6944.61659375
transcript.pyannote[916].end 6950.21909375
transcript.pyannote[917].speaker SPEAKER_19
transcript.pyannote[917].start 6946.45596875
transcript.pyannote[917].end 6946.81034375
transcript.pyannote[918].speaker SPEAKER_19
transcript.pyannote[918].start 6950.21909375
transcript.pyannote[918].end 6958.31909375
transcript.pyannote[919].speaker SPEAKER_18
transcript.pyannote[919].start 6950.26971875
transcript.pyannote[919].end 6950.37096875
transcript.pyannote[920].speaker SPEAKER_18
transcript.pyannote[920].start 6957.64409375
transcript.pyannote[920].end 6960.15846875
transcript.pyannote[921].speaker SPEAKER_19
transcript.pyannote[921].start 6959.21346875
transcript.pyannote[921].end 6965.98034375
transcript.pyannote[922].speaker SPEAKER_18
transcript.pyannote[922].start 6964.54596875
transcript.pyannote[922].end 6969.54096875
transcript.pyannote[923].speaker SPEAKER_19
transcript.pyannote[923].start 6967.61721875
transcript.pyannote[923].end 6991.56284375
transcript.pyannote[924].speaker SPEAKER_18
transcript.pyannote[924].start 6971.70096875
transcript.pyannote[924].end 6971.98784375
transcript.pyannote[925].speaker SPEAKER_18
transcript.pyannote[925].start 6973.00034375
transcript.pyannote[925].end 6975.58221875
transcript.pyannote[926].speaker SPEAKER_05
transcript.pyannote[926].start 6975.58221875
transcript.pyannote[926].end 6977.03346875
transcript.pyannote[927].speaker SPEAKER_05
transcript.pyannote[927].start 6979.64909375
transcript.pyannote[927].end 6981.65721875
transcript.pyannote[928].speaker SPEAKER_18
transcript.pyannote[928].start 6990.92159375
transcript.pyannote[928].end 6995.17409375
transcript.pyannote[929].speaker SPEAKER_19
transcript.pyannote[929].start 6995.19096875
transcript.pyannote[929].end 6999.39284375
transcript.pyannote[930].speaker SPEAKER_18
transcript.pyannote[930].start 6999.40971875
transcript.pyannote[930].end 7000.03409375
transcript.pyannote[931].speaker SPEAKER_07
transcript.pyannote[931].start 7000.03409375
transcript.pyannote[931].end 7000.20284375
transcript.pyannote[932].speaker SPEAKER_18
transcript.pyannote[932].start 7000.20284375
transcript.pyannote[932].end 7000.32096875
transcript.pyannote[933].speaker SPEAKER_19
transcript.pyannote[933].start 7000.32096875
transcript.pyannote[933].end 7001.13096875
transcript.pyannote[934].speaker SPEAKER_07
transcript.pyannote[934].start 7000.82721875
transcript.pyannote[934].end 7000.94534375
transcript.pyannote[935].speaker SPEAKER_18
transcript.pyannote[935].start 7000.94534375
transcript.pyannote[935].end 7001.02971875
transcript.pyannote[936].speaker SPEAKER_07
transcript.pyannote[936].start 7001.02971875
transcript.pyannote[936].end 7001.04659375
transcript.pyannote[937].speaker SPEAKER_18
transcript.pyannote[937].start 7001.04659375
transcript.pyannote[937].end 7001.75534375
transcript.pyannote[938].speaker SPEAKER_07
transcript.pyannote[938].start 7002.49784375
transcript.pyannote[938].end 7003.42596875
transcript.pyannote[939].speaker SPEAKER_07
transcript.pyannote[939].start 7004.53971875
transcript.pyannote[939].end 7007.93159375
transcript.pyannote[940].speaker SPEAKER_30
transcript.pyannote[940].start 7012.50471875
transcript.pyannote[940].end 7013.87159375
transcript.pyannote[941].speaker SPEAKER_30
transcript.pyannote[941].start 7014.42846875
transcript.pyannote[941].end 7016.33534375
transcript.pyannote[942].speaker SPEAKER_30
transcript.pyannote[942].start 7016.85846875
transcript.pyannote[942].end 7018.59659375
transcript.pyannote[943].speaker SPEAKER_30
transcript.pyannote[943].start 7019.00159375
transcript.pyannote[943].end 7019.60909375
transcript.pyannote[944].speaker SPEAKER_07
transcript.pyannote[944].start 7020.26721875
transcript.pyannote[944].end 7021.76909375
transcript.pyannote[945].speaker SPEAKER_30
transcript.pyannote[945].start 7024.73909375
transcript.pyannote[945].end 7025.39721875
transcript.pyannote[946].speaker SPEAKER_25
transcript.pyannote[946].start 7026.15659375
transcript.pyannote[946].end 7026.56159375
transcript.pyannote[947].speaker SPEAKER_30
transcript.pyannote[947].start 7027.16909375
transcript.pyannote[947].end 7027.52346875
transcript.pyannote[948].speaker SPEAKER_30
transcript.pyannote[948].start 7028.09721875
transcript.pyannote[948].end 7028.75534375
transcript.pyannote[949].speaker SPEAKER_30
transcript.pyannote[949].start 7028.97471875
transcript.pyannote[949].end 7033.22721875
transcript.pyannote[950].speaker SPEAKER_30
transcript.pyannote[950].start 7033.42971875
transcript.pyannote[950].end 7038.22221875
transcript.pyannote[951].speaker SPEAKER_30
transcript.pyannote[951].start 7039.26846875
transcript.pyannote[951].end 7042.06971875
transcript.pyannote[952].speaker SPEAKER_30
transcript.pyannote[952].start 7042.45784375
transcript.pyannote[952].end 7045.66409375
transcript.pyannote[953].speaker SPEAKER_30
transcript.pyannote[953].start 7046.33909375
transcript.pyannote[953].end 7048.33034375
transcript.pyannote[954].speaker SPEAKER_30
transcript.pyannote[954].start 7049.47784375
transcript.pyannote[954].end 7052.61659375
transcript.pyannote[955].speaker SPEAKER_30
transcript.pyannote[955].start 7053.19034375
transcript.pyannote[955].end 7054.96221875
transcript.pyannote[956].speaker SPEAKER_30
transcript.pyannote[956].start 7055.73846875
transcript.pyannote[956].end 7061.17221875
transcript.pyannote[957].speaker SPEAKER_30
transcript.pyannote[957].start 7061.52659375
transcript.pyannote[957].end 7066.25159375
transcript.pyannote[958].speaker SPEAKER_30
transcript.pyannote[958].start 7066.58909375
transcript.pyannote[958].end 7067.55096875
transcript.pyannote[959].speaker SPEAKER_30
transcript.pyannote[959].start 7068.17534375
transcript.pyannote[959].end 7069.03596875
transcript.pyannote[960].speaker SPEAKER_30
transcript.pyannote[960].start 7069.60971875
transcript.pyannote[960].end 7070.06534375
transcript.pyannote[961].speaker SPEAKER_30
transcript.pyannote[961].start 7071.38159375
transcript.pyannote[961].end 7072.30971875
transcript.pyannote[962].speaker SPEAKER_04
transcript.pyannote[962].start 7074.55409375
transcript.pyannote[962].end 7076.73096875
transcript.pyannote[963].speaker SPEAKER_04
transcript.pyannote[963].start 7077.06846875
transcript.pyannote[963].end 7082.87346875
transcript.pyannote[964].speaker SPEAKER_04
transcript.pyannote[964].start 7083.12659375
transcript.pyannote[964].end 7084.57784375
transcript.pyannote[965].speaker SPEAKER_04
transcript.pyannote[965].start 7084.78034375
transcript.pyannote[965].end 7086.43409375
transcript.pyannote[966].speaker SPEAKER_04
transcript.pyannote[966].start 7086.87284375
transcript.pyannote[966].end 7089.37034375
transcript.pyannote[967].speaker SPEAKER_04
transcript.pyannote[967].start 7089.64034375
transcript.pyannote[967].end 7096.39034375
transcript.pyannote[968].speaker SPEAKER_04
transcript.pyannote[968].start 7096.57596875
transcript.pyannote[968].end 7096.62659375
transcript.pyannote[969].speaker SPEAKER_30
transcript.pyannote[969].start 7096.62659375
transcript.pyannote[969].end 7103.56221875
transcript.pyannote[970].speaker SPEAKER_30
transcript.pyannote[970].start 7103.96721875
transcript.pyannote[970].end 7105.30034375
transcript.pyannote[971].speaker SPEAKER_30
transcript.pyannote[971].start 7106.02596875
transcript.pyannote[971].end 7107.49409375
transcript.pyannote[972].speaker SPEAKER_30
transcript.pyannote[972].start 7108.13534375
transcript.pyannote[972].end 7109.45159375
transcript.pyannote[973].speaker SPEAKER_30
transcript.pyannote[973].start 7110.32909375
transcript.pyannote[973].end 7117.26471875
transcript.pyannote[974].speaker SPEAKER_30
transcript.pyannote[974].start 7117.82159375
transcript.pyannote[974].end 7118.09159375
transcript.pyannote[975].speaker SPEAKER_30
transcript.pyannote[975].start 7119.40784375
transcript.pyannote[975].end 7120.55534375
transcript.pyannote[976].speaker SPEAKER_30
transcript.pyannote[976].start 7120.89284375
transcript.pyannote[976].end 7129.54971875
transcript.pyannote[977].speaker SPEAKER_30
transcript.pyannote[977].start 7129.58346875
transcript.pyannote[977].end 7132.72221875
transcript.pyannote[978].speaker SPEAKER_25
transcript.pyannote[978].start 7132.72221875
transcript.pyannote[978].end 7132.73909375
transcript.pyannote[979].speaker SPEAKER_25
transcript.pyannote[979].start 7132.97534375
transcript.pyannote[979].end 7133.02596875
transcript.pyannote[980].speaker SPEAKER_25
transcript.pyannote[980].start 7133.04284375
transcript.pyannote[980].end 7133.53221875
transcript.pyannote[981].speaker SPEAKER_25
transcript.pyannote[981].start 7133.97096875
transcript.pyannote[981].end 7134.03846875
transcript.pyannote[982].speaker SPEAKER_25
transcript.pyannote[982].start 7134.25784375
transcript.pyannote[982].end 7134.51096875
transcript.pyannote[983].speaker SPEAKER_30
transcript.pyannote[983].start 7134.51096875
transcript.pyannote[983].end 7138.96596875
transcript.pyannote[984].speaker SPEAKER_30
transcript.pyannote[984].start 7140.26534375
transcript.pyannote[984].end 7141.63221875
transcript.pyannote[985].speaker SPEAKER_30
transcript.pyannote[985].start 7142.50971875
transcript.pyannote[985].end 7143.37034375
transcript.pyannote[986].speaker SPEAKER_30
transcript.pyannote[986].start 7143.52221875
transcript.pyannote[986].end 7147.69034375
transcript.pyannote[987].speaker SPEAKER_30
transcript.pyannote[987].start 7148.85471875
transcript.pyannote[987].end 7150.37346875
transcript.pyannote[988].speaker SPEAKER_30
transcript.pyannote[988].start 7150.64346875
transcript.pyannote[988].end 7152.14534375
transcript.pyannote[989].speaker SPEAKER_30
transcript.pyannote[989].start 7152.58409375
transcript.pyannote[989].end 7156.22909375
transcript.pyannote[990].speaker SPEAKER_30
transcript.pyannote[990].start 7156.97159375
transcript.pyannote[990].end 7158.20346875
transcript.pyannote[991].speaker SPEAKER_30
transcript.pyannote[991].start 7158.62534375
transcript.pyannote[991].end 7159.28346875
transcript.pyannote[992].speaker SPEAKER_04
transcript.pyannote[992].start 7160.26221875
transcript.pyannote[992].end 7171.29846875
transcript.pyannote[993].speaker SPEAKER_30
transcript.pyannote[993].start 7160.90346875
transcript.pyannote[993].end 7161.93284375
transcript.pyannote[994].speaker SPEAKER_30
transcript.pyannote[994].start 7166.92784375
transcript.pyannote[994].end 7167.23159375
transcript.pyannote[995].speaker SPEAKER_30
transcript.pyannote[995].start 7169.99909375
transcript.pyannote[995].end 7170.47159375
transcript.pyannote[996].speaker SPEAKER_30
transcript.pyannote[996].start 7171.31534375
transcript.pyannote[996].end 7173.13784375
transcript.pyannote[997].speaker SPEAKER_30
transcript.pyannote[997].start 7173.54284375
transcript.pyannote[997].end 7174.77471875
transcript.pyannote[998].speaker SPEAKER_30
transcript.pyannote[998].start 7174.96034375
transcript.pyannote[998].end 7175.90534375
transcript.pyannote[999].speaker SPEAKER_30
transcript.pyannote[999].start 7176.20909375
transcript.pyannote[999].end 7176.59721875
transcript.pyannote[1000].speaker SPEAKER_30
transcript.pyannote[1000].start 7177.40721875
transcript.pyannote[1000].end 7180.37721875
transcript.pyannote[1001].speaker SPEAKER_30
transcript.pyannote[1001].start 7180.51221875
transcript.pyannote[1001].end 7185.50721875
transcript.pyannote[1002].speaker SPEAKER_30
transcript.pyannote[1002].start 7185.96284375
transcript.pyannote[1002].end 7186.77284375
transcript.pyannote[1003].speaker SPEAKER_30
transcript.pyannote[1003].start 7187.38034375
transcript.pyannote[1003].end 7190.19846875
transcript.pyannote[1004].speaker SPEAKER_30
transcript.pyannote[1004].start 7190.58659375
transcript.pyannote[1004].end 7191.17721875
transcript.pyannote[1005].speaker SPEAKER_30
transcript.pyannote[1005].start 7192.00409375
transcript.pyannote[1005].end 7193.59034375
transcript.pyannote[1006].speaker SPEAKER_30
transcript.pyannote[1006].start 7194.14721875
transcript.pyannote[1006].end 7195.85159375
transcript.pyannote[1007].speaker SPEAKER_30
transcript.pyannote[1007].start 7196.59409375
transcript.pyannote[1007].end 7198.92284375
transcript.pyannote[1008].speaker SPEAKER_30
transcript.pyannote[1008].start 7199.47971875
transcript.pyannote[1008].end 7200.23909375
transcript.pyannote[1009].speaker SPEAKER_30
transcript.pyannote[1009].start 7202.12909375
transcript.pyannote[1009].end 7202.70284375
transcript.pyannote[1010].speaker SPEAKER_30
transcript.pyannote[1010].start 7203.14159375
transcript.pyannote[1010].end 7207.90034375
transcript.pyannote[1011].speaker SPEAKER_30
transcript.pyannote[1011].start 7208.22096875
transcript.pyannote[1011].end 7210.68471875
transcript.pyannote[1012].speaker SPEAKER_30
transcript.pyannote[1012].start 7211.00534375
transcript.pyannote[1012].end 7212.18659375
transcript.pyannote[1013].speaker SPEAKER_30
transcript.pyannote[1013].start 7213.14846875
transcript.pyannote[1013].end 7215.25784375
transcript.pyannote[1014].speaker SPEAKER_30
transcript.pyannote[1014].start 7215.79784375
transcript.pyannote[1014].end 7216.43909375
transcript.pyannote[1015].speaker SPEAKER_30
transcript.pyannote[1015].start 7217.06346875
transcript.pyannote[1015].end 7217.68784375
transcript.pyannote[1016].speaker SPEAKER_30
transcript.pyannote[1016].start 7218.56534375
transcript.pyannote[1016].end 7222.73346875
transcript.pyannote[1017].speaker SPEAKER_04
transcript.pyannote[1017].start 7225.41659375
transcript.pyannote[1017].end 7234.79909375
transcript.pyannote[1018].speaker SPEAKER_30
transcript.pyannote[1018].start 7225.85534375
transcript.pyannote[1018].end 7227.12096875
transcript.pyannote[1019].speaker SPEAKER_30
transcript.pyannote[1019].start 7234.00596875
transcript.pyannote[1019].end 7235.74409375
transcript.pyannote[1020].speaker SPEAKER_04
transcript.pyannote[1020].start 7235.87909375
transcript.pyannote[1020].end 7238.78159375
transcript.pyannote[1021].speaker SPEAKER_04
transcript.pyannote[1021].start 7238.86596875
transcript.pyannote[1021].end 7238.88284375
transcript.pyannote[1022].speaker SPEAKER_30
transcript.pyannote[1022].start 7238.88284375
transcript.pyannote[1022].end 7243.23659375
transcript.pyannote[1023].speaker SPEAKER_04
transcript.pyannote[1023].start 7242.78096875
transcript.pyannote[1023].end 7243.01721875
transcript.pyannote[1024].speaker SPEAKER_04
transcript.pyannote[1024].start 7243.23659375
transcript.pyannote[1024].end 7243.28721875
transcript.pyannote[1025].speaker SPEAKER_30
transcript.pyannote[1025].start 7243.64159375
transcript.pyannote[1025].end 7245.76784375
transcript.pyannote[1026].speaker SPEAKER_04
transcript.pyannote[1026].start 7245.76784375
transcript.pyannote[1026].end 7246.12221875
transcript.pyannote[1027].speaker SPEAKER_30
transcript.pyannote[1027].start 7246.08846875
transcript.pyannote[1027].end 7248.95721875
transcript.pyannote[1028].speaker SPEAKER_04
transcript.pyannote[1028].start 7250.49284375
transcript.pyannote[1028].end 7252.02846875
transcript.pyannote[1029].speaker SPEAKER_30
transcript.pyannote[1029].start 7252.55159375
transcript.pyannote[1029].end 7255.57221875
transcript.pyannote[1030].speaker SPEAKER_04
transcript.pyannote[1030].start 7256.19659375
transcript.pyannote[1030].end 7260.14534375
transcript.pyannote[1031].speaker SPEAKER_30
transcript.pyannote[1031].start 7257.37784375
transcript.pyannote[1031].end 7258.99784375
transcript.pyannote[1032].speaker SPEAKER_30
transcript.pyannote[1032].start 7259.92596875
transcript.pyannote[1032].end 7261.71471875
transcript.pyannote[1033].speaker SPEAKER_30
transcript.pyannote[1033].start 7263.85784375
transcript.pyannote[1033].end 7266.03471875
transcript.pyannote[1034].speaker SPEAKER_30
transcript.pyannote[1034].start 7266.30471875
transcript.pyannote[1034].end 7268.41409375
transcript.pyannote[1035].speaker SPEAKER_30
transcript.pyannote[1035].start 7269.57846875
transcript.pyannote[1035].end 7270.89471875
transcript.pyannote[1036].speaker SPEAKER_30
transcript.pyannote[1036].start 7271.38409375
transcript.pyannote[1036].end 7279.56846875
transcript.pyannote[1037].speaker SPEAKER_30
transcript.pyannote[1037].start 7280.73284375
transcript.pyannote[1037].end 7282.18409375
transcript.pyannote[1038].speaker SPEAKER_30
transcript.pyannote[1038].start 7283.01096875
transcript.pyannote[1038].end 7283.63534375
transcript.pyannote[1039].speaker SPEAKER_30
transcript.pyannote[1039].start 7284.31034375
transcript.pyannote[1039].end 7284.88409375
transcript.pyannote[1040].speaker SPEAKER_04
transcript.pyannote[1040].start 7285.39034375
transcript.pyannote[1040].end 7288.00596875
transcript.pyannote[1041].speaker SPEAKER_04
transcript.pyannote[1041].start 7288.57971875
transcript.pyannote[1041].end 7292.37659375
transcript.pyannote[1042].speaker SPEAKER_04
transcript.pyannote[1042].start 7292.71409375
transcript.pyannote[1042].end 7293.25409375
transcript.pyannote[1043].speaker SPEAKER_04
transcript.pyannote[1043].start 7293.54096875
transcript.pyannote[1043].end 7330.14284375
transcript.pyannote[1044].speaker SPEAKER_30
transcript.pyannote[1044].start 7327.27409375
transcript.pyannote[1044].end 7334.63159375
transcript.pyannote[1045].speaker SPEAKER_04
transcript.pyannote[1045].start 7334.63159375
transcript.pyannote[1045].end 7335.07034375
transcript.pyannote[1046].speaker SPEAKER_30
transcript.pyannote[1046].start 7335.55971875
transcript.pyannote[1046].end 7341.04409375
transcript.pyannote[1047].speaker SPEAKER_30
transcript.pyannote[1047].start 7341.44909375
transcript.pyannote[1047].end 7350.17346875
transcript.pyannote[1048].speaker SPEAKER_30
transcript.pyannote[1048].start 7351.81034375
transcript.pyannote[1048].end 7352.53596875
transcript.pyannote[1049].speaker SPEAKER_30
transcript.pyannote[1049].start 7352.56971875
transcript.pyannote[1049].end 7357.81784375
transcript.pyannote[1050].speaker SPEAKER_30
transcript.pyannote[1050].start 7358.64471875
transcript.pyannote[1050].end 7363.90971875
transcript.pyannote[1051].speaker SPEAKER_30
transcript.pyannote[1051].start 7364.56784375
transcript.pyannote[1051].end 7366.98096875
transcript.pyannote[1052].speaker SPEAKER_30
transcript.pyannote[1052].start 7367.48721875
transcript.pyannote[1052].end 7373.07284375
transcript.pyannote[1053].speaker SPEAKER_30
transcript.pyannote[1053].start 7374.25409375
transcript.pyannote[1053].end 7379.31659375
transcript.pyannote[1054].speaker SPEAKER_30
transcript.pyannote[1054].start 7379.80596875
transcript.pyannote[1054].end 7380.22784375
transcript.pyannote[1055].speaker SPEAKER_04
transcript.pyannote[1055].start 7381.29096875
transcript.pyannote[1055].end 7385.13846875
transcript.pyannote[1056].speaker SPEAKER_04
transcript.pyannote[1056].start 7385.77971875
transcript.pyannote[1056].end 7405.35471875
transcript.pyannote[1057].speaker SPEAKER_30
transcript.pyannote[1057].start 7404.84846875
transcript.pyannote[1057].end 7407.04221875
transcript.pyannote[1058].speaker SPEAKER_04
transcript.pyannote[1058].start 7407.24471875
transcript.pyannote[1058].end 7407.49784375
transcript.pyannote[1059].speaker SPEAKER_30
transcript.pyannote[1059].start 7407.71721875
transcript.pyannote[1059].end 7413.42096875
transcript.pyannote[1060].speaker SPEAKER_30
transcript.pyannote[1060].start 7413.62346875
transcript.pyannote[1060].end 7417.67346875
transcript.pyannote[1061].speaker SPEAKER_30
transcript.pyannote[1061].start 7418.28096875
transcript.pyannote[1061].end 7422.24659375
transcript.pyannote[1062].speaker SPEAKER_04
transcript.pyannote[1062].start 7422.44909375
transcript.pyannote[1062].end 7425.30096875
transcript.pyannote[1063].speaker SPEAKER_30
transcript.pyannote[1063].start 7422.63471875
transcript.pyannote[1063].end 7423.95096875
transcript.pyannote[1064].speaker SPEAKER_04
transcript.pyannote[1064].start 7425.57096875
transcript.pyannote[1064].end 7432.43909375
transcript.pyannote[1065].speaker SPEAKER_30
transcript.pyannote[1065].start 7433.29971875
transcript.pyannote[1065].end 7435.18971875
transcript.pyannote[1066].speaker SPEAKER_30
transcript.pyannote[1066].start 7435.30784375
transcript.pyannote[1066].end 7438.56471875
transcript.pyannote[1067].speaker SPEAKER_30
transcript.pyannote[1067].start 7439.25659375
transcript.pyannote[1067].end 7443.93096875
transcript.pyannote[1068].speaker SPEAKER_25
transcript.pyannote[1068].start 7443.96471875
transcript.pyannote[1068].end 7444.45409375
transcript.pyannote[1069].speaker SPEAKER_30
transcript.pyannote[1069].start 7444.45409375
transcript.pyannote[1069].end 7451.50784375
transcript.pyannote[1070].speaker SPEAKER_25
transcript.pyannote[1070].start 7451.84534375
transcript.pyannote[1070].end 7452.21659375
transcript.pyannote[1071].speaker SPEAKER_30
transcript.pyannote[1071].start 7452.26721875
transcript.pyannote[1071].end 7454.41034375
transcript.pyannote[1072].speaker SPEAKER_30
transcript.pyannote[1072].start 7455.10221875
transcript.pyannote[1072].end 7457.51534375
transcript.pyannote[1073].speaker SPEAKER_30
transcript.pyannote[1073].start 7458.07221875
transcript.pyannote[1073].end 7460.48534375
transcript.pyannote[1074].speaker SPEAKER_30
transcript.pyannote[1074].start 7461.00846875
transcript.pyannote[1074].end 7462.52721875
transcript.pyannote[1075].speaker SPEAKER_30
transcript.pyannote[1075].start 7463.15159375
transcript.pyannote[1075].end 7464.80534375
transcript.pyannote[1076].speaker SPEAKER_30
transcript.pyannote[1076].start 7465.29471875
transcript.pyannote[1076].end 7466.72909375
transcript.pyannote[1077].speaker SPEAKER_30
transcript.pyannote[1077].start 7466.91471875
transcript.pyannote[1077].end 7467.72471875
transcript.pyannote[1078].speaker SPEAKER_30
transcript.pyannote[1078].start 7468.31534375
transcript.pyannote[1078].end 7469.86784375
transcript.pyannote[1079].speaker SPEAKER_30
transcript.pyannote[1079].start 7470.49221875
transcript.pyannote[1079].end 7471.67346875
transcript.pyannote[1080].speaker SPEAKER_30
transcript.pyannote[1080].start 7473.20909375
transcript.pyannote[1080].end 7475.40284375
transcript.pyannote[1081].speaker SPEAKER_30
transcript.pyannote[1081].start 7476.14534375
transcript.pyannote[1081].end 7478.98034375
transcript.pyannote[1082].speaker SPEAKER_30
transcript.pyannote[1082].start 7479.25034375
transcript.pyannote[1082].end 7481.96721875
transcript.pyannote[1083].speaker SPEAKER_30
transcript.pyannote[1083].start 7482.47346875
transcript.pyannote[1083].end 7482.84471875
transcript.pyannote[1084].speaker SPEAKER_30
transcript.pyannote[1084].start 7484.09346875
transcript.pyannote[1084].end 7485.54471875
transcript.pyannote[1085].speaker SPEAKER_30
transcript.pyannote[1085].start 7485.69659375
transcript.pyannote[1085].end 7487.38409375
transcript.pyannote[1086].speaker SPEAKER_30
transcript.pyannote[1086].start 7487.72159375
transcript.pyannote[1086].end 7488.63284375
transcript.pyannote[1087].speaker SPEAKER_30
transcript.pyannote[1087].start 7488.73409375
transcript.pyannote[1087].end 7489.96596875
transcript.pyannote[1088].speaker SPEAKER_30
transcript.pyannote[1088].start 7490.53971875
transcript.pyannote[1088].end 7492.07534375
transcript.pyannote[1089].speaker SPEAKER_30
transcript.pyannote[1089].start 7492.69971875
transcript.pyannote[1089].end 7493.64471875
transcript.pyannote[1090].speaker SPEAKER_30
transcript.pyannote[1090].start 7493.99909375
transcript.pyannote[1090].end 7496.15909375
transcript.pyannote[1091].speaker SPEAKER_30
transcript.pyannote[1091].start 7496.36159375
transcript.pyannote[1091].end 7499.14596875
transcript.pyannote[1092].speaker SPEAKER_30
transcript.pyannote[1092].start 7499.51721875
transcript.pyannote[1092].end 7501.35659375
transcript.pyannote[1093].speaker SPEAKER_30
transcript.pyannote[1093].start 7502.30159375
transcript.pyannote[1093].end 7503.70221875
transcript.pyannote[1094].speaker SPEAKER_30
transcript.pyannote[1094].start 7504.51221875
transcript.pyannote[1094].end 7505.42346875
transcript.pyannote[1095].speaker SPEAKER_30
transcript.pyannote[1095].start 7506.13221875
transcript.pyannote[1095].end 7509.43971875
transcript.pyannote[1096].speaker SPEAKER_30
transcript.pyannote[1096].start 7510.24971875
transcript.pyannote[1096].end 7520.88096875
transcript.pyannote[1097].speaker SPEAKER_30
transcript.pyannote[1097].start 7521.26909375
transcript.pyannote[1097].end 7523.19284375
transcript.pyannote[1098].speaker SPEAKER_30
transcript.pyannote[1098].start 7523.61471875
transcript.pyannote[1098].end 7530.44909375
transcript.pyannote[1099].speaker SPEAKER_30
transcript.pyannote[1099].start 7531.00596875
transcript.pyannote[1099].end 7532.57534375
transcript.pyannote[1100].speaker SPEAKER_30
transcript.pyannote[1100].start 7533.16596875
transcript.pyannote[1100].end 7537.40159375
transcript.pyannote[1101].speaker SPEAKER_04
transcript.pyannote[1101].start 7537.85721875
transcript.pyannote[1101].end 7558.84971875
transcript.pyannote[1102].speaker SPEAKER_04
transcript.pyannote[1102].start 7559.03534375
transcript.pyannote[1102].end 7564.63784375
transcript.pyannote[1103].speaker SPEAKER_30
transcript.pyannote[1103].start 7563.74346875
transcript.pyannote[1103].end 7570.18971875
transcript.pyannote[1104].speaker SPEAKER_04
transcript.pyannote[1104].start 7570.13909375
transcript.pyannote[1104].end 7571.35409375
transcript.pyannote[1105].speaker SPEAKER_30
transcript.pyannote[1105].start 7571.33721875
transcript.pyannote[1105].end 7575.58971875
transcript.pyannote[1106].speaker SPEAKER_04
transcript.pyannote[1106].start 7571.38784375
transcript.pyannote[1106].end 7571.43846875
transcript.pyannote[1107].speaker SPEAKER_30
transcript.pyannote[1107].start 7576.45034375
transcript.pyannote[1107].end 7582.87971875
transcript.pyannote[1108].speaker SPEAKER_30
transcript.pyannote[1108].start 7583.31846875
transcript.pyannote[1108].end 7586.52471875
transcript.pyannote[1109].speaker SPEAKER_25
transcript.pyannote[1109].start 7586.52471875
transcript.pyannote[1109].end 7586.82846875
transcript.pyannote[1110].speaker SPEAKER_30
transcript.pyannote[1110].start 7586.71034375
transcript.pyannote[1110].end 7588.51596875
transcript.pyannote[1111].speaker SPEAKER_30
transcript.pyannote[1111].start 7588.73534375
transcript.pyannote[1111].end 7591.65471875
transcript.pyannote[1112].speaker SPEAKER_30
transcript.pyannote[1112].start 7592.38034375
transcript.pyannote[1112].end 7596.36284375
transcript.pyannote[1113].speaker SPEAKER_30
transcript.pyannote[1113].start 7596.78471875
transcript.pyannote[1113].end 7598.96159375
transcript.pyannote[1114].speaker SPEAKER_30
transcript.pyannote[1114].start 7599.31596875
transcript.pyannote[1114].end 7600.53096875
transcript.pyannote[1115].speaker SPEAKER_30
transcript.pyannote[1115].start 7601.18909375
transcript.pyannote[1115].end 7604.04096875
transcript.pyannote[1116].speaker SPEAKER_30
transcript.pyannote[1116].start 7604.42909375
transcript.pyannote[1116].end 7609.86284375
transcript.pyannote[1117].speaker SPEAKER_30
transcript.pyannote[1117].start 7610.09909375
transcript.pyannote[1117].end 7619.73471875
transcript.pyannote[1118].speaker SPEAKER_04
transcript.pyannote[1118].start 7619.92034375
transcript.pyannote[1118].end 7622.92409375
transcript.pyannote[1119].speaker SPEAKER_30
transcript.pyannote[1119].start 7622.21534375
transcript.pyannote[1119].end 7624.05471875
transcript.pyannote[1120].speaker SPEAKER_04
transcript.pyannote[1120].start 7624.59471875
transcript.pyannote[1120].end 7624.67909375
transcript.pyannote[1121].speaker SPEAKER_30
transcript.pyannote[1121].start 7624.67909375
transcript.pyannote[1121].end 7624.74659375
transcript.pyannote[1122].speaker SPEAKER_04
transcript.pyannote[1122].start 7624.74659375
transcript.pyannote[1122].end 7624.79721875
transcript.pyannote[1123].speaker SPEAKER_30
transcript.pyannote[1123].start 7624.79721875
transcript.pyannote[1123].end 7625.92784375
transcript.pyannote[1124].speaker SPEAKER_04
transcript.pyannote[1124].start 7626.01221875
transcript.pyannote[1124].end 7637.06534375
transcript.pyannote[1125].speaker SPEAKER_30
transcript.pyannote[1125].start 7636.55909375
transcript.pyannote[1125].end 7638.39846875
transcript.pyannote[1126].speaker SPEAKER_04
transcript.pyannote[1126].start 7638.04409375
transcript.pyannote[1126].end 7639.22534375
transcript.pyannote[1127].speaker SPEAKER_30
transcript.pyannote[1127].start 7639.07346875
transcript.pyannote[1127].end 7642.44846875
transcript.pyannote[1128].speaker SPEAKER_30
transcript.pyannote[1128].start 7643.24159375
transcript.pyannote[1128].end 7651.76346875
transcript.pyannote[1129].speaker SPEAKER_30
transcript.pyannote[1129].start 7652.20221875
transcript.pyannote[1129].end 7652.60721875
transcript.pyannote[1130].speaker SPEAKER_04
transcript.pyannote[1130].start 7652.94471875
transcript.pyannote[1130].end 7658.96909375
transcript.pyannote[1131].speaker SPEAKER_30
transcript.pyannote[1131].start 7658.96909375
transcript.pyannote[1131].end 7666.14096875
transcript.pyannote[1132].speaker SPEAKER_04
transcript.pyannote[1132].start 7659.07034375
transcript.pyannote[1132].end 7659.54284375
transcript.pyannote[1133].speaker SPEAKER_30
transcript.pyannote[1133].start 7666.19159375
transcript.pyannote[1133].end 7666.20846875
transcript.pyannote[1134].speaker SPEAKER_04
transcript.pyannote[1134].start 7666.20846875
transcript.pyannote[1134].end 7666.22534375
transcript.pyannote[1135].speaker SPEAKER_25
transcript.pyannote[1135].start 7666.22534375
transcript.pyannote[1135].end 7666.74846875
transcript.pyannote[1136].speaker SPEAKER_30
transcript.pyannote[1136].start 7666.47846875
transcript.pyannote[1136].end 7675.55721875
transcript.pyannote[1137].speaker SPEAKER_30
transcript.pyannote[1137].start 7677.78471875
transcript.pyannote[1137].end 7678.56096875
transcript.pyannote[1138].speaker SPEAKER_30
transcript.pyannote[1138].start 7678.76346875
transcript.pyannote[1138].end 7682.56034375
transcript.pyannote[1139].speaker SPEAKER_30
transcript.pyannote[1139].start 7683.01596875
transcript.pyannote[1139].end 7684.70346875
transcript.pyannote[1140].speaker SPEAKER_30
transcript.pyannote[1140].start 7685.14221875
transcript.pyannote[1140].end 7686.01971875
transcript.pyannote[1141].speaker SPEAKER_30
transcript.pyannote[1141].start 7686.34034375
transcript.pyannote[1141].end 7687.57221875
transcript.pyannote[1142].speaker SPEAKER_30
transcript.pyannote[1142].start 7687.80846875
transcript.pyannote[1142].end 7689.69846875
transcript.pyannote[1143].speaker SPEAKER_30
transcript.pyannote[1143].start 7690.15409375
transcript.pyannote[1143].end 7693.09034375
transcript.pyannote[1144].speaker SPEAKER_30
transcript.pyannote[1144].start 7693.95096875
transcript.pyannote[1144].end 7695.55409375
transcript.pyannote[1145].speaker SPEAKER_30
transcript.pyannote[1145].start 7695.60471875
transcript.pyannote[1145].end 7697.24159375
transcript.pyannote[1146].speaker SPEAKER_30
transcript.pyannote[1146].start 7697.73096875
transcript.pyannote[1146].end 7698.11909375
transcript.pyannote[1147].speaker SPEAKER_30
transcript.pyannote[1147].start 7698.28784375
transcript.pyannote[1147].end 7699.09784375
transcript.pyannote[1148].speaker SPEAKER_30
transcript.pyannote[1148].start 7700.80221875
transcript.pyannote[1148].end 7701.27471875
transcript.pyannote[1149].speaker SPEAKER_30
transcript.pyannote[1149].start 7701.96659375
transcript.pyannote[1149].end 7702.33784375
transcript.pyannote[1150].speaker SPEAKER_30
transcript.pyannote[1150].start 7702.82721875
transcript.pyannote[1150].end 7703.50221875
transcript.pyannote[1151].speaker SPEAKER_30
transcript.pyannote[1151].start 7703.55284375
transcript.pyannote[1151].end 7704.19409375
transcript.pyannote[1152].speaker SPEAKER_30
transcript.pyannote[1152].start 7705.00409375
transcript.pyannote[1152].end 7706.37096875
transcript.pyannote[1153].speaker SPEAKER_30
transcript.pyannote[1153].start 7707.51846875
transcript.pyannote[1153].end 7707.90659375
transcript.pyannote[1154].speaker SPEAKER_30
transcript.pyannote[1154].start 7707.97409375
transcript.pyannote[1154].end 7711.61909375
transcript.pyannote[1155].speaker SPEAKER_30
transcript.pyannote[1155].start 7712.02409375
transcript.pyannote[1155].end 7712.69909375
transcript.pyannote[1156].speaker SPEAKER_30
transcript.pyannote[1156].start 7714.21784375
transcript.pyannote[1156].end 7719.29721875
transcript.pyannote[1157].speaker SPEAKER_30
transcript.pyannote[1157].start 7719.31409375
transcript.pyannote[1157].end 7719.34784375
transcript.pyannote[1158].speaker SPEAKER_18
transcript.pyannote[1158].start 7720.29284375
transcript.pyannote[1158].end 7732.59471875
transcript.pyannote[1159].speaker SPEAKER_30
transcript.pyannote[1159].start 7720.86659375
transcript.pyannote[1159].end 7721.84534375
transcript.pyannote[1160].speaker SPEAKER_25
transcript.pyannote[1160].start 7721.84534375
transcript.pyannote[1160].end 7721.87909375
transcript.pyannote[1161].speaker SPEAKER_18
transcript.pyannote[1161].start 7732.72971875
transcript.pyannote[1161].end 7733.50596875
transcript.pyannote[1162].speaker SPEAKER_30
transcript.pyannote[1162].start 7732.78034375
transcript.pyannote[1162].end 7736.03721875
transcript.pyannote[1163].speaker SPEAKER_18
transcript.pyannote[1163].start 7734.85596875
transcript.pyannote[1163].end 7735.49721875
transcript.pyannote[1164].speaker SPEAKER_30
transcript.pyannote[1164].start 7736.88096875
transcript.pyannote[1164].end 7740.74534375
transcript.pyannote[1165].speaker SPEAKER_30
transcript.pyannote[1165].start 7741.53846875
transcript.pyannote[1165].end 7752.70971875
transcript.pyannote[1166].speaker SPEAKER_18
transcript.pyannote[1166].start 7753.92471875
transcript.pyannote[1166].end 7758.98721875
transcript.pyannote[1167].speaker SPEAKER_30
transcript.pyannote[1167].start 7754.21159375
transcript.pyannote[1167].end 7756.47284375
transcript.pyannote[1168].speaker SPEAKER_30
transcript.pyannote[1168].start 7759.07159375
transcript.pyannote[1168].end 7760.72534375
transcript.pyannote[1169].speaker SPEAKER_30
transcript.pyannote[1169].start 7761.61971875
transcript.pyannote[1169].end 7770.34409375
transcript.pyannote[1170].speaker SPEAKER_18
transcript.pyannote[1170].start 7768.25159375
transcript.pyannote[1170].end 7769.90534375
transcript.pyannote[1171].speaker SPEAKER_25
transcript.pyannote[1171].start 7769.90534375
transcript.pyannote[1171].end 7770.07409375
transcript.pyannote[1172].speaker SPEAKER_18
transcript.pyannote[1172].start 7770.34409375
transcript.pyannote[1172].end 7774.52909375
transcript.pyannote[1173].speaker SPEAKER_30
transcript.pyannote[1173].start 7771.64346875
transcript.pyannote[1173].end 7772.82471875
transcript.pyannote[1174].speaker SPEAKER_18
transcript.pyannote[1174].start 7774.66409375
transcript.pyannote[1174].end 7781.71784375
transcript.pyannote[1175].speaker SPEAKER_30
transcript.pyannote[1175].start 7774.68096875
transcript.pyannote[1175].end 7778.12346875
transcript.pyannote[1176].speaker SPEAKER_30
transcript.pyannote[1176].start 7781.21159375
transcript.pyannote[1176].end 7787.47221875
transcript.pyannote[1177].speaker SPEAKER_30
transcript.pyannote[1177].start 7787.92784375
transcript.pyannote[1177].end 7789.71659375
transcript.pyannote[1178].speaker SPEAKER_07
transcript.pyannote[1178].start 7790.03721875
transcript.pyannote[1178].end 7790.07096875
transcript.pyannote[1179].speaker SPEAKER_30
transcript.pyannote[1179].start 7790.07096875
transcript.pyannote[1179].end 7790.40846875
transcript.pyannote[1180].speaker SPEAKER_07
transcript.pyannote[1180].start 7792.01159375
transcript.pyannote[1180].end 7793.44596875
transcript.pyannote[1181].speaker SPEAKER_37
transcript.pyannote[1181].start 7795.23471875
transcript.pyannote[1181].end 7801.81596875
transcript.pyannote[1182].speaker SPEAKER_28
transcript.pyannote[1182].start 7801.34346875
transcript.pyannote[1182].end 7805.47784375
transcript.pyannote[1183].speaker SPEAKER_37
transcript.pyannote[1183].start 7804.73534375
transcript.pyannote[1183].end 7805.34284375
transcript.pyannote[1184].speaker SPEAKER_32
transcript.pyannote[1184].start 7900.12971875
transcript.pyannote[1184].end 7901.76659375
transcript.pyannote[1185].speaker SPEAKER_00
transcript.pyannote[1185].start 7900.43346875
transcript.pyannote[1185].end 7900.56846875
transcript.pyannote[1186].speaker SPEAKER_00
transcript.pyannote[1186].start 7900.61909375
transcript.pyannote[1186].end 7900.80471875
transcript.pyannote[1187].speaker SPEAKER_00
transcript.pyannote[1187].start 7901.41221875
transcript.pyannote[1187].end 7901.53034375
transcript.pyannote[1188].speaker SPEAKER_07
transcript.pyannote[1188].start 8224.06221875
transcript.pyannote[1188].end 8229.05721875
transcript.pyannote[1189].speaker SPEAKER_12
transcript.pyannote[1189].start 8234.84534375
transcript.pyannote[1189].end 8240.43096875
transcript.pyannote[1190].speaker SPEAKER_07
transcript.pyannote[1190].start 8239.48596875
transcript.pyannote[1190].end 8240.44784375
transcript.pyannote[1191].speaker SPEAKER_04
transcript.pyannote[1191].start 8240.44784375
transcript.pyannote[1191].end 8240.46471875
transcript.pyannote[1192].speaker SPEAKER_04
transcript.pyannote[1192].start 8245.99971875
transcript.pyannote[1192].end 8246.64096875
transcript.pyannote[1193].speaker SPEAKER_12
transcript.pyannote[1193].start 8246.69159375
transcript.pyannote[1193].end 8248.68284375
transcript.pyannote[1194].speaker SPEAKER_12
transcript.pyannote[1194].start 8248.80096875
transcript.pyannote[1194].end 8254.99409375
transcript.pyannote[1195].speaker SPEAKER_04
transcript.pyannote[1195].start 8251.66971875
transcript.pyannote[1195].end 8251.80471875
transcript.pyannote[1196].speaker SPEAKER_30
transcript.pyannote[1196].start 8251.80471875
transcript.pyannote[1196].end 8251.90596875
transcript.pyannote[1197].speaker SPEAKER_12
transcript.pyannote[1197].start 8255.21346875
transcript.pyannote[1197].end 8294.54909375
transcript.pyannote[1198].speaker SPEAKER_23
transcript.pyannote[1198].start 8259.53346875
transcript.pyannote[1198].end 8259.66846875
transcript.pyannote[1199].speaker SPEAKER_25
transcript.pyannote[1199].start 8259.66846875
transcript.pyannote[1199].end 8259.68534375
transcript.pyannote[1200].speaker SPEAKER_00
transcript.pyannote[1200].start 8281.28534375
transcript.pyannote[1200].end 8281.67346875
transcript.pyannote[1201].speaker SPEAKER_12
transcript.pyannote[1201].start 8295.02159375
transcript.pyannote[1201].end 8296.28721875
transcript.pyannote[1202].speaker SPEAKER_12
transcript.pyannote[1202].start 8296.79346875
transcript.pyannote[1202].end 8301.60284375
transcript.pyannote[1203].speaker SPEAKER_12
transcript.pyannote[1203].start 8301.88971875
transcript.pyannote[1203].end 8304.43784375
transcript.pyannote[1204].speaker SPEAKER_12
transcript.pyannote[1204].start 8305.16346875
transcript.pyannote[1204].end 8306.88471875
transcript.pyannote[1205].speaker SPEAKER_12
transcript.pyannote[1205].start 8307.22221875
transcript.pyannote[1205].end 8310.66471875
transcript.pyannote[1206].speaker SPEAKER_12
transcript.pyannote[1206].start 8311.35659375
transcript.pyannote[1206].end 8313.98909375
transcript.pyannote[1207].speaker SPEAKER_12
transcript.pyannote[1207].start 8314.27596875
transcript.pyannote[1207].end 8315.38971875
transcript.pyannote[1208].speaker SPEAKER_12
transcript.pyannote[1208].start 8316.46971875
transcript.pyannote[1208].end 8318.41034375
transcript.pyannote[1209].speaker SPEAKER_12
transcript.pyannote[1209].start 8319.96284375
transcript.pyannote[1209].end 8321.86971875
transcript.pyannote[1210].speaker SPEAKER_12
transcript.pyannote[1210].start 8321.97096875
transcript.pyannote[1210].end 8331.52221875
transcript.pyannote[1211].speaker SPEAKER_12
transcript.pyannote[1211].start 8331.91034375
transcript.pyannote[1211].end 8334.27284375
transcript.pyannote[1212].speaker SPEAKER_12
transcript.pyannote[1212].start 8334.89721875
transcript.pyannote[1212].end 8335.13346875
transcript.pyannote[1213].speaker SPEAKER_12
transcript.pyannote[1213].start 8336.58471875
transcript.pyannote[1213].end 8339.01471875
transcript.pyannote[1214].speaker SPEAKER_12
transcript.pyannote[1214].start 8339.74034375
transcript.pyannote[1214].end 8341.03971875
transcript.pyannote[1215].speaker SPEAKER_12
transcript.pyannote[1215].start 8341.20846875
transcript.pyannote[1215].end 8342.01846875
transcript.pyannote[1216].speaker SPEAKER_12
transcript.pyannote[1216].start 8342.67659375
transcript.pyannote[1216].end 8344.24596875
transcript.pyannote[1217].speaker SPEAKER_12
transcript.pyannote[1217].start 8345.00534375
transcript.pyannote[1217].end 8347.03034375
transcript.pyannote[1218].speaker SPEAKER_12
transcript.pyannote[1218].start 8347.58721875
transcript.pyannote[1218].end 8356.09221875
transcript.pyannote[1219].speaker SPEAKER_12
transcript.pyannote[1219].start 8356.48034375
transcript.pyannote[1219].end 8363.09534375
transcript.pyannote[1220].speaker SPEAKER_12
transcript.pyannote[1220].start 8363.55096875
transcript.pyannote[1220].end 8380.35846875
transcript.pyannote[1221].speaker SPEAKER_12
transcript.pyannote[1221].start 8380.61159375
transcript.pyannote[1221].end 8384.64471875
transcript.pyannote[1222].speaker SPEAKER_12
transcript.pyannote[1222].start 8385.28596875
transcript.pyannote[1222].end 8390.33159375
transcript.pyannote[1223].speaker SPEAKER_12
transcript.pyannote[1223].start 8391.24284375
transcript.pyannote[1223].end 8393.41971875
transcript.pyannote[1224].speaker SPEAKER_12
transcript.pyannote[1224].start 8393.85846875
transcript.pyannote[1224].end 8407.51034375
transcript.pyannote[1225].speaker SPEAKER_12
transcript.pyannote[1225].start 8408.03346875
transcript.pyannote[1225].end 8412.84284375
transcript.pyannote[1226].speaker SPEAKER_12
transcript.pyannote[1226].start 8413.11284375
transcript.pyannote[1226].end 8415.18846875
transcript.pyannote[1227].speaker SPEAKER_12
transcript.pyannote[1227].start 8415.54284375
transcript.pyannote[1227].end 8415.79596875
transcript.pyannote[1228].speaker SPEAKER_12
transcript.pyannote[1228].start 8416.48784375
transcript.pyannote[1228].end 8423.18721875
transcript.pyannote[1229].speaker SPEAKER_12
transcript.pyannote[1229].start 8423.72721875
transcript.pyannote[1229].end 8425.21221875
transcript.pyannote[1230].speaker SPEAKER_12
transcript.pyannote[1230].start 8425.39784375
transcript.pyannote[1230].end 8429.00909375
transcript.pyannote[1231].speaker SPEAKER_12
transcript.pyannote[1231].start 8429.48159375
transcript.pyannote[1231].end 8441.54721875
transcript.pyannote[1232].speaker SPEAKER_12
transcript.pyannote[1232].start 8442.50909375
transcript.pyannote[1232].end 8454.03471875
transcript.pyannote[1233].speaker SPEAKER_12
transcript.pyannote[1233].start 8454.23721875
transcript.pyannote[1233].end 8455.53659375
transcript.pyannote[1234].speaker SPEAKER_12
transcript.pyannote[1234].start 8456.05971875
transcript.pyannote[1234].end 8457.42659375
transcript.pyannote[1235].speaker SPEAKER_12
transcript.pyannote[1235].start 8458.13534375
transcript.pyannote[1235].end 8459.08034375
transcript.pyannote[1236].speaker SPEAKER_12
transcript.pyannote[1236].start 8459.73846875
transcript.pyannote[1236].end 8471.06159375
transcript.pyannote[1237].speaker SPEAKER_12
transcript.pyannote[1237].start 8471.34846875
transcript.pyannote[1237].end 8477.44034375
transcript.pyannote[1238].speaker SPEAKER_12
transcript.pyannote[1238].start 8478.43596875
transcript.pyannote[1238].end 8479.22909375
transcript.pyannote[1239].speaker SPEAKER_12
transcript.pyannote[1239].start 8479.48221875
transcript.pyannote[1239].end 8481.43971875
transcript.pyannote[1240].speaker SPEAKER_12
transcript.pyannote[1240].start 8481.82784375
transcript.pyannote[1240].end 8484.24096875
transcript.pyannote[1241].speaker SPEAKER_04
transcript.pyannote[1241].start 8484.61221875
transcript.pyannote[1241].end 8484.81471875
transcript.pyannote[1242].speaker SPEAKER_12
transcript.pyannote[1242].start 8485.43909375
transcript.pyannote[1242].end 8486.40096875
transcript.pyannote[1243].speaker SPEAKER_04
transcript.pyannote[1243].start 8486.40096875
transcript.pyannote[1243].end 8491.17659375
transcript.pyannote[1244].speaker SPEAKER_04
transcript.pyannote[1244].start 8491.24409375
transcript.pyannote[1244].end 8492.27346875
transcript.pyannote[1245].speaker SPEAKER_04
transcript.pyannote[1245].start 8493.06659375
transcript.pyannote[1245].end 8497.57221875
transcript.pyannote[1246].speaker SPEAKER_04
transcript.pyannote[1246].start 8497.89284375
transcript.pyannote[1246].end 8501.31846875
transcript.pyannote[1247].speaker SPEAKER_04
transcript.pyannote[1247].start 8501.62221875
transcript.pyannote[1247].end 8506.76909375
transcript.pyannote[1248].speaker SPEAKER_04
transcript.pyannote[1248].start 8506.92096875
transcript.pyannote[1248].end 8507.41034375
transcript.pyannote[1249].speaker SPEAKER_04
transcript.pyannote[1249].start 8507.71409375
transcript.pyannote[1249].end 8517.16409375
transcript.pyannote[1250].speaker SPEAKER_04
transcript.pyannote[1250].start 8517.61971875
transcript.pyannote[1250].end 8531.98034375
transcript.pyannote[1251].speaker SPEAKER_25
transcript.pyannote[1251].start 8530.71471875
transcript.pyannote[1251].end 8531.20409375
transcript.pyannote[1252].speaker SPEAKER_32
transcript.pyannote[1252].start 8531.20409375
transcript.pyannote[1252].end 8531.23784375
transcript.pyannote[1253].speaker SPEAKER_32
transcript.pyannote[1253].start 8531.27159375
transcript.pyannote[1253].end 8531.30534375
transcript.pyannote[1254].speaker SPEAKER_32
transcript.pyannote[1254].start 8531.33909375
transcript.pyannote[1254].end 8531.38971875
transcript.pyannote[1255].speaker SPEAKER_25
transcript.pyannote[1255].start 8531.38971875
transcript.pyannote[1255].end 8531.96346875
transcript.pyannote[1256].speaker SPEAKER_25
transcript.pyannote[1256].start 8531.98034375
transcript.pyannote[1256].end 8532.03096875
transcript.pyannote[1257].speaker SPEAKER_04
transcript.pyannote[1257].start 8532.03096875
transcript.pyannote[1257].end 8572.68284375
transcript.pyannote[1258].speaker SPEAKER_25
transcript.pyannote[1258].start 8532.04784375
transcript.pyannote[1258].end 8532.19971875
transcript.pyannote[1259].speaker SPEAKER_32
transcript.pyannote[1259].start 8532.41909375
transcript.pyannote[1259].end 8532.43596875
transcript.pyannote[1260].speaker SPEAKER_25
transcript.pyannote[1260].start 8532.43596875
transcript.pyannote[1260].end 8532.79034375
transcript.pyannote[1261].speaker SPEAKER_12
transcript.pyannote[1261].start 8572.68284375
transcript.pyannote[1261].end 8581.66034375
transcript.pyannote[1262].speaker SPEAKER_04
transcript.pyannote[1262].start 8577.64409375
transcript.pyannote[1262].end 8577.82971875
transcript.pyannote[1263].speaker SPEAKER_12
transcript.pyannote[1263].start 8581.89659375
transcript.pyannote[1263].end 8583.93846875
transcript.pyannote[1264].speaker SPEAKER_12
transcript.pyannote[1264].start 8584.57971875
transcript.pyannote[1264].end 8594.90721875
transcript.pyannote[1265].speaker SPEAKER_25
transcript.pyannote[1265].start 8592.52784375
transcript.pyannote[1265].end 8593.05096875
transcript.pyannote[1266].speaker SPEAKER_25
transcript.pyannote[1266].start 8595.07596875
transcript.pyannote[1266].end 8595.19409375
transcript.pyannote[1267].speaker SPEAKER_12
transcript.pyannote[1267].start 8595.21096875
transcript.pyannote[1267].end 8595.24471875
transcript.pyannote[1268].speaker SPEAKER_12
transcript.pyannote[1268].start 8595.26159375
transcript.pyannote[1268].end 8603.44596875
transcript.pyannote[1269].speaker SPEAKER_12
transcript.pyannote[1269].start 8603.96909375
transcript.pyannote[1269].end 8606.04471875
transcript.pyannote[1270].speaker SPEAKER_12
transcript.pyannote[1270].start 8606.36534375
transcript.pyannote[1270].end 8616.01784375
transcript.pyannote[1271].speaker SPEAKER_12
transcript.pyannote[1271].start 8616.38909375
transcript.pyannote[1271].end 8618.85284375
transcript.pyannote[1272].speaker SPEAKER_12
transcript.pyannote[1272].start 8619.34221875
transcript.pyannote[1272].end 8620.21971875
transcript.pyannote[1273].speaker SPEAKER_12
transcript.pyannote[1273].start 8620.74284375
transcript.pyannote[1273].end 8630.22659375
transcript.pyannote[1274].speaker SPEAKER_12
transcript.pyannote[1274].start 8630.86784375
transcript.pyannote[1274].end 8632.80846875
transcript.pyannote[1275].speaker SPEAKER_12
transcript.pyannote[1275].start 8633.17971875
transcript.pyannote[1275].end 8638.15784375
transcript.pyannote[1276].speaker SPEAKER_12
transcript.pyannote[1276].start 8638.47846875
transcript.pyannote[1276].end 8645.21159375
transcript.pyannote[1277].speaker SPEAKER_29
transcript.pyannote[1277].start 8640.13221875
transcript.pyannote[1277].end 8640.16596875
transcript.pyannote[1278].speaker SPEAKER_25
transcript.pyannote[1278].start 8640.16596875
transcript.pyannote[1278].end 8640.35159375
transcript.pyannote[1279].speaker SPEAKER_29
transcript.pyannote[1279].start 8640.35159375
transcript.pyannote[1279].end 8640.43596875
transcript.pyannote[1280].speaker SPEAKER_12
transcript.pyannote[1280].start 8645.51534375
transcript.pyannote[1280].end 8648.73846875
transcript.pyannote[1281].speaker SPEAKER_12
transcript.pyannote[1281].start 8649.32909375
transcript.pyannote[1281].end 8651.97846875
transcript.pyannote[1282].speaker SPEAKER_12
transcript.pyannote[1282].start 8652.92346875
transcript.pyannote[1282].end 8654.89784375
transcript.pyannote[1283].speaker SPEAKER_12
transcript.pyannote[1283].start 8655.20159375
transcript.pyannote[1283].end 8656.70346875
transcript.pyannote[1284].speaker SPEAKER_12
transcript.pyannote[1284].start 8657.46284375
transcript.pyannote[1284].end 8661.00659375
transcript.pyannote[1285].speaker SPEAKER_12
transcript.pyannote[1285].start 8661.71534375
transcript.pyannote[1285].end 8663.60534375
transcript.pyannote[1286].speaker SPEAKER_12
transcript.pyannote[1286].start 8663.94284375
transcript.pyannote[1286].end 8665.07346875
transcript.pyannote[1287].speaker SPEAKER_12
transcript.pyannote[1287].start 8665.66409375
transcript.pyannote[1287].end 8665.98471875
transcript.pyannote[1288].speaker SPEAKER_12
transcript.pyannote[1288].start 8666.79471875
transcript.pyannote[1288].end 8668.36409375
transcript.pyannote[1289].speaker SPEAKER_12
transcript.pyannote[1289].start 8669.39346875
transcript.pyannote[1289].end 8670.37221875
transcript.pyannote[1290].speaker SPEAKER_12
transcript.pyannote[1290].start 8670.67596875
transcript.pyannote[1290].end 8671.03034375
transcript.pyannote[1291].speaker SPEAKER_04
transcript.pyannote[1291].start 8671.57034375
transcript.pyannote[1291].end 8671.63784375
transcript.pyannote[1292].speaker SPEAKER_25
transcript.pyannote[1292].start 8671.63784375
transcript.pyannote[1292].end 8671.82346875
transcript.pyannote[1293].speaker SPEAKER_12
transcript.pyannote[1293].start 8671.80659375
transcript.pyannote[1293].end 8672.63346875
transcript.pyannote[1294].speaker SPEAKER_04
transcript.pyannote[1294].start 8671.84034375
transcript.pyannote[1294].end 8671.92471875
transcript.pyannote[1295].speaker SPEAKER_12
transcript.pyannote[1295].start 8672.85284375
transcript.pyannote[1295].end 8675.08034375
transcript.pyannote[1296].speaker SPEAKER_25
transcript.pyannote[1296].start 8672.97096875
transcript.pyannote[1296].end 8673.03846875
transcript.pyannote[1297].speaker SPEAKER_04
transcript.pyannote[1297].start 8673.03846875
transcript.pyannote[1297].end 8673.39284375
transcript.pyannote[1298].speaker SPEAKER_12
transcript.pyannote[1298].start 8675.24909375
transcript.pyannote[1298].end 8676.36284375
transcript.pyannote[1299].speaker SPEAKER_04
transcript.pyannote[1299].start 8677.10534375
transcript.pyannote[1299].end 8680.48034375
transcript.pyannote[1300].speaker SPEAKER_12
transcript.pyannote[1300].start 8677.13909375
transcript.pyannote[1300].end 8678.11784375
transcript.pyannote[1301].speaker SPEAKER_12
transcript.pyannote[1301].start 8679.33284375
transcript.pyannote[1301].end 8680.83471875
transcript.pyannote[1302].speaker SPEAKER_04
transcript.pyannote[1302].start 8680.63221875
transcript.pyannote[1302].end 8680.69971875
transcript.pyannote[1303].speaker SPEAKER_04
transcript.pyannote[1303].start 8680.83471875
transcript.pyannote[1303].end 8681.32409375
transcript.pyannote[1304].speaker SPEAKER_12
transcript.pyannote[1304].start 8681.12159375
transcript.pyannote[1304].end 8682.13409375
transcript.pyannote[1305].speaker SPEAKER_04
transcript.pyannote[1305].start 8684.42909375
transcript.pyannote[1305].end 8686.09971875
transcript.pyannote[1306].speaker SPEAKER_12
transcript.pyannote[1306].start 8685.52596875
transcript.pyannote[1306].end 8687.98971875
transcript.pyannote[1307].speaker SPEAKER_12
transcript.pyannote[1307].start 8688.31034375
transcript.pyannote[1307].end 8688.76596875
transcript.pyannote[1308].speaker SPEAKER_12
transcript.pyannote[1308].start 8688.86721875
transcript.pyannote[1308].end 8690.57159375
transcript.pyannote[1309].speaker SPEAKER_12
transcript.pyannote[1309].start 8692.29284375
transcript.pyannote[1309].end 8693.11971875
transcript.pyannote[1310].speaker SPEAKER_12
transcript.pyannote[1310].start 8693.54159375
transcript.pyannote[1310].end 8693.76096875
transcript.pyannote[1311].speaker SPEAKER_12
transcript.pyannote[1311].start 8694.08159375
transcript.pyannote[1311].end 8695.46534375
transcript.pyannote[1312].speaker SPEAKER_12
transcript.pyannote[1312].start 8698.01346875
transcript.pyannote[1312].end 8699.32971875
transcript.pyannote[1313].speaker SPEAKER_06
transcript.pyannote[1313].start 8700.20721875
transcript.pyannote[1313].end 8701.15221875
transcript.pyannote[1314].speaker SPEAKER_06
transcript.pyannote[1314].start 8701.52346875
transcript.pyannote[1314].end 8701.92846875
transcript.pyannote[1315].speaker SPEAKER_12
transcript.pyannote[1315].start 8701.99596875
transcript.pyannote[1315].end 8703.76784375
transcript.pyannote[1316].speaker SPEAKER_06
transcript.pyannote[1316].start 8706.90659375
transcript.pyannote[1316].end 8706.92346875
transcript.pyannote[1317].speaker SPEAKER_12
transcript.pyannote[1317].start 8706.92346875
transcript.pyannote[1317].end 8709.15096875
transcript.pyannote[1318].speaker SPEAKER_12
transcript.pyannote[1318].start 8709.64034375
transcript.pyannote[1318].end 8710.63596875
transcript.pyannote[1319].speaker SPEAKER_12
transcript.pyannote[1319].start 8711.07471875
transcript.pyannote[1319].end 8712.32346875
transcript.pyannote[1320].speaker SPEAKER_12
transcript.pyannote[1320].start 8713.99409375
transcript.pyannote[1320].end 8718.01034375
transcript.pyannote[1321].speaker SPEAKER_04
transcript.pyannote[1321].start 8717.87534375
transcript.pyannote[1321].end 8718.97221875
transcript.pyannote[1322].speaker SPEAKER_12
transcript.pyannote[1322].start 8718.68534375
transcript.pyannote[1322].end 8728.16909375
transcript.pyannote[1323].speaker SPEAKER_25
transcript.pyannote[1323].start 8718.97221875
transcript.pyannote[1323].end 8719.76534375
transcript.pyannote[1324].speaker SPEAKER_12
transcript.pyannote[1324].start 8728.74284375
transcript.pyannote[1324].end 8729.67096875
transcript.pyannote[1325].speaker SPEAKER_12
transcript.pyannote[1325].start 8729.89034375
transcript.pyannote[1325].end 8736.20159375
transcript.pyannote[1326].speaker SPEAKER_12
transcript.pyannote[1326].start 8737.65284375
transcript.pyannote[1326].end 8739.28971875
transcript.pyannote[1327].speaker SPEAKER_04
transcript.pyannote[1327].start 8739.57659375
transcript.pyannote[1327].end 8746.88346875
transcript.pyannote[1328].speaker SPEAKER_04
transcript.pyannote[1328].start 8747.30534375
transcript.pyannote[1328].end 8750.71409375
transcript.pyannote[1329].speaker SPEAKER_12
transcript.pyannote[1329].start 8749.71846875
transcript.pyannote[1329].end 8753.80221875
transcript.pyannote[1330].speaker SPEAKER_04
transcript.pyannote[1330].start 8751.64221875
transcript.pyannote[1330].end 8755.40534375
transcript.pyannote[1331].speaker SPEAKER_12
transcript.pyannote[1331].start 8754.52784375
transcript.pyannote[1331].end 8755.67534375
transcript.pyannote[1332].speaker SPEAKER_04
transcript.pyannote[1332].start 8755.67534375
transcript.pyannote[1332].end 8789.57721875
transcript.pyannote[1333].speaker SPEAKER_04
transcript.pyannote[1333].start 8789.81346875
transcript.pyannote[1333].end 8792.68221875
transcript.pyannote[1334].speaker SPEAKER_04
transcript.pyannote[1334].start 8792.95221875
transcript.pyannote[1334].end 8793.30659375
transcript.pyannote[1335].speaker SPEAKER_04
transcript.pyannote[1335].start 8793.57659375
transcript.pyannote[1335].end 8798.97659375
transcript.pyannote[1336].speaker SPEAKER_12
transcript.pyannote[1336].start 8798.97659375
transcript.pyannote[1336].end 8799.36471875
transcript.pyannote[1337].speaker SPEAKER_12
transcript.pyannote[1337].start 8799.58409375
transcript.pyannote[1337].end 8808.03846875
transcript.pyannote[1338].speaker SPEAKER_12
transcript.pyannote[1338].start 8808.47721875
transcript.pyannote[1338].end 8810.85659375
transcript.pyannote[1339].speaker SPEAKER_04
transcript.pyannote[1339].start 8810.85659375
transcript.pyannote[1339].end 8811.44721875
transcript.pyannote[1340].speaker SPEAKER_12
transcript.pyannote[1340].start 8811.29534375
transcript.pyannote[1340].end 8814.06284375
transcript.pyannote[1341].speaker SPEAKER_12
transcript.pyannote[1341].start 8814.21471875
transcript.pyannote[1341].end 8814.26534375
transcript.pyannote[1342].speaker SPEAKER_04
transcript.pyannote[1342].start 8814.26534375
transcript.pyannote[1342].end 8814.60284375
transcript.pyannote[1343].speaker SPEAKER_12
transcript.pyannote[1343].start 8814.33284375
transcript.pyannote[1343].end 8815.96971875
transcript.pyannote[1344].speaker SPEAKER_04
transcript.pyannote[1344].start 8815.42971875
transcript.pyannote[1344].end 8815.85159375
transcript.pyannote[1345].speaker SPEAKER_12
transcript.pyannote[1345].start 8816.79659375
transcript.pyannote[1345].end 8819.80034375
transcript.pyannote[1346].speaker SPEAKER_04
transcript.pyannote[1346].start 8817.64034375
transcript.pyannote[1346].end 8818.63596875
transcript.pyannote[1347].speaker SPEAKER_04
transcript.pyannote[1347].start 8820.15471875
transcript.pyannote[1347].end 8820.25596875
transcript.pyannote[1348].speaker SPEAKER_12
transcript.pyannote[1348].start 8821.15034375
transcript.pyannote[1348].end 8823.04034375
transcript.pyannote[1349].speaker SPEAKER_04
transcript.pyannote[1349].start 8823.04034375
transcript.pyannote[1349].end 8837.75534375
transcript.pyannote[1350].speaker SPEAKER_12
transcript.pyannote[1350].start 8823.41159375
transcript.pyannote[1350].end 8824.82909375
transcript.pyannote[1351].speaker SPEAKER_04
transcript.pyannote[1351].start 8837.82284375
transcript.pyannote[1351].end 8837.87346875
transcript.pyannote[1352].speaker SPEAKER_12
transcript.pyannote[1352].start 8837.87346875
transcript.pyannote[1352].end 8843.59409375
transcript.pyannote[1353].speaker SPEAKER_04
transcript.pyannote[1353].start 8837.92409375
transcript.pyannote[1353].end 8837.94096875
transcript.pyannote[1354].speaker SPEAKER_04
transcript.pyannote[1354].start 8838.00846875
transcript.pyannote[1354].end 8838.71721875
transcript.pyannote[1355].speaker SPEAKER_04
transcript.pyannote[1355].start 8840.50596875
transcript.pyannote[1355].end 8840.80971875
transcript.pyannote[1356].speaker SPEAKER_12
transcript.pyannote[1356].start 8844.04971875
transcript.pyannote[1356].end 8846.95221875
transcript.pyannote[1357].speaker SPEAKER_12
transcript.pyannote[1357].start 8847.86346875
transcript.pyannote[1357].end 8871.60659375
transcript.pyannote[1358].speaker SPEAKER_04
transcript.pyannote[1358].start 8872.56846875
transcript.pyannote[1358].end 8877.58034375
transcript.pyannote[1359].speaker SPEAKER_12
transcript.pyannote[1359].start 8876.90534375
transcript.pyannote[1359].end 8883.14909375
transcript.pyannote[1360].speaker SPEAKER_04
transcript.pyannote[1360].start 8880.85409375
transcript.pyannote[1360].end 8880.95534375
transcript.pyannote[1361].speaker SPEAKER_12
transcript.pyannote[1361].start 8883.85784375
transcript.pyannote[1361].end 8884.07721875
transcript.pyannote[1362].speaker SPEAKER_04
transcript.pyannote[1362].start 8884.38096875
transcript.pyannote[1362].end 8885.86596875
transcript.pyannote[1363].speaker SPEAKER_12
transcript.pyannote[1363].start 8885.32596875
transcript.pyannote[1363].end 8885.66346875
transcript.pyannote[1364].speaker SPEAKER_04
transcript.pyannote[1364].start 8886.20346875
transcript.pyannote[1364].end 8886.38909375
transcript.pyannote[1365].speaker SPEAKER_12
transcript.pyannote[1365].start 8887.03034375
transcript.pyannote[1365].end 8898.30284375
transcript.pyannote[1366].speaker SPEAKER_04
transcript.pyannote[1366].start 8890.82721875
transcript.pyannote[1366].end 8891.63721875
transcript.pyannote[1367].speaker SPEAKER_07
transcript.pyannote[1367].start 8894.84346875
transcript.pyannote[1367].end 8896.64909375
transcript.pyannote[1368].speaker SPEAKER_12
transcript.pyannote[1368].start 8898.53909375
transcript.pyannote[1368].end 8899.93971875
transcript.pyannote[1369].speaker SPEAKER_12
transcript.pyannote[1369].start 8900.53034375
transcript.pyannote[1369].end 8901.25596875
transcript.pyannote[1370].speaker SPEAKER_07
transcript.pyannote[1370].start 8901.44159375
transcript.pyannote[1370].end 8902.35284375
transcript.pyannote[1371].speaker SPEAKER_07
transcript.pyannote[1371].start 8904.96846875
transcript.pyannote[1371].end 8905.76159375
transcript.pyannote[1372].speaker SPEAKER_12
transcript.pyannote[1372].start 8905.06971875
transcript.pyannote[1372].end 8905.42409375
transcript.pyannote[1373].speaker SPEAKER_12
transcript.pyannote[1373].start 8905.76159375
transcript.pyannote[1373].end 8908.47846875
transcript.pyannote[1374].speaker SPEAKER_12
transcript.pyannote[1374].start 8908.69784375
transcript.pyannote[1374].end 8909.38971875
transcript.pyannote[1375].speaker SPEAKER_12
transcript.pyannote[1375].start 8909.64284375
transcript.pyannote[1375].end 8911.06034375
transcript.pyannote[1376].speaker SPEAKER_12
transcript.pyannote[1376].start 8911.19534375
transcript.pyannote[1376].end 8912.88284375
transcript.pyannote[1377].speaker SPEAKER_12
transcript.pyannote[1377].start 8913.55784375
transcript.pyannote[1377].end 8918.40096875
transcript.pyannote[1378].speaker SPEAKER_12
transcript.pyannote[1378].start 8918.87346875
transcript.pyannote[1378].end 8921.52284375
transcript.pyannote[1379].speaker SPEAKER_12
transcript.pyannote[1379].start 8922.04596875
transcript.pyannote[1379].end 8922.90659375
transcript.pyannote[1380].speaker SPEAKER_12
transcript.pyannote[1380].start 8922.97409375
transcript.pyannote[1380].end 8924.76284375
transcript.pyannote[1381].speaker SPEAKER_12
transcript.pyannote[1381].start 8925.42096875
transcript.pyannote[1381].end 8926.87221875
transcript.pyannote[1382].speaker SPEAKER_12
transcript.pyannote[1382].start 8927.17596875
transcript.pyannote[1382].end 8929.94346875
transcript.pyannote[1383].speaker SPEAKER_12
transcript.pyannote[1383].start 8930.70284375
transcript.pyannote[1383].end 8931.22596875
transcript.pyannote[1384].speaker SPEAKER_12
transcript.pyannote[1384].start 8931.51284375
transcript.pyannote[1384].end 8931.95159375
transcript.pyannote[1385].speaker SPEAKER_12
transcript.pyannote[1385].start 8932.28909375
transcript.pyannote[1385].end 8932.74471875
transcript.pyannote[1386].speaker SPEAKER_12
transcript.pyannote[1386].start 8933.20034375
transcript.pyannote[1386].end 8933.99346875
transcript.pyannote[1387].speaker SPEAKER_18
transcript.pyannote[1387].start 8934.33096875
transcript.pyannote[1387].end 8936.59221875
transcript.pyannote[1388].speaker SPEAKER_12
transcript.pyannote[1388].start 8935.29284375
transcript.pyannote[1388].end 8936.55846875
transcript.pyannote[1389].speaker SPEAKER_12
transcript.pyannote[1389].start 8936.59221875
transcript.pyannote[1389].end 8936.64284375
transcript.pyannote[1390].speaker SPEAKER_12
transcript.pyannote[1390].start 8936.82846875
transcript.pyannote[1390].end 8937.94221875
transcript.pyannote[1391].speaker SPEAKER_18
transcript.pyannote[1391].start 8939.07284375
transcript.pyannote[1391].end 8939.27534375
transcript.pyannote[1392].speaker SPEAKER_18
transcript.pyannote[1392].start 8939.59596875
transcript.pyannote[1392].end 8943.94971875
transcript.pyannote[1393].speaker SPEAKER_18
transcript.pyannote[1393].start 8944.74284375
transcript.pyannote[1393].end 8946.39659375
transcript.pyannote[1394].speaker SPEAKER_12
transcript.pyannote[1394].start 8944.96221875
transcript.pyannote[1394].end 8946.64971875
transcript.pyannote[1395].speaker SPEAKER_12
transcript.pyannote[1395].start 8948.26971875
transcript.pyannote[1395].end 8949.70409375
transcript.pyannote[1396].speaker SPEAKER_12
transcript.pyannote[1396].start 8950.68284375
transcript.pyannote[1396].end 8952.92721875
transcript.pyannote[1397].speaker SPEAKER_12
transcript.pyannote[1397].start 8952.97784375
transcript.pyannote[1397].end 8956.23471875
transcript.pyannote[1398].speaker SPEAKER_18
transcript.pyannote[1398].start 8954.02409375
transcript.pyannote[1398].end 8961.71909375
transcript.pyannote[1399].speaker SPEAKER_12
transcript.pyannote[1399].start 8960.33534375
transcript.pyannote[1399].end 8960.85846875
transcript.pyannote[1400].speaker SPEAKER_12
transcript.pyannote[1400].start 8961.71909375
transcript.pyannote[1400].end 8969.00909375
transcript.pyannote[1401].speaker SPEAKER_18
transcript.pyannote[1401].start 8962.02284375
transcript.pyannote[1401].end 8963.33909375
transcript.pyannote[1402].speaker SPEAKER_18
transcript.pyannote[1402].start 8969.24534375
transcript.pyannote[1402].end 8969.41409375
transcript.pyannote[1403].speaker SPEAKER_12
transcript.pyannote[1403].start 8969.53221875
transcript.pyannote[1403].end 8972.40096875
transcript.pyannote[1404].speaker SPEAKER_18
transcript.pyannote[1404].start 8972.26596875
transcript.pyannote[1404].end 8980.55159375
transcript.pyannote[1405].speaker SPEAKER_18
transcript.pyannote[1405].start 8980.65284375
transcript.pyannote[1405].end 8985.96846875
transcript.pyannote[1406].speaker SPEAKER_12
transcript.pyannote[1406].start 8985.07409375
transcript.pyannote[1406].end 8990.23784375
transcript.pyannote[1407].speaker SPEAKER_12
transcript.pyannote[1407].start 8990.50784375
transcript.pyannote[1407].end 8991.67221875
transcript.pyannote[1408].speaker SPEAKER_12
transcript.pyannote[1408].start 8992.34721875
transcript.pyannote[1408].end 8993.39346875
transcript.pyannote[1409].speaker SPEAKER_12
transcript.pyannote[1409].start 8993.68034375
transcript.pyannote[1409].end 8997.64596875
transcript.pyannote[1410].speaker SPEAKER_12
transcript.pyannote[1410].start 8998.52346875
transcript.pyannote[1410].end 9000.10971875
transcript.pyannote[1411].speaker SPEAKER_32
transcript.pyannote[1411].start 9000.22784375
transcript.pyannote[1411].end 9000.49784375
transcript.pyannote[1412].speaker SPEAKER_12
transcript.pyannote[1412].start 9001.40909375
transcript.pyannote[1412].end 9002.32034375
transcript.pyannote[1413].speaker SPEAKER_12
transcript.pyannote[1413].start 9002.82659375
transcript.pyannote[1413].end 9003.21471875
transcript.pyannote[1414].speaker SPEAKER_12
transcript.pyannote[1414].start 9003.60284375
transcript.pyannote[1414].end 9004.02471875
transcript.pyannote[1415].speaker SPEAKER_12
transcript.pyannote[1415].start 9004.07534375
transcript.pyannote[1415].end 9004.59846875
transcript.pyannote[1416].speaker SPEAKER_12
transcript.pyannote[1416].start 9005.12159375
transcript.pyannote[1416].end 9006.82596875
transcript.pyannote[1417].speaker SPEAKER_12
transcript.pyannote[1417].start 9007.23096875
transcript.pyannote[1417].end 9011.34846875
transcript.pyannote[1418].speaker SPEAKER_12
transcript.pyannote[1418].start 9012.20909375
transcript.pyannote[1418].end 9014.40284375
transcript.pyannote[1419].speaker SPEAKER_12
transcript.pyannote[1419].start 9014.67284375
transcript.pyannote[1419].end 9015.49971875
transcript.pyannote[1420].speaker SPEAKER_12
transcript.pyannote[1420].start 9016.66409375
transcript.pyannote[1420].end 9017.52471875
transcript.pyannote[1421].speaker SPEAKER_12
transcript.pyannote[1421].start 9018.11534375
transcript.pyannote[1421].end 9019.60034375
transcript.pyannote[1422].speaker SPEAKER_12
transcript.pyannote[1422].start 9020.39346875
transcript.pyannote[1422].end 9020.68034375
transcript.pyannote[1423].speaker SPEAKER_12
transcript.pyannote[1423].start 9021.20346875
transcript.pyannote[1423].end 9022.92471875
transcript.pyannote[1424].speaker SPEAKER_12
transcript.pyannote[1424].start 9024.24096875
transcript.pyannote[1424].end 9025.43909375
transcript.pyannote[1425].speaker SPEAKER_18
transcript.pyannote[1425].start 9026.40096875
transcript.pyannote[1425].end 9035.66534375
transcript.pyannote[1426].speaker SPEAKER_12
transcript.pyannote[1426].start 9035.32784375
transcript.pyannote[1426].end 9035.56409375
transcript.pyannote[1427].speaker SPEAKER_12
transcript.pyannote[1427].start 9035.66534375
transcript.pyannote[1427].end 9035.68221875
transcript.pyannote[1428].speaker SPEAKER_18
transcript.pyannote[1428].start 9035.68221875
transcript.pyannote[1428].end 9038.12909375
transcript.pyannote[1429].speaker SPEAKER_12
transcript.pyannote[1429].start 9036.74534375
transcript.pyannote[1429].end 9051.35909375
transcript.pyannote[1430].speaker SPEAKER_18
transcript.pyannote[1430].start 9038.87159375
transcript.pyannote[1430].end 9040.37346875
transcript.pyannote[1431].speaker SPEAKER_00
transcript.pyannote[1431].start 9049.87409375
transcript.pyannote[1431].end 9050.07659375
transcript.pyannote[1432].speaker SPEAKER_12
transcript.pyannote[1432].start 9051.59534375
transcript.pyannote[1432].end 9054.64971875
transcript.pyannote[1433].speaker SPEAKER_12
transcript.pyannote[1433].start 9054.93659375
transcript.pyannote[1433].end 9056.65784375
transcript.pyannote[1434].speaker SPEAKER_12
transcript.pyannote[1434].start 9057.18096875
transcript.pyannote[1434].end 9059.86409375
transcript.pyannote[1435].speaker SPEAKER_12
transcript.pyannote[1435].start 9060.26909375
transcript.pyannote[1435].end 9060.28596875
transcript.pyannote[1436].speaker SPEAKER_25
transcript.pyannote[1436].start 9060.28596875
transcript.pyannote[1436].end 9060.37034375
transcript.pyannote[1437].speaker SPEAKER_12
transcript.pyannote[1437].start 9060.43784375
transcript.pyannote[1437].end 9061.97346875
transcript.pyannote[1438].speaker SPEAKER_25
transcript.pyannote[1438].start 9061.97346875
transcript.pyannote[1438].end 9061.99034375
transcript.pyannote[1439].speaker SPEAKER_12
transcript.pyannote[1439].start 9061.99034375
transcript.pyannote[1439].end 9062.00721875
transcript.pyannote[1440].speaker SPEAKER_25
transcript.pyannote[1440].start 9062.00721875
transcript.pyannote[1440].end 9062.05784375
transcript.pyannote[1441].speaker SPEAKER_12
transcript.pyannote[1441].start 9062.05784375
transcript.pyannote[1441].end 9062.09159375
transcript.pyannote[1442].speaker SPEAKER_12
transcript.pyannote[1442].start 9062.10846875
transcript.pyannote[1442].end 9062.93534375
transcript.pyannote[1443].speaker SPEAKER_02
transcript.pyannote[1443].start 9064.21784375
transcript.pyannote[1443].end 9064.42034375
transcript.pyannote[1444].speaker SPEAKER_12
transcript.pyannote[1444].start 9064.99409375
transcript.pyannote[1444].end 9065.71971875
transcript.pyannote[1445].speaker SPEAKER_12
transcript.pyannote[1445].start 9065.83784375
transcript.pyannote[1445].end 9066.88409375
transcript.pyannote[1446].speaker SPEAKER_12
transcript.pyannote[1446].start 9067.42409375
transcript.pyannote[1446].end 9068.58846875
transcript.pyannote[1447].speaker SPEAKER_12
transcript.pyannote[1447].start 9069.01034375
transcript.pyannote[1447].end 9069.68534375
transcript.pyannote[1448].speaker SPEAKER_12
transcript.pyannote[1448].start 9069.87096875
transcript.pyannote[1448].end 9070.51221875
transcript.pyannote[1449].speaker SPEAKER_12
transcript.pyannote[1449].start 9070.66409375
transcript.pyannote[1449].end 9072.92534375
transcript.pyannote[1450].speaker SPEAKER_12
transcript.pyannote[1450].start 9073.02659375
transcript.pyannote[1450].end 9073.04346875
transcript.pyannote[1451].speaker SPEAKER_32
transcript.pyannote[1451].start 9073.04346875
transcript.pyannote[1451].end 9073.27971875
transcript.pyannote[1452].speaker SPEAKER_07
transcript.pyannote[1452].start 9073.27971875
transcript.pyannote[1452].end 9073.31346875
transcript.pyannote[1453].speaker SPEAKER_32
transcript.pyannote[1453].start 9073.31346875
transcript.pyannote[1453].end 9073.33034375
transcript.pyannote[1454].speaker SPEAKER_12
transcript.pyannote[1454].start 9073.58346875
transcript.pyannote[1454].end 9077.32971875
transcript.pyannote[1455].speaker SPEAKER_07
transcript.pyannote[1455].start 9075.45659375
transcript.pyannote[1455].end 9075.59159375
transcript.pyannote[1456].speaker SPEAKER_07
transcript.pyannote[1456].start 9077.68409375
transcript.pyannote[1456].end 9086.49284375
transcript.pyannote[1457].speaker SPEAKER_36
transcript.pyannote[1457].start 9092.48346875
transcript.pyannote[1457].end 9097.57971875
transcript.pyannote[1458].speaker SPEAKER_36
transcript.pyannote[1458].start 9101.83221875
transcript.pyannote[1458].end 9126.08159375
transcript.pyannote[1459].speaker SPEAKER_36
transcript.pyannote[1459].start 9126.52034375
transcript.pyannote[1459].end 9144.03659375
transcript.pyannote[1460].speaker SPEAKER_36
transcript.pyannote[1460].start 9145.03221875
transcript.pyannote[1460].end 9147.42846875
transcript.pyannote[1461].speaker SPEAKER_04
transcript.pyannote[1461].start 9147.91784375
transcript.pyannote[1461].end 9148.03596875
transcript.pyannote[1462].speaker SPEAKER_04
transcript.pyannote[1462].start 9148.74471875
transcript.pyannote[1462].end 9169.14659375
transcript.pyannote[1463].speaker SPEAKER_03
transcript.pyannote[1463].start 9159.30846875
transcript.pyannote[1463].end 9159.94971875
transcript.pyannote[1464].speaker SPEAKER_36
transcript.pyannote[1464].start 9165.07971875
transcript.pyannote[1464].end 9165.70409375
transcript.pyannote[1465].speaker SPEAKER_36
transcript.pyannote[1465].start 9167.03721875
transcript.pyannote[1465].end 9188.78909375
transcript.pyannote[1466].speaker SPEAKER_25
transcript.pyannote[1466].start 9179.69346875
transcript.pyannote[1466].end 9180.55409375
transcript.pyannote[1467].speaker SPEAKER_36
transcript.pyannote[1467].start 9189.34596875
transcript.pyannote[1467].end 9192.73784375
transcript.pyannote[1468].speaker SPEAKER_04
transcript.pyannote[1468].start 9193.32846875
transcript.pyannote[1468].end 9193.85159375
transcript.pyannote[1469].speaker SPEAKER_36
transcript.pyannote[1469].start 9193.85159375
transcript.pyannote[1469].end 9196.38284375
transcript.pyannote[1470].speaker SPEAKER_04
transcript.pyannote[1470].start 9196.38284375
transcript.pyannote[1470].end 9196.63596875
transcript.pyannote[1471].speaker SPEAKER_36
transcript.pyannote[1471].start 9196.97346875
transcript.pyannote[1471].end 9199.13346875
transcript.pyannote[1472].speaker SPEAKER_04
transcript.pyannote[1472].start 9199.13346875
transcript.pyannote[1472].end 9199.30221875
transcript.pyannote[1473].speaker SPEAKER_36
transcript.pyannote[1473].start 9199.30221875
transcript.pyannote[1473].end 9203.53784375
transcript.pyannote[1474].speaker SPEAKER_04
transcript.pyannote[1474].start 9199.35284375
transcript.pyannote[1474].end 9199.40346875
transcript.pyannote[1475].speaker SPEAKER_36
transcript.pyannote[1475].start 9203.92596875
transcript.pyannote[1475].end 9215.51909375
transcript.pyannote[1476].speaker SPEAKER_36
transcript.pyannote[1476].start 9215.90721875
transcript.pyannote[1476].end 9216.97034375
transcript.pyannote[1477].speaker SPEAKER_04
transcript.pyannote[1477].start 9216.97034375
transcript.pyannote[1477].end 9219.58596875
transcript.pyannote[1478].speaker SPEAKER_04
transcript.pyannote[1478].start 9219.72096875
transcript.pyannote[1478].end 9234.09846875
transcript.pyannote[1479].speaker SPEAKER_04
transcript.pyannote[1479].start 9234.18284375
transcript.pyannote[1479].end 9234.21659375
transcript.pyannote[1480].speaker SPEAKER_04
transcript.pyannote[1480].start 9234.23346875
transcript.pyannote[1480].end 9271.99971875
transcript.pyannote[1481].speaker SPEAKER_36
transcript.pyannote[1481].start 9266.75159375
transcript.pyannote[1481].end 9268.00034375
transcript.pyannote[1482].speaker SPEAKER_36
transcript.pyannote[1482].start 9271.99971875
transcript.pyannote[1482].end 9285.97221875
transcript.pyannote[1483].speaker SPEAKER_04
transcript.pyannote[1483].start 9272.03346875
transcript.pyannote[1483].end 9273.78846875
transcript.pyannote[1484].speaker SPEAKER_04
transcript.pyannote[1484].start 9278.49659375
transcript.pyannote[1484].end 9279.96471875
transcript.pyannote[1485].speaker SPEAKER_04
transcript.pyannote[1485].start 9284.06534375
transcript.pyannote[1485].end 9284.25096875
transcript.pyannote[1486].speaker SPEAKER_04
transcript.pyannote[1486].start 9285.97221875
transcript.pyannote[1486].end 9302.81346875
transcript.pyannote[1487].speaker SPEAKER_36
transcript.pyannote[1487].start 9286.81596875
transcript.pyannote[1487].end 9287.01846875
transcript.pyannote[1488].speaker SPEAKER_04
transcript.pyannote[1488].start 9302.86409375
transcript.pyannote[1488].end 9318.91221875
transcript.pyannote[1489].speaker SPEAKER_00
transcript.pyannote[1489].start 9312.85409375
transcript.pyannote[1489].end 9313.34346875
transcript.pyannote[1490].speaker SPEAKER_36
transcript.pyannote[1490].start 9318.91221875
transcript.pyannote[1490].end 9318.94596875
transcript.pyannote[1491].speaker SPEAKER_04
transcript.pyannote[1491].start 9318.94596875
transcript.pyannote[1491].end 9319.03034375
transcript.pyannote[1492].speaker SPEAKER_36
transcript.pyannote[1492].start 9319.03034375
transcript.pyannote[1492].end 9332.53034375
transcript.pyannote[1493].speaker SPEAKER_18
transcript.pyannote[1493].start 9328.68284375
transcript.pyannote[1493].end 9329.02034375
transcript.pyannote[1494].speaker SPEAKER_36
transcript.pyannote[1494].start 9333.20534375
transcript.pyannote[1494].end 9343.81971875
transcript.pyannote[1495].speaker SPEAKER_36
transcript.pyannote[1495].start 9344.19096875
transcript.pyannote[1495].end 9346.09784375
transcript.pyannote[1496].speaker SPEAKER_36
transcript.pyannote[1496].start 9346.65471875
transcript.pyannote[1496].end 9360.25596875
transcript.pyannote[1497].speaker SPEAKER_07
transcript.pyannote[1497].start 9356.34096875
transcript.pyannote[1497].end 9356.88096875
transcript.pyannote[1498].speaker SPEAKER_25
transcript.pyannote[1498].start 9356.88096875
transcript.pyannote[1498].end 9356.89784375
transcript.pyannote[1499].speaker SPEAKER_07
transcript.pyannote[1499].start 9360.22221875
transcript.pyannote[1499].end 9360.23909375
transcript.pyannote[1500].speaker SPEAKER_07
transcript.pyannote[1500].start 9360.25596875
transcript.pyannote[1500].end 9360.44159375
transcript.pyannote[1501].speaker SPEAKER_25
transcript.pyannote[1501].start 9360.44159375
transcript.pyannote[1501].end 9360.67784375
transcript.pyannote[1502].speaker SPEAKER_36
transcript.pyannote[1502].start 9360.44159375
transcript.pyannote[1502].end 9382.24409375
transcript.pyannote[1503].speaker SPEAKER_04
transcript.pyannote[1503].start 9382.24409375
transcript.pyannote[1503].end 9394.69784375
transcript.pyannote[1504].speaker SPEAKER_36
transcript.pyannote[1504].start 9382.53096875
transcript.pyannote[1504].end 9382.71659375
transcript.pyannote[1505].speaker SPEAKER_36
transcript.pyannote[1505].start 9384.48846875
transcript.pyannote[1505].end 9385.92284375
transcript.pyannote[1506].speaker SPEAKER_04
transcript.pyannote[1506].start 9394.98471875
transcript.pyannote[1506].end 9398.71409375
transcript.pyannote[1507].speaker SPEAKER_36
transcript.pyannote[1507].start 9396.25034375
transcript.pyannote[1507].end 9398.91659375
transcript.pyannote[1508].speaker SPEAKER_04
transcript.pyannote[1508].start 9398.91659375
transcript.pyannote[1508].end 9399.30471875
transcript.pyannote[1509].speaker SPEAKER_36
transcript.pyannote[1509].start 9399.30471875
transcript.pyannote[1509].end 9408.36659375
transcript.pyannote[1510].speaker SPEAKER_04
transcript.pyannote[1510].start 9402.42659375
transcript.pyannote[1510].end 9402.79784375
transcript.pyannote[1511].speaker SPEAKER_04
transcript.pyannote[1511].start 9408.26534375
transcript.pyannote[1511].end 9413.27721875
transcript.pyannote[1512].speaker SPEAKER_04
transcript.pyannote[1512].start 9413.81721875
transcript.pyannote[1512].end 9439.82159375
transcript.pyannote[1513].speaker SPEAKER_36
transcript.pyannote[1513].start 9436.12596875
transcript.pyannote[1513].end 9437.23971875
transcript.pyannote[1514].speaker SPEAKER_36
transcript.pyannote[1514].start 9439.06221875
transcript.pyannote[1514].end 9442.87596875
transcript.pyannote[1515].speaker SPEAKER_04
transcript.pyannote[1515].start 9440.22659375
transcript.pyannote[1515].end 9440.90159375
transcript.pyannote[1516].speaker SPEAKER_04
transcript.pyannote[1516].start 9441.49221875
transcript.pyannote[1516].end 9441.77909375
transcript.pyannote[1517].speaker SPEAKER_36
transcript.pyannote[1517].start 9443.06159375
transcript.pyannote[1517].end 9446.75721875
transcript.pyannote[1518].speaker SPEAKER_04
transcript.pyannote[1518].start 9445.54221875
transcript.pyannote[1518].end 9448.88346875
transcript.pyannote[1519].speaker SPEAKER_36
transcript.pyannote[1519].start 9448.88346875
transcript.pyannote[1519].end 9454.43534375
transcript.pyannote[1520].speaker SPEAKER_04
transcript.pyannote[1520].start 9451.83659375
transcript.pyannote[1520].end 9453.42284375
transcript.pyannote[1521].speaker SPEAKER_04
transcript.pyannote[1521].start 9454.65471875
transcript.pyannote[1521].end 9475.17471875
transcript.pyannote[1522].speaker SPEAKER_37
transcript.pyannote[1522].start 9464.76284375
transcript.pyannote[1522].end 9464.96534375
transcript.pyannote[1523].speaker SPEAKER_36
transcript.pyannote[1523].start 9474.28034375
transcript.pyannote[1523].end 9477.48659375
transcript.pyannote[1524].speaker SPEAKER_36
transcript.pyannote[1524].start 9478.02659375
transcript.pyannote[1524].end 9514.29096875
transcript.pyannote[1525].speaker SPEAKER_09
transcript.pyannote[1525].start 9485.01284375
transcript.pyannote[1525].end 9485.73846875
transcript.pyannote[1526].speaker SPEAKER_09
transcript.pyannote[1526].start 9487.29096875
transcript.pyannote[1526].end 9487.96596875
transcript.pyannote[1527].speaker SPEAKER_00
transcript.pyannote[1527].start 9487.96596875
transcript.pyannote[1527].end 9489.40034375
transcript.pyannote[1528].speaker SPEAKER_00
transcript.pyannote[1528].start 9491.94846875
transcript.pyannote[1528].end 9492.20159375
transcript.pyannote[1529].speaker SPEAKER_00
transcript.pyannote[1529].start 9502.05659375
transcript.pyannote[1529].end 9502.14096875
transcript.pyannote[1530].speaker SPEAKER_25
transcript.pyannote[1530].start 9502.14096875
transcript.pyannote[1530].end 9502.15784375
transcript.pyannote[1531].speaker SPEAKER_00
transcript.pyannote[1531].start 9502.15784375
transcript.pyannote[1531].end 9502.34346875
transcript.pyannote[1532].speaker SPEAKER_36
transcript.pyannote[1532].start 9514.54409375
transcript.pyannote[1532].end 9515.37096875
transcript.pyannote[1533].speaker SPEAKER_36
transcript.pyannote[1533].start 9515.91096875
transcript.pyannote[1533].end 9532.19534375
transcript.pyannote[1534].speaker SPEAKER_36
transcript.pyannote[1534].start 9532.39784375
transcript.pyannote[1534].end 9548.36159375
transcript.pyannote[1535].speaker SPEAKER_36
transcript.pyannote[1535].start 9548.91846875
transcript.pyannote[1535].end 9554.57159375
transcript.pyannote[1536].speaker SPEAKER_36
transcript.pyannote[1536].start 9554.87534375
transcript.pyannote[1536].end 9556.44471875
transcript.pyannote[1537].speaker SPEAKER_36
transcript.pyannote[1537].start 9556.69784375
transcript.pyannote[1537].end 9557.79471875
transcript.pyannote[1538].speaker SPEAKER_36
transcript.pyannote[1538].start 9558.95909375
transcript.pyannote[1538].end 9563.51534375
transcript.pyannote[1539].speaker SPEAKER_36
transcript.pyannote[1539].start 9564.12284375
transcript.pyannote[1539].end 9565.03409375
transcript.pyannote[1540].speaker SPEAKER_04
transcript.pyannote[1540].start 9565.27034375
transcript.pyannote[1540].end 9573.80909375
transcript.pyannote[1541].speaker SPEAKER_36
transcript.pyannote[1541].start 9570.14721875
transcript.pyannote[1541].end 9570.58596875
transcript.pyannote[1542].speaker SPEAKER_36
transcript.pyannote[1542].start 9571.85159375
transcript.pyannote[1542].end 9571.96971875
transcript.pyannote[1543].speaker SPEAKER_03
transcript.pyannote[1543].start 9571.96971875
transcript.pyannote[1543].end 9572.27346875
transcript.pyannote[1544].speaker SPEAKER_04
transcript.pyannote[1544].start 9573.97784375
transcript.pyannote[1544].end 9574.83846875
transcript.pyannote[1545].speaker SPEAKER_03
transcript.pyannote[1545].start 9575.10846875
transcript.pyannote[1545].end 9600.50534375
transcript.pyannote[1546].speaker SPEAKER_04
transcript.pyannote[1546].start 9581.55471875
transcript.pyannote[1546].end 9581.97659375
transcript.pyannote[1547].speaker SPEAKER_36
transcript.pyannote[1547].start 9596.47221875
transcript.pyannote[1547].end 9596.64096875
transcript.pyannote[1548].speaker SPEAKER_36
transcript.pyannote[1548].start 9600.08346875
transcript.pyannote[1548].end 9606.42846875
transcript.pyannote[1549].speaker SPEAKER_03
transcript.pyannote[1549].start 9606.52971875
transcript.pyannote[1549].end 9606.54659375
transcript.pyannote[1550].speaker SPEAKER_25
transcript.pyannote[1550].start 9606.54659375
transcript.pyannote[1550].end 9606.96846875
transcript.pyannote[1551].speaker SPEAKER_36
transcript.pyannote[1551].start 9606.95159375
transcript.pyannote[1551].end 9609.46596875
transcript.pyannote[1552].speaker SPEAKER_36
transcript.pyannote[1552].start 9609.75284375
transcript.pyannote[1552].end 9612.25034375
transcript.pyannote[1553].speaker SPEAKER_36
transcript.pyannote[1553].start 9612.53721875
transcript.pyannote[1553].end 9639.21659375
transcript.pyannote[1554].speaker SPEAKER_03
transcript.pyannote[1554].start 9639.21659375
transcript.pyannote[1554].end 9652.02471875
transcript.pyannote[1555].speaker SPEAKER_36
transcript.pyannote[1555].start 9639.30096875
transcript.pyannote[1555].end 9639.75659375
transcript.pyannote[1556].speaker SPEAKER_00
transcript.pyannote[1556].start 9645.02159375
transcript.pyannote[1556].end 9645.59534375
transcript.pyannote[1557].speaker SPEAKER_36
transcript.pyannote[1557].start 9652.02471875
transcript.pyannote[1557].end 9656.39534375
transcript.pyannote[1558].speaker SPEAKER_04
transcript.pyannote[1558].start 9656.39534375
transcript.pyannote[1558].end 9657.12096875
transcript.pyannote[1559].speaker SPEAKER_36
transcript.pyannote[1559].start 9657.66096875
transcript.pyannote[1559].end 9658.62284375
transcript.pyannote[1560].speaker SPEAKER_36
transcript.pyannote[1560].start 9662.67284375
transcript.pyannote[1560].end 9671.95409375
transcript.pyannote[1561].speaker SPEAKER_36
transcript.pyannote[1561].start 9672.13971875
transcript.pyannote[1561].end 9689.50409375
transcript.pyannote[1562].speaker SPEAKER_36
transcript.pyannote[1562].start 9690.06096875
transcript.pyannote[1562].end 9693.23346875
transcript.pyannote[1563].speaker SPEAKER_18
transcript.pyannote[1563].start 9694.34721875
transcript.pyannote[1563].end 9694.93784375
transcript.pyannote[1564].speaker SPEAKER_18
transcript.pyannote[1564].start 9695.68034375
transcript.pyannote[1564].end 9698.29596875
transcript.pyannote[1565].speaker SPEAKER_18
transcript.pyannote[1565].start 9698.56596875
transcript.pyannote[1565].end 9700.00034375
transcript.pyannote[1566].speaker SPEAKER_18
transcript.pyannote[1566].start 9700.59096875
transcript.pyannote[1566].end 9702.26159375
transcript.pyannote[1567].speaker SPEAKER_18
transcript.pyannote[1567].start 9702.54846875
transcript.pyannote[1567].end 9703.72971875
transcript.pyannote[1568].speaker SPEAKER_36
transcript.pyannote[1568].start 9703.05471875
transcript.pyannote[1568].end 9703.67909375
transcript.pyannote[1569].speaker SPEAKER_18
transcript.pyannote[1569].start 9703.86471875
transcript.pyannote[1569].end 9706.85159375
transcript.pyannote[1570].speaker SPEAKER_18
transcript.pyannote[1570].start 9707.93159375
transcript.pyannote[1570].end 9718.56284375
transcript.pyannote[1571].speaker SPEAKER_36
transcript.pyannote[1571].start 9711.55971875
transcript.pyannote[1571].end 9714.90096875
transcript.pyannote[1572].speaker SPEAKER_18
transcript.pyannote[1572].start 9718.71471875
transcript.pyannote[1572].end 9725.51534375
transcript.pyannote[1573].speaker SPEAKER_36
transcript.pyannote[1573].start 9722.19096875
transcript.pyannote[1573].end 9722.54534375
transcript.pyannote[1574].speaker SPEAKER_36
transcript.pyannote[1574].start 9725.51534375
transcript.pyannote[1574].end 9740.24721875
transcript.pyannote[1575].speaker SPEAKER_18
transcript.pyannote[1575].start 9725.53221875
transcript.pyannote[1575].end 9726.66284375
transcript.pyannote[1576].speaker SPEAKER_09
transcript.pyannote[1576].start 9740.24721875
transcript.pyannote[1576].end 9740.50034375
transcript.pyannote[1577].speaker SPEAKER_36
transcript.pyannote[1577].start 9740.50034375
transcript.pyannote[1577].end 9761.79659375
transcript.pyannote[1578].speaker SPEAKER_09
transcript.pyannote[1578].start 9740.53409375
transcript.pyannote[1578].end 9740.58471875
transcript.pyannote[1579].speaker SPEAKER_25
transcript.pyannote[1579].start 9753.79784375
transcript.pyannote[1579].end 9754.20284375
transcript.pyannote[1580].speaker SPEAKER_25
transcript.pyannote[1580].start 9756.00846875
transcript.pyannote[1580].end 9757.03784375
transcript.pyannote[1581].speaker SPEAKER_18
transcript.pyannote[1581].start 9757.03784375
transcript.pyannote[1581].end 9757.27409375
transcript.pyannote[1582].speaker SPEAKER_25
transcript.pyannote[1582].start 9757.27409375
transcript.pyannote[1582].end 9757.83096875
transcript.pyannote[1583].speaker SPEAKER_36
transcript.pyannote[1583].start 9762.26909375
transcript.pyannote[1583].end 9762.55596875
transcript.pyannote[1584].speaker SPEAKER_18
transcript.pyannote[1584].start 9763.16346875
transcript.pyannote[1584].end 9778.11471875
transcript.pyannote[1585].speaker SPEAKER_36
transcript.pyannote[1585].start 9766.89284375
transcript.pyannote[1585].end 9767.33159375
transcript.pyannote[1586].speaker SPEAKER_00
transcript.pyannote[1586].start 9773.86221875
transcript.pyannote[1586].end 9774.28409375
transcript.pyannote[1587].speaker SPEAKER_18
transcript.pyannote[1587].start 9778.50284375
transcript.pyannote[1587].end 9779.05971875
transcript.pyannote[1588].speaker SPEAKER_18
transcript.pyannote[1588].start 9779.26221875
transcript.pyannote[1588].end 9788.77971875
transcript.pyannote[1589].speaker SPEAKER_36
transcript.pyannote[1589].start 9781.08471875
transcript.pyannote[1589].end 9781.59096875
transcript.pyannote[1590].speaker SPEAKER_36
transcript.pyannote[1590].start 9787.85159375
transcript.pyannote[1590].end 9800.96346875
transcript.pyannote[1591].speaker SPEAKER_18
transcript.pyannote[1591].start 9791.63159375
transcript.pyannote[1591].end 9795.14159375
transcript.pyannote[1592].speaker SPEAKER_04
transcript.pyannote[1592].start 9800.96346875
transcript.pyannote[1592].end 9801.80721875
transcript.pyannote[1593].speaker SPEAKER_36
transcript.pyannote[1593].start 9801.01409375
transcript.pyannote[1593].end 9806.39721875
transcript.pyannote[1594].speaker SPEAKER_07
transcript.pyannote[1594].start 9808.75971875
transcript.pyannote[1594].end 9809.53596875
transcript.pyannote[1595].speaker SPEAKER_07
transcript.pyannote[1595].start 9809.90721875
transcript.pyannote[1595].end 9813.19784375
transcript.pyannote[1596].speaker SPEAKER_34
transcript.pyannote[1596].start 9824.62221875
transcript.pyannote[1596].end 9829.90409375
transcript.pyannote[1597].speaker SPEAKER_07
transcript.pyannote[1597].start 9830.39346875
transcript.pyannote[1597].end 9831.15284375
transcript.pyannote[1598].speaker SPEAKER_34
transcript.pyannote[1598].start 9834.24096875
transcript.pyannote[1598].end 9834.98346875
transcript.pyannote[1599].speaker SPEAKER_34
transcript.pyannote[1599].start 9835.21971875
transcript.pyannote[1599].end 9836.95784375
transcript.pyannote[1600].speaker SPEAKER_34
transcript.pyannote[1600].start 9836.97471875
transcript.pyannote[1600].end 9849.61409375
transcript.pyannote[1601].speaker SPEAKER_34
transcript.pyannote[1601].start 9850.32284375
transcript.pyannote[1601].end 9858.42284375
transcript.pyannote[1602].speaker SPEAKER_34
transcript.pyannote[1602].start 9859.09784375
transcript.pyannote[1602].end 9859.65471875
transcript.pyannote[1603].speaker SPEAKER_34
transcript.pyannote[1603].start 9860.16096875
transcript.pyannote[1603].end 9863.06346875
transcript.pyannote[1604].speaker SPEAKER_34
transcript.pyannote[1604].start 9863.60346875
transcript.pyannote[1604].end 9866.05034375
transcript.pyannote[1605].speaker SPEAKER_34
transcript.pyannote[1605].start 9866.21909375
transcript.pyannote[1605].end 9868.19346875
transcript.pyannote[1606].speaker SPEAKER_34
transcript.pyannote[1606].start 9868.76721875
transcript.pyannote[1606].end 9870.15096875
transcript.pyannote[1607].speaker SPEAKER_34
transcript.pyannote[1607].start 9870.45471875
transcript.pyannote[1607].end 9871.60221875
transcript.pyannote[1608].speaker SPEAKER_34
transcript.pyannote[1608].start 9871.77096875
transcript.pyannote[1608].end 9898.43346875
transcript.pyannote[1609].speaker SPEAKER_34
transcript.pyannote[1609].start 9898.51784375
transcript.pyannote[1609].end 9923.69534375
transcript.pyannote[1610].speaker SPEAKER_18
transcript.pyannote[1610].start 9926.29409375
transcript.pyannote[1610].end 9929.23034375
transcript.pyannote[1611].speaker SPEAKER_18
transcript.pyannote[1611].start 9929.51721875
transcript.pyannote[1611].end 9932.33534375
transcript.pyannote[1612].speaker SPEAKER_18
transcript.pyannote[1612].start 9932.84159375
transcript.pyannote[1612].end 9934.56284375
transcript.pyannote[1613].speaker SPEAKER_18
transcript.pyannote[1613].start 9935.01846875
transcript.pyannote[1613].end 9935.57534375
transcript.pyannote[1614].speaker SPEAKER_18
transcript.pyannote[1614].start 9935.86221875
transcript.pyannote[1614].end 9938.14034375
transcript.pyannote[1615].speaker SPEAKER_18
transcript.pyannote[1615].start 9938.32596875
transcript.pyannote[1615].end 9938.64659375
transcript.pyannote[1616].speaker SPEAKER_18
transcript.pyannote[1616].start 9939.08534375
transcript.pyannote[1616].end 9940.35096875
transcript.pyannote[1617].speaker SPEAKER_18
transcript.pyannote[1617].start 9940.60409375
transcript.pyannote[1617].end 9942.30846875
transcript.pyannote[1618].speaker SPEAKER_18
transcript.pyannote[1618].start 9943.05096875
transcript.pyannote[1618].end 9952.21409375
transcript.pyannote[1619].speaker SPEAKER_34
transcript.pyannote[1619].start 9952.75409375
transcript.pyannote[1619].end 9960.60096875
transcript.pyannote[1620].speaker SPEAKER_32
transcript.pyannote[1620].start 9960.60096875
transcript.pyannote[1620].end 9960.98909375
transcript.pyannote[1621].speaker SPEAKER_34
transcript.pyannote[1621].start 9960.98909375
transcript.pyannote[1621].end 9961.00596875
transcript.pyannote[1622].speaker SPEAKER_34
transcript.pyannote[1622].start 9961.17471875
transcript.pyannote[1622].end 9966.82784375
transcript.pyannote[1623].speaker SPEAKER_04
transcript.pyannote[1623].start 9965.49471875
transcript.pyannote[1623].end 9965.89971875
transcript.pyannote[1624].speaker SPEAKER_04
transcript.pyannote[1624].start 9966.89534375
transcript.pyannote[1624].end 9975.40034375
transcript.pyannote[1625].speaker SPEAKER_04
transcript.pyannote[1625].start 9975.46784375
transcript.pyannote[1625].end 9978.94409375
transcript.pyannote[1626].speaker SPEAKER_04
transcript.pyannote[1626].start 9979.28159375
transcript.pyannote[1626].end 9984.09096875
transcript.pyannote[1627].speaker SPEAKER_34
transcript.pyannote[1627].start 9983.55096875
transcript.pyannote[1627].end 9983.98971875
transcript.pyannote[1628].speaker SPEAKER_34
transcript.pyannote[1628].start 9984.09096875
transcript.pyannote[1628].end 9998.70471875
transcript.pyannote[1629].speaker SPEAKER_04
transcript.pyannote[1629].start 9984.10784375
transcript.pyannote[1629].end 9984.15846875
transcript.pyannote[1630].speaker SPEAKER_04
transcript.pyannote[1630].start 9984.39471875
transcript.pyannote[1630].end 9984.46221875
transcript.pyannote[1631].speaker SPEAKER_34
transcript.pyannote[1631].start 9998.97471875
transcript.pyannote[1631].end 10026.54846875
transcript.pyannote[1632].speaker SPEAKER_34
transcript.pyannote[1632].start 10026.64971875
transcript.pyannote[1632].end 10032.70784375
transcript.pyannote[1633].speaker SPEAKER_04
transcript.pyannote[1633].start 10033.34909375
transcript.pyannote[1633].end 10035.03659375
transcript.pyannote[1634].speaker SPEAKER_04
transcript.pyannote[1634].start 10035.42471875
transcript.pyannote[1634].end 10039.40721875
transcript.pyannote[1635].speaker SPEAKER_04
transcript.pyannote[1635].start 10039.79534375
transcript.pyannote[1635].end 10043.28846875
transcript.pyannote[1636].speaker SPEAKER_04
transcript.pyannote[1636].start 10043.47409375
transcript.pyannote[1636].end 10043.79471875
transcript.pyannote[1637].speaker SPEAKER_25
transcript.pyannote[1637].start 10043.60909375
transcript.pyannote[1637].end 10043.65971875
transcript.pyannote[1638].speaker SPEAKER_25
transcript.pyannote[1638].start 10043.79471875
transcript.pyannote[1638].end 10043.84534375
transcript.pyannote[1639].speaker SPEAKER_04
transcript.pyannote[1639].start 10043.84534375
transcript.pyannote[1639].end 10046.25846875
transcript.pyannote[1640].speaker SPEAKER_25
transcript.pyannote[1640].start 10043.89596875
transcript.pyannote[1640].end 10043.94659375
transcript.pyannote[1641].speaker SPEAKER_04
transcript.pyannote[1641].start 10046.42721875
transcript.pyannote[1641].end 10049.73471875
transcript.pyannote[1642].speaker SPEAKER_34
transcript.pyannote[1642].start 10049.63346875
transcript.pyannote[1642].end 10050.46034375
transcript.pyannote[1643].speaker SPEAKER_34
transcript.pyannote[1643].start 10050.98346875
transcript.pyannote[1643].end 10053.86909375
transcript.pyannote[1644].speaker SPEAKER_04
transcript.pyannote[1644].start 10052.53596875
transcript.pyannote[1644].end 10052.90721875
transcript.pyannote[1645].speaker SPEAKER_04
transcript.pyannote[1645].start 10053.64971875
transcript.pyannote[1645].end 10055.91096875
transcript.pyannote[1646].speaker SPEAKER_04
transcript.pyannote[1646].start 10056.55221875
transcript.pyannote[1646].end 10058.49284375
transcript.pyannote[1647].speaker SPEAKER_04
transcript.pyannote[1647].start 10058.54346875
transcript.pyannote[1647].end 10066.32284375
transcript.pyannote[1648].speaker SPEAKER_34
transcript.pyannote[1648].start 10060.60221875
transcript.pyannote[1648].end 10061.12534375
transcript.pyannote[1649].speaker SPEAKER_34
transcript.pyannote[1649].start 10066.32284375
transcript.pyannote[1649].end 10083.41721875
transcript.pyannote[1650].speaker SPEAKER_04
transcript.pyannote[1650].start 10067.33534375
transcript.pyannote[1650].end 10068.09471875
transcript.pyannote[1651].speaker SPEAKER_34
transcript.pyannote[1651].start 10084.64909375
transcript.pyannote[1651].end 10090.04909375
transcript.pyannote[1652].speaker SPEAKER_34
transcript.pyannote[1652].start 10090.15034375
transcript.pyannote[1652].end 10111.61534375
transcript.pyannote[1653].speaker SPEAKER_34
transcript.pyannote[1653].start 10112.42534375
transcript.pyannote[1653].end 10117.01534375
transcript.pyannote[1654].speaker SPEAKER_34
transcript.pyannote[1654].start 10118.07846875
transcript.pyannote[1654].end 10122.87096875
transcript.pyannote[1655].speaker SPEAKER_34
transcript.pyannote[1655].start 10123.32659375
transcript.pyannote[1655].end 10126.87034375
transcript.pyannote[1656].speaker SPEAKER_34
transcript.pyannote[1656].start 10127.54534375
transcript.pyannote[1656].end 10136.33721875
transcript.pyannote[1657].speaker SPEAKER_34
transcript.pyannote[1657].start 10136.60721875
transcript.pyannote[1657].end 10152.65534375
transcript.pyannote[1658].speaker SPEAKER_34
transcript.pyannote[1658].start 10153.16159375
transcript.pyannote[1658].end 10156.50284375
transcript.pyannote[1659].speaker SPEAKER_18
transcript.pyannote[1659].start 10154.32596875
transcript.pyannote[1659].end 10154.73096875
transcript.pyannote[1660].speaker SPEAKER_18
transcript.pyannote[1660].start 10155.59159375
transcript.pyannote[1660].end 10160.19846875
transcript.pyannote[1661].speaker SPEAKER_18
transcript.pyannote[1661].start 10160.55284375
transcript.pyannote[1661].end 10164.48471875
transcript.pyannote[1662].speaker SPEAKER_18
transcript.pyannote[1662].start 10164.51846875
transcript.pyannote[1662].end 10174.59284375
transcript.pyannote[1663].speaker SPEAKER_18
transcript.pyannote[1663].start 10175.11596875
transcript.pyannote[1663].end 10177.41096875
transcript.pyannote[1664].speaker SPEAKER_18
transcript.pyannote[1664].start 10177.61346875
transcript.pyannote[1664].end 10178.59221875
transcript.pyannote[1665].speaker SPEAKER_18
transcript.pyannote[1665].start 10178.72721875
transcript.pyannote[1665].end 10187.16471875
transcript.pyannote[1666].speaker SPEAKER_34
transcript.pyannote[1666].start 10184.63346875
transcript.pyannote[1666].end 10184.93721875
transcript.pyannote[1667].speaker SPEAKER_34
transcript.pyannote[1667].start 10186.28721875
transcript.pyannote[1667].end 10190.16846875
transcript.pyannote[1668].speaker SPEAKER_18
transcript.pyannote[1668].start 10189.05471875
transcript.pyannote[1668].end 10192.29471875
transcript.pyannote[1669].speaker SPEAKER_34
transcript.pyannote[1669].start 10191.41721875
transcript.pyannote[1669].end 10191.53534375
transcript.pyannote[1670].speaker SPEAKER_34
transcript.pyannote[1670].start 10192.37909375
transcript.pyannote[1670].end 10196.96909375
transcript.pyannote[1671].speaker SPEAKER_18
transcript.pyannote[1671].start 10194.04971875
transcript.pyannote[1671].end 10194.43784375
transcript.pyannote[1672].speaker SPEAKER_18
transcript.pyannote[1672].start 10196.96909375
transcript.pyannote[1672].end 10204.30971875
transcript.pyannote[1673].speaker SPEAKER_34
transcript.pyannote[1673].start 10200.09096875
transcript.pyannote[1673].end 10201.74471875
transcript.pyannote[1674].speaker SPEAKER_34
transcript.pyannote[1674].start 10202.50409375
transcript.pyannote[1674].end 10202.87534375
transcript.pyannote[1675].speaker SPEAKER_18
transcript.pyannote[1675].start 10205.18721875
transcript.pyannote[1675].end 10212.32534375
transcript.pyannote[1676].speaker SPEAKER_27
transcript.pyannote[1676].start 10206.75659375
transcript.pyannote[1676].end 10207.24596875
transcript.pyannote[1677].speaker SPEAKER_25
transcript.pyannote[1677].start 10211.93721875
transcript.pyannote[1677].end 10212.49409375
transcript.pyannote[1678].speaker SPEAKER_18
transcript.pyannote[1678].start 10212.49409375
transcript.pyannote[1678].end 10212.51096875
transcript.pyannote[1679].speaker SPEAKER_18
transcript.pyannote[1679].start 10212.52784375
transcript.pyannote[1679].end 10215.10971875
transcript.pyannote[1680].speaker SPEAKER_18
transcript.pyannote[1680].start 10215.48096875
transcript.pyannote[1680].end 10220.91471875
transcript.pyannote[1681].speaker SPEAKER_25
transcript.pyannote[1681].start 10218.02909375
transcript.pyannote[1681].end 10218.40034375
transcript.pyannote[1682].speaker SPEAKER_18
transcript.pyannote[1682].start 10221.70784375
transcript.pyannote[1682].end 10228.28909375
transcript.pyannote[1683].speaker SPEAKER_18
transcript.pyannote[1683].start 10228.67721875
transcript.pyannote[1683].end 10238.76846875
transcript.pyannote[1684].speaker SPEAKER_00
transcript.pyannote[1684].start 10229.65596875
transcript.pyannote[1684].end 10229.68971875
transcript.pyannote[1685].speaker SPEAKER_25
transcript.pyannote[1685].start 10229.68971875
transcript.pyannote[1685].end 10229.97659375
transcript.pyannote[1686].speaker SPEAKER_00
transcript.pyannote[1686].start 10229.97659375
transcript.pyannote[1686].end 10230.02721875
transcript.pyannote[1687].speaker SPEAKER_34
transcript.pyannote[1687].start 10230.02721875
transcript.pyannote[1687].end 10230.58409375
transcript.pyannote[1688].speaker SPEAKER_00
transcript.pyannote[1688].start 10232.49096875
transcript.pyannote[1688].end 10232.54159375
transcript.pyannote[1689].speaker SPEAKER_34
transcript.pyannote[1689].start 10232.54159375
transcript.pyannote[1689].end 10232.91284375
transcript.pyannote[1690].speaker SPEAKER_34
transcript.pyannote[1690].start 10234.63409375
transcript.pyannote[1690].end 10235.15721875
transcript.pyannote[1691].speaker SPEAKER_34
transcript.pyannote[1691].start 10238.04284375
transcript.pyannote[1691].end 10238.38034375
transcript.pyannote[1692].speaker SPEAKER_34
transcript.pyannote[1692].start 10238.76846875
transcript.pyannote[1692].end 10252.33596875
transcript.pyannote[1693].speaker SPEAKER_25
transcript.pyannote[1693].start 10244.28659375
transcript.pyannote[1693].end 10245.34971875
transcript.pyannote[1694].speaker SPEAKER_25
transcript.pyannote[1694].start 10250.85096875
transcript.pyannote[1694].end 10251.34034375
transcript.pyannote[1695].speaker SPEAKER_25
transcript.pyannote[1695].start 10252.03221875
transcript.pyannote[1695].end 10252.42034375
transcript.pyannote[1696].speaker SPEAKER_34
transcript.pyannote[1696].start 10252.40346875
transcript.pyannote[1696].end 10258.22534375
transcript.pyannote[1697].speaker SPEAKER_18
transcript.pyannote[1697].start 10255.50846875
transcript.pyannote[1697].end 10267.72596875
transcript.pyannote[1698].speaker SPEAKER_34
transcript.pyannote[1698].start 10258.96784375
transcript.pyannote[1698].end 10259.74409375
transcript.pyannote[1699].speaker SPEAKER_34
transcript.pyannote[1699].start 10261.17846875
transcript.pyannote[1699].end 10261.51596875
transcript.pyannote[1700].speaker SPEAKER_34
transcript.pyannote[1700].start 10267.59096875
transcript.pyannote[1700].end 10276.24784375
transcript.pyannote[1701].speaker SPEAKER_18
transcript.pyannote[1701].start 10275.58971875
transcript.pyannote[1701].end 10284.19596875
transcript.pyannote[1702].speaker SPEAKER_34
transcript.pyannote[1702].start 10278.52596875
transcript.pyannote[1702].end 10278.91409375
transcript.pyannote[1703].speaker SPEAKER_18
transcript.pyannote[1703].start 10284.49971875
transcript.pyannote[1703].end 10287.48659375
transcript.pyannote[1704].speaker SPEAKER_18
transcript.pyannote[1704].start 10287.67221875
transcript.pyannote[1704].end 10288.53284375
transcript.pyannote[1705].speaker SPEAKER_25
transcript.pyannote[1705].start 10288.75221875
transcript.pyannote[1705].end 10289.10659375
transcript.pyannote[1706].speaker SPEAKER_18
transcript.pyannote[1706].start 10289.05596875
transcript.pyannote[1706].end 10294.72596875
transcript.pyannote[1707].speaker SPEAKER_34
transcript.pyannote[1707].start 10293.88221875
transcript.pyannote[1707].end 10297.54409375
transcript.pyannote[1708].speaker SPEAKER_18
transcript.pyannote[1708].start 10297.24034375
transcript.pyannote[1708].end 10297.96596875
transcript.pyannote[1709].speaker SPEAKER_34
transcript.pyannote[1709].start 10297.91534375
transcript.pyannote[1709].end 10309.33971875
transcript.pyannote[1710].speaker SPEAKER_25
transcript.pyannote[1710].start 10297.96596875
transcript.pyannote[1710].end 10298.06721875
transcript.pyannote[1711].speaker SPEAKER_18
transcript.pyannote[1711].start 10298.06721875
transcript.pyannote[1711].end 10298.33721875
transcript.pyannote[1712].speaker SPEAKER_34
transcript.pyannote[1712].start 10309.66034375
transcript.pyannote[1712].end 10318.90784375
transcript.pyannote[1713].speaker SPEAKER_34
transcript.pyannote[1713].start 10319.19471875
transcript.pyannote[1713].end 10323.85221875
transcript.pyannote[1714].speaker SPEAKER_34
transcript.pyannote[1714].start 10324.24034375
transcript.pyannote[1714].end 10345.78971875
transcript.pyannote[1715].speaker SPEAKER_18
transcript.pyannote[1715].start 10340.22096875
transcript.pyannote[1715].end 10340.25471875
transcript.pyannote[1716].speaker SPEAKER_28
transcript.pyannote[1716].start 10340.25471875
transcript.pyannote[1716].end 10340.33909375
transcript.pyannote[1717].speaker SPEAKER_18
transcript.pyannote[1717].start 10340.33909375
transcript.pyannote[1717].end 10340.64284375
transcript.pyannote[1718].speaker SPEAKER_18
transcript.pyannote[1718].start 10342.98846875
transcript.pyannote[1718].end 10344.13596875
transcript.pyannote[1719].speaker SPEAKER_18
transcript.pyannote[1719].start 10345.51971875
transcript.pyannote[1719].end 10347.81471875
transcript.pyannote[1720].speaker SPEAKER_18
transcript.pyannote[1720].start 10348.01721875
transcript.pyannote[1720].end 10356.69096875
transcript.pyannote[1721].speaker SPEAKER_34
transcript.pyannote[1721].start 10350.95346875
transcript.pyannote[1721].end 10351.13909375
transcript.pyannote[1722].speaker SPEAKER_34
transcript.pyannote[1722].start 10352.69159375
transcript.pyannote[1722].end 10353.18096875
transcript.pyannote[1723].speaker SPEAKER_18
transcript.pyannote[1723].start 10356.77534375
transcript.pyannote[1723].end 10357.87221875
transcript.pyannote[1724].speaker SPEAKER_34
transcript.pyannote[1724].start 10357.87221875
transcript.pyannote[1724].end 10378.94909375
transcript.pyannote[1725].speaker SPEAKER_18
transcript.pyannote[1725].start 10357.88909375
transcript.pyannote[1725].end 10357.95659375
transcript.pyannote[1726].speaker SPEAKER_34
transcript.pyannote[1726].start 10378.96596875
transcript.pyannote[1726].end 10384.82159375
transcript.pyannote[1727].speaker SPEAKER_34
transcript.pyannote[1727].start 10385.41221875
transcript.pyannote[1727].end 10390.87971875
transcript.pyannote[1728].speaker SPEAKER_34
transcript.pyannote[1728].start 10391.41971875
transcript.pyannote[1728].end 10397.68034375
transcript.pyannote[1729].speaker SPEAKER_34
transcript.pyannote[1729].start 10397.83221875
transcript.pyannote[1729].end 10402.62471875
transcript.pyannote[1730].speaker SPEAKER_34
transcript.pyannote[1730].start 10403.11409375
transcript.pyannote[1730].end 10407.48471875
transcript.pyannote[1731].speaker SPEAKER_34
transcript.pyannote[1731].start 10407.50159375
transcript.pyannote[1731].end 10407.61971875
transcript.pyannote[1732].speaker SPEAKER_34
transcript.pyannote[1732].start 10408.19346875
transcript.pyannote[1732].end 10410.96096875
transcript.pyannote[1733].speaker SPEAKER_18
transcript.pyannote[1733].start 10412.15909375
transcript.pyannote[1733].end 10420.25909375
transcript.pyannote[1734].speaker SPEAKER_18
transcript.pyannote[1734].start 10420.49534375
transcript.pyannote[1734].end 10422.16596875
transcript.pyannote[1735].speaker SPEAKER_18
transcript.pyannote[1735].start 10422.48659375
transcript.pyannote[1735].end 10423.76909375
transcript.pyannote[1736].speaker SPEAKER_08
transcript.pyannote[1736].start 10422.50346875
transcript.pyannote[1736].end 10422.90846875
transcript.pyannote[1737].speaker SPEAKER_25
transcript.pyannote[1737].start 10422.90846875
transcript.pyannote[1737].end 10422.94221875
transcript.pyannote[1738].speaker SPEAKER_18
transcript.pyannote[1738].start 10424.34284375
transcript.pyannote[1738].end 10436.66159375
transcript.pyannote[1739].speaker SPEAKER_00
transcript.pyannote[1739].start 10427.86971875
transcript.pyannote[1739].end 10427.90346875
transcript.pyannote[1740].speaker SPEAKER_25
transcript.pyannote[1740].start 10427.90346875
transcript.pyannote[1740].end 10428.37596875
transcript.pyannote[1741].speaker SPEAKER_18
transcript.pyannote[1741].start 10436.67846875
transcript.pyannote[1741].end 10436.69534375
transcript.pyannote[1742].speaker SPEAKER_34
transcript.pyannote[1742].start 10436.69534375
transcript.pyannote[1742].end 10437.53909375
transcript.pyannote[1743].speaker SPEAKER_18
transcript.pyannote[1743].start 10437.04971875
transcript.pyannote[1743].end 10438.90596875
transcript.pyannote[1744].speaker SPEAKER_34
transcript.pyannote[1744].start 10438.90596875
transcript.pyannote[1744].end 10442.55096875
transcript.pyannote[1745].speaker SPEAKER_18
transcript.pyannote[1745].start 10439.59784375
transcript.pyannote[1745].end 10439.63159375
transcript.pyannote[1746].speaker SPEAKER_34
transcript.pyannote[1746].start 10443.00659375
transcript.pyannote[1746].end 10443.19221875
transcript.pyannote[1747].speaker SPEAKER_18
transcript.pyannote[1747].start 10443.64784375
transcript.pyannote[1747].end 10444.32284375
transcript.pyannote[1748].speaker SPEAKER_34
transcript.pyannote[1748].start 10444.33971875
transcript.pyannote[1748].end 10445.40284375
transcript.pyannote[1749].speaker SPEAKER_18
transcript.pyannote[1749].start 10445.11596875
transcript.pyannote[1749].end 10446.19596875
transcript.pyannote[1750].speaker SPEAKER_34
transcript.pyannote[1750].start 10446.36471875
transcript.pyannote[1750].end 10449.23346875
transcript.pyannote[1751].speaker SPEAKER_34
transcript.pyannote[1751].start 10449.63846875
transcript.pyannote[1751].end 10460.67471875
transcript.pyannote[1752].speaker SPEAKER_18
transcript.pyannote[1752].start 10456.03409375
transcript.pyannote[1752].end 10467.25596875
transcript.pyannote[1753].speaker SPEAKER_18
transcript.pyannote[1753].start 10467.71159375
transcript.pyannote[1753].end 10468.70721875
transcript.pyannote[1754].speaker SPEAKER_18
transcript.pyannote[1754].start 10468.75784375
transcript.pyannote[1754].end 10473.39846875
transcript.pyannote[1755].speaker SPEAKER_25
transcript.pyannote[1755].start 10468.90971875
transcript.pyannote[1755].end 10469.04471875
transcript.pyannote[1756].speaker SPEAKER_37
transcript.pyannote[1756].start 10473.61784375
transcript.pyannote[1756].end 10473.68534375
transcript.pyannote[1757].speaker SPEAKER_18
transcript.pyannote[1757].start 10473.68534375
transcript.pyannote[1757].end 10477.98846875
transcript.pyannote[1758].speaker SPEAKER_37
transcript.pyannote[1758].start 10473.70221875
transcript.pyannote[1758].end 10474.03971875
transcript.pyannote[1759].speaker SPEAKER_18
transcript.pyannote[1759].start 10478.08971875
transcript.pyannote[1759].end 10485.63284375
transcript.pyannote[1760].speaker SPEAKER_18
transcript.pyannote[1760].start 10486.07159375
transcript.pyannote[1760].end 10488.11346875
transcript.pyannote[1761].speaker SPEAKER_18
transcript.pyannote[1761].start 10488.29909375
transcript.pyannote[1761].end 10491.48846875
transcript.pyannote[1762].speaker SPEAKER_18
transcript.pyannote[1762].start 10492.01159375
transcript.pyannote[1762].end 10496.97284375
transcript.pyannote[1763].speaker SPEAKER_18
transcript.pyannote[1763].start 10497.17534375
transcript.pyannote[1763].end 10498.71096875
transcript.pyannote[1764].speaker SPEAKER_18
transcript.pyannote[1764].start 10498.82909375
transcript.pyannote[1764].end 10499.52096875
transcript.pyannote[1765].speaker SPEAKER_18
transcript.pyannote[1765].start 10499.75721875
transcript.pyannote[1765].end 10501.32659375
transcript.pyannote[1766].speaker SPEAKER_18
transcript.pyannote[1766].start 10501.81596875
transcript.pyannote[1766].end 10507.08096875
transcript.pyannote[1767].speaker SPEAKER_34
transcript.pyannote[1767].start 10507.08096875
transcript.pyannote[1767].end 10507.13159375
transcript.pyannote[1768].speaker SPEAKER_18
transcript.pyannote[1768].start 10507.13159375
transcript.pyannote[1768].end 10512.02534375
transcript.pyannote[1769].speaker SPEAKER_34
transcript.pyannote[1769].start 10507.18221875
transcript.pyannote[1769].end 10507.35096875
transcript.pyannote[1770].speaker SPEAKER_34
transcript.pyannote[1770].start 10512.12659375
transcript.pyannote[1770].end 10515.78846875
transcript.pyannote[1771].speaker SPEAKER_18
transcript.pyannote[1771].start 10514.32034375
transcript.pyannote[1771].end 10520.10846875
transcript.pyannote[1772].speaker SPEAKER_34
transcript.pyannote[1772].start 10516.75034375
transcript.pyannote[1772].end 10517.17221875
transcript.pyannote[1773].speaker SPEAKER_18
transcript.pyannote[1773].start 10520.80034375
transcript.pyannote[1773].end 10523.51721875
transcript.pyannote[1774].speaker SPEAKER_18
transcript.pyannote[1774].start 10524.00659375
transcript.pyannote[1774].end 10543.63221875
transcript.pyannote[1775].speaker SPEAKER_25
transcript.pyannote[1775].start 10538.36721875
transcript.pyannote[1775].end 10539.34596875
transcript.pyannote[1776].speaker SPEAKER_00
transcript.pyannote[1776].start 10539.34596875
transcript.pyannote[1776].end 10539.44721875
transcript.pyannote[1777].speaker SPEAKER_18
transcript.pyannote[1777].start 10544.03721875
transcript.pyannote[1777].end 10544.45909375
transcript.pyannote[1778].speaker SPEAKER_18
transcript.pyannote[1778].start 10544.67846875
transcript.pyannote[1778].end 10550.50034375
transcript.pyannote[1779].speaker SPEAKER_18
transcript.pyannote[1779].start 10550.70284375
transcript.pyannote[1779].end 10551.59721875
transcript.pyannote[1780].speaker SPEAKER_34
transcript.pyannote[1780].start 10552.17096875
transcript.pyannote[1780].end 10552.50846875
transcript.pyannote[1781].speaker SPEAKER_34
transcript.pyannote[1781].start 10552.64346875
transcript.pyannote[1781].end 10552.96409375
transcript.pyannote[1782].speaker SPEAKER_34
transcript.pyannote[1782].start 10553.03159375
transcript.pyannote[1782].end 10560.97971875
transcript.pyannote[1783].speaker SPEAKER_18
transcript.pyannote[1783].start 10560.33846875
transcript.pyannote[1783].end 10577.93909375
transcript.pyannote[1784].speaker SPEAKER_18
transcript.pyannote[1784].start 10578.44534375
transcript.pyannote[1784].end 10582.63034375
transcript.pyannote[1785].speaker SPEAKER_18
transcript.pyannote[1785].start 10582.93409375
transcript.pyannote[1785].end 10597.27784375
transcript.pyannote[1786].speaker SPEAKER_34
transcript.pyannote[1786].start 10596.21471875
transcript.pyannote[1786].end 10596.60284375
transcript.pyannote[1787].speaker SPEAKER_34
transcript.pyannote[1787].start 10597.27784375
transcript.pyannote[1787].end 10604.16284375
transcript.pyannote[1788].speaker SPEAKER_34
transcript.pyannote[1788].start 10604.29784375
transcript.pyannote[1788].end 10643.63346875
transcript.pyannote[1789].speaker SPEAKER_25
transcript.pyannote[1789].start 10641.13596875
transcript.pyannote[1789].end 10641.62534375
transcript.pyannote[1790].speaker SPEAKER_25
transcript.pyannote[1790].start 10642.48596875
transcript.pyannote[1790].end 10644.34221875
transcript.pyannote[1791].speaker SPEAKER_18
transcript.pyannote[1791].start 10644.34221875
transcript.pyannote[1791].end 10645.03409375
transcript.pyannote[1792].speaker SPEAKER_34
transcript.pyannote[1792].start 10645.03409375
transcript.pyannote[1792].end 10648.96596875
transcript.pyannote[1793].speaker SPEAKER_18
transcript.pyannote[1793].start 10645.05096875
transcript.pyannote[1793].end 10645.10159375
transcript.pyannote[1794].speaker SPEAKER_25
transcript.pyannote[1794].start 10645.10159375
transcript.pyannote[1794].end 10645.45596875
transcript.pyannote[1795].speaker SPEAKER_18
transcript.pyannote[1795].start 10645.45596875
transcript.pyannote[1795].end 10646.02971875
transcript.pyannote[1796].speaker SPEAKER_07
transcript.pyannote[1796].start 10646.02971875
transcript.pyannote[1796].end 10646.24909375
transcript.pyannote[1797].speaker SPEAKER_07
transcript.pyannote[1797].start 10646.92409375
transcript.pyannote[1797].end 10649.06721875
transcript.pyannote[1798].speaker SPEAKER_18
transcript.pyannote[1798].start 10648.96596875
transcript.pyannote[1798].end 10649.37096875
transcript.pyannote[1799].speaker SPEAKER_07
transcript.pyannote[1799].start 10650.38346875
transcript.pyannote[1799].end 10651.15971875
transcript.pyannote[1800].speaker SPEAKER_07
transcript.pyannote[1800].start 10652.62784375
transcript.pyannote[1800].end 10655.96909375
transcript.pyannote[1801].speaker SPEAKER_08
transcript.pyannote[1801].start 10663.52909375
transcript.pyannote[1801].end 10666.02659375
transcript.pyannote[1802].speaker SPEAKER_07
transcript.pyannote[1802].start 10666.02659375
transcript.pyannote[1802].end 10667.57909375
transcript.pyannote[1803].speaker SPEAKER_08
transcript.pyannote[1803].start 10667.57909375
transcript.pyannote[1803].end 10667.69721875
transcript.pyannote[1804].speaker SPEAKER_07
transcript.pyannote[1804].start 10668.38909375
transcript.pyannote[1804].end 10669.48596875
transcript.pyannote[1805].speaker SPEAKER_07
transcript.pyannote[1805].start 10673.18159375
transcript.pyannote[1805].end 10673.19846875
transcript.pyannote[1806].speaker SPEAKER_08
transcript.pyannote[1806].start 10673.19846875
transcript.pyannote[1806].end 10718.69346875
transcript.pyannote[1807].speaker SPEAKER_00
transcript.pyannote[1807].start 10688.14971875
transcript.pyannote[1807].end 10688.16659375
transcript.pyannote[1808].speaker SPEAKER_05
transcript.pyannote[1808].start 10688.16659375
transcript.pyannote[1808].end 10688.52096875
transcript.pyannote[1809].speaker SPEAKER_08
transcript.pyannote[1809].start 10718.92971875
transcript.pyannote[1809].end 10721.95034375
transcript.pyannote[1810].speaker SPEAKER_08
transcript.pyannote[1810].start 10722.54096875
transcript.pyannote[1810].end 10802.51159375
transcript.pyannote[1811].speaker SPEAKER_08
transcript.pyannote[1811].start 10802.79846875
transcript.pyannote[1811].end 10806.76409375
transcript.pyannote[1812].speaker SPEAKER_25
transcript.pyannote[1812].start 10806.76409375
transcript.pyannote[1812].end 10806.93284375
transcript.pyannote[1813].speaker SPEAKER_08
transcript.pyannote[1813].start 10806.93284375
transcript.pyannote[1813].end 10813.88534375
transcript.pyannote[1814].speaker SPEAKER_08
transcript.pyannote[1814].start 10813.98659375
transcript.pyannote[1814].end 10825.91721875
transcript.pyannote[1815].speaker SPEAKER_08
transcript.pyannote[1815].start 10827.06471875
transcript.pyannote[1815].end 10829.32596875
transcript.pyannote[1816].speaker SPEAKER_18
transcript.pyannote[1816].start 10829.32596875
transcript.pyannote[1816].end 10835.45159375
transcript.pyannote[1817].speaker SPEAKER_25
transcript.pyannote[1817].start 10835.41784375
transcript.pyannote[1817].end 10835.75534375
transcript.pyannote[1818].speaker SPEAKER_18
transcript.pyannote[1818].start 10835.70471875
transcript.pyannote[1818].end 10842.26909375
transcript.pyannote[1819].speaker SPEAKER_18
transcript.pyannote[1819].start 10842.69096875
transcript.pyannote[1819].end 10847.61846875
transcript.pyannote[1820].speaker SPEAKER_18
transcript.pyannote[1820].start 10847.70284375
transcript.pyannote[1820].end 10854.97596875
transcript.pyannote[1821].speaker SPEAKER_08
transcript.pyannote[1821].start 10854.97596875
transcript.pyannote[1821].end 10865.48909375
transcript.pyannote[1822].speaker SPEAKER_18
transcript.pyannote[1822].start 10859.14409375
transcript.pyannote[1822].end 10859.56596875
transcript.pyannote[1823].speaker SPEAKER_18
transcript.pyannote[1823].start 10860.30846875
transcript.pyannote[1823].end 10860.78096875
transcript.pyannote[1824].speaker SPEAKER_18
transcript.pyannote[1824].start 10865.79284375
transcript.pyannote[1824].end 10865.82659375
transcript.pyannote[1825].speaker SPEAKER_08
transcript.pyannote[1825].start 10865.82659375
transcript.pyannote[1825].end 10866.06284375
transcript.pyannote[1826].speaker SPEAKER_18
transcript.pyannote[1826].start 10866.06284375
transcript.pyannote[1826].end 10866.14721875
transcript.pyannote[1827].speaker SPEAKER_08
transcript.pyannote[1827].start 10866.14721875
transcript.pyannote[1827].end 10866.19784375
transcript.pyannote[1828].speaker SPEAKER_18
transcript.pyannote[1828].start 10866.19784375
transcript.pyannote[1828].end 10867.95284375
transcript.pyannote[1829].speaker SPEAKER_08
transcript.pyannote[1829].start 10867.95284375
transcript.pyannote[1829].end 10867.96971875
transcript.pyannote[1830].speaker SPEAKER_18
transcript.pyannote[1830].start 10867.96971875
transcript.pyannote[1830].end 10868.05409375
transcript.pyannote[1831].speaker SPEAKER_18
transcript.pyannote[1831].start 10868.54346875
transcript.pyannote[1831].end 10869.33659375
transcript.pyannote[1832].speaker SPEAKER_08
transcript.pyannote[1832].start 10869.33659375
transcript.pyannote[1832].end 10870.14659375
transcript.pyannote[1833].speaker SPEAKER_18
transcript.pyannote[1833].start 10871.51346875
transcript.pyannote[1833].end 10871.53034375
transcript.pyannote[1834].speaker SPEAKER_08
transcript.pyannote[1834].start 10871.53034375
transcript.pyannote[1834].end 10872.81284375
transcript.pyannote[1835].speaker SPEAKER_08
transcript.pyannote[1835].start 10872.96471875
transcript.pyannote[1835].end 10875.95159375
transcript.pyannote[1836].speaker SPEAKER_08
transcript.pyannote[1836].start 10877.01471875
transcript.pyannote[1836].end 10877.62221875
transcript.pyannote[1837].speaker SPEAKER_14
transcript.pyannote[1837].start 10877.30159375
transcript.pyannote[1837].end 10878.09471875
transcript.pyannote[1838].speaker SPEAKER_08
transcript.pyannote[1838].start 10878.09471875
transcript.pyannote[1838].end 10885.87409375
transcript.pyannote[1839].speaker SPEAKER_08
transcript.pyannote[1839].start 10886.61659375
transcript.pyannote[1839].end 10892.91096875
transcript.pyannote[1840].speaker SPEAKER_18
transcript.pyannote[1840].start 10892.20221875
transcript.pyannote[1840].end 10893.77159375
transcript.pyannote[1841].speaker SPEAKER_08
transcript.pyannote[1841].start 10893.55221875
transcript.pyannote[1841].end 10897.18034375
transcript.pyannote[1842].speaker SPEAKER_18
transcript.pyannote[1842].start 10895.66159375
transcript.pyannote[1842].end 10898.29409375
transcript.pyannote[1843].speaker SPEAKER_08
transcript.pyannote[1843].start 10898.10846875
transcript.pyannote[1843].end 10915.18596875
transcript.pyannote[1844].speaker SPEAKER_08
transcript.pyannote[1844].start 10915.25346875
transcript.pyannote[1844].end 10920.53534375
transcript.pyannote[1845].speaker SPEAKER_18
transcript.pyannote[1845].start 10920.61971875
transcript.pyannote[1845].end 10934.55846875
transcript.pyannote[1846].speaker SPEAKER_08
transcript.pyannote[1846].start 10922.99909375
transcript.pyannote[1846].end 10926.20534375
transcript.pyannote[1847].speaker SPEAKER_08
transcript.pyannote[1847].start 10927.15034375
transcript.pyannote[1847].end 10927.92659375
transcript.pyannote[1848].speaker SPEAKER_08
transcript.pyannote[1848].start 10933.27596875
transcript.pyannote[1848].end 10938.54096875
transcript.pyannote[1849].speaker SPEAKER_08
transcript.pyannote[1849].start 10939.80659375
transcript.pyannote[1849].end 10940.34659375
transcript.pyannote[1850].speaker SPEAKER_18
transcript.pyannote[1850].start 10940.09346875
transcript.pyannote[1850].end 10942.89471875
transcript.pyannote[1851].speaker SPEAKER_08
transcript.pyannote[1851].start 10942.81034375
transcript.pyannote[1851].end 10963.06034375
transcript.pyannote[1852].speaker SPEAKER_08
transcript.pyannote[1852].start 10963.29659375
transcript.pyannote[1852].end 10969.52346875
transcript.pyannote[1853].speaker SPEAKER_08
transcript.pyannote[1853].start 10969.62471875
transcript.pyannote[1853].end 10993.19909375
transcript.pyannote[1854].speaker SPEAKER_25
transcript.pyannote[1854].start 10983.66471875
transcript.pyannote[1854].end 10983.71534375
transcript.pyannote[1855].speaker SPEAKER_08
transcript.pyannote[1855].start 10993.78971875
transcript.pyannote[1855].end 10993.82346875
transcript.pyannote[1856].speaker SPEAKER_18
transcript.pyannote[1856].start 10993.82346875
transcript.pyannote[1856].end 11001.19784375
transcript.pyannote[1857].speaker SPEAKER_08
transcript.pyannote[1857].start 10994.58284375
transcript.pyannote[1857].end 10995.73034375
transcript.pyannote[1858].speaker SPEAKER_08
transcript.pyannote[1858].start 10996.18596875
transcript.pyannote[1858].end 10996.25346875
transcript.pyannote[1859].speaker SPEAKER_08
transcript.pyannote[1859].start 11000.87721875
transcript.pyannote[1859].end 11030.86409375
transcript.pyannote[1860].speaker SPEAKER_00
transcript.pyannote[1860].start 11019.11909375
transcript.pyannote[1860].end 11019.92909375
transcript.pyannote[1861].speaker SPEAKER_37
transcript.pyannote[1861].start 11029.83471875
transcript.pyannote[1861].end 11030.35784375
transcript.pyannote[1862].speaker SPEAKER_37
transcript.pyannote[1862].start 11030.86409375
transcript.pyannote[1862].end 11031.01596875
transcript.pyannote[1863].speaker SPEAKER_08
transcript.pyannote[1863].start 11031.01596875
transcript.pyannote[1863].end 11032.24784375
transcript.pyannote[1864].speaker SPEAKER_37
transcript.pyannote[1864].start 11031.03284375
transcript.pyannote[1864].end 11031.23534375
transcript.pyannote[1865].speaker SPEAKER_08
transcript.pyannote[1865].start 11033.85096875
transcript.pyannote[1865].end 11033.86784375
transcript.pyannote[1866].speaker SPEAKER_18
transcript.pyannote[1866].start 11033.86784375
transcript.pyannote[1866].end 11034.52596875
transcript.pyannote[1867].speaker SPEAKER_18
transcript.pyannote[1867].start 11034.89721875
transcript.pyannote[1867].end 11035.21784375
transcript.pyannote[1868].speaker SPEAKER_18
transcript.pyannote[1868].start 11035.52159375
transcript.pyannote[1868].end 11040.04409375
transcript.pyannote[1869].speaker SPEAKER_18
transcript.pyannote[1869].start 11040.29721875
transcript.pyannote[1869].end 11047.72221875
transcript.pyannote[1870].speaker SPEAKER_08
transcript.pyannote[1870].start 11046.62534375
transcript.pyannote[1870].end 11049.37596875
transcript.pyannote[1871].speaker SPEAKER_18
transcript.pyannote[1871].start 11048.04284375
transcript.pyannote[1871].end 11058.18471875
transcript.pyannote[1872].speaker SPEAKER_08
transcript.pyannote[1872].start 11056.73346875
transcript.pyannote[1872].end 11063.95596875
transcript.pyannote[1873].speaker SPEAKER_08
transcript.pyannote[1873].start 11064.32721875
transcript.pyannote[1873].end 11171.36534375
transcript.pyannote[1874].speaker SPEAKER_08
transcript.pyannote[1874].start 11171.60159375
transcript.pyannote[1874].end 11189.60721875
transcript.pyannote[1875].speaker SPEAKER_08
transcript.pyannote[1875].start 11189.79284375
transcript.pyannote[1875].end 11190.70409375
transcript.pyannote[1876].speaker SPEAKER_08
transcript.pyannote[1876].start 11191.10909375
transcript.pyannote[1876].end 11253.14159375
transcript.pyannote[1877].speaker SPEAKER_08
transcript.pyannote[1877].start 11254.23846875
transcript.pyannote[1877].end 11259.45284375
transcript.pyannote[1878].speaker SPEAKER_08
transcript.pyannote[1878].start 11259.58784375
transcript.pyannote[1878].end 11286.23346875
transcript.pyannote[1879].speaker SPEAKER_08
transcript.pyannote[1879].start 11286.43596875
transcript.pyannote[1879].end 11293.89471875
transcript.pyannote[1880].speaker SPEAKER_08
transcript.pyannote[1880].start 11294.80596875
transcript.pyannote[1880].end 11318.41409375
transcript.pyannote[1881].speaker SPEAKER_08
transcript.pyannote[1881].start 11319.03846875
transcript.pyannote[1881].end 11323.74659375
transcript.pyannote[1882].speaker SPEAKER_08
transcript.pyannote[1882].start 11324.26971875
transcript.pyannote[1882].end 11331.34034375
transcript.pyannote[1883].speaker SPEAKER_08
transcript.pyannote[1883].start 11331.57659375
transcript.pyannote[1883].end 11356.02846875
transcript.pyannote[1884].speaker SPEAKER_08
transcript.pyannote[1884].start 11356.38284375
transcript.pyannote[1884].end 11369.20784375
transcript.pyannote[1885].speaker SPEAKER_08
transcript.pyannote[1885].start 11369.41034375
transcript.pyannote[1885].end 11375.51909375
transcript.pyannote[1886].speaker SPEAKER_08
transcript.pyannote[1886].start 11377.05471875
transcript.pyannote[1886].end 11417.09909375
transcript.pyannote[1887].speaker SPEAKER_08
transcript.pyannote[1887].start 11417.70659375
transcript.pyannote[1887].end 11419.79909375
transcript.pyannote[1888].speaker SPEAKER_08
transcript.pyannote[1888].start 11420.25471875
transcript.pyannote[1888].end 11423.07284375
transcript.pyannote[1889].speaker SPEAKER_08
transcript.pyannote[1889].start 11423.47784375
transcript.pyannote[1889].end 11424.43971875
transcript.pyannote[1890].speaker SPEAKER_08
transcript.pyannote[1890].start 11424.81096875
transcript.pyannote[1890].end 11431.84784375
transcript.pyannote[1891].speaker SPEAKER_08
transcript.pyannote[1891].start 11431.93221875
transcript.pyannote[1891].end 11432.55659375
transcript.pyannote[1892].speaker SPEAKER_08
transcript.pyannote[1892].start 11433.18096875
transcript.pyannote[1892].end 11447.98034375
transcript.pyannote[1893].speaker SPEAKER_08
transcript.pyannote[1893].start 11449.43159375
transcript.pyannote[1893].end 11482.13534375
transcript.pyannote[1894].speaker SPEAKER_16
transcript.pyannote[1894].start 11470.93034375
transcript.pyannote[1894].end 11471.28471875
transcript.pyannote[1895].speaker SPEAKER_16
transcript.pyannote[1895].start 11474.25471875
transcript.pyannote[1895].end 11474.96346875
transcript.pyannote[1896].speaker SPEAKER_18
transcript.pyannote[1896].start 11482.82721875
transcript.pyannote[1896].end 11484.81846875
transcript.pyannote[1897].speaker SPEAKER_08
transcript.pyannote[1897].start 11483.58659375
transcript.pyannote[1897].end 11488.10909375
transcript.pyannote[1898].speaker SPEAKER_08
transcript.pyannote[1898].start 11488.58159375
transcript.pyannote[1898].end 11491.83846875
transcript.pyannote[1899].speaker SPEAKER_18
transcript.pyannote[1899].start 11492.47971875
transcript.pyannote[1899].end 11495.73659375
transcript.pyannote[1900].speaker SPEAKER_08
transcript.pyannote[1900].start 11494.58909375
transcript.pyannote[1900].end 11494.84221875
transcript.pyannote[1901].speaker SPEAKER_08
transcript.pyannote[1901].start 11495.50034375
transcript.pyannote[1901].end 11496.63096875
transcript.pyannote[1902].speaker SPEAKER_07
transcript.pyannote[1902].start 11495.73659375
transcript.pyannote[1902].end 11496.98534375
transcript.pyannote[1903].speaker SPEAKER_18
transcript.pyannote[1903].start 11496.63096875
transcript.pyannote[1903].end 11496.64784375
transcript.pyannote[1904].speaker SPEAKER_07
transcript.pyannote[1904].start 11497.50846875
transcript.pyannote[1904].end 11503.24596875
transcript.pyannote[1905].speaker SPEAKER_09
transcript.pyannote[1905].start 11503.36409375
transcript.pyannote[1905].end 11775.54096875
transcript.pyannote[1906].speaker SPEAKER_09
transcript.pyannote[1906].start 11776.21596875
transcript.pyannote[1906].end 11778.30846875
transcript.pyannote[1907].speaker SPEAKER_09
transcript.pyannote[1907].start 11778.57846875
transcript.pyannote[1907].end 11790.50909375
transcript.pyannote[1908].speaker SPEAKER_09
transcript.pyannote[1908].start 11791.82534375
transcript.pyannote[1908].end 11829.10221875
transcript.pyannote[1909].speaker SPEAKER_09
transcript.pyannote[1909].start 11829.33846875
transcript.pyannote[1909].end 11912.00909375
transcript.pyannote[1910].speaker SPEAKER_09
transcript.pyannote[1910].start 11912.78534375
transcript.pyannote[1910].end 11912.81909375
transcript.pyannote[1911].speaker SPEAKER_07
transcript.pyannote[1911].start 11912.81909375
transcript.pyannote[1911].end 11916.83534375
transcript.pyannote[1912].speaker SPEAKER_31
transcript.pyannote[1912].start 11919.06284375
transcript.pyannote[1912].end 11948.25659375
transcript.pyannote[1913].speaker SPEAKER_07
transcript.pyannote[1913].start 11946.26534375
transcript.pyannote[1913].end 11950.28159375
transcript.pyannote[1914].speaker SPEAKER_06
transcript.pyannote[1914].start 11948.25659375
transcript.pyannote[1914].end 11948.64471875
transcript.pyannote[1915].speaker SPEAKER_31
transcript.pyannote[1915].start 11950.99034375
transcript.pyannote[1915].end 11957.38596875
transcript.pyannote[1916].speaker SPEAKER_07
transcript.pyannote[1916].start 11957.72346875
transcript.pyannote[1916].end 11961.40221875
transcript.pyannote[1917].speaker SPEAKER_31
transcript.pyannote[1917].start 11961.80721875
transcript.pyannote[1917].end 11967.79784375
transcript.pyannote[1918].speaker SPEAKER_07
transcript.pyannote[1918].start 11969.53596875
transcript.pyannote[1918].end 11971.94909375
transcript.pyannote[1919].speaker SPEAKER_31
transcript.pyannote[1919].start 11970.90284375
transcript.pyannote[1919].end 11971.27409375
transcript.pyannote[1920].speaker SPEAKER_31
transcript.pyannote[1920].start 11972.25284375
transcript.pyannote[1920].end 11980.84221875
transcript.pyannote[1921].speaker SPEAKER_07
transcript.pyannote[1921].start 11976.87659375
transcript.pyannote[1921].end 11977.50096875
transcript.pyannote[1922].speaker SPEAKER_07
transcript.pyannote[1922].start 11978.22659375
transcript.pyannote[1922].end 11982.90096875
transcript.pyannote[1923].speaker SPEAKER_31
transcript.pyannote[1923].start 11980.87596875
transcript.pyannote[1923].end 11981.39909375
transcript.pyannote[1924].speaker SPEAKER_31
transcript.pyannote[1924].start 11983.72784375
transcript.pyannote[1924].end 12004.33221875
transcript.pyannote[1925].speaker SPEAKER_07
transcript.pyannote[1925].start 12005.22659375
transcript.pyannote[1925].end 12005.58096875
transcript.pyannote[1926].speaker SPEAKER_07
transcript.pyannote[1926].start 12006.52596875
transcript.pyannote[1926].end 12007.89284375
transcript.pyannote[1927].speaker SPEAKER_07
transcript.pyannote[1927].start 12008.60159375
transcript.pyannote[1927].end 12011.80784375
transcript.pyannote[1928].speaker SPEAKER_07
transcript.pyannote[1928].start 12016.19534375
transcript.pyannote[1928].end 12017.91659375
transcript.pyannote[1929].speaker SPEAKER_07
transcript.pyannote[1929].start 12019.50284375
transcript.pyannote[1929].end 12021.15659375
transcript.pyannote[1930].speaker SPEAKER_07
transcript.pyannote[1930].start 12022.89471875
transcript.pyannote[1930].end 12024.71721875
transcript.pyannote[1931].speaker SPEAKER_07
transcript.pyannote[1931].start 12027.18096875
transcript.pyannote[1931].end 12027.19784375
transcript.pyannote[1932].speaker SPEAKER_06
transcript.pyannote[1932].start 12027.19784375
transcript.pyannote[1932].end 12060.18846875
transcript.pyannote[1933].speaker SPEAKER_06
transcript.pyannote[1933].start 12060.50909375
transcript.pyannote[1933].end 12073.06409375
transcript.pyannote[1934].speaker SPEAKER_06
transcript.pyannote[1934].start 12073.55346875
transcript.pyannote[1934].end 12073.90784375
transcript.pyannote[1935].speaker SPEAKER_06
transcript.pyannote[1935].start 12074.41409375
transcript.pyannote[1935].end 12077.99159375
transcript.pyannote[1936].speaker SPEAKER_07
transcript.pyannote[1936].start 12075.67971875
transcript.pyannote[1936].end 12077.45159375
transcript.pyannote[1937].speaker SPEAKER_06
transcript.pyannote[1937].start 12078.41346875
transcript.pyannote[1937].end 12079.49346875
transcript.pyannote[1938].speaker SPEAKER_06
transcript.pyannote[1938].start 12079.64534375
transcript.pyannote[1938].end 12128.27909375
transcript.pyannote[1939].speaker SPEAKER_33
transcript.pyannote[1939].start 12130.05096875
transcript.pyannote[1939].end 12134.82659375
transcript.pyannote[1940].speaker SPEAKER_07
transcript.pyannote[1940].start 12137.20596875
transcript.pyannote[1940].end 12138.25221875
transcript.pyannote[1941].speaker SPEAKER_33
transcript.pyannote[1941].start 12137.54346875
transcript.pyannote[1941].end 12141.40784375
transcript.pyannote[1942].speaker SPEAKER_33
transcript.pyannote[1942].start 12141.67784375
transcript.pyannote[1942].end 12145.59284375
transcript.pyannote[1943].speaker SPEAKER_33
transcript.pyannote[1943].start 12148.03971875
transcript.pyannote[1943].end 12149.27159375
transcript.pyannote[1944].speaker SPEAKER_07
transcript.pyannote[1944].start 12150.16596875
transcript.pyannote[1944].end 12150.48659375
transcript.pyannote[1945].speaker SPEAKER_07
transcript.pyannote[1945].start 12151.14471875
transcript.pyannote[1945].end 12152.37659375
transcript.pyannote[1946].speaker SPEAKER_07
transcript.pyannote[1946].start 12152.93346875
transcript.pyannote[1946].end 12153.67596875
transcript.pyannote[1947].speaker SPEAKER_07
transcript.pyannote[1947].start 12154.38471875
transcript.pyannote[1947].end 12160.22346875
transcript.pyannote[1948].speaker SPEAKER_35
transcript.pyannote[1948].start 12169.77471875
transcript.pyannote[1948].end 12172.50846875
transcript.pyannote[1949].speaker SPEAKER_04
transcript.pyannote[1949].start 12179.07284375
transcript.pyannote[1949].end 12179.76471875
transcript.pyannote[1950].speaker SPEAKER_35
transcript.pyannote[1950].start 12179.49471875
transcript.pyannote[1950].end 12180.03471875
transcript.pyannote[1951].speaker SPEAKER_35
transcript.pyannote[1951].start 12180.28784375
transcript.pyannote[1951].end 12183.93284375
transcript.pyannote[1952].speaker SPEAKER_35
transcript.pyannote[1952].start 12184.33784375
transcript.pyannote[1952].end 12186.02534375
transcript.pyannote[1953].speaker SPEAKER_35
transcript.pyannote[1953].start 12186.17721875
transcript.pyannote[1953].end 12188.79284375
transcript.pyannote[1954].speaker SPEAKER_35
transcript.pyannote[1954].start 12188.89409375
transcript.pyannote[1954].end 12195.71159375
transcript.pyannote[1955].speaker SPEAKER_35
transcript.pyannote[1955].start 12195.96471875
transcript.pyannote[1955].end 12197.50034375
transcript.pyannote[1956].speaker SPEAKER_35
transcript.pyannote[1956].start 12197.92221875
transcript.pyannote[1956].end 12198.46221875
transcript.pyannote[1957].speaker SPEAKER_35
transcript.pyannote[1957].start 12198.74909375
transcript.pyannote[1957].end 12200.72346875
transcript.pyannote[1958].speaker SPEAKER_35
transcript.pyannote[1958].start 12200.95971875
transcript.pyannote[1958].end 12202.71471875
transcript.pyannote[1959].speaker SPEAKER_35
transcript.pyannote[1959].start 12202.96784375
transcript.pyannote[1959].end 12205.53284375
transcript.pyannote[1960].speaker SPEAKER_35
transcript.pyannote[1960].start 12205.60034375
transcript.pyannote[1960].end 12214.91534375
transcript.pyannote[1961].speaker SPEAKER_04
transcript.pyannote[1961].start 12215.57346875
transcript.pyannote[1961].end 12253.45784375
transcript.pyannote[1962].speaker SPEAKER_35
transcript.pyannote[1962].start 12220.24784375
transcript.pyannote[1962].end 12220.63596875
transcript.pyannote[1963].speaker SPEAKER_00
transcript.pyannote[1963].start 12227.50409375
transcript.pyannote[1963].end 12227.77409375
transcript.pyannote[1964].speaker SPEAKER_00
transcript.pyannote[1964].start 12240.54846875
transcript.pyannote[1964].end 12240.59909375
transcript.pyannote[1965].speaker SPEAKER_37
transcript.pyannote[1965].start 12240.59909375
transcript.pyannote[1965].end 12240.73409375
transcript.pyannote[1966].speaker SPEAKER_00
transcript.pyannote[1966].start 12240.73409375
transcript.pyannote[1966].end 12240.75096875
transcript.pyannote[1967].speaker SPEAKER_37
transcript.pyannote[1967].start 12240.75096875
transcript.pyannote[1967].end 12240.80159375
transcript.pyannote[1968].speaker SPEAKER_00
transcript.pyannote[1968].start 12240.80159375
transcript.pyannote[1968].end 12240.88596875
transcript.pyannote[1969].speaker SPEAKER_35
transcript.pyannote[1969].start 12251.36534375
transcript.pyannote[1969].end 12256.27596875
transcript.pyannote[1970].speaker SPEAKER_04
transcript.pyannote[1970].start 12255.12846875
transcript.pyannote[1970].end 12255.28034375
transcript.pyannote[1971].speaker SPEAKER_04
transcript.pyannote[1971].start 12256.68096875
transcript.pyannote[1971].end 12260.35971875
transcript.pyannote[1972].speaker SPEAKER_35
transcript.pyannote[1972].start 12259.80284375
transcript.pyannote[1972].end 12265.82721875
transcript.pyannote[1973].speaker SPEAKER_04
transcript.pyannote[1973].start 12263.58284375
transcript.pyannote[1973].end 12263.81909375
transcript.pyannote[1974].speaker SPEAKER_35
transcript.pyannote[1974].start 12266.16471875
transcript.pyannote[1974].end 12288.18659375
transcript.pyannote[1975].speaker SPEAKER_25
transcript.pyannote[1975].start 12281.31846875
transcript.pyannote[1975].end 12281.65596875
transcript.pyannote[1976].speaker SPEAKER_09
transcript.pyannote[1976].start 12281.89221875
transcript.pyannote[1976].end 12281.92596875
transcript.pyannote[1977].speaker SPEAKER_35
transcript.pyannote[1977].start 12288.33846875
transcript.pyannote[1977].end 12299.44221875
transcript.pyannote[1978].speaker SPEAKER_04
transcript.pyannote[1978].start 12299.44221875
transcript.pyannote[1978].end 12299.47596875
transcript.pyannote[1979].speaker SPEAKER_04
transcript.pyannote[1979].start 12299.79659375
transcript.pyannote[1979].end 12308.97659375
transcript.pyannote[1980].speaker SPEAKER_35
transcript.pyannote[1980].start 12303.96471875
transcript.pyannote[1980].end 12304.35284375
transcript.pyannote[1981].speaker SPEAKER_35
transcript.pyannote[1981].start 12307.98096875
transcript.pyannote[1981].end 12309.71909375
transcript.pyannote[1982].speaker SPEAKER_04
transcript.pyannote[1982].start 12309.38159375
transcript.pyannote[1982].end 12312.53721875
transcript.pyannote[1983].speaker SPEAKER_35
transcript.pyannote[1983].start 12311.17034375
transcript.pyannote[1983].end 12317.14409375
transcript.pyannote[1984].speaker SPEAKER_04
transcript.pyannote[1984].start 12316.57034375
transcript.pyannote[1984].end 12318.27471875
transcript.pyannote[1985].speaker SPEAKER_35
transcript.pyannote[1985].start 12317.32971875
transcript.pyannote[1985].end 12319.62471875
transcript.pyannote[1986].speaker SPEAKER_04
transcript.pyannote[1986].start 12319.57409375
transcript.pyannote[1986].end 12319.59096875
transcript.pyannote[1987].speaker SPEAKER_04
transcript.pyannote[1987].start 12319.62471875
transcript.pyannote[1987].end 12320.21534375
transcript.pyannote[1988].speaker SPEAKER_35
transcript.pyannote[1988].start 12319.72596875
transcript.pyannote[1988].end 12321.36284375
transcript.pyannote[1989].speaker SPEAKER_04
transcript.pyannote[1989].start 12321.46409375
transcript.pyannote[1989].end 12339.63846875
transcript.pyannote[1990].speaker SPEAKER_35
transcript.pyannote[1990].start 12324.88971875
transcript.pyannote[1990].end 12325.39596875
transcript.pyannote[1991].speaker SPEAKER_35
transcript.pyannote[1991].start 12328.75409375
transcript.pyannote[1991].end 12331.18409375
transcript.pyannote[1992].speaker SPEAKER_35
transcript.pyannote[1992].start 12333.07409375
transcript.pyannote[1992].end 12333.49596875
transcript.pyannote[1993].speaker SPEAKER_35
transcript.pyannote[1993].start 12336.83721875
transcript.pyannote[1993].end 12337.19159375
transcript.pyannote[1994].speaker SPEAKER_35
transcript.pyannote[1994].start 12338.74409375
transcript.pyannote[1994].end 12349.99971875
transcript.pyannote[1995].speaker SPEAKER_04
transcript.pyannote[1995].start 12348.63284375
transcript.pyannote[1995].end 12352.49721875
transcript.pyannote[1996].speaker SPEAKER_35
transcript.pyannote[1996].start 12351.53534375
transcript.pyannote[1996].end 12356.68221875
transcript.pyannote[1997].speaker SPEAKER_35
transcript.pyannote[1997].start 12356.96909375
transcript.pyannote[1997].end 12364.73159375
transcript.pyannote[1998].speaker SPEAKER_04
transcript.pyannote[1998].start 12363.98909375
transcript.pyannote[1998].end 12366.45284375
transcript.pyannote[1999].speaker SPEAKER_04
transcript.pyannote[1999].start 12366.62159375
transcript.pyannote[1999].end 12375.98721875
transcript.pyannote[2000].speaker SPEAKER_35
transcript.pyannote[2000].start 12373.06784375
transcript.pyannote[2000].end 12373.27034375
transcript.pyannote[2001].speaker SPEAKER_35
transcript.pyannote[2001].start 12374.24909375
transcript.pyannote[2001].end 12378.95721875
transcript.pyannote[2002].speaker SPEAKER_35
transcript.pyannote[2002].start 12379.15971875
transcript.pyannote[2002].end 12381.08346875
transcript.pyannote[2003].speaker SPEAKER_35
transcript.pyannote[2003].start 12381.52221875
transcript.pyannote[2003].end 12383.07471875
transcript.pyannote[2004].speaker SPEAKER_04
transcript.pyannote[2004].start 12382.36596875
transcript.pyannote[2004].end 12383.37846875
transcript.pyannote[2005].speaker SPEAKER_35
transcript.pyannote[2005].start 12383.80034375
transcript.pyannote[2005].end 12385.01534375
transcript.pyannote[2006].speaker SPEAKER_04
transcript.pyannote[2006].start 12385.30221875
transcript.pyannote[2006].end 12390.04409375
transcript.pyannote[2007].speaker SPEAKER_04
transcript.pyannote[2007].start 12390.06096875
transcript.pyannote[2007].end 12390.14534375
transcript.pyannote[2008].speaker SPEAKER_04
transcript.pyannote[2008].start 12390.16221875
transcript.pyannote[2008].end 12390.22971875
transcript.pyannote[2009].speaker SPEAKER_35
transcript.pyannote[2009].start 12390.22971875
transcript.pyannote[2009].end 12404.06721875
transcript.pyannote[2010].speaker SPEAKER_04
transcript.pyannote[2010].start 12390.26346875
transcript.pyannote[2010].end 12390.43221875
transcript.pyannote[2011].speaker SPEAKER_35
transcript.pyannote[2011].start 12404.47221875
transcript.pyannote[2011].end 12405.63659375
transcript.pyannote[2012].speaker SPEAKER_04
transcript.pyannote[2012].start 12405.40034375
transcript.pyannote[2012].end 12405.90659375
transcript.pyannote[2013].speaker SPEAKER_04
transcript.pyannote[2013].start 12406.00784375
transcript.pyannote[2013].end 12407.69534375
transcript.pyannote[2014].speaker SPEAKER_04
transcript.pyannote[2014].start 12407.83034375
transcript.pyannote[2014].end 12412.70721875
transcript.pyannote[2015].speaker SPEAKER_35
transcript.pyannote[2015].start 12412.84221875
transcript.pyannote[2015].end 12417.70221875
transcript.pyannote[2016].speaker SPEAKER_35
transcript.pyannote[2016].start 12417.71909375
transcript.pyannote[2016].end 12417.73596875
transcript.pyannote[2017].speaker SPEAKER_35
transcript.pyannote[2017].start 12417.87096875
transcript.pyannote[2017].end 12419.18721875
transcript.pyannote[2018].speaker SPEAKER_04
transcript.pyannote[2018].start 12420.11534375
transcript.pyannote[2018].end 12425.39721875
transcript.pyannote[2019].speaker SPEAKER_35
transcript.pyannote[2019].start 12425.36346875
transcript.pyannote[2019].end 12425.66721875
transcript.pyannote[2020].speaker SPEAKER_04
transcript.pyannote[2020].start 12425.66721875
transcript.pyannote[2020].end 12433.29471875
transcript.pyannote[2021].speaker SPEAKER_35
transcript.pyannote[2021].start 12432.21471875
transcript.pyannote[2021].end 12438.27284375
transcript.pyannote[2022].speaker SPEAKER_04
transcript.pyannote[2022].start 12438.52596875
transcript.pyannote[2022].end 12439.65659375
transcript.pyannote[2023].speaker SPEAKER_35
transcript.pyannote[2023].start 12439.69034375
transcript.pyannote[2023].end 12441.81659375
transcript.pyannote[2024].speaker SPEAKER_04
transcript.pyannote[2024].start 12442.05284375
transcript.pyannote[2024].end 12443.60534375
transcript.pyannote[2025].speaker SPEAKER_35
transcript.pyannote[2025].start 12442.57596875
transcript.pyannote[2025].end 12443.85846875
transcript.pyannote[2026].speaker SPEAKER_04
transcript.pyannote[2026].start 12444.16221875
transcript.pyannote[2026].end 12445.17471875
transcript.pyannote[2027].speaker SPEAKER_04
transcript.pyannote[2027].start 12445.52909375
transcript.pyannote[2027].end 12451.11471875
transcript.pyannote[2028].speaker SPEAKER_35
transcript.pyannote[2028].start 12450.67596875
transcript.pyannote[2028].end 12458.01659375
transcript.pyannote[2029].speaker SPEAKER_04
transcript.pyannote[2029].start 12456.04221875
transcript.pyannote[2029].end 12457.08846875
transcript.pyannote[2030].speaker SPEAKER_04
transcript.pyannote[2030].start 12457.32471875
transcript.pyannote[2030].end 12459.04596875
transcript.pyannote[2031].speaker SPEAKER_35
transcript.pyannote[2031].start 12458.91096875
transcript.pyannote[2031].end 12469.82909375
transcript.pyannote[2032].speaker SPEAKER_04
transcript.pyannote[2032].start 12469.82909375
transcript.pyannote[2032].end 12473.87909375
transcript.pyannote[2033].speaker SPEAKER_35
transcript.pyannote[2033].start 12472.02284375
transcript.pyannote[2033].end 12473.06909375
transcript.pyannote[2034].speaker SPEAKER_35
transcript.pyannote[2034].start 12473.84534375
transcript.pyannote[2034].end 12477.22034375
transcript.pyannote[2035].speaker SPEAKER_04
transcript.pyannote[2035].start 12477.40596875
transcript.pyannote[2035].end 12477.45659375
transcript.pyannote[2036].speaker SPEAKER_35
transcript.pyannote[2036].start 12477.45659375
transcript.pyannote[2036].end 12478.87409375
transcript.pyannote[2037].speaker SPEAKER_35
transcript.pyannote[2037].start 12479.14409375
transcript.pyannote[2037].end 12480.19034375
transcript.pyannote[2038].speaker SPEAKER_35
transcript.pyannote[2038].start 12480.57846875
transcript.pyannote[2038].end 12481.97909375
transcript.pyannote[2039].speaker SPEAKER_04
transcript.pyannote[2039].start 12483.24471875
transcript.pyannote[2039].end 12498.39846875
transcript.pyannote[2040].speaker SPEAKER_35
transcript.pyannote[2040].start 12490.04534375
transcript.pyannote[2040].end 12490.46721875
transcript.pyannote[2041].speaker SPEAKER_35
transcript.pyannote[2041].start 12493.77471875
transcript.pyannote[2041].end 12496.67721875
transcript.pyannote[2042].speaker SPEAKER_35
transcript.pyannote[2042].start 12497.99346875
transcript.pyannote[2042].end 12500.74409375
transcript.pyannote[2043].speaker SPEAKER_04
transcript.pyannote[2043].start 12499.52909375
transcript.pyannote[2043].end 12500.32221875
transcript.pyannote[2044].speaker SPEAKER_35
transcript.pyannote[2044].start 12500.92971875
transcript.pyannote[2044].end 12501.55409375
transcript.pyannote[2045].speaker SPEAKER_35
transcript.pyannote[2045].start 12501.79034375
transcript.pyannote[2045].end 12506.36346875
transcript.pyannote[2046].speaker SPEAKER_04
transcript.pyannote[2046].start 12504.65909375
transcript.pyannote[2046].end 12505.18221875
transcript.pyannote[2047].speaker SPEAKER_04
transcript.pyannote[2047].start 12505.23284375
transcript.pyannote[2047].end 12505.53659375
transcript.pyannote[2048].speaker SPEAKER_04
transcript.pyannote[2048].start 12506.43096875
transcript.pyannote[2048].end 12516.20159375
transcript.pyannote[2049].speaker SPEAKER_35
transcript.pyannote[2049].start 12515.89784375
transcript.pyannote[2049].end 12517.66971875
transcript.pyannote[2050].speaker SPEAKER_04
transcript.pyannote[2050].start 12517.23096875
transcript.pyannote[2050].end 12517.31534375
transcript.pyannote[2051].speaker SPEAKER_07
transcript.pyannote[2051].start 12517.31534375
transcript.pyannote[2051].end 12517.66971875
transcript.pyannote[2052].speaker SPEAKER_04
transcript.pyannote[2052].start 12517.66971875
transcript.pyannote[2052].end 12517.75409375
transcript.pyannote[2053].speaker SPEAKER_04
transcript.pyannote[2053].start 12518.74971875
transcript.pyannote[2053].end 12518.78346875
transcript.pyannote[2054].speaker SPEAKER_07
transcript.pyannote[2054].start 12518.78346875
transcript.pyannote[2054].end 12519.61034375
transcript.pyannote[2055].speaker SPEAKER_07
transcript.pyannote[2055].start 12519.96471875
transcript.pyannote[2055].end 12523.66034375
transcript.pyannote[2056].speaker SPEAKER_24
transcript.pyannote[2056].start 12533.97096875
transcript.pyannote[2056].end 12536.01284375
transcript.pyannote[2057].speaker SPEAKER_07
transcript.pyannote[2057].start 12536.56971875
transcript.pyannote[2057].end 12537.78471875
transcript.pyannote[2058].speaker SPEAKER_07
transcript.pyannote[2058].start 12541.96971875
transcript.pyannote[2058].end 12541.98659375
transcript.pyannote[2059].speaker SPEAKER_24
transcript.pyannote[2059].start 12541.98659375
transcript.pyannote[2059].end 12542.00346875
transcript.pyannote[2060].speaker SPEAKER_07
transcript.pyannote[2060].start 12542.00346875
transcript.pyannote[2060].end 12542.03721875
transcript.pyannote[2061].speaker SPEAKER_24
transcript.pyannote[2061].start 12542.03721875
transcript.pyannote[2061].end 12570.84284375
transcript.pyannote[2062].speaker SPEAKER_25
transcript.pyannote[2062].start 12570.79221875
transcript.pyannote[2062].end 12570.82596875
transcript.pyannote[2063].speaker SPEAKER_25
transcript.pyannote[2063].start 12570.84284375
transcript.pyannote[2063].end 12571.18034375
transcript.pyannote[2064].speaker SPEAKER_24
transcript.pyannote[2064].start 12571.04534375
transcript.pyannote[2064].end 12612.62534375
transcript.pyannote[2065].speaker SPEAKER_18
transcript.pyannote[2065].start 12613.53659375
transcript.pyannote[2065].end 12615.03846875
transcript.pyannote[2066].speaker SPEAKER_18
transcript.pyannote[2066].start 12615.51096875
transcript.pyannote[2066].end 12617.35034375
transcript.pyannote[2067].speaker SPEAKER_24
transcript.pyannote[2067].start 12617.35034375
transcript.pyannote[2067].end 12617.72159375
transcript.pyannote[2068].speaker SPEAKER_18
transcript.pyannote[2068].start 12617.65409375
transcript.pyannote[2068].end 12618.63284375
transcript.pyannote[2069].speaker SPEAKER_18
transcript.pyannote[2069].start 12619.49346875
transcript.pyannote[2069].end 12620.15159375
transcript.pyannote[2070].speaker SPEAKER_24
transcript.pyannote[2070].start 12619.93221875
transcript.pyannote[2070].end 12622.66596875
transcript.pyannote[2071].speaker SPEAKER_18
transcript.pyannote[2071].start 12622.78409375
transcript.pyannote[2071].end 12623.23971875
transcript.pyannote[2072].speaker SPEAKER_24
transcript.pyannote[2072].start 12622.90221875
transcript.pyannote[2072].end 12623.40846875
transcript.pyannote[2073].speaker SPEAKER_18
transcript.pyannote[2073].start 12623.96534375
transcript.pyannote[2073].end 12624.97784375
transcript.pyannote[2074].speaker SPEAKER_24
transcript.pyannote[2074].start 12624.28596875
transcript.pyannote[2074].end 12626.66534375
transcript.pyannote[2075].speaker SPEAKER_18
transcript.pyannote[2075].start 12626.83409375
transcript.pyannote[2075].end 12632.50409375
transcript.pyannote[2076].speaker SPEAKER_18
transcript.pyannote[2076].start 12632.97659375
transcript.pyannote[2076].end 12635.72721875
transcript.pyannote[2077].speaker SPEAKER_18
transcript.pyannote[2077].start 12636.40221875
transcript.pyannote[2077].end 12643.35471875
transcript.pyannote[2078].speaker SPEAKER_25
transcript.pyannote[2078].start 12641.63346875
transcript.pyannote[2078].end 12642.05534375
transcript.pyannote[2079].speaker SPEAKER_00
transcript.pyannote[2079].start 12642.05534375
transcript.pyannote[2079].end 12642.17346875
transcript.pyannote[2080].speaker SPEAKER_18
transcript.pyannote[2080].start 12643.47284375
transcript.pyannote[2080].end 12647.89409375
transcript.pyannote[2081].speaker SPEAKER_18
transcript.pyannote[2081].start 12648.07971875
transcript.pyannote[2081].end 12651.37034375
transcript.pyannote[2082].speaker SPEAKER_24
transcript.pyannote[2082].start 12651.43784375
transcript.pyannote[2082].end 12672.07596875
transcript.pyannote[2083].speaker SPEAKER_18
transcript.pyannote[2083].start 12673.00409375
transcript.pyannote[2083].end 12679.09596875
transcript.pyannote[2084].speaker SPEAKER_24
transcript.pyannote[2084].start 12679.09596875
transcript.pyannote[2084].end 12679.80471875
transcript.pyannote[2085].speaker SPEAKER_18
transcript.pyannote[2085].start 12679.80471875
transcript.pyannote[2085].end 12679.82159375
transcript.pyannote[2086].speaker SPEAKER_24
transcript.pyannote[2086].start 12679.82159375
transcript.pyannote[2086].end 12692.96721875
transcript.pyannote[2087].speaker SPEAKER_24
transcript.pyannote[2087].start 12693.35534375
transcript.pyannote[2087].end 12712.05284375
transcript.pyannote[2088].speaker SPEAKER_18
transcript.pyannote[2088].start 12705.80909375
transcript.pyannote[2088].end 12706.31534375
transcript.pyannote[2089].speaker SPEAKER_18
transcript.pyannote[2089].start 12708.62721875
transcript.pyannote[2089].end 12709.06596875
transcript.pyannote[2090].speaker SPEAKER_18
transcript.pyannote[2090].start 12709.87596875
transcript.pyannote[2090].end 12710.38221875
transcript.pyannote[2091].speaker SPEAKER_18
transcript.pyannote[2091].start 12712.05284375
transcript.pyannote[2091].end 12712.08659375
transcript.pyannote[2092].speaker SPEAKER_24
transcript.pyannote[2092].start 12712.08659375
transcript.pyannote[2092].end 12712.18784375
transcript.pyannote[2093].speaker SPEAKER_18
transcript.pyannote[2093].start 12712.18784375
transcript.pyannote[2093].end 12715.52909375
transcript.pyannote[2094].speaker SPEAKER_18
transcript.pyannote[2094].start 12715.96784375
transcript.pyannote[2094].end 12719.64659375
transcript.pyannote[2095].speaker SPEAKER_24
transcript.pyannote[2095].start 12719.25846875
transcript.pyannote[2095].end 12724.75971875
transcript.pyannote[2096].speaker SPEAKER_18
transcript.pyannote[2096].start 12719.89971875
transcript.pyannote[2096].end 12719.93346875
transcript.pyannote[2097].speaker SPEAKER_18
transcript.pyannote[2097].start 12723.57846875
transcript.pyannote[2097].end 12724.08471875
transcript.pyannote[2098].speaker SPEAKER_18
transcript.pyannote[2098].start 12724.70909375
transcript.pyannote[2098].end 12726.70034375
transcript.pyannote[2099].speaker SPEAKER_18
transcript.pyannote[2099].start 12726.91971875
transcript.pyannote[2099].end 12730.54784375
transcript.pyannote[2100].speaker SPEAKER_24
transcript.pyannote[2100].start 12728.96159375
transcript.pyannote[2100].end 12732.25221875
transcript.pyannote[2101].speaker SPEAKER_18
transcript.pyannote[2101].start 12732.23534375
transcript.pyannote[2101].end 12733.02846875
transcript.pyannote[2102].speaker SPEAKER_24
transcript.pyannote[2102].start 12733.02846875
transcript.pyannote[2102].end 12735.37409375
transcript.pyannote[2103].speaker SPEAKER_18
transcript.pyannote[2103].start 12734.56409375
transcript.pyannote[2103].end 12740.04846875
transcript.pyannote[2104].speaker SPEAKER_24
transcript.pyannote[2104].start 12739.10346875
transcript.pyannote[2104].end 12743.65971875
transcript.pyannote[2105].speaker SPEAKER_27
transcript.pyannote[2105].start 12740.04846875
transcript.pyannote[2105].end 12740.08221875
transcript.pyannote[2106].speaker SPEAKER_24
transcript.pyannote[2106].start 12744.38534375
transcript.pyannote[2106].end 12756.95721875
transcript.pyannote[2107].speaker SPEAKER_25
transcript.pyannote[2107].start 12756.95721875
transcript.pyannote[2107].end 12757.21034375
transcript.pyannote[2108].speaker SPEAKER_24
transcript.pyannote[2108].start 12757.27784375
transcript.pyannote[2108].end 12758.37471875
transcript.pyannote[2109].speaker SPEAKER_24
transcript.pyannote[2109].start 12760.01159375
transcript.pyannote[2109].end 12784.51409375
transcript.pyannote[2110].speaker SPEAKER_24
transcript.pyannote[2110].start 12784.96971875
transcript.pyannote[2110].end 12787.04534375
transcript.pyannote[2111].speaker SPEAKER_24
transcript.pyannote[2111].start 12787.34909375
transcript.pyannote[2111].end 12791.71971875
transcript.pyannote[2112].speaker SPEAKER_25
transcript.pyannote[2112].start 12791.97284375
transcript.pyannote[2112].end 12792.05721875
transcript.pyannote[2113].speaker SPEAKER_24
transcript.pyannote[2113].start 12792.41159375
transcript.pyannote[2113].end 12792.91784375
transcript.pyannote[2114].speaker SPEAKER_24
transcript.pyannote[2114].start 12793.44096875
transcript.pyannote[2114].end 12794.35221875
transcript.pyannote[2115].speaker SPEAKER_24
transcript.pyannote[2115].start 12794.72346875
transcript.pyannote[2115].end 12797.45721875
transcript.pyannote[2116].speaker SPEAKER_24
transcript.pyannote[2116].start 12797.81159375
transcript.pyannote[2116].end 12809.33721875
transcript.pyannote[2117].speaker SPEAKER_25
transcript.pyannote[2117].start 12809.03346875
transcript.pyannote[2117].end 12809.47221875
transcript.pyannote[2118].speaker SPEAKER_24
transcript.pyannote[2118].start 12809.35409375
transcript.pyannote[2118].end 12813.16784375
transcript.pyannote[2119].speaker SPEAKER_24
transcript.pyannote[2119].start 12813.74159375
transcript.pyannote[2119].end 12819.20909375
transcript.pyannote[2120].speaker SPEAKER_24
transcript.pyannote[2120].start 12820.49159375
transcript.pyannote[2120].end 12821.23409375
transcript.pyannote[2121].speaker SPEAKER_24
transcript.pyannote[2121].start 12821.55471875
transcript.pyannote[2121].end 12838.31159375
transcript.pyannote[2122].speaker SPEAKER_24
transcript.pyannote[2122].start 12838.58159375
transcript.pyannote[2122].end 12838.85159375
transcript.pyannote[2123].speaker SPEAKER_24
transcript.pyannote[2123].start 12839.23971875
transcript.pyannote[2123].end 12840.92721875
transcript.pyannote[2124].speaker SPEAKER_24
transcript.pyannote[2124].start 12841.75409375
transcript.pyannote[2124].end 12842.96909375
transcript.pyannote[2125].speaker SPEAKER_18
transcript.pyannote[2125].start 12844.35284375
transcript.pyannote[2125].end 12850.96784375
transcript.pyannote[2126].speaker SPEAKER_24
transcript.pyannote[2126].start 12847.32284375
transcript.pyannote[2126].end 12847.86284375
transcript.pyannote[2127].speaker SPEAKER_24
transcript.pyannote[2127].start 12851.38971875
transcript.pyannote[2127].end 12855.28784375
transcript.pyannote[2128].speaker SPEAKER_15
transcript.pyannote[2128].start 12855.28784375
transcript.pyannote[2128].end 12855.30471875
transcript.pyannote[2129].speaker SPEAKER_24
transcript.pyannote[2129].start 12855.30471875
transcript.pyannote[2129].end 12858.42659375
transcript.pyannote[2130].speaker SPEAKER_15
transcript.pyannote[2130].start 12855.32159375
transcript.pyannote[2130].end 12855.42284375
transcript.pyannote[2131].speaker SPEAKER_15
transcript.pyannote[2131].start 12855.43971875
transcript.pyannote[2131].end 12855.49034375
transcript.pyannote[2132].speaker SPEAKER_15
transcript.pyannote[2132].start 12858.29159375
transcript.pyannote[2132].end 12858.84846875
transcript.pyannote[2133].speaker SPEAKER_24
transcript.pyannote[2133].start 12858.59534375
transcript.pyannote[2133].end 12858.61221875
transcript.pyannote[2134].speaker SPEAKER_24
transcript.pyannote[2134].start 12858.79784375
transcript.pyannote[2134].end 12865.63221875
transcript.pyannote[2135].speaker SPEAKER_18
transcript.pyannote[2135].start 12858.84846875
transcript.pyannote[2135].end 12858.86534375
transcript.pyannote[2136].speaker SPEAKER_24
transcript.pyannote[2136].start 12866.08784375
transcript.pyannote[2136].end 12876.68534375
transcript.pyannote[2137].speaker SPEAKER_25
transcript.pyannote[2137].start 12877.00596875
transcript.pyannote[2137].end 12877.05659375
transcript.pyannote[2138].speaker SPEAKER_24
transcript.pyannote[2138].start 12877.10721875
transcript.pyannote[2138].end 12878.64284375
transcript.pyannote[2139].speaker SPEAKER_24
transcript.pyannote[2139].start 12878.96346875
transcript.pyannote[2139].end 12887.51909375
transcript.pyannote[2140].speaker SPEAKER_24
transcript.pyannote[2140].start 12888.02534375
transcript.pyannote[2140].end 12890.40471875
transcript.pyannote[2141].speaker SPEAKER_24
transcript.pyannote[2141].start 12890.89409375
transcript.pyannote[2141].end 12893.23971875
transcript.pyannote[2142].speaker SPEAKER_18
transcript.pyannote[2142].start 12893.23971875
transcript.pyannote[2142].end 12893.57721875
transcript.pyannote[2143].speaker SPEAKER_18
transcript.pyannote[2143].start 12893.61096875
transcript.pyannote[2143].end 12900.86721875
transcript.pyannote[2144].speaker SPEAKER_24
transcript.pyannote[2144].start 12897.37409375
transcript.pyannote[2144].end 12897.64409375
transcript.pyannote[2145].speaker SPEAKER_18
transcript.pyannote[2145].start 12901.13721875
transcript.pyannote[2145].end 12906.26721875
transcript.pyannote[2146].speaker SPEAKER_24
transcript.pyannote[2146].start 12905.17034375
transcript.pyannote[2146].end 12905.69346875
transcript.pyannote[2147].speaker SPEAKER_24
transcript.pyannote[2147].start 12906.11534375
transcript.pyannote[2147].end 12918.38346875
transcript.pyannote[2148].speaker SPEAKER_25
transcript.pyannote[2148].start 12918.34971875
transcript.pyannote[2148].end 12918.36659375
transcript.pyannote[2149].speaker SPEAKER_25
transcript.pyannote[2149].start 12918.38346875
transcript.pyannote[2149].end 12918.65346875
transcript.pyannote[2150].speaker SPEAKER_24
transcript.pyannote[2150].start 12918.65346875
transcript.pyannote[2150].end 12932.59221875
transcript.pyannote[2151].speaker SPEAKER_24
transcript.pyannote[2151].start 12933.23346875
transcript.pyannote[2151].end 12934.65096875
transcript.pyannote[2152].speaker SPEAKER_24
transcript.pyannote[2152].start 12934.90409375
transcript.pyannote[2152].end 12937.08096875
transcript.pyannote[2153].speaker SPEAKER_24
transcript.pyannote[2153].start 12937.36784375
transcript.pyannote[2153].end 12938.11034375
transcript.pyannote[2154].speaker SPEAKER_18
transcript.pyannote[2154].start 12938.17784375
transcript.pyannote[2154].end 12938.51534375
transcript.pyannote[2155].speaker SPEAKER_18
transcript.pyannote[2155].start 12938.97096875
transcript.pyannote[2155].end 12939.03846875
transcript.pyannote[2156].speaker SPEAKER_24
transcript.pyannote[2156].start 12939.51096875
transcript.pyannote[2156].end 12940.67534375
transcript.pyannote[2157].speaker SPEAKER_24
transcript.pyannote[2157].start 12942.14346875
transcript.pyannote[2157].end 12943.30784375
transcript.pyannote[2158].speaker SPEAKER_18
transcript.pyannote[2158].start 12944.57346875
transcript.pyannote[2158].end 12947.03721875
transcript.pyannote[2159].speaker SPEAKER_24
transcript.pyannote[2159].start 12945.36659375
transcript.pyannote[2159].end 12947.02034375
transcript.pyannote[2160].speaker SPEAKER_24
transcript.pyannote[2160].start 12947.03721875
transcript.pyannote[2160].end 12947.10471875
transcript.pyannote[2161].speaker SPEAKER_18
transcript.pyannote[2161].start 12947.10471875
transcript.pyannote[2161].end 12947.27346875
transcript.pyannote[2162].speaker SPEAKER_24
transcript.pyannote[2162].start 12947.27346875
transcript.pyannote[2162].end 12947.30721875
transcript.pyannote[2163].speaker SPEAKER_18
transcript.pyannote[2163].start 12947.30721875
transcript.pyannote[2163].end 12949.95659375
transcript.pyannote[2164].speaker SPEAKER_24
transcript.pyannote[2164].start 12947.32409375
transcript.pyannote[2164].end 12951.98159375
transcript.pyannote[2165].speaker SPEAKER_18
transcript.pyannote[2165].start 12950.37846875
transcript.pyannote[2165].end 12950.90159375
transcript.pyannote[2166].speaker SPEAKER_18
transcript.pyannote[2166].start 12950.98596875
transcript.pyannote[2166].end 12951.03659375
transcript.pyannote[2167].speaker SPEAKER_18
transcript.pyannote[2167].start 12951.23909375
transcript.pyannote[2167].end 12951.44159375
transcript.pyannote[2168].speaker SPEAKER_18
transcript.pyannote[2168].start 12951.91409375
transcript.pyannote[2168].end 12958.96784375
transcript.pyannote[2169].speaker SPEAKER_24
transcript.pyannote[2169].start 12953.95596875
transcript.pyannote[2169].end 12954.46221875
transcript.pyannote[2170].speaker SPEAKER_25
transcript.pyannote[2170].start 12958.46159375
transcript.pyannote[2170].end 12958.51221875
transcript.pyannote[2171].speaker SPEAKER_24
transcript.pyannote[2171].start 12958.51221875
transcript.pyannote[2171].end 12958.56284375
transcript.pyannote[2172].speaker SPEAKER_25
transcript.pyannote[2172].start 12958.56284375
transcript.pyannote[2172].end 12958.61346875
transcript.pyannote[2173].speaker SPEAKER_24
transcript.pyannote[2173].start 12958.61346875
transcript.pyannote[2173].end 12961.19534375
transcript.pyannote[2174].speaker SPEAKER_18
transcript.pyannote[2174].start 12960.57096875
transcript.pyannote[2174].end 12967.16909375
transcript.pyannote[2175].speaker SPEAKER_24
transcript.pyannote[2175].start 12964.67159375
transcript.pyannote[2175].end 12969.17721875
transcript.pyannote[2176].speaker SPEAKER_18
transcript.pyannote[2176].start 12967.30409375
transcript.pyannote[2176].end 12969.09284375
transcript.pyannote[2177].speaker SPEAKER_18
transcript.pyannote[2177].start 12969.17721875
transcript.pyannote[2177].end 12969.29534375
transcript.pyannote[2178].speaker SPEAKER_18
transcript.pyannote[2178].start 12969.32909375
transcript.pyannote[2178].end 12971.03346875
transcript.pyannote[2179].speaker SPEAKER_24
transcript.pyannote[2179].start 12970.47659375
transcript.pyannote[2179].end 12982.64346875
transcript.pyannote[2180].speaker SPEAKER_18
transcript.pyannote[2180].start 12972.77159375
transcript.pyannote[2180].end 12973.26096875
transcript.pyannote[2181].speaker SPEAKER_18
transcript.pyannote[2181].start 12975.31971875
transcript.pyannote[2181].end 12975.62346875
transcript.pyannote[2182].speaker SPEAKER_07
transcript.pyannote[2182].start 12982.08659375
transcript.pyannote[2182].end 12982.12034375
transcript.pyannote[2183].speaker SPEAKER_07
transcript.pyannote[2183].start 12982.32284375
transcript.pyannote[2183].end 12983.03159375
transcript.pyannote[2184].speaker SPEAKER_24
transcript.pyannote[2184].start 12983.03159375
transcript.pyannote[2184].end 12984.06096875
transcript.pyannote[2185].speaker SPEAKER_18
transcript.pyannote[2185].start 12983.28471875
transcript.pyannote[2185].end 12983.41971875
transcript.pyannote[2186].speaker SPEAKER_07
transcript.pyannote[2186].start 12983.41971875
transcript.pyannote[2186].end 12983.50409375
transcript.pyannote[2187].speaker SPEAKER_18
transcript.pyannote[2187].start 12983.50409375
transcript.pyannote[2187].end 12983.52096875
transcript.pyannote[2188].speaker SPEAKER_18
transcript.pyannote[2188].start 12984.06096875
transcript.pyannote[2188].end 12984.07784375
transcript.pyannote[2189].speaker SPEAKER_18
transcript.pyannote[2189].start 12984.14534375
transcript.pyannote[2189].end 12984.16221875
transcript.pyannote[2190].speaker SPEAKER_07
transcript.pyannote[2190].start 12984.16221875
transcript.pyannote[2190].end 12984.36471875
transcript.pyannote[2191].speaker SPEAKER_07
transcript.pyannote[2191].start 12985.76534375
transcript.pyannote[2191].end 12988.36409375
transcript.pyannote[2192].speaker SPEAKER_07
transcript.pyannote[2192].start 12990.91221875
transcript.pyannote[2192].end 12993.32534375
transcript.pyannote[2193].speaker SPEAKER_15
transcript.pyannote[2193].start 13001.08784375
transcript.pyannote[2193].end 13003.82159375
transcript.pyannote[2194].speaker SPEAKER_15
transcript.pyannote[2194].start 13005.22221875
transcript.pyannote[2194].end 13006.09971875
transcript.pyannote[2195].speaker SPEAKER_18
transcript.pyannote[2195].start 13008.34409375
transcript.pyannote[2195].end 13008.90096875
transcript.pyannote[2196].speaker SPEAKER_15
transcript.pyannote[2196].start 13008.90096875
transcript.pyannote[2196].end 13008.93471875
transcript.pyannote[2197].speaker SPEAKER_18
transcript.pyannote[2197].start 13009.44096875
transcript.pyannote[2197].end 13009.45784375
transcript.pyannote[2198].speaker SPEAKER_15
transcript.pyannote[2198].start 13009.45784375
transcript.pyannote[2198].end 13019.09346875
transcript.pyannote[2199].speaker SPEAKER_15
transcript.pyannote[2199].start 13019.43096875
transcript.pyannote[2199].end 13038.14534375
transcript.pyannote[2200].speaker SPEAKER_15
transcript.pyannote[2200].start 13038.29721875
transcript.pyannote[2200].end 13044.22034375
transcript.pyannote[2201].speaker SPEAKER_15
transcript.pyannote[2201].start 13044.37221875
transcript.pyannote[2201].end 13098.81096875
transcript.pyannote[2202].speaker SPEAKER_00
transcript.pyannote[2202].start 13047.74721875
transcript.pyannote[2202].end 13048.28721875
transcript.pyannote[2203].speaker SPEAKER_15
transcript.pyannote[2203].start 13099.70534375
transcript.pyannote[2203].end 13100.14409375
transcript.pyannote[2204].speaker SPEAKER_15
transcript.pyannote[2204].start 13100.86971875
transcript.pyannote[2204].end 13103.56971875
transcript.pyannote[2205].speaker SPEAKER_15
transcript.pyannote[2205].start 13104.32909375
transcript.pyannote[2205].end 13106.65784375
transcript.pyannote[2206].speaker SPEAKER_18
transcript.pyannote[2206].start 13107.31596875
transcript.pyannote[2206].end 13107.87284375
transcript.pyannote[2207].speaker SPEAKER_15
transcript.pyannote[2207].start 13108.12596875
transcript.pyannote[2207].end 13128.34221875
transcript.pyannote[2208].speaker SPEAKER_15
transcript.pyannote[2208].start 13128.59534375
transcript.pyannote[2208].end 13145.92596875
transcript.pyannote[2209].speaker SPEAKER_25
transcript.pyannote[2209].start 13133.06721875
transcript.pyannote[2209].end 13133.16846875
transcript.pyannote[2210].speaker SPEAKER_37
transcript.pyannote[2210].start 13133.16846875
transcript.pyannote[2210].end 13133.26971875
transcript.pyannote[2211].speaker SPEAKER_25
transcript.pyannote[2211].start 13133.26971875
transcript.pyannote[2211].end 13133.42159375
transcript.pyannote[2212].speaker SPEAKER_15
transcript.pyannote[2212].start 13146.01034375
transcript.pyannote[2212].end 13148.49096875
transcript.pyannote[2213].speaker SPEAKER_15
transcript.pyannote[2213].start 13149.38534375
transcript.pyannote[2213].end 13156.47284375
transcript.pyannote[2214].speaker SPEAKER_18
transcript.pyannote[2214].start 13153.46909375
transcript.pyannote[2214].end 13153.87409375
transcript.pyannote[2215].speaker SPEAKER_18
transcript.pyannote[2215].start 13156.47284375
transcript.pyannote[2215].end 13157.35034375
transcript.pyannote[2216].speaker SPEAKER_15
transcript.pyannote[2216].start 13156.89471875
transcript.pyannote[2216].end 13157.14784375
transcript.pyannote[2217].speaker SPEAKER_15
transcript.pyannote[2217].start 13157.35034375
transcript.pyannote[2217].end 13158.02534375
transcript.pyannote[2218].speaker SPEAKER_18
transcript.pyannote[2218].start 13158.02534375
transcript.pyannote[2218].end 13158.98721875
transcript.pyannote[2219].speaker SPEAKER_18
transcript.pyannote[2219].start 13160.03346875
transcript.pyannote[2219].end 13167.50909375
transcript.pyannote[2220].speaker SPEAKER_18
transcript.pyannote[2220].start 13168.23471875
transcript.pyannote[2220].end 13168.75784375
transcript.pyannote[2221].speaker SPEAKER_15
transcript.pyannote[2221].start 13168.42034375
transcript.pyannote[2221].end 13168.79159375
transcript.pyannote[2222].speaker SPEAKER_18
transcript.pyannote[2222].start 13168.79159375
transcript.pyannote[2222].end 13168.96034375
transcript.pyannote[2223].speaker SPEAKER_15
transcript.pyannote[2223].start 13168.96034375
transcript.pyannote[2223].end 13169.17971875
transcript.pyannote[2224].speaker SPEAKER_18
transcript.pyannote[2224].start 13169.17971875
transcript.pyannote[2224].end 13169.68596875
transcript.pyannote[2225].speaker SPEAKER_15
transcript.pyannote[2225].start 13169.68596875
transcript.pyannote[2225].end 13178.56221875
transcript.pyannote[2226].speaker SPEAKER_15
transcript.pyannote[2226].start 13179.27096875
transcript.pyannote[2226].end 13185.80159375
transcript.pyannote[2227].speaker SPEAKER_25
transcript.pyannote[2227].start 13184.89034375
transcript.pyannote[2227].end 13184.97471875
transcript.pyannote[2228].speaker SPEAKER_25
transcript.pyannote[2228].start 13185.83534375
transcript.pyannote[2228].end 13186.07159375
transcript.pyannote[2229].speaker SPEAKER_15
transcript.pyannote[2229].start 13186.69596875
transcript.pyannote[2229].end 13193.51346875
transcript.pyannote[2230].speaker SPEAKER_15
transcript.pyannote[2230].start 13194.07034375
transcript.pyannote[2230].end 13206.65909375
transcript.pyannote[2231].speaker SPEAKER_25
transcript.pyannote[2231].start 13206.65909375
transcript.pyannote[2231].end 13207.11471875
transcript.pyannote[2232].speaker SPEAKER_15
transcript.pyannote[2232].start 13207.55346875
transcript.pyannote[2232].end 13229.89596875
transcript.pyannote[2233].speaker SPEAKER_00
transcript.pyannote[2233].start 13222.58909375
transcript.pyannote[2233].end 13222.65659375
transcript.pyannote[2234].speaker SPEAKER_25
transcript.pyannote[2234].start 13222.65659375
transcript.pyannote[2234].end 13222.75784375
transcript.pyannote[2235].speaker SPEAKER_00
transcript.pyannote[2235].start 13222.75784375
transcript.pyannote[2235].end 13222.94346875
transcript.pyannote[2236].speaker SPEAKER_37
transcript.pyannote[2236].start 13229.72721875
transcript.pyannote[2236].end 13230.11534375
transcript.pyannote[2237].speaker SPEAKER_15
transcript.pyannote[2237].start 13230.08159375
transcript.pyannote[2237].end 13234.48596875
transcript.pyannote[2238].speaker SPEAKER_15
transcript.pyannote[2238].start 13235.00909375
transcript.pyannote[2238].end 13242.36659375
transcript.pyannote[2239].speaker SPEAKER_18
transcript.pyannote[2239].start 13242.36659375
transcript.pyannote[2239].end 13243.90221875
transcript.pyannote[2240].speaker SPEAKER_15
transcript.pyannote[2240].start 13242.38346875
transcript.pyannote[2240].end 13243.66596875
transcript.pyannote[2241].speaker SPEAKER_15
transcript.pyannote[2241].start 13243.90221875
transcript.pyannote[2241].end 13243.91909375
transcript.pyannote[2242].speaker SPEAKER_18
transcript.pyannote[2242].start 13244.56034375
transcript.pyannote[2242].end 13246.72034375
transcript.pyannote[2243].speaker SPEAKER_15
transcript.pyannote[2243].start 13245.69096875
transcript.pyannote[2243].end 13245.94409375
transcript.pyannote[2244].speaker SPEAKER_18
transcript.pyannote[2244].start 13248.93096875
transcript.pyannote[2244].end 13252.86284375
transcript.pyannote[2245].speaker SPEAKER_15
transcript.pyannote[2245].start 13251.17534375
transcript.pyannote[2245].end 13252.33971875
transcript.pyannote[2246].speaker SPEAKER_18
transcript.pyannote[2246].start 13254.39846875
transcript.pyannote[2246].end 13255.34346875
transcript.pyannote[2247].speaker SPEAKER_18
transcript.pyannote[2247].start 13255.95096875
transcript.pyannote[2247].end 13258.66784375
transcript.pyannote[2248].speaker SPEAKER_18
transcript.pyannote[2248].start 13258.73534375
transcript.pyannote[2248].end 13259.66346875
transcript.pyannote[2249].speaker SPEAKER_18
transcript.pyannote[2249].start 13260.79409375
transcript.pyannote[2249].end 13262.00909375
transcript.pyannote[2250].speaker SPEAKER_18
transcript.pyannote[2250].start 13262.32971875
transcript.pyannote[2250].end 13263.96659375
transcript.pyannote[2251].speaker SPEAKER_15
transcript.pyannote[2251].start 13263.96659375
transcript.pyannote[2251].end 13274.63159375
transcript.pyannote[2252].speaker SPEAKER_11
transcript.pyannote[2252].start 13268.57346875
transcript.pyannote[2252].end 13268.94471875
transcript.pyannote[2253].speaker SPEAKER_15
transcript.pyannote[2253].start 13275.25596875
transcript.pyannote[2253].end 13275.76221875
transcript.pyannote[2254].speaker SPEAKER_15
transcript.pyannote[2254].start 13276.11659375
transcript.pyannote[2254].end 13289.54909375
transcript.pyannote[2255].speaker SPEAKER_25
transcript.pyannote[2255].start 13285.90409375
transcript.pyannote[2255].end 13286.95034375
transcript.pyannote[2256].speaker SPEAKER_11
transcript.pyannote[2256].start 13286.95034375
transcript.pyannote[2256].end 13286.96721875
transcript.pyannote[2257].speaker SPEAKER_25
transcript.pyannote[2257].start 13289.54909375
transcript.pyannote[2257].end 13289.92034375
transcript.pyannote[2258].speaker SPEAKER_15
transcript.pyannote[2258].start 13290.15659375
transcript.pyannote[2258].end 13298.93159375
transcript.pyannote[2259].speaker SPEAKER_15
transcript.pyannote[2259].start 13299.52221875
transcript.pyannote[2259].end 13302.61034375
transcript.pyannote[2260].speaker SPEAKER_15
transcript.pyannote[2260].start 13303.03221875
transcript.pyannote[2260].end 13308.02721875
transcript.pyannote[2261].speaker SPEAKER_18
transcript.pyannote[2261].start 13308.02721875
transcript.pyannote[2261].end 13308.22971875
transcript.pyannote[2262].speaker SPEAKER_15
transcript.pyannote[2262].start 13308.22971875
transcript.pyannote[2262].end 13308.36471875
transcript.pyannote[2263].speaker SPEAKER_18
transcript.pyannote[2263].start 13308.36471875
transcript.pyannote[2263].end 13308.38159375
transcript.pyannote[2264].speaker SPEAKER_18
transcript.pyannote[2264].start 13309.00596875
transcript.pyannote[2264].end 13309.15784375
transcript.pyannote[2265].speaker SPEAKER_18
transcript.pyannote[2265].start 13309.44471875
transcript.pyannote[2265].end 13315.97534375
transcript.pyannote[2266].speaker SPEAKER_15
transcript.pyannote[2266].start 13315.97534375
transcript.pyannote[2266].end 13320.12659375
transcript.pyannote[2267].speaker SPEAKER_15
transcript.pyannote[2267].start 13320.41346875
transcript.pyannote[2267].end 13325.27346875
transcript.pyannote[2268].speaker SPEAKER_18
transcript.pyannote[2268].start 13322.47221875
transcript.pyannote[2268].end 13322.74221875
transcript.pyannote[2269].speaker SPEAKER_18
transcript.pyannote[2269].start 13325.27346875
transcript.pyannote[2269].end 13328.10846875
transcript.pyannote[2270].speaker SPEAKER_15
transcript.pyannote[2270].start 13328.10846875
transcript.pyannote[2270].end 13356.76221875
transcript.pyannote[2271].speaker SPEAKER_18
transcript.pyannote[2271].start 13328.12534375
transcript.pyannote[2271].end 13328.20971875
transcript.pyannote[2272].speaker SPEAKER_15
transcript.pyannote[2272].start 13357.31909375
transcript.pyannote[2272].end 13358.58471875
transcript.pyannote[2273].speaker SPEAKER_15
transcript.pyannote[2273].start 13358.93909375
transcript.pyannote[2273].end 13361.84159375
transcript.pyannote[2274].speaker SPEAKER_15
transcript.pyannote[2274].start 13362.14534375
transcript.pyannote[2274].end 13368.06846875
transcript.pyannote[2275].speaker SPEAKER_15
transcript.pyannote[2275].start 13368.74346875
transcript.pyannote[2275].end 13375.51034375
transcript.pyannote[2276].speaker SPEAKER_15
transcript.pyannote[2276].start 13376.03346875
transcript.pyannote[2276].end 13376.97846875
transcript.pyannote[2277].speaker SPEAKER_18
transcript.pyannote[2277].start 13376.30346875
transcript.pyannote[2277].end 13376.59034375
transcript.pyannote[2278].speaker SPEAKER_18
transcript.pyannote[2278].start 13376.60721875
transcript.pyannote[2278].end 13376.64096875
transcript.pyannote[2279].speaker SPEAKER_18
transcript.pyannote[2279].start 13376.97846875
transcript.pyannote[2279].end 13377.53534375
transcript.pyannote[2280].speaker SPEAKER_15
transcript.pyannote[2280].start 13377.53534375
transcript.pyannote[2280].end 13377.63659375
transcript.pyannote[2281].speaker SPEAKER_18
transcript.pyannote[2281].start 13377.63659375
transcript.pyannote[2281].end 13382.24346875
transcript.pyannote[2282].speaker SPEAKER_15
transcript.pyannote[2282].start 13377.65346875
transcript.pyannote[2282].end 13379.08784375
transcript.pyannote[2283].speaker SPEAKER_15
transcript.pyannote[2283].start 13381.97346875
transcript.pyannote[2283].end 13385.44971875
transcript.pyannote[2284].speaker SPEAKER_18
transcript.pyannote[2284].start 13384.26846875
transcript.pyannote[2284].end 13386.71534375
transcript.pyannote[2285].speaker SPEAKER_18
transcript.pyannote[2285].start 13386.96846875
transcript.pyannote[2285].end 13386.98534375
transcript.pyannote[2286].speaker SPEAKER_15
transcript.pyannote[2286].start 13386.98534375
transcript.pyannote[2286].end 13389.85409375
transcript.pyannote[2287].speaker SPEAKER_18
transcript.pyannote[2287].start 13388.57159375
transcript.pyannote[2287].end 13388.94284375
transcript.pyannote[2288].speaker SPEAKER_18
transcript.pyannote[2288].start 13389.85409375
transcript.pyannote[2288].end 13391.94659375
transcript.pyannote[2289].speaker SPEAKER_15
transcript.pyannote[2289].start 13390.79909375
transcript.pyannote[2289].end 13393.22909375
transcript.pyannote[2290].speaker SPEAKER_15
transcript.pyannote[2290].start 13393.39784375
transcript.pyannote[2290].end 13397.63346875
transcript.pyannote[2291].speaker SPEAKER_15
transcript.pyannote[2291].start 13397.86971875
transcript.pyannote[2291].end 13435.04534375
transcript.pyannote[2292].speaker SPEAKER_18
transcript.pyannote[2292].start 13434.06659375
transcript.pyannote[2292].end 13434.47159375
transcript.pyannote[2293].speaker SPEAKER_18
transcript.pyannote[2293].start 13435.04534375
transcript.pyannote[2293].end 13435.97346875
transcript.pyannote[2294].speaker SPEAKER_15
transcript.pyannote[2294].start 13435.97346875
transcript.pyannote[2294].end 13437.15471875
transcript.pyannote[2295].speaker SPEAKER_15
transcript.pyannote[2295].start 13437.22221875
transcript.pyannote[2295].end 13440.86721875
transcript.pyannote[2296].speaker SPEAKER_07
transcript.pyannote[2296].start 13440.86721875
transcript.pyannote[2296].end 13440.90096875
transcript.pyannote[2297].speaker SPEAKER_04
transcript.pyannote[2297].start 13441.01909375
transcript.pyannote[2297].end 13441.93034375
transcript.pyannote[2298].speaker SPEAKER_07
transcript.pyannote[2298].start 13441.96409375
transcript.pyannote[2298].end 13444.36034375
transcript.pyannote[2299].speaker SPEAKER_07
transcript.pyannote[2299].start 13446.53721875
transcript.pyannote[2299].end 13449.52409375
transcript.pyannote[2300].speaker SPEAKER_11
transcript.pyannote[2300].start 13456.34159375
transcript.pyannote[2300].end 13458.18096875
transcript.pyannote[2301].speaker SPEAKER_07
transcript.pyannote[2301].start 13458.56909375
transcript.pyannote[2301].end 13459.73346875
transcript.pyannote[2302].speaker SPEAKER_11
transcript.pyannote[2302].start 13462.90596875
transcript.pyannote[2302].end 13510.62846875
transcript.pyannote[2303].speaker SPEAKER_00
transcript.pyannote[2303].start 13478.05971875
transcript.pyannote[2303].end 13478.19471875
transcript.pyannote[2304].speaker SPEAKER_25
transcript.pyannote[2304].start 13511.16846875
transcript.pyannote[2304].end 13512.28221875
transcript.pyannote[2305].speaker SPEAKER_25
transcript.pyannote[2305].start 13513.21034375
transcript.pyannote[2305].end 13513.32846875
transcript.pyannote[2306].speaker SPEAKER_25
transcript.pyannote[2306].start 13513.85159375
transcript.pyannote[2306].end 13514.94846875
transcript.pyannote[2307].speaker SPEAKER_11
transcript.pyannote[2307].start 13514.94846875
transcript.pyannote[2307].end 13519.74096875
transcript.pyannote[2308].speaker SPEAKER_25
transcript.pyannote[2308].start 13514.98221875
transcript.pyannote[2308].end 13514.99909375
transcript.pyannote[2309].speaker SPEAKER_25
transcript.pyannote[2309].start 13515.04971875
transcript.pyannote[2309].end 13515.11721875
transcript.pyannote[2310].speaker SPEAKER_25
transcript.pyannote[2310].start 13515.31971875
transcript.pyannote[2310].end 13515.33659375
transcript.pyannote[2311].speaker SPEAKER_18
transcript.pyannote[2311].start 13515.33659375
transcript.pyannote[2311].end 13515.42096875
transcript.pyannote[2312].speaker SPEAKER_25
transcript.pyannote[2312].start 13515.42096875
transcript.pyannote[2312].end 13515.45471875
transcript.pyannote[2313].speaker SPEAKER_18
transcript.pyannote[2313].start 13518.20534375
transcript.pyannote[2313].end 13521.34409375
transcript.pyannote[2314].speaker SPEAKER_18
transcript.pyannote[2314].start 13521.36096875
transcript.pyannote[2314].end 13521.37784375
transcript.pyannote[2315].speaker SPEAKER_11
transcript.pyannote[2315].start 13521.37784375
transcript.pyannote[2315].end 13524.90471875
transcript.pyannote[2316].speaker SPEAKER_18
transcript.pyannote[2316].start 13522.57596875
transcript.pyannote[2316].end 13524.11159375
transcript.pyannote[2317].speaker SPEAKER_18
transcript.pyannote[2317].start 13525.03971875
transcript.pyannote[2317].end 13525.63034375
transcript.pyannote[2318].speaker SPEAKER_18
transcript.pyannote[2318].start 13526.05221875
transcript.pyannote[2318].end 13529.32596875
transcript.pyannote[2319].speaker SPEAKER_11
transcript.pyannote[2319].start 13529.32596875
transcript.pyannote[2319].end 13531.11471875
transcript.pyannote[2320].speaker SPEAKER_18
transcript.pyannote[2320].start 13530.64221875
transcript.pyannote[2320].end 13533.93284375
transcript.pyannote[2321].speaker SPEAKER_11
transcript.pyannote[2321].start 13533.93284375
transcript.pyannote[2321].end 13544.91846875
transcript.pyannote[2322].speaker SPEAKER_11
transcript.pyannote[2322].start 13546.13346875
transcript.pyannote[2322].end 13547.06159375
transcript.pyannote[2323].speaker SPEAKER_04
transcript.pyannote[2323].start 13549.74471875
transcript.pyannote[2323].end 13549.99784375
transcript.pyannote[2324].speaker SPEAKER_04
transcript.pyannote[2324].start 13550.63909375
transcript.pyannote[2324].end 13550.87534375
transcript.pyannote[2325].speaker SPEAKER_11
transcript.pyannote[2325].start 13550.87534375
transcript.pyannote[2325].end 13632.66846875
transcript.pyannote[2326].speaker SPEAKER_25
transcript.pyannote[2326].start 13558.36784375
transcript.pyannote[2326].end 13558.58721875
transcript.pyannote[2327].speaker SPEAKER_00
transcript.pyannote[2327].start 13580.89596875
transcript.pyannote[2327].end 13581.40221875
transcript.pyannote[2328].speaker SPEAKER_00
transcript.pyannote[2328].start 13590.07596875
transcript.pyannote[2328].end 13590.27846875
transcript.pyannote[2329].speaker SPEAKER_25
transcript.pyannote[2329].start 13590.27846875
transcript.pyannote[2329].end 13590.34596875
transcript.pyannote[2330].speaker SPEAKER_00
transcript.pyannote[2330].start 13590.34596875
transcript.pyannote[2330].end 13590.56534375
transcript.pyannote[2331].speaker SPEAKER_00
transcript.pyannote[2331].start 13591.56096875
transcript.pyannote[2331].end 13591.72971875
transcript.pyannote[2332].speaker SPEAKER_09
transcript.pyannote[2332].start 13591.72971875
transcript.pyannote[2332].end 13591.78034375
transcript.pyannote[2333].speaker SPEAKER_00
transcript.pyannote[2333].start 13591.78034375
transcript.pyannote[2333].end 13591.86471875
transcript.pyannote[2334].speaker SPEAKER_03
transcript.pyannote[2334].start 13602.47909375
transcript.pyannote[2334].end 13602.51284375
transcript.pyannote[2335].speaker SPEAKER_03
transcript.pyannote[2335].start 13611.11909375
transcript.pyannote[2335].end 13611.16971875
transcript.pyannote[2336].speaker SPEAKER_15
transcript.pyannote[2336].start 13611.16971875
transcript.pyannote[2336].end 13611.18659375
transcript.pyannote[2337].speaker SPEAKER_04
transcript.pyannote[2337].start 13615.38846875
transcript.pyannote[2337].end 13616.24909375
transcript.pyannote[2338].speaker SPEAKER_00
transcript.pyannote[2338].start 13616.24909375
transcript.pyannote[2338].end 13616.26596875
transcript.pyannote[2339].speaker SPEAKER_04
transcript.pyannote[2339].start 13616.38409375
transcript.pyannote[2339].end 13616.45159375
transcript.pyannote[2340].speaker SPEAKER_25
transcript.pyannote[2340].start 13624.46721875
transcript.pyannote[2340].end 13624.55159375
transcript.pyannote[2341].speaker SPEAKER_25
transcript.pyannote[2341].start 13624.88909375
transcript.pyannote[2341].end 13625.36159375
transcript.pyannote[2342].speaker SPEAKER_00
transcript.pyannote[2342].start 13625.36159375
transcript.pyannote[2342].end 13625.37846875
transcript.pyannote[2343].speaker SPEAKER_11
transcript.pyannote[2343].start 13633.05659375
transcript.pyannote[2343].end 13634.59221875
transcript.pyannote[2344].speaker SPEAKER_11
transcript.pyannote[2344].start 13635.08159375
transcript.pyannote[2344].end 13636.31346875
transcript.pyannote[2345].speaker SPEAKER_18
transcript.pyannote[2345].start 13637.05596875
transcript.pyannote[2345].end 13637.39346875
transcript.pyannote[2346].speaker SPEAKER_18
transcript.pyannote[2346].start 13638.20346875
transcript.pyannote[2346].end 13638.60846875
transcript.pyannote[2347].speaker SPEAKER_18
transcript.pyannote[2347].start 13638.84471875
transcript.pyannote[2347].end 13639.75596875
transcript.pyannote[2348].speaker SPEAKER_18
transcript.pyannote[2348].start 13640.12721875
transcript.pyannote[2348].end 13640.26221875
transcript.pyannote[2349].speaker SPEAKER_18
transcript.pyannote[2349].start 13640.90346875
transcript.pyannote[2349].end 13641.10596875
transcript.pyannote[2350].speaker SPEAKER_18
transcript.pyannote[2350].start 13641.51096875
transcript.pyannote[2350].end 13643.56971875
transcript.pyannote[2351].speaker SPEAKER_11
transcript.pyannote[2351].start 13643.56971875
transcript.pyannote[2351].end 13644.44721875
transcript.pyannote[2352].speaker SPEAKER_18
transcript.pyannote[2352].start 13644.44721875
transcript.pyannote[2352].end 13644.63284375
transcript.pyannote[2353].speaker SPEAKER_18
transcript.pyannote[2353].start 13646.30346875
transcript.pyannote[2353].end 13646.77596875
transcript.pyannote[2354].speaker SPEAKER_11
transcript.pyannote[2354].start 13648.17659375
transcript.pyannote[2354].end 13650.04971875
transcript.pyannote[2355].speaker SPEAKER_11
transcript.pyannote[2355].start 13650.62346875
transcript.pyannote[2355].end 13654.53846875
transcript.pyannote[2356].speaker SPEAKER_18
transcript.pyannote[2356].start 13652.22659375
transcript.pyannote[2356].end 13652.24346875
transcript.pyannote[2357].speaker SPEAKER_18
transcript.pyannote[2357].start 13652.34471875
transcript.pyannote[2357].end 13652.36159375
transcript.pyannote[2358].speaker SPEAKER_18
transcript.pyannote[2358].start 13653.96471875
transcript.pyannote[2358].end 13656.25971875
transcript.pyannote[2359].speaker SPEAKER_11
transcript.pyannote[2359].start 13654.97721875
transcript.pyannote[2359].end 13655.93909375
transcript.pyannote[2360].speaker SPEAKER_11
transcript.pyannote[2360].start 13656.20909375
transcript.pyannote[2360].end 13659.53346875
transcript.pyannote[2361].speaker SPEAKER_18
transcript.pyannote[2361].start 13659.14534375
transcript.pyannote[2361].end 13659.70221875
transcript.pyannote[2362].speaker SPEAKER_11
transcript.pyannote[2362].start 13659.90471875
transcript.pyannote[2362].end 13662.57096875
transcript.pyannote[2363].speaker SPEAKER_11
transcript.pyannote[2363].start 13662.97596875
transcript.pyannote[2363].end 13666.11471875
transcript.pyannote[2364].speaker SPEAKER_25
transcript.pyannote[2364].start 13666.11471875
transcript.pyannote[2364].end 13666.36784375
transcript.pyannote[2365].speaker SPEAKER_11
transcript.pyannote[2365].start 13666.31721875
transcript.pyannote[2365].end 13676.83034375
transcript.pyannote[2366].speaker SPEAKER_11
transcript.pyannote[2366].start 13677.55596875
transcript.pyannote[2366].end 13679.88471875
transcript.pyannote[2367].speaker SPEAKER_11
transcript.pyannote[2367].start 13680.13784375
transcript.pyannote[2367].end 13681.84221875
transcript.pyannote[2368].speaker SPEAKER_11
transcript.pyannote[2368].start 13682.01096875
transcript.pyannote[2368].end 13689.11534375
transcript.pyannote[2369].speaker SPEAKER_11
transcript.pyannote[2369].start 13689.94221875
transcript.pyannote[2369].end 13701.48471875
transcript.pyannote[2370].speaker SPEAKER_18
transcript.pyannote[2370].start 13701.60284375
transcript.pyannote[2370].end 13702.27784375
transcript.pyannote[2371].speaker SPEAKER_11
transcript.pyannote[2371].start 13702.27784375
transcript.pyannote[2371].end 13719.00096875
transcript.pyannote[2372].speaker SPEAKER_18
transcript.pyannote[2372].start 13704.74159375
transcript.pyannote[2372].end 13704.99471875
transcript.pyannote[2373].speaker SPEAKER_04
transcript.pyannote[2373].start 13719.00096875
transcript.pyannote[2373].end 13719.30471875
transcript.pyannote[2374].speaker SPEAKER_11
transcript.pyannote[2374].start 13720.03034375
transcript.pyannote[2374].end 13723.40534375
transcript.pyannote[2375].speaker SPEAKER_11
transcript.pyannote[2375].start 13723.87784375
transcript.pyannote[2375].end 13728.43409375
transcript.pyannote[2376].speaker SPEAKER_11
transcript.pyannote[2376].start 13728.80534375
transcript.pyannote[2376].end 13737.27659375
transcript.pyannote[2377].speaker SPEAKER_11
transcript.pyannote[2377].start 13737.78284375
transcript.pyannote[2377].end 13742.44034375
transcript.pyannote[2378].speaker SPEAKER_11
transcript.pyannote[2378].start 13743.11534375
transcript.pyannote[2378].end 13762.69034375
transcript.pyannote[2379].speaker SPEAKER_11
transcript.pyannote[2379].start 13763.83784375
transcript.pyannote[2379].end 13764.51284375
transcript.pyannote[2380].speaker SPEAKER_07
transcript.pyannote[2380].start 13765.89659375
transcript.pyannote[2380].end 13766.63909375
transcript.pyannote[2381].speaker SPEAKER_07
transcript.pyannote[2381].start 13767.41534375
transcript.pyannote[2381].end 13770.26721875
transcript.pyannote[2382].speaker SPEAKER_22
transcript.pyannote[2382].start 13780.18971875
transcript.pyannote[2382].end 13780.88159375
transcript.pyannote[2383].speaker SPEAKER_07
transcript.pyannote[2383].start 13781.59034375
transcript.pyannote[2383].end 13782.67034375
transcript.pyannote[2384].speaker SPEAKER_07
transcript.pyannote[2384].start 13786.50096875
transcript.pyannote[2384].end 13786.68659375
transcript.pyannote[2385].speaker SPEAKER_18
transcript.pyannote[2385].start 13786.68659375
transcript.pyannote[2385].end 13787.07471875
transcript.pyannote[2386].speaker SPEAKER_22
transcript.pyannote[2386].start 13788.01971875
transcript.pyannote[2386].end 13798.19534375
transcript.pyannote[2387].speaker SPEAKER_25
transcript.pyannote[2387].start 13798.19534375
transcript.pyannote[2387].end 13798.36409375
transcript.pyannote[2388].speaker SPEAKER_22
transcript.pyannote[2388].start 13798.36409375
transcript.pyannote[2388].end 13804.60784375
transcript.pyannote[2389].speaker SPEAKER_22
transcript.pyannote[2389].start 13805.33346875
transcript.pyannote[2389].end 13808.97846875
transcript.pyannote[2390].speaker SPEAKER_18
transcript.pyannote[2390].start 13810.31159375
transcript.pyannote[2390].end 13815.28971875
transcript.pyannote[2391].speaker SPEAKER_22
transcript.pyannote[2391].start 13815.52596875
transcript.pyannote[2391].end 13820.74034375
transcript.pyannote[2392].speaker SPEAKER_22
transcript.pyannote[2392].start 13821.56721875
transcript.pyannote[2392].end 13822.10721875
transcript.pyannote[2393].speaker SPEAKER_22
transcript.pyannote[2393].start 13823.44034375
transcript.pyannote[2393].end 13832.24909375
transcript.pyannote[2394].speaker SPEAKER_22
transcript.pyannote[2394].start 13832.62034375
transcript.pyannote[2394].end 13837.68284375
transcript.pyannote[2395].speaker SPEAKER_22
transcript.pyannote[2395].start 13837.96971875
transcript.pyannote[2395].end 13844.56784375
transcript.pyannote[2396].speaker SPEAKER_22
transcript.pyannote[2396].start 13844.82096875
transcript.pyannote[2396].end 13855.04721875
transcript.pyannote[2397].speaker SPEAKER_22
transcript.pyannote[2397].start 13855.40159375
transcript.pyannote[2397].end 13860.10971875
transcript.pyannote[2398].speaker SPEAKER_22
transcript.pyannote[2398].start 13860.85221875
transcript.pyannote[2398].end 13864.27784375
transcript.pyannote[2399].speaker SPEAKER_22
transcript.pyannote[2399].start 13865.34096875
transcript.pyannote[2399].end 13865.99909375
transcript.pyannote[2400].speaker SPEAKER_22
transcript.pyannote[2400].start 13866.97784375
transcript.pyannote[2400].end 13870.52159375
transcript.pyannote[2401].speaker SPEAKER_22
transcript.pyannote[2401].start 13870.75784375
transcript.pyannote[2401].end 13875.24659375
transcript.pyannote[2402].speaker SPEAKER_22
transcript.pyannote[2402].start 13875.71909375
transcript.pyannote[2402].end 13881.22034375
transcript.pyannote[2403].speaker SPEAKER_22
transcript.pyannote[2403].start 13881.62534375
transcript.pyannote[2403].end 13883.38034375
transcript.pyannote[2404].speaker SPEAKER_22
transcript.pyannote[2404].start 13884.17346875
transcript.pyannote[2404].end 13884.64596875
transcript.pyannote[2405].speaker SPEAKER_22
transcript.pyannote[2405].start 13884.84846875
transcript.pyannote[2405].end 13886.28284375
transcript.pyannote[2406].speaker SPEAKER_22
transcript.pyannote[2406].start 13886.48534375
transcript.pyannote[2406].end 13886.89034375
transcript.pyannote[2407].speaker SPEAKER_18
transcript.pyannote[2407].start 13887.09284375
transcript.pyannote[2407].end 13887.44721875
transcript.pyannote[2408].speaker SPEAKER_18
transcript.pyannote[2408].start 13888.20659375
transcript.pyannote[2408].end 13888.52721875
transcript.pyannote[2409].speaker SPEAKER_18
transcript.pyannote[2409].start 13889.06721875
transcript.pyannote[2409].end 13889.47221875
transcript.pyannote[2410].speaker SPEAKER_18
transcript.pyannote[2410].start 13890.14721875
transcript.pyannote[2410].end 13890.95721875
transcript.pyannote[2411].speaker SPEAKER_18
transcript.pyannote[2411].start 13891.83471875
transcript.pyannote[2411].end 13893.25221875
transcript.pyannote[2412].speaker SPEAKER_22
transcript.pyannote[2412].start 13892.71221875
transcript.pyannote[2412].end 13893.94409375
transcript.pyannote[2413].speaker SPEAKER_18
transcript.pyannote[2413].start 13894.58534375
transcript.pyannote[2413].end 13894.93971875
transcript.pyannote[2414].speaker SPEAKER_22
transcript.pyannote[2414].start 13895.74971875
transcript.pyannote[2414].end 13898.33159375
transcript.pyannote[2415].speaker SPEAKER_22
transcript.pyannote[2415].start 13899.12471875
transcript.pyannote[2415].end 13902.11159375
transcript.pyannote[2416].speaker SPEAKER_18
transcript.pyannote[2416].start 13902.98909375
transcript.pyannote[2416].end 13906.24596875
transcript.pyannote[2417].speaker SPEAKER_22
transcript.pyannote[2417].start 13907.39346875
transcript.pyannote[2417].end 13909.82346875
transcript.pyannote[2418].speaker SPEAKER_18
transcript.pyannote[2418].start 13909.67159375
transcript.pyannote[2418].end 13909.80659375
transcript.pyannote[2419].speaker SPEAKER_18
transcript.pyannote[2419].start 13909.82346875
transcript.pyannote[2419].end 13909.97534375
transcript.pyannote[2420].speaker SPEAKER_22
transcript.pyannote[2420].start 13909.97534375
transcript.pyannote[2420].end 13911.98346875
transcript.pyannote[2421].speaker SPEAKER_22
transcript.pyannote[2421].start 13912.52346875
transcript.pyannote[2421].end 13916.96159375
transcript.pyannote[2422].speaker SPEAKER_22
transcript.pyannote[2422].start 13917.11346875
transcript.pyannote[2422].end 13918.66596875
transcript.pyannote[2423].speaker SPEAKER_22
transcript.pyannote[2423].start 13918.88534375
transcript.pyannote[2423].end 13937.70096875
transcript.pyannote[2424].speaker SPEAKER_22
transcript.pyannote[2424].start 13938.20721875
transcript.pyannote[2424].end 13942.71284375
transcript.pyannote[2425].speaker SPEAKER_22
transcript.pyannote[2425].start 13943.43846875
transcript.pyannote[2425].end 13944.24846875
transcript.pyannote[2426].speaker SPEAKER_18
transcript.pyannote[2426].start 13946.25659375
transcript.pyannote[2426].end 13947.70784375
transcript.pyannote[2427].speaker SPEAKER_22
transcript.pyannote[2427].start 13947.99471875
transcript.pyannote[2427].end 13954.89659375
transcript.pyannote[2428].speaker SPEAKER_22
transcript.pyannote[2428].start 13955.21721875
transcript.pyannote[2428].end 13961.32596875
transcript.pyannote[2429].speaker SPEAKER_22
transcript.pyannote[2429].start 13963.65471875
transcript.pyannote[2429].end 13965.86534375
transcript.pyannote[2430].speaker SPEAKER_18
transcript.pyannote[2430].start 13966.60784375
transcript.pyannote[2430].end 13967.16471875
transcript.pyannote[2431].speaker SPEAKER_18
transcript.pyannote[2431].start 13967.67096875
transcript.pyannote[2431].end 13970.57346875
transcript.pyannote[2432].speaker SPEAKER_22
transcript.pyannote[2432].start 13970.32034375
transcript.pyannote[2432].end 13972.68284375
transcript.pyannote[2433].speaker SPEAKER_22
transcript.pyannote[2433].start 13973.44221875
transcript.pyannote[2433].end 13974.91034375
transcript.pyannote[2434].speaker SPEAKER_22
transcript.pyannote[2434].start 13975.56846875
transcript.pyannote[2434].end 13982.75721875
transcript.pyannote[2435].speaker SPEAKER_22
transcript.pyannote[2435].start 13983.48284375
transcript.pyannote[2435].end 13987.12784375
transcript.pyannote[2436].speaker SPEAKER_22
transcript.pyannote[2436].start 13987.54971875
transcript.pyannote[2436].end 13996.47659375
transcript.pyannote[2437].speaker SPEAKER_22
transcript.pyannote[2437].start 13996.94909375
transcript.pyannote[2437].end 13997.89409375
transcript.pyannote[2438].speaker SPEAKER_18
transcript.pyannote[2438].start 13999.86846875
transcript.pyannote[2438].end 14001.04971875
transcript.pyannote[2439].speaker SPEAKER_22
transcript.pyannote[2439].start 14000.93159375
transcript.pyannote[2439].end 14002.68659375
transcript.pyannote[2440].speaker SPEAKER_22
transcript.pyannote[2440].start 14003.27721875
transcript.pyannote[2440].end 14003.73284375
transcript.pyannote[2441].speaker SPEAKER_22
transcript.pyannote[2441].start 14004.34034375
transcript.pyannote[2441].end 14007.00659375
transcript.pyannote[2442].speaker SPEAKER_22
transcript.pyannote[2442].start 14009.75721875
transcript.pyannote[2442].end 14012.50784375
transcript.pyannote[2443].speaker SPEAKER_18
transcript.pyannote[2443].start 14015.07284375
transcript.pyannote[2443].end 14021.99159375
transcript.pyannote[2444].speaker SPEAKER_22
transcript.pyannote[2444].start 14021.45159375
transcript.pyannote[2444].end 14025.53534375
transcript.pyannote[2445].speaker SPEAKER_22
transcript.pyannote[2445].start 14025.99096875
transcript.pyannote[2445].end 14027.91471875
transcript.pyannote[2446].speaker SPEAKER_22
transcript.pyannote[2446].start 14029.01159375
transcript.pyannote[2446].end 14031.84659375
transcript.pyannote[2447].speaker SPEAKER_22
transcript.pyannote[2447].start 14033.19659375
transcript.pyannote[2447].end 14035.06971875
transcript.pyannote[2448].speaker SPEAKER_22
transcript.pyannote[2448].start 14035.74471875
transcript.pyannote[2448].end 14037.98909375
transcript.pyannote[2449].speaker SPEAKER_22
transcript.pyannote[2449].start 14038.24221875
transcript.pyannote[2449].end 14052.72096875
transcript.pyannote[2450].speaker SPEAKER_22
transcript.pyannote[2450].start 14054.25659375
transcript.pyannote[2450].end 14055.65721875
transcript.pyannote[2451].speaker SPEAKER_22
transcript.pyannote[2451].start 14056.28159375
transcript.pyannote[2451].end 14057.88471875
transcript.pyannote[2452].speaker SPEAKER_22
transcript.pyannote[2452].start 14058.98159375
transcript.pyannote[2452].end 14063.47034375
transcript.pyannote[2453].speaker SPEAKER_22
transcript.pyannote[2453].start 14063.67284375
transcript.pyannote[2453].end 14065.02284375
transcript.pyannote[2454].speaker SPEAKER_22
transcript.pyannote[2454].start 14065.90034375
transcript.pyannote[2454].end 14066.52471875
transcript.pyannote[2455].speaker SPEAKER_22
transcript.pyannote[2455].start 14067.57096875
transcript.pyannote[2455].end 14068.46534375
transcript.pyannote[2456].speaker SPEAKER_22
transcript.pyannote[2456].start 14068.60034375
transcript.pyannote[2456].end 14074.82721875
transcript.pyannote[2457].speaker SPEAKER_22
transcript.pyannote[2457].start 14076.10971875
transcript.pyannote[2457].end 14078.26971875
transcript.pyannote[2458].speaker SPEAKER_22
transcript.pyannote[2458].start 14079.75471875
transcript.pyannote[2458].end 14081.57721875
transcript.pyannote[2459].speaker SPEAKER_22
transcript.pyannote[2459].start 14081.69534375
transcript.pyannote[2459].end 14090.70659375
transcript.pyannote[2460].speaker SPEAKER_22
transcript.pyannote[2460].start 14091.55034375
transcript.pyannote[2460].end 14093.13659375
transcript.pyannote[2461].speaker SPEAKER_22
transcript.pyannote[2461].start 14094.33471875
transcript.pyannote[2461].end 14096.20784375
transcript.pyannote[2462].speaker SPEAKER_22
transcript.pyannote[2462].start 14097.47346875
transcript.pyannote[2462].end 14098.73909375
transcript.pyannote[2463].speaker SPEAKER_22
transcript.pyannote[2463].start 14099.32971875
transcript.pyannote[2463].end 14099.80221875
transcript.pyannote[2464].speaker SPEAKER_22
transcript.pyannote[2464].start 14099.97096875
transcript.pyannote[2464].end 14101.84409375
transcript.pyannote[2465].speaker SPEAKER_22
transcript.pyannote[2465].start 14103.22784375
transcript.pyannote[2465].end 14105.23596875
transcript.pyannote[2466].speaker SPEAKER_22
transcript.pyannote[2466].start 14105.77596875
transcript.pyannote[2466].end 14108.88096875
transcript.pyannote[2467].speaker SPEAKER_22
transcript.pyannote[2467].start 14109.25221875
transcript.pyannote[2467].end 14111.19284375
transcript.pyannote[2468].speaker SPEAKER_22
transcript.pyannote[2468].start 14113.62284375
transcript.pyannote[2468].end 14113.96034375
transcript.pyannote[2469].speaker SPEAKER_22
transcript.pyannote[2469].start 14114.56784375
transcript.pyannote[2469].end 14115.42846875
transcript.pyannote[2470].speaker SPEAKER_18
transcript.pyannote[2470].start 14115.58034375
transcript.pyannote[2470].end 14115.78284375
transcript.pyannote[2471].speaker SPEAKER_18
transcript.pyannote[2471].start 14116.17096875
transcript.pyannote[2471].end 14117.31846875
transcript.pyannote[2472].speaker SPEAKER_18
transcript.pyannote[2472].start 14118.02721875
transcript.pyannote[2472].end 14122.88721875
transcript.pyannote[2473].speaker SPEAKER_18
transcript.pyannote[2473].start 14123.24159375
transcript.pyannote[2473].end 14134.39596875
transcript.pyannote[2474].speaker SPEAKER_22
transcript.pyannote[2474].start 14133.73784375
transcript.pyannote[2474].end 14143.42409375
transcript.pyannote[2475].speaker SPEAKER_18
transcript.pyannote[2475].start 14142.52971875
transcript.pyannote[2475].end 14143.12034375
transcript.pyannote[2476].speaker SPEAKER_18
transcript.pyannote[2476].start 14143.74471875
transcript.pyannote[2476].end 14145.83721875
transcript.pyannote[2477].speaker SPEAKER_18
transcript.pyannote[2477].start 14146.15784375
transcript.pyannote[2477].end 14154.02159375
transcript.pyannote[2478].speaker SPEAKER_18
transcript.pyannote[2478].start 14154.20721875
transcript.pyannote[2478].end 14157.43034375
transcript.pyannote[2479].speaker SPEAKER_22
transcript.pyannote[2479].start 14157.00846875
transcript.pyannote[2479].end 14164.55159375
transcript.pyannote[2480].speaker SPEAKER_22
transcript.pyannote[2480].start 14165.07471875
transcript.pyannote[2480].end 14168.44971875
transcript.pyannote[2481].speaker SPEAKER_22
transcript.pyannote[2481].start 14168.75346875
transcript.pyannote[2481].end 14173.36034375
transcript.pyannote[2482].speaker SPEAKER_18
transcript.pyannote[2482].start 14171.23409375
transcript.pyannote[2482].end 14180.46471875
transcript.pyannote[2483].speaker SPEAKER_18
transcript.pyannote[2483].start 14180.73471875
transcript.pyannote[2483].end 14190.18471875
transcript.pyannote[2484].speaker SPEAKER_22
transcript.pyannote[2484].start 14189.67846875
transcript.pyannote[2484].end 14196.46221875
transcript.pyannote[2485].speaker SPEAKER_22
transcript.pyannote[2485].start 14197.74471875
transcript.pyannote[2485].end 14203.02659375
transcript.pyannote[2486].speaker SPEAKER_18
transcript.pyannote[2486].start 14202.21659375
transcript.pyannote[2486].end 14205.70971875
transcript.pyannote[2487].speaker SPEAKER_22
transcript.pyannote[2487].start 14204.22471875
transcript.pyannote[2487].end 14211.97034375
transcript.pyannote[2488].speaker SPEAKER_22
transcript.pyannote[2488].start 14212.57784375
transcript.pyannote[2488].end 14219.07471875
transcript.pyannote[2489].speaker SPEAKER_22
transcript.pyannote[2489].start 14220.40784375
transcript.pyannote[2489].end 14220.42471875
transcript.pyannote[2490].speaker SPEAKER_18
transcript.pyannote[2490].start 14220.42471875
transcript.pyannote[2490].end 14229.04784375
transcript.pyannote[2491].speaker SPEAKER_22
transcript.pyannote[2491].start 14220.82971875
transcript.pyannote[2491].end 14222.83784375
transcript.pyannote[2492].speaker SPEAKER_22
transcript.pyannote[2492].start 14227.69784375
transcript.pyannote[2492].end 14231.08971875
transcript.pyannote[2493].speaker SPEAKER_22
transcript.pyannote[2493].start 14231.14034375
transcript.pyannote[2493].end 14231.17409375
transcript.pyannote[2494].speaker SPEAKER_18
transcript.pyannote[2494].start 14231.17409375
transcript.pyannote[2494].end 14233.30034375
transcript.pyannote[2495].speaker SPEAKER_22
transcript.pyannote[2495].start 14231.89971875
transcript.pyannote[2495].end 14242.44659375
transcript.pyannote[2496].speaker SPEAKER_18
transcript.pyannote[2496].start 14233.53659375
transcript.pyannote[2496].end 14235.10596875
transcript.pyannote[2497].speaker SPEAKER_18
transcript.pyannote[2497].start 14241.26534375
transcript.pyannote[2497].end 14241.29909375
transcript.pyannote[2498].speaker SPEAKER_18
transcript.pyannote[2498].start 14241.82221875
transcript.pyannote[2498].end 14253.55034375
transcript.pyannote[2499].speaker SPEAKER_22
transcript.pyannote[2499].start 14251.17096875
transcript.pyannote[2499].end 14260.50284375
transcript.pyannote[2500].speaker SPEAKER_22
transcript.pyannote[2500].start 14260.57034375
transcript.pyannote[2500].end 14286.45659375
transcript.pyannote[2501].speaker SPEAKER_22
transcript.pyannote[2501].start 14286.70971875
transcript.pyannote[2501].end 14288.51534375
transcript.pyannote[2502].speaker SPEAKER_07
transcript.pyannote[2502].start 14286.72659375
transcript.pyannote[2502].end 14294.03346875
transcript.pyannote[2503].speaker SPEAKER_07
transcript.pyannote[2503].start 14294.05034375
transcript.pyannote[2503].end 14296.02471875
transcript.pyannote[2504].speaker SPEAKER_00
transcript.pyannote[2504].start 14303.33159375
transcript.pyannote[2504].end 14306.85846875
transcript.pyannote[2505].speaker SPEAKER_07
transcript.pyannote[2505].start 14309.49096875
transcript.pyannote[2505].end 14310.03096875
transcript.pyannote[2506].speaker SPEAKER_04
transcript.pyannote[2506].start 14310.03096875
transcript.pyannote[2506].end 14310.09846875
transcript.pyannote[2507].speaker SPEAKER_07
transcript.pyannote[2507].start 14310.09846875
transcript.pyannote[2507].end 14311.02659375
transcript.pyannote[2508].speaker SPEAKER_00
transcript.pyannote[2508].start 14310.14909375
transcript.pyannote[2508].end 14311.33034375
transcript.pyannote[2509].speaker SPEAKER_04
transcript.pyannote[2509].start 14311.02659375
transcript.pyannote[2509].end 14311.36409375
transcript.pyannote[2510].speaker SPEAKER_04
transcript.pyannote[2510].start 14315.48159375
transcript.pyannote[2510].end 14316.17346875
transcript.pyannote[2511].speaker SPEAKER_04
transcript.pyannote[2511].start 14316.27471875
transcript.pyannote[2511].end 14316.84846875
transcript.pyannote[2512].speaker SPEAKER_00
transcript.pyannote[2512].start 14316.84846875
transcript.pyannote[2512].end 14354.93534375
transcript.pyannote[2513].speaker SPEAKER_00
transcript.pyannote[2513].start 14355.13784375
transcript.pyannote[2513].end 14365.54971875
transcript.pyannote[2514].speaker SPEAKER_04
transcript.pyannote[2514].start 14366.66346875
transcript.pyannote[2514].end 14370.51096875
transcript.pyannote[2515].speaker SPEAKER_00
transcript.pyannote[2515].start 14370.51096875
transcript.pyannote[2515].end 14374.56096875
transcript.pyannote[2516].speaker SPEAKER_04
transcript.pyannote[2516].start 14376.43409375
transcript.pyannote[2516].end 14380.68659375
transcript.pyannote[2517].speaker SPEAKER_04
transcript.pyannote[2517].start 14381.09159375
transcript.pyannote[2517].end 14386.05284375
transcript.pyannote[2518].speaker SPEAKER_04
transcript.pyannote[2518].start 14386.08659375
transcript.pyannote[2518].end 14386.23846875
transcript.pyannote[2519].speaker SPEAKER_04
transcript.pyannote[2519].start 14386.39034375
transcript.pyannote[2519].end 14389.02284375
transcript.pyannote[2520].speaker SPEAKER_00
transcript.pyannote[2520].start 14388.83721875
transcript.pyannote[2520].end 14390.37284375
transcript.pyannote[2521].speaker SPEAKER_00
transcript.pyannote[2521].start 14390.87909375
transcript.pyannote[2521].end 14393.49471875
transcript.pyannote[2522].speaker SPEAKER_18
transcript.pyannote[2522].start 14391.75659375
transcript.pyannote[2522].end 14410.01534375
transcript.pyannote[2523].speaker SPEAKER_00
transcript.pyannote[2523].start 14405.96534375
transcript.pyannote[2523].end 14406.11721875
transcript.pyannote[2524].speaker SPEAKER_00
transcript.pyannote[2524].start 14409.69471875
transcript.pyannote[2524].end 14413.05284375
transcript.pyannote[2525].speaker SPEAKER_00
transcript.pyannote[2525].start 14413.42409375
transcript.pyannote[2525].end 14420.05596875
transcript.pyannote[2526].speaker SPEAKER_00
transcript.pyannote[2526].start 14420.24159375
transcript.pyannote[2526].end 14436.76221875
transcript.pyannote[2527].speaker SPEAKER_00
transcript.pyannote[2527].start 14437.25159375
transcript.pyannote[2527].end 14438.44971875
transcript.pyannote[2528].speaker SPEAKER_00
transcript.pyannote[2528].start 14438.51721875
transcript.pyannote[2528].end 14446.39784375
transcript.pyannote[2529].speaker SPEAKER_00
transcript.pyannote[2529].start 14446.75221875
transcript.pyannote[2529].end 14477.98784375
transcript.pyannote[2530].speaker SPEAKER_00
transcript.pyannote[2530].start 14478.32534375
transcript.pyannote[2530].end 14479.05096875
transcript.pyannote[2531].speaker SPEAKER_00
transcript.pyannote[2531].start 14479.33784375
transcript.pyannote[2531].end 14483.30346875
transcript.pyannote[2532].speaker SPEAKER_00
transcript.pyannote[2532].start 14483.53971875
transcript.pyannote[2532].end 14484.75471875
transcript.pyannote[2533].speaker SPEAKER_04
transcript.pyannote[2533].start 14488.19721875
transcript.pyannote[2533].end 14488.95659375
transcript.pyannote[2534].speaker SPEAKER_04
transcript.pyannote[2534].start 14489.31096875
transcript.pyannote[2534].end 14489.54721875
transcript.pyannote[2535].speaker SPEAKER_00
transcript.pyannote[2535].start 14489.41221875
transcript.pyannote[2535].end 14498.05221875
transcript.pyannote[2536].speaker SPEAKER_04
transcript.pyannote[2536].start 14498.05221875
transcript.pyannote[2536].end 14502.23721875
transcript.pyannote[2537].speaker SPEAKER_00
transcript.pyannote[2537].start 14502.32159375
transcript.pyannote[2537].end 14508.44721875
transcript.pyannote[2538].speaker SPEAKER_00
transcript.pyannote[2538].start 14508.78471875
transcript.pyannote[2538].end 14509.51034375
transcript.pyannote[2539].speaker SPEAKER_00
transcript.pyannote[2539].start 14509.76346875
transcript.pyannote[2539].end 14513.12159375
transcript.pyannote[2540].speaker SPEAKER_00
transcript.pyannote[2540].start 14513.91471875
transcript.pyannote[2540].end 14515.01159375
transcript.pyannote[2541].speaker SPEAKER_25
transcript.pyannote[2541].start 14516.46284375
transcript.pyannote[2541].end 14517.34034375
transcript.pyannote[2542].speaker SPEAKER_00
transcript.pyannote[2542].start 14516.81721875
transcript.pyannote[2542].end 14523.76971875
transcript.pyannote[2543].speaker SPEAKER_00
transcript.pyannote[2543].start 14524.29284375
transcript.pyannote[2543].end 14529.45659375
transcript.pyannote[2544].speaker SPEAKER_00
transcript.pyannote[2544].start 14529.72659375
transcript.pyannote[2544].end 14531.02596875
transcript.pyannote[2545].speaker SPEAKER_00
transcript.pyannote[2545].start 14531.19471875
transcript.pyannote[2545].end 14531.95409375
transcript.pyannote[2546].speaker SPEAKER_00
transcript.pyannote[2546].start 14532.29159375
transcript.pyannote[2546].end 14536.54409375
transcript.pyannote[2547].speaker SPEAKER_00
transcript.pyannote[2547].start 14537.60721875
transcript.pyannote[2547].end 14539.22721875
transcript.pyannote[2548].speaker SPEAKER_00
transcript.pyannote[2548].start 14539.56471875
transcript.pyannote[2548].end 14541.15096875
transcript.pyannote[2549].speaker SPEAKER_00
transcript.pyannote[2549].start 14541.38721875
transcript.pyannote[2549].end 14545.92659375
transcript.pyannote[2550].speaker SPEAKER_00
transcript.pyannote[2550].start 14546.26409375
transcript.pyannote[2550].end 14548.66034375
transcript.pyannote[2551].speaker SPEAKER_04
transcript.pyannote[2551].start 14549.84159375
transcript.pyannote[2551].end 14552.00159375
transcript.pyannote[2552].speaker SPEAKER_04
transcript.pyannote[2552].start 14552.10284375
transcript.pyannote[2552].end 14553.68909375
transcript.pyannote[2553].speaker SPEAKER_00
transcript.pyannote[2553].start 14552.11971875
transcript.pyannote[2553].end 14556.77721875
transcript.pyannote[2554].speaker SPEAKER_00
transcript.pyannote[2554].start 14557.33409375
transcript.pyannote[2554].end 14559.84846875
transcript.pyannote[2555].speaker SPEAKER_00
transcript.pyannote[2555].start 14560.13534375
transcript.pyannote[2555].end 14564.99534375
transcript.pyannote[2556].speaker SPEAKER_00
transcript.pyannote[2556].start 14565.24846875
transcript.pyannote[2556].end 14567.22284375
transcript.pyannote[2557].speaker SPEAKER_00
transcript.pyannote[2557].start 14567.45909375
transcript.pyannote[2557].end 14579.05221875
transcript.pyannote[2558].speaker SPEAKER_00
transcript.pyannote[2558].start 14579.23784375
transcript.pyannote[2558].end 14589.81846875
transcript.pyannote[2559].speaker SPEAKER_00
transcript.pyannote[2559].start 14590.08846875
transcript.pyannote[2559].end 14598.23909375
transcript.pyannote[2560].speaker SPEAKER_00
transcript.pyannote[2560].start 14598.86346875
transcript.pyannote[2560].end 14599.31909375
transcript.pyannote[2561].speaker SPEAKER_00
transcript.pyannote[2561].start 14599.58909375
transcript.pyannote[2561].end 14618.97846875
transcript.pyannote[2562].speaker SPEAKER_04
transcript.pyannote[2562].start 14620.93596875
transcript.pyannote[2562].end 14630.63909375
transcript.pyannote[2563].speaker SPEAKER_00
transcript.pyannote[2563].start 14628.36096875
transcript.pyannote[2563].end 14634.62159375
transcript.pyannote[2564].speaker SPEAKER_04
transcript.pyannote[2564].start 14631.82034375
transcript.pyannote[2564].end 14632.52909375
transcript.pyannote[2565].speaker SPEAKER_04
transcript.pyannote[2565].start 14632.54596875
transcript.pyannote[2565].end 14632.59659375
transcript.pyannote[2566].speaker SPEAKER_04
transcript.pyannote[2566].start 14632.61346875
transcript.pyannote[2566].end 14634.43596875
transcript.pyannote[2567].speaker SPEAKER_04
transcript.pyannote[2567].start 14634.52034375
transcript.pyannote[2567].end 14652.57659375
transcript.pyannote[2568].speaker SPEAKER_00
transcript.pyannote[2568].start 14635.76909375
transcript.pyannote[2568].end 14636.07284375
transcript.pyannote[2569].speaker SPEAKER_00
transcript.pyannote[2569].start 14652.25596875
transcript.pyannote[2569].end 14653.85909375
transcript.pyannote[2570].speaker SPEAKER_04
transcript.pyannote[2570].start 14653.87596875
transcript.pyannote[2570].end 14655.34409375
transcript.pyannote[2571].speaker SPEAKER_00
transcript.pyannote[2571].start 14654.87159375
transcript.pyannote[2571].end 14657.57159375
transcript.pyannote[2572].speaker SPEAKER_25
transcript.pyannote[2572].start 14657.57159375
transcript.pyannote[2572].end 14657.58846875
transcript.pyannote[2573].speaker SPEAKER_04
transcript.pyannote[2573].start 14657.58846875
transcript.pyannote[2573].end 14657.87534375
transcript.pyannote[2574].speaker SPEAKER_00
transcript.pyannote[2574].start 14657.87534375
transcript.pyannote[2574].end 14660.62596875
transcript.pyannote[2575].speaker SPEAKER_25
transcript.pyannote[2575].start 14660.62596875
transcript.pyannote[2575].end 14660.99721875
transcript.pyannote[2576].speaker SPEAKER_00
transcript.pyannote[2576].start 14660.99721875
transcript.pyannote[2576].end 14664.57471875
transcript.pyannote[2577].speaker SPEAKER_25
transcript.pyannote[2577].start 14664.84471875
transcript.pyannote[2577].end 14665.21596875
transcript.pyannote[2578].speaker SPEAKER_00
transcript.pyannote[2578].start 14665.36784375
transcript.pyannote[2578].end 14670.00846875
transcript.pyannote[2579].speaker SPEAKER_00
transcript.pyannote[2579].start 14670.46409375
transcript.pyannote[2579].end 14676.47159375
transcript.pyannote[2580].speaker SPEAKER_00
transcript.pyannote[2580].start 14676.69096875
transcript.pyannote[2580].end 14678.36159375
transcript.pyannote[2581].speaker SPEAKER_04
transcript.pyannote[2581].start 14677.06221875
transcript.pyannote[2581].end 14682.15846875
transcript.pyannote[2582].speaker SPEAKER_00
transcript.pyannote[2582].start 14680.48784375
transcript.pyannote[2582].end 14689.36409375
transcript.pyannote[2583].speaker SPEAKER_04
transcript.pyannote[2583].start 14682.42846875
transcript.pyannote[2583].end 14682.64784375
transcript.pyannote[2584].speaker SPEAKER_00
transcript.pyannote[2584].start 14689.51596875
transcript.pyannote[2584].end 14689.70159375
transcript.pyannote[2585].speaker SPEAKER_07
transcript.pyannote[2585].start 14689.70159375
transcript.pyannote[2585].end 14689.81971875
transcript.pyannote[2586].speaker SPEAKER_07
transcript.pyannote[2586].start 14689.95471875
transcript.pyannote[2586].end 14689.97159375
transcript.pyannote[2587].speaker SPEAKER_00
transcript.pyannote[2587].start 14689.97159375
transcript.pyannote[2587].end 14690.02221875
transcript.pyannote[2588].speaker SPEAKER_00
transcript.pyannote[2588].start 14690.03909375
transcript.pyannote[2588].end 14690.41034375
transcript.pyannote[2589].speaker SPEAKER_07
transcript.pyannote[2589].start 14691.57471875
transcript.pyannote[2589].end 14693.41409375
transcript.pyannote[2590].speaker SPEAKER_07
transcript.pyannote[2590].start 14694.69659375
transcript.pyannote[2590].end 14697.34596875
transcript.pyannote[2591].speaker SPEAKER_38
transcript.pyannote[2591].start 14713.91721875
transcript.pyannote[2591].end 14715.92534375
transcript.pyannote[2592].speaker SPEAKER_38
transcript.pyannote[2592].start 14725.76346875
transcript.pyannote[2592].end 14727.13034375
transcript.pyannote[2593].speaker SPEAKER_38
transcript.pyannote[2593].start 14728.04159375
transcript.pyannote[2593].end 14730.35346875
transcript.pyannote[2594].speaker SPEAKER_38
transcript.pyannote[2594].start 14730.92721875
transcript.pyannote[2594].end 14731.53471875
transcript.pyannote[2595].speaker SPEAKER_07
transcript.pyannote[2595].start 14731.53471875
transcript.pyannote[2595].end 14731.83846875
transcript.pyannote[2596].speaker SPEAKER_38
transcript.pyannote[2596].start 14731.83846875
transcript.pyannote[2596].end 14731.88909375
transcript.pyannote[2597].speaker SPEAKER_07
transcript.pyannote[2597].start 14731.88909375
transcript.pyannote[2597].end 14732.00721875
transcript.pyannote[2598].speaker SPEAKER_38
transcript.pyannote[2598].start 14732.78346875
transcript.pyannote[2598].end 14732.85096875
transcript.pyannote[2599].speaker SPEAKER_38
transcript.pyannote[2599].start 14734.20096875
transcript.pyannote[2599].end 14735.66909375
transcript.pyannote[2600].speaker SPEAKER_38
transcript.pyannote[2600].start 14736.15846875
transcript.pyannote[2600].end 14766.56721875
transcript.pyannote[2601].speaker SPEAKER_18
transcript.pyannote[2601].start 14766.98909375
transcript.pyannote[2601].end 14775.46034375
transcript.pyannote[2602].speaker SPEAKER_18
transcript.pyannote[2602].start 14775.69659375
transcript.pyannote[2602].end 14782.53096875
transcript.pyannote[2603].speaker SPEAKER_38
transcript.pyannote[2603].start 14782.53096875
transcript.pyannote[2603].end 14798.37659375
transcript.pyannote[2604].speaker SPEAKER_18
transcript.pyannote[2604].start 14782.66596875
transcript.pyannote[2604].end 14783.00346875
transcript.pyannote[2605].speaker SPEAKER_02
transcript.pyannote[2605].start 14790.15846875
transcript.pyannote[2605].end 14790.58034375
transcript.pyannote[2606].speaker SPEAKER_38
transcript.pyannote[2606].start 14798.93346875
transcript.pyannote[2606].end 14807.20221875
transcript.pyannote[2607].speaker SPEAKER_18
transcript.pyannote[2607].start 14808.58596875
transcript.pyannote[2607].end 14815.13346875
transcript.pyannote[2608].speaker SPEAKER_38
transcript.pyannote[2608].start 14815.13346875
transcript.pyannote[2608].end 14820.65159375
transcript.pyannote[2609].speaker SPEAKER_18
transcript.pyannote[2609].start 14815.36971875
transcript.pyannote[2609].end 14815.87596875
transcript.pyannote[2610].speaker SPEAKER_38
transcript.pyannote[2610].start 14820.75284375
transcript.pyannote[2610].end 14823.55409375
transcript.pyannote[2611].speaker SPEAKER_02
transcript.pyannote[2611].start 14821.02284375
transcript.pyannote[2611].end 14821.91721875
transcript.pyannote[2612].speaker SPEAKER_18
transcript.pyannote[2612].start 14821.91721875
transcript.pyannote[2612].end 14822.96346875
transcript.pyannote[2613].speaker SPEAKER_18
transcript.pyannote[2613].start 14825.30909375
transcript.pyannote[2613].end 14830.40534375
transcript.pyannote[2614].speaker SPEAKER_38
transcript.pyannote[2614].start 14829.71346875
transcript.pyannote[2614].end 14841.81284375
transcript.pyannote[2615].speaker SPEAKER_18
transcript.pyannote[2615].start 14832.88596875
transcript.pyannote[2615].end 14833.30784375
transcript.pyannote[2616].speaker SPEAKER_38
transcript.pyannote[2616].start 14842.25159375
transcript.pyannote[2616].end 14846.28471875
transcript.pyannote[2617].speaker SPEAKER_25
transcript.pyannote[2617].start 14845.69409375
transcript.pyannote[2617].end 14846.03159375
transcript.pyannote[2618].speaker SPEAKER_18
transcript.pyannote[2618].start 14846.03159375
transcript.pyannote[2618].end 14846.23409375
transcript.pyannote[2619].speaker SPEAKER_25
transcript.pyannote[2619].start 14846.23409375
transcript.pyannote[2619].end 14846.26784375
transcript.pyannote[2620].speaker SPEAKER_18
transcript.pyannote[2620].start 14846.26784375
transcript.pyannote[2620].end 14846.57159375
transcript.pyannote[2621].speaker SPEAKER_25
transcript.pyannote[2621].start 14846.57159375
transcript.pyannote[2621].end 14846.67284375
transcript.pyannote[2622].speaker SPEAKER_18
transcript.pyannote[2622].start 14846.67284375
transcript.pyannote[2622].end 14846.70659375
transcript.pyannote[2623].speaker SPEAKER_38
transcript.pyannote[2623].start 14846.72346875
transcript.pyannote[2623].end 14846.75721875
transcript.pyannote[2624].speaker SPEAKER_18
transcript.pyannote[2624].start 14846.75721875
transcript.pyannote[2624].end 14846.77409375
transcript.pyannote[2625].speaker SPEAKER_38
transcript.pyannote[2625].start 14846.77409375
transcript.pyannote[2625].end 14846.79096875
transcript.pyannote[2626].speaker SPEAKER_18
transcript.pyannote[2626].start 14846.79096875
transcript.pyannote[2626].end 14847.36471875
transcript.pyannote[2627].speaker SPEAKER_38
transcript.pyannote[2627].start 14846.87534375
transcript.pyannote[2627].end 14846.97659375
transcript.pyannote[2628].speaker SPEAKER_38
transcript.pyannote[2628].start 14847.36471875
transcript.pyannote[2628].end 14847.44909375
transcript.pyannote[2629].speaker SPEAKER_18
transcript.pyannote[2629].start 14847.44909375
transcript.pyannote[2629].end 14847.49971875
transcript.pyannote[2630].speaker SPEAKER_38
transcript.pyannote[2630].start 14847.49971875
transcript.pyannote[2630].end 14847.82034375
transcript.pyannote[2631].speaker SPEAKER_18
transcript.pyannote[2631].start 14847.82034375
transcript.pyannote[2631].end 14847.83721875
transcript.pyannote[2632].speaker SPEAKER_38
transcript.pyannote[2632].start 14847.83721875
transcript.pyannote[2632].end 14847.85409375
transcript.pyannote[2633].speaker SPEAKER_18
transcript.pyannote[2633].start 14847.85409375
transcript.pyannote[2633].end 14847.87096875
transcript.pyannote[2634].speaker SPEAKER_38
transcript.pyannote[2634].start 14848.86659375
transcript.pyannote[2634].end 14849.72721875
transcript.pyannote[2635].speaker SPEAKER_18
transcript.pyannote[2635].start 14849.72721875
transcript.pyannote[2635].end 14849.74409375
transcript.pyannote[2636].speaker SPEAKER_27
transcript.pyannote[2636].start 14852.79846875
transcript.pyannote[2636].end 14852.84909375
transcript.pyannote[2637].speaker SPEAKER_18
transcript.pyannote[2637].start 14852.84909375
transcript.pyannote[2637].end 14853.60846875
transcript.pyannote[2638].speaker SPEAKER_27
transcript.pyannote[2638].start 14853.60846875
transcript.pyannote[2638].end 14853.76034375
transcript.pyannote[2639].speaker SPEAKER_18
transcript.pyannote[2639].start 14853.87846875
transcript.pyannote[2639].end 14854.65471875
transcript.pyannote[2640].speaker SPEAKER_38
transcript.pyannote[2640].start 14854.40159375
transcript.pyannote[2640].end 14856.66284375
transcript.pyannote[2641].speaker SPEAKER_38
transcript.pyannote[2641].start 14857.79346875
transcript.pyannote[2641].end 14858.97471875
transcript.pyannote[2642].speaker SPEAKER_18
transcript.pyannote[2642].start 14858.38409375
transcript.pyannote[2642].end 14858.60346875
transcript.pyannote[2643].speaker SPEAKER_18
transcript.pyannote[2643].start 14858.97471875
transcript.pyannote[2643].end 14859.10971875
transcript.pyannote[2644].speaker SPEAKER_18
transcript.pyannote[2644].start 14861.50596875
transcript.pyannote[2644].end 14868.74534375
transcript.pyannote[2645].speaker SPEAKER_25
transcript.pyannote[2645].start 14861.62409375
transcript.pyannote[2645].end 14861.70846875
transcript.pyannote[2646].speaker SPEAKER_38
transcript.pyannote[2646].start 14861.70846875
transcript.pyannote[2646].end 14861.97846875
transcript.pyannote[2647].speaker SPEAKER_25
transcript.pyannote[2647].start 14861.97846875
transcript.pyannote[2647].end 14862.18096875
transcript.pyannote[2648].speaker SPEAKER_38
transcript.pyannote[2648].start 14866.75409375
transcript.pyannote[2648].end 14872.64346875
transcript.pyannote[2649].speaker SPEAKER_38
transcript.pyannote[2649].start 14872.77846875
transcript.pyannote[2649].end 14887.81409375
transcript.pyannote[2650].speaker SPEAKER_18
transcript.pyannote[2650].start 14889.97409375
transcript.pyannote[2650].end 14894.53034375
transcript.pyannote[2651].speaker SPEAKER_38
transcript.pyannote[2651].start 14893.68659375
transcript.pyannote[2651].end 14898.22596875
transcript.pyannote[2652].speaker SPEAKER_18
transcript.pyannote[2652].start 14897.90534375
transcript.pyannote[2652].end 14898.15846875
transcript.pyannote[2653].speaker SPEAKER_18
transcript.pyannote[2653].start 14898.22596875
transcript.pyannote[2653].end 14898.24284375
transcript.pyannote[2654].speaker SPEAKER_38
transcript.pyannote[2654].start 14898.24284375
transcript.pyannote[2654].end 14898.25971875
transcript.pyannote[2655].speaker SPEAKER_18
transcript.pyannote[2655].start 14898.25971875
transcript.pyannote[2655].end 14898.47909375
transcript.pyannote[2656].speaker SPEAKER_18
transcript.pyannote[2656].start 14898.83346875
transcript.pyannote[2656].end 14899.50846875
transcript.pyannote[2657].speaker SPEAKER_18
transcript.pyannote[2657].start 14900.09909375
transcript.pyannote[2657].end 14911.28721875
transcript.pyannote[2658].speaker SPEAKER_38
transcript.pyannote[2658].start 14910.42659375
transcript.pyannote[2658].end 14910.84846875
transcript.pyannote[2659].speaker SPEAKER_18
transcript.pyannote[2659].start 14911.52346875
transcript.pyannote[2659].end 14915.87721875
transcript.pyannote[2660].speaker SPEAKER_38
transcript.pyannote[2660].start 14915.11784375
transcript.pyannote[2660].end 14916.51846875
transcript.pyannote[2661].speaker SPEAKER_18
transcript.pyannote[2661].start 14916.13034375
transcript.pyannote[2661].end 14916.77159375
transcript.pyannote[2662].speaker SPEAKER_38
transcript.pyannote[2662].start 14916.77159375
transcript.pyannote[2662].end 14956.90034375
transcript.pyannote[2663].speaker SPEAKER_38
transcript.pyannote[2663].start 14957.60909375
transcript.pyannote[2663].end 14976.01971875
transcript.pyannote[2664].speaker SPEAKER_18
transcript.pyannote[2664].start 14978.23034375
transcript.pyannote[2664].end 14983.96784375
transcript.pyannote[2665].speaker SPEAKER_38
transcript.pyannote[2665].start 14983.02284375
transcript.pyannote[2665].end 14988.84471875
transcript.pyannote[2666].speaker SPEAKER_18
transcript.pyannote[2666].start 14987.39346875
transcript.pyannote[2666].end 14988.91221875
transcript.pyannote[2667].speaker SPEAKER_18
transcript.pyannote[2667].start 14989.31721875
transcript.pyannote[2667].end 15001.23096875
transcript.pyannote[2668].speaker SPEAKER_18
transcript.pyannote[2668].start 15001.72034375
transcript.pyannote[2668].end 15007.03596875
transcript.pyannote[2669].speaker SPEAKER_18
transcript.pyannote[2669].start 15007.45784375
transcript.pyannote[2669].end 15009.60096875
transcript.pyannote[2670].speaker SPEAKER_38
transcript.pyannote[2670].start 15009.22971875
transcript.pyannote[2670].end 15019.96221875
transcript.pyannote[2671].speaker SPEAKER_18
transcript.pyannote[2671].start 15016.75596875
transcript.pyannote[2671].end 15018.13971875
transcript.pyannote[2672].speaker SPEAKER_18
transcript.pyannote[2672].start 15019.96221875
transcript.pyannote[2672].end 15020.02971875
transcript.pyannote[2673].speaker SPEAKER_38
transcript.pyannote[2673].start 15020.02971875
transcript.pyannote[2673].end 15027.84284375
transcript.pyannote[2674].speaker SPEAKER_38
transcript.pyannote[2674].start 15028.41659375
transcript.pyannote[2674].end 15036.97221875
transcript.pyannote[2675].speaker SPEAKER_18
transcript.pyannote[2675].start 15037.61346875
transcript.pyannote[2675].end 15045.96659375
transcript.pyannote[2676].speaker SPEAKER_38
transcript.pyannote[2676].start 15044.24534375
transcript.pyannote[2676].end 15053.98221875
transcript.pyannote[2677].speaker SPEAKER_25
transcript.pyannote[2677].start 15053.07096875
transcript.pyannote[2677].end 15053.69534375
transcript.pyannote[2678].speaker SPEAKER_38
transcript.pyannote[2678].start 15054.06659375
transcript.pyannote[2678].end 15061.91346875
transcript.pyannote[2679].speaker SPEAKER_18
transcript.pyannote[2679].start 15055.73721875
transcript.pyannote[2679].end 15055.78784375
transcript.pyannote[2680].speaker SPEAKER_25
transcript.pyannote[2680].start 15055.78784375
transcript.pyannote[2680].end 15056.14221875
transcript.pyannote[2681].speaker SPEAKER_18
transcript.pyannote[2681].start 15056.14221875
transcript.pyannote[2681].end 15056.19284375
transcript.pyannote[2682].speaker SPEAKER_07
transcript.pyannote[2682].start 15059.68596875
transcript.pyannote[2682].end 15059.73659375
transcript.pyannote[2683].speaker SPEAKER_25
transcript.pyannote[2683].start 15059.73659375
transcript.pyannote[2683].end 15059.90534375
transcript.pyannote[2684].speaker SPEAKER_07
transcript.pyannote[2684].start 15061.91346875
transcript.pyannote[2684].end 15061.93034375
transcript.pyannote[2685].speaker SPEAKER_25
transcript.pyannote[2685].start 15062.06534375
transcript.pyannote[2685].end 15062.60534375
transcript.pyannote[2686].speaker SPEAKER_07
transcript.pyannote[2686].start 15062.48721875
transcript.pyannote[2686].end 15063.29721875
transcript.pyannote[2687].speaker SPEAKER_07
transcript.pyannote[2687].start 15064.02284375
transcript.pyannote[2687].end 15067.06034375
transcript.pyannote[2688].speaker SPEAKER_23
transcript.pyannote[2688].start 15088.10346875
transcript.pyannote[2688].end 15090.22971875
transcript.pyannote[2689].speaker SPEAKER_07
transcript.pyannote[2689].start 15091.15784375
transcript.pyannote[2689].end 15092.10284375
transcript.pyannote[2690].speaker SPEAKER_23
transcript.pyannote[2690].start 15096.86159375
transcript.pyannote[2690].end 15098.27909375
transcript.pyannote[2691].speaker SPEAKER_23
transcript.pyannote[2691].start 15098.97096875
transcript.pyannote[2691].end 15101.35034375
transcript.pyannote[2692].speaker SPEAKER_23
transcript.pyannote[2692].start 15101.92409375
transcript.pyannote[2692].end 15106.04159375
transcript.pyannote[2693].speaker SPEAKER_23
transcript.pyannote[2693].start 15106.59846875
transcript.pyannote[2693].end 15116.47034375
transcript.pyannote[2694].speaker SPEAKER_23
transcript.pyannote[2694].start 15117.38159375
transcript.pyannote[2694].end 15119.77784375
transcript.pyannote[2695].speaker SPEAKER_23
transcript.pyannote[2695].start 15120.09846875
transcript.pyannote[2695].end 15121.48221875
transcript.pyannote[2696].speaker SPEAKER_23
transcript.pyannote[2696].start 15122.17409375
transcript.pyannote[2696].end 15123.37221875
transcript.pyannote[2697].speaker SPEAKER_23
transcript.pyannote[2697].start 15124.11471875
transcript.pyannote[2697].end 15133.71659375
transcript.pyannote[2698].speaker SPEAKER_23
transcript.pyannote[2698].start 15134.49284375
transcript.pyannote[2698].end 15135.80909375
transcript.pyannote[2699].speaker SPEAKER_23
transcript.pyannote[2699].start 15136.53471875
transcript.pyannote[2699].end 15137.20971875
transcript.pyannote[2700].speaker SPEAKER_23
transcript.pyannote[2700].start 15137.76659375
transcript.pyannote[2700].end 15138.71159375
transcript.pyannote[2701].speaker SPEAKER_23
transcript.pyannote[2701].start 15139.21784375
transcript.pyannote[2701].end 15140.65221875
transcript.pyannote[2702].speaker SPEAKER_23
transcript.pyannote[2702].start 15140.95596875
transcript.pyannote[2702].end 15147.11534375
transcript.pyannote[2703].speaker SPEAKER_23
transcript.pyannote[2703].start 15147.13221875
transcript.pyannote[2703].end 15152.05971875
transcript.pyannote[2704].speaker SPEAKER_23
transcript.pyannote[2704].start 15152.51534375
transcript.pyannote[2704].end 15155.33346875
transcript.pyannote[2705].speaker SPEAKER_23
transcript.pyannote[2705].start 15155.87346875
transcript.pyannote[2705].end 15156.95346875
transcript.pyannote[2706].speaker SPEAKER_23
transcript.pyannote[2706].start 15157.37534375
transcript.pyannote[2706].end 15159.77159375
transcript.pyannote[2707].speaker SPEAKER_18
transcript.pyannote[2707].start 15158.94471875
transcript.pyannote[2707].end 15159.55221875
transcript.pyannote[2708].speaker SPEAKER_18
transcript.pyannote[2708].start 15160.29471875
transcript.pyannote[2708].end 15160.85159375
transcript.pyannote[2709].speaker SPEAKER_23
transcript.pyannote[2709].start 15161.62784375
transcript.pyannote[2709].end 15165.39096875
transcript.pyannote[2710].speaker SPEAKER_18
transcript.pyannote[2710].start 15163.61909375
transcript.pyannote[2710].end 15164.27721875
transcript.pyannote[2711].speaker SPEAKER_18
transcript.pyannote[2711].start 15165.98159375
transcript.pyannote[2711].end 15167.65221875
transcript.pyannote[2712].speaker SPEAKER_18
transcript.pyannote[2712].start 15168.19221875
transcript.pyannote[2712].end 15168.61409375
transcript.pyannote[2713].speaker SPEAKER_18
transcript.pyannote[2713].start 15169.27221875
transcript.pyannote[2713].end 15169.28909375
transcript.pyannote[2714].speaker SPEAKER_31
transcript.pyannote[2714].start 15169.28909375
transcript.pyannote[2714].end 15169.30596875
transcript.pyannote[2715].speaker SPEAKER_18
transcript.pyannote[2715].start 15169.30596875
transcript.pyannote[2715].end 15172.09034375
transcript.pyannote[2716].speaker SPEAKER_31
transcript.pyannote[2716].start 15172.61346875
transcript.pyannote[2716].end 15174.50346875
transcript.pyannote[2717].speaker SPEAKER_18
transcript.pyannote[2717].start 15175.00971875
transcript.pyannote[2717].end 15178.82346875
transcript.pyannote[2718].speaker SPEAKER_31
transcript.pyannote[2718].start 15178.82346875
transcript.pyannote[2718].end 15178.84034375
transcript.pyannote[2719].speaker SPEAKER_18
transcript.pyannote[2719].start 15179.26221875
transcript.pyannote[2719].end 15180.76409375
transcript.pyannote[2720].speaker SPEAKER_23
transcript.pyannote[2720].start 15180.76409375
transcript.pyannote[2720].end 15182.40096875
transcript.pyannote[2721].speaker SPEAKER_18
transcript.pyannote[2721].start 15180.78096875
transcript.pyannote[2721].end 15180.94971875
transcript.pyannote[2722].speaker SPEAKER_18
transcript.pyannote[2722].start 15182.65409375
transcript.pyannote[2722].end 15189.55596875
transcript.pyannote[2723].speaker SPEAKER_27
transcript.pyannote[2723].start 15184.34159375
transcript.pyannote[2723].end 15184.37534375
transcript.pyannote[2724].speaker SPEAKER_23
transcript.pyannote[2724].start 15184.37534375
transcript.pyannote[2724].end 15184.39221875
transcript.pyannote[2725].speaker SPEAKER_27
transcript.pyannote[2725].start 15184.39221875
transcript.pyannote[2725].end 15184.42596875
transcript.pyannote[2726].speaker SPEAKER_23
transcript.pyannote[2726].start 15184.42596875
transcript.pyannote[2726].end 15185.57346875
transcript.pyannote[2727].speaker SPEAKER_27
transcript.pyannote[2727].start 15185.57346875
transcript.pyannote[2727].end 15185.64096875
transcript.pyannote[2728].speaker SPEAKER_27
transcript.pyannote[2728].start 15185.82659375
transcript.pyannote[2728].end 15185.86034375
transcript.pyannote[2729].speaker SPEAKER_23
transcript.pyannote[2729].start 15185.86034375
transcript.pyannote[2729].end 15185.94471875
transcript.pyannote[2730].speaker SPEAKER_18
transcript.pyannote[2730].start 15189.89346875
transcript.pyannote[2730].end 15191.90159375
transcript.pyannote[2731].speaker SPEAKER_18
transcript.pyannote[2731].start 15192.44159375
transcript.pyannote[2731].end 15196.01909375
transcript.pyannote[2732].speaker SPEAKER_23
transcript.pyannote[2732].start 15192.59346875
transcript.pyannote[2732].end 15192.98159375
transcript.pyannote[2733].speaker SPEAKER_23
transcript.pyannote[2733].start 15196.99784375
transcript.pyannote[2733].end 15199.54596875
transcript.pyannote[2734].speaker SPEAKER_23
transcript.pyannote[2734].start 15201.82409375
transcript.pyannote[2734].end 15208.21971875
transcript.pyannote[2735].speaker SPEAKER_23
transcript.pyannote[2735].start 15208.54034375
transcript.pyannote[2735].end 15211.02096875
transcript.pyannote[2736].speaker SPEAKER_23
transcript.pyannote[2736].start 15211.62846875
transcript.pyannote[2736].end 15213.11346875
transcript.pyannote[2737].speaker SPEAKER_23
transcript.pyannote[2737].start 15213.29909375
transcript.pyannote[2737].end 15216.72471875
transcript.pyannote[2738].speaker SPEAKER_23
transcript.pyannote[2738].start 15217.34909375
transcript.pyannote[2738].end 15219.86346875
transcript.pyannote[2739].speaker SPEAKER_23
transcript.pyannote[2739].start 15220.31909375
transcript.pyannote[2739].end 15222.00659375
transcript.pyannote[2740].speaker SPEAKER_23
transcript.pyannote[2740].start 15222.32721875
transcript.pyannote[2740].end 15224.14971875
transcript.pyannote[2741].speaker SPEAKER_23
transcript.pyannote[2741].start 15224.57159375
transcript.pyannote[2741].end 15227.13659375
transcript.pyannote[2742].speaker SPEAKER_23
transcript.pyannote[2742].start 15227.64284375
transcript.pyannote[2742].end 15229.68471875
transcript.pyannote[2743].speaker SPEAKER_23
transcript.pyannote[2743].start 15230.15721875
transcript.pyannote[2743].end 15232.04721875
transcript.pyannote[2744].speaker SPEAKER_23
transcript.pyannote[2744].start 15232.36784375
transcript.pyannote[2744].end 15234.12284375
transcript.pyannote[2745].speaker SPEAKER_23
transcript.pyannote[2745].start 15234.59534375
transcript.pyannote[2745].end 15234.93284375
transcript.pyannote[2746].speaker SPEAKER_23
transcript.pyannote[2746].start 15235.74284375
transcript.pyannote[2746].end 15237.58221875
transcript.pyannote[2747].speaker SPEAKER_23
transcript.pyannote[2747].start 15238.27409375
transcript.pyannote[2747].end 15239.99534375
transcript.pyannote[2748].speaker SPEAKER_23
transcript.pyannote[2748].start 15240.53534375
transcript.pyannote[2748].end 15242.59409375
transcript.pyannote[2749].speaker SPEAKER_23
transcript.pyannote[2749].start 15243.21846875
transcript.pyannote[2749].end 15245.22659375
transcript.pyannote[2750].speaker SPEAKER_23
transcript.pyannote[2750].start 15245.83409375
transcript.pyannote[2750].end 15247.06596875
transcript.pyannote[2751].speaker SPEAKER_23
transcript.pyannote[2751].start 15247.42034375
transcript.pyannote[2751].end 15248.56784375
transcript.pyannote[2752].speaker SPEAKER_23
transcript.pyannote[2752].start 15248.95596875
transcript.pyannote[2752].end 15250.93034375
transcript.pyannote[2753].speaker SPEAKER_23
transcript.pyannote[2753].start 15252.09471875
transcript.pyannote[2753].end 15253.00596875
transcript.pyannote[2754].speaker SPEAKER_23
transcript.pyannote[2754].start 15254.17034375
transcript.pyannote[2754].end 15255.60471875
transcript.pyannote[2755].speaker SPEAKER_23
transcript.pyannote[2755].start 15256.19534375
transcript.pyannote[2755].end 15264.76784375
transcript.pyannote[2756].speaker SPEAKER_18
transcript.pyannote[2756].start 15266.18534375
transcript.pyannote[2756].end 15268.54784375
transcript.pyannote[2757].speaker SPEAKER_18
transcript.pyannote[2757].start 15268.68284375
transcript.pyannote[2757].end 15274.13346875
transcript.pyannote[2758].speaker SPEAKER_23
transcript.pyannote[2758].start 15270.38721875
transcript.pyannote[2758].end 15270.96096875
transcript.pyannote[2759].speaker SPEAKER_23
transcript.pyannote[2759].start 15271.83846875
transcript.pyannote[2759].end 15271.97346875
transcript.pyannote[2760].speaker SPEAKER_18
transcript.pyannote[2760].start 15274.48784375
transcript.pyannote[2760].end 15276.24284375
transcript.pyannote[2761].speaker SPEAKER_18
transcript.pyannote[2761].start 15276.79971875
transcript.pyannote[2761].end 15279.01034375
transcript.pyannote[2762].speaker SPEAKER_18
transcript.pyannote[2762].start 15279.28034375
transcript.pyannote[2762].end 15282.80721875
transcript.pyannote[2763].speaker SPEAKER_23
transcript.pyannote[2763].start 15279.36471875
transcript.pyannote[2763].end 15280.29284375
transcript.pyannote[2764].speaker SPEAKER_23
transcript.pyannote[2764].start 15280.81596875
transcript.pyannote[2764].end 15281.13659375
transcript.pyannote[2765].speaker SPEAKER_23
transcript.pyannote[2765].start 15283.66784375
transcript.pyannote[2765].end 15287.05971875
transcript.pyannote[2766].speaker SPEAKER_23
transcript.pyannote[2766].start 15287.93721875
transcript.pyannote[2766].end 15289.18596875
transcript.pyannote[2767].speaker SPEAKER_23
transcript.pyannote[2767].start 15289.54034375
transcript.pyannote[2767].end 15292.52721875
transcript.pyannote[2768].speaker SPEAKER_23
transcript.pyannote[2768].start 15292.88159375
transcript.pyannote[2768].end 15296.86409375
transcript.pyannote[2769].speaker SPEAKER_23
transcript.pyannote[2769].start 15297.23534375
transcript.pyannote[2769].end 15299.85096875
transcript.pyannote[2770].speaker SPEAKER_23
transcript.pyannote[2770].start 15300.37409375
transcript.pyannote[2770].end 15301.52159375
transcript.pyannote[2771].speaker SPEAKER_23
transcript.pyannote[2771].start 15302.16284375
transcript.pyannote[2771].end 15303.83346875
transcript.pyannote[2772].speaker SPEAKER_23
transcript.pyannote[2772].start 15304.33971875
transcript.pyannote[2772].end 15307.37721875
transcript.pyannote[2773].speaker SPEAKER_23
transcript.pyannote[2773].start 15307.91721875
transcript.pyannote[2773].end 15309.06471875
transcript.pyannote[2774].speaker SPEAKER_23
transcript.pyannote[2774].start 15309.80721875
transcript.pyannote[2774].end 15310.49909375
transcript.pyannote[2775].speaker SPEAKER_18
transcript.pyannote[2775].start 15309.84096875
transcript.pyannote[2775].end 15315.07221875
transcript.pyannote[2776].speaker SPEAKER_23
transcript.pyannote[2776].start 15311.69721875
transcript.pyannote[2776].end 15313.36784375
transcript.pyannote[2777].speaker SPEAKER_23
transcript.pyannote[2777].start 15315.07221875
transcript.pyannote[2777].end 15316.84409375
transcript.pyannote[2778].speaker SPEAKER_18
transcript.pyannote[2778].start 15316.84409375
transcript.pyannote[2778].end 15321.70409375
transcript.pyannote[2779].speaker SPEAKER_23
transcript.pyannote[2779].start 15317.09721875
transcript.pyannote[2779].end 15317.65409375
transcript.pyannote[2780].speaker SPEAKER_23
transcript.pyannote[2780].start 15321.70409375
transcript.pyannote[2780].end 15323.96534375
transcript.pyannote[2781].speaker SPEAKER_18
transcript.pyannote[2781].start 15322.76721875
transcript.pyannote[2781].end 15323.17221875
transcript.pyannote[2782].speaker SPEAKER_18
transcript.pyannote[2782].start 15323.96534375
transcript.pyannote[2782].end 15328.97721875
transcript.pyannote[2783].speaker SPEAKER_23
transcript.pyannote[2783].start 15324.30284375
transcript.pyannote[2783].end 15324.82596875
transcript.pyannote[2784].speaker SPEAKER_23
transcript.pyannote[2784].start 15324.99471875
transcript.pyannote[2784].end 15325.38284375
transcript.pyannote[2785].speaker SPEAKER_23
transcript.pyannote[2785].start 15327.71159375
transcript.pyannote[2785].end 15331.30596875
transcript.pyannote[2786].speaker SPEAKER_18
transcript.pyannote[2786].start 15330.69846875
transcript.pyannote[2786].end 15331.06971875
transcript.pyannote[2787].speaker SPEAKER_23
transcript.pyannote[2787].start 15331.67721875
transcript.pyannote[2787].end 15332.63909375
transcript.pyannote[2788].speaker SPEAKER_18
transcript.pyannote[2788].start 15332.14971875
transcript.pyannote[2788].end 15332.48721875
transcript.pyannote[2789].speaker SPEAKER_18
transcript.pyannote[2789].start 15333.36471875
transcript.pyannote[2789].end 15333.95534375
transcript.pyannote[2790].speaker SPEAKER_23
transcript.pyannote[2790].start 15333.58409375
transcript.pyannote[2790].end 15333.85409375
transcript.pyannote[2791].speaker SPEAKER_18
transcript.pyannote[2791].start 15334.42784375
transcript.pyannote[2791].end 15335.22096875
transcript.pyannote[2792].speaker SPEAKER_23
transcript.pyannote[2792].start 15335.15346875
transcript.pyannote[2792].end 15336.55409375
transcript.pyannote[2793].speaker SPEAKER_23
transcript.pyannote[2793].start 15337.22909375
transcript.pyannote[2793].end 15339.10221875
transcript.pyannote[2794].speaker SPEAKER_23
transcript.pyannote[2794].start 15340.16534375
transcript.pyannote[2794].end 15342.51096875
transcript.pyannote[2795].speaker SPEAKER_23
transcript.pyannote[2795].start 15343.05096875
transcript.pyannote[2795].end 15349.49721875
transcript.pyannote[2796].speaker SPEAKER_23
transcript.pyannote[2796].start 15350.32409375
transcript.pyannote[2796].end 15352.78784375
transcript.pyannote[2797].speaker SPEAKER_23
transcript.pyannote[2797].start 15353.19284375
transcript.pyannote[2797].end 15354.08721875
transcript.pyannote[2798].speaker SPEAKER_23
transcript.pyannote[2798].start 15355.08284375
transcript.pyannote[2798].end 15355.90971875
transcript.pyannote[2799].speaker SPEAKER_23
transcript.pyannote[2799].start 15356.41596875
transcript.pyannote[2799].end 15357.29346875
transcript.pyannote[2800].speaker SPEAKER_23
transcript.pyannote[2800].start 15357.96846875
transcript.pyannote[2800].end 15360.90471875
transcript.pyannote[2801].speaker SPEAKER_23
transcript.pyannote[2801].start 15361.30971875
transcript.pyannote[2801].end 15364.07721875
transcript.pyannote[2802].speaker SPEAKER_23
transcript.pyannote[2802].start 15364.49909375
transcript.pyannote[2802].end 15365.64659375
transcript.pyannote[2803].speaker SPEAKER_23
transcript.pyannote[2803].start 15366.01784375
transcript.pyannote[2803].end 15366.79409375
transcript.pyannote[2804].speaker SPEAKER_23
transcript.pyannote[2804].start 15367.06409375
transcript.pyannote[2804].end 15368.66721875
transcript.pyannote[2805].speaker SPEAKER_23
transcript.pyannote[2805].start 15369.71346875
transcript.pyannote[2805].end 15369.84846875
transcript.pyannote[2806].speaker SPEAKER_23
transcript.pyannote[2806].start 15370.40534375
transcript.pyannote[2806].end 15374.72534375
transcript.pyannote[2807].speaker SPEAKER_23
transcript.pyannote[2807].start 15375.72096875
transcript.pyannote[2807].end 15377.32409375
transcript.pyannote[2808].speaker SPEAKER_23
transcript.pyannote[2808].start 15377.96534375
transcript.pyannote[2808].end 15380.93534375
transcript.pyannote[2809].speaker SPEAKER_23
transcript.pyannote[2809].start 15382.45409375
transcript.pyannote[2809].end 15385.52534375
transcript.pyannote[2810].speaker SPEAKER_23
transcript.pyannote[2810].start 15386.25096875
transcript.pyannote[2810].end 15389.47409375
transcript.pyannote[2811].speaker SPEAKER_23
transcript.pyannote[2811].start 15389.65971875
transcript.pyannote[2811].end 15391.31346875
transcript.pyannote[2812].speaker SPEAKER_23
transcript.pyannote[2812].start 15392.35971875
transcript.pyannote[2812].end 15394.31721875
transcript.pyannote[2813].speaker SPEAKER_23
transcript.pyannote[2813].start 15395.14409375
transcript.pyannote[2813].end 15396.86534375
transcript.pyannote[2814].speaker SPEAKER_23
transcript.pyannote[2814].start 15398.53596875
transcript.pyannote[2814].end 15399.37971875
transcript.pyannote[2815].speaker SPEAKER_23
transcript.pyannote[2815].start 15400.40909375
transcript.pyannote[2815].end 15404.94846875
transcript.pyannote[2816].speaker SPEAKER_23
transcript.pyannote[2816].start 15405.18471875
transcript.pyannote[2816].end 15406.09596875
transcript.pyannote[2817].speaker SPEAKER_23
transcript.pyannote[2817].start 15406.58534375
transcript.pyannote[2817].end 15407.90159375
transcript.pyannote[2818].speaker SPEAKER_23
transcript.pyannote[2818].start 15408.32346875
transcript.pyannote[2818].end 15411.04034375
transcript.pyannote[2819].speaker SPEAKER_23
transcript.pyannote[2819].start 15411.47909375
transcript.pyannote[2819].end 15412.96409375
transcript.pyannote[2820].speaker SPEAKER_23
transcript.pyannote[2820].start 15413.99346875
transcript.pyannote[2820].end 15416.06909375
transcript.pyannote[2821].speaker SPEAKER_23
transcript.pyannote[2821].start 15417.04784375
transcript.pyannote[2821].end 15426.02534375
transcript.pyannote[2822].speaker SPEAKER_23
transcript.pyannote[2822].start 15426.80159375
transcript.pyannote[2822].end 15427.66221875
transcript.pyannote[2823].speaker SPEAKER_18
transcript.pyannote[2823].start 15427.03784375
transcript.pyannote[2823].end 15427.10534375
transcript.pyannote[2824].speaker SPEAKER_18
transcript.pyannote[2824].start 15427.66221875
transcript.pyannote[2824].end 15440.36909375
transcript.pyannote[2825].speaker SPEAKER_23
transcript.pyannote[2825].start 15427.93221875
transcript.pyannote[2825].end 15428.45534375
transcript.pyannote[2826].speaker SPEAKER_23
transcript.pyannote[2826].start 15434.85096875
transcript.pyannote[2826].end 15434.86784375
transcript.pyannote[2827].speaker SPEAKER_23
transcript.pyannote[2827].start 15434.88471875
transcript.pyannote[2827].end 15436.55534375
transcript.pyannote[2828].speaker SPEAKER_23
transcript.pyannote[2828].start 15438.74909375
transcript.pyannote[2828].end 15442.29284375
transcript.pyannote[2829].speaker SPEAKER_18
transcript.pyannote[2829].start 15440.57159375
transcript.pyannote[2829].end 15451.20284375
transcript.pyannote[2830].speaker SPEAKER_23
transcript.pyannote[2830].start 15451.45596875
transcript.pyannote[2830].end 15452.58659375
transcript.pyannote[2831].speaker SPEAKER_23
transcript.pyannote[2831].start 15453.54846875
transcript.pyannote[2831].end 15460.33221875
transcript.pyannote[2832].speaker SPEAKER_23
transcript.pyannote[2832].start 15460.45034375
transcript.pyannote[2832].end 15461.81721875
transcript.pyannote[2833].speaker SPEAKER_23
transcript.pyannote[2833].start 15462.03659375
transcript.pyannote[2833].end 15464.16284375
transcript.pyannote[2834].speaker SPEAKER_07
transcript.pyannote[2834].start 15464.71971875
transcript.pyannote[2834].end 15466.35659375
transcript.pyannote[2835].speaker SPEAKER_07
transcript.pyannote[2835].start 15466.86284375
transcript.pyannote[2835].end 15476.17784375
transcript.pyannote[2836].speaker SPEAKER_02
transcript.pyannote[2836].start 15484.05846875
transcript.pyannote[2836].end 15524.38971875
transcript.pyannote[2837].speaker SPEAKER_02
transcript.pyannote[2837].start 15524.57534375
transcript.pyannote[2837].end 15532.81034375
transcript.pyannote[2838].speaker SPEAKER_02
transcript.pyannote[2838].start 15533.65409375
transcript.pyannote[2838].end 15536.99534375
transcript.pyannote[2839].speaker SPEAKER_07
transcript.pyannote[2839].start 15534.73409375
transcript.pyannote[2839].end 15535.29096875
transcript.pyannote[2840].speaker SPEAKER_02
transcript.pyannote[2840].start 15537.61971875
transcript.pyannote[2840].end 15538.63221875
transcript.pyannote[2841].speaker SPEAKER_07
transcript.pyannote[2841].start 15542.68221875
transcript.pyannote[2841].end 15542.71596875
transcript.pyannote[2842].speaker SPEAKER_02
transcript.pyannote[2842].start 15542.71596875
transcript.pyannote[2842].end 15587.06346875
transcript.pyannote[2843].speaker SPEAKER_02
transcript.pyannote[2843].start 15587.97471875
transcript.pyannote[2843].end 15589.00409375
transcript.pyannote[2844].speaker SPEAKER_02
transcript.pyannote[2844].start 15590.16846875
transcript.pyannote[2844].end 15591.13034375
transcript.pyannote[2845].speaker SPEAKER_02
transcript.pyannote[2845].start 15591.70409375
transcript.pyannote[2845].end 15597.18846875
transcript.pyannote[2846].speaker SPEAKER_00
transcript.pyannote[2846].start 15591.77159375
transcript.pyannote[2846].end 15592.61534375
transcript.pyannote[2847].speaker SPEAKER_02
transcript.pyannote[2847].start 15598.84221875
transcript.pyannote[2847].end 15613.03409375
transcript.pyannote[2848].speaker SPEAKER_02
transcript.pyannote[2848].start 15614.29971875
transcript.pyannote[2848].end 15614.53596875
transcript.pyannote[2849].speaker SPEAKER_02
transcript.pyannote[2849].start 15615.07596875
transcript.pyannote[2849].end 15642.07596875
transcript.pyannote[2850].speaker SPEAKER_18
transcript.pyannote[2850].start 15644.67471875
transcript.pyannote[2850].end 15644.72534375
transcript.pyannote[2851].speaker SPEAKER_02
transcript.pyannote[2851].start 15644.72534375
transcript.pyannote[2851].end 15644.96159375
transcript.pyannote[2852].speaker SPEAKER_18
transcript.pyannote[2852].start 15644.75909375
transcript.pyannote[2852].end 15646.02471875
transcript.pyannote[2853].speaker SPEAKER_02
transcript.pyannote[2853].start 15646.02471875
transcript.pyannote[2853].end 15660.50346875
transcript.pyannote[2854].speaker SPEAKER_18
transcript.pyannote[2854].start 15646.75034375
transcript.pyannote[2854].end 15647.00346875
transcript.pyannote[2855].speaker SPEAKER_18
transcript.pyannote[2855].start 15647.10471875
transcript.pyannote[2855].end 15647.67846875
transcript.pyannote[2856].speaker SPEAKER_18
transcript.pyannote[2856].start 15662.24159375
transcript.pyannote[2856].end 15663.69284375
transcript.pyannote[2857].speaker SPEAKER_18
transcript.pyannote[2857].start 15664.84034375
transcript.pyannote[2857].end 15666.64596875
transcript.pyannote[2858].speaker SPEAKER_02
transcript.pyannote[2858].start 15665.09346875
transcript.pyannote[2858].end 15665.27909375
transcript.pyannote[2859].speaker SPEAKER_02
transcript.pyannote[2859].start 15666.25784375
transcript.pyannote[2859].end 15672.61971875
transcript.pyannote[2860].speaker SPEAKER_18
transcript.pyannote[2860].start 15671.72534375
transcript.pyannote[2860].end 15675.08346875
transcript.pyannote[2861].speaker SPEAKER_18
transcript.pyannote[2861].start 15675.33659375
transcript.pyannote[2861].end 15678.98159375
transcript.pyannote[2862].speaker SPEAKER_02
transcript.pyannote[2862].start 15678.98159375
transcript.pyannote[2862].end 15690.60846875
transcript.pyannote[2863].speaker SPEAKER_18
transcript.pyannote[2863].start 15680.24721875
transcript.pyannote[2863].end 15680.60159375
transcript.pyannote[2864].speaker SPEAKER_18
transcript.pyannote[2864].start 15689.10659375
transcript.pyannote[2864].end 15703.02846875
transcript.pyannote[2865].speaker SPEAKER_02
transcript.pyannote[2865].start 15703.02846875
transcript.pyannote[2865].end 15754.36221875
transcript.pyannote[2866].speaker SPEAKER_18
transcript.pyannote[2866].start 15752.96159375
transcript.pyannote[2866].end 15759.52596875
transcript.pyannote[2867].speaker SPEAKER_18
transcript.pyannote[2867].start 15760.13346875
transcript.pyannote[2867].end 15771.96284375
transcript.pyannote[2868].speaker SPEAKER_02
transcript.pyannote[2868].start 15763.15409375
transcript.pyannote[2868].end 15763.96409375
transcript.pyannote[2869].speaker SPEAKER_25
transcript.pyannote[2869].start 15763.96409375
transcript.pyannote[2869].end 15764.68971875
transcript.pyannote[2870].speaker SPEAKER_02
transcript.pyannote[2870].start 15764.68971875
transcript.pyannote[2870].end 15765.09471875
transcript.pyannote[2871].speaker SPEAKER_02
transcript.pyannote[2871].start 15771.35534375
transcript.pyannote[2871].end 15771.84471875
transcript.pyannote[2872].speaker SPEAKER_02
transcript.pyannote[2872].start 15771.96284375
transcript.pyannote[2872].end 15804.58221875
transcript.pyannote[2873].speaker SPEAKER_18
transcript.pyannote[2873].start 15771.97971875
transcript.pyannote[2873].end 15773.34659375
transcript.pyannote[2874].speaker SPEAKER_18
transcript.pyannote[2874].start 15803.67096875
transcript.pyannote[2874].end 15826.35096875
transcript.pyannote[2875].speaker SPEAKER_02
transcript.pyannote[2875].start 15807.29909375
transcript.pyannote[2875].end 15807.77159375
transcript.pyannote[2876].speaker SPEAKER_02
transcript.pyannote[2876].start 15812.32784375
transcript.pyannote[2876].end 15815.51721875
transcript.pyannote[2877].speaker SPEAKER_02
transcript.pyannote[2877].start 15823.43159375
transcript.pyannote[2877].end 15826.38471875
transcript.pyannote[2878].speaker SPEAKER_18
transcript.pyannote[2878].start 15826.38471875
transcript.pyannote[2878].end 15826.40159375
transcript.pyannote[2879].speaker SPEAKER_02
transcript.pyannote[2879].start 15826.40159375
transcript.pyannote[2879].end 15826.46909375
transcript.pyannote[2880].speaker SPEAKER_18
transcript.pyannote[2880].start 15826.46909375
transcript.pyannote[2880].end 15827.02596875
transcript.pyannote[2881].speaker SPEAKER_02
transcript.pyannote[2881].start 15827.02596875
transcript.pyannote[2881].end 15828.62909375
transcript.pyannote[2882].speaker SPEAKER_02
transcript.pyannote[2882].start 15828.78096875
transcript.pyannote[2882].end 15829.18596875
transcript.pyannote[2883].speaker SPEAKER_18
transcript.pyannote[2883].start 15828.98346875
transcript.pyannote[2883].end 15844.77846875
transcript.pyannote[2884].speaker SPEAKER_02
transcript.pyannote[2884].start 15829.69221875
transcript.pyannote[2884].end 15830.19846875
transcript.pyannote[2885].speaker SPEAKER_02
transcript.pyannote[2885].start 15839.71596875
transcript.pyannote[2885].end 15840.22221875
transcript.pyannote[2886].speaker SPEAKER_02
transcript.pyannote[2886].start 15841.74096875
transcript.pyannote[2886].end 15891.01596875
transcript.pyannote[2887].speaker SPEAKER_00
transcript.pyannote[2887].start 15862.39596875
transcript.pyannote[2887].end 15862.42971875
transcript.pyannote[2888].speaker SPEAKER_25
transcript.pyannote[2888].start 15862.42971875
transcript.pyannote[2888].end 15863.22284375
transcript.pyannote[2889].speaker SPEAKER_18
transcript.pyannote[2889].start 15863.22284375
transcript.pyannote[2889].end 15863.35784375
transcript.pyannote[2890].speaker SPEAKER_25
transcript.pyannote[2890].start 15863.35784375
transcript.pyannote[2890].end 15865.97346875
transcript.pyannote[2891].speaker SPEAKER_18
transcript.pyannote[2891].start 15865.97346875
transcript.pyannote[2891].end 15871.91346875
transcript.pyannote[2892].speaker SPEAKER_07
transcript.pyannote[2892].start 15891.01596875
transcript.pyannote[2892].end 15891.03284375
transcript.pyannote[2893].speaker SPEAKER_02
transcript.pyannote[2893].start 15892.09596875
transcript.pyannote[2893].end 15892.11284375
transcript.pyannote[2894].speaker SPEAKER_07
transcript.pyannote[2894].start 15892.11284375
transcript.pyannote[2894].end 15895.70721875
transcript.pyannote[2895].speaker SPEAKER_10
transcript.pyannote[2895].start 15899.08221875
transcript.pyannote[2895].end 15904.54971875
transcript.pyannote[2896].speaker SPEAKER_10
transcript.pyannote[2896].start 15904.75221875
transcript.pyannote[2896].end 15906.67596875
transcript.pyannote[2897].speaker SPEAKER_07
transcript.pyannote[2897].start 15905.56221875
transcript.pyannote[2897].end 15906.13596875
transcript.pyannote[2898].speaker SPEAKER_10
transcript.pyannote[2898].start 15910.28721875
transcript.pyannote[2898].end 15943.42971875
transcript.pyannote[2899].speaker SPEAKER_10
transcript.pyannote[2899].start 15944.52659375
transcript.pyannote[2899].end 15947.37846875
transcript.pyannote[2900].speaker SPEAKER_10
transcript.pyannote[2900].start 15947.66534375
transcript.pyannote[2900].end 15972.08346875
transcript.pyannote[2901].speaker SPEAKER_10
transcript.pyannote[2901].start 15973.19721875
transcript.pyannote[2901].end 15996.50159375
transcript.pyannote[2902].speaker SPEAKER_10
transcript.pyannote[2902].start 15999.79221875
transcript.pyannote[2902].end 16001.73284375
transcript.pyannote[2903].speaker SPEAKER_18
transcript.pyannote[2903].start 16000.50096875
transcript.pyannote[2903].end 16002.18846875
transcript.pyannote[2904].speaker SPEAKER_18
transcript.pyannote[2904].start 16002.45846875
transcript.pyannote[2904].end 16006.40721875
transcript.pyannote[2905].speaker SPEAKER_10
transcript.pyannote[2905].start 16006.17096875
transcript.pyannote[2905].end 16019.82284375
transcript.pyannote[2906].speaker SPEAKER_18
transcript.pyannote[2906].start 16021.00409375
transcript.pyannote[2906].end 16022.79284375
transcript.pyannote[2907].speaker SPEAKER_10
transcript.pyannote[2907].start 16022.79284375
transcript.pyannote[2907].end 16027.31534375
transcript.pyannote[2908].speaker SPEAKER_18
transcript.pyannote[2908].start 16028.74971875
transcript.pyannote[2908].end 16029.54284375
transcript.pyannote[2909].speaker SPEAKER_10
transcript.pyannote[2909].start 16029.89721875
transcript.pyannote[2909].end 16031.26409375
transcript.pyannote[2910].speaker SPEAKER_18
transcript.pyannote[2910].start 16031.92221875
transcript.pyannote[2910].end 16034.85846875
transcript.pyannote[2911].speaker SPEAKER_10
transcript.pyannote[2911].start 16033.05284375
transcript.pyannote[2911].end 16034.28471875
transcript.pyannote[2912].speaker SPEAKER_10
transcript.pyannote[2912].start 16034.63909375
transcript.pyannote[2912].end 16056.62721875
transcript.pyannote[2913].speaker SPEAKER_10
transcript.pyannote[2913].start 16057.53846875
transcript.pyannote[2913].end 16092.73971875
transcript.pyannote[2914].speaker SPEAKER_04
transcript.pyannote[2914].start 16093.17846875
transcript.pyannote[2914].end 16093.34721875
transcript.pyannote[2915].speaker SPEAKER_04
transcript.pyannote[2915].start 16093.71846875
transcript.pyannote[2915].end 16098.37596875
transcript.pyannote[2916].speaker SPEAKER_10
transcript.pyannote[2916].start 16098.00471875
transcript.pyannote[2916].end 16098.69659375
transcript.pyannote[2917].speaker SPEAKER_04
transcript.pyannote[2917].start 16098.69659375
transcript.pyannote[2917].end 16101.21096875
transcript.pyannote[2918].speaker SPEAKER_10
transcript.pyannote[2918].start 16098.74721875
transcript.pyannote[2918].end 16120.43159375
transcript.pyannote[2919].speaker SPEAKER_04
transcript.pyannote[2919].start 16102.69596875
transcript.pyannote[2919].end 16102.96596875
transcript.pyannote[2920].speaker SPEAKER_10
transcript.pyannote[2920].start 16121.83221875
transcript.pyannote[2920].end 16146.48659375
transcript.pyannote[2921].speaker SPEAKER_25
transcript.pyannote[2921].start 16146.48659375
transcript.pyannote[2921].end 16146.62159375
transcript.pyannote[2922].speaker SPEAKER_10
transcript.pyannote[2922].start 16146.62159375
transcript.pyannote[2922].end 16147.97159375
transcript.pyannote[2923].speaker SPEAKER_25
transcript.pyannote[2923].start 16146.67221875
transcript.pyannote[2923].end 16146.70596875
transcript.pyannote[2924].speaker SPEAKER_10
transcript.pyannote[2924].start 16148.98409375
transcript.pyannote[2924].end 16168.01909375
transcript.pyannote[2925].speaker SPEAKER_10
transcript.pyannote[2925].start 16169.97659375
transcript.pyannote[2925].end 16176.20346875
transcript.pyannote[2926].speaker SPEAKER_25
transcript.pyannote[2926].start 16176.20346875
transcript.pyannote[2926].end 16176.38909375
transcript.pyannote[2927].speaker SPEAKER_10
transcript.pyannote[2927].start 16176.60846875
transcript.pyannote[2927].end 16186.86846875
transcript.pyannote[2928].speaker SPEAKER_10
transcript.pyannote[2928].start 16187.56034375
transcript.pyannote[2928].end 16192.03221875
transcript.pyannote[2929].speaker SPEAKER_04
transcript.pyannote[2929].start 16192.03221875
transcript.pyannote[2929].end 16201.80284375
transcript.pyannote[2930].speaker SPEAKER_10
transcript.pyannote[2930].start 16196.99346875
transcript.pyannote[2930].end 16197.33096875
transcript.pyannote[2931].speaker SPEAKER_10
transcript.pyannote[2931].start 16198.49534375
transcript.pyannote[2931].end 16204.77284375
transcript.pyannote[2932].speaker SPEAKER_04
transcript.pyannote[2932].start 16204.77284375
transcript.pyannote[2932].end 16206.83159375
transcript.pyannote[2933].speaker SPEAKER_10
transcript.pyannote[2933].start 16204.94159375
transcript.pyannote[2933].end 16205.98784375
transcript.pyannote[2934].speaker SPEAKER_10
transcript.pyannote[2934].start 16206.52784375
transcript.pyannote[2934].end 16210.67909375
transcript.pyannote[2935].speaker SPEAKER_04
transcript.pyannote[2935].start 16210.27409375
transcript.pyannote[2935].end 16213.71659375
transcript.pyannote[2936].speaker SPEAKER_10
transcript.pyannote[2936].start 16212.29909375
transcript.pyannote[2936].end 16227.36846875
transcript.pyannote[2937].speaker SPEAKER_04
transcript.pyannote[2937].start 16224.36471875
transcript.pyannote[2937].end 16224.38159375
transcript.pyannote[2938].speaker SPEAKER_04
transcript.pyannote[2938].start 16227.36846875
transcript.pyannote[2938].end 16228.31346875
transcript.pyannote[2939].speaker SPEAKER_10
transcript.pyannote[2939].start 16227.99284375
transcript.pyannote[2939].end 16237.51034375
transcript.pyannote[2940].speaker SPEAKER_04
transcript.pyannote[2940].start 16231.85721875
transcript.pyannote[2940].end 16232.32971875
transcript.pyannote[2941].speaker SPEAKER_07
transcript.pyannote[2941].start 16235.02971875
transcript.pyannote[2941].end 16237.54409375
transcript.pyannote[2942].speaker SPEAKER_10
transcript.pyannote[2942].start 16238.08409375
transcript.pyannote[2942].end 16238.11784375
transcript.pyannote[2943].speaker SPEAKER_07
transcript.pyannote[2943].start 16238.11784375
transcript.pyannote[2943].end 16239.85596875
transcript.pyannote[2944].speaker SPEAKER_07
transcript.pyannote[2944].start 16240.21034375
transcript.pyannote[2944].end 16253.40659375
transcript.pyannote[2945].speaker SPEAKER_07
transcript.pyannote[2945].start 16254.55409375
transcript.pyannote[2945].end 16255.41471875
transcript.pyannote[2946].speaker SPEAKER_07
transcript.pyannote[2946].start 16255.81971875
transcript.pyannote[2946].end 16258.38471875
transcript.pyannote[2947].speaker SPEAKER_07
transcript.pyannote[2947].start 16258.43534375
transcript.pyannote[2947].end 16260.73034375
transcript.pyannote[2948].speaker SPEAKER_32
transcript.pyannote[2948].start 16266.04596875
transcript.pyannote[2948].end 16266.53534375
transcript.pyannote[2949].speaker SPEAKER_17
transcript.pyannote[2949].start 16275.69846875
transcript.pyannote[2949].end 16278.95534375
transcript.pyannote[2950].speaker SPEAKER_17
transcript.pyannote[2950].start 16279.52909375
transcript.pyannote[2950].end 16289.73846875
transcript.pyannote[2951].speaker SPEAKER_17
transcript.pyannote[2951].start 16290.76784375
transcript.pyannote[2951].end 16291.47659375
transcript.pyannote[2952].speaker SPEAKER_17
transcript.pyannote[2952].start 16291.84784375
transcript.pyannote[2952].end 16298.22659375
transcript.pyannote[2953].speaker SPEAKER_00
transcript.pyannote[2953].start 16292.77596875
transcript.pyannote[2953].end 16292.82659375
transcript.pyannote[2954].speaker SPEAKER_07
transcript.pyannote[2954].start 16292.82659375
transcript.pyannote[2954].end 16293.78846875
transcript.pyannote[2955].speaker SPEAKER_00
transcript.pyannote[2955].start 16293.78846875
transcript.pyannote[2955].end 16293.80534375
transcript.pyannote[2956].speaker SPEAKER_07
transcript.pyannote[2956].start 16301.34846875
transcript.pyannote[2956].end 16302.00659375
transcript.pyannote[2957].speaker SPEAKER_17
transcript.pyannote[2957].start 16302.91784375
transcript.pyannote[2957].end 16304.08221875
transcript.pyannote[2958].speaker SPEAKER_17
transcript.pyannote[2958].start 16304.67284375
transcript.pyannote[2958].end 16306.56284375
transcript.pyannote[2959].speaker SPEAKER_07
transcript.pyannote[2959].start 16305.33096875
transcript.pyannote[2959].end 16306.27596875
transcript.pyannote[2960].speaker SPEAKER_07
transcript.pyannote[2960].start 16306.56284375
transcript.pyannote[2960].end 16306.96784375
transcript.pyannote[2961].speaker SPEAKER_17
transcript.pyannote[2961].start 16306.96784375
transcript.pyannote[2961].end 16307.72721875
transcript.pyannote[2962].speaker SPEAKER_17
transcript.pyannote[2962].start 16310.24159375
transcript.pyannote[2962].end 16312.70534375
transcript.pyannote[2963].speaker SPEAKER_17
transcript.pyannote[2963].start 16313.24534375
transcript.pyannote[2963].end 16315.32096875
transcript.pyannote[2964].speaker SPEAKER_17
transcript.pyannote[2964].start 16315.77659375
transcript.pyannote[2964].end 16317.76784375
transcript.pyannote[2965].speaker SPEAKER_17
transcript.pyannote[2965].start 16318.10534375
transcript.pyannote[2965].end 16320.88971875
transcript.pyannote[2966].speaker SPEAKER_07
transcript.pyannote[2966].start 16319.96159375
transcript.pyannote[2966].end 16320.24846875
transcript.pyannote[2967].speaker SPEAKER_07
transcript.pyannote[2967].start 16320.88971875
transcript.pyannote[2967].end 16320.97409375
transcript.pyannote[2968].speaker SPEAKER_37
transcript.pyannote[2968].start 16320.97409375
transcript.pyannote[2968].end 16321.80096875
transcript.pyannote[2969].speaker SPEAKER_17
transcript.pyannote[2969].start 16321.27784375
transcript.pyannote[2969].end 16321.73346875
transcript.pyannote[2970].speaker SPEAKER_17
transcript.pyannote[2970].start 16322.66159375
transcript.pyannote[2970].end 16325.17596875
transcript.pyannote[2971].speaker SPEAKER_17
transcript.pyannote[2971].start 16325.86784375
transcript.pyannote[2971].end 16329.24284375
transcript.pyannote[2972].speaker SPEAKER_17
transcript.pyannote[2972].start 16329.56346875
transcript.pyannote[2972].end 16341.03846875
transcript.pyannote[2973].speaker SPEAKER_17
transcript.pyannote[2973].start 16341.47721875
transcript.pyannote[2973].end 16356.31034375
transcript.pyannote[2974].speaker SPEAKER_17
transcript.pyannote[2974].start 16356.56346875
transcript.pyannote[2974].end 16362.23346875
transcript.pyannote[2975].speaker SPEAKER_17
transcript.pyannote[2975].start 16365.05159375
transcript.pyannote[2975].end 16367.88659375
transcript.pyannote[2976].speaker SPEAKER_17
transcript.pyannote[2976].start 16370.04659375
transcript.pyannote[2976].end 16383.76596875
transcript.pyannote[2977].speaker SPEAKER_13
transcript.pyannote[2977].start 16386.51659375
transcript.pyannote[2977].end 16388.03534375
transcript.pyannote[2978].speaker SPEAKER_13
transcript.pyannote[2978].start 16388.69346875
transcript.pyannote[2978].end 16394.41409375
transcript.pyannote[2979].speaker SPEAKER_13
transcript.pyannote[2979].start 16395.05534375
transcript.pyannote[2979].end 16395.93284375
transcript.pyannote[2980].speaker SPEAKER_17
transcript.pyannote[2980].start 16398.21096875
transcript.pyannote[2980].end 16402.91909375
transcript.pyannote[2981].speaker SPEAKER_13
transcript.pyannote[2981].start 16398.43034375
transcript.pyannote[2981].end 16399.54409375
transcript.pyannote[2982].speaker SPEAKER_17
transcript.pyannote[2982].start 16403.56034375
transcript.pyannote[2982].end 16404.91034375
transcript.pyannote[2983].speaker SPEAKER_13
transcript.pyannote[2983].start 16406.19284375
transcript.pyannote[2983].end 16407.22221875
transcript.pyannote[2984].speaker SPEAKER_13
transcript.pyannote[2984].start 16411.32284375
transcript.pyannote[2984].end 16412.72346875
transcript.pyannote[2985].speaker SPEAKER_17
transcript.pyannote[2985].start 16413.29721875
transcript.pyannote[2985].end 16423.69221875
transcript.pyannote[2986].speaker SPEAKER_13
transcript.pyannote[2986].start 16414.49534375
transcript.pyannote[2986].end 16416.36846875
transcript.pyannote[2987].speaker SPEAKER_17
transcript.pyannote[2987].start 16423.92846875
transcript.pyannote[2987].end 16432.53471875
transcript.pyannote[2988].speaker SPEAKER_13
transcript.pyannote[2988].start 16433.47971875
transcript.pyannote[2988].end 16434.69471875
transcript.pyannote[2989].speaker SPEAKER_17
transcript.pyannote[2989].start 16434.81284375
transcript.pyannote[2989].end 16435.21784375
transcript.pyannote[2990].speaker SPEAKER_13
transcript.pyannote[2990].start 16434.82971875
transcript.pyannote[2990].end 16438.81221875
transcript.pyannote[2991].speaker SPEAKER_17
transcript.pyannote[2991].start 16438.76159375
transcript.pyannote[2991].end 16446.67596875
transcript.pyannote[2992].speaker SPEAKER_13
transcript.pyannote[2992].start 16447.48596875
transcript.pyannote[2992].end 16453.51034375
transcript.pyannote[2993].speaker SPEAKER_17
transcript.pyannote[2993].start 16453.51034375
transcript.pyannote[2993].end 16464.61409375
transcript.pyannote[2994].speaker SPEAKER_17
transcript.pyannote[2994].start 16464.68159375
transcript.pyannote[2994].end 16466.45346875
transcript.pyannote[2995].speaker SPEAKER_17
transcript.pyannote[2995].start 16467.38159375
transcript.pyannote[2995].end 16472.73096875
transcript.pyannote[2996].speaker SPEAKER_17
transcript.pyannote[2996].start 16473.05159375
transcript.pyannote[2996].end 16474.21596875
transcript.pyannote[2997].speaker SPEAKER_17
transcript.pyannote[2997].start 16474.94159375
transcript.pyannote[2997].end 16475.48159375
transcript.pyannote[2998].speaker SPEAKER_17
transcript.pyannote[2998].start 16475.66721875
transcript.pyannote[2998].end 16475.68409375
transcript.pyannote[2999].speaker SPEAKER_13
transcript.pyannote[2999].start 16475.68409375
transcript.pyannote[2999].end 16490.11221875
transcript.pyannote[3000].speaker SPEAKER_17
transcript.pyannote[3000].start 16487.91846875
transcript.pyannote[3000].end 16488.66096875
transcript.pyannote[3001].speaker SPEAKER_17
transcript.pyannote[3001].start 16490.06159375
transcript.pyannote[3001].end 16494.02721875
transcript.pyannote[3002].speaker SPEAKER_17
transcript.pyannote[3002].start 16494.48284375
transcript.pyannote[3002].end 16496.76096875
transcript.pyannote[3003].speaker SPEAKER_17
transcript.pyannote[3003].start 16497.16596875
transcript.pyannote[3003].end 16529.36346875
transcript.pyannote[3004].speaker SPEAKER_17
transcript.pyannote[3004].start 16529.54909375
transcript.pyannote[3004].end 16532.78909375
transcript.pyannote[3005].speaker SPEAKER_17
transcript.pyannote[3005].start 16533.48096875
transcript.pyannote[3005].end 16534.79721875
transcript.pyannote[3006].speaker SPEAKER_17
transcript.pyannote[3006].start 16535.06721875
transcript.pyannote[3006].end 16546.93034375
transcript.pyannote[3007].speaker SPEAKER_17
transcript.pyannote[3007].start 16547.58846875
transcript.pyannote[3007].end 16547.95971875
transcript.pyannote[3008].speaker SPEAKER_17
transcript.pyannote[3008].start 16548.44909375
transcript.pyannote[3008].end 16552.48221875
transcript.pyannote[3009].speaker SPEAKER_17
transcript.pyannote[3009].start 16552.76909375
transcript.pyannote[3009].end 16583.21159375
transcript.pyannote[3010].speaker SPEAKER_17
transcript.pyannote[3010].start 16584.44346875
transcript.pyannote[3010].end 16604.00159375
transcript.pyannote[3011].speaker SPEAKER_33
transcript.pyannote[3011].start 16604.28846875
transcript.pyannote[3011].end 16618.19346875
transcript.pyannote[3012].speaker SPEAKER_17
transcript.pyannote[3012].start 16618.68284375
transcript.pyannote[3012].end 16620.47159375
transcript.pyannote[3013].speaker SPEAKER_33
transcript.pyannote[3013].start 16619.72909375
transcript.pyannote[3013].end 16621.85534375
transcript.pyannote[3014].speaker SPEAKER_17
transcript.pyannote[3014].start 16622.44596875
transcript.pyannote[3014].end 16626.07409375
transcript.pyannote[3015].speaker SPEAKER_17
transcript.pyannote[3015].start 16626.12471875
transcript.pyannote[3015].end 16640.68784375
transcript.pyannote[3016].speaker SPEAKER_33
transcript.pyannote[3016].start 16641.21096875
transcript.pyannote[3016].end 16648.38284375
transcript.pyannote[3017].speaker SPEAKER_17
transcript.pyannote[3017].start 16648.95659375
transcript.pyannote[3017].end 16650.64409375
transcript.pyannote[3018].speaker SPEAKER_33
transcript.pyannote[3018].start 16650.64409375
transcript.pyannote[3018].end 16650.93096875
transcript.pyannote[3019].speaker SPEAKER_17
transcript.pyannote[3019].start 16650.93096875
transcript.pyannote[3019].end 16651.62284375
transcript.pyannote[3020].speaker SPEAKER_17
transcript.pyannote[3020].start 16652.36534375
transcript.pyannote[3020].end 16654.03596875
transcript.pyannote[3021].speaker SPEAKER_17
transcript.pyannote[3021].start 16654.39034375
transcript.pyannote[3021].end 16655.03159375
transcript.pyannote[3022].speaker SPEAKER_17
transcript.pyannote[3022].start 16655.20034375
transcript.pyannote[3022].end 16663.01346875
transcript.pyannote[3023].speaker SPEAKER_33
transcript.pyannote[3023].start 16663.80659375
transcript.pyannote[3023].end 16666.47284375
transcript.pyannote[3024].speaker SPEAKER_33
transcript.pyannote[3024].start 16666.50659375
transcript.pyannote[3024].end 16666.87784375
transcript.pyannote[3025].speaker SPEAKER_33
transcript.pyannote[3025].start 16667.21534375
transcript.pyannote[3025].end 16668.05909375
transcript.pyannote[3026].speaker SPEAKER_17
transcript.pyannote[3026].start 16667.41784375
transcript.pyannote[3026].end 16668.68346875
transcript.pyannote[3027].speaker SPEAKER_33
transcript.pyannote[3027].start 16668.68346875
transcript.pyannote[3027].end 16677.23909375
transcript.pyannote[3028].speaker SPEAKER_17
transcript.pyannote[3028].start 16676.71596875
transcript.pyannote[3028].end 16679.65221875
transcript.pyannote[3029].speaker SPEAKER_33
transcript.pyannote[3029].start 16679.65221875
transcript.pyannote[3029].end 16690.36784375
transcript.pyannote[3030].speaker SPEAKER_17
transcript.pyannote[3030].start 16691.05971875
transcript.pyannote[3030].end 16692.61221875
transcript.pyannote[3031].speaker SPEAKER_17
transcript.pyannote[3031].start 16692.78096875
transcript.pyannote[3031].end 16697.91096875
transcript.pyannote[3032].speaker SPEAKER_17
transcript.pyannote[3032].start 16698.65346875
transcript.pyannote[3032].end 16700.05409375
transcript.pyannote[3033].speaker SPEAKER_17
transcript.pyannote[3033].start 16700.72909375
transcript.pyannote[3033].end 16704.72846875
transcript.pyannote[3034].speaker SPEAKER_17
transcript.pyannote[3034].start 16705.15034375
transcript.pyannote[3034].end 16707.68159375
transcript.pyannote[3035].speaker SPEAKER_17
transcript.pyannote[3035].start 16708.05284375
transcript.pyannote[3035].end 16715.84909375
transcript.pyannote[3036].speaker SPEAKER_33
transcript.pyannote[3036].start 16716.49034375
transcript.pyannote[3036].end 16733.33159375
transcript.pyannote[3037].speaker SPEAKER_17
transcript.pyannote[3037].start 16732.55534375
transcript.pyannote[3037].end 16735.12034375
transcript.pyannote[3038].speaker SPEAKER_33
transcript.pyannote[3038].start 16734.10784375
transcript.pyannote[3038].end 16747.59096875
transcript.pyannote[3039].speaker SPEAKER_17
transcript.pyannote[3039].start 16748.13096875
transcript.pyannote[3039].end 16753.09221875
transcript.pyannote[3040].speaker SPEAKER_33
transcript.pyannote[3040].start 16753.59846875
transcript.pyannote[3040].end 16758.57659375
transcript.pyannote[3041].speaker SPEAKER_17
transcript.pyannote[3041].start 16754.39159375
transcript.pyannote[3041].end 16754.76284375
transcript.pyannote[3042].speaker SPEAKER_17
transcript.pyannote[3042].start 16757.53034375
transcript.pyannote[3042].end 16760.66909375
transcript.pyannote[3043].speaker SPEAKER_17
transcript.pyannote[3043].start 16760.68596875
transcript.pyannote[3043].end 16771.73909375
transcript.pyannote[3044].speaker SPEAKER_17
transcript.pyannote[3044].start 16772.17784375
transcript.pyannote[3044].end 16779.68721875
transcript.pyannote[3045].speaker SPEAKER_17
transcript.pyannote[3045].start 16780.69971875
transcript.pyannote[3045].end 16802.23221875
transcript.pyannote[3046].speaker SPEAKER_17
transcript.pyannote[3046].start 16803.24471875
transcript.pyannote[3046].end 16809.67409375
transcript.pyannote[3047].speaker SPEAKER_33
transcript.pyannote[3047].start 16809.92721875
transcript.pyannote[3047].end 16813.04909375
transcript.pyannote[3048].speaker SPEAKER_17
transcript.pyannote[3048].start 16811.88471875
transcript.pyannote[3048].end 16813.82534375
transcript.pyannote[3049].speaker SPEAKER_17
transcript.pyannote[3049].start 16813.97721875
transcript.pyannote[3049].end 16816.35659375
transcript.pyannote[3050].speaker SPEAKER_33
transcript.pyannote[3050].start 16815.66471875
transcript.pyannote[3050].end 16819.25909375
transcript.pyannote[3051].speaker SPEAKER_17
transcript.pyannote[3051].start 16818.65159375
transcript.pyannote[3051].end 16820.32221875
transcript.pyannote[3052].speaker SPEAKER_33
transcript.pyannote[3052].start 16820.67659375
transcript.pyannote[3052].end 16821.75659375
transcript.pyannote[3053].speaker SPEAKER_17
transcript.pyannote[3053].start 16820.87909375
transcript.pyannote[3053].end 16823.47784375
transcript.pyannote[3054].speaker SPEAKER_33
transcript.pyannote[3054].start 16823.03909375
transcript.pyannote[3054].end 16835.13846875
transcript.pyannote[3055].speaker SPEAKER_17
transcript.pyannote[3055].start 16834.29471875
transcript.pyannote[3055].end 16841.09534375
transcript.pyannote[3056].speaker SPEAKER_33
transcript.pyannote[3056].start 16840.89284375
transcript.pyannote[3056].end 16843.67721875
transcript.pyannote[3057].speaker SPEAKER_17
transcript.pyannote[3057].start 16842.85034375
transcript.pyannote[3057].end 16851.82784375
transcript.pyannote[3058].speaker SPEAKER_33
transcript.pyannote[3058].start 16851.94596875
transcript.pyannote[3058].end 16855.30409375
transcript.pyannote[3059].speaker SPEAKER_17
transcript.pyannote[3059].start 16855.55721875
transcript.pyannote[3059].end 16857.71721875
transcript.pyannote[3060].speaker SPEAKER_33
transcript.pyannote[3060].start 16858.07159375
transcript.pyannote[3060].end 16865.95221875
transcript.pyannote[3061].speaker SPEAKER_17
transcript.pyannote[3061].start 16865.49659375
transcript.pyannote[3061].end 16867.03221875
transcript.pyannote[3062].speaker SPEAKER_17
transcript.pyannote[3062].start 16867.45409375
transcript.pyannote[3062].end 16867.77471875
transcript.pyannote[3063].speaker SPEAKER_33
transcript.pyannote[3063].start 16868.73659375
transcript.pyannote[3063].end 16878.22034375
transcript.pyannote[3064].speaker SPEAKER_17
transcript.pyannote[3064].start 16876.19534375
transcript.pyannote[3064].end 16886.91096875
transcript.pyannote[3065].speaker SPEAKER_33
transcript.pyannote[3065].start 16888.00784375
transcript.pyannote[3065].end 16896.42846875
transcript.pyannote[3066].speaker SPEAKER_33
transcript.pyannote[3066].start 16897.06971875
transcript.pyannote[3066].end 16898.94284375
transcript.pyannote[3067].speaker SPEAKER_17
transcript.pyannote[3067].start 16902.23346875
transcript.pyannote[3067].end 16906.04721875
transcript.pyannote[3068].speaker SPEAKER_17
transcript.pyannote[3068].start 16906.06409375
transcript.pyannote[3068].end 16910.24909375
transcript.pyannote[3069].speaker SPEAKER_33
transcript.pyannote[3069].start 16910.31659375
transcript.pyannote[3069].end 16920.88034375
transcript.pyannote[3070].speaker SPEAKER_33
transcript.pyannote[3070].start 16921.13346875
transcript.pyannote[3070].end 16925.16659375
transcript.pyannote[3071].speaker SPEAKER_33
transcript.pyannote[3071].start 16925.67284375
transcript.pyannote[3071].end 16936.27034375
transcript.pyannote[3072].speaker SPEAKER_17
transcript.pyannote[3072].start 16935.93284375
transcript.pyannote[3072].end 16938.63284375
transcript.pyannote[3073].speaker SPEAKER_17
transcript.pyannote[3073].start 16939.32471875
transcript.pyannote[3073].end 16942.36221875
transcript.pyannote[3074].speaker SPEAKER_17
transcript.pyannote[3074].start 16942.75034375
transcript.pyannote[3074].end 17033.09909375
transcript.pyannote[3075].speaker SPEAKER_33
transcript.pyannote[3075].start 17033.28471875
transcript.pyannote[3075].end 17033.30159375
transcript.pyannote[3076].speaker SPEAKER_07
transcript.pyannote[3076].start 17033.30159375
transcript.pyannote[3076].end 17033.33534375
transcript.pyannote[3077].speaker SPEAKER_33
transcript.pyannote[3077].start 17033.33534375
transcript.pyannote[3077].end 17033.50409375
transcript.pyannote[3078].speaker SPEAKER_07
transcript.pyannote[3078].start 17033.50409375
transcript.pyannote[3078].end 17033.65596875
transcript.pyannote[3079].speaker SPEAKER_33
transcript.pyannote[3079].start 17033.65596875
transcript.pyannote[3079].end 17033.67284375
transcript.pyannote[3080].speaker SPEAKER_07
transcript.pyannote[3080].start 17033.67284375
transcript.pyannote[3080].end 17033.74034375
transcript.pyannote[3081].speaker SPEAKER_33
transcript.pyannote[3081].start 17033.74034375
transcript.pyannote[3081].end 17033.79096875
transcript.pyannote[3082].speaker SPEAKER_07
transcript.pyannote[3082].start 17033.79096875
transcript.pyannote[3082].end 17034.06096875
transcript.pyannote[3083].speaker SPEAKER_07
transcript.pyannote[3083].start 17034.65159375
transcript.pyannote[3083].end 17040.06846875
transcript.pyannote[3084].speaker SPEAKER_17
transcript.pyannote[3084].start 17035.39409375
transcript.pyannote[3084].end 17035.44471875
transcript.pyannote[3085].speaker SPEAKER_29
transcript.pyannote[3085].start 17051.23971875
transcript.pyannote[3085].end 17053.92284375
transcript.pyannote[3086].speaker SPEAKER_07
transcript.pyannote[3086].start 17054.58096875
transcript.pyannote[3086].end 17055.61034375
transcript.pyannote[3087].speaker SPEAKER_29
transcript.pyannote[3087].start 17059.50846875
transcript.pyannote[3087].end 17060.09909375
transcript.pyannote[3088].speaker SPEAKER_29
transcript.pyannote[3088].start 17060.16659375
transcript.pyannote[3088].end 17060.79096875
transcript.pyannote[3089].speaker SPEAKER_29
transcript.pyannote[3089].start 17061.76971875
transcript.pyannote[3089].end 17063.28846875
transcript.pyannote[3090].speaker SPEAKER_29
transcript.pyannote[3090].start 17063.76096875
transcript.pyannote[3090].end 17070.13971875
transcript.pyannote[3091].speaker SPEAKER_25
transcript.pyannote[3091].start 17067.55784375
transcript.pyannote[3091].end 17067.69284375
transcript.pyannote[3092].speaker SPEAKER_29
transcript.pyannote[3092].start 17070.73034375
transcript.pyannote[3092].end 17072.09721875
transcript.pyannote[3093].speaker SPEAKER_25
transcript.pyannote[3093].start 17072.01284375
transcript.pyannote[3093].end 17072.43471875
transcript.pyannote[3094].speaker SPEAKER_29
transcript.pyannote[3094].start 17072.29971875
transcript.pyannote[3094].end 17079.42096875
transcript.pyannote[3095].speaker SPEAKER_25
transcript.pyannote[3095].start 17077.41284375
transcript.pyannote[3095].end 17077.81784375
transcript.pyannote[3096].speaker SPEAKER_29
transcript.pyannote[3096].start 17079.62346875
transcript.pyannote[3096].end 17086.52534375
transcript.pyannote[3097].speaker SPEAKER_25
transcript.pyannote[3097].start 17086.47471875
transcript.pyannote[3097].end 17086.50846875
transcript.pyannote[3098].speaker SPEAKER_27
transcript.pyannote[3098].start 17086.50846875
transcript.pyannote[3098].end 17086.54221875
transcript.pyannote[3099].speaker SPEAKER_29
transcript.pyannote[3099].start 17086.54221875
transcript.pyannote[3099].end 17086.55909375
transcript.pyannote[3100].speaker SPEAKER_27
transcript.pyannote[3100].start 17086.55909375
transcript.pyannote[3100].end 17087.01471875
transcript.pyannote[3101].speaker SPEAKER_29
transcript.pyannote[3101].start 17087.18346875
transcript.pyannote[3101].end 17088.56721875
transcript.pyannote[3102].speaker SPEAKER_29
transcript.pyannote[3102].start 17089.32659375
transcript.pyannote[3102].end 17095.40159375
transcript.pyannote[3103].speaker SPEAKER_18
transcript.pyannote[3103].start 17095.53659375
transcript.pyannote[3103].end 17097.93284375
transcript.pyannote[3104].speaker SPEAKER_29
transcript.pyannote[3104].start 17097.46034375
transcript.pyannote[3104].end 17099.33346875
transcript.pyannote[3105].speaker SPEAKER_29
transcript.pyannote[3105].start 17100.41346875
transcript.pyannote[3105].end 17103.18096875
transcript.pyannote[3106].speaker SPEAKER_29
transcript.pyannote[3106].start 17104.05846875
transcript.pyannote[3106].end 17105.27346875
transcript.pyannote[3107].speaker SPEAKER_25
transcript.pyannote[3107].start 17105.25659375
transcript.pyannote[3107].end 17105.74596875
transcript.pyannote[3108].speaker SPEAKER_29
transcript.pyannote[3108].start 17106.25221875
transcript.pyannote[3108].end 17106.96096875
transcript.pyannote[3109].speaker SPEAKER_29
transcript.pyannote[3109].start 17107.63596875
transcript.pyannote[3109].end 17108.98596875
transcript.pyannote[3110].speaker SPEAKER_29
transcript.pyannote[3110].start 17109.64409375
transcript.pyannote[3110].end 17110.58909375
transcript.pyannote[3111].speaker SPEAKER_29
transcript.pyannote[3111].start 17112.95159375
transcript.pyannote[3111].end 17113.39034375
transcript.pyannote[3112].speaker SPEAKER_29
transcript.pyannote[3112].start 17113.86284375
transcript.pyannote[3112].end 17115.46596875
transcript.pyannote[3113].speaker SPEAKER_29
transcript.pyannote[3113].start 17115.88784375
transcript.pyannote[3113].end 17117.47409375
transcript.pyannote[3114].speaker SPEAKER_29
transcript.pyannote[3114].start 17118.09846875
transcript.pyannote[3114].end 17124.86534375
transcript.pyannote[3115].speaker SPEAKER_18
transcript.pyannote[3115].start 17120.96721875
transcript.pyannote[3115].end 17121.20346875
transcript.pyannote[3116].speaker SPEAKER_18
transcript.pyannote[3116].start 17123.83596875
transcript.pyannote[3116].end 17123.90346875
transcript.pyannote[3117].speaker SPEAKER_18
transcript.pyannote[3117].start 17123.92034375
transcript.pyannote[3117].end 17123.97096875
transcript.pyannote[3118].speaker SPEAKER_18
transcript.pyannote[3118].start 17125.05096875
transcript.pyannote[3118].end 17129.59034375
transcript.pyannote[3119].speaker SPEAKER_29
transcript.pyannote[3119].start 17128.57784375
transcript.pyannote[3119].end 17129.01659375
transcript.pyannote[3120].speaker SPEAKER_18
transcript.pyannote[3120].start 17129.87721875
transcript.pyannote[3120].end 17135.93534375
transcript.pyannote[3121].speaker SPEAKER_18
transcript.pyannote[3121].start 17136.28971875
transcript.pyannote[3121].end 17137.60596875
transcript.pyannote[3122].speaker SPEAKER_18
transcript.pyannote[3122].start 17137.84221875
transcript.pyannote[3122].end 17145.73971875
transcript.pyannote[3123].speaker SPEAKER_18
transcript.pyannote[3123].start 17146.02659375
transcript.pyannote[3123].end 17146.68471875
transcript.pyannote[3124].speaker SPEAKER_25
transcript.pyannote[3124].start 17146.80284375
transcript.pyannote[3124].end 17148.92909375
transcript.pyannote[3125].speaker SPEAKER_18
transcript.pyannote[3125].start 17147.19096875
transcript.pyannote[3125].end 17151.10596875
transcript.pyannote[3126].speaker SPEAKER_25
transcript.pyannote[3126].start 17150.16096875
transcript.pyannote[3126].end 17151.46034375
transcript.pyannote[3127].speaker SPEAKER_18
transcript.pyannote[3127].start 17151.40971875
transcript.pyannote[3127].end 17153.01284375
transcript.pyannote[3128].speaker SPEAKER_18
transcript.pyannote[3128].start 17153.28284375
transcript.pyannote[3128].end 17155.74659375
transcript.pyannote[3129].speaker SPEAKER_18
transcript.pyannote[3129].start 17156.33721875
transcript.pyannote[3129].end 17161.29846875
transcript.pyannote[3130].speaker SPEAKER_25
transcript.pyannote[3130].start 17157.63659375
transcript.pyannote[3130].end 17157.99096875
transcript.pyannote[3131].speaker SPEAKER_18
transcript.pyannote[3131].start 17161.34909375
transcript.pyannote[3131].end 17163.71159375
transcript.pyannote[3132].speaker SPEAKER_18
transcript.pyannote[3132].start 17163.76221875
transcript.pyannote[3132].end 17167.71096875
transcript.pyannote[3133].speaker SPEAKER_29
transcript.pyannote[3133].start 17167.00221875
transcript.pyannote[3133].end 17167.42409375
transcript.pyannote[3134].speaker SPEAKER_29
transcript.pyannote[3134].start 17168.48721875
transcript.pyannote[3134].end 17169.44909375
transcript.pyannote[3135].speaker SPEAKER_29
transcript.pyannote[3135].start 17170.19159375
transcript.pyannote[3135].end 17177.27909375
transcript.pyannote[3136].speaker SPEAKER_29
transcript.pyannote[3136].start 17177.98784375
transcript.pyannote[3136].end 17178.96659375
transcript.pyannote[3137].speaker SPEAKER_18
transcript.pyannote[3137].start 17179.25346875
transcript.pyannote[3137].end 17179.55721875
transcript.pyannote[3138].speaker SPEAKER_29
transcript.pyannote[3138].start 17179.47284375
transcript.pyannote[3138].end 17181.02534375
transcript.pyannote[3139].speaker SPEAKER_18
transcript.pyannote[3139].start 17180.40096875
transcript.pyannote[3139].end 17181.54846875
transcript.pyannote[3140].speaker SPEAKER_18
transcript.pyannote[3140].start 17182.64534375
transcript.pyannote[3140].end 17186.10471875
transcript.pyannote[3141].speaker SPEAKER_25
transcript.pyannote[3141].start 17186.10471875
transcript.pyannote[3141].end 17186.50971875
transcript.pyannote[3142].speaker SPEAKER_18
transcript.pyannote[3142].start 17186.50971875
transcript.pyannote[3142].end 17189.81721875
transcript.pyannote[3143].speaker SPEAKER_18
transcript.pyannote[3143].start 17190.64409375
transcript.pyannote[3143].end 17194.84596875
transcript.pyannote[3144].speaker SPEAKER_18
transcript.pyannote[3144].start 17195.11596875
transcript.pyannote[3144].end 17199.04784375
transcript.pyannote[3145].speaker SPEAKER_25
transcript.pyannote[3145].start 17199.04784375
transcript.pyannote[3145].end 17199.41909375
transcript.pyannote[3146].speaker SPEAKER_18
transcript.pyannote[3146].start 17199.33471875
transcript.pyannote[3146].end 17204.54909375
transcript.pyannote[3147].speaker SPEAKER_29
transcript.pyannote[3147].start 17204.73471875
transcript.pyannote[3147].end 17204.98784375
transcript.pyannote[3148].speaker SPEAKER_18
transcript.pyannote[3148].start 17205.34221875
transcript.pyannote[3148].end 17205.62909375
transcript.pyannote[3149].speaker SPEAKER_29
transcript.pyannote[3149].start 17206.23659375
transcript.pyannote[3149].end 17207.11409375
transcript.pyannote[3150].speaker SPEAKER_18
transcript.pyannote[3150].start 17208.49784375
transcript.pyannote[3150].end 17210.86034375
transcript.pyannote[3151].speaker SPEAKER_29
transcript.pyannote[3151].start 17208.54846875
transcript.pyannote[3151].end 17208.93659375
transcript.pyannote[3152].speaker SPEAKER_29
transcript.pyannote[3152].start 17211.09659375
transcript.pyannote[3152].end 17217.01971875
transcript.pyannote[3153].speaker SPEAKER_18
transcript.pyannote[3153].start 17215.41659375
transcript.pyannote[3153].end 17216.09159375
transcript.pyannote[3154].speaker SPEAKER_18
transcript.pyannote[3154].start 17216.53034375
transcript.pyannote[3154].end 17221.22159375
transcript.pyannote[3155].speaker SPEAKER_18
transcript.pyannote[3155].start 17221.37346875
transcript.pyannote[3155].end 17222.41971875
transcript.pyannote[3156].speaker SPEAKER_18
transcript.pyannote[3156].start 17222.87534375
transcript.pyannote[3156].end 17225.28846875
transcript.pyannote[3157].speaker SPEAKER_18
transcript.pyannote[3157].start 17225.64284375
transcript.pyannote[3157].end 17227.95471875
transcript.pyannote[3158].speaker SPEAKER_29
transcript.pyannote[3158].start 17227.95471875
transcript.pyannote[3158].end 17228.34284375
transcript.pyannote[3159].speaker SPEAKER_18
transcript.pyannote[3159].start 17228.24159375
transcript.pyannote[3159].end 17229.01784375
transcript.pyannote[3160].speaker SPEAKER_18
transcript.pyannote[3160].start 17229.35534375
transcript.pyannote[3160].end 17231.14409375
transcript.pyannote[3161].speaker SPEAKER_29
transcript.pyannote[3161].start 17230.82346875
transcript.pyannote[3161].end 17232.15659375
transcript.pyannote[3162].speaker SPEAKER_18
transcript.pyannote[3162].start 17231.65034375
transcript.pyannote[3162].end 17231.73471875
transcript.pyannote[3163].speaker SPEAKER_18
transcript.pyannote[3163].start 17232.15659375
transcript.pyannote[3163].end 17234.72159375
transcript.pyannote[3164].speaker SPEAKER_18
transcript.pyannote[3164].start 17234.77221875
transcript.pyannote[3164].end 17237.97846875
transcript.pyannote[3165].speaker SPEAKER_29
transcript.pyannote[3165].start 17238.38346875
transcript.pyannote[3165].end 17238.75471875
transcript.pyannote[3166].speaker SPEAKER_29
transcript.pyannote[3166].start 17239.19346875
transcript.pyannote[3166].end 17265.83909375
transcript.pyannote[3167].speaker SPEAKER_25
transcript.pyannote[3167].start 17247.79971875
transcript.pyannote[3167].end 17248.40721875
transcript.pyannote[3168].speaker SPEAKER_25
transcript.pyannote[3168].start 17250.55034375
transcript.pyannote[3168].end 17254.36409375
transcript.pyannote[3169].speaker SPEAKER_25
transcript.pyannote[3169].start 17259.78096875
transcript.pyannote[3169].end 17260.08471875
transcript.pyannote[3170].speaker SPEAKER_25
transcript.pyannote[3170].start 17265.36659375
transcript.pyannote[3170].end 17265.40034375
transcript.pyannote[3171].speaker SPEAKER_07
transcript.pyannote[3171].start 17265.40034375
transcript.pyannote[3171].end 17265.68721875
transcript.pyannote[3172].speaker SPEAKER_25
transcript.pyannote[3172].start 17265.68721875
transcript.pyannote[3172].end 17265.72096875
transcript.pyannote[3173].speaker SPEAKER_07
transcript.pyannote[3173].start 17265.72096875
transcript.pyannote[3173].end 17265.80534375
transcript.pyannote[3174].speaker SPEAKER_25
transcript.pyannote[3174].start 17265.83909375
transcript.pyannote[3174].end 17265.88971875
transcript.pyannote[3175].speaker SPEAKER_07
transcript.pyannote[3175].start 17265.88971875
transcript.pyannote[3175].end 17266.12596875
transcript.pyannote[3176].speaker SPEAKER_29
transcript.pyannote[3176].start 17266.12596875
transcript.pyannote[3176].end 17266.15971875
transcript.pyannote[3177].speaker SPEAKER_29
transcript.pyannote[3177].start 17266.19346875
transcript.pyannote[3177].end 17267.08784375
transcript.pyannote[3178].speaker SPEAKER_07
transcript.pyannote[3178].start 17267.08784375
transcript.pyannote[3178].end 17267.79659375
transcript.pyannote[3179].speaker SPEAKER_29
transcript.pyannote[3179].start 17267.47596875
transcript.pyannote[3179].end 17268.77534375
transcript.pyannote[3180].speaker SPEAKER_27
transcript.pyannote[3180].start 17267.79659375
transcript.pyannote[3180].end 17267.84721875
transcript.pyannote[3181].speaker SPEAKER_29
transcript.pyannote[3181].start 17268.89346875
transcript.pyannote[3181].end 17269.55159375
transcript.pyannote[3182].speaker SPEAKER_07
transcript.pyannote[3182].start 17271.05346875
transcript.pyannote[3182].end 17271.98159375
transcript.pyannote[3183].speaker SPEAKER_07
transcript.pyannote[3183].start 17276.38596875
transcript.pyannote[3183].end 17276.40284375
transcript.pyannote[3184].speaker SPEAKER_04
transcript.pyannote[3184].start 17276.40284375
transcript.pyannote[3184].end 17276.85846875
transcript.pyannote[3185].speaker SPEAKER_07
transcript.pyannote[3185].start 17276.82471875
transcript.pyannote[3185].end 17276.90909375
transcript.pyannote[3186].speaker SPEAKER_29
transcript.pyannote[3186].start 17276.85846875
transcript.pyannote[3186].end 17277.56721875
transcript.pyannote[3187].speaker SPEAKER_29
transcript.pyannote[3187].start 17278.86659375
transcript.pyannote[3187].end 17281.19534375
transcript.pyannote[3188].speaker SPEAKER_29
transcript.pyannote[3188].start 17281.49909375
transcript.pyannote[3188].end 17282.56221875
transcript.pyannote[3189].speaker SPEAKER_29
transcript.pyannote[3189].start 17283.11909375
transcript.pyannote[3189].end 17284.36784375
transcript.pyannote[3190].speaker SPEAKER_29
transcript.pyannote[3190].start 17285.22846875
transcript.pyannote[3190].end 17293.17659375
transcript.pyannote[3191].speaker SPEAKER_29
transcript.pyannote[3191].start 17294.52659375
transcript.pyannote[3191].end 17297.32784375
transcript.pyannote[3192].speaker SPEAKER_29
transcript.pyannote[3192].start 17297.85096875
transcript.pyannote[3192].end 17299.70721875
transcript.pyannote[3193].speaker SPEAKER_25
transcript.pyannote[3193].start 17299.70721875
transcript.pyannote[3193].end 17299.97721875
transcript.pyannote[3194].speaker SPEAKER_29
transcript.pyannote[3194].start 17300.85471875
transcript.pyannote[3194].end 17308.54971875
transcript.pyannote[3195].speaker SPEAKER_29
transcript.pyannote[3195].start 17308.63409375
transcript.pyannote[3195].end 17309.56221875
transcript.pyannote[3196].speaker SPEAKER_29
transcript.pyannote[3196].start 17310.60846875
transcript.pyannote[3196].end 17311.95846875
transcript.pyannote[3197].speaker SPEAKER_29
transcript.pyannote[3197].start 17312.53221875
transcript.pyannote[3197].end 17313.78096875
transcript.pyannote[3198].speaker SPEAKER_29
transcript.pyannote[3198].start 17314.47284375
transcript.pyannote[3198].end 17316.76784375
transcript.pyannote[3199].speaker SPEAKER_29
transcript.pyannote[3199].start 17317.30784375
transcript.pyannote[3199].end 17320.68284375
transcript.pyannote[3200].speaker SPEAKER_29
transcript.pyannote[3200].start 17321.22284375
transcript.pyannote[3200].end 17329.57596875
transcript.pyannote[3201].speaker SPEAKER_25
transcript.pyannote[3201].start 17329.57596875
transcript.pyannote[3201].end 17329.96409375
transcript.pyannote[3202].speaker SPEAKER_29
transcript.pyannote[3202].start 17330.14971875
transcript.pyannote[3202].end 17334.43596875
transcript.pyannote[3203].speaker SPEAKER_29
transcript.pyannote[3203].start 17334.95909375
transcript.pyannote[3203].end 17335.51596875
transcript.pyannote[3204].speaker SPEAKER_29
transcript.pyannote[3204].start 17336.73096875
transcript.pyannote[3204].end 17338.14846875
transcript.pyannote[3205].speaker SPEAKER_29
transcript.pyannote[3205].start 17339.81909375
transcript.pyannote[3205].end 17341.37159375
transcript.pyannote[3206].speaker SPEAKER_29
transcript.pyannote[3206].start 17342.56971875
transcript.pyannote[3206].end 17343.24471875
transcript.pyannote[3207].speaker SPEAKER_29
transcript.pyannote[3207].start 17344.07159375
transcript.pyannote[3207].end 17345.72534375
transcript.pyannote[3208].speaker SPEAKER_29
transcript.pyannote[3208].start 17347.19346875
transcript.pyannote[3208].end 17348.40846875
transcript.pyannote[3209].speaker SPEAKER_25
transcript.pyannote[3209].start 17348.69534375
transcript.pyannote[3209].end 17348.72909375
transcript.pyannote[3210].speaker SPEAKER_29
transcript.pyannote[3210].start 17348.72909375
transcript.pyannote[3210].end 17351.42909375
transcript.pyannote[3211].speaker SPEAKER_25
transcript.pyannote[3211].start 17351.42909375
transcript.pyannote[3211].end 17351.59784375
transcript.pyannote[3212].speaker SPEAKER_29
transcript.pyannote[3212].start 17351.59784375
transcript.pyannote[3212].end 17353.55534375
transcript.pyannote[3213].speaker SPEAKER_25
transcript.pyannote[3213].start 17353.75784375
transcript.pyannote[3213].end 17354.02784375
transcript.pyannote[3214].speaker SPEAKER_29
transcript.pyannote[3214].start 17354.02784375
transcript.pyannote[3214].end 17358.78659375
transcript.pyannote[3215].speaker SPEAKER_29
transcript.pyannote[3215].start 17359.56284375
transcript.pyannote[3215].end 17361.23346875
transcript.pyannote[3216].speaker SPEAKER_25
transcript.pyannote[3216].start 17361.21659375
transcript.pyannote[3216].end 17361.58784375
transcript.pyannote[3217].speaker SPEAKER_29
transcript.pyannote[3217].start 17361.94221875
transcript.pyannote[3217].end 17364.30471875
transcript.pyannote[3218].speaker SPEAKER_29
transcript.pyannote[3218].start 17364.50721875
transcript.pyannote[3218].end 17367.37596875
transcript.pyannote[3219].speaker SPEAKER_29
transcript.pyannote[3219].start 17368.38846875
transcript.pyannote[3219].end 17369.35034375
transcript.pyannote[3220].speaker SPEAKER_29
transcript.pyannote[3220].start 17369.85659375
transcript.pyannote[3220].end 17371.83096875
transcript.pyannote[3221].speaker SPEAKER_29
transcript.pyannote[3221].start 17372.40471875
transcript.pyannote[3221].end 17376.16784375
transcript.pyannote[3222].speaker SPEAKER_04
transcript.pyannote[3222].start 17376.43784375
transcript.pyannote[3222].end 17383.74471875
transcript.pyannote[3223].speaker SPEAKER_04
transcript.pyannote[3223].start 17384.14971875
transcript.pyannote[3223].end 17386.56284375
transcript.pyannote[3224].speaker SPEAKER_04
transcript.pyannote[3224].start 17386.96784375
transcript.pyannote[3224].end 17390.07284375
transcript.pyannote[3225].speaker SPEAKER_04
transcript.pyannote[3225].start 17390.20784375
transcript.pyannote[3225].end 17395.15221875
transcript.pyannote[3226].speaker SPEAKER_04
transcript.pyannote[3226].start 17395.35471875
transcript.pyannote[3226].end 17398.25721875
transcript.pyannote[3227].speaker SPEAKER_04
transcript.pyannote[3227].start 17398.52721875
transcript.pyannote[3227].end 17400.09659375
transcript.pyannote[3228].speaker SPEAKER_04
transcript.pyannote[3228].start 17400.29909375
transcript.pyannote[3228].end 17409.91784375
transcript.pyannote[3229].speaker SPEAKER_04
transcript.pyannote[3229].start 17410.15409375
transcript.pyannote[3229].end 17412.93846875
transcript.pyannote[3230].speaker SPEAKER_04
transcript.pyannote[3230].start 17412.98909375
transcript.pyannote[3230].end 17416.09409375
transcript.pyannote[3231].speaker SPEAKER_04
transcript.pyannote[3231].start 17416.29659375
transcript.pyannote[3231].end 17422.40534375
transcript.pyannote[3232].speaker SPEAKER_04
transcript.pyannote[3232].start 17422.45596875
transcript.pyannote[3232].end 17435.04471875
transcript.pyannote[3233].speaker SPEAKER_04
transcript.pyannote[3233].start 17435.19659375
transcript.pyannote[3233].end 17445.27096875
transcript.pyannote[3234].speaker SPEAKER_04
transcript.pyannote[3234].start 17445.62534375
transcript.pyannote[3234].end 17451.29534375
transcript.pyannote[3235].speaker SPEAKER_04
transcript.pyannote[3235].start 17451.71721875
transcript.pyannote[3235].end 17456.89784375
transcript.pyannote[3236].speaker SPEAKER_29
transcript.pyannote[3236].start 17452.24034375
transcript.pyannote[3236].end 17454.33284375
transcript.pyannote[3237].speaker SPEAKER_29
transcript.pyannote[3237].start 17456.49284375
transcript.pyannote[3237].end 17457.38721875
transcript.pyannote[3238].speaker SPEAKER_29
transcript.pyannote[3238].start 17457.45471875
transcript.pyannote[3238].end 17465.33534375
transcript.pyannote[3239].speaker SPEAKER_04
transcript.pyannote[3239].start 17457.57284375
transcript.pyannote[3239].end 17458.02846875
transcript.pyannote[3240].speaker SPEAKER_04
transcript.pyannote[3240].start 17460.77909375
transcript.pyannote[3240].end 17461.97721875
transcript.pyannote[3241].speaker SPEAKER_29
transcript.pyannote[3241].start 17466.29721875
transcript.pyannote[3241].end 17473.55346875
transcript.pyannote[3242].speaker SPEAKER_04
transcript.pyannote[3242].start 17471.44409375
transcript.pyannote[3242].end 17472.47346875
transcript.pyannote[3243].speaker SPEAKER_04
transcript.pyannote[3243].start 17472.70971875
transcript.pyannote[3243].end 17474.16096875
transcript.pyannote[3244].speaker SPEAKER_29
transcript.pyannote[3244].start 17474.16096875
transcript.pyannote[3244].end 17476.86096875
transcript.pyannote[3245].speaker SPEAKER_04
transcript.pyannote[3245].start 17476.59096875
transcript.pyannote[3245].end 17477.13096875
transcript.pyannote[3246].speaker SPEAKER_29
transcript.pyannote[3246].start 17477.13096875
transcript.pyannote[3246].end 17479.93221875
transcript.pyannote[3247].speaker SPEAKER_25
transcript.pyannote[3247].start 17479.93221875
transcript.pyannote[3247].end 17480.32034375
transcript.pyannote[3248].speaker SPEAKER_29
transcript.pyannote[3248].start 17480.43846875
transcript.pyannote[3248].end 17482.49721875
transcript.pyannote[3249].speaker SPEAKER_25
transcript.pyannote[3249].start 17482.56471875
transcript.pyannote[3249].end 17482.90221875
transcript.pyannote[3250].speaker SPEAKER_29
transcript.pyannote[3250].start 17483.67846875
transcript.pyannote[3250].end 17485.73721875
transcript.pyannote[3251].speaker SPEAKER_29
transcript.pyannote[3251].start 17486.00721875
transcript.pyannote[3251].end 17495.67659375
transcript.pyannote[3252].speaker SPEAKER_25
transcript.pyannote[3252].start 17489.85471875
transcript.pyannote[3252].end 17490.34409375
transcript.pyannote[3253].speaker SPEAKER_00
transcript.pyannote[3253].start 17490.34409375
transcript.pyannote[3253].end 17490.51284375
transcript.pyannote[3254].speaker SPEAKER_29
transcript.pyannote[3254].start 17496.82409375
transcript.pyannote[3254].end 17501.71784375
transcript.pyannote[3255].speaker SPEAKER_27
transcript.pyannote[3255].start 17501.65034375
transcript.pyannote[3255].end 17502.12284375
transcript.pyannote[3256].speaker SPEAKER_29
transcript.pyannote[3256].start 17502.12284375
transcript.pyannote[3256].end 17506.57784375
transcript.pyannote[3257].speaker SPEAKER_29
transcript.pyannote[3257].start 17507.16846875
transcript.pyannote[3257].end 17509.59846875
transcript.pyannote[3258].speaker SPEAKER_29
transcript.pyannote[3258].start 17510.35784375
transcript.pyannote[3258].end 17511.67409375
transcript.pyannote[3259].speaker SPEAKER_29
transcript.pyannote[3259].start 17512.28159375
transcript.pyannote[3259].end 17514.01971875
transcript.pyannote[3260].speaker SPEAKER_29
transcript.pyannote[3260].start 17515.31909375
transcript.pyannote[3260].end 17515.94346875
transcript.pyannote[3261].speaker SPEAKER_29
transcript.pyannote[3261].start 17517.25971875
transcript.pyannote[3261].end 17518.05284375
transcript.pyannote[3262].speaker SPEAKER_29
transcript.pyannote[3262].start 17518.08659375
transcript.pyannote[3262].end 17519.21721875
transcript.pyannote[3263].speaker SPEAKER_25
transcript.pyannote[3263].start 17519.52096875
transcript.pyannote[3263].end 17519.77409375
transcript.pyannote[3264].speaker SPEAKER_29
transcript.pyannote[3264].start 17520.85409375
transcript.pyannote[3264].end 17522.15346875
transcript.pyannote[3265].speaker SPEAKER_29
transcript.pyannote[3265].start 17522.35596875
transcript.pyannote[3265].end 17525.07284375
transcript.pyannote[3266].speaker SPEAKER_29
transcript.pyannote[3266].start 17525.41034375
transcript.pyannote[3266].end 17529.73034375
transcript.pyannote[3267].speaker SPEAKER_29
transcript.pyannote[3267].start 17530.13534375
transcript.pyannote[3267].end 17535.09659375
transcript.pyannote[3268].speaker SPEAKER_29
transcript.pyannote[3268].start 17535.97409375
transcript.pyannote[3268].end 17537.37471875
transcript.pyannote[3269].speaker SPEAKER_29
transcript.pyannote[3269].start 17538.08346875
transcript.pyannote[3269].end 17540.05784375
transcript.pyannote[3270].speaker SPEAKER_29
transcript.pyannote[3270].start 17540.36159375
transcript.pyannote[3270].end 17541.05346875
transcript.pyannote[3271].speaker SPEAKER_29
transcript.pyannote[3271].start 17541.66096875
transcript.pyannote[3271].end 17541.96471875
transcript.pyannote[3272].speaker SPEAKER_29
transcript.pyannote[3272].start 17542.90971875
transcript.pyannote[3272].end 17544.98534375
transcript.pyannote[3273].speaker SPEAKER_04
transcript.pyannote[3273].start 17546.01471875
transcript.pyannote[3273].end 17546.25096875
transcript.pyannote[3274].speaker SPEAKER_04
transcript.pyannote[3274].start 17546.55471875
transcript.pyannote[3274].end 17561.26971875
transcript.pyannote[3275].speaker SPEAKER_29
transcript.pyannote[3275].start 17548.17471875
transcript.pyannote[3275].end 17548.74846875
transcript.pyannote[3276].speaker SPEAKER_25
transcript.pyannote[3276].start 17553.42284375
transcript.pyannote[3276].end 17553.87846875
transcript.pyannote[3277].speaker SPEAKER_04
transcript.pyannote[3277].start 17561.53971875
transcript.pyannote[3277].end 17567.66534375
transcript.pyannote[3278].speaker SPEAKER_04
transcript.pyannote[3278].start 17568.32346875
transcript.pyannote[3278].end 17580.59159375
transcript.pyannote[3279].speaker SPEAKER_04
transcript.pyannote[3279].start 17580.69284375
transcript.pyannote[3279].end 17587.89846875
transcript.pyannote[3280].speaker SPEAKER_29
transcript.pyannote[3280].start 17587.83096875
transcript.pyannote[3280].end 17592.96096875
transcript.pyannote[3281].speaker SPEAKER_04
transcript.pyannote[3281].start 17588.23596875
transcript.pyannote[3281].end 17588.97846875
transcript.pyannote[3282].speaker SPEAKER_04
transcript.pyannote[3282].start 17590.04159375
transcript.pyannote[3282].end 17590.05846875
transcript.pyannote[3283].speaker SPEAKER_04
transcript.pyannote[3283].start 17590.24409375
transcript.pyannote[3283].end 17590.32846875
transcript.pyannote[3284].speaker SPEAKER_04
transcript.pyannote[3284].start 17592.74159375
transcript.pyannote[3284].end 17607.10221875
transcript.pyannote[3285].speaker SPEAKER_04
transcript.pyannote[3285].start 17607.23721875
transcript.pyannote[3285].end 17619.89346875
transcript.pyannote[3286].speaker SPEAKER_29
transcript.pyannote[3286].start 17619.31971875
transcript.pyannote[3286].end 17625.07409375
transcript.pyannote[3287].speaker SPEAKER_04
transcript.pyannote[3287].start 17621.69909375
transcript.pyannote[3287].end 17622.10409375
transcript.pyannote[3288].speaker SPEAKER_04
transcript.pyannote[3288].start 17623.67346875
transcript.pyannote[3288].end 17623.85909375
transcript.pyannote[3289].speaker SPEAKER_25
transcript.pyannote[3289].start 17623.85909375
transcript.pyannote[3289].end 17623.89284375
transcript.pyannote[3290].speaker SPEAKER_04
transcript.pyannote[3290].start 17623.89284375
transcript.pyannote[3290].end 17624.21346875
transcript.pyannote[3291].speaker SPEAKER_29
transcript.pyannote[3291].start 17625.39471875
transcript.pyannote[3291].end 17626.66034375
transcript.pyannote[3292].speaker SPEAKER_29
transcript.pyannote[3292].start 17626.87971875
transcript.pyannote[3292].end 17628.88784375
transcript.pyannote[3293].speaker SPEAKER_29
transcript.pyannote[3293].start 17629.29284375
transcript.pyannote[3293].end 17639.40096875
transcript.pyannote[3294].speaker SPEAKER_23
transcript.pyannote[3294].start 17639.02971875
transcript.pyannote[3294].end 17639.41784375
transcript.pyannote[3295].speaker SPEAKER_29
transcript.pyannote[3295].start 17639.41784375
transcript.pyannote[3295].end 17639.43471875
transcript.pyannote[3296].speaker SPEAKER_23
transcript.pyannote[3296].start 17639.43471875
transcript.pyannote[3296].end 17639.46846875
transcript.pyannote[3297].speaker SPEAKER_29
transcript.pyannote[3297].start 17639.46846875
transcript.pyannote[3297].end 17642.91096875
transcript.pyannote[3298].speaker SPEAKER_29
transcript.pyannote[3298].start 17643.50159375
transcript.pyannote[3298].end 17646.60659375
transcript.pyannote[3299].speaker SPEAKER_29
transcript.pyannote[3299].start 17647.24784375
transcript.pyannote[3299].end 17657.03534375
transcript.pyannote[3300].speaker SPEAKER_27
transcript.pyannote[3300].start 17656.93409375
transcript.pyannote[3300].end 17657.35596875
transcript.pyannote[3301].speaker SPEAKER_29
transcript.pyannote[3301].start 17657.35596875
transcript.pyannote[3301].end 17657.37284375
transcript.pyannote[3302].speaker SPEAKER_29
transcript.pyannote[3302].start 17657.38971875
transcript.pyannote[3302].end 17660.02221875
transcript.pyannote[3303].speaker SPEAKER_29
transcript.pyannote[3303].start 17660.24159375
transcript.pyannote[3303].end 17660.27534375
transcript.pyannote[3304].speaker SPEAKER_27
transcript.pyannote[3304].start 17660.27534375
transcript.pyannote[3304].end 17660.32596875
transcript.pyannote[3305].speaker SPEAKER_29
transcript.pyannote[3305].start 17660.32596875
transcript.pyannote[3305].end 17660.34284375
transcript.pyannote[3306].speaker SPEAKER_27
transcript.pyannote[3306].start 17660.34284375
transcript.pyannote[3306].end 17660.37659375
transcript.pyannote[3307].speaker SPEAKER_29
transcript.pyannote[3307].start 17660.37659375
transcript.pyannote[3307].end 17669.40471875
transcript.pyannote[3308].speaker SPEAKER_27
transcript.pyannote[3308].start 17660.49471875
transcript.pyannote[3308].end 17660.64659375
transcript.pyannote[3309].speaker SPEAKER_25
transcript.pyannote[3309].start 17660.64659375
transcript.pyannote[3309].end 17660.66346875
transcript.pyannote[3310].speaker SPEAKER_04
transcript.pyannote[3310].start 17667.46409375
transcript.pyannote[3310].end 17668.79721875
transcript.pyannote[3311].speaker SPEAKER_04
transcript.pyannote[3311].start 17669.38784375
transcript.pyannote[3311].end 17670.29909375
transcript.pyannote[3312].speaker SPEAKER_29
transcript.pyannote[3312].start 17669.75909375
transcript.pyannote[3312].end 17672.37471875
transcript.pyannote[3313].speaker SPEAKER_04
transcript.pyannote[3313].start 17670.73784375
transcript.pyannote[3313].end 17671.31159375
transcript.pyannote[3314].speaker SPEAKER_04
transcript.pyannote[3314].start 17672.10471875
transcript.pyannote[3314].end 17684.00159375
transcript.pyannote[3315].speaker SPEAKER_29
transcript.pyannote[3315].start 17674.56846875
transcript.pyannote[3315].end 17675.05784375
transcript.pyannote[3316].speaker SPEAKER_29
transcript.pyannote[3316].start 17680.06971875
transcript.pyannote[3316].end 17680.27221875
transcript.pyannote[3317].speaker SPEAKER_29
transcript.pyannote[3317].start 17680.44096875
transcript.pyannote[3317].end 17681.82471875
transcript.pyannote[3318].speaker SPEAKER_29
transcript.pyannote[3318].start 17682.39846875
transcript.pyannote[3318].end 17697.55221875
transcript.pyannote[3319].speaker SPEAKER_00
transcript.pyannote[3319].start 17692.08471875
transcript.pyannote[3319].end 17693.01284375
transcript.pyannote[3320].speaker SPEAKER_00
transcript.pyannote[3320].start 17693.28284375
transcript.pyannote[3320].end 17693.97471875
transcript.pyannote[3321].speaker SPEAKER_29
transcript.pyannote[3321].start 17698.17659375
transcript.pyannote[3321].end 17704.18409375
transcript.pyannote[3322].speaker SPEAKER_04
transcript.pyannote[3322].start 17701.92284375
transcript.pyannote[3322].end 17702.20971875
transcript.pyannote[3323].speaker SPEAKER_29
transcript.pyannote[3323].start 17705.04471875
transcript.pyannote[3323].end 17707.64346875
transcript.pyannote[3324].speaker SPEAKER_04
transcript.pyannote[3324].start 17707.67721875
transcript.pyannote[3324].end 17708.13284375
transcript.pyannote[3325].speaker SPEAKER_29
transcript.pyannote[3325].start 17709.46596875
transcript.pyannote[3325].end 17712.36846875
transcript.pyannote[3326].speaker SPEAKER_04
transcript.pyannote[3326].start 17712.80721875
transcript.pyannote[3326].end 17713.21221875
transcript.pyannote[3327].speaker SPEAKER_04
transcript.pyannote[3327].start 17713.51596875
transcript.pyannote[3327].end 17716.50284375
transcript.pyannote[3328].speaker SPEAKER_04
transcript.pyannote[3328].start 17716.72221875
transcript.pyannote[3328].end 17722.37534375
transcript.pyannote[3329].speaker SPEAKER_04
transcript.pyannote[3329].start 17722.67909375
transcript.pyannote[3329].end 17735.41971875
transcript.pyannote[3330].speaker SPEAKER_04
transcript.pyannote[3330].start 17735.67284375
transcript.pyannote[3330].end 17736.34784375
transcript.pyannote[3331].speaker SPEAKER_04
transcript.pyannote[3331].start 17736.56721875
transcript.pyannote[3331].end 17747.48534375
transcript.pyannote[3332].speaker SPEAKER_04
transcript.pyannote[3332].start 17747.90721875
transcript.pyannote[3332].end 17780.44221875
transcript.pyannote[3333].speaker SPEAKER_04
transcript.pyannote[3333].start 17780.61096875
transcript.pyannote[3333].end 17790.51659375
transcript.pyannote[3334].speaker SPEAKER_29
transcript.pyannote[3334].start 17790.53346875
transcript.pyannote[3334].end 17793.21659375
transcript.pyannote[3335].speaker SPEAKER_04
transcript.pyannote[3335].start 17792.05221875
transcript.pyannote[3335].end 17792.35596875
transcript.pyannote[3336].speaker SPEAKER_29
transcript.pyannote[3336].start 17793.41909375
transcript.pyannote[3336].end 17794.61721875
transcript.pyannote[3337].speaker SPEAKER_04
transcript.pyannote[3337].start 17794.78596875
transcript.pyannote[3337].end 17795.10659375
transcript.pyannote[3338].speaker SPEAKER_25
transcript.pyannote[3338].start 17795.10659375
transcript.pyannote[3338].end 17795.12346875
transcript.pyannote[3339].speaker SPEAKER_29
transcript.pyannote[3339].start 17795.12346875
transcript.pyannote[3339].end 17815.89659375
transcript.pyannote[3340].speaker SPEAKER_25
transcript.pyannote[3340].start 17795.14034375
transcript.pyannote[3340].end 17795.15721875
transcript.pyannote[3341].speaker SPEAKER_25
transcript.pyannote[3341].start 17798.86971875
transcript.pyannote[3341].end 17799.22409375
transcript.pyannote[3342].speaker SPEAKER_25
transcript.pyannote[3342].start 17800.03409375
transcript.pyannote[3342].end 17800.62471875
transcript.pyannote[3343].speaker SPEAKER_00
transcript.pyannote[3343].start 17800.62471875
transcript.pyannote[3343].end 17800.64159375
transcript.pyannote[3344].speaker SPEAKER_04
transcript.pyannote[3344].start 17807.17221875
transcript.pyannote[3344].end 17809.21409375
transcript.pyannote[3345].speaker SPEAKER_32
transcript.pyannote[3345].start 17809.55159375
transcript.pyannote[3345].end 17809.58534375
transcript.pyannote[3346].speaker SPEAKER_04
transcript.pyannote[3346].start 17809.58534375
transcript.pyannote[3346].end 17809.77096875
transcript.pyannote[3347].speaker SPEAKER_04
transcript.pyannote[3347].start 17812.63971875
transcript.pyannote[3347].end 17812.67346875
transcript.pyannote[3348].speaker SPEAKER_27
transcript.pyannote[3348].start 17812.67346875
transcript.pyannote[3348].end 17812.99409375
transcript.pyannote[3349].speaker SPEAKER_29
transcript.pyannote[3349].start 17816.90909375
transcript.pyannote[3349].end 17823.99659375
transcript.pyannote[3350].speaker SPEAKER_29
transcript.pyannote[3350].start 17824.36784375
transcript.pyannote[3350].end 17825.85284375
transcript.pyannote[3351].speaker SPEAKER_29
transcript.pyannote[3351].start 17826.51096875
transcript.pyannote[3351].end 17827.08471875
transcript.pyannote[3352].speaker SPEAKER_29
transcript.pyannote[3352].start 17827.38846875
transcript.pyannote[3352].end 17828.01284375
transcript.pyannote[3353].speaker SPEAKER_29
transcript.pyannote[3353].start 17828.67096875
transcript.pyannote[3353].end 17833.69971875
transcript.pyannote[3354].speaker SPEAKER_00
transcript.pyannote[3354].start 17830.69596875
transcript.pyannote[3354].end 17830.91534375
transcript.pyannote[3355].speaker SPEAKER_00
transcript.pyannote[3355].start 17831.13471875
transcript.pyannote[3355].end 17831.87721875
transcript.pyannote[3356].speaker SPEAKER_29
transcript.pyannote[3356].start 17834.17221875
transcript.pyannote[3356].end 17848.04346875
transcript.pyannote[3357].speaker SPEAKER_25
transcript.pyannote[3357].start 17839.60596875
transcript.pyannote[3357].end 17840.12909375
transcript.pyannote[3358].speaker SPEAKER_29
transcript.pyannote[3358].start 17848.65096875
transcript.pyannote[3358].end 17852.02596875
transcript.pyannote[3359].speaker SPEAKER_04
transcript.pyannote[3359].start 17850.03471875
transcript.pyannote[3359].end 17850.50721875
transcript.pyannote[3360].speaker SPEAKER_04
transcript.pyannote[3360].start 17851.01346875
transcript.pyannote[3360].end 17851.43534375
transcript.pyannote[3361].speaker SPEAKER_04
transcript.pyannote[3361].start 17852.02596875
transcript.pyannote[3361].end 17853.08909375
transcript.pyannote[3362].speaker SPEAKER_29
transcript.pyannote[3362].start 17852.05971875
transcript.pyannote[3362].end 17852.09346875
transcript.pyannote[3363].speaker SPEAKER_29
transcript.pyannote[3363].start 17852.78534375
transcript.pyannote[3363].end 17856.78471875
transcript.pyannote[3364].speaker SPEAKER_04
transcript.pyannote[3364].start 17856.73409375
transcript.pyannote[3364].end 17857.08846875
transcript.pyannote[3365].speaker SPEAKER_29
transcript.pyannote[3365].start 17857.56096875
transcript.pyannote[3365].end 17858.08409375
transcript.pyannote[3366].speaker SPEAKER_04
transcript.pyannote[3366].start 17858.08409375
transcript.pyannote[3366].end 17861.12159375
transcript.pyannote[3367].speaker SPEAKER_29
transcript.pyannote[3367].start 17858.52284375
transcript.pyannote[3367].end 17858.91096875
transcript.pyannote[3368].speaker SPEAKER_04
transcript.pyannote[3368].start 17861.45909375
transcript.pyannote[3368].end 17865.77909375
transcript.pyannote[3369].speaker SPEAKER_04
transcript.pyannote[3369].start 17866.04909375
transcript.pyannote[3369].end 17869.79534375
transcript.pyannote[3370].speaker SPEAKER_29
transcript.pyannote[3370].start 17869.27221875
transcript.pyannote[3370].end 17873.33909375
transcript.pyannote[3371].speaker SPEAKER_04
transcript.pyannote[3371].start 17872.51221875
transcript.pyannote[3371].end 17872.54596875
transcript.pyannote[3372].speaker SPEAKER_07
transcript.pyannote[3372].start 17872.54596875
transcript.pyannote[3372].end 17881.18596875
transcript.pyannote[3373].speaker SPEAKER_07
transcript.pyannote[3373].start 17883.83534375
transcript.pyannote[3373].end 17898.26346875
transcript.pyannote[3374].speaker SPEAKER_07
transcript.pyannote[3374].start 17899.51221875
transcript.pyannote[3374].end 17909.89034375
transcript.pyannote[3375].speaker SPEAKER_07
transcript.pyannote[3375].start 17910.31221875
transcript.pyannote[3375].end 17914.02471875
transcript.pyannote[3376].speaker SPEAKER_07
transcript.pyannote[3376].start 17914.10909375
transcript.pyannote[3376].end 17917.55159375
transcript.whisperx[0].start 1792.281
transcript.whisperx[0].end 1792.382
transcript.whisperx[0].text 及公職、職業、職業、職業、職業、職業、職業、職業
transcript.whisperx[1].start 1800.154
transcript.whisperx[1].end 1809.74
transcript.whisperx[1].text 報告委員會初期委員已足法定人數現在開會請議事人員宣讀上次會議議事錄立法院第11屆第1會期社會福利及衛生環境委員會第6次全體委員會議議事錄時間113年3月18日星期一93分至16時56分地點群賢樓801會議室出席委員陳金輝等15人
transcript.whisperx[2].start 1823.129
transcript.whisperx[2].end 1843.25
transcript.whisperx[2].text 列席委員林德福等44人、列席官員、衛生福利部部長薛瑞元等相關人員、主席王兆吉委員喻敏。報告事項,宣讀上次會議議事錄,決定確定,通過動議一項,另有動議一項,有在場委員表示異議,委員蘇清泉等6人提案才點名表決。
transcript.whisperx[3].start 1844.011
transcript.whisperx[3].end 1860.044
transcript.whisperx[3].text 表決結果,在場出席委員13人,不含主席贊成者6人,反對者7人,贊成者少數,本案不通過。邀請衛生福利部部長、教育部、法務部、內政部警政署就社會安全網推動情形及策進作為進行專題報告.並備質詢。
transcript.whisperx[4].start 1863.286
transcript.whisperx[4].end 1889.485
transcript.whisperx[4].text 本次會議由衛生福利部部長報告後委員陳金輝等26人提出質詢軍警衛生福利部部長、內政部警政署副署長詹永茂及教育部學生事務及特殊教育司司長吳林輝及各相關主管等及其答覆委員吳春成、顏寬恆、沈伯陽、林德福、陳冠廷、張雅玲葉元之及羅志強所提書面質詢列入紀錄刊登公報
transcript.whisperx[5].start 1890.445
transcript.whisperx[5].end 1909.42
transcript.whisperx[5].text 決定一、報告及詢答完畢二、委員質詢未及答覆或請補充資料者請相關機關於二周內以書面答覆委員令要求期限者從其所定通過臨時提案十三項宣讀完畢好,請問委員會,上次議事錄有沒有錯誤或遺漏之處?
transcript.whisperx[6].start 1911.107
transcript.whisperx[6].end 1924.595
transcript.whisperx[6].text 如果沒有的話,議事錄確定。本日會議議程為邀請勞動部部長、衛生福利部、教育部就落實職場性別平等及性平三法上路如何落實雇主責任.進行專題報告.並備質詢。
transcript.whisperx[7].start 1927.436
transcript.whisperx[7].end 1929.998
transcript.whisperx[7].text 作為.進行專題報告.並備質詢。以上議程採綜合詢答。現在介紹在場委員及列席官員陳昭芝委員王振旭委員
transcript.whisperx[8].start 1958.685
transcript.whisperx[8].end 1964.302
transcript.whisperx[8].text 臨月勤委員我們介紹出席官員勞動部許明春部長
transcript.whisperx[9].start 1966.237
transcript.whisperx[9].end 1991.152
transcript.whisperx[9].text 勞發署蔡孟良署長、職安署周子蓮署長、勞動關係司王厚偉司長、勞動保險司陳美女司長、勞動福祉退休司謝倩倩司長、勞動條件及就業平等司黃維稱司長、勞動法務司傅慧芝司長、衛福部李立芬次長、
transcript.whisperx[10].start 1992.236
transcript.whisperx[10].end 2013.167
transcript.whisperx[10].text 社家署簡惠娟署長、保護服務司郭采榮副司長、教育部學生事務及特殊教育司吳林輝司長、國民及學前教育署戴淑芬副署長、國民及學前教育署學前教育組王惠秋組長。接下來,勞動部許部長就本日議題進行報告。時間5分鐘。
transcript.whisperx[11].start 2023.854
transcript.whisperx[11].end 2045.014
transcript.whisperx[11].text 主席、各位委員、女士先生大家好今天本部應邀至貴委員會就《落實職場性別平等及性平三法上路如何落實雇主責任》進行專題報告進行委員不吝指教為營造友善職場環境、性別平等工作法明定性別歧視禁止及職場性騷擾防治相關規定
transcript.whisperx[12].start 2046.416
transcript.whisperx[12].end 2061.799
transcript.whisperx[12].text 職場性騷擾防治在今年的3月8日邁向新的里程碑新制強化雇主的防治意識及責任積極保障工作權之性別平等以下就落實職場性別平等及強化雇主
transcript.whisperx[13].start 2062.559
transcript.whisperx[13].end 2077.509
transcript.whisperx[13].text 職場性騷擾防治責任分別進行說明。第一個部分是落實職場性別平等。性別平等工作法明定,雇主對於求職者或受雇者,不論在招募、徵試、禁用、分發、配置、考積、申簽、
transcript.whisperx[14].start 2078.49
transcript.whisperx[14].end 2106.053
transcript.whisperx[14].text 教育、訓練、薪資及福利措施或是對於退休、資遣、離職及解雇等事項皆不得因性別或性傾向而有差別待遇。雇主違反性別歧視禁止相關規定者除可處新台幣30萬元以上、150萬元以下罰款外必須公佈其名稱及負責人姓名並獻期令其改善。藉其未改善者應按次處罰。本部每年與各地方勞政
transcript.whisperx[15].start 2107.675
transcript.whisperx[15].end 2123.755
transcript.whisperx[15].text 機關共同辦理職場性別平等相關研習會宣導並透過網站、臉書及折頁等多元管道加強雇主對性別歧視禁止法令的認知以營造友善職場環境。」第二個部分是強化雇主職場性騷擾防治責任
transcript.whisperx[16].start 2126.017
transcript.whisperx[16].end 2139.701
transcript.whisperx[16].text 為強化雇主防治工作場所性騷擾責任,保障被害人的權益,透過跨院、跨部會的合作,並經大院的審議,完成性別平等工作法的修正,於112年8月16日公佈,並自113年3月8日全面施行。
transcript.whisperx[17].start 2144.682
transcript.whisperx[17].end 2161.398
transcript.whisperx[17].text 本次修法重點本次的性別平等工作法修法首重強化雇主的防治意識及責任明定雇主不論被害人是否提出申訴只要知悉性騷擾都要採取立即有效的糾正及補救措施
transcript.whisperx[18].start 2162.299
transcript.whisperx[18].end 2180.656
transcript.whisperx[18].text 並應提供或轉介諮詢、醫療或心理諮商等協助,完善被害人的保護及輔助制度,並建立外部公權力申訴調查機制,增訂最高負責人或僱用人為性騷擾行為人的行政法等,周延保護被害人,遏阻職場性騷擾事件發生。」
transcript.whisperx[19].start 2182.538
transcript.whisperx[19].end 2196.876
transcript.whisperx[19].text 修訂七項執法、完善配套措施,配合本次修法本部共召開超過20場的會議,迅速確實地完成了七項執法的修訂,更提供三種範本及指導手冊供雇主參用。
transcript.whisperx[20].start 2197.757
transcript.whisperx[20].end 2219.161
transcript.whisperx[20].text 並建置職場性騷擾案件的通報系統及工作場所性騷擾調查專案人才資料庫兩大系統與新法施行同步上線提供便利的線上服務並以辦理10場次的專業調查人事培訓營超過950人參訓協助地方政府及事業單位調查性騷擾的申訴案件
transcript.whisperx[21].start 2222.202
transcript.whisperx[21].end 2244.315
transcript.whisperx[21].text 另外,為了協助地方政府順利推動新制度,開辦三項補助計畫,協助地方政府聘用專業人力、洽請專業團體或人事調查案件,提供被害人心理諮商及法律諮詢與輔助,全力支持地方政府建立處理機制,並協助雇主來辦理防治措施。
transcript.whisperx[22].start 2245.802
transcript.whisperx[22].end 2274.453
transcript.whisperx[22].text 三、推動全面的教育宣導措施本部112年已辦理23場的法令說明會及3場第一線勞政人員的培訓營113年我們也將持續辦理並與13個部會共同協力推動全面的教育宣導措施讓各產業的僱主、求職者及受僱者都建立正確的性騷擾防治觀念在職場的人際互動關係彼此尊重營造真正友善的工作環境
transcript.whisperx[23].start 2275.313
transcript.whisperx[23].end 2294.403
transcript.whisperx[23].text 面對職場工作平權重要議題,本部將持續促進性別平等工作,強化職場的性騷擾防治,為促進我國職場平等共同努力。」以上報告,敬請各位委員先進指教。謝謝。好,謝謝許部長。我們補充介紹陳金輝委員、盧憲一委員
transcript.whisperx[24].start 2301.02
transcript.whisperx[24].end 2305.671
transcript.whisperx[24].text 謝謝。接下來請衛福部理事長就本日議題二進行報告。時間5分鐘。
transcript.whisperx[25].start 2313.029
transcript.whisperx[25].end 2314.069
transcript.whisperx[25].text 作為提出報告,敬請各位委員不吝指教。
transcript.whisperx[26].start 2338.905
transcript.whisperx[26].end 2357.182
transcript.whisperx[26].text 一、完善職場育兒環境本部配合行政院少子女化對策落實總統領導六屆國家一起養鎮建持續建構托育服務資源協助員工平衡就業與家庭相關作為簡述如下一、建制多元
transcript.whisperx[27].start 2358.143
transcript.whisperx[27].end 2376.236
transcript.whisperx[27].text 托育服務體系、關乎一至107年運用前瞻計劃經費補助地方政府盤點狹內空間部件公共托育機構優先補助偏鄉及資源不足地區並與符合資格之保姆及私立托嬰中心簽約為合作單位
transcript.whisperx[28].start 2378.337
transcript.whisperx[28].end 2396.514
transcript.whisperx[28].text 由政府協助家長支付托育費用今年再次提高補助金額將每名幼兒托育費用控制在家庭可自備所得的5%到10%送托公共化托育目前每月
transcript.whisperx[29].start 2397.314
transcript.whisperx[29].end 2421.301
transcript.whisperx[29].text 補助家長7千元,準公共化托育的話是補助每月1萬3千元。」瓜虎二、運用獎助措施協助提升托育服務品質。居家托育人員經地方政府機關年度考核通過者可申請每年1萬2千元的專業服務獎助。托嬰中心若採1比4的照顧比,
transcript.whisperx[30].start 2421.761
transcript.whisperx[30].end 2440.824
transcript.whisperx[30].text 每徵聘一名托育人員即可申請每年50萬元的一個優化補助,同時運用經費補助公共化與總公共化中心的營運費來補貼薪資的一個差額,穩定專業人力確保托育服務品質。」
transcript.whisperx[31].start 2442.904
transcript.whisperx[31].end 2451.015
transcript.whisperx[31].text 二、建構職場友善育兒環境、關乎於與勞動部及行政院人事行政總署109年嚴定事辦計劃、111年修正為企業機關構提供
transcript.whisperx[32].start 2457.763
transcript.whisperx[32].end 2474.63
transcript.whisperx[32].text 員工、子女托育服務實施計劃、協助雇主提供員工、子女托育服務、落實競變性的照顧、得以兼顧就業育兒、為鼓勵政府機關構設置員工、子女托育設施運用前瞻計劃經費補助開辦費,職場保姆最高可補助100萬元,托育中心最高補助500萬元。
transcript.whisperx[33].start 2481.934
transcript.whisperx[33].end 2496.311
transcript.whisperx[33].text 企業附設托嬰中心可向勞動部申請托兒設施措施設置及經費補助並可與主管機關簽訂總公共合作契約協助員工申請托育補助減輕員工育兒負擔
transcript.whisperx[34].start 2499.014
transcript.whisperx[34].end 2508.503
transcript.whisperx[34].text 及申請托育服務品質講座等措施。」二、托育人員資格與輔導及培訓策進規範、托育照顧屬專業服務之一環、托育人員的專業職能、工作倫理及職業道德培訓等事項、攸關兒童照顧品質與安全
transcript.whisperx[35].start 2520.735
transcript.whisperx[35].end 2532.96
transcript.whisperx[35].text 之說明如下。一、托育人員的資格規範。關乎一、居家托育登記制採取證照學歷訓練三軌並行。因向直轄市縣市主管機關申請登記,經審核資格並查調本人及同住成員
transcript.whisperx[36].start 2537.942
transcript.whisperx[36].end 2552.411
transcript.whisperx[36].text 無消極資格、實地檢核居家托育環境安全性通過後發給登記書才可以來職業。」瓜虎二、托嬰中心托育人員採證照、學歷、雙軌症並行。托嬰中心聘僱工作人員前應檢附相關證明文件、報主管機關核准、人員異動的時候一同。三、本部建制
transcript.whisperx[37].start 2564.378
transcript.whisperx[37].end 2585.135
transcript.whisperx[37].text 托育服務整合資訊系統.地方主管機關透過這個系統.對托育人員進行管理與督導.並對曾違反兒童虐待者予以註記.主卻在任職而上福利相關工作.被維護受托兒童的權益。二、專業職能訓練.托育人員不論是參加專業人員的訓練實施計畫課程.或是每年的在職訓練18個小時課程.除了嬰兒的
transcript.whisperx[38].start 2594.403
transcript.whisperx[38].end 2600.912
transcript.whisperx[38].text 嬰幼兒的發展、健康照護之外都包括了托育服務工作的專業倫理所責、托育人員職責與社會責任及倫理所責。」
transcript.whisperx[39].start 2606.761
transcript.whisperx[39].end 2626.629
transcript.whisperx[39].text 三、檢討精進本部近期將邀請專家與職下市縣市主管機關針對未能各守專業倫理與責任的托育人員救法制度面來進行檢討那我們在中央跟地方也有責任跟民間團體共同合作建構職場的一個環境跟強化從業人員的職業倫理與
transcript.whisperx[40].start 2633.111
transcript.whisperx[40].end 2648.558
transcript.whisperx[40].text 與職者。」以上報告。謝謝。好。謝謝衛福部理事長的報告。有關本次會議各項書面資料均列入紀錄刊登公報。現在開始詢答作以下宣告。本會委員詢答時間6加2分鐘。列席委員4分鐘。10點半截止發言登記。委員如有書面質詢,請於散會前提出。預期不受理。
transcript.whisperx[41].start 2654.933
transcript.whisperx[41].end 2667.88
transcript.whisperx[41].text 暫定10點30分休息5分鐘,原則上11點30分處理臨時提案。如有提案,請盡早提出,以利益勢進行。」現在請登記第一位委員陳昭芝委員進行發言。
transcript.whisperx[42].start 2680.003
transcript.whisperx[42].end 2701.99
transcript.whisperx[42].text 陳副委員好部長早請問部長聽過花花班這個名詞嗎有聽過花花班是在護理界常用的這個名詞就是因為在很短的時間內他必須去上白班、小夜班、大夜班那這種混亂的工作排程其實會影響生理時鐘而且讓護理師他們就是沒有辦法充分的休息那身心俱疲
transcript.whisperx[43].start 2703.03
transcript.whisperx[43].end 2730.837
transcript.whisperx[43].text 那我們知道這個勞基法第34條雖然對排班是有所規定可是其中有一句話就是經勞工同意者不在此縣所以某一些醫院就會拿來當作一個閨密的護身符所以這個縣況還是有花花班的存在成為護理師們的噩夢那我想再請問部長就是說假設我今天上班是8點到5點的班那如果我今天5點55分下班的話請問這樣有沒有可以領加班費
transcript.whisperx[44].start 2734.064
transcript.whisperx[44].end 2740.987
transcript.whisperx[44].text 其他職業領域及其他職業領域及其他職業領域及其他職業領域及其他職業領域及其他職業領域及其他職業領域及其他職業領域及其他職業領域及其他職業領域及其他職業領域及其他職業領域及其他職業領域及其他職業領域及其他職業領域及其他職業領域及其他職業領域及其他職業領域及其他職業領域及其他職業
transcript.whisperx[45].start 2751.272
transcript.whisperx[45].end 2768.91
transcript.whisperx[45].text 院方不滿一小時就不算加班,甚至有些醫院他的加班只能進入key-in整數的部分,所以讓部長知道這件事。那臺灣護理產業工會的調查也指出護理師的加班計算時數方面有44%的人認為59分鐘不算加班
transcript.whisperx[46].start 2774.092
transcript.whisperx[46].end 2795.561
transcript.whisperx[46].text 委員這個不對喔,這依法它就是有加班事實就是要給加班費當然就是可能按比例啦看他多少時間看他怎麼算那我今天特別在談護理師的部分因為真的大家都很關注護理師那衛福部的照護師有架設一個平台就是護理職場爭議通報平台那我的助理有打電話去詢問就是經過通報之後這個資料案件會轉到地方衛生局然後再轉到勞工局去做集合可是有民眾陳情說
transcript.whisperx[47].start 2804.184
transcript.whisperx[47].end 2822.931
transcript.whisperx[47].text 這個勞工局在做勞檢的時候會向他的主管透露舉報人,那造成他職場上受到霸凌,請問這樣子的話有誰敢去做通報嗎?我知道勞檢人力也是很吃緊,他們有很大的壓力,但是是不是希望勞動部在這個部分保護這個舉發人可以做的落實?
transcript.whisperx[48].start 2825.089
transcript.whisperx[48].end 2852.386
transcript.whisperx[48].text 不可以洩漏提發人的資訊﹖因為現在有陳情人來表達這件事這個我們會注意我們要提醒這些地方勞工局的相關的警察人員這是不應該的就是希望以後要落實那另外根據這個平台的一些統計如果我們看勞基法相關的部分它通報最多的爭議包括第一個例假日上班的爭議工時過長花花班及更換班次的間隔沒有達到11個小時或是沒有給加班費
transcript.whisperx[49].start 2853.266
transcript.whisperx[49].end 2856.831
transcript.whisperx[49].text 那請問部長,這些申訴案有沒有做一些後續的追蹤?
transcript.whisperx[50].start 2858.14
transcript.whisperx[50].end 2882.525
transcript.whisperx[50].text 有沒有資料可以瞭解?通報在這個平台上的話有沒有做一些?各位委員報告這是通報到衛福部的平台那我們的勞動部資料給我們勞動部說我們會針對申訴案件、申訴案檢查那有些是屬於比較模糊的我們會列為專案檢查做處理那我們針對醫療保健服務業112年我們會做專案檢查
transcript.whisperx[51].start 2886.826
transcript.whisperx[51].end 2906.152
transcript.whisperx[51].text 如果今天大概沒有辦法提供我參考,如果你有一些資料做分析跟整理,是不是會麻煩提供給我,我來瞭解一下。這樣可以。那勞動部曾經在上一屆的委員會有承諾說在今年會進行所謂的促進護理人員留才久用。
transcript.whisperx[52].start 2907.172
transcript.whisperx[52].end 2921.028
transcript.whisperx[52].text 這個研究計畫,請問這個研究計畫現在還在進行嗎?有沒有初步結果?或是停擺了?報告委員,這個人我,因為這個應該是我們勞研所的業務啦,那我來追蹤一下再跟委員回報好嗎?
transcript.whisperx[53].start 2921.869
transcript.whisperx[53].end 2922.469
transcript.whisperx[53].text 進行職場育兒環境及托育人員專業職能、工作倫理及職業道德之培訓策進
transcript.whisperx[54].start 2944.775
transcript.whisperx[54].end 2964.269
transcript.whisperx[54].text 在工作上但沒有得到加班的認同或加班費,當中包括交班時間沒有納入工時,打下班卡後繼續工作,甚至有受訪者表示他在平和、開會或做醫院評鑑這些作業都沒有算在正常工時,都是一種隱形工時。
transcript.whisperx[55].start 2967.931
transcript.whisperx[55].end 2993.162
transcript.whisperx[55].text 那因為你在2018年您上任沒有多久的時候在委員會、衛環委員會您有說過說因為人力物力有限所以勞檢應該要有分級制度針對這個所謂的高風險和高違規的這個事業單位來優先處理雖然我從2022年的這個相關年報看起來好像醫療保健這個部分違反勞基法的狀況不是很多但是因為畢竟勞檢的覆蓋率才三成嘛
transcript.whisperx[56].start 2994.483
transcript.whisperx[56].end 3000.206
transcript.whisperx[56].text 他未必能完全反映整體事實狀況。」所以想問部長,勞動部可不可能針對醫療保健這個月來進行優先的勞檢?
transcript.whisperx[57].start 3007.189
transcript.whisperx[57].end 3009.87
transcript.whisperx[57].text 其實我們每年都有專案檢查然後專案的名單就是我們會針對過往這個紀錄違規紀錄不佳的我們都會進行
transcript.whisperx[58].start 3024.344
transcript.whisperx[58].end 3052.986
transcript.whisperx[58].text 在選列進來也有請衛福部提供一些建議的業者讓我們來做主要是我想這近年來大家都看到了護理師的工作護理人員他的工作的環境、境遇、待遇等等會不會你的缺乏大家都不斷地很重視而且甚至已經影響到醫療機構的運作因為很多醫院因為護理師的流失他甚至被迫關病床所以我特別就是說請部長考慮可不可以就這個部分
transcript.whisperx[59].start 3053.706
transcript.whisperx[59].end 3058.548
transcript.whisperx[59].text 衛生福利部、教育部、教育部、教育部、教育部、教育部、教育部、教育部、教育部、教育部、教育部、教育部、教育部、教育部、教育部、教育部、
transcript.whisperx[60].start 3077.074
transcript.whisperx[60].end 3094.1
transcript.whisperx[60].text 就發生爆炸而殉職。那還有7人輕重傷,殉職的下凡人都才30幾歲。那基層的警消人員他們已經長期在吶喊說希望中央能夠開放組工會但是一直沒有獲准可是去年的民洋大火之後行政院趕緊通過了公務人員的寫法的這個
transcript.whisperx[61].start 3095.08
transcript.whisperx[61].end 3119.166
transcript.whisperx[61].text 公務員協會的法修正,允許成立特種公務員協會。」但是因為來不及在上一屆的議會審議,所以清一屆國會要重新打掉重建。我想了解這個議題,就是說到現在為止大概討論了整整10年,那一直在研議中,難怪有網友說了一句話,錦霄永遠是今日功績,明日忘記。
transcript.whisperx[62].start 3120.646
transcript.whisperx[62].end 3142.202
transcript.whisperx[62].text 或是說我們政府總是要在付出最大的生命代價之後才會去想要做一些改變那我想知道部長您對這件事錦囂成立工會的您的態度是如何?報告委員我們對於說強化他們的結社權跟結商權這個我們是支持的只是說因為他具有公務人員的身份
transcript.whisperx[63].start 3143.223
transcript.whisperx[63].end 3169.434
transcript.whisperx[63].text 還有就是說他這個整個體系適用的這個範圍問題所以行政院跟全序考試院這邊也跨院協商而且我們那個公務人員協會法上一次他就是朝部長是部長就是說我瞭解他們是屬於公務員那不是勞工所以不能使用很多勞工所要的公費勞基法的但是我要提醒說他們的工作型態還有他們執行勤務的風險
transcript.whisperx[64].start 3171.115
transcript.whisperx[64].end 3199.767
transcript.whisperx[64].text 其實跟很多公務員是不太一樣的還是不一樣的所以才會有說因為公務人員協會法這個保障權益它遠不如公會法所以而且另外消防員工作權益促進會這消促會成立10年了他們有陸續提出一些職業安全當然設備不足、訓練不足還有工職場等這個問題但是因為他們不是公會他們沒有辦法要求僱主跟他們做協商因為沒有這個協商的這個義務之後他們很容易在爭取權益的時候受到
transcript.whisperx[65].start 3200.347
transcript.whisperx[65].end 3218.32
transcript.whisperx[65].text 秋後算賬。」包括有一位消防員叫徐國堯,他爭取權益以後被寄過解職,就因為他沒辦法受到工會法的保障。所以部長就是說支持警消組、工會,這個難道沒有轉圜的餘地嗎?因為他們實在跟一般的公園是有落差的,他們的這個執勤的這個狀態跟他的風險是有落差的。
transcript.whisperx[66].start 3222.384
transcript.whisperx[66].end 3231.013
transcript.whisperx[66].text 因為他的身份問題的確還是沒有辦法完全來適用公會法但我是覺得我剛才講就是說如何加強他們這個結社權、團結權還有包括說他們未來的
transcript.whisperx[67].start 3236.92
transcript.whisperx[67].end 3247.404
transcript.whisperx[67].text 一些能夠協商的事項,盡量去放寬,盡量讓他擴大參與範圍。」部長就是說您願意考慮用增加、強化他們的這些權、團結權或是協商權。還有這些參與的事項,來讓他的權益能夠受到保障。這個部分我們都在相關的會議討論的時候,我們勞動部都有參與也提供意見。不管是副理事或警消人員,他們都在在前線保護我們的生命跟這個
transcript.whisperx[68].start 3266.212
transcript.whisperx[68].end 3293.54
transcript.whisperx[68].text 安全。」而且他們背後都有一個等待他們下班回家團圓的一個家庭那面對疾病這個還有災難真是犯罪的行為在突發事情的時候這一群英勇的第一線工作者他們用專業跟熱情來守護我們的安全跟健康因為他們盡心盡力所以在發生重大事件的時候他們就有機會讓我們把災害跟這個損失降到最低那每一個訓執的背後老實說都是無法彌補的損失每一地護理師的
transcript.whisperx[69].start 3295.52
transcript.whisperx[69].end 3314.505
transcript.whisperx[69].text 漢水每一滴消防員的淚水。」我想都在提醒我們我們就是說不是只要他們不是只需要掌聲跟感謝我們要具體的去支持他們做一些改變那我希望不要再用殉職換改革也不要再有護理師過勞跟火神的眼淚好嗎好謝謝部長謝謝委員好我們謝謝陳昭之委員的質詢接下來我們請陳金輝委員進行質詢
transcript.whisperx[70].start 3333.932
transcript.whisperx[70].end 3341.862
transcript.whisperx[70].text 相請部長主席各位委員同事各位官員早安主委好早安
transcript.whisperx[71].start 3344.005
transcript.whisperx[71].end 3356.77
transcript.whisperx[71].text 好這個是大家都知道的事情在臺灣呢每一個兒童不管是什麼身份的兒童我們都應該要尊重兒童權利公約而且用兒童最佳利益為優先考量
transcript.whisperx[72].start 3358.842
transcript.whisperx[72].end 3374.688
transcript.whisperx[72].text 這個週末很多人都感到很傷心因為我們的虐童案還未結束但又發現有兩名失聯移工的子女疑似遭到虐待而且其中一位已經離世了另外一位我們非常希望他在好轉中
transcript.whisperx[73].start 3375.928
transcript.whisperx[73].end 3399.398
transcript.whisperx[73].text 好,我們都知道呢在台灣的移工人數嘛大概有一半以上是女性而且78%是25到44歲的青壯年所以在這個年紀懷孕也是相當合理的但他們的生育權他們生下來的小朋友有沒有辦法讓我們台灣政府好好的保障是我們今天要來討論的議題
transcript.whisperx[74].start 3402.388
transcript.whisperx[74].end 3416.422
transcript.whisperx[74].text 這邊很難過的看到兩位監委在111年就已經對勞動部提出糾正說到避免女性外籍移工在懷孕後被迫終止契約回國或發生失聯
transcript.whisperx[75].start 3418.143
transcript.whisperx[75].end 3446.518
transcript.whisperx[75].text 但勞動部空有政策與措施卻落實不足導致懷孕的移工被迫解約不斷發生甚至擔心遭解約而隱忍懷孕未做產檢沒有辦法保障懷孕移工的權益而上週末的這個新聞這兩個可憐的小朋友他們就是這樣他們沒有戶口黑戶而且沒有受過任何的產檢也沒有打過任何的疫苗
transcript.whisperx[76].start 3448.339
transcript.whisperx[76].end 3462.834
transcript.whisperx[76].text 請問部長,這個111年的糾正案文,到現在您有什麼具體的解方嗎?報告委員,第一個,那兩名小朋友,其中一位不是醫工
transcript.whisperx[77].start 3463.474
transcript.whisperx[77].end 3470.037
transcript.whisperx[77].text 二、邀請衛生福利部、教育部及職業道德之培訓策進二、邀請衛生福利部、教育部及職業道德之培訓策進
transcript.whisperx[78].start 3485.764
transcript.whisperx[78].end 3504.711
transcript.whisperx[78].text 行政部、勞動部、衛福部、還有教育部就說因為黑戶寶寶這個問題不是只有說失聯移工他可能包括一些就是非法居留的外國人移民署目前調查起來如果是失聯移工的黑戶寶寶已經到了一千到兩千之間
transcript.whisperx[79].start 3505.211
transcript.whisperx[79].end 3517.182
transcript.whisperx[79].text 報告委員,我們大概近20年,我們看統計資料,近20年,黑屋寶寶大概有1萬8,然後我們失聯乙工大概不到20%,大概有3500多人,大概19.多%,不到我們之一。
transcript.whisperx[80].start 3523.707
transcript.whisperx[80].end 3547.268
transcript.whisperx[80].text 三千五百多人總人數黑五寶寶是一萬八這個部分當然我們跟委員報告這件事情就正在行政院有召集跨部會協商那就是針對因為這些黑五寶寶涉及很多問題第一個他的國籍、他的安置、他的醫療、他的社福、他的教育等等所以有
transcript.whisperx[81].start 3548.429
transcript.whisperx[81].end 3568.375
transcript.whisperx[81].text 請相關部會,目前主責的部會是衛福部,我們各部會有分工,像內政部他就是這些黑戶寶寶他的國籍他的居留,還有就是私人移工他所吸子女的安置是內政部。但是現在111年糾正到至今還沒有結案。
transcript.whisperx[82].start 3569.997
transcript.whisperx[82].end 3596.507
transcript.whisperx[82].text 委員這個就是說糾正以後我們就是跨部會那麼大家去本於各自的權責去協助這些黑屋寶寶的相關的事務那像勞動部主要黑屋寶寶他們安置還有遣返的費用全部都是那個勞動部來負責其實我有把你們回覆了四份公文啦你們有提出四份報告回覆檢查我都把它看完了
transcript.whisperx[83].start 3597.287
transcript.whisperx[83].end 3619.141
transcript.whisperx[83].text 但裡面大部分的內容很多是複製貼上那越來越長所以其實等一下我們來一起檢討一些數據因為看起來這兩位監察員很密切的在追蹤這個案子他們115年才要退休但是我們勞動部具體可以做出什麼改善似乎是目前還看不太出來
transcript.whisperx[84].start 3619.981
transcript.whisperx[84].end 3641.853
transcript.whisperx[84].text 所以我們來看一下我們仔細的分析我們女性移工因為他們也符合領取生育補助所以他們來領取因為懷孕領取生育補助的人數跟最後這些懷孕的人在終止契約之下離境我們從107年到110年你看到他的比例越來越高從28%升高到74%
transcript.whisperx[85].start 3645.675
transcript.whisperx[85].end 3668.761
transcript.whisperx[85].text 但從這個數據我們看不出來幾個資訊第一他這個終止契約到底是不是假終止真違法他其實是不願意被解聘的再來我們如果領了這個生育補助但是最後沒有離境你們有沒有去好好的追蹤他們有沒有好好的生下寶寶或是他們失聯了呢
transcript.whisperx[86].start 3671.572
transcript.whisperx[86].end 3686.906
transcript.whisperx[86].text 報告委員像現在的這種終止我先說明一下地方政府一定要做驗證一定要驗證一定要確認他是有這個終止的真正的意思他們才會準然後現在就是說
transcript.whisperx[87].start 3688.827
transcript.whisperx[87].end 3712.225
transcript.whisperx[87].text 他們假設是合一宗子返國的這個有我們去年去年的人數2000我們現在你看一下數據這是最新的112年上半年每5個有領到生育補助的4個就會離境所以假使我是移工的同儕
transcript.whisperx[88].start 3713.906
transcript.whisperx[88].end 3738.779
transcript.whisperx[88].text 我是嚇死啊 原來懷孕以前20%的人要離境現在80%的人會終止合約離境所以對我來說 移工如果懷孕只有一個選擇啊就是離開這裡嘛第二個選擇就是我們所謂的失聯嘛那您剛講的這個驗證機制吼你有去追查這個驗證機制的成效1955專線的成效如何嗎
transcript.whisperx[89].start 3743.106
transcript.whisperx[89].end 3767.201
transcript.whisperx[89].text 這個報告委員我們都有因為這個是地方勞政機關他一定要去確認所以這個部分我們其實都會去做也會追蹤我們來看一下這是你的報告所述你的報告所述近5年並無雇主以移工懷孕為由終止而違反性平法但監察院紀惠蓉委員調查
transcript.whisperx[90].start 3769.703
transcript.whisperx[90].end 3796.983
transcript.whisperx[90].text 這個找了1955專線所申訴的20個案件最終呢都是撤案他就被核卸掉了所以其實你的數據並沒有辦法完整的呈現最終這個1955的調查到底有沒有效這個驗證到底有沒有效你的監察院報告裡面都有寫啦你們在調解的時候會注意他有沒有面露這個緊張的神情啊等等的這個四份都一樣啦但是
transcript.whisperx[91].start 3797.483
transcript.whisperx[91].end 3802.909
transcript.whisperx[91].text 很顯然的這個沒有什麼效為什麼懷孕而返國的人這幾年來會從20%變80%
transcript.whisperx[92].start 3808.084
transcript.whisperx[92].end 3827.544
transcript.whisperx[92].text 那報告委員是這樣子假設真的有這個被迫的情形我們一定會介入處理但是我們也鼓勵移工他勇敢申訴其實我們現在就是有做宣導現在移工進來部長你有看過這本書嗎這本書是調查失聯移工他們為什麼離開台灣
transcript.whisperx[93].start 3841.19
transcript.whisperx[93].end 3853.835
transcript.whisperx[93].text 這本書很詳細的描述他們是什麼原因離開其實有些故事還蠻傷心的有一個移工說他花了一萬多美金兩次的中介費才來台灣工作但他不小心懷孕了
transcript.whisperx[94].start 3854.295
transcript.whisperx[94].end 3869.755
transcript.whisperx[94].text 他知道他一定公司會強制把他送回越南所以他才選擇失聯因為他一定要賺回那一萬多美金的仲介費才有辦法所以這個監察院的報告已經很顯示你們這件事情好像跟你實際調查還有獲得的資訊不同再來
transcript.whisperx[95].start 3873.7
transcript.whisperx[95].end 3889.962
transcript.whisperx[95].text 對,再來我們從移民署的報告看起來你看109年到112年他最後呢需要安置懷孕的失聯移工或是稀有子女的居然增加了三倍居然增加了三倍
transcript.whisperx[96].start 3893.277
transcript.whisperx[96].end 3912.244
transcript.whisperx[96].text 所以對懷孕的移工而言他真的是只有兩個很不幸的選擇不是回去不然就是變成我們社會安全網接不住的小孩就是上週很悲慘的新聞所以最後我們剩下時間不多本席提出三大改善的方向
transcript.whisperx[97].start 3913.184
transcript.whisperx[97].end 3929.813
transcript.whisperx[97].text 當然這些部長都已經知道了差不多了第一宣導沒有到位所以我提供一個新的建議因為在我職業20年的生涯我們面對非預期懷孕因為你從來沒有去這些安置他們的地方詢問他說你這個懷孕是預期還是非預期嗎當我們面對非預期的懷孕的時候其實
transcript.whisperx[98].start 3934.776
transcript.whisperx[98].end 3951.196
transcript.whisperx[98].text 副產科醫師會跟個案討論未來我們應該要怎麼避孕因為雖然小時候學校都有教過但是難免都會忘記嘛所以你應該要在他入境的時候除了對他的權益、生育權等等性平法全部都有教育以外我想避孕也是很重要一環
transcript.whisperx[99].start 3952.057
transcript.whisperx[99].end 3976.649
transcript.whisperx[99].text 對他他他有可能在他工作的期間他並不希望有非預期的懷孕所以你的專線也應該要有提供這樣子的諮商嘛就可以避免這些遺憾的事情還有在他合約這個終止合約你們應該要更完善的法律跟輔導資源以及建立我們這個僱主呢友善移工的育兒環境不然我們還要面對更多的移工我不曉得未來
transcript.whisperx[100].start 3977.609
transcript.whisperx[100].end 3992.679
transcript.whisperx[100].text 我們應該要怎麼處理這些失聯的移工還有他們的黑戶寶寶,是吧?是,謝謝委員的指教,我們會再強化有些都在做了,有些如果還不足的,我們再把它精進再強化有,好,謝謝,謝謝部長好,謝謝陳金輝委員的質詢接下來我們請林月琴委員質詢
transcript.whisperx[101].start 4023.093
transcript.whisperx[101].end 4027.736
transcript.whisperx[101].text 有請我們的那個勞動部部長跟學特師的師長來請部長還有師長信憑三法通過那在8月16那我們的信憑三法通過之後呢那這三部法的對象事實上不太一樣
transcript.whisperx[102].start 4052.208
transcript.whisperx[102].end 4071.088
transcript.whisperx[102].text 性平工作平等性平工作性工法裡邊事實上對職場還有我們的呃性平的教育法事實上是學校好那性騷事實上不特定對象好所以想問的是我不知道勞動部這邊到底對於好整個的好呃流程裡邊
transcript.whisperx[103].start 4072.95
transcript.whisperx[103].end 4099.084
transcript.whisperx[103].text 已經有讓所有的我們的職場工作者都了解了嗎?」這是一個。那一樣就是教育部也是。請部長這邊。是。各位報告,其實我們現在民眾遭遇到性騷擾的案子,他像任何一個機關來申訴,我們接到以後,機關內部他自己會去
transcript.whisperx[104].start 4100.962
transcript.whisperx[104].end 4125.925
transcript.whisperx[104].text 了解之後就直接發給主責的機關去處理當然這個部分如果民眾知道要比如說校園當然是屬於學校那如果是職場當然是勞動部然後如果是其他就是內政部這裡衛福部對不起衛福部但是如果說民眾搞不清楚沒有關係你只要提出申訴我們
transcript.whisperx[105].start 4127.686
transcript.whisperx[105].end 4134.272
transcript.whisperx[105].text 立法院第11屆第1會期社會福利及衛生福利及職業道德之培訓策進 立法院第11屆第1會期社會福利及職業道德之培訓策進
transcript.whisperx[106].start 4157.569
transcript.whisperx[106].end 4161.294
transcript.whisperx[106].text 學校障礙。」我不知道教育部這邊有沒有一些因應的措施。好,我想
transcript.whisperx[107].start 4165.097
transcript.whisperx[107].end 4191.037
transcript.whisperx[107].text 平常在老師跟學生互動過程應該可以觀察到學生的情緒行為各方面的表現那如果有發現異常的狀況應該介入關懷並且進一步了解是不是有輔導的需求那如果他不想要用學校的輔導機制教育部有什麼其他替代的資源我們可以提供有關屬於那個就診的一些諮詢跟服務
transcript.whisperx[108].start 4194.459
transcript.whisperx[108].end 4221.741
transcript.whisperx[108].text 這是我嘗試把各個拟出來我覺得現在我看到目前所有的業務單位整個的流程還是停留在性平三法修正之前所以也請只要相關的部會都要按照這樣子來做執行那謝謝司長那司長請回那部長也留著那再來就是請我們的代副署長
transcript.whisperx[109].start 4230.404
transcript.whisperx[109].end 4235.628
transcript.whisperx[109].text 但目前0-2歲的29萬人,托育中心跟保姆總數加起來5.7萬。看起來,現在110年資料還是看到托育的涵蓋率是38.5%,請問衛福部怎麼去增加這個量能,來完善我們雙薪家庭的
transcript.whisperx[110].start 4256.823
transcript.whisperx[110].end 4262.878
transcript.whisperx[110].text 育兒環境。」目前我們托育涵蓋率服務的涵蓋率是38.05可是我們目前的
transcript.whisperx[111].start 4263.547
transcript.whisperx[111].end 4267.289
transcript.whisperx[111].text 職場性別平等及性平三法上路如何落實職場性別平三法上路如何落實職場育兒環境及職業道德之培訓策進
transcript.whisperx[112].start 4287.698
transcript.whisperx[112].end 4297.767
transcript.whisperx[112].text 對、三十五所以在這個部分我們當然希望整個托育服務的涵蓋率還是要在如果要到三十五當然我們還要再提供比現在更高
transcript.whisperx[113].start 4298.191
transcript.whisperx[113].end 4326.076
transcript.whisperx[113].text 所以我們會再來持續針對不管是保姆跟托嬰中心都能夠來積極的來組建我覺得也要看均等因為我覺得成相差異如果你提供的事實上是沒有辦法當然你會覺得這23%要送多少那我涵蓋率有38.5我覺得還是要去思考我們會來注意成相差距的問題這幾天一直在沸沸揚揚的就是我們很關心每一個孩子到了保姆家、到了托嬰中心、到了幼兒園到底安不安全
transcript.whisperx[114].start 4327.156
transcript.whisperx[114].end 4349.623
transcript.whisperx[114].text 那就要問目前托育中心的稽查又是提前預告沒有無預警抽查只要沒預警的方式的話那到底抽到的是真實現象嗎因為這是我從民間拿到的他們共同的一些問題點那再來就是居托人員如果違規
transcript.whisperx[115].start 4351.041
transcript.whisperx[115].end 4380.468
transcript.whisperx[115].text 各地方的處置不太一樣怎麼處置不太一樣有的縣市開勸導單就明明是已經是違規你開勸導單而且有的縣市要求說你要輔導他三次都已經違反規定了你還輔導他三次難怪居托人員出了事情的時候中央你就會措手不及可是地方這樣子做的時候你們瞭不瞭解地方的做法是什麼地方有各自的做法那管得嚴的縣市呢那可能居托人員
transcript.whisperx[116].start 4381.141
transcript.whisperx[116].end 4396.762
transcript.whisperx[116].text 行政委員會及其他職業部長及其他職業部長及其他職業部長及其他職業部長及其他職業部長及其他職業部長及其他職業部長及其他職業部長及其他職業部長及其他職業部長及其他職業部長及其他職業部長及其他職業部長及其他職業部長及其他職業部長及其他職業部長及其他職業部長及其他職業部長及其他職業部長及其他職業部長及其他職業部長及其他職業部長及其他職業部長及其他職業部長及其他職業部長及其他職業部長及其他職業部長及其他
transcript.whisperx[117].start 4398.854
transcript.whisperx[117].end 4403.498
transcript.whisperx[117].text 及職場性別平等及性平三法上路如何落實職場性別平等及性平三法上路如何落實職場育兒環境及職業道德之培訓策進
transcript.whisperx[118].start 4419.245
transcript.whisperx[118].end 4448.133
transcript.whisperx[118].text 是不是有落實退場機制還有防止我們黑心業者重啟爐灶在這邊定的是托育中心、托育家園在兩年內你若違反我們的兒少權法的規定的時候採取就不能夠也跟上講去年呢臺北市發生了一個案子也就是員長負責人對那個收托的孩子呢
transcript.whisperx[119].start 4449.687
transcript.whisperx[119].end 4478.117
transcript.whisperx[119].text 強制猥褻。」那可是他有托育中心欸那為什麼他7月份已經事實上7月11已經被羈押可是他托育中心照樣同樣一個負責人持續的在在經營如果按照這樣違反兒少權法你不是應該就要去停止徵請他退准工嗎可是那也要問我們的副署長就是這個法規明定的不這麼清楚的時候那我不知道就是兩邊不勾結
transcript.whisperx[120].start 4479.037
transcript.whisperx[120].end 4506.207
transcript.whisperx[120].text 然後呢我有托幼兒園我又有托育中心然後我照樣一樣那如果是都是他經營的話那怎麼會是他還是可以持續經營等到媒體揭發之後才說那要讓他那大家趕快換負責人這就是我們又是借師還魂的一種做法所以我不知道衛福部跟我們的教育部怎麼去處理這樣兩邊資料到底勾不勾結
transcript.whisperx[121].start 4507.566
transcript.whisperx[121].end 4520.757
transcript.whisperx[121].text 其實是有勾結的我們是有定期的那個網路市長到底怎麼定期否則的話他已經是被羈押的狀態之後他的托育中心照樣就幼兒園即時的間接了
transcript.whisperx[122].start 4524.76
transcript.whisperx[122].end 4538.836
transcript.whisperx[122].text 其他職位及其他職位及其他職位及其他職位及其他職位及其他職位及其他職位及其他職位及其他職位及其他職位及其他職位及其他職位及其他職位及其他職位及其他職位及其他職位及其他職位及其他職位及其他職位及其他職位及其他職位及其他職位及其他職位及其他職位及其他職位及其他職位及其他職位及其他職位及其他職位及其他職位及其他職位及其他職位及其他職位及其他職位及其他職位及其他職位及其他職位及其他
transcript.whisperx[123].start 4539.497
transcript.whisperx[123].end 4540.657
transcript.whisperx[123].text 衛生福利部、教育部、教育部及職業道德之培訓策進
transcript.whisperx[124].start 4566.767
transcript.whisperx[124].end 4573.608
transcript.whisperx[124].text 行政委員會及職場性別平等及性平三法上路如何落實職場性別平三法上路如何落實職場育兒環境及職業道德之培訓策進
transcript.whisperx[125].start 4596.653
transcript.whisperx[125].end 4598.514
transcript.whisperx[125].text 提供提供提供提供
transcript.whisperx[126].start 4620.635
transcript.whisperx[126].end 4631.819
transcript.whisperx[126].text 我們希望提高托育量能,希望衛福部能完善准工退場機制,也希望勞動部提供人力物力補助,增加企業
transcript.whisperx[127].start 4634.158
transcript.whisperx[127].end 4635.098
transcript.whisperx[127].text 行政委員會 提供提供
transcript.whisperx[128].start 4660.404
transcript.whisperx[128].end 4666.268
transcript.whisperx[128].text 好,接下來我們請盧縣一委員進行質詢。主席有請市長吳林輝。好,請理事長。
transcript.whisperx[129].start 4690.086
transcript.whisperx[129].end 4717.825
transcript.whisperx[129].text 委員好我們都知道原住民的問題都是比較屬於資源缺乏的地區那我們再審視一下我們現在公共托育家園來看我們幾乎80%都是設置在直小市非直小市只佔了兩成那我們原住民地區當然是在非直小市那剛剛看了那個比例38.05非常的羨慕因為我們常常都是零
transcript.whisperx[130].start 4718.846
transcript.whisperx[130].end 4736.186
transcript.whisperx[130].text 所以我想問的是掛齡的部分目前掛齡的部分這個資料顯示有新竹、彰化、嘉義、台南、屏東跟花蓮這掛齡的部分叫做公社、民營、托嬰中心你們有沒有想辦法解決尤其是我們屏東縣
transcript.whisperx[131].start 4738.949
transcript.whisperx[131].end 4744.814
transcript.whisperx[131].text 衛生福利部長、教育部長、教育部長、教育部長、教育部長、教育部長、教育部長、教育部長、
transcript.whisperx[132].start 4762.23
transcript.whisperx[132].end 4763.012
transcript.whisperx[132].text 行政委員會委員會委員會委員會委員會委員會委員會委員會
transcript.whisperx[133].start 4768.274
transcript.whisperx[133].end 4772.658
transcript.whisperx[133].text 進行專題報告:立法院第11屆第1會期社會福利及衛生福利部、教育部就:「落實職場性別平等及性平三法上路如何落實職場育兒環境及托育人員專業道德之培訓策進
transcript.whisperx[134].start 4794.736
transcript.whisperx[134].end 4818.252
transcript.whisperx[134].text 其實我們在那個前瞻計畫裡面其實本來就是你如果有像在偏鄉可能是公共家園比較合適那其實我們都有這樣子的一個經費開辦費還有相關的秀善費可是沒有人申請嗎還是目前因為那個都是由縣市提出申請縣市去評估提出申請
transcript.whisperx[135].start 4818.971
transcript.whisperx[135].end 4843.818
transcript.whisperx[135].text 因為縣市還是比較清楚自己的支援的一個部件哪邊比較缺乏那當然這個部分我們可以再跟縣市來討論目前我們2到6歲的公共化教保設施的分布跟數量也都是集中在六都然後非營利幼兒園有65.52%也是集中在六都所以2到6歲的我們偏鄉也沒有比較好這個就請教育部來回應
transcript.whisperx[136].start 4846.031
transcript.whisperx[136].end 4873.752
transcript.whisperx[136].text 這邊就跟委員說明一下就是我們目前公共化的那個資源部分我們其實一直都有在努力在做處理那至於那個偏向的部分其實專業偏向的部分它就除了公共化資源我們公立跟便利之外它本來因為都會區它本來需求大它當然是會比較集中那偏向的地方除了公立又有我們會設置之外那其實目前也有在福島去設置那我想知道的是你知道從這裡開車到福山里有多遠嗎
transcript.whisperx[137].start 4875.053
transcript.whisperx[137].end 4902.146
transcript.whisperx[137].text 要多久的時間?不知道嗎?那如果從六龜到寶山你更不知道囉?應該兩三個小時要吧?那常常我們原住民地區的居住的部落的距離大概都是40分鐘以上那常常都是因為沒有公設的幼兒園或是托嬰中心那家長都一定要到外面工作那如果他勢必要在部落生活的話他就要接送小孩
transcript.whisperx[138].start 4902.766
transcript.whisperx[138].end 4919.184
transcript.whisperx[138].text 那所以這個部分又是特偏遠地區希望你們一定要考慮經費的編列讓他們能夠成立他們的公設的一個幼兒園或者是托育中心可不可以這個跟委員說明一下就是我們目前公立部分我們偏遠一定會優先設
transcript.whisperx[139].start 4920.165
transcript.whisperx[139].end 4944.213
transcript.whisperx[139].text 那至於說有些部落他確實是有一些交通因素那我們也是會輔導我看到是每個學校幾乎都有幼兒園這2到6歲很像都有附設不過0到2歲的是0現在是完全沒有0到2是我們就衛福部的分工2到6是我們教育部處理但是2到6部分我們基本上偏向我們一定會努力去做處理你有聽過教保中心嗎有目前是幾家
transcript.whisperx[140].start 4944.833
transcript.whisperx[140].end 4961.244
transcript.whisperx[140].text 目前13家我記得是在兩年前是11家現在13家也就是說它一年只增加了一家那全國原住民有多少個鄉鎮有沒有想過要怎麼把它迅速的給它補足呢應該是跟委員說明就是說不是說它不是普適的概念而是說
transcript.whisperx[141].start 4961.684
transcript.whisperx[141].end 4982.459
transcript.whisperx[141].text 我們部落教保中心是針對說如果他那個地方他沒有公幼那或者是說他部落因為有交通或是他文化語言的需求他去設置所以我們目前有找兩個團體在輔導去設立部落中心那就會增加當地的需求目前是有找一個互助教保協會那還有找台中大學在協助做一個輔導設立的動作
transcript.whisperx[142].start 4985.063
transcript.whisperx[142].end 5000.036
transcript.whisperx[142].text 那我知道比較成功的是屏東縣的平和部落那你如果說他非常成功的話你能不能請他們當作一個新興的一個所謂的教材或者說當個衛星老師去各個地區來做一個宣導
transcript.whisperx[143].start 5006.225
transcript.whisperx[143].end 5016.479
transcript.whisperx[143].text 每年定期進行偏鄉及原住民部落的教保需求調查第二、落實幼教法第10條回應偏鄉及部落教保需求調查
transcript.whisperx[144].start 5016.98
transcript.whisperx[144].end 5033.637
transcript.whisperx[144].text 服務需求、增設部落互助式教保服務中心滿足偏鄉級部落2到6歲幼兒的教保服務需求。」第三個就是正式部落0到2歲公共托育家園的意願,因為0到2歲就是沒有這樣的資源,可以嗎?
transcript.whisperx[145].start 5036.301
transcript.whisperx[145].end 5050.779
transcript.whisperx[145].text 跟委員報告剛委員秀的那兩個部落其實我們現在本來就是希望在原來的2到6歲這個部分怎麼再去增加0到2歲的照顧就是我們知道在部落偏鄉
transcript.whisperx[146].start 5051.74
transcript.whisperx[146].end 5079.189
transcript.whisperx[146].text 實際上小孩沒有那麼多所以其實可以零到六做整合所以剛剛那兩個地方我們現在是先來做一個示範那如果可以的話就是未來教育部的大概什麼時候呢我可以給他們好消息嗎已經在討論在啟動已經有在啟動了在啟動對對那我們就希望從這兩個示範之後未來在偏鄉在原住民的地區我們可以零到6歲一起那我回去後就會問他們因為我住在那個社區喔是是是好謝謝
transcript.whisperx[147].start 5083.648
transcript.whisperx[147].end 5087.271
transcript.whisperx[147].text 好,謝謝。謝謝魯仙怡委員。接下來我們請廖偉祥委員進行質詢。主校,有請我們部長,許部長。好,請許部長。
transcript.whisperx[148].start 5109.13
transcript.whisperx[148].end 5131.333
transcript.whisperx[148].text 廖委員好部長你好許部長關於五一勞動節應該全國一致放假的這個議題從陳院長在開議後透過質詢回答說行政院會回去研議我想請教勞動部掌握的情形因為要考量到如果放假不一致對於家庭成員的生活安排尤其是育兒的部分
transcript.whisperx[149].start 5132.452
transcript.whisperx[149].end 5158.817
transcript.whisperx[149].text 譬如幼兒園老師放假但是家長沒放假那小孩要由誰來顧等問題還有五一勞工想要問說五一勞動節我們這個全國放假中央的態度是什麼報告委員這個部分行政院這裡已經邀請相關部會在做討論那看起來應該我記得院長好像態度是朝肯定的方向在做研議
transcript.whisperx[150].start 5160.273
transcript.whisperx[150].end 5189.463
transcript.whisperx[150].text 所以你們肯定會往這個方向去那想要請問具體研議的結果的時程有嗎有沒有預計什麼時候希望完成因為這個是內政部主管所以你不太知道他們的那個對我這個部分比較不清楚我主要是勞動勞動部是勞工勞工現在已經放假OK當然我們也樂觀其成大家能夠一致放假所以你也是保持希望一致放假的態度
transcript.whisperx[151].start 5190.506
transcript.whisperx[151].end 5208.715
transcript.whisperx[151].text 好,那部長昨天因為我也有質詢陳建仁院長有關我們電價調漲的一事但是看到我們執政黨已經鐵了心那四月份一定會大幅調漲我們的電價尤其是針對工業用電也想要請教部長電價大幅調高你會不會覺得瑟瑟發抖
transcript.whisperx[152].start 5211.266
transcript.whisperx[152].end 5239.187
transcript.whisperx[152].text 報告委員因為現在缺工蠻嚴重的所以我覺得這個電價的上漲應該跟失業率的關聯應該不會那麼直接但我們會關注啦好因為我問這個問題就是希望因為我本席是非常憂心電價大幅調漲之後對我們勞動市場的影響也就是你剛剛說的會不會增加失業率那您覺得是不會增加的意思目前因為目前是缺工很嚴重缺工很嚴重所以看起來我
transcript.whisperx[153].start 5240.508
transcript.whisperx[153].end 5266.287
transcript.whisperx[153].text 目前我覺得初步應該不會啦但是我們會關注啦我們會關注這個事情初步應該不會那您有這個過去有做這個研究嗎因為像我們2018年的時候電價有漲3%2022年7月漲了8.4%到了這個今年預計可能上漲超過11%因為工業用電可能會更可能會成長超過15%以上工業特大戶則可能成長兩成
transcript.whisperx[154].start 5267.788
transcript.whisperx[154].end 5289.472
transcript.whisperx[154].text 那因為我想要了解的是說你們過去有沒有對於電價漲幅對失業率的影響有沒有做過專業的評估因為我要強調的是我國的產業特性尤其是低轉價能力跟高耗能產業這兩種產業可能是首當其衝那您覺得您知道高耗能以及低轉價能力通常會是哪些產業嗎
transcript.whisperx[155].start 5296.299
transcript.whisperx[155].end 5324.338
transcript.whisperx[155].text 同時符合這兩種產業是部分這個低毛利的電子業跟中小企業跟傳產等等所以我剛其實想要提醒部長的是因為過去也有漲過電價那不曉得說勞動部有沒有針對這件事情去做研究和評估因為我想現在是所有的中小企業還有家庭都很擔心漲電價這件事那當然漲電價跟經濟部啊等等的部會有關可是對於勞動部來講我們也是希望說您可不可以儘速評估
transcript.whisperx[156].start 5325.859
transcript.whisperx[156].end 5345.636
transcript.whisperx[156].text 對於產業的衝擊以及有沒有一些啟動的保護措施?」是,包委我們這個議題我們會一定會關注啦那如果在事業部分我們當然有一些事業的協助措施倒是我跟委包我現在是比較在考慮是說這個電價調整那今年的基本工資的
transcript.whisperx[157].start 5347.137
transcript.whisperx[157].end 5375.476
transcript.whisperx[157].text 調整可能這個就是要列入我們一個參酌的一個因素因為這個就會影響到整個勞工的實質薪資是不是能夠呼應到這個整個相關的消費的影響對所以針對這題我也是本席也想要進一步問就是說針對這件事情那你們對於今年基本公司調漲有沒有一個方向譬如說你是覺得
transcript.whisperx[158].start 5377.062
transcript.whisperx[158].end 5394.415
transcript.whisperx[158].text 就要研議部長嗎?還是要怎麼樣?現在因為我們最低工資法通過了我們會有一個研究小組我們研究小組的成員也出來了他會先針對一到三月的一些相關的數據做一些
transcript.whisperx[159].start 5395.296
transcript.whisperx[159].end 5417.49
transcript.whisperx[159].text 演繹之後會4月會提前提一個初步的報告那像這個電價齁他其實就是屬於CPI會跟CPI相連動所以這個部分到時候我們CPI數據也會考慮到電價調整的影響但是最後要怎麼做調整那要到第三季第三季
transcript.whisperx[160].start 5418.27
transcript.whisperx[160].end 5442.37
transcript.whisperx[160].text 才會去做整體的一個考量然後勞資政學大家合以一起討論來決定是所以我覺得漲電價這件事情姿勢體大因為它甚至也會影響到不管是失業率或是你勞工調漲這個薪資基本薪資的部分所以邀請部長特別的去追蹤不要導致這個勞工權益的受損或者是導致失業率的問題所以希望回去好好研議一下
transcript.whisperx[161].start 5443.01
transcript.whisperx[161].end 5455.239
transcript.whisperx[161].text 那再來部長依據我們勞基法第50條女性勞工應享有56天的產假那性別平等法也有類似的規定但實際上產假結束後女性勞工需要依靠傷病假續休
transcript.whisperx[162].start 5456.803
transcript.whisperx[162].end 5486.263
transcript.whisperx[162].text 因為只有女性才能生小孩但把這個8週的產假用完後就只剩下以傷病假的名義來讓自己能夠安胎休養傷病假本來就是勞工依法來讓自己能夠安胎休養的這個權益但是我們發現因為不分男女都可以請這個傷病假但是卻只有婦女勞工會因為生產在額外扣到自己屬於自己的傷病假那請教部長您覺得這樣平等嗎這樣有做到這個婦女的工作權的保障嗎
transcript.whisperx[163].start 5486.852
transcript.whisperx[163].end 5489.614
transcript.whisperx[163].text 對部長因為我國的產價規定遠低於國際勞工組織建議的14週所以請教部長當前政府對於更新產價政策
transcript.whisperx[164].start 5517.072
transcript.whisperx[164].end 5544.895
transcript.whisperx[164].text 有何態度?」什麼時候會往我們的國際標準去...報告委員,其實我們的產價會比較...我們台灣是比較廣義啦吼,就含...就是懷孕期間的一些價啦吼,一些措施其實如果整個這樣是跟國際不會差太多但是...呃...我知道這一題很多委員都非常關注吼,那我覺得也...呃...應該對女性勞動者吼,有更友善的這些...呃...思考或作為吼,我們會來研議
transcript.whisperx[165].start 5546.769
transcript.whisperx[165].end 5572.607
transcript.whisperx[165].text 好,那請你們可以儘速演繹我們希望我們可以盡量的達到我們國際的標準那再來就是這一次的新法雖然將性別平等人才庫入法但想要請問部長這些優質的人才要去哪裡找我們現在有那個有一個人才庫對,你們是從哪裡就是你們這樣優質的人才要去往哪裡找
transcript.whisperx[166].start 5575.694
transcript.whisperx[166].end 5593.14
transcript.whisperx[166].text 因為其實我也看了一下這個例行基金會的建議我們人才庫應該要設立更具體的規範與門檻定期的檢視我們專業人才資格而且並定定淘汰不適任者的機制才能夠完備與落實人才庫的目的請教部長這能夠做到嗎
transcript.whisperx[167].start 5596.573
transcript.whisperx[167].end 5606.56
transcript.whisperx[167].text 其實跟委員報告我們其實我們有訂定針對這些專業人才我們訂定一個因為你們現在只有16到24小時的這個這個授課的時間
transcript.whisperx[168].start 5610.539
transcript.whisperx[168].end 5635.116
transcript.whisperx[168].text 其實我們這個課程都跟團體討論過那因為其實也因為要上路時程其實蠻短的我們先已經就是跟團體討論對我了解是謝謝部長我講這一點只是希望提醒你們要回去追蹤一下要設立一個比較具體的門檻和追蹤的這個機制不然也有可能會造成更多的問題出現了解了解我們會滾動檢討讓這個更精進
transcript.whisperx[169].start 5639.139
transcript.whisperx[169].end 5658.314
transcript.whisperx[169].text 那我也是最後我趕快再提一個我是希望可以提倡我們的彈性上班、獎勵友善企業其實我剛剛也看到有委員也有這個提議所以我也是希望說這個部分是請部長回去盡快的跟專家學者研議之後看是不是可以在一個月或兩個月內提出報告給本席好謝謝
transcript.whisperx[170].start 5665.421
transcript.whisperx[170].end 5685.779
transcript.whisperx[170].text 那個等一下蘇星泉委員質詢結束休息5分鐘現在請王月明委員進行發言我們請蘇星泉委員代主席謝謝好我們是不是請部長部長請
transcript.whisperx[171].start 5693.379
transcript.whisperx[171].end 5717.313
transcript.whisperx[171].text 部長好,部長我想最近因為發生移工的子女生病不敢看醫生然後這樣的一個重大惡虐案件大家從這個個案其實更關心的是到底還有多少這種移工子女目前在臺灣沒有辦法獲得一個好的安置跟照顧那如果我們從監察院的一個報告來看的話
transcript.whisperx[172].start 5719.094
transcript.whisperx[172].end 5743.583
transcript.whisperx[172].text 那之前其實有糾正勞動部就是你們在作為上面其實應該要更積極那我們也看到事實上以臺灣引進這麼大量的一個移工那這個他們這種懷孕生子的情況坦白講是蠻普遍的就是在你們這個整個的每一年懷孕的產檢的人數都幾乎超過5000人對不對
transcript.whisperx[173].start 5748.644
transcript.whisperx[173].end 5774.204
transcript.whisperx[173].text 本席拿到的數據大概都超過五千人那領取生育給付離境的這個大概是六成到七成之間也就是說有一些移工他懷孕產子之後他其實也沒有離境他就繼續留在臺灣而留在臺灣只有兩種可能一種是我們的政府對他的孩子很好他可以邊工作然後邊照顧他的孩子一段時間
transcript.whisperx[174].start 5775.168
transcript.whisperx[174].end 5795.221
transcript.whisperx[174].text 另外一種他可能就會被迫就是說因為他有小孩他們不容易轉換雇主所以就變成是逃逸的這個移工然後帶著孩子躲躲藏藏而剛剛我聽到你在回復委員的時候你說事實上這個黑戶有高達一萬八千戶二十年來嗎
transcript.whisperx[175].start 5797.898
transcript.whisperx[175].end 5820.805
transcript.whisperx[175].text 就是有18000戶,那近幾年這個本席看到的數據109年1月到112年9月是1349人嗎?那我關心的是黑戶寶寶,就是這是浮上檯面的喔,那可能還有潛在的,我們不知道的,那到底被監察院糾正完之後我們的積極作為是什麼?
transcript.whisperx[176].start 5821.545
transcript.whisperx[176].end 5850.508
transcript.whisperx[176].text 然後你們自己有沒有去看到底我們真的改善了多少如果說這個上個禮拜還出現這種托育工他自己不敢出面然後還要有人然後再送到關愛之家再由關愛之家再送到醫院那你就從一個個案就可以看到說他們的處境有多麼的艱難就是作為爸爸或媽媽孩子生病不敢親自帶著他上醫院
transcript.whisperx[177].start 5851.789
transcript.whisperx[177].end 5873.4
transcript.whisperx[177].text 那這樣的情況我們要怎麼解決呢?我們要怎麼保障呢?我覺得這個不會只是引力啊。對,跟委員報告齁,因為黑戶寶寶的問題就是我剛才回答就是說其實是要跨部會來處理啦齁。那你現在覺得哪個部會沒有到位?因為像剛剛委員講的啊。主責,你們現在我問一個,主責單位是誰?應該是市民吧?衛福部。現在黑戶寶寶是衛福部啊?是,是衛福部。好,那理事長上來講?
transcript.whisperx[178].start 5880.373
transcript.whisperx[178].end 5902.821
transcript.whisperx[178].text 你們引進的勞工,然後變成是衛福部要來收攤子。」來,次長你說。對不起,我們是針對黑戶寶寶有一個課部會的一個還有限制一個聯繫平台,那最重要是針對他是沒有人照顧,然後有被通報出來還是團體協助,那這個部分我們
transcript.whisperx[179].start 5904.296
transcript.whisperx[179].end 5908.419
transcript.whisperx[179].text 為社政提供相關協助。」所以你們主責?那你們有沒有主動去掌握現在到底還有多少的這些黑戶寶寶?那你要怎麼去找到他們?你要透過什麼樣的機制讓他們真的可以跟政府接上線?或是透過什麼間接的方式?比如說你現在跟關愛之家合作,那合作的量有多大?
transcript.whisperx[180].start 5929.053
transcript.whisperx[180].end 5955.585
transcript.whisperx[180].text 我們現在服務的只有幾分之幾,你們有掌握嗎?那針對現在服務還不到位的到底更積極的一個處遇方式是什麼?比如說之前我們在防疫期間防疫期間就有一個類似特色的條款就是說你雖然是逃逸的移工你來打疫苗我都不會查你的身分你就放心來打吧那現在我看到的是移工如果有小孩那個壓力真的是倍增
transcript.whisperx[181].start 5956.465
transcript.whisperx[181].end 5975.713
transcript.whisperx[181].text 那他怎麼樣就是真的有勇氣或者是你們透過怎麼樣的溝通讓他真的放心說我不會去追究你先把孩子顧好孩子只要生病送到醫院媽媽你可以帶來沒有關係你的身份不會被暴露我也不會去追究你我不會請移民署來抓你
transcript.whisperx[182].start 5976.733
transcript.whisperx[182].end 6000.938
transcript.whisperx[182].text 這一個你們有做嗎?有做得很細膩嗎?如果說之前還有都必須一直透過關愛之家這樣做的話我覺得在移工的心裡他們就是有一種很大的不安全感怕被發現、怕被遣返那你們怎麼處理?我想說我們確實因為有多少個黑戶寶寶這個部分我們社政往往都是在
transcript.whisperx[183].start 6001.838
transcript.whisperx[183].end 6004.52
transcript.whisperx[183].text 行政院及職場性別平等及性平三法上路如何落實職場性別平等及職業道德之培訓策進
transcript.whisperx[184].start 6010.066
transcript.whisperx[184].end 6033.54
transcript.whisperx[184].text 可能還包括移民署包括勞動部如果有掌握的話那怎麼樣子我們現在在行政院討論確實在講就是說怎麼樣子鼓勵這些可能是黑戶寶寶讓他們可以父母親願意把他帶出來那你們討論的真的有點慢啊這個問題其實已經存在一段時間那我直接問你行政院有哪一個政委來主導這件事有兩個政委在主在負責那多久開會一次
transcript.whisperx[185].start 6037.962
transcript.whisperx[185].end 6066.051
transcript.whisperx[185].text 我們現在是看那個各個單位要做的事情的一個進度其實這件事情你們用這種臨時性的方式是解決不了問題的我剛剛講如果每年都有五千位的移工他懷孕領取我們的生育給付的話那你就要知道說這已經變成常態性的問題他也不是個案他也不是特例當我們大量引進這些移工的時候你就要正視說這個部分就是要一個專責單位
transcript.whisperx[186].start 6067.851
transcript.whisperx[186].end 6083.008
transcript.whisperx[186].text 日常性的處理,而不是像你們這樣,你們是用臨時召集的一個專案的方式來面對,這個解決不了問題。」所以我要求,是不是你們回去跟行政院報告,在這件事情怎麼樣從體制內,真的有專人,就好好來處理這一塊。
transcript.whisperx[187].start 6084.369
transcript.whisperx[187].end 6103.323
transcript.whisperx[187].text 要不然我覺得我們也對不起這些乙工我們讓他來台灣工作但是他在台灣生了小孩之後的權益我們卻是沒有辦法給他應有的保障我們講究我們是人權國家每一個孩子在我們台灣這片土地他都應該得到一個好的保護跟照顧包括乙工的小孩
transcript.whisperx[188].start 6103.996
transcript.whisperx[188].end 6128.494
transcript.whisperx[188].text 所以這個部分我要求改善好了那個市長請回接下來我要問的是有關於社福移工跟產業移工他們的這個福利待遇是不一樣產業移工他現在生育給付是沒有問題的但是社福移工如果他懷孕的話就本席所知現在他是沒有辦法申請生育給付的部長同樣都是移工
transcript.whisperx[189].start 6129.395
transcript.whisperx[189].end 6133.238
transcript.whisperx[189].text 那社福移工完全懷孕就沒有生育給付?
transcript.whisperx[190].start 6159.475
transcript.whisperx[190].end 6177.112
transcript.whisperx[190].text 是沒有看到這個現象,沒有想要去解決嗎?因為我們現在多的是家庭看護的這一些移工啊。我要求齁,因為我時間有限啦,部長,你這個部分你必須回去研議。你自己勞動部坦白講也很有錢啦,你們基金很多啦。
transcript.whisperx[191].start 6177.492
transcript.whisperx[191].end 6199.353
transcript.whisperx[191].text 在各項基金裡面應該拿出一筆就針對這個部分就補貼了他的生育給付而不是說你今天就是到家庭那就是你自己運氣比較好我們沒有辦法到了這個企業的這個產業移工沒有關係進了機構也可以幫忙那你就是漏掉一塊嘛這個部分要處理要解決部長可以嗎
transcript.whisperx[192].start 6201.692
transcript.whisperx[192].end 6224.377
transcript.whisperx[192].text 你回去演繹我們來演繹看看好那最後就是那個有關於勞工育兒我們現在看到的就是公務人員跟勞工還是差很大在有薪的家庭照顧假這個公務人員可以併這個有薪的試駕完全沒有問題他們還有幼兒照顧假每年7天就是6歲以下的
transcript.whisperx[193].start 6225.157
transcript.whisperx[193].end 6239.708
transcript.whisperx[193].text 他都可以但是現在在勞工是無薪的家庭照顧假也沒有幼兒照顧假部長你作為勞工的大家長你要怎麼樣來縮短這樣的一個差距有在研議嗎因為主要是那個
transcript.whisperx[194].start 6244.535
transcript.whisperx[194].end 6258.623
transcript.whisperx[194].text 錢的問題那我們現在少子化可不可以跟企業溝通或是在我們的這個立法院裡面大家討論出共識我們現在少子化那至少從家裡面有6歲以下的幼兒先執行嗎?不行嗎?
transcript.whisperx[195].start 6260.61
transcript.whisperx[195].end 6286.204
transcript.whisperx[195].text 因為之前大家談到的是所有勞工所有的對象所以那個經費很高我在之前擔任立法委員的時候就有分析過如果你把它切到是六歲以下的孩子的話你經費可以就是大概三分之一雇主的負擔其實沒那麼重我們就逐步來實施嘛從可以做的開始做這一點我請部長你回去再研議這個也是回應我們少子化的問題好不好另外一個
transcript.whisperx[196].start 6286.864
transcript.whisperx[196].end 6302.428
transcript.whisperx[196].text 另外一個是在企業的部分這個本席在過去擔任立委的時候也是下修就是說我們的企業一百人以上的要設置托兒的措施或者是設施但是幾年下來了我們現在看到施行的狀況不理想
transcript.whisperx[197].start 6304.429
transcript.whisperx[197].end 6333.649
transcript.whisperx[197].text 真正有設置的就是到1%、1.2%那這個真的是比例太少那多數大概就是少數的津貼就這樣交差了事了臺灣我們其實還有很多這個營運很好的企業坦白講他們是有能力的也應該做或者是包括我們的政府機關這麼龐大政府機關也應該做勞動部自己本身有設有有齁好那你們做了很好的示範
transcript.whisperx[198].start 6334.529
transcript.whisperx[198].end 6344.958
transcript.whisperx[198].text 那這個部分我覺得推動也是太弱了我們一直講掃紙化我們一直希望說建構一個更友善的托育環境但是在企業這一塊在機關這一塊這個營運能力很強的這一些比較大的企業或者是機關
transcript.whisperx[199].start 6350.462
transcript.whisperx[199].end 6376.277
transcript.whisperx[199].text 其實是速度非常緩慢。」那這一塊呢我希望這個部長你要放在心裡就是照顧孩子的工作不是只有衛福部的工作勞動部可以發揮非常大的能量因為多數的勞工跟企業其實聽你們的不聽衛福部的啦所以你們應該要握有行政權就好好善用那行政權好不好就是一起來建構一個更友善的環境謝謝
transcript.whisperx[200].start 6378.479
transcript.whisperx[200].end 6379.9
transcript.whisperx[200].text 好,謝謝王委員,謝謝部長。接下來我們請圖全級委員進行咨詢。
transcript.whisperx[201].start 6408.507
transcript.whisperx[201].end 6411.828
transcript.whisperx[201].text 好,請我們勞動部部長。好,許部長,請問一下,你們報告中,勞動部針對我們完善職場的育兒環境,很多的重點都放在我們的受僱者、勞工還有僱主身上,那當然這些措施跟法律上我們看起來是沒有什麼問題,
transcript.whisperx[202].start 6433.556
transcript.whisperx[202].end 6459.637
transcript.whisperx[202].text 可是我們對於支持家庭育兒、我們托育人員的培訓還有相關精進的這些部分我們看提到的部分很少那請問一下我們上面有提到我們托育人員技術事證我們勞動部有發出的19.3萬張對不對?是那你有了解過這麼多人中他事實上有去職業的有多少?職業的喔這個部分
transcript.whisperx[203].start 6462.785
transcript.whisperx[203].end 6468.615
transcript.whisperx[203].text 就是領到這麼多技術市政然後真正有從事這個工作的人有多少?我請署長說
transcript.whisperx[204].start 6470.474
transcript.whisperx[204].end 6496.028
transcript.whisperx[204].text 跟委員報告,我們技術試證因為就能力鑑定,那取得這個托育人員的證照之後我們目前就是如果他有意願從業的話,我們會把相關資料提供給衛福部,就是說相關的後續我的重點在於說,我們有授訓拿到這個技術試證可是19.3萬張,據我們調查資料了解,真正有下去從事的
transcript.whisperx[205].start 6497.089
transcript.whisperx[205].end 6522.788
transcript.whisperx[205].text 職業的就是有去做這個工作的大概只有2.7萬也就是總共只佔了14%所以本來人就不多可是真正下去做的人又更少只達十幾%所以我們針對這一部分我們也了解到我們2.7萬就是有下去從事這個行業的保姆2.7萬中我們調查我們看一下我們
transcript.whisperx[206].start 6523.548
transcript.whisperx[206].end 6547.582
transcript.whisperx[206].text 領域及社會福利部長、教育部長及教育部長及教育部長及教育部長及教育部長及教育部長及教育部長及教育部長及教育部長及教育部長及教育部長及教育部長及教育部長及教育部長及教育部長及教育部長及教育部長及教育部長及教育部長及教育部長及教育部長及教育部長及教育部長及教育部長及教育部長及教育部長及教育部長及教育部長及教育部長及教育部長及教育部長及教育部長及教育部長及教育部長及教育部長及教�
transcript.whisperx[207].start 6553.049
transcript.whisperx[207].end 6555.438
transcript.whisperx[207].text 育有三歲以下的女性的參與
transcript.whisperx[208].start 6557.611
transcript.whisperx[208].end 6586.588
transcript.whisperx[208].text 就是有參與我們事業的勞參率有高達7成也就是調查過我們在113年底我們可能要再增加4千位的托育人員所以我覺得這是非常嚴重的警訊總共只有2.7萬人2.7萬人馬上陸陸續續有1萬6千人在這5年10年都會退休而且今年年底還要再增加4千人請問一下針對這托育人員
transcript.whisperx[209].start 6588.149
transcript.whisperx[209].end 6610.582
transcript.whisperx[209].text 這個虛材恐急,我們勞動部也沒有什麼比較精進的作為。這個可能會涉及到跨部會,包括教育部它有關於托育的系所的學生的招生。不是,我們現在沒有針對這個部分。當然,就是剛剛您講的這個
transcript.whisperx[210].start 6615.725
transcript.whisperx[210].end 6638.952
transcript.whisperx[210].text 職業人數不多因為很多來報考的人他其實可能也是自己考自己照顧自己的所以我說部長你們這個部分因為我說看你們的報告真的看不到針對這托育人員這人才有嚴重不足你發出19.3萬張真正在做從事的只有2.7萬這2.7萬裡面超過50歲的有1萬6千人
transcript.whisperx[211].start 6645.074
transcript.whisperx[211].end 6659.708
transcript.whisperx[211].text 那等於說陸陸續續就有一萬六千人退休而且經過調查今年年底還要再補進四千人所以你馬上可以面臨這個托育人員是嚴重的不足可是看不到你們的報告針對這部分有做任何的檢討
transcript.whisperx[212].start 6660.649
transcript.whisperx[212].end 6673.501
transcript.whisperx[212].text 報告委因為我們其實每年的報考人數都有一萬多人就是說有退可能也有進有退也有進那其實像這個報考你看這個50歲以上其實還蠻適合的
transcript.whisperx[213].start 6675.723
transcript.whisperx[213].end 6702.831
transcript.whisperx[213].text 他的自己的穩定﹖所以部長我是希望我希望這個未雨綢繆現在已經馬上可以預期這是嚴重不足現在就不足馬上要退那麼多人年底算起來又要再增加那麼多人根本看不到你們有任何的措施而且最近發生這個額虐的事件這對保姆我相信再叫他們從業我覺得對他們的事蹟也是很大的影響
transcript.whisperx[214].start 6703.211
transcript.whisperx[214].end 6705.493
transcript.whisperx[214].text 委員這沒有問題,只要有需求,我們每年其實培訓兩千多人
transcript.whisperx[215].start 6727.367
transcript.whisperx[215].end 6743.354
transcript.whisperx[215].text 我們這個培訓都沒有問題都可以配合需求我希望這個還是要加強因為這所有的數據顯示是嚴重的不足而且面臨馬上退的跟現在要增加的根本都趕不上只會這個人愈缺愈多
transcript.whisperx[216].start 6744.034
transcript.whisperx[216].end 6770.321
transcript.whisperx[216].text 那還有剛剛你大概有提到因為上次你來拜訪的時候大概有跟你談過因為我們希望針對這托育人才的供給像我們有很多的民間有反應像很多來台就讀幼保科相關科系的可是他畢業以後都沒有辦法留下來那現在針對我們這個托育人才的供給我們針對畢業橋外的留台工作是不是針對我們
transcript.whisperx[217].start 6771.941
transcript.whisperx[217].end 6792.275
transcript.whisperx[217].text 這個救福法這一般外國人從事專門性或技術性的工作我們是不是可以研議有一個什麼方法能夠讓這些人留下來來補充托育人員的不足報告委員這個只要把他納入專門技術性人員就可以了那這個部分必須衛福部一起來會商認定
transcript.whisperx[218].start 6793.075
transcript.whisperx[218].end 6810.304
transcript.whisperx[218].text 好 這個我會臨時提案那希望我們針對這部分來研議我覺得我們勞動部跟衛福部好好的來解決這方面的問題那當然我也希望還有增加我們新住民專班也希望能夠在裡面
transcript.whisperx[219].start 6812.465
transcript.whisperx[219].end 6838.697
transcript.whisperx[219].text 進行職業的培訓也能夠讓他們去取得培育人員技術性的證照新住民專班看可不可以開這個專業課程來補這個人才的不足這個好像現在有了吧?都有喔?托育人員其實我們都鼓勵不管新住民那我們有開這個班嗎?有現在有開嗎?針對新住民專班來開這個托育人員的技術性證照取得的這個職業訓練
transcript.whisperx[220].start 6841.64
transcript.whisperx[220].end 6852.311
transcript.whisperx[220].text 希望這部分我們來加強一下因為面臨人才嚴重的不足應該要未雨綢繆趕快趕快來提出一些具體的方案那還有
transcript.whisperx[221].start 6853.089
transcript.whisperx[221].end 6877.7
transcript.whisperx[221].text 我們之前我們賴清德副總統在選舉的時候他那個老宅也就是我們俗稱賴皮寮那當傳這個風風雨雨過去可是當初我們也是我們的準總統當初有說要針對這個老宅來做礦工生活紀念館那剛好現在在新北瑞芳有一個
transcript.whisperx[222].start 6878.34
transcript.whisperx[222].end 6897.578
transcript.whisperx[222].text 由民間自動發起的猴童礦工文史館。」然後馬上6月底就面臨可能租約到期經營不善的問題他們也發起了一個許我一座公立礦工博物館是不是針對這一部分我們勞動部可不可以給予一些協助
transcript.whisperx[223].start 6898.486
transcript.whisperx[223].end 6910.237
transcript.whisperx[223].text 奧委員,這次活動我去過啦相關的協助我之前也都有幫忙但這個管產權的問題我了解是新北,這件事情
transcript.whisperx[224].start 6911.96
transcript.whisperx[224].end 6928.65
transcript.whisperx[224].text 那個文化部在協助處理就是有關於這個管的部分因為文史管是屬於全職機關在文化部我知道文化部有在幫忙所以部長針對這部分你有去了解嗎有有有我也希望說我們勞動部針對這部分
transcript.whisperx[225].start 6930.171
transcript.whisperx[225].end 6930.651
transcript.whisperx[225].text 是否能給予協助?
transcript.whisperx[226].start 6950.279
transcript.whisperx[226].end 6969.19
transcript.whisperx[226].text 好,所以我這邊也建議昭緯,如果有機會我們這個考察行程的時候可以去這個我們猴童礦工的師館對,這個我去了兩三次了,蠻值得看的那到時候部長順便再幫我們說明一下因為我覺得這個居然他有提出這方面的需求其實可以跨部邀文化部一起來啊對,那由勞動部來主導嘛,然後邀請相關部會來把這個倡議支持的行動
transcript.whisperx[227].start 6977.215
transcript.whisperx[227].end 6999.25
transcript.whisperx[227].text 因為照顧支持礦工我相信也是屬於我們勞動部的業務那也希望讓我們這個礦工會讓他們感受到我們勞動部及我們這些周邊大家都有相當的人在關心他們、支持他們我們環境教育也有部裡面環境教育也特別安排去這裡那這部分希望勞動部再來幫忙推動一下好 謝謝
transcript.whisperx[228].start 7005.525
transcript.whisperx[228].end 7006.646
transcript.whisperx[228].text 蘇清泉議員蘇清泉議員
transcript.whisperx[229].start 7028.171
transcript.whisperx[229].end 7047.841
transcript.whisperx[229].text 我看你勞動部跟衛福部有一些都牽扯不清你接業務他們要負責他們接業務你要負責我們現在少子化越來越嚴重去年死亡的19萬多人生小孩生13萬而且這個缺口我看要不好補你勞動部拚到要死
transcript.whisperx[230].start 7056.022
transcript.whisperx[230].end 7069.895
transcript.whisperx[230].text 現在的年輕人你叫他做阿嬤、小孩子兩個人都要上班,兩個都要上班啊結果這個小孩子要請保姆看到最近這樣亂搞一通,怕就死啊你不想生,要怎麼辦?衛生部要怎麼辦?謝謝委員,其實我們
transcript.whisperx[231].start 7077.67
transcript.whisperx[231].end 7105.138
transcript.whisperx[231].text 您的檢討也看到說這個事件對民眾、對專業人員的信任有產生一些衝擊那我們當然就希望把我們提出來的這些精進的作為就是從中央到地方好好的落實來重拾民眾對這些專業人員的信心啊對您的帽子是不是編織得很好?像我們東港的鯰魚的帽子這樣帽子很漂亮但是每一顆都破了
transcript.whisperx[232].start 7106.492
transcript.whisperx[232].end 7131.583
transcript.whisperx[232].text 老妾妾每一個都露街保母大部分都很好但是這樣你看雙胚、花生、連恆春都有我跟你報告這幾天有家庭兒童學的專家還有兒童心理學的專家他們講得非常好我等一下會講給你聽
transcript.whisperx[233].start 7135.123
transcript.whisperx[233].end 7159.088
transcript.whisperx[233].text 這個凱凱的事件我們在醫學上叫做RCA就是尋根之旅我很用心的去看這個小孩子凱凱被送到萬芳醫院的時候這萬芳醫院自己要警醒齁那個陳姓的社工跟劉姓的保姆那劉姓保姆姊妹都是換名換姓改名改姓喔阿你知不知道
transcript.whisperx[234].start 7160.742
transcript.whisperx[234].end 7175.271
transcript.whisperx[234].text 我們知道他有改名,可是不管他有沒有改名,其實我們的系統是用身分證,所以其實交集資格不管有沒有改名都是可以查得到的。那那個小孩子送到急診室的時候,已經撬起來了。
transcript.whisperx[235].start 7177.432
transcript.whisperx[235].end 7198.623
transcript.whisperx[235].text 然後這個社工跟保姆跟醫師講說這個小孩子是他外祖母在照顧那送到保姆這邊的時候是義奶一年了要做治療所以送來幾件事社工聯手保姆騙醫師
transcript.whisperx[236].start 7202.148
transcript.whisperx[236].end 7222.269
transcript.whisperx[236].text 那說他現在聯絡不到外祖母所以由他們兩個來處理希望能夠行政項驗不要解剖已經向這個凱凱的外祖母報告過請問這個社工他知道這件事嗎?他知道實情嗎?
transcript.whisperx[237].start 7225.895
transcript.whisperx[237].end 7248.816
transcript.whisperx[237].text 市長你也不知道其實這個案子是醫院有通報所以醫院也有看到相關的他是通報額內嗎是是是通報額內剛剛我們委員在講彭婉如基金會我非常的欽佩彭婉如女士彭婉如女士的先生是誰你知道嗎台大教授
transcript.whisperx[238].start 7252.571
transcript.whisperx[238].end 7281.961
transcript.whisperx[238].text 他就說我們的政務委員、政務委員零萬億不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是不是
transcript.whisperx[239].start 7283.055
transcript.whisperx[239].end 7291.851
transcript.whisperx[239].text 所以這個怎麼處理?報告委員,其實我們的公部門在社安網的聘用社工的薪資
transcript.whisperx[240].start 7293.672
transcript.whisperx[240].end 7321.611
transcript.whisperx[240].text 跟我們的公務人員其實沒有太大的一個差距那在私部門就是中央補助給民間團體的社工我們在今年其實也幫社工加薪提高了8.16%所以現在的初任的社工大學一畢業他的薪資是到三萬七千多那未來我們這個調薪的制度已經也制度化了這只要未來公務人員調漲我們補助給民間的社工也會一併調漲
transcript.whisperx[241].start 7322.912
transcript.whisperx[241].end 7349.953
transcript.whisperx[241].text 那也是這幾年來其實衛福部也一直在積極地來改善我們的勞動條件我前天那個跟薛部長諮詢我是說這小孩子要照顧原生家庭最好是這個愷愷阿嬤照顧好小孩但是就沒錢經濟情況啊經濟不好你就幫他保經濟就好了你不是要搞什麼聯盟啊NGO啦我看這些聯盟NGO很多都是在磨柴的
transcript.whisperx[242].start 7351.84
transcript.whisperx[242].end 7377.312
transcript.whisperx[242].text 然後這些這麼糟糕的保姆是在害命又一個磨柴一個害命艾爾利集團的總裁說這個是人神共憤說他不要管錢啦管一千多萬給兒童聯盟捏那我們董事長也沒事啦那是有夠不要臉啦都文翁不動這像話嘛你們都完全沒有督促沒有什麼機制嗎?市長
transcript.whisperx[243].start 7381.808
transcript.whisperx[243].end 7388.353
transcript.whisperx[243].text 對於那個基金會的話因為他是跟教育部立案的文教基金會
transcript.whisperx[244].start 7389.181
transcript.whisperx[244].end 7416.586
transcript.whisperx[244].text 所以在整個董事會的監督還有他們的財務狀況就是要麻煩教育部看能不能去去做什麼樣一個督導那在人員業務這個部分是我們衛福部的責任我們會我們也會都持續的來做相關的出洋有獎金可以拿然後要找要找個借的兩萬五的他就他就給他我看他沒有在在在在做什麼後續的審核
transcript.whisperx[245].start 7418.345
transcript.whisperx[245].end 7438.349
transcript.whisperx[245].text 然後轉來轉去好像又有KPI是不是又有獎金可以拿是不是怎麼這樣搞的呢沒有沒有他們是在整個收養過程的部分的時候分階段跟收養家庭有收費對所以這個是很糟糕的事情另外一個我比較concern的就是
transcript.whisperx[246].start 7439.896
transcript.whisperx[246].end 7453.992
transcript.whisperx[246].text 兩國兒童公約說小孩子成長不要跟父母親分開那這些女的受刑人我去高雄女子監獄去那裡特見那全世界在
transcript.whisperx[247].start 7455.188
transcript.whisperx[247].end 7481.291
transcript.whisperx[247].text 就帶著小孩進去服刑帶著小孩去監獄服刑的做得很好的根據兒童公約是瑞典丹麥俄羅斯也做得很好普丁不錯美國有8個州做得很好那我要跟大家報告的是我要跟你報告的是你這個孩子你讓他等到外面
transcript.whisperx[248].start 7484.144
transcript.whisperx[248].end 7486.946
transcript.whisperx[248].text 二、邀請勞動部、教育部、教育部及職業道德之培訓策進
transcript.whisperx[249].start 7504.551
transcript.whisperx[249].end 7510.979
transcript.whisperx[249].text 二、邀請衛生福利部、教育部、教育部及職業道德之培訓策進二、邀請衛生福利部、教育部及職業道德之培訓策進
transcript.whisperx[250].start 7523.675
transcript.whisperx[250].end 7528.92
transcript.whisperx[250].text 用婚給娶啊,娶的生殖器官,把她燒到額頭,把她講到骨折,打到腦出血,搖晃什麼什麼都來,這真的是慘絕人寰,這真的是惡魔,魔鬼。跟委員報告目前的矯正署在女子監獄,
transcript.whisperx[251].start 7542.253
transcript.whisperx[251].end 7542.573
transcript.whisperx[251].text 行政委員會委員會委員會委員會委員會
transcript.whisperx[252].start 7562.902
transcript.whisperx[252].end 7573.748
transcript.whisperx[252].text 而拒絕的。我跟大家報告在離子監獄裡面的受刑人85%以上都是跟毒品有關是是在男的監獄裡面我常常去坐監車我很穿車的
transcript.whisperx[253].start 7576.519
transcript.whisperx[253].end 7582.304
transcript.whisperx[253].text 在男的監獄裡面要嘛就是會選的啦要嘛跟毒品有關的差不多七成而女的是85以上升到90所以這些都是違罪嘛所以小孩子今天跟媽媽一起長大但是我們台灣的資源那麼豐富我們是整個都破碎化你關一個、我關一個、你關一個
transcript.whisperx[254].start 7599.489
transcript.whisperx[254].end 7625.541
transcript.whisperx[254].text 這是很糟糕的事情能不能用一個時間內把這個事情統合起來我覺得沒有能力就去國外看一看去北歐看看去美國州看看去俄羅斯看也不錯啊去看看人家怎麼做我想臺灣可以做得非常好好不好我們會跟蔣正署再來一件重要的多久多久會有一個初步檔案給我
transcript.whisperx[255].start 7627.122
transcript.whisperx[255].end 7642.131
transcript.whisperx[255].text 這個法務部不在現場那報告委員他們有在做然後他們甚至已經到兩歲若小孩子願意去幼兒園其實也可以去幼兒園現在閒置的國小每一間就撤掉那個都可以用嘛
transcript.whisperx[256].start 7643.585
transcript.whisperx[256].end 7644.185
transcript.whisperx[256].text 這兩天都碰到好多個了
transcript.whisperx[257].start 7673.015
transcript.whisperx[257].end 7696.463
transcript.whisperx[257].text 那次長請問,我要問部長最後一個問題這個是澄清案啦齁,剛剛有跟你們講了齁你們要招考人員招考完,然後公告證取然後叫人家辭職,然後叫人家辭職趕快報到然後又一通電話說,勞動部
transcript.whisperx[258].start 7700.816
transcript.whisperx[258].end 7705.581
transcript.whisperx[258].text 臺南市政府委託你們,你們南區代管、代訓,結果你們跟人家講說不行。職安署,你一個閉上眼睛
transcript.whisperx[259].start 7721.297
transcript.whisperx[259].end 7740.608
transcript.whisperx[259].text 報告委員,這個一開始是台南市政府弄錯,因為這個要檢察院他必須要符合資格啦,你要是不符合這個就,我們依照法令就沒有辦法來...正式公告、正式入局,什麼乙級、丙級,那個有什麼了不起,那個再考就好了
transcript.whisperx[260].start 7741.608
transcript.whisperx[260].end 7749.318
transcript.whisperx[260].text 那可以這樣子嗎?可以這樣幹嗎?部長,可以這樣嗎?公告,轉席給他們知道,然後討論都實施了。什麼實施啊?這我這兩天發生的事情。好好的補救好不好?查清楚好不好?好,這種事情喔。
transcript.whisperx[261].start 7761.93
transcript.whisperx[261].end 7788.09
transcript.whisperx[261].text 發生在這個年代我是覺得匪夷所思是不是有貓膩還是他們要禁用別人還是有拿到什麼好處台南市政府這個很糟糕的用人不是我們的你反對啊資格不符資格不符你招生你客氣的時候你都沒有公告你都沒有說你這什麼主席你到底在說什麼部長不行聽不下去
transcript.whisperx[262].start 7792.079
transcript.whisperx[262].end 7793.04
transcript.whisperx[262].text 好,現在休息5分鐘
transcript.whisperx[263].start 8224.09
transcript.whisperx[263].end 8227.454
transcript.whisperx[263].text 好 我們繼續開會接下來我們請劉建國委員進行質詢好 謝謝主席先請衛部次長好 請理事長
transcript.whisperx[264].start 8246.075
transcript.whisperx[264].end 8264.951
transcript.whisperx[264].text 委員好市長好市長辛苦了我想周一的時候市長跟部長也都在委員會嘛市長應該有聽到我跟部長在檢討這個過程我一直覺得這個保護網基本上是有把這個小朋友接住不是漏掉那是怎麼會在這個安全的保護網裡面他反而被這樣的
transcript.whisperx[265].start 8267.292
transcript.whisperx[265].end 8284.138
transcript.whisperx[265].text 這麽殘忍以致於虐待死亡。」我覺得有很多的面向要討論那部長也允諾嘛事實上還有些很多的地方要有盲點甚至也提到說有專家、學者及地方的政府反對相關的修法所以那天我特別說那就可以請趙偉來排專案
transcript.whisperx[266].start 8285.95
transcript.whisperx[266].end 8315.02
transcript.whisperx[266].text 或是這個公聽會大家一起來討論這是第一件事情那第二件事情有兩個部分我想也再跟次長做討論一下就是說請次長看一下這個這個是新北市社會局在2011年左右的時候就已經呼籲民眾雞婆多一點社會問題就少一點但是如果看到這一次的改革案件我們覺得又格外的諷刺為什麼這麼說因為就是有民眾聽到應有的提呼聲的時候卻沒有進行通報
transcript.whisperx[267].start 8316.893
transcript.whisperx[267].end 8344.154
transcript.whisperx[267].text 這一個是相關的報導到底是我們社會出了什麼問題因為政府是長期來宣導民眾說要吉婆一點所以也有鄰居說成人小孩子的哭聲但是為什麼這個鄰居沒有吉婆來通報為什麼台灣社會會讓我們遇到這種事情變得不吉婆那政府一直在宣導要吉婆
transcript.whisperx[268].start 8345.211
transcript.whisperx[268].end 8362.829
transcript.whisperx[268].text 這個就是很大的衝突跟矛盾再請社長開一個社論這是在某一個民眾在投稿某家的這個論壇的時候有特別提到他標題又寫著滅童案、雞婆有用嗎?這是在3月16的時候內容我大概上
transcript.whisperx[269].start 8364.591
transcript.whisperx[269].end 8390.204
transcript.whisperx[269].text 練一段,就是說他在住家附近有一八十多歲的老戶女兒常因細菇對他怒聲斥責。他有一次看到他的女兒在花園走到用拖鞋暴打他,他就立即撥打了113專線通報。那社工就回答他說已經做成紀錄,會在適當的時機加訪,還主護他有劣勢的狀況可以先報警,再由社工單位介入,效果會更好。
transcript.whisperx[270].start 8391.308
transcript.whisperx[270].end 8414.999
transcript.whisperx[270].text 聽起來好像有道理然後他又發現這個老人家後來的眼睛無清腫脹小腿有受傷包紮聊天才知道孫子也對他施暴會故意的推倒或惡意絆倒或整天攘著要他媽媽把外婆趕走這個老戶還特別叮嚀這個投訴者說別伸張以免他遭受到更惡劣的對待
transcript.whisperx[271].start 8416.533
transcript.whisperx[271].end 8437.81
transcript.whisperx[271].text 他覺得事態嚴重,便暴行處理。警察也去了,就告誡這個女兒不得再有這個類似行為但這個女兒停不了幾天就固態腹猛,甚至以變本加厲已經通報了兩次了,他覺得他已經深感無力也只能眼睜睜的看這個老戶驚恐表情與日復一日的持續狩獵我講這兩個事情是要給
transcript.whisperx[272].start 8442.977
transcript.whisperx[272].end 8463.714
transcript.whisperx[272].text 給職場做個辛苦當然我們知道相關單位可能要業務量繁多沒有辦法兼顧到每一個個案這個我們都很清楚但是像有人願意雞婆而且雞婆起事之後卻變成熱臉貼冷屁股那這個問題又出來了那我們要怎麼樣把這個微小還是說確實它已經發生了這麼嚴重的這樣的一個
transcript.whisperx[273].start 8466.758
transcript.whisperx[273].end 8484.131
transcript.whisperx[273].text 一個一個一個實際上的這個這種這種行為的時候不管通知社政不管通知警政卻得不到一個好的一個處方式我不想要說這個再不處理那下一次衛福委員會的專報那可能就是就會變成一個主題了啦
transcript.whisperx[274].start 8485.892
transcript.whisperx[274].end 8503.147
transcript.whisperx[274].text 來,請次長。好,謝謝委員,就是用這兩個案子來提醒我們。其實像我們最近保護服務室確實也發現一個現象,就是被對尊的這樣一個肆虐的情形是案件是增加的。
transcript.whisperx[275].start 8503.786
transcript.whisperx[275].end 8522.084
transcript.whisperx[275].text 所以本來就是有針對社工在對於對尊的這樣一個失戀的相關的一個敏感度跟失戀這個部分有在強化他們的職能那如果以這個案子來講的話其實這個他們應該要去評估到說如果這個老媽媽已經被失戀
transcript.whisperx[276].start 8522.847
transcript.whisperx[276].end 8551.153
transcript.whisperx[276].text 那在家庭當中是不是有在被施暴的風險其實呃這個承認的施暴也是有緊急安置緊急保護的一個措施對所以我是覺得說這個部分就是說怎麼樣子要有加一個呃敏感度之能以及我想說我們還是要來敦促社會政府就是確實我們看到有一些縣市政府他們在對安置資源的部件是比較缺乏的有可能就是因為
transcript.whisperx[277].start 8551.693
transcript.whisperx[277].end 8581.184
transcript.whisperx[277].text 安置的資源不足的情況之下所以社工沒有辦法做這樣一個緊急安置那這個部分我們會就是會再來持續我想說我們都會有一些指標啦只是說這些指標縣市能不能怎麼樣來督導他們落實的這個強度我們應該會來加強對就簡單講就是說這一個妻婆的人已經通報了社政那社政的處置是這樣通報了警政警政的處置又這樣
transcript.whisperx[278].start 8582.052
transcript.whisperx[278].end 8583.643
transcript.whisperx[278].text 所以這個事情我覺得可能要
transcript.whisperx[279].start 8584.622
transcript.whisperx[279].end 8612.423
transcript.whisperx[279].text 衛福部這邊要承擔起更大的責任督導的責任要特別加重可安置為什麼你不去做安置可怎樣做應變你為什麼不去做應變不然這樣的憾事會一件一件又發生這請次長是特別可能要全面來再做重新一個檢討那第二件事情都有相連性回到我們今天探討這個保姆的制度有律師在臉書上的潑文說送嬰托兒的感覺好像在抽盲盒看誰會先中獎然後誰運氣不好
transcript.whisperx[280].start 8614.324
transcript.whisperx[280].end 8630.051
transcript.whisperx[280].text 就會被低級的錯誤、惡意、虐待、奪去寶寶的性命。而少華已經排除了性剝削、毒品、暴力、罪行不得擔任保姆,但是這都必須在判決之後。那政府才會消極的取消這個保姆資格。
transcript.whisperx[281].start 8630.936
transcript.whisperx[281].end 8656.566
transcript.whisperx[281].text 有沒有更積極的做法?這個案件中有很多鄰居站出來說這個保姆有黑歷史我想這個也是在事後不僅凱凱的小朋友之前其他在孩童照顧不當的情況之下這個保姆對外籍義工更頻繁的更換而且還傳聞有虐待義工的情勢奇怪接訪鄰居都知道唯獨地方政府不知情
transcript.whisperx[282].start 8657.526
transcript.whisperx[282].end 8681.772
transcript.whisperx[282].text 所以民眾在找保姆的時候好像只能瞎子摸象然後我們再看到我們衛福部的托育沒有平台這個實在是有夠兩光的這你們做的嘛托育平台沒有照片沒有名字OK因為各自是不是對嘛各自嘛是是他有同意嘛對阿他的手機
transcript.whisperx[283].start 8687.655
transcript.whisperx[283].end 8712.086
transcript.whisperx[283].text 他的托育服務地址也是他同意那登記證的編號技術證編號年齡45到50歲然後下面的托育環境通通沒有所以他只要不同意所以通通就不用拖
transcript.whisperx[284].start 8715.062
transcript.whisperx[284].end 8736.633
transcript.whisperx[284].text 這個托育平台是誰設計的嘛?是公部門嘛,對不對?對嘛,然後我們完全要遵照他他只願意公佈手機、公佈證號、公佈托育的服務住址其他他不公佈你就完全要尊重他連我要去看這樣的一個基本資料我要聘的人、聘這個保姆我就可以看到這些然後你說因為各自的關係這個太牽強了吧
transcript.whisperx[285].start 8740.274
transcript.whisperx[285].end 8755.193
transcript.whisperx[285].text 應該是說我們目前因為這個平台也是政府主動去做都不是依法的一個授權啊政府主動去做都不是一個依法的授權不是法律政府在違法不是不是沒有授權所以就
transcript.whisperx[286].start 8755.774
transcript.whisperx[286].end 8757.296
transcript.whisperx[286].text 進行專題報告:立法院第11屆第1會期社會福利及衛生福利部長、衛生福利部長、教育部就
transcript.whisperx[287].start 8772.617
transcript.whisperx[287].end 8792.438
transcript.whisperx[287].text 托育專法,我們可以再來審慎的考量一下。」就是說哪些部分我們接下來可能是要保姆一定要來揭露的這個部分。我覺得這個部分確實在整個個資的這個部分是還是要有法律的一個授權,我們才能夠比較是強制的要求保姆的一個配合,對。
transcript.whisperx[288].start 8793.889
transcript.whisperx[288].end 8819.623
transcript.whisperx[288].text 這個部分我們在這次修法的時候我們會把它考量進來因為時間的關係後面還有兩個題目我覺得當這個是政府所設計的一個托育平台的情況之下他就必須要非常嚴謹加慎重要給聘僱的家長甚至於機構都有一個參考的一個好的平台但是如果這個平台是不好的
transcript.whisperx[289].start 8821.512
transcript.whisperx[289].end 8846.748
transcript.whisperx[289].text 這交代不過去啦我覺得我們在修法之前還沒有完我覺得我們可以來檢討你要放上去我們提供這個平台你要放上去那你就要按照我們的規定來做你才可以放我覺得這個也是一個要求我覺得這個是真的要趕快來檢討好不好另外一個針對保姆的住居是不是有一個我們不能來設計一個就是logo
transcript.whisperx[290].start 8848.999
transcript.whisperx[290].end 8875.812
transcript.whisperx[290].text 這個保姆的住居裡面有外面有個logo我們就很清楚他可能必須要比較有一個左右鄰居就知道說這邊是有保姆在照顧小朋友的地方他必須要比較有鄰近的一個環境那甚至有聽到小朋友這個經常的很奇怪的那種啼哭聲的時候他們會有預警他們也會適時的來來做一個就雞婆的動作這個我們可能還是要帶回去再看看
transcript.whisperx[291].start 8876.963
transcript.whisperx[291].end 8887.105
transcript.whisperx[291].text 提高鄰居的警覺性,我想有其必要,不要像這一次接訪鄰居通通知情,結果政府都不知道。」主席我再請一下許部長,一分鐘就好。來許部長請。
transcript.whisperx[292].start 8905.083
transcript.whisperx[292].end 8929.776
transcript.whisperx[292].text 部長,這個保姆是從一百零年開始聘僱外籍家庭傍用到了一百一十二年的時候發生這個事情又威脅移工不得出庭替凱凱作證因而被廢聘,我掌握的訊息是這樣這個期間一二到一零一這個保姆換了將近十年的外籍傍用
transcript.whisperx[293].start 8930.748
transcript.whisperx[293].end 8932.489
transcript.whisperx[293].text 平均一年換一個
transcript.whisperx[294].start 8950.691
transcript.whisperx[294].end 8955.595
transcript.whisperx[294].text 以後這種頻繁的,我們應該要略為高風險去仿視。今天如果我們有預警到這個事情,是不是這個顧主席保姆有虐待外籍醫工,其實凱凱的事情可能就不會發生。
transcript.whisperx[295].start 8972.851
transcript.whisperx[295].end 8999.683
transcript.whisperx[295].text 報告委員,謝謝您,我們這邊會來加強訪視我們的訪察員,我們會針對這種平凡換移工的那個僱主來加強他訪視的…我掌握到這個訊息的時候,部長我真的非常驚訝10年換10個,不到1年換1個老公署給我的本辦的資料是這樣,說10人除了約滿到期外,還有合意解約的
transcript.whisperx[296].start 9001.565
transcript.whisperx[296].end 9025.255
transcript.whisperx[296].text 當我們在討論要處理印度義工的時候,勞動部都至於說外籍勞工來台灣會很珍惜工作機會嘛,對不對?做一年,做不到一年就要換工作,他很不珍惜。他什麼理由?他什麼理由合意要離開?怎麼會隨便的合意要解約?我們怎麼會沒有注意到?
transcript.whisperx[297].start 9026.705
transcript.whisperx[297].end 9050.893
transcript.whisperx[297].text 這個部分我們也會跟地方政府一起來努力啦因為解約驗證是在地方政府的執行那這部分我們也會來做提醒那是那個訪視的部分一個關懷機制、一個訪視機制、一個預警機制嘛今天如果我們提早在這10年內我們提早到其中有一個被他更換掉的外籍移工可能在聘僱過程裡面他不敢講嘛但是他合意解約的
transcript.whisperx[298].start 9051.733
transcript.whisperx[298].end 9072.568
transcript.whisperx[298].text 之後我們是一下去了解他為什麼要不到一年時間他就要離開問一個問不出來問兩個問不出來十年內就有十個問三個或許又問出來了長期受虐或許就我剛才講的不會有下一個移工再受虐不會有改革事件發生
transcript.whisperx[299].start 9077.745
transcript.whisperx[299].end 9086.254
transcript.whisperx[299].text 好 謝謝劉建國委員那等一下林淑芬委員質詢結束後我們就處理臨時提案接下來我們請黃秀芳委員質詢謝謝主席我們請那個次長李次長好李次長請
transcript.whisperx[300].start 9101.957
transcript.whisperx[300].end 9125.836
transcript.whisperx[300].text 委員好市長好市長我相信這幾個禮拜大家一直在討論就是我們的這個托育的環境那我想請教就是說在去年這個總統跟立委選舉的時候我相信不論是總統候選人或者是立委這個候選人都有提出很多的有關的這個托育的政策那我想請教就是說
transcript.whisperx[301].start 9126.956
transcript.whisperx[301].end 9146.665
transcript.whisperx[301].text 有關我們目前的這個育兒的相關的政策,衛福部這邊也很多,有的是補助,可能就是補助,那這個補助其實剛剛很多委員就是說臺灣這樣少子化,其實如果說一直是用補助的方式,可以解決這個少子化的問題嗎?
transcript.whisperx[302].start 9148.121
transcript.whisperx[302].end 9152.786
transcript.whisperx[302].text 經濟壓力的問題在我們相關的一個調查還是那個年輕父母親很重視的一個部分所以我們當然是透過整個
transcript.whisperx[303].start 9163.976
transcript.whisperx[303].end 9188.157
transcript.whisperx[303].text 經濟的一個補助,能夠來減輕家長的一個負擔。」那我們看到就是說衛福部這邊也補助了,不論是從0到2歲,或者是2到4歲,甚至在幼兒園的時候,其實都有補助嘛。那當然這個補助對年輕朋友來講應該多多少少有一些注意。那我看到我們的生育率還是很低啊。
transcript.whisperx[304].start 9189.358
transcript.whisperx[304].end 9214.888
transcript.whisperx[304].text 那感覺好像也是沒有起色啊那去年還剩下13萬這每一年都一直在減少那你們針對除了補助之外你們有什麼樣的政策可以讓年輕人覺得說政府來減輕他的經濟負擔之外那整個這個托育的這個環境也改善讓他願意生敢生
transcript.whisperx[305].start 9216.228
transcript.whisperx[305].end 9233.598
transcript.whisperx[305].text 在整個托育這個的部分的話我想除了那個托育補助之外其實我們都很積極的在佈建所謂的公共化跟準公共化因為就近讓父母親可以就近就找到品質好的一個托育的一個
transcript.whisperx[306].start 9234.478
transcript.whisperx[306].end 9263.166
transcript.whisperx[306].text 一個場域其實也是非常重要那另外其實也跟勞動部一直在推動職場那如果有有可以讓父母親帶著孩子一起去上班這也是對年輕的這些父母親來講也是會一個有幫助的一個地方我想說怎麼樣子把托育資源佈建得更完整這個部分我們會持續來努力那最近的一個少子女化的一個檢討可能在看到就是說我們年輕人可能不是不敢生而已
transcript.whisperx[307].start 9264.326
transcript.whisperx[307].end 9267.729
transcript.whisperx[307].text 結婚的結婚率收下降,如何鼓勵年輕朋友?
transcript.whisperx[308].start 9287.121
transcript.whisperx[308].end 9315.338
transcript.whisperx[308].text 這個部分因為整個少子女化對策是行政院這邊有政委在做跨部會的一個協調那確實我們現在各部會也都在繼續的在繼續的演繹滾動的修正是看到說怎麼樣子可以再來鼓勵例如說婚育的這件事情有什麼樣的措施那這個部分其實在行政院都有一個會議持續的在座討論當中還有就是說哪些方面還可以再減輕
transcript.whisperx[309].start 9316.218
transcript.whisperx[309].end 9332.308
transcript.whisperx[309].text 父母親的負擔,都有在做檢討。」當然我覺得很重要一點除了說補助之外可能就是說整個托育的這個環境要改善那這個凱凱的事件我相信也讓很多人很有
transcript.whisperx[310].start 9333.308
transcript.whisperx[310].end 9362.355
transcript.whisperx[310].text 有感而發。」就像年輕人他也許會覺得說那萬一我碰到這樣的保姆要怎麼辦那我其實我在這邊也要提出就是說其實保姆應該要有退場機制如果說第一時間像這個保姆他第一時間有的要把自己的小孩就是交給他他也會去看這個保姆的環境嘛那如果說這個保姆的環境這個整個居家環境不好整個這個環境空間
transcript.whisperx[311].start 9363.055
transcript.whisperx[311].end 9381.306
transcript.whisperx[311].text 不夠或整個保姆的態度或種種你們應該有一個評鑑的機制那如果在第一線如果說去評鑑之後如果說是不好的話應該就是要讓他就是第一個也許可以改善的就改善不能改善應該就是要讓他退場
transcript.whisperx[312].start 9382.647
transcript.whisperx[312].end 9401.947
transcript.whisperx[312].text 其實都有這個機制那怎麼去落實啊都要去平和然後有發生什麼樣的問題因為其實保姆要拿到這個可以職業的話他的環境也是要經過檢核通過才可以那為什麼這個保姆會有這個有的新手爸爸媽媽會說這個他的環境是不好的
transcript.whisperx[313].start 9404.91
transcript.whisperx[313].end 9434.418
transcript.whisperx[313].text 那如果他的環境是不好的為什麼他還可以擔任保姆他的環境不好我們在上次跟縣市的檢討會議當中台北市有說明說他們看到那個環境不好是因為本來孩子的收托的環境其實是在一樓一樓因為他那時候收了兩個孩子那一個孩子就是死亡一個孩子還在收托當中那因為發生這件事情這個保姆把他移到三樓那個三樓本來就不是
transcript.whisperx[314].start 9434.938
transcript.whisperx[314].end 9440.521
transcript.whisperx[314].text 合可托育的環境:未來也是要有不可以預警式的去說你們要去訪視:那為什麼之前還會有這樣的狀況:
transcript.whisperx[315].start 9455.227
transcript.whisperx[315].end 9477.018
transcript.whisperx[315].text 這是托育、居托中心這邊會是採無預警可是另外社工是兒盟的社工他們可能不是採無預警的所以這個部分我們會接下來針對這些說出養機構也會希望他們對於這些收托的一個場域也應該是採無預警的所以我希望就是說有這樣的一個
transcript.whisperx[316].start 9478.758
transcript.whisperx[316].end 9496.646
transcript.whisperx[316].text 這個慘痛的這樣的一個案例我們希望說未來真的要從這方面該改善的真的要去落實而且我覺得說落實是最重要的你們如果說一年一年都有這個至少有4次的訪視那這個說出這個出養的這個機構他還有一年12次的這個訪視那為什麼還會有這樣的一個這個兒虐的案例來發生
transcript.whisperx[317].start 9502.668
transcript.whisperx[317].end 9531.008
transcript.whisperx[317].text 那時候我覺得說可能執行方面要真的要非常的落實那另外我剛剛有這個次長有特別提到就是說要怎麼樣讓年輕人感生、感養讓他有一個好的這個托育環境那剛剛次長有特別提到說我們現在有總公共化或者是這個非營利幼兒園那公托那其實我們也看到很多有加入總公共化的這個幼兒園
transcript.whisperx[318].start 9532.729
transcript.whisperx[318].end 9557.627
transcript.whisperx[318].text 這個加入總公共化的幼兒園其實有的有的原本可能他的體質不是那麼好那後來因為他有加入這個總公共化之後就讓他可以再繼續營運下去那我想請教就是說針對這樣的這些幼兒園加入我們的這個總公共化幼兒園之後原本他可能體質就已經不好了那你們後面你們要怎麼讓他可以
transcript.whisperx[319].start 9559.008
transcript.whisperx[319].end 9574.63
transcript.whisperx[319].text 就是接受你們的補助之後,那它可以整個品質可以提升。不能……委員是要問幼兒園還是托嬰中心?幼兒園。幼兒園,那就請教育部。
transcript.whisperx[320].start 9575.511
transcript.whisperx[320].end 9599.985
transcript.whisperx[320].text 就這邊跟委員說明一下就是我們準公務員基本上他加入以後基本上縣市政府他是要有一個督導的角色那我們基本上每一年都會給準公務員他有一些相關的補助可以役助他一些設施設備讓他可以改善他整體的一個環境那當然也會去做一個定期的檢核那因為目前也是坊間也是很多一直在反映說準公務員有一些違規的狀況那所以這個部分我們其實都會請縣地方政府再去加強去做後續的一個查核
transcript.whisperx[321].start 9600.165
transcript.whisperx[321].end 9624.828
transcript.whisperx[321].text 所以我覺得說加入這個總公共化之後其實你們也要有一個評鑑的機制啊你們不能就是讓他這樣子我覺得有很多他原本就是在還沒有加入總公共化之前他可能快要撐不下去了那後來加入總公共化之後他可以繼續營運那他的環境他的品質有的可能沒有再沒有提升
transcript.whisperx[322].start 9625.929
transcript.whisperx[322].end 9652.789
transcript.whisperx[322].text 那有的可能巧立名目又跟家長額外收費那類似這樣的一個狀況我覺得教育部這邊應該也要有一些機制如果說他真的做得不好的話應該也要有退場啊有我們目前都有退場要件那現在目前其實也有一些比方說他可能違規收費那基本上我們也是有一個申訴專線那如果都是隨時收到我們就隨時會請現任去做查核這個部分我們其實一直在處理是好那最後
transcript.whisperx[323].start 9653.35
transcript.whisperx[323].end 9658.142
transcript.whisperx[323].text 主席再給我一分鐘的時間,我請部長,好不好?好,來,許部長請
transcript.whisperx[324].start 9662.868
transcript.whisperx[324].end 9688.825
transcript.whisperx[324].text 黃委員好部長好部長其實在這個之前有很多人在提出說要延長這個托育時間那這個也這個延長托育時間到底是好或者是不好那這樣是不是反而是顯現出來就是說我們的這個勞動環境是不好的因為可能很多家長他就是需要加班那他的孩子沒辦法照顧所以就是要延長這個托育時間
transcript.whisperx[325].start 9690.726
transcript.whisperx[325].end 9706.256
transcript.whisperx[325].text 所以我不知道說是不是請部長回答一下這個部分當然對於照顧的人來講他因為延長他等於是加班那對於整個他的
transcript.whisperx[326].start 9707.984
transcript.whisperx[326].end 9722.644
transcript.whisperx[326].text 公使來講當然就會受影響所以我是不是可以要求就是說請部長如果是這樣這種情形他可能要必須多聘人我意思說如果家長有這個需求那他可能
transcript.whisperx[327].start 9723.104
transcript.whisperx[327].end 9751.929
transcript.whisperx[327].text 增聘人力,看怎麼做一些調節。」所以我們現在一直在講說這個延長托育時間有的可能托育家長可能要加班有的加班到八、九點那再把小孩帶回去其實跟小孩接觸的時間真的是非常的少孩子回去之後可能洗完澡之後就要睡覺了所以跟家長的相處的時間非常的少所以我們是不是也要從勞動部這方面也要去鼓勵我們的企業主
transcript.whisperx[328].start 9752.449
transcript.whisperx[328].end 9761.742
transcript.whisperx[328].text 好,可能要讓我們的這個員工可能要有彈性工時,那另外就是說也要鼓勵他們這個準時下班。對,這個部分當然我們會來呼籲雇主,就是說
transcript.whisperx[329].start 9768.001
transcript.whisperx[329].end 9780.284
transcript.whisperx[329].text 在工作時間上盡量,尤其有育兒的勞工,讓他們有彈性的工作時間,也能增加跟小孩相處的機會。從這方面我們會來努力,跟雇主來做呼籲。
transcript.whisperx[330].start 9790.026
transcript.whisperx[330].end 9792.667
transcript.whisperx[330].text 以兒童最佳利益來考量。」接下來我們請王正旭委員進行諮詢。
transcript.whisperx[331].start 9825.306
transcript.whisperx[331].end 9830.832
transcript.whisperx[331].text 謝謝主席有請勞動部許部長還有衛福部理事長好兩位請
transcript.whisperx[332].start 9834.301
transcript.whisperx[332].end 9858.184
transcript.whisperx[332].text 王委員好委員好部長好市長好我想大家包括本席在內所有國人都非常關心職場性別平等計畫有沒有好好落實所以在這個過程裡面所有的國人在職業當中都不要因為性別而遭受到歧視或者是不平等的對待
transcript.whisperx[333].start 9859.125
transcript.whisperx[333].end 9887.943
transcript.whisperx[333].text 那今天要跟兩位就交的就是有關於在醫院裡面其實我們也看到蠻多的男性護理師男性護理師占所有的在護理工作通任裡面只有差不多不到5%就是100個臨床的護理工作通任裡面差不多只有4.2%4.4%是屬於男性護理師那這部分不知道未來
transcript.whisperx[334].start 9889.023
transcript.whisperx[334].end 9908.912
transcript.whisperx[334].text 兩個部會有沒有辦法持續加強男性護理師在招募、宣傳或使用圖像時能夠凸顯出男性護理師在這個職場的重要性還有如何有機會讓社會大眾也了解男性護理師在這個職場是他們有工作
transcript.whisperx[335].start 9909.552
transcript.whisperx[335].end 9933.905
transcript.whisperx[335].text 在重要的這個負擔的部分那其實也可以鼓勵家長讓他們的小朋友有機會進到這個職場來這部分不知道目前兩個跨部會之間有哪一些努力的方向正在進行中我是覺得這件事情可能教育端在教育這一端就是說鼓勵這個
transcript.whisperx[336].start 9936.554
transcript.whisperx[336].end 9949.347
transcript.whisperx[336].text 這個在護理的職場也讓我們男性能夠願意來念這樣的一個科系然後進入到這樣的職場那當然在這個招募的部分這個用語或圖像這個我們會來會來努力這個沒有問題
transcript.whisperx[337].start 9952.771
transcript.whisperx[337].end 9969.598
transcript.whisperx[337].text 好,因為我在醫院常常看到很多招募的一些廣告或者是招募的一些圖像可是好像還沒看過男性護理師的這個圖像希望能夠持續來加強報告委員這個部分我們會回去請那個張護士
transcript.whisperx[338].start 9971.121
transcript.whisperx[338].end 9990.408
transcript.whisperx[338].text 這是在整個護理的人員相關的一個形象就是應該還是要男性的護理師這樣的相關的一些呃形象這個部分我們會來也會來持續的強化加強謝謝的確男性護理師在很多的領域包括在急診啊在健身科病房
transcript.whisperx[339].start 9991.248
transcript.whisperx[339].end 10007.4
transcript.whisperx[339].text 等他們是擔任他們的角色是非常重要的那我們也知道目前一年將近有700位男性護理師會畢業以後投入到職場在去年去年就有關心到說那這些男性護理師如果要面臨
transcript.whisperx[340].start 10008.82
transcript.whisperx[340].end 10032.473
transcript.whisperx[340].text 就業之前要服役的話有沒有機會去把我們可以看往下看下一張就知道說之前也有希望能不能有機會去服替代役那個在去年薛部長也說會跟這個議政署那邊做相關的研議那不知道目前有沒有相關的進度可以讓大家可以更了解
transcript.whisperx[341].start 10033.79
transcript.whisperx[341].end 10058.102
transcript.whisperx[341].text 目前應該還沒有一個還在研議中那我會再請我們的負責的同仁再盡快目前沒有看到有一個比較具應該還在研議中是可以理解福賓當然是沒因為這個還要跟那個我們的可能還包括內政部
transcript.whisperx[342].start 10059.132
transcript.whisperx[342].end 10081.937
transcript.whisperx[342].text 要一起做討論。我再回去了解目前的進度怎樣再跟委員報告。好,那就麻煩市長把這個訊息帶回去,請部長繼續幫忙。那我們往下看的部分就是如何完善職場的育兒環境。我們也知道其實要提升女性經濟的
transcript.whisperx[343].start 10084.757
transcript.whisperx[343].end 10107.584
transcript.whisperx[343].text 能夠貢獻在臺灣整個民間還有整個社會的力量會碰到一些問題針對女性的這個幫助社會做更好的這個建設部分那其中有一個很大的一個困境就是女性因為育兒照顧負擔而退出了職場那非常可惜所以在衛福部也推廣了這個性別平等推動的計畫
transcript.whisperx[344].start 10108.844
transcript.whisperx[344].end 10135.47
transcript.whisperx[344].text 那目前我們也看到其實甚至於這個男性女性在請假的部分往下看就可以看到至少女性會因為這樣的問題而去來影響到她的工作的百分比相對來講還是比男性多就是男性他其實更難在為了要照顧他的家裡的小朋友而要請假
transcript.whisperx[345].start 10136.79
transcript.whisperx[345].end 10152.38
transcript.whisperx[345].text 所以這部分如何能夠加強宣導讓男性的這個家長也有機會根據他的需要而做適當的請假來同時協助整個家庭在照顧兒童方面造成的困難那這部分
transcript.whisperx[346].start 10153.54
transcript.whisperx[346].end 10173.396
transcript.whisperx[346].text 兩個部會不曉得在加強的部分怎麼去培訓?我們其實現在已經放寬那父母可以同時請孕、流子、庭新共同來照顧小孩所以這個委員是2020的資料我們到去年2022我們那個孕、流子、庭新那個男性的部分大幅成長了61%
transcript.whisperx[347].start 10175.157
transcript.whisperx[347].end 10175.917
transcript.whisperx[347].text 行政委員會委員會委員會委員會委員會
transcript.whisperx[348].start 10207.949
transcript.whisperx[348].end 10220.421
transcript.whisperx[348].text 更彈性的示範我們就是讓他可以短天數我們現在因為留庭是要30天至少要30天以上我現在5月1號準備要示範
transcript.whisperx[349].start 10221.992
transcript.whisperx[349].end 10232.935
transcript.whisperx[349].text 大約不低於五天,若企業願意低於五天,我們也樂觀其成。」又是另外一個制度,盡量讓制度多元,讓勞動者去選擇怎麼樣能夠兼顧職場跟他的育兒。
transcript.whisperx[350].start 10238.857
transcript.whisperx[350].end 10267.317
transcript.whisperx[350].text 所以事辦計畫就是希望以後的這個假設他需要請假不需要一次假請半年或更久只要他能夠依照這個雇主的需求規範之下他可以請幾天或者是幾週的時間讓他更彈性的去照顧他的家裡的育兒我們之前就是6個月或者至少30天這樣那個修了修法之後的實施的成效男性部分是大幅的提升
transcript.whisperx[351].start 10267.617
transcript.whisperx[351].end 10292.909
transcript.whisperx[351].text 是,那如果說示範非常成功的話,那有需要做法令上的修改,我們到時候再看狀況來做調查。現在就是那個零碎化,就是那個日、日、時,我們現在可能日會比較適當,但我們先試看看,然後看看我們先示範到年底,然後看看企業的一個一個他們的回饋是如何,我們再來做一些研議。
transcript.whisperx[352].start 10294.249
transcript.whisperx[352].end 10296.812
transcript.whisperx[352].text 有關於其實現在都在鼓勵每一個單位工作單位能夠申請
transcript.whisperx[353].start 10306.065
transcript.whisperx[353].end 10323.537
transcript.whisperx[353].text 這些哺乳或是托兒措施的這些建制讓整個友善環境可以做得更好可是我們看到的就是這個數字相對是比較低那比較低的理由很有可能是很多都已經建制好了所以他每一年在追加的部分就比較少
transcript.whisperx[354].start 10324.418
transcript.whisperx[354].end 10347.393
transcript.whisperx[354].text 以我們看到的這個醫療院所補助加速為例好像每一年都只有20幾家相較於有400多家的醫療院所所以這個數字的呈現看起來是有它的一些問題是不是都已經做得很好了所以還在追加的部分就相對比較少將來這個數字的呈現可以再怎麼調控其實現在那個補給乳是跟
transcript.whisperx[355].start 10348.493
transcript.whisperx[355].end 10370.845
transcript.whisperx[355].text 這個托兒是不是在各企業我有時候去看幾乎都有所以已經建制的比較普遍所以他後面在成長就會趨緩是我意思就是說數據這個呈現如果讓他覺得很少數的話那怎麼去做一個滾動式檢討讓這個數據的呈現可以讓在閱讀的人可以更瞭解他的問題之所在
transcript.whisperx[356].start 10371.585
transcript.whisperx[356].end 10396.935
transcript.whisperx[356].text 那我們往下看一下有關於剛剛很多委員都有提到的無國籍兒童權益的保障的部分那其實資源不是沒有只是沒有妥善的整合所以我們再往下看的確在台灣目前有很多的無一而少可能是來自不是不應該說很多而是可能是來自這個失業的這個勞工造成的問題
transcript.whisperx[357].start 10397.995
transcript.whisperx[357].end 10409.606
transcript.whisperx[357].text 那請問目前我們到底有沒有比較可靠的數據這些失業勞工的兒童數字差不多會有多少這部分不知道要
transcript.whisperx[358].start 10414.271
transcript.whisperx[358].end 10432.804
transcript.whisperx[358].text 其實報告委員我們現在統計的是近20年從民國93年到今年的1月大概整個就是所謂黑屋寶寶的人數大概18000整個20年大概有18000然後這裡面失聯移工的大概是3579人佔了19.6%
transcript.whisperx[359].start 10439.828
transcript.whisperx[359].end 10460.821
transcript.whisperx[359].text 三千多名的這些二十年二十年來可是我們擔心的是最近如果有更多的這些寶寶的話或者是相對他還沒有成年的時候他的一些醫療照顧我們其實說明一下就是我們那個
transcript.whisperx[360].start 10462.202
transcript.whisperx[360].end 10485.36
transcript.whisperx[360].text 監察院、糾正行政院之後,我們其實有三個部會,跨部會勾基一個是移民署,因為移民署他是負責居留、居停留移民署、居停留,然後國健署,衛福部的國健署是健保,就是你有去產檢或什麼的,就會有資料另外就是我們的那個聘僱許可
transcript.whisperx[361].start 10486.141
transcript.whisperx[361].end 10500.029
transcript.whisperx[361].text 那這三方的資料現在勾集起來就有辦法去追蹤說各案的這個所謂黑屋寶寶的人數還有就是可以去掌握這個
transcript.whisperx[362].start 10502.051
transcript.whisperx[362].end 10519.392
transcript.whisperx[362].text 現在的狀況,然後看怎麼去協助。」所以這個部會也是剛剛召委在關心。事實上我們就是有建立這樣一個機制,三方勾肌就可以把人找出來。是,好,那找出來總是要安置。對,對,找出來的安置就是我們會主動介入,至少三個部會。
transcript.whisperx[363].start 10521.054
transcript.whisperx[363].end 10549.963
transcript.whisperx[363].text 內政部負責國籍、居留、私聯、移工及所吸子女的安置衛福部就是無醫兒少的醫療、安置、疫苗、社福的資源我們就是負責費用的補助安置遣返的費用就是勞動部由我們丟安基金來
transcript.whisperx[364].start 10550.883
transcript.whisperx[364].end 10576.598
transcript.whisperx[364].text 做補貼所以原則上就是三個單位會共同來處理這樣的問題那勞動部會比較辛苦一點我們現在也在做那個因為就是移工懷孕的權益保障指引就是讓原來的這些移工他如果懷孕的話我們如果提升那個整個協助服務的資源
transcript.whisperx[365].start 10578.539
transcript.whisperx[365].end 10596.131
transcript.whisperx[365].text 把合法失聯的都納入。」另外我們也在我們的LINE一點通我們會建置相關的這些醫療資訊資源這個我們大概應該半年內就會把它建置完成讓有需要的這些懷孕的移工他們不管失聯或合法都可以找得到醫療資源來協助
transcript.whisperx[366].start 10597.352
transcript.whisperx[366].end 10612.961
transcript.whisperx[366].text 好那三四本席也希望在前面一張就是有關於把這個費用不管是醫療或育兒費用也都能夠寫到文件裡面那這部分再麻煩部長這邊持續去注意到文件的落實
transcript.whisperx[367].start 10614.142
transcript.whisperx[367].end 10643.302
transcript.whisperx[367].text OK,好,那最後的部分就是上一次有提到新南向中心其實很多醫療院所有40家以上針對於如何去服務相關新南向過來的這些不管是移工或者是團體們那這部分其實不只是在做這個慢性的疾病照護而已那這部分的資源運用其實可以提供給勞動部這邊做參考再麻煩部長多了解以後如果有需要的話
transcript.whisperx[368].start 10645.362
transcript.whisperx[368].end 10655.786
transcript.whisperx[368].text 就麻煩大家一起努力。好,以上。好,謝謝。接下來我們請林淑芬委員進行質詢。主席,各位大家好。順順是請我們許部長。好,請許部長。
transcript.whisperx[369].start 10674.329
transcript.whisperx[369].end 10691.427
transcript.whisperx[369].text 部長,我們現在《性工法》第4章促進工作平等措施第15條明文規定,受僱的女性在受僱期間依認成、週數分免、流產等狀況應停止工作,給予產假的天數是不一樣的。
transcript.whisperx[370].start 10692.068
transcript.whisperx[370].end 10718.065
transcript.whisperx[370].text 那我今天要討論的是留產假因為你們事實上在這裡面談的是說你分娩前後或者是說認成三個月以上大概都是產假是有薪然後都給予他假又給他薪但是呢三個月以下的這個留產就是未滿三個月或者是未滿兩個月你給的假是不一樣的
transcript.whisperx[371].start 10722.648
transcript.whisperx[371].end 10744.698
transcript.whisperx[371].text 三個月以下裡面大概在性工法裡面給了一個禮拜或是至少五天的這個假然後不能夠扣全勤然後你們在去年五月一號發布了勞工請假規則第九條未滿三個月的流產如未請產假而依勞工請假規則請普通傷病假的
transcript.whisperx[372].start 10745.838
transcript.whisperx[372].end 10771.192
transcript.whisperx[372].text 不可以扣全勤,然後看起來好像有利於母性保護可是在背後我們突顯看到的卻是沒有薪資沒有薪資流產假沒有薪資這個事情要不然你請傷病假那你傷病假好像看起來給了半薪可是傷病假總天數是30天如果你真的傷病了普通的傷病了你排擠到真正的傷病
transcript.whisperx[373].start 10771.972
transcript.whisperx[373].end 10792.723
transcript.whisperx[373].text 所以沒有所謂的流產假的薪資然後要嘛你就請特休無薪假或是請特休這樣子所以這個對婦女來講我覺得這是對我們來講是相當的不公平就是說你成功生出一個小孩了才算有功勞我給你的假才會給你薪水
transcript.whisperx[374].start 10793.323
transcript.whisperx[374].end 10810.215
transcript.whisperx[374].text 如果你流產了你沒有成功生出一個小孩已經夠悲傷了假比較短就算了休息天數比較少就算了你沒有薪水給我們在法律上完全沒有任何的保障那現在我們看你今天公佈的這個請假規則第9條
transcript.whisperx[375].start 10814.378
transcript.whisperx[375].end 10825.719
transcript.whisperx[375].text 還是一樣就是沒有薪資你們是依據這個九十一年的韓式建議勞工去請這個有薪的半薪的病假病假那你覺得呢
transcript.whisperx[376].start 10827.096
transcript.whisperx[376].end 10846.876
transcript.whisperx[376].text 部長你覺得這樣子公平嗎我覺得委員這個部分我是覺得應該有就是要來檢討的空間那現在就是最主要是說到底這個薪資的給付是要來企業主來負擔還是要朝公共化那企業主負擔我們會比較擔心會造成女性的這個隱形的就業障礙
transcript.whisperx[377].start 10847.937
transcript.whisperx[377].end 10858.863
transcript.whisperx[377].text 所以我覺得這個部分恐怕不是很妥適但公共化的部分沒有我先問你第一個該不該給錢我是認為該給啦該給阿現在就誰出對誰出那你覺得這個誰出這個會需要很大一筆錢嗎我們之前有算過大概如果大概一億八千萬來照顧這個流產的女性
transcript.whisperx[378].start 10877.039
transcript.whisperx[378].end 10892.462
transcript.whisperx[378].text 可以嗎?國家人說生會過幾十年,生不過四十年,現在說你生有出來,你真漂亮,生沒出來沒公勞,沒真漂亮所以你為了一億八這樣子對待流產的婦女我是覺得是不是能夠
transcript.whisperx[379].start 10893.683
transcript.whisperx[379].end 10920.283
transcript.whisperx[379].text 照顧一下流產的婦女。」這個我們會來跟那個因為有點好笑是你如果認成3個月以上才流產你認成92天流產你工作滿6個月你是拿他全薪喔認成90天或89天查4天查3天你未滿3個月無薪水阿拉伯的傷病假半薪這個排擠了這個傷病假啦
transcript.whisperx[380].start 10921.103
transcript.whisperx[380].end 10937.409
transcript.whisperx[380].text 報告委員,這我看,我們會來跟主席,我覺得有大大的改進的可能性,那我們也跟,因為這個裁員,我剛講可能朝公共化會比較快沒關係啦,你找得到錢喔,我們不反對,我們只要有心的留產價
transcript.whisperx[381].start 10941.282
transcript.whisperx[381].end 10956.813
transcript.whisperx[381].text 這個部我是支持的接下來我們就要講因為我們一直不斷在談說育嬰留庭的把它改成彈性輕職假有心的彈性輕職假結果司長你們就公佈了這一個有心彈性輕職假的這個彈性育嬰留庭事辦計畫你們就公佈了
transcript.whisperx[382].start 10963.357
transcript.whisperx[382].end 10981.551
transcript.whisperx[382].text 但是呢,我們看一下這個事辦原則,司長跟部長你看一下,你們公布的第一個找事辦的對象就含育有3歲以下的輪班排班第一線的服務社會大眾的受僱者,大家都知道你找這個輪班跟排班的
transcript.whisperx[383].start 10982.472
transcript.whisperx[383].end 10992.445
transcript.whisperx[383].text 其實就是一個蘿蔔一個坑的你知道就是請假就是平常請假最沒有彈性的職業就是輪班排班的然後擺明了要上示範機關我們示範在建議啦我們就是建議韓國安這個部分啦
transcript.whisperx[384].start 11000.896
transcript.whisperx[384].end 11013.724
transcript.whisperx[384].text 不是啦,你們就講你們建議韓國人輪班排班但是呢,事實上你們去找的也是輪班排班的居多我現在保證要說,你去找最沒有彈性的職業要來試辦這一個有彈性的育嬰流停試辦計畫然後呢,這個最沒有彈性的職業裡面這樣試辦下去,我看啦,他可能會失敗
transcript.whisperx[385].start 11024.051
transcript.whisperx[385].end 11029.32
transcript.whisperx[385].text 然後就是是到底這個示範計畫是故意要讓它成為試金石還是要故意讓它成為絆腳石啦
transcript.whisperx[386].start 11035.838
transcript.whisperx[386].end 11063.612
transcript.whisperx[386].text 這個報告其實我們是說涵掛也希望說了解他到底因為我們大家都知道說這些輪班排班可能就是比較難但是我們要了解說到底他的難處在哪裡對啦你一個事辦機關你找最困難的職業去事辦不是我們不會指他啦全部都有包括啦我們現在只是說這個對象不會排除好啦我知道啦好啦沒關係啦我現在要跟你溝通幾個概念第一個我們現有的育嬰留庭他不是假
transcript.whisperx[387].start 11064.392
transcript.whisperx[387].end 11086.157
transcript.whisperx[387].text 各位育嬰留庭不是假他是年資中斷的他從來不是假所以他是一個契約終止的概念而我們其實一直主張的彈性的育嬰假親職假不是育嬰而已我們都知道養小孩不是只有嬰兒階段而我上個禮拜也跟你講說育兒的這個勞動婦女的離職都在3歲到6歲
transcript.whisperx[388].start 11091.298
transcript.whisperx[388].end 11115.671
transcript.whisperx[388].text 其實不是你講的0到3歲而已他需要陪伴他需要很多的照顧其實是很長的一段時間的所以這個如果是假的話他就沒有契約終止中斷的概念那我們都知道說這個缺工、少子化是目前台灣企業最大的危機也是要永續發展最迫切需要解決的問題
transcript.whisperx[389].start 11116.832
transcript.whisperx[389].end 11131.542
transcript.whisperx[389].text 如果這個大家都想說暫時的離開職場育嬰留庭那你去看他有沒有回到原崗位有0到3歲有回到原崗位可是這個指標不能作為指標因為我們都知道離開這個職場是重返職位之後3歲、6歲他的離職率是最高的3歲、6歲
transcript.whisperx[390].start 11139.807
transcript.whisperx[390].end 11153.658
transcript.whisperx[390].text 就不是去看他有沒有重新回到這個職位上不是看這樣的概念而已所以我們是希望你說有心輕執駕我沒有說你替代育嬰留庭育嬰留庭的模式也是一種選擇維持
transcript.whisperx[391].start 11155.299
transcript.whisperx[391].end 11160.905
transcript.whisperx[391].text 但你要增加的是一個更有彈性的有薪輕職假這樣的一個讓留停、停職、停薪跟這個請假的這個彈性的輕職假兩種選擇都在
transcript.whisperx[392].start 11171.736
transcript.whisperx[392].end 11189.107
transcript.whisperx[392].text 所以在這種狀況裡面我們才會講說這個你這個事辦計畫除了找這個輪班排班的以外我們外界也不看好啦外界不看好的狀況是因為第一沒有任何獎勵措施提供雇主誘因去申辦啦
transcript.whisperx[393].start 11189.907
transcript.whisperx[393].end 11201.796
transcript.whisperx[393].text 然後呢,雇主根本不知道你這是什麼樣態啊所謂的彈性親職價是什麼樣態五天是什麼樣態所以他你也沒有提供任何模式和樣態去供企業參考他怎麼去擴展企業願意提供他們這個誘因然後要加入呢沒有模式可以參考
transcript.whisperx[394].start 11210.282
transcript.whisperx[394].end 11224.85
transcript.whisperx[394].text 第三個我們也是建議你勞動部要收集國內外施行彈性育嬰價企業的案例跟做法提供給雇主做參考那最重要的是你的示範計畫一定要去說明要完整的說明
transcript.whisperx[395].start 11225.99
transcript.whisperx[395].end 11252.879
transcript.whisperx[395].text 像是這個工作生活橫平得獎這個措施得獎事蹟要包含全新育兒假日6週全新家庭照顧假15天像暑假的週五重要節日提早下班或者是每天工作7小時或者是有部分企業ESG報告他們已經揭露的已經在提供的有心安心照顧假那我們其實是希望你
transcript.whisperx[396].start 11255.24
transcript.whisperx[396].end 11258.366
transcript.whisperx[396].text 這個要解決缺工和少子化的危機你要想到一個問題
transcript.whisperx[397].start 11259.727
transcript.whisperx[397].end 11285.754
transcript.whisperx[397].text 你要想的不是說讓勞工完整的保留完整的工時讓這個生育的勞工要留下來那你叫他要經常性的延長工時或是8小時要做好做滿或是還要延長工時不是你延長工時的時候小孩要誰顧托育產業要顧可是你有沒有想過托育產業的從業人員也都是女性居多喔九成八成喔
transcript.whisperx[398].start 11286.533
transcript.whisperx[398].end 11293.223
transcript.whisperx[398].text 托育產業從業人員也有子女,他的子女要怎麼辦?」
transcript.whisperx[399].start 11294.884
transcript.whisperx[399].end 11323.27
transcript.whisperx[399].text 所以說你讓工作現場的女性不要一直延長工時也有彈性的減少一點工時那就讓這個托育產業的女性勞工也可以早一點不要整每天都拖到半夜三更半夜才能回去那她的小孩又是一個問題兼顧兩者讓托育產業的女性勞工也能夠好好的生養
transcript.whisperx[400].start 11324.864
transcript.whisperx[400].end 11340.153
transcript.whisperx[400].text 讓工作現場的女性也能彈性地回去做好她的親職的這個角色。」那我現在講說其實讓育兒家庭兼顧工作和育兒也才能符合兒童權利公約的意旨
transcript.whisperx[401].start 11341.033
transcript.whisperx[401].end 11367.275
transcript.whisperx[401].text 所以兒童權利公約的意旨在講說這些國要確保父母雙方對兒童養育及發展的共同責任而專家都講出說對兒少缺少休息陪伴這個就是最嚴重的問題爸爸媽媽對兒少沒有好的時間去親子互動沒有陪伴這個就是也是不符合兒童權利公約裡面的這個規範那我最後再講
transcript.whisperx[402].start 11371.457
transcript.whisperx[402].end 11385.54
transcript.whisperx[402].text 這個育嬰彈性化是國際趨勢在這種國際趨勢裡面他要包含各國的做法都包含可以選擇全職或先職可以包含可以請一段連續區間或幾個短時間包含可以選擇較長的時間或但幾戶較低的休假或者是給他時間較短但幾戶較高的休假
transcript.whisperx[403].start 11395.702
transcript.whisperx[403].end 11414.657
transcript.whisperx[403].text 實際性都樣態的而這種這個休假方式的不同我們看起來研究上都看到說女性往往都會請連續的長假的男性都會請比較彈性的然後比較短時間的顯示這種彈性的休假安排也可以讓男性參與育兒的這個
transcript.whisperx[404].start 11417.759
transcript.whisperx[404].end 11431.258
transcript.whisperx[404].text 及職場性別平等及性平三法上路如何落實職場性別平三法上路如何落實職場性別平三法上路如何落實職場性別平三法上路如何落實職場性別平三法上路如何落實職場性別平三法上路如何落實職場性別平三法上路如何落實職場性別平三法上路如何落實職場性別平三法上路如何落實職場性別平三法上路如何落實職場性
transcript.whisperx[405].start 11433.52
transcript.whisperx[405].end 11447.611
transcript.whisperx[405].text 這樣子才能夠留住女性的勞動參與率不要下降到4成多了然後大家動不動就說開放外籍移工、開放外籍移工留住女性的勞動參與率很重要
transcript.whisperx[406].start 11450.529
transcript.whisperx[406].end 11470.685
transcript.whisperx[406].text 這個事辦計畫現在事辦的加速你不要看起來全部都輪班排班一種最困難的你是說包含而已不是以他們為主那我們就希望說你應該要去好好的宣導然後告訴我們要參與事辦的企業我們到時候一定會檢視嘛參與事辦的企業到底是什麼屬性啊
transcript.whisperx[407].start 11474.908
transcript.whisperx[407].end 11481.836
transcript.whisperx[407].text 希望這個示範計畫是成功的試金石,而不是故意讓它失敗的絆腳石最後我今天剛剛開始講的有薪流產價要承諾給我們
transcript.whisperx[408].start 11492.683
transcript.whisperx[408].end 11496.504
transcript.whisperx[408].text 臨時提案第一案,鑑於失聯移工並無健保或醫療保險,看病將造成醫院醫療呆帳,
transcript.whisperx[409].start 11510.828
transcript.whisperx[409].end 11539.011
transcript.whisperx[409].text 而移工所生子女也難以就醫施打疫苗許多失聯移工因擔心被遣返回國也不願意尋求政府協助﹐對兒童人權影響甚巨原要求勞動部會同衛福部就失聯移工及其在台所生子女難以獲取醫療資源問題嚴理具體因應作為於一個月內向立法院社會福利及衛生環境委員會提出書面報告提案人委員王育敏、陳金輝、盧憲一
transcript.whisperx[410].start 11540.652
transcript.whisperx[410].end 11565.061
transcript.whisperx[410].text 第二、有鑒於監察院曾對勞動部提出糾正指出我國雖明文禁止雇主以女性移工懷孕為由單方面終止聘雇契約違經監察院調查後仍發現落實不足嚴重影響懷孕移工權益甚至成為失聯移工原要求勞動部應就落實法令禁止雇主非法解雇懷孕移工
transcript.whisperx[411].start 11565.501
transcript.whisperx[411].end 11584.852
transcript.whisperx[411].text 以及針對移工在臺工作期間撫養子女之需求研議具體改善方案。於一個月內向立法院社會福利及衛生環境委員會提出書面報告提案人委員王育敏、陳金輝、盧憲一。第三案有鑒於我國社福移工人數高達237,061人其中21萬餘人屬於不適用勞動基準法保障之家庭看護及家庭幫傭此類移工若在臺灣懷孕生子
transcript.whisperx[412].start 11594.657
transcript.whisperx[412].end 11600.322
transcript.whisperx[412].text 也無法申請勞保、生育給付、後續養育子女經濟負擔極重,更易造成移工失聯、逃逸之狀況。原要求勞動部針對不適用勞基法之設服移工、在台懷孕生子、研擬政府資源協助方案於一個月內向立法院社會福利及衛生環境委員會提出書面報告提案人委員王育敏、陳清輝、盧憲一
transcript.whisperx[413].start 11618.838
transcript.whisperx[413].end 11623.962
transcript.whisperx[413].text 第四案,據衛福部統計,2022年全台總計27134位托育人員其中50歲以上佔61.9%,預估5至10年內將陸續退出職場此外,彭婉如基金會議指出,如需滿足家長送托需求
transcript.whisperx[414].start 11637.953
transcript.whisperx[414].end 11655.101
transcript.whisperx[414].text 一百一十三年底須再增加四千名托育人員,顯見無論短、中、長期,托育人力皆需財恐急。原此,建請勞動部於兩個月內研議修正《外國人從事就業服務法》第46條第一項第一款至第六款工作資格及審查標準
transcript.whisperx[415].start 11656.581
transcript.whisperx[415].end 11668.353
transcript.whisperx[415].text 將托育工作納入專門性或技術性之工作職列,延攬畢業僑外生留台並投入托育工作以解決托育人員短缺之窘境。」提案人委員圖全吉,連署人委員盧憲一、蘇清泉。第五案
transcript.whisperx[416].start 11673.838
transcript.whisperx[416].end 11678.94
transcript.whisperx[416].text 兒虐事件發生後,面對檢討與改革,衛福部應正式社工工會提出五大訴求,包括全面檢討社會問題成因,別把社安網當成社工網,邀集職務代表重開兒虐檢討會,收回提高社工訪視頻率要求,保障社工職業安全,別讓社工遭肉搜怒罵,落實社工薪資制度,重視社工工作負擔及量能,並且妥適回應訴求,
transcript.whisperx[417].start 11703.348
transcript.whisperx[417].end 11708.409
transcript.whisperx[417].text 原此要求衛福部應全面檢討社工職業安全保障等相關措施並謹述回應相關訴求提案人委員黃秀芳、王振旭、劉建國第6案而福聯盟身為兒少保護團體的領頭羊應較坊間更注重社工與保母的職業保障以維持其穩定性。原要求教育部與衛福部
transcript.whisperx[418].start 11728.294
transcript.whisperx[418].end 11730.836
transcript.whisperx[418].text 管理機關之責、要求兒蒙救財務、捐款流向、社工與保姆職業保障、服務個案等提出改善報告.並向立法院社會福利及衛生環境委員會提出書面報告。提案人委員黃秀芳、王振旭、劉建國第7案
transcript.whisperx[419].start 11747.507
transcript.whisperx[419].end 11772.671
transcript.whisperx[419].text 查兒福聯盟近5年捐款收入超過31.2億元﹐理應有足夠資源聘請專業社工人力投入服務個案以近期發生兒童遭保母虐死事件為例時不應發生社工已因長期人力不足、業務繁重、壓縮訪視時間、敏感度不足又依照內部機制出問題時第一線社工沒發現第二線督導從訪視記錄報告也漏接
transcript.whisperx[420].start 11776.272
transcript.whisperx[420].end 11789.88
transcript.whisperx[420].text 而對整件事毫無所惜。顯見額蒙內部訪視督導機制有檢討改善空間,原要求衛福部緊速了解並要求額蒙改善。」提案人委員黃秀芳、王振旭、劉建國
transcript.whisperx[421].start 11791.872
transcript.whisperx[421].end 11811.085
transcript.whisperx[421].text 第八案,基於近期發生之劉同昭保姆虐死事件,為極力防止該事件再次發生,衛生福利部檢討我國居家式托育服務提供者登記及管理辦法各縣市執行問題,請衛福部要求各縣市提供居家托育人員違反前開辦法,
transcript.whisperx[422].start 11812.426
transcript.whisperx[422].end 11832.222
transcript.whisperx[422].text 及兒少福利與權益保障法相關規定的處理原則之報告公立法院社會福利及衛生環境委員會委員審視並於一個月內公告建立各縣市統一的處理原則以明確行政程序提案人委員林月琴、連署人委員王振旭、黃秀芳、劉建國第9案
transcript.whisperx[423].start 11834.224
transcript.whisperx[423].end 11855.639
transcript.whisperx[423].text 基於近期發生托育人員不適任問題,請衛生福利部與教育部檢討不適任托育教保人員資料庫勾基問題,並請衛福部及教育部提供各縣市托嬰中心及托育人員違反兒少相關法規公告專區及全國教保服務機構不適任人員資料庫勾基時間
transcript.whisperx[424].start 11856.921
transcript.whisperx[424].end 11875.223
transcript.whisperx[424].text 評慮之報告公立法院社會福利及衛生環境委員會委員審視並於一個月內公告建立各縣市統一勾基時間評慮的處理原則以明確行政程序提案人委員林月琴、連署人委員王振旭、黃秀芳、劉建國第十案
transcript.whisperx[425].start 11875.903
transcript.whisperx[425].end 11887.253
transcript.whisperx[425].text 為使勞動部彈性育嬰留職停薪事辦計劃推行順利,亦能藉由事辦計劃找出企業之困境與家庭之需求。勞動部應嚴義簡化育嬰留停津貼申請流程,提出具體誘因與鼓勵措施,彈性放寬事辦計劃限制,延長計劃執行時間,
transcript.whisperx[426].start 11898.482
transcript.whisperx[426].end 11916.471
transcript.whisperx[426].text 提出事前宣導、事後檢討具體規劃,並邀請關注托育、照顧議題之民團討論諮詢。」提案人委員黃秀芳、王振旭、劉建國、范雲宣讀完畢。好,我們現在開始處理臨時提案。請問第一案行政單位有沒有意見?
transcript.whisperx[427].start 11919.253
transcript.whisperx[427].end 11947.222
transcript.whisperx[427].text 八號委員會第一案我們勞動部其實目前也正會跟衛福部就委員所關心的四點移工跟子女的醫療這個部分目前正在進行那因為這個案子因為涉及到相關部會跟我們跟移工團體跟社福團體可能要再做一些研商能不能建議在倒數第二行研擬就請建議改研議具體因應作為那於一個月是不是可以給我們兩個月時間內我們盡快把這樣的一個做法具體把它呈現出來提供衛福兩個月要具體對
transcript.whisperx[428].start 11948.482
transcript.whisperx[428].end 11970.589
transcript.whisperx[428].text 好,那就修正通過,來第二案那跟委員報告,那第二案也是一樣,是不是同意在我們倒數第二案一個月改兩個月,讓我們來研議好,都要提出具體方案,好修正通過,來第三案那第三案也是一樣,倒數第三案就研擬改研議,那一個月改兩個月這個需要那麼久嗎?這個其實很簡單
transcript.whisperx[429].start 11972.598
transcript.whisperx[429].end 11973.258
transcript.whisperx[429].text 行政部長。
transcript.whisperx[430].start 11984.126
transcript.whisperx[430].end 12011.577
transcript.whisperx[430].text 那第四案跟委員溝通後是不是在建議倒數第五行那這裡面有建議勞動部於兩個月內那我們是建議因為這涉及到我們跟衛福部的主管的一些意見那能夠加上會商衛福部那原意修正後面沒有修正就加五個字會商衛福部好那個托衛員有沒有意見他修正之後可以好那就修正後通過來第五案
transcript.whisperx[431].start 12016.226
transcript.whisperx[431].end 12024.569
transcript.whisperx[431].text 沒有意見通過來第6案沒有意見通過來第7案沒有意見通過來第8案
transcript.whisperx[432].start 12028.857
transcript.whisperx[432].end 12048.274
transcript.whisperx[432].text 基本上我們對於整個居家保姆的一些違規的做法已經有訂了一個處理原則那我們剛有跟委員這邊溝通是不是建請就是可以修正一些文字在第三行請衛福部
transcript.whisperx[433].start 12049.014
transcript.whisperx[433].end 12076.961
transcript.whisperx[433].text 那刪除這個要求各縣市因為我們中央已經訂了那後面提供這個居家托育人員違反這個居家市托育服務提供者登記及管理辦法及兒少福利與權益保障法相關規定的處理原則那到這裡後面的文字就刪除溝通好了嗎?對,溝通好了那就修正後通過
transcript.whisperx[434].start 12078.463
transcript.whisperx[434].end 12078.993
transcript.whisperx[434].text 那,就這樣
transcript.whisperx[435].start 12079.793
transcript.whisperx[435].end 12107.561
transcript.whisperx[435].text 第九案也剛剛有跟委員溝通基本上因為違反那個法規的公告專區不是在做勾基的勾基的系統的名稱是托育服務整合資訊系統所以在第三行的這個各縣市托育中心及托育人員違反而授相關法規公告專區應該要修正成托育服務整合資訊系統
transcript.whisperx[436].start 12109.201
transcript.whisperx[436].end 12134.477
transcript.whisperx[436].text 那後面倒數第三行就是我們會提供委員勾基相關的一些勾基的時間跟頻率那到這個頻率為止後面的文字都刪除那這個部分也有跟林委員溝通了好那就修正後通過來第十案第十案剛剛已經跟委員這邊溝通過文字修正資料已經送給議事組
transcript.whisperx[437].start 12137.871
transcript.whisperx[437].end 12159.549
transcript.whisperx[437].text 就是那個在倒數第三行的部分那延長計畫執行時間的這幾個字刪除委員已經同意簽字好那就修正後通過來接下來我們臨時提案已經處理完畢那接下來我們就請李昆城委員發言
transcript.whisperx[438].start 12169.81
transcript.whisperx[438].end 12172.512
transcript.whisperx[438].text 好 謝謝主席 那我們請衛福部理事長委員好 社長好 這個在凱凱這個不幸事件發生之後那大家會關注在說這個孩子們在初養階段這個時候這個保母的照顧這個情況嘛因為凱凱發生的事情就是在初養這個階段然後呢 雖然是由這個兒福聯盟找到這個
transcript.whisperx[439].start 12199.103
transcript.whisperx[439].end 12214.402
transcript.whisperx[439].text 應該是臺北市社會局介紹的合格保姆但是最後不幸的事情就發生了所以說在這一個初養階段的保姆的照顧現在現階段就非常重要了在這件事情之後你們有沒有做什麼樣的一個檢討
transcript.whisperx[440].start 12216.304
transcript.whisperx[440].end 12225.595
transcript.whisperx[440].text 我們這次有跟兩個縣市政府專家學者額蒙有一起討論我們會覺得說在出養前的安置階段不應該全部交給收出養媒合機構
transcript.whisperx[441].start 12231.401
transcript.whisperx[441].end 12255.676
transcript.whisperx[441].text 應該由政府擔起責任。」所以是現在是要建議就是要請縣市政府要依委託安置的程序來做這樣一個安置那委託安置就是縣市政府要有主責社工然後要結合他市內縣市內的一個安置資源然後確保這個孩子有得到好的照顧那市長我先請教你在出養的這個階段的這個保姆的費用是誰出的
transcript.whisperx[442].start 12256.938
transcript.whisperx[442].end 12278.124
transcript.whisperx[442].text 目前都是媒合機構在出那為什麼是媒合機構出來?比如說這次是由兒福聯盟來出然後他找了一個月兩萬六那我不知道說一個月兩萬六是不是符合現在的行情那這個為什麼是由這個兒福聯盟或是這個媒合機構來出不是由這個地方政府來出或是由這個中央政府來出
transcript.whisperx[443].start 12278.584
transcript.whisperx[443].end 12298.753
transcript.whisperx[443].text 因為他們大部分是屬於來自錯瑞家庭嘛那脆弱家庭的這個階段我搞不清楚啦當初的這個用意為什麼是由這個媒合機構那我是擔心啦就是說如果以前都是這樣子的話那我就找一個比較便宜的這個不一定是能夠照顧好的那其實這些孩子們不是應該得到更多的照顧嗎
transcript.whisperx[444].start 12299.993
transcript.whisperx[444].end 12318.293
transcript.whisperx[444].text 委員剛剛我講的就是說這個案子是由媒合機構出可是我們看到有各縣市其實有一些不一樣的做法那為什麼會有不一樣的做法呢對所以這個部分就是當時所以有的是由這個媒合機構來出那有的是由地方政府來出那這就蠻奇怪的啊是因為說兒福聯盟他比較有錢所以兒福聯盟就自己出嗎
transcript.whisperx[445].start 12321.856
transcript.whisperx[445].end 12338.196
transcript.whisperx[445].text 應該是說當時因為他是脆弱家庭開案其實家長也反映說他無力照顧如果當時地方政府新北市如果可以用委託安置的話那這一筆錢就是縣市政府要出可是因為他沒有走入這個狀況
transcript.whisperx[446].start 12339.918
transcript.whisperx[446].end 12342.701
transcript.whisperx[446].text 二、邀請衛生福利部、教育部就 «落實職場性別平等及性平三法上路如何落實職場育兒環境及職業道德之培訓策進
transcript.whisperx[447].start 12357.057
transcript.whisperx[447].end 12383.169
transcript.whisperx[447].text 不是最理想的保姆那也有可能啊那會有損經費啊如果今天這個經費是由中央政府或是由地方政府來出的話或許就不一樣了啊所以我們這次就是就是要扭轉這樣的有一些機制所以我們這次需要委託安置就是地方政府要出錢委託安置就是地方政府要出錢所以就是以後只要是這個出養階段的這個孩子都是由這個地方政府來負責安置的經費對那地方政府有這個錢嗎
transcript.whisperx[448].start 12385.37
transcript.whisperx[448].end 12403.353
transcript.whisperx[448].text 所以我們有提到就是說如果地方經費不足我們中央會來協助因為我覺得很意外就是說這個是屬於脆弱教練孩子為什麼是有這一個兒福聯盟來出這筆錢那會不會是因為這樣子衍生後續的問題那兒福聯盟是有錢啊他可以這樣出那其他的媒合機構他可以這樣出嗎
transcript.whisperx[449].start 12404.634
transcript.whisperx[449].end 12419.036
transcript.whisperx[449].text 這不是很奇怪嗎所以我們就這一次有針對這個部分就提出加一個檢討的一個做法了那請問一下就孩子從這一個出養到最後這個收養這個階段大概要付多少費用
transcript.whisperx[450].start 12420.508
transcript.whisperx[450].end 12437.956
transcript.whisperx[450].text 就要看他等待收養的這段時間有多長那因為牽涉到是說是付保母費還是有一些媒合機構他有自己的機構那所以各個媒合機構跟這個收養家庭的這個家長收的費用也不一樣
transcript.whisperx[451].start 12438.596
transcript.whisperx[451].end 12456.196
transcript.whisperx[451].text 是是那那有沒有你們有沒有綠定一個範圍有大概是多少到多少好像是完成是10萬10到15萬15萬以內之間那你們有去看說到底這些媒合機構最後收的費用是多少嗎你們有這個你們有這個數字嗎他會報給你們嗎是是要報那除了這個
transcript.whisperx[452].start 12460.2
transcript.whisperx[452].end 12481.539
transcript.whisperx[452].text 法定的一些...我有看相關程序大概收多少費用大概如果是10到15萬會不會有額外其他的費用需要這個收養的家庭的家長要出這個是不應該收的那會不會有因為我知道說不是只有15萬就結束了通常收養一個孩子超過了費用甚至到百萬都有欸
transcript.whisperx[453].start 12483.6
transcript.whisperx[453].end 12495.856
transcript.whisperx[453].text 這個差不多百萬有可能他們是在為了要收養孩子所以他們去不同的媒合機構然後不同的媒合機構可能就是有收他沒有沒有就同一個機構那不應該出現這樣的一個機構我覺得這裡面要去查就是說這個
transcript.whisperx[454].start 12506.685
transcript.whisperx[454].end 12523.013
transcript.whisperx[454].text 這部分我們會來再針對目前的媒合機構我們再來做查查那如果委員有知道哪一個單位可以跟我們好謝謝謝謝社長謝謝主席接下來我們請洪孟楷委員進行質詢
transcript.whisperx[455].start 12533.993
transcript.whisperx[455].end 12563.185
transcript.whisperx[455].text 主席謝謝,麻煩請許明春部長。好,來請許部長。部長,去年我們大幅修正性平三法,其中性別平等工作法,最主要就是希望能夠降低MeToo事件的再次發生。但是,很多的共同案件的共同點是什麼?是雇主沒有處理,或是處理不當,還是行為人有可能就是雇主,而造成職場上的性消擾事件。
transcript.whisperx[456].start 12563.985
transcript.whisperx[456].end 12578.362
transcript.whisperx[456].text 那我們現在想要來跟您再就近一步的討論就是說怎麼樣能夠有效的防範職場性騷擾這一個部分我先請教一下就是說我們現在職場性騷擾我們有訂立出相關的一個規範跟申訴的規範範本
transcript.whisperx[457].start 12581.505
transcript.whisperx[457].end 12596.405
transcript.whisperx[457].text 事業單位工作場所性消擾防治措施申訴及懲戒規範範本有分三個版本一個是30人到100人的企業一個是100人以上不滿500人的企業以及500人以上的企業對不對分三個版本
transcript.whisperx[458].start 12597.006
transcript.whisperx[458].end 12618.34
transcript.whisperx[458].text 那三個版本裡面共同條文有第四條所謂的對於相關人不適當的凝視也視為性騷擾的樣態之一部長能不能更清楚明白說明一樣不適當的凝視泛指什麼樣的一個部分比如說盯著某個重要部位看這個就是
transcript.whisperx[459].start 12619.957
transcript.whisperx[459].end 12647.315
transcript.whisperx[459].text 看多久?或是什麼?有沒有一個比較明確?還是員工自己覺得不舒服就認定?我是覺得看個案綜合判斷基本上應該是以被害者他的感受有些人可能你這樣瞄我一眼我就覺得不舒服了我覺得應該是尊重因為我們這個主要是要保護被害人所以我是覺得可能要比較在被害者的角度來看這件事情
transcript.whisperx[460].start 12648.186
transcript.whisperx[460].end 12671.841
transcript.whisperx[460].text 就是要綜合啦,我覺得,但是要看個案的情況是,但這樣子會不會因為規範的沒有明確而造成說你難以認定還有我們常常講到是說不當您是提醒會觸犯職場性騷擾但是可能很難舉證所以是不是建議還是要有實際的一個案例能夠來在這個指引上面能夠給大家更有依循可循
transcript.whisperx[461].start 12673.109
transcript.whisperx[461].end 12692.278
transcript.whisperx[461].text 我們會有更多的宣導資料來提供給我們的雇主或我們的員工。宣導資料那部長本席能不能在這邊做個建議就是其實我覺得你剛剛的回答很好就是說如果說不管是男性或女性有身體的特定部位被持續被盯著看而造成讓
transcript.whisperx[462].start 12693.739
transcript.whisperx[462].end 12714.92
transcript.whisperx[462].text 這個被盯看的人的心理造成一個不舒服的狀態其實某種程度上就可以構成職場性騷擾那是不是把這樣的一個樣態寫得比較明確裡面在這個我們所謂的規範範本裡面能夠更清楚等於是有個個案的例子讓大家知道否則一句不適當的凝視可能會讓大家的確啦我們可能用比較
transcript.whisperx[463].start 12716.441
transcript.whisperx[463].end 12740.147
transcript.whisperx[463].text 顯顯的例子然後來說明這個文字的意義所以這個改進什麼時候可以來做修正給我們各機關公司我們現在有第一個指導手冊本期就是看到了指導手冊認為是說就是不清楚所以說我今天才會提出來我們再檢視一下再強化因為這個我們都會隨時可以滾動的本期就認為是說應該要把這個樣態寫的明確讓
transcript.whisperx[464].start 12744.517
transcript.whisperx[464].end 12758.131
transcript.whisperx[464].text 想要性騷擾的人無所適從沒有辦法去做那我們也提醒、善意提醒說任何的一個員工如果你真的職場上遭受這樣的待遇的話符合這樣樣態你是可以主張你的權益的是好那另外
transcript.whisperx[465].start 12760.049
transcript.whisperx[465].end 12783.785
transcript.whisperx[465].text 防止累犯跟持續的這種職場安全的部分其實也是一個很重要為什麼這樣講因為我們也看到一個新聞是講說有某公司的主管信銷女同事啊公務機關啊就沒被拔官他也是主管沒被拔官只有記小過然後他就調離原單位但是他調離到新的單位裡面他可能一而再再還是持續發生啊
transcript.whisperx[466].start 12785.066
transcript.whisperx[466].end 12791.492
transcript.whisperx[466].text 那這樣的一個情況會不會造成說他的內部懲處其實就是高高舉起輕輕放下
transcript.whisperx[467].start 12792.526
transcript.whisperx[467].end 12818.994
transcript.whisperx[467].text 所以你的這個審計範本裡面有把解雇也當成是一個對於雇主對於性騷擾的行為人的糾正跟補救措施就換言之啊就你如果說你在你的公司裡面性騷擾的樣態太過了已經造成大家都不舒服而且甚至已經有違法的疑慮了雇主可以去解雇你而不受到所謂的勞基法的一個保障
transcript.whisperx[468].start 12820.895
transcript.whisperx[468].end 12842.73
transcript.whisperx[468].text 那裡面你們提到了門檻設定是是情節輕重對於行為人適當的懲處或處理情節重大者事業單位可依性平工作平等法的規定不經預告終止勞動契約好那請教情節重大這四個字怎麼定義
transcript.whisperx[469].start 12845.047
transcript.whisperx[469].end 12860.603
transcript.whisperx[469].text 其實我也就是也是要看個案判斷因為我們很多法律條件都是都有這樣的規定對但是情節重大就變成是可高可低到底是次數我一年內性騷擾別人的次數言語的性騷擾口頭上性騷擾還是眼神的性騷擾還是肢體的性騷擾
transcript.whisperx[470].start 12866.169
transcript.whisperx[470].end 12887.215
transcript.whisperx[470].text 情節重大,碰觸到不該碰觸的部分還是口頭吃豆腐還是已經造成大家不舒服但調離不同單位他還是依然僱我那這個情節重大怎麼定義會變成是說你給僱主一個工具但是實際上你沒有讓他可以有效的用這個工具而僱主可能會擔心就是
transcript.whisperx[471].start 12888.275
transcript.whisperx[471].end 12908.597
transcript.whisperx[471].text 勞基法以及如果說我解雇了反而會吃上官司其實我們可以有例子舉例來說明會比較好讓他們能夠來比照援引說原來這個情節重大的狀況是類似這樣所以本席也是提出來今天也是就這兩點就是
transcript.whisperx[472].start 12910.399
transcript.whisperx[472].end 12937.585
transcript.whisperx[472].text 麻煩我們勞動部在針對我們提出來的這個申訴及懲戒範本裡面應該要把相關的個案認定到什麼樣的一個程度就是所謂的情節重大讓所有的僱主能夠有這樣的武器可以使用如果說這個行為人真的就是屢勸不聽我記得小過大過他還是不改他還是持續的在單位性騷擾那我當然就可以用解僱這樣的工具來把他給請他離開
transcript.whisperx[473].start 12939.585
transcript.whisperx[473].end 12943.115
transcript.whisperx[473].text 那這什麼時候可以出來?三個月內行不行?
transcript.whisperx[474].start 12945.384
transcript.whisperx[474].end 12972.104
transcript.whisperx[474].text 三個月內把範本裡面相關的個案、釐清、說明清楚再公告上網我請業務單位再檢視一下啦所以說如果不明確的可能不只我言您講的剛剛那兩個我剛剛只是因為時間有限啦四分鐘我請他們全部再檢視一下如果可以舉例的我們盡量舉例是有個案的或是過去有發生過的案例判決過或怎樣或是比較常出現的樣態
transcript.whisperx[475].start 12973.705
transcript.whisperx[475].end 12992.543
transcript.whisperx[475].text 這些都把它羅列出來,讓僱主、讓職員、讓不想要受到職場性騷擾的人有規則可循,這樣可以嗎?可以,謝謝。好,謝謝部長。好,謝謝侯孟楷委員的質詢。接下來我們請李燕秀委員質詢。
transcript.whisperx[476].start 13001.241
transcript.whisperx[476].end 13003.244
transcript.whisperx[476].text 領域及社會福利部、教育部及社會福利部、教育部及職業道德之培訓策進
transcript.whisperx[477].start 13008.362
transcript.whisperx[477].end 13037.7
transcript.whisperx[477].text 李委員好部長好部長無論是最近大家常常在討論ESG的議題還有包括永續發展國發會是上週針對於這兩個主要的目標都有定定相關的目標18項核心的目標跟內容特別是在譬如說在性別友善的職場上我覺得從這18大項目標裡面我關注到性別友善職場是我今天
transcript.whisperx[478].start 13038.42
transcript.whisperx[478].end 13059.196
transcript.whisperx[478].text 特別挑出來想跟您討論的因為我們是女性的部長我覺得在這一塊我覺得我們應該更著墨才不會白白來走這一招好比陳時中他現在把心口撕分開來有一個口腔絲我非常希望在您任內在兩性的平權上在友善的職場環境上我們可以更進一步
transcript.whisperx[479].start 13061.818
transcript.whisperx[479].end 13084.985
transcript.whisperx[479].text 那我們都知道從109年起我們現在已經達到生不如死也就是我們台灣的新生兒只剩下13萬左右那民間顧問公司也針對於企業的影響力評估無論從多元、公平跟共融上他們都做了一些調查目前只有三成的企業對於孕婦跟育兒的部分達到法律的規定門檻
transcript.whisperx[480].start 13086.105
transcript.whisperx[480].end 13095.928
transcript.whisperx[480].text 僅有兩成企業願意提供優於法規的育嬰停留,近三成企業願意提供優於法規的產檢價及賠產價。」部長,你覺得對於這三項數據,你個人覺得滿不滿意?
transcript.whisperx[481].start 13108.331
transcript.whisperx[481].end 13127.199
transcript.whisperx[481].text 對嘛,你也不滿意,我也不滿意。我知道我們前兩年我們有修法,包括我們針對於性平法裡面,我們性工法裡面,我們把產價現在有做調整,原來5天調整為7天。我們也有鼓勵他們說以半日或者小時為單位。
transcript.whisperx[482].start 13128.76
transcript.whisperx[482].end 13148.191
transcript.whisperx[482].text 但是您當媽媽嘛 對不對你有媽媽的角色嘛 對不對我也有媽媽的角色所以我們都生產過你覺得7天到底夠不夠我們一年孕婦最起碼就是說孕期至少要做到14次的產檢你覺得7天的產假就您個人
transcript.whisperx[483].start 13149.292
transcript.whisperx[483].end 13149.792
transcript.whisperx[483].text 你當過母親的角色,你有懷孕過以現在你覺得七天到底夠不夠?你滿不滿意?
transcript.whisperx[484].start 13160.889
transcript.whisperx[484].end 13184.195
transcript.whisperx[484].text 這個是不滿意還可以接受,因為當時在考量的時候就是14次的產檢,因為他可以請半天不中,你可能有時候有先生可以載你,家人可以載你,有司機可以載你但是對於很多女性來說,她懷孕的過程很辛苦,今天好像有一點點出血,有什麼狀況趕快去做個產檢
transcript.whisperx[485].start 13187.476
transcript.whisperx[485].end 13206.397
transcript.whisperx[485].text 這種狀況其實常常發生而且現在很多女性都晚婚生懷孕的年齡層也比較高所以你說怎麼勉強可以接受其實我是完全不能接受就一個女性的部長勞動部的部長來說我對於你這樣的說法我相對我是不滿意的我也認為不足夠啦你同不同意我這樣的說法
transcript.whisperx[486].start 13207.625
transcript.whisperx[486].end 13222.65
transcript.whisperx[486].text 到目前你點頭吧,這代表你也支持我的說法嘛好,部長那我接下來因為時間不多我還是要跟你討論就是我們從5天延長到7天但是我也關注到我們有編列3億6529萬的預算就是可以讓5天到7天這兩天我們可以讓資方去申請補助嘛對不對但是我們的補助最後執行率只有12.48
transcript.whisperx[487].start 13235.374
transcript.whisperx[487].end 13259.201
transcript.whisperx[487].text 這是因為企業主都不知道說有兩天可以申請是不是?不是,報告委員我們因為第一年我們第二年增加多少了?有達標多少?第一年我們主要是高估,那時候高估現在比例,比例,我們現在有兩萬三千
transcript.whisperx[488].start 13260.991
transcript.whisperx[488].end 13261.171
transcript.whisperx[488].text 補助5,000萬元 。
transcript.whisperx[489].start 13276.521
transcript.whisperx[489].end 13297.267
transcript.whisperx[489].text 懷孕生育的環境在這一塊我們就要想辦法讓資方說我們政府有編列這樣的預算趕快用多元觸角的方式讓他們來申請好不好那另外一個就是產價公共化的議題OECD國家有過半都對於產價大概都至少14週以上到底對於現在8週你個人覺得
transcript.whisperx[490].start 13299.548
transcript.whisperx[490].end 13324.919
transcript.whisperx[490].text 到底夠不夠?是不是一個好的現在職業婦女、想懷孕的婦女是一個合理的產假的假期?八週到底是不是?因為產假的部分其實在我們國內的定義是比較廣義啦就是會把...你不要講,我只問你一個,你不要扯因為我時間已經到了,你到底滿不滿意?因為這個產假八週...部長,你是女性的部長,我再一次提醒你
transcript.whisperx[491].start 13325.459
transcript.whisperx[491].end 13352.777
transcript.whisperx[491].text 我覺得這部分可以再來檢討啦可以再來檢討你有沒有檢討過我一直在講說12週、14週我的版本是提14週你如果我一直在強調說薪資公共化產價薪資公共化這件事情我不知道你有沒有跟行政院討論過你到底有沒有提出來過9週也好10週你到底有沒有跟資方討論過到底有沒有跟行政院討論如果朝薪資公共化我們到底要負擔多少的預算到底我們增加這些一週或兩週的產價我們有沒有機會
transcript.whisperx[492].start 13355.359
transcript.whisperx[492].end 13375.14
transcript.whisperx[492].text 多增加一些新生兒出生。」你有沒有提過還是你連提都沒提過我們立法院這麼多委員關注這個議題我相信至少過半的委員關注產假從8週可以延長這件事情報告我就再提出來14週產假公共化你到底有沒有提出來
transcript.whisperx[493].start 13376.081
transcript.whisperx[493].end 13395.096
transcript.whisperx[493].text 有沒有討論過?有沒有跟行政院討論過?議題我們都有跨部會,之前有討論過行政院不買單?院長不願意買單?不買單就是還在討論當中那就是沒有往前進嘛所以我要再提前,你是女性的部長,創造更好的兩性環境,女性的職場環境
transcript.whisperx[494].start 13397.958
transcript.whisperx[494].end 13416.935
transcript.whisperx[494].text 我覺得是我們大家共同的責任然後另外一個就是我希望在永續報告書裡面你要跟監管會去溝通無論是兩性的薪資的差距我覺得台灣我們在台灣女性還是落後男性我們有更進一步的空間包括懷孕育嬰的期間離職率到底有多少
transcript.whisperx[495].start 13417.295
transcript.whisperx[495].end 13443.673
transcript.whisperx[495].text 然後離職之後再回到職場他薪資變化到底是怎麼樣我希望在這一個部分上我們都應該公開揭露我們要創造更好的職場環境提醒這些上市上櫃公司這些都是我們勞動部長期在關注的議題跟方向可以嗎可以 我們繼續來溝通努力謝謝提醒你 你是女性的部長我們要對女性多做一點好 謝謝好 謝謝李燕秀委員的質詢
transcript.whisperx[496].start 13446.604
transcript.whisperx[496].end 13449.306
transcript.whisperx[496].text 接下來我們請吳佩奕委員進行質詢。謝主席,我請勞動部部長。好,請許部長。
transcript.whisperx[497].start 13463.495
transcript.whisperx[497].end 13486.585
transcript.whisperx[497].text 部長好,今天時間有限,我想就直接跟您請教,我們去年新平三法完成修法上路之後那我們的性工法第12條之中呢,勞動部我們來增列了針對職場性騷擾我們要來增列調查的人才庫那過去因為我在台北市議會,我曾經調查過就我們台北市政府而言各個局處單位每年都有職員來提出性騷擾案件的申訴
transcript.whisperx[498].start 13487.345
transcript.whisperx[498].end 13504.515
transcript.whisperx[498].text 所以確實我們對於申訴的調查我們需要引進外部的專業人力來協助那我們勞動部在去年提出了這個性三法調查人才庫的要點嘛去年要點提出來了那我比較好奇的是針對我們這些專業人員我們要進行培訓對不對他雖然有所專業但來了我們還是需要培訓我們培訓的時數究竟是多少時數因為你們沒有寫在要點裡面
transcript.whisperx[499].start 13514.97
transcript.whisperx[499].end 13528.296
transcript.whisperx[499].text 實術,你們已經辦了10場以上培訓900多人,我們要培訓實術多少?12到24小時,是12還是24小時?不同,就是針對不同的人才他可能實術會不一樣
transcript.whisperx[500].start 13529.606
transcript.whisperx[500].end 13544.555
transcript.whisperx[500].text 有可能會不同,對不對?這個不只是我們勞動部有這樣的人才庫的培訓其他部會也有,包括衛福部、包括教育部有沒有去了解過我們其他部會針對這樣子性騷調查的人才培訓我們的時數是多少?有沒有去了解過?
transcript.whisperx[501].start 13551.375
transcript.whisperx[501].end 13564.173
transcript.whisperx[501].text 衛福部信騷調查人才培訓十二小時教育部時數有分四階段課程加起來兩週以上
transcript.whisperx[502].start 13566.416
transcript.whisperx[502].end 13586.169
transcript.whisperx[502].text 這個時數就增加了很多了那我認為啦針對我們這個人才培訓的時數因為時數的基本規範你其實除了課程的內容深度以外其實它讓我們有一定的標準例如說你12跟24這是兩倍的差距那我認為我們是不是去了解一下其他部會
transcript.whisperx[503].start 13587.13
transcript.whisperx[503].end 13608.809
transcript.whisperx[503].text 其他部會都已經是進行的時間比你們還久了你們是去年新上路的所以我們可以去了解一下在15、第一線究竟多少時數才是充足的讓我們這些人才未來協助這很重要因為一些性騷事件的調查申訴案的調查我們的培訓一定要充足確保這些人才具有充分
transcript.whisperx[504].start 13609.769
transcript.whisperx[504].end 13635.939
transcript.whisperx[504].text 專業的培訓,才能夠來協助我們做完備的性騷案件的申訴、調查。」好不好?所以我們了解一下,若有必要,就我了解所知,其實很多民間是反映這個時數是不夠的。若有必要,我們就趕快來調整,並且應該要明定地顯入要點。那第二個是,針對這些協助我們來做性騷、申訴案件調查的人員,倘若他不適任,我們有沒有退場機制?有。
transcript.whisperx[505].start 13638.922
transcript.whisperx[505].end 13643.974
transcript.whisperx[505].text 衛生福利部、教育部、教育部及職業道德之培訓策進
transcript.whisperx[506].start 13648.206
transcript.whisperx[506].end 13676.605
transcript.whisperx[506].text 我們目前勞動部的要點他如果有涉及這個性侵、性騷案件、性霸凌我們就會解除他這個調查員的資格,對不對?一樣這個衛福部跟教育部過去的要點裡面也都已經實行上路了例如說在衛福部的這個退場機制裡面這些人員他倘若涉及了兒少性剝削他倘若涉及了妨害性隱私、不實行影像罪
transcript.whisperx[507].start 13677.786
transcript.whisperx[507].end 13700.52
transcript.whisperx[507].text 等涉及耕燒法,都是屬於不適任的。」他如果有涉及這些行為,他當然不適合來做我們性燒申訴案件的調查。那勞動部你們在要點裡面沒有列入耳燒性剝削、防範性隱私等等,那如果說他有涉及耳燒性剝削,這樣的人適合來協助我們做性燒案件的申訴調查嗎?部長。不適合。
transcript.whisperx[508].start 13702.321
transcript.whisperx[508].end 13706.222
transcript.whisperx[508].text 不適合嗎?所以我認為我們這個要點也是該修的趕快去把它變得更完備好不好?那最後一點時間是秘書長我不需要跟你提醒因為我注意到你們現在提出了這個彈性、育嬰留庭5到7天要示範要上路嘛對不對?
transcript.whisperx[509].start 13720.463
transcript.whisperx[509].end 13737.081
transcript.whisperx[509].text 第一個,我認為5到7天,就實務來說,不夠。第二個,在你們事辦計畫裡面,以目前的計畫,是要僱主有來提出才進行事辦,對不對?倘若僱主沒有來提出,我們的這個勞工就沒有彈性孕育下的事辦的可能性了。
transcript.whisperx[510].start 13737.887
transcript.whisperx[510].end 13762.324
transcript.whisperx[510].text 那如果僱主不提出,就沒有辦法彈性運營價,那我們不需要勞動部了所以我希望我們勞動部還是要趕快去研議我們有八成的受僱者,五成的企業都支持彈性運營價應該要以日或小時來計算我希望我們勞動部趕快來研議這個方案讓我們的這個事辦計畫上路的時候是真的可以讓我們的這些受僱者可以受惠好不好好,謝謝
transcript.whisperx[511].start 13765.922
transcript.whisperx[511].end 13770.787
transcript.whisperx[511].text 好,謝謝接下來我們請洪森和委員進行質詢請許部長好,請許部長洪委員好
transcript.whisperx[512].start 13788.052
transcript.whisperx[512].end 13814.898
transcript.whisperx[512].text 部長去年在11月的時候我質詢陳院長有向陳院長和部長也有在我們有討論這個關於照顧不離職的議題那後來部長其實也把這個議題交給部長來研議部長知不知道為什麼一定要在有行政院的院長在的時候要跟他提出這個問題知不知道為什麼希望院這邊能夠支持然後來推動
transcript.whisperx[513].start 13815.595
transcript.whisperx[513].end 13829.112
transcript.whisperx[513].text 因為我也同意照顧不離職這個問題其實不是單單勞動部自己的政策照顧不離職這個問題當然也涉及到一些企業相關制度上面工時安排的等等的問題
transcript.whisperx[514].start 13830.297
transcript.whisperx[514].end 13854.764
transcript.whisperx[514].text 這可能會有跨部會的部分但部長這個尤其是當初我們提出這個質詢的時候是因為很清楚台灣有33萬名的女性其實為了照顧家人而必須退職甚至是離開職場所以當初其實不管是成員長或部長其實都承認我們的制度跟職場其實對需要照顧家人的勞工很不友善所以讓要照顧他為了要照顧家人他不得不
transcript.whisperx[515].start 13856.345
transcript.whisperx[515].end 13873.759
transcript.whisperx[515].text 離職甚至離職以後就回不來了這就是這33萬女性勞動力消失的很重要的原因甚至我們進行了國際的比較但部長你那時候答應我說一個月內會盤點問題去瞭解目前制度漏接了誰然後並且針對這些盤點
transcript.whisperx[516].start 13876.196
transcript.whisperx[516].end 13901.772
transcript.whisperx[516].text 來提出一個方案給行政院,希望行政院可以支持。可是部長,四個月過去了,請問勞動部有去盤點問題嗎?部長,勞動部有去盤點問題嗎?有。有去了解制度到底漏接了誰嗎?有把政策建議給行政院嗎?部長有嗎?
transcript.whisperx[517].start 13903.052
transcript.whisperx[517].end 13911.708
transcript.whisperx[517].text 就是有我看這個有給委員部長我看到了我看到那份文件了但如果你仔細看那份文件
transcript.whisperx[518].start 13912.591
transcript.whisperx[518].end 13937.303
transcript.whisperx[518].text 你就很清楚的看到在這份文件上面沒有盤點問題只是在回覆說因為衛福部為了因應超高齡社會所以已經提供了長照服務了家庭照顧者所以已經可以放心投入勞動職場了勞工自己也可以選擇彈性工時和日拖日照服務了不需因照顧離職影響家庭收入這是這一份報告上面的內容部長你同意嗎
transcript.whisperx[519].start 13938.283
transcript.whisperx[519].end 13944.168
transcript.whisperx[519].text 我是請你們去盤點問題,結果你回了一格跟我說現在沒有問題,部長你同意嗎?當初我是請你們盤點問題給行政院,如果行政院不了解問題的話,你們告訴行政院問題在哪裡?在提供它你們的政策建議是什麼?希望能夠獲得行政院或者是我們經建部門的支持
transcript.whisperx[520].start 13963.9
transcript.whisperx[520].end 13980.971
transcript.whisperx[520].text 你告訴我都沒有問題,沒有問題那就不用改啊!如果這麼好就不用改啊!部長這是我要跟你講的第一件事情再來我要跟你說最近勞動部推出的事辦彈性預計將預計五月實施
transcript.whisperx[521].start 13983.533
transcript.whisperx[521].end 13997.676
transcript.whisperx[521].text 許部長你應該知道我其實是可以接受先求有再求好的人可是我必須說現在的這個計劃真的沒有辦法解決勞工就業不離職的問題甚至有可能衍生更多的問題部長知不知道為什麼我這樣說我跟部長說第一個為什麼需要僱主提交事辦計劃書為什麼要僱主提交事辦計劃書為什麼
transcript.whisperx[522].start 14015.188
transcript.whisperx[522].end 14030.864
transcript.whisperx[522].text 我們是希望說他如果來呼應這個計畫看他能做到什麼程度啦因為這個還是要雇主部長現在在這個計畫裡面我們看到的狀況是第一個對於企業對於雇主毫無誘因你們完全沒有放任何的誘因在這個計畫裡面
transcript.whisperx[523].start 14033.237
transcript.whisperx[523].end 14052.555
transcript.whisperx[523].text 第一個沒有誘因第二個雇主還要自己再提一個計劃書今天假設他忙於他的生意他忙於他的企業他還要自己再提一個計劃書而且毫無誘因他完全沒有任何好處在這裡面他為什麼要去提這件事情所以你反而製造了他想去做這件事情的門檻跟成本而且你沒有給任何誘因所以最有可能的結果是什麼
transcript.whisperx[524].start 14059.025
transcript.whisperx[524].end 14074.494
transcript.whisperx[524].text 許部長我覺得最後可能結果就是很少的企業很少的雇主願意來填寫這個計劃書因為他沒有誘因最後你們就回報給委員回報給立法院說你看都沒有企業有彈性誘因價的需求我覺得這最後很可能的狀況是這樣啊
transcript.whisperx[525].start 14079.793
transcript.whisperx[525].end 14101.676
transcript.whisperx[525].text 所以這是為什麼我要跟你說這個彈性育嫁制度坦白說就我看起來我認為很有問題我們是當初最倡議照顧不離職彈性育嫁制度的委員之一但目前的這個方案第一個他很可能運作不起來為什麼沒有設計鼓勵誘因沒有我們沒有在裡面看到
transcript.whisperx[526].start 14103.274
transcript.whisperx[526].end 14132.297
transcript.whisperx[526].text 所以如果到時候運作不起來的時候到底是因為真正的雇主跟勞工沒有這個需求還是因為我們制度設計不良?部長,可以回答一下嗎?高委員,因為我想我們這個事辦計畫主要是要了解看企業到時候在運作上有沒有什麼困難那當然你剛剛有講的說可能會造成負擔或者是造成一個障礙這個部分我是覺得我們可以在
transcript.whisperx[527].start 14133.839
transcript.whisperx[527].end 14151.798
transcript.whisperx[527].text 至少你要求企業配合至少你希望企業一起來跟進這個政策跟這個理念我覺得這很好但為什麼這裡面毫無鼓勵跟誘因的機制這個部分其實我們會來再看看誘因部分來怎麼來設計但是我要跟委員講我們有先跟這些相關的團體其實我們跟他們
transcript.whisperx[528].start 14154.361
transcript.whisperx[528].end 14174.038
transcript.whisperx[528].text 有說明過也有溝通過也希望他們能夠我現在說到就是這些當初在倡議這些團體目前對於現在這個方案是很不滿意的是覺得問題很多的是覺得這很可能在這個事辦計畫裡面會運作不起來甚至最後就被以說那就沒有需求來一筆帶過的我現在講的是企業團體
transcript.whisperx[529].start 14176.82
transcript.whisperx[529].end 14196.153
transcript.whisperx[529].text 我的意思是說因為我有對象包括我們自己公部門我也請他們來幫忙參與這個計畫然後譬如說包括這些工商團體我們也幾個比較重要工商團體也請他們來是但是部長但我跟你說其實對這些團體來說你弄一個這樣的他就說好那反正我就不去申請就不干我的事嘛
transcript.whisperx[530].start 14197.796
transcript.whisperx[530].end 14218.064
transcript.whisperx[530].text 你說你要提一個計劃書那他就好啊你就提但是他就不來申請已經在詢問了是但是我現在說的事情是說這個目前事辦計劃的設計在誘因的機制上面或相關門檻上面我覺得真的很多部分並不恰當是不是請部長能夠再重新檢討一下這樣子的內容
transcript.whisperx[531].start 14220.441
transcript.whisperx[531].end 14247.538
transcript.whisperx[531].text 不然我很擔心這反而不符合理念。我是覺得這樣,因為這是一個示範計畫,如果真的有問題,我們隨時都可以檢討。當然,難道示範計畫能夠精進就不精進嗎?對啊,所以我的意思是說,如果示範計畫有空間可以精進,明明我們看到有空間可以精進,但卻不精進嗎?難道只是因為它是一個示範計畫,我就可以隨隨便便嗎?我的意思是說,就是因為示範計畫,所以有問題我們馬上可以來做,包括你剛剛委員在提說,
transcript.whisperx[532].start 14249
transcript.whisperx[532].end 14266.058
transcript.whisperx[532].text 這個這個誘因啊或者說這個是不是現在5月才要開始現在還有兩個月的時間其實你就可以把這示範計畫弄得再完整規劃的再完整一點再讓他上路到時候示範計畫反映的才會是整體社會有沒有需求正確的資訊而不會因為現在可能我們在計劃規劃設計機制的不恰當或不周全
transcript.whisperx[533].start 14271.523
transcript.whisperx[533].end 14295.112
transcript.whisperx[533].text 反而造成你們想要去了解資訊上面的困難跟阻礙。」我的問題是這個事情所以我們希望在事辦計畫再正式上路即便它是事辦計畫都應該再調整一次再重新規劃一下它的內容我們讓它好好的規劃好再讓它上路好不好好謝謝黃委員也請部長再跟委員持續溝通因為我們時間的關係接下來我們請牛許廷委員進行諮詢
transcript.whisperx[534].start 14303.359
transcript.whisperx[534].end 14305.565
transcript.whisperx[534].text 好,謝謝主席,這個勞動部長跟那個衛福部長有請好來,部長跟次長請
transcript.whisperx[535].start 14315.543
transcript.whisperx[535].end 14341.457
transcript.whisperx[535].text 委員好好辛苦了這個我們就廢話不多說我們就直接進入主題這個保母孽嬰案可以說是一粒老鼠屎壞了一鍋粥這本期當然主張個案要重罰那當然現在從中央到地方各級政府也會這個提供一些補救的措施跟預防未來這樣狀況在上演當然本期今天要藉這樣東西去提醒一下新的措施也許針對個案可以有效預防
transcript.whisperx[536].start 14341.997
transcript.whisperx[536].end 14359.533
transcript.whisperx[536].text 但是我們也要考量這些措施會不會造成整個產業跟從業人員的問題提高以至於讓更多的幼托人員不太敢投入這個產業的門檻就好像社工的問題一樣所以我想先請問一下你們的報告裡面有寫這個112年我們辦理托育人員訓練有2316人取得資格請問他們實際投入產業的人數跟比例是多少?
transcript.whisperx[537].start 14367.444
transcript.whisperx[537].end 14385.174
transcript.whisperx[537].text 取得資格是在技術證這個部分嗎?你們報告寫說你們提供的訓練他們想上完課應該是取得的技術證嗎?現在是哪一個數字?訓練的部分。我們的報告裡面是提到有多少人員受訓
transcript.whisperx[538].start 14389.108
transcript.whisperx[538].end 14412.156
transcript.whisperx[538].text 勞動部的報告,第三頁,112年暨訓練2316人目前的就業率在追蹤當中不過去年111年的時候我們的就業率,訓後就業率是76%是111,那112的部分我們目前還在追蹤這部分我就先請勞動部提供相關的資料
transcript.whisperx[539].start 14413.856
transcript.whisperx[539].end 14435.441
transcript.whisperx[539].text 我除了關心他們的成功授訓跟成功投入從業的比例之外我也關心年齡比例啊因為這個授訓應該是不會開放嘛你總不會限制年輕人才能參加對不對那很多是所謂的二度就業或者是怎麼樣才能參加對不對那我要知道他的年齡比例所以我希望勞動部會有提供詳細的資料來做一個報告第二個我要去談這件事的原因就是因為我們現在發現的狀況
transcript.whisperx[540].start 14437.381
transcript.whisperx[540].end 14466.676
transcript.whisperx[540].text 新人進不來現在全台灣一共有27134名保姆其中50歲以上的佔總人數六成以上也就是說在接下來十幾年裡面可能會有16000多名保姆陸續退休因為即便他是二度就業我們就是讓他發揮他的價值可是年紀跟健康的因素那是不等人的那相對來講如果我們新人沒有補上的話未來還是會有很大的托育缺口會影響我們的托育品質對不對所以要提這件事那為什麼就本期在基層的了解
transcript.whisperx[541].start 14467.196
transcript.whisperx[541].end 14484.479
transcript.whisperx[541].text 很多人在基層是進不來的尤其是年輕的從業人員恐怕不太願意去做幼托人員的工作原因是什麼?我以公共化的保姆為例啊這個勞動部也好、衛福部也好你知道這個在桃園啊大概一個參與準公共化的保姆啊在一般服務的品質、量能之下他的收入大概是多少錢嗎?
transcript.whisperx[542].start 14486.994
transcript.whisperx[542].end 14514.73
transcript.whisperx[542].text 收幾個孩子原則上收兩個啦因為你收多了其實大家就擔心品質對不對收少了好像也不太那個就收兩個那個其實是大家專家評估最適合的人數嘛那是三萬塊以上嘛三萬塊以上你都講以上但我告訴你就是三萬或三萬二吧因為按照你參加準公共的話他的薪資其實是有天花板的對不對那請問喔保姆在從事幼托工作的時候他中間吃飯能休息嗎食物上能休息嗎
transcript.whisperx[543].start 14517.222
transcript.whisperx[543].end 14536.189
transcript.whisperx[543].text 應該是不能吧?對不對?大家就是這個是常識嘛所以他們以正常收拖的時間來講其實一天是不是工作十個小時?因為理論上大家講早八晚五中午中間休息算工作八小時可是他的工作特性不能休息嘛所以是十個小時對不對?一到五對不對?禮拜一到禮拜五每天十個小時你知道這樣換算下來他們的平均時薪是多少錢嗎?
transcript.whisperx[544].start 14537.917
transcript.whisperx[544].end 14564.725
transcript.whisperx[544].text 勞動部長也要聽一下很重要喔我換算給你聽你3萬塊拖兩個3萬塊一天工作10小時5天來算平均時薪150塊勞動部長我們的勞基法的最低薪資是多少錢27470一個小時一個小時183對不對那這樣換算下來它的平均時薪其實低於勞基法的待遇嘛那即便說你政策上有很多的補貼方案但是總體來講這個環境是低薪我能理解你如果把薪水拉得很高
transcript.whisperx[545].start 14565.685
transcript.whisperx[545].end 14589.639
transcript.whisperx[545].text 評價托育的政策精神又不見了對不對所以大家都不太敢談這件事情但尤其是在這件事情發生之後我就要談這事啊如果我們的產業環境依然是低薪然後新人進不來的時候我跟你講這個未來的漏洞會越來越大因為我們期待的狀況是人數要夠多、基數要做大嘛你基數要做大大家都願意投入這個產業的時候競爭才會激烈嘛你競爭激烈的時候你的品質才會提升嘛
transcript.whisperx[546].start 14590.459
transcript.whisperx[546].end 14618.735
transcript.whisperx[546].text 這樣才比較健康,那你才能用正常的市場去汰除不適合的保姆啊可是現在狀況是新人進不來,薪水太差,然後那這個你就沒有一股力量去汰除拐瓜裂棗,然後從而間接的導致這樣的悲劇發生這本期今天要強調的重點那我現在就問針對這樣的問題,保姆低薪的問題你如何再繼續兼顧準公共化,不要給家長太多負擔但是又能夠改善這個從業環境的情況之下檢測衛福部跟勞動部的處置措施是什麼
transcript.whisperx[547].start 14621.02
transcript.whisperx[547].end 14647.545
transcript.whisperx[547].text 因為這個保姆可能要跟委員再釐清就是說我們的那個托育人員有分在居家有機構的、在職的我現在講總共購號的保姆啦因為現在這個從業比例很高嘛兩萬多93%嘛居家嘛對那居家這個部分我們本來就有一些獎勵的措施所以我們在這次之前的一個修訂的時候就是如果它經過縣市政府的平衡我們會有一個額外的一個一萬兩千元的一個
transcript.whisperx[548].start 14650.866
transcript.whisperx[548].end 14663.843
transcript.whisperx[548].text 協助他改善相關...每個月一萬二還是一年一萬二?一年先一萬二。好,你一年一萬二,你攤下來你看加薪多少錢?是。你算起來有超過基本薪資嗎?我跟你講還是沒有啦。既然要做,就直接大手筆的去改善產業體質。
transcript.whisperx[549].start 14665.444
transcript.whisperx[549].end 14690.371
transcript.whisperx[549].text 既然要說補社會安全網就花資源、花預算用中央的方式去補中間的差額你是不是會比較讓又多人願意覺得說做這個工作有尊嚴然後待遇也好、願意發展你才有辦法把這個餅做大嘛對不對,衛福部你應該不會反對這樣說法嘛好,一樣齁,相關的這些我們剛剛提的問題會不會還是要請提供詳細的書面資料勞動部長也很重要這是你們兩個跨部會的事情請注意他們的勞動待遇可以嗎好,謝謝謝謝好,謝謝牛許廷委員
transcript.whisperx[550].start 14694.741
transcript.whisperx[550].end 14696.362
transcript.whisperx[550].text 接下來我們請張雅玲委員進行諮詢。
transcript.whisperx[551].start 14725.776
transcript.whisperx[551].end 14748.906
transcript.whisperx[551].text 好,那我們有請部長,勞動部長,謝謝。好,來,請許部長。部長好。張委員好。我想請教就是說,因為性平三法在3月8號上路了嘛,但是,那這個我覺得是一個非常重要的一個法齁,那,就是我想特別針對於有關於性騷擾的部分齁,就是說,我們其實這裡面也有頒布了
transcript.whisperx[552].start 14749.766
transcript.whisperx[552].end 14764.911
transcript.whisperx[552].text 這個3月7號頒布了這個職場性騷擾申訴處理指導手冊來給我們企業做一個性騷擾的防治指引那這本手冊其實等大家等得非常久但是我發現我們3月8號上路3月7號手冊才出來那這樣企業準備好了嗎
transcript.whisperx[553].start 14767.392
transcript.whisperx[553].end 14779.196
transcript.whisperx[553].text 報告委員因為其實這個法通過以後其實很多執法的手冊其實要花一點時間所以我們也趕在上路之前把它完成但是完成之後我們要繼續宣導輔導我們這個會持續來做
transcript.whisperx[554].start 14782.677
transcript.whisperx[554].end 14805.596
transcript.whisperx[554].text 我想了解就是說因為有查到112年的時候我們其實總共做了23場的法令說明會然後三場的勞政人員培訓那我想要知道到底有多少人出席因為我們在到2022年的統計我們全台灣符合這個30人以上的企業總共有三萬五千家這樣子23場夠嗎那接下來的規劃是什麼那現在已經有詳細的規劃了嗎
transcript.whisperx[555].start 14808.615
transcript.whisperx[555].end 14823.183
transcript.whisperx[555].text 今年我們就是會持續來宣導因為這個法令修改的幅度蠻大的所以現在已經有這些規劃關於今年要持續的去推動了嗎?可不可以告訴我今年的規劃大概是什麼?
transcript.whisperx[556].start 14825.356
transcript.whisperx[556].end 14847.789
transcript.whisperx[556].text 一到四月我們是排25場對下半年還會有好那沒關係時間有限接下來把那些詳細的具體的宣導部分提供給我們辦公室那再來第二部分我想要知道這個指引手冊裡面有沒有告訴企業要如何的去保護受害者有沒有清楚的去做這些指引有這些方向來協助企業的有有都有這個在
transcript.whisperx[557].start 14854.569
transcript.whisperx[557].end 14856.575
transcript.whisperx[557].text 職、對,在手冊裡面都有是嗎?對,都有。都有,好喔。
transcript.whisperx[558].start 14861.673
transcript.whisperx[558].end 14887.59
transcript.whisperx[558].text 你看像這個知悉性三法處理流程然後這邊就會說好沒關係那我們再來看最後一個地方想要請教就是說因為這個人才資料庫的更新的頻率到底是怎麼樣因為過去在學校這些性平的調查的時候也會有遇到可能專家在裡面的這個專家的遇到一些性平的概念沒有與時俱進所以這些調查人員的人才資料庫大概是多久會更新一次
transcript.whisperx[559].start 14890.071
transcript.whisperx[559].end 14911.676
transcript.whisperx[559].text 我們現在因為剛建制嘛我們現在主要是把人才建制出來那大概會有一個預估是什麼時候會來遲遲的更新嗎?就是說我們現在人才庫我們有新的我們馬上就會增加進去但是也有那種可能不適任的也會有退場這個都隨時應該會隨時更新吧這個我們應該是隨時都會隨時更新對對
transcript.whisperx[560].start 14917.557
transcript.whisperx[560].end 14940.075
transcript.whisperx[560].text 隨時更新。」好喔那再來就是說我關於企業托育這個部分齁因為在大型企業100人以上我們是需要提供這些托育設施喔那看到這一份文件裡面其實在去年的七指天下也有討、也有詢問過家長喔他們其實是非常希望的喔所以就是說接下來我們就要來詢問一下我們現在其實在企業托育的狀況之下只有還有三成沒有提供任何的托育設施
transcript.whisperx[561].start 14940.936
transcript.whisperx[561].end 14956.656
transcript.whisperx[561].text 那他們主要是說就第一個可能就是沒有預算沒有空間或是員工其實是自行住家他們是非常的分散的那我認為就是因為之前政府也有提供預算的補貼所以這個還有也有說如果不是在
transcript.whisperx[562].start 14958.177
transcript.whisperx[562].end 14975.784
transcript.whisperx[562].text 沒有空間的話你也可以在1公里以內去提供這個空間所以我認為這都不是理由那我想知道這部分從許部長上任以來到現在也已經5年多了我們有沒有更積極的方式可以來push這些企業去提供相關的育兒措施、托育的服務呢
transcript.whisperx[563].start 14978.497
transcript.whisperx[563].end 14988.329
transcript.whisperx[563].text 這個部分當然我們也就是盡量來鼓勵企業我想一定要有些不是鼓勵的啦我們應該有個積極的一些措施啊因為其實已經5年了還有對我們其實也會辦一些企業的觀摩讓他們去看看
transcript.whisperx[564].start 14994.376
transcript.whisperx[564].end 15016.632
transcript.whisperx[564].text 別人可以怎麼做,來讓他們也有這個意願來跟進。」因為有時候這個部分有時候有它的困難點,譬如說它空間真的如果沒有的話,你一秒它設置也真的有困難點。但是我們也有提到是可以一公里以內你可以去找嗎?委外的部分也有,我們是不是可以鼓勵企業也可以提供相關的一些津貼?這個都有啊。
transcript.whisperx[565].start 15018.673
transcript.whisperx[565].end 15040.026
transcript.whisperx[565].text 他如果他如果送托這個我們有給他補貼對可是我們這個我們這個進展的福利率其實是有點低因為我們跟去年比起我們才增加2%好我們在這麼多年努力下來就曾經5但已經5年了4年了就成長5%我們有沒有辦法再更積極的去推動呢因素人都要有可能少子化所以這個齁
transcript.whisperx[566].start 15041.365
transcript.whisperx[566].end 15044.806
transcript.whisperx[566].text 衛生福利部、教育部、教育部及職業道德之培訓策進
transcript.whisperx[567].start 15088.15
transcript.whisperx[567].end 15089.931
transcript.whisperx[567].text 好,主席。各位請部長。好,請許部長。
transcript.whisperx[568].start 15096.909
transcript.whisperx[568].end 15120.255
transcript.whisperx[568].text 政委好部長好就業服務法第46條為因國家重要建設工程或經濟社會發展需要經中央主管機關指定之工作可以僱主可以聘僱外國人到中華民國境內從事這個相關的工作這個是去年的一個報導然後這個勞動部在
transcript.whisperx[569].start 15124.959
transcript.whisperx[569].end 15130.186
transcript.whisperx[569].text 去年3月6日召開勞動部跨國勞動力政策協商諮詢小組第36次會議
transcript.whisperx[570].start 15134.774
transcript.whisperx[570].end 15159.655
transcript.whisperx[570].text 這裡面特別原則同意營造業引進營造移工採階段性先行開放總額8000名並視實際情形可增加到開放1.5萬名合配比例為30%請問一下這個已經實施了嗎?什麼時候實施了?實施了
transcript.whisperx[571].start 15162.376
transcript.whisperx[571].end 15174.082
transcript.whisperx[571].text 講一下幾年幾月要列入紀錄什麼時候實施幾年幾月我看一下去年十月十月增加到一萬五
transcript.whisperx[572].start 15175.477
transcript.whisperx[572].end 15197.986
transcript.whisperx[572].text 去年十月增加到一萬五,現在全部合併?直接就一萬五?兩階段,六月是先八千,然後到十月已經就是到一萬五,然後這個是營建署來他們做分配。我知道這個部分,這個
transcript.whisperx[573].start 15202.052
transcript.whisperx[573].end 15213.528
transcript.whisperx[573].text 對於這個《外國人從事就業服務法》第46條第一項第8款至第11款工作資格及審查標準這個你們在112年10月13號做了修正
transcript.whisperx[574].start 15217.403
transcript.whisperx[574].end 15233.901
transcript.whisperx[574].text 那原來的在最早是93年1月13號定定發布的你們不僅把這個人數相關的規定做了人數然後也把這個金額金額也做了這個修正
transcript.whisperx[575].start 15235.762
transcript.whisperx[575].end 15263.697
transcript.whisperx[575].text 本來是以前的2億跟現在的2億差很多所以這個部分也做一再的放寬然後從這8年來總共修了18次這塊修正這塊是8年來不到8年現在還不到8年從蔡總統上任到現在修了18次
transcript.whisperx[576].start 15266.34
transcript.whisperx[576].end 15286.53
transcript.whisperx[576].text 報告委員因為這個在營造業尤其是公共工程方面缺工很嚴重這個都是經過工程會他們有召集相關部會提案評估之後才做一些調整但是我們原住民的失業率依然很高
transcript.whisperx[577].start 15288.041
transcript.whisperx[577].end 15308.779
transcript.whisperx[577].text 蔡中榮說要保障上望新的工作機會政府要負擔保障原住民就業之責然後要獎勵私部門參與所以這個部分一直開放一直開放然後原住民的失業率並沒有改善
transcript.whisperx[578].start 15309.875
transcript.whisperx[578].end 15329.08
transcript.whisperx[578].text 報告委員原住民同朋友的失業率是有降勒我知道我知道但是還是改善到跟一般失業率是差不多沒有什麼太大的差別那個部長我都清楚了那個我們現在原住民是3.52國人的平均是3.48不到3.52了我都查過了然後這個統計資料這個審查標準本來第19條規定
transcript.whisperx[579].start 15340.236
transcript.whisperx[579].end 15368.522
transcript.whisperx[579].text 每禁用員僱主已取得初次招募許可後每禁用員住民一人得申請引進外國人兩個人本來有這樣的一個保障的規定如果他沒有禁用的話就應該他就要去繳錢給我們也沒有關係我們有就業基金或是你的就業安定基金但是這個都刪除了
transcript.whisperx[580].start 15370.481
transcript.whisperx[580].end 15399.173
transcript.whisperx[580].text 如果說我們的失業率都已經比一般的完全一樣的話事實上不是還是有差距嗎?還是有落差嗎?還是有差距?完全把我們禁用的那個都刪除了就業服務法24條都形同西紋了就業服務法24條說要保障原住民的就業現在完全
transcript.whisperx[581].start 15400.441
transcript.whisperx[581].end 15425.676
transcript.whisperx[581].text 忽視了這個。」所以這個問題我本席在4月12號質詢過部長部長說要回去跟研民會討論結果討論的結果全部都是空話完全沒有辦法解決原住民的一樣我們畢竟失業率還是有錯差不是比較好
transcript.whisperx[582].start 15426.903
transcript.whisperx[582].end 15452.215
transcript.whisperx[582].text 就好啦!還是有落差啊!報告委員,我們那個政策小組其實也有我們原民會的代表意思是說他們同意是不是?他們沒有表達反對的意見啦但是我代表名義上次已經表達了您在關注他就是我們原住民朋友的就業機會還有一些工作保障這個我們會推動方案來把它落實啦這個部長
transcript.whisperx[583].start 15453.878
transcript.whisperx[583].end 15475.535
transcript.whisperx[583].text 這個部分這樣的回答,你的含負,你含負了沒有錯,等於是完全沒有含負,所以這個部分還是要請這個勞動部能夠重視,以上。好,謝謝鄭委員。接下來我們請謝一鳳、謝一鳳、謝一鳳委員不在、張家俊、張家俊、張家俊委員不在,我們請范雲委員進行質詢。
transcript.whisperx[584].start 15484.353
transcript.whisperx[584].end 15503.741
transcript.whisperx[584].text 好,謝謝昭緯那待會要請部長但是也請昭緯謝謝昭緯辦今天這個跟性別平等有關的部分那可不可以跟我們傅坤祺總召講一下因為我要求修改立法院行為法的回應親自送我的版本給他那希望我們第一大黨可以支持
transcript.whisperx[585].start 15504.541
transcript.whisperx[585].end 15531.767
transcript.whisperx[585].text 因為根據我們MeToo之後的三法性騷擾防治法中場所的主人應該訂定行為人的懲處的部分那立法院就算不是我們的雇主也是場所的主人嘛本來就應該依照性騷擾法的規定訂定在這個場所性騷擾的就是這個所謂的加害人的懲處可是那個目前就是看起來沒有任何的回應所以請那個召委幫忙請傅坤祺總召回應一下好嗎
transcript.whisperx[586].start 15533.7
transcript.whisperx[586].end 15533.861
transcript.whisperx[586].text 部長有請
transcript.whisperx[587].start 15543.068
transcript.whisperx[587].end 15562.592
transcript.whisperx[587].text 範圍好部長午安我想今天大家都很關心性平三法的修正我也跟勞動部開過會包含就是細項的部分要請你們處理這部分因為今天時間有限我就不再細講好不好之前勞動部答應的部分如何輔導企業跟這個謀合期我會繼續監督
transcript.whisperx[588].start 15566.073
transcript.whisperx[588].end 15586.89
transcript.whisperx[588].text 那再來我想今天剛剛包含洪森和委員好像好幾位委員都反應過你們5月要試辦的彈性育嬰假有蠻多問題的我想請問那個部長部長您在那個選舉期間有沒有看過我們三位總統候選人的婦女跟性別相關的證件您有看過嗎
transcript.whisperx[589].start 15590.185
transcript.whisperx[589].end 15592.167
transcript.whisperx[589].text 請問您知不知道?有。
transcript.whisperx[590].start 15615.3
transcript.whisperx[590].end 15641.67
transcript.whisperx[590].text 有知道所以我雖然肯定您知道這個事然後有推這個部分可是目前你們規劃出來這個5月要執行的方案說實在的讓大家據說是擔心跟有點失望不知道我們部長曉不曉得我們長期推動這個議題的民間團體是哪一兩個您知道嗎
transcript.whisperx[591].start 15647.735
transcript.whisperx[591].end 15659.422
transcript.whisperx[591].text 負女心之跟其他的婦女團體,可是你們在設計的過程有找這些長期推動的團體來討論,然後最後方案出來的時候,他們知道是設計成這樣嗎?
transcript.whisperx[592].start 15666.659
transcript.whisperx[592].end 15678.022
transcript.whisperx[592].text 我請部長回答因為這是賴清德未來的總統重要的政見跟勞動部有關的之前我記得我們有找過跟相關團體有開過會但是後來你們這個草案出來的時候他們並不知道長成這樣跟他們想像很不一樣的
transcript.whisperx[593].start 15685.424
transcript.whisperx[593].end 15700.854
transcript.whisperx[593].text 因為包含那個林淑芬委員有上一任我們就提案了我們其實這個是這樣就是說我們先示範然後如果能夠做的部分影響比較小先往前推然後看看有一些回饋回來我們可以做日後可能要
transcript.whisperx[594].start 15701.534
transcript.whisperx[594].end 15725.08
transcript.whisperx[594].text 做進一步的往前推展的一個參考。我知道部長您的好意是說先求有再求好可是你若一開始就設計錯了就不好用了對不對他就會成效不彰事辦結果成效不彰就會讓他被覺得是個不好的政策所以一開始我們先不要講剛剛洪委員有講過缺乏誘因了
transcript.whisperx[595].start 15725.76
transcript.whisperx[595].end 15752.427
transcript.whisperx[595].text 限制你這邊限制至少5天或7天然後自己又說但是也得一次一天那可是呢像我跟林淑芬委員我們上一屆就提出來的就是蠻多團體主張應該以小時為單位比如說你如果接送小孩可能是對企業來講可能也是比較好的他知道他每天4點鐘可以提早下班也許影響是比較小的可是你完全沒有開放這種方案
transcript.whisperx[596].start 15752.967
transcript.whisperx[596].end 15753.507
transcript.whisperx[596].text 那你把故事們﹗
transcript.whisperx[597].start 15768.493
transcript.whisperx[597].end 15785.809
transcript.whisperx[597].text 那現在就是比例給可是你又用小時的話但是小時五個兩小時也是十小時它的小時不是說我一次請兩小時而是說我固定比如說禮拜一到禮拜五我都四點鐘下班可以接送小孩就是在小孩幾歲前
transcript.whisperx[598].start 15786.61
transcript.whisperx[598].end 15808.365
transcript.whisperx[598].text 是這個意思就是說不是像請試駕一樣當然那樣子的機會可能是比較小的但是如果要預先請的話應該是這樣規劃那我想這個限制過多沒有足夠的彈性價的彈性加上沒有配套跟看不到完整規劃委員我們現在是這樣這個有一些做法示範它其實是說
transcript.whisperx[599].start 15809.486
transcript.whisperx[599].end 15825.07
transcript.whisperx[599].text 做一個我們收集意見,而且從實務上來瞭解問題,務實瞭解問題所在。有時候企業你要去鼓勵他亂看看嘛,如果說之後看他們的回饋,怎麼樣可以做未來修法呢?
transcript.whisperx[600].start 15829.272
transcript.whisperx[600].end 15848.611
transcript.whisperx[600].text 這個部分當然因為這是一個新的計畫那你說誘因這個部分我們再來想想看但是我的意思是說我們現在是先鼓勵包括公部門自己來帶頭做起也包括一些工商團體 不好意思部長因為時間到了剛剛我的臨時提案裡面已經包含這幾項都要檢討了
transcript.whisperx[601].start 15849.412
transcript.whisperx[601].end 15864.365
transcript.whisperx[601].text 所以現在其實您是沒有理由只有延長就是說截止的時間這個我尊重就是那個司長的意見就是那個部分修正所以其實都要檢討包含就是請你們主推的公民團體針對你們五月上路的方案也要在開會檢討好不好那我是希望一個
transcript.whisperx[602].start 15872.912
transcript.whisperx[602].end 15894.355
transcript.whisperx[602].text 好的議題不要因為你們的設計的不夠有彈性不夠好最後出現讓大家不想看到的結果然後變成是一個失敗的政策好不好那也請部長會實行我們剛通過的零食跨黨派通過零食提案然後我也會監督這個部分好謝謝部長好謝謝接下來我們請陳培宇委員進行質詢
transcript.whisperx[603].start 15899.327
transcript.whisperx[603].end 15906.453
transcript.whisperx[603].text 好,謝謝主席,那有請勞動部還有衛福部,謝謝。好,請部長跟次長。好,部長辛苦了。好,是,部長我相信這個之前這個賴總統的0到6歲國家一起養,您一定非常熟悉,不管520之後您在不在,但是我們都要說,其實大家對於0到6這個概念大家非常的期待,非常多國家政策希望可以往前跟進,我們來看一下。
transcript.whisperx[604].start 15928.731
transcript.whisperx[604].end 15940.385
transcript.whisperx[604].text 支持育兒減少工時或調整時間的措施有沒有機會放寬到6歲?目前的性工法規定是未滿3歲子女得向雇主請求相關條件。」
transcript.whisperx[605].start 15944.926
transcript.whisperx[605].end 15971.774
transcript.whisperx[605].text 部長點頭,那我們來問一下為什麼是到6歲放寬我們大家期待的想像是什麼我們回到這個兒少法裡面來看兒少法規定未滿6歲的小孩不得單獨讓他獨自在家也就是如果家長有這個托育上的需求他就要往外尋求支持可是如果有機會放寬0到6去修這個性工法有沒有機會讓更多的家長他有這個可能性我們來看一下目前
transcript.whisperx[606].start 15973.26
transcript.whisperx[606].end 15979.403
transcript.whisperx[606].text 中華電信在2021還是22年的時候已經有相關的規定跟辦法說元旦起養0到6歲小孩提早下班不扣錢我們有沒有機會先從跨部會的國營機構事業開始事半推行我們之前看過相關的報導他們說會有輪班的問題會有其他排班的問題可是如果摒除掉這些因素有沒有機會從國營機構這邊先開始
transcript.whisperx[607].start 15999.827
transcript.whisperx[607].end 16019.476
transcript.whisperx[607].text 部長點頭再想我們可以就是我們如果國營事業可以帶頭做起當然我們樂觀其成對那有沒有機會有勞動部來發起這個跨部位的會議讓更多國營機構願意積極的跟進當然很多輪班啊現場工作狀況我們都可以全面的考慮跟盤點可是讓這個政策先從國營事業開始有沒有機會可以啦這個我們可以來齁那我們有沒有機會三個月內看到相關的研議會議開始展開然後相關的討論
transcript.whisperx[608].start 16028.757
transcript.whisperx[608].end 16054.547
transcript.whisperx[608].text 三個月內我們來找他們開會三個月內我們來找他們開會我覺得這件事情非常重要當然我們更希望是中小企業也有這個可能性不過因為之前部長也說到中小企業有非常多複雜的因素需要考量我們就先從國營事業來開始第二個我們來看一下最近托育人員這個事情我相信部長你一定有很多的關懷我們來看一下根據衛福部社家屬一一年這邊是先請勞動部請回謝謝
transcript.whisperx[609].start 16057.591
transcript.whisperx[609].end 16078.482
transcript.whisperx[609].text 根據衛福部社家屬在110年的研究案說109年托育事故以及虐嬰案件成因分析研究裡面說根據這個裡面很多調查就建議要安排什麼樣的課程呢?包含自我認識的課程、情緒調節的課程提供心理諮商或者是輕職諮商的資源課程
transcript.whisperx[610].start 16080.763
transcript.whisperx[610].end 16092.525
transcript.whisperx[610].text 那我們來全面性的檢討托育人員的管理機制我們發現其實我們根本沒有足夠的心理支援的支持給第一線的托育人員不知道這個部分你們怎麼看?
transcript.whisperx[611].start 16093.84
transcript.whisperx[611].end 16100.223
transcript.whisperx[611].text 目前我們這些課程其實在他們的在職訓練裡面都有已經有我們來看一下在職訓練好既然次長都講到在職訓練我們來看一下目前各個地方的托育居家托育服務中心他們會辦活動性質、交流性質讓這些托育人員彼此有一些交流的經驗跟分享經驗當然還有一些DIY的活動我們都沒有說這些活動有什麼問題可是我們期待看到這個在職訓練發生了什麼問題
transcript.whisperx[612].start 16122.072
transcript.whisperx[612].end 16147.488
transcript.whisperx[612].text 這個我們發現相關的托育人員在職訓練課程實施計畫裡面你們開了一些規劃給地方政府作為參考你們的規劃有九個課程的類別規定每一年基本時數是18個小時然後三年內要完成九種課程每一種至少三個小時那相關的情緒課程就看到這些對不對可是我們發現一個很大的問題次長跟你分享一下我們以台北市為例
transcript.whisperx[613].start 16149.008
transcript.whisperx[613].end 16167.714
transcript.whisperx[613].text 一百一十三年他們根據你們的課程指引開出來的課程整個課程呢從今年的四月到十月他們預計開一百一十八堂課程三百五十四個小時的在職訓練課表可是有多少小時是放在促進身心、社會健康呢答案是零
transcript.whisperx[614].start 16169.983
transcript.whisperx[614].end 16186.609
transcript.whisperx[614].text 以台北來說,他們完全沒有意識到這個課程的配置是重要的,在你們的指引當中有,可是他們完全沒有,就連今年到此時此刻我們調出來的資料,我們甚且發現有些縣市他連課程都沒有上網公告
transcript.whisperx[615].start 16187.609
transcript.whisperx[615].end 16205.692
transcript.whisperx[615].text 我們都還來不及需要更多課程資訊,這個部分次長您可不可以有所回應?好,這個部分我們會來要求地方政府,因為我們的規定都寫得非常清楚,是要幾個面向都要兼顧到。幾個面向,就是我剛剛說的九大類,對嗎?可是他們完全就忽略身心、社會、健康零,這是台北市。
transcript.whisperx[616].start 16206.593
transcript.whisperx[616].end 16214.316
transcript.whisperx[616].text 好,那但是因為他們課表已經開出來了有機會再請他們調整嗎?可以再請他們加開啊好,但是我要說我們沒有要針對臺北市我們希望衛福部統一盤點全臺灣各個縣市政府他們在開相關的課程如果他們的訴求是說他們沒有足夠的講師沒有足夠的資源也要拜託衛福部主動積極提供好嗎?好,沒問題好,那這個部分三個月內可不可以一個月內跟我們相關的報告一個月內因為快速問他們他們課程應該都已經開出來了好嗎?
transcript.whisperx[617].start 16235.703
transcript.whisperx[617].end 16252.633
transcript.whisperx[617].text 好,謝謝次長,謝謝主席,謝謝。好,謝謝陳北宇委員。接下來我們請游皓、游皓、游皓委員不在。徐欣盈、徐欣盈、徐欣盈委員不在。張祺凱、張祺凱、張祺凱委員不在。王洪威、王洪威、王洪威委員不在。陳盈、陳盈、陳盈委員請上臺質詢。
transcript.whisperx[618].start 16266.298
transcript.whisperx[618].end 16267.719
transcript.whisperx[618].text 好 謝謝美麗的主席我們先請這個勞動部自稱沒有背景但是卻很努力認真靠自己這個實力身上師長的這個調評師黃師長
transcript.whisperx[619].start 16290.954
transcript.whisperx[619].end 16297.784
transcript.whisperx[619].text 還有好像很久很久還是歷年來都沒有被叫上台被詢過的法務司司長
transcript.whisperx[620].start 16310.425
transcript.whisperx[620].end 16324.459
transcript.whisperx[620].text 對啦他本來是副副司長那現在是副司長勞動的法務司是不是對你要勞動法務司那就是副司長所以你現在是正的不是副的嗎
transcript.whisperx[621].start 16326.237
transcript.whisperx[621].end 16340.678
transcript.whisperx[621].text 對,所以是正的副司長。好,OK,好,兩位好,我想今天就這個性別平等工作法修訂以來實施的這個成效,好,來,我們今天在這邊跟兩位討教一下。
transcript.whisperx[622].start 16341.919
transcript.whisperx[622].end 16362.123
transcript.whisperx[622].text 首先本期想要反映一下民眾的疑惑就是在這部法案其實是在很短的時間就修訂通過了而且法律名稱也有修改先請教法務司司長平等法跟工作法有什麼法律上的差別其實實質內涵是一樣的
transcript.whisperx[623].start 16370.063
transcript.whisperx[623].end 16395.49
transcript.whisperx[623].text 好十字內一樣所以你這樣講好像名稱不是很重要好那我這樣問好那我再請教一個問題那除了性別工作平等法以外是否還有其他的工作法我在問法務司司長法案名稱上面有工作法的目前勞動部只有這一部那全部呢全部
transcript.whisperx[624].start 16398.277
transcript.whisperx[624].end 16412.1
transcript.whisperx[624].text 你還沒有知道有沒有其他的工作坊應該有像是什麼你覺得應該哪裡有也許國家情報
transcript.whisperx[625].start 16413.862
transcript.whisperx[625].end 16432.198
transcript.whisperx[625].text 我幫你查好了因為我們也是翻遍了所有的法律也是只有看到這個國家情報工作法而已那法案有沒有修訂這個第一條的這個立法精神你剛剛好像有講就是
transcript.whisperx[626].start 16433.839
transcript.whisperx[626].end 16446.166
transcript.whisperx[626].text 對第一條沒有啊就是實質上面性別平等還是一樣好就是內容就是那個立法精神也沒有改嗎你剛剛也講都是一樣那我再請教你那為什麼要改名稱
transcript.whisperx[627].start 16448.109
transcript.whisperx[627].end 16465.375
transcript.whisperx[627].text 當時在行政院討論法案名稱的時候是因為教育部叫做性別平等教育法這個我們有猜對我們想說可能是你們是仿效這個教育部的那個性別平等教育法所以改成了工作法但是你們有沒有注意到說這樣一改其實就有一點
transcript.whisperx[628].start 16467.415
transcript.whisperx[628].end 16493.142
transcript.whisperx[628].text 好我這樣問好了你有沒有覺得這個這樣會亂的這個法序的問題有沒有一點亂掉三部法律在處理的時候對於大家的適用次序還有適用範圍當時行政院有做過很嚴謹的討論所以在第一條的那個部分還有第二條的適用範圍其實都有處理對你有講行政院行政院但是因為你在勞動部
transcript.whisperx[629].start 16495.904
transcript.whisperx[629].end 16499.828
transcript.whisperx[629].text 法務司 行政院也會聽你們的意見嗎?
transcript.whisperx[630].start 16515.166
transcript.whisperx[630].end 16532.443
transcript.whisperx[630].text 所以司長你可以再跟部長好好討論一下那本席有一個小小的建議就是說這個法案名稱我們如果把它稱作職場性別平等法是不是更為恰當大家可以去
transcript.whisperx[631].start 16533.884
transcript.whisperx[631].end 16562.302
transcript.whisperx[631].text 再討論一下嘛因為我不知道行政院內部的所謂嚴謹討論是是什麼樣的狀態但是我想就我們這邊也是嚴謹的討論然後給予這樣的建議你們再想想我看到有人在點頭了好像還不錯這個因為工作法本其實覺得說他比較難以凸顯這部法案的重點在於平等那沒有平等
transcript.whisperx[632].start 16563.603
transcript.whisperx[632].end 16570.747
transcript.whisperx[632].text 而只有強調工作,就會讓雇主覺得是一個需要額外應付的工作,對於國家進步、人權保障反而是不利的。」接下來我再請教調評師黃司長
transcript.whisperx[633].start 16585.002
transcript.whisperx[633].end 16603.274
transcript.whisperx[633].text 我們看了一下這個各個條文其實規範的他不是不只是性別其實性傾向我認為是更是應該這部法案要被關切的一個重點那同性戀在這個職場上會不會被歧視你們有關切過嗎
transcript.whisperx[634].start 16604.838
transcript.whisperx[634].end 16621.625
transcript.whisperx[634].text 這個部分的話它是也是屬於我們的性別歧視的範圍之內那所以說同性之間如果是因為同性的那個性別然後來做歧視或者說性騷擾的部分這個法它其實都有含括這個法都有含括適用
transcript.whisperx[635].start 16622.486
transcript.whisperx[635].end 16648.281
transcript.whisperx[635].text 好那我再請教齁因為數字會講話啦那個你們的性騷擾通報系統有沒有包括性傾向受到歧視的通報有沒有也就是說同系列的這個性別平等的權益有沒有在這部法案受到這部工作法的保護在申訴案件的那個那個分類上面是有把它列出來是一個單獨的相冊有分類出來齁是那
transcript.whisperx[636].start 16652.455
transcript.whisperx[636].end 16666.012
transcript.whisperx[636].text 所以在這個通報的個案當中你有沒有看到有沒有屬於這個同性別的性騷擾呢?在我們過往的個案是有的
transcript.whisperx[637].start 16667.701
transcript.whisperx[637].end 16690.118
transcript.whisperx[637].text 過往的個案但是在地方的審議上面來講以往的規定的話大概處理的是性別在幾件裡面看到幾件是這樣的案例案例它比例上在所有性別的事件裡面它的比例是比較沒有像一般的我們異性之間尤其是男性對女性的部分來講沒有那麼多
transcript.whisperx[638].start 16691.084
transcript.whisperx[638].end 16714.972
transcript.whisperx[638].text 好我等一下會因為這邊有看到數字嘛你看從105年到112年將近這個89年快10年的時間通報是七件喔你要跟我從七件裡面算比例我也是很好奇你怎麼算好沒關係你們建立的這個專家人才資料庫有沒有什麼評選的基準
transcript.whisperx[639].start 16716.713
transcript.whisperx[639].end 16744.844
transcript.whisperx[639].text 專家人才資料庫大概有四類型的人員那一類的話是由律師公會來推薦的那個律師那有意願的那第二類的話是地方的性評會還有就期會裡面的已經擔任過的委員那經過地方推薦過的那還有一個是縣市府推薦過來的那個相關的NGO團體還有意願的那還有一個的話就是有就現在已經有的衛福部、教育部的人才庫裡面
transcript.whisperx[640].start 16745.845
transcript.whisperx[640].end 16752.52
transcript.whisperx[640].text 勞他有意願的人來參訊。所以聽起來有意願是一個非常重要的考量點。
transcript.whisperx[641].start 16753.672
transcript.whisperx[641].end 16779.494
transcript.whisperx[641].text 是,因為將來他的資料要放在我們的人才庫裡面大家聽到了意願意願意願那我想要問的是他們的專業度是不是足以處理同性別在性傾向歧視及性騷擾的這個上面的問題就是說這樣的能力因為我一直聽到你注重他們的意願但是我都沒有聽到你很注重他們的在這方面的能力
transcript.whisperx[642].start 16780.742
transcript.whisperx[642].end 16801.711
transcript.whisperx[642].text 好所以因為我是從這個剛剛的統計數據要不要回去看一下那個好剛剛那一張就是在所有過去通報的七件這麼多年的七件好你們就是這些這些你們所謂的專家人才處理的對於這七件的這個通報處理的怎麼樣
transcript.whisperx[643].start 16803.554
transcript.whisperx[643].end 16819.894
transcript.whisperx[643].text 那你覺得說所有通報的管道都很暢通嗎?畢竟這這麼多年來只有7件這個部分的話我們會加強那也跟我們報告那你覺得7件你相信只有7件嗎?我相信實際的數字應該會比這個高那你覺得7件合理嗎?
transcript.whisperx[644].start 16821.276
transcript.whisperx[644].end 16840.257
transcript.whisperx[644].text 這麼多年來只有七件你覺得合理嗎?七件的話是因為我們之前的這個設計的制度包括性三法的申訴等等那這些的話大概讓民眾覺得不放心沒有出來去申訴所以你在其實就是這個管道上你們其實有意識到有一些問題嗎?
transcript.whisperx[645].start 16841.018
transcript.whisperx[645].end 16867.555
transcript.whisperx[645].text 是,所以在這個今年大概新校三百……好,那我更明確的問你齁,你們有沒有定期統計分析通報,就是分析通報案例的這個特性跟趨勢,有沒有?我們大概做那統計的部分的話就有做一些分析。對,那特性跟趨勢你們有分析嗎?目前看到的話是在就業歧視的部分還是會有一些,但是已經慢慢的大家意識到……所以特性跟趨勢,你……
transcript.whisperx[646].start 16870.067
transcript.whisperx[646].end 16896.085
transcript.whisperx[646].text 其實的部分的話是比較有改善那那個性三法部分因為這去年以來當然有一個me too的事好那我再問你我再問好了那你有沒有性別平等方面的指標可以顯示說勞動部的勞動部主管的這部法案好的實施成效相關的部分的話我們目前的統計在現有的統計的話就是各個案件的申訴的這個部分
transcript.whisperx[647].start 16897.199
transcript.whisperx[647].end 16924.902
transcript.whisperx[647].text 申訴的部分和處理的部分那你覺得案例數越多是越能代表就是代表越有成效還是說案例數越少越好報告委員他的案例數的話會有時間和階段性的變化比如說我們這三法修正以後他短期間有可能在性騷擾的案件或者說我們開一個可以收在外面的話有外部單位收件的這樣的一個
transcript.whisperx[648].start 16925.723
transcript.whisperx[648].end 16938.037
transcript.whisperx[648].text 的這個事件,它短期會高,但是這個高的話也代表大家意識出來,可是這個高過以後,這個高峰應該它應該下降下來才是一個正常的情況。好,我想是這樣子啦,因為畢竟從105年到112年全部
transcript.whisperx[649].start 16942.862
transcript.whisperx[649].end 16957.977
transcript.whisperx[649].text 竟然將近十年只發生七件。」我覺得這數字是一個非常詭異的數字那我是不知道說你們的申訴管道不太暢通還是說你們過去的成效太好那我提出這樣的質疑
transcript.whisperx[650].start 16958.857
transcript.whisperx[650].end 16978.753
transcript.whisperx[650].text 性別平等的內涵在職場工作上本是只有性騷擾及育嬰停留,這只是最基本的性傾向的尊重及教育也應該同時被重視及宣導勞動部目前本期比較看不出來有這樣的關注
transcript.whisperx[651].start 16980.914
transcript.whisperx[651].end 17006.609
transcript.whisperx[651].text 所以這是我今天提出質詢的目的那我也希望說這部法案的施行那可以定期發佈相關的統計數據然後而且讓這些數據可以建立良好的指標那透過這些指標呢就可以凸顯我們台灣在性別平等保護的這個進步那成為真正這個顯示台灣尊重多元性別的價值那這個法案不是只有單純說去規範僱主的或者是職權騷擾的這個處理而已那
transcript.whisperx[652].start 17010.011
transcript.whisperx[652].end 17033.461
transcript.whisperx[652].text 但是我最後還是要謝謝勞動部部長也帶領兩位司長跟其他同仁的努力那希望這個未來因為有這部法案的施行也可以讓全世界知道說我們台灣在這個尊重職場性別平等的進步然後凸顯我們台灣人權法制的這個進步跟價值謝謝委員
transcript.whisperx[653].start 17034.758
transcript.whisperx[653].end 17039.64
transcript.whisperx[653].text 好,謝謝陳瑩委員接下來我們請楊耀委員進行質詢謝謝主席主席我先請一下許部長好,來請許部長楊委員好部長好
transcript.whisperx[654].start 17061.803
transcript.whisperx[654].end 17085.968
transcript.whisperx[654].text 部長我們在職場的性平三法正式上路以後呢就是保護、輔助、入法保護、輔助、入法那各界都期盼可以接觸性騷擾的被害人因為受性騷擾的被害人其實是很必須要保護的一群人
transcript.whisperx[655].start 17090.23
transcript.whisperx[655].end 17110.245
transcript.whisperx[655].text 以性別平等工作法來看就是各地方政府才是主管機關對,他們是主要執行機關可是呢地方政府的財政跟醫療量能狀況都不一樣我請問一下有沒有辦法督促地方政府
transcript.whisperx[656].start 17112.984
transcript.whisperx[656].end 17120.879
transcript.whisperx[656].text 然後而且我們也可以掌握保護服務措施怎麼規劃整體的諮詢醫療還有心理諮詢的建置進度
transcript.whisperx[657].start 17125.697
transcript.whisperx[657].end 17144.955
transcript.whisperx[657].text 我們其實之前已經有請各地方政府他要去鏈接他相關的這些醫療、社福等等包括法律相關的資源來讓被害人能夠運用因為我們也特別勞動部有訂定一個補助地方政府辦理工作場所新造防治業務計畫
transcript.whisperx[658].start 17146.877
transcript.whisperx[658].end 17165.662
transcript.whisperx[658].text 有計劃?有沒有預算?他錢就是我來給他那這樣子就是說因為剛開始可能地方政府他可能經費上沒有編所以我們為了要讓他能夠提供被害人最完善的一個支持所以這個錢就是由我勞動部這邊來編計劃給他們
transcript.whisperx[659].start 17170.307
transcript.whisperx[659].end 17189.241
transcript.whisperx[659].text 有沒有要求地方政府在一定的期限內盤整各項資源並且建立統一的窗口?統一窗口有嗎?是單一窗口?有,有,對。我們目前,像澎湖縣政府跟我們報告,澎湖縣政府我們現在補助他人力
transcript.whisperx[660].start 17190.64
transcript.whisperx[660].end 17193.041
transcript.whisperx[660].text 二、邀請衛生福利部、教育部、教育部及職業道德之培訓策進
transcript.whisperx[661].start 17209.05
transcript.whisperx[661].end 17237.84
transcript.whisperx[661].text 幾乎他提來我全部補對因為我們修法的目的就是要讓法律可以執行因為我這個事情我就是非常重視我就當時候就跟部裡面講說我們先部裡面一定要編經費來支持那個地方政府來執行因為做口供的是他們對啦他也要給被害人一些協助那經費的部分我們盡量能夠支持就支持
transcript.whisperx[662].start 17239.668
transcript.whisperx[662].end 17264.982
transcript.whisperx[662].text 謝謝部長,然後也跟部長講一下就是其實罪寇綱也不只地方政府,其實從中央到地方我們要建置一個完善的職場我是說中央跟地方一起合作那當然我剛剛聽到人事費用就給了近百萬沒有人確實就是這很多事情執行不了
transcript.whisperx[663].start 17266.283
transcript.whisperx[663].end 17272.047
transcript.whisperx[663].text 好 謝謝部長主席我再請一下李次長好 請李次長委員好次長好次長上個禮拜我們衛福部有針對出養兒童遭虐致死案召集了雙北市政府
transcript.whisperx[664].start 17294.771
transcript.whisperx[664].end 17309.41
transcript.whisperx[664].text 進行會議。會後有八點的精進作為。大方向來看,我就是初步來看,精進的作為多數都是要求地方政府
transcript.whisperx[665].start 17311.406
transcript.whisperx[665].end 17337.937
transcript.whisperx[665].text 經濟現有的措施但是地方政府其實在執行上一定會有困難的難處我相信衛福部這邊很清楚在社工的人力跟資源還沒有緩解的情況下經濟作為只會讓現有的人力的工作量更大
transcript.whisperx[666].start 17339.875
transcript.whisperx[666].end 17367.138
transcript.whisperx[666].text 那正常的情況呢量大你要要求質好這個是不可能的大家不用在這邊講很好聽的話就是說工作量大了你要要求他的工作的產值很好質量很好這個不可能那我想要請教一下次長就是
transcript.whisperx[667].start 17368.427
transcript.whisperx[667].end 17394.928
transcript.whisperx[667].text 到底要怎麼做才能夠精進地方政府跟中央政府合作解決系統性的問題?跟委員報告就是我們這一次的一個轉變就是說過去受促養就是所有的工作都交給民間團體去做那現在就是說其實依這個案來講他本來就是在我們社福中心的脆弱家庭
transcript.whisperx[668].start 17395.458
transcript.whisperx[668].end 17415.838
transcript.whisperx[668].text 在服務的案案子。」所以其實我們是希望就是說那個縣市政府應該去了解說一個孩子要被出養的這樣的一個情況其實他就應該是符合我們脆弱家庭的一個定義那我們應該就回到社安網裡面的社福中心要進行退家的一個服務
transcript.whisperx[669].start 17416.38
transcript.whisperx[669].end 17440.648
transcript.whisperx[669].text 然後如果真的要安置的話也要縣市政府來承擔這樣一個安置的一個工作那如果要經費的話不足的部分我們中央也承諾會來補助那我們會再請縣市政府再去盤一下就是說那因為這樣子出養童所所需要的人力是不是需要增加因為其實目前在全國的
transcript.whisperx[670].start 17441.129
transcript.whisperx[670].end 17464.308
transcript.whisperx[670].text 出養要等待出養的孩子其實大概是400多人那其實大部分的已經都在我們的保護系統跟委託案制的系統裡面其實是少數在媒合機構不是不是市長你現在講的是聚焦在這一次的事件我講的是說我不到
transcript.whisperx[671].start 17466.345
transcript.whisperx[671].end 17495.415
transcript.whisperx[671].text 你們這個是指專對這個個案嗎?不是嗎?以後大概精進的方向是這樣子嗎?所以還是會回到源頭啦所以你社工的人力不增加社工的待遇不增加我其實對這個對這一方面的議題我已經有一點膩了啦就是說我在這個委員會第13年大概幾乎每幾乎
transcript.whisperx[672].start 17497.177
transcript.whisperx[672].end 17518.969
transcript.whisperx[672].text 最常討論到的就是社工的薪資跟人力社工負擔了那麼大的那麼重要的社會角色可是我們因為薪資的問題所以造成人力的不足
transcript.whisperx[673].start 17520.902
transcript.whisperx[673].end 17544.544
transcript.whisperx[673].text 那這個社會安全網的架構我在看社會安全網其實就是社工安全網所以我們幾乎把很多工作全部都是遇到問題就檢討社工那我們又不去替真正的問題又不願意去面對
transcript.whisperx[674].start 17546.904
transcript.whisperx[674].end 17568.976
transcript.whisperx[674].text 跟委員報告就是說如果是社工分公部門的社工跟民間的社工那我們公部門的社工其實在這次社安網裡面就是都用聘用的方式以前可能還是臨時人力的方式現在在社安網裡面都是用聘用那它的職等其實它跟公務人員的
transcript.whisperx[675].start 17570.198
transcript.whisperx[675].end 17570.559
transcript.whisperx[675].text 職等及薪資
transcript.whisperx[676].start 17584.868
transcript.whisperx[676].end 17607.76
transcript.whisperx[676].text 行政院爭取說我們還是要這樣設計我也不覺得高過正式的公務人員有什麼問題所以我們這一次的社安網公部門就其實那個在聘用已經有一些是高過公部門那在民間的補助的社工我們在今年其實也跟行政院爭取說也在今年就調薪了8.16所以就是說一畢業的社工
transcript.whisperx[677].start 17612.802
transcript.whisperx[677].end 17615.246
transcript.whisperx[677].text 他的出任的薪資是到了3萬
transcript.whisperx[678].start 17617.016
transcript.whisperx[678].end 17641.214
transcript.whisperx[678].text 7.7千多,然後還有一些佳績。」市長因為我時間到了我這樣子講就是說薪資除了可以對於想要投入社工行業的人有一個強烈的誘因以外相對的也代表他的社會地位我一直覺得現在就是
transcript.whisperx[679].start 17643.996
transcript.whisperx[679].end 17659.584
transcript.whisperx[679].text 社工的社會地位不夠崇高。」理論上像我們長期在衛環我們就覺得社工是一份很值得尊敬的工作可是你沒有用適度的
transcript.whisperx[680].start 17660.624
transcript.whisperx[680].end 17661.766
transcript.whisperx[680].text 公部門應用適度的方法讓他得到應有的社會地位
transcript.whisperx[681].start 17677.166
transcript.whisperx[681].end 17703.879
transcript.whisperx[681].text 一定是非常重要這個社會福利的推動一定要靠我們社工夥伴一起來努力那我最後也只能再問一個問題就是說像這一次我不講這個社工本身到底有沒有什麼失誤這個不談就是說因為他被上了手銬總是對於整體社工界
transcript.whisperx[682].start 17705.1
transcript.whisperx[682].end 17716.067
transcript.whisperx[682].text 的士氣是一件很大的打擊。」是。你們怎麼對社工界產生對話?好。其實我們看到
transcript.whisperx[683].start 17717.046
transcript.whisperx[683].end 17719.508
transcript.whisperx[683].text 全體社會福利及職業道德之培訓策進 全體社會福利及職業道德之培訓策進
transcript.whisperx[684].start 17736.953
transcript.whisperx[684].end 17760.355
transcript.whisperx[684].text 單一社工。」我們也不覺得所有的責任都應該社工來扛我們要檢討的是系統的一個問題那今天我們也這個相關的抗上手銬這個部分我們的警政署這邊也有做了一些檢討那我們這一次委員應該知道我們這次有五大工會來我們衛福部進行一些訴求
transcript.whisperx[685].start 17761.141
transcript.whisperx[685].end 17790.278
transcript.whisperx[685].text 那他們也特別提到就是說社工的個資還是這些受虐兒童的個資那這個部分我們也會在最近的行政院的那個社安網的溝通平台會議也會提正式的提案我們會希望各部會能夠一起來重視這樣一個問題因為有些可能是跟媒體有關係的那這個部分我們會請各部會一起來重視然後看未來怎麼樣子在報導還有在媒體自律這個部分能夠做什麼樣一個努力
transcript.whisperx[686].start 17790.578
transcript.whisperx[686].end 17806.521
transcript.whisperx[686].text 我覺得應該這麼講就是說單一事件到底有沒有犯錯違法這個是一件事不過整體媒體披露出來的確實對於社工的士氣打擊很大這個請
transcript.whisperx[687].start 17818.364
transcript.whisperx[687].end 17831.668
transcript.whisperx[687].text 請市長就是盡可能的讓社工的工作熱情可以回來然後讓他們
transcript.whisperx[688].start 17834.889
transcript.whisperx[688].end 17854.355
transcript.whisperx[688].text 讓更多一點的人願意投入我們也必須要在制度的設計上給予適當的待遇特別是我特別反對就是遇到事情增加工作量可是不增加人力那這樣子的話問題就會不斷的產生這部分我們都會一併來做檢討
transcript.whisperx[689].start 17861.557
transcript.whisperx[689].end 17880.86
transcript.whisperx[689].text 所以我們在訪視的那個部分,我們本來就會再找專家學者跟縣市政府一起來討論。謝謝主席。接下來我們請黃建豪、黃建豪、黃建豪委員不在、何新淳、何新淳、何新淳委員不在。
transcript.whisperx[690].start 17883.871
transcript.whisperx[690].end 17897.031
transcript.whisperx[690].text 本日會議詢答全部結束委員楊耀、王宏威、張祺凱、邱振鈞所提書面質詢列入記錄刊登公報現在做以下決定一、報告及詢答完畢二、委員質詢即位
transcript.whisperx[691].start 17899.574
transcript.whisperx[691].end 17915.463
transcript.whisperx[691].text 委員質詢未及答覆或請補充資料者請相關機關於兩週內以書面答覆委員令要求期限者從其鎖定本日會議到此結束現在休息星期四上午9點繼續開會
transcript.whisperx[692].start 17931.699
transcript.whisperx[692].end 17932.439
transcript.whisperx[692].text 有限職場、職員職員職員職員職員職員職員職員職員職員職員職員職員職員職員