iVOD / 17307

Field Value
IVOD_ID 17307
IVOD_URL https://ivod.ly.gov.tw/Play/Full/1M/17307
日期 2026-03-27
會議資料.會議代碼 院會-11-5-5
會議資料.會議代碼:str 第11屆第5會期第5次會議
會議資料.屆 11
會議資料.會期 5
會議資料.會次 5
會議資料.種類 院會
會議資料.標題 第11屆第5會期第5次會議
影片種類 Full
開始時間 2026-03-27T08:32:43+08:00
結束時間 2026-03-27T16:31:00+08:00
影片長度 07:58:17
支援功能[0] ai-transcript
video_url https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/8398b1826590a60902c6d25d8e33c5c8bc85bd070859401e44e0a145e6cc6f0f3a6d1f3b4207303e5ea18f28b6918d91.mp4/playlist.m3u8
會議時間 2026-03-27T09:00:00+08:00
會議名稱 第11屆第5會期第5次會議(事由:一、對行政院院長提出施政方針及施政報告繼續質詢。二、3月27日上午9時至10時為國是論壇時間。三、3月31日下午2時15分至2時30分為處理臨時提案時間。)
委員名稱 完整會議
委員發言時間 08:32:43 - 16:31:00
transcript.pyannote[0].speaker SPEAKER_03
transcript.pyannote[0].start 489.86159375
transcript.pyannote[0].end 492.08909375
transcript.pyannote[1].speaker SPEAKER_03
transcript.pyannote[1].start 492.29159375
transcript.pyannote[1].end 495.81846875
transcript.pyannote[2].speaker SPEAKER_03
transcript.pyannote[2].start 497.55659375
transcript.pyannote[2].end 500.30721875
transcript.pyannote[3].speaker SPEAKER_03
transcript.pyannote[3].start 501.37034375
transcript.pyannote[3].end 503.29409375
transcript.pyannote[4].speaker SPEAKER_25
transcript.pyannote[4].start 503.29409375
transcript.pyannote[4].end 503.66534375
transcript.pyannote[5].speaker SPEAKER_03
transcript.pyannote[5].start 503.80034375
transcript.pyannote[5].end 503.96909375
transcript.pyannote[6].speaker SPEAKER_25
transcript.pyannote[6].start 503.96909375
transcript.pyannote[6].end 504.52596875
transcript.pyannote[7].speaker SPEAKER_25
transcript.pyannote[7].start 505.18409375
transcript.pyannote[7].end 505.70721875
transcript.pyannote[8].speaker SPEAKER_25
transcript.pyannote[8].start 505.94346875
transcript.pyannote[8].end 506.70284375
transcript.pyannote[9].speaker SPEAKER_22
transcript.pyannote[9].start 574.96221875
transcript.pyannote[9].end 575.02971875
transcript.pyannote[10].speaker SPEAKER_22
transcript.pyannote[10].start 749.83784375
transcript.pyannote[10].end 751.12034375
transcript.pyannote[11].speaker SPEAKER_22
transcript.pyannote[11].start 765.46409375
transcript.pyannote[11].end 766.17284375
transcript.pyannote[12].speaker SPEAKER_22
transcript.pyannote[12].start 774.17159375
transcript.pyannote[12].end 783.40221875
transcript.pyannote[13].speaker SPEAKER_14
transcript.pyannote[13].start 789.30846875
transcript.pyannote[13].end 790.03409375
transcript.pyannote[14].speaker SPEAKER_22
transcript.pyannote[14].start 790.50659375
transcript.pyannote[14].end 790.60784375
transcript.pyannote[15].speaker SPEAKER_22
transcript.pyannote[15].start 806.45346875
transcript.pyannote[15].end 808.03971875
transcript.pyannote[16].speaker SPEAKER_22
transcript.pyannote[16].start 808.64721875
transcript.pyannote[16].end 810.09846875
transcript.pyannote[17].speaker SPEAKER_22
transcript.pyannote[17].start 810.50346875
transcript.pyannote[17].end 812.98409375
transcript.pyannote[18].speaker SPEAKER_27
transcript.pyannote[18].start 814.13159375
transcript.pyannote[18].end 817.89471875
transcript.pyannote[19].speaker SPEAKER_27
transcript.pyannote[19].start 818.72159375
transcript.pyannote[19].end 818.95784375
transcript.pyannote[20].speaker SPEAKER_27
transcript.pyannote[20].start 819.39659375
transcript.pyannote[20].end 820.37534375
transcript.pyannote[21].speaker SPEAKER_22
transcript.pyannote[21].start 821.55659375
transcript.pyannote[21].end 823.27784375
transcript.pyannote[22].speaker SPEAKER_22
transcript.pyannote[22].start 823.41284375
transcript.pyannote[22].end 823.96971875
transcript.pyannote[23].speaker SPEAKER_14
transcript.pyannote[23].start 823.96971875
transcript.pyannote[23].end 825.03284375
transcript.pyannote[24].speaker SPEAKER_09
transcript.pyannote[24].start 825.03284375
transcript.pyannote[24].end 827.93534375
transcript.pyannote[25].speaker SPEAKER_12
transcript.pyannote[25].start 828.57659375
transcript.pyannote[25].end 829.21784375
transcript.pyannote[26].speaker SPEAKER_12
transcript.pyannote[26].start 830.38221875
transcript.pyannote[26].end 831.98534375
transcript.pyannote[27].speaker SPEAKER_22
transcript.pyannote[27].start 862.81596875
transcript.pyannote[27].end 863.67659375
transcript.pyannote[28].speaker SPEAKER_11
transcript.pyannote[28].start 864.25034375
transcript.pyannote[28].end 864.28409375
transcript.pyannote[29].speaker SPEAKER_22
transcript.pyannote[29].start 864.87471875
transcript.pyannote[29].end 864.90846875
transcript.pyannote[30].speaker SPEAKER_11
transcript.pyannote[30].start 864.90846875
transcript.pyannote[30].end 865.53284375
transcript.pyannote[31].speaker SPEAKER_11
transcript.pyannote[31].start 866.10659375
transcript.pyannote[31].end 866.71409375
transcript.pyannote[32].speaker SPEAKER_11
transcript.pyannote[32].start 867.28784375
transcript.pyannote[32].end 867.72659375
transcript.pyannote[33].speaker SPEAKER_13
transcript.pyannote[33].start 897.19034375
transcript.pyannote[33].end 899.55284375
transcript.pyannote[34].speaker SPEAKER_12
transcript.pyannote[34].start 902.47221875
transcript.pyannote[34].end 902.53971875
transcript.pyannote[35].speaker SPEAKER_12
transcript.pyannote[35].start 902.69159375
transcript.pyannote[35].end 902.70846875
transcript.pyannote[36].speaker SPEAKER_22
transcript.pyannote[36].start 902.70846875
transcript.pyannote[36].end 903.63659375
transcript.pyannote[37].speaker SPEAKER_22
transcript.pyannote[37].start 903.72096875
transcript.pyannote[37].end 903.83909375
transcript.pyannote[38].speaker SPEAKER_22
transcript.pyannote[38].start 904.14284375
transcript.pyannote[38].end 905.66159375
transcript.pyannote[39].speaker SPEAKER_13
transcript.pyannote[39].start 904.76721875
transcript.pyannote[39].end 905.03721875
transcript.pyannote[40].speaker SPEAKER_13
transcript.pyannote[40].start 905.05409375
transcript.pyannote[40].end 905.27346875
transcript.pyannote[41].speaker SPEAKER_22
transcript.pyannote[41].start 905.98221875
transcript.pyannote[41].end 906.03284375
transcript.pyannote[42].speaker SPEAKER_22
transcript.pyannote[42].start 906.10034375
transcript.pyannote[42].end 907.02846875
transcript.pyannote[43].speaker SPEAKER_14
transcript.pyannote[43].start 906.30284375
transcript.pyannote[43].end 906.38721875
transcript.pyannote[44].speaker SPEAKER_09
transcript.pyannote[44].start 915.06096875
transcript.pyannote[44].end 915.11159375
transcript.pyannote[45].speaker SPEAKER_09
transcript.pyannote[45].start 915.98909375
transcript.pyannote[45].end 917.45721875
transcript.pyannote[46].speaker SPEAKER_09
transcript.pyannote[46].start 919.44846875
transcript.pyannote[46].end 920.68034375
transcript.pyannote[47].speaker SPEAKER_22
transcript.pyannote[47].start 1060.79346875
transcript.pyannote[47].end 1061.40096875
transcript.pyannote[48].speaker SPEAKER_22
transcript.pyannote[48].start 1061.53596875
transcript.pyannote[48].end 1062.29534375
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 1187.10284375
transcript.pyannote[49].end 1187.11971875
transcript.pyannote[50].speaker SPEAKER_13
transcript.pyannote[50].start 1187.11971875
transcript.pyannote[50].end 1187.96346875
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 1187.96346875
transcript.pyannote[51].end 1188.01409375
transcript.pyannote[52].speaker SPEAKER_13
transcript.pyannote[52].start 1192.45221875
transcript.pyannote[52].end 1194.69659375
transcript.pyannote[53].speaker SPEAKER_14
transcript.pyannote[53].start 1194.69659375
transcript.pyannote[53].end 1199.23596875
transcript.pyannote[54].speaker SPEAKER_14
transcript.pyannote[54].start 1199.60721875
transcript.pyannote[54].end 1203.35346875
transcript.pyannote[55].speaker SPEAKER_22
transcript.pyannote[55].start 1520.97471875
transcript.pyannote[55].end 1521.00846875
transcript.pyannote[56].speaker SPEAKER_22
transcript.pyannote[56].start 1521.63284375
transcript.pyannote[56].end 1526.03721875
transcript.pyannote[57].speaker SPEAKER_22
transcript.pyannote[57].start 1549.34159375
transcript.pyannote[57].end 1550.03346875
transcript.pyannote[58].speaker SPEAKER_22
transcript.pyannote[58].start 1592.99721875
transcript.pyannote[58].end 1593.01409375
transcript.pyannote[59].speaker SPEAKER_22
transcript.pyannote[59].start 1596.70971875
transcript.pyannote[59].end 1597.68846875
transcript.pyannote[60].speaker SPEAKER_29
transcript.pyannote[60].start 1929.48471875
transcript.pyannote[60].end 1930.51409375
transcript.pyannote[61].speaker SPEAKER_29
transcript.pyannote[61].start 1931.10471875
transcript.pyannote[61].end 1937.11221875
transcript.pyannote[62].speaker SPEAKER_19
transcript.pyannote[62].start 1947.87846875
transcript.pyannote[62].end 1948.35096875
transcript.pyannote[63].speaker SPEAKER_19
transcript.pyannote[63].start 1948.73909375
transcript.pyannote[63].end 1950.37596875
transcript.pyannote[64].speaker SPEAKER_19
transcript.pyannote[64].start 1950.69659375
transcript.pyannote[64].end 1951.72596875
transcript.pyannote[65].speaker SPEAKER_19
transcript.pyannote[65].start 1952.45159375
transcript.pyannote[65].end 1957.14284375
transcript.pyannote[66].speaker SPEAKER_19
transcript.pyannote[66].start 1957.56471875
transcript.pyannote[66].end 1959.97784375
transcript.pyannote[67].speaker SPEAKER_19
transcript.pyannote[67].start 1960.19721875
transcript.pyannote[67].end 1966.77846875
transcript.pyannote[68].speaker SPEAKER_19
transcript.pyannote[68].start 1967.14971875
transcript.pyannote[68].end 1972.34721875
transcript.pyannote[69].speaker SPEAKER_19
transcript.pyannote[69].start 1972.54971875
transcript.pyannote[69].end 1974.69284375
transcript.pyannote[70].speaker SPEAKER_19
transcript.pyannote[70].start 1975.04721875
transcript.pyannote[70].end 1977.00471875
transcript.pyannote[71].speaker SPEAKER_19
transcript.pyannote[71].start 1977.13971875
transcript.pyannote[71].end 1986.75846875
transcript.pyannote[72].speaker SPEAKER_19
transcript.pyannote[72].start 1987.19721875
transcript.pyannote[72].end 1993.25534375
transcript.pyannote[73].speaker SPEAKER_19
transcript.pyannote[73].start 1993.66034375
transcript.pyannote[73].end 1998.40221875
transcript.pyannote[74].speaker SPEAKER_19
transcript.pyannote[74].start 1998.99284375
transcript.pyannote[74].end 2009.86034375
transcript.pyannote[75].speaker SPEAKER_19
transcript.pyannote[75].start 2010.13034375
transcript.pyannote[75].end 2012.10471875
transcript.pyannote[76].speaker SPEAKER_19
transcript.pyannote[76].start 2012.18909375
transcript.pyannote[76].end 2014.93971875
transcript.pyannote[77].speaker SPEAKER_19
transcript.pyannote[77].start 2015.53034375
transcript.pyannote[77].end 2016.91409375
transcript.pyannote[78].speaker SPEAKER_19
transcript.pyannote[78].start 2017.40346875
transcript.pyannote[78].end 2025.36846875
transcript.pyannote[79].speaker SPEAKER_19
transcript.pyannote[79].start 2025.82409375
transcript.pyannote[79].end 2032.33784375
transcript.pyannote[80].speaker SPEAKER_19
transcript.pyannote[80].start 2032.87784375
transcript.pyannote[80].end 2035.59471875
transcript.pyannote[81].speaker SPEAKER_19
transcript.pyannote[81].start 2035.91534375
transcript.pyannote[81].end 2039.12159375
transcript.pyannote[82].speaker SPEAKER_19
transcript.pyannote[82].start 2039.50971875
transcript.pyannote[82].end 2040.91034375
transcript.pyannote[83].speaker SPEAKER_19
transcript.pyannote[83].start 2041.18034375
transcript.pyannote[83].end 2042.12534375
transcript.pyannote[84].speaker SPEAKER_19
transcript.pyannote[84].start 2042.44596875
transcript.pyannote[84].end 2046.19221875
transcript.pyannote[85].speaker SPEAKER_19
transcript.pyannote[85].start 2046.58034375
transcript.pyannote[85].end 2047.62659375
transcript.pyannote[86].speaker SPEAKER_19
transcript.pyannote[86].start 2047.98096875
transcript.pyannote[86].end 2051.72721875
transcript.pyannote[87].speaker SPEAKER_19
transcript.pyannote[87].start 2052.25034375
transcript.pyannote[87].end 2066.56034375
transcript.pyannote[88].speaker SPEAKER_19
transcript.pyannote[88].start 2067.18471875
transcript.pyannote[88].end 2068.75409375
transcript.pyannote[89].speaker SPEAKER_19
transcript.pyannote[89].start 2069.27721875
transcript.pyannote[89].end 2070.96471875
transcript.pyannote[90].speaker SPEAKER_19
transcript.pyannote[90].start 2071.26846875
transcript.pyannote[90].end 2073.52971875
transcript.pyannote[91].speaker SPEAKER_19
transcript.pyannote[91].start 2073.86721875
transcript.pyannote[91].end 2087.87346875
transcript.pyannote[92].speaker SPEAKER_19
transcript.pyannote[92].start 2088.09284375
transcript.pyannote[92].end 2090.26971875
transcript.pyannote[93].speaker SPEAKER_19
transcript.pyannote[93].start 2090.72534375
transcript.pyannote[93].end 2095.04534375
transcript.pyannote[94].speaker SPEAKER_19
transcript.pyannote[94].start 2095.50096875
transcript.pyannote[94].end 2102.55471875
transcript.pyannote[95].speaker SPEAKER_19
transcript.pyannote[95].start 2103.16221875
transcript.pyannote[95].end 2123.78346875
transcript.pyannote[96].speaker SPEAKER_19
transcript.pyannote[96].start 2123.86784375
transcript.pyannote[96].end 2130.56721875
transcript.pyannote[97].speaker SPEAKER_29
transcript.pyannote[97].start 2130.78659375
transcript.pyannote[97].end 2136.52409375
transcript.pyannote[98].speaker SPEAKER_20
transcript.pyannote[98].start 2148.01596875
transcript.pyannote[98].end 2148.20159375
transcript.pyannote[99].speaker SPEAKER_20
transcript.pyannote[99].start 2151.52596875
transcript.pyannote[99].end 2152.96034375
transcript.pyannote[100].speaker SPEAKER_20
transcript.pyannote[100].start 2153.93909375
transcript.pyannote[100].end 2155.86284375
transcript.pyannote[101].speaker SPEAKER_20
transcript.pyannote[101].start 2156.75721875
transcript.pyannote[101].end 2158.86659375
transcript.pyannote[102].speaker SPEAKER_20
transcript.pyannote[102].start 2159.77784375
transcript.pyannote[102].end 2160.79034375
transcript.pyannote[103].speaker SPEAKER_20
transcript.pyannote[103].start 2161.53284375
transcript.pyannote[103].end 2162.76471875
transcript.pyannote[104].speaker SPEAKER_20
transcript.pyannote[104].start 2163.77721875
transcript.pyannote[104].end 2164.92471875
transcript.pyannote[105].speaker SPEAKER_20
transcript.pyannote[105].start 2165.66721875
transcript.pyannote[105].end 2168.21534375
transcript.pyannote[106].speaker SPEAKER_20
transcript.pyannote[106].start 2169.02534375
transcript.pyannote[106].end 2169.59909375
transcript.pyannote[107].speaker SPEAKER_20
transcript.pyannote[107].start 2169.80159375
transcript.pyannote[107].end 2171.26971875
transcript.pyannote[108].speaker SPEAKER_20
transcript.pyannote[108].start 2172.31596875
transcript.pyannote[108].end 2174.37471875
transcript.pyannote[109].speaker SPEAKER_20
transcript.pyannote[109].start 2174.96534375
transcript.pyannote[109].end 2178.54284375
transcript.pyannote[110].speaker SPEAKER_20
transcript.pyannote[110].start 2179.45409375
transcript.pyannote[110].end 2180.33159375
transcript.pyannote[111].speaker SPEAKER_20
transcript.pyannote[111].start 2180.90534375
transcript.pyannote[111].end 2181.93471875
transcript.pyannote[112].speaker SPEAKER_20
transcript.pyannote[112].start 2182.40721875
transcript.pyannote[112].end 2184.07784375
transcript.pyannote[113].speaker SPEAKER_20
transcript.pyannote[113].start 2184.88784375
transcript.pyannote[113].end 2185.79909375
transcript.pyannote[114].speaker SPEAKER_20
transcript.pyannote[114].start 2186.47409375
transcript.pyannote[114].end 2188.09409375
transcript.pyannote[115].speaker SPEAKER_20
transcript.pyannote[115].start 2188.61721875
transcript.pyannote[115].end 2191.60409375
transcript.pyannote[116].speaker SPEAKER_20
transcript.pyannote[116].start 2192.63346875
transcript.pyannote[116].end 2193.12284375
transcript.pyannote[117].speaker SPEAKER_20
transcript.pyannote[117].start 2193.69659375
transcript.pyannote[117].end 2194.82721875
transcript.pyannote[118].speaker SPEAKER_20
transcript.pyannote[118].start 2195.72159375
transcript.pyannote[118].end 2198.06721875
transcript.pyannote[119].speaker SPEAKER_20
transcript.pyannote[119].start 2198.94471875
transcript.pyannote[119].end 2201.86409375
transcript.pyannote[120].speaker SPEAKER_20
transcript.pyannote[120].start 2203.09596875
transcript.pyannote[120].end 2205.69471875
transcript.pyannote[121].speaker SPEAKER_20
transcript.pyannote[121].start 2206.23471875
transcript.pyannote[121].end 2208.61409375
transcript.pyannote[122].speaker SPEAKER_20
transcript.pyannote[122].start 2210.68971875
transcript.pyannote[122].end 2215.43159375
transcript.pyannote[123].speaker SPEAKER_20
transcript.pyannote[123].start 2216.37659375
transcript.pyannote[123].end 2219.39721875
transcript.pyannote[124].speaker SPEAKER_20
transcript.pyannote[124].start 2219.58284375
transcript.pyannote[124].end 2221.79346875
transcript.pyannote[125].speaker SPEAKER_20
transcript.pyannote[125].start 2222.26596875
transcript.pyannote[125].end 2228.47596875
transcript.pyannote[126].speaker SPEAKER_20
transcript.pyannote[126].start 2229.70784375
transcript.pyannote[126].end 2230.61909375
transcript.pyannote[127].speaker SPEAKER_20
transcript.pyannote[127].start 2231.58096875
transcript.pyannote[127].end 2232.59346875
transcript.pyannote[128].speaker SPEAKER_20
transcript.pyannote[128].start 2233.72409375
transcript.pyannote[128].end 2234.46659375
transcript.pyannote[129].speaker SPEAKER_20
transcript.pyannote[129].start 2235.05721875
transcript.pyannote[129].end 2237.40284375
transcript.pyannote[130].speaker SPEAKER_20
transcript.pyannote[130].start 2238.55034375
transcript.pyannote[130].end 2242.70159375
transcript.pyannote[131].speaker SPEAKER_20
transcript.pyannote[131].start 2243.34284375
transcript.pyannote[131].end 2247.32534375
transcript.pyannote[132].speaker SPEAKER_20
transcript.pyannote[132].start 2248.60784375
transcript.pyannote[132].end 2249.68784375
transcript.pyannote[133].speaker SPEAKER_20
transcript.pyannote[133].start 2250.59909375
transcript.pyannote[133].end 2251.39221875
transcript.pyannote[134].speaker SPEAKER_20
transcript.pyannote[134].start 2252.69159375
transcript.pyannote[134].end 2253.43409375
transcript.pyannote[135].speaker SPEAKER_20
transcript.pyannote[135].start 2254.44659375
transcript.pyannote[135].end 2255.49284375
transcript.pyannote[136].speaker SPEAKER_20
transcript.pyannote[136].start 2255.61096875
transcript.pyannote[136].end 2256.48846875
transcript.pyannote[137].speaker SPEAKER_20
transcript.pyannote[137].start 2257.65284375
transcript.pyannote[137].end 2259.08721875
transcript.pyannote[138].speaker SPEAKER_20
transcript.pyannote[138].start 2260.77471875
transcript.pyannote[138].end 2262.66471875
transcript.pyannote[139].speaker SPEAKER_20
transcript.pyannote[139].start 2263.77846875
transcript.pyannote[139].end 2266.73159375
transcript.pyannote[140].speaker SPEAKER_20
transcript.pyannote[140].start 2267.86221875
transcript.pyannote[140].end 2269.44846875
transcript.pyannote[141].speaker SPEAKER_20
transcript.pyannote[141].start 2270.59596875
transcript.pyannote[141].end 2271.30471875
transcript.pyannote[142].speaker SPEAKER_20
transcript.pyannote[142].start 2272.24971875
transcript.pyannote[142].end 2274.08909375
transcript.pyannote[143].speaker SPEAKER_20
transcript.pyannote[143].start 2274.39284375
transcript.pyannote[143].end 2275.40534375
transcript.pyannote[144].speaker SPEAKER_20
transcript.pyannote[144].start 2276.46846875
transcript.pyannote[144].end 2279.25284375
transcript.pyannote[145].speaker SPEAKER_20
transcript.pyannote[145].start 2279.97846875
transcript.pyannote[145].end 2281.19346875
transcript.pyannote[146].speaker SPEAKER_20
transcript.pyannote[146].start 2283.03284375
transcript.pyannote[146].end 2283.75846875
transcript.pyannote[147].speaker SPEAKER_20
transcript.pyannote[147].start 2283.91034375
transcript.pyannote[147].end 2285.54721875
transcript.pyannote[148].speaker SPEAKER_20
transcript.pyannote[148].start 2287.08284375
transcript.pyannote[148].end 2287.53846875
transcript.pyannote[149].speaker SPEAKER_20
transcript.pyannote[149].start 2287.74096875
transcript.pyannote[149].end 2288.66909375
transcript.pyannote[150].speaker SPEAKER_20
transcript.pyannote[150].start 2289.37784375
transcript.pyannote[150].end 2291.50409375
transcript.pyannote[151].speaker SPEAKER_20
transcript.pyannote[151].start 2292.14534375
transcript.pyannote[151].end 2293.05659375
transcript.pyannote[152].speaker SPEAKER_20
transcript.pyannote[152].start 2294.33909375
transcript.pyannote[152].end 2295.04784375
transcript.pyannote[153].speaker SPEAKER_20
transcript.pyannote[153].start 2295.13221875
transcript.pyannote[153].end 2297.57909375
transcript.pyannote[154].speaker SPEAKER_20
transcript.pyannote[154].start 2298.50721875
transcript.pyannote[154].end 2300.19471875
transcript.pyannote[155].speaker SPEAKER_20
transcript.pyannote[155].start 2301.34221875
transcript.pyannote[155].end 2302.20284375
transcript.pyannote[156].speaker SPEAKER_20
transcript.pyannote[156].start 2303.08034375
transcript.pyannote[156].end 2305.40909375
transcript.pyannote[157].speaker SPEAKER_20
transcript.pyannote[157].start 2306.52284375
transcript.pyannote[157].end 2308.71659375
transcript.pyannote[158].speaker SPEAKER_20
transcript.pyannote[158].start 2309.02034375
transcript.pyannote[158].end 2311.77096875
transcript.pyannote[159].speaker SPEAKER_20
transcript.pyannote[159].start 2312.96909375
transcript.pyannote[159].end 2315.16284375
transcript.pyannote[160].speaker SPEAKER_20
transcript.pyannote[160].start 2315.65221875
transcript.pyannote[160].end 2317.22159375
transcript.pyannote[161].speaker SPEAKER_20
transcript.pyannote[161].start 2317.45784375
transcript.pyannote[161].end 2320.76534375
transcript.pyannote[162].speaker SPEAKER_20
transcript.pyannote[162].start 2321.74409375
transcript.pyannote[162].end 2322.65534375
transcript.pyannote[163].speaker SPEAKER_20
transcript.pyannote[163].start 2323.58346875
transcript.pyannote[163].end 2324.68034375
transcript.pyannote[164].speaker SPEAKER_20
transcript.pyannote[164].start 2325.67596875
transcript.pyannote[164].end 2326.89096875
transcript.pyannote[165].speaker SPEAKER_20
transcript.pyannote[165].start 2327.44784375
transcript.pyannote[165].end 2329.03409375
transcript.pyannote[166].speaker SPEAKER_20
transcript.pyannote[166].start 2329.43909375
transcript.pyannote[166].end 2330.46846875
transcript.pyannote[167].speaker SPEAKER_20
transcript.pyannote[167].start 2330.78909375
transcript.pyannote[167].end 2333.47221875
transcript.pyannote[168].speaker SPEAKER_29
transcript.pyannote[168].start 2334.50159375
transcript.pyannote[168].end 2339.39534375
transcript.pyannote[169].speaker SPEAKER_11
transcript.pyannote[169].start 2351.49471875
transcript.pyannote[169].end 2352.15284375
transcript.pyannote[170].speaker SPEAKER_11
transcript.pyannote[170].start 2352.74346875
transcript.pyannote[170].end 2355.73034375
transcript.pyannote[171].speaker SPEAKER_11
transcript.pyannote[171].start 2356.25346875
transcript.pyannote[171].end 2360.75909375
transcript.pyannote[172].speaker SPEAKER_11
transcript.pyannote[172].start 2360.80971875
transcript.pyannote[172].end 2362.69971875
transcript.pyannote[173].speaker SPEAKER_11
transcript.pyannote[173].start 2363.15534375
transcript.pyannote[173].end 2364.79221875
transcript.pyannote[174].speaker SPEAKER_11
transcript.pyannote[174].start 2365.16346875
transcript.pyannote[174].end 2366.78346875
transcript.pyannote[175].speaker SPEAKER_11
transcript.pyannote[175].start 2366.96909375
transcript.pyannote[175].end 2368.94346875
transcript.pyannote[176].speaker SPEAKER_11
transcript.pyannote[176].start 2369.63534375
transcript.pyannote[176].end 2380.40159375
transcript.pyannote[177].speaker SPEAKER_11
transcript.pyannote[177].start 2380.94159375
transcript.pyannote[177].end 2399.75721875
transcript.pyannote[178].speaker SPEAKER_11
transcript.pyannote[178].start 2400.43221875
transcript.pyannote[178].end 2404.17846875
transcript.pyannote[179].speaker SPEAKER_11
transcript.pyannote[179].start 2405.44409375
transcript.pyannote[179].end 2417.02034375
transcript.pyannote[180].speaker SPEAKER_11
transcript.pyannote[180].start 2417.64471875
transcript.pyannote[180].end 2427.24659375
transcript.pyannote[181].speaker SPEAKER_11
transcript.pyannote[181].start 2427.71909375
transcript.pyannote[181].end 2430.73971875
transcript.pyannote[182].speaker SPEAKER_11
transcript.pyannote[182].start 2430.92534375
transcript.pyannote[182].end 2434.62096875
transcript.pyannote[183].speaker SPEAKER_11
transcript.pyannote[183].start 2435.16096875
transcript.pyannote[183].end 2438.77221875
transcript.pyannote[184].speaker SPEAKER_11
transcript.pyannote[184].start 2438.85659375
transcript.pyannote[184].end 2442.41721875
transcript.pyannote[185].speaker SPEAKER_11
transcript.pyannote[185].start 2442.99096875
transcript.pyannote[185].end 2443.54784375
transcript.pyannote[186].speaker SPEAKER_11
transcript.pyannote[186].start 2443.96971875
transcript.pyannote[186].end 2455.81596875
transcript.pyannote[187].speaker SPEAKER_11
transcript.pyannote[187].start 2456.00159375
transcript.pyannote[187].end 2470.81784375
transcript.pyannote[188].speaker SPEAKER_11
transcript.pyannote[188].start 2471.52659375
transcript.pyannote[188].end 2473.39971875
transcript.pyannote[189].speaker SPEAKER_11
transcript.pyannote[189].start 2473.72034375
transcript.pyannote[189].end 2477.09534375
transcript.pyannote[190].speaker SPEAKER_11
transcript.pyannote[190].start 2477.31471875
transcript.pyannote[190].end 2508.28034375
transcript.pyannote[191].speaker SPEAKER_11
transcript.pyannote[191].start 2508.70221875
transcript.pyannote[191].end 2514.27096875
transcript.pyannote[192].speaker SPEAKER_11
transcript.pyannote[192].start 2514.60846875
transcript.pyannote[192].end 2532.63096875
transcript.pyannote[193].speaker SPEAKER_29
transcript.pyannote[193].start 2532.63096875
transcript.pyannote[193].end 2537.72721875
transcript.pyannote[194].speaker SPEAKER_09
transcript.pyannote[194].start 2551.02471875
transcript.pyannote[194].end 2554.21409375
transcript.pyannote[195].speaker SPEAKER_09
transcript.pyannote[195].start 2554.46721875
transcript.pyannote[195].end 2559.39471875
transcript.pyannote[196].speaker SPEAKER_09
transcript.pyannote[196].start 2559.68159375
transcript.pyannote[196].end 2580.13409375
transcript.pyannote[197].speaker SPEAKER_09
transcript.pyannote[197].start 2580.30284375
transcript.pyannote[197].end 2588.03159375
transcript.pyannote[198].speaker SPEAKER_09
transcript.pyannote[198].start 2588.58846875
transcript.pyannote[198].end 2607.52221875
transcript.pyannote[199].speaker SPEAKER_09
transcript.pyannote[199].start 2608.19721875
transcript.pyannote[199].end 2613.88409375
transcript.pyannote[200].speaker SPEAKER_09
transcript.pyannote[200].start 2614.15409375
transcript.pyannote[200].end 2628.22784375
transcript.pyannote[201].speaker SPEAKER_09
transcript.pyannote[201].start 2628.56534375
transcript.pyannote[201].end 2633.86409375
transcript.pyannote[202].speaker SPEAKER_09
transcript.pyannote[202].start 2633.93159375
transcript.pyannote[202].end 2648.37659375
transcript.pyannote[203].speaker SPEAKER_09
transcript.pyannote[203].start 2648.52846875
transcript.pyannote[203].end 2649.16971875
transcript.pyannote[204].speaker SPEAKER_09
transcript.pyannote[204].start 2649.67596875
transcript.pyannote[204].end 2656.17284375
transcript.pyannote[205].speaker SPEAKER_09
transcript.pyannote[205].start 2656.86471875
transcript.pyannote[205].end 2677.03034375
transcript.pyannote[206].speaker SPEAKER_09
transcript.pyannote[206].start 2677.36784375
transcript.pyannote[206].end 2716.28159375
transcript.pyannote[207].speaker SPEAKER_09
transcript.pyannote[207].start 2716.77096875
transcript.pyannote[207].end 2733.89909375
transcript.pyannote[208].speaker SPEAKER_29
transcript.pyannote[208].start 2734.94534375
transcript.pyannote[208].end 2745.84659375
transcript.pyannote[209].speaker SPEAKER_29
transcript.pyannote[209].start 2746.43721875
transcript.pyannote[209].end 2754.89159375
transcript.pyannote[210].speaker SPEAKER_29
transcript.pyannote[210].start 5426.05221875
transcript.pyannote[210].end 5429.10659375
transcript.pyannote[211].speaker SPEAKER_29
transcript.pyannote[211].start 5430.54096875
transcript.pyannote[211].end 5433.98346875
transcript.pyannote[212].speaker SPEAKER_29
transcript.pyannote[212].start 5434.42221875
transcript.pyannote[212].end 5437.47659375
transcript.pyannote[213].speaker SPEAKER_29
transcript.pyannote[213].start 5437.79721875
transcript.pyannote[213].end 5439.48471875
transcript.pyannote[214].speaker SPEAKER_29
transcript.pyannote[214].start 5439.78846875
transcript.pyannote[214].end 5444.54721875
transcript.pyannote[215].speaker SPEAKER_29
transcript.pyannote[215].start 7274.28659375
transcript.pyannote[215].end 7280.71596875
transcript.pyannote[216].speaker SPEAKER_01
transcript.pyannote[216].start 7281.72846875
transcript.pyannote[216].end 7286.65596875
transcript.pyannote[217].speaker SPEAKER_01
transcript.pyannote[217].start 7286.79096875
transcript.pyannote[217].end 7291.51596875
transcript.pyannote[218].speaker SPEAKER_01
transcript.pyannote[218].start 7291.87034375
transcript.pyannote[218].end 7293.38909375
transcript.pyannote[219].speaker SPEAKER_01
transcript.pyannote[219].start 7293.65909375
transcript.pyannote[219].end 7295.75159375
transcript.pyannote[220].speaker SPEAKER_01
transcript.pyannote[220].start 7296.20721875
transcript.pyannote[220].end 7297.59096875
transcript.pyannote[221].speaker SPEAKER_01
transcript.pyannote[221].start 7298.14784375
transcript.pyannote[221].end 7299.93659375
transcript.pyannote[222].speaker SPEAKER_01
transcript.pyannote[222].start 7300.37534375
transcript.pyannote[222].end 7302.04596875
transcript.pyannote[223].speaker SPEAKER_01
transcript.pyannote[223].start 7302.38346875
transcript.pyannote[223].end 7303.37909375
transcript.pyannote[224].speaker SPEAKER_01
transcript.pyannote[224].start 7303.59846875
transcript.pyannote[224].end 7305.99471875
transcript.pyannote[225].speaker SPEAKER_01
transcript.pyannote[225].start 7306.28159375
transcript.pyannote[225].end 7307.74971875
transcript.pyannote[226].speaker SPEAKER_01
transcript.pyannote[226].start 7307.96909375
transcript.pyannote[226].end 7310.21346875
transcript.pyannote[227].speaker SPEAKER_29
transcript.pyannote[227].start 7311.91784375
transcript.pyannote[227].end 7315.02284375
transcript.pyannote[228].speaker SPEAKER_29
transcript.pyannote[228].start 7315.63034375
transcript.pyannote[228].end 7320.42284375
transcript.pyannote[229].speaker SPEAKER_29
transcript.pyannote[229].start 7320.77721875
transcript.pyannote[229].end 7322.21159375
transcript.pyannote[230].speaker SPEAKER_29
transcript.pyannote[230].start 7323.05534375
transcript.pyannote[230].end 7324.86096875
transcript.pyannote[231].speaker SPEAKER_29
transcript.pyannote[231].start 7325.21534375
transcript.pyannote[231].end 7327.83096875
transcript.pyannote[232].speaker SPEAKER_29
transcript.pyannote[232].start 7328.26971875
transcript.pyannote[232].end 7329.51846875
transcript.pyannote[233].speaker SPEAKER_29
transcript.pyannote[233].start 7329.90659375
transcript.pyannote[233].end 7331.13846875
transcript.pyannote[234].speaker SPEAKER_29
transcript.pyannote[234].start 7331.35784375
transcript.pyannote[234].end 7336.03221875
transcript.pyannote[235].speaker SPEAKER_29
transcript.pyannote[235].start 7336.80846875
transcript.pyannote[235].end 7346.64659375
transcript.pyannote[236].speaker SPEAKER_29
transcript.pyannote[236].start 7349.16096875
transcript.pyannote[236].end 7354.94909375
transcript.pyannote[237].speaker SPEAKER_29
transcript.pyannote[237].start 7355.48909375
transcript.pyannote[237].end 7364.04471875
transcript.pyannote[238].speaker SPEAKER_29
transcript.pyannote[238].start 7364.55096875
transcript.pyannote[238].end 7364.97284375
transcript.pyannote[239].speaker SPEAKER_29
transcript.pyannote[239].start 7365.17534375
transcript.pyannote[239].end 7369.37721875
transcript.pyannote[240].speaker SPEAKER_29
transcript.pyannote[240].start 7370.44034375
transcript.pyannote[240].end 7372.12784375
transcript.pyannote[241].speaker SPEAKER_29
transcript.pyannote[241].start 7372.92096875
transcript.pyannote[241].end 7374.64221875
transcript.pyannote[242].speaker SPEAKER_29
transcript.pyannote[242].start 7375.09784375
transcript.pyannote[242].end 7379.62034375
transcript.pyannote[243].speaker SPEAKER_29
transcript.pyannote[243].start 7379.87346875
transcript.pyannote[243].end 7384.66596875
transcript.pyannote[244].speaker SPEAKER_29
transcript.pyannote[244].start 7385.02034375
transcript.pyannote[244].end 7385.54346875
transcript.pyannote[245].speaker SPEAKER_29
transcript.pyannote[245].start 7386.11721875
transcript.pyannote[245].end 7391.33159375
transcript.pyannote[246].speaker SPEAKER_29
transcript.pyannote[246].start 7391.93909375
transcript.pyannote[246].end 7394.11596875
transcript.pyannote[247].speaker SPEAKER_29
transcript.pyannote[247].start 7394.30159375
transcript.pyannote[247].end 7400.35971875
transcript.pyannote[248].speaker SPEAKER_22
transcript.pyannote[248].start 7402.21596875
transcript.pyannote[248].end 7402.41846875
transcript.pyannote[249].speaker SPEAKER_29
transcript.pyannote[249].start 7402.84034375
transcript.pyannote[249].end 7403.07659375
transcript.pyannote[250].speaker SPEAKER_29
transcript.pyannote[250].start 7403.73471875
transcript.pyannote[250].end 7411.07534375
transcript.pyannote[251].speaker SPEAKER_00
transcript.pyannote[251].start 7411.54784375
transcript.pyannote[251].end 7434.07596875
transcript.pyannote[252].speaker SPEAKER_00
transcript.pyannote[252].start 7434.53159375
transcript.pyannote[252].end 7450.42784375
transcript.pyannote[253].speaker SPEAKER_00
transcript.pyannote[253].start 7450.81596875
transcript.pyannote[253].end 7469.86784375
transcript.pyannote[254].speaker SPEAKER_29
transcript.pyannote[254].start 7470.96471875
transcript.pyannote[254].end 7477.64721875
transcript.pyannote[255].speaker SPEAKER_29
transcript.pyannote[255].start 7901.39534375
transcript.pyannote[255].end 7904.34846875
transcript.pyannote[256].speaker SPEAKER_29
transcript.pyannote[256].start 7904.98971875
transcript.pyannote[256].end 7920.10971875
transcript.pyannote[257].speaker SPEAKER_22
transcript.pyannote[257].start 7993.43159375
transcript.pyannote[257].end 7993.46534375
transcript.pyannote[258].speaker SPEAKER_22
transcript.pyannote[258].start 7993.48221875
transcript.pyannote[258].end 7996.97534375
transcript.pyannote[259].speaker SPEAKER_27
transcript.pyannote[259].start 7996.97534375
transcript.pyannote[259].end 7997.43096875
transcript.pyannote[260].speaker SPEAKER_22
transcript.pyannote[260].start 7997.43096875
transcript.pyannote[260].end 7997.90346875
transcript.pyannote[261].speaker SPEAKER_27
transcript.pyannote[261].start 7997.90346875
transcript.pyannote[261].end 7998.08909375
transcript.pyannote[262].speaker SPEAKER_22
transcript.pyannote[262].start 7998.08909375
transcript.pyannote[262].end 7998.13971875
transcript.pyannote[263].speaker SPEAKER_29
transcript.pyannote[263].start 7999.37159375
transcript.pyannote[263].end 7999.86096875
transcript.pyannote[264].speaker SPEAKER_29
transcript.pyannote[264].start 8001.66659375
transcript.pyannote[264].end 8002.71284375
transcript.pyannote[265].speaker SPEAKER_29
transcript.pyannote[265].start 8003.33721875
transcript.pyannote[265].end 8004.51846875
transcript.pyannote[266].speaker SPEAKER_29
transcript.pyannote[266].start 8006.66159375
transcript.pyannote[266].end 8008.73721875
transcript.pyannote[267].speaker SPEAKER_29
transcript.pyannote[267].start 8010.77909375
transcript.pyannote[267].end 8012.85471875
transcript.pyannote[268].speaker SPEAKER_29
transcript.pyannote[268].start 8014.00221875
transcript.pyannote[268].end 8018.27159375
transcript.pyannote[269].speaker SPEAKER_29
transcript.pyannote[269].start 8018.67659375
transcript.pyannote[269].end 8021.00534375
transcript.pyannote[270].speaker SPEAKER_29
transcript.pyannote[270].start 8021.46096875
transcript.pyannote[270].end 8025.62909375
transcript.pyannote[271].speaker SPEAKER_29
transcript.pyannote[271].start 8026.18596875
transcript.pyannote[271].end 8027.87346875
transcript.pyannote[272].speaker SPEAKER_29
transcript.pyannote[272].start 8028.27846875
transcript.pyannote[272].end 8032.46346875
transcript.pyannote[273].speaker SPEAKER_29
transcript.pyannote[273].start 8033.20596875
transcript.pyannote[273].end 8038.03221875
transcript.pyannote[274].speaker SPEAKER_29
transcript.pyannote[274].start 8039.46659375
transcript.pyannote[274].end 8045.06909375
transcript.pyannote[275].speaker SPEAKER_29
transcript.pyannote[275].start 8046.41909375
transcript.pyannote[275].end 8047.87034375
transcript.pyannote[276].speaker SPEAKER_29
transcript.pyannote[276].start 8049.35534375
transcript.pyannote[276].end 8051.81909375
transcript.pyannote[277].speaker SPEAKER_29
transcript.pyannote[277].start 8052.96659375
transcript.pyannote[277].end 8053.18596875
transcript.pyannote[278].speaker SPEAKER_29
transcript.pyannote[278].start 8053.65846875
transcript.pyannote[278].end 8068.45784375
transcript.pyannote[279].speaker SPEAKER_29
transcript.pyannote[279].start 8139.85596875
transcript.pyannote[279].end 8142.85971875
transcript.pyannote[280].speaker SPEAKER_29
transcript.pyannote[280].start 8143.80471875
transcript.pyannote[280].end 8145.07034375
transcript.pyannote[281].speaker SPEAKER_29
transcript.pyannote[281].start 8145.44159375
transcript.pyannote[281].end 8153.10284375
transcript.pyannote[282].speaker SPEAKER_29
transcript.pyannote[282].start 8154.04784375
transcript.pyannote[282].end 8158.19909375
transcript.pyannote[283].speaker SPEAKER_29
transcript.pyannote[283].start 8158.95846875
transcript.pyannote[283].end 8159.80221875
transcript.pyannote[284].speaker SPEAKER_29
transcript.pyannote[284].start 8160.20721875
transcript.pyannote[284].end 8165.91096875
transcript.pyannote[285].speaker SPEAKER_29
transcript.pyannote[285].start 8166.29909375
transcript.pyannote[285].end 8169.25221875
transcript.pyannote[286].speaker SPEAKER_29
transcript.pyannote[286].start 8169.53909375
transcript.pyannote[286].end 8170.12971875
transcript.pyannote[287].speaker SPEAKER_29
transcript.pyannote[287].start 8171.46284375
transcript.pyannote[287].end 8171.85096875
transcript.pyannote[288].speaker SPEAKER_29
transcript.pyannote[288].start 8172.44159375
transcript.pyannote[288].end 8174.68596875
transcript.pyannote[289].speaker SPEAKER_29
transcript.pyannote[289].start 8176.37346875
transcript.pyannote[289].end 8178.85409375
transcript.pyannote[290].speaker SPEAKER_29
transcript.pyannote[290].start 8179.09034375
transcript.pyannote[290].end 8181.25034375
transcript.pyannote[291].speaker SPEAKER_29
transcript.pyannote[291].start 8181.50346875
transcript.pyannote[291].end 8183.39346875
transcript.pyannote[292].speaker SPEAKER_29
transcript.pyannote[292].start 8183.52846875
transcript.pyannote[292].end 8186.11034375
transcript.pyannote[293].speaker SPEAKER_00
transcript.pyannote[293].start 8186.56596875
transcript.pyannote[293].end 8220.04596875
transcript.pyannote[294].speaker SPEAKER_29
transcript.pyannote[294].start 8221.37909375
transcript.pyannote[294].end 8227.65659375
transcript.pyannote[295].speaker SPEAKER_29
transcript.pyannote[295].start 8229.58034375
transcript.pyannote[295].end 8234.55846875
transcript.pyannote[296].speaker SPEAKER_29
transcript.pyannote[296].start 8235.18284375
transcript.pyannote[296].end 8245.18971875
transcript.pyannote[297].speaker SPEAKER_29
transcript.pyannote[297].start 8316.67221875
transcript.pyannote[297].end 8319.03471875
transcript.pyannote[298].speaker SPEAKER_29
transcript.pyannote[298].start 8322.98346875
transcript.pyannote[298].end 8326.45971875
transcript.pyannote[299].speaker SPEAKER_29
transcript.pyannote[299].start 8327.23596875
transcript.pyannote[299].end 8344.07721875
transcript.pyannote[300].speaker SPEAKER_29
transcript.pyannote[300].start 8344.41471875
transcript.pyannote[300].end 8349.91596875
transcript.pyannote[301].speaker SPEAKER_29
transcript.pyannote[301].start 8350.25346875
transcript.pyannote[301].end 8354.70846875
transcript.pyannote[302].speaker SPEAKER_27
transcript.pyannote[302].start 8354.99534375
transcript.pyannote[302].end 8355.06284375
transcript.pyannote[303].speaker SPEAKER_29
transcript.pyannote[303].start 8355.06284375
transcript.pyannote[303].end 8355.60284375
transcript.pyannote[304].speaker SPEAKER_27
transcript.pyannote[304].start 8355.60284375
transcript.pyannote[304].end 8355.61971875
transcript.pyannote[305].speaker SPEAKER_29
transcript.pyannote[305].start 8356.88534375
transcript.pyannote[305].end 8356.90221875
transcript.pyannote[306].speaker SPEAKER_27
transcript.pyannote[306].start 8356.90221875
transcript.pyannote[306].end 8388.76221875
transcript.pyannote[307].speaker SPEAKER_27
transcript.pyannote[307].start 8389.30221875
transcript.pyannote[307].end 8431.96221875
transcript.pyannote[308].speaker SPEAKER_29
transcript.pyannote[308].start 8431.96221875
transcript.pyannote[308].end 8432.77221875
transcript.pyannote[309].speaker SPEAKER_29
transcript.pyannote[309].start 8433.61596875
transcript.pyannote[309].end 8440.83846875
transcript.pyannote[310].speaker SPEAKER_29
transcript.pyannote[310].start 8441.32784375
transcript.pyannote[310].end 8443.28534375
transcript.pyannote[311].speaker SPEAKER_29
transcript.pyannote[311].start 8444.06159375
transcript.pyannote[311].end 8445.66471875
transcript.pyannote[312].speaker SPEAKER_29
transcript.pyannote[312].start 8446.18784375
transcript.pyannote[312].end 8449.56284375
transcript.pyannote[313].speaker SPEAKER_29
transcript.pyannote[313].start 8452.44846875
transcript.pyannote[313].end 8454.43971875
transcript.pyannote[314].speaker SPEAKER_00
transcript.pyannote[314].start 8454.81096875
transcript.pyannote[314].end 8461.61159375
transcript.pyannote[315].speaker SPEAKER_29
transcript.pyannote[315].start 8461.12221875
transcript.pyannote[315].end 8463.04596875
transcript.pyannote[316].speaker SPEAKER_00
transcript.pyannote[316].start 8463.23159375
transcript.pyannote[316].end 8470.53846875
transcript.pyannote[317].speaker SPEAKER_05
transcript.pyannote[317].start 8469.88034375
transcript.pyannote[317].end 8470.57221875
transcript.pyannote[318].speaker SPEAKER_00
transcript.pyannote[318].start 8470.57221875
transcript.pyannote[318].end 8478.57096875
transcript.pyannote[319].speaker SPEAKER_05
transcript.pyannote[319].start 8478.01409375
transcript.pyannote[319].end 8478.62159375
transcript.pyannote[320].speaker SPEAKER_00
transcript.pyannote[320].start 8478.62159375
transcript.pyannote[320].end 8500.37346875
transcript.pyannote[321].speaker SPEAKER_05
transcript.pyannote[321].start 8484.69659375
transcript.pyannote[321].end 8485.28721875
transcript.pyannote[322].speaker SPEAKER_05
transcript.pyannote[322].start 8492.93159375
transcript.pyannote[322].end 8493.84284375
transcript.pyannote[323].speaker SPEAKER_05
transcript.pyannote[323].start 8499.76596875
transcript.pyannote[323].end 8500.57596875
transcript.pyannote[324].speaker SPEAKER_00
transcript.pyannote[324].start 8500.50846875
transcript.pyannote[324].end 8508.25409375
transcript.pyannote[325].speaker SPEAKER_29
transcript.pyannote[325].start 8508.57471875
transcript.pyannote[325].end 8509.31721875
transcript.pyannote[326].speaker SPEAKER_00
transcript.pyannote[326].start 8509.58721875
transcript.pyannote[326].end 8516.94471875
transcript.pyannote[327].speaker SPEAKER_05
transcript.pyannote[327].start 8516.21909375
transcript.pyannote[327].end 8516.99534375
transcript.pyannote[328].speaker SPEAKER_00
transcript.pyannote[328].start 8516.99534375
transcript.pyannote[328].end 8525.50034375
transcript.pyannote[329].speaker SPEAKER_05
transcript.pyannote[329].start 8524.90971875
transcript.pyannote[329].end 8525.56784375
transcript.pyannote[330].speaker SPEAKER_00
transcript.pyannote[330].start 8525.56784375
transcript.pyannote[330].end 8525.66909375
transcript.pyannote[331].speaker SPEAKER_00
transcript.pyannote[331].start 8525.73659375
transcript.pyannote[331].end 8540.67096875
transcript.pyannote[332].speaker SPEAKER_05
transcript.pyannote[332].start 8532.28409375
transcript.pyannote[332].end 8532.92534375
transcript.pyannote[333].speaker SPEAKER_05
transcript.pyannote[333].start 8540.08034375
transcript.pyannote[333].end 8540.78909375
transcript.pyannote[334].speaker SPEAKER_00
transcript.pyannote[334].start 8540.78909375
transcript.pyannote[334].end 8542.64534375
transcript.pyannote[335].speaker SPEAKER_00
transcript.pyannote[335].start 8543.11784375
transcript.pyannote[335].end 8556.66846875
transcript.pyannote[336].speaker SPEAKER_05
transcript.pyannote[336].start 8548.18034375
transcript.pyannote[336].end 8548.72034375
transcript.pyannote[337].speaker SPEAKER_29
transcript.pyannote[337].start 8556.60096875
transcript.pyannote[337].end 8557.57971875
transcript.pyannote[338].speaker SPEAKER_00
transcript.pyannote[338].start 8557.57971875
transcript.pyannote[338].end 8558.98034375
transcript.pyannote[339].speaker SPEAKER_00
transcript.pyannote[339].start 8559.23346875
transcript.pyannote[339].end 8565.66284375
transcript.pyannote[340].speaker SPEAKER_06
transcript.pyannote[340].start 8565.69659375
transcript.pyannote[340].end 8566.52346875
transcript.pyannote[341].speaker SPEAKER_00
transcript.pyannote[341].start 8566.70909375
transcript.pyannote[341].end 8591.36346875
transcript.pyannote[342].speaker SPEAKER_05
transcript.pyannote[342].start 8575.31534375
transcript.pyannote[342].end 8575.95659375
transcript.pyannote[343].speaker SPEAKER_05
transcript.pyannote[343].start 8582.89221875
transcript.pyannote[343].end 8583.73596875
transcript.pyannote[344].speaker SPEAKER_05
transcript.pyannote[344].start 8590.78971875
transcript.pyannote[344].end 8591.49846875
transcript.pyannote[345].speaker SPEAKER_00
transcript.pyannote[345].start 8591.49846875
transcript.pyannote[345].end 8607.83346875
transcript.pyannote[346].speaker SPEAKER_05
transcript.pyannote[346].start 8599.02471875
transcript.pyannote[346].end 8599.80096875
transcript.pyannote[347].speaker SPEAKER_06
transcript.pyannote[347].start 8607.17534375
transcript.pyannote[347].end 8608.08659375
transcript.pyannote[348].speaker SPEAKER_00
transcript.pyannote[348].start 8608.93034375
transcript.pyannote[348].end 8615.32596875
transcript.pyannote[349].speaker SPEAKER_05
transcript.pyannote[349].start 8614.53284375
transcript.pyannote[349].end 8615.46096875
transcript.pyannote[350].speaker SPEAKER_00
transcript.pyannote[350].start 8615.42721875
transcript.pyannote[350].end 8629.58534375
transcript.pyannote[351].speaker SPEAKER_05
transcript.pyannote[351].start 8621.45159375
transcript.pyannote[351].end 8622.19409375
transcript.pyannote[352].speaker SPEAKER_05
transcript.pyannote[352].start 8628.85971875
transcript.pyannote[352].end 8629.72034375
transcript.pyannote[353].speaker SPEAKER_00
transcript.pyannote[353].start 8629.95659375
transcript.pyannote[353].end 8645.09346875
transcript.pyannote[354].speaker SPEAKER_05
transcript.pyannote[354].start 8635.50846875
transcript.pyannote[354].end 8636.25096875
transcript.pyannote[355].speaker SPEAKER_05
transcript.pyannote[355].start 8644.43534375
transcript.pyannote[355].end 8645.24534375
transcript.pyannote[356].speaker SPEAKER_00
transcript.pyannote[356].start 8645.21159375
transcript.pyannote[356].end 8652.07971875
transcript.pyannote[357].speaker SPEAKER_05
transcript.pyannote[357].start 8651.42159375
transcript.pyannote[357].end 8652.23159375
transcript.pyannote[358].speaker SPEAKER_00
transcript.pyannote[358].start 8652.21471875
transcript.pyannote[358].end 8661.32721875
transcript.pyannote[359].speaker SPEAKER_05
transcript.pyannote[359].start 8660.58471875
transcript.pyannote[359].end 8661.42846875
transcript.pyannote[360].speaker SPEAKER_00
transcript.pyannote[360].start 8661.42846875
transcript.pyannote[360].end 8668.70159375
transcript.pyannote[361].speaker SPEAKER_05
transcript.pyannote[361].start 8668.00971875
transcript.pyannote[361].end 8668.83659375
transcript.pyannote[362].speaker SPEAKER_00
transcript.pyannote[362].start 8668.83659375
transcript.pyannote[362].end 8676.12659375
transcript.pyannote[363].speaker SPEAKER_05
transcript.pyannote[363].start 8675.36721875
transcript.pyannote[363].end 8676.29534375
transcript.pyannote[364].speaker SPEAKER_00
transcript.pyannote[364].start 8676.29534375
transcript.pyannote[364].end 8683.04534375
transcript.pyannote[365].speaker SPEAKER_05
transcript.pyannote[365].start 8682.33659375
transcript.pyannote[365].end 8683.24784375
transcript.pyannote[366].speaker SPEAKER_00
transcript.pyannote[366].start 8683.24784375
transcript.pyannote[366].end 8691.97221875
transcript.pyannote[367].speaker SPEAKER_06
transcript.pyannote[367].start 8691.36471875
transcript.pyannote[367].end 8692.24221875
transcript.pyannote[368].speaker SPEAKER_00
transcript.pyannote[368].start 8692.86659375
transcript.pyannote[368].end 8700.73034375
transcript.pyannote[369].speaker SPEAKER_05
transcript.pyannote[369].start 8700.03846875
transcript.pyannote[369].end 8701.08471875
transcript.pyannote[370].speaker SPEAKER_00
transcript.pyannote[370].start 8701.08471875
transcript.pyannote[370].end 8708.08784375
transcript.pyannote[371].speaker SPEAKER_05
transcript.pyannote[371].start 8707.53096875
transcript.pyannote[371].end 8708.45909375
transcript.pyannote[372].speaker SPEAKER_00
transcript.pyannote[372].start 8708.45909375
transcript.pyannote[372].end 8717.13284375
transcript.pyannote[373].speaker SPEAKER_05
transcript.pyannote[373].start 8716.52534375
transcript.pyannote[373].end 8717.45346875
transcript.pyannote[374].speaker SPEAKER_00
transcript.pyannote[374].start 8717.45346875
transcript.pyannote[374].end 8732.60721875
transcript.pyannote[375].speaker SPEAKER_05
transcript.pyannote[375].start 8724.08534375
transcript.pyannote[375].end 8724.76034375
transcript.pyannote[376].speaker SPEAKER_05
transcript.pyannote[376].start 8731.84784375
transcript.pyannote[376].end 8732.80971875
transcript.pyannote[377].speaker SPEAKER_00
transcript.pyannote[377].start 8732.74221875
transcript.pyannote[377].end 8749.46534375
transcript.pyannote[378].speaker SPEAKER_05
transcript.pyannote[378].start 8741.93909375
transcript.pyannote[378].end 8742.58034375
transcript.pyannote[379].speaker SPEAKER_22
transcript.pyannote[379].start 8748.70596875
transcript.pyannote[379].end 8749.71846875
transcript.pyannote[380].speaker SPEAKER_00
transcript.pyannote[380].start 8749.53284375
transcript.pyannote[380].end 8757.21096875
transcript.pyannote[381].speaker SPEAKER_05
transcript.pyannote[381].start 8756.43471875
transcript.pyannote[381].end 8757.36284375
transcript.pyannote[382].speaker SPEAKER_00
transcript.pyannote[382].start 8757.32909375
transcript.pyannote[382].end 8766.08721875
transcript.pyannote[383].speaker SPEAKER_22
transcript.pyannote[383].start 8765.46284375
transcript.pyannote[383].end 8766.28971875
transcript.pyannote[384].speaker SPEAKER_00
transcript.pyannote[384].start 8766.94784375
transcript.pyannote[384].end 8773.10721875
transcript.pyannote[385].speaker SPEAKER_05
transcript.pyannote[385].start 8772.85409375
transcript.pyannote[385].end 8772.88784375
transcript.pyannote[386].speaker SPEAKER_06
transcript.pyannote[386].start 8772.88784375
transcript.pyannote[386].end 8773.00596875
transcript.pyannote[387].speaker SPEAKER_05
transcript.pyannote[387].start 8773.00596875
transcript.pyannote[387].end 8773.02284375
transcript.pyannote[388].speaker SPEAKER_06
transcript.pyannote[388].start 8773.10721875
transcript.pyannote[388].end 8773.74846875
transcript.pyannote[389].speaker SPEAKER_05
transcript.pyannote[389].start 8773.74846875
transcript.pyannote[389].end 8773.76534375
transcript.pyannote[390].speaker SPEAKER_00
transcript.pyannote[390].start 8773.84971875
transcript.pyannote[390].end 8787.16409375
transcript.pyannote[391].speaker SPEAKER_06
transcript.pyannote[391].start 8779.19909375
transcript.pyannote[391].end 8779.23284375
transcript.pyannote[392].speaker SPEAKER_05
transcript.pyannote[392].start 8779.23284375
transcript.pyannote[392].end 8780.16096875
transcript.pyannote[393].speaker SPEAKER_22
transcript.pyannote[393].start 8786.42159375
transcript.pyannote[393].end 8787.36659375
transcript.pyannote[394].speaker SPEAKER_00
transcript.pyannote[394].start 8787.36659375
transcript.pyannote[394].end 8795.39909375
transcript.pyannote[395].speaker SPEAKER_05
transcript.pyannote[395].start 8794.69034375
transcript.pyannote[395].end 8795.56784375
transcript.pyannote[396].speaker SPEAKER_00
transcript.pyannote[396].start 8795.50034375
transcript.pyannote[396].end 8795.53409375
transcript.pyannote[397].speaker SPEAKER_00
transcript.pyannote[397].start 8795.55096875
transcript.pyannote[397].end 8804.64659375
transcript.pyannote[398].speaker SPEAKER_22
transcript.pyannote[398].start 8804.08971875
transcript.pyannote[398].end 8804.93346875
transcript.pyannote[399].speaker SPEAKER_00
transcript.pyannote[399].start 8804.86596875
transcript.pyannote[399].end 8828.98034375
transcript.pyannote[400].speaker SPEAKER_05
transcript.pyannote[400].start 8813.64096875
transcript.pyannote[400].end 8814.51846875
transcript.pyannote[401].speaker SPEAKER_05
transcript.pyannote[401].start 8819.51346875
transcript.pyannote[401].end 8820.39096875
transcript.pyannote[402].speaker SPEAKER_05
transcript.pyannote[402].start 8828.17034375
transcript.pyannote[402].end 8829.04784375
transcript.pyannote[403].speaker SPEAKER_00
transcript.pyannote[403].start 8829.03096875
transcript.pyannote[403].end 8836.00034375
transcript.pyannote[404].speaker SPEAKER_05
transcript.pyannote[404].start 8835.27471875
transcript.pyannote[404].end 8836.21971875
transcript.pyannote[405].speaker SPEAKER_00
transcript.pyannote[405].start 8836.16909375
transcript.pyannote[405].end 8842.75034375
transcript.pyannote[406].speaker SPEAKER_05
transcript.pyannote[406].start 8842.00784375
transcript.pyannote[406].end 8842.76721875
transcript.pyannote[407].speaker SPEAKER_22
transcript.pyannote[407].start 8842.76721875
transcript.pyannote[407].end 8842.81784375
transcript.pyannote[408].speaker SPEAKER_05
transcript.pyannote[408].start 8842.81784375
transcript.pyannote[408].end 8842.83471875
transcript.pyannote[409].speaker SPEAKER_00
transcript.pyannote[409].start 8842.83471875
transcript.pyannote[409].end 8842.85159375
transcript.pyannote[410].speaker SPEAKER_00
transcript.pyannote[410].start 8843.00346875
transcript.pyannote[410].end 8849.14596875
transcript.pyannote[411].speaker SPEAKER_05
transcript.pyannote[411].start 8848.36971875
transcript.pyannote[411].end 8849.12909375
transcript.pyannote[412].speaker SPEAKER_05
transcript.pyannote[412].start 8849.14596875
transcript.pyannote[412].end 8849.17971875
transcript.pyannote[413].speaker SPEAKER_00
transcript.pyannote[413].start 8849.17971875
transcript.pyannote[413].end 8856.89159375
transcript.pyannote[414].speaker SPEAKER_22
transcript.pyannote[414].start 8856.28409375
transcript.pyannote[414].end 8857.16159375
transcript.pyannote[415].speaker SPEAKER_00
transcript.pyannote[415].start 8857.90409375
transcript.pyannote[415].end 8871.85971875
transcript.pyannote[416].speaker SPEAKER_05
transcript.pyannote[416].start 8863.57409375
transcript.pyannote[416].end 8864.56971875
transcript.pyannote[417].speaker SPEAKER_05
transcript.pyannote[417].start 8871.16784375
transcript.pyannote[417].end 8872.06221875
transcript.pyannote[418].speaker SPEAKER_00
transcript.pyannote[418].start 8872.06221875
transcript.pyannote[418].end 8886.49034375
transcript.pyannote[419].speaker SPEAKER_05
transcript.pyannote[419].start 8879.08221875
transcript.pyannote[419].end 8879.97659375
transcript.pyannote[420].speaker SPEAKER_05
transcript.pyannote[420].start 8885.61284375
transcript.pyannote[420].end 8886.50721875
transcript.pyannote[421].speaker SPEAKER_00
transcript.pyannote[421].start 8886.50721875
transcript.pyannote[421].end 8900.61471875
transcript.pyannote[422].speaker SPEAKER_05
transcript.pyannote[422].start 8892.97034375
transcript.pyannote[422].end 8893.89846875
transcript.pyannote[423].speaker SPEAKER_05
transcript.pyannote[423].start 8899.97346875
transcript.pyannote[423].end 8900.93534375
transcript.pyannote[424].speaker SPEAKER_00
transcript.pyannote[424].start 8900.93534375
transcript.pyannote[424].end 8910.11534375
transcript.pyannote[425].speaker SPEAKER_05
transcript.pyannote[425].start 8909.35596875
transcript.pyannote[425].end 8910.31784375
transcript.pyannote[426].speaker SPEAKER_00
transcript.pyannote[426].start 8910.31784375
transcript.pyannote[426].end 8918.19846875
transcript.pyannote[427].speaker SPEAKER_05
transcript.pyannote[427].start 8917.59096875
transcript.pyannote[427].end 8918.53596875
transcript.pyannote[428].speaker SPEAKER_00
transcript.pyannote[428].start 8918.53596875
transcript.pyannote[428].end 8926.36596875
transcript.pyannote[429].speaker SPEAKER_05
transcript.pyannote[429].start 8925.60659375
transcript.pyannote[429].end 8926.51784375
transcript.pyannote[430].speaker SPEAKER_00
transcript.pyannote[430].start 8926.51784375
transcript.pyannote[430].end 8936.01846875
transcript.pyannote[431].speaker SPEAKER_06
transcript.pyannote[431].start 8935.69784375
transcript.pyannote[431].end 8936.77784375
transcript.pyannote[432].speaker SPEAKER_00
transcript.pyannote[432].start 8936.81159375
transcript.pyannote[432].end 8943.94971875
transcript.pyannote[433].speaker SPEAKER_29
transcript.pyannote[433].start 8947.17284375
transcript.pyannote[433].end 8951.54346875
transcript.pyannote[434].speaker SPEAKER_29
transcript.pyannote[434].start 8952.08346875
transcript.pyannote[434].end 8955.32346875
transcript.pyannote[435].speaker SPEAKER_29
transcript.pyannote[435].start 8956.06596875
transcript.pyannote[435].end 8965.41471875
transcript.pyannote[436].speaker SPEAKER_29
transcript.pyannote[436].start 8970.05534375
transcript.pyannote[436].end 8972.19846875
transcript.pyannote[437].speaker SPEAKER_00
transcript.pyannote[437].start 8972.90721875
transcript.pyannote[437].end 8979.15096875
transcript.pyannote[438].speaker SPEAKER_05
transcript.pyannote[438].start 8978.64471875
transcript.pyannote[438].end 8979.57284375
transcript.pyannote[439].speaker SPEAKER_00
transcript.pyannote[439].start 8979.57284375
transcript.pyannote[439].end 8985.44534375
transcript.pyannote[440].speaker SPEAKER_05
transcript.pyannote[440].start 8984.71971875
transcript.pyannote[440].end 8985.59721875
transcript.pyannote[441].speaker SPEAKER_00
transcript.pyannote[441].start 8985.56346875
transcript.pyannote[441].end 8998.35471875
transcript.pyannote[442].speaker SPEAKER_05
transcript.pyannote[442].start 8991.28409375
transcript.pyannote[442].end 8992.21221875
transcript.pyannote[443].speaker SPEAKER_05
transcript.pyannote[443].start 8997.74721875
transcript.pyannote[443].end 8998.48971875
transcript.pyannote[444].speaker SPEAKER_00
transcript.pyannote[444].start 8998.48971875
transcript.pyannote[444].end 9006.08346875
transcript.pyannote[445].speaker SPEAKER_06
transcript.pyannote[445].start 9005.42534375
transcript.pyannote[445].end 9006.30284375
transcript.pyannote[446].speaker SPEAKER_00
transcript.pyannote[446].start 9006.30284375
transcript.pyannote[446].end 9013.03596875
transcript.pyannote[447].speaker SPEAKER_06
transcript.pyannote[447].start 9012.56346875
transcript.pyannote[447].end 9013.45784375
transcript.pyannote[448].speaker SPEAKER_00
transcript.pyannote[448].start 9013.45784375
transcript.pyannote[448].end 9019.92096875
transcript.pyannote[449].speaker SPEAKER_29
transcript.pyannote[449].start 9020.32596875
transcript.pyannote[449].end 9021.22034375
transcript.pyannote[450].speaker SPEAKER_00
transcript.pyannote[450].start 9021.55784375
transcript.pyannote[450].end 9028.35846875
transcript.pyannote[451].speaker SPEAKER_29
transcript.pyannote[451].start 9029.79284375
transcript.pyannote[451].end 9034.58534375
transcript.pyannote[452].speaker SPEAKER_29
transcript.pyannote[452].start 9035.49659375
transcript.pyannote[452].end 9042.21284375
transcript.pyannote[453].speaker SPEAKER_29
transcript.pyannote[453].start 9047.30909375
transcript.pyannote[453].end 9047.79846875
transcript.pyannote[454].speaker SPEAKER_00
transcript.pyannote[454].start 9048.20346875
transcript.pyannote[454].end 9076.70534375
transcript.pyannote[455].speaker SPEAKER_29
transcript.pyannote[455].start 9054.12659375
transcript.pyannote[455].end 9054.14346875
transcript.pyannote[456].speaker SPEAKER_05
transcript.pyannote[456].start 9054.14346875
transcript.pyannote[456].end 9054.98721875
transcript.pyannote[457].speaker SPEAKER_05
transcript.pyannote[457].start 9060.38721875
transcript.pyannote[457].end 9061.23096875
transcript.pyannote[458].speaker SPEAKER_05
transcript.pyannote[458].start 9067.15409375
transcript.pyannote[458].end 9067.94721875
transcript.pyannote[459].speaker SPEAKER_05
transcript.pyannote[459].start 9076.06409375
transcript.pyannote[459].end 9076.94159375
transcript.pyannote[460].speaker SPEAKER_00
transcript.pyannote[460].start 9076.94159375
transcript.pyannote[460].end 9090.74534375
transcript.pyannote[461].speaker SPEAKER_05
transcript.pyannote[461].start 9082.24034375
transcript.pyannote[461].end 9083.11784375
transcript.pyannote[462].speaker SPEAKER_05
transcript.pyannote[462].start 9090.07034375
transcript.pyannote[462].end 9090.94784375
transcript.pyannote[463].speaker SPEAKER_00
transcript.pyannote[463].start 9090.94784375
transcript.pyannote[463].end 9090.96471875
transcript.pyannote[464].speaker SPEAKER_00
transcript.pyannote[464].start 9091.01534375
transcript.pyannote[464].end 9099.53721875
transcript.pyannote[465].speaker SPEAKER_06
transcript.pyannote[465].start 9098.94659375
transcript.pyannote[465].end 9099.95909375
transcript.pyannote[466].speaker SPEAKER_00
transcript.pyannote[466].start 9099.95909375
transcript.pyannote[466].end 9107.08034375
transcript.pyannote[467].speaker SPEAKER_29
transcript.pyannote[467].start 9107.26596875
transcript.pyannote[467].end 9108.22784375
transcript.pyannote[468].speaker SPEAKER_00
transcript.pyannote[468].start 9108.26159375
transcript.pyannote[468].end 9115.72034375
transcript.pyannote[469].speaker SPEAKER_29
transcript.pyannote[469].start 9115.72034375
transcript.pyannote[469].end 9124.07346875
transcript.pyannote[470].speaker SPEAKER_00
transcript.pyannote[470].start 9124.30971875
transcript.pyannote[470].end 9137.15159375
transcript.pyannote[471].speaker SPEAKER_05
transcript.pyannote[471].start 9136.52721875
transcript.pyannote[471].end 9137.25284375
transcript.pyannote[472].speaker SPEAKER_00
transcript.pyannote[472].start 9137.21909375
transcript.pyannote[472].end 9145.35284375
transcript.pyannote[473].speaker SPEAKER_05
transcript.pyannote[473].start 9144.62721875
transcript.pyannote[473].end 9145.48784375
transcript.pyannote[474].speaker SPEAKER_00
transcript.pyannote[474].start 9145.48784375
transcript.pyannote[474].end 9152.42346875
transcript.pyannote[475].speaker SPEAKER_05
transcript.pyannote[475].start 9151.86659375
transcript.pyannote[475].end 9152.86221875
transcript.pyannote[476].speaker SPEAKER_00
transcript.pyannote[476].start 9152.86221875
transcript.pyannote[476].end 9158.86971875
transcript.pyannote[477].speaker SPEAKER_05
transcript.pyannote[477].start 9158.16096875
transcript.pyannote[477].end 9158.97096875
transcript.pyannote[478].speaker SPEAKER_00
transcript.pyannote[478].start 9159.08909375
transcript.pyannote[478].end 9165.88971875
transcript.pyannote[479].speaker SPEAKER_06
transcript.pyannote[479].start 9165.14721875
transcript.pyannote[479].end 9166.10909375
transcript.pyannote[480].speaker SPEAKER_00
transcript.pyannote[480].start 9166.10909375
transcript.pyannote[480].end 9172.09971875
transcript.pyannote[481].speaker SPEAKER_06
transcript.pyannote[481].start 9171.42471875
transcript.pyannote[481].end 9172.42034375
transcript.pyannote[482].speaker SPEAKER_00
transcript.pyannote[482].start 9172.42034375
transcript.pyannote[482].end 9181.39784375
transcript.pyannote[483].speaker SPEAKER_05
transcript.pyannote[483].start 9180.75659375
transcript.pyannote[483].end 9181.02659375
transcript.pyannote[484].speaker SPEAKER_06
transcript.pyannote[484].start 9181.02659375
transcript.pyannote[484].end 9181.39784375
transcript.pyannote[485].speaker SPEAKER_05
transcript.pyannote[485].start 9181.39784375
transcript.pyannote[485].end 9181.61721875
transcript.pyannote[486].speaker SPEAKER_06
transcript.pyannote[486].start 9181.61721875
transcript.pyannote[486].end 9181.65096875
transcript.pyannote[487].speaker SPEAKER_00
transcript.pyannote[487].start 9181.65096875
transcript.pyannote[487].end 9187.86096875
transcript.pyannote[488].speaker SPEAKER_06
transcript.pyannote[488].start 9187.33784375
transcript.pyannote[488].end 9188.23221875
transcript.pyannote[489].speaker SPEAKER_00
transcript.pyannote[489].start 9188.23221875
transcript.pyannote[489].end 9197.05784375
transcript.pyannote[490].speaker SPEAKER_05
transcript.pyannote[490].start 9196.28159375
transcript.pyannote[490].end 9197.15909375
transcript.pyannote[491].speaker SPEAKER_00
transcript.pyannote[491].start 9197.14221875
transcript.pyannote[491].end 9202.98096875
transcript.pyannote[492].speaker SPEAKER_05
transcript.pyannote[492].start 9202.37346875
transcript.pyannote[492].end 9203.35221875
transcript.pyannote[493].speaker SPEAKER_00
transcript.pyannote[493].start 9203.35221875
transcript.pyannote[493].end 9217.24034375
transcript.pyannote[494].speaker SPEAKER_05
transcript.pyannote[494].start 9208.66784375
transcript.pyannote[494].end 9209.61284375
transcript.pyannote[495].speaker SPEAKER_05
transcript.pyannote[495].start 9216.56534375
transcript.pyannote[495].end 9217.56096875
transcript.pyannote[496].speaker SPEAKER_00
transcript.pyannote[496].start 9217.57784375
transcript.pyannote[496].end 9223.46721875
transcript.pyannote[497].speaker SPEAKER_05
transcript.pyannote[497].start 9222.87659375
transcript.pyannote[497].end 9222.89346875
transcript.pyannote[498].speaker SPEAKER_22
transcript.pyannote[498].start 9222.89346875
transcript.pyannote[498].end 9223.95659375
transcript.pyannote[499].speaker SPEAKER_00
transcript.pyannote[499].start 9223.85534375
transcript.pyannote[499].end 9233.08596875
transcript.pyannote[500].speaker SPEAKER_05
transcript.pyannote[500].start 9232.41096875
transcript.pyannote[500].end 9233.45721875
transcript.pyannote[501].speaker SPEAKER_00
transcript.pyannote[501].start 9233.62596875
transcript.pyannote[501].end 9241.64159375
transcript.pyannote[502].speaker SPEAKER_06
transcript.pyannote[502].start 9241.23659375
transcript.pyannote[502].end 9242.14784375
transcript.pyannote[503].speaker SPEAKER_00
transcript.pyannote[503].start 9242.14784375
transcript.pyannote[503].end 9251.61471875
transcript.pyannote[504].speaker SPEAKER_29
transcript.pyannote[504].start 9251.61471875
transcript.pyannote[504].end 9255.31034375
transcript.pyannote[505].speaker SPEAKER_29
transcript.pyannote[505].start 9256.27221875
transcript.pyannote[505].end 9260.13659375
transcript.pyannote[506].speaker SPEAKER_29
transcript.pyannote[506].start 9260.65971875
transcript.pyannote[506].end 9263.39346875
transcript.pyannote[507].speaker SPEAKER_00
transcript.pyannote[507].start 9263.62971875
transcript.pyannote[507].end 9272.50596875
transcript.pyannote[508].speaker SPEAKER_29
transcript.pyannote[508].start 9272.50596875
transcript.pyannote[508].end 9278.49659375
transcript.pyannote[509].speaker SPEAKER_29
transcript.pyannote[509].start 9278.90159375
transcript.pyannote[509].end 9280.11659375
transcript.pyannote[510].speaker SPEAKER_29
transcript.pyannote[510].start 9280.70721875
transcript.pyannote[510].end 9284.30159375
transcript.pyannote[511].speaker SPEAKER_00
transcript.pyannote[511].start 9284.53784375
transcript.pyannote[511].end 9287.54159375
transcript.pyannote[512].speaker SPEAKER_00
transcript.pyannote[512].start 9287.99721875
transcript.pyannote[512].end 9293.92034375
transcript.pyannote[513].speaker SPEAKER_29
transcript.pyannote[513].start 9293.92034375
transcript.pyannote[513].end 9300.97409375
transcript.pyannote[514].speaker SPEAKER_29
transcript.pyannote[514].start 9301.44659375
transcript.pyannote[514].end 9304.75409375
transcript.pyannote[515].speaker SPEAKER_00
transcript.pyannote[515].start 9305.10846875
transcript.pyannote[515].end 9314.47409375
transcript.pyannote[516].speaker SPEAKER_29
transcript.pyannote[516].start 9314.15346875
transcript.pyannote[516].end 9320.63346875
transcript.pyannote[517].speaker SPEAKER_29
transcript.pyannote[517].start 9321.24096875
transcript.pyannote[517].end 9324.85221875
transcript.pyannote[518].speaker SPEAKER_00
transcript.pyannote[518].start 9325.15596875
transcript.pyannote[518].end 9335.21346875
transcript.pyannote[519].speaker SPEAKER_29
transcript.pyannote[519].start 9334.89284375
transcript.pyannote[519].end 9337.69409375
transcript.pyannote[520].speaker SPEAKER_29
transcript.pyannote[520].start 9338.09909375
transcript.pyannote[520].end 9341.17034375
transcript.pyannote[521].speaker SPEAKER_29
transcript.pyannote[521].start 9341.57534375
transcript.pyannote[521].end 9344.74784375
transcript.pyannote[522].speaker SPEAKER_00
transcript.pyannote[522].start 9344.84909375
transcript.pyannote[522].end 9366.63471875
transcript.pyannote[523].speaker SPEAKER_29
transcript.pyannote[523].start 9350.70471875
transcript.pyannote[523].end 9350.72159375
transcript.pyannote[524].speaker SPEAKER_05
transcript.pyannote[524].start 9350.72159375
transcript.pyannote[524].end 9351.26159375
transcript.pyannote[525].speaker SPEAKER_05
transcript.pyannote[525].start 9358.63596875
transcript.pyannote[525].end 9359.34471875
transcript.pyannote[526].speaker SPEAKER_05
transcript.pyannote[526].start 9365.80784375
transcript.pyannote[526].end 9366.71909375
transcript.pyannote[527].speaker SPEAKER_00
transcript.pyannote[527].start 9366.71909375
transcript.pyannote[527].end 9382.88534375
transcript.pyannote[528].speaker SPEAKER_05
transcript.pyannote[528].start 9366.73596875
transcript.pyannote[528].end 9366.75284375
transcript.pyannote[529].speaker SPEAKER_06
transcript.pyannote[529].start 9374.36346875
transcript.pyannote[529].end 9375.12284375
transcript.pyannote[530].speaker SPEAKER_06
transcript.pyannote[530].start 9382.44659375
transcript.pyannote[530].end 9383.20596875
transcript.pyannote[531].speaker SPEAKER_00
transcript.pyannote[531].start 9383.20596875
transcript.pyannote[531].end 9393.06096875
transcript.pyannote[532].speaker SPEAKER_05
transcript.pyannote[532].start 9392.28471875
transcript.pyannote[532].end 9393.21284375
transcript.pyannote[533].speaker SPEAKER_00
transcript.pyannote[533].start 9393.17909375
transcript.pyannote[533].end 9403.62471875
transcript.pyannote[534].speaker SPEAKER_06
transcript.pyannote[534].start 9400.57034375
transcript.pyannote[534].end 9401.65034375
transcript.pyannote[535].speaker SPEAKER_05
transcript.pyannote[535].start 9401.65034375
transcript.pyannote[535].end 9401.66721875
transcript.pyannote[536].speaker SPEAKER_00
transcript.pyannote[536].start 9403.84409375
transcript.pyannote[536].end 9407.50596875
transcript.pyannote[537].speaker SPEAKER_05
transcript.pyannote[537].start 9406.94909375
transcript.pyannote[537].end 9407.86034375
transcript.pyannote[538].speaker SPEAKER_00
transcript.pyannote[538].start 9407.87721875
transcript.pyannote[538].end 9407.89409375
transcript.pyannote[539].speaker SPEAKER_00
transcript.pyannote[539].start 9407.94471875
transcript.pyannote[539].end 9421.17471875
transcript.pyannote[540].speaker SPEAKER_06
transcript.pyannote[540].start 9420.80346875
transcript.pyannote[540].end 9420.87096875
transcript.pyannote[541].speaker SPEAKER_06
transcript.pyannote[541].start 9421.17471875
transcript.pyannote[541].end 9421.63034375
transcript.pyannote[542].speaker SPEAKER_00
transcript.pyannote[542].start 9422.27159375
transcript.pyannote[542].end 9436.95284375
transcript.pyannote[543].speaker SPEAKER_06
transcript.pyannote[543].start 9436.44659375
transcript.pyannote[543].end 9437.52659375
transcript.pyannote[544].speaker SPEAKER_00
transcript.pyannote[544].start 9437.56034375
transcript.pyannote[544].end 9443.39909375
transcript.pyannote[545].speaker SPEAKER_06
transcript.pyannote[545].start 9442.57221875
transcript.pyannote[545].end 9443.36534375
transcript.pyannote[546].speaker SPEAKER_06
transcript.pyannote[546].start 9443.39909375
transcript.pyannote[546].end 9443.48346875
transcript.pyannote[547].speaker SPEAKER_00
transcript.pyannote[547].start 9443.48346875
transcript.pyannote[547].end 9452.95034375
transcript.pyannote[548].speaker SPEAKER_05
transcript.pyannote[548].start 9452.20784375
transcript.pyannote[548].end 9453.22034375
transcript.pyannote[549].speaker SPEAKER_00
transcript.pyannote[549].start 9453.22034375
transcript.pyannote[549].end 9461.77596875
transcript.pyannote[550].speaker SPEAKER_05
transcript.pyannote[550].start 9460.96596875
transcript.pyannote[550].end 9462.01221875
transcript.pyannote[551].speaker SPEAKER_00
transcript.pyannote[551].start 9461.96159375
transcript.pyannote[551].end 9470.48346875
transcript.pyannote[552].speaker SPEAKER_05
transcript.pyannote[552].start 9469.69034375
transcript.pyannote[552].end 9470.70284375
transcript.pyannote[553].speaker SPEAKER_00
transcript.pyannote[553].start 9470.88846875
transcript.pyannote[553].end 9478.78596875
transcript.pyannote[554].speaker SPEAKER_05
transcript.pyannote[554].start 9478.07721875
transcript.pyannote[554].end 9479.12346875
transcript.pyannote[555].speaker SPEAKER_00
transcript.pyannote[555].start 9479.12346875
transcript.pyannote[555].end 9492.79221875
transcript.pyannote[556].speaker SPEAKER_05
transcript.pyannote[556].start 9492.08346875
transcript.pyannote[556].end 9493.09596875
transcript.pyannote[557].speaker SPEAKER_00
transcript.pyannote[557].start 9493.21409375
transcript.pyannote[557].end 9508.19909375
transcript.pyannote[558].speaker SPEAKER_05
transcript.pyannote[558].start 9507.50721875
transcript.pyannote[558].end 9508.57034375
transcript.pyannote[559].speaker SPEAKER_00
transcript.pyannote[559].start 9508.57034375
transcript.pyannote[559].end 9518.76284375
transcript.pyannote[560].speaker SPEAKER_05
transcript.pyannote[560].start 9517.96971875
transcript.pyannote[560].end 9519.03284375
transcript.pyannote[561].speaker SPEAKER_00
transcript.pyannote[561].start 9519.03284375
transcript.pyannote[561].end 9529.68096875
transcript.pyannote[562].speaker SPEAKER_06
transcript.pyannote[562].start 9528.97221875
transcript.pyannote[562].end 9530.03534375
transcript.pyannote[563].speaker SPEAKER_00
transcript.pyannote[563].start 9530.03534375
transcript.pyannote[563].end 9543.68721875
transcript.pyannote[564].speaker SPEAKER_06
transcript.pyannote[564].start 9543.01221875
transcript.pyannote[564].end 9543.97409375
transcript.pyannote[565].speaker SPEAKER_00
transcript.pyannote[565].start 9543.97409375
transcript.pyannote[565].end 9551.92221875
transcript.pyannote[566].speaker SPEAKER_06
transcript.pyannote[566].start 9551.28096875
transcript.pyannote[566].end 9552.31034375
transcript.pyannote[567].speaker SPEAKER_00
transcript.pyannote[567].start 9552.31034375
transcript.pyannote[567].end 9564.71346875
transcript.pyannote[568].speaker SPEAKER_00
transcript.pyannote[568].start 9565.86096875
transcript.pyannote[568].end 9572.35784375
transcript.pyannote[569].speaker SPEAKER_05
transcript.pyannote[569].start 9571.63221875
transcript.pyannote[569].end 9572.57721875
transcript.pyannote[570].speaker SPEAKER_00
transcript.pyannote[570].start 9572.71221875
transcript.pyannote[570].end 9582.19596875
transcript.pyannote[571].speaker SPEAKER_05
transcript.pyannote[571].start 9581.48721875
transcript.pyannote[571].end 9582.48284375
transcript.pyannote[572].speaker SPEAKER_00
transcript.pyannote[572].start 9582.48284375
transcript.pyannote[572].end 9588.08534375
transcript.pyannote[573].speaker SPEAKER_29
transcript.pyannote[573].start 9589.11471875
transcript.pyannote[573].end 9589.99221875
transcript.pyannote[574].speaker SPEAKER_00
transcript.pyannote[574].start 9590.26221875
transcript.pyannote[574].end 9595.17284375
transcript.pyannote[575].speaker SPEAKER_00
transcript.pyannote[575].start 9595.57784375
transcript.pyannote[575].end 9600.52221875
transcript.pyannote[576].speaker SPEAKER_06
transcript.pyannote[576].start 9600.35346875
transcript.pyannote[576].end 9601.19721875
transcript.pyannote[577].speaker SPEAKER_00
transcript.pyannote[577].start 9601.24784375
transcript.pyannote[577].end 9609.61784375
transcript.pyannote[578].speaker SPEAKER_29
transcript.pyannote[578].start 9609.53346875
transcript.pyannote[578].end 9610.42784375
transcript.pyannote[579].speaker SPEAKER_00
transcript.pyannote[579].start 9610.61346875
transcript.pyannote[579].end 9616.68846875
transcript.pyannote[580].speaker SPEAKER_29
transcript.pyannote[580].start 9616.40159375
transcript.pyannote[580].end 9623.52284375
transcript.pyannote[581].speaker SPEAKER_29
transcript.pyannote[581].start 9623.79284375
transcript.pyannote[581].end 9626.89784375
transcript.pyannote[582].speaker SPEAKER_29
transcript.pyannote[582].start 9629.83409375
transcript.pyannote[582].end 9631.31909375
transcript.pyannote[583].speaker SPEAKER_29
transcript.pyannote[583].start 9631.79159375
transcript.pyannote[583].end 9633.66471875
transcript.pyannote[584].speaker SPEAKER_29
transcript.pyannote[584].start 9634.00221875
transcript.pyannote[584].end 9638.35596875
transcript.pyannote[585].speaker SPEAKER_29
transcript.pyannote[585].start 9638.55846875
transcript.pyannote[585].end 9640.56659375
transcript.pyannote[586].speaker SPEAKER_29
transcript.pyannote[586].start 9640.95471875
transcript.pyannote[586].end 9643.89096875
transcript.pyannote[587].speaker SPEAKER_29
transcript.pyannote[587].start 9644.29596875
transcript.pyannote[587].end 9654.21846875
transcript.pyannote[588].speaker SPEAKER_29
transcript.pyannote[588].start 9654.60659375
transcript.pyannote[588].end 9656.04096875
transcript.pyannote[589].speaker SPEAKER_29
transcript.pyannote[589].start 9656.49659375
transcript.pyannote[589].end 9659.28096875
transcript.pyannote[590].speaker SPEAKER_29
transcript.pyannote[590].start 9659.65221875
transcript.pyannote[590].end 9668.03909375
transcript.pyannote[591].speaker SPEAKER_29
transcript.pyannote[591].start 9668.84909375
transcript.pyannote[591].end 9672.76409375
transcript.pyannote[592].speaker SPEAKER_00
transcript.pyannote[592].start 9673.00034375
transcript.pyannote[592].end 9725.02596875
transcript.pyannote[593].speaker SPEAKER_00
transcript.pyannote[593].start 9725.16096875
transcript.pyannote[593].end 9750.16971875
transcript.pyannote[594].speaker SPEAKER_29
transcript.pyannote[594].start 9751.33409375
transcript.pyannote[594].end 9754.45596875
transcript.pyannote[595].speaker SPEAKER_29
transcript.pyannote[595].start 9755.13096875
transcript.pyannote[595].end 9758.21909375
transcript.pyannote[596].speaker SPEAKER_00
transcript.pyannote[596].start 9758.50596875
transcript.pyannote[596].end 9799.84971875
transcript.pyannote[597].speaker SPEAKER_29
transcript.pyannote[597].start 9800.18721875
transcript.pyannote[597].end 9801.77346875
transcript.pyannote[598].speaker SPEAKER_29
transcript.pyannote[598].start 9801.90846875
transcript.pyannote[598].end 9804.18659375
transcript.pyannote[599].speaker SPEAKER_29
transcript.pyannote[599].start 9804.97971875
transcript.pyannote[599].end 9810.04221875
transcript.pyannote[600].speaker SPEAKER_29
transcript.pyannote[600].start 9810.54846875
transcript.pyannote[600].end 9823.35659375
transcript.pyannote[601].speaker SPEAKER_29
transcript.pyannote[601].start 9823.62659375
transcript.pyannote[601].end 9824.06534375
transcript.pyannote[602].speaker SPEAKER_29
transcript.pyannote[602].start 9824.21721875
transcript.pyannote[602].end 9826.68096875
transcript.pyannote[603].speaker SPEAKER_00
transcript.pyannote[603].start 9827.17034375
transcript.pyannote[603].end 9894.56909375
transcript.pyannote[604].speaker SPEAKER_00
transcript.pyannote[604].start 9894.85596875
transcript.pyannote[604].end 9898.12971875
transcript.pyannote[605].speaker SPEAKER_00
transcript.pyannote[605].start 9898.31534375
transcript.pyannote[605].end 9909.79034375
transcript.pyannote[606].speaker SPEAKER_00
transcript.pyannote[606].start 9910.22909375
transcript.pyannote[606].end 9943.67534375
transcript.pyannote[607].speaker SPEAKER_00
transcript.pyannote[607].start 9943.94534375
transcript.pyannote[607].end 9945.22784375
transcript.pyannote[608].speaker SPEAKER_00
transcript.pyannote[608].start 9945.36284375
transcript.pyannote[608].end 9968.53221875
transcript.pyannote[609].speaker SPEAKER_00
transcript.pyannote[609].start 9968.68409375
transcript.pyannote[609].end 9983.34846875
transcript.pyannote[610].speaker SPEAKER_29
transcript.pyannote[610].start 9983.78721875
transcript.pyannote[610].end 9989.89596875
transcript.pyannote[611].speaker SPEAKER_29
transcript.pyannote[611].start 9990.53721875
transcript.pyannote[611].end 10008.94784375
transcript.pyannote[612].speaker SPEAKER_20
transcript.pyannote[612].start 10016.57534375
transcript.pyannote[612].end 10017.99284375
transcript.pyannote[613].speaker SPEAKER_20
transcript.pyannote[613].start 10018.21221875
transcript.pyannote[613].end 10019.51159375
transcript.pyannote[614].speaker SPEAKER_20
transcript.pyannote[614].start 10020.10221875
transcript.pyannote[614].end 10027.07159375
transcript.pyannote[615].speaker SPEAKER_20
transcript.pyannote[615].start 10027.67909375
transcript.pyannote[615].end 10028.59034375
transcript.pyannote[616].speaker SPEAKER_20
transcript.pyannote[616].start 10028.77596875
transcript.pyannote[616].end 10032.04971875
transcript.pyannote[617].speaker SPEAKER_20
transcript.pyannote[617].start 10032.45471875
transcript.pyannote[617].end 10035.34034375
transcript.pyannote[618].speaker SPEAKER_20
transcript.pyannote[618].start 10035.72846875
transcript.pyannote[618].end 10038.93471875
transcript.pyannote[619].speaker SPEAKER_20
transcript.pyannote[619].start 10039.05284375
transcript.pyannote[619].end 10040.53784375
transcript.pyannote[620].speaker SPEAKER_20
transcript.pyannote[620].start 10041.28034375
transcript.pyannote[620].end 10044.60471875
transcript.pyannote[621].speaker SPEAKER_20
transcript.pyannote[621].start 10045.12784375
transcript.pyannote[621].end 10050.64596875
transcript.pyannote[622].speaker SPEAKER_20
transcript.pyannote[622].start 10051.43909375
transcript.pyannote[622].end 10053.14346875
transcript.pyannote[623].speaker SPEAKER_20
transcript.pyannote[623].start 10053.75096875
transcript.pyannote[623].end 10061.96909375
transcript.pyannote[624].speaker SPEAKER_20
transcript.pyannote[624].start 10062.27284375
transcript.pyannote[624].end 10084.31159375
transcript.pyannote[625].speaker SPEAKER_20
transcript.pyannote[625].start 10084.48034375
transcript.pyannote[625].end 10085.34096875
transcript.pyannote[626].speaker SPEAKER_20
transcript.pyannote[626].start 10085.66159375
transcript.pyannote[626].end 10086.01596875
transcript.pyannote[627].speaker SPEAKER_20
transcript.pyannote[627].start 10086.26909375
transcript.pyannote[627].end 10087.12971875
transcript.pyannote[628].speaker SPEAKER_20
transcript.pyannote[628].start 10087.34909375
transcript.pyannote[628].end 10091.75346875
transcript.pyannote[629].speaker SPEAKER_20
transcript.pyannote[629].start 10092.12471875
transcript.pyannote[629].end 10095.68534375
transcript.pyannote[630].speaker SPEAKER_20
transcript.pyannote[630].start 10095.88784375
transcript.pyannote[630].end 10100.10659375
transcript.pyannote[631].speaker SPEAKER_20
transcript.pyannote[631].start 10100.39346875
transcript.pyannote[631].end 10104.27471875
transcript.pyannote[632].speaker SPEAKER_20
transcript.pyannote[632].start 10104.47721875
transcript.pyannote[632].end 10107.26159375
transcript.pyannote[633].speaker SPEAKER_20
transcript.pyannote[633].start 10107.61596875
transcript.pyannote[633].end 10117.97721875
transcript.pyannote[634].speaker SPEAKER_20
transcript.pyannote[634].start 10118.19659375
transcript.pyannote[634].end 10122.56721875
transcript.pyannote[635].speaker SPEAKER_20
transcript.pyannote[635].start 10122.88784375
transcript.pyannote[635].end 10129.08096875
transcript.pyannote[636].speaker SPEAKER_20
transcript.pyannote[636].start 10129.43534375
transcript.pyannote[636].end 10134.04221875
transcript.pyannote[637].speaker SPEAKER_20
transcript.pyannote[637].start 10134.26159375
transcript.pyannote[637].end 10137.34971875
transcript.pyannote[638].speaker SPEAKER_20
transcript.pyannote[638].start 10137.70409375
transcript.pyannote[638].end 10138.91909375
transcript.pyannote[639].speaker SPEAKER_20
transcript.pyannote[639].start 10139.12159375
transcript.pyannote[639].end 10160.24909375
transcript.pyannote[640].speaker SPEAKER_20
transcript.pyannote[640].start 10160.28284375
transcript.pyannote[640].end 10162.88159375
transcript.pyannote[641].speaker SPEAKER_20
transcript.pyannote[641].start 10163.05034375
transcript.pyannote[641].end 10199.02784375
transcript.pyannote[642].speaker SPEAKER_29
transcript.pyannote[642].start 10199.02784375
transcript.pyannote[642].end 10201.10346875
transcript.pyannote[643].speaker SPEAKER_29
transcript.pyannote[643].start 10201.72784375
transcript.pyannote[643].end 10204.05659375
transcript.pyannote[644].speaker SPEAKER_29
transcript.pyannote[644].start 10204.90034375
transcript.pyannote[644].end 10212.94971875
transcript.pyannote[645].speaker SPEAKER_29
transcript.pyannote[645].start 10214.19846875
transcript.pyannote[645].end 10218.80534375
transcript.pyannote[646].speaker SPEAKER_22
transcript.pyannote[646].start 10219.26096875
transcript.pyannote[646].end 10219.64909375
transcript.pyannote[647].speaker SPEAKER_22
transcript.pyannote[647].start 10220.34096875
transcript.pyannote[647].end 10220.54346875
transcript.pyannote[648].speaker SPEAKER_20
transcript.pyannote[648].start 10227.69846875
transcript.pyannote[648].end 10234.29659375
transcript.pyannote[649].speaker SPEAKER_20
transcript.pyannote[649].start 10234.34721875
transcript.pyannote[649].end 10236.96284375
transcript.pyannote[650].speaker SPEAKER_20
transcript.pyannote[650].start 10237.16534375
transcript.pyannote[650].end 10240.03409375
transcript.pyannote[651].speaker SPEAKER_20
transcript.pyannote[651].start 10240.54034375
transcript.pyannote[651].end 10254.09096875
transcript.pyannote[652].speaker SPEAKER_20
transcript.pyannote[652].start 10254.31034375
transcript.pyannote[652].end 10257.88784375
transcript.pyannote[653].speaker SPEAKER_20
transcript.pyannote[653].start 10258.29284375
transcript.pyannote[653].end 10258.83284375
transcript.pyannote[654].speaker SPEAKER_20
transcript.pyannote[654].start 10259.79471875
transcript.pyannote[654].end 10273.75034375
transcript.pyannote[655].speaker SPEAKER_20
transcript.pyannote[655].start 10274.47596875
transcript.pyannote[655].end 10294.54034375
transcript.pyannote[656].speaker SPEAKER_20
transcript.pyannote[656].start 10294.92846875
transcript.pyannote[656].end 10302.45471875
transcript.pyannote[657].speaker SPEAKER_20
transcript.pyannote[657].start 10303.83846875
transcript.pyannote[657].end 10340.49096875
transcript.pyannote[658].speaker SPEAKER_20
transcript.pyannote[658].start 10340.71034375
transcript.pyannote[658].end 10369.63409375
transcript.pyannote[659].speaker SPEAKER_20
transcript.pyannote[659].start 10369.97159375
transcript.pyannote[659].end 10370.59596875
transcript.pyannote[660].speaker SPEAKER_20
transcript.pyannote[660].start 10371.22034375
transcript.pyannote[660].end 10393.00596875
transcript.pyannote[661].speaker SPEAKER_20
transcript.pyannote[661].start 10394.30534375
transcript.pyannote[661].end 10394.77784375
transcript.pyannote[662].speaker SPEAKER_20
transcript.pyannote[662].start 10395.46971875
transcript.pyannote[662].end 10410.03284375
transcript.pyannote[663].speaker SPEAKER_29
transcript.pyannote[663].start 10410.03284375
transcript.pyannote[663].end 10410.53909375
transcript.pyannote[664].speaker SPEAKER_20
transcript.pyannote[664].start 10410.53909375
transcript.pyannote[664].end 10410.55596875
transcript.pyannote[665].speaker SPEAKER_29
transcript.pyannote[665].start 10411.11284375
transcript.pyannote[665].end 10411.48409375
transcript.pyannote[666].speaker SPEAKER_29
transcript.pyannote[666].start 10411.80471875
transcript.pyannote[666].end 10414.42034375
transcript.pyannote[667].speaker SPEAKER_29
transcript.pyannote[667].start 10414.77471875
transcript.pyannote[667].end 10416.54659375
transcript.pyannote[668].speaker SPEAKER_29
transcript.pyannote[668].start 10416.61409375
transcript.pyannote[668].end 10418.89221875
transcript.pyannote[669].speaker SPEAKER_26
transcript.pyannote[669].start 10436.84721875
transcript.pyannote[669].end 10437.47159375
transcript.pyannote[670].speaker SPEAKER_26
transcript.pyannote[670].start 10438.23096875
transcript.pyannote[670].end 10439.07471875
transcript.pyannote[671].speaker SPEAKER_26
transcript.pyannote[671].start 10439.53034375
transcript.pyannote[671].end 10441.67346875
transcript.pyannote[672].speaker SPEAKER_26
transcript.pyannote[672].start 10442.01096875
transcript.pyannote[672].end 10445.80784375
transcript.pyannote[673].speaker SPEAKER_26
transcript.pyannote[673].start 10446.04409375
transcript.pyannote[673].end 10447.51221875
transcript.pyannote[674].speaker SPEAKER_26
transcript.pyannote[674].start 10448.96346875
transcript.pyannote[674].end 10450.02659375
transcript.pyannote[675].speaker SPEAKER_26
transcript.pyannote[675].start 10450.68471875
transcript.pyannote[675].end 10451.52846875
transcript.pyannote[676].speaker SPEAKER_26
transcript.pyannote[676].start 10452.08534375
transcript.pyannote[676].end 10452.77721875
transcript.pyannote[677].speaker SPEAKER_26
transcript.pyannote[677].start 10453.13159375
transcript.pyannote[677].end 10453.70534375
transcript.pyannote[678].speaker SPEAKER_26
transcript.pyannote[678].start 10454.21159375
transcript.pyannote[678].end 10456.05096875
transcript.pyannote[679].speaker SPEAKER_26
transcript.pyannote[679].start 10456.37159375
transcript.pyannote[679].end 10459.25721875
transcript.pyannote[680].speaker SPEAKER_26
transcript.pyannote[680].start 10460.18534375
transcript.pyannote[680].end 10460.75909375
transcript.pyannote[681].speaker SPEAKER_26
transcript.pyannote[681].start 10461.88971875
transcript.pyannote[681].end 10464.11721875
transcript.pyannote[682].speaker SPEAKER_26
transcript.pyannote[682].start 10464.31971875
transcript.pyannote[682].end 10472.67284375
transcript.pyannote[683].speaker SPEAKER_26
transcript.pyannote[683].start 10472.97659375
transcript.pyannote[683].end 10475.71034375
transcript.pyannote[684].speaker SPEAKER_26
transcript.pyannote[684].start 10476.01409375
transcript.pyannote[684].end 10480.40159375
transcript.pyannote[685].speaker SPEAKER_26
transcript.pyannote[685].start 10480.78971875
transcript.pyannote[685].end 10490.96534375
transcript.pyannote[686].speaker SPEAKER_26
transcript.pyannote[686].start 10491.80909375
transcript.pyannote[686].end 10494.71159375
transcript.pyannote[687].speaker SPEAKER_26
transcript.pyannote[687].start 10495.58909375
transcript.pyannote[687].end 10496.39909375
transcript.pyannote[688].speaker SPEAKER_26
transcript.pyannote[688].start 10497.12471875
transcript.pyannote[688].end 10500.43221875
transcript.pyannote[689].speaker SPEAKER_26
transcript.pyannote[689].start 10501.15784375
transcript.pyannote[689].end 10502.81159375
transcript.pyannote[690].speaker SPEAKER_26
transcript.pyannote[690].start 10503.41909375
transcript.pyannote[690].end 10506.50721875
transcript.pyannote[691].speaker SPEAKER_26
transcript.pyannote[691].start 10506.96284375
transcript.pyannote[691].end 10511.13096875
transcript.pyannote[692].speaker SPEAKER_26
transcript.pyannote[692].start 10512.05909375
transcript.pyannote[692].end 10515.02909375
transcript.pyannote[693].speaker SPEAKER_26
transcript.pyannote[693].start 10515.36659375
transcript.pyannote[693].end 10529.89596875
transcript.pyannote[694].speaker SPEAKER_26
transcript.pyannote[694].start 10530.53721875
transcript.pyannote[694].end 10534.78971875
transcript.pyannote[695].speaker SPEAKER_26
transcript.pyannote[695].start 10534.84034375
transcript.pyannote[695].end 10552.03596875
transcript.pyannote[696].speaker SPEAKER_26
transcript.pyannote[696].start 10552.96409375
transcript.pyannote[696].end 10553.55471875
transcript.pyannote[697].speaker SPEAKER_26
transcript.pyannote[697].start 10554.09471875
transcript.pyannote[697].end 10557.36846875
transcript.pyannote[698].speaker SPEAKER_26
transcript.pyannote[698].start 10557.72284375
transcript.pyannote[698].end 10558.73534375
transcript.pyannote[699].speaker SPEAKER_26
transcript.pyannote[699].start 10559.47784375
transcript.pyannote[699].end 10560.82784375
transcript.pyannote[700].speaker SPEAKER_26
transcript.pyannote[700].start 10561.45221875
transcript.pyannote[700].end 10572.74159375
transcript.pyannote[701].speaker SPEAKER_26
transcript.pyannote[701].start 10573.36596875
transcript.pyannote[701].end 10575.03659375
transcript.pyannote[702].speaker SPEAKER_26
transcript.pyannote[702].start 10575.34034375
transcript.pyannote[702].end 10595.65784375
transcript.pyannote[703].speaker SPEAKER_26
transcript.pyannote[703].start 10595.96159375
transcript.pyannote[703].end 10598.40846875
transcript.pyannote[704].speaker SPEAKER_26
transcript.pyannote[704].start 10598.91471875
transcript.pyannote[704].end 10615.67159375
transcript.pyannote[705].speaker SPEAKER_29
transcript.pyannote[705].start 10616.49846875
transcript.pyannote[705].end 10619.62034375
transcript.pyannote[706].speaker SPEAKER_29
transcript.pyannote[706].start 10620.56534375
transcript.pyannote[706].end 10621.29096875
transcript.pyannote[707].speaker SPEAKER_29
transcript.pyannote[707].start 10621.49346875
transcript.pyannote[707].end 10626.16784375
transcript.pyannote[708].speaker SPEAKER_29
transcript.pyannote[708].start 10626.57284375
transcript.pyannote[708].end 10638.90846875
transcript.pyannote[709].speaker SPEAKER_29
transcript.pyannote[709].start 10639.12784375
transcript.pyannote[709].end 10643.05971875
transcript.pyannote[710].speaker SPEAKER_29
transcript.pyannote[710].start 10714.81221875
transcript.pyannote[710].end 10718.03534375
transcript.pyannote[711].speaker SPEAKER_29
transcript.pyannote[711].start 10718.32221875
transcript.pyannote[711].end 10735.02846875
transcript.pyannote[712].speaker SPEAKER_29
transcript.pyannote[712].start 10735.82159375
transcript.pyannote[712].end 10738.03221875
transcript.pyannote[713].speaker SPEAKER_29
transcript.pyannote[713].start 10739.11221875
transcript.pyannote[713].end 10747.93784375
transcript.pyannote[714].speaker SPEAKER_29
transcript.pyannote[714].start 10748.30909375
transcript.pyannote[714].end 10752.93284375
transcript.pyannote[715].speaker SPEAKER_00
transcript.pyannote[715].start 10753.55721875
transcript.pyannote[715].end 10782.68346875
transcript.pyannote[716].speaker SPEAKER_00
transcript.pyannote[716].start 10783.07159375
transcript.pyannote[716].end 10788.10034375
transcript.pyannote[717].speaker SPEAKER_00
transcript.pyannote[717].start 10788.47159375
transcript.pyannote[717].end 10815.30284375
transcript.pyannote[718].speaker SPEAKER_00
transcript.pyannote[718].start 10815.64034375
transcript.pyannote[718].end 10827.01409375
transcript.pyannote[719].speaker SPEAKER_00
transcript.pyannote[719].start 10827.45284375
transcript.pyannote[719].end 10828.26284375
transcript.pyannote[720].speaker SPEAKER_00
transcript.pyannote[720].start 10829.14034375
transcript.pyannote[720].end 10866.34971875
transcript.pyannote[721].speaker SPEAKER_00
transcript.pyannote[721].start 10866.77159375
transcript.pyannote[721].end 10896.42096875
transcript.pyannote[722].speaker SPEAKER_00
transcript.pyannote[722].start 10896.77534375
transcript.pyannote[722].end 10898.44596875
transcript.pyannote[723].speaker SPEAKER_00
transcript.pyannote[723].start 10898.73284375
transcript.pyannote[723].end 10901.17971875
transcript.pyannote[724].speaker SPEAKER_00
transcript.pyannote[724].start 10901.50034375
transcript.pyannote[724].end 10907.86221875
transcript.pyannote[725].speaker SPEAKER_29
transcript.pyannote[725].start 10908.90846875
transcript.pyannote[725].end 10915.03409375
transcript.pyannote[726].speaker SPEAKER_29
transcript.pyannote[726].start 10915.42221875
transcript.pyannote[726].end 10924.02846875
transcript.pyannote[727].speaker SPEAKER_29
transcript.pyannote[727].start 10924.65284375
transcript.pyannote[727].end 10936.63409375
transcript.pyannote[728].speaker SPEAKER_11
transcript.pyannote[728].start 10949.30721875
transcript.pyannote[728].end 10956.32721875
transcript.pyannote[729].speaker SPEAKER_11
transcript.pyannote[729].start 10957.08659375
transcript.pyannote[729].end 10962.90846875
transcript.pyannote[730].speaker SPEAKER_11
transcript.pyannote[730].start 10963.76909375
transcript.pyannote[730].end 10965.22034375
transcript.pyannote[731].speaker SPEAKER_11
transcript.pyannote[731].start 10965.65909375
transcript.pyannote[731].end 10969.03409375
transcript.pyannote[732].speaker SPEAKER_11
transcript.pyannote[732].start 10969.57409375
transcript.pyannote[732].end 10970.26596875
transcript.pyannote[733].speaker SPEAKER_11
transcript.pyannote[733].start 10970.77221875
transcript.pyannote[733].end 10972.91534375
transcript.pyannote[734].speaker SPEAKER_11
transcript.pyannote[734].start 10973.23596875
transcript.pyannote[734].end 10976.34096875
transcript.pyannote[735].speaker SPEAKER_11
transcript.pyannote[735].start 10976.91471875
transcript.pyannote[735].end 10991.02221875
transcript.pyannote[736].speaker SPEAKER_11
transcript.pyannote[736].start 10991.46096875
transcript.pyannote[736].end 10994.24534375
transcript.pyannote[737].speaker SPEAKER_11
transcript.pyannote[737].start 10994.46471875
transcript.pyannote[737].end 10999.89846875
transcript.pyannote[738].speaker SPEAKER_11
transcript.pyannote[738].start 11000.42159375
transcript.pyannote[738].end 11007.30659375
transcript.pyannote[739].speaker SPEAKER_11
transcript.pyannote[739].start 11008.50471875
transcript.pyannote[739].end 11009.38221875
transcript.pyannote[740].speaker SPEAKER_11
transcript.pyannote[740].start 11010.14159375
transcript.pyannote[740].end 11012.89221875
transcript.pyannote[741].speaker SPEAKER_11
transcript.pyannote[741].start 11013.22971875
transcript.pyannote[741].end 11017.70159375
transcript.pyannote[742].speaker SPEAKER_11
transcript.pyannote[742].start 11018.14034375
transcript.pyannote[742].end 11021.04284375
transcript.pyannote[743].speaker SPEAKER_11
transcript.pyannote[743].start 11021.29596875
transcript.pyannote[743].end 11032.70346875
transcript.pyannote[744].speaker SPEAKER_11
transcript.pyannote[744].start 11033.26034375
transcript.pyannote[744].end 11036.98971875
transcript.pyannote[745].speaker SPEAKER_11
transcript.pyannote[745].start 11037.41159375
transcript.pyannote[745].end 11040.28034375
transcript.pyannote[746].speaker SPEAKER_11
transcript.pyannote[746].start 11040.82034375
transcript.pyannote[746].end 11051.70471875
transcript.pyannote[747].speaker SPEAKER_11
transcript.pyannote[747].start 11052.48096875
transcript.pyannote[747].end 11054.91096875
transcript.pyannote[748].speaker SPEAKER_11
transcript.pyannote[748].start 11055.36659375
transcript.pyannote[748].end 11062.72409375
transcript.pyannote[749].speaker SPEAKER_11
transcript.pyannote[749].start 11062.99409375
transcript.pyannote[749].end 11065.17096875
transcript.pyannote[750].speaker SPEAKER_11
transcript.pyannote[750].start 11065.35659375
transcript.pyannote[750].end 11066.72346875
transcript.pyannote[751].speaker SPEAKER_11
transcript.pyannote[751].start 11067.38159375
transcript.pyannote[751].end 11068.41096875
transcript.pyannote[752].speaker SPEAKER_11
transcript.pyannote[752].start 11068.98471875
transcript.pyannote[752].end 11073.84471875
transcript.pyannote[753].speaker SPEAKER_11
transcript.pyannote[753].start 11074.16534375
transcript.pyannote[753].end 11079.71721875
transcript.pyannote[754].speaker SPEAKER_11
transcript.pyannote[754].start 11081.82659375
transcript.pyannote[754].end 11084.86409375
transcript.pyannote[755].speaker SPEAKER_11
transcript.pyannote[755].start 11085.28596875
transcript.pyannote[755].end 11088.59346875
transcript.pyannote[756].speaker SPEAKER_11
transcript.pyannote[756].start 11089.35284375
transcript.pyannote[756].end 11092.18784375
transcript.pyannote[757].speaker SPEAKER_11
transcript.pyannote[757].start 11093.11596875
transcript.pyannote[757].end 11105.38409375
transcript.pyannote[758].speaker SPEAKER_11
transcript.pyannote[758].start 11106.09284375
transcript.pyannote[758].end 11107.69596875
transcript.pyannote[759].speaker SPEAKER_11
transcript.pyannote[759].start 11108.33721875
transcript.pyannote[759].end 11112.47159375
transcript.pyannote[760].speaker SPEAKER_11
transcript.pyannote[760].start 11112.85971875
transcript.pyannote[760].end 11116.26846875
transcript.pyannote[761].speaker SPEAKER_11
transcript.pyannote[761].start 11116.62284375
transcript.pyannote[761].end 11118.74909375
transcript.pyannote[762].speaker SPEAKER_11
transcript.pyannote[762].start 11119.30596875
transcript.pyannote[762].end 11128.68846875
transcript.pyannote[763].speaker SPEAKER_11
transcript.pyannote[763].start 11129.12721875
transcript.pyannote[763].end 11131.60784375
transcript.pyannote[764].speaker SPEAKER_11
transcript.pyannote[764].start 11132.06346875
transcript.pyannote[764].end 11133.91971875
transcript.pyannote[765].speaker SPEAKER_29
transcript.pyannote[765].start 11143.09971875
transcript.pyannote[765].end 11149.52909375
transcript.pyannote[766].speaker SPEAKER_17
transcript.pyannote[766].start 11165.34096875
transcript.pyannote[766].end 11171.14596875
transcript.pyannote[767].speaker SPEAKER_17
transcript.pyannote[767].start 11172.46221875
transcript.pyannote[767].end 11174.18346875
transcript.pyannote[768].speaker SPEAKER_17
transcript.pyannote[768].start 11174.70659375
transcript.pyannote[768].end 11178.36846875
transcript.pyannote[769].speaker SPEAKER_17
transcript.pyannote[769].start 11178.70596875
transcript.pyannote[769].end 11179.39784375
transcript.pyannote[770].speaker SPEAKER_17
transcript.pyannote[770].start 11179.97159375
transcript.pyannote[770].end 11180.95034375
transcript.pyannote[771].speaker SPEAKER_17
transcript.pyannote[771].start 11181.65909375
transcript.pyannote[771].end 11182.23284375
transcript.pyannote[772].speaker SPEAKER_17
transcript.pyannote[772].start 11183.12721875
transcript.pyannote[772].end 11186.08034375
transcript.pyannote[773].speaker SPEAKER_17
transcript.pyannote[773].start 11187.53159375
transcript.pyannote[773].end 11188.20659375
transcript.pyannote[774].speaker SPEAKER_17
transcript.pyannote[774].start 11189.64096875
transcript.pyannote[774].end 11190.21471875
transcript.pyannote[775].speaker SPEAKER_17
transcript.pyannote[775].start 11190.51846875
transcript.pyannote[775].end 11191.09221875
transcript.pyannote[776].speaker SPEAKER_17
transcript.pyannote[776].start 11192.35784375
transcript.pyannote[776].end 11193.40409375
transcript.pyannote[777].speaker SPEAKER_17
transcript.pyannote[777].start 11194.28159375
transcript.pyannote[777].end 11197.30221875
transcript.pyannote[778].speaker SPEAKER_17
transcript.pyannote[778].start 11197.89284375
transcript.pyannote[778].end 11198.75346875
transcript.pyannote[779].speaker SPEAKER_17
transcript.pyannote[779].start 11199.42846875
transcript.pyannote[779].end 11200.40721875
transcript.pyannote[780].speaker SPEAKER_17
transcript.pyannote[780].start 11201.13284375
transcript.pyannote[780].end 11205.52034375
transcript.pyannote[781].speaker SPEAKER_17
transcript.pyannote[781].start 11206.43159375
transcript.pyannote[781].end 11207.84909375
transcript.pyannote[782].speaker SPEAKER_17
transcript.pyannote[782].start 11208.01784375
transcript.pyannote[782].end 11208.03471875
transcript.pyannote[783].speaker SPEAKER_17
transcript.pyannote[783].start 11208.05159375
transcript.pyannote[783].end 11211.32534375
transcript.pyannote[784].speaker SPEAKER_17
transcript.pyannote[784].start 11211.83159375
transcript.pyannote[784].end 11213.75534375
transcript.pyannote[785].speaker SPEAKER_17
transcript.pyannote[785].start 11213.89034375
transcript.pyannote[785].end 11215.32471875
transcript.pyannote[786].speaker SPEAKER_17
transcript.pyannote[786].start 11216.82659375
transcript.pyannote[786].end 11217.46784375
transcript.pyannote[787].speaker SPEAKER_17
transcript.pyannote[787].start 11217.82221875
transcript.pyannote[787].end 11218.41284375
transcript.pyannote[788].speaker SPEAKER_17
transcript.pyannote[788].start 11218.73346875
transcript.pyannote[788].end 11220.57284375
transcript.pyannote[789].speaker SPEAKER_17
transcript.pyannote[789].start 11221.39971875
transcript.pyannote[789].end 11223.67784375
transcript.pyannote[790].speaker SPEAKER_17
transcript.pyannote[790].start 11224.62284375
transcript.pyannote[790].end 11228.18346875
transcript.pyannote[791].speaker SPEAKER_17
transcript.pyannote[791].start 11229.02721875
transcript.pyannote[791].end 11229.58409375
transcript.pyannote[792].speaker SPEAKER_17
transcript.pyannote[792].start 11229.76971875
transcript.pyannote[792].end 11230.54596875
transcript.pyannote[793].speaker SPEAKER_17
transcript.pyannote[793].start 11230.78221875
transcript.pyannote[793].end 11233.48221875
transcript.pyannote[794].speaker SPEAKER_17
transcript.pyannote[794].start 11233.97159375
transcript.pyannote[794].end 11236.78971875
transcript.pyannote[795].speaker SPEAKER_17
transcript.pyannote[795].start 11238.10596875
transcript.pyannote[795].end 11239.72596875
transcript.pyannote[796].speaker SPEAKER_17
transcript.pyannote[796].start 11239.99596875
transcript.pyannote[796].end 11241.37971875
transcript.pyannote[797].speaker SPEAKER_17
transcript.pyannote[797].start 11241.91971875
transcript.pyannote[797].end 11243.62409375
transcript.pyannote[798].speaker SPEAKER_17
transcript.pyannote[798].start 11244.55221875
transcript.pyannote[798].end 11245.73346875
transcript.pyannote[799].speaker SPEAKER_17
transcript.pyannote[799].start 11246.89784375
transcript.pyannote[799].end 11248.41659375
transcript.pyannote[800].speaker SPEAKER_17
transcript.pyannote[800].start 11248.55159375
transcript.pyannote[800].end 11249.26034375
transcript.pyannote[801].speaker SPEAKER_17
transcript.pyannote[801].start 11251.30221875
transcript.pyannote[801].end 11253.42846875
transcript.pyannote[802].speaker SPEAKER_17
transcript.pyannote[802].start 11254.03596875
transcript.pyannote[802].end 11255.84159375
transcript.pyannote[803].speaker SPEAKER_17
transcript.pyannote[803].start 11256.70221875
transcript.pyannote[803].end 11262.59159375
transcript.pyannote[804].speaker SPEAKER_17
transcript.pyannote[804].start 11263.11471875
transcript.pyannote[804].end 11264.56596875
transcript.pyannote[805].speaker SPEAKER_17
transcript.pyannote[805].start 11264.92034375
transcript.pyannote[805].end 11266.54034375
transcript.pyannote[806].speaker SPEAKER_17
transcript.pyannote[806].start 11267.90721875
transcript.pyannote[806].end 11268.73409375
transcript.pyannote[807].speaker SPEAKER_17
transcript.pyannote[807].start 11269.69596875
transcript.pyannote[807].end 11270.21909375
transcript.pyannote[808].speaker SPEAKER_17
transcript.pyannote[808].start 11270.77596875
transcript.pyannote[808].end 11272.14284375
transcript.pyannote[809].speaker SPEAKER_17
transcript.pyannote[809].start 11273.42534375
transcript.pyannote[809].end 11276.26034375
transcript.pyannote[810].speaker SPEAKER_17
transcript.pyannote[810].start 11276.80034375
transcript.pyannote[810].end 11278.58909375
transcript.pyannote[811].speaker SPEAKER_17
transcript.pyannote[811].start 11279.50034375
transcript.pyannote[811].end 11281.50846875
transcript.pyannote[812].speaker SPEAKER_17
transcript.pyannote[812].start 11281.96409375
transcript.pyannote[812].end 11283.53346875
transcript.pyannote[813].speaker SPEAKER_17
transcript.pyannote[813].start 11284.37721875
transcript.pyannote[813].end 11287.39784375
transcript.pyannote[814].speaker SPEAKER_17
transcript.pyannote[814].start 11288.20784375
transcript.pyannote[814].end 11300.22284375
transcript.pyannote[815].speaker SPEAKER_17
transcript.pyannote[815].start 11301.16784375
transcript.pyannote[815].end 11303.64846875
transcript.pyannote[816].speaker SPEAKER_17
transcript.pyannote[816].start 11303.88471875
transcript.pyannote[816].end 11309.30159375
transcript.pyannote[817].speaker SPEAKER_17
transcript.pyannote[817].start 11309.97659375
transcript.pyannote[817].end 11312.03534375
transcript.pyannote[818].speaker SPEAKER_17
transcript.pyannote[818].start 11312.92971875
transcript.pyannote[818].end 11314.53284375
transcript.pyannote[819].speaker SPEAKER_17
transcript.pyannote[819].start 11315.69721875
transcript.pyannote[819].end 11316.62534375
transcript.pyannote[820].speaker SPEAKER_17
transcript.pyannote[820].start 11317.67159375
transcript.pyannote[820].end 11324.59034375
transcript.pyannote[821].speaker SPEAKER_17
transcript.pyannote[821].start 11325.41721875
transcript.pyannote[821].end 11327.05409375
transcript.pyannote[822].speaker SPEAKER_17
transcript.pyannote[822].start 11328.26909375
transcript.pyannote[822].end 11330.12534375
transcript.pyannote[823].speaker SPEAKER_17
transcript.pyannote[823].start 11330.61471875
transcript.pyannote[823].end 11331.54284375
transcript.pyannote[824].speaker SPEAKER_17
transcript.pyannote[824].start 11332.55534375
transcript.pyannote[824].end 11334.02346875
transcript.pyannote[825].speaker SPEAKER_17
transcript.pyannote[825].start 11334.49596875
transcript.pyannote[825].end 11338.98471875
transcript.pyannote[826].speaker SPEAKER_17
transcript.pyannote[826].start 11339.57534375
transcript.pyannote[826].end 11343.82784375
transcript.pyannote[827].speaker SPEAKER_17
transcript.pyannote[827].start 11343.96284375
transcript.pyannote[827].end 11344.03034375
transcript.pyannote[828].speaker SPEAKER_17
transcript.pyannote[828].start 11344.08096875
transcript.pyannote[828].end 11346.17346875
transcript.pyannote[829].speaker SPEAKER_17
transcript.pyannote[829].start 11346.71346875
transcript.pyannote[829].end 11347.21971875
transcript.pyannote[830].speaker SPEAKER_29
transcript.pyannote[830].start 11347.21971875
transcript.pyannote[830].end 11347.23659375
transcript.pyannote[831].speaker SPEAKER_17
transcript.pyannote[831].start 11347.43909375
transcript.pyannote[831].end 11349.02534375
transcript.pyannote[832].speaker SPEAKER_29
transcript.pyannote[832].start 11349.02534375
transcript.pyannote[832].end 11349.09284375
transcript.pyannote[833].speaker SPEAKER_17
transcript.pyannote[833].start 11349.09284375
transcript.pyannote[833].end 11349.68346875
transcript.pyannote[834].speaker SPEAKER_29
transcript.pyannote[834].start 11349.68346875
transcript.pyannote[834].end 11349.70034375
transcript.pyannote[835].speaker SPEAKER_29
transcript.pyannote[835].start 11351.48909375
transcript.pyannote[835].end 11355.16784375
transcript.pyannote[836].speaker SPEAKER_29
transcript.pyannote[836].start 11355.42096875
transcript.pyannote[836].end 11357.09159375
transcript.pyannote[837].speaker SPEAKER_11
transcript.pyannote[837].start 11368.16159375
transcript.pyannote[837].end 11373.59534375
transcript.pyannote[838].speaker SPEAKER_11
transcript.pyannote[838].start 11373.88221875
transcript.pyannote[838].end 11382.11721875
transcript.pyannote[839].speaker SPEAKER_11
transcript.pyannote[839].start 11382.48846875
transcript.pyannote[839].end 11388.63096875
transcript.pyannote[840].speaker SPEAKER_11
transcript.pyannote[840].start 11389.23846875
transcript.pyannote[840].end 11393.03534375
transcript.pyannote[841].speaker SPEAKER_11
transcript.pyannote[841].start 11393.45721875
transcript.pyannote[841].end 11397.89534375
transcript.pyannote[842].speaker SPEAKER_11
transcript.pyannote[842].start 11398.24971875
transcript.pyannote[842].end 11408.57721875
transcript.pyannote[843].speaker SPEAKER_11
transcript.pyannote[843].start 11409.16784375
transcript.pyannote[843].end 11415.64784375
transcript.pyannote[844].speaker SPEAKER_11
transcript.pyannote[844].start 11416.40721875
transcript.pyannote[844].end 11426.21159375
transcript.pyannote[845].speaker SPEAKER_11
transcript.pyannote[845].start 11426.71784375
transcript.pyannote[845].end 11448.03096875
transcript.pyannote[846].speaker SPEAKER_11
transcript.pyannote[846].start 11448.87471875
transcript.pyannote[846].end 11449.90409375
transcript.pyannote[847].speaker SPEAKER_11
transcript.pyannote[847].start 11449.93784375
transcript.pyannote[847].end 11453.90346875
transcript.pyannote[848].speaker SPEAKER_00
transcript.pyannote[848].start 11450.15721875
transcript.pyannote[848].end 11450.98409375
transcript.pyannote[849].speaker SPEAKER_11
transcript.pyannote[849].start 11454.37596875
transcript.pyannote[849].end 11461.81784375
transcript.pyannote[850].speaker SPEAKER_11
transcript.pyannote[850].start 11462.15534375
transcript.pyannote[850].end 11469.98534375
transcript.pyannote[851].speaker SPEAKER_11
transcript.pyannote[851].start 11470.25534375
transcript.pyannote[851].end 11477.32596875
transcript.pyannote[852].speaker SPEAKER_11
transcript.pyannote[852].start 11477.96721875
transcript.pyannote[852].end 11500.90034375
transcript.pyannote[853].speaker SPEAKER_11
transcript.pyannote[853].start 11501.94659375
transcript.pyannote[853].end 11503.95471875
transcript.pyannote[854].speaker SPEAKER_11
transcript.pyannote[854].start 11504.35971875
transcript.pyannote[854].end 11508.12284375
transcript.pyannote[855].speaker SPEAKER_11
transcript.pyannote[855].start 11508.71346875
transcript.pyannote[855].end 11516.32409375
transcript.pyannote[856].speaker SPEAKER_11
transcript.pyannote[856].start 11516.67846875
transcript.pyannote[856].end 11525.52096875
transcript.pyannote[857].speaker SPEAKER_11
transcript.pyannote[857].start 11525.74034375
transcript.pyannote[857].end 11552.67284375
transcript.pyannote[858].speaker SPEAKER_29
transcript.pyannote[858].start 11555.89596875
transcript.pyannote[858].end 11558.25846875
transcript.pyannote[859].speaker SPEAKER_29
transcript.pyannote[859].start 11558.44409375
transcript.pyannote[859].end 11576.44971875
transcript.pyannote[860].speaker SPEAKER_29
transcript.pyannote[860].start 11646.37971875
transcript.pyannote[860].end 11661.21284375
transcript.pyannote[861].speaker SPEAKER_29
transcript.pyannote[861].start 11661.56721875
transcript.pyannote[861].end 11665.44846875
transcript.pyannote[862].speaker SPEAKER_29
transcript.pyannote[862].start 11665.65096875
transcript.pyannote[862].end 11667.72659375
transcript.pyannote[863].speaker SPEAKER_29
transcript.pyannote[863].start 11667.94596875
transcript.pyannote[863].end 11673.19409375
transcript.pyannote[864].speaker SPEAKER_29
transcript.pyannote[864].start 11673.63284375
transcript.pyannote[864].end 11680.02846875
transcript.pyannote[865].speaker SPEAKER_29
transcript.pyannote[865].start 11680.24784375
transcript.pyannote[865].end 11683.65659375
transcript.pyannote[866].speaker SPEAKER_00
transcript.pyannote[866].start 11684.04471875
transcript.pyannote[866].end 11745.08159375
transcript.pyannote[867].speaker SPEAKER_00
transcript.pyannote[867].start 11745.48659375
transcript.pyannote[867].end 11764.15034375
transcript.pyannote[868].speaker SPEAKER_29
transcript.pyannote[868].start 11764.63971875
transcript.pyannote[868].end 11769.71909375
transcript.pyannote[869].speaker SPEAKER_29
transcript.pyannote[869].start 11769.92159375
transcript.pyannote[869].end 11774.54534375
transcript.pyannote[870].speaker SPEAKER_29
transcript.pyannote[870].start 11775.00096875
transcript.pyannote[870].end 11781.88596875
transcript.pyannote[871].speaker SPEAKER_29
transcript.pyannote[871].start 11782.35846875
transcript.pyannote[871].end 11785.96971875
transcript.pyannote[872].speaker SPEAKER_29
transcript.pyannote[872].start 11786.42534375
transcript.pyannote[872].end 11792.60159375
transcript.pyannote[873].speaker SPEAKER_11
transcript.pyannote[873].start 11806.57409375
transcript.pyannote[873].end 11809.32471875
transcript.pyannote[874].speaker SPEAKER_11
transcript.pyannote[874].start 11810.43846875
transcript.pyannote[874].end 11819.24721875
transcript.pyannote[875].speaker SPEAKER_11
transcript.pyannote[875].start 11820.68159375
transcript.pyannote[875].end 11826.09846875
transcript.pyannote[876].speaker SPEAKER_11
transcript.pyannote[876].start 11826.38534375
transcript.pyannote[876].end 11831.59971875
transcript.pyannote[877].speaker SPEAKER_11
transcript.pyannote[877].start 11831.76846875
transcript.pyannote[877].end 11835.68346875
transcript.pyannote[878].speaker SPEAKER_11
transcript.pyannote[878].start 11836.10534375
transcript.pyannote[878].end 11855.03909375
transcript.pyannote[879].speaker SPEAKER_11
transcript.pyannote[879].start 11855.05596875
transcript.pyannote[879].end 11858.32971875
transcript.pyannote[880].speaker SPEAKER_11
transcript.pyannote[880].start 11858.75159375
transcript.pyannote[880].end 11864.91096875
transcript.pyannote[881].speaker SPEAKER_11
transcript.pyannote[881].start 11865.46784375
transcript.pyannote[881].end 11867.98221875
transcript.pyannote[882].speaker SPEAKER_11
transcript.pyannote[882].start 11868.31971875
transcript.pyannote[882].end 11875.45784375
transcript.pyannote[883].speaker SPEAKER_11
transcript.pyannote[883].start 11875.94721875
transcript.pyannote[883].end 11928.61409375
transcript.pyannote[884].speaker SPEAKER_11
transcript.pyannote[884].start 11928.69846875
transcript.pyannote[884].end 11938.53659375
transcript.pyannote[885].speaker SPEAKER_11
transcript.pyannote[885].start 11938.72221875
transcript.pyannote[885].end 11944.17284375
transcript.pyannote[886].speaker SPEAKER_11
transcript.pyannote[886].start 11944.47659375
transcript.pyannote[886].end 11964.50721875
transcript.pyannote[887].speaker SPEAKER_11
transcript.pyannote[887].start 11964.81096875
transcript.pyannote[887].end 11965.63784375
transcript.pyannote[888].speaker SPEAKER_11
transcript.pyannote[888].start 11966.24534375
transcript.pyannote[888].end 11988.03096875
transcript.pyannote[889].speaker SPEAKER_29
transcript.pyannote[889].start 11988.08159375
transcript.pyannote[889].end 11994.66284375
transcript.pyannote[890].speaker SPEAKER_11
transcript.pyannote[890].start 12003.50534375
transcript.pyannote[890].end 12100.73909375
transcript.pyannote[891].speaker SPEAKER_11
transcript.pyannote[891].start 12100.97534375
transcript.pyannote[891].end 12180.49034375
transcript.pyannote[892].speaker SPEAKER_29
transcript.pyannote[892].start 12181.97534375
transcript.pyannote[892].end 12187.64534375
transcript.pyannote[893].speaker SPEAKER_20
transcript.pyannote[893].start 12199.81221875
transcript.pyannote[893].end 12202.36034375
transcript.pyannote[894].speaker SPEAKER_20
transcript.pyannote[894].start 12203.30534375
transcript.pyannote[894].end 12205.09409375
transcript.pyannote[895].speaker SPEAKER_20
transcript.pyannote[895].start 12205.71846875
transcript.pyannote[895].end 12210.78096875
transcript.pyannote[896].speaker SPEAKER_20
transcript.pyannote[896].start 12211.81034375
transcript.pyannote[896].end 12212.99159375
transcript.pyannote[897].speaker SPEAKER_20
transcript.pyannote[897].start 12213.49784375
transcript.pyannote[897].end 12214.72971875
transcript.pyannote[898].speaker SPEAKER_20
transcript.pyannote[898].start 12215.59034375
transcript.pyannote[898].end 12216.51846875
transcript.pyannote[899].speaker SPEAKER_20
transcript.pyannote[899].start 12216.60284375
transcript.pyannote[899].end 12217.90221875
transcript.pyannote[900].speaker SPEAKER_20
transcript.pyannote[900].start 12218.44221875
transcript.pyannote[900].end 12221.81721875
transcript.pyannote[901].speaker SPEAKER_20
transcript.pyannote[901].start 12222.52596875
transcript.pyannote[901].end 12225.32721875
transcript.pyannote[902].speaker SPEAKER_20
transcript.pyannote[902].start 12226.64346875
transcript.pyannote[902].end 12227.48721875
transcript.pyannote[903].speaker SPEAKER_20
transcript.pyannote[903].start 12227.85846875
transcript.pyannote[903].end 12230.62596875
transcript.pyannote[904].speaker SPEAKER_20
transcript.pyannote[904].start 12231.30096875
transcript.pyannote[904].end 12236.71784375
transcript.pyannote[905].speaker SPEAKER_20
transcript.pyannote[905].start 12237.74721875
transcript.pyannote[905].end 12239.67096875
transcript.pyannote[906].speaker SPEAKER_20
transcript.pyannote[906].start 12240.14346875
transcript.pyannote[906].end 12242.50596875
transcript.pyannote[907].speaker SPEAKER_20
transcript.pyannote[907].start 12242.69159375
transcript.pyannote[907].end 12243.88971875
transcript.pyannote[908].speaker SPEAKER_20
transcript.pyannote[908].start 12244.41284375
transcript.pyannote[908].end 12246.87659375
transcript.pyannote[909].speaker SPEAKER_20
transcript.pyannote[909].start 12248.69909375
transcript.pyannote[909].end 12249.39096875
transcript.pyannote[910].speaker SPEAKER_20
transcript.pyannote[910].start 12249.59346875
transcript.pyannote[910].end 12250.99409375
transcript.pyannote[911].speaker SPEAKER_20
transcript.pyannote[911].start 12251.97284375
transcript.pyannote[911].end 12253.94721875
transcript.pyannote[912].speaker SPEAKER_20
transcript.pyannote[912].start 12254.45346875
transcript.pyannote[912].end 12261.89534375
transcript.pyannote[913].speaker SPEAKER_20
transcript.pyannote[913].start 12262.43534375
transcript.pyannote[913].end 12263.83596875
transcript.pyannote[914].speaker SPEAKER_20
transcript.pyannote[914].start 12264.64596875
transcript.pyannote[914].end 12266.92409375
transcript.pyannote[915].speaker SPEAKER_20
transcript.pyannote[915].start 12267.39659375
transcript.pyannote[915].end 12268.96596875
transcript.pyannote[916].speaker SPEAKER_20
transcript.pyannote[916].start 12270.31596875
transcript.pyannote[916].end 12274.07909375
transcript.pyannote[917].speaker SPEAKER_20
transcript.pyannote[917].start 12274.77096875
transcript.pyannote[917].end 12276.89721875
transcript.pyannote[918].speaker SPEAKER_20
transcript.pyannote[918].start 12278.29784375
transcript.pyannote[918].end 12280.84596875
transcript.pyannote[919].speaker SPEAKER_20
transcript.pyannote[919].start 12281.38596875
transcript.pyannote[919].end 12282.63471875
transcript.pyannote[920].speaker SPEAKER_20
transcript.pyannote[920].start 12283.57971875
transcript.pyannote[920].end 12284.40659375
transcript.pyannote[921].speaker SPEAKER_20
transcript.pyannote[921].start 12285.21659375
transcript.pyannote[921].end 12285.80721875
transcript.pyannote[922].speaker SPEAKER_20
transcript.pyannote[922].start 12286.21221875
transcript.pyannote[922].end 12287.35971875
transcript.pyannote[923].speaker SPEAKER_20
transcript.pyannote[923].start 12288.40596875
transcript.pyannote[923].end 12290.41409375
transcript.pyannote[924].speaker SPEAKER_20
transcript.pyannote[924].start 12292.03409375
transcript.pyannote[924].end 12296.18534375
transcript.pyannote[925].speaker SPEAKER_20
transcript.pyannote[925].start 12297.09659375
transcript.pyannote[925].end 12300.60659375
transcript.pyannote[926].speaker SPEAKER_20
transcript.pyannote[926].start 12301.06221875
transcript.pyannote[926].end 12303.45846875
transcript.pyannote[927].speaker SPEAKER_20
transcript.pyannote[927].start 12304.20096875
transcript.pyannote[927].end 12306.31034375
transcript.pyannote[928].speaker SPEAKER_20
transcript.pyannote[928].start 12307.01909375
transcript.pyannote[928].end 12308.33534375
transcript.pyannote[929].speaker SPEAKER_20
transcript.pyannote[929].start 12308.52096875
transcript.pyannote[929].end 12313.43159375
transcript.pyannote[930].speaker SPEAKER_20
transcript.pyannote[930].start 12314.49471875
transcript.pyannote[930].end 12315.62534375
transcript.pyannote[931].speaker SPEAKER_20
transcript.pyannote[931].start 12315.89534375
transcript.pyannote[931].end 12317.34659375
transcript.pyannote[932].speaker SPEAKER_20
transcript.pyannote[932].start 12317.43096875
transcript.pyannote[932].end 12318.98346875
transcript.pyannote[933].speaker SPEAKER_20
transcript.pyannote[933].start 12319.60784375
transcript.pyannote[933].end 12320.83971875
transcript.pyannote[934].speaker SPEAKER_20
transcript.pyannote[934].start 12322.34159375
transcript.pyannote[934].end 12326.17221875
transcript.pyannote[935].speaker SPEAKER_00
transcript.pyannote[935].start 12322.44284375
transcript.pyannote[935].end 12322.72971875
transcript.pyannote[936].speaker SPEAKER_11
transcript.pyannote[936].start 12322.72971875
transcript.pyannote[936].end 12323.08409375
transcript.pyannote[937].speaker SPEAKER_00
transcript.pyannote[937].start 12323.08409375
transcript.pyannote[937].end 12323.69159375
transcript.pyannote[938].speaker SPEAKER_20
transcript.pyannote[938].start 12326.93159375
transcript.pyannote[938].end 12328.88909375
transcript.pyannote[939].speaker SPEAKER_20
transcript.pyannote[939].start 12330.74534375
transcript.pyannote[939].end 12332.28096875
transcript.pyannote[940].speaker SPEAKER_20
transcript.pyannote[940].start 12333.96846875
transcript.pyannote[940].end 12335.18346875
transcript.pyannote[941].speaker SPEAKER_20
transcript.pyannote[941].start 12336.01034375
transcript.pyannote[941].end 12337.25909375
transcript.pyannote[942].speaker SPEAKER_20
transcript.pyannote[942].start 12338.13659375
transcript.pyannote[942].end 12339.18284375
transcript.pyannote[943].speaker SPEAKER_20
transcript.pyannote[943].start 12340.68471875
transcript.pyannote[943].end 12341.89971875
transcript.pyannote[944].speaker SPEAKER_20
transcript.pyannote[944].start 12342.40596875
transcript.pyannote[944].end 12344.19471875
transcript.pyannote[945].speaker SPEAKER_20
transcript.pyannote[945].start 12345.57846875
transcript.pyannote[945].end 12347.02971875
transcript.pyannote[946].speaker SPEAKER_20
transcript.pyannote[946].start 12349.12221875
transcript.pyannote[946].end 12350.75909375
transcript.pyannote[947].speaker SPEAKER_20
transcript.pyannote[947].start 12351.50159375
transcript.pyannote[947].end 12352.42971875
transcript.pyannote[948].speaker SPEAKER_20
transcript.pyannote[948].start 12353.91471875
transcript.pyannote[948].end 12354.64034375
transcript.pyannote[949].speaker SPEAKER_20
transcript.pyannote[949].start 12355.29846875
transcript.pyannote[949].end 12357.18846875
transcript.pyannote[950].speaker SPEAKER_20
transcript.pyannote[950].start 12358.18409375
transcript.pyannote[950].end 12359.16284375
transcript.pyannote[951].speaker SPEAKER_20
transcript.pyannote[951].start 12359.48346875
transcript.pyannote[951].end 12362.47034375
transcript.pyannote[952].speaker SPEAKER_20
transcript.pyannote[952].start 12363.34784375
transcript.pyannote[952].end 12367.68471875
transcript.pyannote[953].speaker SPEAKER_20
transcript.pyannote[953].start 12368.42721875
transcript.pyannote[953].end 12369.60846875
transcript.pyannote[954].speaker SPEAKER_20
transcript.pyannote[954].start 12370.28346875
transcript.pyannote[954].end 12372.32534375
transcript.pyannote[955].speaker SPEAKER_20
transcript.pyannote[955].start 12373.20284375
transcript.pyannote[955].end 12379.66596875
transcript.pyannote[956].speaker SPEAKER_29
transcript.pyannote[956].start 12381.08346875
transcript.pyannote[956].end 12402.48096875
transcript.pyannote[957].speaker SPEAKER_29
transcript.pyannote[957].start 12471.97221875
transcript.pyannote[957].end 12475.11096875
transcript.pyannote[958].speaker SPEAKER_29
transcript.pyannote[958].start 12475.87034375
transcript.pyannote[958].end 12498.65159375
transcript.pyannote[959].speaker SPEAKER_29
transcript.pyannote[959].start 21610.24034375
transcript.pyannote[959].end 21615.11721875
transcript.pyannote[960].speaker SPEAKER_29
transcript.pyannote[960].start 21615.69096875
transcript.pyannote[960].end 21625.14096875
transcript.pyannote[961].speaker SPEAKER_23
transcript.pyannote[961].start 21625.88346875
transcript.pyannote[961].end 21629.76471875
transcript.pyannote[962].speaker SPEAKER_23
transcript.pyannote[962].start 21629.96721875
transcript.pyannote[962].end 21645.44159375
transcript.pyannote[963].speaker SPEAKER_29
transcript.pyannote[963].start 21647.44971875
transcript.pyannote[963].end 21654.53721875
transcript.pyannote[964].speaker SPEAKER_29
transcript.pyannote[964].start 21655.87034375
transcript.pyannote[964].end 21657.13596875
transcript.pyannote[965].speaker SPEAKER_29
transcript.pyannote[965].start 21657.18659375
transcript.pyannote[965].end 21660.79784375
transcript.pyannote[966].speaker SPEAKER_03
transcript.pyannote[966].start 21677.82471875
transcript.pyannote[966].end 21680.91284375
transcript.pyannote[967].speaker SPEAKER_29
transcript.pyannote[967].start 21681.36846875
transcript.pyannote[967].end 21681.92534375
transcript.pyannote[968].speaker SPEAKER_29
transcript.pyannote[968].start 21682.81971875
transcript.pyannote[968].end 21684.27096875
transcript.pyannote[969].speaker SPEAKER_07
transcript.pyannote[969].start 21697.12971875
transcript.pyannote[969].end 21710.76471875
transcript.pyannote[970].speaker SPEAKER_15
transcript.pyannote[970].start 21697.28159375
transcript.pyannote[970].end 21697.41659375
transcript.pyannote[971].speaker SPEAKER_15
transcript.pyannote[971].start 21710.05596875
transcript.pyannote[971].end 21710.46096875
transcript.pyannote[972].speaker SPEAKER_07
transcript.pyannote[972].start 21711.60846875
transcript.pyannote[972].end 21711.65909375
transcript.pyannote[973].speaker SPEAKER_15
transcript.pyannote[973].start 21711.65909375
transcript.pyannote[973].end 21713.19471875
transcript.pyannote[974].speaker SPEAKER_15
transcript.pyannote[974].start 21713.56596875
transcript.pyannote[974].end 21715.65846875
transcript.pyannote[975].speaker SPEAKER_15
transcript.pyannote[975].start 21716.11409375
transcript.pyannote[975].end 21721.07534375
transcript.pyannote[976].speaker SPEAKER_15
transcript.pyannote[976].start 21721.22721875
transcript.pyannote[976].end 21723.91034375
transcript.pyannote[977].speaker SPEAKER_15
transcript.pyannote[977].start 21724.04534375
transcript.pyannote[977].end 21726.37409375
transcript.pyannote[978].speaker SPEAKER_15
transcript.pyannote[978].start 21726.67784375
transcript.pyannote[978].end 21738.15284375
transcript.pyannote[979].speaker SPEAKER_07
transcript.pyannote[979].start 21737.25846875
transcript.pyannote[979].end 21739.41846875
transcript.pyannote[980].speaker SPEAKER_15
transcript.pyannote[980].start 21739.41846875
transcript.pyannote[980].end 21739.53659375
transcript.pyannote[981].speaker SPEAKER_07
transcript.pyannote[981].start 21739.53659375
transcript.pyannote[981].end 21739.82346875
transcript.pyannote[982].speaker SPEAKER_15
transcript.pyannote[982].start 21739.82346875
transcript.pyannote[982].end 21740.58284375
transcript.pyannote[983].speaker SPEAKER_15
transcript.pyannote[983].start 21740.93721875
transcript.pyannote[983].end 21743.46846875
transcript.pyannote[984].speaker SPEAKER_15
transcript.pyannote[984].start 21743.70471875
transcript.pyannote[984].end 21753.42471875
transcript.pyannote[985].speaker SPEAKER_24
transcript.pyannote[985].start 21749.29034375
transcript.pyannote[985].end 21754.69034375
transcript.pyannote[986].speaker SPEAKER_24
transcript.pyannote[986].start 21754.87596875
transcript.pyannote[986].end 21777.03284375
transcript.pyannote[987].speaker SPEAKER_00
transcript.pyannote[987].start 21769.32096875
transcript.pyannote[987].end 21769.43909375
transcript.pyannote[988].speaker SPEAKER_00
transcript.pyannote[988].start 21769.45596875
transcript.pyannote[988].end 21769.82721875
transcript.pyannote[989].speaker SPEAKER_24
transcript.pyannote[989].start 21777.21846875
transcript.pyannote[989].end 21781.03221875
transcript.pyannote[990].speaker SPEAKER_24
transcript.pyannote[990].start 21781.38659375
transcript.pyannote[990].end 21786.53346875
transcript.pyannote[991].speaker SPEAKER_07
transcript.pyannote[991].start 21784.40721875
transcript.pyannote[991].end 21797.80596875
transcript.pyannote[992].speaker SPEAKER_24
transcript.pyannote[992].start 21786.82034375
transcript.pyannote[992].end 21788.57534375
transcript.pyannote[993].speaker SPEAKER_24
transcript.pyannote[993].start 21789.43596875
transcript.pyannote[993].end 21791.08971875
transcript.pyannote[994].speaker SPEAKER_24
transcript.pyannote[994].start 21791.34284375
transcript.pyannote[994].end 21791.39346875
transcript.pyannote[995].speaker SPEAKER_24
transcript.pyannote[995].start 21791.49471875
transcript.pyannote[995].end 21792.60846875
transcript.pyannote[996].speaker SPEAKER_07
transcript.pyannote[996].start 21798.22784375
transcript.pyannote[996].end 21864.90096875
transcript.pyannote[997].speaker SPEAKER_15
transcript.pyannote[997].start 21864.90096875
transcript.pyannote[997].end 21871.70159375
transcript.pyannote[998].speaker SPEAKER_15
transcript.pyannote[998].start 21871.85346875
transcript.pyannote[998].end 21873.27096875
transcript.pyannote[999].speaker SPEAKER_15
transcript.pyannote[999].start 21873.65909375
transcript.pyannote[999].end 21891.02346875
transcript.pyannote[1000].speaker SPEAKER_24
transcript.pyannote[1000].start 21888.52596875
transcript.pyannote[1000].end 21888.71159375
transcript.pyannote[1001].speaker SPEAKER_07
transcript.pyannote[1001].start 21891.02346875
transcript.pyannote[1001].end 21892.18784375
transcript.pyannote[1002].speaker SPEAKER_24
transcript.pyannote[1002].start 21892.18784375
transcript.pyannote[1002].end 21895.86659375
transcript.pyannote[1003].speaker SPEAKER_07
transcript.pyannote[1003].start 21892.20471875
transcript.pyannote[1003].end 21892.35659375
transcript.pyannote[1004].speaker SPEAKER_24
transcript.pyannote[1004].start 21896.33909375
transcript.pyannote[1004].end 21897.01409375
transcript.pyannote[1005].speaker SPEAKER_24
transcript.pyannote[1005].start 21897.60471875
transcript.pyannote[1005].end 21903.03846875
transcript.pyannote[1006].speaker SPEAKER_07
transcript.pyannote[1006].start 21901.28346875
transcript.pyannote[1006].end 21902.14409375
transcript.pyannote[1007].speaker SPEAKER_07
transcript.pyannote[1007].start 21902.27909375
transcript.pyannote[1007].end 21902.80221875
transcript.pyannote[1008].speaker SPEAKER_07
transcript.pyannote[1008].start 21903.03846875
transcript.pyannote[1008].end 21903.29159375
transcript.pyannote[1009].speaker SPEAKER_07
transcript.pyannote[1009].start 21903.49409375
transcript.pyannote[1009].end 21968.68221875
transcript.pyannote[1010].speaker SPEAKER_07
transcript.pyannote[1010].start 21969.66096875
transcript.pyannote[1010].end 21984.05534375
transcript.pyannote[1011].speaker SPEAKER_24
transcript.pyannote[1011].start 21982.23284375
transcript.pyannote[1011].end 21982.31721875
transcript.pyannote[1012].speaker SPEAKER_24
transcript.pyannote[1012].start 21983.02596875
transcript.pyannote[1012].end 21988.03784375
transcript.pyannote[1013].speaker SPEAKER_24
transcript.pyannote[1013].start 21988.34159375
transcript.pyannote[1013].end 21993.43784375
transcript.pyannote[1014].speaker SPEAKER_07
transcript.pyannote[1014].start 21991.14284375
transcript.pyannote[1014].end 21992.34096875
transcript.pyannote[1015].speaker SPEAKER_07
transcript.pyannote[1015].start 21992.40846875
transcript.pyannote[1015].end 21992.45909375
transcript.pyannote[1016].speaker SPEAKER_24
transcript.pyannote[1016].start 21993.67409375
transcript.pyannote[1016].end 21997.97721875
transcript.pyannote[1017].speaker SPEAKER_07
transcript.pyannote[1017].start 21996.81284375
transcript.pyannote[1017].end 21996.88034375
transcript.pyannote[1018].speaker SPEAKER_07
transcript.pyannote[1018].start 21997.97721875
transcript.pyannote[1018].end 22010.86971875
transcript.pyannote[1019].speaker SPEAKER_24
transcript.pyannote[1019].start 22001.84159375
transcript.pyannote[1019].end 22002.07784375
transcript.pyannote[1020].speaker SPEAKER_00
transcript.pyannote[1020].start 22004.92971875
transcript.pyannote[1020].end 22005.04784375
transcript.pyannote[1021].speaker SPEAKER_26
transcript.pyannote[1021].start 22007.30909375
transcript.pyannote[1021].end 22007.61284375
transcript.pyannote[1022].speaker SPEAKER_24
transcript.pyannote[1022].start 22007.61284375
transcript.pyannote[1022].end 22007.62971875
transcript.pyannote[1023].speaker SPEAKER_07
transcript.pyannote[1023].start 22011.07221875
transcript.pyannote[1023].end 22019.57721875
transcript.pyannote[1024].speaker SPEAKER_07
transcript.pyannote[1024].start 22020.38721875
transcript.pyannote[1024].end 22021.80471875
transcript.pyannote[1025].speaker SPEAKER_07
transcript.pyannote[1025].start 22022.00721875
transcript.pyannote[1025].end 22025.55096875
transcript.pyannote[1026].speaker SPEAKER_07
transcript.pyannote[1026].start 22025.88846875
transcript.pyannote[1026].end 22031.15346875
transcript.pyannote[1027].speaker SPEAKER_07
transcript.pyannote[1027].start 22031.89596875
transcript.pyannote[1027].end 22041.91971875
transcript.pyannote[1028].speaker SPEAKER_07
transcript.pyannote[1028].start 22042.27409375
transcript.pyannote[1028].end 22061.71409375
transcript.pyannote[1029].speaker SPEAKER_07
transcript.pyannote[1029].start 22062.25409375
transcript.pyannote[1029].end 22064.27909375
transcript.pyannote[1030].speaker SPEAKER_07
transcript.pyannote[1030].start 22064.65034375
transcript.pyannote[1030].end 22070.13471875
transcript.pyannote[1031].speaker SPEAKER_07
transcript.pyannote[1031].start 22070.53971875
transcript.pyannote[1031].end 22083.28034375
transcript.pyannote[1032].speaker SPEAKER_07
transcript.pyannote[1032].start 22083.75284375
transcript.pyannote[1032].end 22083.76971875
transcript.pyannote[1033].speaker SPEAKER_03
transcript.pyannote[1033].start 22083.76971875
transcript.pyannote[1033].end 22084.10721875
transcript.pyannote[1034].speaker SPEAKER_07
transcript.pyannote[1034].start 22084.10721875
transcript.pyannote[1034].end 22084.14096875
transcript.pyannote[1035].speaker SPEAKER_03
transcript.pyannote[1035].start 22084.14096875
transcript.pyannote[1035].end 22115.54534375
transcript.pyannote[1036].speaker SPEAKER_07
transcript.pyannote[1036].start 22084.34346875
transcript.pyannote[1036].end 22084.84971875
transcript.pyannote[1037].speaker SPEAKER_07
transcript.pyannote[1037].start 22090.85721875
transcript.pyannote[1037].end 22091.07659375
transcript.pyannote[1038].speaker SPEAKER_00
transcript.pyannote[1038].start 22103.17596875
transcript.pyannote[1038].end 22103.36159375
transcript.pyannote[1039].speaker SPEAKER_07
transcript.pyannote[1039].start 22111.73159375
transcript.pyannote[1039].end 22112.33909375
transcript.pyannote[1040].speaker SPEAKER_07
transcript.pyannote[1040].start 22114.98846875
transcript.pyannote[1040].end 22116.81096875
transcript.pyannote[1041].speaker SPEAKER_07
transcript.pyannote[1041].start 22117.01346875
transcript.pyannote[1041].end 22120.15221875
transcript.pyannote[1042].speaker SPEAKER_07
transcript.pyannote[1042].start 22120.47284375
transcript.pyannote[1042].end 22121.29971875
transcript.pyannote[1043].speaker SPEAKER_03
transcript.pyannote[1043].start 22121.56971875
transcript.pyannote[1043].end 22124.13471875
transcript.pyannote[1044].speaker SPEAKER_07
transcript.pyannote[1044].start 22124.13471875
transcript.pyannote[1044].end 22124.23596875
transcript.pyannote[1045].speaker SPEAKER_07
transcript.pyannote[1045].start 22124.47221875
transcript.pyannote[1045].end 22124.48909375
transcript.pyannote[1046].speaker SPEAKER_03
transcript.pyannote[1046].start 22124.48909375
transcript.pyannote[1046].end 22125.53534375
transcript.pyannote[1047].speaker SPEAKER_07
transcript.pyannote[1047].start 22125.53534375
transcript.pyannote[1047].end 22140.14909375
transcript.pyannote[1048].speaker SPEAKER_07
transcript.pyannote[1048].start 22140.82409375
transcript.pyannote[1048].end 22141.73534375
transcript.pyannote[1049].speaker SPEAKER_15
transcript.pyannote[1049].start 22141.73534375
transcript.pyannote[1049].end 22150.99971875
transcript.pyannote[1050].speaker SPEAKER_15
transcript.pyannote[1050].start 22151.37096875
transcript.pyannote[1050].end 22156.21409375
transcript.pyannote[1051].speaker SPEAKER_07
transcript.pyannote[1051].start 22155.64034375
transcript.pyannote[1051].end 22169.30909375
transcript.pyannote[1052].speaker SPEAKER_07
transcript.pyannote[1052].start 22169.51159375
transcript.pyannote[1052].end 22174.75971875
transcript.pyannote[1053].speaker SPEAKER_07
transcript.pyannote[1053].start 22175.28284375
transcript.pyannote[1053].end 22181.84721875
transcript.pyannote[1054].speaker SPEAKER_07
transcript.pyannote[1054].start 22182.40409375
transcript.pyannote[1054].end 22194.82409375
transcript.pyannote[1055].speaker SPEAKER_07
transcript.pyannote[1055].start 22195.34721875
transcript.pyannote[1055].end 22199.48159375
transcript.pyannote[1056].speaker SPEAKER_07
transcript.pyannote[1056].start 22199.66721875
transcript.pyannote[1056].end 22209.13409375
transcript.pyannote[1057].speaker SPEAKER_07
transcript.pyannote[1057].start 22209.43784375
transcript.pyannote[1057].end 22212.47534375
transcript.pyannote[1058].speaker SPEAKER_07
transcript.pyannote[1058].start 22212.84659375
transcript.pyannote[1058].end 22216.13721875
transcript.pyannote[1059].speaker SPEAKER_07
transcript.pyannote[1059].start 22216.64346875
transcript.pyannote[1059].end 22220.45721875
transcript.pyannote[1060].speaker SPEAKER_07
transcript.pyannote[1060].start 22220.69346875
transcript.pyannote[1060].end 22226.90346875
transcript.pyannote[1061].speaker SPEAKER_07
transcript.pyannote[1061].start 22227.10596875
transcript.pyannote[1061].end 22243.15409375
transcript.pyannote[1062].speaker SPEAKER_15
transcript.pyannote[1062].start 22243.15409375
transcript.pyannote[1062].end 22243.18784375
transcript.pyannote[1063].speaker SPEAKER_15
transcript.pyannote[1063].start 22243.33971875
transcript.pyannote[1063].end 22266.03659375
transcript.pyannote[1064].speaker SPEAKER_07
transcript.pyannote[1064].start 22266.03659375
transcript.pyannote[1064].end 22273.47846875
transcript.pyannote[1065].speaker SPEAKER_07
transcript.pyannote[1065].start 22274.15346875
transcript.pyannote[1065].end 22285.96596875
transcript.pyannote[1066].speaker SPEAKER_03
transcript.pyannote[1066].start 22285.96596875
transcript.pyannote[1066].end 22286.05034375
transcript.pyannote[1067].speaker SPEAKER_07
transcript.pyannote[1067].start 22286.05034375
transcript.pyannote[1067].end 22286.10096875
transcript.pyannote[1068].speaker SPEAKER_03
transcript.pyannote[1068].start 22286.10096875
transcript.pyannote[1068].end 22286.11784375
transcript.pyannote[1069].speaker SPEAKER_07
transcript.pyannote[1069].start 22286.11784375
transcript.pyannote[1069].end 22286.16846875
transcript.pyannote[1070].speaker SPEAKER_03
transcript.pyannote[1070].start 22286.16846875
transcript.pyannote[1070].end 22317.45471875
transcript.pyannote[1071].speaker SPEAKER_07
transcript.pyannote[1071].start 22287.26534375
transcript.pyannote[1071].end 22287.87284375
transcript.pyannote[1072].speaker SPEAKER_07
transcript.pyannote[1072].start 22306.38471875
transcript.pyannote[1072].end 22307.49846875
transcript.pyannote[1073].speaker SPEAKER_07
transcript.pyannote[1073].start 22315.31159375
transcript.pyannote[1073].end 22338.12659375
transcript.pyannote[1074].speaker SPEAKER_15
transcript.pyannote[1074].start 22338.12659375
transcript.pyannote[1074].end 22352.72346875
transcript.pyannote[1075].speaker SPEAKER_07
transcript.pyannote[1075].start 22338.21096875
transcript.pyannote[1075].end 22338.66659375
transcript.pyannote[1076].speaker SPEAKER_22
transcript.pyannote[1076].start 22352.70659375
transcript.pyannote[1076].end 22353.02721875
transcript.pyannote[1077].speaker SPEAKER_07
transcript.pyannote[1077].start 22352.72346875
transcript.pyannote[1077].end 22352.75721875
transcript.pyannote[1078].speaker SPEAKER_15
transcript.pyannote[1078].start 22352.85846875
transcript.pyannote[1078].end 22353.02721875
transcript.pyannote[1079].speaker SPEAKER_07
transcript.pyannote[1079].start 22353.02721875
transcript.pyannote[1079].end 22373.96909375
transcript.pyannote[1080].speaker SPEAKER_22
transcript.pyannote[1080].start 22362.24096875
transcript.pyannote[1080].end 22362.76409375
transcript.pyannote[1081].speaker SPEAKER_15
transcript.pyannote[1081].start 22373.96909375
transcript.pyannote[1081].end 22380.02721875
transcript.pyannote[1082].speaker SPEAKER_07
transcript.pyannote[1082].start 22374.42471875
transcript.pyannote[1082].end 22375.03221875
transcript.pyannote[1083].speaker SPEAKER_07
transcript.pyannote[1083].start 22377.76596875
transcript.pyannote[1083].end 22379.23409375
transcript.pyannote[1084].speaker SPEAKER_07
transcript.pyannote[1084].start 22380.02721875
transcript.pyannote[1084].end 22380.48284375
transcript.pyannote[1085].speaker SPEAKER_15
transcript.pyannote[1085].start 22380.48284375
transcript.pyannote[1085].end 22382.55846875
transcript.pyannote[1086].speaker SPEAKER_07
transcript.pyannote[1086].start 22380.49971875
transcript.pyannote[1086].end 22381.19159375
transcript.pyannote[1087].speaker SPEAKER_07
transcript.pyannote[1087].start 22381.29284375
transcript.pyannote[1087].end 22384.75221875
transcript.pyannote[1088].speaker SPEAKER_07
transcript.pyannote[1088].start 22385.00534375
transcript.pyannote[1088].end 22385.41034375
transcript.pyannote[1089].speaker SPEAKER_07
transcript.pyannote[1089].start 22385.89971875
transcript.pyannote[1089].end 22386.27096875
transcript.pyannote[1090].speaker SPEAKER_07
transcript.pyannote[1090].start 22386.74346875
transcript.pyannote[1090].end 22388.07659375
transcript.pyannote[1091].speaker SPEAKER_07
transcript.pyannote[1091].start 22388.38034375
transcript.pyannote[1091].end 22392.63284375
transcript.pyannote[1092].speaker SPEAKER_07
transcript.pyannote[1092].start 22392.88596875
transcript.pyannote[1092].end 22398.45471875
transcript.pyannote[1093].speaker SPEAKER_07
transcript.pyannote[1093].start 22398.96096875
transcript.pyannote[1093].end 22413.06846875
transcript.pyannote[1094].speaker SPEAKER_07
transcript.pyannote[1094].start 22413.57471875
transcript.pyannote[1094].end 22430.31471875
transcript.pyannote[1095].speaker SPEAKER_07
transcript.pyannote[1095].start 22430.61846875
transcript.pyannote[1095].end 22433.79096875
transcript.pyannote[1096].speaker SPEAKER_07
transcript.pyannote[1096].start 22434.58409375
transcript.pyannote[1096].end 22436.79471875
transcript.pyannote[1097].speaker SPEAKER_07
transcript.pyannote[1097].start 22437.72284375
transcript.pyannote[1097].end 22482.96471875
transcript.pyannote[1098].speaker SPEAKER_15
transcript.pyannote[1098].start 22482.96471875
transcript.pyannote[1098].end 22491.72284375
transcript.pyannote[1099].speaker SPEAKER_15
transcript.pyannote[1099].start 22491.85784375
transcript.pyannote[1099].end 22492.38096875
transcript.pyannote[1100].speaker SPEAKER_15
transcript.pyannote[1100].start 22492.51596875
transcript.pyannote[1100].end 22502.03346875
transcript.pyannote[1101].speaker SPEAKER_07
transcript.pyannote[1101].start 22502.03346875
transcript.pyannote[1101].end 22510.67346875
transcript.pyannote[1102].speaker SPEAKER_07
transcript.pyannote[1102].start 22511.29784375
transcript.pyannote[1102].end 22517.45721875
transcript.pyannote[1103].speaker SPEAKER_07
transcript.pyannote[1103].start 22518.26721875
transcript.pyannote[1103].end 22525.77659375
transcript.pyannote[1104].speaker SPEAKER_07
transcript.pyannote[1104].start 22526.14784375
transcript.pyannote[1104].end 22533.77534375
transcript.pyannote[1105].speaker SPEAKER_07
transcript.pyannote[1105].start 22533.79221875
transcript.pyannote[1105].end 22538.85471875
transcript.pyannote[1106].speaker SPEAKER_07
transcript.pyannote[1106].start 22539.46221875
transcript.pyannote[1106].end 22540.60971875
transcript.pyannote[1107].speaker SPEAKER_07
transcript.pyannote[1107].start 22540.81221875
transcript.pyannote[1107].end 22544.67659375
transcript.pyannote[1108].speaker SPEAKER_07
transcript.pyannote[1108].start 22545.31784375
transcript.pyannote[1108].end 22545.97596875
transcript.pyannote[1109].speaker SPEAKER_07
transcript.pyannote[1109].start 22546.14471875
transcript.pyannote[1109].end 22572.63846875
transcript.pyannote[1110].speaker SPEAKER_28
transcript.pyannote[1110].start 22573.29659375
transcript.pyannote[1110].end 22580.08034375
transcript.pyannote[1111].speaker SPEAKER_28
transcript.pyannote[1111].start 22580.18159375
transcript.pyannote[1111].end 22598.42346875
transcript.pyannote[1112].speaker SPEAKER_28
transcript.pyannote[1112].start 22599.25034375
transcript.pyannote[1112].end 22603.06409375
transcript.pyannote[1113].speaker SPEAKER_07
transcript.pyannote[1113].start 22610.65784375
transcript.pyannote[1113].end 22611.38346875
transcript.pyannote[1114].speaker SPEAKER_07
transcript.pyannote[1114].start 22611.53534375
transcript.pyannote[1114].end 22612.54784375
transcript.pyannote[1115].speaker SPEAKER_29
transcript.pyannote[1115].start 22629.89534375
transcript.pyannote[1115].end 22641.40409375
transcript.pyannote[1116].speaker SPEAKER_25
transcript.pyannote[1116].start 22658.83596875
transcript.pyannote[1116].end 22662.76784375
transcript.pyannote[1117].speaker SPEAKER_29
transcript.pyannote[1117].start 22663.17284375
transcript.pyannote[1117].end 22664.35409375
transcript.pyannote[1118].speaker SPEAKER_25
transcript.pyannote[1118].start 22674.68159375
transcript.pyannote[1118].end 22684.28346875
transcript.pyannote[1119].speaker SPEAKER_15
transcript.pyannote[1119].start 22678.44471875
transcript.pyannote[1119].end 22680.38534375
transcript.pyannote[1120].speaker SPEAKER_25
transcript.pyannote[1120].start 22684.84034375
transcript.pyannote[1120].end 22685.56596875
transcript.pyannote[1121].speaker SPEAKER_25
transcript.pyannote[1121].start 22685.78534375
transcript.pyannote[1121].end 22687.47284375
transcript.pyannote[1122].speaker SPEAKER_25
transcript.pyannote[1122].start 22687.70909375
transcript.pyannote[1122].end 22696.92284375
transcript.pyannote[1123].speaker SPEAKER_15
transcript.pyannote[1123].start 22690.96596875
transcript.pyannote[1123].end 22691.11784375
transcript.pyannote[1124].speaker SPEAKER_25
transcript.pyannote[1124].start 22697.39534375
transcript.pyannote[1124].end 22700.34846875
transcript.pyannote[1125].speaker SPEAKER_25
transcript.pyannote[1125].start 22700.78721875
transcript.pyannote[1125].end 22704.06096875
transcript.pyannote[1126].speaker SPEAKER_25
transcript.pyannote[1126].start 22704.56721875
transcript.pyannote[1126].end 22709.52846875
transcript.pyannote[1127].speaker SPEAKER_24
transcript.pyannote[1127].start 22707.60471875
transcript.pyannote[1127].end 22707.75659375
transcript.pyannote[1128].speaker SPEAKER_00
transcript.pyannote[1128].start 22707.75659375
transcript.pyannote[1128].end 22707.92534375
transcript.pyannote[1129].speaker SPEAKER_25
transcript.pyannote[1129].start 22710.05159375
transcript.pyannote[1129].end 22714.06784375
transcript.pyannote[1130].speaker SPEAKER_25
transcript.pyannote[1130].start 22714.45596875
transcript.pyannote[1130].end 22716.31221875
transcript.pyannote[1131].speaker SPEAKER_25
transcript.pyannote[1131].start 22716.76784375
transcript.pyannote[1131].end 22719.02909375
transcript.pyannote[1132].speaker SPEAKER_25
transcript.pyannote[1132].start 22719.26534375
transcript.pyannote[1132].end 22723.92284375
transcript.pyannote[1133].speaker SPEAKER_25
transcript.pyannote[1133].start 22724.05784375
transcript.pyannote[1133].end 22729.71096875
transcript.pyannote[1134].speaker SPEAKER_25
transcript.pyannote[1134].start 22729.86284375
transcript.pyannote[1134].end 22731.31409375
transcript.pyannote[1135].speaker SPEAKER_25
transcript.pyannote[1135].start 22731.61784375
transcript.pyannote[1135].end 22735.81971875
transcript.pyannote[1136].speaker SPEAKER_25
transcript.pyannote[1136].start 22736.35971875
transcript.pyannote[1136].end 22739.38034375
transcript.pyannote[1137].speaker SPEAKER_25
transcript.pyannote[1137].start 22739.92034375
transcript.pyannote[1137].end 22741.37159375
transcript.pyannote[1138].speaker SPEAKER_25
transcript.pyannote[1138].start 22741.75971875
transcript.pyannote[1138].end 22744.22346875
transcript.pyannote[1139].speaker SPEAKER_25
transcript.pyannote[1139].start 22744.45971875
transcript.pyannote[1139].end 22749.57284375
transcript.pyannote[1140].speaker SPEAKER_25
transcript.pyannote[1140].start 22749.67409375
transcript.pyannote[1140].end 22750.19721875
transcript.pyannote[1141].speaker SPEAKER_25
transcript.pyannote[1141].start 22750.66971875
transcript.pyannote[1141].end 22751.42909375
transcript.pyannote[1142].speaker SPEAKER_25
transcript.pyannote[1142].start 22751.80034375
transcript.pyannote[1142].end 22753.72409375
transcript.pyannote[1143].speaker SPEAKER_25
transcript.pyannote[1143].start 22754.07846875
transcript.pyannote[1143].end 22756.42409375
transcript.pyannote[1144].speaker SPEAKER_25
transcript.pyannote[1144].start 22756.94721875
transcript.pyannote[1144].end 22757.80784375
transcript.pyannote[1145].speaker SPEAKER_25
transcript.pyannote[1145].start 22758.36471875
transcript.pyannote[1145].end 22761.73971875
transcript.pyannote[1146].speaker SPEAKER_25
transcript.pyannote[1146].start 22762.04346875
transcript.pyannote[1146].end 22766.17784375
transcript.pyannote[1147].speaker SPEAKER_25
transcript.pyannote[1147].start 22766.53221875
transcript.pyannote[1147].end 22769.41784375
transcript.pyannote[1148].speaker SPEAKER_25
transcript.pyannote[1148].start 22769.82284375
transcript.pyannote[1148].end 22770.24471875
transcript.pyannote[1149].speaker SPEAKER_25
transcript.pyannote[1149].start 22771.25721875
transcript.pyannote[1149].end 22773.45096875
transcript.pyannote[1150].speaker SPEAKER_25
transcript.pyannote[1150].start 22773.97409375
transcript.pyannote[1150].end 22776.62346875
transcript.pyannote[1151].speaker SPEAKER_25
transcript.pyannote[1151].start 22777.09596875
transcript.pyannote[1151].end 22778.47971875
transcript.pyannote[1152].speaker SPEAKER_25
transcript.pyannote[1152].start 22779.13784375
transcript.pyannote[1152].end 22779.66096875
transcript.pyannote[1153].speaker SPEAKER_25
transcript.pyannote[1153].start 22780.09971875
transcript.pyannote[1153].end 22783.30596875
transcript.pyannote[1154].speaker SPEAKER_25
transcript.pyannote[1154].start 22783.86284375
transcript.pyannote[1154].end 22787.59221875
transcript.pyannote[1155].speaker SPEAKER_25
transcript.pyannote[1155].start 22787.65971875
transcript.pyannote[1155].end 22799.57346875
transcript.pyannote[1156].speaker SPEAKER_25
transcript.pyannote[1156].start 22799.70846875
transcript.pyannote[1156].end 22805.20971875
transcript.pyannote[1157].speaker SPEAKER_25
transcript.pyannote[1157].start 22805.51346875
transcript.pyannote[1157].end 22808.65221875
transcript.pyannote[1158].speaker SPEAKER_15
transcript.pyannote[1158].start 22808.65221875
transcript.pyannote[1158].end 22809.10784375
transcript.pyannote[1159].speaker SPEAKER_25
transcript.pyannote[1159].start 22809.10784375
transcript.pyannote[1159].end 22809.12471875
transcript.pyannote[1160].speaker SPEAKER_15
transcript.pyannote[1160].start 22809.39471875
transcript.pyannote[1160].end 22818.01784375
transcript.pyannote[1161].speaker SPEAKER_25
transcript.pyannote[1161].start 22816.93784375
transcript.pyannote[1161].end 22820.51534375
transcript.pyannote[1162].speaker SPEAKER_15
transcript.pyannote[1162].start 22820.51534375
transcript.pyannote[1162].end 22824.85221875
transcript.pyannote[1163].speaker SPEAKER_25
transcript.pyannote[1163].start 22824.85221875
transcript.pyannote[1163].end 22830.42096875
transcript.pyannote[1164].speaker SPEAKER_25
transcript.pyannote[1164].start 22830.53909375
transcript.pyannote[1164].end 22847.19471875
transcript.pyannote[1165].speaker SPEAKER_15
transcript.pyannote[1165].start 22837.33971875
transcript.pyannote[1165].end 22837.71096875
transcript.pyannote[1166].speaker SPEAKER_25
transcript.pyannote[1166].start 22847.71784375
transcript.pyannote[1166].end 22849.87784375
transcript.pyannote[1167].speaker SPEAKER_25
transcript.pyannote[1167].start 22865.84159375
transcript.pyannote[1167].end 22867.63034375
transcript.pyannote[1168].speaker SPEAKER_25
transcript.pyannote[1168].start 22868.17034375
transcript.pyannote[1168].end 22872.25409375
transcript.pyannote[1169].speaker SPEAKER_25
transcript.pyannote[1169].start 22872.91221875
transcript.pyannote[1169].end 22881.92346875
transcript.pyannote[1170].speaker SPEAKER_25
transcript.pyannote[1170].start 22883.00346875
transcript.pyannote[1170].end 22887.98159375
transcript.pyannote[1171].speaker SPEAKER_25
transcript.pyannote[1171].start 22888.40346875
transcript.pyannote[1171].end 22890.47909375
transcript.pyannote[1172].speaker SPEAKER_25
transcript.pyannote[1172].start 22890.79971875
transcript.pyannote[1172].end 22905.71721875
transcript.pyannote[1173].speaker SPEAKER_25
transcript.pyannote[1173].start 22906.17284375
transcript.pyannote[1173].end 22908.46784375
transcript.pyannote[1174].speaker SPEAKER_25
transcript.pyannote[1174].start 22908.87284375
transcript.pyannote[1174].end 22910.42534375
transcript.pyannote[1175].speaker SPEAKER_25
transcript.pyannote[1175].start 22910.84721875
transcript.pyannote[1175].end 22920.02721875
transcript.pyannote[1176].speaker SPEAKER_25
transcript.pyannote[1176].start 22920.44909375
transcript.pyannote[1176].end 22921.15784375
transcript.pyannote[1177].speaker SPEAKER_25
transcript.pyannote[1177].start 22921.49534375
transcript.pyannote[1177].end 22924.16159375
transcript.pyannote[1178].speaker SPEAKER_25
transcript.pyannote[1178].start 22924.70159375
transcript.pyannote[1178].end 22925.29221875
transcript.pyannote[1179].speaker SPEAKER_25
transcript.pyannote[1179].start 22926.06846875
transcript.pyannote[1179].end 22938.80909375
transcript.pyannote[1180].speaker SPEAKER_22
transcript.pyannote[1180].start 22939.33221875
transcript.pyannote[1180].end 22940.14221875
transcript.pyannote[1181].speaker SPEAKER_22
transcript.pyannote[1181].start 22940.31096875
transcript.pyannote[1181].end 22940.32784375
transcript.pyannote[1182].speaker SPEAKER_25
transcript.pyannote[1182].start 22940.32784375
transcript.pyannote[1182].end 22944.09096875
transcript.pyannote[1183].speaker SPEAKER_25
transcript.pyannote[1183].start 22944.51284375
transcript.pyannote[1183].end 22949.62596875
transcript.pyannote[1184].speaker SPEAKER_25
transcript.pyannote[1184].start 22949.96346875
transcript.pyannote[1184].end 22955.43096875
transcript.pyannote[1185].speaker SPEAKER_25
transcript.pyannote[1185].start 22955.88659375
transcript.pyannote[1185].end 22962.92346875
transcript.pyannote[1186].speaker SPEAKER_15
transcript.pyannote[1186].start 22960.44284375
transcript.pyannote[1186].end 22961.87721875
transcript.pyannote[1187].speaker SPEAKER_25
transcript.pyannote[1187].start 22963.21034375
transcript.pyannote[1187].end 22963.24409375
transcript.pyannote[1188].speaker SPEAKER_15
transcript.pyannote[1188].start 22963.24409375
transcript.pyannote[1188].end 22996.16721875
transcript.pyannote[1189].speaker SPEAKER_25
transcript.pyannote[1189].start 22964.99909375
transcript.pyannote[1189].end 22965.74159375
transcript.pyannote[1190].speaker SPEAKER_24
transcript.pyannote[1190].start 22974.51659375
transcript.pyannote[1190].end 22974.97221875
transcript.pyannote[1191].speaker SPEAKER_20
transcript.pyannote[1191].start 22984.21971875
transcript.pyannote[1191].end 22985.06346875
transcript.pyannote[1192].speaker SPEAKER_25
transcript.pyannote[1192].start 22994.27721875
transcript.pyannote[1192].end 23006.42721875
transcript.pyannote[1193].speaker SPEAKER_15
transcript.pyannote[1193].start 22998.88409375
transcript.pyannote[1193].end 22999.49159375
transcript.pyannote[1194].speaker SPEAKER_25
transcript.pyannote[1194].start 23006.62971875
transcript.pyannote[1194].end 23013.00846875
transcript.pyannote[1195].speaker SPEAKER_00
transcript.pyannote[1195].start 23008.95846875
transcript.pyannote[1195].end 23009.38034375
transcript.pyannote[1196].speaker SPEAKER_00
transcript.pyannote[1196].start 23009.80221875
transcript.pyannote[1196].end 23010.51096875
transcript.pyannote[1197].speaker SPEAKER_25
transcript.pyannote[1197].start 23013.70034375
transcript.pyannote[1197].end 23014.69596875
transcript.pyannote[1198].speaker SPEAKER_25
transcript.pyannote[1198].start 23014.86471875
transcript.pyannote[1198].end 23014.93221875
transcript.pyannote[1199].speaker SPEAKER_25
transcript.pyannote[1199].start 23015.06721875
transcript.pyannote[1199].end 23016.48471875
transcript.pyannote[1200].speaker SPEAKER_25
transcript.pyannote[1200].start 23017.93596875
transcript.pyannote[1200].end 23019.15096875
transcript.pyannote[1201].speaker SPEAKER_25
transcript.pyannote[1201].start 23029.61346875
transcript.pyannote[1201].end 23030.37284375
transcript.pyannote[1202].speaker SPEAKER_25
transcript.pyannote[1202].start 23030.65971875
transcript.pyannote[1202].end 23034.84471875
transcript.pyannote[1203].speaker SPEAKER_25
transcript.pyannote[1203].start 23035.43534375
transcript.pyannote[1203].end 23039.04659375
transcript.pyannote[1204].speaker SPEAKER_25
transcript.pyannote[1204].start 23039.68784375
transcript.pyannote[1204].end 23042.96159375
transcript.pyannote[1205].speaker SPEAKER_25
transcript.pyannote[1205].start 23043.63659375
transcript.pyannote[1205].end 23045.20596875
transcript.pyannote[1206].speaker SPEAKER_25
transcript.pyannote[1206].start 23045.67846875
transcript.pyannote[1206].end 23048.53034375
transcript.pyannote[1207].speaker SPEAKER_25
transcript.pyannote[1207].start 23049.12096875
transcript.pyannote[1207].end 23053.94721875
transcript.pyannote[1208].speaker SPEAKER_25
transcript.pyannote[1208].start 23054.47034375
transcript.pyannote[1208].end 23055.65159375
transcript.pyannote[1209].speaker SPEAKER_04
transcript.pyannote[1209].start 23055.65159375
transcript.pyannote[1209].end 23056.15784375
transcript.pyannote[1210].speaker SPEAKER_25
transcript.pyannote[1210].start 23056.61346875
transcript.pyannote[1210].end 23057.57534375
transcript.pyannote[1211].speaker SPEAKER_25
transcript.pyannote[1211].start 23057.84534375
transcript.pyannote[1211].end 23059.02659375
transcript.pyannote[1212].speaker SPEAKER_25
transcript.pyannote[1212].start 23059.60034375
transcript.pyannote[1212].end 23063.86971875
transcript.pyannote[1213].speaker SPEAKER_25
transcript.pyannote[1213].start 23064.37596875
transcript.pyannote[1213].end 23068.79721875
transcript.pyannote[1214].speaker SPEAKER_25
transcript.pyannote[1214].start 23069.15159375
transcript.pyannote[1214].end 23077.79159375
transcript.pyannote[1215].speaker SPEAKER_25
transcript.pyannote[1215].start 23078.31471875
transcript.pyannote[1215].end 23078.88846875
transcript.pyannote[1216].speaker SPEAKER_25
transcript.pyannote[1216].start 23079.20909375
transcript.pyannote[1216].end 23083.20846875
transcript.pyannote[1217].speaker SPEAKER_25
transcript.pyannote[1217].start 23083.59659375
transcript.pyannote[1217].end 23084.38971875
transcript.pyannote[1218].speaker SPEAKER_25
transcript.pyannote[1218].start 23084.59221875
transcript.pyannote[1218].end 23085.73971875
transcript.pyannote[1219].speaker SPEAKER_25
transcript.pyannote[1219].start 23086.26284375
transcript.pyannote[1219].end 23093.18159375
transcript.pyannote[1220].speaker SPEAKER_25
transcript.pyannote[1220].start 23093.62034375
transcript.pyannote[1220].end 23096.47221875
transcript.pyannote[1221].speaker SPEAKER_25
transcript.pyannote[1221].start 23096.87721875
transcript.pyannote[1221].end 23100.20159375
transcript.pyannote[1222].speaker SPEAKER_25
transcript.pyannote[1222].start 23101.14659375
transcript.pyannote[1222].end 23101.48409375
transcript.pyannote[1223].speaker SPEAKER_25
transcript.pyannote[1223].start 23101.99034375
transcript.pyannote[1223].end 23106.76596875
transcript.pyannote[1224].speaker SPEAKER_25
transcript.pyannote[1224].start 23107.44096875
transcript.pyannote[1224].end 23111.45721875
transcript.pyannote[1225].speaker SPEAKER_25
transcript.pyannote[1225].start 23112.08159375
transcript.pyannote[1225].end 23113.56659375
transcript.pyannote[1226].speaker SPEAKER_25
transcript.pyannote[1226].start 23114.19096875
transcript.pyannote[1226].end 23128.65284375
transcript.pyannote[1227].speaker SPEAKER_25
transcript.pyannote[1227].start 23129.05784375
transcript.pyannote[1227].end 23132.26409375
transcript.pyannote[1228].speaker SPEAKER_25
transcript.pyannote[1228].start 23132.56784375
transcript.pyannote[1228].end 23135.31846875
transcript.pyannote[1229].speaker SPEAKER_25
transcript.pyannote[1229].start 23135.60534375
transcript.pyannote[1229].end 23137.20846875
transcript.pyannote[1230].speaker SPEAKER_25
transcript.pyannote[1230].start 23137.76534375
transcript.pyannote[1230].end 23150.11784375
transcript.pyannote[1231].speaker SPEAKER_25
transcript.pyannote[1231].start 23150.77596875
transcript.pyannote[1231].end 23153.56034375
transcript.pyannote[1232].speaker SPEAKER_22
transcript.pyannote[1232].start 23153.93159375
transcript.pyannote[1232].end 23153.98221875
transcript.pyannote[1233].speaker SPEAKER_25
transcript.pyannote[1233].start 23153.98221875
transcript.pyannote[1233].end 23155.85534375
transcript.pyannote[1234].speaker SPEAKER_25
transcript.pyannote[1234].start 23156.64846875
transcript.pyannote[1234].end 23157.13784375
transcript.pyannote[1235].speaker SPEAKER_25
transcript.pyannote[1235].start 23157.42471875
transcript.pyannote[1235].end 23159.16284375
transcript.pyannote[1236].speaker SPEAKER_25
transcript.pyannote[1236].start 23159.55096875
transcript.pyannote[1236].end 23164.03971875
transcript.pyannote[1237].speaker SPEAKER_25
transcript.pyannote[1237].start 23164.44471875
transcript.pyannote[1237].end 23166.62159375
transcript.pyannote[1238].speaker SPEAKER_25
transcript.pyannote[1238].start 23166.90846875
transcript.pyannote[1238].end 23168.91659375
transcript.pyannote[1239].speaker SPEAKER_25
transcript.pyannote[1239].start 23169.52409375
transcript.pyannote[1239].end 23171.86971875
transcript.pyannote[1240].speaker SPEAKER_25
transcript.pyannote[1240].start 23172.66284375
transcript.pyannote[1240].end 23174.41784375
transcript.pyannote[1241].speaker SPEAKER_25
transcript.pyannote[1241].start 23175.41346875
transcript.pyannote[1241].end 23177.47221875
transcript.pyannote[1242].speaker SPEAKER_25
transcript.pyannote[1242].start 23178.34971875
transcript.pyannote[1242].end 23181.50534375
transcript.pyannote[1243].speaker SPEAKER_25
transcript.pyannote[1243].start 23182.14659375
transcript.pyannote[1243].end 23184.54284375
transcript.pyannote[1244].speaker SPEAKER_25
transcript.pyannote[1244].start 23185.11659375
transcript.pyannote[1244].end 23188.45784375
transcript.pyannote[1245].speaker SPEAKER_25
transcript.pyannote[1245].start 23188.94721875
transcript.pyannote[1245].end 23194.85346875
transcript.pyannote[1246].speaker SPEAKER_25
transcript.pyannote[1246].start 23195.30909375
transcript.pyannote[1246].end 23198.86971875
transcript.pyannote[1247].speaker SPEAKER_25
transcript.pyannote[1247].start 23198.95409375
transcript.pyannote[1247].end 23200.25346875
transcript.pyannote[1248].speaker SPEAKER_25
transcript.pyannote[1248].start 23200.87784375
transcript.pyannote[1248].end 23202.97034375
transcript.pyannote[1249].speaker SPEAKER_15
transcript.pyannote[1249].start 23202.97034375
transcript.pyannote[1249].end 23207.39159375
transcript.pyannote[1250].speaker SPEAKER_15
transcript.pyannote[1250].start 23207.81346875
transcript.pyannote[1250].end 23208.84284375
transcript.pyannote[1251].speaker SPEAKER_15
transcript.pyannote[1251].start 23209.23096875
transcript.pyannote[1251].end 23211.15471875
transcript.pyannote[1252].speaker SPEAKER_15
transcript.pyannote[1252].start 23211.52596875
transcript.pyannote[1252].end 23212.72409375
transcript.pyannote[1253].speaker SPEAKER_15
transcript.pyannote[1253].start 23212.92659375
transcript.pyannote[1253].end 23219.18721875
transcript.pyannote[1254].speaker SPEAKER_15
transcript.pyannote[1254].start 23219.86221875
transcript.pyannote[1254].end 23223.42284375
transcript.pyannote[1255].speaker SPEAKER_15
transcript.pyannote[1255].start 23223.64221875
transcript.pyannote[1255].end 23224.48596875
transcript.pyannote[1256].speaker SPEAKER_15
transcript.pyannote[1256].start 23224.85721875
transcript.pyannote[1256].end 23231.99534375
transcript.pyannote[1257].speaker SPEAKER_15
transcript.pyannote[1257].start 23232.26534375
transcript.pyannote[1257].end 23237.68221875
transcript.pyannote[1258].speaker SPEAKER_25
transcript.pyannote[1258].start 23235.50534375
transcript.pyannote[1258].end 23236.34909375
transcript.pyannote[1259].speaker SPEAKER_25
transcript.pyannote[1259].start 23237.19284375
transcript.pyannote[1259].end 23242.79534375
transcript.pyannote[1260].speaker SPEAKER_25
transcript.pyannote[1260].start 23243.18346875
transcript.pyannote[1260].end 23247.28409375
transcript.pyannote[1261].speaker SPEAKER_25
transcript.pyannote[1261].start 23247.95909375
transcript.pyannote[1261].end 23249.74784375
transcript.pyannote[1262].speaker SPEAKER_15
transcript.pyannote[1262].start 23249.74784375
transcript.pyannote[1262].end 23249.76471875
transcript.pyannote[1263].speaker SPEAKER_25
transcript.pyannote[1263].start 23249.76471875
transcript.pyannote[1263].end 23249.78159375
transcript.pyannote[1264].speaker SPEAKER_25
transcript.pyannote[1264].start 23250.47346875
transcript.pyannote[1264].end 23250.52409375
transcript.pyannote[1265].speaker SPEAKER_15
transcript.pyannote[1265].start 23250.52409375
transcript.pyannote[1265].end 23252.19471875
transcript.pyannote[1266].speaker SPEAKER_15
transcript.pyannote[1266].start 23252.39721875
transcript.pyannote[1266].end 23252.43096875
transcript.pyannote[1267].speaker SPEAKER_15
transcript.pyannote[1267].start 23252.58284375
transcript.pyannote[1267].end 23255.63721875
transcript.pyannote[1268].speaker SPEAKER_15
transcript.pyannote[1268].start 23255.73846875
transcript.pyannote[1268].end 23257.89846875
transcript.pyannote[1269].speaker SPEAKER_15
transcript.pyannote[1269].start 23258.08409375
transcript.pyannote[1269].end 23260.22721875
transcript.pyannote[1270].speaker SPEAKER_25
transcript.pyannote[1270].start 23261.00346875
transcript.pyannote[1270].end 23263.04534375
transcript.pyannote[1271].speaker SPEAKER_25
transcript.pyannote[1271].start 23263.53471875
transcript.pyannote[1271].end 23265.35721875
transcript.pyannote[1272].speaker SPEAKER_25
transcript.pyannote[1272].start 23265.52596875
transcript.pyannote[1272].end 23266.79159375
transcript.pyannote[1273].speaker SPEAKER_25
transcript.pyannote[1273].start 23267.26409375
transcript.pyannote[1273].end 23268.69846875
transcript.pyannote[1274].speaker SPEAKER_25
transcript.pyannote[1274].start 23269.30596875
transcript.pyannote[1274].end 23271.61784375
transcript.pyannote[1275].speaker SPEAKER_25
transcript.pyannote[1275].start 23272.19159375
transcript.pyannote[1275].end 23274.43596875
transcript.pyannote[1276].speaker SPEAKER_25
transcript.pyannote[1276].start 23274.79034375
transcript.pyannote[1276].end 23279.49846875
transcript.pyannote[1277].speaker SPEAKER_25
transcript.pyannote[1277].start 23279.98784375
transcript.pyannote[1277].end 23283.46409375
transcript.pyannote[1278].speaker SPEAKER_25
transcript.pyannote[1278].start 23283.86909375
transcript.pyannote[1278].end 23288.64471875
transcript.pyannote[1279].speaker SPEAKER_25
transcript.pyannote[1279].start 23289.01596875
transcript.pyannote[1279].end 23289.03284375
transcript.pyannote[1280].speaker SPEAKER_25
transcript.pyannote[1280].start 23289.04971875
transcript.pyannote[1280].end 23291.09159375
transcript.pyannote[1281].speaker SPEAKER_25
transcript.pyannote[1281].start 23291.44596875
transcript.pyannote[1281].end 23292.72846875
transcript.pyannote[1282].speaker SPEAKER_25
transcript.pyannote[1282].start 23292.82971875
transcript.pyannote[1282].end 23292.86346875
transcript.pyannote[1283].speaker SPEAKER_18
transcript.pyannote[1283].start 23292.86346875
transcript.pyannote[1283].end 23292.93096875
transcript.pyannote[1284].speaker SPEAKER_25
transcript.pyannote[1284].start 23292.93096875
transcript.pyannote[1284].end 23292.96471875
transcript.pyannote[1285].speaker SPEAKER_18
transcript.pyannote[1285].start 23292.96471875
transcript.pyannote[1285].end 23303.00534375
transcript.pyannote[1286].speaker SPEAKER_05
transcript.pyannote[1286].start 23303.00534375
transcript.pyannote[1286].end 23303.03909375
transcript.pyannote[1287].speaker SPEAKER_18
transcript.pyannote[1287].start 23303.03909375
transcript.pyannote[1287].end 23315.72909375
transcript.pyannote[1288].speaker SPEAKER_05
transcript.pyannote[1288].start 23303.64659375
transcript.pyannote[1288].end 23303.66346875
transcript.pyannote[1289].speaker SPEAKER_22
transcript.pyannote[1289].start 23303.66346875
transcript.pyannote[1289].end 23303.69721875
transcript.pyannote[1290].speaker SPEAKER_05
transcript.pyannote[1290].start 23303.69721875
transcript.pyannote[1290].end 23303.71409375
transcript.pyannote[1291].speaker SPEAKER_22
transcript.pyannote[1291].start 23303.71409375
transcript.pyannote[1291].end 23304.01784375
transcript.pyannote[1292].speaker SPEAKER_05
transcript.pyannote[1292].start 23304.01784375
transcript.pyannote[1292].end 23304.03471875
transcript.pyannote[1293].speaker SPEAKER_22
transcript.pyannote[1293].start 23304.03471875
transcript.pyannote[1293].end 23304.32159375
transcript.pyannote[1294].speaker SPEAKER_05
transcript.pyannote[1294].start 23304.32159375
transcript.pyannote[1294].end 23304.38909375
transcript.pyannote[1295].speaker SPEAKER_22
transcript.pyannote[1295].start 23304.38909375
transcript.pyannote[1295].end 23304.52409375
transcript.pyannote[1296].speaker SPEAKER_22
transcript.pyannote[1296].start 23309.24909375
transcript.pyannote[1296].end 23309.58659375
transcript.pyannote[1297].speaker SPEAKER_18
transcript.pyannote[1297].start 23315.98221875
transcript.pyannote[1297].end 23333.49846875
transcript.pyannote[1298].speaker SPEAKER_25
transcript.pyannote[1298].start 23321.01096875
transcript.pyannote[1298].end 23321.68596875
transcript.pyannote[1299].speaker SPEAKER_25
transcript.pyannote[1299].start 23326.42784375
transcript.pyannote[1299].end 23328.43596875
transcript.pyannote[1300].speaker SPEAKER_25
transcript.pyannote[1300].start 23329.93784375
transcript.pyannote[1300].end 23337.81846875
transcript.pyannote[1301].speaker SPEAKER_25
transcript.pyannote[1301].start 23338.22346875
transcript.pyannote[1301].end 23340.23159375
transcript.pyannote[1302].speaker SPEAKER_25
transcript.pyannote[1302].start 23340.80534375
transcript.pyannote[1302].end 23344.87221875
transcript.pyannote[1303].speaker SPEAKER_25
transcript.pyannote[1303].start 23345.24346875
transcript.pyannote[1303].end 23360.43096875
transcript.pyannote[1304].speaker SPEAKER_18
transcript.pyannote[1304].start 23360.43096875
transcript.pyannote[1304].end 23364.22784375
transcript.pyannote[1305].speaker SPEAKER_25
transcript.pyannote[1305].start 23362.40534375
transcript.pyannote[1305].end 23370.31971875
transcript.pyannote[1306].speaker SPEAKER_25
transcript.pyannote[1306].start 23370.74159375
transcript.pyannote[1306].end 23371.43346875
transcript.pyannote[1307].speaker SPEAKER_25
transcript.pyannote[1307].start 23371.77096875
transcript.pyannote[1307].end 23375.66909375
transcript.pyannote[1308].speaker SPEAKER_25
transcript.pyannote[1308].start 23375.93909375
transcript.pyannote[1308].end 23389.62471875
transcript.pyannote[1309].speaker SPEAKER_25
transcript.pyannote[1309].start 23390.13096875
transcript.pyannote[1309].end 23390.77221875
transcript.pyannote[1310].speaker SPEAKER_25
transcript.pyannote[1310].start 23391.98721875
transcript.pyannote[1310].end 23394.24846875
transcript.pyannote[1311].speaker SPEAKER_25
transcript.pyannote[1311].start 23394.97409375
transcript.pyannote[1311].end 23398.61909375
transcript.pyannote[1312].speaker SPEAKER_25
transcript.pyannote[1312].start 23399.29409375
transcript.pyannote[1312].end 23402.11221875
transcript.pyannote[1313].speaker SPEAKER_25
transcript.pyannote[1313].start 23403.14159375
transcript.pyannote[1313].end 23408.98034375
transcript.pyannote[1314].speaker SPEAKER_25
transcript.pyannote[1314].start 23409.43596875
transcript.pyannote[1314].end 23412.22034375
transcript.pyannote[1315].speaker SPEAKER_25
transcript.pyannote[1315].start 23412.94596875
transcript.pyannote[1315].end 23419.72971875
transcript.pyannote[1316].speaker SPEAKER_25
transcript.pyannote[1316].start 23419.98284375
transcript.pyannote[1316].end 23422.83471875
transcript.pyannote[1317].speaker SPEAKER_25
transcript.pyannote[1317].start 23423.50971875
transcript.pyannote[1317].end 23428.04909375
transcript.pyannote[1318].speaker SPEAKER_25
transcript.pyannote[1318].start 23428.28534375
transcript.pyannote[1318].end 23436.60471875
transcript.pyannote[1319].speaker SPEAKER_25
transcript.pyannote[1319].start 23437.06034375
transcript.pyannote[1319].end 23445.22784375
transcript.pyannote[1320].speaker SPEAKER_25
transcript.pyannote[1320].start 23445.70034375
transcript.pyannote[1320].end 23448.31596875
transcript.pyannote[1321].speaker SPEAKER_25
transcript.pyannote[1321].start 23448.73784375
transcript.pyannote[1321].end 23450.00346875
transcript.pyannote[1322].speaker SPEAKER_25
transcript.pyannote[1322].start 23450.52659375
transcript.pyannote[1322].end 23453.51346875
transcript.pyannote[1323].speaker SPEAKER_25
transcript.pyannote[1323].start 23453.76659375
transcript.pyannote[1323].end 23455.50471875
transcript.pyannote[1324].speaker SPEAKER_25
transcript.pyannote[1324].start 23455.85909375
transcript.pyannote[1324].end 23457.22596875
transcript.pyannote[1325].speaker SPEAKER_25
transcript.pyannote[1325].start 23457.79971875
transcript.pyannote[1325].end 23458.32284375
transcript.pyannote[1326].speaker SPEAKER_25
transcript.pyannote[1326].start 23458.96409375
transcript.pyannote[1326].end 23465.61284375
transcript.pyannote[1327].speaker SPEAKER_25
transcript.pyannote[1327].start 23466.08534375
transcript.pyannote[1327].end 23467.73909375
transcript.pyannote[1328].speaker SPEAKER_25
transcript.pyannote[1328].start 23469.24096875
transcript.pyannote[1328].end 23477.72909375
transcript.pyannote[1329].speaker SPEAKER_25
transcript.pyannote[1329].start 23478.25221875
transcript.pyannote[1329].end 23480.64846875
transcript.pyannote[1330].speaker SPEAKER_25
transcript.pyannote[1330].start 23481.08721875
transcript.pyannote[1330].end 23487.21284375
transcript.pyannote[1331].speaker SPEAKER_25
transcript.pyannote[1331].start 23487.61784375
transcript.pyannote[1331].end 23489.87909375
transcript.pyannote[1332].speaker SPEAKER_25
transcript.pyannote[1332].start 23489.96346875
transcript.pyannote[1332].end 23492.61284375
transcript.pyannote[1333].speaker SPEAKER_25
transcript.pyannote[1333].start 23492.84909375
transcript.pyannote[1333].end 23496.30846875
transcript.pyannote[1334].speaker SPEAKER_25
transcript.pyannote[1334].start 23496.88221875
transcript.pyannote[1334].end 23501.80971875
transcript.pyannote[1335].speaker SPEAKER_25
transcript.pyannote[1335].start 23502.31596875
transcript.pyannote[1335].end 23503.69971875
transcript.pyannote[1336].speaker SPEAKER_25
transcript.pyannote[1336].start 23504.32409375
transcript.pyannote[1336].end 23506.23096875
transcript.pyannote[1337].speaker SPEAKER_25
transcript.pyannote[1337].start 23506.61909375
transcript.pyannote[1337].end 23508.93096875
transcript.pyannote[1338].speaker SPEAKER_25
transcript.pyannote[1338].start 23508.94784375
transcript.pyannote[1338].end 23508.96471875
transcript.pyannote[1339].speaker SPEAKER_25
transcript.pyannote[1339].start 23509.15034375
transcript.pyannote[1339].end 23512.67721875
transcript.pyannote[1340].speaker SPEAKER_25
transcript.pyannote[1340].start 23513.04846875
transcript.pyannote[1340].end 23517.11534375
transcript.pyannote[1341].speaker SPEAKER_25
transcript.pyannote[1341].start 23517.53721875
transcript.pyannote[1341].end 23520.10221875
transcript.pyannote[1342].speaker SPEAKER_25
transcript.pyannote[1342].start 23520.81096875
transcript.pyannote[1342].end 23521.26659375
transcript.pyannote[1343].speaker SPEAKER_25
transcript.pyannote[1343].start 23521.70534375
transcript.pyannote[1343].end 23525.67096875
transcript.pyannote[1344].speaker SPEAKER_25
transcript.pyannote[1344].start 23526.04221875
transcript.pyannote[1344].end 23526.91971875
transcript.pyannote[1345].speaker SPEAKER_25
transcript.pyannote[1345].start 23527.61159375
transcript.pyannote[1345].end 23529.40034375
transcript.pyannote[1346].speaker SPEAKER_13
transcript.pyannote[1346].start 23529.02909375
transcript.pyannote[1346].end 23538.90096875
transcript.pyannote[1347].speaker SPEAKER_13
transcript.pyannote[1347].start 23539.25534375
transcript.pyannote[1347].end 23553.27846875
transcript.pyannote[1348].speaker SPEAKER_13
transcript.pyannote[1348].start 23553.70034375
transcript.pyannote[1348].end 23562.42471875
transcript.pyannote[1349].speaker SPEAKER_13
transcript.pyannote[1349].start 23562.84659375
transcript.pyannote[1349].end 23569.00596875
transcript.pyannote[1350].speaker SPEAKER_25
transcript.pyannote[1350].start 23568.16221875
transcript.pyannote[1350].end 23568.60096875
transcript.pyannote[1351].speaker SPEAKER_25
transcript.pyannote[1351].start 23569.03971875
transcript.pyannote[1351].end 23569.63034375
transcript.pyannote[1352].speaker SPEAKER_25
transcript.pyannote[1352].start 23570.05221875
transcript.pyannote[1352].end 23571.06471875
transcript.pyannote[1353].speaker SPEAKER_25
transcript.pyannote[1353].start 23571.62159375
transcript.pyannote[1353].end 23576.29596875
transcript.pyannote[1354].speaker SPEAKER_25
transcript.pyannote[1354].start 23576.93721875
transcript.pyannote[1354].end 23581.54409375
transcript.pyannote[1355].speaker SPEAKER_25
transcript.pyannote[1355].start 23581.93221875
transcript.pyannote[1355].end 23589.20534375
transcript.pyannote[1356].speaker SPEAKER_25
transcript.pyannote[1356].start 23589.35721875
transcript.pyannote[1356].end 23592.34409375
transcript.pyannote[1357].speaker SPEAKER_25
transcript.pyannote[1357].start 23592.49596875
transcript.pyannote[1357].end 23596.02284375
transcript.pyannote[1358].speaker SPEAKER_25
transcript.pyannote[1358].start 23596.39409375
transcript.pyannote[1358].end 23607.32909375
transcript.pyannote[1359].speaker SPEAKER_25
transcript.pyannote[1359].start 23607.76784375
transcript.pyannote[1359].end 23609.91096875
transcript.pyannote[1360].speaker SPEAKER_25
transcript.pyannote[1360].start 23610.09659375
transcript.pyannote[1360].end 23616.18846875
transcript.pyannote[1361].speaker SPEAKER_25
transcript.pyannote[1361].start 23616.81284375
transcript.pyannote[1361].end 23617.77471875
transcript.pyannote[1362].speaker SPEAKER_13
transcript.pyannote[1362].start 23617.97721875
transcript.pyannote[1362].end 23623.93409375
transcript.pyannote[1363].speaker SPEAKER_25
transcript.pyannote[1363].start 23620.62659375
transcript.pyannote[1363].end 23621.08221875
transcript.pyannote[1364].speaker SPEAKER_25
transcript.pyannote[1364].start 23623.81596875
transcript.pyannote[1364].end 23636.16846875
transcript.pyannote[1365].speaker SPEAKER_25
transcript.pyannote[1365].start 23636.38784375
transcript.pyannote[1365].end 23640.60659375
transcript.pyannote[1366].speaker SPEAKER_25
transcript.pyannote[1366].start 23642.27721875
transcript.pyannote[1366].end 23643.13784375
transcript.pyannote[1367].speaker SPEAKER_25
transcript.pyannote[1367].start 23643.47534375
transcript.pyannote[1367].end 23644.15034375
transcript.pyannote[1368].speaker SPEAKER_25
transcript.pyannote[1368].start 23644.63971875
transcript.pyannote[1368].end 23647.30596875
transcript.pyannote[1369].speaker SPEAKER_25
transcript.pyannote[1369].start 23647.98096875
transcript.pyannote[1369].end 23648.28471875
transcript.pyannote[1370].speaker SPEAKER_25
transcript.pyannote[1370].start 23648.48721875
transcript.pyannote[1370].end 23653.78596875
transcript.pyannote[1371].speaker SPEAKER_29
transcript.pyannote[1371].start 23654.27534375
transcript.pyannote[1371].end 23655.45659375
transcript.pyannote[1372].speaker SPEAKER_25
transcript.pyannote[1372].start 23655.70971875
transcript.pyannote[1372].end 23655.91221875
transcript.pyannote[1373].speaker SPEAKER_29
transcript.pyannote[1373].start 23655.91221875
transcript.pyannote[1373].end 23655.97971875
transcript.pyannote[1374].speaker SPEAKER_25
transcript.pyannote[1374].start 23655.97971875
transcript.pyannote[1374].end 23656.01346875
transcript.pyannote[1375].speaker SPEAKER_25
transcript.pyannote[1375].start 23659.92846875
transcript.pyannote[1375].end 23660.46846875
transcript.pyannote[1376].speaker SPEAKER_25
transcript.pyannote[1376].start 23661.58221875
transcript.pyannote[1376].end 23667.60659375
transcript.pyannote[1377].speaker SPEAKER_25
transcript.pyannote[1377].start 23668.14659375
transcript.pyannote[1377].end 23670.12096875
transcript.pyannote[1378].speaker SPEAKER_25
transcript.pyannote[1378].start 23670.61034375
transcript.pyannote[1378].end 23676.02721875
transcript.pyannote[1379].speaker SPEAKER_25
transcript.pyannote[1379].start 23676.78659375
transcript.pyannote[1379].end 23677.57971875
transcript.pyannote[1380].speaker SPEAKER_25
transcript.pyannote[1380].start 23677.64721875
transcript.pyannote[1380].end 23680.31346875
transcript.pyannote[1381].speaker SPEAKER_25
transcript.pyannote[1381].start 23680.71846875
transcript.pyannote[1381].end 23683.57034375
transcript.pyannote[1382].speaker SPEAKER_25
transcript.pyannote[1382].start 23684.04284375
transcript.pyannote[1382].end 23687.99159375
transcript.pyannote[1383].speaker SPEAKER_25
transcript.pyannote[1383].start 23688.22784375
transcript.pyannote[1383].end 23688.95346875
transcript.pyannote[1384].speaker SPEAKER_25
transcript.pyannote[1384].start 23689.51034375
transcript.pyannote[1384].end 23691.46784375
transcript.pyannote[1385].speaker SPEAKER_25
transcript.pyannote[1385].start 23691.94034375
transcript.pyannote[1385].end 23693.27346875
transcript.pyannote[1386].speaker SPEAKER_25
transcript.pyannote[1386].start 23693.64471875
transcript.pyannote[1386].end 23694.96096875
transcript.pyannote[1387].speaker SPEAKER_25
transcript.pyannote[1387].start 23695.29846875
transcript.pyannote[1387].end 23695.83846875
transcript.pyannote[1388].speaker SPEAKER_25
transcript.pyannote[1388].start 23696.26034375
transcript.pyannote[1388].end 23699.77034375
transcript.pyannote[1389].speaker SPEAKER_25
transcript.pyannote[1389].start 23700.22596875
transcript.pyannote[1389].end 23707.33034375
transcript.pyannote[1390].speaker SPEAKER_25
transcript.pyannote[1390].start 23707.68471875
transcript.pyannote[1390].end 23708.08971875
transcript.pyannote[1391].speaker SPEAKER_25
transcript.pyannote[1391].start 23708.37659375
transcript.pyannote[1391].end 23716.81409375
transcript.pyannote[1392].speaker SPEAKER_25
transcript.pyannote[1392].start 23716.99971875
transcript.pyannote[1392].end 23728.81221875
transcript.pyannote[1393].speaker SPEAKER_25
transcript.pyannote[1393].start 23729.33534375
transcript.pyannote[1393].end 23732.37284375
transcript.pyannote[1394].speaker SPEAKER_25
transcript.pyannote[1394].start 23732.72721875
transcript.pyannote[1394].end 23736.92909375
transcript.pyannote[1395].speaker SPEAKER_25
transcript.pyannote[1395].start 23737.23284375
transcript.pyannote[1395].end 23741.36721875
transcript.pyannote[1396].speaker SPEAKER_25
transcript.pyannote[1396].start 23741.68784375
transcript.pyannote[1396].end 23744.48909375
transcript.pyannote[1397].speaker SPEAKER_25
transcript.pyannote[1397].start 23744.97846875
transcript.pyannote[1397].end 23748.48846875
transcript.pyannote[1398].speaker SPEAKER_25
transcript.pyannote[1398].start 23748.87659375
transcript.pyannote[1398].end 23752.06596875
transcript.pyannote[1399].speaker SPEAKER_25
transcript.pyannote[1399].start 23752.58909375
transcript.pyannote[1399].end 23767.69221875
transcript.pyannote[1400].speaker SPEAKER_00
transcript.pyannote[1400].start 23759.62596875
transcript.pyannote[1400].end 23759.72721875
transcript.pyannote[1401].speaker SPEAKER_24
transcript.pyannote[1401].start 23759.72721875
transcript.pyannote[1401].end 23759.99721875
transcript.pyannote[1402].speaker SPEAKER_04
transcript.pyannote[1402].start 23759.99721875
transcript.pyannote[1402].end 23760.06471875
transcript.pyannote[1403].speaker SPEAKER_00
transcript.pyannote[1403].start 23760.06471875
transcript.pyannote[1403].end 23760.25034375
transcript.pyannote[1404].speaker SPEAKER_25
transcript.pyannote[1404].start 23767.96221875
transcript.pyannote[1404].end 23770.94909375
transcript.pyannote[1405].speaker SPEAKER_25
transcript.pyannote[1405].start 23771.55659375
transcript.pyannote[1405].end 23773.10909375
transcript.pyannote[1406].speaker SPEAKER_25
transcript.pyannote[1406].start 23773.58159375
transcript.pyannote[1406].end 23775.25221875
transcript.pyannote[1407].speaker SPEAKER_25
transcript.pyannote[1407].start 23775.77534375
transcript.pyannote[1407].end 23782.40721875
transcript.pyannote[1408].speaker SPEAKER_22
transcript.pyannote[1408].start 23779.60596875
transcript.pyannote[1408].end 23779.63971875
transcript.pyannote[1409].speaker SPEAKER_22
transcript.pyannote[1409].start 23781.29346875
transcript.pyannote[1409].end 23781.61409375
transcript.pyannote[1410].speaker SPEAKER_00
transcript.pyannote[1410].start 23781.61409375
transcript.pyannote[1410].end 23781.63096875
transcript.pyannote[1411].speaker SPEAKER_25
transcript.pyannote[1411].start 23783.04846875
transcript.pyannote[1411].end 23783.72346875
transcript.pyannote[1412].speaker SPEAKER_25
transcript.pyannote[1412].start 23783.75721875
transcript.pyannote[1412].end 23786.52471875
transcript.pyannote[1413].speaker SPEAKER_25
transcript.pyannote[1413].start 23786.99721875
transcript.pyannote[1413].end 23787.58784375
transcript.pyannote[1414].speaker SPEAKER_25
transcript.pyannote[1414].start 23789.19096875
transcript.pyannote[1414].end 23793.74721875
transcript.pyannote[1415].speaker SPEAKER_25
transcript.pyannote[1415].start 23794.06784375
transcript.pyannote[1415].end 23797.32471875
transcript.pyannote[1416].speaker SPEAKER_25
transcript.pyannote[1416].start 23797.69596875
transcript.pyannote[1416].end 23799.40034375
transcript.pyannote[1417].speaker SPEAKER_25
transcript.pyannote[1417].start 23799.73784375
transcript.pyannote[1417].end 23802.62346875
transcript.pyannote[1418].speaker SPEAKER_25
transcript.pyannote[1418].start 23803.43346875
transcript.pyannote[1418].end 23806.52159375
transcript.pyannote[1419].speaker SPEAKER_25
transcript.pyannote[1419].start 23807.88846875
transcript.pyannote[1419].end 23812.22534375
transcript.pyannote[1420].speaker SPEAKER_02
transcript.pyannote[1420].start 23812.22534375
transcript.pyannote[1420].end 23812.69784375
transcript.pyannote[1421].speaker SPEAKER_25
transcript.pyannote[1421].start 23812.69784375
transcript.pyannote[1421].end 23812.78221875
transcript.pyannote[1422].speaker SPEAKER_02
transcript.pyannote[1422].start 23812.78221875
transcript.pyannote[1422].end 23813.23784375
transcript.pyannote[1423].speaker SPEAKER_25
transcript.pyannote[1423].start 23813.23784375
transcript.pyannote[1423].end 23814.38534375
transcript.pyannote[1424].speaker SPEAKER_02
transcript.pyannote[1424].start 23813.30534375
transcript.pyannote[1424].end 23815.51596875
transcript.pyannote[1425].speaker SPEAKER_15
transcript.pyannote[1425].start 23814.38534375
transcript.pyannote[1425].end 23814.40221875
transcript.pyannote[1426].speaker SPEAKER_02
transcript.pyannote[1426].start 23815.60034375
transcript.pyannote[1426].end 23825.18534375
transcript.pyannote[1427].speaker SPEAKER_02
transcript.pyannote[1427].start 23825.48909375
transcript.pyannote[1427].end 23826.13034375
transcript.pyannote[1428].speaker SPEAKER_02
transcript.pyannote[1428].start 23826.29909375
transcript.pyannote[1428].end 23854.86846875
transcript.pyannote[1429].speaker SPEAKER_25
transcript.pyannote[1429].start 23852.38784375
transcript.pyannote[1429].end 23865.36471875
transcript.pyannote[1430].speaker SPEAKER_02
transcript.pyannote[1430].start 23861.41596875
transcript.pyannote[1430].end 23861.80409375
transcript.pyannote[1431].speaker SPEAKER_02
transcript.pyannote[1431].start 23862.44534375
transcript.pyannote[1431].end 23891.75721875
transcript.pyannote[1432].speaker SPEAKER_25
transcript.pyannote[1432].start 23868.94221875
transcript.pyannote[1432].end 23869.71846875
transcript.pyannote[1433].speaker SPEAKER_00
transcript.pyannote[1433].start 23869.71846875
transcript.pyannote[1433].end 23869.73534375
transcript.pyannote[1434].speaker SPEAKER_00
transcript.pyannote[1434].start 23870.49471875
transcript.pyannote[1434].end 23870.84909375
transcript.pyannote[1435].speaker SPEAKER_25
transcript.pyannote[1435].start 23877.70034375
transcript.pyannote[1435].end 23879.32034375
transcript.pyannote[1436].speaker SPEAKER_25
transcript.pyannote[1436].start 23890.47471875
transcript.pyannote[1436].end 23904.61596875
transcript.pyannote[1437].speaker SPEAKER_02
transcript.pyannote[1437].start 23894.92971875
transcript.pyannote[1437].end 23894.98034375
transcript.pyannote[1438].speaker SPEAKER_22
transcript.pyannote[1438].start 23895.13221875
transcript.pyannote[1438].end 23895.14909375
transcript.pyannote[1439].speaker SPEAKER_25
transcript.pyannote[1439].start 23905.27409375
transcript.pyannote[1439].end 23907.97409375
transcript.pyannote[1440].speaker SPEAKER_02
transcript.pyannote[1440].start 23907.97409375
transcript.pyannote[1440].end 23917.76159375
transcript.pyannote[1441].speaker SPEAKER_25
transcript.pyannote[1441].start 23917.76159375
transcript.pyannote[1441].end 23926.92471875
transcript.pyannote[1442].speaker SPEAKER_02
transcript.pyannote[1442].start 23921.57534375
transcript.pyannote[1442].end 23923.07721875
transcript.pyannote[1443].speaker SPEAKER_15
transcript.pyannote[1443].start 23923.07721875
transcript.pyannote[1443].end 23923.54971875
transcript.pyannote[1444].speaker SPEAKER_02
transcript.pyannote[1444].start 23923.54971875
transcript.pyannote[1444].end 23924.27534375
transcript.pyannote[1445].speaker SPEAKER_15
transcript.pyannote[1445].start 23924.27534375
transcript.pyannote[1445].end 23924.46096875
transcript.pyannote[1446].speaker SPEAKER_02
transcript.pyannote[1446].start 23924.46096875
transcript.pyannote[1446].end 23924.56221875
transcript.pyannote[1447].speaker SPEAKER_15
transcript.pyannote[1447].start 23924.56221875
transcript.pyannote[1447].end 23937.37034375
transcript.pyannote[1448].speaker SPEAKER_25
transcript.pyannote[1448].start 23927.09346875
transcript.pyannote[1448].end 23927.11034375
transcript.pyannote[1449].speaker SPEAKER_25
transcript.pyannote[1449].start 23927.19471875
transcript.pyannote[1449].end 23927.38034375
transcript.pyannote[1450].speaker SPEAKER_15
transcript.pyannote[1450].start 23937.77534375
transcript.pyannote[1450].end 23953.72221875
transcript.pyannote[1451].speaker SPEAKER_15
transcript.pyannote[1451].start 23954.31284375
transcript.pyannote[1451].end 23954.34659375
transcript.pyannote[1452].speaker SPEAKER_25
transcript.pyannote[1452].start 23954.34659375
transcript.pyannote[1452].end 23961.60284375
transcript.pyannote[1453].speaker SPEAKER_15
transcript.pyannote[1453].start 23957.48534375
transcript.pyannote[1453].end 23958.49784375
transcript.pyannote[1454].speaker SPEAKER_15
transcript.pyannote[1454].start 23960.42159375
transcript.pyannote[1454].end 23961.34971875
transcript.pyannote[1455].speaker SPEAKER_25
transcript.pyannote[1455].start 23961.90659375
transcript.pyannote[1455].end 23964.97784375
transcript.pyannote[1456].speaker SPEAKER_25
transcript.pyannote[1456].start 23965.41659375
transcript.pyannote[1456].end 23969.33159375
transcript.pyannote[1457].speaker SPEAKER_25
transcript.pyannote[1457].start 23969.60159375
transcript.pyannote[1457].end 23973.43221875
transcript.pyannote[1458].speaker SPEAKER_15
transcript.pyannote[1458].start 23972.45346875
transcript.pyannote[1458].end 23975.28846875
transcript.pyannote[1459].speaker SPEAKER_25
transcript.pyannote[1459].start 23974.39409375
transcript.pyannote[1459].end 23979.96284375
transcript.pyannote[1460].speaker SPEAKER_25
transcript.pyannote[1460].start 23980.35096875
transcript.pyannote[1460].end 23984.43471875
transcript.pyannote[1461].speaker SPEAKER_25
transcript.pyannote[1461].start 23984.56971875
transcript.pyannote[1461].end 23996.07846875
transcript.pyannote[1462].speaker SPEAKER_00
transcript.pyannote[1462].start 23995.35284375
transcript.pyannote[1462].end 23995.75784375
transcript.pyannote[1463].speaker SPEAKER_25
transcript.pyannote[1463].start 23996.33159375
transcript.pyannote[1463].end 23998.55909375
transcript.pyannote[1464].speaker SPEAKER_25
transcript.pyannote[1464].start 23998.91346875
transcript.pyannote[1464].end 24002.96346875
transcript.pyannote[1465].speaker SPEAKER_00
transcript.pyannote[1465].start 23999.77409375
transcript.pyannote[1465].end 23999.84159375
transcript.pyannote[1466].speaker SPEAKER_02
transcript.pyannote[1466].start 23999.84159375
transcript.pyannote[1466].end 24002.13659375
transcript.pyannote[1467].speaker SPEAKER_02
transcript.pyannote[1467].start 24002.96346875
transcript.pyannote[1467].end 24003.03096875
transcript.pyannote[1468].speaker SPEAKER_25
transcript.pyannote[1468].start 24003.03096875
transcript.pyannote[1468].end 24008.12721875
transcript.pyannote[1469].speaker SPEAKER_25
transcript.pyannote[1469].start 24009.49409375
transcript.pyannote[1469].end 24013.56096875
transcript.pyannote[1470].speaker SPEAKER_25
transcript.pyannote[1470].start 24023.66909375
transcript.pyannote[1470].end 24024.27659375
transcript.pyannote[1471].speaker SPEAKER_25
transcript.pyannote[1471].start 24024.41159375
transcript.pyannote[1471].end 24026.97659375
transcript.pyannote[1472].speaker SPEAKER_25
transcript.pyannote[1472].start 24027.78659375
transcript.pyannote[1472].end 24029.30534375
transcript.pyannote[1473].speaker SPEAKER_25
transcript.pyannote[1473].start 24029.91284375
transcript.pyannote[1473].end 24032.84909375
transcript.pyannote[1474].speaker SPEAKER_25
transcript.pyannote[1474].start 24033.37221875
transcript.pyannote[1474].end 24035.22846875
transcript.pyannote[1475].speaker SPEAKER_25
transcript.pyannote[1475].start 24035.83596875
transcript.pyannote[1475].end 24037.45596875
transcript.pyannote[1476].speaker SPEAKER_25
transcript.pyannote[1476].start 24037.96221875
transcript.pyannote[1476].end 24062.14409375
transcript.pyannote[1477].speaker SPEAKER_04
transcript.pyannote[1477].start 24062.14409375
transcript.pyannote[1477].end 24065.48534375
transcript.pyannote[1478].speaker SPEAKER_25
transcript.pyannote[1478].start 24062.56596875
transcript.pyannote[1478].end 24068.11784375
transcript.pyannote[1479].speaker SPEAKER_25
transcript.pyannote[1479].start 24068.37096875
transcript.pyannote[1479].end 24072.87659375
transcript.pyannote[1480].speaker SPEAKER_04
transcript.pyannote[1480].start 24073.56846875
transcript.pyannote[1480].end 24094.49346875
transcript.pyannote[1481].speaker SPEAKER_00
transcript.pyannote[1481].start 24084.70596875
transcript.pyannote[1481].end 24085.11096875
transcript.pyannote[1482].speaker SPEAKER_04
transcript.pyannote[1482].start 24094.78034375
transcript.pyannote[1482].end 24110.18721875
transcript.pyannote[1483].speaker SPEAKER_25
transcript.pyannote[1483].start 24105.83346875
transcript.pyannote[1483].end 24107.33534375
transcript.pyannote[1484].speaker SPEAKER_25
transcript.pyannote[1484].start 24108.85409375
transcript.pyannote[1484].end 24114.27096875
transcript.pyannote[1485].speaker SPEAKER_25
transcript.pyannote[1485].start 24114.77721875
transcript.pyannote[1485].end 24118.25346875
transcript.pyannote[1486].speaker SPEAKER_25
transcript.pyannote[1486].start 24118.62471875
transcript.pyannote[1486].end 24126.94409375
transcript.pyannote[1487].speaker SPEAKER_04
transcript.pyannote[1487].start 24125.18909375
transcript.pyannote[1487].end 24125.23971875
transcript.pyannote[1488].speaker SPEAKER_04
transcript.pyannote[1488].start 24125.25659375
transcript.pyannote[1488].end 24132.34409375
transcript.pyannote[1489].speaker SPEAKER_25
transcript.pyannote[1489].start 24127.80471875
transcript.pyannote[1489].end 24129.45846875
transcript.pyannote[1490].speaker SPEAKER_25
transcript.pyannote[1490].start 24130.21784375
transcript.pyannote[1490].end 24130.63971875
transcript.pyannote[1491].speaker SPEAKER_25
transcript.pyannote[1491].start 24131.75346875
transcript.pyannote[1491].end 24136.30971875
transcript.pyannote[1492].speaker SPEAKER_25
transcript.pyannote[1492].start 24136.66409375
transcript.pyannote[1492].end 24139.58346875
transcript.pyannote[1493].speaker SPEAKER_04
transcript.pyannote[1493].start 24139.31346875
transcript.pyannote[1493].end 24139.51596875
transcript.pyannote[1494].speaker SPEAKER_04
transcript.pyannote[1494].start 24139.58346875
transcript.pyannote[1494].end 24143.65034375
transcript.pyannote[1495].speaker SPEAKER_25
transcript.pyannote[1495].start 24140.62971875
transcript.pyannote[1495].end 24142.40159375
transcript.pyannote[1496].speaker SPEAKER_25
transcript.pyannote[1496].start 24143.65034375
transcript.pyannote[1496].end 24147.51471875
transcript.pyannote[1497].speaker SPEAKER_25
transcript.pyannote[1497].start 24148.17284375
transcript.pyannote[1497].end 24151.80096875
transcript.pyannote[1498].speaker SPEAKER_25
transcript.pyannote[1498].start 24152.59409375
transcript.pyannote[1498].end 24154.02846875
transcript.pyannote[1499].speaker SPEAKER_04
transcript.pyannote[1499].start 24154.02846875
transcript.pyannote[1499].end 24156.50909375
transcript.pyannote[1500].speaker SPEAKER_25
transcript.pyannote[1500].start 24154.09596875
transcript.pyannote[1500].end 24154.12971875
transcript.pyannote[1501].speaker SPEAKER_25
transcript.pyannote[1501].start 24154.18034375
transcript.pyannote[1501].end 24154.66971875
transcript.pyannote[1502].speaker SPEAKER_25
transcript.pyannote[1502].start 24155.68221875
transcript.pyannote[1502].end 24163.76534375
transcript.pyannote[1503].speaker SPEAKER_04
transcript.pyannote[1503].start 24158.97284375
transcript.pyannote[1503].end 24167.91659375
transcript.pyannote[1504].speaker SPEAKER_25
transcript.pyannote[1504].start 24167.66346875
transcript.pyannote[1504].end 24180.37034375
transcript.pyannote[1505].speaker SPEAKER_04
transcript.pyannote[1505].start 24168.01784375
transcript.pyannote[1505].end 24169.14846875
transcript.pyannote[1506].speaker SPEAKER_04
transcript.pyannote[1506].start 24173.48534375
transcript.pyannote[1506].end 24174.43034375
transcript.pyannote[1507].speaker SPEAKER_25
transcript.pyannote[1507].start 24180.79221875
transcript.pyannote[1507].end 24181.65284375
transcript.pyannote[1508].speaker SPEAKER_25
transcript.pyannote[1508].start 24181.82159375
transcript.pyannote[1508].end 24187.87971875
transcript.pyannote[1509].speaker SPEAKER_25
transcript.pyannote[1509].start 24187.98096875
transcript.pyannote[1509].end 24189.34784375
transcript.pyannote[1510].speaker SPEAKER_25
transcript.pyannote[1510].start 24189.78659375
transcript.pyannote[1510].end 24192.13221875
transcript.pyannote[1511].speaker SPEAKER_25
transcript.pyannote[1511].start 24192.62159375
transcript.pyannote[1511].end 24194.03909375
transcript.pyannote[1512].speaker SPEAKER_25
transcript.pyannote[1512].start 24194.20784375
transcript.pyannote[1512].end 24198.05534375
transcript.pyannote[1513].speaker SPEAKER_25
transcript.pyannote[1513].start 24198.44346875
transcript.pyannote[1513].end 24208.11284375
transcript.pyannote[1514].speaker SPEAKER_25
transcript.pyannote[1514].start 24208.56846875
transcript.pyannote[1514].end 24210.69471875
transcript.pyannote[1515].speaker SPEAKER_25
transcript.pyannote[1515].start 24211.31909375
transcript.pyannote[1515].end 24213.25971875
transcript.pyannote[1516].speaker SPEAKER_25
transcript.pyannote[1516].start 24213.54659375
transcript.pyannote[1516].end 24222.84471875
transcript.pyannote[1517].speaker SPEAKER_04
transcript.pyannote[1517].start 24223.45221875
transcript.pyannote[1517].end 24237.81284375
transcript.pyannote[1518].speaker SPEAKER_25
transcript.pyannote[1518].start 24237.17159375
transcript.pyannote[1518].end 24237.69471875
transcript.pyannote[1519].speaker SPEAKER_25
transcript.pyannote[1519].start 24237.81284375
transcript.pyannote[1519].end 24240.07409375
transcript.pyannote[1520].speaker SPEAKER_25
transcript.pyannote[1520].start 24240.52971875
transcript.pyannote[1520].end 24244.88346875
transcript.pyannote[1521].speaker SPEAKER_22
transcript.pyannote[1521].start 24244.88346875
transcript.pyannote[1521].end 24245.13659375
transcript.pyannote[1522].speaker SPEAKER_25
transcript.pyannote[1522].start 24245.00159375
transcript.pyannote[1522].end 24252.25784375
transcript.pyannote[1523].speaker SPEAKER_25
transcript.pyannote[1523].start 24252.71346875
transcript.pyannote[1523].end 24253.99596875
transcript.pyannote[1524].speaker SPEAKER_25
transcript.pyannote[1524].start 24254.46846875
transcript.pyannote[1524].end 24259.07534375
transcript.pyannote[1525].speaker SPEAKER_04
transcript.pyannote[1525].start 24257.97846875
transcript.pyannote[1525].end 24263.81721875
transcript.pyannote[1526].speaker SPEAKER_04
transcript.pyannote[1526].start 24264.55971875
transcript.pyannote[1526].end 24270.82034375
transcript.pyannote[1527].speaker SPEAKER_25
transcript.pyannote[1527].start 24269.63909375
transcript.pyannote[1527].end 24279.96659375
transcript.pyannote[1528].speaker SPEAKER_04
transcript.pyannote[1528].start 24272.44034375
transcript.pyannote[1528].end 24275.15721875
transcript.pyannote[1529].speaker SPEAKER_25
transcript.pyannote[1529].start 24280.16909375
transcript.pyannote[1529].end 24280.96221875
transcript.pyannote[1530].speaker SPEAKER_04
transcript.pyannote[1530].start 24280.20284375
transcript.pyannote[1530].end 24283.96596875
transcript.pyannote[1531].speaker SPEAKER_04
transcript.pyannote[1531].start 24284.25284375
transcript.pyannote[1531].end 24287.02034375
transcript.pyannote[1532].speaker SPEAKER_25
transcript.pyannote[1532].start 24285.80534375
transcript.pyannote[1532].end 24286.86846875
transcript.pyannote[1533].speaker SPEAKER_04
transcript.pyannote[1533].start 24287.66159375
transcript.pyannote[1533].end 24289.24784375
transcript.pyannote[1534].speaker SPEAKER_04
transcript.pyannote[1534].start 24289.72034375
transcript.pyannote[1534].end 24300.95909375
transcript.pyannote[1535].speaker SPEAKER_25
transcript.pyannote[1535].start 24300.95909375
transcript.pyannote[1535].end 24304.30034375
transcript.pyannote[1536].speaker SPEAKER_04
transcript.pyannote[1536].start 24301.00971875
transcript.pyannote[1536].end 24301.02659375
transcript.pyannote[1537].speaker SPEAKER_04
transcript.pyannote[1537].start 24304.30034375
transcript.pyannote[1537].end 24307.65846875
transcript.pyannote[1538].speaker SPEAKER_25
transcript.pyannote[1538].start 24304.68846875
transcript.pyannote[1538].end 24307.69221875
transcript.pyannote[1539].speaker SPEAKER_04
transcript.pyannote[1539].start 24307.69221875
transcript.pyannote[1539].end 24309.41346875
transcript.pyannote[1540].speaker SPEAKER_25
transcript.pyannote[1540].start 24308.82284375
transcript.pyannote[1540].end 24314.34096875
transcript.pyannote[1541].speaker SPEAKER_04
transcript.pyannote[1541].start 24313.12596875
transcript.pyannote[1541].end 24318.49221875
transcript.pyannote[1542].speaker SPEAKER_25
transcript.pyannote[1542].start 24317.17596875
transcript.pyannote[1542].end 24318.66096875
transcript.pyannote[1543].speaker SPEAKER_25
transcript.pyannote[1543].start 24320.73659375
transcript.pyannote[1543].end 24322.50846875
transcript.pyannote[1544].speaker SPEAKER_25
transcript.pyannote[1544].start 24322.94721875
transcript.pyannote[1544].end 24327.65534375
transcript.pyannote[1545].speaker SPEAKER_25
transcript.pyannote[1545].start 24327.99284375
transcript.pyannote[1545].end 24329.14034375
transcript.pyannote[1546].speaker SPEAKER_25
transcript.pyannote[1546].start 24329.24159375
transcript.pyannote[1546].end 24332.68409375
transcript.pyannote[1547].speaker SPEAKER_25
transcript.pyannote[1547].start 24333.32534375
transcript.pyannote[1547].end 24336.86909375
transcript.pyannote[1548].speaker SPEAKER_25
transcript.pyannote[1548].start 24337.10534375
transcript.pyannote[1548].end 24338.96159375
transcript.pyannote[1549].speaker SPEAKER_25
transcript.pyannote[1549].start 24338.97846875
transcript.pyannote[1549].end 24341.62784375
transcript.pyannote[1550].speaker SPEAKER_25
transcript.pyannote[1550].start 24341.94846875
transcript.pyannote[1550].end 24346.94346875
transcript.pyannote[1551].speaker SPEAKER_25
transcript.pyannote[1551].start 24347.23034375
transcript.pyannote[1551].end 24349.35659375
transcript.pyannote[1552].speaker SPEAKER_25
transcript.pyannote[1552].start 24349.71096875
transcript.pyannote[1552].end 24350.11596875
transcript.pyannote[1553].speaker SPEAKER_25
transcript.pyannote[1553].start 24350.92596875
transcript.pyannote[1553].end 24356.39346875
transcript.pyannote[1554].speaker SPEAKER_25
transcript.pyannote[1554].start 24356.74784375
transcript.pyannote[1554].end 24365.75909375
transcript.pyannote[1555].speaker SPEAKER_25
transcript.pyannote[1555].start 24365.91096875
transcript.pyannote[1555].end 24373.74096875
transcript.pyannote[1556].speaker SPEAKER_25
transcript.pyannote[1556].start 24374.75346875
transcript.pyannote[1556].end 24375.69846875
transcript.pyannote[1557].speaker SPEAKER_04
transcript.pyannote[1557].start 24376.08659375
transcript.pyannote[1557].end 24382.27971875
transcript.pyannote[1558].speaker SPEAKER_25
transcript.pyannote[1558].start 24378.28034375
transcript.pyannote[1558].end 24378.56721875
transcript.pyannote[1559].speaker SPEAKER_25
transcript.pyannote[1559].start 24381.58784375
transcript.pyannote[1559].end 24385.28346875
transcript.pyannote[1560].speaker SPEAKER_04
transcript.pyannote[1560].start 24384.84471875
transcript.pyannote[1560].end 24385.14846875
transcript.pyannote[1561].speaker SPEAKER_04
transcript.pyannote[1561].start 24385.21596875
transcript.pyannote[1561].end 24387.78096875
transcript.pyannote[1562].speaker SPEAKER_25
transcript.pyannote[1562].start 24385.75596875
transcript.pyannote[1562].end 24385.78971875
transcript.pyannote[1563].speaker SPEAKER_25
transcript.pyannote[1563].start 24386.81909375
transcript.pyannote[1563].end 24392.87721875
transcript.pyannote[1564].speaker SPEAKER_25
transcript.pyannote[1564].start 24393.56909375
transcript.pyannote[1564].end 24397.45034375
transcript.pyannote[1565].speaker SPEAKER_25
transcript.pyannote[1565].start 24398.00721875
transcript.pyannote[1565].end 24398.36159375
transcript.pyannote[1566].speaker SPEAKER_04
transcript.pyannote[1566].start 24399.15471875
transcript.pyannote[1566].end 24403.10346875
transcript.pyannote[1567].speaker SPEAKER_25
transcript.pyannote[1567].start 24400.77471875
transcript.pyannote[1567].end 24407.03534375
transcript.pyannote[1568].speaker SPEAKER_25
transcript.pyannote[1568].start 24407.33909375
transcript.pyannote[1568].end 24414.08909375
transcript.pyannote[1569].speaker SPEAKER_04
transcript.pyannote[1569].start 24407.52471875
transcript.pyannote[1569].end 24408.14909375
transcript.pyannote[1570].speaker SPEAKER_25
transcript.pyannote[1570].start 24414.62909375
transcript.pyannote[1570].end 24419.20221875
transcript.pyannote[1571].speaker SPEAKER_25
transcript.pyannote[1571].start 24420.07971875
transcript.pyannote[1571].end 24421.76721875
transcript.pyannote[1572].speaker SPEAKER_04
transcript.pyannote[1572].start 24420.68721875
transcript.pyannote[1572].end 24420.72096875
transcript.pyannote[1573].speaker SPEAKER_04
transcript.pyannote[1573].start 24420.73784375
transcript.pyannote[1573].end 24422.42534375
transcript.pyannote[1574].speaker SPEAKER_25
transcript.pyannote[1574].start 24424.63596875
transcript.pyannote[1574].end 24424.70346875
transcript.pyannote[1575].speaker SPEAKER_04
transcript.pyannote[1575].start 24424.70346875
transcript.pyannote[1575].end 24424.72034375
transcript.pyannote[1576].speaker SPEAKER_25
transcript.pyannote[1576].start 24424.72034375
transcript.pyannote[1576].end 24424.73721875
transcript.pyannote[1577].speaker SPEAKER_29
transcript.pyannote[1577].start 24424.73721875
transcript.pyannote[1577].end 24424.88909375
transcript.pyannote[1578].speaker SPEAKER_25
transcript.pyannote[1578].start 24424.88909375
transcript.pyannote[1578].end 24424.92284375
transcript.pyannote[1579].speaker SPEAKER_25
transcript.pyannote[1579].start 24424.97346875
transcript.pyannote[1579].end 24428.83784375
transcript.pyannote[1580].speaker SPEAKER_29
transcript.pyannote[1580].start 24426.25596875
transcript.pyannote[1580].end 24431.48721875
transcript.pyannote[1581].speaker SPEAKER_29
transcript.pyannote[1581].start 24434.74409375
transcript.pyannote[1581].end 24437.79846875
transcript.pyannote[1582].speaker SPEAKER_29
transcript.pyannote[1582].start 24438.38909375
transcript.pyannote[1582].end 24443.24909375
transcript.pyannote[1583].speaker SPEAKER_08
transcript.pyannote[1583].start 24455.75346875
transcript.pyannote[1583].end 24458.50409375
transcript.pyannote[1584].speaker SPEAKER_08
transcript.pyannote[1584].start 24458.85846875
transcript.pyannote[1584].end 24458.89221875
transcript.pyannote[1585].speaker SPEAKER_29
transcript.pyannote[1585].start 24458.89221875
transcript.pyannote[1585].end 24459.78659375
transcript.pyannote[1586].speaker SPEAKER_08
transcript.pyannote[1586].start 24458.90909375
transcript.pyannote[1586].end 24460.15784375
transcript.pyannote[1587].speaker SPEAKER_29
transcript.pyannote[1587].start 24460.15784375
transcript.pyannote[1587].end 24462.25034375
transcript.pyannote[1588].speaker SPEAKER_08
transcript.pyannote[1588].start 24462.79034375
transcript.pyannote[1588].end 24463.60034375
transcript.pyannote[1589].speaker SPEAKER_29
transcript.pyannote[1589].start 24463.60034375
transcript.pyannote[1589].end 24463.66784375
transcript.pyannote[1590].speaker SPEAKER_08
transcript.pyannote[1590].start 24463.66784375
transcript.pyannote[1590].end 24464.46096875
transcript.pyannote[1591].speaker SPEAKER_29
transcript.pyannote[1591].start 24463.68471875
transcript.pyannote[1591].end 24464.96721875
transcript.pyannote[1592].speaker SPEAKER_29
transcript.pyannote[1592].start 24466.06409375
transcript.pyannote[1592].end 24470.94096875
transcript.pyannote[1593].speaker SPEAKER_08
transcript.pyannote[1593].start 24466.40159375
transcript.pyannote[1593].end 24468.08909375
transcript.pyannote[1594].speaker SPEAKER_29
transcript.pyannote[1594].start 24471.43034375
transcript.pyannote[1594].end 24480.57659375
transcript.pyannote[1595].speaker SPEAKER_08
transcript.pyannote[1595].start 24473.11784375
transcript.pyannote[1595].end 24474.26534375
transcript.pyannote[1596].speaker SPEAKER_08
transcript.pyannote[1596].start 24475.07534375
transcript.pyannote[1596].end 24475.17659375
transcript.pyannote[1597].speaker SPEAKER_08
transcript.pyannote[1597].start 24475.36221875
transcript.pyannote[1597].end 24476.42534375
transcript.pyannote[1598].speaker SPEAKER_29
transcript.pyannote[1598].start 24481.97721875
transcript.pyannote[1598].end 24483.88409375
transcript.pyannote[1599].speaker SPEAKER_29
transcript.pyannote[1599].start 24484.66034375
transcript.pyannote[1599].end 24485.65596875
transcript.pyannote[1600].speaker SPEAKER_08
transcript.pyannote[1600].start 24485.03159375
transcript.pyannote[1600].end 24485.68971875
transcript.pyannote[1601].speaker SPEAKER_29
transcript.pyannote[1601].start 24485.68971875
transcript.pyannote[1601].end 24485.89221875
transcript.pyannote[1602].speaker SPEAKER_08
transcript.pyannote[1602].start 24485.89221875
transcript.pyannote[1602].end 24485.94284375
transcript.pyannote[1603].speaker SPEAKER_29
transcript.pyannote[1603].start 24485.94284375
transcript.pyannote[1603].end 24485.97659375
transcript.pyannote[1604].speaker SPEAKER_08
transcript.pyannote[1604].start 24485.97659375
transcript.pyannote[1604].end 24488.06909375
transcript.pyannote[1605].speaker SPEAKER_08
transcript.pyannote[1605].start 24488.28846875
transcript.pyannote[1605].end 24493.48596875
transcript.pyannote[1606].speaker SPEAKER_08
transcript.pyannote[1606].start 24493.97534375
transcript.pyannote[1606].end 24499.02096875
transcript.pyannote[1607].speaker SPEAKER_08
transcript.pyannote[1607].start 24499.86471875
transcript.pyannote[1607].end 24502.02471875
transcript.pyannote[1608].speaker SPEAKER_08
transcript.pyannote[1608].start 24502.69971875
transcript.pyannote[1608].end 24505.04534375
transcript.pyannote[1609].speaker SPEAKER_08
transcript.pyannote[1609].start 24505.70346875
transcript.pyannote[1609].end 24507.45846875
transcript.pyannote[1610].speaker SPEAKER_08
transcript.pyannote[1610].start 24508.20096875
transcript.pyannote[1610].end 24510.24284375
transcript.pyannote[1611].speaker SPEAKER_08
transcript.pyannote[1611].start 24510.96846875
transcript.pyannote[1611].end 24514.32659375
transcript.pyannote[1612].speaker SPEAKER_08
transcript.pyannote[1612].start 24515.38971875
transcript.pyannote[1612].end 24516.77346875
transcript.pyannote[1613].speaker SPEAKER_08
transcript.pyannote[1613].start 24517.17846875
transcript.pyannote[1613].end 24517.66784375
transcript.pyannote[1614].speaker SPEAKER_08
transcript.pyannote[1614].start 24518.25846875
transcript.pyannote[1614].end 24519.52409375
transcript.pyannote[1615].speaker SPEAKER_08
transcript.pyannote[1615].start 24519.81096875
transcript.pyannote[1615].end 24520.67159375
transcript.pyannote[1616].speaker SPEAKER_08
transcript.pyannote[1616].start 24521.68409375
transcript.pyannote[1616].end 24524.41784375
transcript.pyannote[1617].speaker SPEAKER_08
transcript.pyannote[1617].start 24524.92409375
transcript.pyannote[1617].end 24525.39659375
transcript.pyannote[1618].speaker SPEAKER_08
transcript.pyannote[1618].start 24526.96596875
transcript.pyannote[1618].end 24527.59034375
transcript.pyannote[1619].speaker SPEAKER_08
transcript.pyannote[1619].start 24528.23159375
transcript.pyannote[1619].end 24528.94034375
transcript.pyannote[1620].speaker SPEAKER_08
transcript.pyannote[1620].start 24530.18909375
transcript.pyannote[1620].end 24532.87221875
transcript.pyannote[1621].speaker SPEAKER_08
transcript.pyannote[1621].start 24533.85096875
transcript.pyannote[1621].end 24536.31471875
transcript.pyannote[1622].speaker SPEAKER_08
transcript.pyannote[1622].start 24537.17534375
transcript.pyannote[1622].end 24538.42409375
transcript.pyannote[1623].speaker SPEAKER_08
transcript.pyannote[1623].start 24538.94721875
transcript.pyannote[1623].end 24540.22971875
transcript.pyannote[1624].speaker SPEAKER_08
transcript.pyannote[1624].start 24541.00596875
transcript.pyannote[1624].end 24541.66409375
transcript.pyannote[1625].speaker SPEAKER_08
transcript.pyannote[1625].start 24541.78221875
transcript.pyannote[1625].end 24542.81159375
transcript.pyannote[1626].speaker SPEAKER_08
transcript.pyannote[1626].start 24543.23346875
transcript.pyannote[1626].end 24544.11096875
transcript.pyannote[1627].speaker SPEAKER_08
transcript.pyannote[1627].start 24544.70159375
transcript.pyannote[1627].end 24546.57471875
transcript.pyannote[1628].speaker SPEAKER_08
transcript.pyannote[1628].start 24547.08096875
transcript.pyannote[1628].end 24548.86971875
transcript.pyannote[1629].speaker SPEAKER_08
transcript.pyannote[1629].start 24549.24096875
transcript.pyannote[1629].end 24551.87346875
transcript.pyannote[1630].speaker SPEAKER_08
transcript.pyannote[1630].start 24552.49784375
transcript.pyannote[1630].end 24557.93159375
transcript.pyannote[1631].speaker SPEAKER_08
transcript.pyannote[1631].start 24558.60659375
transcript.pyannote[1631].end 24559.66971875
transcript.pyannote[1632].speaker SPEAKER_08
transcript.pyannote[1632].start 24560.26034375
transcript.pyannote[1632].end 24563.23034375
transcript.pyannote[1633].speaker SPEAKER_08
transcript.pyannote[1633].start 24563.95596875
transcript.pyannote[1633].end 24567.60096875
transcript.pyannote[1634].speaker SPEAKER_08
transcript.pyannote[1634].start 24568.07346875
transcript.pyannote[1634].end 24571.17846875
transcript.pyannote[1635].speaker SPEAKER_08
transcript.pyannote[1635].start 24572.05596875
transcript.pyannote[1635].end 24573.79409375
transcript.pyannote[1636].speaker SPEAKER_08
transcript.pyannote[1636].start 24575.16096875
transcript.pyannote[1636].end 24578.14784375
transcript.pyannote[1637].speaker SPEAKER_08
transcript.pyannote[1637].start 24578.40096875
transcript.pyannote[1637].end 24580.29096875
transcript.pyannote[1638].speaker SPEAKER_08
transcript.pyannote[1638].start 24581.15159375
transcript.pyannote[1638].end 24583.09221875
transcript.pyannote[1639].speaker SPEAKER_08
transcript.pyannote[1639].start 24583.56471875
transcript.pyannote[1639].end 24586.75409375
transcript.pyannote[1640].speaker SPEAKER_08
transcript.pyannote[1640].start 24587.15909375
transcript.pyannote[1640].end 24587.74971875
transcript.pyannote[1641].speaker SPEAKER_08
transcript.pyannote[1641].start 24588.01971875
transcript.pyannote[1641].end 24588.42471875
transcript.pyannote[1642].speaker SPEAKER_08
transcript.pyannote[1642].start 24589.09971875
transcript.pyannote[1642].end 24593.41971875
transcript.pyannote[1643].speaker SPEAKER_08
transcript.pyannote[1643].start 24594.43221875
transcript.pyannote[1643].end 24595.07346875
transcript.pyannote[1644].speaker SPEAKER_08
transcript.pyannote[1644].start 24596.05221875
transcript.pyannote[1644].end 24596.91284375
transcript.pyannote[1645].speaker SPEAKER_08
transcript.pyannote[1645].start 24597.97596875
transcript.pyannote[1645].end 24598.70159375
transcript.pyannote[1646].speaker SPEAKER_08
transcript.pyannote[1646].start 24599.88284375
transcript.pyannote[1646].end 24600.81096875
transcript.pyannote[1647].speaker SPEAKER_08
transcript.pyannote[1647].start 24601.46909375
transcript.pyannote[1647].end 24604.16909375
transcript.pyannote[1648].speaker SPEAKER_08
transcript.pyannote[1648].start 24605.16471875
transcript.pyannote[1648].end 24609.60284375
transcript.pyannote[1649].speaker SPEAKER_08
transcript.pyannote[1649].start 24610.00784375
transcript.pyannote[1649].end 24612.92721875
transcript.pyannote[1650].speaker SPEAKER_08
transcript.pyannote[1650].start 24613.09596875
transcript.pyannote[1650].end 24616.09971875
transcript.pyannote[1651].speaker SPEAKER_08
transcript.pyannote[1651].start 24616.52159375
transcript.pyannote[1651].end 24617.93909375
transcript.pyannote[1652].speaker SPEAKER_08
transcript.pyannote[1652].start 24618.58034375
transcript.pyannote[1652].end 24620.68971875
transcript.pyannote[1653].speaker SPEAKER_08
transcript.pyannote[1653].start 24621.19596875
transcript.pyannote[1653].end 24622.96784375
transcript.pyannote[1654].speaker SPEAKER_08
transcript.pyannote[1654].start 24623.37284375
transcript.pyannote[1654].end 24627.06846875
transcript.pyannote[1655].speaker SPEAKER_08
transcript.pyannote[1655].start 24628.28346875
transcript.pyannote[1655].end 24630.56159375
transcript.pyannote[1656].speaker SPEAKER_08
transcript.pyannote[1656].start 24631.03409375
transcript.pyannote[1656].end 24635.13471875
transcript.pyannote[1657].speaker SPEAKER_08
transcript.pyannote[1657].start 24635.45534375
transcript.pyannote[1657].end 24636.34971875
transcript.pyannote[1658].speaker SPEAKER_08
transcript.pyannote[1658].start 24637.12596875
transcript.pyannote[1658].end 24641.51346875
transcript.pyannote[1659].speaker SPEAKER_08
transcript.pyannote[1659].start 24642.05346875
transcript.pyannote[1659].end 24644.92221875
transcript.pyannote[1660].speaker SPEAKER_08
transcript.pyannote[1660].start 24645.42846875
transcript.pyannote[1660].end 24646.00221875
transcript.pyannote[1661].speaker SPEAKER_08
transcript.pyannote[1661].start 24646.30596875
transcript.pyannote[1661].end 24646.86284375
transcript.pyannote[1662].speaker SPEAKER_08
transcript.pyannote[1662].start 24647.25096875
transcript.pyannote[1662].end 24648.53346875
transcript.pyannote[1663].speaker SPEAKER_08
transcript.pyannote[1663].start 24649.29284375
transcript.pyannote[1663].end 24649.66409375
transcript.pyannote[1664].speaker SPEAKER_08
transcript.pyannote[1664].start 24649.93409375
transcript.pyannote[1664].end 24652.02659375
transcript.pyannote[1665].speaker SPEAKER_08
transcript.pyannote[1665].start 24652.04346875
transcript.pyannote[1665].end 24654.03471875
transcript.pyannote[1666].speaker SPEAKER_08
transcript.pyannote[1666].start 24655.08096875
transcript.pyannote[1666].end 24656.70096875
transcript.pyannote[1667].speaker SPEAKER_08
transcript.pyannote[1667].start 24656.95409375
transcript.pyannote[1667].end 24664.41284375
transcript.pyannote[1668].speaker SPEAKER_08
transcript.pyannote[1668].start 24664.93596875
transcript.pyannote[1668].end 24665.29034375
transcript.pyannote[1669].speaker SPEAKER_08
transcript.pyannote[1669].start 24665.59409375
transcript.pyannote[1669].end 24667.43346875
transcript.pyannote[1670].speaker SPEAKER_08
transcript.pyannote[1670].start 24668.14221875
transcript.pyannote[1670].end 24669.35721875
transcript.pyannote[1671].speaker SPEAKER_08
transcript.pyannote[1671].start 24669.86346875
transcript.pyannote[1671].end 24671.61846875
transcript.pyannote[1672].speaker SPEAKER_08
transcript.pyannote[1672].start 24672.00659375
transcript.pyannote[1672].end 24674.79096875
transcript.pyannote[1673].speaker SPEAKER_08
transcript.pyannote[1673].start 24676.03971875
transcript.pyannote[1673].end 24678.13221875
transcript.pyannote[1674].speaker SPEAKER_08
transcript.pyannote[1674].start 24678.36846875
transcript.pyannote[1674].end 24678.94221875
transcript.pyannote[1675].speaker SPEAKER_08
transcript.pyannote[1675].start 24679.71846875
transcript.pyannote[1675].end 24685.64159375
transcript.pyannote[1676].speaker SPEAKER_08
transcript.pyannote[1676].start 24686.38409375
transcript.pyannote[1676].end 24690.33284375
transcript.pyannote[1677].speaker SPEAKER_08
transcript.pyannote[1677].start 24692.05409375
transcript.pyannote[1677].end 24694.85534375
transcript.pyannote[1678].speaker SPEAKER_08
transcript.pyannote[1678].start 24694.88909375
transcript.pyannote[1678].end 24699.95159375
transcript.pyannote[1679].speaker SPEAKER_08
transcript.pyannote[1679].start 24701.03159375
transcript.pyannote[1679].end 24707.37659375
transcript.pyannote[1680].speaker SPEAKER_08
transcript.pyannote[1680].start 24708.08534375
transcript.pyannote[1680].end 24713.38409375
transcript.pyannote[1681].speaker SPEAKER_08
transcript.pyannote[1681].start 24713.99159375
transcript.pyannote[1681].end 24716.48909375
transcript.pyannote[1682].speaker SPEAKER_08
transcript.pyannote[1682].start 24717.31596875
transcript.pyannote[1682].end 24719.20596875
transcript.pyannote[1683].speaker SPEAKER_15
transcript.pyannote[1683].start 24719.10471875
transcript.pyannote[1683].end 24726.25971875
transcript.pyannote[1684].speaker SPEAKER_15
transcript.pyannote[1684].start 24726.64784375
transcript.pyannote[1684].end 24732.48659375
transcript.pyannote[1685].speaker SPEAKER_15
transcript.pyannote[1685].start 24732.90846875
transcript.pyannote[1685].end 24735.01784375
transcript.pyannote[1686].speaker SPEAKER_15
transcript.pyannote[1686].start 24735.18659375
transcript.pyannote[1686].end 24736.72221875
transcript.pyannote[1687].speaker SPEAKER_15
transcript.pyannote[1687].start 24736.92471875
transcript.pyannote[1687].end 24741.95346875
transcript.pyannote[1688].speaker SPEAKER_15
transcript.pyannote[1688].start 24742.27409375
transcript.pyannote[1688].end 24746.84721875
transcript.pyannote[1689].speaker SPEAKER_15
transcript.pyannote[1689].start 24746.99909375
transcript.pyannote[1689].end 24751.09971875
transcript.pyannote[1690].speaker SPEAKER_15
transcript.pyannote[1690].start 24751.40346875
transcript.pyannote[1690].end 24754.08659375
transcript.pyannote[1691].speaker SPEAKER_15
transcript.pyannote[1691].start 24754.76159375
transcript.pyannote[1691].end 24756.78659375
transcript.pyannote[1692].speaker SPEAKER_15
transcript.pyannote[1692].start 24756.95534375
transcript.pyannote[1692].end 24759.53721875
transcript.pyannote[1693].speaker SPEAKER_15
transcript.pyannote[1693].start 24759.80721875
transcript.pyannote[1693].end 24762.22034375
transcript.pyannote[1694].speaker SPEAKER_15
transcript.pyannote[1694].start 24762.40596875
transcript.pyannote[1694].end 24769.03784375
transcript.pyannote[1695].speaker SPEAKER_08
transcript.pyannote[1695].start 24764.71784375
transcript.pyannote[1695].end 24766.64159375
transcript.pyannote[1696].speaker SPEAKER_15
transcript.pyannote[1696].start 24769.35846875
transcript.pyannote[1696].end 24777.89721875
transcript.pyannote[1697].speaker SPEAKER_08
transcript.pyannote[1697].start 24777.98159375
transcript.pyannote[1697].end 24778.70721875
transcript.pyannote[1698].speaker SPEAKER_15
transcript.pyannote[1698].start 24778.13346875
transcript.pyannote[1698].end 24778.94346875
transcript.pyannote[1699].speaker SPEAKER_08
transcript.pyannote[1699].start 24779.14596875
transcript.pyannote[1699].end 24781.12034375
transcript.pyannote[1700].speaker SPEAKER_08
transcript.pyannote[1700].start 24781.96409375
transcript.pyannote[1700].end 24784.20846875
transcript.pyannote[1701].speaker SPEAKER_08
transcript.pyannote[1701].start 24784.66409375
transcript.pyannote[1701].end 24786.36846875
transcript.pyannote[1702].speaker SPEAKER_08
transcript.pyannote[1702].start 24786.80721875
transcript.pyannote[1702].end 24788.25846875
transcript.pyannote[1703].speaker SPEAKER_08
transcript.pyannote[1703].start 24788.47784375
transcript.pyannote[1703].end 24790.26659375
transcript.pyannote[1704].speaker SPEAKER_08
transcript.pyannote[1704].start 24790.72221875
transcript.pyannote[1704].end 24792.94971875
transcript.pyannote[1705].speaker SPEAKER_08
transcript.pyannote[1705].start 24793.54034375
transcript.pyannote[1705].end 24799.00784375
transcript.pyannote[1706].speaker SPEAKER_08
transcript.pyannote[1706].start 24799.71659375
transcript.pyannote[1706].end 24800.37471875
transcript.pyannote[1707].speaker SPEAKER_15
transcript.pyannote[1707].start 24799.76721875
transcript.pyannote[1707].end 24806.02784375
transcript.pyannote[1708].speaker SPEAKER_08
transcript.pyannote[1708].start 24800.47596875
transcript.pyannote[1708].end 24801.42096875
transcript.pyannote[1709].speaker SPEAKER_08
transcript.pyannote[1709].start 24802.83846875
transcript.pyannote[1709].end 24804.23909375
transcript.pyannote[1710].speaker SPEAKER_08
transcript.pyannote[1710].start 24805.09971875
transcript.pyannote[1710].end 24805.55534375
transcript.pyannote[1711].speaker SPEAKER_21
transcript.pyannote[1711].start 24807.14159375
transcript.pyannote[1711].end 24809.26784375
transcript.pyannote[1712].speaker SPEAKER_21
transcript.pyannote[1712].start 24809.68971875
transcript.pyannote[1712].end 24811.90034375
transcript.pyannote[1713].speaker SPEAKER_21
transcript.pyannote[1713].start 24812.45721875
transcript.pyannote[1713].end 24818.39721875
transcript.pyannote[1714].speaker SPEAKER_21
transcript.pyannote[1714].start 24819.17346875
transcript.pyannote[1714].end 24824.57346875
transcript.pyannote[1715].speaker SPEAKER_21
transcript.pyannote[1715].start 24824.82659375
transcript.pyannote[1715].end 24826.58159375
transcript.pyannote[1716].speaker SPEAKER_21
transcript.pyannote[1716].start 24826.93596875
transcript.pyannote[1716].end 24830.90159375
transcript.pyannote[1717].speaker SPEAKER_21
transcript.pyannote[1717].start 24831.22221875
transcript.pyannote[1717].end 24843.67596875
transcript.pyannote[1718].speaker SPEAKER_08
transcript.pyannote[1718].start 24837.76971875
transcript.pyannote[1718].end 24838.79909375
transcript.pyannote[1719].speaker SPEAKER_08
transcript.pyannote[1719].start 24840.23346875
transcript.pyannote[1719].end 24843.25409375
transcript.pyannote[1720].speaker SPEAKER_08
transcript.pyannote[1720].start 24843.67596875
transcript.pyannote[1720].end 24844.55346875
transcript.pyannote[1721].speaker SPEAKER_08
transcript.pyannote[1721].start 24844.97534375
transcript.pyannote[1721].end 24855.45471875
transcript.pyannote[1722].speaker SPEAKER_08
transcript.pyannote[1722].start 24856.02846875
transcript.pyannote[1722].end 24856.46721875
transcript.pyannote[1723].speaker SPEAKER_08
transcript.pyannote[1723].start 24856.70346875
transcript.pyannote[1723].end 24857.90159375
transcript.pyannote[1724].speaker SPEAKER_08
transcript.pyannote[1724].start 24858.55971875
transcript.pyannote[1724].end 24859.89284375
transcript.pyannote[1725].speaker SPEAKER_08
transcript.pyannote[1725].start 24860.33159375
transcript.pyannote[1725].end 24863.06534375
transcript.pyannote[1726].speaker SPEAKER_15
transcript.pyannote[1726].start 24864.09471875
transcript.pyannote[1726].end 24865.17471875
transcript.pyannote[1727].speaker SPEAKER_15
transcript.pyannote[1727].start 24865.56284375
transcript.pyannote[1727].end 24874.32096875
transcript.pyannote[1728].speaker SPEAKER_08
transcript.pyannote[1728].start 24873.17346875
transcript.pyannote[1728].end 24879.02909375
transcript.pyannote[1729].speaker SPEAKER_08
transcript.pyannote[1729].start 24879.36659375
transcript.pyannote[1729].end 24882.30284375
transcript.pyannote[1730].speaker SPEAKER_08
transcript.pyannote[1730].start 24882.42096875
transcript.pyannote[1730].end 24888.79971875
transcript.pyannote[1731].speaker SPEAKER_08
transcript.pyannote[1731].start 24890.38596875
transcript.pyannote[1731].end 24896.54534375
transcript.pyannote[1732].speaker SPEAKER_08
transcript.pyannote[1732].start 24897.42284375
transcript.pyannote[1732].end 24904.74659375
transcript.pyannote[1733].speaker SPEAKER_29
transcript.pyannote[1733].start 24898.46909375
transcript.pyannote[1733].end 24900.49409375
transcript.pyannote[1734].speaker SPEAKER_29
transcript.pyannote[1734].start 24904.96596875
transcript.pyannote[1734].end 24907.17659375
transcript.pyannote[1735].speaker SPEAKER_08
transcript.pyannote[1735].start 24906.13034375
transcript.pyannote[1735].end 24909.67409375
transcript.pyannote[1736].speaker SPEAKER_29
transcript.pyannote[1736].start 24908.86409375
transcript.pyannote[1736].end 24908.89784375
transcript.pyannote[1737].speaker SPEAKER_29
transcript.pyannote[1737].start 24909.06659375
transcript.pyannote[1737].end 24910.46721875
transcript.pyannote[1738].speaker SPEAKER_08
transcript.pyannote[1738].start 24911.22659375
transcript.pyannote[1738].end 24914.93909375
transcript.pyannote[1739].speaker SPEAKER_08
transcript.pyannote[1739].start 24915.44534375
transcript.pyannote[1739].end 24916.99784375
transcript.pyannote[1740].speaker SPEAKER_08
transcript.pyannote[1740].start 24917.06534375
transcript.pyannote[1740].end 24918.36471875
transcript.pyannote[1741].speaker SPEAKER_08
transcript.pyannote[1741].start 24919.44471875
transcript.pyannote[1741].end 24920.13659375
transcript.pyannote[1742].speaker SPEAKER_08
transcript.pyannote[1742].start 24920.60909375
transcript.pyannote[1742].end 24922.53284375
transcript.pyannote[1743].speaker SPEAKER_08
transcript.pyannote[1743].start 24923.12346875
transcript.pyannote[1743].end 24925.57034375
transcript.pyannote[1744].speaker SPEAKER_08
transcript.pyannote[1744].start 24925.80659375
transcript.pyannote[1744].end 24926.70096875
transcript.pyannote[1745].speaker SPEAKER_08
transcript.pyannote[1745].start 24926.85284375
transcript.pyannote[1745].end 24931.81409375
transcript.pyannote[1746].speaker SPEAKER_08
transcript.pyannote[1746].start 24932.25284375
transcript.pyannote[1746].end 24941.75346875
transcript.pyannote[1747].speaker SPEAKER_08
transcript.pyannote[1747].start 24942.05721875
transcript.pyannote[1747].end 24952.60409375
transcript.pyannote[1748].speaker SPEAKER_08
transcript.pyannote[1748].start 24953.54909375
transcript.pyannote[1748].end 24963.52221875
transcript.pyannote[1749].speaker SPEAKER_08
transcript.pyannote[1749].start 24965.20971875
transcript.pyannote[1749].end 24965.68221875
transcript.pyannote[1750].speaker SPEAKER_08
transcript.pyannote[1750].start 24966.05346875
transcript.pyannote[1750].end 24966.64409375
transcript.pyannote[1751].speaker SPEAKER_08
transcript.pyannote[1751].start 24966.94784375
transcript.pyannote[1751].end 24968.38221875
transcript.pyannote[1752].speaker SPEAKER_08
transcript.pyannote[1752].start 24969.66471875
transcript.pyannote[1752].end 24972.04409375
transcript.pyannote[1753].speaker SPEAKER_08
transcript.pyannote[1753].start 24972.90471875
transcript.pyannote[1753].end 24975.19971875
transcript.pyannote[1754].speaker SPEAKER_08
transcript.pyannote[1754].start 24975.60471875
transcript.pyannote[1754].end 24976.71846875
transcript.pyannote[1755].speaker SPEAKER_08
transcript.pyannote[1755].start 24977.22471875
transcript.pyannote[1755].end 24987.58596875
transcript.pyannote[1756].speaker SPEAKER_12
transcript.pyannote[1756].start 24989.37471875
transcript.pyannote[1756].end 24990.48846875
transcript.pyannote[1757].speaker SPEAKER_12
transcript.pyannote[1757].start 24990.87659375
transcript.pyannote[1757].end 24992.61471875
transcript.pyannote[1758].speaker SPEAKER_12
transcript.pyannote[1758].start 24992.83409375
transcript.pyannote[1758].end 24993.69471875
transcript.pyannote[1759].speaker SPEAKER_12
transcript.pyannote[1759].start 24993.89721875
transcript.pyannote[1759].end 24995.39909375
transcript.pyannote[1760].speaker SPEAKER_12
transcript.pyannote[1760].start 24995.66909375
transcript.pyannote[1760].end 24997.37346875
transcript.pyannote[1761].speaker SPEAKER_12
transcript.pyannote[1761].start 24997.57596875
transcript.pyannote[1761].end 24998.57159375
transcript.pyannote[1762].speaker SPEAKER_12
transcript.pyannote[1762].start 24998.92596875
transcript.pyannote[1762].end 25000.54596875
transcript.pyannote[1763].speaker SPEAKER_12
transcript.pyannote[1763].start 25001.01846875
transcript.pyannote[1763].end 25003.65096875
transcript.pyannote[1764].speaker SPEAKER_12
transcript.pyannote[1764].start 25003.70159375
transcript.pyannote[1764].end 25006.63784375
transcript.pyannote[1765].speaker SPEAKER_12
transcript.pyannote[1765].start 25007.00909375
transcript.pyannote[1765].end 25013.43846875
transcript.pyannote[1766].speaker SPEAKER_12
transcript.pyannote[1766].start 25014.43409375
transcript.pyannote[1766].end 25017.72471875
transcript.pyannote[1767].speaker SPEAKER_12
transcript.pyannote[1767].start 25017.84284375
transcript.pyannote[1767].end 25021.42034375
transcript.pyannote[1768].speaker SPEAKER_08
transcript.pyannote[1768].start 25021.09971875
transcript.pyannote[1768].end 25028.45721875
transcript.pyannote[1769].speaker SPEAKER_08
transcript.pyannote[1769].start 25028.96346875
transcript.pyannote[1769].end 25030.06034375
transcript.pyannote[1770].speaker SPEAKER_08
transcript.pyannote[1770].start 25030.71846875
transcript.pyannote[1770].end 25032.43971875
transcript.pyannote[1771].speaker SPEAKER_08
transcript.pyannote[1771].start 25033.95846875
transcript.pyannote[1771].end 25036.79346875
transcript.pyannote[1772].speaker SPEAKER_08
transcript.pyannote[1772].start 25037.70471875
transcript.pyannote[1772].end 25038.64971875
transcript.pyannote[1773].speaker SPEAKER_08
transcript.pyannote[1773].start 25039.17284375
transcript.pyannote[1773].end 25041.63659375
transcript.pyannote[1774].speaker SPEAKER_08
transcript.pyannote[1774].start 25042.14284375
transcript.pyannote[1774].end 25047.69471875
transcript.pyannote[1775].speaker SPEAKER_12
transcript.pyannote[1775].start 25049.36534375
transcript.pyannote[1775].end 25064.67096875
transcript.pyannote[1776].speaker SPEAKER_08
transcript.pyannote[1776].start 25064.19846875
transcript.pyannote[1776].end 25078.10346875
transcript.pyannote[1777].speaker SPEAKER_08
transcript.pyannote[1777].start 25078.84596875
transcript.pyannote[1777].end 25079.53784375
transcript.pyannote[1778].speaker SPEAKER_21
transcript.pyannote[1778].start 25079.28471875
transcript.pyannote[1778].end 25081.90034375
transcript.pyannote[1779].speaker SPEAKER_08
transcript.pyannote[1779].start 25079.67284375
transcript.pyannote[1779].end 25080.04409375
transcript.pyannote[1780].speaker SPEAKER_08
transcript.pyannote[1780].start 25080.24659375
transcript.pyannote[1780].end 25082.05221875
transcript.pyannote[1781].speaker SPEAKER_21
transcript.pyannote[1781].start 25082.25471875
transcript.pyannote[1781].end 25082.81159375
transcript.pyannote[1782].speaker SPEAKER_21
transcript.pyannote[1782].start 25082.96346875
transcript.pyannote[1782].end 25091.67096875
transcript.pyannote[1783].speaker SPEAKER_21
transcript.pyannote[1783].start 25091.85659375
transcript.pyannote[1783].end 25097.54346875
transcript.pyannote[1784].speaker SPEAKER_21
transcript.pyannote[1784].start 25097.96534375
transcript.pyannote[1784].end 25103.75346875
transcript.pyannote[1785].speaker SPEAKER_21
transcript.pyannote[1785].start 25104.10784375
transcript.pyannote[1785].end 25107.92159375
transcript.pyannote[1786].speaker SPEAKER_21
transcript.pyannote[1786].start 25108.20846875
transcript.pyannote[1786].end 25124.89784375
transcript.pyannote[1787].speaker SPEAKER_08
transcript.pyannote[1787].start 25122.70409375
transcript.pyannote[1787].end 25123.63221875
transcript.pyannote[1788].speaker SPEAKER_08
transcript.pyannote[1788].start 25124.66159375
transcript.pyannote[1788].end 25128.22221875
transcript.pyannote[1789].speaker SPEAKER_21
transcript.pyannote[1789].start 25128.94784375
transcript.pyannote[1789].end 25130.44971875
transcript.pyannote[1790].speaker SPEAKER_08
transcript.pyannote[1790].start 25128.98159375
transcript.pyannote[1790].end 25134.19596875
transcript.pyannote[1791].speaker SPEAKER_08
transcript.pyannote[1791].start 25134.56721875
transcript.pyannote[1791].end 25137.46971875
transcript.pyannote[1792].speaker SPEAKER_08
transcript.pyannote[1792].start 25137.94221875
transcript.pyannote[1792].end 25139.81534375
transcript.pyannote[1793].speaker SPEAKER_21
transcript.pyannote[1793].start 25139.81534375
transcript.pyannote[1793].end 25151.10471875
transcript.pyannote[1794].speaker SPEAKER_21
transcript.pyannote[1794].start 25151.34096875
transcript.pyannote[1794].end 25161.51659375
transcript.pyannote[1795].speaker SPEAKER_15
transcript.pyannote[1795].start 25154.37846875
transcript.pyannote[1795].end 25154.42909375
transcript.pyannote[1796].speaker SPEAKER_08
transcript.pyannote[1796].start 25154.42909375
transcript.pyannote[1796].end 25154.69909375
transcript.pyannote[1797].speaker SPEAKER_15
transcript.pyannote[1797].start 25154.69909375
transcript.pyannote[1797].end 25154.73284375
transcript.pyannote[1798].speaker SPEAKER_08
transcript.pyannote[1798].start 25154.96909375
transcript.pyannote[1798].end 25155.39096875
transcript.pyannote[1799].speaker SPEAKER_08
transcript.pyannote[1799].start 25158.36096875
transcript.pyannote[1799].end 25170.54471875
transcript.pyannote[1800].speaker SPEAKER_29
transcript.pyannote[1800].start 25168.67159375
transcript.pyannote[1800].end 25168.97534375
transcript.pyannote[1801].speaker SPEAKER_29
transcript.pyannote[1801].start 25170.69659375
transcript.pyannote[1801].end 25171.27034375
transcript.pyannote[1802].speaker SPEAKER_29
transcript.pyannote[1802].start 25171.30409375
transcript.pyannote[1802].end 25172.43471875
transcript.pyannote[1803].speaker SPEAKER_08
transcript.pyannote[1803].start 25173.04221875
transcript.pyannote[1803].end 25173.88596875
transcript.pyannote[1804].speaker SPEAKER_08
transcript.pyannote[1804].start 25179.35346875
transcript.pyannote[1804].end 25179.92721875
transcript.pyannote[1805].speaker SPEAKER_08
transcript.pyannote[1805].start 25180.12971875
transcript.pyannote[1805].end 25180.66971875
transcript.pyannote[1806].speaker SPEAKER_08
transcript.pyannote[1806].start 25180.87221875
transcript.pyannote[1806].end 25182.98159375
transcript.pyannote[1807].speaker SPEAKER_08
transcript.pyannote[1807].start 25183.62284375
transcript.pyannote[1807].end 25189.51221875
transcript.pyannote[1808].speaker SPEAKER_08
transcript.pyannote[1808].start 25190.06909375
transcript.pyannote[1808].end 25192.38096875
transcript.pyannote[1809].speaker SPEAKER_08
transcript.pyannote[1809].start 25193.10659375
transcript.pyannote[1809].end 25198.42221875
transcript.pyannote[1810].speaker SPEAKER_08
transcript.pyannote[1810].start 25198.92846875
transcript.pyannote[1810].end 25202.10096875
transcript.pyannote[1811].speaker SPEAKER_08
transcript.pyannote[1811].start 25203.51846875
transcript.pyannote[1811].end 25211.31471875
transcript.pyannote[1812].speaker SPEAKER_08
transcript.pyannote[1812].start 25212.22596875
transcript.pyannote[1812].end 25215.56721875
transcript.pyannote[1813].speaker SPEAKER_08
transcript.pyannote[1813].start 25215.92159375
transcript.pyannote[1813].end 25218.43596875
transcript.pyannote[1814].speaker SPEAKER_08
transcript.pyannote[1814].start 25218.84096875
transcript.pyannote[1814].end 25220.56221875
transcript.pyannote[1815].speaker SPEAKER_08
transcript.pyannote[1815].start 25221.16971875
transcript.pyannote[1815].end 25230.29909375
transcript.pyannote[1816].speaker SPEAKER_08
transcript.pyannote[1816].start 25230.73784375
transcript.pyannote[1816].end 25232.67846875
transcript.pyannote[1817].speaker SPEAKER_08
transcript.pyannote[1817].start 25233.16784375
transcript.pyannote[1817].end 25235.86784375
transcript.pyannote[1818].speaker SPEAKER_08
transcript.pyannote[1818].start 25236.44159375
transcript.pyannote[1818].end 25236.81284375
transcript.pyannote[1819].speaker SPEAKER_08
transcript.pyannote[1819].start 25237.35284375
transcript.pyannote[1819].end 25238.53409375
transcript.pyannote[1820].speaker SPEAKER_08
transcript.pyannote[1820].start 25239.10784375
transcript.pyannote[1820].end 25244.52471875
transcript.pyannote[1821].speaker SPEAKER_08
transcript.pyannote[1821].start 25244.87909375
transcript.pyannote[1821].end 25246.39784375
transcript.pyannote[1822].speaker SPEAKER_08
transcript.pyannote[1822].start 25246.78596875
transcript.pyannote[1822].end 25249.13159375
transcript.pyannote[1823].speaker SPEAKER_08
transcript.pyannote[1823].start 25249.30034375
transcript.pyannote[1823].end 25255.67909375
transcript.pyannote[1824].speaker SPEAKER_10
transcript.pyannote[1824].start 25256.42159375
transcript.pyannote[1824].end 25265.70284375
transcript.pyannote[1825].speaker SPEAKER_10
transcript.pyannote[1825].start 25265.83784375
transcript.pyannote[1825].end 25269.46596875
transcript.pyannote[1826].speaker SPEAKER_10
transcript.pyannote[1826].start 25270.42784375
transcript.pyannote[1826].end 25274.17409375
transcript.pyannote[1827].speaker SPEAKER_10
transcript.pyannote[1827].start 25274.46096875
transcript.pyannote[1827].end 25279.25346875
transcript.pyannote[1828].speaker SPEAKER_10
transcript.pyannote[1828].start 25279.48971875
transcript.pyannote[1828].end 25281.43034375
transcript.pyannote[1829].speaker SPEAKER_10
transcript.pyannote[1829].start 25281.61596875
transcript.pyannote[1829].end 25302.22034375
transcript.pyannote[1830].speaker SPEAKER_08
transcript.pyannote[1830].start 25301.34284375
transcript.pyannote[1830].end 25303.77284375
transcript.pyannote[1831].speaker SPEAKER_10
transcript.pyannote[1831].start 25303.33409375
transcript.pyannote[1831].end 25308.02534375
transcript.pyannote[1832].speaker SPEAKER_08
transcript.pyannote[1832].start 25308.14346875
transcript.pyannote[1832].end 25311.06284375
transcript.pyannote[1833].speaker SPEAKER_10
transcript.pyannote[1833].start 25309.57784375
transcript.pyannote[1833].end 25311.11346875
transcript.pyannote[1834].speaker SPEAKER_08
transcript.pyannote[1834].start 25311.80534375
transcript.pyannote[1834].end 25313.40846875
transcript.pyannote[1835].speaker SPEAKER_08
transcript.pyannote[1835].start 25313.67846875
transcript.pyannote[1835].end 25316.68221875
transcript.pyannote[1836].speaker SPEAKER_29
transcript.pyannote[1836].start 25317.32346875
transcript.pyannote[1836].end 25318.75784375
transcript.pyannote[1837].speaker SPEAKER_08
transcript.pyannote[1837].start 25319.34846875
transcript.pyannote[1837].end 25319.85471875
transcript.pyannote[1838].speaker SPEAKER_08
transcript.pyannote[1838].start 25320.46221875
transcript.pyannote[1838].end 25321.03596875
transcript.pyannote[1839].speaker SPEAKER_08
transcript.pyannote[1839].start 25321.79534375
transcript.pyannote[1839].end 25323.92159375
transcript.pyannote[1840].speaker SPEAKER_08
transcript.pyannote[1840].start 25324.74846875
transcript.pyannote[1840].end 25326.99284375
transcript.pyannote[1841].speaker SPEAKER_08
transcript.pyannote[1841].start 25327.54971875
transcript.pyannote[1841].end 25328.15721875
transcript.pyannote[1842].speaker SPEAKER_08
transcript.pyannote[1842].start 25328.32596875
transcript.pyannote[1842].end 25333.32096875
transcript.pyannote[1843].speaker SPEAKER_08
transcript.pyannote[1843].start 25334.09721875
transcript.pyannote[1843].end 25338.55221875
transcript.pyannote[1844].speaker SPEAKER_08
transcript.pyannote[1844].start 25338.61971875
transcript.pyannote[1844].end 25342.73721875
transcript.pyannote[1845].speaker SPEAKER_08
transcript.pyannote[1845].start 25343.07471875
transcript.pyannote[1845].end 25345.75784375
transcript.pyannote[1846].speaker SPEAKER_08
transcript.pyannote[1846].start 25346.09534375
transcript.pyannote[1846].end 25346.78721875
transcript.pyannote[1847].speaker SPEAKER_08
transcript.pyannote[1847].start 25347.29346875
transcript.pyannote[1847].end 25351.68096875
transcript.pyannote[1848].speaker SPEAKER_08
transcript.pyannote[1848].start 25351.93409375
transcript.pyannote[1848].end 25356.03471875
transcript.pyannote[1849].speaker SPEAKER_04
transcript.pyannote[1849].start 25356.03471875
transcript.pyannote[1849].end 25360.64159375
transcript.pyannote[1850].speaker SPEAKER_08
transcript.pyannote[1850].start 25356.23721875
transcript.pyannote[1850].end 25356.57471875
transcript.pyannote[1851].speaker SPEAKER_08
transcript.pyannote[1851].start 25361.33346875
transcript.pyannote[1851].end 25368.04971875
transcript.pyannote[1852].speaker SPEAKER_08
transcript.pyannote[1852].start 25368.65721875
transcript.pyannote[1852].end 25369.24784375
transcript.pyannote[1853].speaker SPEAKER_08
transcript.pyannote[1853].start 25371.08721875
transcript.pyannote[1853].end 25371.12096875
transcript.pyannote[1854].speaker SPEAKER_15
transcript.pyannote[1854].start 25371.12096875
transcript.pyannote[1854].end 25377.38159375
transcript.pyannote[1855].speaker SPEAKER_08
transcript.pyannote[1855].start 25373.88846875
transcript.pyannote[1855].end 25375.33971875
transcript.pyannote[1856].speaker SPEAKER_08
transcript.pyannote[1856].start 25375.54221875
transcript.pyannote[1856].end 25376.72346875
transcript.pyannote[1857].speaker SPEAKER_08
transcript.pyannote[1857].start 25377.38159375
transcript.pyannote[1857].end 25387.15221875
transcript.pyannote[1858].speaker SPEAKER_15
transcript.pyannote[1858].start 25380.14909375
transcript.pyannote[1858].end 25380.97596875
transcript.pyannote[1859].speaker SPEAKER_00
transcript.pyannote[1859].start 25380.97596875
transcript.pyannote[1859].end 25381.06034375
transcript.pyannote[1860].speaker SPEAKER_08
transcript.pyannote[1860].start 25387.32096875
transcript.pyannote[1860].end 25389.49784375
transcript.pyannote[1861].speaker SPEAKER_29
transcript.pyannote[1861].start 25388.58659375
transcript.pyannote[1861].end 25390.18971875
transcript.pyannote[1862].speaker SPEAKER_29
transcript.pyannote[1862].start 25391.37096875
transcript.pyannote[1862].end 25401.39471875
transcript.pyannote[1863].speaker SPEAKER_29
transcript.pyannote[1863].start 26038.24034375
transcript.pyannote[1863].end 26042.96534375
transcript.pyannote[1864].speaker SPEAKER_19
transcript.pyannote[1864].start 26050.47471875
transcript.pyannote[1864].end 26051.04846875
transcript.pyannote[1865].speaker SPEAKER_19
transcript.pyannote[1865].start 26051.57159375
transcript.pyannote[1865].end 26052.68534375
transcript.pyannote[1866].speaker SPEAKER_19
transcript.pyannote[1866].start 26053.10721875
transcript.pyannote[1866].end 26054.05221875
transcript.pyannote[1867].speaker SPEAKER_19
transcript.pyannote[1867].start 26054.52471875
transcript.pyannote[1867].end 26056.14471875
transcript.pyannote[1868].speaker SPEAKER_19
transcript.pyannote[1868].start 26056.41471875
transcript.pyannote[1868].end 26057.93346875
transcript.pyannote[1869].speaker SPEAKER_29
transcript.pyannote[1869].start 26058.38909375
transcript.pyannote[1869].end 26060.34659375
transcript.pyannote[1870].speaker SPEAKER_19
transcript.pyannote[1870].start 26070.23534375
transcript.pyannote[1870].end 26070.82596875
transcript.pyannote[1871].speaker SPEAKER_19
transcript.pyannote[1871].start 26071.43346875
transcript.pyannote[1871].end 26072.34471875
transcript.pyannote[1872].speaker SPEAKER_19
transcript.pyannote[1872].start 26073.27284375
transcript.pyannote[1872].end 26077.03596875
transcript.pyannote[1873].speaker SPEAKER_19
transcript.pyannote[1873].start 26077.59284375
transcript.pyannote[1873].end 26081.57534375
transcript.pyannote[1874].speaker SPEAKER_19
transcript.pyannote[1874].start 26081.89596875
transcript.pyannote[1874].end 26087.16096875
transcript.pyannote[1875].speaker SPEAKER_19
transcript.pyannote[1875].start 26087.71784375
transcript.pyannote[1875].end 26088.98346875
transcript.pyannote[1876].speaker SPEAKER_19
transcript.pyannote[1876].start 26089.23659375
transcript.pyannote[1876].end 26090.94096875
transcript.pyannote[1877].speaker SPEAKER_19
transcript.pyannote[1877].start 26091.37971875
transcript.pyannote[1877].end 26097.38721875
transcript.pyannote[1878].speaker SPEAKER_19
transcript.pyannote[1878].start 26097.89346875
transcript.pyannote[1878].end 26105.60534375
transcript.pyannote[1879].speaker SPEAKER_19
transcript.pyannote[1879].start 26105.95971875
transcript.pyannote[1879].end 26115.66284375
transcript.pyannote[1880].speaker SPEAKER_19
transcript.pyannote[1880].start 26116.10159375
transcript.pyannote[1880].end 26117.85659375
transcript.pyannote[1881].speaker SPEAKER_19
transcript.pyannote[1881].start 26118.36284375
transcript.pyannote[1881].end 26131.32284375
transcript.pyannote[1882].speaker SPEAKER_19
transcript.pyannote[1882].start 26131.71096875
transcript.pyannote[1882].end 26135.08596875
transcript.pyannote[1883].speaker SPEAKER_19
transcript.pyannote[1883].start 26135.52471875
transcript.pyannote[1883].end 26137.29659375
transcript.pyannote[1884].speaker SPEAKER_19
transcript.pyannote[1884].start 26137.83659375
transcript.pyannote[1884].end 26138.54534375
transcript.pyannote[1885].speaker SPEAKER_19
transcript.pyannote[1885].start 26138.68034375
transcript.pyannote[1885].end 26139.87846875
transcript.pyannote[1886].speaker SPEAKER_19
transcript.pyannote[1886].start 26140.40159375
transcript.pyannote[1886].end 26144.78909375
transcript.pyannote[1887].speaker SPEAKER_19
transcript.pyannote[1887].start 26145.17721875
transcript.pyannote[1887].end 26150.03721875
transcript.pyannote[1888].speaker SPEAKER_19
transcript.pyannote[1888].start 26150.47596875
transcript.pyannote[1888].end 26150.83034375
transcript.pyannote[1889].speaker SPEAKER_19
transcript.pyannote[1889].start 26150.98221875
transcript.pyannote[1889].end 26152.83846875
transcript.pyannote[1890].speaker SPEAKER_19
transcript.pyannote[1890].start 26153.15909375
transcript.pyannote[1890].end 26153.80034375
transcript.pyannote[1891].speaker SPEAKER_19
transcript.pyannote[1891].start 26154.00284375
transcript.pyannote[1891].end 26154.91409375
transcript.pyannote[1892].speaker SPEAKER_19
transcript.pyannote[1892].start 26155.38659375
transcript.pyannote[1892].end 26158.30596875
transcript.pyannote[1893].speaker SPEAKER_19
transcript.pyannote[1893].start 26158.60971875
transcript.pyannote[1893].end 26162.01846875
transcript.pyannote[1894].speaker SPEAKER_19
transcript.pyannote[1894].start 26162.45721875
transcript.pyannote[1894].end 26163.16596875
transcript.pyannote[1895].speaker SPEAKER_19
transcript.pyannote[1895].start 26163.48659375
transcript.pyannote[1895].end 26165.34284375
transcript.pyannote[1896].speaker SPEAKER_19
transcript.pyannote[1896].start 26165.52846875
transcript.pyannote[1896].end 26168.90346875
transcript.pyannote[1897].speaker SPEAKER_19
transcript.pyannote[1897].start 26169.19034375
transcript.pyannote[1897].end 26169.71346875
transcript.pyannote[1898].speaker SPEAKER_19
transcript.pyannote[1898].start 26170.38846875
transcript.pyannote[1898].end 26173.79721875
transcript.pyannote[1899].speaker SPEAKER_19
transcript.pyannote[1899].start 26174.10096875
transcript.pyannote[1899].end 26176.48034375
transcript.pyannote[1900].speaker SPEAKER_19
transcript.pyannote[1900].start 26176.91909375
transcript.pyannote[1900].end 26177.40846875
transcript.pyannote[1901].speaker SPEAKER_19
transcript.pyannote[1901].start 26177.81346875
transcript.pyannote[1901].end 26185.05284375
transcript.pyannote[1902].speaker SPEAKER_19
transcript.pyannote[1902].start 26185.17096875
transcript.pyannote[1902].end 26186.31846875
transcript.pyannote[1903].speaker SPEAKER_19
transcript.pyannote[1903].start 26186.89221875
transcript.pyannote[1903].end 26188.32659375
transcript.pyannote[1904].speaker SPEAKER_19
transcript.pyannote[1904].start 26188.71471875
transcript.pyannote[1904].end 26193.05159375
transcript.pyannote[1905].speaker SPEAKER_19
transcript.pyannote[1905].start 26193.70971875
transcript.pyannote[1905].end 26194.72221875
transcript.pyannote[1906].speaker SPEAKER_19
transcript.pyannote[1906].start 26195.24534375
transcript.pyannote[1906].end 26196.35909375
transcript.pyannote[1907].speaker SPEAKER_19
transcript.pyannote[1907].start 26196.42659375
transcript.pyannote[1907].end 26197.30409375
transcript.pyannote[1908].speaker SPEAKER_19
transcript.pyannote[1908].start 26197.79346875
transcript.pyannote[1908].end 26201.35409375
transcript.pyannote[1909].speaker SPEAKER_19
transcript.pyannote[1909].start 26201.84346875
transcript.pyannote[1909].end 26206.51784375
transcript.pyannote[1910].speaker SPEAKER_19
transcript.pyannote[1910].start 26206.82159375
transcript.pyannote[1910].end 26212.89659375
transcript.pyannote[1911].speaker SPEAKER_19
transcript.pyannote[1911].start 26213.23409375
transcript.pyannote[1911].end 26215.95096875
transcript.pyannote[1912].speaker SPEAKER_19
transcript.pyannote[1912].start 26216.32221875
transcript.pyannote[1912].end 26220.16971875
transcript.pyannote[1913].speaker SPEAKER_19
transcript.pyannote[1913].start 26220.97971875
transcript.pyannote[1913].end 26221.36784375
transcript.pyannote[1914].speaker SPEAKER_19
transcript.pyannote[1914].start 26222.31284375
transcript.pyannote[1914].end 26223.03846875
transcript.pyannote[1915].speaker SPEAKER_19
transcript.pyannote[1915].start 26223.34221875
transcript.pyannote[1915].end 26229.55221875
transcript.pyannote[1916].speaker SPEAKER_19
transcript.pyannote[1916].start 26230.04159375
transcript.pyannote[1916].end 26234.04096875
transcript.pyannote[1917].speaker SPEAKER_19
transcript.pyannote[1917].start 26234.09159375
transcript.pyannote[1917].end 26235.25596875
transcript.pyannote[1918].speaker SPEAKER_19
transcript.pyannote[1918].start 26235.49221875
transcript.pyannote[1918].end 26237.11221875
transcript.pyannote[1919].speaker SPEAKER_19
transcript.pyannote[1919].start 26237.87159375
transcript.pyannote[1919].end 26240.28471875
transcript.pyannote[1920].speaker SPEAKER_19
transcript.pyannote[1920].start 26240.43659375
transcript.pyannote[1920].end 26241.36471875
transcript.pyannote[1921].speaker SPEAKER_15
transcript.pyannote[1921].start 26241.36471875
transcript.pyannote[1921].end 26241.39846875
transcript.pyannote[1922].speaker SPEAKER_19
transcript.pyannote[1922].start 26241.39846875
transcript.pyannote[1922].end 26241.41534375
transcript.pyannote[1923].speaker SPEAKER_15
transcript.pyannote[1923].start 26241.41534375
transcript.pyannote[1923].end 26242.61346875
transcript.pyannote[1924].speaker SPEAKER_04
transcript.pyannote[1924].start 26242.12409375
transcript.pyannote[1924].end 26242.17471875
transcript.pyannote[1925].speaker SPEAKER_19
transcript.pyannote[1925].start 26242.17471875
transcript.pyannote[1925].end 26242.29284375
transcript.pyannote[1926].speaker SPEAKER_04
transcript.pyannote[1926].start 26242.29284375
transcript.pyannote[1926].end 26242.51221875
transcript.pyannote[1927].speaker SPEAKER_04
transcript.pyannote[1927].start 26242.61346875
transcript.pyannote[1927].end 26242.73159375
transcript.pyannote[1928].speaker SPEAKER_15
transcript.pyannote[1928].start 26242.73159375
transcript.pyannote[1928].end 26243.03534375
transcript.pyannote[1929].speaker SPEAKER_04
transcript.pyannote[1929].start 26242.86659375
transcript.pyannote[1929].end 26242.90034375
transcript.pyannote[1930].speaker SPEAKER_19
transcript.pyannote[1930].start 26242.90034375
transcript.pyannote[1930].end 26243.42346875
transcript.pyannote[1931].speaker SPEAKER_04
transcript.pyannote[1931].start 26243.03534375
transcript.pyannote[1931].end 26269.05659375
transcript.pyannote[1932].speaker SPEAKER_15
transcript.pyannote[1932].start 26243.42346875
transcript.pyannote[1932].end 26243.49096875
transcript.pyannote[1933].speaker SPEAKER_15
transcript.pyannote[1933].start 26244.94221875
transcript.pyannote[1933].end 26245.06034375
transcript.pyannote[1934].speaker SPEAKER_15
transcript.pyannote[1934].start 26249.98784375
transcript.pyannote[1934].end 26250.00471875
transcript.pyannote[1935].speaker SPEAKER_19
transcript.pyannote[1935].start 26250.00471875
transcript.pyannote[1935].end 26250.30846875
transcript.pyannote[1936].speaker SPEAKER_15
transcript.pyannote[1936].start 26250.30846875
transcript.pyannote[1936].end 26250.32534375
transcript.pyannote[1937].speaker SPEAKER_19
transcript.pyannote[1937].start 26250.32534375
transcript.pyannote[1937].end 26250.34221875
transcript.pyannote[1938].speaker SPEAKER_19
transcript.pyannote[1938].start 26260.23096875
transcript.pyannote[1938].end 26260.41659375
transcript.pyannote[1939].speaker SPEAKER_19
transcript.pyannote[1939].start 26268.60096875
transcript.pyannote[1939].end 26277.20721875
transcript.pyannote[1940].speaker SPEAKER_04
transcript.pyannote[1940].start 26276.38034375
transcript.pyannote[1940].end 26276.97096875
transcript.pyannote[1941].speaker SPEAKER_19
transcript.pyannote[1941].start 26277.51096875
transcript.pyannote[1941].end 26281.34159375
transcript.pyannote[1942].speaker SPEAKER_19
transcript.pyannote[1942].start 26281.44284375
transcript.pyannote[1942].end 26292.81659375
transcript.pyannote[1943].speaker SPEAKER_19
transcript.pyannote[1943].start 26293.20471875
transcript.pyannote[1943].end 26299.65096875
transcript.pyannote[1944].speaker SPEAKER_19
transcript.pyannote[1944].start 26299.97159375
transcript.pyannote[1944].end 26300.86596875
transcript.pyannote[1945].speaker SPEAKER_19
transcript.pyannote[1945].start 26301.01784375
transcript.pyannote[1945].end 26306.46846875
transcript.pyannote[1946].speaker SPEAKER_19
transcript.pyannote[1946].start 26306.53596875
transcript.pyannote[1946].end 26310.14721875
transcript.pyannote[1947].speaker SPEAKER_19
transcript.pyannote[1947].start 26310.46784375
transcript.pyannote[1947].end 26312.89784375
transcript.pyannote[1948].speaker SPEAKER_19
transcript.pyannote[1948].start 26313.28596875
transcript.pyannote[1948].end 26316.52596875
transcript.pyannote[1949].speaker SPEAKER_19
transcript.pyannote[1949].start 26317.04909375
transcript.pyannote[1949].end 26321.38596875
transcript.pyannote[1950].speaker SPEAKER_19
transcript.pyannote[1950].start 26321.79096875
transcript.pyannote[1950].end 26327.24159375
transcript.pyannote[1951].speaker SPEAKER_19
transcript.pyannote[1951].start 26327.71409375
transcript.pyannote[1951].end 26331.49409375
transcript.pyannote[1952].speaker SPEAKER_19
transcript.pyannote[1952].start 26331.96659375
transcript.pyannote[1952].end 26337.29909375
transcript.pyannote[1953].speaker SPEAKER_19
transcript.pyannote[1953].start 26337.72096875
transcript.pyannote[1953].end 26343.74534375
transcript.pyannote[1954].speaker SPEAKER_19
transcript.pyannote[1954].start 26343.93096875
transcript.pyannote[1954].end 26349.97221875
transcript.pyannote[1955].speaker SPEAKER_04
transcript.pyannote[1955].start 26348.62221875
transcript.pyannote[1955].end 26392.75034375
transcript.pyannote[1956].speaker SPEAKER_19
transcript.pyannote[1956].start 26351.76096875
transcript.pyannote[1956].end 26353.68471875
transcript.pyannote[1957].speaker SPEAKER_22
transcript.pyannote[1957].start 26353.68471875
transcript.pyannote[1957].end 26353.81971875
transcript.pyannote[1958].speaker SPEAKER_19
transcript.pyannote[1958].start 26393.10471875
transcript.pyannote[1958].end 26394.52221875
transcript.pyannote[1959].speaker SPEAKER_19
transcript.pyannote[1959].start 26394.87659375
transcript.pyannote[1959].end 26399.11221875
transcript.pyannote[1960].speaker SPEAKER_19
transcript.pyannote[1960].start 26399.34846875
transcript.pyannote[1960].end 26405.25471875
transcript.pyannote[1961].speaker SPEAKER_19
transcript.pyannote[1961].start 26405.45721875
transcript.pyannote[1961].end 26408.44409375
transcript.pyannote[1962].speaker SPEAKER_19
transcript.pyannote[1962].start 26408.68034375
transcript.pyannote[1962].end 26417.62409375
transcript.pyannote[1963].speaker SPEAKER_19
transcript.pyannote[1963].start 26417.89409375
transcript.pyannote[1963].end 26424.07034375
transcript.pyannote[1964].speaker SPEAKER_19
transcript.pyannote[1964].start 26424.54284375
transcript.pyannote[1964].end 26430.85409375
transcript.pyannote[1965].speaker SPEAKER_19
transcript.pyannote[1965].start 26431.34346875
transcript.pyannote[1965].end 26434.85346875
transcript.pyannote[1966].speaker SPEAKER_19
transcript.pyannote[1966].start 26435.59596875
transcript.pyannote[1966].end 26442.48096875
transcript.pyannote[1967].speaker SPEAKER_29
transcript.pyannote[1967].start 26442.17721875
transcript.pyannote[1967].end 26443.83096875
transcript.pyannote[1968].speaker SPEAKER_19
transcript.pyannote[1968].start 26451.72846875
transcript.pyannote[1968].end 26453.29784375
transcript.pyannote[1969].speaker SPEAKER_19
transcript.pyannote[1969].start 26453.48346875
transcript.pyannote[1969].end 26458.42784375
transcript.pyannote[1970].speaker SPEAKER_19
transcript.pyannote[1970].start 26459.44034375
transcript.pyannote[1970].end 26460.06471875
transcript.pyannote[1971].speaker SPEAKER_19
transcript.pyannote[1971].start 26460.23346875
transcript.pyannote[1971].end 26462.62971875
transcript.pyannote[1972].speaker SPEAKER_19
transcript.pyannote[1972].start 26462.96721875
transcript.pyannote[1972].end 26470.54409375
transcript.pyannote[1973].speaker SPEAKER_19
transcript.pyannote[1973].start 26471.08409375
transcript.pyannote[1973].end 26473.91909375
transcript.pyannote[1974].speaker SPEAKER_19
transcript.pyannote[1974].start 26474.17221875
transcript.pyannote[1974].end 26477.73284375
transcript.pyannote[1975].speaker SPEAKER_19
transcript.pyannote[1975].start 26478.07034375
transcript.pyannote[1975].end 26483.38596875
transcript.pyannote[1976].speaker SPEAKER_19
transcript.pyannote[1976].start 26483.87534375
transcript.pyannote[1976].end 26491.16534375
transcript.pyannote[1977].speaker SPEAKER_19
transcript.pyannote[1977].start 26491.67159375
transcript.pyannote[1977].end 26496.98721875
transcript.pyannote[1978].speaker SPEAKER_19
transcript.pyannote[1978].start 26497.39221875
transcript.pyannote[1978].end 26499.34971875
transcript.pyannote[1979].speaker SPEAKER_19
transcript.pyannote[1979].start 26500.49721875
transcript.pyannote[1979].end 26503.87221875
transcript.pyannote[1980].speaker SPEAKER_19
transcript.pyannote[1980].start 26504.10846875
transcript.pyannote[1980].end 26505.49221875
transcript.pyannote[1981].speaker SPEAKER_19
transcript.pyannote[1981].start 26505.61034375
transcript.pyannote[1981].end 26507.56784375
transcript.pyannote[1982].speaker SPEAKER_19
transcript.pyannote[1982].start 26507.71971875
transcript.pyannote[1982].end 26509.49159375
transcript.pyannote[1983].speaker SPEAKER_19
transcript.pyannote[1983].start 26509.99784375
transcript.pyannote[1983].end 26520.67971875
transcript.pyannote[1984].speaker SPEAKER_19
transcript.pyannote[1984].start 26520.81471875
transcript.pyannote[1984].end 26523.09284375
transcript.pyannote[1985].speaker SPEAKER_19
transcript.pyannote[1985].start 26523.41346875
transcript.pyannote[1985].end 26524.15596875
transcript.pyannote[1986].speaker SPEAKER_19
transcript.pyannote[1986].start 26524.34159375
transcript.pyannote[1986].end 26525.89409375
transcript.pyannote[1987].speaker SPEAKER_19
transcript.pyannote[1987].start 26526.31596875
transcript.pyannote[1987].end 26527.24409375
transcript.pyannote[1988].speaker SPEAKER_19
transcript.pyannote[1988].start 26527.41284375
transcript.pyannote[1988].end 26528.81346875
transcript.pyannote[1989].speaker SPEAKER_19
transcript.pyannote[1989].start 26529.18471875
transcript.pyannote[1989].end 26532.98159375
transcript.pyannote[1990].speaker SPEAKER_19
transcript.pyannote[1990].start 26533.35284375
transcript.pyannote[1990].end 26539.42784375
transcript.pyannote[1991].speaker SPEAKER_19
transcript.pyannote[1991].start 26539.96784375
transcript.pyannote[1991].end 26545.58721875
transcript.pyannote[1992].speaker SPEAKER_19
transcript.pyannote[1992].start 26546.39721875
transcript.pyannote[1992].end 26548.87784375
transcript.pyannote[1993].speaker SPEAKER_19
transcript.pyannote[1993].start 26549.18159375
transcript.pyannote[1993].end 26550.04221875
transcript.pyannote[1994].speaker SPEAKER_19
transcript.pyannote[1994].start 26550.07596875
transcript.pyannote[1994].end 26552.37096875
transcript.pyannote[1995].speaker SPEAKER_19
transcript.pyannote[1995].start 26552.79284375
transcript.pyannote[1995].end 26556.52221875
transcript.pyannote[1996].speaker SPEAKER_19
transcript.pyannote[1996].start 26556.79221875
transcript.pyannote[1996].end 26557.85534375
transcript.pyannote[1997].speaker SPEAKER_19
transcript.pyannote[1997].start 26558.42909375
transcript.pyannote[1997].end 26559.98159375
transcript.pyannote[1998].speaker SPEAKER_19
transcript.pyannote[1998].start 26560.28534375
transcript.pyannote[1998].end 26562.63096875
transcript.pyannote[1999].speaker SPEAKER_19
transcript.pyannote[1999].start 26562.91784375
transcript.pyannote[1999].end 26567.44034375
transcript.pyannote[2000].speaker SPEAKER_19
transcript.pyannote[2000].start 26567.52471875
transcript.pyannote[2000].end 26569.58346875
transcript.pyannote[2001].speaker SPEAKER_19
transcript.pyannote[2001].start 26570.19096875
transcript.pyannote[2001].end 26572.50284375
transcript.pyannote[2002].speaker SPEAKER_19
transcript.pyannote[2002].start 26572.99221875
transcript.pyannote[2002].end 26573.98784375
transcript.pyannote[2003].speaker SPEAKER_19
transcript.pyannote[2003].start 26574.27471875
transcript.pyannote[2003].end 26575.47284375
transcript.pyannote[2004].speaker SPEAKER_19
transcript.pyannote[2004].start 26575.89471875
transcript.pyannote[2004].end 26579.25284375
transcript.pyannote[2005].speaker SPEAKER_19
transcript.pyannote[2005].start 26579.60721875
transcript.pyannote[2005].end 26588.28096875
transcript.pyannote[2006].speaker SPEAKER_19
transcript.pyannote[2006].start 26588.71971875
transcript.pyannote[2006].end 26591.01471875
transcript.pyannote[2007].speaker SPEAKER_19
transcript.pyannote[2007].start 26591.75721875
transcript.pyannote[2007].end 26597.84909375
transcript.pyannote[2008].speaker SPEAKER_19
transcript.pyannote[2008].start 26598.38909375
transcript.pyannote[2008].end 26600.46471875
transcript.pyannote[2009].speaker SPEAKER_19
transcript.pyannote[2009].start 26601.03846875
transcript.pyannote[2009].end 26601.69659375
transcript.pyannote[2010].speaker SPEAKER_19
transcript.pyannote[2010].start 26601.74721875
transcript.pyannote[2010].end 26604.95346875
transcript.pyannote[2011].speaker SPEAKER_19
transcript.pyannote[2011].start 26605.12221875
transcript.pyannote[2011].end 26606.79284375
transcript.pyannote[2012].speaker SPEAKER_19
transcript.pyannote[2012].start 26607.07971875
transcript.pyannote[2012].end 26608.80096875
transcript.pyannote[2013].speaker SPEAKER_19
transcript.pyannote[2013].start 26609.23971875
transcript.pyannote[2013].end 26610.62346875
transcript.pyannote[2014].speaker SPEAKER_19
transcript.pyannote[2014].start 26611.07909375
transcript.pyannote[2014].end 26612.29409375
transcript.pyannote[2015].speaker SPEAKER_19
transcript.pyannote[2015].start 26612.80034375
transcript.pyannote[2015].end 26615.36534375
transcript.pyannote[2016].speaker SPEAKER_19
transcript.pyannote[2016].start 26615.78721875
transcript.pyannote[2016].end 26616.81659375
transcript.pyannote[2017].speaker SPEAKER_19
transcript.pyannote[2017].start 26617.28909375
transcript.pyannote[2017].end 26618.99346875
transcript.pyannote[2018].speaker SPEAKER_19
transcript.pyannote[2018].start 26619.24659375
transcript.pyannote[2018].end 26624.89971875
transcript.pyannote[2019].speaker SPEAKER_19
transcript.pyannote[2019].start 26625.10221875
transcript.pyannote[2019].end 26627.49846875
transcript.pyannote[2020].speaker SPEAKER_19
transcript.pyannote[2020].start 26628.03846875
transcript.pyannote[2020].end 26632.84784375
transcript.pyannote[2021].speaker SPEAKER_19
transcript.pyannote[2021].start 26633.28659375
transcript.pyannote[2021].end 26637.60659375
transcript.pyannote[2022].speaker SPEAKER_19
transcript.pyannote[2022].start 26637.96096875
transcript.pyannote[2022].end 26640.81284375
transcript.pyannote[2023].speaker SPEAKER_19
transcript.pyannote[2023].start 26640.98159375
transcript.pyannote[2023].end 26644.10346875
transcript.pyannote[2024].speaker SPEAKER_19
transcript.pyannote[2024].start 26644.37346875
transcript.pyannote[2024].end 26646.70221875
transcript.pyannote[2025].speaker SPEAKER_19
transcript.pyannote[2025].start 26647.12409375
transcript.pyannote[2025].end 26649.70596875
transcript.pyannote[2026].speaker SPEAKER_19
transcript.pyannote[2026].start 26649.95909375
transcript.pyannote[2026].end 26651.29221875
transcript.pyannote[2027].speaker SPEAKER_19
transcript.pyannote[2027].start 26651.59596875
transcript.pyannote[2027].end 26651.91659375
transcript.pyannote[2028].speaker SPEAKER_19
transcript.pyannote[2028].start 26652.33846875
transcript.pyannote[2028].end 26655.46034375
transcript.pyannote[2029].speaker SPEAKER_19
transcript.pyannote[2029].start 26656.05096875
transcript.pyannote[2029].end 26659.45971875
transcript.pyannote[2030].speaker SPEAKER_19
transcript.pyannote[2030].start 26659.61159375
transcript.pyannote[2030].end 26661.77159375
transcript.pyannote[2031].speaker SPEAKER_19
transcript.pyannote[2031].start 26661.99096875
transcript.pyannote[2031].end 26663.15534375
transcript.pyannote[2032].speaker SPEAKER_19
transcript.pyannote[2032].start 26663.39159375
transcript.pyannote[2032].end 26664.10034375
transcript.pyannote[2033].speaker SPEAKER_19
transcript.pyannote[2033].start 26664.23534375
transcript.pyannote[2033].end 26666.27721875
transcript.pyannote[2034].speaker SPEAKER_19
transcript.pyannote[2034].start 26666.90159375
transcript.pyannote[2034].end 26670.79971875
transcript.pyannote[2035].speaker SPEAKER_19
transcript.pyannote[2035].start 26671.20471875
transcript.pyannote[2035].end 26672.63909375
transcript.pyannote[2036].speaker SPEAKER_19
transcript.pyannote[2036].start 26673.02721875
transcript.pyannote[2036].end 26674.90034375
transcript.pyannote[2037].speaker SPEAKER_19
transcript.pyannote[2037].start 26675.33909375
transcript.pyannote[2037].end 26676.48659375
transcript.pyannote[2038].speaker SPEAKER_19
transcript.pyannote[2038].start 26676.73971875
transcript.pyannote[2038].end 26679.57471875
transcript.pyannote[2039].speaker SPEAKER_15
transcript.pyannote[2039].start 26679.57471875
transcript.pyannote[2039].end 26681.31284375
transcript.pyannote[2040].speaker SPEAKER_15
transcript.pyannote[2040].start 26681.38034375
transcript.pyannote[2040].end 26696.12909375
transcript.pyannote[2041].speaker SPEAKER_15
transcript.pyannote[2041].start 26696.44971875
transcript.pyannote[2041].end 26700.19596875
transcript.pyannote[2042].speaker SPEAKER_15
transcript.pyannote[2042].start 26700.56721875
transcript.pyannote[2042].end 26708.36346875
transcript.pyannote[2043].speaker SPEAKER_15
transcript.pyannote[2043].start 26708.54909375
transcript.pyannote[2043].end 26712.43034375
transcript.pyannote[2044].speaker SPEAKER_15
transcript.pyannote[2044].start 26712.68346875
transcript.pyannote[2044].end 26725.17096875
transcript.pyannote[2045].speaker SPEAKER_15
transcript.pyannote[2045].start 26725.32284375
transcript.pyannote[2045].end 26728.76534375
transcript.pyannote[2046].speaker SPEAKER_15
transcript.pyannote[2046].start 26729.52471875
transcript.pyannote[2046].end 26730.62159375
transcript.pyannote[2047].speaker SPEAKER_15
transcript.pyannote[2047].start 26730.97596875
transcript.pyannote[2047].end 26740.03784375
transcript.pyannote[2048].speaker SPEAKER_19
transcript.pyannote[2048].start 26740.03784375
transcript.pyannote[2048].end 26740.47659375
transcript.pyannote[2049].speaker SPEAKER_15
transcript.pyannote[2049].start 26740.47659375
transcript.pyannote[2049].end 26741.47221875
transcript.pyannote[2050].speaker SPEAKER_19
transcript.pyannote[2050].start 26740.69596875
transcript.pyannote[2050].end 26741.52284375
transcript.pyannote[2051].speaker SPEAKER_22
transcript.pyannote[2051].start 26741.52284375
transcript.pyannote[2051].end 26741.67471875
transcript.pyannote[2052].speaker SPEAKER_19
transcript.pyannote[2052].start 26741.67471875
transcript.pyannote[2052].end 26746.68659375
transcript.pyannote[2053].speaker SPEAKER_15
transcript.pyannote[2053].start 26743.04159375
transcript.pyannote[2053].end 26743.26096875
transcript.pyannote[2054].speaker SPEAKER_19
transcript.pyannote[2054].start 26746.99034375
transcript.pyannote[2054].end 26751.14159375
transcript.pyannote[2055].speaker SPEAKER_19
transcript.pyannote[2055].start 26751.36096875
transcript.pyannote[2055].end 26752.55909375
transcript.pyannote[2056].speaker SPEAKER_19
transcript.pyannote[2056].start 26752.87971875
transcript.pyannote[2056].end 26755.79909375
transcript.pyannote[2057].speaker SPEAKER_19
transcript.pyannote[2057].start 26756.15346875
transcript.pyannote[2057].end 26765.63721875
transcript.pyannote[2058].speaker SPEAKER_19
transcript.pyannote[2058].start 26766.09284375
transcript.pyannote[2058].end 26770.46346875
transcript.pyannote[2059].speaker SPEAKER_15
transcript.pyannote[2059].start 26769.99096875
transcript.pyannote[2059].end 26774.80034375
transcript.pyannote[2060].speaker SPEAKER_10
transcript.pyannote[2060].start 26774.59784375
transcript.pyannote[2060].end 26843.09346875
transcript.pyannote[2061].speaker SPEAKER_19
transcript.pyannote[2061].start 26843.58284375
transcript.pyannote[2061].end 26849.47221875
transcript.pyannote[2062].speaker SPEAKER_15
transcript.pyannote[2062].start 26848.91534375
transcript.pyannote[2062].end 26849.57346875
transcript.pyannote[2063].speaker SPEAKER_19
transcript.pyannote[2063].start 26849.57346875
transcript.pyannote[2063].end 26849.79284375
transcript.pyannote[2064].speaker SPEAKER_15
transcript.pyannote[2064].start 26849.79284375
transcript.pyannote[2064].end 26850.45096875
transcript.pyannote[2065].speaker SPEAKER_19
transcript.pyannote[2065].start 26850.45096875
transcript.pyannote[2065].end 26852.39159375
transcript.pyannote[2066].speaker SPEAKER_15
transcript.pyannote[2066].start 26850.46784375
transcript.pyannote[2066].end 26850.53534375
transcript.pyannote[2067].speaker SPEAKER_15
transcript.pyannote[2067].start 26852.39159375
transcript.pyannote[2067].end 26852.83034375
transcript.pyannote[2068].speaker SPEAKER_19
transcript.pyannote[2068].start 26852.83034375
transcript.pyannote[2068].end 26859.05721875
transcript.pyannote[2069].speaker SPEAKER_24
transcript.pyannote[2069].start 26852.93159375
transcript.pyannote[2069].end 26852.94846875
transcript.pyannote[2070].speaker SPEAKER_24
transcript.pyannote[2070].start 26853.03284375
transcript.pyannote[2070].end 26853.06659375
transcript.pyannote[2071].speaker SPEAKER_15
transcript.pyannote[2071].start 26853.06659375
transcript.pyannote[2071].end 26853.69096875
transcript.pyannote[2072].speaker SPEAKER_24
transcript.pyannote[2072].start 26853.69096875
transcript.pyannote[2072].end 26853.72471875
transcript.pyannote[2073].speaker SPEAKER_15
transcript.pyannote[2073].start 26854.99034375
transcript.pyannote[2073].end 26855.96909375
transcript.pyannote[2074].speaker SPEAKER_24
transcript.pyannote[2074].start 26855.96909375
transcript.pyannote[2074].end 26857.36971875
transcript.pyannote[2075].speaker SPEAKER_15
transcript.pyannote[2075].start 26857.36971875
transcript.pyannote[2075].end 26857.38659375
transcript.pyannote[2076].speaker SPEAKER_15
transcript.pyannote[2076].start 26857.57221875
transcript.pyannote[2076].end 26857.63971875
transcript.pyannote[2077].speaker SPEAKER_24
transcript.pyannote[2077].start 26857.63971875
transcript.pyannote[2077].end 26858.58471875
transcript.pyannote[2078].speaker SPEAKER_19
transcript.pyannote[2078].start 26859.25971875
transcript.pyannote[2078].end 26864.62596875
transcript.pyannote[2079].speaker SPEAKER_19
transcript.pyannote[2079].start 26864.69346875
transcript.pyannote[2079].end 26866.60034375
transcript.pyannote[2080].speaker SPEAKER_24
transcript.pyannote[2080].start 26864.89596875
transcript.pyannote[2080].end 26865.35159375
transcript.pyannote[2081].speaker SPEAKER_24
transcript.pyannote[2081].start 26866.80284375
transcript.pyannote[2081].end 26874.41346875
transcript.pyannote[2082].speaker SPEAKER_19
transcript.pyannote[2082].start 26873.48534375
transcript.pyannote[2082].end 26878.32846875
transcript.pyannote[2083].speaker SPEAKER_24
transcript.pyannote[2083].start 26877.68721875
transcript.pyannote[2083].end 26881.38284375
transcript.pyannote[2084].speaker SPEAKER_19
transcript.pyannote[2084].start 26881.66971875
transcript.pyannote[2084].end 26885.56784375
transcript.pyannote[2085].speaker SPEAKER_24
transcript.pyannote[2085].start 26885.80409375
transcript.pyannote[2085].end 26889.43221875
transcript.pyannote[2086].speaker SPEAKER_24
transcript.pyannote[2086].start 26889.58409375
transcript.pyannote[2086].end 26898.10596875
transcript.pyannote[2087].speaker SPEAKER_19
transcript.pyannote[2087].start 26891.47409375
transcript.pyannote[2087].end 26891.82846875
transcript.pyannote[2088].speaker SPEAKER_19
transcript.pyannote[2088].start 26892.62159375
transcript.pyannote[2088].end 26893.54971875
transcript.pyannote[2089].speaker SPEAKER_19
transcript.pyannote[2089].start 26896.84034375
transcript.pyannote[2089].end 26904.72096875
transcript.pyannote[2090].speaker SPEAKER_24
transcript.pyannote[2090].start 26898.71346875
transcript.pyannote[2090].end 26901.59909375
transcript.pyannote[2091].speaker SPEAKER_24
transcript.pyannote[2091].start 26905.02471875
transcript.pyannote[2091].end 26911.75784375
transcript.pyannote[2092].speaker SPEAKER_24
transcript.pyannote[2092].start 26911.97721875
transcript.pyannote[2092].end 26913.25971875
transcript.pyannote[2093].speaker SPEAKER_24
transcript.pyannote[2093].start 26913.47909375
transcript.pyannote[2093].end 26913.73221875
transcript.pyannote[2094].speaker SPEAKER_19
transcript.pyannote[2094].start 26914.37346875
transcript.pyannote[2094].end 26915.25096875
transcript.pyannote[2095].speaker SPEAKER_19
transcript.pyannote[2095].start 26915.50409375
transcript.pyannote[2095].end 26916.36471875
transcript.pyannote[2096].speaker SPEAKER_19
transcript.pyannote[2096].start 26917.17471875
transcript.pyannote[2096].end 26921.89971875
transcript.pyannote[2097].speaker SPEAKER_19
transcript.pyannote[2097].start 26921.96721875
transcript.pyannote[2097].end 26921.98409375
transcript.pyannote[2098].speaker SPEAKER_19
transcript.pyannote[2098].start 26922.00096875
transcript.pyannote[2098].end 26926.16909375
transcript.pyannote[2099].speaker SPEAKER_19
transcript.pyannote[2099].start 26926.79346875
transcript.pyannote[2099].end 26930.57346875
transcript.pyannote[2100].speaker SPEAKER_19
transcript.pyannote[2100].start 26930.94471875
transcript.pyannote[2100].end 26942.79096875
transcript.pyannote[2101].speaker SPEAKER_19
transcript.pyannote[2101].start 26942.85846875
transcript.pyannote[2101].end 26944.25909375
transcript.pyannote[2102].speaker SPEAKER_19
transcript.pyannote[2102].start 26944.30971875
transcript.pyannote[2102].end 26950.95846875
transcript.pyannote[2103].speaker SPEAKER_19
transcript.pyannote[2103].start 26951.24534375
transcript.pyannote[2103].end 26956.69596875
transcript.pyannote[2104].speaker SPEAKER_19
transcript.pyannote[2104].start 26957.30346875
transcript.pyannote[2104].end 26958.28221875
transcript.pyannote[2105].speaker SPEAKER_19
transcript.pyannote[2105].start 26958.78846875
transcript.pyannote[2105].end 26960.47596875
transcript.pyannote[2106].speaker SPEAKER_19
transcript.pyannote[2106].start 26960.74596875
transcript.pyannote[2106].end 26966.68596875
transcript.pyannote[2107].speaker SPEAKER_19
transcript.pyannote[2107].start 26966.92221875
transcript.pyannote[2107].end 26967.95159375
transcript.pyannote[2108].speaker SPEAKER_19
transcript.pyannote[2108].start 26968.47471875
transcript.pyannote[2108].end 26969.33534375
transcript.pyannote[2109].speaker SPEAKER_19
transcript.pyannote[2109].start 26969.82471875
transcript.pyannote[2109].end 26971.02284375
transcript.pyannote[2110].speaker SPEAKER_19
transcript.pyannote[2110].start 26971.20846875
transcript.pyannote[2110].end 26973.90846875
transcript.pyannote[2111].speaker SPEAKER_19
transcript.pyannote[2111].start 26974.12784375
transcript.pyannote[2111].end 26977.26659375
transcript.pyannote[2112].speaker SPEAKER_10
transcript.pyannote[2112].start 26976.06846875
transcript.pyannote[2112].end 26986.05846875
transcript.pyannote[2113].speaker SPEAKER_19
transcript.pyannote[2113].start 26981.53596875
transcript.pyannote[2113].end 26982.07596875
transcript.pyannote[2114].speaker SPEAKER_19
transcript.pyannote[2114].start 26986.15971875
transcript.pyannote[2114].end 26989.66971875
transcript.pyannote[2115].speaker SPEAKER_19
transcript.pyannote[2115].start 26989.97346875
transcript.pyannote[2115].end 26990.78346875
transcript.pyannote[2116].speaker SPEAKER_19
transcript.pyannote[2116].start 26990.98596875
transcript.pyannote[2116].end 26993.41596875
transcript.pyannote[2117].speaker SPEAKER_19
transcript.pyannote[2117].start 26993.97284375
transcript.pyannote[2117].end 26996.47034375
transcript.pyannote[2118].speaker SPEAKER_19
transcript.pyannote[2118].start 26996.77409375
transcript.pyannote[2118].end 26997.33096875
transcript.pyannote[2119].speaker SPEAKER_19
transcript.pyannote[2119].start 26997.83721875
transcript.pyannote[2119].end 27004.06409375
transcript.pyannote[2120].speaker SPEAKER_19
transcript.pyannote[2120].start 27004.53659375
transcript.pyannote[2120].end 27014.40846875
transcript.pyannote[2121].speaker SPEAKER_19
transcript.pyannote[2121].start 27014.98221875
transcript.pyannote[2121].end 27017.46284375
transcript.pyannote[2122].speaker SPEAKER_19
transcript.pyannote[2122].start 27017.69909375
transcript.pyannote[2122].end 27019.03221875
transcript.pyannote[2123].speaker SPEAKER_19
transcript.pyannote[2123].start 27023.48721875
transcript.pyannote[2123].end 27028.43159375
transcript.pyannote[2124].speaker SPEAKER_19
transcript.pyannote[2124].start 27028.93784375
transcript.pyannote[2124].end 27033.20721875
transcript.pyannote[2125].speaker SPEAKER_22
transcript.pyannote[2125].start 27033.20721875
transcript.pyannote[2125].end 27033.44346875
transcript.pyannote[2126].speaker SPEAKER_19
transcript.pyannote[2126].start 27033.44346875
transcript.pyannote[2126].end 27036.83534375
transcript.pyannote[2127].speaker SPEAKER_19
transcript.pyannote[2127].start 27037.25721875
transcript.pyannote[2127].end 27051.71909375
transcript.pyannote[2128].speaker SPEAKER_19
transcript.pyannote[2128].start 27052.00596875
transcript.pyannote[2128].end 27054.40221875
transcript.pyannote[2129].speaker SPEAKER_19
transcript.pyannote[2129].start 27055.09409375
transcript.pyannote[2129].end 27056.59596875
transcript.pyannote[2130].speaker SPEAKER_19
transcript.pyannote[2130].start 27057.05159375
transcript.pyannote[2130].end 27058.11471875
transcript.pyannote[2131].speaker SPEAKER_19
transcript.pyannote[2131].start 27058.53659375
transcript.pyannote[2131].end 27060.61221875
transcript.pyannote[2132].speaker SPEAKER_19
transcript.pyannote[2132].start 27060.67971875
transcript.pyannote[2132].end 27062.38409375
transcript.pyannote[2133].speaker SPEAKER_19
transcript.pyannote[2133].start 27062.95784375
transcript.pyannote[2133].end 27064.25721875
transcript.pyannote[2134].speaker SPEAKER_19
transcript.pyannote[2134].start 27064.99971875
transcript.pyannote[2134].end 27069.42096875
transcript.pyannote[2135].speaker SPEAKER_19
transcript.pyannote[2135].start 27069.87659375
transcript.pyannote[2135].end 27073.55534375
transcript.pyannote[2136].speaker SPEAKER_19
transcript.pyannote[2136].start 27074.16284375
transcript.pyannote[2136].end 27076.44096875
transcript.pyannote[2137].speaker SPEAKER_19
transcript.pyannote[2137].start 27076.72784375
transcript.pyannote[2137].end 27078.63471875
transcript.pyannote[2138].speaker SPEAKER_19
transcript.pyannote[2138].start 27078.75284375
transcript.pyannote[2138].end 27080.76096875
transcript.pyannote[2139].speaker SPEAKER_19
transcript.pyannote[2139].start 27080.89596875
transcript.pyannote[2139].end 27082.06034375
transcript.pyannote[2140].speaker SPEAKER_19
transcript.pyannote[2140].start 27083.19096875
transcript.pyannote[2140].end 27083.78159375
transcript.pyannote[2141].speaker SPEAKER_15
transcript.pyannote[2141].start 27083.78159375
transcript.pyannote[2141].end 27084.01784375
transcript.pyannote[2142].speaker SPEAKER_19
transcript.pyannote[2142].start 27084.01784375
transcript.pyannote[2142].end 27084.84471875
transcript.pyannote[2143].speaker SPEAKER_15
transcript.pyannote[2143].start 27084.84471875
transcript.pyannote[2143].end 27085.23284375
transcript.pyannote[2144].speaker SPEAKER_15
transcript.pyannote[2144].start 27085.80659375
transcript.pyannote[2144].end 27087.64596875
transcript.pyannote[2145].speaker SPEAKER_15
transcript.pyannote[2145].start 27087.89909375
transcript.pyannote[2145].end 27090.49784375
transcript.pyannote[2146].speaker SPEAKER_15
transcript.pyannote[2146].start 27090.68346875
transcript.pyannote[2146].end 27091.84784375
transcript.pyannote[2147].speaker SPEAKER_15
transcript.pyannote[2147].start 27092.69159375
transcript.pyannote[2147].end 27093.65346875
transcript.pyannote[2148].speaker SPEAKER_15
transcript.pyannote[2148].start 27093.99096875
transcript.pyannote[2148].end 27094.66596875
transcript.pyannote[2149].speaker SPEAKER_15
transcript.pyannote[2149].start 27094.95284375
transcript.pyannote[2149].end 27096.23534375
transcript.pyannote[2150].speaker SPEAKER_15
transcript.pyannote[2150].start 27096.52221875
transcript.pyannote[2150].end 27098.09159375
transcript.pyannote[2151].speaker SPEAKER_15
transcript.pyannote[2151].start 27098.61471875
transcript.pyannote[2151].end 27100.31909375
transcript.pyannote[2152].speaker SPEAKER_15
transcript.pyannote[2152].start 27100.53846875
transcript.pyannote[2152].end 27103.18784375
transcript.pyannote[2153].speaker SPEAKER_15
transcript.pyannote[2153].start 27103.52534375
transcript.pyannote[2153].end 27104.68971875
transcript.pyannote[2154].speaker SPEAKER_15
transcript.pyannote[2154].start 27105.34784375
transcript.pyannote[2154].end 27105.87096875
transcript.pyannote[2155].speaker SPEAKER_15
transcript.pyannote[2155].start 27106.17471875
transcript.pyannote[2155].end 27107.98034375
transcript.pyannote[2156].speaker SPEAKER_15
transcript.pyannote[2156].start 27108.06471875
transcript.pyannote[2156].end 27111.38909375
transcript.pyannote[2157].speaker SPEAKER_15
transcript.pyannote[2157].start 27111.92909375
transcript.pyannote[2157].end 27113.36346875
transcript.pyannote[2158].speaker SPEAKER_15
transcript.pyannote[2158].start 27113.75159375
transcript.pyannote[2158].end 27115.54034375
transcript.pyannote[2159].speaker SPEAKER_15
transcript.pyannote[2159].start 27115.79346875
transcript.pyannote[2159].end 27116.26596875
transcript.pyannote[2160].speaker SPEAKER_15
transcript.pyannote[2160].start 27116.73846875
transcript.pyannote[2160].end 27117.14346875
transcript.pyannote[2161].speaker SPEAKER_15
transcript.pyannote[2161].start 27117.43034375
transcript.pyannote[2161].end 27118.98284375
transcript.pyannote[2162].speaker SPEAKER_15
transcript.pyannote[2162].start 27119.28659375
transcript.pyannote[2162].end 27121.00784375
transcript.pyannote[2163].speaker SPEAKER_15
transcript.pyannote[2163].start 27121.39596875
transcript.pyannote[2163].end 27121.75034375
transcript.pyannote[2164].speaker SPEAKER_15
transcript.pyannote[2164].start 27122.12159375
transcript.pyannote[2164].end 27123.69096875
transcript.pyannote[2165].speaker SPEAKER_15
transcript.pyannote[2165].start 27124.09596875
transcript.pyannote[2165].end 27141.76409375
transcript.pyannote[2166].speaker SPEAKER_15
transcript.pyannote[2166].start 27142.18596875
transcript.pyannote[2166].end 27146.15159375
transcript.pyannote[2167].speaker SPEAKER_15
transcript.pyannote[2167].start 27146.52284375
transcript.pyannote[2167].end 27149.22284375
transcript.pyannote[2168].speaker SPEAKER_15
transcript.pyannote[2168].start 27149.69534375
transcript.pyannote[2168].end 27152.74971875
transcript.pyannote[2169].speaker SPEAKER_15
transcript.pyannote[2169].start 27153.07034375
transcript.pyannote[2169].end 27158.57159375
transcript.pyannote[2170].speaker SPEAKER_19
transcript.pyannote[2170].start 27159.07784375
transcript.pyannote[2170].end 27159.09471875
transcript.pyannote[2171].speaker SPEAKER_15
transcript.pyannote[2171].start 27159.09471875
transcript.pyannote[2171].end 27159.11159375
transcript.pyannote[2172].speaker SPEAKER_19
transcript.pyannote[2172].start 27159.11159375
transcript.pyannote[2172].end 27165.92909375
transcript.pyannote[2173].speaker SPEAKER_19
transcript.pyannote[2173].start 27166.72221875
transcript.pyannote[2173].end 27172.69596875
transcript.pyannote[2174].speaker SPEAKER_19
transcript.pyannote[2174].start 27173.45534375
transcript.pyannote[2174].end 27182.38221875
transcript.pyannote[2175].speaker SPEAKER_19
transcript.pyannote[2175].start 27182.82096875
transcript.pyannote[2175].end 27186.83721875
transcript.pyannote[2176].speaker SPEAKER_19
transcript.pyannote[2176].start 27187.36034375
transcript.pyannote[2176].end 27192.25409375
transcript.pyannote[2177].speaker SPEAKER_19
transcript.pyannote[2177].start 27192.28784375
transcript.pyannote[2177].end 27192.30471875
transcript.pyannote[2178].speaker SPEAKER_19
transcript.pyannote[2178].start 27192.33846875
transcript.pyannote[2178].end 27192.96284375
transcript.pyannote[2179].speaker SPEAKER_15
transcript.pyannote[2179].start 27192.96284375
transcript.pyannote[2179].end 27193.99221875
transcript.pyannote[2180].speaker SPEAKER_19
transcript.pyannote[2180].start 27194.34659375
transcript.pyannote[2180].end 27194.36346875
transcript.pyannote[2181].speaker SPEAKER_15
transcript.pyannote[2181].start 27194.36346875
transcript.pyannote[2181].end 27195.05534375
transcript.pyannote[2182].speaker SPEAKER_15
transcript.pyannote[2182].start 27195.57846875
transcript.pyannote[2182].end 27196.59096875
transcript.pyannote[2183].speaker SPEAKER_15
transcript.pyannote[2183].start 27197.35034375
transcript.pyannote[2183].end 27215.55846875
transcript.pyannote[2184].speaker SPEAKER_00
transcript.pyannote[2184].start 27198.98721875
transcript.pyannote[2184].end 27199.84784375
transcript.pyannote[2185].speaker SPEAKER_15
transcript.pyannote[2185].start 27216.40221875
transcript.pyannote[2185].end 27219.96284375
transcript.pyannote[2186].speaker SPEAKER_15
transcript.pyannote[2186].start 27220.46909375
transcript.pyannote[2186].end 27226.71284375
transcript.pyannote[2187].speaker SPEAKER_15
transcript.pyannote[2187].start 27226.98284375
transcript.pyannote[2187].end 27229.71659375
transcript.pyannote[2188].speaker SPEAKER_15
transcript.pyannote[2188].start 27230.05409375
transcript.pyannote[2188].end 27235.80846875
transcript.pyannote[2189].speaker SPEAKER_15
transcript.pyannote[2189].start 27236.04471875
transcript.pyannote[2189].end 27242.64284375
transcript.pyannote[2190].speaker SPEAKER_15
transcript.pyannote[2190].start 27242.72721875
transcript.pyannote[2190].end 27252.95346875
transcript.pyannote[2191].speaker SPEAKER_19
transcript.pyannote[2191].start 27252.95346875
transcript.pyannote[2191].end 27252.98721875
transcript.pyannote[2192].speaker SPEAKER_15
transcript.pyannote[2192].start 27253.20659375
transcript.pyannote[2192].end 27253.29096875
transcript.pyannote[2193].speaker SPEAKER_19
transcript.pyannote[2193].start 27253.29096875
transcript.pyannote[2193].end 27258.28596875
transcript.pyannote[2194].speaker SPEAKER_19
transcript.pyannote[2194].start 27258.57284375
transcript.pyannote[2194].end 27259.04534375
transcript.pyannote[2195].speaker SPEAKER_19
transcript.pyannote[2195].start 27259.19721875
transcript.pyannote[2195].end 27262.18409375
transcript.pyannote[2196].speaker SPEAKER_19
transcript.pyannote[2196].start 27263.04471875
transcript.pyannote[2196].end 27263.82096875
transcript.pyannote[2197].speaker SPEAKER_19
transcript.pyannote[2197].start 27264.27659375
transcript.pyannote[2197].end 27268.69784375
transcript.pyannote[2198].speaker SPEAKER_19
transcript.pyannote[2198].start 27268.96784375
transcript.pyannote[2198].end 27275.80221875
transcript.pyannote[2199].speaker SPEAKER_19
transcript.pyannote[2199].start 27275.90346875
transcript.pyannote[2199].end 27281.82659375
transcript.pyannote[2200].speaker SPEAKER_19
transcript.pyannote[2200].start 27282.02909375
transcript.pyannote[2200].end 27283.09221875
transcript.pyannote[2201].speaker SPEAKER_19
transcript.pyannote[2201].start 27283.34534375
transcript.pyannote[2201].end 27284.15534375
transcript.pyannote[2202].speaker SPEAKER_19
transcript.pyannote[2202].start 27284.30721875
transcript.pyannote[2202].end 27284.94846875
transcript.pyannote[2203].speaker SPEAKER_19
transcript.pyannote[2203].start 27285.35346875
transcript.pyannote[2203].end 27286.77096875
transcript.pyannote[2204].speaker SPEAKER_19
transcript.pyannote[2204].start 27287.15909375
transcript.pyannote[2204].end 27290.53409375
transcript.pyannote[2205].speaker SPEAKER_19
transcript.pyannote[2205].start 27290.55096875
transcript.pyannote[2205].end 27291.93471875
transcript.pyannote[2206].speaker SPEAKER_19
transcript.pyannote[2206].start 27292.10346875
transcript.pyannote[2206].end 27293.89221875
transcript.pyannote[2207].speaker SPEAKER_19
transcript.pyannote[2207].start 27294.51659375
transcript.pyannote[2207].end 27300.11909375
transcript.pyannote[2208].speaker SPEAKER_19
transcript.pyannote[2208].start 27300.96284375
transcript.pyannote[2208].end 27303.34221875
transcript.pyannote[2209].speaker SPEAKER_19
transcript.pyannote[2209].start 27303.67971875
transcript.pyannote[2209].end 27306.73409375
transcript.pyannote[2210].speaker SPEAKER_19
transcript.pyannote[2210].start 27307.10534375
transcript.pyannote[2210].end 27311.96534375
transcript.pyannote[2211].speaker SPEAKER_19
transcript.pyannote[2211].start 27312.33659375
transcript.pyannote[2211].end 27318.02346875
transcript.pyannote[2212].speaker SPEAKER_15
transcript.pyannote[2212].start 27318.19221875
transcript.pyannote[2212].end 27324.75659375
transcript.pyannote[2213].speaker SPEAKER_15
transcript.pyannote[2213].start 27324.85784375
transcript.pyannote[2213].end 27332.33346875
transcript.pyannote[2214].speaker SPEAKER_15
transcript.pyannote[2214].start 27332.45159375
transcript.pyannote[2214].end 27333.26159375
transcript.pyannote[2215].speaker SPEAKER_15
transcript.pyannote[2215].start 27333.53159375
transcript.pyannote[2215].end 27334.32471875
transcript.pyannote[2216].speaker SPEAKER_15
transcript.pyannote[2216].start 27334.42596875
transcript.pyannote[2216].end 27341.71596875
transcript.pyannote[2217].speaker SPEAKER_15
transcript.pyannote[2217].start 27342.08721875
transcript.pyannote[2217].end 27343.99409375
transcript.pyannote[2218].speaker SPEAKER_15
transcript.pyannote[2218].start 27344.24721875
transcript.pyannote[2218].end 27354.32159375
transcript.pyannote[2219].speaker SPEAKER_15
transcript.pyannote[2219].start 27354.72659375
transcript.pyannote[2219].end 27358.28721875
transcript.pyannote[2220].speaker SPEAKER_15
transcript.pyannote[2220].start 27358.45596875
transcript.pyannote[2220].end 27361.12221875
transcript.pyannote[2221].speaker SPEAKER_15
transcript.pyannote[2221].start 27361.24034375
transcript.pyannote[2221].end 27391.07534375
transcript.pyannote[2222].speaker SPEAKER_19
transcript.pyannote[2222].start 27391.49721875
transcript.pyannote[2222].end 27411.74721875
transcript.pyannote[2223].speaker SPEAKER_00
transcript.pyannote[2223].start 27403.44471875
transcript.pyannote[2223].end 27403.81596875
transcript.pyannote[2224].speaker SPEAKER_00
transcript.pyannote[2224].start 27405.95909375
transcript.pyannote[2224].end 27406.09409375
transcript.pyannote[2225].speaker SPEAKER_15
transcript.pyannote[2225].start 27410.95409375
transcript.pyannote[2225].end 27411.73034375
transcript.pyannote[2226].speaker SPEAKER_15
transcript.pyannote[2226].start 27411.74721875
transcript.pyannote[2226].end 27412.96221875
transcript.pyannote[2227].speaker SPEAKER_19
transcript.pyannote[2227].start 27412.62471875
transcript.pyannote[2227].end 27425.65221875
transcript.pyannote[2228].speaker SPEAKER_19
transcript.pyannote[2228].start 27425.95596875
transcript.pyannote[2228].end 27426.76596875
transcript.pyannote[2229].speaker SPEAKER_19
transcript.pyannote[2229].start 27426.86721875
transcript.pyannote[2229].end 27428.30159375
transcript.pyannote[2230].speaker SPEAKER_19
transcript.pyannote[2230].start 27428.60534375
transcript.pyannote[2230].end 27429.09471875
transcript.pyannote[2231].speaker SPEAKER_19
transcript.pyannote[2231].start 27429.66846875
transcript.pyannote[2231].end 27430.42784375
transcript.pyannote[2232].speaker SPEAKER_19
transcript.pyannote[2232].start 27430.64721875
transcript.pyannote[2232].end 27431.22096875
transcript.pyannote[2233].speaker SPEAKER_19
transcript.pyannote[2233].start 27431.59221875
transcript.pyannote[2233].end 27435.15284375
transcript.pyannote[2234].speaker SPEAKER_19
transcript.pyannote[2234].start 27435.45659375
transcript.pyannote[2234].end 27440.90721875
transcript.pyannote[2235].speaker SPEAKER_19
transcript.pyannote[2235].start 27441.21096875
transcript.pyannote[2235].end 27443.45534375
transcript.pyannote[2236].speaker SPEAKER_19
transcript.pyannote[2236].start 27443.60721875
transcript.pyannote[2236].end 27446.40846875
transcript.pyannote[2237].speaker SPEAKER_19
transcript.pyannote[2237].start 27446.79659375
transcript.pyannote[2237].end 27447.85971875
transcript.pyannote[2238].speaker SPEAKER_19
transcript.pyannote[2238].start 27448.38284375
transcript.pyannote[2238].end 27449.51346875
transcript.pyannote[2239].speaker SPEAKER_19
transcript.pyannote[2239].start 27449.96909375
transcript.pyannote[2239].end 27450.47534375
transcript.pyannote[2240].speaker SPEAKER_19
transcript.pyannote[2240].start 27450.91409375
transcript.pyannote[2240].end 27451.38659375
transcript.pyannote[2241].speaker SPEAKER_19
transcript.pyannote[2241].start 27451.55534375
transcript.pyannote[2241].end 27453.42846875
transcript.pyannote[2242].speaker SPEAKER_19
transcript.pyannote[2242].start 27453.88409375
transcript.pyannote[2242].end 27456.73596875
transcript.pyannote[2243].speaker SPEAKER_19
transcript.pyannote[2243].start 27457.32659375
transcript.pyannote[2243].end 27459.79034375
transcript.pyannote[2244].speaker SPEAKER_19
transcript.pyannote[2244].start 27460.06034375
transcript.pyannote[2244].end 27462.32159375
transcript.pyannote[2245].speaker SPEAKER_19
transcript.pyannote[2245].start 27462.67596875
transcript.pyannote[2245].end 27463.16534375
transcript.pyannote[2246].speaker SPEAKER_19
transcript.pyannote[2246].start 27463.38471875
transcript.pyannote[2246].end 27465.13971875
transcript.pyannote[2247].speaker SPEAKER_19
transcript.pyannote[2247].start 27465.40971875
transcript.pyannote[2247].end 27467.85659375
transcript.pyannote[2248].speaker SPEAKER_19
transcript.pyannote[2248].start 27468.19409375
transcript.pyannote[2248].end 27468.68346875
transcript.pyannote[2249].speaker SPEAKER_19
transcript.pyannote[2249].start 27469.40909375
transcript.pyannote[2249].end 27470.48909375
transcript.pyannote[2250].speaker SPEAKER_19
transcript.pyannote[2250].start 27470.77596875
transcript.pyannote[2250].end 27472.83471875
transcript.pyannote[2251].speaker SPEAKER_19
transcript.pyannote[2251].start 27473.35784375
transcript.pyannote[2251].end 27474.10034375
transcript.pyannote[2252].speaker SPEAKER_19
transcript.pyannote[2252].start 27474.43784375
transcript.pyannote[2252].end 27481.45784375
transcript.pyannote[2253].speaker SPEAKER_19
transcript.pyannote[2253].start 27481.50846875
transcript.pyannote[2253].end 27482.57159375
transcript.pyannote[2254].speaker SPEAKER_19
transcript.pyannote[2254].start 27482.90909375
transcript.pyannote[2254].end 27485.98034375
transcript.pyannote[2255].speaker SPEAKER_19
transcript.pyannote[2255].start 27486.35159375
transcript.pyannote[2255].end 27486.82409375
transcript.pyannote[2256].speaker SPEAKER_19
transcript.pyannote[2256].start 27486.95909375
transcript.pyannote[2256].end 27489.27096875
transcript.pyannote[2257].speaker SPEAKER_19
transcript.pyannote[2257].start 27489.65909375
transcript.pyannote[2257].end 27491.39721875
transcript.pyannote[2258].speaker SPEAKER_19
transcript.pyannote[2258].start 27491.90346875
transcript.pyannote[2258].end 27497.23596875
transcript.pyannote[2259].speaker SPEAKER_15
transcript.pyannote[2259].start 27497.69159375
transcript.pyannote[2259].end 27521.23221875
transcript.pyannote[2260].speaker SPEAKER_16
transcript.pyannote[2260].start 27521.23221875
transcript.pyannote[2260].end 27521.24909375
transcript.pyannote[2261].speaker SPEAKER_16
transcript.pyannote[2261].start 27521.48534375
transcript.pyannote[2261].end 27521.53596875
transcript.pyannote[2262].speaker SPEAKER_15
transcript.pyannote[2262].start 27521.53596875
transcript.pyannote[2262].end 27523.93221875
transcript.pyannote[2263].speaker SPEAKER_15
transcript.pyannote[2263].start 27524.47221875
transcript.pyannote[2263].end 27524.48909375
transcript.pyannote[2264].speaker SPEAKER_16
transcript.pyannote[2264].start 27524.48909375
transcript.pyannote[2264].end 27562.15409375
transcript.pyannote[2265].speaker SPEAKER_19
transcript.pyannote[2265].start 27562.79534375
transcript.pyannote[2265].end 27566.86221875
transcript.pyannote[2266].speaker SPEAKER_19
transcript.pyannote[2266].start 27566.98034375
transcript.pyannote[2266].end 27569.73096875
transcript.pyannote[2267].speaker SPEAKER_19
transcript.pyannote[2267].start 27570.13596875
transcript.pyannote[2267].end 27572.11034375
transcript.pyannote[2268].speaker SPEAKER_19
transcript.pyannote[2268].start 27572.63346875
transcript.pyannote[2268].end 27573.71346875
transcript.pyannote[2269].speaker SPEAKER_19
transcript.pyannote[2269].start 27573.89909375
transcript.pyannote[2269].end 27578.28659375
transcript.pyannote[2270].speaker SPEAKER_19
transcript.pyannote[2270].start 27578.74221875
transcript.pyannote[2270].end 27580.91909375
transcript.pyannote[2271].speaker SPEAKER_19
transcript.pyannote[2271].start 27581.25659375
transcript.pyannote[2271].end 27596.07284375
transcript.pyannote[2272].speaker SPEAKER_19
transcript.pyannote[2272].start 27596.27534375
transcript.pyannote[2272].end 27599.54909375
transcript.pyannote[2273].speaker SPEAKER_19
transcript.pyannote[2273].start 27599.75159375
transcript.pyannote[2273].end 27601.23659375
transcript.pyannote[2274].speaker SPEAKER_19
transcript.pyannote[2274].start 27601.72596875
transcript.pyannote[2274].end 27612.47534375
transcript.pyannote[2275].speaker SPEAKER_19
transcript.pyannote[2275].start 27612.81284375
transcript.pyannote[2275].end 27614.97284375
transcript.pyannote[2276].speaker SPEAKER_15
transcript.pyannote[2276].start 27615.00659375
transcript.pyannote[2276].end 27621.62159375
transcript.pyannote[2277].speaker SPEAKER_19
transcript.pyannote[2277].start 27615.34409375
transcript.pyannote[2277].end 27615.47909375
transcript.pyannote[2278].speaker SPEAKER_19
transcript.pyannote[2278].start 27622.00971875
transcript.pyannote[2278].end 27630.14346875
transcript.pyannote[2279].speaker SPEAKER_19
transcript.pyannote[2279].start 27630.29534375
transcript.pyannote[2279].end 27633.34971875
transcript.pyannote[2280].speaker SPEAKER_19
transcript.pyannote[2280].start 27633.60284375
transcript.pyannote[2280].end 27646.42784375
transcript.pyannote[2281].speaker SPEAKER_19
transcript.pyannote[2281].start 27646.84971875
transcript.pyannote[2281].end 27647.67659375
transcript.pyannote[2282].speaker SPEAKER_19
transcript.pyannote[2282].start 27647.96346875
transcript.pyannote[2282].end 27650.03909375
transcript.pyannote[2283].speaker SPEAKER_19
transcript.pyannote[2283].start 27650.30909375
transcript.pyannote[2283].end 27652.63784375
transcript.pyannote[2284].speaker SPEAKER_19
transcript.pyannote[2284].start 27653.02596875
transcript.pyannote[2284].end 27656.55284375
transcript.pyannote[2285].speaker SPEAKER_19
transcript.pyannote[2285].start 27656.95784375
transcript.pyannote[2285].end 27658.84784375
transcript.pyannote[2286].speaker SPEAKER_19
transcript.pyannote[2286].start 27659.15159375
transcript.pyannote[2286].end 27659.79284375
transcript.pyannote[2287].speaker SPEAKER_19
transcript.pyannote[2287].start 27659.96159375
transcript.pyannote[2287].end 27662.08784375
transcript.pyannote[2288].speaker SPEAKER_19
transcript.pyannote[2288].start 27662.40846875
transcript.pyannote[2288].end 27663.74159375
transcript.pyannote[2289].speaker SPEAKER_19
transcript.pyannote[2289].start 27664.24784375
transcript.pyannote[2289].end 27667.03221875
transcript.pyannote[2290].speaker SPEAKER_19
transcript.pyannote[2290].start 27667.06596875
transcript.pyannote[2290].end 27674.30534375
transcript.pyannote[2291].speaker SPEAKER_19
transcript.pyannote[2291].start 27675.11534375
transcript.pyannote[2291].end 27680.07659375
transcript.pyannote[2292].speaker SPEAKER_19
transcript.pyannote[2292].start 27680.39721875
transcript.pyannote[2292].end 27683.50221875
transcript.pyannote[2293].speaker SPEAKER_19
transcript.pyannote[2293].start 27684.29534375
transcript.pyannote[2293].end 27692.51346875
transcript.pyannote[2294].speaker SPEAKER_19
transcript.pyannote[2294].start 27692.80034375
transcript.pyannote[2294].end 27694.25159375
transcript.pyannote[2295].speaker SPEAKER_19
transcript.pyannote[2295].start 27694.69034375
transcript.pyannote[2295].end 27699.83721875
transcript.pyannote[2296].speaker SPEAKER_19
transcript.pyannote[2296].start 27700.46159375
transcript.pyannote[2296].end 27702.80721875
transcript.pyannote[2297].speaker SPEAKER_19
transcript.pyannote[2297].start 27703.16159375
transcript.pyannote[2297].end 27704.78159375
transcript.pyannote[2298].speaker SPEAKER_19
transcript.pyannote[2298].start 27704.88284375
transcript.pyannote[2298].end 27709.70909375
transcript.pyannote[2299].speaker SPEAKER_19
transcript.pyannote[2299].start 27710.13096875
transcript.pyannote[2299].end 27712.57784375
transcript.pyannote[2300].speaker SPEAKER_19
transcript.pyannote[2300].start 27712.94909375
transcript.pyannote[2300].end 27714.61971875
transcript.pyannote[2301].speaker SPEAKER_19
transcript.pyannote[2301].start 27715.02471875
transcript.pyannote[2301].end 27723.93471875
transcript.pyannote[2302].speaker SPEAKER_19
transcript.pyannote[2302].start 27724.18784375
transcript.pyannote[2302].end 27726.28034375
transcript.pyannote[2303].speaker SPEAKER_19
transcript.pyannote[2303].start 27726.68534375
transcript.pyannote[2303].end 27728.69346875
transcript.pyannote[2304].speaker SPEAKER_19
transcript.pyannote[2304].start 27729.19971875
transcript.pyannote[2304].end 27733.55346875
transcript.pyannote[2305].speaker SPEAKER_19
transcript.pyannote[2305].start 27733.77284375
transcript.pyannote[2305].end 27734.85284375
transcript.pyannote[2306].speaker SPEAKER_19
transcript.pyannote[2306].start 27735.19034375
transcript.pyannote[2306].end 27736.43909375
transcript.pyannote[2307].speaker SPEAKER_19
transcript.pyannote[2307].start 27736.69221875
transcript.pyannote[2307].end 27738.09284375
transcript.pyannote[2308].speaker SPEAKER_19
transcript.pyannote[2308].start 27738.37971875
transcript.pyannote[2308].end 27739.56096875
transcript.pyannote[2309].speaker SPEAKER_19
transcript.pyannote[2309].start 27739.96596875
transcript.pyannote[2309].end 27741.48471875
transcript.pyannote[2310].speaker SPEAKER_19
transcript.pyannote[2310].start 27741.87284375
transcript.pyannote[2310].end 27747.20534375
transcript.pyannote[2311].speaker SPEAKER_19
transcript.pyannote[2311].start 27747.49221875
transcript.pyannote[2311].end 27748.03221875
transcript.pyannote[2312].speaker SPEAKER_19
transcript.pyannote[2312].start 27748.20096875
transcript.pyannote[2312].end 27749.63534375
transcript.pyannote[2313].speaker SPEAKER_19
transcript.pyannote[2313].start 27749.97284375
transcript.pyannote[2313].end 27753.73596875
transcript.pyannote[2314].speaker SPEAKER_15
transcript.pyannote[2314].start 27754.20846875
transcript.pyannote[2314].end 27758.64659375
transcript.pyannote[2315].speaker SPEAKER_15
transcript.pyannote[2315].start 27758.91659375
transcript.pyannote[2315].end 27760.92471875
transcript.pyannote[2316].speaker SPEAKER_15
transcript.pyannote[2316].start 27761.21159375
transcript.pyannote[2316].end 27769.95284375
transcript.pyannote[2317].speaker SPEAKER_15
transcript.pyannote[2317].start 27770.05409375
transcript.pyannote[2317].end 27773.86784375
transcript.pyannote[2318].speaker SPEAKER_15
transcript.pyannote[2318].start 27774.10409375
transcript.pyannote[2318].end 27778.28909375
transcript.pyannote[2319].speaker SPEAKER_15
transcript.pyannote[2319].start 27778.50846875
transcript.pyannote[2319].end 27779.03159375
transcript.pyannote[2320].speaker SPEAKER_16
transcript.pyannote[2320].start 27779.03159375
transcript.pyannote[2320].end 27779.36909375
transcript.pyannote[2321].speaker SPEAKER_15
transcript.pyannote[2321].start 27779.36909375
transcript.pyannote[2321].end 27779.38596875
transcript.pyannote[2322].speaker SPEAKER_15
transcript.pyannote[2322].start 27779.79096875
transcript.pyannote[2322].end 27779.84159375
transcript.pyannote[2323].speaker SPEAKER_16
transcript.pyannote[2323].start 27779.84159375
transcript.pyannote[2323].end 27781.63034375
transcript.pyannote[2324].speaker SPEAKER_16
transcript.pyannote[2324].start 27781.79909375
transcript.pyannote[2324].end 27783.60471875
transcript.pyannote[2325].speaker SPEAKER_16
transcript.pyannote[2325].start 27784.00971875
transcript.pyannote[2325].end 27854.19284375
transcript.pyannote[2326].speaker SPEAKER_19
transcript.pyannote[2326].start 27813.59159375
transcript.pyannote[2326].end 27815.76846875
transcript.pyannote[2327].speaker SPEAKER_19
transcript.pyannote[2327].start 27829.03221875
transcript.pyannote[2327].end 27829.42034375
transcript.pyannote[2328].speaker SPEAKER_19
transcript.pyannote[2328].start 27853.19721875
transcript.pyannote[2328].end 27854.42909375
transcript.pyannote[2329].speaker SPEAKER_16
transcript.pyannote[2329].start 27854.34471875
transcript.pyannote[2329].end 27854.39534375
transcript.pyannote[2330].speaker SPEAKER_16
transcript.pyannote[2330].start 27854.42909375
transcript.pyannote[2330].end 27863.20409375
transcript.pyannote[2331].speaker SPEAKER_19
transcript.pyannote[2331].start 27861.60096875
transcript.pyannote[2331].end 27865.60034375
transcript.pyannote[2332].speaker SPEAKER_19
transcript.pyannote[2332].start 27865.71846875
transcript.pyannote[2332].end 27868.75596875
transcript.pyannote[2333].speaker SPEAKER_16
transcript.pyannote[2333].start 27868.75596875
transcript.pyannote[2333].end 27868.90784375
transcript.pyannote[2334].speaker SPEAKER_16
transcript.pyannote[2334].start 27868.92471875
transcript.pyannote[2334].end 27876.19784375
transcript.pyannote[2335].speaker SPEAKER_29
transcript.pyannote[2335].start 27883.28534375
transcript.pyannote[2335].end 27887.36909375
transcript.pyannote[2336].speaker SPEAKER_29
transcript.pyannote[2336].start 27888.38159375
transcript.pyannote[2336].end 27893.47784375
transcript.pyannote[2337].speaker SPEAKER_14
transcript.pyannote[2337].start 27904.58159375
transcript.pyannote[2337].end 27908.81721875
transcript.pyannote[2338].speaker SPEAKER_14
transcript.pyannote[2338].start 27909.07034375
transcript.pyannote[2338].end 27910.21784375
transcript.pyannote[2339].speaker SPEAKER_14
transcript.pyannote[2339].start 27910.48784375
transcript.pyannote[2339].end 27911.75346875
transcript.pyannote[2340].speaker SPEAKER_29
transcript.pyannote[2340].start 27912.07409375
transcript.pyannote[2340].end 27914.40284375
transcript.pyannote[2341].speaker SPEAKER_15
transcript.pyannote[2341].start 27922.99221875
transcript.pyannote[2341].end 27923.66721875
transcript.pyannote[2342].speaker SPEAKER_14
transcript.pyannote[2342].start 27924.02159375
transcript.pyannote[2342].end 27932.37471875
transcript.pyannote[2343].speaker SPEAKER_14
transcript.pyannote[2343].start 27932.52659375
transcript.pyannote[2343].end 27998.69346875
transcript.pyannote[2344].speaker SPEAKER_14
transcript.pyannote[2344].start 27999.09846875
transcript.pyannote[2344].end 27999.80721875
transcript.pyannote[2345].speaker SPEAKER_14
transcript.pyannote[2345].start 28000.07721875
transcript.pyannote[2345].end 28072.77471875
transcript.pyannote[2346].speaker SPEAKER_13
transcript.pyannote[2346].start 28073.51721875
transcript.pyannote[2346].end 28075.01909375
transcript.pyannote[2347].speaker SPEAKER_14
transcript.pyannote[2347].start 28075.01909375
transcript.pyannote[2347].end 28075.03596875
transcript.pyannote[2348].speaker SPEAKER_13
transcript.pyannote[2348].start 28075.03596875
transcript.pyannote[2348].end 28075.05284375
transcript.pyannote[2349].speaker SPEAKER_13
transcript.pyannote[2349].start 28075.27221875
transcript.pyannote[2349].end 28082.93346875
transcript.pyannote[2350].speaker SPEAKER_13
transcript.pyannote[2350].start 28083.11909375
transcript.pyannote[2350].end 28143.83534375
transcript.pyannote[2351].speaker SPEAKER_14
transcript.pyannote[2351].start 28144.24034375
transcript.pyannote[2351].end 28156.03596875
transcript.pyannote[2352].speaker SPEAKER_13
transcript.pyannote[2352].start 28156.03596875
transcript.pyannote[2352].end 28163.71409375
transcript.pyannote[2353].speaker SPEAKER_14
transcript.pyannote[2353].start 28164.45659375
transcript.pyannote[2353].end 28183.76159375
transcript.pyannote[2354].speaker SPEAKER_13
transcript.pyannote[2354].start 28174.02471875
transcript.pyannote[2354].end 28174.22721875
transcript.pyannote[2355].speaker SPEAKER_13
transcript.pyannote[2355].start 28183.35659375
transcript.pyannote[2355].end 28204.48409375
transcript.pyannote[2356].speaker SPEAKER_14
transcript.pyannote[2356].start 28204.68659375
transcript.pyannote[2356].end 28235.53409375
transcript.pyannote[2357].speaker SPEAKER_14
transcript.pyannote[2357].start 28235.87159375
transcript.pyannote[2357].end 28236.56346875
transcript.pyannote[2358].speaker SPEAKER_14
transcript.pyannote[2358].start 28236.91784375
transcript.pyannote[2358].end 28261.33596875
transcript.pyannote[2359].speaker SPEAKER_00
transcript.pyannote[2359].start 28255.14284375
transcript.pyannote[2359].end 28255.48034375
transcript.pyannote[2360].speaker SPEAKER_28
transcript.pyannote[2360].start 28261.70721875
transcript.pyannote[2360].end 28261.74096875
transcript.pyannote[2361].speaker SPEAKER_28
transcript.pyannote[2361].start 28262.11221875
transcript.pyannote[2361].end 28269.33471875
transcript.pyannote[2362].speaker SPEAKER_14
transcript.pyannote[2362].start 28268.55846875
transcript.pyannote[2362].end 28269.50346875
transcript.pyannote[2363].speaker SPEAKER_14
transcript.pyannote[2363].start 28269.70596875
transcript.pyannote[2363].end 28270.97159375
transcript.pyannote[2364].speaker SPEAKER_28
transcript.pyannote[2364].start 28271.34284375
transcript.pyannote[2364].end 28274.78534375
transcript.pyannote[2365].speaker SPEAKER_14
transcript.pyannote[2365].start 28271.44409375
transcript.pyannote[2365].end 28272.54096875
transcript.pyannote[2366].speaker SPEAKER_28
transcript.pyannote[2366].start 28275.25784375
transcript.pyannote[2366].end 28285.92284375
transcript.pyannote[2367].speaker SPEAKER_28
transcript.pyannote[2367].start 28286.15909375
transcript.pyannote[2367].end 28291.06971875
transcript.pyannote[2368].speaker SPEAKER_28
transcript.pyannote[2368].start 28291.13721875
transcript.pyannote[2368].end 28297.43159375
transcript.pyannote[2369].speaker SPEAKER_28
transcript.pyannote[2369].start 28297.46534375
transcript.pyannote[2369].end 28299.49034375
transcript.pyannote[2370].speaker SPEAKER_28
transcript.pyannote[2370].start 28299.92909375
transcript.pyannote[2370].end 28302.96659375
transcript.pyannote[2371].speaker SPEAKER_28
transcript.pyannote[2371].start 28303.13534375
transcript.pyannote[2371].end 28308.90659375
transcript.pyannote[2372].speaker SPEAKER_28
transcript.pyannote[2372].start 28309.54784375
transcript.pyannote[2372].end 28314.94784375
transcript.pyannote[2373].speaker SPEAKER_28
transcript.pyannote[2373].start 28315.33596875
transcript.pyannote[2373].end 28316.85471875
transcript.pyannote[2374].speaker SPEAKER_28
transcript.pyannote[2374].start 28317.14159375
transcript.pyannote[2374].end 28319.63909375
transcript.pyannote[2375].speaker SPEAKER_28
transcript.pyannote[2375].start 28319.97659375
transcript.pyannote[2375].end 28321.95096875
transcript.pyannote[2376].speaker SPEAKER_28
transcript.pyannote[2376].start 28322.06909375
transcript.pyannote[2376].end 28324.73534375
transcript.pyannote[2377].speaker SPEAKER_28
transcript.pyannote[2377].start 28325.00534375
transcript.pyannote[2377].end 28327.58721875
transcript.pyannote[2378].speaker SPEAKER_28
transcript.pyannote[2378].start 28327.82346875
transcript.pyannote[2378].end 28334.20221875
transcript.pyannote[2379].speaker SPEAKER_28
transcript.pyannote[2379].start 28334.48909375
transcript.pyannote[2379].end 28336.90221875
transcript.pyannote[2380].speaker SPEAKER_28
transcript.pyannote[2380].start 28337.15534375
transcript.pyannote[2380].end 28339.60221875
transcript.pyannote[2381].speaker SPEAKER_28
transcript.pyannote[2381].start 28339.83846875
transcript.pyannote[2381].end 28351.90409375
transcript.pyannote[2382].speaker SPEAKER_28
transcript.pyannote[2382].start 28352.34284375
transcript.pyannote[2382].end 28357.59096875
transcript.pyannote[2383].speaker SPEAKER_28
transcript.pyannote[2383].start 28357.91159375
transcript.pyannote[2383].end 28359.78471875
transcript.pyannote[2384].speaker SPEAKER_28
transcript.pyannote[2384].start 28359.80159375
transcript.pyannote[2384].end 28363.51409375
transcript.pyannote[2385].speaker SPEAKER_28
transcript.pyannote[2385].start 28363.78409375
transcript.pyannote[2385].end 28364.57721875
transcript.pyannote[2386].speaker SPEAKER_28
transcript.pyannote[2386].start 28365.06659375
transcript.pyannote[2386].end 28371.00659375
transcript.pyannote[2387].speaker SPEAKER_28
transcript.pyannote[2387].start 28371.25971875
transcript.pyannote[2387].end 28375.05659375
transcript.pyannote[2388].speaker SPEAKER_28
transcript.pyannote[2388].start 28375.37721875
transcript.pyannote[2388].end 28376.60909375
transcript.pyannote[2389].speaker SPEAKER_28
transcript.pyannote[2389].start 28376.87909375
transcript.pyannote[2389].end 28380.32159375
transcript.pyannote[2390].speaker SPEAKER_28
transcript.pyannote[2390].start 28380.70971875
transcript.pyannote[2390].end 28381.75596875
transcript.pyannote[2391].speaker SPEAKER_28
transcript.pyannote[2391].start 28382.12721875
transcript.pyannote[2391].end 28386.00846875
transcript.pyannote[2392].speaker SPEAKER_28
transcript.pyannote[2392].start 28386.14346875
transcript.pyannote[2392].end 28393.92284375
transcript.pyannote[2393].speaker SPEAKER_28
transcript.pyannote[2393].start 28394.22659375
transcript.pyannote[2393].end 28401.11159375
transcript.pyannote[2394].speaker SPEAKER_14
transcript.pyannote[2394].start 28401.63471875
transcript.pyannote[2394].end 28408.58721875
transcript.pyannote[2395].speaker SPEAKER_14
transcript.pyannote[2395].start 28408.73909375
transcript.pyannote[2395].end 28409.81909375
transcript.pyannote[2396].speaker SPEAKER_14
transcript.pyannote[2396].start 28410.00471875
transcript.pyannote[2396].end 28434.27096875
transcript.pyannote[2397].speaker SPEAKER_00
transcript.pyannote[2397].start 28414.47659375
transcript.pyannote[2397].end 28414.51034375
transcript.pyannote[2398].speaker SPEAKER_10
transcript.pyannote[2398].start 28414.51034375
transcript.pyannote[2398].end 28414.72971875
transcript.pyannote[2399].speaker SPEAKER_00
transcript.pyannote[2399].start 28414.72971875
transcript.pyannote[2399].end 28414.76346875
transcript.pyannote[2400].speaker SPEAKER_14
transcript.pyannote[2400].start 28434.82784375
transcript.pyannote[2400].end 28449.34034375
transcript.pyannote[2401].speaker SPEAKER_00
transcript.pyannote[2401].start 28442.82659375
transcript.pyannote[2401].end 28442.84346875
transcript.pyannote[2402].speaker SPEAKER_28
transcript.pyannote[2402].start 28442.84346875
transcript.pyannote[2402].end 28443.13034375
transcript.pyannote[2403].speaker SPEAKER_28
transcript.pyannote[2403].start 28449.47534375
transcript.pyannote[2403].end 28455.22971875
transcript.pyannote[2404].speaker SPEAKER_14
transcript.pyannote[2404].start 28449.79596875
transcript.pyannote[2404].end 28450.01534375
transcript.pyannote[2405].speaker SPEAKER_14
transcript.pyannote[2405].start 28455.11159375
transcript.pyannote[2405].end 28457.17034375
transcript.pyannote[2406].speaker SPEAKER_28
transcript.pyannote[2406].start 28455.36471875
transcript.pyannote[2406].end 28455.41534375
transcript.pyannote[2407].speaker SPEAKER_28
transcript.pyannote[2407].start 28455.55034375
transcript.pyannote[2407].end 28456.68096875
transcript.pyannote[2408].speaker SPEAKER_28
transcript.pyannote[2408].start 28456.76534375
transcript.pyannote[2408].end 28462.38471875
transcript.pyannote[2409].speaker SPEAKER_05
transcript.pyannote[2409].start 28457.17034375
transcript.pyannote[2409].end 28457.18721875
transcript.pyannote[2410].speaker SPEAKER_28
transcript.pyannote[2410].start 28462.65471875
transcript.pyannote[2410].end 28470.53534375
transcript.pyannote[2411].speaker SPEAKER_05
transcript.pyannote[2411].start 28464.35909375
transcript.pyannote[2411].end 28464.46034375
transcript.pyannote[2412].speaker SPEAKER_05
transcript.pyannote[2412].start 28464.69659375
transcript.pyannote[2412].end 28464.73034375
transcript.pyannote[2413].speaker SPEAKER_28
transcript.pyannote[2413].start 28470.61971875
transcript.pyannote[2413].end 28471.00784375
transcript.pyannote[2414].speaker SPEAKER_28
transcript.pyannote[2414].start 28471.31159375
transcript.pyannote[2414].end 28472.13846875
transcript.pyannote[2415].speaker SPEAKER_28
transcript.pyannote[2415].start 28472.86409375
transcript.pyannote[2415].end 28473.33659375
transcript.pyannote[2416].speaker SPEAKER_28
transcript.pyannote[2416].start 28473.97784375
transcript.pyannote[2416].end 28477.70721875
transcript.pyannote[2417].speaker SPEAKER_28
transcript.pyannote[2417].start 28477.94346875
transcript.pyannote[2417].end 28481.30159375
transcript.pyannote[2418].speaker SPEAKER_28
transcript.pyannote[2418].start 28481.55471875
transcript.pyannote[2418].end 28487.76471875
transcript.pyannote[2419].speaker SPEAKER_14
transcript.pyannote[2419].start 28488.11909375
transcript.pyannote[2419].end 28490.76846875
transcript.pyannote[2420].speaker SPEAKER_14
transcript.pyannote[2420].start 28491.22409375
transcript.pyannote[2420].end 28501.50096875
transcript.pyannote[2421].speaker SPEAKER_14
transcript.pyannote[2421].start 28502.00721875
transcript.pyannote[2421].end 28512.89159375
transcript.pyannote[2422].speaker SPEAKER_15
transcript.pyannote[2422].start 28512.01409375
transcript.pyannote[2422].end 28518.22409375
transcript.pyannote[2423].speaker SPEAKER_14
transcript.pyannote[2423].start 28514.52846875
transcript.pyannote[2423].end 28514.57909375
transcript.pyannote[2424].speaker SPEAKER_14
transcript.pyannote[2424].start 28518.29159375
transcript.pyannote[2424].end 28518.74721875
transcript.pyannote[2425].speaker SPEAKER_15
transcript.pyannote[2425].start 28518.74721875
transcript.pyannote[2425].end 28527.20159375
transcript.pyannote[2426].speaker SPEAKER_15
transcript.pyannote[2426].start 28527.47159375
transcript.pyannote[2426].end 28531.06596875
transcript.pyannote[2427].speaker SPEAKER_14
transcript.pyannote[2427].start 28527.48846875
transcript.pyannote[2427].end 28527.80909375
transcript.pyannote[2428].speaker SPEAKER_15
transcript.pyannote[2428].start 28531.62284375
transcript.pyannote[2428].end 28532.44971875
transcript.pyannote[2429].speaker SPEAKER_15
transcript.pyannote[2429].start 28532.82096875
transcript.pyannote[2429].end 28534.77846875
transcript.pyannote[2430].speaker SPEAKER_15
transcript.pyannote[2430].start 28535.14971875
transcript.pyannote[2430].end 28536.26346875
transcript.pyannote[2431].speaker SPEAKER_15
transcript.pyannote[2431].start 28536.60096875
transcript.pyannote[2431].end 28538.30534375
transcript.pyannote[2432].speaker SPEAKER_15
transcript.pyannote[2432].start 28538.45721875
transcript.pyannote[2432].end 28539.58784375
transcript.pyannote[2433].speaker SPEAKER_15
transcript.pyannote[2433].start 28540.09409375
transcript.pyannote[2433].end 28541.07284375
transcript.pyannote[2434].speaker SPEAKER_15
transcript.pyannote[2434].start 28541.54534375
transcript.pyannote[2434].end 28542.69284375
transcript.pyannote[2435].speaker SPEAKER_15
transcript.pyannote[2435].start 28543.11471875
transcript.pyannote[2435].end 28545.76409375
transcript.pyannote[2436].speaker SPEAKER_15
transcript.pyannote[2436].start 28545.98346875
transcript.pyannote[2436].end 28547.26596875
transcript.pyannote[2437].speaker SPEAKER_15
transcript.pyannote[2437].start 28548.00846875
transcript.pyannote[2437].end 28550.03346875
transcript.pyannote[2438].speaker SPEAKER_15
transcript.pyannote[2438].start 28550.13471875
transcript.pyannote[2438].end 28558.52159375
transcript.pyannote[2439].speaker SPEAKER_14
transcript.pyannote[2439].start 28555.78784375
transcript.pyannote[2439].end 28556.22659375
transcript.pyannote[2440].speaker SPEAKER_14
transcript.pyannote[2440].start 28558.52159375
transcript.pyannote[2440].end 28558.80846875
transcript.pyannote[2441].speaker SPEAKER_15
transcript.pyannote[2441].start 28558.80846875
transcript.pyannote[2441].end 28563.93846875
transcript.pyannote[2442].speaker SPEAKER_14
transcript.pyannote[2442].start 28560.31034375
transcript.pyannote[2442].end 28560.66471875
transcript.pyannote[2443].speaker SPEAKER_15
transcript.pyannote[2443].start 28564.49534375
transcript.pyannote[2443].end 28565.45721875
transcript.pyannote[2444].speaker SPEAKER_15
transcript.pyannote[2444].start 28565.79471875
transcript.pyannote[2444].end 28568.17409375
transcript.pyannote[2445].speaker SPEAKER_15
transcript.pyannote[2445].start 28568.54534375
transcript.pyannote[2445].end 28571.16096875
transcript.pyannote[2446].speaker SPEAKER_15
transcript.pyannote[2446].start 28571.34659375
transcript.pyannote[2446].end 28574.24909375
transcript.pyannote[2447].speaker SPEAKER_15
transcript.pyannote[2447].start 28574.55284375
transcript.pyannote[2447].end 28577.87721875
transcript.pyannote[2448].speaker SPEAKER_15
transcript.pyannote[2448].start 28578.28221875
transcript.pyannote[2448].end 28579.64909375
transcript.pyannote[2449].speaker SPEAKER_15
transcript.pyannote[2449].start 28580.02034375
transcript.pyannote[2449].end 28581.89346875
transcript.pyannote[2450].speaker SPEAKER_15
transcript.pyannote[2450].start 28582.26471875
transcript.pyannote[2450].end 28584.49221875
transcript.pyannote[2451].speaker SPEAKER_15
transcript.pyannote[2451].start 28584.72846875
transcript.pyannote[2451].end 28586.14596875
transcript.pyannote[2452].speaker SPEAKER_15
transcript.pyannote[2452].start 28586.36534375
transcript.pyannote[2452].end 28594.26284375
transcript.pyannote[2453].speaker SPEAKER_15
transcript.pyannote[2453].start 28594.80284375
transcript.pyannote[2453].end 28602.05909375
transcript.pyannote[2454].speaker SPEAKER_14
transcript.pyannote[2454].start 28601.63721875
transcript.pyannote[2454].end 28640.07846875
transcript.pyannote[2455].speaker SPEAKER_14
transcript.pyannote[2455].start 28640.75346875
transcript.pyannote[2455].end 28644.80346875
transcript.pyannote[2456].speaker SPEAKER_14
transcript.pyannote[2456].start 28645.61346875
transcript.pyannote[2456].end 28690.31534375
transcript.pyannote[2457].speaker SPEAKER_14
transcript.pyannote[2457].start 28690.45034375
transcript.pyannote[2457].end 28744.38284375
transcript.pyannote[2458].speaker SPEAKER_14
transcript.pyannote[2458].start 28744.56846875
transcript.pyannote[2458].end 28792.99971875
transcript.pyannote[2459].speaker SPEAKER_14
transcript.pyannote[2459].start 28793.03346875
transcript.pyannote[2459].end 28797.53909375
transcript.pyannote[2460].speaker SPEAKER_14
transcript.pyannote[2460].start 28798.31534375
transcript.pyannote[2460].end 28803.10784375
transcript.pyannote[2461].speaker SPEAKER_14
transcript.pyannote[2461].start 28804.25534375
transcript.pyannote[2461].end 28806.19596875
transcript.pyannote[2462].speaker SPEAKER_14
transcript.pyannote[2462].start 28806.60096875
transcript.pyannote[2462].end 28807.57971875
transcript.pyannote[2463].speaker SPEAKER_14
transcript.pyannote[2463].start 28807.83284375
transcript.pyannote[2463].end 28809.23346875
transcript.pyannote[2464].speaker SPEAKER_14
transcript.pyannote[2464].start 28810.34721875
transcript.pyannote[2464].end 28815.74721875
transcript.pyannote[2465].speaker SPEAKER_00
transcript.pyannote[2465].start 28815.42659375
transcript.pyannote[2465].end 28815.54471875
transcript.pyannote[2466].speaker SPEAKER_14
transcript.pyannote[2466].start 28816.20284375
transcript.pyannote[2466].end 28828.69034375
transcript.pyannote[2467].speaker SPEAKER_11
transcript.pyannote[2467].start 28816.42221875
transcript.pyannote[2467].end 28816.81034375
transcript.pyannote[2468].speaker SPEAKER_14
transcript.pyannote[2468].start 28864.97159375
transcript.pyannote[2468].end 28865.03909375
transcript.pyannote[2469].speaker SPEAKER_14
transcript.pyannote[2469].start 28865.66346875
transcript.pyannote[2469].end 28866.03471875
transcript.pyannote[2470].speaker SPEAKER_29
transcript.pyannote[2470].start 28876.63221875
transcript.pyannote[2470].end 28881.44159375
transcript.pyannote[2471].speaker SPEAKER_29
transcript.pyannote[2471].start 28884.56346875
transcript.pyannote[2471].end 28888.44471875
transcript.pyannote[2472].speaker SPEAKER_29
transcript.pyannote[2472].start 28888.71471875
transcript.pyannote[2472].end 28904.93159375
transcript.whisperx[0].start 474.838
transcript.whisperx[0].end 496.498
transcript.whisperx[0].text 我只是怕有時候人家會拿錯東西
transcript.whisperx[1].start 497.66
transcript.whisperx[1].end 499.482
transcript.whisperx[1].text 因為有時候你開過去的這個就會被人打這是個人的思維有嗎
transcript.whisperx[2].start 632.079
transcript.whisperx[2].end 633.968
transcript.whisperx[2].text 明镜与点点栏目
transcript.whisperx[3].start 746.886
transcript.whisperx[3].end 766.988
transcript.whisperx[3].text 響鐘
transcript.whisperx[4].start 774.898
transcript.whisperx[4].end 776.16
transcript.whisperx[4].text 3月7日
transcript.whisperx[5].start 812.995
transcript.whisperx[5].end 830.42
transcript.whisperx[5].text 所以讓人家誤會
transcript.whisperx[6].start 838.135
transcript.whisperx[6].end 840.918
transcript.whisperx[6].text 谢谢观看
transcript.whisperx[7].start 904.51
transcript.whisperx[7].end 905.23
transcript.whisperx[7].text 主席
transcript.whisperx[8].start 962.511
transcript.whisperx[8].end 962.551
transcript.whisperx[8].text 來 姐姐
transcript.whisperx[9].start 1060.555
transcript.whisperx[9].end 1062.5
transcript.whisperx[9].text 謝謝 謝謝
transcript.whisperx[10].start 1195.241
transcript.whisperx[10].end 1202.068
transcript.whisperx[10].text OK 拜拜
transcript.whisperx[11].start 1215.725
transcript.whisperx[11].end 1218.968
transcript.whisperx[11].text 響鐘
transcript.whisperx[12].start 1290.333
transcript.whisperx[12].end 1316.186
transcript.whisperx[12].text 響鐘
transcript.whisperx[13].start 1352.005
transcript.whisperx[13].end 1358.217
transcript.whisperx[13].text 響鐘
transcript.whisperx[14].start 1408.746
transcript.whisperx[14].end 1438.166
transcript.whisperx[14].text 響鐘
transcript.whisperx[15].start 1441.203
transcript.whisperx[15].end 1448.899
transcript.whisperx[15].text 響鐘
transcript.whisperx[16].start 1473.729
transcript.whisperx[16].end 1480.52
transcript.whisperx[16].text 響鐘
transcript.whisperx[17].start 1499.821
transcript.whisperx[17].end 1528.746
transcript.whisperx[17].text 響鐘
transcript.whisperx[18].start 1531.318
transcript.whisperx[18].end 1540.483
transcript.whisperx[18].text 謝謝大家
transcript.whisperx[19].start 1568.388
transcript.whisperx[19].end 1571.01
transcript.whisperx[19].text 謝謝大家
transcript.whisperx[20].start 1585.572
transcript.whisperx[20].end 1593.473
transcript.whisperx[20].text 響鐘
transcript.whisperx[21].start 1929.517
transcript.whisperx[21].end 1951.548
transcript.whisperx[21].text 好 總院長 各位閣員早安我們現在進行國事論壇首先請張志仁委員發言 羅志強委員請準備院長 各位同仁 各位媒體朋友大家早安 大家好
transcript.whisperx[22].start 1952.506
transcript.whisperx[22].end 1968.335
transcript.whisperx[22].text 公務員過去被視為穩定保障的鐵飯碗現在卻逐漸失去光環公務體系正面臨全所未見的逃命潮報考人數大幅下降從12年前的15萬人
transcript.whisperx[23].start 1969.495
transcript.whisperx[23].end 1998.133
transcript.whisperx[23].text 瑞捡至今年仅剩8万人离职人数更是暴增到超过40%现在的基层人力严重不足许多人呈现极端过劳甚至有法院新到的书记官全数离职的惨况然而当基层公务员在燃烧生命时我们的高官却在享受特权看看最近北捡牵结的监察院公务车私用案
transcript.whisperx[24].start 1999.193
transcript.whisperx[24].end 2014.688
transcript.whisperx[24].text 監察院前秘書長與多名監委大剌剌的把公務車拿來接送愛犬看牙醫接送親友北檢竟然以他們有自付遊費屬於合理生活範圍以為由認為無圖利背信
transcript.whisperx[25].start 2015.589
transcript.whisperx[25].end 2031.766
transcript.whisperx[25].text 全案輕輕放下請問車輛折舊保養成本以及專屬司機的人力薪資難道不是全民納稅人買單嗎為了只付了屈屈由錢公家的資源就可以變成濫用變成煎尾的私家車嗎
transcript.whisperx[26].start 2033.087
transcript.whisperx[26].end 2051.413
transcript.whisperx[26].text 對照基層公務人員的遭遇過去有祭司騎公務車去公車站被認定為詐欺有小隊者騎車返家被罰了五千元加上法治教育甚至有女警消防局長因為不當使用公務車而被判刑
transcript.whisperx[27].start 2052.318
transcript.whisperx[27].end 2070.738
transcript.whisperx[27].text 北檢輕重高官卻重罰基層公務員坐實了高官能你不能的荒謬雙標此例一開監察院未來如何糾纏百官以正觀真呢監察院的官官相護加上不公不義的體制
transcript.whisperx[28].start 2071.638
transcript.whisperx[28].end 2094.686
transcript.whisperx[28].text 讓基層公務員徹底絕望如今的人力短缺公務員平日夜晚或週末加班已成常態有些機關規定加班費上限甚至只給補休等到年終打烤雞長官愛將年年打假親近人員卻淪為烤雞吃餅的戴罪羔羊
transcript.whisperx[29].start 2095.666
transcript.whisperx[29].end 2101.376
transcript.whisperx[29].text 這些受壓榨的優秀人才只能帶著被消息的熱情 黯然的離開公路職場
transcript.whisperx[30].start 2103.603
transcript.whisperx[30].end 2129.737
transcript.whisperx[30].text 錯誤的政策及司法雙標正持續拖垮國家的正常運作本席在此嚴正要求民進黨政府必須立即檢討這種只辦基層不辦高官的錯誤文化面對公務人員離職大缺工問題要建構友善的職場環境把尊嚴還給全國軍警與公務員這才是國家與全民之福謝謝
transcript.whisperx[31].start 2130.817
transcript.whisperx[31].end 2132.038
transcript.whisperx[31].text 堂堂執政黨把自己活成了動物農莊裡的一頭豬
transcript.whisperx[32].start 2159.79
transcript.whisperx[32].end 2180.104
transcript.whisperx[32].text 何其諷刺 何其可悲1945年歐威爾寫的《動物農莊》裡面描述了一個故事有兩個領導者 兩頭豬一頭叫做雪球 一個叫做拿破崙雪球說 農莊缺電我們要蓋個風車來發電
transcript.whisperx[33].start 2184.929
transcript.whisperx[33].end 2204.782
transcript.whisperx[33].text 拿破仁說這個雪球是叛徒他要背叛我們動物農莊我要把他趕走結果他把雪球趕走了於是拿破仁成為新的領導者一上來三週後立刻宣布動物農莊的朋友們我們要來蓋風車因為動物農莊需要電
transcript.whisperx[34].start 2210.711
transcript.whisperx[34].end 2236.392
transcript.whisperx[34].text 我想問問我們賴清德總統你跟這隻拿破崙這隻豬有什麼不一樣啊我不是人生攻擊也不是做你人生的諷刺你為什麼把自己活成像歐威爾筆下動物農莊裡的拿破崙的這頭豬呢為什麼呢我們可以看到經過這一周民進黨整個非核家園大轉彎
transcript.whisperx[35].start 2238.852
transcript.whisperx[35].end 2266.485
transcript.whisperx[35].text 連歐威爾我相信看到這個場景都會訝異到舌頭掉出來原來他1945年寫的小說竟然在台灣真實版上演國民黨主張重啟核電民進黨怎麼罵核電不安全核廢無解核廢要放在你家好不好支持核電核廢要放在你家啊我是人我反核啊不反核就不是人啊
transcript.whisperx[36].start 2267.978
transcript.whisperx[36].end 2292.845
transcript.whisperx[36].text 這民進黨的神主牌現在賴清德要重啟核電我想請問一下我們的親愛的賴清德總統核廢料要不要放你家今天你就對得起台灣人民所以我們可以看到民進黨這種著是驚飛的例子比比皆是
transcript.whisperx[37].start 2294.54
transcript.whisperx[37].end 2322.042
transcript.whisperx[37].text 國民黨就是一路走來始終如一我非常早就告訴大家全世界減碳優於非核是國際趨勢台灣如果把核電排除掉我們缺乏一個最重要的機載電力的時候電價必漲電力必缺遇到國安級的能源危機的話台灣就會陷入一個困境民進黨不聽啊
transcript.whisperx[38].start 2323.815
transcript.whisperx[38].end 2332.746
transcript.whisperx[38].text 現在要轉彎了要轉彎可以跟國民黨說一聲謝謝要轉彎可以跟台灣人民說一聲對不起謝謝
transcript.whisperx[39].start 2351.533
transcript.whisperx[39].end 2368.307
transcript.whisperx[39].text 院長 各位同仁還有各位媒體朋友大家好護理人員任職於醫院通常會跟醫院簽訂不定期勞動契約護理人員如果要離職依照勞基法的規定預告雇主就可以離職了
transcript.whisperx[40].start 2369.688
transcript.whisperx[40].end 2389.618
transcript.whisperx[40].text 但是醫院僱主害怕護理人員離職所以會寄出最低年限寄違約金條款來約束護理人員的離職自由什麼叫最低年限寄違約金條款就是舉例在勞動契約簽訂一條護理人員要任職滿兩年
transcript.whisperx[41].start 2390.638
transcript.whisperx[41].end 2403.911
transcript.whisperx[41].text 如果沒有任職滿兩年就離職要賠償相當於兩個月薪水的違約金很多護理人員做不滿兩年就要離職為了能順利離職也只好任賠了事
transcript.whisperx[42].start 2405.692
transcript.whisperx[42].end 2434.434
transcript.whisperx[42].text 護理人員有自由離職的權利但是僱主並非沒有以最低年限即違約金條款來約束護理人員離職自由的權限但是你要以違約金條款來約束護理人員離職自由必須你的違約金條款要經過合理性跟必要性的檢驗如果沒有經過合理性跟必要性的檢驗那麼這樣的違約金條款就是無效的違約金條款
transcript.whisperx[43].start 2435.214
transcript.whisperx[43].end 2455.449
transcript.whisperx[43].text 那麼什麼叫做違約金條款的必要性所謂必要性就是雇主要付出相當的費用讓護理人員成為不可替代的人選而護理人員驟然離職會造成雇主的損失這時候雇主的利益才有以違約金條款來保障的必要
transcript.whisperx[44].start 2456.149
transcript.whisperx[44].end 2470.561
transcript.whisperx[44].text 然而什麼叫做合理性合理性是指雇主所付出的訓練費用必須跟約束勞工的離職自由年限要相當如果不相當就不符合所謂的合理性
transcript.whisperx[45].start 2471.562
transcript.whisperx[45].end 2486.708
transcript.whisperx[45].text 然而在醫護的職場上醫院僱主通常都沒有付出相當的費用來讓護理人員成為不可替代的人選所以護理人員的驟然離職並不會造成僱主的損失所以僱主以違約金條款來約束
transcript.whisperx[46].start 2487.868
transcript.whisperx[46].end 2508.035
transcript.whisperx[46].text 護理人員的離職自由並不符合必要性那如果不符合必要性當然就更遑論所謂的合理性所以我在這邊要呼籲我們的護理同仁雖然你簽了違約金條款但是你未必要賠償為什麼未必要賠償因為你所簽的最低服務年限即違約金條款未必
transcript.whisperx[47].start 2508.775
transcript.whisperx[47].end 2537.361
transcript.whisperx[47].text 未必符合必要性跟合理性的要件所以你簽的違約金條款有可能是無效的違約金條款最後雇主有濫用違約金條款約束護理人員離職自由的現象在臨床實務但沒有相對應罰則我們呼籲主管機關能夠建立相對應的罰則以上謝謝好謝謝邱惠如委員的發言接下來我們請最後一位發言林倩琦委員請發言
transcript.whisperx[48].start 2551.075
transcript.whisperx[48].end 2567.592
transcript.whisperx[48].text 院長、府會同仁、媒體朋友、全國民眾大家好能源安全與淨零碳排非核家園不該綁架台灣賴清的總統已經表態來重啟核電卓榮泰院長也直言非核家園不是省主牌然而行政院至今
transcript.whisperx[49].start 2568.292
transcript.whisperx[49].end 2587.441
transcript.whisperx[49].text 還沒有正面回應是否要檢討相關法制本席今天要指出的是當世界早已轉向台灣在原地踏步了許久這已經是很大的戰略風險首先呢從國際趨勢來看核能早已重新被定位為能源安全與淨零轉型的關鍵工具
transcript.whisperx[50].start 2588.661
transcript.whisperx[50].end 2607.23
transcript.whisperx[50].text 日本近期重啟全球最大的核電廠並推動延長機組的壽命那日本內閣也意識到中東局勢的升溫天然氣價格的波動以及AI資料中心帶動的電力需求暴增沒有穩定的機載電力就沒有產業的競爭力更沒有能源安全
transcript.whisperx[51].start 2608.24
transcript.whisperx[51].end 2627.706
transcript.whisperx[51].text 歐盟執委會Vanderley女士也在3月初指出歐洲過去降低核能比例是一項戰略性錯誤過度依賴進口的燃料使得整體經濟暴露於高風險之中歐盟更預備投入資金來推動小型模組化反應爐
transcript.whisperx[52].start 2628.706
transcript.whisperx[52].end 2646.84
transcript.whisperx[52].text 正式的宣告了核能復興已經是全球的趨勢而我國在非核家園人在環境基本法跟氣候變遷因應法當中以法律自我設限這樣子的制度設計使得政策缺乏彈性也與國際的趨勢脫節
transcript.whisperx[53].start 2649.722
transcript.whisperx[53].end 2676.074
transcript.whisperx[53].text 台灣高度依賴進口能源那一旦地緣政治衝突升高油價天然氣的價格都會升高供應鏈中斷也可能成為很大的一個風險那麼也會直接衝擊到電力的穩定跟民生物資當AI半導體先進製程持續擴張電力需求只會上升不會下降如果沒有穩定低碳跟可預期的電力來源台灣如何維持全球供應鏈的關鍵地位
transcript.whisperx[54].start 2677.455
transcript.whisperx[54].end 2705.433
transcript.whisperx[54].text 本席在此呼籲政府應該儘速調整能源政策的一個方針第一行政院應該儘速來嚴謹修正環境基本法跟氣候變遷因應法當中非核家園的相關條文甚將立法院跟各委員會版本來並按審議還給能源政策應該有的彈性空間第二我們要務實地檢討核能的定位把它納入能源轉型的工具之一與再生能源儲能的系統
transcript.whisperx[55].start 2706.093
transcript.whisperx[55].end 2732.951
transcript.whisperx[55].text 共同构成多元且穩定的電力結構整體而言當民主夥伴國家們已經用行動來證明核能是能源安全與經營轉型的重要支柱我們也必須要在這當中趕快把我們的優勢找回來能源政策不要再受意識形態的牢籠所困我們要趕快面對現實來做出正確的選擇現在就是檢討非核家園重新佈局能源戰略的關鍵時刻
transcript.whisperx[56].start 2734.94
transcript.whisperx[56].end 2754.743
transcript.whisperx[56].text 好 謝謝林健齊委員的發言 謝謝我們登記國事論壇發言的委員已經發言完畢請各黨團幹部上午4點自主席辦公室議場後方我們來進行本次會議議程的溝通謝謝李玉琳委員 謝謝鍾嘉斌委員陪同我們一起參與今天的國事論壇 現在休息
transcript.whisperx[57].start 5426.121
transcript.whisperx[57].end 5444.398
transcript.whisperx[57].text 好 報告委員 我們現在請民主黨報告出席人數報告委員會出席委員76人已足法定人數我們現在開會 本次會議的議程有待溝通請各黨團幹部在這拜託大家到議場後方主席辦公室我們來進行溝通 現在休息
transcript.whisperx[58].start 7274.315
transcript.whisperx[58].end 7276.945
transcript.whisperx[58].text 抱怨會我們現在開始繼續開會先處理朝野黨團協商結論請議事院宣讀
transcript.whisperx[59].start 7281.769
transcript.whisperx[59].end 7309.901
transcript.whisperx[59].text 立法院黨團協商結論時間115年3月27日星期五上午實施地點議場主席辦公室決定事項一 各黨團同意4月7日星期二與3月27日星期五31日星期二合併為一次會議4月7日進行委員個人質詢內政組織質詢當次會議不處理臨時提案主持人韓國瑜協商代表傅坤祺 林佩祥 徐宇貞蔡其昌 莊瑞雄 范雲陳清隆 王安祥 邱慧如宣讀完畢
transcript.whisperx[60].start 7311.997
transcript.whisperx[60].end 7335.843
transcript.whisperx[60].text 请问院会对以上朝野党团协商结论有无异议?没有异议,我们通过115年3月27日朝野党团协商,经决定如下。各党团同意4月7日星期二与3月27日星期五、31日星期二合并为一次会议,4月7日进行委员个人咨询内政组织咨询。
transcript.whisperx[61].start 7337.057
transcript.whisperx[61].end 7346.228
transcript.whisperx[61].text 當次會議我們不再處理臨時提案報言會一場二樓龐丁來自台南大學EMBA的同學我們掌聲歡迎各位同學
transcript.whisperx[62].start 7349.492
transcript.whisperx[62].end 7371.953
transcript.whisperx[62].text 因為程序委員會本次會議的議事日程草案送院會處理現在有黨團依照本院議事成立對本次會議議事日程草案提出異議我們現在進行處理並截止收案現在黨團共識如下一議程草案確認 循例一提案先後進行處理二新增一般提案有三案
transcript.whisperx[63].start 7372.987
transcript.whisperx[63].end 7400.132
transcript.whisperx[63].text 均不做提案說明大體討論各案由各黨團推派一位委員發言每人發言時間為三分鐘發言完畢之後依題進行表決三 今日上午院會進行自討論事項處理完畢即休息下午進行施政質詢議程四 下週二院會繼續進行施政質詢我們先進行報告事項部分
transcript.whisperx[64].start 7404.078
transcript.whisperx[64].end 7428.635
transcript.whisperx[64].text 我們本次會議會後續就依照黨團共識來進行我們先進行報告事項部分請議事人員宣讀黨團題內容本院民進黨黨團針對立法院第十一屆第五會期第五次會議議事成報告事項擬請增列36案如覆表請依照議事成草案所列報告事項質詢事項其對行政院院長提出施政方針及施政報告繼續質詢是否有當進行公決
transcript.whisperx[65].start 7429.475
transcript.whisperx[65].end 7449.856
transcript.whisperx[65].text 本院台灣民眾黨黨團針對第十一屆第五會期第五次會議議程報告事項質詢事項及對習近平院長提出施政方針及施政報告繼續質詢提議議程草案報告事項第十九案不予列案並僅限列其餘議程草案及效表所列第六十二案是否有當進行公決
transcript.whisperx[66].start 7450.937
transcript.whisperx[66].end 7469.47
transcript.whisperx[66].text 本院國務黨黨團針對第十一屆第五會期第五次會議議程報告事項諮詢事項其對行政院院長提出施政方針及施政報告繼續諮詢提議僅限列除議程草案第十九案外其餘議程草案及下表所列六十二案是否有當進行公決宣言完畢
transcript.whisperx[67].start 7901.428
transcript.whisperx[67].end 7911.774
transcript.whisperx[67].text 好 按鈴時間已到 請問各位委員是否都有拿到表決卡好 我們要開始進行表決針對民進黨黨團提議進行表決現在民進黨團要求記名表決贊成民進黨黨團提議 請按贊成反對 按反對時間一分鐘 現在開始
transcript.whisperx[68].start 8001.692
transcript.whisperx[68].end 8007.458
transcript.whisperx[68].text 好,謝謝我們來報告報告表決結果報告表決結果
transcript.whisperx[69].start 8014.062
transcript.whisperx[69].end 8034.482
transcript.whisperx[69].text 向院會報告表決結果出席107位委員贊成49位委員反對58位委員贊成者少數民進黨黨團提議不通過部委會我們進行處理台灣民眾黨團僅限列之提議因為國民黨團之提議與該黨團提議相同我們一併進行處理
transcript.whisperx[70].start 8040.998
transcript.whisperx[70].end 8068.095
transcript.whisperx[70].text 請問議員會針對台灣民眾黨團國民黨團提議通過有無異議有無異議有異議我們要進行表決我們現在針對台灣民眾黨團國民黨團提議進行表決現在民進黨團要求記名表決我們開始進行記名表決贊成台灣民眾黨團國民黨團提議請按贊成反對按反對時間一分鐘現在開始
transcript.whisperx[71].start 8140.032
transcript.whisperx[71].end 8142.655
transcript.whisperx[71].text 報告表決結果出席108位委員贊成59位反對49位贊成者多數台灣民眾黨團、國民黨團提議照案通過幫議會張家俊委員發表聲明
transcript.whisperx[72].start 8154.287
transcript.whisperx[72].end 8165.358
transcript.whisperx[72].text 剛才的表決與國民黨團意見一致,我們列入公報記錄本次會議議事事成報告事項,質詢事項及對行政院院長施政報告繼續質詢,照台灣民眾黨團國民黨團體通過我們繼續處理討論事項部分
transcript.whisperx[73].start 8176.431
transcript.whisperx[73].end 8178.713
transcript.whisperx[73].text 現在處理台灣民眾黨團僅限列之提議因為國民黨團提議與該黨團提議相同我們一併進行處理請議事人員一併宣讀提議內容
transcript.whisperx[74].start 8186.601
transcript.whisperx[74].end 8211.329
transcript.whisperx[74].text 本院台灣民眾黨黨團針對第十一屆第五會期第五次會議議事程討論事項建請警協列案如下表散案並於對協政院長提出施政方針及施政報告繼續質詢前處理是否有道進行公決本院國民黨黨團針對第十一屆第五會期第五次會議議事程討論事項建請警協列案如下表散案
transcript.whisperx[75].start 8212.089
transcript.whisperx[75].end 8219.554
transcript.whisperx[75].text 並於對行政院長提出施政方針及施政報告繼續質詢前處理是否有道進行公決宣讀完畢
transcript.whisperx[76].start 8229.799
transcript.whisperx[76].end 8235.788
transcript.whisperx[76].text 現在針對台灣民眾黨團國民黨團提議我們要進行表決民進黨團要求記名表決我們開始進行記名表決贊成台灣民眾黨團國民黨團提議請按贊成反對按反對時間一分鐘現在開始
transcript.whisperx[77].start 8316.718
transcript.whisperx[77].end 8317.95
transcript.whisperx[77].text 抱怨會報告表決結果
transcript.whisperx[78].start 8323.135
transcript.whisperx[78].end 8341.865
transcript.whisperx[78].text 報告表決結果在場出席為109位贊成59位反對50位贊成者多數台灣民眾黨團國民黨團提議照案通過本次會議議事程討論事項照台灣民眾黨團國民黨團提議通過報告本次會議議程就照台灣民眾黨團國民黨團提議及協商結論通過本次會議議事程確定我們現在進行報告事項
transcript.whisperx[79].start 8352.592
transcript.whisperx[79].end 8354.459
transcript.whisperx[79].text 請秘書長宣讀第五會期第四會議議事錄
transcript.whisperx[80].start 8356.946
transcript.whisperx[80].end 8386.552
transcript.whisperx[80].text 宣讀立法院第十一屆第五會期第四次會議議事錄時間中華民國一百十五年三月二十四日地點本院議場出席委員換委員允等一百十三年內席官員行政院長卓榮泰等主席院長韓國瑜副院長江啟臣報告事項第一案宣讀本院第十一屆第五會期第三次會議議事錄決定確定第二次一百七十案其中第一百二十九案為本院委員歐小玲
transcript.whisperx[81].start 8388.133
transcript.whisperx[81].end 8409.856
transcript.whisperx[81].text 審判會當選第十一屆第五會期程序委員會召集委員第138至141、173案均決定進獲讀與相關提案並按協商其一案均決定交付相關委員會審查處理或交付相關委員會處刑事項本院委員處刑部門一件
transcript.whisperx[82].start 8410.836
transcript.whisperx[82].end 8428.025
transcript.whisperx[82].text 討論事項第一二案均決議交互黨團協商對行政院院長提出施政方針及施政報告繼續執行決定下次會議繼續進行施政方針及施政報告之執行其他事項本次會議事項則照台灣民眾黨黨團國民黨黨團提議通過宣讀完畢
transcript.whisperx[83].start 8433.609
transcript.whisperx[83].end 8434.51
transcript.whisperx[83].text 我們現在處理爭議的部分請宣讀第一案
transcript.whisperx[84].start 8455.401
transcript.whisperx[84].end 8463.587
transcript.whisperx[84].text 1.委員黃建豪等領據海關進口說則部分說則修正草案離交財政委員會審查宣言完畢2.
transcript.whisperx[85].start 8463.587
transcript.whisperx[85].end 8471.112
transcript.whisperx[85].text 委員翁小林等領據有限廣播電視法第四條基地五十八條條文修正草案離交交通委員會審查宣言完畢3.
transcript.whisperx[86].start 8471.112
transcript.whisperx[86].end 8478.117
transcript.whisperx[86].text 委員翁小林等領據廣播電視法第五條基地四十四條修正草案離交交通委員會審查宣言完畢
transcript.whisperx[87].start 8478.917
transcript.whisperx[87].end 8506.858
transcript.whisperx[87].text 四 委員吳曉琳的凝聚律師法增添第35條 虛擬條文草案 立交司法及法律委員會審查 宣言完畢五 委員盧憲毅的凝聚兒童欺少年福利與權益保障法部分條文修正草案 立交社會福利及衛生環境委員會審查 宣言完畢六 委員盧憲毅的凝聚就業保險法部分條文修正草案 立交社會福利及衛生環境委員會審查 宣言完畢七 委員鄭年才的凝聚就業保險法部分條文修正草案 立交社會福利及衛生環境委
transcript.whisperx[88].start 8508.599
transcript.whisperx[88].end 8509.96
transcript.whisperx[88].text 委員通過審議委員通過審議委員通過審議
transcript.whisperx[89].start 8526.252
transcript.whisperx[89].end 8533.442
transcript.whisperx[89].text 10.委員賴世寶等你廢止 行政院農業務委員會 組織條例 擬交司法及法制經濟 良好委員會審查 宣達定11.
transcript.whisperx[90].start 8533.442
transcript.whisperx[90].end 8540.211
transcript.whisperx[90].text 委員賴世寶等你廢止 行政院農業務委員會 稅務保持局組織法 擬交司法及法制經濟 良好委員會審查 宣達定12.
transcript.whisperx[91].start 8540.211
transcript.whisperx[91].end 8540.592
transcript.whisperx[91].text 委員賴世寶等你廢止
transcript.whisperx[92].start 8543.235
transcript.whisperx[92].end 8551.697
transcript.whisperx[92].text 行政院農業委員會農業金融局組織條例 禮教司法及法治經濟良緣或審查 宣布完畢五一通過 下言十四 委員會農業委員會漁業署組織條例 禮教司法及法治經濟良緣或審查 宣布完畢五一通過 下言
transcript.whisperx[93].start 8566.801
transcript.whisperx[93].end 8567.741
transcript.whisperx[93].text 委員會審查委員會審查委員會審查委員會審查委員會審查
transcript.whisperx[94].start 8591.832
transcript.whisperx[94].end 8592.052
transcript.whisperx[94].text 吳亦彤國昌憲
transcript.whisperx[95].start 8608.983
transcript.whisperx[95].end 8621.63
transcript.whisperx[95].text 二十一委員 羅思祥 等你去就業保險法部份條文修正草案你將身為福利及衛生環境委員會審查 許可畢二十二委員 吳聰憲 等你去就業保險法第十九條 居然條文修正草案你將身為福利及衛生環境委員會審查 許可畢
transcript.whisperx[96].start 8630.055
transcript.whisperx[96].end 8657.92
transcript.whisperx[96].text 六十三 委員羅廷偉等你據 公務稅條例第十二條條文修正常案你將由財政委員會審查 詢問筆六十四 委員羅廷偉等你據 優惠教育及照顧法第七條條文修正常案你將由教育及文化社會福利及衛生環境人員委員會審查 詢問筆六十五 委員羅廷偉等你據 律師法增提第三十五條是一條文常案你將由司法及法律委員會審查 詢問筆六十六 委員羅廷偉等你據 海洋委員會海巡署組織法第三條及第十一條條文修正常案
transcript.whisperx[97].start 8658.48
transcript.whisperx[97].end 8659.9
transcript.whisperx[97].text 我一同我宣言我一同我宣言
transcript.whisperx[98].start 8676.405
transcript.whisperx[98].end 8677.246
transcript.whisperx[98].text 五一統合宣言五一統合宣言
transcript.whisperx[99].start 8693.399
transcript.whisperx[99].end 8717.246
transcript.whisperx[99].text 31 委員徐曉信能具 少年事件處理法第27條及第81條條文修正草案 禮教司法及法治委員會審查不依同我宣言32 委員徐曉信能具 國民聯金法部份條文修正草案 禮教社會福利及衛生環境委員會審查不依同我宣言33 委員徐曉信能具 兒童及少年福利與權益保障法第27條條文修正草案 禮教社會福利及衛生環境委員會審查不依同我宣言
transcript.whisperx[100].start 8717.586
transcript.whisperx[100].end 8742.066
transcript.whisperx[100].text 三十四 委員林俊憲的理據 中華民國刑法第八十條條文修正常案 禮教司法及法制 委員會審查 宣傳並三十五 委員林俊憲的理據 中華民國刑法事實刑法第八條之二條文修正常案 禮教司法及法制 委員會審查 宣傳並三十六 委員林俊憲的理據 兒童及少年性博學防制條例 增定第五十三條主要條文常案 禮教社會福利及環境司法及法治 兩委員會審查 宣傳並
transcript.whisperx[101].start 8742.967
transcript.whisperx[101].end 8765.9
transcript.whisperx[101].text 三十七 委員王振旭等領據 所得稅法第十七條條文 修正草案你將財政委員會審查 我已通過審案三十八 委員王振旭等領據 國民年金法部份條文 修正草案你將社會福利及衛生環境委員會審查 我已通過審案三十九 委員王振旭等領據 性別平等工作法第十六條及第十九條條文 修正草案你將社會福利及衛生環境委員會審查 我已通過審案
transcript.whisperx[102].start 8767.5
transcript.whisperx[102].end 8794.429
transcript.whisperx[102].text 40 委員李坤誠的凝聚 發展觀光條例部分條文修正草案 擬交交通委員會審查 順利完畢41 委員李坤誠的凝聚 資管防守法修正草案 擬交司法及法治委員會審查 順利完畢42 委員王美惠的凝聚 中華民國新法第八條條文修正草案 擬交司法及法治委員會審查 順利完畢43 委員王美惠的凝聚 中華民國新法實行法第八條書二條文修正草案 擬交司法及法治委員會審查 順利完畢
transcript.whisperx[103].start 8796.249
transcript.whisperx[103].end 8813.762
transcript.whisperx[103].text 44.委員王美惠的凝聚,海洋委員會海巡署主審法第3條及第11條條文宣任草案,擬交司法及法制內閣兩委員會審查,宣批。45.委員王美惠的凝聚,就業保險法第11條、第17條及第19條、13條文宣任草案,擬交司會服理及衛生環境委員會審查,宣批。
transcript.whisperx[104].start 8814.582
transcript.whisperx[104].end 8834.474
transcript.whisperx[104].text 四十六委員 黃潔仁理據 森林法部門條文修正草案 禮交經濟委員會審查 宣傳文憑四十七委員 黃潔仁理據 犯罪被害人權益保障法第六十三條及第一百條條文修正草案 禮交司法及法治委員會審查 宣傳文憑四十八委員 黃潔仁理據 國民聯金法部門條文修正草案 禮交社會福利及衛生環境委員會審查 宣傳文憑
transcript.whisperx[105].start 8836.315
transcript.whisperx[105].end 8856.763
transcript.whisperx[105].text 四十九 臺灣民眾黨黨團聯聚 臺灣各家語言發展法常任 理教內政委員會審查 宣告完畢五十 臺灣民眾黨黨團聯聚 所得稅法第十七條條務修正常任 理教財政委員會審查 宣告完畢五十一 臺灣民眾黨黨團聯聚 救世法第二十五條及第五十三條條務修正常任 理教教育局文化委員會審查 宣告完畢五十一 臺灣民眾黨黨團聯聚 救世法第二十五條及第五十三條條務修正常任 理教教教育局文化委員會審查 宣告完畢五十一 臺灣民眾
transcript.whisperx[106].start 8857.963
transcript.whisperx[106].end 8885.853
transcript.whisperx[106].text 五十二 台湾民众党的团体区 当选法第35条条文修正常案 拟交与教育法第2条及第50方条条文修正常案 拟交与教育法第2条及第50方条条文修正常案 拟交与教育法第2条及第50方条条文修正常案 拟交与教育法第2条及第50方条条文修正常案 拟交与教育法第2条及第50方条条文修正常案 拟交与教育法第2条及第50方条条文修正常案 拟交与教育法第2条及第50方条条文修正常案 拟交与教育法第2条及第50
transcript.whisperx[107].start 8886.633
transcript.whisperx[107].end 8909.582
transcript.whisperx[107].text 五十六 臺灣民眾黨黨團體廢止內政務一件署組織條例 擬交司法及法制內政兩委員會審查 宣告立五十七 臺灣民眾黨黨團體廢止內政務一件署組織法 擬交司法及法制內政兩委員會審查 宣告立五十八 臺灣民眾黨黨團體局 交涉待遇條例第十九條及第二十六條 條文修正常案 擬交司法及法制教育檢控法 聯委員會審查 宣告立
transcript.whisperx[108].start 8910.422
transcript.whisperx[108].end 8933.698
transcript.whisperx[108].text 五十九 台湾民众脑脑团聚 交易部提出组审法 理交司司法及法治交易计划 联合委员会审查 宣传对五一通过宣言六十一 台湾民众脑脑团聚 劳动基础法第七十九条 联合委员会审查 宣传对五一通过宣言六十一 台湾民众脑脑团聚 劳动基础法第七十七条 集体七十五条 联合委员会审查 宣传对五一通过宣言
transcript.whisperx[109].start 8936.9
transcript.whisperx[109].end 8941.082
transcript.whisperx[109].text 本次會議報告事項記載於議事處順序授權議事處進行調整我們現在要繼續進行處理遠列報告事項報告院會現在在議場二樓貴賓席來自日本島根縣縣議會的議員參訪團我們掌聲歡迎
transcript.whisperx[110].start 8970.08
transcript.whisperx[110].end 8998.021
transcript.whisperx[110].text 我們現在請宣讀第二案二 委員張志倫的領據保全業法第十條是一條文修正常案 禮教內政委員會審查 宣讀完畢三 委員廖憲祥的領據所得宣法第十七條條文修正常案 禮教財政委員會審查 宣讀完畢四 委員廖憲祥的領據停車場法第十七條是一條文修正常案 禮教交通委員會審查 宣讀完畢五 委員廖憲祥的領據川普法第十一條及第八十一條條文修正常案 禮教交通委員會審查 宣讀完畢
transcript.whisperx[111].start 8998.721
transcript.whisperx[111].end 9027.942
transcript.whisperx[111].text 六 委員廖先生的理據 專業保險法第十九條 十二條維修正常案 禮教育社會福利及衛生環境委員會審查七 委員王宏偉等理據 專科學校法第四十四條 維修正常案 禮教育教育局委員會審查八 委員王宏偉等理據 大學法第三十五條 維修正常案 禮教育教育局委員會審查 宣言完畢九 委員王宏偉等理據 高級中等教育法第五十八條 維修正常案 禮教育教育局委員會審查 宣言完畢
transcript.whisperx[112].start 9029.858
transcript.whisperx[112].end 9042.075
transcript.whisperx[112].text 無意通過我們補宣告甄列第62案無意通過報告委員會我們現在在議場二樓旁聽了來自台北市市立大學的同學們我們掌聲歡迎
transcript.whisperx[113].start 9047.335
transcript.whisperx[113].end 9050.098
transcript.whisperx[113].text 第四案無疑通過宣言無疑通過宣言無疑通過宣言
transcript.whisperx[114].start 9068.135
transcript.whisperx[114].end 9096.213
transcript.whisperx[114].text 十三 委員充加併等人據詐欺犯罪危害方式條例第八條第十三屬四條及第三十五條條文修正草案禮教內政委員會審查十四 委員充加併等人據發展觀光條例部分條文修正草案禮教交通委員會審查十五 委員充加併等人據勞工推銷金條例第二十三條條文修正草案禮教社會福利優勝環境委員會審查十六 委員零出分等人據專業保險法第十一條第二十條及第二十五條條文修正草案
transcript.whisperx[115].start 9096.633
transcript.whisperx[115].end 9099.775
transcript.whisperx[115].text 第十九案方才已經確認議程我們不予列案請繼續宣讀第二十案
transcript.whisperx[116].start 9124.349
transcript.whisperx[116].end 9145.143
transcript.whisperx[116].text 二十一委員林楚穎等聆聚銀行法第十二條之一集第五十二條條維修正常案禮交財政委員會審查宣傳庭二十一委員林楚穎等聆聚議事案及正義宣發部分條維修正常案禮交財政委員會審查宣傳庭二十二委員林楚穎等聆聚國民典運法第二條第三條集第四十四條條維修正常案禮交教務局王化委員會審查宣傳庭二十一委員林楚穎等聆聚
transcript.whisperx[117].start 9145.603
transcript.whisperx[117].end 9148.444
transcript.whisperx[117].text 我已通過下言我已通過下言我已通過下言我已通過下言
transcript.whisperx[118].start 9172.529
transcript.whisperx[118].end 9188.057
transcript.whisperx[118].text 有实际委员中愿手等你去跟从首脑防治法第二条及第四条的无休生草案你将内居人身为腐敌的环境两位有费审查我已通过下言我使法委员中愿手等你去不明体育法部门条无休生草案你将用这物品往后有费审查我已通过下言
transcript.whisperx[119].start 9188.337
transcript.whisperx[119].end 9190.498
transcript.whisperx[119].text 無疑通過下言無疑通過下言無疑通過下言
transcript.whisperx[120].start 9217.714
transcript.whisperx[120].end 9222.478
transcript.whisperx[120].text 三十四 委員審判會的理據海洋運動會海巡署組織法第3條及第11條條文修正草案禮教司法及法治內政兩委員會審查
transcript.whisperx[121].start 9233.726
transcript.whisperx[121].end 9263.279
transcript.whisperx[121].text 三十六委員審判會的領據陸海公區刑法第二十四條條文修正常案禮教司法及法治 衛教及國防 聯邦委員會審查請你完畢三十六委員審判會的領據衛生福利部 組織法第二條 第五條 基地一般條條文修正常案禮教司法及法治 社會福利及安全環境 聯邦委員會審查請你完畢抱怨會第三十六案現在由民進黨黨團提議淨富二讀與相關提案並案協商請院會有異議面議本案淨富二讀與相關提案並案協商 下議案
transcript.whisperx[122].start 9263.703
transcript.whisperx[122].end 9284.183
transcript.whisperx[122].text 三十七 委員審判會的理據 衛生福利部而授及江寧政治署組織方查案 領交司法及凡事社會福利及衛生環境難問委員會審查 宣言完畢報告議案第三十七案現在由民進黨黨團提議禁服二讀與相關提案並案協商請問院會有無異議沒有異議本案禁服二讀與相關提案並案協商 下議案
transcript.whisperx[123].start 9284.608
transcript.whisperx[123].end 9304.635
transcript.whisperx[123].text 三十八 委員審判會 等於具五項安理要科技評估中心事實條例採任 理教四份及法治 社會福利及衛生環境的兩項擁護審查 宣布完畢報告議會 第三十八案現在由民進黨黨團體 金富二讀與相關提案並案協商請願會有異議沒有異議 本案金富二讀與相關提案並案協商 下一案
transcript.whisperx[124].start 9305.188
transcript.whisperx[124].end 9324.712
transcript.whisperx[124].text 三十九 原审判会的邻居 卫生福利部长期受雇及社会发展署组织了掌案 离交司反射社会福利及卫生环境 两位委员会审查 宣传会议会议会议会议 第三十九案 民进党团提议进复二读 相关提案 并按协商 请问会议会有无议没有议 本案进复二读 相关提案 并按协商 下一案
transcript.whisperx[125].start 9325.259
transcript.whisperx[125].end 9325.76
transcript.whisperx[125].text 歡迎回第40案 民進黨團體
transcript.whisperx[126].start 9338.191
transcript.whisperx[126].end 9366.552
transcript.whisperx[126].text 进一步二度相关提案并案协商请愿意有意愿意本案进一步二度相关提案并案协商下议四十一委员陈少敏的领据公司法第十三条条文修正常案你交司法及法治委员会审查无意通过下议四十二委员令一进的领据原住民族传统智慧创作保护条例部分条文修正常案你交内政委员会审查无意通过下议四十三委员令一进的领据中华民国新法第八十条条文修正常案你交司法及法治委员会审查无意通过下议
transcript.whisperx[127].start 9367.433
transcript.whisperx[127].end 9382.931
transcript.whisperx[127].text 44.委员令引起能力据中华民国新法第211条及第212条条文修正常案离交司法及法治委员会审查委员令引起能力据刑事诉讼法在内第361条之一条文常案离交司法及法治委员会审查委员令引起能力据
transcript.whisperx[128].start 9383.371
transcript.whisperx[128].end 9410.474
transcript.whisperx[128].text 四十九 五月二零一几 等邻居 儿童及少年性不屑防治条例 增添第五十三条之二条文草案 离交社会福利及华盛环境司法及法治 联网委员会审查 宣传完毕四十九 五月二零一几 等邻居 国民年金法第五十四条之一条文修正草案 离交社会福利及华盛环境委员会审查 宣传完毕四十八 内政部修正 国有耕地与放零实施办法 离交内政委员会 宣传完毕四十九 外交部还赠无辜于日本 输定
transcript.whisperx[129].start 9411.034
transcript.whisperx[129].end 9422.464
transcript.whisperx[129].text 修訂之 關於實施台日打工度假簽證措施部分內容中日文本 換含約文 擬交外交及國防委員會 宣布完畢無異通過 宣揚無異通過 宣揚
transcript.whisperx[130].start 9437.637
transcript.whisperx[130].end 9460.644
transcript.whisperx[130].text 五十一经济募修正度量衡器行使认证管理办法第四条文 离交经济委员会 宣传完毕五十二经济募修正度量衡液应被绝对度量衡标准器及追溯检浇机构部分规定 离交经济委员会 宣传完毕五十三经济募修正冲击节约会费收费办法第21条第23条文及第28条副表3 离交经济委员会
transcript.whisperx[131].start 9462.065
transcript.whisperx[131].end 9478.881
transcript.whisperx[131].text 五十四 農業部修正公告美國威斯康星州 俄亥州為高病原性價錢流失性感冒肺疫區 領交經濟委員會五十五 農業部修正公告美國密西西比州自高病原性價錢流失性感冒肺疫區刪除 領交經濟委員會五十五 農業部修正公告美國密西西比州
transcript.whisperx[132].start 9479.221
transcript.whisperx[132].end 9508.198
transcript.whisperx[132].text 五十六 農業部修正中華民國輸入植物或植物產品檢疫規定以有條件輸入植物或植物產品之檢疫條件第十三點規定 及其附件美國產加工用馬鈴薯輸入檢疫條件 履交經營委員會 宣布議題五十七 金融監督管理委員會 函送有關證券投資信託及顧問法 第五十六條 聽一項企業證券投資信託事業 證券投資顧問事業 經營全球委託投資業務管理辦法 第十四條 規定確定 履交財政委員會 宣布議題五十八 五十
transcript.whisperx[133].start 9508.638
transcript.whisperx[133].end 9522.118
transcript.whisperx[133].text 五十八金融監督管理委員會修正保險業財務報告編制準則第十二條第三十九條條文集體二十九條格式八十九你叫財政委員會宣傳並五十九金融監督管理委員會修正正確保險業財務報告編制準則部分條文
transcript.whisperx[134].start 9523.98
transcript.whisperx[134].end 9552.049
transcript.whisperx[134].text 及第十九条格式一至格式二至一格式四你交财经委员会宣言无疑通过宣言六十一卫生务力公园为本月修正使用排照讯法第五条条文通过附带权益节奏强化复康发势及长照交通车量能及减轻长照交通节奏负担之计划书面报告你交财经委员会宣言无疑通过宣言六十一交通部修正北海岸及观音山国家风景区危险区域限制事项你交交通委员会宣言无疑通过宣言
transcript.whisperx[135].start 9552.429
transcript.whisperx[135].end 9552.709
transcript.whisperx[135].text 主席吳亦東議員
transcript.whisperx[136].start 9572.814
transcript.whisperx[136].end 9589.871
transcript.whisperx[136].text 六十三 交通部含送商場區域特定範圍內遙控無人機飛行活動申請警方立法並自一百十五年二月一日施行離交交通委員會 宣告完畢六十四 司法院含送精神衛生法三成員推薦辦法離交司法計劃支援委員會 宣告完畢五一通過 下言
transcript.whisperx[137].start 9590.325
transcript.whisperx[137].end 9610.172
transcript.whisperx[137].text 六十五 財政部修正 財政部 北京國稅局 竹北分支編制表等四項編制表並自一百十五年二月一日生效 領交司法及法治財政聯盟委員會宣讀完畢五一通過 下議案六十六 交易部促銷一百十四年十五月八日修正發布之國家圖書館處官呈領交司法及法治教育健文化聯盟委員會宣讀完畢五一通過 下議案
transcript.whisperx[138].start 9610.572
transcript.whisperx[138].end 9613.395
transcript.whisperx[138].text 我們一場二樓旁聽又來了一批來自新竹縣竹東鎮代姓中青會的好朋友們我們掌聲歡迎
transcript.whisperx[139].start 9630.075
transcript.whisperx[139].end 9633.397
transcript.whisperx[139].text 我們第68案至171案依序宣讀其中68到7377至7984 86 88至96102 103 150 151 153 154案
transcript.whisperx[140].start 9651.728
transcript.whisperx[140].end 9665.307
transcript.whisperx[140].text 台灣民眾黨團體改交審查第76案國民黨團體改交審查宣讀之後以上提案均改交相關委會審查其餘的議案照議事處意見通過請問院會有無異議
transcript.whisperx[141].start 9668.925
transcript.whisperx[141].end 9696.896
transcript.whisperx[141].text 愿意我们开始宣读宣读之后通过请宣读第六八案大陆委员会第六九案科加委员会第七零案及第七一案内政部第七二案及第七四案海洋委员会第七五案不当党产树林委员会第七六案及第七七案国防部第七八案外交部第七九案及第八二案经济部第八三案及第八四案财讯部第八五案及第八七案金融建筑管理委员会第八八案国家科学及技术委员会第八九案文化部第九十案
transcript.whisperx[142].start 9697.396
transcript.whisperx[142].end 9722.289
transcript.whisperx[142].text 國立故宮博物院第九一案及第九二案交通部第九三案及第九四案數位發展部第九五案國家通訊傳播委員會第九六案總統府第九千案衛生福利部第九八案運動部第九九案及第一百案中央研究院第101案及第102案國家通訊傳播委員會第103案及第147案交通部第148案行政院第149案及第150案內政部第151案及第154案經濟部第155案及第
transcript.whisperx[143].start 9725.271
transcript.whisperx[143].end 9748.644
transcript.whisperx[143].text 一五七案 輔加科學及技術委員會 第一五八案 運動部第一五九案 指定一七零案 交通部第一七案 原住民主委員會 含為各年度相關運算一百十四年度中央政府總算附屬單位運算中央政府花蓮 馬丹 新葉色湖 災後重建特別運算中央政府前瞻基礎建設計畫 第五期特別運算等運算決議分別寫成相關報告 宣讀完畢
transcript.whisperx[144].start 9751.397
transcript.whisperx[144].end 9757.909
transcript.whisperx[144].text 官員會第172案以下一併宣讀宣讀之後均准予被查請宣讀
transcript.whisperx[145].start 9758.567
transcript.whisperx[145].end 9785.431
transcript.whisperx[145].text 第172案為本院經濟委員會函為運會交付審查財團法人工業技術研究院112年度預算書案等案均已於年度預算執行期間第173案為本院經濟委員會函為運會交付審查硬化玻璃股份有限公司管理委員會112年度決算書案等案均已於決算法第28條鎖定審議期間第174案及第175案為本院社會福利及外商環境司法及法治委員會函
transcript.whisperx[146].start 9785.991
transcript.whisperx[146].end 9787.093
transcript.whisperx[146].text 包括事項處理完畢我們現在進行討論事項第一案
transcript.whisperx[147].start 9805.031
transcript.whisperx[147].end 9826.534
transcript.whisperx[147].text 本院台灣民眾黨團建請院會作成決議要求行政院院長卓榮泰即刻核准各部會動資業經通過之新興民生計劃預算並依法編列警察軍人之相關預算請公決案現在請議事委員宣讀提案內容
transcript.whisperx[148].start 9827.216
transcript.whisperx[148].end 9843.011
transcript.whisperx[148].text 本院台灣民眾黨黨團有敬於協政院長卓榮泰濫權違法恣意踐踏憲政體制拒絕依法編列立法院三讀通過之軍人待遇條例及警察人士條例相關一證嚴重違反依法行政原則加工立法院治理法權
transcript.whisperx[149].start 9843.712
transcript.whisperx[149].end 9865.733
transcript.whisperx[149].text 此舉不僅造成115年度中央政府總運算案之編列基礎失序更導致立法院無從依法審查嚴重侵害憲政分權秩序有有甚者民進黨政府不思檢討反屢屢將為依法編列法的運算之責任刻意扭曲為朝野對立所致企圖混淆視聽轉移施政職能之焦點
transcript.whisperx[150].start 9866.494
transcript.whisperx[150].end 9893.97
transcript.whisperx[150].text 其政治操作之明顯以嚴重損害政府公信力為避免國家施政因其政權之消極怠惰與政治算計而陷入停滯立法院秉持對人民負責之立場主動釋出善意於院會提名明確列舉一百十五年度總預算案中包括TPOS通勤月票功勞保生育給付餐館補助國家用戶任性準備各縣市河川排水整治等十三項
transcript.whisperx[151].start 9895.41
transcript.whisperx[151].end 9909.501
transcript.whisperx[151].text 舉高度及迫切之重大新興計畫並經表決同意行政院等於總預算完成審議前依法先行動之以確保民生需求不致中斷然而行政院院長竹蓉泰進行公決案非法律案及
transcript.whisperx[152].start 9910.281
transcript.whisperx[152].end 9935.438
transcript.whisperx[152].text 恐使基層公務員為難等荒謬且背禮法證書說辭推委卸責無視足跡總署遭遇115年3月12日即正式發文監警行政院核實各部會等依立法院主席動之相關預算竹蓉泰院長可以壓制該公務員不予核定發布這使基層公務員進退失據更使有關人民服務者之政策延宕不前 遲等行徑
transcript.whisperx[153].start 9936.318
transcript.whisperx[153].end 9956.941
transcript.whisperx[153].text 顯示卓榮泰院長以政治算計凌駕專業判斷將國家機器工具化對民生傾向失落無度註上所述卓榮泰院長不僅違法失職且長期藐視國會決議破壞憲政秩序自居權力之上位者其行徑也嚴重不服行政院長應有知憲政責任與民主素養
transcript.whisperx[154].start 9957.761
transcript.whisperx[154].end 9982.907
transcript.whisperx[154].text 墮落失格 原此建請優惠作成權益要求行政院長朱鎔泰即刻核選各部會動之業經通過之新生民生計劃預算共計七百十八億元並依法並列檢查原始條例及軍人之願意待遇調整的法律之相關預算以維護國家整體利益確保人民基本福祉並恢復憲政體制之正常運作是否有當進行公決宣讀完畢
transcript.whisperx[155].start 9983.837
transcript.whisperx[155].end 10008.607
transcript.whisperx[155].text 法院會依照立法院職權行事法第八條第三項規定本案經提案人說明提案子去大體討論之後即議決交付審查或禁服二讀或不予審查依照黨團共識本案提案說明就不再發言我們現在開始進行大體討論依照黨團共識請各黨團推派代表發言首先請鍾嘉斌委員發言洪孟愷委員請準備
transcript.whisperx[156].start 10016.601
transcript.whisperx[156].end 10039.702
transcript.whisperx[156].text 主席在場委員先進先說結論大家只知道718億新興計畫希望院會做成決議讓行政院可以先行動之大家知道嗎718億如果未經正常預算審議未來這718億先行動之了我們院會正式審議今年度的預算變成了700億
transcript.whisperx[157].start 10041.363
transcript.whisperx[157].end 10067.845
transcript.whisperx[157].text 如果是700億那18億誰來找呢這就是我們院外要去思考的問題我是第一個發言希望兩位後面的政黨代表回答這個問題因為總預算拖太久了沒有哪一個當年度的中央政府總預算拖到今年度的3月還沒有審怕大家忘記我怕大家複習一下今年度的中央政府總預算是3兆0350億較去年增加了2992億
transcript.whisperx[158].start 10071.007
transcript.whisperx[158].end 10085.738
transcript.whisperx[158].text 這當中所謂的新興計畫呢是1017億其中38項國民黨認為要先行動之但是別忘了還有299億也是新興計畫它不重要嗎好
transcript.whisperx[159].start 10086.358
transcript.whisperx[159].end 10106.914
transcript.whisperx[159].text 先不說這個除了新興之外地方政府因應期待的還有什麼還有其他延續進化的擴增部分這個部分有多少呢有1975億其中還包括了170億的災害預備金大家知道現在水情吃緊啊
transcript.whisperx[160].start 10107.674
transcript.whisperx[160].end 10128.828
transcript.whisperx[160].text 各地方政府都在擔心今年萬一不是風災 也不是雨災 是旱災那我們要不要動資這些災害預備金呢這些也沒有經過審議所以換言之現在藍白說 我們很好心38項新興計畫7彩18月先讓你先行動資但是我們預算只要不省
transcript.whisperx[161].start 10129.548
transcript.whisperx[161].end 10144.858
transcript.whisperx[161].text 未來省政府總預算的時候只要刪減了任何一毛錢政府花出去的錢立法院要檢列 找不回來所以我們在這裡誠懇的呼籲後面兩位發言人 政黨代表請告訴大家
transcript.whisperx[162].start 10145.998
transcript.whisperx[162].end 10165.004
transcript.whisperx[162].text 這三兆零三百五十億當中較去年新增的兩千九百九十二億當中的新興計畫一千零一十七億你是不是可以做出保證我們只要同意先行動之的我們就同意未來審議的時候不予檢列這樣子才不會造成自己自打耳光
transcript.whisperx[163].start 10165.464
transcript.whisperx[163].end 10183.89
transcript.whisperx[163].text 另外地方政府因應期盼的包括桃園的地區還有交通部的248億這是屬於延續型計畫的擴增預算要不要讓他過地方政府再拜託還有170億的債務費金要不要限於讓他通過也是不予檢列
transcript.whisperx[164].start 10184.95
transcript.whisperx[164].end 10211.613
transcript.whisperx[164].text 這一點請待會發言的在野黨的代表清楚的跟全國的人民還有各地方的交代如果真的要救命真的要讓民生樂利不要因為其他的突發狀況影響請通過不予間諜的決議謝謝鍾嘉斌委員的發言謝謝歡迎我們今天立法院非常多的參訪團又來自台南大學所以一批的同學我們掌聲歡迎
transcript.whisperx[165].start 10214.266
transcript.whisperx[165].end 10217.93
transcript.whisperx[165].text 接下來我們請侯孟楷委員發言蔡春籌委員請準備
transcript.whisperx[166].start 10227.728
transcript.whisperx[166].end 10253.905
transcript.whisperx[166].text 主席各位立委同仁過去回應韓院長呼籲民進黨停止大二霸的時候賴清德總統講菩薩為因眾生為果既然因果因果我們就來說清楚在114年1月7號立法院三讀通過警察人士條例已經一年多的時間賴清德總統4月25號公告也已經將近一年了
transcript.whisperx[167].start 10258.368
transcript.whisperx[167].end 10273.517
transcript.whisperx[167].text 沒有軍人待遇條例去年6月10號三讀通過6月27號賴清德總統公告將近9個月的時間請教現在依法行政了嗎沒有
transcript.whisperx[168].start 10274.537
transcript.whisperx[168].end 10302.147
transcript.whisperx[168].text 因為一百一十五年年度總預算行政院違法漏邊相關的預算也因此造成違法的預算無法違法審查那麼簡單的道理那麼清楚的因果民進黨團還是行政部門還要歐兩謝都我們真的不知道你怎麼好意思更重要的是如果現在還不施行就是行政怠惰就是對不起軍人警察消防
transcript.whisperx[169].start 10304.734
transcript.whisperx[169].end 10319.979
transcript.whisperx[169].text 718億的新興計畫等13項主計處我們通過的時候也早就已經講了可以依法動之依法行政我們要說拜託不要連依法行政都吃法律自助餐好嗎
transcript.whisperx[170].start 10320.859
transcript.whisperx[170].end 10339.527
transcript.whisperx[170].text 在河門議題上面明明通過是得延長而不是因延長那時候也說要依法行政就可以馬上拋棄所謂的反河省主牌沒想到現在真正應該依法行政的反而自己找自己的一個台階下還不願意來發放
transcript.whisperx[171].start 10340.828
transcript.whisperx[171].end 10370.308
transcript.whisperx[171].text 但我們要講的是即便如此民生不能停擺中央地方一起努力所以包括TPAS包括生育補助津貼包括國家藥物潤性以及各縣市的河川排水等13項計畫哪一項計畫不夠重要哪一項計畫我們沒有站在民生的角度來幫人民優先解決問題結果現在反而是卓龍泰在黨所以我們要正告所有全國的同胞
transcript.whisperx[172].start 10371.268
transcript.whisperx[172].end 10392.719
transcript.whisperx[172].text 未來如果TPAS吃緊那是卓龍泰不同意動用未來如果生育津貼補助沒有領到那是卓龍泰不願意發放未來國家藥物任性無法進行是行政院在阻撓未來河川排水治理落後那是行政院不同意之用
transcript.whisperx[173].start 10394.366
transcript.whisperx[173].end 10418.303
transcript.whisperx[173].text 最後我們也請今天在場所有的好朋友一起來看等一下我們投下同意票跟反對票誰同意站在民生的角度優先動用718億誰反對國人自有公平謝謝謝謝洪孟凱委員的發言 謝謝接下來我們請最後一位發言的委員蔡春筹委員請發言
transcript.whisperx[174].start 10436.894
transcript.whisperx[174].end 10460.364
transcript.whisperx[174].text 主席各位同仁今天台灣民眾黨團站在這裡是為了要守護台灣民族最基本的底線依法行政憲政分前秩序我們很遺憾的看到行政院長卓榮泰上任以來是
transcript.whisperx[175].start 10461.943
transcript.whisperx[175].end 10490.103
transcript.whisperx[175].text 法例如無誤立法院三讀通過金人代議條例還有警察人員人事條例是法例不是行政院的顯配項目行政院拒絕邊內相關法定的一個議算這不只是對立法院的立法權的一個藐視也是對全國基層基金人員洗腦的功難踐踏
transcript.whisperx[176].start 10491.864
transcript.whisperx[176].end 10510.839
transcript.whisperx[176].text 民進黨政府不斷對外放話積極預算僵局抹黑成朝野對立但事實真相是什麼真相是為了不讓民生受苦主動釋出善意通過公決案為了
transcript.whisperx[177].start 10512.12
transcript.whisperx[177].end 10525.311
transcript.whisperx[177].text 我們要求行政院先行動之包括T-pass通行業票還有功勞保生育給付河川整治等13項的急迫性新興計畫總計718億然而
transcript.whisperx[178].start 10530.615
transcript.whisperx[178].end 10551.815
transcript.whisperx[178].text 卓院長竟然用公結案不是法律這種荒謬的藉口來推諉更可惡的是主席總署早在115年3月12日就已經發文建情動之這份公文卻被卓院長刻意的壓制不義核定
transcript.whisperx[179].start 10553.018
transcript.whisperx[179].end 10572.185
transcript.whisperx[179].text 卓院長口口聲聲說要溝通做的卻是架空立法院忽視精謹大義的一個行為一個自居於權力之上無視法治精神的行政所長已經完全失去了憲政素養
transcript.whisperx[180].start 10573.425
transcript.whisperx[180].end 10597.371
transcript.whisperx[180].text 因此台灣民眾黨在此嚴正的要求第一行政院長應該立即核准十四項新興民生計劃預算讓人民的福利不要再延半第二行政院必須依法補編經營人員待遇調整之法定的預算回歸法治的軌道各位同仁請
transcript.whisperx[181].start 10599.291
transcript.whisperx[181].end 10615.335
transcript.whisperx[181].text 國家機器不應該成為特定一個政黨的一個打擊工具所以我們要求停止消極的豆袋停止政治的操弄讓憲政體制回歸正常運作確保人民福祉不受損害謝謝大家
transcript.whisperx[182].start 10621.761
transcript.whisperx[182].end 10629.044
transcript.whisperx[182].text 現在有台灣民眾黨團提議禁服二讀依照黨團共識我們要進行表決現在針對台灣民眾黨團提議禁服二讀進行表決民進黨黨團要求記名表決我們開始進行記名表決贊成台灣民眾黨團提議請按贊成反對按反對時間一分鐘現在開始
transcript.whisperx[183].start 10715.261
transcript.whisperx[183].end 10731.51
transcript.whisperx[183].text 報應會報告表決結果出席109位委員贊成59位反對50位贊成者多數台灣民眾黨團提早案通過本案禁服二讀依據立法院職權新司法第74條之一規定交付黨團協商我們現在做以下決議交付黨團協商並由台灣民眾黨團負責召集協商報應會我們進入討論事項第二案
transcript.whisperx[184].start 10739.141
transcript.whisperx[184].end 10751.741
transcript.whisperx[184].text 本院國民黨團建行院會作成決議賴政府行政院長卓榮泰院長盲目推動錯誤的能源政策讓台灣空轉應該予以最嚴厲之譴責請公決案我們請議事們宣讀題內容
transcript.whisperx[185].start 10753.601
transcript.whisperx[185].end 10782.166
transcript.whisperx[185].text 本院國民黨黨團有介於飛河江源乃民進黨列入黨綱的神主牌不僅在野時非理性抗爭要求飛河首次執政後甚至片面停建核四造成國部具有損失而後二次執政在蔡英文賴清的接續主政下強推飛河江源入訪能源結構去核化今十年執政最終於2025年5月17日賴總統宣布達成飛河江源目標
transcript.whisperx[186].start 10783.166
transcript.whisperx[186].end 10798.568
transcript.whisperx[186].text 日前賴總統近又宣布將評估重啟核二核三廠能源政策集團會不但引發國人議論綠營內幕也炸鍋由於民進黨執政後大力推動綠能微光電離岸風電開發過程弊端不斷
transcript.whisperx[187].start 10799.309
transcript.whisperx[187].end 10825.928
transcript.whisperx[187].text 官商攻擊毀農滅漁高額購電費用取名買單如今光電裝置目標已再跳票風電國產化鬆綁衝擊本土業者生存唯一獲利只有綠油油門再者為營營能源去核化民進黨政府重壓火力發電佔比達八成以上其中以天然氣發電為大宗巨幅增加的碳排量對國人健康造成嚴重影響
transcript.whisperx[188].start 10829.189
transcript.whisperx[188].end 10850.894
transcript.whisperx[188].text 招機用費發電經受俄烏中東戰爭影響天然氣進口成本飆漲國內安全存量不足不僅讓台電中油二家公司財務雪上加霜供應問題更引發國安危機前總統蔡英文曾說我們有把握在十年內不會大幅漲電價但能源配備做導致成本上升
transcript.whisperx[189].start 10851.454
transcript.whisperx[189].end 10865.821
transcript.whisperx[189].text 在內二人執政期間不但調漲六次電價且移除台電三千億人民血汗錢的代價此外由於賴清德總統宣誓重啟核電以核三傳為例預估重啟成本可能高達三千九百億元
transcript.whisperx[190].start 10866.881
transcript.whisperx[190].end 10885.513
transcript.whisperx[190].text 更有甚者因民進黨非核家園而停建的核四從計劃投資總額到停工封存及後續燃料棒位於處理費用將近三千億元的經費全部到水漂出屋費和代價約高達九千億元原進行院會作成決議出屋的政策比貪污更可怕
transcript.whisperx[191].start 10886.293
transcript.whisperx[191].end 10907.327
transcript.whisperx[191].text 賴政府行政院總太院長無視國家經濟發展最重要的基礎是穩定的電力供應盲目推動錯誤的能源政策讓台灣工程決策髮夾彎導致趙議員名職名高的浪費且有時有愧於國人應給予最嚴厲之譴責是否有當勤工絕恩宣讀還逼
transcript.whisperx[192].start 10908.976
transcript.whisperx[192].end 10910.337
transcript.whisperx[192].text 首先請王宏威委員發言 洪玉祥委員請準備
transcript.whisperx[193].start 10949.655
transcript.whisperx[193].end 10962.623
transcript.whisperx[193].text 主席还有各位委员今天首先欢迎来我们立法院很多个团体民进党政府重启核电出现了一个史诗级的发夹弯
transcript.whisperx[194].start 10963.823
transcript.whisperx[194].end 10989.588
transcript.whisperx[194].text 我們樂見錯誤的能源政策終於可以導正因為民進黨執政十年執意一路執行非核家園對台灣的能源結構對台灣的產業乃至於對我們所有的民生荷包產生了非常非常大的衝擊包括電價飆漲
transcript.whisperx[195].start 10991.548
transcript.whisperx[195].end 11008.603
transcript.whisperx[195].text 包括台電虧損累累包括用廢發電影響我們國民的健康浪費民脂民膏更不要說光電弊案一直在發生蔡總統
transcript.whisperx[196].start 11010.196
transcript.whisperx[196].end 11030.637
transcript.whisperx[196].text 他当时推动非核家园他告诉全部的台湾人说十年不会涨电价但是从2016年开始一路电价飙涨了六次之多从2016年的平均2.54元一路飙涨到2025年的3.78元
transcript.whisperx[197].start 11034.28
transcript.whisperx[197].end 11051.286
transcript.whisperx[197].text 漲幅高達48.31這全部都是明指明高台電虧損到現在累計虧損超過4000億更不要說我們用政府預算增資加撥補也達到3000億元之多
transcript.whisperx[198].start 11052.546
transcript.whisperx[198].end 11076.393
transcript.whisperx[198].text 光電弊案重生啊多少的糧田餘溫現在是深野光電板 海野光電板然後綠油有賺寶台電跌倒這樣的非核家園所造成的種種的惡果難道不應該被檢討難道不應該面對嗎
transcript.whisperx[199].start 11081.869
transcript.whisperx[199].end 11107.302
transcript.whisperx[199].text 在我们讨论重启核电的时候前民进党立委号称云豹小公主赖品瑜委员说重启个屁在去年也在我们的议事厅里面讨论重启让核三演绎公投当时则黄杰委员说谁赞成重启核三就要罢免他
transcript.whisperx[200].start 11108.382
transcript.whisperx[200].end 11133.843
transcript.whisperx[200].text 包含在座的費雲委員也說這是國安問題啊如果要重啟的話該罷就罷所以我想請問一下你們用這樣的方式去討論重大的公共政策請問一下你們現在要罷免賴清德總統了嗎你們要罷免賴清德總統了嗎所以錯誤的能源
transcript.whisperx[201].start 11143.354
transcript.whisperx[201].end 11144.014
transcript.whisperx[201].text 吳思瑤委員請準備
transcript.whisperx[202].start 11166.09
transcript.whisperx[202].end 11193.041
transcript.whisperx[202].text 主席各位委員同仁然後各位來參觀的來賓們民眾黨團對賴總統在先前盤石會當中宣布核二核三重啟打破非核家園神主牌造成黨內黨外很大的一個震撼
transcript.whisperx[203].start 11194.335
transcript.whisperx[203].end 11223.457
transcript.whisperx[203].text 但是對於我們從產業結構的發展來講知錯能改善莫大焉我們產業的發展需要的是穩定的一個電力的結構那這一次我們又再度回到一個非常熟悉的印象也就是再一次的校正回歸那麼呢今天這一個飛河一場空代價是全民要扛
transcript.whisperx[204].start 11224.673
transcript.whisperx[204].end 11248.69
transcript.whisperx[204].text 而賴總統在先前說重啟的理由是因應AI算力的一個需求因應低碳電力的需求但是又告訴我們說2032穩定供應電源沒問題這是一個非常自相矛盾的一個邏輯
transcript.whisperx[205].start 11251.363
transcript.whisperx[205].end 11271.872
transcript.whisperx[205].text 既然是非常穩定的供電那為何又要再重啟如果你已經在當時的AI的發展就已經預估到這樣的需求那就表示電源的供應是足夠的那請問AI是昨天才發生的嗎
transcript.whisperx[206].start 11273.496
transcript.whisperx[206].end 11299.772
transcript.whisperx[206].text 上任的時候號稱AI行動內閣但是我們產業聽到的AI現在也被BI的行動內閣絕對不是你的名字LINE的英文有AI我們就可以AI啊那我覺得應該要好好的去思考如果沒有好的能源的結構的政策那我還可以送你一個字叫做FAIL也有AI那就叫失敗
transcript.whisperx[207].start 11301.223
transcript.whisperx[207].end 11325.999
transcript.whisperx[207].text 那這樣子的執政黨的政府難道不應該為你過去的能源結構的錯誤來做負責嗎我們付出了多少的代價包含你必須要用火力發電我們現在的這一個燃氣跟燃煤的火力發電的比例已經來到了81%左右我們用我們的廢來發電
transcript.whisperx[208].start 11328.308
transcript.whisperx[208].end 11356.331
transcript.whisperx[208].text 然後我們投入再生能源逐年下降因為一直達不到目標從20%到今年下修我看是13%年底到2028才有可能達到20%我覺得這也是一個唬爛所以我們要提出嚴厲的好謝謝洪宇詳委員的發言接下來我們請最後登記的吳思堯委員請發言
transcript.whisperx[209].start 11368.428
transcript.whisperx[209].end 11386.169
transcript.whisperx[209].text 主席各位同仁現在在處理的又是一個譴責案藍白又要譴責了上週譴責李博義交委這一週要來譴責卓榮泰院長看不順眼的呢就要譴責霞院報復只會譴責
transcript.whisperx[210].start 11389.812
transcript.whisperx[210].end 11415.424
transcript.whisperx[210].text 這個會期立法院法案還沒有過幾個但是呢藍白一再的拿譴責案來當業績至於提案的內容實在是欲加之罪何患無辭實在是非常無奈還是要來打臉跟回應一下王宏威委員說非核家園是台灣災難這是他剛剛的手拿板
transcript.whisperx[211].start 11416.445
transcript.whisperx[211].end 11439.867
transcript.whisperx[211].text 提案內容藍白都說停建核四是大錯特錯難道你們在罵的是封存核四的馬英九嗎難道你們在批判的是口口聲聲說非核家園是全民共識的朱立倫嗎難道你們在譴責的是一再的強調核廢沒有處理
transcript.whisperx[212].start 11442.409
transcript.whisperx[212].end 11447.686
transcript.whisperx[212].text 就凭什么又核电的朱立伦到侯友宜吗
transcript.whisperx[213].start 11448.959
transcript.whisperx[213].end 11477.075
transcript.whisperx[213].text 今天非核家園上路314天在民進黨的努力之下我們的政策目標沒有轉彎沒有跳票即便我們邁入非核家園的今天我們的供電的備載容量還是高於10%台灣能夠穩健的供電為什麼你們一再污名化這是錯誤的能源政策
transcript.whisperx[214].start 11478.035
transcript.whisperx[214].end 11494.468
transcript.whisperx[214].text 第二 我們面對核安的 我們面對核電的原則是核安無虞 核廢有解 社會要有共識請問這三項 哪一項錯誤了請問這三項 哪一項國民黨民眾黨不認同呢
transcript.whisperx[215].start 11502.031
transcript.whisperx[215].end 11523.501
transcript.whisperx[215].text 重啟核電了嗎?藍白的委員不要看到黑鍊就開槍一句立法院通過的核管法現在台電在進行的只是自主安全的檢查還要過恩官斬恩將不要奏下結論更不要來獨壓核電
transcript.whisperx[216].start 11525.882
transcript.whisperx[216].end 11552.854
transcript.whisperx[216].text 面對國際能源的急劇的挑戰政策要做的是二次能源的轉型我們要提升建制儲能的設施要優化電網的韌性但是藍白都不支持我們前面的來推動能源的多元化核電只是其一並非唯一不要再倒果為因不要再污名化
transcript.whisperx[217].start 11556.556
transcript.whisperx[217].end 11556.936
transcript.whisperx[217].text 謝謝吳斯陽委員的發言 謝謝
transcript.whisperx[218].start 11646.854
transcript.whisperx[218].end 11667.495
transcript.whisperx[218].text 報告表決結果在場出席委員109位贊成60位反對49位贊成者多數國民黨團體照案通過本案進覆二讀依據立法院職權新法第74條之一規定交付黨團協商我們先來做一下決議交付黨團協商並由國民黨團負責召集協商報告我們進入討論事項第三案
transcript.whisperx[219].start 11668.075
transcript.whisperx[219].end 11678.148
transcript.whisperx[219].text 本院國民黨團建集院會作成決議要求行政院院長率相關部會首長向立法院提出重啟核電以因應AI時代經濟發展專案報告並備諮詢請公決案我們現在請市長宣讀提議內容
transcript.whisperx[220].start 11684.093
transcript.whisperx[220].end 11698.925
transcript.whisperx[220].text 本院國民黨黨團有鑒於賴清德總統日前正式宣布因應AI時代與經濟發展將憑供重啟核二核三廠顯然賴政府已預見到現行區核化的能源政策根本無法滿足產業用電與淨零要求
transcript.whisperx[221].start 11700.746
transcript.whisperx[221].end 11722.004
transcript.whisperx[221].text 然而事後協建院院長卓榮泰雖說總統炮書重啟核電論述前有與協政團隊充分溝通討論事後經濟部及台電亦表示相關重啟評估採取平行進行策略以爭取時效但卓葵卻又重申何安無虞何費有解社會共識三原則
transcript.whisperx[222].start 11722.805
transcript.whisperx[222].end 11744.793
transcript.whisperx[222].text 似有意技術性卡關而決勝黨民意代表甚至在選舉考量下發言捍衛非核家園書中語重啟核電背道而馳的言行反將外界更加疑惑讓政府承認錯誤回歸科學的務實調整的原政策仍將無法擺脫意識形態的束縛恐將評估流於形式再次虛質公道
transcript.whisperx[223].start 11745.593
transcript.whisperx[223].end 11763.741
transcript.whisperx[223].text 原此件請院會作成決議能源以被各國視為攸關數位主權與國家安全的戰略資源要求行政院長率三位部會首長向立法院提出重啟核電以因應AI時代經濟發展主要報告並被質詢是否有當進行公決宣讀完畢
transcript.whisperx[224].start 11764.79
transcript.whisperx[224].end 11766.831
transcript.whisperx[224].text 現在請各黨團推派代表發言首先請邱惠如委員發言陳培宇委員請準備
transcript.whisperx[225].start 11806.581
transcript.whisperx[225].end 11835.381
transcript.whisperx[225].text 主席 各位委員同仁大家好民主進步黨的非核家園這一塊神主牌曾幾何時這塊神主牌改成了叫做永核家園現在看來 廢核市小英總統將非核家園入法還有賴清德總統在去年5月14號宣布台灣進入非核家園這些種種的動作如今看起來格外的諷刺
transcript.whisperx[226].start 11836.201
transcript.whisperx[226].end 11864.681
transcript.whisperx[226].text 我們曾經以為民主進步黨對於非核家園的堅持是一路走來始終如一結果搞了半天今天答案揭曉是一路走來有始無終我們以為終點是非核家園結果終點居然是重啟核二核三真的是讓人家笑著笑著就哭了這一開跟一關之間請問要浪費多少時間成本精力成本
transcript.whisperx[227].start 11865.701
transcript.whisperx[227].end 11891.182
transcript.whisperx[227].text 還有浪費多少行政成本不是很缺衛生紙嗎不是很缺糕點嗎沒錢買但是民脂民膏可以花費在這裡賴清德總統你知道白海豚會轉彎在我們的菸利你也會轉彎你這麼一轉彎浪費多少民脂民膏一開一關之間請問你有沒有顧慮到國人會看到你們的雙標啊一開一關之間
transcript.whisperx[228].start 11892.183
transcript.whisperx[228].end 11917.335
transcript.whisperx[228].text 請問你有沒有看到國人滿頭的問號不知道為什麼又要重啟一開一關之間你有注意到你們的綠營內部已經炸鍋了嗎一開一關之間你有看到青鳥車椅已經崩潰了嗎一開一關之間你有看到環保團體在抗議嗎這個不就是你們的鐵票嗎好到底為什麼要重啟我們來追根究柢
transcript.whisperx[229].start 11918.235
transcript.whisperx[229].end 11943.92
transcript.whisperx[229].text 是因為台灣缺電嗎你說沒有可是每次到了夏天的時候就是跳電停電人民以為人民認為這個叫缺電但是你們說沒有只是小動物小松鼠到處橫行不要再拿小動物小松鼠出來飛國了小松鼠他雖然沒有人權但是他有動物權他們也是會抗議的
transcript.whisperx[230].start 11944.56
transcript.whisperx[230].end 11965.252
transcript.whisperx[230].text 那到底是因為什麼原因電力及算力 算力及國力在AI的浪潮之下也許賴清德總統看到不得不向現實妥協但是妥協太慢了這一開一關浪費多少 民脂民膏所以我們在這邊呼籲賴清德總統你在
transcript.whisperx[231].start 11966.312
transcript.whisperx[231].end 11994.078
transcript.whisperx[231].text 重啟核二跟核三的同時你要跟國人道歉這一段時間我們吸收了多少這些空污用廢發電你要跟國人道歉我們強力的要求而且我們也要求卓院長應該要來行政來這裡做專案的報告告訴我們你的能源政策謝謝謝謝秋惠入圍的發言接下來我們請陳培元發言羅志強委員請準備
transcript.whisperx[232].start 12003.544
transcript.whisperx[232].end 12029.885
transcript.whisperx[232].text 主席各位同仁早安我想要說我現在手上的三張討論事項的提案有多麼的荒謬在野黨正式不做盡幹一些壞事他們做了哪些壞事過去在四個會期我想我就不再多說但今天三個提案莫名其妙我們來看一下民進黨今天提出的提案有哪些我們想要把國安法案從程序委員會交付委員會
transcript.whisperx[233].start 12030.666
transcript.whisperx[233].end 12056.357
transcript.whisperx[233].text 但是我要跟大家報告到目前為止國民黨非常害怕到中國去要事先申請事先報備回來之後要事後報告到現在不敢面對我想請問一下民眾黨團換上了新的立委之後你們的態度又是什麼到今天為止被擋了877次這877次就是藍白面對中國的態度這就是藍白面對台灣民主自由的態度
transcript.whisperx[234].start 12059.818
transcript.whisperx[234].end 12082.412
transcript.whisperx[234].text 接下來我要說總預算送進來到立法院為止到目前已經209天了一樣卡在程序委員會這就是藍白幹的好事我再說一次請藍白跟立委告訴全台灣人民為什麼不敢通過國安法案為什麼不敢通過總預算為什麼不用討論再說到昨天國防外交委員會
transcript.whisperx[235].start 12083.492
transcript.whisperx[235].end 12096.837
transcript.whisperx[235].text 軍購特別條例只有兩條送出去其他必須要交由黨團協商我要說海馬仕到今天為止只剩下三天了約了三天之後沒有辦法付款所有的程序要再重頭來過請問這個責任藍白你們敢當嗎
transcript.whisperx[236].start 12101.399
transcript.whisperx[236].end 12116.24
transcript.whisperx[236].text 從整預算到國安的法案到國安特別條例都是藍白用力阻擋我要拜託全台灣人民我們今天等一下表決會看到的是民進黨將不會支持今天所有的提案為什麼
transcript.whisperx[237].start 12116.741
transcript.whisperx[237].end 12134.125
transcript.whisperx[237].text 我們當然支持專案報告我們支持所有事情都要公開討論實質的進行但是我可以預估未來當卓院長來到立法院做專案報告的時候藍白就是極盡的羞辱極盡的造謠然後再剪出短影音
transcript.whisperx[238].start 12134.885
transcript.whisperx[238].end 12150.239
transcript.whisperx[238].text 這就是他們想要叫卓院長來到立法院做專案報告的原因我要再次強調民進黨團支持專案報告等一下我們即將要反對的是藍白不負責任的詐謠
transcript.whisperx[239].start 12151.28
transcript.whisperx[239].end 12178.087
transcript.whisperx[239].text 抹黑的資訊還有不願意對台灣人民負責的總預算國安法案還有軍購特別條例最後我要說請韓院長主持公報現場有一位不是立法委員的人坐在旁邊等一下也會按表決燈他叫李貞秀女士我要呼籲這些才是立法院應該要處理的事情而不是在每一個禮拜的宴會阻擋民進黨團的議程然後通過莫名其妙討論事項還有報告事項 以上 謝謝
transcript.whisperx[240].start 12182.926
transcript.whisperx[240].end 12210.241
transcript.whisperx[240].text 好謝謝陳培偉的發言接下來最後一位發言羅志強委員請發言動物農村裡面有兩頭豬一頭叫做雪球另外一頭叫做民進黨抱歉口誤叫做拿破崙
transcript.whisperx[241].start 12212.675
transcript.whisperx[241].end 12236.477
transcript.whisperx[241].text 這兩頭豬啊都當過領導者雪球他有一天告訴大家動物農莊缺電我們要蓋風車發電拿破人很生氣跳出來說他說什麼雪球是兩腳獸的同路人雪球是動物農莊的叛徒我們要處死雪球把他趕出去
transcript.whisperx[242].start 12237.796
transcript.whisperx[242].end 12263.546
transcript.whisperx[242].text 於是拿破崙當了領導人一上來三個禮拜宣布我們要蓋風車因為動物農莊缺電了這個不是羅志強編的這是1945年世界頂級知名的作家喬治歐威爾寫的動物農莊裡的場景穿越時空啦
transcript.whisperx[243].start 12264.71
transcript.whisperx[243].end 12289.944
transcript.whisperx[243].text 我們歐美打臉的民進黨啊來看看何其相似國民黨從國家能源發展長遠的角度我們不斷地告訴民進黨核能必須作為能源的選項核能不能廢民進黨怎麼說他說今天黃捷說核廢料放徐巧新家
transcript.whisperx[244].start 12292.076
transcript.whisperx[244].end 12320.496
transcript.whisperx[244].text 啊今天我們范雲說誰敢挺和就罷免他我們今天民進黨最愛講中共統領的沈博洋我要問問他民進黨說什麼叫中共統路人啊來了來了不好意思啊賴清德說要重啟和二跟和三了不起了鼓掌啊民進黨鼓掌快點鼓掌來來鼓掌了不起啊
transcript.whisperx[245].start 12322.383
transcript.whisperx[245].end 12346.399
transcript.whisperx[245].text 我就要來問問我們親愛的民進黨 我請問黃捷核廢料要不要放到賴清德家要放在賴清德家好不好啊我要問問范雲 賴清德要不要罷免啊罷免好不好啊我要問問沈伯陽 賴清德是不是中共同路人迫害台灣啊
transcript.whisperx[246].start 12349.178
transcript.whisperx[246].end 12372.031
transcript.whisperx[246].text 我要跟各位說一句不客氣的話今天國民黨當然樂見樂見啊今天民進黨彌陀之反回到國家長遠發展的路上願意重啟河二河三但是抱歉啊總統院長來報告一下嘛
transcript.whisperx[247].start 12373.26
transcript.whisperx[247].end 12378.842
transcript.whisperx[247].text 我是人我反核 現在民進黨不反核了還是不是人啊謝謝大家 謝謝
transcript.whisperx[248].start 12472.511
transcript.whisperx[248].end 12498.56
transcript.whisperx[248].text 報應會報告表決結果在場出席為110位贊成60位反對50位贊成者多數國民黨黨團提議照案通過本案禁服二讀依據立法院職權新司法74條之一規定交付黨團協商我們現在做以下決議交付黨團協商並由國民黨團負責召集協商報應會我們上午的會議進行到此為止下午2點30分繼續開會進行施政方針及施政報告之諮詢現在休息
transcript.whisperx[249].start 17854.012
transcript.whisperx[249].end 17854.889
transcript.whisperx[249].text MING PAO CANADA MANGA
transcript.whisperx[250].start 21610.305
transcript.whisperx[250].end 21624.235
transcript.whisperx[250].text 主委院長、政府院長各位閣員午安我們現在開始繼續進行對行政院院長施政方針及施政報告進行諮詢在諮詢之前請副院長報告部首長請假情況
transcript.whisperx[251].start 21625.902
transcript.whisperx[251].end 21630.483
transcript.whisperx[251].text 我們現在一長二樓旁聽了來自台北護理健康大學的同學我們掌聲歡迎各位同學
transcript.whisperx[252].start 21655.936
transcript.whisperx[252].end 21660.797
transcript.whisperx[252].text 首先我們請郭國文委員質詢陳超明委員請準備謝謝主席有請卓院長跟經濟部鞏部長麻煩請卓院長經濟部長備詢
transcript.whisperx[253].start 21697.322
transcript.whisperx[253].end 21709.288
transcript.whisperx[253].text 國元好院長好部長好我想昨天我們的物價穩定小組團開了會到底逛夜市接下來有沒有塑膠袋有沒有找到囤貨的大戶或者海外的替代來源有沒有趁這個機會跟國人說明一下
transcript.whisperx[254].start 21712.371
transcript.whisperx[254].end 21739.789
transcript.whisperx[254].text 謝謝國務委員昨天我們緊急的因應這個情勢發表了這樣的重點我想國務委員應該知道其中就是希望能夠國內的這個石化業者所生產的這個產品優先供給國內那麼也希望能夠希望協助國內的廠商在海外取得更多的貨源另外就是對於國內有台價或者囤積的這種步伐我們要加強現在有對象國嗎來源國多元的部分
transcript.whisperx[255].start 21741.05
transcript.whisperx[255].end 21764.011
transcript.whisperx[255].text 昨天這個決定之後就交由政府院長主持的物價穩定小組去擬定各項執行的細節我跟委員補充說明可以嗎好我分成兩個部分一個是通路端跟銷售端的部分一個是生產端通路端跟銷售端的部分我們就請了同仁去查了
transcript.whisperx[256].start 21764.81
transcript.whisperx[256].end 21780.809
transcript.whisperx[256].text 那現在看起來大的賣場通路直接賣給消費者的這個應該還好那有的是比較可能有少數的這個就是夜市商圈這個部分就是他們要來用給那個人家賣給人家的那個部分那我們請同仁就是
transcript.whisperx[257].start 21781.482
transcript.whisperx[257].end 21797.468
transcript.whisperx[257].text 那個供應商直接跟他們避過這個中盤商因為有些中盤商是從國外進口是是是盡可能去找到新的貨源解決這個塑膠袋之亂好不好好另外一部分呢院長有一個部分呢其實本席的這個選區是在這個南科啦
transcript.whisperx[258].start 21798.448
transcript.whisperx[258].end 21818.802
transcript.whisperx[258].text 另外還有部分本企業長期在做一些台日友好的工作可是最近發現紅色的供應整個我們的供應鏈有受到紅色滲透的一個可能性模式一是在於說過往曾經有相關的大廠把先進的製程送往國外的可能性也就是他把原來的廠
transcript.whisperx[259].start 21819.69
transcript.whisperx[259].end 21834.872
transcript.whisperx[259].text 然後拆除掉然後到國外的組裝當初呢其實有類似的情況發生那最近又有一個新的模式呢就是日本的這些半導體公司的母公司來台設廠之後呢可是它在海外的公司呢卻因為中國的這個詬病呢讓中國掌握了一個絕對的主導權
transcript.whisperx[260].start 21836.033
transcript.whisperx[260].end 21864.794
transcript.whisperx[260].text 這個部分我私下問過經濟部頭審思相關的單位人員說你們只有處理事先的一個審查可是事後的這個股權的變化最終的受益人是誰誰能夠主導資本的屬性卻沒有辦法確認這個變成是一種漏洞所以我在這邊提醒院長跟部長這個部分有沒有可能防止針對這種戰略型的產業當中有一個事後普查的一個可能性隨時掌握現況隨時了解他的資本屬性的定位有沒有重新轉變 有沒有可能
transcript.whisperx[261].start 21865.034
transcript.whisperx[261].end 21893.818
transcript.whisperx[261].text 好謝謝郭委員能夠適時來提醒政府注意到這個區塊是不是有斗缺失那麼我們跟日本不僅現在合作的關係良好各自對於國內的經濟安全出口管制也都有相當高的默契跟共同的做法那我認為這一點請經濟部跟我的部會能夠跟日方也取得這樣的共識是不是在雙方談的時候有一個能夠約束公共對我們來說不只是政治滲透還有經濟的滲透對郭委員我補充一下就是說
transcript.whisperx[262].start 21894.538
transcript.whisperx[262].end 21920.397
transcript.whisperx[262].text 只要他的股權有改有更改然後有涉及中資的話他就要跟我們報告我舉的例子就是因為沒有報告有一些狀況他們是透過商業性的聯盟有一些契約私底下的交換把一些生產線挪移到台灣來然後用合法的方式來對整個政府的目前的政策抵制這個真的是需要知道一下這叫經濟的
transcript.whisperx[263].start 21922.058
transcript.whisperx[263].end 21941.258
transcript.whisperx[263].text 這滲透這紅色的資本的入侵這是有可能存在的所以這一點請院長跟部長特別注意一下好不好台日資源合作其實目前為止看起來都非常的好我們去熊本有一廠有二廠有三奈米預計要生產其實看起來很像是單方面的去那邊進行投資另外日本的部分單方面的與我們補助
transcript.whisperx[264].start 21942.399
transcript.whisperx[264].end 21968.545
transcript.whisperx[264].text 上台日的合作方式其實還不夠啦我舉一個例子來說部長這邊 院長這邊以在目前的台灣跟日本之間呢有一些技術其實可以從頭到尾一起合作了以現在的封測的部分特別是後端封測的部分的設備上不論是AI的伺服器也好不論是冷卻的系統也好不論是零組件的不好這個部分都不是台灣的強項也不是日本的強項反倒是需要進口而這部分的強項是誰是中國啊
transcript.whisperx[265].start 21969.987
transcript.whisperx[265].end 21989.345
transcript.whisperx[265].text 這個反倒是台日之間需要合作的項目我們台日之間不是在高興或歡呼在那邊設半導體先進奈米從原來的成熟奈米變成新生奈米而已而是需要未來式的合作更重要這樣半導體聯盟的價格因為台積電除了在那邊設廠之外它有一個研發中心也在日本設立的
transcript.whisperx[266].start 21990.566
transcript.whisperx[266].end 22019.291
transcript.whisperx[266].text 歸來共同合作的這些材料對 材料材料基本上我們是跟日本是最緊密的合作是 我是舉一個特別的例子就是說設備端跟材料端都是日本最強的那如何大家一起努力這是很重要的關鍵我請部長 院長特別注意一下好不好好 那另外一個部分呢最近這個AI的部分這打得很兇這個中共的部分大打資訊戰假帳號從去年到前年比較起來多了一倍
transcript.whisperx[267].start 22020.441
transcript.whisperx[267].end 22035.877
transcript.whisperx[267].text 特別依賴疑軍或疑美我調了國安局的資料來看整個包括丹奧斯颱風也好或台積電赴美投資也好或美國關稅也好國安局所調查的資料顯示當中2004年那時候的假帳號有282162005年變45550將近倍增
transcript.whisperx[268].start 22042.384
transcript.whisperx[268].end 22070.175
transcript.whisperx[268].text 所謂的異常帳號就是藉由非真實使用者的社群帳號來說正被徵的情況底下要怎麼處理我曾經私下問過這一個書發部的部長林部長跟我表示說可以用這個數位憑證皮夾透過編碼的方式而不涉及各自的可能性可是這個可能性需要什麼需要平台的同意啊海外的平台FB還有IG也好要需要Meta的同意
transcript.whisperx[269].start 22070.976
transcript.whisperx[269].end 22083.031
transcript.whisperx[269].text 國內的部分D咖也好PTT也好他需要國內業者的同意這個部分沒有辦法一一去要求如果這樣子的話Meta不同意的話那我們不是不能做了嗎部長有沒有其他的方法
transcript.whisperx[270].start 22084.183
transcript.whisperx[270].end 22110.919
transcript.whisperx[270].text 是 那個委員這個意見非常好那事實上我今天早上才從那個矽谷坐飛機回來那我前天有去拜訪Google的總部也提到這個想法那他們基本上回應是正面的他們也認為說我們現在在那個社群裡面譬如說在YouTube的社群裡面查一個影片它本身就是一個帶風向的議題結果下面有一萬人在按讚其實有八九千個其實都是殭屍賬號
transcript.whisperx[271].start 22115.401
transcript.whisperx[271].end 22140.029
transcript.whisperx[271].text 提醒你今年又選舉年喔今年會更嚴重喔Meta會不會同意我就問你Meta會不會同意Meta我們還沒跟他談到現在為止還沒跟Meta談你每次都要跟Meta同一次遇到每件事情就談一次上次我們很多事情每次都要拜託他一樣甚至還要飛去美國那個院長有沒有可能之前我們推的數位服務法來弄一個數位平台管理法有沒有可能性啊
transcript.whisperx[272].start 22140.931
transcript.whisperx[272].end 22162.485
transcript.whisperx[272].text 我想數位部他一直有跟其他的平台業者在保持各種的要求像過去到現在對詐騙我們也進展不少那既然是有這個新的行為希望數位部能夠儘快的去跟各個平台業者達成這樣的要求達成共識這件事情應該趕快達成有它的急迫性比較長遠來說應該是第一個數位平台的管理辦法嘛對不對
transcript.whisperx[273].start 22163.385
transcript.whisperx[273].end 22179.843
transcript.whisperx[273].text 用這種方式才能一了百了不然每一件事情都是這樣子同樣一個AI的問題提醒部長跟院長一下中國的AI的發展狀況非常的快就是我的LLM被中國滲透了這篇誰寫的就林益晉林部長寫的啊那為什麼中國會這麼強
transcript.whisperx[274].start 22182.606
transcript.whisperx[274].end 22208.851
transcript.whisperx[274].text 國防部安全研究院也有查在2025中共政軍的發展評估當中就提到中國的AI發展是處於全社會協同的方式也就是用高度整合又持續擴張的方式他們透過科技巨頭也好透過國家的研究機構也好類似這種AI的這種方式轉到軍事智能化又回到剛剛網軍的資訊戰又倒打回來可是台灣的現況我跟院長報告一下
transcript.whisperx[275].start 22209.531
transcript.whisperx[275].end 22224.535
transcript.whisperx[275].text 目前台灣的LLM的資源沒有整合誰在做?科技大廠在做,鴻海在做,廣大在做金融業者在做,玉山在做,台科大在做然後另外國家有做,國科會有做,我們數位部有做
transcript.whisperx[276].start 22225.235
transcript.whisperx[276].end 22242.964
transcript.whisperx[276].text 就分散完全沒有整合我是不是請院長授權給部長請部長來主責這件事情也找一位政委來協同來整合外在的資源打造一個國家隊來成立屬於台灣的LM有沒有這個可能性 部長跟院長回答一下
transcript.whisperx[277].start 22243.484
transcript.whisperx[277].end 22267.492
transcript.whisperx[277].text 是現在全世界都知道中國各種滲透尤其是這種網路AI的滲透無所不在台灣更是首當其衝其實我們早就由國科會跟速發部在就主權AI的這個向下做全面的一個推進當然我們的速度沒有很快因為起步也比較慢這我們都承認因此我們列在新十大建設AI新十大建設裡面就這麼一塊主權AI我們會加快速度
transcript.whisperx[278].start 22267.932
transcript.whisperx[278].end 22292.441
transcript.whisperx[278].text 我們現在為止Google是有跟我們合作加入我們的主權AI可是基本上OpenAI沒有所以說他們習慣用一簡體中文而不用一繁體中文這個問題會很大我們有大量的資料去訓練我們AI的環境那以後會落後中國越來越多這個部分部長你要跟院長講啊是跟委員報告一下關於那個主權AI的方面我們有兩個重要的政策第一個是說
transcript.whisperx[279].start 22293.181
transcript.whisperx[279].end 22318.602
transcript.whisperx[279].text 我們就是建制了台灣主權AI訓練語料庫提供給美國的像Anthropic跟那個Gemini這種大型語言模型讓他們來訓練這樣子以後他訓練出來的模型就會有台灣的觀點而不是只有中國大陸的觀點這是第一個部分那第二個部分是什麼我們希望這些大型語言模型在台灣設立他們這個AI算力中心你的技術面都沒有問題我可以理解但是現在外部
transcript.whisperx[280].start 22319.563
transcript.whisperx[280].end 22348.823
transcript.whisperx[280].text 外部資源整合問題才是現在最大的台灣發展也沒有辦法打團體戰那個關鍵我就是要在這邊請院長找一個分工的方式讓整個數位部有更大的能力去跟外界這些通訊業者也好金融業者也好還有包括科技業者也好打造一個屬於台灣的一個團隊出來有沒有可能現在我們文化部教育部 園民會 科委會以及各種機關超過200個在目前我們有初步的進展有3000筆的資料已經集中起來另外我們創造了有
transcript.whisperx[281].start 22349.603
transcript.whisperx[281].end 22373.559
transcript.whisperx[281].text 1億個Token 池宇這個是我們最基本的那有那個基本設計要擴大速度一定會比過去快我簡單的講民間做民間的啦企業就企業的啦不同行業做不同行業的政府做政府的啦我們一定要把它統合起來因為台灣本來就不夠大嘛院長我的重點是這個所以麻煩院長指示一下看分工一下請一位政委來協同這一個速發部來做這個分工做有沒有
transcript.whisperx[282].start 22374.099
transcript.whisperx[282].end 22398.299
transcript.whisperx[282].text 就是國科會吳承維主委 吳承維政委他就是在負責這個部分就麻煩一下嘛 加強一下嘛整合一下好不好 聯同民間了那另外的部分 院長這個有關於南科的發展跟未來南科時期的發展速度非常的快我們對產業界 對護國省 台積電全面的開綠車拿掉速限 我們都可以理解
transcript.whisperx[283].start 22399.039
transcript.whisperx[283].end 22419.784
transcript.whisperx[283].text 昨天才通過台積電三座二奈米的環屏現在最快就本季動工去年才宣布而已另外還有一個四月底會進入環屏的是1.2奈米的砂輪廠就是所謂你去年12月核定的南科四企這些現象都是好現象我們都需要這個科技企業我們需要台積電可是出現一個很大的問題
transcript.whisperx[284].start 22420.544
transcript.whisperx[284].end 22436.552
transcript.whisperx[284].text 也就是說產業發展的速度飛奔可是生活機能的發展速度卻落後也就是說住宅不足 交通擁擠 公共設施不夠每一次地方的通盤檢討都要花個五年真正通盤檢討要超過十年
transcript.whisperx[285].start 22437.765
transcript.whisperx[285].end 22467.085
transcript.whisperx[285].text 所以說根本來不及產業的發展所以我想要請內政部長商量一下啦現階段不論是接下來沙崙發展的特定區也好或者是南科這個區也好都是台南發展最重要關鍵有沒有可能在國土規劃第一期進行通平檢討的情況底下提出一個所謂的先期規劃讓周遭的生活也得以提升因為隨便一個二奈米廠
transcript.whisperx[286].start 22467.785
transcript.whisperx[286].end 22472.068
transcript.whisperx[286].text 兩點跟委員答覆第一個為了支撐我們高科技產業的快速發展我們在全國六大產業生活圈我們已經擬定了各生活圈的計畫
transcript.whisperx[287].start 22491.98
transcript.whisperx[287].end 22517.348
transcript.whisperx[287].text 第二個在施政報告裡面我提到從土地的開放從法規的開放就是要來滿足生活圈施政高科技這樣過程所必須付出的時間跟流程的減變我拜託一下劉部長多關心一下台南好不好拜託拜託謝謝院長另外還有一個最現實的問題農民的問題我今天看到早上農民還傳給我有關於美食今年才漲兩成而已
transcript.whisperx[288].start 22518.308
transcript.whisperx[288].end 22544.406
transcript.whisperx[288].text 然後呢 不論是柚子也好 不論是這個芒果也好今年都會很嚴重這幾年的天災地變特別的多啦所以我一再要求說 農業部一定要把天然災害的這個補助的上限打開農業部在3月24號已經對外公布 已經打開了也不要局限一年一次 農業部也接受了可是還有一些國品 包括臨角 包括蓮子這些都還沒有開放 這是第一項
transcript.whisperx[289].start 22545.367
transcript.whisperx[289].end 22572.46
transcript.whisperx[289].text 第二個呢包括這個梅子的部分今天早上很多農民都非常的擔心啊台南從來沒有補助到可是高雄有栗子可是台南就不行台南為什麼不行說因為土地分區有問題啊土地分區為什麼是不行因為是林務局管的事實上你要從一個實際耕作者的角度以前我們都從實際耕作者的角度有種植的事實你就要補助他事實上有因為天災而受害的事實嘛這個部分部長院長能不能體恤一下農民的辛苦啊
transcript.whisperx[290].start 22573.288
transcript.whisperx[290].end 22597.935
transcript.whisperx[290].text 好謝謝委員我想分兩個部分回答第一個部分就是委員所關心的非常多的這些額度我們整體平均以及從20%提高到25%那委員所關心的這些品項有一部分是我們成本還在做一個分析我們後續的話如果說成本的分析確定以後我們會再來做相關的調整那天然災害補助20可以最高到多少到25了已經到25了因為到25有沒有可能到30
transcript.whisperx[291].start 22599.481
transcript.whisperx[291].end 22603.804
transcript.whisperx[291].text 我想這個會連動到我們現勘的那個百分比市公司跟作者有任何爭辯?市公司跟作者?不要受限於一定的分區啦這個我回來再質疑請你質疑一下,前作者是錯啦我有臨時定義關係的問題喔市長還有關係想問嗎?請問一下
transcript.whisperx[292].start 22629.943
transcript.whisperx[292].end 22640.492
transcript.whisperx[292].text 好 請農業部把解決計畫送我們郭國文委員辦公室好 謝謝好 謝謝郭國文委員質詢謝謝主任長 各位首長的備詢接下來我們請陳昌明委員質詢 邱志偉委員請準備
transcript.whisperx[293].start 22659.372
transcript.whisperx[293].end 22663.856
transcript.whisperx[293].text 主席首先有請我們卓院長麻煩再請卓院長備詢
transcript.whisperx[294].start 22674.884
transcript.whisperx[294].end 22696.182
transcript.whisperx[294].text 陳委員好 卓院長好 昨天謝謝你謝謝你 大家苗栗的一件大事 恭喜的事情你的演講實在說得很好在這今天是我們館長 總統任縣長特別感謝你不敢不敢不敢你這樣中央協助美光到銅鑼科學園區去揭牌去設廠
transcript.whisperx[295].start 22698.044
transcript.whisperx[295].end 22715.865
transcript.whisperx[295].text 帶給苗栗一個翻天覆地的改變因為苗栗在新竹科學園區北中樂化南就是台中科學園區但是長期都被忽視這是美光帶進來的話可以說給地方的產業有很大的一個改變
transcript.whisperx[296].start 22716.866
transcript.whisperx[296].end 22735.637
transcript.whisperx[296].text 尤其目前能造就2500個人的就業機會未來可能會達到1萬人因為他準備在那個地方大投資他看上那個地方風景好百姓很純樸而且剛好跟台中新竹他管理的非常方便
transcript.whisperx[297].start 22736.457
transcript.whisperx[297].end 22759.009
transcript.whisperx[297].text 所以我這邊要特別拜託我們丑院長多多重視苗栗雖然票你們贏也是沒有贏過但是我相信牡蠣已經有推進了讓苗栗縣能真的把它起飛、發展起來這點特別拜託那有談到水庫的問題、電的問題苗栗縣全都給你支持
transcript.whisperx[298].start 22762.171
transcript.whisperx[298].end 22769.239
transcript.whisperx[298].text 所以在施工期間都非常平平安安順順利利管部長也在旁邊你昨天的時候
transcript.whisperx[299].start 22771.989
transcript.whisperx[299].end 22799.089
transcript.whisperx[299].text 這邊我也講了很多次了那個桃子苗大溪谷激發苗栗有三個地方一個是竹蘭科學園區的第二期一個是桃園科學園區一個後龍產業園區昨天你們來了我相信應該更有信心來幫助苗栗縣發展它整個科技因為科技能帶動一個良性的循環這一點我特別的拜託
transcript.whisperx[300].start 22799.87
transcript.whisperx[300].end 22820.38
transcript.whisperx[300].text 多多關注苗栗縣現在高雄台南加一都發展起來了我們那塊的保地你應該多多的重視好不好好謝謝昨天報告現場所提到的水資源的問題還有建築剩餘土方的問題我們都已經積極在處理了其實那個土方問題他提的方法是非常的好啊
transcript.whisperx[301].start 22820.64
transcript.whisperx[301].end 22848.607
transcript.whisperx[301].text 昨天公布場結束之後還虔誠的去騎雨結果昨天就開始下雨謝謝你啊我再拜託昨天是苗栗縣非常光榮也非常履歷有光榮的一天大家都非常的興奮謝謝中央跟地方這樣合作就是最好的表態你中央來支持地方地方也一定配合全力配合我們中央的政策我再次的拜託多多照顧苗栗縣好 謝謝那我再來請我們執事長
transcript.whisperx[302].start 22866.671
transcript.whisperx[302].end 22881.619
transcript.whisperx[302].text 陳主席長今天請你上來你一般把你認為你是冷牙但是我一直跟你在談的事情發覺你非常接地氣你這種來選民意代表或縣市長我們都很怕
transcript.whisperx[303].start 22883.269
transcript.whisperx[303].end 22909.767
transcript.whisperx[303].text 你不要不好意思我們張本宇縣長會請我說特別要感謝因為財政數字化分化苗栗縣是被財政監管的一個縣市台灣省維英當時財政數字化分化的時候你把他列在第一位好 把我們比比準不知道怎麼說這樣你把四條要怎麼發動但是一直跟你協調溝通你馬上了解狀況
transcript.whisperx[304].start 22910.928
transcript.whisperx[304].end 22922.784
transcript.whisperx[304].text 因為你以前在省政府做過也在台南市政府做過所以你一講的時候你也很客氣就會竭力的幫忙結果也是我們賴總統跟我們
transcript.whisperx[305].start 22926.141
transcript.whisperx[305].end 22943.157
transcript.whisperx[305].text 左院長的一個決定,把他從一級降到十級,讓我們喘了一口氣讓我苗栗縣有發展的機會所以這次機會特別表揚你,也特別感謝你現在沒錢,都讓你控管理都沒辦法,一定你早上去,覺得苗栗縣好啊
transcript.whisperx[306].start 22950.043
transcript.whisperx[306].end 22962.68
transcript.whisperx[306].text 如果財政收支發文法改為布局的話你拜託給我五年的緩衝期苗栗縣就會生農豪雨這點我要特別跟你拜託確確實實我們政府是這樣苗栗應該要更美麗才對啊財政收支發文法這個
transcript.whisperx[307].start 22967.666
transcript.whisperx[307].end 22985.695
transcript.whisperx[307].text 修訂之後苗栗確實是在集數裡面來算是第一集但是 給中央這種調節的彈性的能力我們就有辦法來更對地方做更多的照顧我想目前是及次如此
transcript.whisperx[308].start 22986.235
transcript.whisperx[308].end 23011.453
transcript.whisperx[308].text 即便是財政收支發分法的內容也是如此我們一直希望保持中央更好的彈性所以請委員能夠支持院版的財化法能夠再度的修正財政收支發分法應該兩方面要來好好談一談各讓一部起中間室我相信台灣會更好我們都會了解這一切好不好 執記長謝謝你特別表揚你不然坐在那邊給你活動活動一下
transcript.whisperx[309].start 23013.735
transcript.whisperx[309].end 23019.218
transcript.whisperx[309].text 好 謝謝再來請財政部長請財政部長備選那個卓院長 這個是我第二次質詢你我說啊 以台灣產業經濟發展的角度讓台灣的家熱於去打世界的市場
transcript.whisperx[310].start 23043.683
transcript.whisperx[310].end 23058.248
transcript.whisperx[310].text 那我為什麼一直談這個?因為台灣的電子業非常發達所以這個加熱於的時候跟台灣的電子產業有關係你不要看我吃飯報告院長,那個市場很大我們台灣的漁品市場一年大概有兩千億的規模
transcript.whisperx[311].start 23064.434
transcript.whisperx[311].end 23084.045
transcript.whisperx[311].text 那加熱菸的話大概有五百億的規模這可以一十十億、三十十億美金在外面去爭奪市場我相信給台灣一個機會會達成很漂亮的成績所以現在我們台灣只有被美商、日商來獨佔
transcript.whisperx[312].start 23086.306
transcript.whisperx[312].end 23112.473
transcript.whisperx[312].text 台灣的加熱儀沒有加速機會這主要原因就是全世界只有美國跟台灣要求加熱儀上市以前要提供健康風險的評估審查只有美國、台灣、日本沒有這樣我們最崇拜的日本沒有這個要求因為以下的防治法規定製造外銷我現在說的外銷
transcript.whisperx[313].start 23114.589
transcript.whisperx[313].end 23143.167
transcript.whisperx[313].text 也要經過健康風險的評估這樣的規模這樣的做法看起來很先進啦但是我要說我們自綁手腳我要懷疑政府的作為為什麼給美商給日商進來台灣已久公司幾十年的老公司台灣的電子業那麼強壯那麼強盛在要賣東西賣不回來大家都找不到你們要健康風險評估是怎樣
transcript.whisperx[314].start 23144.328
transcript.whisperx[314].end 23171.15
transcript.whisperx[314].text 請你把美國跟日本的健康風險評估給我們參考一下你們也不送我不曉得你們的態度是怎麼樣那為什麼一直在強調好啦不要抽煙毒害台灣人日本美國的加熱煙能到台灣來毒害台灣人好你們允許他我不要在台灣做我外交可以吧那這個思維的觀念要蓋啊
transcript.whisperx[315].start 23172.691
transcript.whisperx[315].end 23199.553
transcript.whisperx[315].text 因為這個市場太大了不亞於電子的市場,我跟你講啊你看法怎樣,你上一次都講叫他們加油那台語公司特別感謝喔因為關於昨天沒有人敢講話,我敢講話他們非常感謝喔,說我真正把他們的聲音發聲出來連竹鎮黨的都不敢講大家都默默委屈,我覺得不能容許這樣的情形在台灣發生
transcript.whisperx[316].start 23200.914
transcript.whisperx[316].end 23217.583
transcript.whisperx[316].text 你看法怎麼樣我第一遍講啊好 謝謝委員加農菸我們第一個階段希望它能夠在台灣合法的上市所以現在已經達到第一階段了那第二個階段我們希望本地自產的產業也能夠持續的加強能夠達到這樣的標準
transcript.whisperx[317].start 23219.904
transcript.whisperx[317].end 23247.021
transcript.whisperx[317].text 加入到整個營運在生產國內的這個行列裡面來那至於說未來依照營業方法的種種的規範以及要不要外銷那是等到我們在地生產產業更健全之後他依照他產業自行的營運才去瞭解去進行我們外銷的產業主要外銷地區的國家的需求就可以了他敢外銷那也很難導致大家怎麼敢隨便做
transcript.whisperx[318].start 23248.001
transcript.whisperx[318].end 23259.53
transcript.whisperx[318].text 我告訴你外銷要開放啊我們盡量讓我們的產業,國內生產的快點建築起來它才能領略提供國內,也提供外銷現在第二階段要趕快把它處理
transcript.whisperx[319].start 23261.041
transcript.whisperx[319].end 23279.119
transcript.whisperx[319].text 你在這邊站著也不發表台灣已久公司感謝我都沒有感謝你所以不要太保守啦我們的衛福部啊拜託拜託外銷的產業國內我必須 我不銷我會不徵這個市場大概要徵很困難的
transcript.whisperx[320].start 23280.04
transcript.whisperx[320].end 23299.7
transcript.whisperx[320].text 我跟你講台灣醫療公司也沒有辦法競爭啊那抽菸是一個習慣如果能外銷我們打出一條路出來嘛我們不要自我設限好不好你看法怎麼樣部長委員跟你說明齁就是台酒這個菸齁我們有在給它輔導啦齁它要經過一些健康的測試
transcript.whisperx[321].start 23300.821
transcript.whisperx[321].end 23320.311
transcript.whisperx[321].text 危害的評估我們再輔導他至於我剛才說的內銷跟外銷要脫鉤因為現在厭害防治法二十六條它是規定指定菸品沒有經過健康風險評估許可的製造輸入都是違法這個罰則也很大
transcript.whisperx[322].start 23320.771
transcript.whisperx[322].end 23339.278
transcript.whisperx[322].text 沒有那一條 他只收26條 這條要內銷跟外銷外銷我們應該通過啦我們來研究一下啦什麼研究一下啊 時不宜我為了啦人家在搶市長 台灣你以為這樣搶我們要多方面的啦這個增加外揮很嚇人
transcript.whisperx[323].start 23340.859
transcript.whisperx[323].end 23368.227
transcript.whisperx[323].text 我跟院長報告可能沒有抽菸啦你不了解這個市場抽菸適量就好我跟你講有抽也不錯啦我不要說好啦最起碼精神病會減少很多啦施減壓力啦現在各方面我希望這一點能突破以往的思維好不好不過委員還是可以禁菸就禁菸我的解釋啦 我的觀念很太多不要這邊跟我講廖廣明要告時齁你們那個反菸團體一來你們就怕了
transcript.whisperx[324].start 23371.068
transcript.whisperx[324].end 23397.958
transcript.whisperx[324].text 現在有幾好不一定就有兩好啦用各種思維去考量讓台灣的產業能繼續的發展打出一條台灣真正品牌的一條道路好不好那衛福部副市長請你回座現在才正好這個我訂的台詞我愛描的麻煩你就是自然製品廠活化轉型讓地方共創酸硬的一個問題
transcript.whisperx[325].start 23399.352
transcript.whisperx[325].end 23421.821
transcript.whisperx[325].text 那臺灣醫療公司在職蘭製品廠不過一定在市中心裡面最精華的地區佔了6公頃那是在我資深所在地職蘭村製品廠已經生產不符合經濟的效益在民國114年9月就停工改採外購
transcript.whisperx[326].start 23423.682
transcript.whisperx[326].end 23449.091
transcript.whisperx[326].text 大家都怕勞工反對那製品廠有79位的員工因為因應你們對外的採購部分調整回直覽啤酒廠你們那裡就有一個該打的啤酒廠在我們直覽鎮院長有空下來喝一喝18度的清涼啤酒非常讚又新鮮的目前只剩下17名員工在那個製品廠
transcript.whisperx[327].start 23450.572
transcript.whisperx[327].end 23467.508
transcript.whisperx[327].text 六公頃的土地那麼大的廠房只有十七名的員工這叫做是浪費資源所以你一定要想你覺得財政部一直想要去收集錢我們也要想要怎麼賺錢所以在這個地方
transcript.whisperx[328].start 23469.298
transcript.whisperx[328].end 23496.097
transcript.whisperx[328].text 整個苗栗縣政府除了我們直覽的鄉親都希望把最快土地的活化那我們中東景縣長也一直強調不然你這個直覽製品廠在整個直覽鎮變成市中心一個獨立環境像這麼大地啊 沒什麼健康地啊我希望這邊能真正的活化來帶動地方的一個繁榮發展因為我們這個地方不錯已經超過十萬的人口
transcript.whisperx[329].start 23497.938
transcript.whisperx[329].end 23518.894
transcript.whisperx[329].text 畢亞與紫北市質量投入加起來大概跟紫北市一樣所以我希望這塊你要自動來跟我們談還是我請苗栗縣政府跟你談如果來活化這塊土地也請院長支持不然財政部的時候都比較保守他只有想收入怎樣去這塊土地起來你也知道
transcript.whisperx[330].start 23520.854
transcript.whisperx[330].end 23538.559
transcript.whisperx[330].text 最近財政的收支很棒,對地方幫忙很大,這一點沒人幫忙會不會幫忙竹南製品廠的活往跟委員說明一下竹南這個製品廠確實在去年的9月28號就停止生產這個酒瓶現在只做那個啤酒瓶的烙印
transcript.whisperx[331].start 23539.315
transcript.whisperx[331].end 23568.776
transcript.whisperx[331].text 那這個場區確實大然後如同委員所說的所以我們認為我們會要求菸酒公司就這塊土地要去做綜合的評估要做多元的多元方式的活化跟運用然後在運用的之前要跟地方政府要能夠討論那麼討論出一個模式是對地方能夠發展更好然後對這個不動產的那個資源可以做更好的運用這個部分我們會請菸酒公司做這方面的努力
transcript.whisperx[332].start 23569.096
transcript.whisperx[332].end 23595.553
transcript.whisperx[332].text 後庭你告訴我我們要合法第一個你土地一定要重劃因為在肆虐鎮的一個中央裡面給你開工廠未來都不可能你應該是你們要同意苗栗縣政府跟宜久公司就討論這一塊土地要如何來規劃土地是你們的我們是從旁協視但是你工廠在那邊讓我們地方的繁榮
transcript.whisperx[333].start 23596.674
transcript.whisperx[333].end 23614.956
transcript.whisperx[333].text 有所阻礙,我是說你大陸這一點先做,不要講理由那阿伯土地你們要怎麼發掘是你們決定的,不是我們苗栗縣政府責然存在決定好不好,我們希望那塊土地能蓋百貨公司或是什麼人家會去投資因為我們已經有具備這樣的條件了
transcript.whisperx[334].start 23616.978
transcript.whisperx[334].end 23640.389
transcript.whisperx[334].text 這樣你知道嗎好我們會跟苗栗縣政府一起討論讓這個地方發展也好土地也能夠有效的運用我希望三四個月就有成果出來選舉的要到我今年不用選舉我不用那個很多人都說這個問題我長久在談什麼一直沒有解決我希望在我任內能把這個問題解決好不好一切拜託啦謝謝好謝謝你
transcript.whisperx[335].start 23644.704
transcript.whisperx[335].end 23655.034
transcript.whisperx[335].text 院長,整個事情你應該很清楚要求你拜託再來談教育部長請教育部長現在
transcript.whisperx[336].start 23661.618
transcript.whisperx[336].end 23675.948
transcript.whisperx[336].text 我們苗栗縣直覽投入聯合都市計畫加起來大概有22萬人口跟植北市差不多一樣它又緊鄰的新子市跟新子縣都是跟共法地區在一起
transcript.whisperx[337].start 23676.857
transcript.whisperx[337].end 23695.416
transcript.whisperx[337].text 那因為這幾年苗栗縣整個都有在改進在進步之中那我們緊鄰著新竹科學園區台中科學園區該重要我們苗栗的房價比新竹市紫北市比
transcript.whisperx[338].start 23696.357
transcript.whisperx[338].end 23710.966
transcript.whisperx[338].text 那個台中市還要低了大概二三十%所以很多新竹科學園區的人一直永逸直來因為我們交通的系統非常的便利隔壁新竹市新竹縣科學園區
transcript.whisperx[339].start 23712.206
transcript.whisperx[339].end 23728.415
transcript.whisperx[339].text 職人投入到科學園區比薪職需要到科學園區還要快大概二十幾分就能到了所以人口一日的非常多當然職人有科學園區台積電的Covas的一個進入這幾年人口信誓的增加
transcript.whisperx[340].start 23729.586
transcript.whisperx[340].end 23751.865
transcript.whisperx[340].text 竹南鎮這幾年有國道3號還有台61線西濱公路高架化還有國道1號跟舞陽高的延伸所以交通非常便利醫療系統也在我們賴總統我們卓院長這樣的一個幫忙之下苗栗集中醫院也開始在建立
transcript.whisperx[341].start 23752.642
transcript.whisperx[341].end 23770.431
transcript.whisperx[341].text 大圈醫院大概600多床的醫院也在建立通宵同綜合醫院也在建立還有縣裡的綜合醫院女綜合醫院也準備在擴建之中都準備在這醫療在苗栗大大的投資所以大家喜歡
transcript.whisperx[342].start 23771.618
transcript.whisperx[342].end 23786.294
transcript.whisperx[342].text 比較喜歡來苗栗啦那苗栗尤其自然說頭文的話人口薪資增加教師不夠啦現在還要去...要去組合屋啦大概起來要...
transcript.whisperx[343].start 23790.139
transcript.whisperx[343].end 23806.247
transcript.whisperx[343].text 頭份的話大概要35間教室 照然國中啊 竹蘭要30間 要8億多啦啊 管政府就大概出2、3億而已 出的可以幫我們補助一下不要再住那個組合屋 沒看到的啦
transcript.whisperx[344].start 23807.93
transcript.whisperx[344].end 23831.911
transcript.whisperx[344].text 部長你不回答看起來不怎麼贊同啊沒有 部長很有做法的你請部長說明感謝議員關心我們孩子的教育我想委員剛才所提的確實因為竹竹南他確實因為產業的一個活絡然後成為這個喜多這個外來人口包含在地人口都增加所以我們在
transcript.whisperx[345].start 23833.363
transcript.whisperx[345].end 23842.667
transcript.whisperx[345].text 這一個行政院有一個新興人口的一個成長去成立高中職以下的這個校舍的一個新建工程計畫我們事實上對苗栗的
transcript.whisperx[346].start 23843.874
transcript.whisperx[346].end 23866.48
transcript.whisperx[346].text 這個投訓國中也有這個全額補助的1.7億元然後其實這個教室也提供了有大概有20間的教室你以為起來一個人都飲料啊教室還不夠我們賴總統下去在義民廟要講說他會全力解決這個不曉得你有沒有因為義民廟討錢公的喔去到苗栗
transcript.whisperx[347].start 23867.14
transcript.whisperx[347].end 23879.078
transcript.whisperx[347].text 整整一整天去看了一些中小學也感謝委員關心那我想我們在許多的這些學校裡邊我想我們中央跟地方一定會來看未來許多的教室
transcript.whisperx[348].start 23882.503
transcript.whisperx[348].end 23901.787
transcript.whisperx[348].text 苗栗的許多的學校的一個新蓋完以後在未來的教室裡面的一些設備需求我們教育部再看來怎麼樣跟地方來一些合作我現在談的未來的需求我們都曉得教育日益的中心但是現在一定在撐撐要挖80間的教室在這就難免之急
transcript.whisperx[349].start 23905.682
transcript.whisperx[349].end 23923.877
transcript.whisperx[349].text 幫全民幫忙趕快解決這個問題跟委員報告,我們其實都在那個人口的變動,我們都有檢驗人口的高尺來這邊怎麼減價,我們都陷阱都有我講到阿固看起來都在講,我會我會,但是我不曉得沒有,我們確實已經有做過我還是跟委員報告一件事情
transcript.whisperx[350].start 23927.599
transcript.whisperx[350].end 23953.195
transcript.whisperx[350].text 剛剛部長說的那個新興的人口增強的地方增加的地方的校舍新增或新建的計畫從111到114年編列了70億那114年之後的現在中央地方財政的結構已經不一樣我們是否有能力中央再編那麼多的協助地方或是地方應該用地方自治事項來自己來完成更多的工作這正待中央跟地方再進一步的協調
transcript.whisperx[351].start 23954.329
transcript.whisperx[351].end 23964.709
transcript.whisperx[351].text 好 現在什麼都卡在財政措施上我們大家要來努力解決這個矛盾的問題其實這個對立法委員是不好的
transcript.whisperx[352].start 23965.526
transcript.whisperx[352].end 23983.893
transcript.whisperx[352].text 如果這樣分配的話立法委員沒有什麼職權你們都不了解我當過省議員才了解這個現象委員你說到很重的重點我不能亂講我只是把我真實的狀況給大家了解地方現場的實權都比較大
transcript.whisperx[353].start 23985.053
transcript.whisperx[353].end 24011.593
transcript.whisperx[353].text 大家稍微調整一下能互相滿足對方大家照著這個程序來進行現在講什麼都是財政收支方法進退兩難好不好 一起努力來解決謝謝 部長謝謝委員的關心 我想這個教育這個我們會努力我相信你 你的台語講得很好請回座再來交通部 還有時間
transcript.whisperx[354].start 24023.746
transcript.whisperx[354].end 24045.081
transcript.whisperx[354].text 好 我們年輕又英俊的陳部長那我很遺憾 我本來對你帶著一個期盼跟期待房地交流道雖然公路級已經核定了但是你核定的公文 核得不甘不厭的樣子當然看起來也是財政措施和文化的影響
transcript.whisperx[355].start 24046.022
transcript.whisperx[355].end 24072.597
transcript.whisperx[355].text 你說那個聯絡道路都要全部我們來負擔以前你們去幾個部長從你們當交通部長每一個答應苗栗縣財政困難我們會全力支持我們前額負擔來跟你出來都翻盤了我告訴你 我要很相信你我說你沿途給我觀賞你給我寫那本文我看到很傷心我覺得我不怎麼信任你啦
transcript.whisperx[356].start 24073.732
transcript.whisperx[356].end 24089.53
transcript.whisperx[356].text 報告委員你說的這個院裡這個交流道的部分在您的關心之下我也已經簽合了這個沒有問題但確實我們交通部包含公路局所未來可以支應的這個公件的預算其實是降低了不少在整個財政收支劃分法之後
transcript.whisperx[357].start 24090.171
transcript.whisperx[357].end 24107.796
transcript.whisperx[357].text 那您剛剛也有提到一個重點就是說現在縣府的能量其實加大很多中央的政府其實我們能夠給地方的錢就少了所以這個部分我們如果能負擔我們當然會協助但我們目前看起來是無法負擔所以交流道的部分全額我們會來處理我知道交流道全額你的聯絡道土地徵收要我們那土地徵收我們來輸
transcript.whisperx[358].start 24114.838
transcript.whisperx[358].end 24129.282
transcript.whisperx[358].text 那聯絡大陸中央吃一半,我苗栗吃一半我去協調溝通,不然我也不知道你合定下來會完成還是不完成,那差很多啦一兩年啦我們研究一下啦但是聯絡大陸的部分因為你常常去,可是你由於沒有片啦
transcript.whisperx[359].start 24136.864
transcript.whisperx[359].end 24151.504
transcript.whisperx[359].text 你應該要做出來給他們看啦好不好謝謝啦,感謝你也對台中市民講話那條聯絡道路土地費用苗栗縣政府來支出但是聯絡道路的工程費用個人負擔一半
transcript.whisperx[360].start 24152.642
transcript.whisperx[360].end 24159.764
transcript.whisperx[360].text 好嗎 答應下來啦這樣要求 拜託你跟我說幾十年都說好 現在突然反擊我們民主要發展不是我民主的好 會可以討論的齁一定齁 一人一半 我想這樣進去就好
transcript.whisperx[361].start 24173.507
transcript.whisperx[361].end 24191.884
transcript.whisperx[361].text 答應下來還有我提出三百話這個也很重要第三年一年沒有改變從到現在第七屆到現在十幾年我都一二十年都在談了這裏面只有談文跟大山還沒有
transcript.whisperx[362].start 24193.565
transcript.whisperx[362].end 24207.91
transcript.whisperx[362].text 雙軌化還有白沙屯跟新埔沒有雙軌化通宵到宴旅沒有雙軌化但是日蘭跟大甲好像是走了所謂台商重要苗栗不重要都一直拖延到現在
transcript.whisperx[363].start 24208.75
transcript.whisperx[363].end 24232.802
transcript.whisperx[363].text 這農村的經費只有六十幾億農村十五點九公里這三個地段你持續把它打通你南部什麼捷運什麼一發都七百億七百億加才六十幾億七十億而已啊報告委員這個部分我也很關心因為這個價位是為彈紋一直到我們台中的追分到大陸那個對分所以我們是整大單位在討論這個雙規劃的部分因為這單位如果雙規劃我們整個運量可以大幅提升
transcript.whisperx[364].start 24237.984
transcript.whisperx[364].end 24238.984
transcript.whisperx[364].text 我們的計畫是從談文一直到台中的對婚
transcript.whisperx[365].start 24264.631
transcript.whisperx[365].end 24277.043
transcript.whisperx[365].text 所以是幾大作會啦,不是只說台中喔?是幾大作會?是幾大作一會兒之間嘛,一片要趕快來做啦有啦,我們現在是在中規規劃跟環評的階段幾大都要做,即是現在在中規跟環評的階段中規跟環評的階段走過就大約幾大作會
transcript.whisperx[366].start 24288.057
transcript.whisperx[366].end 24305.836
transcript.whisperx[366].text 這還要一段時間,因為這段是卡在台中那邊還有一些界面,譬如台中那邊跟沙陸火車站,這邊要怎麼吃跟他們的捷運怎麼吃,還有一些界面在討論,不然我們會中規和環評,我們也希望比較清楚這樣你的意思是台中好,到外面比較妙妙,妙妙感冒犯法
transcript.whisperx[367].start 24308.098
transcript.whisperx[367].end 24317.422
transcript.whisperx[367].text 這是講一個假話因為他是同一個計畫,在同一個計畫裡面一起做所以要整個看好好,最後一個問題燕尼火車站你也去那個雙軌化,那個跨戰士的夜台,歐益政府你就很窮算是答應我,要納入這個雙軌化計畫裡面又沒有
transcript.whisperx[368].start 24333.576
transcript.whisperx[368].end 24348.231
transcript.whisperx[368].text 納入裡面 現在要把它納入的時候要再重新計畫要來改變我看你們有沒有附帶測試把驗流的跨戰式的液體把它完成因為它東邊很熱鬧
transcript.whisperx[369].start 24350.996
transcript.whisperx[369].end 24373.537
transcript.whisperx[369].text 西邊的話很冷漠 靠近海邊的地方就是這條鐵路隔絕在那邊發展起來完全不一樣那西邊的話 包括苗栗縣族一大片的土地放置在那邊也都沒有什麼發展如果這邊把它做起來的話我相信對西邊的 因為你鄉親啦發展的機會就比較大
transcript.whisperx[370].start 24374.813
transcript.whisperx[370].end 24397.325
transcript.whisperx[370].text 你知道這個嗎?報告委員,這我還沒去看過,但是你這樣說是和你東西邊兩邊要合在一起,但是如果你要說...我們跨戰士的月台,要有電梯就好跨戰士月台我們可以討論...不然你那條沒有三軌化料沒辦法,因為我了解大概地方的情形不然你就把它繞一圈嘛,改變路線也可以
transcript.whisperx[371].start 24399.315
transcript.whisperx[371].end 24420.774
transcript.whisperx[371].text 沒關係,我來瞭解一下好,我們專案來瞭解,我拜託你,你眼睛又笑臉,一定要幫忙你每次到苗栗縣我就比比順你都去替我拉,不是拉給我的票,拉別人的票啊我這個帳沒有算,用這個來補一補好不好好,謝謝
transcript.whisperx[372].start 24425.694
transcript.whisperx[372].end 24442.366
transcript.whisperx[372].text 好 諮詢結束了好 謝謝謝謝陳委員 謝謝謝謝卓院長各相關部會所長貝君 謝謝我們下面委員諮詢完畢之後將會休息十分鐘十分鐘之後請張志倫委員準備諮詢接下來我們請邱志維委員請諮詢
transcript.whisperx[373].start 24456.159
transcript.whisperx[373].end 24482.451
transcript.whisperx[373].text 謝謝主席 也有請行政院卓院長 外交部林部長麻煩再請卓院長 教育部長備詢外交部林部長 經濟部龔部長還有國防部徐副部長時間暫停一下 我們硬體設備就是三位委員不要超過這個 好嗎OK 那就先請林部長跟龔部長好 謝謝麻煩請院長備詢外交部經濟部長 兩位部長請備詢
transcript.whisperx[374].start 24484.973
transcript.whisperx[374].end 24507.281
transcript.whisperx[374].text 謝謝邱委員謝謝部長辛苦了行政團隊也辛苦了這個第一個議題想請教卓院長跟行政團隊就關於CPTPPCPTPP過去8年我擔任立法院CPTPP促進會的會長那這個不是虛的這是很務實的所以12個會員國裡面我去過加拿大我去過秘魯 秘魯還去過兩次
transcript.whisperx[375].start 24508.5
transcript.whisperx[375].end 24536.202
transcript.whisperx[375].text 當然幾個重要的國家我們都掌握民主陣營大概就是英國、加拿大、然後紐澳那在東南亞的部分越南、馬來西亞、汶萊跟新加坡所以加上南美洲的智利跟阿密魯、吉尼亞執委會會員國的執委會是在越南召開越南召開對我們是非常關鍵入會的一年
transcript.whisperx[376].start 24538.156
transcript.whisperx[376].end 24557.462
transcript.whisperx[376].text 2021年我開完記者會之後老共馬上就提這個陸會申請我們玩了幾天但是2021到現在這個完全沒有成立陸會工作小組我覺得這個要從行政院的高度結合外交部因為外交部有駐外管處
transcript.whisperx[377].start 24558.849
transcript.whisperx[377].end 24580.107
transcript.whisperx[377].text 然後加上經濟組全力去跟所有的目前12個會員國請他們理解台灣已經完全達成奧克蘭三原則也有能力履行國際貿易的相關的承諾而且所有的規範都達到高標準現在就是12個會員國的共識這共識要慢慢累積而成的
transcript.whisperx[378].start 24581.246
transcript.whisperx[378].end 24603.947
transcript.whisperx[378].text 所以我今年初又去秘魯我跟大使討論過大使認為說秘魯可能會支持我們雙向支持這個應該是由外交部或者經濟部去跟外管做一個確認下個月我還要去新加坡還要再去越南為什麼越南很重要越南是我們南向政策最主要的國家
transcript.whisperx[379].start 24605.342
transcript.whisperx[379].end 24626.881
transcript.whisperx[379].text 這也是賴總統經濟日不落國的一個概念也是林部長所提出的榮邦計畫跟三鏈計畫裡面重要的內涵國家所以如果能夠利用越南當輪值主席國的時候在召開支委會的時候越南願意幫台灣加上日本的力量
transcript.whisperx[380].start 24628.322
transcript.whisperx[380].end 24653.897
transcript.whisperx[380].text 台日友好 日本一定要全力支持如果有日本全力支持就讓地主國願意在議程案上面更為友善你看我們跟台越的合作我們可以幫助他們技術升級也能幫助他們產業鏈的提升也能用科技做投資所以跟台越關係我們有的資源跟籌碼相對比較多
transcript.whisperx[381].start 24655.157
transcript.whisperx[381].end 24674.509
transcript.whisperx[381].text 所以為什麼提這個議題我希望說CPTPP是對台灣未來的這個在國際社會上的關鍵的一個重要的這個經貿力量所以勢必在最短的時間能夠加入當然政治因素我們當然了解都是中國的因素但是可操是在我們的我們一定要全力以赴
transcript.whisperx[382].start 24676.109
transcript.whisperx[382].end 24699.662
transcript.whisperx[382].text 所以我是拜託院長可以折成兩個部組成一個非常堅強的團隊對每個所有的會員國每一個動態都能夠充分掌握我作為一個促進會的會長八年我這個全部都自費去所以下個月我還去找新加坡的這個同大使然後這個越南的劉大使就針對這一題去做深入討論
transcript.whisperx[383].start 24701.092
transcript.whisperx[383].end 24707.097
transcript.whisperx[383].text 所以我希望說能夠在行政的高度能夠全力重視整合外交部跟經濟部的資源
transcript.whisperx[384].start 24708.174
transcript.whisperx[384].end 24732.307
transcript.whisperx[384].text 能夠在今年能夠達成最起碼成立台灣的陸會工作小組陸會工作小組成立之後我們第一步就踏出去這個請教一下好 謝謝委員提到奧克蘭山原則您也提到現在我們所剩的就是最後這個會員國的共識部分那我們也必須承認這當中存在的很多外交以及政治上的阻力
transcript.whisperx[385].start 24732.967
transcript.whisperx[385].end 24753.743
transcript.whisperx[385].text 但是我們在面對所有的我們領先相信國家的各種訪問交流就外賓來訪過程當中我們一再期待能夠協助我們那雖然CPTPP從它主導的國家美國日本的變化但是不為影響我們講進入這個國際經貨組織最大的一個目的所以我們會極力的爭取但是我也必須承認
transcript.whisperx[386].start 24755.164
transcript.whisperx[386].end 24780.133
transcript.whisperx[386].text 現在的一年多一年以來我們真的把重兵壓在對美談判所以我們CPP的過程當中我們真的我們是沒有在這一年當中有比較隨便的進展那現在談判已經到了最關鍵的最後階段我會請經濟部以及我們的整個談判工作團隊再把CPP重要的工作再做時程上的安排我們來設定時程設定目標分頭進行我們只有12個會員國裡面
transcript.whisperx[387].start 24782.034
transcript.whisperx[387].end 24801.006
transcript.whisperx[387].text 其中有民主國家民主陣營的就這個我剛剛說的這幾個國家然後日本台日友好日本可以幫台灣做很多事情加上今年的優勢在越南所以我期待這個12個應該很精準的工作目標工作期間設立起來這不僅經濟部外交部也會全力來協助這個工作請林部長說明一下對外的工作
transcript.whisperx[388].start 24807.422
transcript.whisperx[388].end 24818.175
transcript.whisperx[388].text 報告委員現在CPT力量是12個國家我們大概對美國國家的立場都有掌握確實如委員講的必須集中力量
transcript.whisperx[389].start 24819.246
transcript.whisperx[389].end 24844.12
transcript.whisperx[389].text 然後針對尤其是主席國能不能突破奧克蘭三原則讓我們成立台灣陸會的工作小組那以越南來說因為台商在那邊投資很多那我們跟他交流也非常的頻繁所以確實今年會是一個機會因為再來的幾年的主席國會是沒有像越南這樣子相對的
transcript.whisperx[390].start 24845.12
transcript.whisperx[390].end 24862.922
transcript.whisperx[390].text 目前今年越南是我們可以把握的戰略機遇期所以我提出這個議題就是希望說從行政院要整合兩個部的資源要全力達陣 這個是在人為而且把握時機 把我可操之在我的資源全部壓上去
transcript.whisperx[391].start 24864.104
transcript.whisperx[391].end 24888.551
transcript.whisperx[391].text 好謝謝委員提醒行政院一定會立即訂定一個剛剛說設定時程設定目標由各部位分頭進行的工作的一個team我們全力來完成爭取從立法院的角度我們也全力協助像我這個協會不是我全力以赴只要有需要立法院支持的我們都自費去去跟他們國會做相關討論像日本我去日本國會針對CPTPP最起碼去了四次以上
transcript.whisperx[392].start 24890.424
transcript.whisperx[392].end 24918.107
transcript.whisperx[392].text 就是讓他們感動就是說不是讓他們理解說台灣是非常重視不管是行政部門或者是這個立法院好 謝謝兩位部長那接下來我請這個這個國防部的徐副部長麻煩請國防部長備詢但是林部長先請留下那龔部長你可以請經理部長請回下一個議題想先請教再請教這個院長關於這個FOIP自由開放的印太
transcript.whisperx[393].start 24919.508
transcript.whisperx[393].end 24941.439
transcript.whisperx[393].text FOIP當然是從安倍前首相2007年提到但具體的有很多的做法需要幾個主要的國家來合作包括美國、澳洲跟印度台灣是在一個戰略的核心台灣又有一個地緣政治的重要性又有我們這個世界的晶片的一個製造中心
transcript.whisperx[394].start 24942.199
transcript.whisperx[394].end 24968.135
transcript.whisperx[394].text 所以我們以地緣自治的優勢也有這個經濟上的優勢所以台灣是這個FOIP裡面重要的核心那我們如何在以台灣的這個角度來參與FOIP這不是一個概念的建構而已這已經進入這個實質的一個合作階段經濟的合作也好 外交的合作也好甚至國防安全上的合作也好所以我想請教這個徐副部長
transcript.whisperx[395].start 24970.03
transcript.whisperx[395].end 24987.371
transcript.whisperx[395].text 這個有沒有可能跟日本台日友好我們這個外交關係非常好經濟關係也非常好好 人民關係也非常好未來有沒有可能台日在這個安全上面有更多的合作空間甚至在國防的合作上面有沒有這個可能性
transcript.whisperx[396].start 24990.037
transcript.whisperx[396].end 25006.324
transcript.whisperx[396].text 報告委員委員這個設想真的是非常好然後的確台灣在第一島鏈的核心對整個印太區域而言都是非常關鍵的台海一旦有事不只日本有事整個第一島鏈甚至印太都得有事
transcript.whisperx[397].start 25007.116
transcript.whisperx[397].end 25032.139
transcript.whisperx[397].text 那麼至於說台日之間的安全合作首先現在日本的國會議員跟我們立議院的執政同仁之間有2加2這個對話這個只是戰略對話而已更實質上的這個不管是科技或者技術的合作有沒有可能用日澳模式日本跟澳洲這個共同興建驅逐艦
transcript.whisperx[398].start 25034.148
transcript.whisperx[398].end 25047.501
transcript.whisperx[398].text 為什麼 因為日本有這個造艦的技術所以澳洲需要澳洲也是印太安全重要的成員我們可能用日澳的模式在國防製造武器方面有更多的合作
transcript.whisperx[399].start 25049.4
transcript.whisperx[399].end 25077.916
transcript.whisperx[399].text 我想我們台灣現在在無人系統的製造上面是相當不錯的這方面我們台灣的無人系統其實已經成為許多國際無人系統的supply chain這已經是事實了這不是能力的問題因為雙邊還有國際條約簽訂的問題因為日澳之間有國防相關的簽訂但是台日之間還沒有這個部分也許可以一起努力
transcript.whisperx[400].start 25083.119
transcript.whisperx[400].end 25095.946
transcript.whisperx[400].text 我想美國的印太戰略當然跟日美安保尤其像高斯藻苗首相他現在要修改安保三文件然後得到充分民意支持這是一個很好的機會那因為他們都把第一島鏈也視為單一戰場
transcript.whisperx[401].start 25098.047
transcript.whisperx[401].end 25122.191
transcript.whisperx[401].text 所以在各方面 現在就是說因為台灣跟他們沒有屬於安全條約的關係怎麼樣把台灣編織進來印太的整個戰略裡面所以這裡面有所謂小多邊就把雙邊的關係把它編織成可能三邊 四邊 五邊包括像AUKUS Quad Five Eyes台灣在這裡當然有純粹的國防上面相關也有非傳統安全的議題
transcript.whisperx[402].start 25122.951
transcript.whisperx[402].end 25150.605
transcript.whisperx[402].text 在這個方面進展非常的大我今天討論的主題就是說在國防科技對 這個特別是國防產業的合作這部分我為什麼提到台日因為台日友好有日澳之間在造艦上面的合作未來我們是不是可以往這個目標去努力是 我跟委員再補充因為高速找苗的這個戰略成長的這個是西向這個產業 科技的產業再加上美國主導的PIPR
transcript.whisperx[403].start 25151.505
transcript.whisperx[403].end 25167.317
transcript.whisperx[403].text 就印太的這個工業韌性的這個聯盟台灣其實在這裡面是他們都知道是不可或缺的那我們必須要主動去促成我是這個高市之友會謝謝兩位部長來再下一個問題請內政部這個請內政部長備詢劉部長
transcript.whisperx[404].start 25180.241
transcript.whisperx[404].end 25201.755
transcript.whisperx[404].text 這個院長橋頭科學園區是未來半導體的製造研發中心特別製造中心JS狼帶的核心就是在橋頭科學園區這個劉部長以前當副市長的任內橋頭新市鎮的轉型橋頭科學園區都是他任內主導所以我尊稱他是橋科之母
transcript.whisperx[405].start 25203.621
transcript.whisperx[405].end 25204.902
transcript.whisperx[405].text 所以沒有他剛說規劃然後讓他轉型把橋樓新市鎮變成橋樓科學園區
transcript.whisperx[406].start 25212.25
transcript.whisperx[406].end 25236.678
transcript.whisperx[406].text 北高雄的發展不會像現在那麼的熱絡產業不會那麼發展好 現在橋頭新城第三期我想部長你也知道我關心什麼第三期包括整個生活圈的規劃生活經驗的完善道路交通的能夠建置好包括一之一 包括二之三這個非常重要如果這個沒有做好的話這個貨出不去
transcript.whisperx[407].start 25239.599
transcript.whisperx[407].end 25254.884
transcript.whisperx[407].text 當地的橋頭市民沒有辦法每天都受到交通困擾我想請教一下林部長您的意見是不是支持橋頭新市政第三期我們繼續如期開發按照原先的規劃按照專業的評估
transcript.whisperx[408].start 25257.605
transcript.whisperx[408].end 25269.196
transcript.whisperx[408].text 謝謝委員的關心我想我一定了解我們在今年1月2號的時候橋頭科學園區已經開始啟用有27家廠商要進駐那當然你所提到的第一期跟第二期的交通路網的部分
transcript.whisperx[409].start 25270.658
transcript.whisperx[409].end 25299.862
transcript.whisperx[409].text 現在在我們都委會會進入4月的時候會再繼續審查但是我們也知道有民團的意見我們把民團意見做了一下專業的評估之後跟委員報告一下第一個就是我們會完整的保留橋頭糖廠因為它是21.48公頃是文化景觀區並沒有破壞所謂的生態棲地那裡面也提到所謂的這個其他的綠地的部分我們也查了一下周邊有51公頃的其實它是人工造林跟舊有的公墓
transcript.whisperx[410].start 25300.582
transcript.whisperx[410].end 25314.685
transcript.whisperx[410].text 並不是所謂的原始零我必須打斷你因為時間還有一個問題並不是原始零所以應該會按照高雄市的樹木保護規定辦理就可以了如期如質推動繼續推動好謝謝劉部長最後一個問題請教交通部陳部長麻煩再請交通部長備詢這個跟卓院長做個說明排61線就是濱海國道
transcript.whisperx[411].start 25327.611
transcript.whisperx[411].end 25333.049
transcript.whisperx[411].text 那個從新北市的這個巴黎一直做到這咱們可以靠
transcript.whisperx[412].start 25334.161
transcript.whisperx[412].end 25362.007
transcript.whisperx[412].text 那個是我提案這個大概是六七年有提案說一定要南延你這個六十一台六十一不能只做到台南市要往這個往南延做到這個南直到左營這個部分我經過多年努力可行性評估目前還在這個行政院我想請教一下這個陳部長目前的最新進度像委員報告我們已經送到行政院那目前行政院正在審核當中我希望這個能夠
transcript.whisperx[413].start 25363.294
transcript.whisperx[413].end 25386.472
transcript.whisperx[413].text 也許通車的時候我可能已經70幾歲了好 邱委員我會請我們業務單位跟工程會加速來審議這個事情這個一條路的開闢不是那麼簡單但是越早開越好因為這個經過很多的生態的敏感區但是你不早上核定後面的工作沒有辦法繼續進行我請院長更重視
transcript.whisperx[414].start 25391.394
transcript.whisperx[414].end 25401.135
transcript.whisperx[414].text 好 謝謝邱志偉委員質詢 謝謝卓院長 相關部會社長貝雲 謝謝我們下午質詢上半場 謝謝徐一貞委員 張志龍委員陪同我們一起參與我們現在休息四分鐘
transcript.whisperx[415].start 26038.291
transcript.whisperx[415].end 26059.854
transcript.whisperx[415].text 好 不然我們現在繼續開會 接下來請張志倫委員質詢羅美玲委員請準備院長好 各位官員各位委員大家午安有請卓榮泰院長以及交通部陳部長麻煩再請卓院長交通部長備詢
transcript.whisperx[416].start 26070.593
transcript.whisperx[416].end 26097.194
transcript.whisperx[416].text 參議員好 院長好 部長好本席跟部長 院長報告本席來自中和中和有超過40萬的人口佔了新北市的十分之一所以我們的民眾對於生活環境品質以及交通用車問題的改善有非常迫切的需求第一個要來先請教就是有關於交通上的問題我們有一個國道3號就中和交道的出口
transcript.whisperx[417].start 26098.195
transcript.whisperx[417].end 26115.351
transcript.whisperx[417].text 我們中和只有一個中和交流道出口有40萬人需要來使用而且他還分享給我們板橋大概有60萬人所以中和交流道可以說是全台灣最庸塞最擁擠車潮最多的交流道出口之一
transcript.whisperx[418].start 26116.152
transcript.whisperx[418].end 26144.277
transcript.whisperx[418].text 那所以在之前很感謝行政院這邊有幫忙來協調就是不管是過去我們的這個交流道的出口的拓寬把路間給取消其實這個大受好評那接下來我們要做的就是未來的交流道的拓寬就是把過去有中和跟板橋我們分享交流道但下交流道的道路的這個出口的交織問題我要把它解決
transcript.whisperx[419].start 26145.217
transcript.whisperx[419].end 26166.873
transcript.whisperx[419].text 那從之前陳建源院長核定的可行性不如報告現在我們的工程階段分大概六個階段那第一個階段就是工程規劃的一個部分原本是應該要在114年的4月核定那可是在本席一直的催促之下最後的核定時間是114年的6月2號
transcript.whisperx[420].start 26170.476
transcript.whisperx[420].end 26194.112
transcript.whisperx[420].text 就本席而言這個規定是有點晚的那現在本席是想要來拜託這個院長跟部長那現在第二個跟第二個設計作業第三個隨途保持計畫目前來講就本席所了解目前整個的計畫還在這個交通部要把這個
transcript.whisperx[421].start 26196.633
transcript.whisperx[421].end 26219.62
transcript.whisperx[421].text 計畫 送到這個行政院來核准那我不知道有沒有機會可以在115年的6月左右有辦法機會核准那是不是可以 因為我剛剛本席有跟院長部長講這個 人車潮非常的擁擠就本席而言 我在看就是因為本席在立法院也三年了那這個整個的計畫到
transcript.whisperx[422].start 26222.332
transcript.whisperx[422].end 26236.999
transcript.whisperx[422].text 第三年結果還沒有一個很明確讓我可以跟民眾報告正式開工那現在都還在這個設計作業跟學徒保持計畫是不是有基本就本席了解整個工程沒有很多困難的地方是不是可以
transcript.whisperx[423].start 26238.135
transcript.whisperx[423].end 26251.593
transcript.whisperx[423].text 準時合訂加速合訂請院長部長向委員報告我們目前工程會那邊對於經費的同意已經同意了也已經合訂了在今年的1月6號
transcript.whisperx[424].start 26252.875
transcript.whisperx[424].end 26275.522
transcript.whisperx[424].text 我們現在進入了細部設計也就是您上面寫的設計作業跟水保計畫這兩個計畫基本上是重疊在做所以時間上應該都會照程序在走我們會盡量趕時間希望能夠在今年的年底之前我們能夠招標並且施工因為6月底要先核定才有可能在12月底招標所以這個部分也拜託部長這邊儘速來協助好嗎
transcript.whisperx[425].start 26277.563
transcript.whisperx[425].end 26292.499
transcript.whisperx[425].text 好那第二個也是有關於中和的交通建設那中和現在是總共有11個捷運站算是全台灣全新北捷運站最多的地方那所以因為我們也只有一個交流道所以我們特別關心的就是我們的
transcript.whisperx[426].start 26293.78
transcript.whisperx[426].end 26316.225
transcript.whisperx[426].text 這個捷運建設那我相信太阪輕軌這個部長跟院長一定不陌生他是連接蘆洲五谷泰山新莊板橋土城中和等七個行政區非常重要的一個交通建設鐵路捷運建設可是就本席所了解他從113年5月起好像
transcript.whisperx[427].start 26317.425
transcript.whisperx[427].end 26337.034
transcript.whisperx[427].text 這個文件的往返非常的頻繁也被推薦非常多次現在累積已經被推薦五次了第五次的推薦是今年115年的2月依照交通部的最新的審查意見退回那本席這邊想要請教因為這個是新北市的重大建設已經被推薦第五次
transcript.whisperx[428].start 26337.774
transcript.whisperx[428].end 26352.2
transcript.whisperx[428].text 那新北市的居民不知道什麼時候才有辦法看到這條捷運順利動工是不是也可以請院長跟部長已經被推薦五次是不是應該來開不同的會議而不是一直送件推薦向委員報告感謝您的關心這個議題確實對於我們這個新北的交通來講相當重要
transcript.whisperx[429].start 26358.183
transcript.whisperx[429].end 26383.9
transcript.whisperx[429].text 那確實我們這個鐵道局在審查的過程當中也相當的詳細包含一些參數的這個差距它的合理性還有就是高架的一些路段的合理性目前我們正在跟新北市政府兩邊正在溝通當中那也已經回覆給新北市政府那目前新北市政府正在修正當中那您剛剛所提到確實已經五次了那我回去之後也會請鐵道局特別來跟新北市政府來開個會
transcript.whisperx[430].start 26384.941
transcript.whisperx[430].end 26408.158
transcript.whisperx[430].text 大家認知上面還有什麼樣子的差距還是有哪些地方需要趕快修正的兩邊趕快達成共識讓他進度可以加快好 謝謝就希望說可以盡量推薦次數有點高所以要拜託院長部長再次幫我們這個新北市的居民大家來看是不是到底有什麼問題不要一直公文完反推薦那未來本席也會支持就是本席跟
transcript.whisperx[431].start 26408.798
transcript.whisperx[431].end 26431.876
transcript.whisperx[431].text 德福委員 未來我們可能會還有一個捷運線叫做中和光復線就是從中和連接到公館未來可能連接到大巨蛋這個線那現在目前新北市還在努力推行當中這我們會後續有會跟我們的這個新北市政府跟我們的交通部大家一起來研議大家一起來努力好 那謝謝我們部長可以請回 謝謝
transcript.whisperx[432].start 26435.763
transcript.whisperx[432].end 26443.805
transcript.whisperx[432].text 接下來我想要請教的是這個內政部劉思芳部長跟經濟部龔部長 麻煩請內政部長經濟部長背書兩位部長好其實院長跟兩位部長最近這個賴總統宣布重啟核二核三
transcript.whisperx[433].start 26459.485
transcript.whisperx[433].end 26483.184
transcript.whisperx[433].text 其實真的是讓全民覺得說現在民進黨政府執政團隊正式願意來面對台灣真實的用電需求那過去的非核家園政策其實在國際的減碳趨勢下其實我們認為這個是一個錯誤的能源政策可是在賴總統宣布可以核二核三具重啟條件的時候本席也予以肯定
transcript.whisperx[434].start 26483.925
transcript.whisperx[434].end 26498.778
transcript.whisperx[434].text 那可是也是要拜託也是要跟我們行政團隊報告過去的10年台灣其實付出了非常大慘痛的一個代價不管是過去人民的健康用廢發電 仰賴火力發電等等的問題以及過去台灣整體
transcript.whisperx[435].start 26500.523
transcript.whisperx[435].end 26522.814
transcript.whisperx[435].text 依照用了很多的天然氣等等的一個問題那本席想要說的是因應台灣的AI算力等等的需求本席也希望說我們也樂觀其成希望台灣的能源的配比可以更加多元那核能也是一個未來可以來使用的一個方法那本席真的要說的是我們現在擔心我們現在的政府
transcript.whisperx[436].start 26523.494
transcript.whisperx[436].end 26545.334
transcript.whisperx[436].text 正在進行另外一個可能未來會讓台灣能源錯誤的政策就是本席現在特別要這邊提到的就是屋頂板強制裝設太陽能板現在這個政策在8月1號要正式上路那本席在這邊要跟院長跟兩位部長報告的是
transcript.whisperx[437].start 26546.448
transcript.whisperx[437].end 26571.627
transcript.whisperx[437].text 在當時我有這個質詢有請教我們在去年的11月5號我有請教劉世芳部長跟當時的吳興修署長當時本席就很擔心要在我們的都會區裡面要求1000平方公尺以上的新建物改建或增建的建物一定要強制裝太陽能板是一個未來會導致我們整個
transcript.whisperx[438].start 26574.349
transcript.whisperx[438].end 26588.922
transcript.whisperx[438].text 都會區裡面造成很多的疑問不管是建築的安全或者是未來的這個都市裡面會不會造成公安的危機或是造成熱島效應等等這些問題當時我在請教劉部長的時候他是說
transcript.whisperx[439].start 26592.625
transcript.whisperx[439].end 26618.601
transcript.whisperx[439].text 九州部長認為我講的也是蠻有道理的他認為說應該以公有建物或工廠為主可是現在我們看到今年8月1號這樣子在我們都會區一般的建築尤其是大家住的住宅就要強制設光電板其實未來我們擔心這個會變成我們講的比較不好聽的叫做城市寫地址所以是不是請教這個院長跟我們兩位部長
transcript.whisperx[440].start 26619.621
transcript.whisperx[440].end 26646.428
transcript.whisperx[440].text 這個政策的確還要在8月1號上路嗎不僅是我剛剛講的建築問題未來的公安問題甚至未來交到管委會的手上這個光電板未來發生問題以後的法律問題會不會以後就沒人敢當這個主委了還有講得更白一點這本席也在講很多次因為就本席的了解現在的規定屋頂的面積的三分之一可能未來都要裝光電板以你們現在的政策未來要做
transcript.whisperx[441].start 26648.269
transcript.whisperx[441].end 26666.111
transcript.whisperx[441].text 60萬千瓦的發電量的話我們整個都會區會總共會增加將近100到200萬片的光電板那過去本席曾經跟你們報告過我們的光電板過去裝在我們的農田餘溫甚至要裝在我們的山坡地
transcript.whisperx[442].start 26667.052
transcript.whisperx[442].end 26695.699
transcript.whisperx[442].text 還有我們的這個水庫那現在能到要裝在我們的都會區的這個民眾的家族的屋頂上嗎是不是可以請院長跟部長就這個政策是不是可以來回應謝謝我原則先來跟委員報告其實政府從能源轉型到現在二次能源轉型我們已經達到了像今年我們預計把我們的這種綠電達到20GW這個目標已經在我們的掌控當中我們全力前進所以不能說
transcript.whisperx[443].start 26696.539
transcript.whisperx[443].end 26712.208
transcript.whisperx[443].text 能源的政策有重大的缺失是這個也是國際的趨勢另外我們在光太陽光電的部分我們除了地面型之外屋頂型我們也是全力在推動那現在我們更用一種比較更鼓勵的方式希望1000平方公尺以上的無論是公共
transcript.whisperx[444].start 26712.808
transcript.whisperx[444].end 26728.587
transcript.whisperx[444].text 是商業是工業或者住宅都能夠來設置不過我們也有排除的規定如果他是一些特定的行業宗教啦還有另外他有危險的存在的因素或者是他受光面的能力比較差的也可以排除掉
transcript.whisperx[445].start 26729.548
transcript.whisperx[445].end 26752.381
transcript.whisperx[445].text 再最重要的是我們可以強化他的強度韌性所以他應該經過我們合格之後他的施工應該要達到可以因應17級陣風所以不會產生危險可是院長你講的都沒錯過去其實台灣其實有這樣的政策可是當時都是以鼓勵來取代強制可是你現在法令第一個我剛剛特別跟你提到你是要用強制
transcript.whisperx[446].start 26752.961
transcript.whisperx[446].end 26774.032
transcript.whisperx[446].text 那強制完了以後未來法律風險誰來承擔而且現在台灣完全沒有做這樣的事亞洲國家也沒有一個國家已經宣布全球要強制裝太陽能板未來如果發生風險的話有問題的話那這個風險法律責任誰來擔事管會的主委來擔我們過去到現在如何鼓勵以及現在如何執行請部長來做說明
transcript.whisperx[447].start 26774.912
transcript.whisperx[447].end 26800.508
transcript.whisperx[447].text 好 謝謝委員的指教委員我想您在內政委員會所提到的部分我們注意到了所以在去年的時候我們當然是以鼓勵的方式那今年是我們跟經濟部一起統一發布這樣子一個屋頂裝設太陽能的這個光電那這個當然是多元能源來源之一那委員所關心的是有關那裝設它安不安全跟委員報告我們也多次在內政委員會跟其他的委員報告過
transcript.whisperx[448].start 26801.368
transcript.whisperx[448].end 26822.385
transcript.whisperx[448].text 就是包括太陽光電設備的設置還有維護管理已經有明確的法律規定那同時呢我也請消防署他們去看一下在公共安全因為當時你在講說到底有沒有這個公安的疑慮啊他們會覺得現行的法律規定就已經有達到這樣的規模那1000平方公尺的這個規定確實沒有錯就是說我們如果
transcript.whisperx[449].start 26823.125
transcript.whisperx[449].end 26842.863
transcript.whisperx[449].text 在跟其他的這個公寓大廈的管理的這個單位需要多做溝通的話我們會用其他的方式在多做溝通讓人們覺得說裝設這個部分呢其實對整個大樓或是對整個有1000平方公尺的屋頂呢它是一個多元能源的來源而且可以降低整體的這個公共維運上面用電的一個成本的需求
transcript.whisperx[450].start 26843.935
transcript.whisperx[450].end 26858.124
transcript.whisperx[450].text 沒錯 可是我覺得院長跟部長你們還是沒有提到安全的問題因為當時我們大家看到台南台南當時發生颱風的時候 光電板吹得一塌糊塗我想要請教鞏部長的是未來如果光電發生吊毀 吊毀傷害到人命的時候誰要來負責
transcript.whisperx[451].start 26867.369
transcript.whisperx[451].end 26884.821
transcript.whisperx[451].text 我們現在要求的他可以一定要抗實際襲擊強風那如果未來還是有發生因為不可能你有抗實際強風施工者他當然要確保這個品質上的安全那施工完畢他是交由誰來處理那未來是由誰來負責
transcript.whisperx[452].start 26886.108
transcript.whisperx[452].end 26913.111
transcript.whisperx[452].text 施工者營運者你需要負責啊因為通常來講的話他們不會是管委會自己部長你可能他是把這個面積通常是租給這些開發商嘛我是說屋頂的光電板未來的所有有建設公司新建好取得建造以後他是交由管委會來負責嘛對吧通常不一定是這樣他通常有時候他會把這個面積租給一個開發商開發商他會來做開發然後他要營運管理
transcript.whisperx[453].start 26914.397
transcript.whisperx[453].end 26925.735
transcript.whisperx[453].text 那如果是我要跟兩位部長講其實現在就已經有相關的規定來使用可是現在很多一般大樓他在官委會他基本上不會通過
transcript.whisperx[454].start 26927.12
transcript.whisperx[454].end 26955.739
transcript.whisperx[454].text 為什麼就是因為怕擔心後續的問題跟成本太高代價太高所以本席在這邊還是要拜託就是我本席不曉得為什麼台灣會變成亞洲第一個要屋頂要強制碳能板的國家而且完全裡面有一個示範區那未來如果有沒有裝有沒有相關的法則後續的法律問題產生法律問題其實我本席在這邊是做出沉重的呼籲不要等到而且我剛已經特別講了未來以你們的裝置發電量
transcript.whisperx[455].start 26957.34
transcript.whisperx[455].end 26985.335
transcript.whisperx[455].text 台灣家家戶戶是挨得很緊的未來這個裝置發電量的話在我們的都會區可能會裝到100將近200萬片的太陽能板未來颱風一來極端氣候到時候再來我們再來檢討其實我相信都不會是我們所樂見的啦所以我還是要拜託院長我們這個屋頂的面積是要1000平方公尺理論上是要300平的空間而且是新建跟改建不是現在所有的都要開始裝
transcript.whisperx[456].start 26986.195
transcript.whisperx[456].end 27013.92
transcript.whisperx[456].text 我了解我非常清楚可是你看台灣那麼多重劃區都要求或是台灣很多的案子未來都是以老屋改建通通都是以這樣的方式本席第二個還擔心的是什麼未來的轉交的問題會不會是管委會來負擔其實你們都沒有針對我這樣的問題回來如果管委會來負擔那誰未來會願意當管委會的主委所以本席在這邊還是要做沉重的呼籲好不好
transcript.whisperx[457].start 27015.543
transcript.whisperx[457].end 27018.435
transcript.whisperx[457].text 請兩位部長可以離開可以休息 謝謝
transcript.whisperx[458].start 27023.49
transcript.whisperx[458].end 27043.976
transcript.whisperx[458].text 好再來我想要請教院長的就是今天早上最新的新聞這個行政院經貿談判辦公室大家知道我們的這個嚴惠欣副總今天媒體揭露他的這個談判代表的一個辭職信那您今天在上午接受訪問的時候也證實
transcript.whisperx[459].start 27045.917
transcript.whisperx[459].end 27063.465
transcript.whisperx[459].text 這封信是屬實的那我想這封信不僅讓人十分不捨而且也揭露一些我們這個經貿談判的一些我想這個副總要跟大家談的一些事情那本席想要先問就說依照這談判信的內容可以了解這個
transcript.whisperx[460].start 27065.546
transcript.whisperx[460].end 27091.233
transcript.whisperx[460].text 行政院內部還是有一些職場霸凌的一些問題那我想問說 因為您今天也提到說你會來啟動這個霸凌案的調查案有沒有說 你有沒有預計什麼時候這個調查案會出爐給大眾一個交代依照行政院本部關於這個職場霸凌的防治申訴以及調查處理的這個辦法
transcript.whisperx[461].start 27092.728
transcript.whisperx[461].end 27105.77
transcript.whisperx[461].text 已經在昨天遷由秘書長來簽核啟動內部的這個調查但是我們為了更有招公信也為了讓這個調查能夠順利的進行這次我們非常特別的
transcript.whisperx[462].start 27106.269
transcript.whisperx[462].end 27123.589
transcript.whisperx[462].text 是邀請說在所有調查委員當中的外聘委員外聘委員來擔任調查我們期待他們用他們的專業中立以及各種調查的事實來讓這個事件的真相讓家屬讓社會了解
transcript.whisperx[463].start 27124.15
transcript.whisperx[463].end 27145.879
transcript.whisperx[463].text 那現在因為申訴人已經沒有辦法來陳述任何的意見我們只有從工作的環境的周遭相關的人員請委員來進行調查那麼我調查他必須在盡快的時間內來完成這個也是辦法裡面所規定的那我們會依照這個辦法來按部就班的程序進行那希望儘快有個答覆出來
transcript.whisperx[464].start 27146.579
transcript.whisperx[464].end 27172.207
transcript.whisperx[464].text 好 所以院長沒有一個明確的時間點這個應該由委員他們訂定但我有請這個秘書長來拜託委員儘快依照這個程序來進行必要的調查好 那謝謝謝謝院長那之前我想不管是勞動部的這個霸凌事件跟這次這個經貿談判處的這個嚴副總的辭職信都代表著其實我們行政單位
transcript.whisperx[465].start 27173.687
transcript.whisperx[465].end 27196.333
transcript.whisperx[465].text 恆哥機關還是有職場霸凌的情況那我想要請教你們有沒有去確保公務體系不要再出現下一個受害者以及要請教你行政院本來要頒發給顏副總這個一等供需獎章那家族現在已經有表示了感激但是婉拒您對這樣的有什麼看法我首先在下委員報告這個在顏副總代表
transcript.whisperx[466].start 27197.423
transcript.whisperx[466].end 27215.382
transcript.whisperx[466].text 所提出的這個傳真簡訊過來的這個辭職信當中並沒有提到所謂霸凌兩個字但有提到工作上受到一些駁斥那我們是在了解但是我們為了更慎重起見我們就啟動了職場霸凌的相關標準來做一些調查的工作另外
transcript.whisperx[467].start 27216.471
transcript.whisperx[467].end 27242.39
transcript.whisperx[467].text 其實頒發一等公積獎章這個是基於顏副總代表在整個談判團隊當中對這一次的台美談判進了很大的努力跟貢獻也讓我們談判獲得了很重要的成果那我們覺得他公在國家他足以讓國家對他表達最高的敬意所以我們一切會依照程序那麼繼續跟取得家屬的理解共同來為顏副總代表
transcript.whisperx[468].start 27242.89
transcript.whisperx[468].end 27260.824
transcript.whisperx[468].text 在留給國家這樣的攻擊的時候也留給後人對他的對國家所做的貢獻有更多緬懷更多紀念的時間好 謝謝院長那當然在離職信裡面有提到特別有提到一點就是說在他在這個談判處裡面他當時有積極要
transcript.whisperx[469].start 27264.567
transcript.whisperx[469].end 27274.616
transcript.whisperx[469].text 來爭取加入CPTPP的一件事情可是他說在執行程式中充滿了消極敷衍的態度而且沒有具體的計畫及時程
transcript.whisperx[470].start 27276.049
transcript.whisperx[470].end 27299.801
transcript.whisperx[470].text 他在過去的一年半有提出多次建議但是都沒有獲採納而且甚至受到嚴厲的斥責那我想要請教其實過去民進黨政府通常一直提出來就是有關於這個CPTPP的一個加入的一個進展報告那這樣的他所在離職信寫的是不是
transcript.whisperx[471].start 27301.605
transcript.whisperx[471].end 27317.823
transcript.whisperx[471].text 讓我們政府部門過去的努力你要如何回應那你有沒有辦法承諾就是說其實CPTPP的推動是有努力在推動的有沒有辦法給我們一個推動報告讓我們了解說你們的決策是基於專業而沒有在打假球
transcript.whisperx[472].start 27318.24
transcript.whisperx[472].end 27343.58
transcript.whisperx[472].text 第一個現在行政院我們啟動院本部的這個調查就是希望了解在各個工作的過程當中包括本件他有沒有在過程當中是不是有不合理的被對待或是在這個跟同事跟部署或是跟長官相處當中有沒有一些值得我們更加檢討的所以這個部分形式上的部分交給調查小組去做調查
transcript.whisperx[473].start 27344.381
transcript.whisperx[473].end 27371.05
transcript.whisperx[473].text 另外CPTPP這個部分的工作我們是持續在進行但我剛剛我也承認過去這一年來我們重兵是壓在對美的談判台美談判過程當中雖然我們在很多的場合都期待跟我們相近友好的國家能夠協助我們在各種國際場合能夠幫我們在CPTPP的這個努力過程當中讓他更有能見度那我們也努力已經達到了奧克蘭三原則
transcript.whisperx[474].start 27371.79
transcript.whisperx[474].end 27390.925
transcript.whisperx[474].text 最終就是要取得所有會員國的共識那這一點是有相當困難的那我剛剛也承諾我們現在即刻也會再檢討CPTPP這整個工作小組要把他最快的時間內讓他能夠進到能夠確定他的時程確定他的目標各部位來分工合作我們會儘快做到這一點
transcript.whisperx[475].start 27391.525
transcript.whisperx[475].end 27411.496
transcript.whisperx[475].text 好謝謝院長那最後其實還是在離職信裡面有提到針對人才的培育等等相關的問題那我也希望說在院長積極要來進行我們所有的調查報告以後可以讓國人也讓家屬有一個清楚的報告一個回應謝謝那接下來我要請教就是說近期
transcript.whisperx[476].start 27416.219
transcript.whisperx[476].end 27435.675
transcript.whisperx[476].text 這個台灣校園安全跟青少年犯罪問題我想要再次已經觸動到社會的敏感神經尤其在兩年多前新北有一個國中生的戈井案全案定業也宣判這個行兇的兩位青少年分別判12年跟11年的徒刑可是對
transcript.whisperx[477].start 27436.468
transcript.whisperx[477].end 27450.261
transcript.whisperx[477].text 家屬來講我相信他的傷痛難以平復因為加害者只需要執行三分之一的刑期就能假釋沒有過幾年就可以重返社會所以本席在這邊針對現行的法令也要跟這個
transcript.whisperx[478].start 27451.642
transcript.whisperx[478].end 27467.379
transcript.whisperx[478].text 院長來做請教第一個就是執行滿三分之一即可假釋的門檻是否過低而且犯案後執行完以後三年後前案可以吐消的機制等等以及觀察的期間是否可以再拉長等等這些問題我想
transcript.whisperx[479].start 27469.534
transcript.whisperx[479].end 27496.876
transcript.whisperx[479].text 現在大家可以看到青少年現在犯罪的問題可能越來越高不論是青少年他本身犯罪比如說當車手吸毒 校園暴力或甚至是被成年人誘拐來去做犯罪的行為所以想要請教 謝謝我們部長部長跟院長你們有沒有考慮全面來檢討跟修法給社會跟孩子們一個更安全的環境
transcript.whisperx[480].start 27497.797
transcript.whisperx[480].end 27523.326
transcript.whisperx[480].text 是 我們在少年犯或是成少共犯的這個領域當中是開過相當多次的相關會議那也跟司法院經常就這個事件在做一些必要在司法上的聯繫希望能夠把讓法制能夠更完整至於少年犯目前他在這個假釋過程當中他必須達到了這個條件這個目標那也是在一個特別的規定至於執行的部分是不是部長再來做強調
transcript.whisperx[481].start 27524.677
transcript.whisperx[481].end 27545.235
transcript.whisperx[481].text 跟委員報告因為少司法是司法院主管的一個法規那有關你那個假釋的門檻的確是只有三分之一那另外那個比較重的無期徒刑那個是七年就可以了那這部分是不是讓我們那個一些詐團或者一些的犯罪團體或可以到利用少年來來做一個詐欺或毒品或其他的一個不法的一個犯罪
transcript.whisperx[482].start 27545.635
transcript.whisperx[482].end 27561.995
transcript.whisperx[482].text 那的確是引起社會很大的關注那少事法最近是司法院有嚴厲要修法那法務部的立場我們會協助把這些社會的這些聲音協助讓司法院在這部分再做一些立法上的一個政策的考量
transcript.whisperx[483].start 27563.164
transcript.whisperx[483].end 27580.625
transcript.whisperx[483].text 好 謝謝所以我本席還是要拜託本席是希望說有沒有機會大家可以來討論看看就是當然加嚴假釋門檻跟重罪前科不予徒消或者是觀察期從3年草案從3年拉到5年我想是有相對的嚇阻作用
transcript.whisperx[484].start 27581.286
transcript.whisperx[484].end 27600.975
transcript.whisperx[484].text 可是我們也要為我們的青少年給他們一些機會所以中間的權衡如何來拿捏我相信我也是拜託部長跟院長看到我們重點是不希望我們的未成年人的犯罪率越來越高就是透過一些我們現在現行法的一些可能不是那麼嚴格的一些
transcript.whisperx[485].start 27602.275
transcript.whisperx[485].end 27621.221
transcript.whisperx[485].text 問的一些問題啊以及很多的這個成年人可能會因為這些的漏洞來去吸收未成年人來做一些犯罪我覺得這是我擔心會越來越嚴重好在這邊好再拜託一下法務部跟司法院就這個事件的總和跟分析我們跟他進行必要的一些檢討好
transcript.whisperx[486].start 27622.481
transcript.whisperx[486].end 27646.184
transcript.whisperx[486].text 那最後還要再請教院長跟部長這本席每年年底都會辦一場打詐公聽會就是希望說現在民眾所深無痛絕的這個詐騙的問題可以得到一個解決不管公私合力或者是我們提出一些問題或是請教一些我們民間的團體來陳述說他們最痛恨
transcript.whisperx[487].start 27648.025
transcript.whisperx[487].end 27673.203
transcript.whisperx[487].text 這個詐騙的原因以及他們最想要的是什麼結果想說他們第一名就是他們希望這個他們的被詐騙的金額可以返還到被害者身上所以在去年的公聽會的時候其實大渣辦公室也承諾我們說他要去做一個關於這個被害人專款返還基金的這件事那本席有去調了一下資料因為現在我們都知道我們每年詐騙的金額
transcript.whisperx[488].start 27675.168
transcript.whisperx[488].end 27699.14
transcript.whisperx[488].text 非常的高有時候大概六七百億八百億或九百億或是一千多億尤其在113年的時候被詐騙的金額大概是一千億左右114年高達一千兩百億那我想要跟院長跟部長討論兩個金額被詐騙的金額高達上千億可是詐欺沒收的犯罪所得我這裡有個資料
transcript.whisperx[489].start 27700.521
transcript.whisperx[489].end 27727.357
transcript.whisperx[489].text 在113年只有35億所以是不是第一個重點是我們能掌握這些被詐騙的金額我們可以把它追回來的錢其實事實上被詐騙整理的金額還不到5%那本席更覺得不可思議的事情這裡面有一半的錢可能沒有辦法返還給被害者是沒入到國庫我們的公庫那本席就覺得這是非常不合理的民眾被詐騙的錢怎麼到最後
transcript.whisperx[490].start 27729.939
transcript.whisperx[490].end 27753.621
transcript.whisperx[490].text 會進入到國庫應該是要返還給被害人政府連一毛錢應該都不能收這個被害人被詐騙的金額所以是不是請院長跟部長我們這個詐騙被害人的專款返還基金什麼時候要成立那你是不是也覺得說這個被詐騙的被害人的財損居然最後是到國庫裡面去是不是非常不合理
transcript.whisperx[491].start 27754.601
transcript.whisperx[491].end 27780.806
transcript.whisperx[491].text 犯罪之後的量刑跟追回的這個反向我們已經從犯罪所得現在已經要變更為這個實質的實際的損害那實質損害有多少就應該是整個量刑的標準而不是以行為人犯罪所得的那麼一點點的車手費用而已這個已經有重大的一個方向的調整那現在目前怎麼來跟各界來做說明謝謝委員的一個詮詢我想這個整個一個對
transcript.whisperx[492].start 27784.059
transcript.whisperx[492].end 27802.771
transcript.whisperx[492].text 被害人的一個保護那這次我們剛完成一個修法就是在詐欺危害防治條例就是強調就是徵定就是修訂為對要自首或自白或六個月要與被害人達成調和解就是在徵審抓調和解而且在六個月內
transcript.whisperx[493].start 27803.371
transcript.whisperx[493].end 27825.409
transcript.whisperx[493].text 要把這些調和解的金額要把它支付完畢這樣才能夠在法律上能夠做一個得減免的減輕期刑的一個法律上的優惠我想這部分我們是加強做一個保護那另外我們還有近視的條款我們不允許這些詐欺犯能夠享有這些犯罪的一個所得
transcript.whisperx[494].start 27825.809
transcript.whisperx[494].end 27843.674
transcript.whisperx[494].text 那剛才有提到就是有關於那個沒入的金額沒入的金額因為那個詐欺的話因為自殺有被害人我們當然是會還給就是罰還給被害人那就利用調和解告提到調和解的這種的機制來彌補被害人的一個損害但是有些的犯罪是找不到被害人的
transcript.whisperx[495].start 27844.429
transcript.whisperx[495].end 27867.964
transcript.whisperx[495].text 那些是單純其他的一些的犯罪的所以這部分當然要沒入要以沒收那我想這部分這法律依照是法律可是還是有很多被害人他沒有拿到財損這部分因為被害人的確因為要被害人的話因為有抓到必須有查獲到這些我請教實際的關係我請教部長我們的這個被害人專款返還基金什麼時候會成立會成立嗎
transcript.whisperx[496].start 27869.513
transcript.whisperx[496].end 27890.459
transcript.whisperx[496].text 這部分那個塔薩辦公室有在做一個宮廷會 剛才委員有提到宮廷會有做一些好 謝謝張志倫委員質詢 謝謝卓院長 各相關部會首長備詢 謝謝接下來本日最後一位質詢委員登記第47號羅美玲委員 請質詢
transcript.whisperx[497].start 27905.025
transcript.whisperx[497].end 27914.213
transcript.whisperx[497].text 謝謝主席有請卓院長還有財政部莊部長農業部陳部長麻煩再請卓院長農業部財政部備詢羅委員好
transcript.whisperx[498].start 27924.293
transcript.whisperx[498].end 27942.048
transcript.whisperx[498].text 院長好 院長南投縣在過去一年多以來因為跟垃圾有關的公共建設案在選址上面引起了很大的風波其中有民間鄉的焚化爐的案子甚至還有埔里的廢棄物業埋場的這兩個案子
transcript.whisperx[499].start 27945.951
transcript.whisperx[499].end 27965.477
transcript.whisperx[499].text 其實是引起了當地民眾很大的恐慌不滿甚至也引起了很多的抗爭本席現在想就民間焚化爐的選址的幾個爭議跟各位來做一個請教南投縣民間鄉有超過2000公頃的茶園
transcript.whisperx[500].start 27968.158
transcript.whisperx[500].end 27996.257
transcript.whisperx[500].text 其實也是全國有超過七成的手搖飲的基底茶都是來自於民間鄉可是南投縣政府卻是要在有茶香美譽的民間鄉來蓋一座焚化爐所以引起當地民眾很大的反彈當然最近有一些抗爭當然民眾也有一些疑慮首先我想請教財政部我們庄部長
transcript.whisperx[501].start 27996.977
transcript.whisperx[501].end 28007.502
transcript.whisperx[501].text 那對於這個這個土地的這個撥用大概就是最近有很多的這個餘地像民眾的話他會認為說為什麼他這個是選址是在這個特定的農業區可是我們卻用這個
transcript.whisperx[502].start 28018.727
transcript.whisperx[502].end 28037.775
transcript.whisperx[502].text 促参法第15条就拨给这个南投县政府来做使用当然我也有求证国产署确确实实就是引用这一条可是民间确实质疑这土地的不用是有问题的为什么我们不会我们不是引用这个国有财产
transcript.whisperx[503].start 28038.635
transcript.whisperx[503].end 28054.276
transcript.whisperx[503].text 法的第38條其中裡面有提到非公用財產類似不動產各級政府機關為公務或公共所需得申請撥用可是呢他有一個狀況是不得辦理撥用的那就是
transcript.whisperx[504].start 28054.736
transcript.whisperx[504].end 28068.413
transcript.whisperx[504].text 不合區域計畫或都市計畫土地使用分區規定著因為它這裡是特定農業區為什麼當初南投縣政府在申請這個要撥用的時候我們不是用國有財產法第38條而是用畜產法第15條請問部長回答
transcript.whisperx[505].start 28073.994
transcript.whisperx[505].end 28090.275
transcript.whisperx[505].text 跟委員報告各級政府不管是中央或地方政府他只要為了公共或公務需要的話都可以申請撥用國有土地那一般是適用國產法第38條如果說他要走促參的模式來做後續的公共建設
transcript.whisperx[506].start 28090.996
transcript.whisperx[506].end 28110.749
transcript.whisperx[506].text 那他可以走促參法的第15條來辦理撥用那不管是國參法或者是促參法他辦理撥用的時候碰到的是非都市土地的話那依照內政部的解釋是可以先辦撥用不需要先辦理用地的變更但是如果這個土地撥去以後他後續要做用地的變更或還
transcript.whisperx[507].start 28112.25
transcript.whisperx[507].end 28140.309
transcript.whisperx[507].text 環境影響評估或等等開發許可他依然要走程序來走如果這裡面的這些條件沒有辦法成就的話讓他的撥用的用途沒有辦法落實這個時候就可以廢止撥用把這個土地重新返回到國有財產署來所以這個撥用基本上是讓他就是說他要去走後面程序先完成的這一個部分那後面的程序都不會受影響都還是一樣要去做他的用地的變更也好
transcript.whisperx[508].start 28141.329
transcript.whisperx[508].end 28163.263
transcript.whisperx[508].text 環境影響評估都必須要去落實的我想請教部長他當初南投縣政府在用這個出產法第15條來申請這個撥用的時候他那時候就是很明確就是說我就是要在這裡設置粉化爐嗎是這樣子嗎是他在撥用的時候必須要把它要做什麼樣的用途在撥用計畫裡面要明白的敘述
transcript.whisperx[509].start 28164.525
transcript.whisperx[509].end 28190.834
transcript.whisperx[509].text 所以当时他在申请这个的时候你们不会去考虑其他的因素吗比如说他是特定农业区也许他不适合你们是不会去考虑这些其他的因素你只要说他符合这个法条他只要符合这出产法第15条你们就来办理其他的你们都不考虑是不是在非都市土地的部分并不会要求这个但是他后续剥去以后他要做这个用途依然要按照
transcript.whisperx[510].start 28191.601
transcript.whisperx[510].end 28203.868
transcript.whisperx[510].text 土地使用管制的規定以及環評以及開發許可等等各項條件都必須要具備他才能夠用如果這些條件不具備他沒有辦法用的時候土地就會辦理廢紙撥用交回到國有財產署
transcript.whisperx[511].start 28204.738
transcript.whisperx[511].end 28232.467
transcript.whisperx[511].text 好那這樣子聽起來的話說實在的財政部這邊我們好像要尋求財政部這邊的協助看來是沒有希望我想請教農業部我們陳部長因為這個焚化爐的預定是在特定農業區它涉及的是2000公頃的茶產業所以農業部一定要有態度那剛剛我們莊部長已經說了可能要等到後續的時候當然我們知道聽起來是撥用
transcript.whisperx[512].start 28232.927
transcript.whisperx[512].end 28260.921
transcript.whisperx[512].text 不一定可以直接興建嘛那這個部分的話我想請問因為我不曉得納豆縣政府到目前為止它所謂的計畫書有沒有送到中央那到底如果說這個計畫送到中央之後呢我們農業部要如何把關呢它是有它這是攸關於全國首搖飲產業的未來我在想農業部一定要有態度我想請教部長這部分後面如何把關
transcript.whisperx[513].start 28262.142
transcript.whisperx[513].end 28284.724
transcript.whisperx[513].text 好謝謝委員我想第一個就是土地的撥用不代表就可以農地變更這是非常明確的農業部這邊申請對根據相關的農發條例如果他是特定特農區的話他原則上是不可以變更的但是如果說他是做相關的公共事業的時候公共事業興建的時候我們會針對
transcript.whisperx[514].start 28286.277
transcript.whisperx[514].end 28301.987
transcript.whisperx[514].text 他提出來這個公共事業是不是具有合理性必要性跟不可替代性我舉個例子這三個要件去審查它是不是符合公共建設的要地不可替代性的意思就是說今天他要興建粉化廠
transcript.whisperx[515].start 28303.248
transcript.whisperx[515].end 28319.123
transcript.whisperx[515].text 那是不是說整個南投縣的粉化垃圾的處理是不是一定要興建成為一個粉化廠的地方這個是部分這第一個說明第二個說明就是就農業部的立場因為他在這個區域想要興建粉化爐
transcript.whisperx[516].start 28320.024
transcript.whisperx[516].end 28336.313
transcript.whisperx[516].text 但是這個周遭的地區裡面我們也盤點了就像委員所說的他的茶是大概是兩千兩百多公頃那整個南投縣六千四百多公頃的茶是占全國茶產區的一半五至三左右所以他是非常重要的一個茶產區
transcript.whisperx[517].start 28337.213
transcript.whisperx[517].end 28364.361
transcript.whisperx[517].text 而這個茶產區又特別是我們商業用茶的基底的主要的原料佔了將近90%商業用茶佔了90%所以它後續的影響會很大第三個更重要就是說在這個地區裡面它是石斧的一個所謂的生態的一個熱區那如果說興建的時候那影響到相關的石斧的這些熱區的時候那可能
transcript.whisperx[518].start 28365.101
transcript.whisperx[518].end 28391.237
transcript.whisperx[518].text 就會回到我剛才一開始講的我們會做三個審查合理性必要性跟不可替代性那以這樣的一個情勢的時候未來目前他沒有送審未來審查的時候他第一個要通過環評那環評跟農地變更是平行去審的但是環評在審查的時候一定會徵求我們農業部的意見那我們農業部的意見剛才已經表達非常清楚那同樣的就是環評那邊即使過了
transcript.whisperx[519].start 28394.6
transcript.whisperx[519].end 28400.91
transcript.whisperx[519].text 進到我們真正的農地變更的時候我們還是會再次審查它的合理性、必要性跟不可替代性
transcript.whisperx[520].start 28401.727
transcript.whisperx[520].end 28430.06
transcript.whisperx[520].text 所以目前來講的話當然我們環團也好或者是當地民眾都希望現階段我們中央能夠就立即的阻止這件事情繼續發展下去比如說因為它可能還有很多的流程要跑我想請教一下我們中央政府在這個階段有什麼可以著力的地方嗎還是要像部長所講的一定要等它送到計畫來進入審查會然後我們再來做審查提意見
transcript.whisperx[521].start 28431.521
transcript.whisperx[521].end 28441.987
transcript.whisperx[521].text 針對種種的因素我們提出我們的意見我們只能在那個階段的時候做點什麼事現階段您認為以農業部來講的話我們只能呼籲南投縣政府可以懸崖勒馬還是怎麼樣
transcript.whisperx[522].start 28449.511
transcript.whisperx[522].end 28469.587
transcript.whisperx[522].text 我跟委員報告因為案子沒有進來表示沒有這個案子只是他們準備做這樣的規劃目前他們準備做這個所以說在準備規劃的時候我們在不同的時間點我們其實已經非常清楚表達農業部的立場他原則上在特農區是不適合興建的特別是這個有爭議的這個焚化廠他對於那個
transcript.whisperx[523].start 28474.008
transcript.whisperx[523].end 28487.546
transcript.whisperx[523].text 不可替代性的部分必須要更謹慎的去檢討不可替代性說是不是一定要設野脈廠或是焚化爐才是能夠解決他當地的垃圾的問題他必須要清楚的說明
transcript.whisperx[524].start 28488.648
transcript.whisperx[524].end 28511.456
transcript.whisperx[524].text 所以我們是希望就是說真的等到他們真的把計畫送出來因為我們看到的話他大概是前面的階段都一直在進行當中那我們聽起來中央政府這裡要等到他計畫進來之後你們可能做整個的審視才可以就你們的專業的立場提供這個意見嗎部長現在您講的這個是這樣子嗎對 相關的規定是如此
transcript.whisperx[525].start 28514.457
transcript.whisperx[525].end 28539.52
transcript.whisperx[525].text 不過報告委員對特定農業區農業部是非常的謹慎必定要經過層層的把關而且通過各種的條件才有辦法變更目前看起來農業部採取的是相當清楚的立場要變更是非常非常困難的甚至是不可能所以我也希望南投縣政府有心要解決縣內的垃圾大家都應該來協助但南投縣政府必須先了解現在南投縣政府
transcript.whisperx[526].start 28540.12
transcript.whisperx[526].end 28563.71
transcript.whisperx[526].text 每天的垃圾他除了可以回收的除了大型可以再利用的除了廚餘之外他剩下多少垃圾據我現在的手上的資料他剩下應該要做這種焚化或是等等處理的垃圾大概有259噸之多那麼應該先從垃圾減量開始在尋求縣內有沒有其他的處理的量能可以擴大增建
transcript.whisperx[527].start 28564.537
transcript.whisperx[527].end 28581.405
transcript.whisperx[527].text 那用這個來解決目前這259噸的垃圾再來呢他能夠跟區域的合作跟區域其他縣市做各種不同的合作方式那所以如果這樣子從清除他的量能進行垃圾的減量必須再做一些量能的擴增
transcript.whisperx[528].start 28582.345
transcript.whisperx[528].end 28609.692
transcript.whisperx[528].text 也許他有辦法來解決目前那如果南投縣政府能夠聽聽現在地方上一些人士提出這樣一個所謂複合性方式的一個方式的話那需要我們來協助行政院願意來協助南投縣政府但是這必須南投縣政府自己要承擔這樣一個地方處理垃圾的量能跟責任OK 好 謝謝院長我先請兩位部長先回座我們現在請環境部彭部長
transcript.whisperx[529].start 28610.852
transcript.whisperx[529].end 28639.852
transcript.whisperx[529].text 南投縣的垃圾問題真的是非常的這個嚴重那我認為地方政府應該確確實實我們長久以來希望說我們也有可以有自主去化的這個能力那現階段我們面臨的問題其實就是選址的問題他的選址出了問題不管是現在的這個民間焚化爐的選址或者是埔里掩埋場的選址其實南投縣政府他都
transcript.whisperx[530].start 28640.832
transcript.whisperx[530].end 28659.568
transcript.whisperx[530].text 出了很大的這個問題好那之前呢剛剛那個我們卓院長真的很清楚對於南投縣的這個垃圾的這個目前他可能沒有很積極從源頭來做這個處理這部分我就想這是一個長久以來的這個問題
transcript.whisperx[531].start 28660.749
transcript.whisperx[531].end 28689.288
transcript.whisperx[531].text 像之前我們南投縣長參選人溫士珍醫師他提出了所謂的雞尾酒療法他自己本身是醫生他就認為說就像治病一樣比如說有癌症可能你也沒有辦法用單一的方式來做治療你應該要用多元的方式來處理我在想剛剛卓院長其實也講到了重點我在想跟我們溫士珍醫師的想法其實是非常的類似
transcript.whisperx[532].start 28690.649
transcript.whisperx[532].end 28712.368
transcript.whisperx[532].text 是不是要設置這個焚化爐才能夠做到垃圾的去化是不是焚化爐才是唯一的途徑然後之前呢溫醫師其實他跟我做了很多的討論也做了一些這個數據的這個分析那像目前就如剛剛我們院長所提的其實我們一天我們的這個
transcript.whisperx[533].start 28714.529
transcript.whisperx[533].end 28740.858
transcript.whisperx[533].text 廢棄物的總量其實是635公噸除掉處於16公噸資源回收351公噸還有巨大再利用9公噸其實我們一般垃圾每天的生產量是259公噸其中有161公噸是委外來處理剩下其實每天都還有98公噸的缺口
transcript.whisperx[534].start 28741.298
transcript.whisperx[534].end 28754.182
transcript.whisperx[534].text 如果再加上之前我們也知道說南投常常發生火燒垃圾山的事情發生像全縣目前佔據的總量是32.7萬噸
transcript.whisperx[535].start 28757.603
transcript.whisperx[535].end 28782.534
transcript.whisperx[535].text 那是從過去就累積下來的那其實這個數字除了說我們南投沒有焚化爐沒有去化的能力之外我在想努力不夠也是原因之一 文士這麼認為因為像南投垃圾的這個問題我們之前跟文士陣營是曾經做過一些概算的那目前南投縣的資源回收率是55.24%
transcript.whisperx[536].start 28784.975
transcript.whisperx[536].end 28807.294
transcript.whisperx[536].text 可是如果你參考我們台北市或雙北市的執行機關資收率台北市是67.01%新北市59.45%其實南投縣的資源回收率比雙北尤其是台北市少了整整10%
transcript.whisperx[537].start 28810.393
transcript.whisperx[537].end 28822.664
transcript.whisperx[537].text 台北市可能能夠做到67.01%可是南投縣只有55.24%如果說我們可以參考雙北的做法的話是我們一起可以減少27到75噸的垃圾量
transcript.whisperx[538].start 28842.222
transcript.whisperx[538].end 28842.622
transcript.whisperx[538].text 謝謝大家
transcript.whisperx[539].start 28876.663
transcript.whisperx[539].end 28878.943
transcript.whisperx[539].text 好 謝謝羅美玲委員質詢謝謝卓院長 各相關部會所長備詢 謝謝
transcript.whisperx[540].start 28884.922
transcript.whisperx[540].end 28904.88
transcript.whisperx[540].text 我們本日排定的質詢委員均已經質詢完畢再次謝謝左院長 鄭副院長以及各部會列席的首長列席答詢3月31號星期二上午9點我們繼續進行施政方針及施政報告質詢再次謝謝徐毅臻委員 張志能委員陪同我們一起參與今天的施政質詢先來休息