iVOD / 15843

Field Value
IVOD_ID 15843
IVOD_URL https://ivod.ly.gov.tw/Play/Full/1M/15843
日期 2024-04-24
會議資料.會議代碼 委員會-11-1-15-14
會議資料.會議代碼:str 第11屆第1會期內政委員會第14次全體委員會議
會議資料.屆 11
會議資料.會期 1
會議資料.會次 14
會議資料.種類 委員會
會議資料.委員會代碼[0] 15
會議資料.委員會代碼:str[0] 內政委員會
會議資料.標題 第11屆第1會期內政委員會第14次全體委員會議
影片種類 Full
開始時間 2024-04-24T08:31:31+08:00
結束時間 2024-04-24T13:30:00+08:00
影片長度 04:58:29
支援功能[0] ai-transcript
video_url https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/eeffa975d6a1e3ea1c34ab709cdaffb0d8b52470c073da943be8d109af184be42808b6a663f6c12a5ea18f28b6918d91.mp4/playlist.m3u8
會議時間 2024-04-24T09:00:00+08:00
會議名稱 立法院第11屆第1會期內政委員會第14次全體委員會議(事由:一、處理113年度中央政府總預算案有關內政部主管預算凍結書面報告案計24案。二、審查內政部函送國家住宅及都市更新中心113年度預算凍結書面報告案計1案。三、審查113年度中央政府總預算案有關內政部主管預算凍結書面報告案計6案。四、審查國籍法部分條文修正草案:(一)行政院函請審議「國籍法部分條文修正草案」案。(二)委員羅美玲等18人擬具「國籍法增訂第六條之一條文草案」案。 (三)委員羅美玲等21人擬具「國籍法第四條條文修正草案」案。(四)委員蘇巧慧等18人擬具「國籍法第二條及第七條條文修正草案」案。 (五)委員陳培瑜等18人擬具「國籍法增訂第六條之一條文草案」案。(六)委員鄭天財Sra Kacaw等19人擬具「國籍法部分條文修正草案」案。(七)委員陳玉珍等18人擬具「國籍法第四條及第七條條文修正草案」案。(八)委員林宜瑾等21人擬具「國籍法部分條文修正草案」案。(九)委員王美惠等19人擬具「國籍法部分條文修正草案」案。(十)委員吳沛憶等17人擬具「國籍法第四條條文修正草案」案。 (十一)委員莊瑞雄等17人擬具「國籍法部分條文修正草案」案。(十二)委員鍾佳濱等16人擬具「國籍法部分條文修正草案」案。 (十三)委員黃捷等20人擬具「國籍法第五條及第九條條文修正草案」案。(十四)委員王定宇等20人擬具「國籍法第二條及第十九條條文修正草案」案。(十五)委員林岱樺等17人擬具「國籍法第二條及第六條條文修正草案」案。(十六)台灣民眾黨黨團擬具「國籍法第四條及第七條條文修正草案」案。【第(十四)及(十五)如經院會復議則不予審查:第(十六)如未經各黨團簽署不復議同意書則不予審查】 113年4月24日(星期三)、4月25日(星期四)上午9時至下午5時30分【二天一次會】)
委員名稱 完整會議
委員發言時間 08:31:31 - 13:30:00
transcript.pyannote[0].speaker SPEAKER_16
transcript.pyannote[0].start 1913.40284375
transcript.pyannote[0].end 1916.10284375
transcript.pyannote[1].speaker SPEAKER_24
transcript.pyannote[1].start 1916.62596875
transcript.pyannote[1].end 1920.01784375
transcript.pyannote[2].speaker SPEAKER_16
transcript.pyannote[2].start 1921.16534375
transcript.pyannote[2].end 1922.21159375
transcript.pyannote[3].speaker SPEAKER_16
transcript.pyannote[3].start 1922.98784375
transcript.pyannote[3].end 1926.44721875
transcript.pyannote[4].speaker SPEAKER_15
transcript.pyannote[4].start 1926.98721875
transcript.pyannote[4].end 1942.96784375
transcript.pyannote[5].speaker SPEAKER_15
transcript.pyannote[5].start 1943.17034375
transcript.pyannote[5].end 1946.62971875
transcript.pyannote[6].speaker SPEAKER_15
transcript.pyannote[6].start 1946.69721875
transcript.pyannote[6].end 1951.74284375
transcript.pyannote[7].speaker SPEAKER_15
transcript.pyannote[7].start 1952.11409375
transcript.pyannote[7].end 1960.21409375
transcript.pyannote[8].speaker SPEAKER_15
transcript.pyannote[8].start 1960.41659375
transcript.pyannote[8].end 1966.45784375
transcript.pyannote[9].speaker SPEAKER_15
transcript.pyannote[9].start 1966.69409375
transcript.pyannote[9].end 1971.70596875
transcript.pyannote[10].speaker SPEAKER_15
transcript.pyannote[10].start 1971.94221875
transcript.pyannote[10].end 1978.00034375
transcript.pyannote[11].speaker SPEAKER_15
transcript.pyannote[11].start 1978.01721875
transcript.pyannote[11].end 1978.03409375
transcript.pyannote[12].speaker SPEAKER_15
transcript.pyannote[12].start 1978.08471875
transcript.pyannote[12].end 1983.92346875
transcript.pyannote[13].speaker SPEAKER_15
transcript.pyannote[13].start 1984.39596875
transcript.pyannote[13].end 1993.12034375
transcript.pyannote[14].speaker SPEAKER_15
transcript.pyannote[14].start 1993.57596875
transcript.pyannote[14].end 1996.88346875
transcript.pyannote[15].speaker SPEAKER_15
transcript.pyannote[15].start 1997.23784375
transcript.pyannote[15].end 2008.93221875
transcript.pyannote[16].speaker SPEAKER_15
transcript.pyannote[16].start 2009.20221875
transcript.pyannote[16].end 2013.65721875
transcript.pyannote[17].speaker SPEAKER_16
transcript.pyannote[17].start 2015.34471875
transcript.pyannote[17].end 2015.36159375
transcript.pyannote[18].speaker SPEAKER_15
transcript.pyannote[18].start 2015.36159375
transcript.pyannote[18].end 2016.61034375
transcript.pyannote[19].speaker SPEAKER_16
transcript.pyannote[19].start 2016.61034375
transcript.pyannote[19].end 2016.88034375
transcript.pyannote[20].speaker SPEAKER_15
transcript.pyannote[20].start 2016.88034375
transcript.pyannote[20].end 2017.03221875
transcript.pyannote[21].speaker SPEAKER_16
transcript.pyannote[21].start 2017.03221875
transcript.pyannote[21].end 2023.27596875
transcript.pyannote[22].speaker SPEAKER_16
transcript.pyannote[22].start 2024.32221875
transcript.pyannote[22].end 2026.95471875
transcript.pyannote[23].speaker SPEAKER_15
transcript.pyannote[23].start 2028.72659375
transcript.pyannote[23].end 2037.16409375
transcript.pyannote[24].speaker SPEAKER_32
transcript.pyannote[24].start 2038.22721875
transcript.pyannote[24].end 2041.38284375
transcript.pyannote[25].speaker SPEAKER_32
transcript.pyannote[25].start 2041.41659375
transcript.pyannote[25].end 2041.45034375
transcript.pyannote[26].speaker SPEAKER_15
transcript.pyannote[26].start 2042.04096875
transcript.pyannote[26].end 2049.04409375
transcript.pyannote[27].speaker SPEAKER_32
transcript.pyannote[27].start 2046.91784375
transcript.pyannote[27].end 2047.23846875
transcript.pyannote[28].speaker SPEAKER_15
transcript.pyannote[28].start 2049.39846875
transcript.pyannote[28].end 2055.05159375
transcript.pyannote[29].speaker SPEAKER_15
transcript.pyannote[29].start 2055.37221875
transcript.pyannote[29].end 2073.20909375
transcript.pyannote[30].speaker SPEAKER_15
transcript.pyannote[30].start 2073.41159375
transcript.pyannote[30].end 2077.66409375
transcript.pyannote[31].speaker SPEAKER_15
transcript.pyannote[31].start 2077.79909375
transcript.pyannote[31].end 2081.29221875
transcript.pyannote[32].speaker SPEAKER_15
transcript.pyannote[32].start 2081.34284375
transcript.pyannote[32].end 2085.57846875
transcript.pyannote[33].speaker SPEAKER_15
transcript.pyannote[33].start 2085.61221875
transcript.pyannote[33].end 2091.31596875
transcript.pyannote[34].speaker SPEAKER_15
transcript.pyannote[34].start 2092.10909375
transcript.pyannote[34].end 2109.70971875
transcript.pyannote[35].speaker SPEAKER_15
transcript.pyannote[35].start 2110.26659375
transcript.pyannote[35].end 2119.73346875
transcript.pyannote[36].speaker SPEAKER_08
transcript.pyannote[36].start 2117.40471875
transcript.pyannote[36].end 2117.59034375
transcript.pyannote[37].speaker SPEAKER_08
transcript.pyannote[37].start 2117.60721875
transcript.pyannote[37].end 2120.03721875
transcript.pyannote[38].speaker SPEAKER_14
transcript.pyannote[38].start 2119.73346875
transcript.pyannote[38].end 2119.75034375
transcript.pyannote[39].speaker SPEAKER_14
transcript.pyannote[39].start 2120.03721875
transcript.pyannote[39].end 2121.42096875
transcript.pyannote[40].speaker SPEAKER_08
transcript.pyannote[40].start 2121.42096875
transcript.pyannote[40].end 2121.87659375
transcript.pyannote[41].speaker SPEAKER_14
transcript.pyannote[41].start 2121.50534375
transcript.pyannote[41].end 2121.64034375
transcript.pyannote[42].speaker SPEAKER_14
transcript.pyannote[42].start 2121.87659375
transcript.pyannote[42].end 2124.13784375
transcript.pyannote[43].speaker SPEAKER_08
transcript.pyannote[43].start 2124.13784375
transcript.pyannote[43].end 2125.26846875
transcript.pyannote[44].speaker SPEAKER_14
transcript.pyannote[44].start 2124.18846875
transcript.pyannote[44].end 2125.21784375
transcript.pyannote[45].speaker SPEAKER_14
transcript.pyannote[45].start 2125.26846875
transcript.pyannote[45].end 2125.48784375
transcript.pyannote[46].speaker SPEAKER_08
transcript.pyannote[46].start 2125.48784375
transcript.pyannote[46].end 2125.50471875
transcript.pyannote[47].speaker SPEAKER_14
transcript.pyannote[47].start 2125.50471875
transcript.pyannote[47].end 2126.97284375
transcript.pyannote[48].speaker SPEAKER_08
transcript.pyannote[48].start 2126.97284375
transcript.pyannote[48].end 2127.52971875
transcript.pyannote[49].speaker SPEAKER_10
transcript.pyannote[49].start 2127.52971875
transcript.pyannote[49].end 2127.56346875
transcript.pyannote[50].speaker SPEAKER_08
transcript.pyannote[50].start 2127.56346875
transcript.pyannote[50].end 2128.23846875
transcript.pyannote[51].speaker SPEAKER_10
transcript.pyannote[51].start 2130.71909375
transcript.pyannote[51].end 2135.39346875
transcript.pyannote[52].speaker SPEAKER_10
transcript.pyannote[52].start 2137.50284375
transcript.pyannote[52].end 2140.82721875
transcript.pyannote[53].speaker SPEAKER_10
transcript.pyannote[53].start 2141.31659375
transcript.pyannote[53].end 2147.50971875
transcript.pyannote[54].speaker SPEAKER_10
transcript.pyannote[54].start 2148.04971875
transcript.pyannote[54].end 2164.18221875
transcript.pyannote[55].speaker SPEAKER_10
transcript.pyannote[55].start 2164.60409375
transcript.pyannote[55].end 2168.24909375
transcript.pyannote[56].speaker SPEAKER_10
transcript.pyannote[56].start 2169.75096875
transcript.pyannote[56].end 2170.72971875
transcript.pyannote[57].speaker SPEAKER_10
transcript.pyannote[57].start 2171.75909375
transcript.pyannote[57].end 2175.26909375
transcript.pyannote[58].speaker SPEAKER_10
transcript.pyannote[58].start 2175.96096875
transcript.pyannote[58].end 2176.75409375
transcript.pyannote[59].speaker SPEAKER_10
transcript.pyannote[59].start 2177.53034375
transcript.pyannote[59].end 2181.88409375
transcript.pyannote[60].speaker SPEAKER_10
transcript.pyannote[60].start 2187.08159375
transcript.pyannote[60].end 2190.03471875
transcript.pyannote[61].speaker SPEAKER_10
transcript.pyannote[61].start 2190.99659375
transcript.pyannote[61].end 2193.05534375
transcript.pyannote[62].speaker SPEAKER_10
transcript.pyannote[62].start 2193.20721875
transcript.pyannote[62].end 2196.17721875
transcript.pyannote[63].speaker SPEAKER_10
transcript.pyannote[63].start 2197.89846875
transcript.pyannote[63].end 2200.49721875
transcript.pyannote[64].speaker SPEAKER_10
transcript.pyannote[64].start 2205.03659375
transcript.pyannote[64].end 2207.33159375
transcript.pyannote[65].speaker SPEAKER_10
transcript.pyannote[65].start 2208.79971875
transcript.pyannote[65].end 2210.45346875
transcript.pyannote[66].speaker SPEAKER_10
transcript.pyannote[66].start 2211.88784375
transcript.pyannote[66].end 2213.44034375
transcript.pyannote[67].speaker SPEAKER_10
transcript.pyannote[67].start 2215.24596875
transcript.pyannote[67].end 2216.84909375
transcript.pyannote[68].speaker SPEAKER_10
transcript.pyannote[68].start 2218.03034375
transcript.pyannote[68].end 2219.02596875
transcript.pyannote[69].speaker SPEAKER_10
transcript.pyannote[69].start 2221.47284375
transcript.pyannote[69].end 2223.76784375
transcript.pyannote[70].speaker SPEAKER_10
transcript.pyannote[70].start 2224.91534375
transcript.pyannote[70].end 2229.28596875
transcript.pyannote[71].speaker SPEAKER_10
transcript.pyannote[71].start 2232.88034375
transcript.pyannote[71].end 2233.82534375
transcript.pyannote[72].speaker SPEAKER_10
transcript.pyannote[72].start 2235.02346875
transcript.pyannote[72].end 2238.17909375
transcript.pyannote[73].speaker SPEAKER_10
transcript.pyannote[73].start 2239.05659375
transcript.pyannote[73].end 2239.57971875
transcript.pyannote[74].speaker SPEAKER_10
transcript.pyannote[74].start 2240.54159375
transcript.pyannote[74].end 2243.42721875
transcript.pyannote[75].speaker SPEAKER_10
transcript.pyannote[75].start 2245.60409375
transcript.pyannote[75].end 2246.49846875
transcript.pyannote[76].speaker SPEAKER_10
transcript.pyannote[76].start 2247.61221875
transcript.pyannote[76].end 2248.91159375
transcript.pyannote[77].speaker SPEAKER_10
transcript.pyannote[77].start 2251.25721875
transcript.pyannote[77].end 2254.21034375
transcript.pyannote[78].speaker SPEAKER_10
transcript.pyannote[78].start 2255.62784375
transcript.pyannote[78].end 2255.96534375
transcript.pyannote[79].speaker SPEAKER_10
transcript.pyannote[79].start 2256.82596875
transcript.pyannote[79].end 2258.93534375
transcript.pyannote[80].speaker SPEAKER_10
transcript.pyannote[80].start 2261.21346875
transcript.pyannote[80].end 2263.12034375
transcript.pyannote[81].speaker SPEAKER_10
transcript.pyannote[81].start 2264.90909375
transcript.pyannote[81].end 2266.86659375
transcript.pyannote[82].speaker SPEAKER_10
transcript.pyannote[82].start 2268.89159375
transcript.pyannote[82].end 2271.28784375
transcript.pyannote[83].speaker SPEAKER_10
transcript.pyannote[83].start 2272.19909375
transcript.pyannote[83].end 2275.30409375
transcript.pyannote[84].speaker SPEAKER_10
transcript.pyannote[84].start 2277.05909375
transcript.pyannote[84].end 2280.14721875
transcript.pyannote[85].speaker SPEAKER_02
transcript.pyannote[85].start 2280.14721875
transcript.pyannote[85].end 2280.60284375
transcript.pyannote[86].speaker SPEAKER_10
transcript.pyannote[86].start 2281.90221875
transcript.pyannote[86].end 2285.71596875
transcript.pyannote[87].speaker SPEAKER_10
transcript.pyannote[87].start 2285.86784375
transcript.pyannote[87].end 2288.11221875
transcript.pyannote[88].speaker SPEAKER_10
transcript.pyannote[88].start 2288.78721875
transcript.pyannote[88].end 2289.24284375
transcript.pyannote[89].speaker SPEAKER_10
transcript.pyannote[89].start 2290.39034375
transcript.pyannote[89].end 2293.22534375
transcript.pyannote[90].speaker SPEAKER_10
transcript.pyannote[90].start 2298.22034375
transcript.pyannote[90].end 2299.57034375
transcript.pyannote[91].speaker SPEAKER_20
transcript.pyannote[91].start 2301.30846875
transcript.pyannote[91].end 2306.16846875
transcript.pyannote[92].speaker SPEAKER_10
transcript.pyannote[92].start 2303.67096875
transcript.pyannote[92].end 2306.57346875
transcript.pyannote[93].speaker SPEAKER_20
transcript.pyannote[93].start 2306.18534375
transcript.pyannote[93].end 2306.33721875
transcript.pyannote[94].speaker SPEAKER_10
transcript.pyannote[94].start 2306.97846875
transcript.pyannote[94].end 2307.02909375
transcript.pyannote[95].speaker SPEAKER_10
transcript.pyannote[95].start 2307.34971875
transcript.pyannote[95].end 2311.87221875
transcript.pyannote[96].speaker SPEAKER_10
transcript.pyannote[96].start 2312.26034375
transcript.pyannote[96].end 2314.79159375
transcript.pyannote[97].speaker SPEAKER_10
transcript.pyannote[97].start 2317.57596875
transcript.pyannote[97].end 2318.03159375
transcript.pyannote[98].speaker SPEAKER_10
transcript.pyannote[98].start 2318.90909375
transcript.pyannote[98].end 2322.03096875
transcript.pyannote[99].speaker SPEAKER_10
transcript.pyannote[99].start 2324.14034375
transcript.pyannote[99].end 2326.55346875
transcript.pyannote[100].speaker SPEAKER_10
transcript.pyannote[100].start 2329.01721875
transcript.pyannote[100].end 2331.21096875
transcript.pyannote[101].speaker SPEAKER_10
transcript.pyannote[101].start 2333.45534375
transcript.pyannote[101].end 2335.68284375
transcript.pyannote[102].speaker SPEAKER_10
transcript.pyannote[102].start 2338.34909375
transcript.pyannote[102].end 2340.74534375
transcript.pyannote[103].speaker SPEAKER_10
transcript.pyannote[103].start 2342.92221875
transcript.pyannote[103].end 2343.79971875
transcript.pyannote[104].speaker SPEAKER_10
transcript.pyannote[104].start 2344.84596875
transcript.pyannote[104].end 2346.12846875
transcript.pyannote[105].speaker SPEAKER_10
transcript.pyannote[105].start 2347.44471875
transcript.pyannote[105].end 2349.95909375
transcript.pyannote[106].speaker SPEAKER_10
transcript.pyannote[106].start 2350.75221875
transcript.pyannote[106].end 2353.84034375
transcript.pyannote[107].speaker SPEAKER_10
transcript.pyannote[107].start 2354.21159375
transcript.pyannote[107].end 2358.61596875
transcript.pyannote[108].speaker SPEAKER_10
transcript.pyannote[108].start 2359.89846875
transcript.pyannote[108].end 2362.17659375
transcript.pyannote[109].speaker SPEAKER_10
transcript.pyannote[109].start 2363.72909375
transcript.pyannote[109].end 2364.57284375
transcript.pyannote[110].speaker SPEAKER_08
transcript.pyannote[110].start 2369.90534375
transcript.pyannote[110].end 2371.18784375
transcript.pyannote[111].speaker SPEAKER_08
transcript.pyannote[111].start 2371.74471875
transcript.pyannote[111].end 2376.60471875
transcript.pyannote[112].speaker SPEAKER_10
transcript.pyannote[112].start 2372.72346875
transcript.pyannote[112].end 2374.34346875
transcript.pyannote[113].speaker SPEAKER_10
transcript.pyannote[113].start 2375.65971875
transcript.pyannote[113].end 2375.96346875
transcript.pyannote[114].speaker SPEAKER_10
transcript.pyannote[114].start 2376.03096875
transcript.pyannote[114].end 2376.11534375
transcript.pyannote[115].speaker SPEAKER_10
transcript.pyannote[115].start 2378.95034375
transcript.pyannote[115].end 2391.30284375
transcript.pyannote[116].speaker SPEAKER_10
transcript.pyannote[116].start 2391.50534375
transcript.pyannote[116].end 2392.93971875
transcript.pyannote[117].speaker SPEAKER_36
transcript.pyannote[117].start 2395.40346875
transcript.pyannote[117].end 2411.02971875
transcript.pyannote[118].speaker SPEAKER_36
transcript.pyannote[118].start 2411.73846875
transcript.pyannote[118].end 2417.03721875
transcript.pyannote[119].speaker SPEAKER_36
transcript.pyannote[119].start 2417.18909375
transcript.pyannote[119].end 2423.09534375
transcript.pyannote[120].speaker SPEAKER_36
transcript.pyannote[120].start 2423.31471875
transcript.pyannote[120].end 2425.15409375
transcript.pyannote[121].speaker SPEAKER_36
transcript.pyannote[121].start 2425.67721875
transcript.pyannote[121].end 2563.98471875
transcript.pyannote[122].speaker SPEAKER_10
transcript.pyannote[122].start 2463.05534375
transcript.pyannote[122].end 2463.08909375
transcript.pyannote[123].speaker SPEAKER_10
transcript.pyannote[123].start 2463.81471875
transcript.pyannote[123].end 2464.32096875
transcript.pyannote[124].speaker SPEAKER_00
transcript.pyannote[124].start 2484.73971875
transcript.pyannote[124].end 2485.02659375
transcript.pyannote[125].speaker SPEAKER_32
transcript.pyannote[125].start 2485.02659375
transcript.pyannote[125].end 2485.06034375
transcript.pyannote[126].speaker SPEAKER_00
transcript.pyannote[126].start 2485.06034375
transcript.pyannote[126].end 2485.07721875
transcript.pyannote[127].speaker SPEAKER_32
transcript.pyannote[127].start 2485.07721875
transcript.pyannote[127].end 2485.33034375
transcript.pyannote[128].speaker SPEAKER_00
transcript.pyannote[128].start 2555.69909375
transcript.pyannote[128].end 2555.83409375
transcript.pyannote[129].speaker SPEAKER_36
transcript.pyannote[129].start 2565.21659375
transcript.pyannote[129].end 2565.79034375
transcript.pyannote[130].speaker SPEAKER_36
transcript.pyannote[130].start 2566.80284375
transcript.pyannote[130].end 2578.51409375
transcript.pyannote[131].speaker SPEAKER_10
transcript.pyannote[131].start 2579.25659375
transcript.pyannote[131].end 2594.10659375
transcript.pyannote[132].speaker SPEAKER_10
transcript.pyannote[132].start 2594.61284375
transcript.pyannote[132].end 2595.33846875
transcript.pyannote[133].speaker SPEAKER_32
transcript.pyannote[133].start 2600.33346875
transcript.pyannote[133].end 2601.00846875
transcript.pyannote[134].speaker SPEAKER_32
transcript.pyannote[134].start 2601.12659375
transcript.pyannote[134].end 2601.14346875
transcript.pyannote[135].speaker SPEAKER_17
transcript.pyannote[135].start 2601.14346875
transcript.pyannote[135].end 2699.52471875
transcript.pyannote[136].speaker SPEAKER_17
transcript.pyannote[136].start 2699.87909375
transcript.pyannote[136].end 2771.41221875
transcript.pyannote[137].speaker SPEAKER_10
transcript.pyannote[137].start 2772.45846875
transcript.pyannote[137].end 2776.05284375
transcript.pyannote[138].speaker SPEAKER_10
transcript.pyannote[138].start 2776.66034375
transcript.pyannote[138].end 2781.41909375
transcript.pyannote[139].speaker SPEAKER_14
transcript.pyannote[139].start 2785.60409375
transcript.pyannote[139].end 2800.96034375
transcript.pyannote[140].speaker SPEAKER_14
transcript.pyannote[140].start 2801.19659375
transcript.pyannote[140].end 2873.25284375
transcript.pyannote[141].speaker SPEAKER_10
transcript.pyannote[141].start 2874.77159375
transcript.pyannote[141].end 2881.40346875
transcript.pyannote[142].speaker SPEAKER_16
transcript.pyannote[142].start 2889.06471875
transcript.pyannote[142].end 2979.66659375
transcript.pyannote[143].speaker SPEAKER_32
transcript.pyannote[143].start 2946.05159375
transcript.pyannote[143].end 2946.11909375
transcript.pyannote[144].speaker SPEAKER_10
transcript.pyannote[144].start 2980.89846875
transcript.pyannote[144].end 2988.99846875
transcript.pyannote[145].speaker SPEAKER_29
transcript.pyannote[145].start 2991.52971875
transcript.pyannote[145].end 2992.10346875
transcript.pyannote[146].speaker SPEAKER_29
transcript.pyannote[146].start 2993.52096875
transcript.pyannote[146].end 2996.86221875
transcript.pyannote[147].speaker SPEAKER_20
transcript.pyannote[147].start 2996.86221875
transcript.pyannote[147].end 3134.12346875
transcript.pyannote[148].speaker SPEAKER_20
transcript.pyannote[148].start 3138.30846875
transcript.pyannote[148].end 3138.32534375
transcript.pyannote[149].speaker SPEAKER_10
transcript.pyannote[149].start 3138.32534375
transcript.pyannote[149].end 3139.35471875
transcript.pyannote[150].speaker SPEAKER_10
transcript.pyannote[150].start 3140.13096875
transcript.pyannote[150].end 3143.86034375
transcript.pyannote[151].speaker SPEAKER_10
transcript.pyannote[151].start 3145.22721875
transcript.pyannote[151].end 3150.12096875
transcript.pyannote[152].speaker SPEAKER_08
transcript.pyannote[152].start 3150.37409375
transcript.pyannote[152].end 3150.39096875
transcript.pyannote[153].speaker SPEAKER_10
transcript.pyannote[153].start 3150.39096875
transcript.pyannote[153].end 3151.03221875
transcript.pyannote[154].speaker SPEAKER_08
transcript.pyannote[154].start 3151.03221875
transcript.pyannote[154].end 3151.63971875
transcript.pyannote[155].speaker SPEAKER_21
transcript.pyannote[155].start 3161.76471875
transcript.pyannote[155].end 3162.92909375
transcript.pyannote[156].speaker SPEAKER_21
transcript.pyannote[156].start 3163.06409375
transcript.pyannote[156].end 3246.25784375
transcript.pyannote[157].speaker SPEAKER_21
transcript.pyannote[157].start 3246.79784375
transcript.pyannote[157].end 3249.86909375
transcript.pyannote[158].speaker SPEAKER_21
transcript.pyannote[158].start 3249.95346875
transcript.pyannote[158].end 3265.74846875
transcript.pyannote[159].speaker SPEAKER_08
transcript.pyannote[159].start 3271.77284375
transcript.pyannote[159].end 3272.76846875
transcript.pyannote[160].speaker SPEAKER_10
transcript.pyannote[160].start 3273.32534375
transcript.pyannote[160].end 3279.85596875
transcript.pyannote[161].speaker SPEAKER_08
transcript.pyannote[161].start 3284.61471875
transcript.pyannote[161].end 3287.50034375
transcript.pyannote[162].speaker SPEAKER_08
transcript.pyannote[162].start 3292.71471875
transcript.pyannote[162].end 3292.73159375
transcript.pyannote[163].speaker SPEAKER_22
transcript.pyannote[163].start 3292.73159375
transcript.pyannote[163].end 3293.82846875
transcript.pyannote[164].speaker SPEAKER_22
transcript.pyannote[164].start 3295.21221875
transcript.pyannote[164].end 3295.66784375
transcript.pyannote[165].speaker SPEAKER_22
transcript.pyannote[165].start 3296.64659375
transcript.pyannote[165].end 3386.45534375
transcript.pyannote[166].speaker SPEAKER_22
transcript.pyannote[166].start 3387.13034375
transcript.pyannote[166].end 3430.83659375
transcript.pyannote[167].speaker SPEAKER_08
transcript.pyannote[167].start 3433.06409375
transcript.pyannote[167].end 3434.21159375
transcript.pyannote[168].speaker SPEAKER_08
transcript.pyannote[168].start 3434.56596875
transcript.pyannote[168].end 3435.47721875
transcript.pyannote[169].speaker SPEAKER_08
transcript.pyannote[169].start 3435.96659375
transcript.pyannote[169].end 3436.05096875
transcript.pyannote[170].speaker SPEAKER_08
transcript.pyannote[170].start 3436.52346875
transcript.pyannote[170].end 3438.27846875
transcript.pyannote[171].speaker SPEAKER_08
transcript.pyannote[171].start 3438.53159375
transcript.pyannote[171].end 3438.54846875
transcript.pyannote[172].speaker SPEAKER_10
transcript.pyannote[172].start 3438.54846875
transcript.pyannote[172].end 3442.85159375
transcript.pyannote[173].speaker SPEAKER_10
transcript.pyannote[173].start 3444.77534375
transcript.pyannote[173].end 3449.29784375
transcript.pyannote[174].speaker SPEAKER_32
transcript.pyannote[174].start 3451.00221875
transcript.pyannote[174].end 3451.60971875
transcript.pyannote[175].speaker SPEAKER_18
transcript.pyannote[175].start 3459.38909375
transcript.pyannote[175].end 3576.11346875
transcript.pyannote[176].speaker SPEAKER_18
transcript.pyannote[176].start 3576.88971875
transcript.pyannote[176].end 3592.90409375
transcript.pyannote[177].speaker SPEAKER_00
transcript.pyannote[177].start 3591.43596875
transcript.pyannote[177].end 3591.55409375
transcript.pyannote[178].speaker SPEAKER_39
transcript.pyannote[178].start 3591.55409375
transcript.pyannote[178].end 3591.60471875
transcript.pyannote[179].speaker SPEAKER_00
transcript.pyannote[179].start 3591.60471875
transcript.pyannote[179].end 3591.95909375
transcript.pyannote[180].speaker SPEAKER_39
transcript.pyannote[180].start 3591.95909375
transcript.pyannote[180].end 3592.66784375
transcript.pyannote[181].speaker SPEAKER_10
transcript.pyannote[181].start 3595.89096875
transcript.pyannote[181].end 3606.21846875
transcript.pyannote[182].speaker SPEAKER_03
transcript.pyannote[182].start 3613.18784375
transcript.pyannote[182].end 3619.90409375
transcript.pyannote[183].speaker SPEAKER_03
transcript.pyannote[183].start 3620.74784375
transcript.pyannote[183].end 3621.45659375
transcript.pyannote[184].speaker SPEAKER_03
transcript.pyannote[184].start 3622.51971875
transcript.pyannote[184].end 3661.34909375
transcript.pyannote[185].speaker SPEAKER_03
transcript.pyannote[185].start 3661.73721875
transcript.pyannote[185].end 3674.00534375
transcript.pyannote[186].speaker SPEAKER_03
transcript.pyannote[186].start 3674.69721875
transcript.pyannote[186].end 3677.90346875
transcript.pyannote[187].speaker SPEAKER_03
transcript.pyannote[187].start 3677.93721875
transcript.pyannote[187].end 3692.82096875
transcript.pyannote[188].speaker SPEAKER_03
transcript.pyannote[188].start 3693.22596875
transcript.pyannote[188].end 3698.42346875
transcript.pyannote[189].speaker SPEAKER_03
transcript.pyannote[189].start 3698.81159375
transcript.pyannote[189].end 3713.71221875
transcript.pyannote[190].speaker SPEAKER_03
transcript.pyannote[190].start 3714.06659375
transcript.pyannote[190].end 3725.99721875
transcript.pyannote[191].speaker SPEAKER_03
transcript.pyannote[191].start 3726.48659375
transcript.pyannote[191].end 3739.49721875
transcript.pyannote[192].speaker SPEAKER_03
transcript.pyannote[192].start 3739.78409375
transcript.pyannote[192].end 3749.16659375
transcript.pyannote[193].speaker SPEAKER_03
transcript.pyannote[193].start 3750.21284375
transcript.pyannote[193].end 3752.03534375
transcript.pyannote[194].speaker SPEAKER_03
transcript.pyannote[194].start 3752.42346875
transcript.pyannote[194].end 3805.05659375
transcript.pyannote[195].speaker SPEAKER_03
transcript.pyannote[195].start 3805.41096875
transcript.pyannote[195].end 3828.63096875
transcript.pyannote[196].speaker SPEAKER_03
transcript.pyannote[196].start 3829.20471875
transcript.pyannote[196].end 3846.07971875
transcript.pyannote[197].speaker SPEAKER_03
transcript.pyannote[197].start 3846.38346875
transcript.pyannote[197].end 3850.09596875
transcript.pyannote[198].speaker SPEAKER_03
transcript.pyannote[198].start 3850.92284375
transcript.pyannote[198].end 3882.46221875
transcript.pyannote[199].speaker SPEAKER_03
transcript.pyannote[199].start 3883.00221875
transcript.pyannote[199].end 3884.57159375
transcript.pyannote[200].speaker SPEAKER_03
transcript.pyannote[200].start 3884.60534375
transcript.pyannote[200].end 3891.89534375
transcript.pyannote[201].speaker SPEAKER_03
transcript.pyannote[201].start 3892.77284375
transcript.pyannote[201].end 3893.34659375
transcript.pyannote[202].speaker SPEAKER_03
transcript.pyannote[202].start 3893.78534375
transcript.pyannote[202].end 3934.38659375
transcript.pyannote[203].speaker SPEAKER_03
transcript.pyannote[203].start 3934.84221875
transcript.pyannote[203].end 3943.41471875
transcript.pyannote[204].speaker SPEAKER_03
transcript.pyannote[204].start 3944.25846875
transcript.pyannote[204].end 3950.67096875
transcript.pyannote[205].speaker SPEAKER_03
transcript.pyannote[205].start 3951.19409375
transcript.pyannote[205].end 3959.98596875
transcript.pyannote[206].speaker SPEAKER_03
transcript.pyannote[206].start 3960.12096875
transcript.pyannote[206].end 3965.89221875
transcript.pyannote[207].speaker SPEAKER_03
transcript.pyannote[207].start 3966.85409375
transcript.pyannote[207].end 3986.17596875
transcript.pyannote[208].speaker SPEAKER_03
transcript.pyannote[208].start 3986.71596875
transcript.pyannote[208].end 4008.48471875
transcript.pyannote[209].speaker SPEAKER_03
transcript.pyannote[209].start 4008.90659375
transcript.pyannote[209].end 4015.31909375
transcript.pyannote[210].speaker SPEAKER_03
transcript.pyannote[210].start 4015.43721875
transcript.pyannote[210].end 4034.48909375
transcript.pyannote[211].speaker SPEAKER_03
transcript.pyannote[211].start 4035.55221875
transcript.pyannote[211].end 4058.83971875
transcript.pyannote[212].speaker SPEAKER_03
transcript.pyannote[212].start 4059.68346875
transcript.pyannote[212].end 4067.95221875
transcript.pyannote[213].speaker SPEAKER_03
transcript.pyannote[213].start 4068.20534375
transcript.pyannote[213].end 4075.91721875
transcript.pyannote[214].speaker SPEAKER_03
transcript.pyannote[214].start 4077.16596875
transcript.pyannote[214].end 4092.69096875
transcript.pyannote[215].speaker SPEAKER_03
transcript.pyannote[215].start 4092.72471875
transcript.pyannote[215].end 4094.49659375
transcript.pyannote[216].speaker SPEAKER_03
transcript.pyannote[216].start 4095.07034375
transcript.pyannote[216].end 4101.46596875
transcript.pyannote[217].speaker SPEAKER_03
transcript.pyannote[217].start 4102.02284375
transcript.pyannote[217].end 4107.54096875
transcript.pyannote[218].speaker SPEAKER_03
transcript.pyannote[218].start 4108.08096875
transcript.pyannote[218].end 4128.97221875
transcript.pyannote[219].speaker SPEAKER_03
transcript.pyannote[219].start 4129.41096875
transcript.pyannote[219].end 4143.99096875
transcript.pyannote[220].speaker SPEAKER_03
transcript.pyannote[220].start 4144.53096875
transcript.pyannote[220].end 4161.54096875
transcript.pyannote[221].speaker SPEAKER_03
transcript.pyannote[221].start 4162.16534375
transcript.pyannote[221].end 4172.45909375
transcript.pyannote[222].speaker SPEAKER_03
transcript.pyannote[222].start 4173.80909375
transcript.pyannote[222].end 4176.22221875
transcript.pyannote[223].speaker SPEAKER_03
transcript.pyannote[223].start 4176.57659375
transcript.pyannote[223].end 4180.27221875
transcript.pyannote[224].speaker SPEAKER_03
transcript.pyannote[224].start 4180.49159375
transcript.pyannote[224].end 4183.07346875
transcript.pyannote[225].speaker SPEAKER_03
transcript.pyannote[225].start 4183.98471875
transcript.pyannote[225].end 4198.80096875
transcript.pyannote[226].speaker SPEAKER_03
transcript.pyannote[226].start 4199.10471875
transcript.pyannote[226].end 4207.81221875
transcript.pyannote[227].speaker SPEAKER_03
transcript.pyannote[227].start 4208.58846875
transcript.pyannote[227].end 4215.06846875
transcript.pyannote[228].speaker SPEAKER_03
transcript.pyannote[228].start 4215.59159375
transcript.pyannote[228].end 4216.11471875
transcript.pyannote[229].speaker SPEAKER_03
transcript.pyannote[229].start 4216.89096875
transcript.pyannote[229].end 4220.46846875
transcript.pyannote[230].speaker SPEAKER_03
transcript.pyannote[230].start 4220.56971875
transcript.pyannote[230].end 4223.32034375
transcript.pyannote[231].speaker SPEAKER_03
transcript.pyannote[231].start 4223.65784375
transcript.pyannote[231].end 4226.99909375
transcript.pyannote[232].speaker SPEAKER_03
transcript.pyannote[232].start 4227.50534375
transcript.pyannote[232].end 4230.93096875
transcript.pyannote[233].speaker SPEAKER_03
transcript.pyannote[233].start 4232.09534375
transcript.pyannote[233].end 4235.50409375
transcript.pyannote[234].speaker SPEAKER_03
transcript.pyannote[234].start 4235.92596875
transcript.pyannote[234].end 4236.48284375
transcript.pyannote[235].speaker SPEAKER_03
transcript.pyannote[235].start 4236.71909375
transcript.pyannote[235].end 4274.33346875
transcript.pyannote[236].speaker SPEAKER_03
transcript.pyannote[236].start 4274.83971875
transcript.pyannote[236].end 4284.52596875
transcript.pyannote[237].speaker SPEAKER_03
transcript.pyannote[237].start 4284.99846875
transcript.pyannote[237].end 4295.32596875
transcript.pyannote[238].speaker SPEAKER_03
transcript.pyannote[238].start 4296.22034375
transcript.pyannote[238].end 4310.81721875
transcript.pyannote[239].speaker SPEAKER_03
transcript.pyannote[239].start 4311.98159375
transcript.pyannote[239].end 4312.43721875
transcript.pyannote[240].speaker SPEAKER_03
transcript.pyannote[240].start 4312.67346875
transcript.pyannote[240].end 4335.06659375
transcript.pyannote[241].speaker SPEAKER_03
transcript.pyannote[241].start 4335.60659375
transcript.pyannote[241].end 4373.03534375
transcript.pyannote[242].speaker SPEAKER_10
transcript.pyannote[242].start 4375.76909375
transcript.pyannote[242].end 4385.11784375
transcript.pyannote[243].speaker SPEAKER_10
transcript.pyannote[243].start 4387.00784375
transcript.pyannote[243].end 4406.97096875
transcript.pyannote[244].speaker SPEAKER_10
transcript.pyannote[244].start 4407.37596875
transcript.pyannote[244].end 4415.91471875
transcript.pyannote[245].speaker SPEAKER_10
transcript.pyannote[245].start 4416.75846875
transcript.pyannote[245].end 4418.44596875
transcript.pyannote[246].speaker SPEAKER_10
transcript.pyannote[246].start 4421.90534375
transcript.pyannote[246].end 4427.57534375
transcript.pyannote[247].speaker SPEAKER_21
transcript.pyannote[247].start 4436.67096875
transcript.pyannote[247].end 4438.88159375
transcript.pyannote[248].speaker SPEAKER_10
transcript.pyannote[248].start 4439.18534375
transcript.pyannote[248].end 4440.61971875
transcript.pyannote[249].speaker SPEAKER_21
transcript.pyannote[249].start 4442.29034375
transcript.pyannote[249].end 4443.10034375
transcript.pyannote[250].speaker SPEAKER_10
transcript.pyannote[250].start 4444.93971875
transcript.pyannote[250].end 4444.95659375
transcript.pyannote[251].speaker SPEAKER_21
transcript.pyannote[251].start 4444.95659375
transcript.pyannote[251].end 4522.66596875
transcript.pyannote[252].speaker SPEAKER_32
transcript.pyannote[252].start 4522.66596875
transcript.pyannote[252].end 4522.95284375
transcript.pyannote[253].speaker SPEAKER_21
transcript.pyannote[253].start 4523.49284375
transcript.pyannote[253].end 4531.87971875
transcript.pyannote[254].speaker SPEAKER_21
transcript.pyannote[254].start 4532.70659375
transcript.pyannote[254].end 4550.27346875
transcript.pyannote[255].speaker SPEAKER_21
transcript.pyannote[255].start 4550.96534375
transcript.pyannote[255].end 4562.54159375
transcript.pyannote[256].speaker SPEAKER_03
transcript.pyannote[256].start 4564.09409375
transcript.pyannote[256].end 4567.24971875
transcript.pyannote[257].speaker SPEAKER_21
transcript.pyannote[257].start 4567.77284375
transcript.pyannote[257].end 4593.25409375
transcript.pyannote[258].speaker SPEAKER_21
transcript.pyannote[258].start 4594.01346875
transcript.pyannote[258].end 4595.32971875
transcript.pyannote[259].speaker SPEAKER_03
transcript.pyannote[259].start 4594.09784375
transcript.pyannote[259].end 4600.72971875
transcript.pyannote[260].speaker SPEAKER_21
transcript.pyannote[260].start 4597.47284375
transcript.pyannote[260].end 4597.96221875
transcript.pyannote[261].speaker SPEAKER_03
transcript.pyannote[261].start 4600.93221875
transcript.pyannote[261].end 4610.77034375
transcript.pyannote[262].speaker SPEAKER_21
transcript.pyannote[262].start 4603.54784375
transcript.pyannote[262].end 4603.75034375
transcript.pyannote[263].speaker SPEAKER_21
transcript.pyannote[263].start 4603.88534375
transcript.pyannote[263].end 4605.99471875
transcript.pyannote[264].speaker SPEAKER_21
transcript.pyannote[264].start 4606.65284375
transcript.pyannote[264].end 4609.30221875
transcript.pyannote[265].speaker SPEAKER_21
transcript.pyannote[265].start 4609.92659375
transcript.pyannote[265].end 4610.50034375
transcript.pyannote[266].speaker SPEAKER_21
transcript.pyannote[266].start 4610.65221875
transcript.pyannote[266].end 4631.10471875
transcript.pyannote[267].speaker SPEAKER_03
transcript.pyannote[267].start 4630.49721875
transcript.pyannote[267].end 4630.66596875
transcript.pyannote[268].speaker SPEAKER_03
transcript.pyannote[268].start 4631.10471875
transcript.pyannote[268].end 4638.52971875
transcript.pyannote[269].speaker SPEAKER_21
transcript.pyannote[269].start 4638.25971875
transcript.pyannote[269].end 4648.36784375
transcript.pyannote[270].speaker SPEAKER_21
transcript.pyannote[270].start 4649.39721875
transcript.pyannote[270].end 4651.00034375
transcript.pyannote[271].speaker SPEAKER_21
transcript.pyannote[271].start 4651.42221875
transcript.pyannote[271].end 4653.64971875
transcript.pyannote[272].speaker SPEAKER_03
transcript.pyannote[272].start 4652.83971875
transcript.pyannote[272].end 4655.23596875
transcript.pyannote[273].speaker SPEAKER_21
transcript.pyannote[273].start 4655.28659375
transcript.pyannote[273].end 4674.28784375
transcript.pyannote[274].speaker SPEAKER_21
transcript.pyannote[274].start 4674.52409375
transcript.pyannote[274].end 4701.54096875
transcript.pyannote[275].speaker SPEAKER_05
transcript.pyannote[275].start 4696.68096875
transcript.pyannote[275].end 4696.69784375
transcript.pyannote[276].speaker SPEAKER_03
transcript.pyannote[276].start 4696.69784375
transcript.pyannote[276].end 4696.74846875
transcript.pyannote[277].speaker SPEAKER_03
transcript.pyannote[277].start 4699.24596875
transcript.pyannote[277].end 4710.65346875
transcript.pyannote[278].speaker SPEAKER_21
transcript.pyannote[278].start 4701.87846875
transcript.pyannote[278].end 4701.92909375
transcript.pyannote[279].speaker SPEAKER_21
transcript.pyannote[279].start 4701.96284375
transcript.pyannote[279].end 4702.23284375
transcript.pyannote[280].speaker SPEAKER_03
transcript.pyannote[280].start 4711.00784375
transcript.pyannote[280].end 4714.04534375
transcript.pyannote[281].speaker SPEAKER_21
transcript.pyannote[281].start 4711.41284375
transcript.pyannote[281].end 4711.59846875
transcript.pyannote[282].speaker SPEAKER_21
transcript.pyannote[282].start 4712.62784375
transcript.pyannote[282].end 4791.50159375
transcript.pyannote[283].speaker SPEAKER_21
transcript.pyannote[283].start 4791.61971875
transcript.pyannote[283].end 4793.69534375
transcript.pyannote[284].speaker SPEAKER_21
transcript.pyannote[284].start 4794.04971875
transcript.pyannote[284].end 4794.48846875
transcript.pyannote[285].speaker SPEAKER_21
transcript.pyannote[285].start 4794.67409375
transcript.pyannote[285].end 4799.12909375
transcript.pyannote[286].speaker SPEAKER_21
transcript.pyannote[286].start 4799.58471875
transcript.pyannote[286].end 4837.19909375
transcript.pyannote[287].speaker SPEAKER_00
transcript.pyannote[287].start 4821.74159375
transcript.pyannote[287].end 4821.75846875
transcript.pyannote[288].speaker SPEAKER_32
transcript.pyannote[288].start 4821.75846875
transcript.pyannote[288].end 4822.53471875
transcript.pyannote[289].speaker SPEAKER_00
transcript.pyannote[289].start 4822.53471875
transcript.pyannote[289].end 4822.55159375
transcript.pyannote[290].speaker SPEAKER_03
transcript.pyannote[290].start 4832.20409375
transcript.pyannote[290].end 4832.40659375
transcript.pyannote[291].speaker SPEAKER_16
transcript.pyannote[291].start 4832.40659375
transcript.pyannote[291].end 4832.42346875
transcript.pyannote[292].speaker SPEAKER_03
transcript.pyannote[292].start 4836.69284375
transcript.pyannote[292].end 4837.97534375
transcript.pyannote[293].speaker SPEAKER_10
transcript.pyannote[293].start 4839.03846875
transcript.pyannote[293].end 4846.69971875
transcript.pyannote[294].speaker SPEAKER_03
transcript.pyannote[294].start 4840.08471875
transcript.pyannote[294].end 4840.40534375
transcript.pyannote[295].speaker SPEAKER_10
transcript.pyannote[295].start 4852.23471875
transcript.pyannote[295].end 4853.77034375
transcript.pyannote[296].speaker SPEAKER_10
transcript.pyannote[296].start 4854.20909375
transcript.pyannote[296].end 4855.71096875
transcript.pyannote[297].speaker SPEAKER_35
transcript.pyannote[297].start 4857.31409375
transcript.pyannote[297].end 4857.49971875
transcript.pyannote[298].speaker SPEAKER_06
transcript.pyannote[298].start 4860.28409375
transcript.pyannote[298].end 4860.31784375
transcript.pyannote[299].speaker SPEAKER_35
transcript.pyannote[299].start 4860.31784375
transcript.pyannote[299].end 4860.73971875
transcript.pyannote[300].speaker SPEAKER_06
transcript.pyannote[300].start 4861.27971875
transcript.pyannote[300].end 4872.67034375
transcript.pyannote[301].speaker SPEAKER_35
transcript.pyannote[301].start 4861.58346875
transcript.pyannote[301].end 4863.10221875
transcript.pyannote[302].speaker SPEAKER_06
transcript.pyannote[302].start 4873.12596875
transcript.pyannote[302].end 4876.14659375
transcript.pyannote[303].speaker SPEAKER_06
transcript.pyannote[303].start 4876.43346875
transcript.pyannote[303].end 4877.46284375
transcript.pyannote[304].speaker SPEAKER_06
transcript.pyannote[304].start 4878.07034375
transcript.pyannote[304].end 4879.72409375
transcript.pyannote[305].speaker SPEAKER_06
transcript.pyannote[305].start 4880.38221875
transcript.pyannote[305].end 4882.18784375
transcript.pyannote[306].speaker SPEAKER_06
transcript.pyannote[306].start 4882.35659375
transcript.pyannote[306].end 4885.88346875
transcript.pyannote[307].speaker SPEAKER_06
transcript.pyannote[307].start 4886.32221875
transcript.pyannote[307].end 4887.79034375
transcript.pyannote[308].speaker SPEAKER_06
transcript.pyannote[308].start 4888.09409375
transcript.pyannote[308].end 4890.06846875
transcript.pyannote[309].speaker SPEAKER_06
transcript.pyannote[309].start 4890.35534375
transcript.pyannote[309].end 4895.89034375
transcript.pyannote[310].speaker SPEAKER_06
transcript.pyannote[310].start 4896.39659375
transcript.pyannote[310].end 4897.76346875
transcript.pyannote[311].speaker SPEAKER_06
transcript.pyannote[311].start 4898.43846875
transcript.pyannote[311].end 4898.80971875
transcript.pyannote[312].speaker SPEAKER_06
transcript.pyannote[312].start 4899.04596875
transcript.pyannote[312].end 4901.45909375
transcript.pyannote[313].speaker SPEAKER_06
transcript.pyannote[313].start 4901.81346875
transcript.pyannote[313].end 4903.36596875
transcript.pyannote[314].speaker SPEAKER_06
transcript.pyannote[314].start 4903.61909375
transcript.pyannote[314].end 4904.04096875
transcript.pyannote[315].speaker SPEAKER_06
transcript.pyannote[315].start 4904.85096875
transcript.pyannote[315].end 4907.77034375
transcript.pyannote[316].speaker SPEAKER_06
transcript.pyannote[316].start 4908.12471875
transcript.pyannote[316].end 4909.86284375
transcript.pyannote[317].speaker SPEAKER_06
transcript.pyannote[317].start 4911.09471875
transcript.pyannote[317].end 4912.69784375
transcript.pyannote[318].speaker SPEAKER_06
transcript.pyannote[318].start 4913.60909375
transcript.pyannote[318].end 4916.00534375
transcript.pyannote[319].speaker SPEAKER_06
transcript.pyannote[319].start 4916.66346875
transcript.pyannote[319].end 4917.59159375
transcript.pyannote[320].speaker SPEAKER_06
transcript.pyannote[320].start 4918.31721875
transcript.pyannote[320].end 4920.78096875
transcript.pyannote[321].speaker SPEAKER_06
transcript.pyannote[321].start 4921.13534375
transcript.pyannote[321].end 4923.19409375
transcript.pyannote[322].speaker SPEAKER_06
transcript.pyannote[322].start 4924.07159375
transcript.pyannote[322].end 4925.43846875
transcript.pyannote[323].speaker SPEAKER_06
transcript.pyannote[323].start 4925.72534375
transcript.pyannote[323].end 4927.24409375
transcript.pyannote[324].speaker SPEAKER_06
transcript.pyannote[324].start 4927.76721875
transcript.pyannote[324].end 4928.42534375
transcript.pyannote[325].speaker SPEAKER_06
transcript.pyannote[325].start 4928.81346875
transcript.pyannote[325].end 4930.14659375
transcript.pyannote[326].speaker SPEAKER_06
transcript.pyannote[326].start 4930.73721875
transcript.pyannote[326].end 4934.34846875
transcript.pyannote[327].speaker SPEAKER_06
transcript.pyannote[327].start 4934.75346875
transcript.pyannote[327].end 4942.97159375
transcript.pyannote[328].speaker SPEAKER_03
transcript.pyannote[328].start 4938.51659375
transcript.pyannote[328].end 4938.82034375
transcript.pyannote[329].speaker SPEAKER_03
transcript.pyannote[329].start 4942.97159375
transcript.pyannote[329].end 4954.91909375
transcript.pyannote[330].speaker SPEAKER_32
transcript.pyannote[330].start 4953.26534375
transcript.pyannote[330].end 4953.55221875
transcript.pyannote[331].speaker SPEAKER_00
transcript.pyannote[331].start 4953.55221875
transcript.pyannote[331].end 4953.56909375
transcript.pyannote[332].speaker SPEAKER_03
transcript.pyannote[332].start 4955.23971875
transcript.pyannote[332].end 4958.91846875
transcript.pyannote[333].speaker SPEAKER_03
transcript.pyannote[333].start 4959.22221875
transcript.pyannote[333].end 4962.51284375
transcript.pyannote[334].speaker SPEAKER_32
transcript.pyannote[334].start 4959.30659375
transcript.pyannote[334].end 4959.74534375
transcript.pyannote[335].speaker SPEAKER_32
transcript.pyannote[335].start 4962.51284375
transcript.pyannote[335].end 4962.96846875
transcript.pyannote[336].speaker SPEAKER_03
transcript.pyannote[336].start 4962.74909375
transcript.pyannote[336].end 4980.23159375
transcript.pyannote[337].speaker SPEAKER_32
transcript.pyannote[337].start 4980.21471875
transcript.pyannote[337].end 4980.65346875
transcript.pyannote[338].speaker SPEAKER_03
transcript.pyannote[338].start 4980.24846875
transcript.pyannote[338].end 4980.28221875
transcript.pyannote[339].speaker SPEAKER_03
transcript.pyannote[339].start 4980.48471875
transcript.pyannote[339].end 4985.71596875
transcript.pyannote[340].speaker SPEAKER_03
transcript.pyannote[340].start 4986.15471875
transcript.pyannote[340].end 4998.55784375
transcript.pyannote[341].speaker SPEAKER_06
transcript.pyannote[341].start 4997.29221875
transcript.pyannote[341].end 4997.61284375
transcript.pyannote[342].speaker SPEAKER_06
transcript.pyannote[342].start 4998.55784375
transcript.pyannote[342].end 5006.23596875
transcript.pyannote[343].speaker SPEAKER_06
transcript.pyannote[343].start 5006.55659375
transcript.pyannote[343].end 5007.60284375
transcript.pyannote[344].speaker SPEAKER_06
transcript.pyannote[344].start 5008.14284375
transcript.pyannote[344].end 5009.81346875
transcript.pyannote[345].speaker SPEAKER_06
transcript.pyannote[345].start 5010.11721875
transcript.pyannote[345].end 5010.87659375
transcript.pyannote[346].speaker SPEAKER_06
transcript.pyannote[346].start 5011.21409375
transcript.pyannote[346].end 5013.15471875
transcript.pyannote[347].speaker SPEAKER_00
transcript.pyannote[347].start 5011.45034375
transcript.pyannote[347].end 5011.50096875
transcript.pyannote[348].speaker SPEAKER_00
transcript.pyannote[348].start 5011.51784375
transcript.pyannote[348].end 5011.55159375
transcript.pyannote[349].speaker SPEAKER_00
transcript.pyannote[349].start 5012.36159375
transcript.pyannote[349].end 5013.00284375
transcript.pyannote[350].speaker SPEAKER_06
transcript.pyannote[350].start 5013.54284375
transcript.pyannote[350].end 5016.44534375
transcript.pyannote[351].speaker SPEAKER_06
transcript.pyannote[351].start 5016.96846875
transcript.pyannote[351].end 5017.62659375
transcript.pyannote[352].speaker SPEAKER_06
transcript.pyannote[352].start 5018.23409375
transcript.pyannote[352].end 5020.71471875
transcript.pyannote[353].speaker SPEAKER_06
transcript.pyannote[353].start 5021.06909375
transcript.pyannote[353].end 5022.41909375
transcript.pyannote[354].speaker SPEAKER_06
transcript.pyannote[354].start 5023.19534375
transcript.pyannote[354].end 5024.69721875
transcript.pyannote[355].speaker SPEAKER_06
transcript.pyannote[355].start 5025.55784375
transcript.pyannote[355].end 5027.86971875
transcript.pyannote[356].speaker SPEAKER_06
transcript.pyannote[356].start 5028.37596875
transcript.pyannote[356].end 5030.24909375
transcript.pyannote[357].speaker SPEAKER_06
transcript.pyannote[357].start 5030.41784375
transcript.pyannote[357].end 5032.18971875
transcript.pyannote[358].speaker SPEAKER_03
transcript.pyannote[358].start 5031.54846875
transcript.pyannote[358].end 5034.65346875
transcript.pyannote[359].speaker SPEAKER_06
transcript.pyannote[359].start 5033.11784375
transcript.pyannote[359].end 5037.52221875
transcript.pyannote[360].speaker SPEAKER_06
transcript.pyannote[360].start 5037.72471875
transcript.pyannote[360].end 5040.27284375
transcript.pyannote[361].speaker SPEAKER_06
transcript.pyannote[361].start 5040.49221875
transcript.pyannote[361].end 5041.36971875
transcript.pyannote[362].speaker SPEAKER_06
transcript.pyannote[362].start 5041.62284375
transcript.pyannote[362].end 5043.56346875
transcript.pyannote[363].speaker SPEAKER_12
transcript.pyannote[363].start 5044.06971875
transcript.pyannote[363].end 5044.15409375
transcript.pyannote[364].speaker SPEAKER_06
transcript.pyannote[364].start 5044.71096875
transcript.pyannote[364].end 5047.96784375
transcript.pyannote[365].speaker SPEAKER_12
transcript.pyannote[365].start 5046.73596875
transcript.pyannote[365].end 5046.97221875
transcript.pyannote[366].speaker SPEAKER_32
transcript.pyannote[366].start 5046.97221875
transcript.pyannote[366].end 5047.02284375
transcript.pyannote[367].speaker SPEAKER_03
transcript.pyannote[367].start 5047.02284375
transcript.pyannote[367].end 5047.90034375
transcript.pyannote[368].speaker SPEAKER_03
transcript.pyannote[368].start 5047.96784375
transcript.pyannote[368].end 5047.98471875
transcript.pyannote[369].speaker SPEAKER_06
transcript.pyannote[369].start 5047.98471875
transcript.pyannote[369].end 5049.13221875
transcript.pyannote[370].speaker SPEAKER_03
transcript.pyannote[370].start 5048.06909375
transcript.pyannote[370].end 5048.23784375
transcript.pyannote[371].speaker SPEAKER_12
transcript.pyannote[371].start 5048.23784375
transcript.pyannote[371].end 5048.25471875
transcript.pyannote[372].speaker SPEAKER_03
transcript.pyannote[372].start 5048.25471875
transcript.pyannote[372].end 5048.27159375
transcript.pyannote[373].speaker SPEAKER_06
transcript.pyannote[373].start 5049.73971875
transcript.pyannote[373].end 5053.38471875
transcript.pyannote[374].speaker SPEAKER_06
transcript.pyannote[374].start 5055.02159375
transcript.pyannote[374].end 5055.49409375
transcript.pyannote[375].speaker SPEAKER_03
transcript.pyannote[375].start 5055.71346875
transcript.pyannote[375].end 5056.86096875
transcript.pyannote[376].speaker SPEAKER_06
transcript.pyannote[376].start 5057.04659375
transcript.pyannote[376].end 5057.58659375
transcript.pyannote[377].speaker SPEAKER_06
transcript.pyannote[377].start 5058.00846875
transcript.pyannote[377].end 5060.16846875
transcript.pyannote[378].speaker SPEAKER_06
transcript.pyannote[378].start 5060.59034375
transcript.pyannote[378].end 5065.90596875
transcript.pyannote[379].speaker SPEAKER_06
transcript.pyannote[379].start 5066.53034375
transcript.pyannote[379].end 5067.39096875
transcript.pyannote[380].speaker SPEAKER_06
transcript.pyannote[380].start 5067.61034375
transcript.pyannote[380].end 5068.82534375
transcript.pyannote[381].speaker SPEAKER_06
transcript.pyannote[381].start 5069.48346875
transcript.pyannote[381].end 5071.52534375
transcript.pyannote[382].speaker SPEAKER_06
transcript.pyannote[382].start 5072.62221875
transcript.pyannote[382].end 5073.46596875
transcript.pyannote[383].speaker SPEAKER_06
transcript.pyannote[383].start 5073.80346875
transcript.pyannote[383].end 5075.11971875
transcript.pyannote[384].speaker SPEAKER_06
transcript.pyannote[384].start 5075.69346875
transcript.pyannote[384].end 5077.12784375
transcript.pyannote[385].speaker SPEAKER_06
transcript.pyannote[385].start 5077.66784375
transcript.pyannote[385].end 5079.32159375
transcript.pyannote[386].speaker SPEAKER_06
transcript.pyannote[386].start 5079.84471875
transcript.pyannote[386].end 5081.29596875
transcript.pyannote[387].speaker SPEAKER_06
transcript.pyannote[387].start 5081.70096875
transcript.pyannote[387].end 5083.50659375
transcript.pyannote[388].speaker SPEAKER_06
transcript.pyannote[388].start 5084.18159375
transcript.pyannote[388].end 5086.18971875
transcript.pyannote[389].speaker SPEAKER_06
transcript.pyannote[389].start 5086.79721875
transcript.pyannote[389].end 5092.53471875
transcript.pyannote[390].speaker SPEAKER_06
transcript.pyannote[390].start 5092.85534375
transcript.pyannote[390].end 5094.76221875
transcript.pyannote[391].speaker SPEAKER_06
transcript.pyannote[391].start 5095.11659375
transcript.pyannote[391].end 5096.29784375
transcript.pyannote[392].speaker SPEAKER_06
transcript.pyannote[392].start 5096.55096875
transcript.pyannote[392].end 5099.35221875
transcript.pyannote[393].speaker SPEAKER_06
transcript.pyannote[393].start 5099.74034375
transcript.pyannote[393].end 5100.83721875
transcript.pyannote[394].speaker SPEAKER_06
transcript.pyannote[394].start 5101.61346875
transcript.pyannote[394].end 5106.37221875
transcript.pyannote[395].speaker SPEAKER_06
transcript.pyannote[395].start 5106.69284375
transcript.pyannote[395].end 5108.07659375
transcript.pyannote[396].speaker SPEAKER_06
transcript.pyannote[396].start 5108.63346875
transcript.pyannote[396].end 5109.20721875
transcript.pyannote[397].speaker SPEAKER_06
transcript.pyannote[397].start 5110.10159375
transcript.pyannote[397].end 5111.33346875
transcript.pyannote[398].speaker SPEAKER_06
transcript.pyannote[398].start 5112.31221875
transcript.pyannote[398].end 5113.44284375
transcript.pyannote[399].speaker SPEAKER_06
transcript.pyannote[399].start 5114.45534375
transcript.pyannote[399].end 5116.53096875
transcript.pyannote[400].speaker SPEAKER_32
transcript.pyannote[400].start 5116.17659375
transcript.pyannote[400].end 5116.44659375
transcript.pyannote[401].speaker SPEAKER_32
transcript.pyannote[401].start 5116.53096875
transcript.pyannote[401].end 5116.81784375
transcript.pyannote[402].speaker SPEAKER_06
transcript.pyannote[402].start 5117.29034375
transcript.pyannote[402].end 5119.87221875
transcript.pyannote[403].speaker SPEAKER_06
transcript.pyannote[403].start 5120.31096875
transcript.pyannote[403].end 5134.30034375
transcript.pyannote[404].speaker SPEAKER_03
transcript.pyannote[404].start 5132.35971875
transcript.pyannote[404].end 5139.76784375
transcript.pyannote[405].speaker SPEAKER_03
transcript.pyannote[405].start 5140.08846875
transcript.pyannote[405].end 5149.90971875
transcript.pyannote[406].speaker SPEAKER_06
transcript.pyannote[406].start 5148.55971875
transcript.pyannote[406].end 5156.81159375
transcript.pyannote[407].speaker SPEAKER_03
transcript.pyannote[407].start 5156.77784375
transcript.pyannote[407].end 5157.48659375
transcript.pyannote[408].speaker SPEAKER_06
transcript.pyannote[408].start 5157.48659375
transcript.pyannote[408].end 5163.47721875
transcript.pyannote[409].speaker SPEAKER_32
transcript.pyannote[409].start 5163.47721875
transcript.pyannote[409].end 5163.73034375
transcript.pyannote[410].speaker SPEAKER_06
transcript.pyannote[410].start 5163.73034375
transcript.pyannote[410].end 5165.46846875
transcript.pyannote[411].speaker SPEAKER_06
transcript.pyannote[411].start 5165.80596875
transcript.pyannote[411].end 5168.70846875
transcript.pyannote[412].speaker SPEAKER_06
transcript.pyannote[412].start 5169.46784375
transcript.pyannote[412].end 5171.30721875
transcript.pyannote[413].speaker SPEAKER_06
transcript.pyannote[413].start 5171.71221875
transcript.pyannote[413].end 5185.29659375
transcript.pyannote[414].speaker SPEAKER_06
transcript.pyannote[414].start 5185.66784375
transcript.pyannote[414].end 5187.05159375
transcript.pyannote[415].speaker SPEAKER_06
transcript.pyannote[415].start 5187.32159375
transcript.pyannote[415].end 5189.76846875
transcript.pyannote[416].speaker SPEAKER_06
transcript.pyannote[416].start 5190.67971875
transcript.pyannote[416].end 5196.28221875
transcript.pyannote[417].speaker SPEAKER_32
transcript.pyannote[417].start 5196.31596875
transcript.pyannote[417].end 5196.55221875
transcript.pyannote[418].speaker SPEAKER_06
transcript.pyannote[418].start 5196.55221875
transcript.pyannote[418].end 5199.48846875
transcript.pyannote[419].speaker SPEAKER_06
transcript.pyannote[419].start 5199.94409375
transcript.pyannote[419].end 5205.59721875
transcript.pyannote[420].speaker SPEAKER_06
transcript.pyannote[420].start 5205.91784375
transcript.pyannote[420].end 5210.86221875
transcript.pyannote[421].speaker SPEAKER_03
transcript.pyannote[421].start 5210.76096875
transcript.pyannote[421].end 5211.41909375
transcript.pyannote[422].speaker SPEAKER_06
transcript.pyannote[422].start 5211.62159375
transcript.pyannote[422].end 5216.65034375
transcript.pyannote[423].speaker SPEAKER_03
transcript.pyannote[423].start 5216.65034375
transcript.pyannote[423].end 5241.65909375
transcript.pyannote[424].speaker SPEAKER_00
transcript.pyannote[424].start 5231.43284375
transcript.pyannote[424].end 5231.75346875
transcript.pyannote[425].speaker SPEAKER_03
transcript.pyannote[425].start 5241.86159375
transcript.pyannote[425].end 5242.14846875
transcript.pyannote[426].speaker SPEAKER_03
transcript.pyannote[426].start 5242.55346875
transcript.pyannote[426].end 5251.02471875
transcript.pyannote[427].speaker SPEAKER_06
transcript.pyannote[427].start 5251.02471875
transcript.pyannote[427].end 5252.77971875
transcript.pyannote[428].speaker SPEAKER_06
transcript.pyannote[428].start 5253.55596875
transcript.pyannote[428].end 5255.34471875
transcript.pyannote[429].speaker SPEAKER_06
transcript.pyannote[429].start 5255.37846875
transcript.pyannote[429].end 5258.58471875
transcript.pyannote[430].speaker SPEAKER_27
transcript.pyannote[430].start 5258.87159375
transcript.pyannote[430].end 5261.97659375
transcript.pyannote[431].speaker SPEAKER_06
transcript.pyannote[431].start 5260.66034375
transcript.pyannote[431].end 5260.96409375
transcript.pyannote[432].speaker SPEAKER_06
transcript.pyannote[432].start 5261.77409375
transcript.pyannote[432].end 5279.42534375
transcript.pyannote[433].speaker SPEAKER_03
transcript.pyannote[433].start 5265.19971875
transcript.pyannote[433].end 5265.30096875
transcript.pyannote[434].speaker SPEAKER_32
transcript.pyannote[434].start 5266.16159375
transcript.pyannote[434].end 5266.39784375
transcript.pyannote[435].speaker SPEAKER_03
transcript.pyannote[435].start 5266.39784375
transcript.pyannote[435].end 5266.49909375
transcript.pyannote[436].speaker SPEAKER_32
transcript.pyannote[436].start 5274.54846875
transcript.pyannote[436].end 5274.80159375
transcript.pyannote[437].speaker SPEAKER_03
transcript.pyannote[437].start 5274.80159375
transcript.pyannote[437].end 5274.83534375
transcript.pyannote[438].speaker SPEAKER_03
transcript.pyannote[438].start 5279.27346875
transcript.pyannote[438].end 5279.62784375
transcript.pyannote[439].speaker SPEAKER_06
transcript.pyannote[439].start 5279.49284375
transcript.pyannote[439].end 5279.52659375
transcript.pyannote[440].speaker SPEAKER_06
transcript.pyannote[440].start 5279.62784375
transcript.pyannote[440].end 5280.57284375
transcript.pyannote[441].speaker SPEAKER_03
transcript.pyannote[441].start 5279.64471875
transcript.pyannote[441].end 5281.46721875
transcript.pyannote[442].speaker SPEAKER_10
transcript.pyannote[442].start 5284.06596875
transcript.pyannote[442].end 5290.57971875
transcript.pyannote[443].speaker SPEAKER_32
transcript.pyannote[443].start 5292.13221875
transcript.pyannote[443].end 5292.14909375
transcript.pyannote[444].speaker SPEAKER_08
transcript.pyannote[444].start 5292.14909375
transcript.pyannote[444].end 5292.36846875
transcript.pyannote[445].speaker SPEAKER_32
transcript.pyannote[445].start 5292.36846875
transcript.pyannote[445].end 5292.43596875
transcript.pyannote[446].speaker SPEAKER_10
transcript.pyannote[446].start 5293.46534375
transcript.pyannote[446].end 5301.44721875
transcript.pyannote[447].speaker SPEAKER_34
transcript.pyannote[447].start 5303.45534375
transcript.pyannote[447].end 5305.42971875
transcript.pyannote[448].speaker SPEAKER_34
transcript.pyannote[448].start 5305.91909375
transcript.pyannote[448].end 5307.57284375
transcript.pyannote[449].speaker SPEAKER_34
transcript.pyannote[449].start 5307.75846875
transcript.pyannote[449].end 5309.83409375
transcript.pyannote[450].speaker SPEAKER_10
transcript.pyannote[450].start 5310.69471875
transcript.pyannote[450].end 5312.53409375
transcript.pyannote[451].speaker SPEAKER_10
transcript.pyannote[451].start 5312.97284375
transcript.pyannote[451].end 5315.65596875
transcript.pyannote[452].speaker SPEAKER_10
transcript.pyannote[452].start 5315.97659375
transcript.pyannote[452].end 5316.65159375
transcript.pyannote[453].speaker SPEAKER_39
transcript.pyannote[453].start 5320.34721875
transcript.pyannote[453].end 5320.39784375
transcript.pyannote[454].speaker SPEAKER_32
transcript.pyannote[454].start 5320.39784375
transcript.pyannote[454].end 5320.83659375
transcript.pyannote[455].speaker SPEAKER_10
transcript.pyannote[455].start 5320.83659375
transcript.pyannote[455].end 5321.66346875
transcript.pyannote[456].speaker SPEAKER_10
transcript.pyannote[456].start 5322.92909375
transcript.pyannote[456].end 5328.49784375
transcript.pyannote[457].speaker SPEAKER_32
transcript.pyannote[457].start 5328.49784375
transcript.pyannote[457].end 5329.07159375
transcript.pyannote[458].speaker SPEAKER_10
transcript.pyannote[458].start 5329.27409375
transcript.pyannote[458].end 5334.30284375
transcript.pyannote[459].speaker SPEAKER_34
transcript.pyannote[459].start 5331.02909375
transcript.pyannote[459].end 5335.48409375
transcript.pyannote[460].speaker SPEAKER_10
transcript.pyannote[460].start 5335.48409375
transcript.pyannote[460].end 5337.98159375
transcript.pyannote[461].speaker SPEAKER_34
transcript.pyannote[461].start 5336.51346875
transcript.pyannote[461].end 5354.92409375
transcript.pyannote[462].speaker SPEAKER_34
transcript.pyannote[462].start 5355.98721875
transcript.pyannote[462].end 5402.37659375
transcript.pyannote[463].speaker SPEAKER_34
transcript.pyannote[463].start 5403.60846875
transcript.pyannote[463].end 5403.62534375
transcript.pyannote[464].speaker SPEAKER_28
transcript.pyannote[464].start 5403.62534375
transcript.pyannote[464].end 5426.10284375
transcript.pyannote[465].speaker SPEAKER_34
transcript.pyannote[465].start 5410.62846875
transcript.pyannote[465].end 5411.26971875
transcript.pyannote[466].speaker SPEAKER_34
transcript.pyannote[466].start 5426.17034375
transcript.pyannote[466].end 5434.96221875
transcript.pyannote[467].speaker SPEAKER_34
transcript.pyannote[467].start 5435.40096875
transcript.pyannote[467].end 5442.26909375
transcript.pyannote[468].speaker SPEAKER_28
transcript.pyannote[468].start 5441.59409375
transcript.pyannote[468].end 5448.22596875
transcript.pyannote[469].speaker SPEAKER_34
transcript.pyannote[469].start 5446.01534375
transcript.pyannote[469].end 5456.47784375
transcript.pyannote[470].speaker SPEAKER_28
transcript.pyannote[470].start 5456.96721875
transcript.pyannote[470].end 5462.82284375
transcript.pyannote[471].speaker SPEAKER_28
transcript.pyannote[471].start 5463.21096875
transcript.pyannote[471].end 5474.73659375
transcript.pyannote[472].speaker SPEAKER_28
transcript.pyannote[472].start 5475.12471875
transcript.pyannote[472].end 5505.41534375
transcript.pyannote[473].speaker SPEAKER_34
transcript.pyannote[473].start 5505.26346875
transcript.pyannote[473].end 5511.76034375
transcript.pyannote[474].speaker SPEAKER_34
transcript.pyannote[474].start 5511.91221875
transcript.pyannote[474].end 5518.10534375
transcript.pyannote[475].speaker SPEAKER_03
transcript.pyannote[475].start 5512.99221875
transcript.pyannote[475].end 5513.02596875
transcript.pyannote[476].speaker SPEAKER_28
transcript.pyannote[476].start 5513.02596875
transcript.pyannote[476].end 5514.40971875
transcript.pyannote[477].speaker SPEAKER_03
transcript.pyannote[477].start 5514.40971875
transcript.pyannote[477].end 5514.42659375
transcript.pyannote[478].speaker SPEAKER_28
transcript.pyannote[478].start 5518.10534375
transcript.pyannote[478].end 5523.91034375
transcript.pyannote[479].speaker SPEAKER_34
transcript.pyannote[479].start 5522.25659375
transcript.pyannote[479].end 5522.30721875
transcript.pyannote[480].speaker SPEAKER_34
transcript.pyannote[480].start 5522.98221875
transcript.pyannote[480].end 5528.33159375
transcript.pyannote[481].speaker SPEAKER_28
transcript.pyannote[481].start 5528.33159375
transcript.pyannote[481].end 5536.26284375
transcript.pyannote[482].speaker SPEAKER_34
transcript.pyannote[482].start 5534.79471875
transcript.pyannote[482].end 5538.86159375
transcript.pyannote[483].speaker SPEAKER_28
transcript.pyannote[483].start 5538.86159375
transcript.pyannote[483].end 5543.31659375
transcript.pyannote[484].speaker SPEAKER_34
transcript.pyannote[484].start 5539.19909375
transcript.pyannote[484].end 5539.70534375
transcript.pyannote[485].speaker SPEAKER_34
transcript.pyannote[485].start 5544.22784375
transcript.pyannote[485].end 5546.32034375
transcript.pyannote[486].speaker SPEAKER_34
transcript.pyannote[486].start 5546.91096875
transcript.pyannote[486].end 5548.26096875
transcript.pyannote[487].speaker SPEAKER_28
transcript.pyannote[487].start 5547.02909375
transcript.pyannote[487].end 5551.02846875
transcript.pyannote[488].speaker SPEAKER_34
transcript.pyannote[488].start 5550.53909375
transcript.pyannote[488].end 5552.27721875
transcript.pyannote[489].speaker SPEAKER_28
transcript.pyannote[489].start 5552.27721875
transcript.pyannote[489].end 5552.58096875
transcript.pyannote[490].speaker SPEAKER_28
transcript.pyannote[490].start 5552.86784375
transcript.pyannote[490].end 5555.29784375
transcript.pyannote[491].speaker SPEAKER_34
transcript.pyannote[491].start 5555.29784375
transcript.pyannote[491].end 5556.61409375
transcript.pyannote[492].speaker SPEAKER_32
transcript.pyannote[492].start 5557.64346875
transcript.pyannote[492].end 5557.69409375
transcript.pyannote[493].speaker SPEAKER_34
transcript.pyannote[493].start 5557.76159375
transcript.pyannote[493].end 5592.00096875
transcript.pyannote[494].speaker SPEAKER_32
transcript.pyannote[494].start 5563.70159375
transcript.pyannote[494].end 5564.03909375
transcript.pyannote[495].speaker SPEAKER_28
transcript.pyannote[495].start 5564.03909375
transcript.pyannote[495].end 5564.20784375
transcript.pyannote[496].speaker SPEAKER_28
transcript.pyannote[496].start 5565.37221875
transcript.pyannote[496].end 5565.79409375
transcript.pyannote[497].speaker SPEAKER_28
transcript.pyannote[497].start 5568.52784375
transcript.pyannote[497].end 5572.99971875
transcript.pyannote[498].speaker SPEAKER_34
transcript.pyannote[498].start 5592.57471875
transcript.pyannote[498].end 5606.91846875
transcript.pyannote[499].speaker SPEAKER_28
transcript.pyannote[499].start 5600.16846875
transcript.pyannote[499].end 5601.77159375
transcript.pyannote[500].speaker SPEAKER_28
transcript.pyannote[500].start 5605.34909375
transcript.pyannote[500].end 5606.37846875
transcript.pyannote[501].speaker SPEAKER_28
transcript.pyannote[501].start 5606.91846875
transcript.pyannote[501].end 5623.16909375
transcript.pyannote[502].speaker SPEAKER_34
transcript.pyannote[502].start 5623.16909375
transcript.pyannote[502].end 5661.12096875
transcript.pyannote[503].speaker SPEAKER_34
transcript.pyannote[503].start 5661.55971875
transcript.pyannote[503].end 5691.47909375
transcript.pyannote[504].speaker SPEAKER_34
transcript.pyannote[504].start 5691.83346875
transcript.pyannote[504].end 5693.52096875
transcript.pyannote[505].speaker SPEAKER_28
transcript.pyannote[505].start 5694.65159375
transcript.pyannote[505].end 5696.84534375
transcript.pyannote[506].speaker SPEAKER_28
transcript.pyannote[506].start 5697.04784375
transcript.pyannote[506].end 5701.87409375
transcript.pyannote[507].speaker SPEAKER_34
transcript.pyannote[507].start 5702.19471875
transcript.pyannote[507].end 5737.81784375
transcript.pyannote[508].speaker SPEAKER_32
transcript.pyannote[508].start 5711.91471875
transcript.pyannote[508].end 5712.31971875
transcript.pyannote[509].speaker SPEAKER_00
transcript.pyannote[509].start 5713.43346875
transcript.pyannote[509].end 5713.45034375
transcript.pyannote[510].speaker SPEAKER_32
transcript.pyannote[510].start 5713.45034375
transcript.pyannote[510].end 5714.04096875
transcript.pyannote[511].speaker SPEAKER_28
transcript.pyannote[511].start 5737.21034375
transcript.pyannote[511].end 5737.83471875
transcript.pyannote[512].speaker SPEAKER_34
transcript.pyannote[512].start 5737.83471875
transcript.pyannote[512].end 5737.88534375
transcript.pyannote[513].speaker SPEAKER_28
transcript.pyannote[513].start 5737.88534375
transcript.pyannote[513].end 5737.91909375
transcript.pyannote[514].speaker SPEAKER_28
transcript.pyannote[514].start 5738.23971875
transcript.pyannote[514].end 5751.06471875
transcript.pyannote[515].speaker SPEAKER_34
transcript.pyannote[515].start 5751.28409375
transcript.pyannote[515].end 5758.33784375
transcript.pyannote[516].speaker SPEAKER_28
transcript.pyannote[516].start 5757.29159375
transcript.pyannote[516].end 5757.30846875
transcript.pyannote[517].speaker SPEAKER_32
transcript.pyannote[517].start 5757.30846875
transcript.pyannote[517].end 5758.64159375
transcript.pyannote[518].speaker SPEAKER_34
transcript.pyannote[518].start 5758.55721875
transcript.pyannote[518].end 5795.36159375
transcript.pyannote[519].speaker SPEAKER_28
transcript.pyannote[519].start 5794.85534375
transcript.pyannote[519].end 5797.40346875
transcript.pyannote[520].speaker SPEAKER_34
transcript.pyannote[520].start 5797.40346875
transcript.pyannote[520].end 5799.56346875
transcript.pyannote[521].speaker SPEAKER_34
transcript.pyannote[521].start 5799.63096875
transcript.pyannote[521].end 5800.72784375
transcript.pyannote[522].speaker SPEAKER_10
transcript.pyannote[522].start 5803.00596875
transcript.pyannote[522].end 5803.02284375
transcript.pyannote[523].speaker SPEAKER_27
transcript.pyannote[523].start 5803.02284375
transcript.pyannote[523].end 5805.94221875
transcript.pyannote[524].speaker SPEAKER_10
transcript.pyannote[524].start 5805.94221875
transcript.pyannote[524].end 5805.97596875
transcript.pyannote[525].speaker SPEAKER_11
transcript.pyannote[525].start 5806.81971875
transcript.pyannote[525].end 5807.47784375
transcript.pyannote[526].speaker SPEAKER_10
transcript.pyannote[526].start 5808.22034375
transcript.pyannote[526].end 5811.76409375
transcript.pyannote[527].speaker SPEAKER_22
transcript.pyannote[527].start 5817.43409375
transcript.pyannote[527].end 5820.48846875
transcript.pyannote[528].speaker SPEAKER_22
transcript.pyannote[528].start 5821.29846875
transcript.pyannote[528].end 5822.96909375
transcript.pyannote[529].speaker SPEAKER_10
transcript.pyannote[529].start 5822.14221875
transcript.pyannote[529].end 5823.15471875
transcript.pyannote[530].speaker SPEAKER_22
transcript.pyannote[530].start 5823.15471875
transcript.pyannote[530].end 5823.99846875
transcript.pyannote[531].speaker SPEAKER_22
transcript.pyannote[531].start 5824.77471875
transcript.pyannote[531].end 5824.94346875
transcript.pyannote[532].speaker SPEAKER_08
transcript.pyannote[532].start 5824.94346875
transcript.pyannote[532].end 5825.92221875
transcript.pyannote[533].speaker SPEAKER_04
transcript.pyannote[533].start 5829.48284375
transcript.pyannote[533].end 5830.10721875
transcript.pyannote[534].speaker SPEAKER_22
transcript.pyannote[534].start 5830.63034375
transcript.pyannote[534].end 5831.82846875
transcript.pyannote[535].speaker SPEAKER_22
transcript.pyannote[535].start 5831.99721875
transcript.pyannote[535].end 5856.39846875
transcript.pyannote[536].speaker SPEAKER_22
transcript.pyannote[536].start 5856.78659375
transcript.pyannote[536].end 5876.91846875
transcript.pyannote[537].speaker SPEAKER_22
transcript.pyannote[537].start 5877.67784375
transcript.pyannote[537].end 5881.60971875
transcript.pyannote[538].speaker SPEAKER_22
transcript.pyannote[538].start 5881.82909375
transcript.pyannote[538].end 5897.89409375
transcript.pyannote[539].speaker SPEAKER_22
transcript.pyannote[539].start 5898.26534375
transcript.pyannote[539].end 5899.49721875
transcript.pyannote[540].speaker SPEAKER_28
transcript.pyannote[540].start 5899.83471875
transcript.pyannote[540].end 5912.57534375
transcript.pyannote[541].speaker SPEAKER_28
transcript.pyannote[541].start 5912.79471875
transcript.pyannote[541].end 5920.97909375
transcript.pyannote[542].speaker SPEAKER_28
transcript.pyannote[542].start 5921.28284375
transcript.pyannote[542].end 5924.64096875
transcript.pyannote[543].speaker SPEAKER_28
transcript.pyannote[543].start 5924.92784375
transcript.pyannote[543].end 5939.20409375
transcript.pyannote[544].speaker SPEAKER_28
transcript.pyannote[544].start 5939.37284375
transcript.pyannote[544].end 5945.00909375
transcript.pyannote[545].speaker SPEAKER_22
transcript.pyannote[545].start 5945.59971875
transcript.pyannote[545].end 5955.87659375
transcript.pyannote[546].speaker SPEAKER_28
transcript.pyannote[546].start 5955.87659375
transcript.pyannote[546].end 5961.98534375
transcript.pyannote[547].speaker SPEAKER_22
transcript.pyannote[547].start 5962.22159375
transcript.pyannote[547].end 5963.63909375
transcript.pyannote[548].speaker SPEAKER_28
transcript.pyannote[548].start 5963.35221875
transcript.pyannote[548].end 5963.84159375
transcript.pyannote[549].speaker SPEAKER_22
transcript.pyannote[549].start 5963.84159375
transcript.pyannote[549].end 6016.15409375
transcript.pyannote[550].speaker SPEAKER_06
transcript.pyannote[550].start 5978.64096875
transcript.pyannote[550].end 5978.79284375
transcript.pyannote[551].speaker SPEAKER_28
transcript.pyannote[551].start 6016.79534375
transcript.pyannote[551].end 6019.24221875
transcript.pyannote[552].speaker SPEAKER_28
transcript.pyannote[552].start 6019.69784375
transcript.pyannote[552].end 6071.89221875
transcript.pyannote[553].speaker SPEAKER_22
transcript.pyannote[553].start 6072.53346875
transcript.pyannote[553].end 6106.95846875
transcript.pyannote[554].speaker SPEAKER_28
transcript.pyannote[554].start 6107.97096875
transcript.pyannote[554].end 6108.69659375
transcript.pyannote[555].speaker SPEAKER_22
transcript.pyannote[555].start 6108.83159375
transcript.pyannote[555].end 6141.34971875
transcript.pyannote[556].speaker SPEAKER_22
transcript.pyannote[556].start 6141.41721875
transcript.pyannote[556].end 6145.06221875
transcript.pyannote[557].speaker SPEAKER_22
transcript.pyannote[557].start 6145.29846875
transcript.pyannote[557].end 6147.44159375
transcript.pyannote[558].speaker SPEAKER_22
transcript.pyannote[558].start 6147.69471875
transcript.pyannote[558].end 6164.06346875
transcript.pyannote[559].speaker SPEAKER_22
transcript.pyannote[559].start 6164.41784375
transcript.pyannote[559].end 6171.08346875
transcript.pyannote[560].speaker SPEAKER_28
transcript.pyannote[560].start 6171.37034375
transcript.pyannote[560].end 6206.21721875
transcript.pyannote[561].speaker SPEAKER_28
transcript.pyannote[561].start 6206.80784375
transcript.pyannote[561].end 6211.09409375
transcript.pyannote[562].speaker SPEAKER_28
transcript.pyannote[562].start 6211.34721875
transcript.pyannote[562].end 6211.54971875
transcript.pyannote[563].speaker SPEAKER_22
transcript.pyannote[563].start 6211.49909375
transcript.pyannote[563].end 6218.08034375
transcript.pyannote[564].speaker SPEAKER_28
transcript.pyannote[564].start 6212.14034375
transcript.pyannote[564].end 6212.86596875
transcript.pyannote[565].speaker SPEAKER_28
transcript.pyannote[565].start 6218.08034375
transcript.pyannote[565].end 6252.92721875
transcript.pyannote[566].speaker SPEAKER_28
transcript.pyannote[566].start 6253.06221875
transcript.pyannote[566].end 6253.75409375
transcript.pyannote[567].speaker SPEAKER_28
transcript.pyannote[567].start 6254.27721875
transcript.pyannote[567].end 6257.55096875
transcript.pyannote[568].speaker SPEAKER_28
transcript.pyannote[568].start 6258.02346875
transcript.pyannote[568].end 6260.21721875
transcript.pyannote[569].speaker SPEAKER_28
transcript.pyannote[569].start 6260.57159375
transcript.pyannote[569].end 6269.97096875
transcript.pyannote[570].speaker SPEAKER_22
transcript.pyannote[570].start 6269.81909375
transcript.pyannote[570].end 6335.37846875
transcript.pyannote[571].speaker SPEAKER_35
transcript.pyannote[571].start 6340.28909375
transcript.pyannote[571].end 6341.25096875
transcript.pyannote[572].speaker SPEAKER_35
transcript.pyannote[572].start 6341.85846875
transcript.pyannote[572].end 6352.69221875
transcript.pyannote[573].speaker SPEAKER_35
transcript.pyannote[573].start 6352.97909375
transcript.pyannote[573].end 6355.96596875
transcript.pyannote[574].speaker SPEAKER_35
transcript.pyannote[574].start 6356.64096875
transcript.pyannote[574].end 6357.50159375
transcript.pyannote[575].speaker SPEAKER_35
transcript.pyannote[575].start 6357.60284375
transcript.pyannote[575].end 6367.66034375
transcript.pyannote[576].speaker SPEAKER_22
transcript.pyannote[576].start 6368.31846875
transcript.pyannote[576].end 6391.31909375
transcript.pyannote[577].speaker SPEAKER_22
transcript.pyannote[577].start 6391.67346875
transcript.pyannote[577].end 6395.97659375
transcript.pyannote[578].speaker SPEAKER_28
transcript.pyannote[578].start 6395.68971875
transcript.pyannote[578].end 6410.40471875
transcript.pyannote[579].speaker SPEAKER_28
transcript.pyannote[579].start 6410.80971875
transcript.pyannote[579].end 6421.12034375
transcript.pyannote[580].speaker SPEAKER_28
transcript.pyannote[580].start 6421.25534375
transcript.pyannote[580].end 6429.25409375
transcript.pyannote[581].speaker SPEAKER_22
transcript.pyannote[581].start 6428.71409375
transcript.pyannote[581].end 6434.24909375
transcript.pyannote[582].speaker SPEAKER_22
transcript.pyannote[582].start 6434.62034375
transcript.pyannote[582].end 6442.80471875
transcript.pyannote[583].speaker SPEAKER_10
transcript.pyannote[583].start 6442.65284375
transcript.pyannote[583].end 6442.68659375
transcript.pyannote[584].speaker SPEAKER_32
transcript.pyannote[584].start 6442.68659375
transcript.pyannote[584].end 6442.83846875
transcript.pyannote[585].speaker SPEAKER_10
transcript.pyannote[585].start 6442.80471875
transcript.pyannote[585].end 6451.19159375
transcript.pyannote[586].speaker SPEAKER_22
transcript.pyannote[586].start 6442.83846875
transcript.pyannote[586].end 6442.97346875
transcript.pyannote[587].speaker SPEAKER_28
transcript.pyannote[587].start 6442.97346875
transcript.pyannote[587].end 6443.07471875
transcript.pyannote[588].speaker SPEAKER_22
transcript.pyannote[588].start 6443.07471875
transcript.pyannote[588].end 6443.09159375
transcript.pyannote[589].speaker SPEAKER_28
transcript.pyannote[589].start 6443.09159375
transcript.pyannote[589].end 6443.12534375
transcript.pyannote[590].speaker SPEAKER_11
transcript.pyannote[590].start 6443.12534375
transcript.pyannote[590].end 6443.14221875
transcript.pyannote[591].speaker SPEAKER_11
transcript.pyannote[591].start 6452.06909375
transcript.pyannote[591].end 6452.82846875
transcript.pyannote[592].speaker SPEAKER_29
transcript.pyannote[592].start 6456.94596875
transcript.pyannote[592].end 6464.35409375
transcript.pyannote[593].speaker SPEAKER_10
transcript.pyannote[593].start 6457.84034375
transcript.pyannote[593].end 6457.90784375
transcript.pyannote[594].speaker SPEAKER_11
transcript.pyannote[594].start 6457.90784375
transcript.pyannote[594].end 6457.97534375
transcript.pyannote[595].speaker SPEAKER_10
transcript.pyannote[595].start 6457.97534375
transcript.pyannote[595].end 6458.04284375
transcript.pyannote[596].speaker SPEAKER_11
transcript.pyannote[596].start 6458.04284375
transcript.pyannote[596].end 6458.19471875
transcript.pyannote[597].speaker SPEAKER_10
transcript.pyannote[597].start 6458.19471875
transcript.pyannote[597].end 6458.68409375
transcript.pyannote[598].speaker SPEAKER_10
transcript.pyannote[598].start 6464.53971875
transcript.pyannote[598].end 6466.21034375
transcript.pyannote[599].speaker SPEAKER_10
transcript.pyannote[599].start 6466.53096875
transcript.pyannote[599].end 6468.72471875
transcript.pyannote[600].speaker SPEAKER_29
transcript.pyannote[600].start 6471.35721875
transcript.pyannote[600].end 6476.36909375
transcript.pyannote[601].speaker SPEAKER_29
transcript.pyannote[601].start 6476.85846875
transcript.pyannote[601].end 6493.34534375
transcript.pyannote[602].speaker SPEAKER_29
transcript.pyannote[602].start 6493.71659375
transcript.pyannote[602].end 6496.24784375
transcript.pyannote[603].speaker SPEAKER_28
transcript.pyannote[603].start 6496.24784375
transcript.pyannote[603].end 6496.26471875
transcript.pyannote[604].speaker SPEAKER_28
transcript.pyannote[604].start 6497.78346875
transcript.pyannote[604].end 6505.03971875
transcript.pyannote[605].speaker SPEAKER_29
transcript.pyannote[605].start 6507.85784375
transcript.pyannote[605].end 6509.74784375
transcript.pyannote[606].speaker SPEAKER_29
transcript.pyannote[606].start 6511.16534375
transcript.pyannote[606].end 6514.48971875
transcript.pyannote[607].speaker SPEAKER_29
transcript.pyannote[607].start 6517.78034375
transcript.pyannote[607].end 6518.70846875
transcript.pyannote[608].speaker SPEAKER_29
transcript.pyannote[608].start 6522.38721875
transcript.pyannote[608].end 6523.31534375
transcript.pyannote[609].speaker SPEAKER_32
transcript.pyannote[609].start 6525.45846875
transcript.pyannote[609].end 6526.03221875
transcript.pyannote[610].speaker SPEAKER_34
transcript.pyannote[610].start 6526.03221875
transcript.pyannote[610].end 6526.08284375
transcript.pyannote[611].speaker SPEAKER_34
transcript.pyannote[611].start 6526.23471875
transcript.pyannote[611].end 6526.31909375
transcript.pyannote[612].speaker SPEAKER_34
transcript.pyannote[612].start 6526.33596875
transcript.pyannote[612].end 6526.38659375
transcript.pyannote[613].speaker SPEAKER_34
transcript.pyannote[613].start 6527.92221875
transcript.pyannote[613].end 6527.98971875
transcript.pyannote[614].speaker SPEAKER_34
transcript.pyannote[614].start 6528.10784375
transcript.pyannote[614].end 6528.47909375
transcript.pyannote[615].speaker SPEAKER_34
transcript.pyannote[615].start 6528.66471875
transcript.pyannote[615].end 6528.76596875
transcript.pyannote[616].speaker SPEAKER_34
transcript.pyannote[616].start 6528.88409375
transcript.pyannote[616].end 6531.02721875
transcript.pyannote[617].speaker SPEAKER_31
transcript.pyannote[617].start 6531.02721875
transcript.pyannote[617].end 6531.09471875
transcript.pyannote[618].speaker SPEAKER_34
transcript.pyannote[618].start 6531.09471875
transcript.pyannote[618].end 6531.21284375
transcript.pyannote[619].speaker SPEAKER_31
transcript.pyannote[619].start 6531.21284375
transcript.pyannote[619].end 6531.44909375
transcript.pyannote[620].speaker SPEAKER_34
transcript.pyannote[620].start 6531.44909375
transcript.pyannote[620].end 6531.51659375
transcript.pyannote[621].speaker SPEAKER_31
transcript.pyannote[621].start 6531.51659375
transcript.pyannote[621].end 6531.97221875
transcript.pyannote[622].speaker SPEAKER_34
transcript.pyannote[622].start 6531.97221875
transcript.pyannote[622].end 6533.17034375
transcript.pyannote[623].speaker SPEAKER_29
transcript.pyannote[623].start 6534.25034375
transcript.pyannote[623].end 6543.58221875
transcript.pyannote[624].speaker SPEAKER_29
transcript.pyannote[624].start 6546.80534375
transcript.pyannote[624].end 6576.97784375
transcript.pyannote[625].speaker SPEAKER_26
transcript.pyannote[625].start 6577.09596875
transcript.pyannote[625].end 6580.42034375
transcript.pyannote[626].speaker SPEAKER_29
transcript.pyannote[626].start 6581.01096875
transcript.pyannote[626].end 6593.02596875
transcript.pyannote[627].speaker SPEAKER_29
transcript.pyannote[627].start 6593.71784375
transcript.pyannote[627].end 6596.02971875
transcript.pyannote[628].speaker SPEAKER_29
transcript.pyannote[628].start 6596.43471875
transcript.pyannote[628].end 6602.52659375
transcript.pyannote[629].speaker SPEAKER_26
transcript.pyannote[629].start 6602.74596875
transcript.pyannote[629].end 6603.16784375
transcript.pyannote[630].speaker SPEAKER_26
transcript.pyannote[630].start 6603.26909375
transcript.pyannote[630].end 6605.46284375
transcript.pyannote[631].speaker SPEAKER_26
transcript.pyannote[631].start 6605.68221875
transcript.pyannote[631].end 6605.93534375
transcript.pyannote[632].speaker SPEAKER_32
transcript.pyannote[632].start 6605.93534375
transcript.pyannote[632].end 6605.95221875
transcript.pyannote[633].speaker SPEAKER_29
transcript.pyannote[633].start 6606.55971875
transcript.pyannote[633].end 6607.48784375
transcript.pyannote[634].speaker SPEAKER_29
transcript.pyannote[634].start 6608.01096875
transcript.pyannote[634].end 6624.17721875
transcript.pyannote[635].speaker SPEAKER_26
transcript.pyannote[635].start 6625.18971875
transcript.pyannote[635].end 6629.44221875
transcript.pyannote[636].speaker SPEAKER_26
transcript.pyannote[636].start 6629.49284375
transcript.pyannote[636].end 6632.14221875
transcript.pyannote[637].speaker SPEAKER_29
transcript.pyannote[637].start 6632.27721875
transcript.pyannote[637].end 6646.45221875
transcript.pyannote[638].speaker SPEAKER_26
transcript.pyannote[638].start 6633.55971875
transcript.pyannote[638].end 6633.59346875
transcript.pyannote[639].speaker SPEAKER_26
transcript.pyannote[639].start 6633.67784375
transcript.pyannote[639].end 6634.43721875
transcript.pyannote[640].speaker SPEAKER_29
transcript.pyannote[640].start 6647.02596875
transcript.pyannote[640].end 6654.38346875
transcript.pyannote[641].speaker SPEAKER_38
transcript.pyannote[641].start 6654.58596875
transcript.pyannote[641].end 6654.97409375
transcript.pyannote[642].speaker SPEAKER_29
transcript.pyannote[642].start 6656.22284375
transcript.pyannote[642].end 6698.42721875
transcript.pyannote[643].speaker SPEAKER_29
transcript.pyannote[643].start 6698.62971875
transcript.pyannote[643].end 6700.33409375
transcript.pyannote[644].speaker SPEAKER_26
transcript.pyannote[644].start 6700.51971875
transcript.pyannote[644].end 6713.31096875
transcript.pyannote[645].speaker SPEAKER_29
transcript.pyannote[645].start 6709.69971875
transcript.pyannote[645].end 6726.35534375
transcript.pyannote[646].speaker SPEAKER_29
transcript.pyannote[646].start 6726.64221875
transcript.pyannote[646].end 6728.58284375
transcript.pyannote[647].speaker SPEAKER_29
transcript.pyannote[647].start 6729.02159375
transcript.pyannote[647].end 6730.86096875
transcript.pyannote[648].speaker SPEAKER_26
transcript.pyannote[648].start 6731.70471875
transcript.pyannote[648].end 6732.93659375
transcript.pyannote[649].speaker SPEAKER_26
transcript.pyannote[649].start 6732.97034375
transcript.pyannote[649].end 6736.34534375
transcript.pyannote[650].speaker SPEAKER_26
transcript.pyannote[650].start 6736.63221875
transcript.pyannote[650].end 6741.59346875
transcript.pyannote[651].speaker SPEAKER_26
transcript.pyannote[651].start 6741.82971875
transcript.pyannote[651].end 6745.47471875
transcript.pyannote[652].speaker SPEAKER_26
transcript.pyannote[652].start 6745.77846875
transcript.pyannote[652].end 6747.87096875
transcript.pyannote[653].speaker SPEAKER_26
transcript.pyannote[653].start 6748.36034375
transcript.pyannote[653].end 6750.87471875
transcript.pyannote[654].speaker SPEAKER_29
transcript.pyannote[654].start 6750.08159375
transcript.pyannote[654].end 6750.65534375
transcript.pyannote[655].speaker SPEAKER_26
transcript.pyannote[655].start 6751.12784375
transcript.pyannote[655].end 6751.44846875
transcript.pyannote[656].speaker SPEAKER_29
transcript.pyannote[656].start 6751.44846875
transcript.pyannote[656].end 6754.35096875
transcript.pyannote[657].speaker SPEAKER_29
transcript.pyannote[657].start 6755.02596875
transcript.pyannote[657].end 6764.08784375
transcript.pyannote[658].speaker SPEAKER_29
transcript.pyannote[658].start 6764.83034375
transcript.pyannote[658].end 6765.96096875
transcript.pyannote[659].speaker SPEAKER_28
transcript.pyannote[659].start 6765.96096875
transcript.pyannote[659].end 6766.34909375
transcript.pyannote[660].speaker SPEAKER_28
transcript.pyannote[660].start 6766.60221875
transcript.pyannote[660].end 6767.22659375
transcript.pyannote[661].speaker SPEAKER_28
transcript.pyannote[661].start 6767.39534375
transcript.pyannote[661].end 6775.22534375
transcript.pyannote[662].speaker SPEAKER_29
transcript.pyannote[662].start 6775.22534375
transcript.pyannote[662].end 6779.93346875
transcript.pyannote[663].speaker SPEAKER_28
transcript.pyannote[663].start 6779.93346875
transcript.pyannote[663].end 6779.95034375
transcript.pyannote[664].speaker SPEAKER_29
transcript.pyannote[664].start 6779.95034375
transcript.pyannote[664].end 6779.96721875
transcript.pyannote[665].speaker SPEAKER_28
transcript.pyannote[665].start 6779.96721875
transcript.pyannote[665].end 6780.00096875
transcript.pyannote[666].speaker SPEAKER_29
transcript.pyannote[666].start 6780.00096875
transcript.pyannote[666].end 6780.22034375
transcript.pyannote[667].speaker SPEAKER_28
transcript.pyannote[667].start 6780.22034375
transcript.pyannote[667].end 6786.85221875
transcript.pyannote[668].speaker SPEAKER_29
transcript.pyannote[668].start 6785.28284375
transcript.pyannote[668].end 6797.98971875
transcript.pyannote[669].speaker SPEAKER_29
transcript.pyannote[669].start 6798.52971875
transcript.pyannote[669].end 6810.88221875
transcript.pyannote[670].speaker SPEAKER_29
transcript.pyannote[670].start 6811.47284375
transcript.pyannote[670].end 6833.12346875
transcript.pyannote[671].speaker SPEAKER_29
transcript.pyannote[671].start 6833.95034375
transcript.pyannote[671].end 6845.30721875
transcript.pyannote[672].speaker SPEAKER_29
transcript.pyannote[672].start 6845.40846875
transcript.pyannote[672].end 6853.03596875
transcript.pyannote[673].speaker SPEAKER_28
transcript.pyannote[673].start 6853.03596875
transcript.pyannote[673].end 6855.39846875
transcript.pyannote[674].speaker SPEAKER_29
transcript.pyannote[674].start 6855.39846875
transcript.pyannote[674].end 6857.57534375
transcript.pyannote[675].speaker SPEAKER_28
transcript.pyannote[675].start 6855.43221875
transcript.pyannote[675].end 6855.63471875
transcript.pyannote[676].speaker SPEAKER_28
transcript.pyannote[676].start 6856.12409375
transcript.pyannote[676].end 6856.42784375
transcript.pyannote[677].speaker SPEAKER_28
transcript.pyannote[677].start 6856.56284375
transcript.pyannote[677].end 6857.59221875
transcript.pyannote[678].speaker SPEAKER_29
transcript.pyannote[678].start 6857.59221875
transcript.pyannote[678].end 6857.71034375
transcript.pyannote[679].speaker SPEAKER_28
transcript.pyannote[679].start 6857.71034375
transcript.pyannote[679].end 6857.81159375
transcript.pyannote[680].speaker SPEAKER_29
transcript.pyannote[680].start 6857.79471875
transcript.pyannote[680].end 6861.91221875
transcript.pyannote[681].speaker SPEAKER_29
transcript.pyannote[681].start 6863.11034375
transcript.pyannote[681].end 6864.40971875
transcript.pyannote[682].speaker SPEAKER_28
transcript.pyannote[682].start 6864.40971875
transcript.pyannote[682].end 6864.46034375
transcript.pyannote[683].speaker SPEAKER_29
transcript.pyannote[683].start 6865.48971875
transcript.pyannote[683].end 6865.50659375
transcript.pyannote[684].speaker SPEAKER_28
transcript.pyannote[684].start 6865.50659375
transcript.pyannote[684].end 6871.02471875
transcript.pyannote[685].speaker SPEAKER_29
transcript.pyannote[685].start 6871.12596875
transcript.pyannote[685].end 6875.74971875
transcript.pyannote[686].speaker SPEAKER_28
transcript.pyannote[686].start 6877.21784375
transcript.pyannote[686].end 6878.02784375
transcript.pyannote[687].speaker SPEAKER_28
transcript.pyannote[687].start 6878.48346875
transcript.pyannote[687].end 6880.10346875
transcript.pyannote[688].speaker SPEAKER_28
transcript.pyannote[688].start 6880.20471875
transcript.pyannote[688].end 6884.10284375
transcript.pyannote[689].speaker SPEAKER_29
transcript.pyannote[689].start 6882.70221875
transcript.pyannote[689].end 6885.36846875
transcript.pyannote[690].speaker SPEAKER_28
transcript.pyannote[690].start 6885.36846875
transcript.pyannote[690].end 6886.48221875
transcript.pyannote[691].speaker SPEAKER_29
transcript.pyannote[691].start 6885.57096875
transcript.pyannote[691].end 6885.67221875
transcript.pyannote[692].speaker SPEAKER_29
transcript.pyannote[692].start 6885.73971875
transcript.pyannote[692].end 6885.77346875
transcript.pyannote[693].speaker SPEAKER_29
transcript.pyannote[693].start 6886.48221875
transcript.pyannote[693].end 6886.63409375
transcript.pyannote[694].speaker SPEAKER_28
transcript.pyannote[694].start 6886.63409375
transcript.pyannote[694].end 6886.66784375
transcript.pyannote[695].speaker SPEAKER_29
transcript.pyannote[695].start 6886.92096875
transcript.pyannote[695].end 6901.12971875
transcript.pyannote[696].speaker SPEAKER_28
transcript.pyannote[696].start 6898.39596875
transcript.pyannote[696].end 6902.93534375
transcript.pyannote[697].speaker SPEAKER_28
transcript.pyannote[697].start 6903.49221875
transcript.pyannote[697].end 6909.22971875
transcript.pyannote[698].speaker SPEAKER_29
transcript.pyannote[698].start 6909.22971875
transcript.pyannote[698].end 6909.26346875
transcript.pyannote[699].speaker SPEAKER_29
transcript.pyannote[699].start 6910.17471875
transcript.pyannote[699].end 6918.98346875
transcript.pyannote[700].speaker SPEAKER_28
transcript.pyannote[700].start 6918.98346875
transcript.pyannote[700].end 6925.09221875
transcript.pyannote[701].speaker SPEAKER_29
transcript.pyannote[701].start 6924.60284375
transcript.pyannote[701].end 6929.85096875
transcript.pyannote[702].speaker SPEAKER_29
transcript.pyannote[702].start 6930.23909375
transcript.pyannote[702].end 6939.03096875
transcript.pyannote[703].speaker SPEAKER_28
transcript.pyannote[703].start 6939.03096875
transcript.pyannote[703].end 6941.12346875
transcript.pyannote[704].speaker SPEAKER_28
transcript.pyannote[704].start 6942.10221875
transcript.pyannote[704].end 6944.12721875
transcript.pyannote[705].speaker SPEAKER_28
transcript.pyannote[705].start 6947.38409375
transcript.pyannote[705].end 6948.63284375
transcript.pyannote[706].speaker SPEAKER_29
transcript.pyannote[706].start 6948.63284375
transcript.pyannote[706].end 6948.70034375
transcript.pyannote[707].speaker SPEAKER_28
transcript.pyannote[707].start 6948.70034375
transcript.pyannote[707].end 6951.97409375
transcript.pyannote[708].speaker SPEAKER_29
transcript.pyannote[708].start 6951.97409375
transcript.pyannote[708].end 6952.02471875
transcript.pyannote[709].speaker SPEAKER_28
transcript.pyannote[709].start 6952.02471875
transcript.pyannote[709].end 6952.96971875
transcript.pyannote[710].speaker SPEAKER_29
transcript.pyannote[710].start 6952.96971875
transcript.pyannote[710].end 6953.03721875
transcript.pyannote[711].speaker SPEAKER_28
transcript.pyannote[711].start 6953.03721875
transcript.pyannote[711].end 6957.57659375
transcript.pyannote[712].speaker SPEAKER_28
transcript.pyannote[712].start 6958.08284375
transcript.pyannote[712].end 6960.12471875
transcript.pyannote[713].speaker SPEAKER_02
transcript.pyannote[713].start 6960.22596875
transcript.pyannote[713].end 6965.22096875
transcript.pyannote[714].speaker SPEAKER_28
transcript.pyannote[714].start 6963.04409375
transcript.pyannote[714].end 6964.96784375
transcript.pyannote[715].speaker SPEAKER_29
transcript.pyannote[715].start 6964.96784375
transcript.pyannote[715].end 6965.27159375
transcript.pyannote[716].speaker SPEAKER_28
transcript.pyannote[716].start 6965.22096875
transcript.pyannote[716].end 6965.25471875
transcript.pyannote[717].speaker SPEAKER_28
transcript.pyannote[717].start 6965.27159375
transcript.pyannote[717].end 6965.96346875
transcript.pyannote[718].speaker SPEAKER_02
transcript.pyannote[718].start 6965.96346875
transcript.pyannote[718].end 6969.77721875
transcript.pyannote[719].speaker SPEAKER_29
transcript.pyannote[719].start 6965.98034375
transcript.pyannote[719].end 6967.78596875
transcript.pyannote[720].speaker SPEAKER_29
transcript.pyannote[720].start 6969.22034375
transcript.pyannote[720].end 6971.02596875
transcript.pyannote[721].speaker SPEAKER_02
transcript.pyannote[721].start 6971.02596875
transcript.pyannote[721].end 6971.59971875
transcript.pyannote[722].speaker SPEAKER_02
transcript.pyannote[722].start 6972.00471875
transcript.pyannote[722].end 6978.82221875
transcript.pyannote[723].speaker SPEAKER_37
transcript.pyannote[723].start 6989.06534375
transcript.pyannote[723].end 6992.27159375
transcript.pyannote[724].speaker SPEAKER_32
transcript.pyannote[724].start 6992.96346875
transcript.pyannote[724].end 6993.03096875
transcript.pyannote[725].speaker SPEAKER_02
transcript.pyannote[725].start 6994.98846875
transcript.pyannote[725].end 6996.70971875
transcript.pyannote[726].speaker SPEAKER_37
transcript.pyannote[726].start 6996.70971875
transcript.pyannote[726].end 6997.51971875
transcript.pyannote[727].speaker SPEAKER_02
transcript.pyannote[727].start 6996.72659375
transcript.pyannote[727].end 6997.43534375
transcript.pyannote[728].speaker SPEAKER_39
transcript.pyannote[728].start 6997.43534375
transcript.pyannote[728].end 6997.46909375
transcript.pyannote[729].speaker SPEAKER_37
transcript.pyannote[729].start 6998.02596875
transcript.pyannote[729].end 6998.31284375
transcript.pyannote[730].speaker SPEAKER_37
transcript.pyannote[730].start 6998.80221875
transcript.pyannote[730].end 6999.22409375
transcript.pyannote[731].speaker SPEAKER_37
transcript.pyannote[731].start 7000.08471875
transcript.pyannote[731].end 7000.59096875
transcript.pyannote[732].speaker SPEAKER_37
transcript.pyannote[732].start 7001.35034375
transcript.pyannote[732].end 7018.73159375
transcript.pyannote[733].speaker SPEAKER_37
transcript.pyannote[733].start 7018.93409375
transcript.pyannote[733].end 7031.65784375
transcript.pyannote[734].speaker SPEAKER_37
transcript.pyannote[734].start 7031.89409375
transcript.pyannote[734].end 7038.00284375
transcript.pyannote[735].speaker SPEAKER_37
transcript.pyannote[735].start 7039.31909375
transcript.pyannote[735].end 7041.86721875
transcript.pyannote[736].speaker SPEAKER_37
transcript.pyannote[736].start 7044.41534375
transcript.pyannote[736].end 7077.20346875
transcript.pyannote[737].speaker SPEAKER_32
transcript.pyannote[737].start 7047.31784375
transcript.pyannote[737].end 7047.40221875
transcript.pyannote[738].speaker SPEAKER_03
transcript.pyannote[738].start 7051.36784375
transcript.pyannote[738].end 7051.94159375
transcript.pyannote[739].speaker SPEAKER_00
transcript.pyannote[739].start 7054.57409375
transcript.pyannote[739].end 7054.82721875
transcript.pyannote[740].speaker SPEAKER_00
transcript.pyannote[740].start 7060.83471875
transcript.pyannote[740].end 7060.96971875
transcript.pyannote[741].speaker SPEAKER_00
transcript.pyannote[741].start 7062.67409375
transcript.pyannote[741].end 7063.85534375
transcript.pyannote[742].speaker SPEAKER_00
transcript.pyannote[742].start 7067.44971875
transcript.pyannote[742].end 7067.61846875
transcript.pyannote[743].speaker SPEAKER_00
transcript.pyannote[743].start 7068.15846875
transcript.pyannote[743].end 7068.25971875
transcript.pyannote[744].speaker SPEAKER_26
transcript.pyannote[744].start 7077.20346875
transcript.pyannote[744].end 7077.23721875
transcript.pyannote[745].speaker SPEAKER_37
transcript.pyannote[745].start 7077.23721875
transcript.pyannote[745].end 7077.25409375
transcript.pyannote[746].speaker SPEAKER_37
transcript.pyannote[746].start 7077.60846875
transcript.pyannote[746].end 7077.96284375
transcript.pyannote[747].speaker SPEAKER_26
transcript.pyannote[747].start 7077.96284375
transcript.pyannote[747].end 7108.18596875
transcript.pyannote[748].speaker SPEAKER_26
transcript.pyannote[748].start 7108.32096875
transcript.pyannote[748].end 7110.91971875
transcript.pyannote[749].speaker SPEAKER_26
transcript.pyannote[749].start 7111.22346875
transcript.pyannote[749].end 7113.36659375
transcript.pyannote[750].speaker SPEAKER_26
transcript.pyannote[750].start 7113.58596875
transcript.pyannote[750].end 7115.03721875
transcript.pyannote[751].speaker SPEAKER_26
transcript.pyannote[751].start 7115.22284375
transcript.pyannote[751].end 7115.74596875
transcript.pyannote[752].speaker SPEAKER_26
transcript.pyannote[752].start 7116.01596875
transcript.pyannote[752].end 7130.03909375
transcript.pyannote[753].speaker SPEAKER_27
transcript.pyannote[753].start 7120.90971875
transcript.pyannote[753].end 7121.04471875
transcript.pyannote[754].speaker SPEAKER_27
transcript.pyannote[754].start 7121.88846875
transcript.pyannote[754].end 7122.02346875
transcript.pyannote[755].speaker SPEAKER_39
transcript.pyannote[755].start 7122.02346875
transcript.pyannote[755].end 7124.55471875
transcript.pyannote[756].speaker SPEAKER_37
transcript.pyannote[756].start 7130.03909375
transcript.pyannote[756].end 7148.21346875
transcript.pyannote[757].speaker SPEAKER_37
transcript.pyannote[757].start 7148.44971875
transcript.pyannote[757].end 7152.90471875
transcript.pyannote[758].speaker SPEAKER_28
transcript.pyannote[758].start 7153.42784375
transcript.pyannote[758].end 7175.36534375
transcript.pyannote[759].speaker SPEAKER_28
transcript.pyannote[759].start 7176.81659375
transcript.pyannote[759].end 7176.96846875
transcript.pyannote[760].speaker SPEAKER_28
transcript.pyannote[760].start 7177.57596875
transcript.pyannote[760].end 7222.42971875
transcript.pyannote[761].speaker SPEAKER_32
transcript.pyannote[761].start 7178.18346875
transcript.pyannote[761].end 7178.28471875
transcript.pyannote[762].speaker SPEAKER_28
transcript.pyannote[762].start 7222.71659375
transcript.pyannote[762].end 7228.03221875
transcript.pyannote[763].speaker SPEAKER_37
transcript.pyannote[763].start 7228.72409375
transcript.pyannote[763].end 7240.85721875
transcript.pyannote[764].speaker SPEAKER_37
transcript.pyannote[764].start 7241.31284375
transcript.pyannote[764].end 7269.67971875
transcript.pyannote[765].speaker SPEAKER_37
transcript.pyannote[765].start 7270.13534375
transcript.pyannote[765].end 7272.21096875
transcript.pyannote[766].speaker SPEAKER_37
transcript.pyannote[766].start 7272.63284375
transcript.pyannote[766].end 7274.86034375
transcript.pyannote[767].speaker SPEAKER_37
transcript.pyannote[767].start 7275.21471875
transcript.pyannote[767].end 7276.15971875
transcript.pyannote[768].speaker SPEAKER_37
transcript.pyannote[768].start 7276.31159375
transcript.pyannote[768].end 7295.31284375
transcript.pyannote[769].speaker SPEAKER_37
transcript.pyannote[769].start 7295.73471875
transcript.pyannote[769].end 7318.83659375
transcript.pyannote[770].speaker SPEAKER_28
transcript.pyannote[770].start 7319.68034375
transcript.pyannote[770].end 7348.06409375
transcript.pyannote[771].speaker SPEAKER_37
transcript.pyannote[771].start 7348.33409375
transcript.pyannote[771].end 7361.02409375
transcript.pyannote[772].speaker SPEAKER_28
transcript.pyannote[772].start 7360.11284375
transcript.pyannote[772].end 7361.47971875
transcript.pyannote[773].speaker SPEAKER_37
transcript.pyannote[773].start 7361.47971875
transcript.pyannote[773].end 7380.26159375
transcript.pyannote[774].speaker SPEAKER_28
transcript.pyannote[774].start 7361.56409375
transcript.pyannote[774].end 7361.63159375
transcript.pyannote[775].speaker SPEAKER_28
transcript.pyannote[775].start 7361.71596875
transcript.pyannote[775].end 7361.85096875
transcript.pyannote[776].speaker SPEAKER_37
transcript.pyannote[776].start 7380.32909375
transcript.pyannote[776].end 7384.54784375
transcript.pyannote[777].speaker SPEAKER_28
transcript.pyannote[777].start 7381.94909375
transcript.pyannote[777].end 7382.28659375
transcript.pyannote[778].speaker SPEAKER_02
transcript.pyannote[778].start 7382.28659375
transcript.pyannote[778].end 7382.30346875
transcript.pyannote[779].speaker SPEAKER_28
transcript.pyannote[779].start 7384.54784375
transcript.pyannote[779].end 7385.99909375
transcript.pyannote[780].speaker SPEAKER_02
transcript.pyannote[780].start 7385.99909375
transcript.pyannote[780].end 7386.08346875
transcript.pyannote[781].speaker SPEAKER_37
transcript.pyannote[781].start 7386.08346875
transcript.pyannote[781].end 7386.75846875
transcript.pyannote[782].speaker SPEAKER_02
transcript.pyannote[782].start 7386.75846875
transcript.pyannote[782].end 7387.46721875
transcript.pyannote[783].speaker SPEAKER_02
transcript.pyannote[783].start 7387.90596875
transcript.pyannote[783].end 7393.87971875
transcript.pyannote[784].speaker SPEAKER_16
transcript.pyannote[784].start 7400.51159375
transcript.pyannote[784].end 7402.14846875
transcript.pyannote[785].speaker SPEAKER_27
transcript.pyannote[785].start 7409.84346875
transcript.pyannote[785].end 7410.50159375
transcript.pyannote[786].speaker SPEAKER_16
transcript.pyannote[786].start 7410.67034375
transcript.pyannote[786].end 7522.99034375
transcript.pyannote[787].speaker SPEAKER_16
transcript.pyannote[787].start 7523.34471875
transcript.pyannote[787].end 7536.05159375
transcript.pyannote[788].speaker SPEAKER_16
transcript.pyannote[788].start 7536.25409375
transcript.pyannote[788].end 7541.11409375
transcript.pyannote[789].speaker SPEAKER_16
transcript.pyannote[789].start 7541.55284375
transcript.pyannote[789].end 7572.19784375
transcript.pyannote[790].speaker SPEAKER_16
transcript.pyannote[790].start 7573.02471875
transcript.pyannote[790].end 7595.83971875
transcript.pyannote[791].speaker SPEAKER_16
transcript.pyannote[791].start 7596.64971875
transcript.pyannote[791].end 7623.04221875
transcript.pyannote[792].speaker SPEAKER_00
transcript.pyannote[792].start 7613.05221875
transcript.pyannote[792].end 7613.40659375
transcript.pyannote[793].speaker SPEAKER_28
transcript.pyannote[793].start 7625.48909375
transcript.pyannote[793].end 7638.07784375
transcript.pyannote[794].speaker SPEAKER_32
transcript.pyannote[794].start 7633.84221875
transcript.pyannote[794].end 7636.06971875
transcript.pyannote[795].speaker SPEAKER_32
transcript.pyannote[795].start 7637.57159375
transcript.pyannote[795].end 7637.90909375
transcript.pyannote[796].speaker SPEAKER_28
transcript.pyannote[796].start 7638.93846875
transcript.pyannote[796].end 7651.37534375
transcript.pyannote[797].speaker SPEAKER_28
transcript.pyannote[797].start 7652.40471875
transcript.pyannote[797].end 7653.28221875
transcript.pyannote[798].speaker SPEAKER_28
transcript.pyannote[798].start 7653.61971875
transcript.pyannote[798].end 7661.07846875
transcript.pyannote[799].speaker SPEAKER_28
transcript.pyannote[799].start 7661.77034375
transcript.pyannote[799].end 7662.24284375
transcript.pyannote[800].speaker SPEAKER_28
transcript.pyannote[800].start 7662.36096875
transcript.pyannote[800].end 7670.57909375
transcript.pyannote[801].speaker SPEAKER_16
transcript.pyannote[801].start 7667.69346875
transcript.pyannote[801].end 7669.70159375
transcript.pyannote[802].speaker SPEAKER_16
transcript.pyannote[802].start 7670.51159375
transcript.pyannote[802].end 7673.21159375
transcript.pyannote[803].speaker SPEAKER_16
transcript.pyannote[803].start 7675.13534375
transcript.pyannote[803].end 7687.38659375
transcript.pyannote[804].speaker SPEAKER_28
transcript.pyannote[804].start 7687.01534375
transcript.pyannote[804].end 7687.48784375
transcript.pyannote[805].speaker SPEAKER_28
transcript.pyannote[805].start 7687.69034375
transcript.pyannote[805].end 7690.20471875
transcript.pyannote[806].speaker SPEAKER_35
transcript.pyannote[806].start 7693.56284375
transcript.pyannote[806].end 7701.29159375
transcript.pyannote[807].speaker SPEAKER_35
transcript.pyannote[807].start 7701.56159375
transcript.pyannote[807].end 7703.77221875
transcript.pyannote[808].speaker SPEAKER_35
transcript.pyannote[808].start 7704.05909375
transcript.pyannote[808].end 7708.36221875
transcript.pyannote[809].speaker SPEAKER_35
transcript.pyannote[809].start 7708.54784375
transcript.pyannote[809].end 7710.06659375
transcript.pyannote[810].speaker SPEAKER_35
transcript.pyannote[810].start 7711.06221875
transcript.pyannote[810].end 7716.81659375
transcript.pyannote[811].speaker SPEAKER_35
transcript.pyannote[811].start 7717.05284375
transcript.pyannote[811].end 7723.17846875
transcript.pyannote[812].speaker SPEAKER_32
transcript.pyannote[812].start 7720.93409375
transcript.pyannote[812].end 7721.15346875
transcript.pyannote[813].speaker SPEAKER_35
transcript.pyannote[813].start 7723.56659375
transcript.pyannote[813].end 7725.28784375
transcript.pyannote[814].speaker SPEAKER_35
transcript.pyannote[814].start 7725.84471875
transcript.pyannote[814].end 7731.51471875
transcript.pyannote[815].speaker SPEAKER_35
transcript.pyannote[815].start 7731.90284375
transcript.pyannote[815].end 7736.47596875
transcript.pyannote[816].speaker SPEAKER_35
transcript.pyannote[816].start 7737.74159375
transcript.pyannote[816].end 7740.69471875
transcript.pyannote[817].speaker SPEAKER_28
transcript.pyannote[817].start 7742.21346875
transcript.pyannote[817].end 7750.27971875
transcript.pyannote[818].speaker SPEAKER_28
transcript.pyannote[818].start 7750.56659375
transcript.pyannote[818].end 7760.79284375
transcript.pyannote[819].speaker SPEAKER_16
transcript.pyannote[819].start 7760.65784375
transcript.pyannote[819].end 7760.67471875
transcript.pyannote[820].speaker SPEAKER_32
transcript.pyannote[820].start 7760.67471875
transcript.pyannote[820].end 7760.70846875
transcript.pyannote[821].speaker SPEAKER_32
transcript.pyannote[821].start 7760.79284375
transcript.pyannote[821].end 7760.94471875
transcript.pyannote[822].speaker SPEAKER_28
transcript.pyannote[822].start 7760.84346875
transcript.pyannote[822].end 7765.72034375
transcript.pyannote[823].speaker SPEAKER_16
transcript.pyannote[823].start 7760.94471875
transcript.pyannote[823].end 7761.07971875
transcript.pyannote[824].speaker SPEAKER_16
transcript.pyannote[824].start 7765.46721875
transcript.pyannote[824].end 7780.09784375
transcript.pyannote[825].speaker SPEAKER_16
transcript.pyannote[825].start 7780.99221875
transcript.pyannote[825].end 7781.65034375
transcript.pyannote[826].speaker SPEAKER_02
transcript.pyannote[826].start 7781.88659375
transcript.pyannote[826].end 7784.09721875
transcript.pyannote[827].speaker SPEAKER_02
transcript.pyannote[827].start 7784.67096875
transcript.pyannote[827].end 7785.97034375
transcript.pyannote[828].speaker SPEAKER_02
transcript.pyannote[828].start 7786.24034375
transcript.pyannote[828].end 7789.04159375
transcript.pyannote[829].speaker SPEAKER_30
transcript.pyannote[829].start 7798.72784375
transcript.pyannote[829].end 7801.74846875
transcript.pyannote[830].speaker SPEAKER_30
transcript.pyannote[830].start 7809.17346875
transcript.pyannote[830].end 7810.97909375
transcript.pyannote[831].speaker SPEAKER_30
transcript.pyannote[831].start 7811.19846875
transcript.pyannote[831].end 7815.80534375
transcript.pyannote[832].speaker SPEAKER_32
transcript.pyannote[832].start 7811.23221875
transcript.pyannote[832].end 7811.90721875
transcript.pyannote[833].speaker SPEAKER_30
transcript.pyannote[833].start 7816.22721875
transcript.pyannote[833].end 7816.61534375
transcript.pyannote[834].speaker SPEAKER_30
transcript.pyannote[834].start 7817.49284375
transcript.pyannote[834].end 7820.73284375
transcript.pyannote[835].speaker SPEAKER_30
transcript.pyannote[835].start 7822.11659375
transcript.pyannote[835].end 7838.28284375
transcript.pyannote[836].speaker SPEAKER_30
transcript.pyannote[836].start 7839.04221875
transcript.pyannote[836].end 7848.55971875
transcript.pyannote[837].speaker SPEAKER_30
transcript.pyannote[837].start 7849.80846875
transcript.pyannote[837].end 7856.60909375
transcript.pyannote[838].speaker SPEAKER_30
transcript.pyannote[838].start 7857.26721875
transcript.pyannote[838].end 7867.79721875
transcript.pyannote[839].speaker SPEAKER_30
transcript.pyannote[839].start 7868.21909375
transcript.pyannote[839].end 7874.24346875
transcript.pyannote[840].speaker SPEAKER_30
transcript.pyannote[840].start 7875.40784375
transcript.pyannote[840].end 7875.96471875
transcript.pyannote[841].speaker SPEAKER_28
transcript.pyannote[841].start 7875.96471875
transcript.pyannote[841].end 7876.63971875
transcript.pyannote[842].speaker SPEAKER_28
transcript.pyannote[842].start 7876.90971875
transcript.pyannote[842].end 7887.18659375
transcript.pyannote[843].speaker SPEAKER_28
transcript.pyannote[843].start 7887.84471875
transcript.pyannote[843].end 7908.56721875
transcript.pyannote[844].speaker SPEAKER_30
transcript.pyannote[844].start 7907.95971875
transcript.pyannote[844].end 7910.38971875
transcript.pyannote[845].speaker SPEAKER_28
transcript.pyannote[845].start 7910.38971875
transcript.pyannote[845].end 7924.05846875
transcript.pyannote[846].speaker SPEAKER_28
transcript.pyannote[846].start 7924.49721875
transcript.pyannote[846].end 7931.66909375
transcript.pyannote[847].speaker SPEAKER_30
transcript.pyannote[847].start 7931.80409375
transcript.pyannote[847].end 7937.00159375
transcript.pyannote[848].speaker SPEAKER_30
transcript.pyannote[848].start 7937.32221875
transcript.pyannote[848].end 7941.96284375
transcript.pyannote[849].speaker SPEAKER_28
transcript.pyannote[849].start 7941.32159375
transcript.pyannote[849].end 7941.86159375
transcript.pyannote[850].speaker SPEAKER_28
transcript.pyannote[850].start 7941.96284375
transcript.pyannote[850].end 7943.09346875
transcript.pyannote[851].speaker SPEAKER_30
transcript.pyannote[851].start 7942.70534375
transcript.pyannote[851].end 7943.97096875
transcript.pyannote[852].speaker SPEAKER_28
transcript.pyannote[852].start 7943.97096875
transcript.pyannote[852].end 7944.20721875
transcript.pyannote[853].speaker SPEAKER_30
transcript.pyannote[853].start 7944.20721875
transcript.pyannote[853].end 7947.56534375
transcript.pyannote[854].speaker SPEAKER_30
transcript.pyannote[854].start 7948.08846875
transcript.pyannote[854].end 7950.33284375
transcript.pyannote[855].speaker SPEAKER_30
transcript.pyannote[855].start 7951.12596875
transcript.pyannote[855].end 7952.50971875
transcript.pyannote[856].speaker SPEAKER_30
transcript.pyannote[856].start 7952.59409375
transcript.pyannote[856].end 7964.03534375
transcript.pyannote[857].speaker SPEAKER_30
transcript.pyannote[857].start 7966.16159375
transcript.pyannote[857].end 7966.54971875
transcript.pyannote[858].speaker SPEAKER_30
transcript.pyannote[858].start 7967.30909375
transcript.pyannote[858].end 7971.96659375
transcript.pyannote[859].speaker SPEAKER_28
transcript.pyannote[859].start 7971.96659375
transcript.pyannote[859].end 7978.61534375
transcript.pyannote[860].speaker SPEAKER_30
transcript.pyannote[860].start 7977.78846875
transcript.pyannote[860].end 7997.95409375
transcript.pyannote[861].speaker SPEAKER_30
transcript.pyannote[861].start 7999.59096875
transcript.pyannote[861].end 8001.56534375
transcript.pyannote[862].speaker SPEAKER_30
transcript.pyannote[862].start 8001.59909375
transcript.pyannote[862].end 8003.47221875
transcript.pyannote[863].speaker SPEAKER_30
transcript.pyannote[863].start 8003.82659375
transcript.pyannote[863].end 8011.60596875
transcript.pyannote[864].speaker SPEAKER_30
transcript.pyannote[864].start 8011.79159375
transcript.pyannote[864].end 8016.97221875
transcript.pyannote[865].speaker SPEAKER_26
transcript.pyannote[865].start 8016.97221875
transcript.pyannote[865].end 8017.15784375
transcript.pyannote[866].speaker SPEAKER_26
transcript.pyannote[866].start 8017.88346875
transcript.pyannote[866].end 8027.51909375
transcript.pyannote[867].speaker SPEAKER_30
transcript.pyannote[867].start 8027.24909375
transcript.pyannote[867].end 8027.46846875
transcript.pyannote[868].speaker SPEAKER_26
transcript.pyannote[868].start 8028.93659375
transcript.pyannote[868].end 8029.24034375
transcript.pyannote[869].speaker SPEAKER_30
transcript.pyannote[869].start 8029.24034375
transcript.pyannote[869].end 8030.92784375
transcript.pyannote[870].speaker SPEAKER_30
transcript.pyannote[870].start 8031.56909375
transcript.pyannote[870].end 8033.83034375
transcript.pyannote[871].speaker SPEAKER_26
transcript.pyannote[871].start 8034.47159375
transcript.pyannote[871].end 8034.50534375
transcript.pyannote[872].speaker SPEAKER_30
transcript.pyannote[872].start 8034.50534375
transcript.pyannote[872].end 8036.46284375
transcript.pyannote[873].speaker SPEAKER_32
transcript.pyannote[873].start 8036.46284375
transcript.pyannote[873].end 8036.59784375
transcript.pyannote[874].speaker SPEAKER_30
transcript.pyannote[874].start 8036.78346875
transcript.pyannote[874].end 8041.96409375
transcript.pyannote[875].speaker SPEAKER_30
transcript.pyannote[875].start 8042.72346875
transcript.pyannote[875].end 8046.28409375
transcript.pyannote[876].speaker SPEAKER_30
transcript.pyannote[876].start 8046.67221875
transcript.pyannote[876].end 8047.11096875
transcript.pyannote[877].speaker SPEAKER_30
transcript.pyannote[877].start 8047.43159375
transcript.pyannote[877].end 8049.52409375
transcript.pyannote[878].speaker SPEAKER_30
transcript.pyannote[878].start 8049.89534375
transcript.pyannote[878].end 8068.62659375
transcript.pyannote[879].speaker SPEAKER_30
transcript.pyannote[879].start 8068.94721875
transcript.pyannote[879].end 8076.96284375
transcript.pyannote[880].speaker SPEAKER_26
transcript.pyannote[880].start 8076.96284375
transcript.pyannote[880].end 8077.78971875
transcript.pyannote[881].speaker SPEAKER_26
transcript.pyannote[881].start 8078.31284375
transcript.pyannote[881].end 8109.37971875
transcript.pyannote[882].speaker SPEAKER_30
transcript.pyannote[882].start 8109.37971875
transcript.pyannote[882].end 8109.39659375
transcript.pyannote[883].speaker SPEAKER_30
transcript.pyannote[883].start 8109.46409375
transcript.pyannote[883].end 8119.13346875
transcript.pyannote[884].speaker SPEAKER_26
transcript.pyannote[884].start 8118.00284375
transcript.pyannote[884].end 8123.67284375
transcript.pyannote[885].speaker SPEAKER_30
transcript.pyannote[885].start 8123.89221875
transcript.pyannote[885].end 8124.17909375
transcript.pyannote[886].speaker SPEAKER_30
transcript.pyannote[886].start 8124.36471875
transcript.pyannote[886].end 8133.46034375
transcript.pyannote[887].speaker SPEAKER_26
transcript.pyannote[887].start 8124.41534375
transcript.pyannote[887].end 8124.82034375
transcript.pyannote[888].speaker SPEAKER_26
transcript.pyannote[888].start 8126.50784375
transcript.pyannote[888].end 8126.96346875
transcript.pyannote[889].speaker SPEAKER_26
transcript.pyannote[889].start 8127.13221875
transcript.pyannote[889].end 8127.68909375
transcript.pyannote[890].speaker SPEAKER_30
transcript.pyannote[890].start 8134.06784375
transcript.pyannote[890].end 8137.91534375
transcript.pyannote[891].speaker SPEAKER_32
transcript.pyannote[891].start 8137.91534375
transcript.pyannote[891].end 8138.43846875
transcript.pyannote[892].speaker SPEAKER_30
transcript.pyannote[892].start 8138.38784375
transcript.pyannote[892].end 8141.27346875
transcript.pyannote[893].speaker SPEAKER_30
transcript.pyannote[893].start 8141.49284375
transcript.pyannote[893].end 8143.19721875
transcript.pyannote[894].speaker SPEAKER_30
transcript.pyannote[894].start 8143.93971875
transcript.pyannote[894].end 8146.21784375
transcript.pyannote[895].speaker SPEAKER_26
transcript.pyannote[895].start 8146.82534375
transcript.pyannote[895].end 8148.78284375
transcript.pyannote[896].speaker SPEAKER_26
transcript.pyannote[896].start 8149.44096875
transcript.pyannote[896].end 8176.27221875
transcript.pyannote[897].speaker SPEAKER_30
transcript.pyannote[897].start 8176.47471875
transcript.pyannote[897].end 8195.93159375
transcript.pyannote[898].speaker SPEAKER_26
transcript.pyannote[898].start 8176.52534375
transcript.pyannote[898].end 8177.16659375
transcript.pyannote[899].speaker SPEAKER_26
transcript.pyannote[899].start 8178.90471875
transcript.pyannote[899].end 8179.69784375
transcript.pyannote[900].speaker SPEAKER_26
transcript.pyannote[900].start 8181.21659375
transcript.pyannote[900].end 8181.53721875
transcript.pyannote[901].speaker SPEAKER_26
transcript.pyannote[901].start 8194.95284375
transcript.pyannote[901].end 8195.83034375
transcript.pyannote[902].speaker SPEAKER_26
transcript.pyannote[902].start 8195.93159375
transcript.pyannote[902].end 8195.94846875
transcript.pyannote[903].speaker SPEAKER_26
transcript.pyannote[903].start 8195.98221875
transcript.pyannote[903].end 8196.03284375
transcript.pyannote[904].speaker SPEAKER_26
transcript.pyannote[904].start 8196.06659375
transcript.pyannote[904].end 8201.70284375
transcript.pyannote[905].speaker SPEAKER_26
transcript.pyannote[905].start 8201.77034375
transcript.pyannote[905].end 8201.78721875
transcript.pyannote[906].speaker SPEAKER_30
transcript.pyannote[906].start 8201.78721875
transcript.pyannote[906].end 8203.91346875
transcript.pyannote[907].speaker SPEAKER_30
transcript.pyannote[907].start 8204.14971875
transcript.pyannote[907].end 8204.62221875
transcript.pyannote[908].speaker SPEAKER_16
transcript.pyannote[908].start 8205.39846875
transcript.pyannote[908].end 8208.89159375
transcript.pyannote[909].speaker SPEAKER_02
transcript.pyannote[909].start 8218.99971875
transcript.pyannote[909].end 8221.26096875
transcript.pyannote[910].speaker SPEAKER_02
transcript.pyannote[910].start 8222.84721875
transcript.pyannote[910].end 8242.33784375
transcript.pyannote[911].speaker SPEAKER_02
transcript.pyannote[911].start 8242.70909375
transcript.pyannote[911].end 8243.73846875
transcript.pyannote[912].speaker SPEAKER_02
transcript.pyannote[912].start 8244.41346875
transcript.pyannote[912].end 8250.50534375
transcript.pyannote[913].speaker SPEAKER_28
transcript.pyannote[913].start 8250.62346875
transcript.pyannote[913].end 8253.47534375
transcript.pyannote[914].speaker SPEAKER_02
transcript.pyannote[914].start 8253.96471875
transcript.pyannote[914].end 8259.49971875
transcript.pyannote[915].speaker SPEAKER_02
transcript.pyannote[915].start 8259.87096875
transcript.pyannote[915].end 8264.61284375
transcript.pyannote[916].speaker SPEAKER_28
transcript.pyannote[916].start 8265.97971875
transcript.pyannote[916].end 8271.21096875
transcript.pyannote[917].speaker SPEAKER_02
transcript.pyannote[917].start 8267.98784375
transcript.pyannote[917].end 8268.03846875
transcript.pyannote[918].speaker SPEAKER_02
transcript.pyannote[918].start 8271.21096875
transcript.pyannote[918].end 8286.76971875
transcript.pyannote[919].speaker SPEAKER_02
transcript.pyannote[919].start 8287.24221875
transcript.pyannote[919].end 8297.41784375
transcript.pyannote[920].speaker SPEAKER_02
transcript.pyannote[920].start 8297.50221875
transcript.pyannote[920].end 8299.07159375
transcript.pyannote[921].speaker SPEAKER_02
transcript.pyannote[921].start 8299.56096875
transcript.pyannote[921].end 8309.34846875
transcript.pyannote[922].speaker SPEAKER_02
transcript.pyannote[922].start 8309.56784375
transcript.pyannote[922].end 8310.10784375
transcript.pyannote[923].speaker SPEAKER_02
transcript.pyannote[923].start 8310.88409375
transcript.pyannote[923].end 8314.96784375
transcript.pyannote[924].speaker SPEAKER_02
transcript.pyannote[924].start 8315.05221875
transcript.pyannote[924].end 8316.85784375
transcript.pyannote[925].speaker SPEAKER_02
transcript.pyannote[925].start 8317.34721875
transcript.pyannote[925].end 8323.92846875
transcript.pyannote[926].speaker SPEAKER_02
transcript.pyannote[926].start 8323.96221875
transcript.pyannote[926].end 8330.30721875
transcript.pyannote[927].speaker SPEAKER_02
transcript.pyannote[927].start 8330.50971875
transcript.pyannote[927].end 8345.20784375
transcript.pyannote[928].speaker SPEAKER_28
transcript.pyannote[928].start 8345.71409375
transcript.pyannote[928].end 8356.42971875
transcript.pyannote[929].speaker SPEAKER_28
transcript.pyannote[929].start 8356.78409375
transcript.pyannote[929].end 8364.59721875
transcript.pyannote[930].speaker SPEAKER_28
transcript.pyannote[930].start 8364.86721875
transcript.pyannote[930].end 8375.95409375
transcript.pyannote[931].speaker SPEAKER_02
transcript.pyannote[931].start 8374.84034375
transcript.pyannote[931].end 8379.02534375
transcript.pyannote[932].speaker SPEAKER_28
transcript.pyannote[932].start 8377.50659375
transcript.pyannote[932].end 8378.35034375
transcript.pyannote[933].speaker SPEAKER_28
transcript.pyannote[933].start 8379.07596875
transcript.pyannote[933].end 8380.29096875
transcript.pyannote[934].speaker SPEAKER_28
transcript.pyannote[934].start 8380.47659375
transcript.pyannote[934].end 8392.40721875
transcript.pyannote[935].speaker SPEAKER_28
transcript.pyannote[935].start 8392.59284375
transcript.pyannote[935].end 8397.68909375
transcript.pyannote[936].speaker SPEAKER_28
transcript.pyannote[936].start 8398.06034375
transcript.pyannote[936].end 8400.20346875
transcript.pyannote[937].speaker SPEAKER_28
transcript.pyannote[937].start 8400.47346875
transcript.pyannote[937].end 8416.35284375
transcript.pyannote[938].speaker SPEAKER_26
transcript.pyannote[938].start 8416.35284375
transcript.pyannote[938].end 8417.16284375
transcript.pyannote[939].speaker SPEAKER_26
transcript.pyannote[939].start 8418.05721875
transcript.pyannote[939].end 8431.64159375
transcript.pyannote[940].speaker SPEAKER_02
transcript.pyannote[940].start 8431.64159375
transcript.pyannote[940].end 8431.67534375
transcript.pyannote[941].speaker SPEAKER_26
transcript.pyannote[941].start 8431.67534375
transcript.pyannote[941].end 8434.72971875
transcript.pyannote[942].speaker SPEAKER_02
transcript.pyannote[942].start 8431.74284375
transcript.pyannote[942].end 8438.22284375
transcript.pyannote[943].speaker SPEAKER_26
transcript.pyannote[943].start 8434.79721875
transcript.pyannote[943].end 8436.07971875
transcript.pyannote[944].speaker SPEAKER_02
transcript.pyannote[944].start 8438.96534375
transcript.pyannote[944].end 8439.37034375
transcript.pyannote[945].speaker SPEAKER_02
transcript.pyannote[945].start 8441.53034375
transcript.pyannote[945].end 8441.90159375
transcript.pyannote[946].speaker SPEAKER_02
transcript.pyannote[946].start 8445.27659375
transcript.pyannote[946].end 8445.42846875
transcript.pyannote[947].speaker SPEAKER_04
transcript.pyannote[947].start 8445.42846875
transcript.pyannote[947].end 8445.44534375
transcript.pyannote[948].speaker SPEAKER_02
transcript.pyannote[948].start 8445.44534375
transcript.pyannote[948].end 8445.54659375
transcript.pyannote[949].speaker SPEAKER_02
transcript.pyannote[949].start 8445.79971875
transcript.pyannote[949].end 8451.41909375
transcript.pyannote[950].speaker SPEAKER_02
transcript.pyannote[950].start 8452.04346875
transcript.pyannote[950].end 8454.22034375
transcript.pyannote[951].speaker SPEAKER_02
transcript.pyannote[951].start 8454.84471875
transcript.pyannote[951].end 8460.10971875
transcript.pyannote[952].speaker SPEAKER_02
transcript.pyannote[952].start 8460.64971875
transcript.pyannote[952].end 8473.71096875
transcript.pyannote[953].speaker SPEAKER_12
transcript.pyannote[953].start 8474.13284375
transcript.pyannote[953].end 8474.47034375
transcript.pyannote[954].speaker SPEAKER_02
transcript.pyannote[954].start 8475.21284375
transcript.pyannote[954].end 8479.90409375
transcript.pyannote[955].speaker SPEAKER_12
transcript.pyannote[955].start 8480.61284375
transcript.pyannote[955].end 8483.98784375
transcript.pyannote[956].speaker SPEAKER_12
transcript.pyannote[956].start 8484.19034375
transcript.pyannote[956].end 8487.73409375
transcript.pyannote[957].speaker SPEAKER_12
transcript.pyannote[957].start 8488.08846875
transcript.pyannote[957].end 8488.79721875
transcript.pyannote[958].speaker SPEAKER_02
transcript.pyannote[958].start 8489.38784375
transcript.pyannote[958].end 8508.74346875
transcript.pyannote[959].speaker SPEAKER_02
transcript.pyannote[959].start 8509.03034375
transcript.pyannote[959].end 8510.61659375
transcript.pyannote[960].speaker SPEAKER_02
transcript.pyannote[960].start 8511.13971875
transcript.pyannote[960].end 8538.17346875
transcript.pyannote[961].speaker SPEAKER_02
transcript.pyannote[961].start 8538.79784375
transcript.pyannote[961].end 8544.09659375
transcript.pyannote[962].speaker SPEAKER_02
transcript.pyannote[962].start 8544.28221875
transcript.pyannote[962].end 8571.85596875
transcript.pyannote[963].speaker SPEAKER_02
transcript.pyannote[963].start 8572.14284375
transcript.pyannote[963].end 8572.58159375
transcript.pyannote[964].speaker SPEAKER_16
transcript.pyannote[964].start 8574.96096875
transcript.pyannote[964].end 8576.42909375
transcript.pyannote[965].speaker SPEAKER_16
transcript.pyannote[965].start 8576.90159375
transcript.pyannote[965].end 8579.71971875
transcript.pyannote[966].speaker SPEAKER_24
transcript.pyannote[966].start 8594.26596875
transcript.pyannote[966].end 8597.11784375
transcript.pyannote[967].speaker SPEAKER_16
transcript.pyannote[967].start 8597.96159375
transcript.pyannote[967].end 8598.82221875
transcript.pyannote[968].speaker SPEAKER_27
transcript.pyannote[968].start 8605.57221875
transcript.pyannote[968].end 8606.24721875
transcript.pyannote[969].speaker SPEAKER_24
transcript.pyannote[969].start 8606.24721875
transcript.pyannote[969].end 8606.26409375
transcript.pyannote[970].speaker SPEAKER_27
transcript.pyannote[970].start 8606.26409375
transcript.pyannote[970].end 8606.28096875
transcript.pyannote[971].speaker SPEAKER_24
transcript.pyannote[971].start 8606.28096875
transcript.pyannote[971].end 8607.04034375
transcript.pyannote[972].speaker SPEAKER_24
transcript.pyannote[972].start 8607.34409375
transcript.pyannote[972].end 8615.66346875
transcript.pyannote[973].speaker SPEAKER_24
transcript.pyannote[973].start 8615.84909375
transcript.pyannote[973].end 8617.41846875
transcript.pyannote[974].speaker SPEAKER_24
transcript.pyannote[974].start 8617.67159375
transcript.pyannote[974].end 8624.11784375
transcript.pyannote[975].speaker SPEAKER_24
transcript.pyannote[975].start 8624.26971875
transcript.pyannote[975].end 8628.89346875
transcript.pyannote[976].speaker SPEAKER_28
transcript.pyannote[976].start 8629.29846875
transcript.pyannote[976].end 8632.09971875
transcript.pyannote[977].speaker SPEAKER_28
transcript.pyannote[977].start 8634.07409375
transcript.pyannote[977].end 8636.33534375
transcript.pyannote[978].speaker SPEAKER_28
transcript.pyannote[978].start 8636.63909375
transcript.pyannote[978].end 8643.91221875
transcript.pyannote[979].speaker SPEAKER_28
transcript.pyannote[979].start 8643.96284375
transcript.pyannote[979].end 8644.03034375
transcript.pyannote[980].speaker SPEAKER_28
transcript.pyannote[980].start 8644.21596875
transcript.pyannote[980].end 8649.97034375
transcript.pyannote[981].speaker SPEAKER_24
transcript.pyannote[981].start 8650.12221875
transcript.pyannote[981].end 8651.96159375
transcript.pyannote[982].speaker SPEAKER_28
transcript.pyannote[982].start 8651.75909375
transcript.pyannote[982].end 8652.18096875
transcript.pyannote[983].speaker SPEAKER_24
transcript.pyannote[983].start 8652.18096875
transcript.pyannote[983].end 8652.19784375
transcript.pyannote[984].speaker SPEAKER_24
transcript.pyannote[984].start 8652.36659375
transcript.pyannote[984].end 8668.39784375
transcript.pyannote[985].speaker SPEAKER_24
transcript.pyannote[985].start 8668.49909375
transcript.pyannote[985].end 8675.02971875
transcript.pyannote[986].speaker SPEAKER_24
transcript.pyannote[986].start 8675.16471875
transcript.pyannote[986].end 8682.96096875
transcript.pyannote[987].speaker SPEAKER_28
transcript.pyannote[987].start 8683.39971875
transcript.pyannote[987].end 8693.99721875
transcript.pyannote[988].speaker SPEAKER_28
transcript.pyannote[988].start 8694.40221875
transcript.pyannote[988].end 8718.61784375
transcript.pyannote[989].speaker SPEAKER_28
transcript.pyannote[989].start 8719.19159375
transcript.pyannote[989].end 8728.11846875
transcript.pyannote[990].speaker SPEAKER_28
transcript.pyannote[990].start 8728.28721875
transcript.pyannote[990].end 8731.66221875
transcript.pyannote[991].speaker SPEAKER_28
transcript.pyannote[991].start 8731.67909375
transcript.pyannote[991].end 8731.69596875
transcript.pyannote[992].speaker SPEAKER_24
transcript.pyannote[992].start 8731.79721875
transcript.pyannote[992].end 8747.13659375
transcript.pyannote[993].speaker SPEAKER_28
transcript.pyannote[993].start 8732.62409375
transcript.pyannote[993].end 8733.02909375
transcript.pyannote[994].speaker SPEAKER_28
transcript.pyannote[994].start 8735.02034375
transcript.pyannote[994].end 8735.35784375
transcript.pyannote[995].speaker SPEAKER_28
transcript.pyannote[995].start 8736.08346875
transcript.pyannote[995].end 8736.60659375
transcript.pyannote[996].speaker SPEAKER_24
transcript.pyannote[996].start 8747.96346875
transcript.pyannote[996].end 8758.02096875
transcript.pyannote[997].speaker SPEAKER_24
transcript.pyannote[997].start 8758.13909375
transcript.pyannote[997].end 8769.29346875
transcript.pyannote[998].speaker SPEAKER_24
transcript.pyannote[998].start 8769.54659375
transcript.pyannote[998].end 8771.75721875
transcript.pyannote[999].speaker SPEAKER_24
transcript.pyannote[999].start 8771.92596875
transcript.pyannote[999].end 8774.96346875
transcript.pyannote[1000].speaker SPEAKER_24
transcript.pyannote[1000].start 8775.16596875
transcript.pyannote[1000].end 8779.41846875
transcript.pyannote[1001].speaker SPEAKER_24
transcript.pyannote[1001].start 8779.62096875
transcript.pyannote[1001].end 8801.22096875
transcript.pyannote[1002].speaker SPEAKER_24
transcript.pyannote[1002].start 8801.98034375
transcript.pyannote[1002].end 8803.02659375
transcript.pyannote[1003].speaker SPEAKER_24
transcript.pyannote[1003].start 8803.54971875
transcript.pyannote[1003].end 8820.99846875
transcript.pyannote[1004].speaker SPEAKER_24
transcript.pyannote[1004].start 8821.35284375
transcript.pyannote[1004].end 8826.61784375
transcript.pyannote[1005].speaker SPEAKER_24
transcript.pyannote[1005].start 8826.85409375
transcript.pyannote[1005].end 8832.70971875
transcript.pyannote[1006].speaker SPEAKER_24
transcript.pyannote[1006].start 8833.03034375
transcript.pyannote[1006].end 8835.34221875
transcript.pyannote[1007].speaker SPEAKER_24
transcript.pyannote[1007].start 8835.40971875
transcript.pyannote[1007].end 8840.30346875
transcript.pyannote[1008].speaker SPEAKER_28
transcript.pyannote[1008].start 8842.91909375
transcript.pyannote[1008].end 8856.16596875
transcript.pyannote[1009].speaker SPEAKER_24
transcript.pyannote[1009].start 8856.87471875
transcript.pyannote[1009].end 8856.90846875
transcript.pyannote[1010].speaker SPEAKER_24
transcript.pyannote[1010].start 8857.16159375
transcript.pyannote[1010].end 8862.34221875
transcript.pyannote[1011].speaker SPEAKER_32
transcript.pyannote[1011].start 8862.34221875
transcript.pyannote[1011].end 8862.54471875
transcript.pyannote[1012].speaker SPEAKER_24
transcript.pyannote[1012].start 8863.28721875
transcript.pyannote[1012].end 8866.99971875
transcript.pyannote[1013].speaker SPEAKER_28
transcript.pyannote[1013].start 8867.43846875
transcript.pyannote[1013].end 8870.67846875
transcript.pyannote[1014].speaker SPEAKER_24
transcript.pyannote[1014].start 8870.67846875
transcript.pyannote[1014].end 8870.94846875
transcript.pyannote[1015].speaker SPEAKER_28
transcript.pyannote[1015].start 8870.94846875
transcript.pyannote[1015].end 8881.27596875
transcript.pyannote[1016].speaker SPEAKER_28
transcript.pyannote[1016].start 8881.93409375
transcript.pyannote[1016].end 8891.24909375
transcript.pyannote[1017].speaker SPEAKER_24
transcript.pyannote[1017].start 8891.80596875
transcript.pyannote[1017].end 8897.61096875
transcript.pyannote[1018].speaker SPEAKER_28
transcript.pyannote[1018].start 8895.41721875
transcript.pyannote[1018].end 8895.97409375
transcript.pyannote[1019].speaker SPEAKER_24
transcript.pyannote[1019].start 8897.84721875
transcript.pyannote[1019].end 8912.29221875
transcript.pyannote[1020].speaker SPEAKER_24
transcript.pyannote[1020].start 8912.96721875
transcript.pyannote[1020].end 8942.32971875
transcript.pyannote[1021].speaker SPEAKER_24
transcript.pyannote[1021].start 8942.43096875
transcript.pyannote[1021].end 8951.50971875
transcript.pyannote[1022].speaker SPEAKER_24
transcript.pyannote[1022].start 8951.99909375
transcript.pyannote[1022].end 8955.07034375
transcript.pyannote[1023].speaker SPEAKER_24
transcript.pyannote[1023].start 8955.47534375
transcript.pyannote[1023].end 8964.65534375
transcript.pyannote[1024].speaker SPEAKER_28
transcript.pyannote[1024].start 8966.41034375
transcript.pyannote[1024].end 8969.31284375
transcript.pyannote[1025].speaker SPEAKER_28
transcript.pyannote[1025].start 8969.49846875
transcript.pyannote[1025].end 8971.13534375
transcript.pyannote[1026].speaker SPEAKER_28
transcript.pyannote[1026].start 8971.75971875
transcript.pyannote[1026].end 8980.39971875
transcript.pyannote[1027].speaker SPEAKER_24
transcript.pyannote[1027].start 8979.20159375
transcript.pyannote[1027].end 8983.03221875
transcript.pyannote[1028].speaker SPEAKER_28
transcript.pyannote[1028].start 8983.03221875
transcript.pyannote[1028].end 8983.04909375
transcript.pyannote[1029].speaker SPEAKER_28
transcript.pyannote[1029].start 8983.23471875
transcript.pyannote[1029].end 9003.68721875
transcript.pyannote[1030].speaker SPEAKER_24
transcript.pyannote[1030].start 9004.19346875
transcript.pyannote[1030].end 9020.03909375
transcript.pyannote[1031].speaker SPEAKER_28
transcript.pyannote[1031].start 9020.03909375
transcript.pyannote[1031].end 9020.35971875
transcript.pyannote[1032].speaker SPEAKER_24
transcript.pyannote[1032].start 9021.32159375
transcript.pyannote[1032].end 9022.31721875
transcript.pyannote[1033].speaker SPEAKER_16
transcript.pyannote[1033].start 9022.31721875
transcript.pyannote[1033].end 9022.41846875
transcript.pyannote[1034].speaker SPEAKER_24
transcript.pyannote[1034].start 9022.41846875
transcript.pyannote[1034].end 9022.97534375
transcript.pyannote[1035].speaker SPEAKER_16
transcript.pyannote[1035].start 9022.97534375
transcript.pyannote[1035].end 9024.66284375
transcript.pyannote[1036].speaker SPEAKER_27
transcript.pyannote[1036].start 9024.66284375
transcript.pyannote[1036].end 9024.67971875
transcript.pyannote[1037].speaker SPEAKER_05
transcript.pyannote[1037].start 9034.18034375
transcript.pyannote[1037].end 9043.32659375
transcript.pyannote[1038].speaker SPEAKER_16
transcript.pyannote[1038].start 9044.32221875
transcript.pyannote[1038].end 9047.49471875
transcript.pyannote[1039].speaker SPEAKER_05
transcript.pyannote[1039].start 9046.78596875
transcript.pyannote[1039].end 9048.47346875
transcript.pyannote[1040].speaker SPEAKER_32
transcript.pyannote[1040].start 9047.49471875
transcript.pyannote[1040].end 9047.81534375
transcript.pyannote[1041].speaker SPEAKER_16
transcript.pyannote[1041].start 9047.81534375
transcript.pyannote[1041].end 9047.95034375
transcript.pyannote[1042].speaker SPEAKER_05
transcript.pyannote[1042].start 9049.60409375
transcript.pyannote[1042].end 9050.09346875
transcript.pyannote[1043].speaker SPEAKER_05
transcript.pyannote[1043].start 9051.49409375
transcript.pyannote[1043].end 9063.20534375
transcript.pyannote[1044].speaker SPEAKER_05
transcript.pyannote[1044].start 9063.40784375
transcript.pyannote[1044].end 9076.03034375
transcript.pyannote[1045].speaker SPEAKER_05
transcript.pyannote[1045].start 9076.18221875
transcript.pyannote[1045].end 9094.39034375
transcript.pyannote[1046].speaker SPEAKER_05
transcript.pyannote[1046].start 9094.79534375
transcript.pyannote[1046].end 9111.51846875
transcript.pyannote[1047].speaker SPEAKER_05
transcript.pyannote[1047].start 9112.10909375
transcript.pyannote[1047].end 9119.02784375
transcript.pyannote[1048].speaker SPEAKER_05
transcript.pyannote[1048].start 9119.44971875
transcript.pyannote[1048].end 9140.02034375
transcript.pyannote[1049].speaker SPEAKER_05
transcript.pyannote[1049].start 9140.93159375
transcript.pyannote[1049].end 9141.57284375
transcript.pyannote[1050].speaker SPEAKER_04
transcript.pyannote[1050].start 9141.99471875
transcript.pyannote[1050].end 9142.04534375
transcript.pyannote[1051].speaker SPEAKER_04
transcript.pyannote[1051].start 9145.42034375
transcript.pyannote[1051].end 9149.79096875
transcript.pyannote[1052].speaker SPEAKER_04
transcript.pyannote[1052].start 9149.97659375
transcript.pyannote[1052].end 9150.02721875
transcript.pyannote[1053].speaker SPEAKER_04
transcript.pyannote[1053].start 9150.09471875
transcript.pyannote[1053].end 9154.04346875
transcript.pyannote[1054].speaker SPEAKER_04
transcript.pyannote[1054].start 9154.34721875
transcript.pyannote[1054].end 9155.96721875
transcript.pyannote[1055].speaker SPEAKER_05
transcript.pyannote[1055].start 9155.96721875
transcript.pyannote[1055].end 9169.87221875
transcript.pyannote[1056].speaker SPEAKER_06
transcript.pyannote[1056].start 9157.33409375
transcript.pyannote[1056].end 9157.51971875
transcript.pyannote[1057].speaker SPEAKER_28
transcript.pyannote[1057].start 9170.31096875
transcript.pyannote[1057].end 9180.84096875
transcript.pyannote[1058].speaker SPEAKER_05
transcript.pyannote[1058].start 9179.08596875
transcript.pyannote[1058].end 9247.27784375
transcript.pyannote[1059].speaker SPEAKER_28
transcript.pyannote[1059].start 9181.44846875
transcript.pyannote[1059].end 9182.00534375
transcript.pyannote[1060].speaker SPEAKER_05
transcript.pyannote[1060].start 9247.66596875
transcript.pyannote[1060].end 9254.65221875
transcript.pyannote[1061].speaker SPEAKER_05
transcript.pyannote[1061].start 9254.78721875
transcript.pyannote[1061].end 9271.39221875
transcript.pyannote[1062].speaker SPEAKER_05
transcript.pyannote[1062].start 9271.59471875
transcript.pyannote[1062].end 9280.52159375
transcript.pyannote[1063].speaker SPEAKER_05
transcript.pyannote[1063].start 9280.70721875
transcript.pyannote[1063].end 9309.10784375
transcript.pyannote[1064].speaker SPEAKER_05
transcript.pyannote[1064].start 9310.01909375
transcript.pyannote[1064].end 9321.10596875
transcript.pyannote[1065].speaker SPEAKER_05
transcript.pyannote[1065].start 9321.64596875
transcript.pyannote[1065].end 9326.38784375
transcript.pyannote[1066].speaker SPEAKER_05
transcript.pyannote[1066].start 9327.26534375
transcript.pyannote[1066].end 9333.89721875
transcript.pyannote[1067].speaker SPEAKER_05
transcript.pyannote[1067].start 9334.92659375
transcript.pyannote[1067].end 9349.16909375
transcript.pyannote[1068].speaker SPEAKER_05
transcript.pyannote[1068].start 9349.87784375
transcript.pyannote[1068].end 9362.85471875
transcript.pyannote[1069].speaker SPEAKER_05
transcript.pyannote[1069].start 9363.07409375
transcript.pyannote[1069].end 9378.04221875
transcript.pyannote[1070].speaker SPEAKER_05
transcript.pyannote[1070].start 9378.93659375
transcript.pyannote[1070].end 9379.49346875
transcript.pyannote[1071].speaker SPEAKER_05
transcript.pyannote[1071].start 9380.38784375
transcript.pyannote[1071].end 9390.20909375
transcript.pyannote[1072].speaker SPEAKER_05
transcript.pyannote[1072].start 9390.52971875
transcript.pyannote[1072].end 9415.40346875
transcript.pyannote[1073].speaker SPEAKER_05
transcript.pyannote[1073].start 9415.79159375
transcript.pyannote[1073].end 9424.95471875
transcript.pyannote[1074].speaker SPEAKER_05
transcript.pyannote[1074].start 9425.30909375
transcript.pyannote[1074].end 9427.43534375
transcript.pyannote[1075].speaker SPEAKER_28
transcript.pyannote[1075].start 9428.46471875
transcript.pyannote[1075].end 9431.48534375
transcript.pyannote[1076].speaker SPEAKER_05
transcript.pyannote[1076].start 9432.04221875
transcript.pyannote[1076].end 9439.34909375
transcript.pyannote[1077].speaker SPEAKER_28
transcript.pyannote[1077].start 9439.36596875
transcript.pyannote[1077].end 9451.11096875
transcript.pyannote[1078].speaker SPEAKER_05
transcript.pyannote[1078].start 9449.98034375
transcript.pyannote[1078].end 9467.53034375
transcript.pyannote[1079].speaker SPEAKER_28
transcript.pyannote[1079].start 9451.33034375
transcript.pyannote[1079].end 9451.92096875
transcript.pyannote[1080].speaker SPEAKER_28
transcript.pyannote[1080].start 9467.95221875
transcript.pyannote[1080].end 9473.95971875
transcript.pyannote[1081].speaker SPEAKER_05
transcript.pyannote[1081].start 9474.07784375
transcript.pyannote[1081].end 9491.02034375
transcript.pyannote[1082].speaker SPEAKER_28
transcript.pyannote[1082].start 9488.67471875
transcript.pyannote[1082].end 9489.21471875
transcript.pyannote[1083].speaker SPEAKER_28
transcript.pyannote[1083].start 9490.14284375
transcript.pyannote[1083].end 9492.99471875
transcript.pyannote[1084].speaker SPEAKER_05
transcript.pyannote[1084].start 9492.13409375
transcript.pyannote[1084].end 9495.71159375
transcript.pyannote[1085].speaker SPEAKER_05
transcript.pyannote[1085].start 9496.30221875
transcript.pyannote[1085].end 9500.14971875
transcript.pyannote[1086].speaker SPEAKER_28
transcript.pyannote[1086].start 9499.28909375
transcript.pyannote[1086].end 9502.56284375
transcript.pyannote[1087].speaker SPEAKER_05
transcript.pyannote[1087].start 9502.47846875
transcript.pyannote[1087].end 9530.72721875
transcript.pyannote[1088].speaker SPEAKER_05
transcript.pyannote[1088].start 9530.96346875
transcript.pyannote[1088].end 9566.63721875
transcript.pyannote[1089].speaker SPEAKER_05
transcript.pyannote[1089].start 9567.29534375
transcript.pyannote[1089].end 9573.38721875
transcript.pyannote[1090].speaker SPEAKER_05
transcript.pyannote[1090].start 9573.92721875
transcript.pyannote[1090].end 9577.01534375
transcript.pyannote[1091].speaker SPEAKER_05
transcript.pyannote[1091].start 9578.21346875
transcript.pyannote[1091].end 9579.22596875
transcript.pyannote[1092].speaker SPEAKER_32
transcript.pyannote[1092].start 9579.14159375
transcript.pyannote[1092].end 9579.52971875
transcript.pyannote[1093].speaker SPEAKER_05
transcript.pyannote[1093].start 9579.61409375
transcript.pyannote[1093].end 9583.02284375
transcript.pyannote[1094].speaker SPEAKER_05
transcript.pyannote[1094].start 9583.64721875
transcript.pyannote[1094].end 9585.70596875
transcript.pyannote[1095].speaker SPEAKER_05
transcript.pyannote[1095].start 9586.19534375
transcript.pyannote[1095].end 9588.05159375
transcript.pyannote[1096].speaker SPEAKER_05
transcript.pyannote[1096].start 9588.45659375
transcript.pyannote[1096].end 9589.36784375
transcript.pyannote[1097].speaker SPEAKER_28
transcript.pyannote[1097].start 9589.53659375
transcript.pyannote[1097].end 9595.66221875
transcript.pyannote[1098].speaker SPEAKER_05
transcript.pyannote[1098].start 9595.66221875
transcript.pyannote[1098].end 9596.96159375
transcript.pyannote[1099].speaker SPEAKER_28
transcript.pyannote[1099].start 9596.18534375
transcript.pyannote[1099].end 9597.01221875
transcript.pyannote[1100].speaker SPEAKER_05
transcript.pyannote[1100].start 9597.01221875
transcript.pyannote[1100].end 9597.19784375
transcript.pyannote[1101].speaker SPEAKER_10
transcript.pyannote[1101].start 9598.02471875
transcript.pyannote[1101].end 9601.04534375
transcript.pyannote[1102].speaker SPEAKER_10
transcript.pyannote[1102].start 9601.26471875
transcript.pyannote[1102].end 9603.94784375
transcript.pyannote[1103].speaker SPEAKER_07
transcript.pyannote[1103].start 9608.62221875
transcript.pyannote[1103].end 9610.98471875
transcript.pyannote[1104].speaker SPEAKER_07
transcript.pyannote[1104].start 9611.87909375
transcript.pyannote[1104].end 9611.96346875
transcript.pyannote[1105].speaker SPEAKER_10
transcript.pyannote[1105].start 9611.96346875
transcript.pyannote[1105].end 9621.68346875
transcript.pyannote[1106].speaker SPEAKER_07
transcript.pyannote[1106].start 9623.50596875
transcript.pyannote[1106].end 9662.06534375
transcript.pyannote[1107].speaker SPEAKER_10
transcript.pyannote[1107].start 9624.16409375
transcript.pyannote[1107].end 9625.37909375
transcript.pyannote[1108].speaker SPEAKER_10
transcript.pyannote[1108].start 9625.53096875
transcript.pyannote[1108].end 9625.95284375
transcript.pyannote[1109].speaker SPEAKER_07
transcript.pyannote[1109].start 9662.85846875
transcript.pyannote[1109].end 9663.31409375
transcript.pyannote[1110].speaker SPEAKER_07
transcript.pyannote[1110].start 9664.09034375
transcript.pyannote[1110].end 9675.76784375
transcript.pyannote[1111].speaker SPEAKER_07
transcript.pyannote[1111].start 9676.29096875
transcript.pyannote[1111].end 9677.79284375
transcript.pyannote[1112].speaker SPEAKER_07
transcript.pyannote[1112].start 9678.23159375
transcript.pyannote[1112].end 9685.35284375
transcript.pyannote[1113].speaker SPEAKER_07
transcript.pyannote[1113].start 9685.62284375
transcript.pyannote[1113].end 9725.93721875
transcript.pyannote[1114].speaker SPEAKER_07
transcript.pyannote[1114].start 9726.84846875
transcript.pyannote[1114].end 9811.99971875
transcript.pyannote[1115].speaker SPEAKER_07
transcript.pyannote[1115].start 9812.48909375
transcript.pyannote[1115].end 9815.35784375
transcript.pyannote[1116].speaker SPEAKER_07
transcript.pyannote[1116].start 9816.38721875
transcript.pyannote[1116].end 9817.07909375
transcript.pyannote[1117].speaker SPEAKER_07
transcript.pyannote[1117].start 9818.04096875
transcript.pyannote[1117].end 9838.15596875
transcript.pyannote[1118].speaker SPEAKER_07
transcript.pyannote[1118].start 9838.47659375
transcript.pyannote[1118].end 9911.29221875
transcript.pyannote[1119].speaker SPEAKER_07
transcript.pyannote[1119].start 9911.64659375
transcript.pyannote[1119].end 9920.38784375
transcript.pyannote[1120].speaker SPEAKER_07
transcript.pyannote[1120].start 9921.02909375
transcript.pyannote[1120].end 9924.82596875
transcript.pyannote[1121].speaker SPEAKER_26
transcript.pyannote[1121].start 9923.02034375
transcript.pyannote[1121].end 9923.15534375
transcript.pyannote[1122].speaker SPEAKER_26
transcript.pyannote[1122].start 9923.37471875
transcript.pyannote[1122].end 9928.25159375
transcript.pyannote[1123].speaker SPEAKER_07
transcript.pyannote[1123].start 9927.94784375
transcript.pyannote[1123].end 9928.31909375
transcript.pyannote[1124].speaker SPEAKER_26
transcript.pyannote[1124].start 9928.31909375
transcript.pyannote[1124].end 9946.42596875
transcript.pyannote[1125].speaker SPEAKER_32
transcript.pyannote[1125].start 9932.55471875
transcript.pyannote[1125].end 9932.58846875
transcript.pyannote[1126].speaker SPEAKER_07
transcript.pyannote[1126].start 9932.58846875
transcript.pyannote[1126].end 9933.44909375
transcript.pyannote[1127].speaker SPEAKER_07
transcript.pyannote[1127].start 9937.54971875
transcript.pyannote[1127].end 9937.93784375
transcript.pyannote[1128].speaker SPEAKER_26
transcript.pyannote[1128].start 9946.62846875
transcript.pyannote[1128].end 9955.65659375
transcript.pyannote[1129].speaker SPEAKER_00
transcript.pyannote[1129].start 9953.83409375
transcript.pyannote[1129].end 9953.85096875
transcript.pyannote[1130].speaker SPEAKER_10
transcript.pyannote[1130].start 9953.85096875
transcript.pyannote[1130].end 9954.22221875
transcript.pyannote[1131].speaker SPEAKER_26
transcript.pyannote[1131].start 9955.79159375
transcript.pyannote[1131].end 9977.27346875
transcript.pyannote[1132].speaker SPEAKER_32
transcript.pyannote[1132].start 9958.57596875
transcript.pyannote[1132].end 9958.60971875
transcript.pyannote[1133].speaker SPEAKER_10
transcript.pyannote[1133].start 9958.60971875
transcript.pyannote[1133].end 9958.69409375
transcript.pyannote[1134].speaker SPEAKER_32
transcript.pyannote[1134].start 9958.69409375
transcript.pyannote[1134].end 9958.71096875
transcript.pyannote[1135].speaker SPEAKER_10
transcript.pyannote[1135].start 9958.71096875
transcript.pyannote[1135].end 9958.93034375
transcript.pyannote[1136].speaker SPEAKER_32
transcript.pyannote[1136].start 9958.93034375
transcript.pyannote[1136].end 9959.57159375
transcript.pyannote[1137].speaker SPEAKER_10
transcript.pyannote[1137].start 9959.57159375
transcript.pyannote[1137].end 9959.58846875
transcript.pyannote[1138].speaker SPEAKER_32
transcript.pyannote[1138].start 9960.19596875
transcript.pyannote[1138].end 9960.63471875
transcript.pyannote[1139].speaker SPEAKER_10
transcript.pyannote[1139].start 9960.63471875
transcript.pyannote[1139].end 9960.71909375
transcript.pyannote[1140].speaker SPEAKER_32
transcript.pyannote[1140].start 9961.91721875
transcript.pyannote[1140].end 9961.96784375
transcript.pyannote[1141].speaker SPEAKER_01
transcript.pyannote[1141].start 9961.96784375
transcript.pyannote[1141].end 9962.33909375
transcript.pyannote[1142].speaker SPEAKER_01
transcript.pyannote[1142].start 9967.28346875
transcript.pyannote[1142].end 9968.17784375
transcript.pyannote[1143].speaker SPEAKER_07
transcript.pyannote[1143].start 9968.17784375
transcript.pyannote[1143].end 9968.19471875
transcript.pyannote[1144].speaker SPEAKER_39
transcript.pyannote[1144].start 9974.80971875
transcript.pyannote[1144].end 9975.06284375
transcript.pyannote[1145].speaker SPEAKER_26
transcript.pyannote[1145].start 9978.26909375
transcript.pyannote[1145].end 9981.99846875
transcript.pyannote[1146].speaker SPEAKER_26
transcript.pyannote[1146].start 9982.21784375
transcript.pyannote[1146].end 9984.78284375
transcript.pyannote[1147].speaker SPEAKER_07
transcript.pyannote[1147].start 9983.97284375
transcript.pyannote[1147].end 10012.49159375
transcript.pyannote[1148].speaker SPEAKER_26
transcript.pyannote[1148].start 9989.44034375
transcript.pyannote[1148].end 9989.87909375
transcript.pyannote[1149].speaker SPEAKER_26
transcript.pyannote[1149].start 9992.52846875
transcript.pyannote[1149].end 9995.54909375
transcript.pyannote[1150].speaker SPEAKER_26
transcript.pyannote[1150].start 10012.44096875
transcript.pyannote[1150].end 10025.53596875
transcript.pyannote[1151].speaker SPEAKER_07
transcript.pyannote[1151].start 10012.50846875
transcript.pyannote[1151].end 10012.52534375
transcript.pyannote[1152].speaker SPEAKER_07
transcript.pyannote[1152].start 10012.54221875
transcript.pyannote[1152].end 10012.74471875
transcript.pyannote[1153].speaker SPEAKER_07
transcript.pyannote[1153].start 10016.27159375
transcript.pyannote[1153].end 10017.11534375
transcript.pyannote[1154].speaker SPEAKER_07
transcript.pyannote[1154].start 10017.16596875
transcript.pyannote[1154].end 10019.08971875
transcript.pyannote[1155].speaker SPEAKER_07
transcript.pyannote[1155].start 10020.13596875
transcript.pyannote[1155].end 10021.18221875
transcript.pyannote[1156].speaker SPEAKER_07
transcript.pyannote[1156].start 10022.14409375
transcript.pyannote[1156].end 10023.96659375
transcript.pyannote[1157].speaker SPEAKER_07
transcript.pyannote[1157].start 10025.36721875
transcript.pyannote[1157].end 10028.13471875
transcript.pyannote[1158].speaker SPEAKER_26
transcript.pyannote[1158].start 10025.70471875
transcript.pyannote[1158].end 10026.04221875
transcript.pyannote[1159].speaker SPEAKER_26
transcript.pyannote[1159].start 10026.56534375
transcript.pyannote[1159].end 10030.80096875
transcript.pyannote[1160].speaker SPEAKER_07
transcript.pyannote[1160].start 10029.24846875
transcript.pyannote[1160].end 10029.68721875
transcript.pyannote[1161].speaker SPEAKER_07
transcript.pyannote[1161].start 10030.07534375
transcript.pyannote[1161].end 10032.10034375
transcript.pyannote[1162].speaker SPEAKER_26
transcript.pyannote[1162].start 10031.00346875
transcript.pyannote[1162].end 10031.39159375
transcript.pyannote[1163].speaker SPEAKER_07
transcript.pyannote[1163].start 10033.29846875
transcript.pyannote[1163].end 10033.31534375
transcript.pyannote[1164].speaker SPEAKER_10
transcript.pyannote[1164].start 10033.31534375
transcript.pyannote[1164].end 10044.57096875
transcript.pyannote[1165].speaker SPEAKER_11
transcript.pyannote[1165].start 10048.53659375
transcript.pyannote[1165].end 10049.34659375
transcript.pyannote[1166].speaker SPEAKER_11
transcript.pyannote[1166].start 10049.81909375
transcript.pyannote[1166].end 10049.90346875
transcript.pyannote[1167].speaker SPEAKER_10
transcript.pyannote[1167].start 10049.90346875
transcript.pyannote[1167].end 10053.02534375
transcript.pyannote[1168].speaker SPEAKER_27
transcript.pyannote[1168].start 10053.02534375
transcript.pyannote[1168].end 10056.50159375
transcript.pyannote[1169].speaker SPEAKER_10
transcript.pyannote[1169].start 10056.50159375
transcript.pyannote[1169].end 10056.53534375
transcript.pyannote[1170].speaker SPEAKER_27
transcript.pyannote[1170].start 10057.41284375
transcript.pyannote[1170].end 10059.01596875
transcript.pyannote[1171].speaker SPEAKER_10
transcript.pyannote[1171].start 10061.64846875
transcript.pyannote[1171].end 10062.15471875
transcript.pyannote[1172].speaker SPEAKER_10
transcript.pyannote[1172].start 10062.55971875
transcript.pyannote[1172].end 10063.21784375
transcript.pyannote[1173].speaker SPEAKER_10
transcript.pyannote[1173].start 10065.69846875
transcript.pyannote[1173].end 10066.33971875
transcript.pyannote[1174].speaker SPEAKER_27
transcript.pyannote[1174].start 10066.33971875
transcript.pyannote[1174].end 10066.35659375
transcript.pyannote[1175].speaker SPEAKER_27
transcript.pyannote[1175].start 10067.03159375
transcript.pyannote[1175].end 10067.87534375
transcript.pyannote[1176].speaker SPEAKER_27
transcript.pyannote[1176].start 10068.29721875
transcript.pyannote[1176].end 10073.83221875
transcript.pyannote[1177].speaker SPEAKER_27
transcript.pyannote[1177].start 10074.57471875
transcript.pyannote[1177].end 10077.07221875
transcript.pyannote[1178].speaker SPEAKER_27
transcript.pyannote[1178].start 10077.59534375
transcript.pyannote[1178].end 10082.72534375
transcript.pyannote[1179].speaker SPEAKER_27
transcript.pyannote[1179].start 10083.21471875
transcript.pyannote[1179].end 10084.66596875
transcript.pyannote[1180].speaker SPEAKER_27
transcript.pyannote[1180].start 10085.30721875
transcript.pyannote[1180].end 10086.42096875
transcript.pyannote[1181].speaker SPEAKER_27
transcript.pyannote[1181].start 10087.01159375
transcript.pyannote[1181].end 10088.17596875
transcript.pyannote[1182].speaker SPEAKER_27
transcript.pyannote[1182].start 10088.63159375
transcript.pyannote[1182].end 10091.55096875
transcript.pyannote[1183].speaker SPEAKER_27
transcript.pyannote[1183].start 10092.00659375
transcript.pyannote[1183].end 10092.98534375
transcript.pyannote[1184].speaker SPEAKER_27
transcript.pyannote[1184].start 10093.98096875
transcript.pyannote[1184].end 10097.50784375
transcript.pyannote[1185].speaker SPEAKER_27
transcript.pyannote[1185].start 10098.13221875
transcript.pyannote[1185].end 10098.85784375
transcript.pyannote[1186].speaker SPEAKER_27
transcript.pyannote[1186].start 10099.36409375
transcript.pyannote[1186].end 10100.62971875
transcript.pyannote[1187].speaker SPEAKER_27
transcript.pyannote[1187].start 10101.13596875
transcript.pyannote[1187].end 10102.21596875
transcript.pyannote[1188].speaker SPEAKER_27
transcript.pyannote[1188].start 10102.84034375
transcript.pyannote[1188].end 10106.87346875
transcript.pyannote[1189].speaker SPEAKER_27
transcript.pyannote[1189].start 10107.37971875
transcript.pyannote[1189].end 10108.05471875
transcript.pyannote[1190].speaker SPEAKER_27
transcript.pyannote[1190].start 10108.61159375
transcript.pyannote[1190].end 10111.75034375
transcript.pyannote[1191].speaker SPEAKER_27
transcript.pyannote[1191].start 10112.13846875
transcript.pyannote[1191].end 10113.69096875
transcript.pyannote[1192].speaker SPEAKER_27
transcript.pyannote[1192].start 10114.21409375
transcript.pyannote[1192].end 10117.18409375
transcript.pyannote[1193].speaker SPEAKER_27
transcript.pyannote[1193].start 10117.35284375
transcript.pyannote[1193].end 10118.01096875
transcript.pyannote[1194].speaker SPEAKER_27
transcript.pyannote[1194].start 10119.05721875
transcript.pyannote[1194].end 10122.14534375
transcript.pyannote[1195].speaker SPEAKER_27
transcript.pyannote[1195].start 10122.58409375
transcript.pyannote[1195].end 10125.84096875
transcript.pyannote[1196].speaker SPEAKER_27
transcript.pyannote[1196].start 10126.63409375
transcript.pyannote[1196].end 10127.68034375
transcript.pyannote[1197].speaker SPEAKER_27
transcript.pyannote[1197].start 10127.98409375
transcript.pyannote[1197].end 10129.60409375
transcript.pyannote[1198].speaker SPEAKER_27
transcript.pyannote[1198].start 10129.94159375
transcript.pyannote[1198].end 10131.07221875
transcript.pyannote[1199].speaker SPEAKER_27
transcript.pyannote[1199].start 10131.08909375
transcript.pyannote[1199].end 10131.86534375
transcript.pyannote[1200].speaker SPEAKER_27
transcript.pyannote[1200].start 10132.15221875
transcript.pyannote[1200].end 10135.45971875
transcript.pyannote[1201].speaker SPEAKER_27
transcript.pyannote[1201].start 10135.88159375
transcript.pyannote[1201].end 10137.19784375
transcript.pyannote[1202].speaker SPEAKER_27
transcript.pyannote[1202].start 10138.22721875
transcript.pyannote[1202].end 10141.02846875
transcript.pyannote[1203].speaker SPEAKER_27
transcript.pyannote[1203].start 10141.58534375
transcript.pyannote[1203].end 10142.24346875
transcript.pyannote[1204].speaker SPEAKER_27
transcript.pyannote[1204].start 10142.64846875
transcript.pyannote[1204].end 10145.28096875
transcript.pyannote[1205].speaker SPEAKER_27
transcript.pyannote[1205].start 10145.43284375
transcript.pyannote[1205].end 10146.42846875
transcript.pyannote[1206].speaker SPEAKER_27
transcript.pyannote[1206].start 10147.15409375
transcript.pyannote[1206].end 10148.08221875
transcript.pyannote[1207].speaker SPEAKER_27
transcript.pyannote[1207].start 10148.65596875
transcript.pyannote[1207].end 10150.37721875
transcript.pyannote[1208].speaker SPEAKER_27
transcript.pyannote[1208].start 10150.96784375
transcript.pyannote[1208].end 10152.79034375
transcript.pyannote[1209].speaker SPEAKER_27
transcript.pyannote[1209].start 10153.14471875
transcript.pyannote[1209].end 10156.55346875
transcript.pyannote[1210].speaker SPEAKER_27
transcript.pyannote[1210].start 10157.24534375
transcript.pyannote[1210].end 10159.64159375
transcript.pyannote[1211].speaker SPEAKER_27
transcript.pyannote[1211].start 10160.48534375
transcript.pyannote[1211].end 10161.04221875
transcript.pyannote[1212].speaker SPEAKER_27
transcript.pyannote[1212].start 10161.76784375
transcript.pyannote[1212].end 10162.93221875
transcript.pyannote[1213].speaker SPEAKER_27
transcript.pyannote[1213].start 10163.35409375
transcript.pyannote[1213].end 10165.31159375
transcript.pyannote[1214].speaker SPEAKER_27
transcript.pyannote[1214].start 10166.02034375
transcript.pyannote[1214].end 10166.66159375
transcript.pyannote[1215].speaker SPEAKER_27
transcript.pyannote[1215].start 10167.06659375
transcript.pyannote[1215].end 10173.68159375
transcript.pyannote[1216].speaker SPEAKER_27
transcript.pyannote[1216].start 10174.18784375
transcript.pyannote[1216].end 10177.51221875
transcript.pyannote[1217].speaker SPEAKER_27
transcript.pyannote[1217].start 10178.08596875
transcript.pyannote[1217].end 10178.87909375
transcript.pyannote[1218].speaker SPEAKER_27
transcript.pyannote[1218].start 10179.21659375
transcript.pyannote[1218].end 10181.49471875
transcript.pyannote[1219].speaker SPEAKER_27
transcript.pyannote[1219].start 10181.76471875
transcript.pyannote[1219].end 10184.14409375
transcript.pyannote[1220].speaker SPEAKER_27
transcript.pyannote[1220].start 10184.29596875
transcript.pyannote[1220].end 10185.93284375
transcript.pyannote[1221].speaker SPEAKER_27
transcript.pyannote[1221].start 10186.82721875
transcript.pyannote[1221].end 10188.48096875
transcript.pyannote[1222].speaker SPEAKER_27
transcript.pyannote[1222].start 10188.56534375
transcript.pyannote[1222].end 10189.76346875
transcript.pyannote[1223].speaker SPEAKER_27
transcript.pyannote[1223].start 10190.18534375
transcript.pyannote[1223].end 10191.51846875
transcript.pyannote[1224].speaker SPEAKER_27
transcript.pyannote[1224].start 10191.78846875
transcript.pyannote[1224].end 10197.93096875
transcript.pyannote[1225].speaker SPEAKER_27
transcript.pyannote[1225].start 10198.47096875
transcript.pyannote[1225].end 10199.50034375
transcript.pyannote[1226].speaker SPEAKER_27
transcript.pyannote[1226].start 10199.93909375
transcript.pyannote[1226].end 10202.45346875
transcript.pyannote[1227].speaker SPEAKER_27
transcript.pyannote[1227].start 10202.74034375
transcript.pyannote[1227].end 10203.68534375
transcript.pyannote[1228].speaker SPEAKER_27
transcript.pyannote[1228].start 10204.47846875
transcript.pyannote[1228].end 10206.48659375
transcript.pyannote[1229].speaker SPEAKER_27
transcript.pyannote[1229].start 10206.85784375
transcript.pyannote[1229].end 10209.49034375
transcript.pyannote[1230].speaker SPEAKER_27
transcript.pyannote[1230].start 10210.06409375
transcript.pyannote[1230].end 10211.48159375
transcript.pyannote[1231].speaker SPEAKER_27
transcript.pyannote[1231].start 10211.86971875
transcript.pyannote[1231].end 10213.35471875
transcript.pyannote[1232].speaker SPEAKER_27
transcript.pyannote[1232].start 10213.99596875
transcript.pyannote[1232].end 10214.70471875
transcript.pyannote[1233].speaker SPEAKER_27
transcript.pyannote[1233].start 10215.91971875
transcript.pyannote[1233].end 10221.23534375
transcript.pyannote[1234].speaker SPEAKER_27
transcript.pyannote[1234].start 10221.77534375
transcript.pyannote[1234].end 10223.85096875
transcript.pyannote[1235].speaker SPEAKER_27
transcript.pyannote[1235].start 10224.67784375
transcript.pyannote[1235].end 10226.82096875
transcript.pyannote[1236].speaker SPEAKER_27
transcript.pyannote[1236].start 10227.47909375
transcript.pyannote[1236].end 10228.57596875
transcript.pyannote[1237].speaker SPEAKER_27
transcript.pyannote[1237].start 10229.47034375
transcript.pyannote[1237].end 10229.92596875
transcript.pyannote[1238].speaker SPEAKER_27
transcript.pyannote[1238].start 10231.74846875
transcript.pyannote[1238].end 10233.33471875
transcript.pyannote[1239].speaker SPEAKER_27
transcript.pyannote[1239].start 10234.73534375
transcript.pyannote[1239].end 10236.67596875
transcript.pyannote[1240].speaker SPEAKER_27
transcript.pyannote[1240].start 10237.85721875
transcript.pyannote[1240].end 10239.05534375
transcript.pyannote[1241].speaker SPEAKER_27
transcript.pyannote[1241].start 10240.16909375
transcript.pyannote[1241].end 10240.82721875
transcript.pyannote[1242].speaker SPEAKER_27
transcript.pyannote[1242].start 10241.09721875
transcript.pyannote[1242].end 10242.02534375
transcript.pyannote[1243].speaker SPEAKER_27
transcript.pyannote[1243].start 10243.03784375
transcript.pyannote[1243].end 10244.87721875
transcript.pyannote[1244].speaker SPEAKER_27
transcript.pyannote[1244].start 10244.97846875
transcript.pyannote[1244].end 10245.85596875
transcript.pyannote[1245].speaker SPEAKER_27
transcript.pyannote[1245].start 10245.97409375
transcript.pyannote[1245].end 10246.02471875
transcript.pyannote[1246].speaker SPEAKER_27
transcript.pyannote[1246].start 10246.09221875
transcript.pyannote[1246].end 10247.20596875
transcript.pyannote[1247].speaker SPEAKER_27
transcript.pyannote[1247].start 10247.81346875
transcript.pyannote[1247].end 10250.15909375
transcript.pyannote[1248].speaker SPEAKER_27
transcript.pyannote[1248].start 10250.47971875
transcript.pyannote[1248].end 10254.90096875
transcript.pyannote[1249].speaker SPEAKER_28
transcript.pyannote[1249].start 10256.75721875
transcript.pyannote[1249].end 10261.44846875
transcript.pyannote[1250].speaker SPEAKER_27
transcript.pyannote[1250].start 10260.90846875
transcript.pyannote[1250].end 10263.27096875
transcript.pyannote[1251].speaker SPEAKER_28
transcript.pyannote[1251].start 10263.82784375
transcript.pyannote[1251].end 10266.54471875
transcript.pyannote[1252].speaker SPEAKER_27
transcript.pyannote[1252].start 10266.05534375
transcript.pyannote[1252].end 10267.05096875
transcript.pyannote[1253].speaker SPEAKER_28
transcript.pyannote[1253].start 10267.05096875
transcript.pyannote[1253].end 10269.64971875
transcript.pyannote[1254].speaker SPEAKER_27
transcript.pyannote[1254].start 10269.83534375
transcript.pyannote[1254].end 10270.76346875
transcript.pyannote[1255].speaker SPEAKER_28
transcript.pyannote[1255].start 10271.08409375
transcript.pyannote[1255].end 10280.92221875
transcript.pyannote[1256].speaker SPEAKER_27
transcript.pyannote[1256].start 10280.31471875
transcript.pyannote[1256].end 10288.97159375
transcript.pyannote[1257].speaker SPEAKER_32
transcript.pyannote[1257].start 10288.97159375
transcript.pyannote[1257].end 10289.22471875
transcript.pyannote[1258].speaker SPEAKER_27
transcript.pyannote[1258].start 10289.22471875
transcript.pyannote[1258].end 10301.17221875
transcript.pyannote[1259].speaker SPEAKER_32
transcript.pyannote[1259].start 10291.90784375
transcript.pyannote[1259].end 10292.58284375
transcript.pyannote[1260].speaker SPEAKER_27
transcript.pyannote[1260].start 10301.69534375
transcript.pyannote[1260].end 10304.02409375
transcript.pyannote[1261].speaker SPEAKER_27
transcript.pyannote[1261].start 10304.04096875
transcript.pyannote[1261].end 10305.22221875
transcript.pyannote[1262].speaker SPEAKER_28
transcript.pyannote[1262].start 10305.84659375
transcript.pyannote[1262].end 10307.66909375
transcript.pyannote[1263].speaker SPEAKER_27
transcript.pyannote[1263].start 10306.36971875
transcript.pyannote[1263].end 10307.70284375
transcript.pyannote[1264].speaker SPEAKER_28
transcript.pyannote[1264].start 10308.68159375
transcript.pyannote[1264].end 10319.21159375
transcript.pyannote[1265].speaker SPEAKER_27
transcript.pyannote[1265].start 10318.84034375
transcript.pyannote[1265].end 10321.70909375
transcript.pyannote[1266].speaker SPEAKER_27
transcript.pyannote[1266].start 10322.21534375
transcript.pyannote[1266].end 10323.95346875
transcript.pyannote[1267].speaker SPEAKER_27
transcript.pyannote[1267].start 10324.64534375
transcript.pyannote[1267].end 10325.97846875
transcript.pyannote[1268].speaker SPEAKER_27
transcript.pyannote[1268].start 10326.45096875
transcript.pyannote[1268].end 10338.90471875
transcript.pyannote[1269].speaker SPEAKER_27
transcript.pyannote[1269].start 10339.51221875
transcript.pyannote[1269].end 10340.94659375
transcript.pyannote[1270].speaker SPEAKER_28
transcript.pyannote[1270].start 10342.41471875
transcript.pyannote[1270].end 10347.07221875
transcript.pyannote[1271].speaker SPEAKER_27
transcript.pyannote[1271].start 10345.90784375
transcript.pyannote[1271].end 10349.02971875
transcript.pyannote[1272].speaker SPEAKER_28
transcript.pyannote[1272].start 10349.02971875
transcript.pyannote[1272].end 10352.01659375
transcript.pyannote[1273].speaker SPEAKER_27
transcript.pyannote[1273].start 10352.01659375
transcript.pyannote[1273].end 10352.03346875
transcript.pyannote[1274].speaker SPEAKER_28
transcript.pyannote[1274].start 10352.03346875
transcript.pyannote[1274].end 10356.64034375
transcript.pyannote[1275].speaker SPEAKER_27
transcript.pyannote[1275].start 10356.21846875
transcript.pyannote[1275].end 10360.08284375
transcript.pyannote[1276].speaker SPEAKER_28
transcript.pyannote[1276].start 10357.29846875
transcript.pyannote[1276].end 10357.90596875
transcript.pyannote[1277].speaker SPEAKER_28
transcript.pyannote[1277].start 10358.73284375
transcript.pyannote[1277].end 10363.47471875
transcript.pyannote[1278].speaker SPEAKER_27
transcript.pyannote[1278].start 10362.15846875
transcript.pyannote[1278].end 10366.15784375
transcript.pyannote[1279].speaker SPEAKER_27
transcript.pyannote[1279].start 10366.44471875
transcript.pyannote[1279].end 10369.73534375
transcript.pyannote[1280].speaker SPEAKER_27
transcript.pyannote[1280].start 10370.20784375
transcript.pyannote[1280].end 10373.81909375
transcript.pyannote[1281].speaker SPEAKER_27
transcript.pyannote[1281].start 10374.03846875
transcript.pyannote[1281].end 10376.08034375
transcript.pyannote[1282].speaker SPEAKER_27
transcript.pyannote[1282].start 10376.60346875
transcript.pyannote[1282].end 10378.00409375
transcript.pyannote[1283].speaker SPEAKER_27
transcript.pyannote[1283].start 10378.35846875
transcript.pyannote[1283].end 10387.92659375
transcript.pyannote[1284].speaker SPEAKER_27
transcript.pyannote[1284].start 10388.29784375
transcript.pyannote[1284].end 10392.22971875
transcript.pyannote[1285].speaker SPEAKER_27
transcript.pyannote[1285].start 10392.98909375
transcript.pyannote[1285].end 10394.94659375
transcript.pyannote[1286].speaker SPEAKER_27
transcript.pyannote[1286].start 10395.68909375
transcript.pyannote[1286].end 10402.38846875
transcript.pyannote[1287].speaker SPEAKER_27
transcript.pyannote[1287].start 10403.53596875
transcript.pyannote[1287].end 10404.31221875
transcript.pyannote[1288].speaker SPEAKER_28
transcript.pyannote[1288].start 10404.51471875
transcript.pyannote[1288].end 10405.12221875
transcript.pyannote[1289].speaker SPEAKER_27
transcript.pyannote[1289].start 10405.12221875
transcript.pyannote[1289].end 10406.84346875
transcript.pyannote[1290].speaker SPEAKER_27
transcript.pyannote[1290].start 10407.87284375
transcript.pyannote[1290].end 10410.38721875
transcript.pyannote[1291].speaker SPEAKER_27
transcript.pyannote[1291].start 10411.18034375
transcript.pyannote[1291].end 10412.36159375
transcript.pyannote[1292].speaker SPEAKER_28
transcript.pyannote[1292].start 10412.54721875
transcript.pyannote[1292].end 10412.74971875
transcript.pyannote[1293].speaker SPEAKER_27
transcript.pyannote[1293].start 10413.22221875
transcript.pyannote[1293].end 10414.38659375
transcript.pyannote[1294].speaker SPEAKER_27
transcript.pyannote[1294].start 10414.79159375
transcript.pyannote[1294].end 10416.20909375
transcript.pyannote[1295].speaker SPEAKER_27
transcript.pyannote[1295].start 10416.83346875
transcript.pyannote[1295].end 10418.03159375
transcript.pyannote[1296].speaker SPEAKER_27
transcript.pyannote[1296].start 10418.04846875
transcript.pyannote[1296].end 10419.66846875
transcript.pyannote[1297].speaker SPEAKER_27
transcript.pyannote[1297].start 10419.83721875
transcript.pyannote[1297].end 10423.29659375
transcript.pyannote[1298].speaker SPEAKER_27
transcript.pyannote[1298].start 10423.53284375
transcript.pyannote[1298].end 10424.98409375
transcript.pyannote[1299].speaker SPEAKER_27
transcript.pyannote[1299].start 10425.86159375
transcript.pyannote[1299].end 10427.70096875
transcript.pyannote[1300].speaker SPEAKER_28
transcript.pyannote[1300].start 10429.52346875
transcript.pyannote[1300].end 10431.16034375
transcript.pyannote[1301].speaker SPEAKER_27
transcript.pyannote[1301].start 10431.16034375
transcript.pyannote[1301].end 10431.27846875
transcript.pyannote[1302].speaker SPEAKER_28
transcript.pyannote[1302].start 10431.27846875
transcript.pyannote[1302].end 10431.36284375
transcript.pyannote[1303].speaker SPEAKER_27
transcript.pyannote[1303].start 10431.36284375
transcript.pyannote[1303].end 10431.41346875
transcript.pyannote[1304].speaker SPEAKER_27
transcript.pyannote[1304].start 10431.63284375
transcript.pyannote[1304].end 10432.03784375
transcript.pyannote[1305].speaker SPEAKER_28
transcript.pyannote[1305].start 10432.03784375
transcript.pyannote[1305].end 10432.30784375
transcript.pyannote[1306].speaker SPEAKER_28
transcript.pyannote[1306].start 10433.10096875
transcript.pyannote[1306].end 10440.03659375
transcript.pyannote[1307].speaker SPEAKER_28
transcript.pyannote[1307].start 10440.39096875
transcript.pyannote[1307].end 10443.73221875
transcript.pyannote[1308].speaker SPEAKER_27
transcript.pyannote[1308].start 10443.73221875
transcript.pyannote[1308].end 10448.06909375
transcript.pyannote[1309].speaker SPEAKER_28
transcript.pyannote[1309].start 10447.24221875
transcript.pyannote[1309].end 10447.37721875
transcript.pyannote[1310].speaker SPEAKER_28
transcript.pyannote[1310].start 10447.39409375
transcript.pyannote[1310].end 10447.41096875
transcript.pyannote[1311].speaker SPEAKER_28
transcript.pyannote[1311].start 10448.06909375
transcript.pyannote[1311].end 10448.18721875
transcript.pyannote[1312].speaker SPEAKER_27
transcript.pyannote[1312].start 10448.18721875
transcript.pyannote[1312].end 10448.20409375
transcript.pyannote[1313].speaker SPEAKER_28
transcript.pyannote[1313].start 10448.20409375
transcript.pyannote[1313].end 10449.36846875
transcript.pyannote[1314].speaker SPEAKER_27
transcript.pyannote[1314].start 10449.36846875
transcript.pyannote[1314].end 10449.77346875
transcript.pyannote[1315].speaker SPEAKER_27
transcript.pyannote[1315].start 10450.09409375
transcript.pyannote[1315].end 10450.21221875
transcript.pyannote[1316].speaker SPEAKER_27
transcript.pyannote[1316].start 10450.53284375
transcript.pyannote[1316].end 10455.71346875
transcript.pyannote[1317].speaker SPEAKER_27
transcript.pyannote[1317].start 10455.96659375
transcript.pyannote[1317].end 10459.40909375
transcript.pyannote[1318].speaker SPEAKER_27
transcript.pyannote[1318].start 10459.98284375
transcript.pyannote[1318].end 10461.02909375
transcript.pyannote[1319].speaker SPEAKER_27
transcript.pyannote[1319].start 10461.48471875
transcript.pyannote[1319].end 10465.58534375
transcript.pyannote[1320].speaker SPEAKER_27
transcript.pyannote[1320].start 10466.15909375
transcript.pyannote[1320].end 10476.63846875
transcript.pyannote[1321].speaker SPEAKER_28
transcript.pyannote[1321].start 10477.83659375
transcript.pyannote[1321].end 10484.62034375
transcript.pyannote[1322].speaker SPEAKER_28
transcript.pyannote[1322].start 10485.26159375
transcript.pyannote[1322].end 10485.90284375
transcript.pyannote[1323].speaker SPEAKER_28
transcript.pyannote[1323].start 10486.17284375
transcript.pyannote[1323].end 10495.01534375
transcript.pyannote[1324].speaker SPEAKER_27
transcript.pyannote[1324].start 10495.01534375
transcript.pyannote[1324].end 10499.31846875
transcript.pyannote[1325].speaker SPEAKER_27
transcript.pyannote[1325].start 10499.52096875
transcript.pyannote[1325].end 10502.55846875
transcript.pyannote[1326].speaker SPEAKER_27
transcript.pyannote[1326].start 10503.33471875
transcript.pyannote[1326].end 10503.35159375
transcript.pyannote[1327].speaker SPEAKER_28
transcript.pyannote[1327].start 10503.35159375
transcript.pyannote[1327].end 10503.38534375
transcript.pyannote[1328].speaker SPEAKER_27
transcript.pyannote[1328].start 10503.38534375
transcript.pyannote[1328].end 10503.97596875
transcript.pyannote[1329].speaker SPEAKER_28
transcript.pyannote[1329].start 10503.97596875
transcript.pyannote[1329].end 10504.04346875
transcript.pyannote[1330].speaker SPEAKER_27
transcript.pyannote[1330].start 10504.04346875
transcript.pyannote[1330].end 10504.31346875
transcript.pyannote[1331].speaker SPEAKER_27
transcript.pyannote[1331].start 10504.33034375
transcript.pyannote[1331].end 10505.27534375
transcript.pyannote[1332].speaker SPEAKER_27
transcript.pyannote[1332].start 10507.13159375
transcript.pyannote[1332].end 10507.14846875
transcript.pyannote[1333].speaker SPEAKER_10
transcript.pyannote[1333].start 10507.14846875
transcript.pyannote[1333].end 10510.69221875
transcript.pyannote[1334].speaker SPEAKER_10
transcript.pyannote[1334].start 10511.11409375
transcript.pyannote[1334].end 10511.75534375
transcript.pyannote[1335].speaker SPEAKER_10
transcript.pyannote[1335].start 10512.90284375
transcript.pyannote[1335].end 10516.42971875
transcript.pyannote[1336].speaker SPEAKER_19
transcript.pyannote[1336].start 10523.38221875
transcript.pyannote[1336].end 10525.37346875
transcript.pyannote[1337].speaker SPEAKER_19
transcript.pyannote[1337].start 10525.72784375
transcript.pyannote[1337].end 10526.21721875
transcript.pyannote[1338].speaker SPEAKER_10
transcript.pyannote[1338].start 10526.75721875
transcript.pyannote[1338].end 10527.63471875
transcript.pyannote[1339].speaker SPEAKER_19
transcript.pyannote[1339].start 10533.20346875
transcript.pyannote[1339].end 10533.40596875
transcript.pyannote[1340].speaker SPEAKER_39
transcript.pyannote[1340].start 10533.40596875
transcript.pyannote[1340].end 10533.89534375
transcript.pyannote[1341].speaker SPEAKER_19
transcript.pyannote[1341].start 10533.89534375
transcript.pyannote[1341].end 10533.91221875
transcript.pyannote[1342].speaker SPEAKER_19
transcript.pyannote[1342].start 10534.11471875
transcript.pyannote[1342].end 10543.00784375
transcript.pyannote[1343].speaker SPEAKER_19
transcript.pyannote[1343].start 10543.37909375
transcript.pyannote[1343].end 10544.61096875
transcript.pyannote[1344].speaker SPEAKER_19
transcript.pyannote[1344].start 10545.33659375
transcript.pyannote[1344].end 10547.24346875
transcript.pyannote[1345].speaker SPEAKER_19
transcript.pyannote[1345].start 10547.69909375
transcript.pyannote[1345].end 10550.12909375
transcript.pyannote[1346].speaker SPEAKER_19
transcript.pyannote[1346].start 10550.34846875
transcript.pyannote[1346].end 10567.03784375
transcript.pyannote[1347].speaker SPEAKER_19
transcript.pyannote[1347].start 10567.93221875
transcript.pyannote[1347].end 10569.56909375
transcript.pyannote[1348].speaker SPEAKER_19
transcript.pyannote[1348].start 10570.29471875
transcript.pyannote[1348].end 10570.78409375
transcript.pyannote[1349].speaker SPEAKER_19
transcript.pyannote[1349].start 10571.64471875
transcript.pyannote[1349].end 10572.77534375
transcript.pyannote[1350].speaker SPEAKER_19
transcript.pyannote[1350].start 10573.36596875
transcript.pyannote[1350].end 10574.24346875
transcript.pyannote[1351].speaker SPEAKER_19
transcript.pyannote[1351].start 10574.80034375
transcript.pyannote[1351].end 10575.42471875
transcript.pyannote[1352].speaker SPEAKER_19
transcript.pyannote[1352].start 10575.71159375
transcript.pyannote[1352].end 10577.06159375
transcript.pyannote[1353].speaker SPEAKER_19
transcript.pyannote[1353].start 10577.29784375
transcript.pyannote[1353].end 10581.36471875
transcript.pyannote[1354].speaker SPEAKER_19
transcript.pyannote[1354].start 10581.38159375
transcript.pyannote[1354].end 10583.28846875
transcript.pyannote[1355].speaker SPEAKER_19
transcript.pyannote[1355].start 10583.64284375
transcript.pyannote[1355].end 10587.03471875
transcript.pyannote[1356].speaker SPEAKER_19
transcript.pyannote[1356].start 10587.62534375
transcript.pyannote[1356].end 10589.27909375
transcript.pyannote[1357].speaker SPEAKER_19
transcript.pyannote[1357].start 10589.49846875
transcript.pyannote[1357].end 10591.28721875
transcript.pyannote[1358].speaker SPEAKER_19
transcript.pyannote[1358].start 10591.87784375
transcript.pyannote[1358].end 10595.60721875
transcript.pyannote[1359].speaker SPEAKER_19
transcript.pyannote[1359].start 10596.13034375
transcript.pyannote[1359].end 10599.82596875
transcript.pyannote[1360].speaker SPEAKER_19
transcript.pyannote[1360].start 10600.02846875
transcript.pyannote[1360].end 10608.78659375
transcript.pyannote[1361].speaker SPEAKER_28
transcript.pyannote[1361].start 10608.87096875
transcript.pyannote[1361].end 10617.46034375
transcript.pyannote[1362].speaker SPEAKER_19
transcript.pyannote[1362].start 10615.06409375
transcript.pyannote[1362].end 10625.79659375
transcript.pyannote[1363].speaker SPEAKER_28
transcript.pyannote[1363].start 10618.01721875
transcript.pyannote[1363].end 10618.35471875
transcript.pyannote[1364].speaker SPEAKER_28
transcript.pyannote[1364].start 10619.97471875
transcript.pyannote[1364].end 10620.36284375
transcript.pyannote[1365].speaker SPEAKER_28
transcript.pyannote[1365].start 10622.23596875
transcript.pyannote[1365].end 10622.33721875
transcript.pyannote[1366].speaker SPEAKER_28
transcript.pyannote[1366].start 10624.44659375
transcript.pyannote[1366].end 10635.53346875
transcript.pyannote[1367].speaker SPEAKER_19
transcript.pyannote[1367].start 10630.50471875
transcript.pyannote[1367].end 10632.22596875
transcript.pyannote[1368].speaker SPEAKER_28
transcript.pyannote[1368].start 10635.68534375
transcript.pyannote[1368].end 10636.44471875
transcript.pyannote[1369].speaker SPEAKER_19
transcript.pyannote[1369].start 10635.80346875
transcript.pyannote[1369].end 10652.03721875
transcript.pyannote[1370].speaker SPEAKER_28
transcript.pyannote[1370].start 10638.46971875
transcript.pyannote[1370].end 10638.94221875
transcript.pyannote[1371].speaker SPEAKER_19
transcript.pyannote[1371].start 10652.71221875
transcript.pyannote[1371].end 10655.98596875
transcript.pyannote[1372].speaker SPEAKER_19
transcript.pyannote[1372].start 10656.30659375
transcript.pyannote[1372].end 10658.95596875
transcript.pyannote[1373].speaker SPEAKER_28
transcript.pyannote[1373].start 10659.39471875
transcript.pyannote[1373].end 10663.42784375
transcript.pyannote[1374].speaker SPEAKER_19
transcript.pyannote[1374].start 10662.65159375
transcript.pyannote[1374].end 10666.85346875
transcript.pyannote[1375].speaker SPEAKER_28
transcript.pyannote[1375].start 10666.85346875
transcript.pyannote[1375].end 10670.21159375
transcript.pyannote[1376].speaker SPEAKER_19
transcript.pyannote[1376].start 10668.69284375
transcript.pyannote[1376].end 10675.91534375
transcript.pyannote[1377].speaker SPEAKER_28
transcript.pyannote[1377].start 10672.86096875
transcript.pyannote[1377].end 10673.58659375
transcript.pyannote[1378].speaker SPEAKER_28
transcript.pyannote[1378].start 10674.53159375
transcript.pyannote[1378].end 10685.60159375
transcript.pyannote[1379].speaker SPEAKER_19
transcript.pyannote[1379].start 10676.47221875
transcript.pyannote[1379].end 10677.95721875
transcript.pyannote[1380].speaker SPEAKER_19
transcript.pyannote[1380].start 10683.27284375
transcript.pyannote[1380].end 10693.93784375
transcript.pyannote[1381].speaker SPEAKER_28
transcript.pyannote[1381].start 10694.05596875
transcript.pyannote[1381].end 10697.48159375
transcript.pyannote[1382].speaker SPEAKER_19
transcript.pyannote[1382].start 10696.70534375
transcript.pyannote[1382].end 10698.29159375
transcript.pyannote[1383].speaker SPEAKER_28
transcript.pyannote[1383].start 10698.29159375
transcript.pyannote[1383].end 10704.26534375
transcript.pyannote[1384].speaker SPEAKER_19
transcript.pyannote[1384].start 10703.03346875
transcript.pyannote[1384].end 10717.10721875
transcript.pyannote[1385].speaker SPEAKER_19
transcript.pyannote[1385].start 10717.44471875
transcript.pyannote[1385].end 10728.66659375
transcript.pyannote[1386].speaker SPEAKER_19
transcript.pyannote[1386].start 10729.03784375
transcript.pyannote[1386].end 10730.23596875
transcript.pyannote[1387].speaker SPEAKER_19
transcript.pyannote[1387].start 10730.53971875
transcript.pyannote[1387].end 10759.98659375
transcript.pyannote[1388].speaker SPEAKER_21
transcript.pyannote[1388].start 10738.30221875
transcript.pyannote[1388].end 10738.60596875
transcript.pyannote[1389].speaker SPEAKER_28
transcript.pyannote[1389].start 10760.34096875
transcript.pyannote[1389].end 10775.57909375
transcript.pyannote[1390].speaker SPEAKER_19
transcript.pyannote[1390].start 10760.59409375
transcript.pyannote[1390].end 10762.23096875
transcript.pyannote[1391].speaker SPEAKER_19
transcript.pyannote[1391].start 10765.90971875
transcript.pyannote[1391].end 10766.26409375
transcript.pyannote[1392].speaker SPEAKER_12
transcript.pyannote[1392].start 10766.26409375
transcript.pyannote[1392].end 10766.34846875
transcript.pyannote[1393].speaker SPEAKER_19
transcript.pyannote[1393].start 10766.34846875
transcript.pyannote[1393].end 10766.36534375
transcript.pyannote[1394].speaker SPEAKER_19
transcript.pyannote[1394].start 10766.87159375
transcript.pyannote[1394].end 10769.01471875
transcript.pyannote[1395].speaker SPEAKER_12
transcript.pyannote[1395].start 10769.01471875
transcript.pyannote[1395].end 10769.03159375
transcript.pyannote[1396].speaker SPEAKER_19
transcript.pyannote[1396].start 10774.81971875
transcript.pyannote[1396].end 10777.68846875
transcript.pyannote[1397].speaker SPEAKER_28
transcript.pyannote[1397].start 10777.85721875
transcript.pyannote[1397].end 10780.47284375
transcript.pyannote[1398].speaker SPEAKER_19
transcript.pyannote[1398].start 10779.54471875
transcript.pyannote[1398].end 10806.25784375
transcript.pyannote[1399].speaker SPEAKER_28
transcript.pyannote[1399].start 10804.35096875
transcript.pyannote[1399].end 10805.09346875
transcript.pyannote[1400].speaker SPEAKER_28
transcript.pyannote[1400].start 10805.78534375
transcript.pyannote[1400].end 10808.75534375
transcript.pyannote[1401].speaker SPEAKER_19
transcript.pyannote[1401].start 10807.92846875
transcript.pyannote[1401].end 10813.00784375
transcript.pyannote[1402].speaker SPEAKER_28
transcript.pyannote[1402].start 10811.57346875
transcript.pyannote[1402].end 10818.47534375
transcript.pyannote[1403].speaker SPEAKER_19
transcript.pyannote[1403].start 10813.02471875
transcript.pyannote[1403].end 10813.44659375
transcript.pyannote[1404].speaker SPEAKER_19
transcript.pyannote[1404].start 10815.53909375
transcript.pyannote[1404].end 10816.61909375
transcript.pyannote[1405].speaker SPEAKER_19
transcript.pyannote[1405].start 10816.87221875
transcript.pyannote[1405].end 10823.90909375
transcript.pyannote[1406].speaker SPEAKER_28
transcript.pyannote[1406].start 10823.90909375
transcript.pyannote[1406].end 10828.65096875
transcript.pyannote[1407].speaker SPEAKER_19
transcript.pyannote[1407].start 10828.21221875
transcript.pyannote[1407].end 10832.63346875
transcript.pyannote[1408].speaker SPEAKER_28
transcript.pyannote[1408].start 10832.00909375
transcript.pyannote[1408].end 10832.02596875
transcript.pyannote[1409].speaker SPEAKER_10
transcript.pyannote[1409].start 10832.02596875
transcript.pyannote[1409].end 10832.44784375
transcript.pyannote[1410].speaker SPEAKER_28
transcript.pyannote[1410].start 10832.44784375
transcript.pyannote[1410].end 10832.59971875
transcript.pyannote[1411].speaker SPEAKER_28
transcript.pyannote[1411].start 10832.63346875
transcript.pyannote[1411].end 10832.88659375
transcript.pyannote[1412].speaker SPEAKER_10
transcript.pyannote[1412].start 10833.32534375
transcript.pyannote[1412].end 10835.92409375
transcript.pyannote[1413].speaker SPEAKER_11
transcript.pyannote[1413].start 10836.07596875
transcript.pyannote[1413].end 10836.10971875
transcript.pyannote[1414].speaker SPEAKER_10
transcript.pyannote[1414].start 10836.10971875
transcript.pyannote[1414].end 10836.58221875
transcript.pyannote[1415].speaker SPEAKER_11
transcript.pyannote[1415].start 10836.58221875
transcript.pyannote[1415].end 10836.63284375
transcript.pyannote[1416].speaker SPEAKER_10
transcript.pyannote[1416].start 10837.03784375
transcript.pyannote[1416].end 10839.88971875
transcript.pyannote[1417].speaker SPEAKER_11
transcript.pyannote[1417].start 10840.58159375
transcript.pyannote[1417].end 10841.35784375
transcript.pyannote[1418].speaker SPEAKER_38
transcript.pyannote[1418].start 10852.88346875
transcript.pyannote[1418].end 10857.27096875
transcript.pyannote[1419].speaker SPEAKER_10
transcript.pyannote[1419].start 10857.67596875
transcript.pyannote[1419].end 10859.58284375
transcript.pyannote[1420].speaker SPEAKER_38
transcript.pyannote[1420].start 10860.98346875
transcript.pyannote[1420].end 10861.00034375
transcript.pyannote[1421].speaker SPEAKER_08
transcript.pyannote[1421].start 10861.00034375
transcript.pyannote[1421].end 10861.82721875
transcript.pyannote[1422].speaker SPEAKER_38
transcript.pyannote[1422].start 10861.82721875
transcript.pyannote[1422].end 10863.90284375
transcript.pyannote[1423].speaker SPEAKER_38
transcript.pyannote[1423].start 10866.38346875
transcript.pyannote[1423].end 10871.49659375
transcript.pyannote[1424].speaker SPEAKER_04
transcript.pyannote[1424].start 10867.17659375
transcript.pyannote[1424].end 10867.66596875
transcript.pyannote[1425].speaker SPEAKER_26
transcript.pyannote[1425].start 10867.66596875
transcript.pyannote[1425].end 10867.78409375
transcript.pyannote[1426].speaker SPEAKER_38
transcript.pyannote[1426].start 10871.96909375
transcript.pyannote[1426].end 10872.05346875
transcript.pyannote[1427].speaker SPEAKER_38
transcript.pyannote[1427].start 10872.08721875
transcript.pyannote[1427].end 10874.50034375
transcript.pyannote[1428].speaker SPEAKER_38
transcript.pyannote[1428].start 10875.76596875
transcript.pyannote[1428].end 10876.60971875
transcript.pyannote[1429].speaker SPEAKER_38
transcript.pyannote[1429].start 10877.67284375
transcript.pyannote[1429].end 10880.86221875
transcript.pyannote[1430].speaker SPEAKER_38
transcript.pyannote[1430].start 10881.11534375
transcript.pyannote[1430].end 10882.04346875
transcript.pyannote[1431].speaker SPEAKER_38
transcript.pyannote[1431].start 10882.48221875
transcript.pyannote[1431].end 10883.66346875
transcript.pyannote[1432].speaker SPEAKER_38
transcript.pyannote[1432].start 10884.08534375
transcript.pyannote[1432].end 10884.37221875
transcript.pyannote[1433].speaker SPEAKER_38
transcript.pyannote[1433].start 10885.01346875
transcript.pyannote[1433].end 10885.95846875
transcript.pyannote[1434].speaker SPEAKER_38
transcript.pyannote[1434].start 10886.54909375
transcript.pyannote[1434].end 10887.79784375
transcript.pyannote[1435].speaker SPEAKER_38
transcript.pyannote[1435].start 10888.77659375
transcript.pyannote[1435].end 10891.05471875
transcript.pyannote[1436].speaker SPEAKER_38
transcript.pyannote[1436].start 10892.72534375
transcript.pyannote[1436].end 10894.59846875
transcript.pyannote[1437].speaker SPEAKER_38
transcript.pyannote[1437].start 10897.31534375
transcript.pyannote[1437].end 10898.17596875
transcript.pyannote[1438].speaker SPEAKER_38
transcript.pyannote[1438].start 10898.78346875
transcript.pyannote[1438].end 10899.82971875
transcript.pyannote[1439].speaker SPEAKER_38
transcript.pyannote[1439].start 10901.04471875
transcript.pyannote[1439].end 10901.75346875
transcript.pyannote[1440].speaker SPEAKER_38
transcript.pyannote[1440].start 10902.47909375
transcript.pyannote[1440].end 10903.01909375
transcript.pyannote[1441].speaker SPEAKER_38
transcript.pyannote[1441].start 10903.25534375
transcript.pyannote[1441].end 10903.71096875
transcript.pyannote[1442].speaker SPEAKER_38
transcript.pyannote[1442].start 10904.43659375
transcript.pyannote[1442].end 10905.46596875
transcript.pyannote[1443].speaker SPEAKER_38
transcript.pyannote[1443].start 10906.46159375
transcript.pyannote[1443].end 10910.20784375
transcript.pyannote[1444].speaker SPEAKER_38
transcript.pyannote[1444].start 10911.59159375
transcript.pyannote[1444].end 10911.92909375
transcript.pyannote[1445].speaker SPEAKER_38
transcript.pyannote[1445].start 10912.23284375
transcript.pyannote[1445].end 10912.82346875
transcript.pyannote[1446].speaker SPEAKER_38
transcript.pyannote[1446].start 10913.14409375
transcript.pyannote[1446].end 10914.07221875
transcript.pyannote[1447].speaker SPEAKER_38
transcript.pyannote[1447].start 10915.05096875
transcript.pyannote[1447].end 10915.42221875
transcript.pyannote[1448].speaker SPEAKER_38
transcript.pyannote[1448].start 10918.34159375
transcript.pyannote[1448].end 10919.32034375
transcript.pyannote[1449].speaker SPEAKER_38
transcript.pyannote[1449].start 10920.04596875
transcript.pyannote[1449].end 10920.83909375
transcript.pyannote[1450].speaker SPEAKER_38
transcript.pyannote[1450].start 10921.51409375
transcript.pyannote[1450].end 10922.57721875
transcript.pyannote[1451].speaker SPEAKER_38
transcript.pyannote[1451].start 10923.26909375
transcript.pyannote[1451].end 10924.02846875
transcript.pyannote[1452].speaker SPEAKER_38
transcript.pyannote[1452].start 10925.09159375
transcript.pyannote[1452].end 10926.39096875
transcript.pyannote[1453].speaker SPEAKER_38
transcript.pyannote[1453].start 10927.28534375
transcript.pyannote[1453].end 10928.33159375
transcript.pyannote[1454].speaker SPEAKER_38
transcript.pyannote[1454].start 10928.92221875
transcript.pyannote[1454].end 10929.15846875
transcript.pyannote[1455].speaker SPEAKER_38
transcript.pyannote[1455].start 10931.50409375
transcript.pyannote[1455].end 10932.53346875
transcript.pyannote[1456].speaker SPEAKER_38
transcript.pyannote[1456].start 10933.03971875
transcript.pyannote[1456].end 10934.54159375
transcript.pyannote[1457].speaker SPEAKER_38
transcript.pyannote[1457].start 10935.48659375
transcript.pyannote[1457].end 10936.29659375
transcript.pyannote[1458].speaker SPEAKER_38
transcript.pyannote[1458].start 10936.65096875
transcript.pyannote[1458].end 10937.56221875
transcript.pyannote[1459].speaker SPEAKER_38
transcript.pyannote[1459].start 10938.47346875
transcript.pyannote[1459].end 10939.33409375
transcript.pyannote[1460].speaker SPEAKER_38
transcript.pyannote[1460].start 10939.97534375
transcript.pyannote[1460].end 10941.24096875
transcript.pyannote[1461].speaker SPEAKER_38
transcript.pyannote[1461].start 10941.86534375
transcript.pyannote[1461].end 10942.47284375
transcript.pyannote[1462].speaker SPEAKER_38
transcript.pyannote[1462].start 10942.99596875
transcript.pyannote[1462].end 10944.24471875
transcript.pyannote[1463].speaker SPEAKER_38
transcript.pyannote[1463].start 10945.22346875
transcript.pyannote[1463].end 10946.38784375
transcript.pyannote[1464].speaker SPEAKER_38
transcript.pyannote[1464].start 10947.31596875
transcript.pyannote[1464].end 10948.37909375
transcript.pyannote[1465].speaker SPEAKER_38
transcript.pyannote[1465].start 10949.07096875
transcript.pyannote[1465].end 10950.01596875
transcript.pyannote[1466].speaker SPEAKER_38
transcript.pyannote[1466].start 10950.40409375
transcript.pyannote[1466].end 10953.10409375
transcript.pyannote[1467].speaker SPEAKER_38
transcript.pyannote[1467].start 10953.69471875
transcript.pyannote[1467].end 10955.97284375
transcript.pyannote[1468].speaker SPEAKER_38
transcript.pyannote[1468].start 10956.31034375
transcript.pyannote[1468].end 10958.08221875
transcript.pyannote[1469].speaker SPEAKER_38
transcript.pyannote[1469].start 10958.57159375
transcript.pyannote[1469].end 10959.71909375
transcript.pyannote[1470].speaker SPEAKER_38
transcript.pyannote[1470].start 10960.41096875
transcript.pyannote[1470].end 10962.89159375
transcript.pyannote[1471].speaker SPEAKER_38
transcript.pyannote[1471].start 10963.14471875
transcript.pyannote[1471].end 10964.93346875
transcript.pyannote[1472].speaker SPEAKER_38
transcript.pyannote[1472].start 10966.24971875
transcript.pyannote[1472].end 10969.40534375
transcript.pyannote[1473].speaker SPEAKER_38
transcript.pyannote[1473].start 10969.96221875
transcript.pyannote[1473].end 10970.89034375
transcript.pyannote[1474].speaker SPEAKER_38
transcript.pyannote[1474].start 10971.12659375
transcript.pyannote[1474].end 10978.83846875
transcript.pyannote[1475].speaker SPEAKER_38
transcript.pyannote[1475].start 10979.39534375
transcript.pyannote[1475].end 10980.22221875
transcript.pyannote[1476].speaker SPEAKER_38
transcript.pyannote[1476].start 10981.09971875
transcript.pyannote[1476].end 10984.71096875
transcript.pyannote[1477].speaker SPEAKER_38
transcript.pyannote[1477].start 10985.18346875
transcript.pyannote[1477].end 10991.07284375
transcript.pyannote[1478].speaker SPEAKER_38
transcript.pyannote[1478].start 10991.61284375
transcript.pyannote[1478].end 10991.98409375
transcript.pyannote[1479].speaker SPEAKER_38
transcript.pyannote[1479].start 10992.81096875
transcript.pyannote[1479].end 10993.13159375
transcript.pyannote[1480].speaker SPEAKER_38
transcript.pyannote[1480].start 10993.57034375
transcript.pyannote[1480].end 10999.86471875
transcript.pyannote[1481].speaker SPEAKER_38
transcript.pyannote[1481].start 11000.21909375
transcript.pyannote[1481].end 11003.23971875
transcript.pyannote[1482].speaker SPEAKER_38
transcript.pyannote[1482].start 11003.71221875
transcript.pyannote[1482].end 11007.64409375
transcript.pyannote[1483].speaker SPEAKER_38
transcript.pyannote[1483].start 11008.43721875
transcript.pyannote[1483].end 11011.05284375
transcript.pyannote[1484].speaker SPEAKER_38
transcript.pyannote[1484].start 11011.72784375
transcript.pyannote[1484].end 11012.04846875
transcript.pyannote[1485].speaker SPEAKER_38
transcript.pyannote[1485].start 11012.26784375
transcript.pyannote[1485].end 11013.09471875
transcript.pyannote[1486].speaker SPEAKER_38
transcript.pyannote[1486].start 11013.88784375
transcript.pyannote[1486].end 11017.41471875
transcript.pyannote[1487].speaker SPEAKER_38
transcript.pyannote[1487].start 11018.12346875
transcript.pyannote[1487].end 11018.95034375
transcript.pyannote[1488].speaker SPEAKER_38
transcript.pyannote[1488].start 11019.67596875
transcript.pyannote[1488].end 11020.28346875
transcript.pyannote[1489].speaker SPEAKER_38
transcript.pyannote[1489].start 11020.85721875
transcript.pyannote[1489].end 11021.70096875
transcript.pyannote[1490].speaker SPEAKER_38
transcript.pyannote[1490].start 11022.46034375
transcript.pyannote[1490].end 11023.11846875
transcript.pyannote[1491].speaker SPEAKER_38
transcript.pyannote[1491].start 11023.18596875
transcript.pyannote[1491].end 11023.62471875
transcript.pyannote[1492].speaker SPEAKER_38
transcript.pyannote[1492].start 11024.48534375
transcript.pyannote[1492].end 11025.97034375
transcript.pyannote[1493].speaker SPEAKER_38
transcript.pyannote[1493].start 11027.06721875
transcript.pyannote[1493].end 11033.41221875
transcript.pyannote[1494].speaker SPEAKER_38
transcript.pyannote[1494].start 11034.32346875
transcript.pyannote[1494].end 11034.44159375
transcript.pyannote[1495].speaker SPEAKER_38
transcript.pyannote[1495].start 11035.90971875
transcript.pyannote[1495].end 11045.54534375
transcript.pyannote[1496].speaker SPEAKER_38
transcript.pyannote[1496].start 11045.56221875
transcript.pyannote[1496].end 11047.70534375
transcript.pyannote[1497].speaker SPEAKER_38
transcript.pyannote[1497].start 11049.34221875
transcript.pyannote[1497].end 11050.82721875
transcript.pyannote[1498].speaker SPEAKER_38
transcript.pyannote[1498].start 11051.38409375
transcript.pyannote[1498].end 11052.85221875
transcript.pyannote[1499].speaker SPEAKER_38
transcript.pyannote[1499].start 11053.52721875
transcript.pyannote[1499].end 11054.15159375
transcript.pyannote[1500].speaker SPEAKER_38
transcript.pyannote[1500].start 11056.00784375
transcript.pyannote[1500].end 11057.25659375
transcript.pyannote[1501].speaker SPEAKER_38
transcript.pyannote[1501].start 11057.98221875
transcript.pyannote[1501].end 11058.53909375
transcript.pyannote[1502].speaker SPEAKER_38
transcript.pyannote[1502].start 11058.97784375
transcript.pyannote[1502].end 11060.44596875
transcript.pyannote[1503].speaker SPEAKER_38
transcript.pyannote[1503].start 11062.31909375
transcript.pyannote[1503].end 11063.09534375
transcript.pyannote[1504].speaker SPEAKER_38
transcript.pyannote[1504].start 11063.61846875
transcript.pyannote[1504].end 11069.77784375
transcript.pyannote[1505].speaker SPEAKER_38
transcript.pyannote[1505].start 11070.70596875
transcript.pyannote[1505].end 11071.85346875
transcript.pyannote[1506].speaker SPEAKER_38
transcript.pyannote[1506].start 11072.51159375
transcript.pyannote[1506].end 11072.83221875
transcript.pyannote[1507].speaker SPEAKER_38
transcript.pyannote[1507].start 11074.31721875
transcript.pyannote[1507].end 11075.27909375
transcript.pyannote[1508].speaker SPEAKER_38
transcript.pyannote[1508].start 11075.95409375
transcript.pyannote[1508].end 11077.03409375
transcript.pyannote[1509].speaker SPEAKER_38
transcript.pyannote[1509].start 11078.21534375
transcript.pyannote[1509].end 11078.58659375
transcript.pyannote[1510].speaker SPEAKER_38
transcript.pyannote[1510].start 11080.17284375
transcript.pyannote[1510].end 11082.11346875
transcript.pyannote[1511].speaker SPEAKER_26
transcript.pyannote[1511].start 11082.55221875
transcript.pyannote[1511].end 11083.51409375
transcript.pyannote[1512].speaker SPEAKER_38
transcript.pyannote[1512].start 11083.05846875
transcript.pyannote[1512].end 11083.44659375
transcript.pyannote[1513].speaker SPEAKER_38
transcript.pyannote[1513].start 11083.98659375
transcript.pyannote[1513].end 11086.12971875
transcript.pyannote[1514].speaker SPEAKER_26
transcript.pyannote[1514].start 11085.33659375
transcript.pyannote[1514].end 11086.02846875
transcript.pyannote[1515].speaker SPEAKER_38
transcript.pyannote[1515].start 11086.58534375
transcript.pyannote[1515].end 11089.55534375
transcript.pyannote[1516].speaker SPEAKER_26
transcript.pyannote[1516].start 11086.61909375
transcript.pyannote[1516].end 11087.15909375
transcript.pyannote[1517].speaker SPEAKER_38
transcript.pyannote[1517].start 11090.09534375
transcript.pyannote[1517].end 11092.13721875
transcript.pyannote[1518].speaker SPEAKER_38
transcript.pyannote[1518].start 11092.72784375
transcript.pyannote[1518].end 11093.03159375
transcript.pyannote[1519].speaker SPEAKER_38
transcript.pyannote[1519].start 11093.50409375
transcript.pyannote[1519].end 11094.01034375
transcript.pyannote[1520].speaker SPEAKER_38
transcript.pyannote[1520].start 11094.28034375
transcript.pyannote[1520].end 11095.05659375
transcript.pyannote[1521].speaker SPEAKER_38
transcript.pyannote[1521].start 11095.57971875
transcript.pyannote[1521].end 11099.51159375
transcript.pyannote[1522].speaker SPEAKER_38
transcript.pyannote[1522].start 11100.00096875
transcript.pyannote[1522].end 11102.36346875
transcript.pyannote[1523].speaker SPEAKER_38
transcript.pyannote[1523].start 11103.20721875
transcript.pyannote[1523].end 11104.52346875
transcript.pyannote[1524].speaker SPEAKER_38
transcript.pyannote[1524].start 11105.01284375
transcript.pyannote[1524].end 11105.35034375
transcript.pyannote[1525].speaker SPEAKER_38
transcript.pyannote[1525].start 11105.63721875
transcript.pyannote[1525].end 11106.68346875
transcript.pyannote[1526].speaker SPEAKER_38
transcript.pyannote[1526].start 11108.15159375
transcript.pyannote[1526].end 11109.31596875
transcript.pyannote[1527].speaker SPEAKER_38
transcript.pyannote[1527].start 11109.80534375
transcript.pyannote[1527].end 11110.39596875
transcript.pyannote[1528].speaker SPEAKER_38
transcript.pyannote[1528].start 11110.68284375
transcript.pyannote[1528].end 11111.34096875
transcript.pyannote[1529].speaker SPEAKER_38
transcript.pyannote[1529].start 11111.89784375
transcript.pyannote[1529].end 11113.07909375
transcript.pyannote[1530].speaker SPEAKER_38
transcript.pyannote[1530].start 11113.46721875
transcript.pyannote[1530].end 11114.54721875
transcript.pyannote[1531].speaker SPEAKER_38
transcript.pyannote[1531].start 11114.98596875
transcript.pyannote[1531].end 11116.11659375
transcript.pyannote[1532].speaker SPEAKER_38
transcript.pyannote[1532].start 11117.39909375
transcript.pyannote[1532].end 11119.72784375
transcript.pyannote[1533].speaker SPEAKER_38
transcript.pyannote[1533].start 11120.36909375
transcript.pyannote[1533].end 11123.59221875
transcript.pyannote[1534].speaker SPEAKER_38
transcript.pyannote[1534].start 11124.33471875
transcript.pyannote[1534].end 11127.00096875
transcript.pyannote[1535].speaker SPEAKER_38
transcript.pyannote[1535].start 11127.60846875
transcript.pyannote[1535].end 11135.30346875
transcript.pyannote[1536].speaker SPEAKER_26
transcript.pyannote[1536].start 11131.74284375
transcript.pyannote[1536].end 11133.02534375
transcript.pyannote[1537].speaker SPEAKER_26
transcript.pyannote[1537].start 11133.37971875
transcript.pyannote[1537].end 11146.00221875
transcript.pyannote[1538].speaker SPEAKER_26
transcript.pyannote[1538].start 11146.33971875
transcript.pyannote[1538].end 11163.29909375
transcript.pyannote[1539].speaker SPEAKER_38
transcript.pyannote[1539].start 11161.83096875
transcript.pyannote[1539].end 11162.50596875
transcript.pyannote[1540].speaker SPEAKER_38
transcript.pyannote[1540].start 11163.29909375
transcript.pyannote[1540].end 11164.44659375
transcript.pyannote[1541].speaker SPEAKER_38
transcript.pyannote[1541].start 11165.72909375
transcript.pyannote[1541].end 11170.08284375
transcript.pyannote[1542].speaker SPEAKER_38
transcript.pyannote[1542].start 11170.15034375
transcript.pyannote[1542].end 11170.75784375
transcript.pyannote[1543].speaker SPEAKER_38
transcript.pyannote[1543].start 11171.97284375
transcript.pyannote[1543].end 11179.29659375
transcript.pyannote[1544].speaker SPEAKER_38
transcript.pyannote[1544].start 11179.85346875
transcript.pyannote[1544].end 11179.87034375
transcript.pyannote[1545].speaker SPEAKER_26
transcript.pyannote[1545].start 11179.87034375
transcript.pyannote[1545].end 11180.15721875
transcript.pyannote[1546].speaker SPEAKER_26
transcript.pyannote[1546].start 11180.57909375
transcript.pyannote[1546].end 11187.24471875
transcript.pyannote[1547].speaker SPEAKER_38
transcript.pyannote[1547].start 11182.68846875
transcript.pyannote[1547].end 11183.39721875
transcript.pyannote[1548].speaker SPEAKER_38
transcript.pyannote[1548].start 11186.68784375
transcript.pyannote[1548].end 11187.10971875
transcript.pyannote[1549].speaker SPEAKER_38
transcript.pyannote[1549].start 11187.24471875
transcript.pyannote[1549].end 11187.26159375
transcript.pyannote[1550].speaker SPEAKER_26
transcript.pyannote[1550].start 11187.26159375
transcript.pyannote[1550].end 11187.27846875
transcript.pyannote[1551].speaker SPEAKER_38
transcript.pyannote[1551].start 11187.27846875
transcript.pyannote[1551].end 11187.66659375
transcript.pyannote[1552].speaker SPEAKER_26
transcript.pyannote[1552].start 11187.66659375
transcript.pyannote[1552].end 11187.70034375
transcript.pyannote[1553].speaker SPEAKER_38
transcript.pyannote[1553].start 11187.70034375
transcript.pyannote[1553].end 11187.73409375
transcript.pyannote[1554].speaker SPEAKER_38
transcript.pyannote[1554].start 11188.56096875
transcript.pyannote[1554].end 11189.48909375
transcript.pyannote[1555].speaker SPEAKER_26
transcript.pyannote[1555].start 11189.48909375
transcript.pyannote[1555].end 11189.50596875
transcript.pyannote[1556].speaker SPEAKER_26
transcript.pyannote[1556].start 11189.94471875
transcript.pyannote[1556].end 11195.76659375
transcript.pyannote[1557].speaker SPEAKER_38
transcript.pyannote[1557].start 11194.68659375
transcript.pyannote[1557].end 11196.01971875
transcript.pyannote[1558].speaker SPEAKER_26
transcript.pyannote[1558].start 11196.01971875
transcript.pyannote[1558].end 11197.79159375
transcript.pyannote[1559].speaker SPEAKER_38
transcript.pyannote[1559].start 11196.55971875
transcript.pyannote[1559].end 11203.42784375
transcript.pyannote[1560].speaker SPEAKER_26
transcript.pyannote[1560].start 11201.45346875
transcript.pyannote[1560].end 11204.92971875
transcript.pyannote[1561].speaker SPEAKER_38
transcript.pyannote[1561].start 11204.06909375
transcript.pyannote[1561].end 11205.09846875
transcript.pyannote[1562].speaker SPEAKER_26
transcript.pyannote[1562].start 11205.09846875
transcript.pyannote[1562].end 11205.11534375
transcript.pyannote[1563].speaker SPEAKER_38
transcript.pyannote[1563].start 11205.11534375
transcript.pyannote[1563].end 11205.16596875
transcript.pyannote[1564].speaker SPEAKER_26
transcript.pyannote[1564].start 11205.36846875
transcript.pyannote[1564].end 11206.14471875
transcript.pyannote[1565].speaker SPEAKER_26
transcript.pyannote[1565].start 11206.19534375
transcript.pyannote[1565].end 11206.78596875
transcript.pyannote[1566].speaker SPEAKER_38
transcript.pyannote[1566].start 11207.95034375
transcript.pyannote[1566].end 11210.38034375
transcript.pyannote[1567].speaker SPEAKER_26
transcript.pyannote[1567].start 11210.46471875
transcript.pyannote[1567].end 11211.07221875
transcript.pyannote[1568].speaker SPEAKER_26
transcript.pyannote[1568].start 11211.27471875
transcript.pyannote[1568].end 11214.56534375
transcript.pyannote[1569].speaker SPEAKER_38
transcript.pyannote[1569].start 11214.14346875
transcript.pyannote[1569].end 11215.12221875
transcript.pyannote[1570].speaker SPEAKER_38
transcript.pyannote[1570].start 11215.74659375
transcript.pyannote[1570].end 11217.61971875
transcript.pyannote[1571].speaker SPEAKER_38
transcript.pyannote[1571].start 11217.82221875
transcript.pyannote[1571].end 11218.17659375
transcript.pyannote[1572].speaker SPEAKER_38
transcript.pyannote[1572].start 11218.53096875
transcript.pyannote[1572].end 11219.57721875
transcript.pyannote[1573].speaker SPEAKER_38
transcript.pyannote[1573].start 11220.64034375
transcript.pyannote[1573].end 11225.11221875
transcript.pyannote[1574].speaker SPEAKER_38
transcript.pyannote[1574].start 11226.09096875
transcript.pyannote[1574].end 11226.71534375
transcript.pyannote[1575].speaker SPEAKER_38
transcript.pyannote[1575].start 11227.18784375
transcript.pyannote[1575].end 11231.06909375
transcript.pyannote[1576].speaker SPEAKER_26
transcript.pyannote[1576].start 11231.74409375
transcript.pyannote[1576].end 11236.63784375
transcript.pyannote[1577].speaker SPEAKER_38
transcript.pyannote[1577].start 11232.53721875
transcript.pyannote[1577].end 11232.68909375
transcript.pyannote[1578].speaker SPEAKER_38
transcript.pyannote[1578].start 11235.11909375
transcript.pyannote[1578].end 11241.91971875
transcript.pyannote[1579].speaker SPEAKER_26
transcript.pyannote[1579].start 11237.93721875
transcript.pyannote[1579].end 11239.40534375
transcript.pyannote[1580].speaker SPEAKER_26
transcript.pyannote[1580].start 11240.58659375
transcript.pyannote[1580].end 11248.80471875
transcript.pyannote[1581].speaker SPEAKER_38
transcript.pyannote[1581].start 11247.55596875
transcript.pyannote[1581].end 11250.74534375
transcript.pyannote[1582].speaker SPEAKER_38
transcript.pyannote[1582].start 11251.04909375
transcript.pyannote[1582].end 11253.04034375
transcript.pyannote[1583].speaker SPEAKER_38
transcript.pyannote[1583].start 11253.49596875
transcript.pyannote[1583].end 11254.47471875
transcript.pyannote[1584].speaker SPEAKER_38
transcript.pyannote[1584].start 11255.21721875
transcript.pyannote[1584].end 11259.63846875
transcript.pyannote[1585].speaker SPEAKER_26
transcript.pyannote[1585].start 11259.11534375
transcript.pyannote[1585].end 11259.45284375
transcript.pyannote[1586].speaker SPEAKER_38
transcript.pyannote[1586].start 11259.87471875
transcript.pyannote[1586].end 11262.38909375
transcript.pyannote[1587].speaker SPEAKER_10
transcript.pyannote[1587].start 11262.92909375
transcript.pyannote[1587].end 11266.28721875
transcript.pyannote[1588].speaker SPEAKER_10
transcript.pyannote[1588].start 11266.42221875
transcript.pyannote[1588].end 11269.22346875
transcript.pyannote[1589].speaker SPEAKER_10
transcript.pyannote[1589].start 11269.35846875
transcript.pyannote[1589].end 11270.15159375
transcript.pyannote[1590].speaker SPEAKER_11
transcript.pyannote[1590].start 11270.15159375
transcript.pyannote[1590].end 11270.16846875
transcript.pyannote[1591].speaker SPEAKER_10
transcript.pyannote[1591].start 11275.99034375
transcript.pyannote[1591].end 11277.79596875
transcript.pyannote[1592].speaker SPEAKER_10
transcript.pyannote[1592].start 11277.88034375
transcript.pyannote[1592].end 11278.90971875
transcript.pyannote[1593].speaker SPEAKER_08
transcript.pyannote[1593].start 11280.91784375
transcript.pyannote[1593].end 11281.71096875
transcript.pyannote[1594].speaker SPEAKER_28
transcript.pyannote[1594].start 11285.71034375
transcript.pyannote[1594].end 11286.40221875
transcript.pyannote[1595].speaker SPEAKER_17
transcript.pyannote[1595].start 11286.40221875
transcript.pyannote[1595].end 11314.61721875
transcript.pyannote[1596].speaker SPEAKER_08
transcript.pyannote[1596].start 11289.10221875
transcript.pyannote[1596].end 11289.11909375
transcript.pyannote[1597].speaker SPEAKER_28
transcript.pyannote[1597].start 11289.11909375
transcript.pyannote[1597].end 11289.65909375
transcript.pyannote[1598].speaker SPEAKER_17
transcript.pyannote[1598].start 11314.80284375
transcript.pyannote[1598].end 11315.29221875
transcript.pyannote[1599].speaker SPEAKER_17
transcript.pyannote[1599].start 11315.59596875
transcript.pyannote[1599].end 11416.89659375
transcript.pyannote[1600].speaker SPEAKER_17
transcript.pyannote[1600].start 11417.45346875
transcript.pyannote[1600].end 11422.54971875
transcript.pyannote[1601].speaker SPEAKER_17
transcript.pyannote[1601].start 11422.87034375
transcript.pyannote[1601].end 11427.57846875
transcript.pyannote[1602].speaker SPEAKER_17
transcript.pyannote[1602].start 11428.06784375
transcript.pyannote[1602].end 11432.20221875
transcript.pyannote[1603].speaker SPEAKER_17
transcript.pyannote[1603].start 11432.64096875
transcript.pyannote[1603].end 11436.30284375
transcript.pyannote[1604].speaker SPEAKER_17
transcript.pyannote[1604].start 11436.80909375
transcript.pyannote[1604].end 11438.36159375
transcript.pyannote[1605].speaker SPEAKER_17
transcript.pyannote[1605].start 11438.53034375
transcript.pyannote[1605].end 11442.52971875
transcript.pyannote[1606].speaker SPEAKER_17
transcript.pyannote[1606].start 11442.73221875
transcript.pyannote[1606].end 11449.22909375
transcript.pyannote[1607].speaker SPEAKER_17
transcript.pyannote[1607].start 11449.78596875
transcript.pyannote[1607].end 11535.64596875
transcript.pyannote[1608].speaker SPEAKER_17
transcript.pyannote[1608].start 11536.43909375
transcript.pyannote[1608].end 11539.07159375
transcript.pyannote[1609].speaker SPEAKER_17
transcript.pyannote[1609].start 11539.37534375
transcript.pyannote[1609].end 11557.29659375
transcript.pyannote[1610].speaker SPEAKER_17
transcript.pyannote[1610].start 11557.87034375
transcript.pyannote[1610].end 11564.21534375
transcript.pyannote[1611].speaker SPEAKER_28
transcript.pyannote[1611].start 11566.49346875
transcript.pyannote[1611].end 11571.82596875
transcript.pyannote[1612].speaker SPEAKER_28
transcript.pyannote[1612].start 11572.23096875
transcript.pyannote[1612].end 11572.60221875
transcript.pyannote[1613].speaker SPEAKER_28
transcript.pyannote[1613].start 11572.88909375
transcript.pyannote[1613].end 11582.77784375
transcript.pyannote[1614].speaker SPEAKER_17
transcript.pyannote[1614].start 11582.00159375
transcript.pyannote[1614].end 11584.80284375
transcript.pyannote[1615].speaker SPEAKER_28
transcript.pyannote[1615].start 11583.95909375
transcript.pyannote[1615].end 11621.53971875
transcript.pyannote[1616].speaker SPEAKER_17
transcript.pyannote[1616].start 11585.59596875
transcript.pyannote[1616].end 11586.30471875
transcript.pyannote[1617].speaker SPEAKER_17
transcript.pyannote[1617].start 11586.72659375
transcript.pyannote[1617].end 11587.11471875
transcript.pyannote[1618].speaker SPEAKER_32
transcript.pyannote[1618].start 11593.18971875
transcript.pyannote[1618].end 11595.02909375
transcript.pyannote[1619].speaker SPEAKER_00
transcript.pyannote[1619].start 11595.02909375
transcript.pyannote[1619].end 11595.04596875
transcript.pyannote[1620].speaker SPEAKER_08
transcript.pyannote[1620].start 11604.27659375
transcript.pyannote[1620].end 11604.63096875
transcript.pyannote[1621].speaker SPEAKER_17
transcript.pyannote[1621].start 11620.08846875
transcript.pyannote[1621].end 11625.74159375
transcript.pyannote[1622].speaker SPEAKER_17
transcript.pyannote[1622].start 11626.26471875
transcript.pyannote[1622].end 11630.87159375
transcript.pyannote[1623].speaker SPEAKER_28
transcript.pyannote[1623].start 11631.20909375
transcript.pyannote[1623].end 11643.76409375
transcript.pyannote[1624].speaker SPEAKER_17
transcript.pyannote[1624].start 11632.86284375
transcript.pyannote[1624].end 11633.89221875
transcript.pyannote[1625].speaker SPEAKER_17
transcript.pyannote[1625].start 11633.99346875
transcript.pyannote[1625].end 11635.78221875
transcript.pyannote[1626].speaker SPEAKER_17
transcript.pyannote[1626].start 11638.98846875
transcript.pyannote[1626].end 11639.39346875
transcript.pyannote[1627].speaker SPEAKER_17
transcript.pyannote[1627].start 11640.13596875
transcript.pyannote[1627].end 11653.83846875
transcript.pyannote[1628].speaker SPEAKER_17
transcript.pyannote[1628].start 11654.53034375
transcript.pyannote[1628].end 11655.99846875
transcript.pyannote[1629].speaker SPEAKER_12
transcript.pyannote[1629].start 11657.02784375
transcript.pyannote[1629].end 11667.22034375
transcript.pyannote[1630].speaker SPEAKER_12
transcript.pyannote[1630].start 11668.06409375
transcript.pyannote[1630].end 11679.64034375
transcript.pyannote[1631].speaker SPEAKER_12
transcript.pyannote[1631].start 11680.12971875
transcript.pyannote[1631].end 11685.69846875
transcript.pyannote[1632].speaker SPEAKER_12
transcript.pyannote[1632].start 11686.28909375
transcript.pyannote[1632].end 11686.76159375
transcript.pyannote[1633].speaker SPEAKER_12
transcript.pyannote[1633].start 11686.93034375
transcript.pyannote[1633].end 11691.85784375
transcript.pyannote[1634].speaker SPEAKER_12
transcript.pyannote[1634].start 11692.33034375
transcript.pyannote[1634].end 11694.87846875
transcript.pyannote[1635].speaker SPEAKER_39
transcript.pyannote[1635].start 11692.90409375
transcript.pyannote[1635].end 11694.05159375
transcript.pyannote[1636].speaker SPEAKER_12
transcript.pyannote[1636].start 11695.26659375
transcript.pyannote[1636].end 11701.17284375
transcript.pyannote[1637].speaker SPEAKER_17
transcript.pyannote[1637].start 11700.93659375
transcript.pyannote[1637].end 11707.24784375
transcript.pyannote[1638].speaker SPEAKER_17
transcript.pyannote[1638].start 11707.90596875
transcript.pyannote[1638].end 11714.31846875
transcript.pyannote[1639].speaker SPEAKER_12
transcript.pyannote[1639].start 11713.98096875
transcript.pyannote[1639].end 11715.01034375
transcript.pyannote[1640].speaker SPEAKER_17
transcript.pyannote[1640].start 11714.33534375
transcript.pyannote[1640].end 11714.36909375
transcript.pyannote[1641].speaker SPEAKER_17
transcript.pyannote[1641].start 11714.38596875
transcript.pyannote[1641].end 11715.46596875
transcript.pyannote[1642].speaker SPEAKER_12
transcript.pyannote[1642].start 11715.46596875
transcript.pyannote[1642].end 11724.89909375
transcript.pyannote[1643].speaker SPEAKER_17
transcript.pyannote[1643].start 11723.80221875
transcript.pyannote[1643].end 11734.87221875
transcript.pyannote[1644].speaker SPEAKER_12
transcript.pyannote[1644].start 11726.19846875
transcript.pyannote[1644].end 11727.24471875
transcript.pyannote[1645].speaker SPEAKER_32
transcript.pyannote[1645].start 11733.10034375
transcript.pyannote[1645].end 11733.11721875
transcript.pyannote[1646].speaker SPEAKER_32
transcript.pyannote[1646].start 11734.06221875
transcript.pyannote[1646].end 11734.41659375
transcript.pyannote[1647].speaker SPEAKER_32
transcript.pyannote[1647].start 11734.66971875
transcript.pyannote[1647].end 11735.10846875
transcript.pyannote[1648].speaker SPEAKER_17
transcript.pyannote[1648].start 11734.99034375
transcript.pyannote[1648].end 11742.11159375
transcript.pyannote[1649].speaker SPEAKER_12
transcript.pyannote[1649].start 11741.62221875
transcript.pyannote[1649].end 11750.46471875
transcript.pyannote[1650].speaker SPEAKER_17
transcript.pyannote[1650].start 11744.69346875
transcript.pyannote[1650].end 11745.13221875
transcript.pyannote[1651].speaker SPEAKER_17
transcript.pyannote[1651].start 11748.76034375
transcript.pyannote[1651].end 11749.26659375
transcript.pyannote[1652].speaker SPEAKER_17
transcript.pyannote[1652].start 11750.12721875
transcript.pyannote[1652].end 11771.49096875
transcript.pyannote[1653].speaker SPEAKER_32
transcript.pyannote[1653].start 11763.13784375
transcript.pyannote[1653].end 11763.86346875
transcript.pyannote[1654].speaker SPEAKER_17
transcript.pyannote[1654].start 11771.86221875
transcript.pyannote[1654].end 11772.87471875
transcript.pyannote[1655].speaker SPEAKER_12
transcript.pyannote[1655].start 11773.06034375
transcript.pyannote[1655].end 11784.16409375
transcript.pyannote[1656].speaker SPEAKER_12
transcript.pyannote[1656].start 11784.87284375
transcript.pyannote[1656].end 11791.77471875
transcript.pyannote[1657].speaker SPEAKER_17
transcript.pyannote[1657].start 11790.44159375
transcript.pyannote[1657].end 11798.22096875
transcript.pyannote[1658].speaker SPEAKER_12
transcript.pyannote[1658].start 11792.31471875
transcript.pyannote[1658].end 11792.97284375
transcript.pyannote[1659].speaker SPEAKER_12
transcript.pyannote[1659].start 11796.65159375
transcript.pyannote[1659].end 11820.78284375
transcript.pyannote[1660].speaker SPEAKER_17
transcript.pyannote[1660].start 11820.59721875
transcript.pyannote[1660].end 11824.22534375
transcript.pyannote[1661].speaker SPEAKER_12
transcript.pyannote[1661].start 11821.45784375
transcript.pyannote[1661].end 11821.86284375
transcript.pyannote[1662].speaker SPEAKER_17
transcript.pyannote[1662].start 11824.44471875
transcript.pyannote[1662].end 11828.46096875
transcript.pyannote[1663].speaker SPEAKER_17
transcript.pyannote[1663].start 11828.73096875
transcript.pyannote[1663].end 11834.28284375
transcript.pyannote[1664].speaker SPEAKER_10
transcript.pyannote[1664].start 11834.48534375
transcript.pyannote[1664].end 11840.05409375
transcript.pyannote[1665].speaker SPEAKER_11
transcript.pyannote[1665].start 11854.09409375
transcript.pyannote[1665].end 11854.63409375
transcript.pyannote[1666].speaker SPEAKER_32
transcript.pyannote[1666].start 11860.96221875
transcript.pyannote[1666].end 11863.91534375
transcript.pyannote[1667].speaker SPEAKER_32
transcript.pyannote[1667].start 11863.96596875
transcript.pyannote[1667].end 11864.06721875
transcript.pyannote[1668].speaker SPEAKER_32
transcript.pyannote[1668].start 11864.35409375
transcript.pyannote[1668].end 11864.47221875
transcript.pyannote[1669].speaker SPEAKER_32
transcript.pyannote[1669].start 11864.97846875
transcript.pyannote[1669].end 11865.02909375
transcript.pyannote[1670].speaker SPEAKER_32
transcript.pyannote[1670].start 11865.65346875
transcript.pyannote[1670].end 11867.03721875
transcript.pyannote[1671].speaker SPEAKER_20
transcript.pyannote[1671].start 11868.04971875
transcript.pyannote[1671].end 11868.11721875
transcript.pyannote[1672].speaker SPEAKER_32
transcript.pyannote[1672].start 11868.11721875
transcript.pyannote[1672].end 11868.28596875
transcript.pyannote[1673].speaker SPEAKER_20
transcript.pyannote[1673].start 11868.28596875
transcript.pyannote[1673].end 11868.30284375
transcript.pyannote[1674].speaker SPEAKER_32
transcript.pyannote[1674].start 11868.30284375
transcript.pyannote[1674].end 11868.45471875
transcript.pyannote[1675].speaker SPEAKER_20
transcript.pyannote[1675].start 11868.45471875
transcript.pyannote[1675].end 11868.52221875
transcript.pyannote[1676].speaker SPEAKER_32
transcript.pyannote[1676].start 11868.52221875
transcript.pyannote[1676].end 11868.60659375
transcript.pyannote[1677].speaker SPEAKER_20
transcript.pyannote[1677].start 11868.60659375
transcript.pyannote[1677].end 11869.02846875
transcript.pyannote[1678].speaker SPEAKER_04
transcript.pyannote[1678].start 11902.35659375
transcript.pyannote[1678].end 11904.93846875
transcript.pyannote[1679].speaker SPEAKER_04
transcript.pyannote[1679].start 11905.78221875
transcript.pyannote[1679].end 11906.22096875
transcript.pyannote[1680].speaker SPEAKER_33
transcript.pyannote[1680].start 11928.69846875
transcript.pyannote[1680].end 11934.03096875
transcript.pyannote[1681].speaker SPEAKER_26
transcript.pyannote[1681].start 11934.03096875
transcript.pyannote[1681].end 11935.83659375
transcript.pyannote[1682].speaker SPEAKER_34
transcript.pyannote[1682].start 11935.83659375
transcript.pyannote[1682].end 11936.02221875
transcript.pyannote[1683].speaker SPEAKER_26
transcript.pyannote[1683].start 11936.08971875
transcript.pyannote[1683].end 11937.96284375
transcript.pyannote[1684].speaker SPEAKER_34
transcript.pyannote[1684].start 11937.96284375
transcript.pyannote[1684].end 11939.97096875
transcript.pyannote[1685].speaker SPEAKER_26
transcript.pyannote[1685].start 11939.97096875
transcript.pyannote[1685].end 11940.61221875
transcript.pyannote[1686].speaker SPEAKER_34
transcript.pyannote[1686].start 11940.61221875
transcript.pyannote[1686].end 11944.54409375
transcript.pyannote[1687].speaker SPEAKER_04
transcript.pyannote[1687].start 11946.07971875
transcript.pyannote[1687].end 11946.11346875
transcript.pyannote[1688].speaker SPEAKER_04
transcript.pyannote[1688].start 11946.19784375
transcript.pyannote[1688].end 11946.29909375
transcript.pyannote[1689].speaker SPEAKER_04
transcript.pyannote[1689].start 11946.38346875
transcript.pyannote[1689].end 11948.71221875
transcript.pyannote[1690].speaker SPEAKER_32
transcript.pyannote[1690].start 11948.71221875
transcript.pyannote[1690].end 11949.74159375
transcript.pyannote[1691].speaker SPEAKER_04
transcript.pyannote[1691].start 11949.74159375
transcript.pyannote[1691].end 11950.46721875
transcript.pyannote[1692].speaker SPEAKER_32
transcript.pyannote[1692].start 11950.46721875
transcript.pyannote[1692].end 11950.50096875
transcript.pyannote[1693].speaker SPEAKER_04
transcript.pyannote[1693].start 11950.50096875
transcript.pyannote[1693].end 11950.58534375
transcript.pyannote[1694].speaker SPEAKER_33
transcript.pyannote[1694].start 11971.96596875
transcript.pyannote[1694].end 11972.03346875
transcript.pyannote[1695].speaker SPEAKER_33
transcript.pyannote[1695].start 11972.35409375
transcript.pyannote[1695].end 11973.02909375
transcript.pyannote[1696].speaker SPEAKER_08
transcript.pyannote[1696].start 11988.31784375
transcript.pyannote[1696].end 11988.55409375
transcript.pyannote[1697].speaker SPEAKER_08
transcript.pyannote[1697].start 11988.97596875
transcript.pyannote[1697].end 11989.44846875
transcript.pyannote[1698].speaker SPEAKER_08
transcript.pyannote[1698].start 11989.97159375
transcript.pyannote[1698].end 11990.03909375
transcript.pyannote[1699].speaker SPEAKER_08
transcript.pyannote[1699].start 11990.96721875
transcript.pyannote[1699].end 11991.03471875
transcript.pyannote[1700].speaker SPEAKER_04
transcript.pyannote[1700].start 11993.29596875
transcript.pyannote[1700].end 11993.66721875
transcript.pyannote[1701].speaker SPEAKER_04
transcript.pyannote[1701].start 11993.85284375
transcript.pyannote[1701].end 11995.45596875
transcript.pyannote[1702].speaker SPEAKER_04
transcript.pyannote[1702].start 11995.60784375
transcript.pyannote[1702].end 11996.72159375
transcript.pyannote[1703].speaker SPEAKER_04
transcript.pyannote[1703].start 11997.14346875
transcript.pyannote[1703].end 12005.96909375
transcript.pyannote[1704].speaker SPEAKER_33
transcript.pyannote[1704].start 12005.96909375
transcript.pyannote[1704].end 12006.72846875
transcript.pyannote[1705].speaker SPEAKER_04
transcript.pyannote[1705].start 12006.72846875
transcript.pyannote[1705].end 12008.29784375
transcript.pyannote[1706].speaker SPEAKER_33
transcript.pyannote[1706].start 12006.84659375
transcript.pyannote[1706].end 12006.96471875
transcript.pyannote[1707].speaker SPEAKER_32
transcript.pyannote[1707].start 12006.96471875
transcript.pyannote[1707].end 12008.39909375
transcript.pyannote[1708].speaker SPEAKER_04
transcript.pyannote[1708].start 12008.39909375
transcript.pyannote[1708].end 12008.53409375
transcript.pyannote[1709].speaker SPEAKER_04
transcript.pyannote[1709].start 12074.32971875
transcript.pyannote[1709].end 12076.20284375
transcript.pyannote[1710].speaker SPEAKER_33
transcript.pyannote[1710].start 12109.09221875
transcript.pyannote[1710].end 12109.71659375
transcript.pyannote[1711].speaker SPEAKER_33
transcript.pyannote[1711].start 12109.96971875
transcript.pyannote[1711].end 12110.03721875
transcript.pyannote[1712].speaker SPEAKER_01
transcript.pyannote[1712].start 12110.96534375
transcript.pyannote[1712].end 12111.82596875
transcript.pyannote[1713].speaker SPEAKER_11
transcript.pyannote[1713].start 12154.80659375
transcript.pyannote[1713].end 12155.04284375
transcript.pyannote[1714].speaker SPEAKER_02
transcript.pyannote[1714].start 12166.21409375
transcript.pyannote[1714].end 12166.97346875
transcript.pyannote[1715].speaker SPEAKER_38
transcript.pyannote[1715].start 12190.71659375
transcript.pyannote[1715].end 12191.22284375
transcript.pyannote[1716].speaker SPEAKER_33
transcript.pyannote[1716].start 12390.02721875
transcript.pyannote[1716].end 12390.22971875
transcript.pyannote[1717].speaker SPEAKER_04
transcript.pyannote[1717].start 12412.03221875
transcript.pyannote[1717].end 12412.40346875
transcript.pyannote[1718].speaker SPEAKER_33
transcript.pyannote[1718].start 12444.97221875
transcript.pyannote[1718].end 12445.02284375
transcript.pyannote[1719].speaker SPEAKER_33
transcript.pyannote[1719].start 12448.39784375
transcript.pyannote[1719].end 12451.90784375
transcript.pyannote[1720].speaker SPEAKER_33
transcript.pyannote[1720].start 12454.91159375
transcript.pyannote[1720].end 12462.06659375
transcript.pyannote[1721].speaker SPEAKER_32
transcript.pyannote[1721].start 12460.27784375
transcript.pyannote[1721].end 12460.80096875
transcript.pyannote[1722].speaker SPEAKER_33
transcript.pyannote[1722].start 12462.13409375
transcript.pyannote[1722].end 12463.28159375
transcript.pyannote[1723].speaker SPEAKER_32
transcript.pyannote[1723].start 12462.77534375
transcript.pyannote[1723].end 12462.97784375
transcript.pyannote[1724].speaker SPEAKER_33
transcript.pyannote[1724].start 12463.41659375
transcript.pyannote[1724].end 12469.03596875
transcript.pyannote[1725].speaker SPEAKER_04
transcript.pyannote[1725].start 12465.82971875
transcript.pyannote[1725].end 12467.93909375
transcript.pyannote[1726].speaker SPEAKER_33
transcript.pyannote[1726].start 12469.37346875
transcript.pyannote[1726].end 12470.03159375
transcript.pyannote[1727].speaker SPEAKER_33
transcript.pyannote[1727].start 12501.53721875
transcript.pyannote[1727].end 12502.95471875
transcript.pyannote[1728].speaker SPEAKER_36
transcript.pyannote[1728].start 12523.28909375
transcript.pyannote[1728].end 12524.89221875
transcript.pyannote[1729].speaker SPEAKER_10
transcript.pyannote[1729].start 12532.40159375
transcript.pyannote[1729].end 12534.46034375
transcript.pyannote[1730].speaker SPEAKER_10
transcript.pyannote[1730].start 12535.01721875
transcript.pyannote[1730].end 12538.29096875
transcript.pyannote[1731].speaker SPEAKER_10
transcript.pyannote[1731].start 12538.66221875
transcript.pyannote[1731].end 12542.39159375
transcript.pyannote[1732].speaker SPEAKER_10
transcript.pyannote[1732].start 12542.79659375
transcript.pyannote[1732].end 12545.09159375
transcript.pyannote[1733].speaker SPEAKER_10
transcript.pyannote[1733].start 12545.44596875
transcript.pyannote[1733].end 12550.33971875
transcript.pyannote[1734].speaker SPEAKER_10
transcript.pyannote[1734].start 12550.69409375
transcript.pyannote[1734].end 12551.89221875
transcript.pyannote[1735].speaker SPEAKER_10
transcript.pyannote[1735].start 12553.44471875
transcript.pyannote[1735].end 12555.33471875
transcript.pyannote[1736].speaker SPEAKER_36
transcript.pyannote[1736].start 12556.34721875
transcript.pyannote[1736].end 12561.56159375
transcript.pyannote[1737].speaker SPEAKER_10
transcript.pyannote[1737].start 12561.78096875
transcript.pyannote[1737].end 12563.41784375
transcript.pyannote[1738].speaker SPEAKER_10
transcript.pyannote[1738].start 12563.77221875
transcript.pyannote[1738].end 12564.26159375
transcript.pyannote[1739].speaker SPEAKER_36
transcript.pyannote[1739].start 12565.07159375
transcript.pyannote[1739].end 12565.42596875
transcript.pyannote[1740].speaker SPEAKER_36
transcript.pyannote[1740].start 12566.53971875
transcript.pyannote[1740].end 12600.64409375
transcript.pyannote[1741].speaker SPEAKER_00
transcript.pyannote[1741].start 12582.36846875
transcript.pyannote[1741].end 12582.45284375
transcript.pyannote[1742].speaker SPEAKER_36
transcript.pyannote[1742].start 12600.67784375
transcript.pyannote[1742].end 12611.68034375
transcript.pyannote[1743].speaker SPEAKER_36
transcript.pyannote[1743].start 12612.89534375
transcript.pyannote[1743].end 12613.68846875
transcript.pyannote[1744].speaker SPEAKER_36
transcript.pyannote[1744].start 12614.00909375
transcript.pyannote[1744].end 12621.56909375
transcript.pyannote[1745].speaker SPEAKER_36
transcript.pyannote[1745].start 12621.99096875
transcript.pyannote[1745].end 12628.85909375
transcript.pyannote[1746].speaker SPEAKER_36
transcript.pyannote[1746].start 12629.46659375
transcript.pyannote[1746].end 12630.32721875
transcript.pyannote[1747].speaker SPEAKER_36
transcript.pyannote[1747].start 12630.90096875
transcript.pyannote[1747].end 12670.03409375
transcript.pyannote[1748].speaker SPEAKER_36
transcript.pyannote[1748].start 12670.23659375
transcript.pyannote[1748].end 12749.19471875
transcript.pyannote[1749].speaker SPEAKER_36
transcript.pyannote[1749].start 12749.66721875
transcript.pyannote[1749].end 12753.56534375
transcript.pyannote[1750].speaker SPEAKER_23
transcript.pyannote[1750].start 12754.93221875
transcript.pyannote[1750].end 12755.62409375
transcript.pyannote[1751].speaker SPEAKER_23
transcript.pyannote[1751].start 12756.23159375
transcript.pyannote[1751].end 12763.31909375
transcript.pyannote[1752].speaker SPEAKER_23
transcript.pyannote[1752].start 12763.82534375
transcript.pyannote[1752].end 12767.68971875
transcript.pyannote[1753].speaker SPEAKER_23
transcript.pyannote[1753].start 12768.12846875
transcript.pyannote[1753].end 12772.48221875
transcript.pyannote[1754].speaker SPEAKER_23
transcript.pyannote[1754].start 12772.76909375
transcript.pyannote[1754].end 12773.62971875
transcript.pyannote[1755].speaker SPEAKER_23
transcript.pyannote[1755].start 12774.08534375
transcript.pyannote[1755].end 12776.73471875
transcript.pyannote[1756].speaker SPEAKER_23
transcript.pyannote[1756].start 12777.30846875
transcript.pyannote[1756].end 12780.81846875
transcript.pyannote[1757].speaker SPEAKER_00
transcript.pyannote[1757].start 12779.80596875
transcript.pyannote[1757].end 12780.21096875
transcript.pyannote[1758].speaker SPEAKER_23
transcript.pyannote[1758].start 12781.07159375
transcript.pyannote[1758].end 12792.04034375
transcript.pyannote[1759].speaker SPEAKER_36
transcript.pyannote[1759].start 12786.70784375
transcript.pyannote[1759].end 12787.21409375
transcript.pyannote[1760].speaker SPEAKER_36
transcript.pyannote[1760].start 12787.70346875
transcript.pyannote[1760].end 12797.13659375
transcript.pyannote[1761].speaker SPEAKER_23
transcript.pyannote[1761].start 12797.37284375
transcript.pyannote[1761].end 12806.29971875
transcript.pyannote[1762].speaker SPEAKER_36
transcript.pyannote[1762].start 12804.20721875
transcript.pyannote[1762].end 12835.94909375
transcript.pyannote[1763].speaker SPEAKER_36
transcript.pyannote[1763].start 12836.10096875
transcript.pyannote[1763].end 12840.75846875
transcript.pyannote[1764].speaker SPEAKER_36
transcript.pyannote[1764].start 12841.11284375
transcript.pyannote[1764].end 12854.42721875
transcript.pyannote[1765].speaker SPEAKER_36
transcript.pyannote[1765].start 12855.18659375
transcript.pyannote[1765].end 12878.03534375
transcript.pyannote[1766].speaker SPEAKER_36
transcript.pyannote[1766].start 12878.33909375
transcript.pyannote[1766].end 12900.41159375
transcript.pyannote[1767].speaker SPEAKER_36
transcript.pyannote[1767].start 12900.91784375
transcript.pyannote[1767].end 12908.96721875
transcript.pyannote[1768].speaker SPEAKER_36
transcript.pyannote[1768].start 12909.10221875
transcript.pyannote[1768].end 12911.86971875
transcript.pyannote[1769].speaker SPEAKER_36
transcript.pyannote[1769].start 12911.95409375
transcript.pyannote[1769].end 12915.49784375
transcript.pyannote[1770].speaker SPEAKER_36
transcript.pyannote[1770].start 12915.95346875
transcript.pyannote[1770].end 12922.90596875
transcript.pyannote[1771].speaker SPEAKER_36
transcript.pyannote[1771].start 12923.68221875
transcript.pyannote[1771].end 12928.39034375
transcript.pyannote[1772].speaker SPEAKER_38
transcript.pyannote[1772].start 12924.10409375
transcript.pyannote[1772].end 12924.32346875
transcript.pyannote[1773].speaker SPEAKER_36
transcript.pyannote[1773].start 12928.98096875
transcript.pyannote[1773].end 12933.03096875
transcript.pyannote[1774].speaker SPEAKER_36
transcript.pyannote[1774].start 12933.73971875
transcript.pyannote[1774].end 12934.36409375
transcript.pyannote[1775].speaker SPEAKER_36
transcript.pyannote[1775].start 12934.87034375
transcript.pyannote[1775].end 12936.27096875
transcript.pyannote[1776].speaker SPEAKER_26
transcript.pyannote[1776].start 12936.27096875
transcript.pyannote[1776].end 12937.21596875
transcript.pyannote[1777].speaker SPEAKER_36
transcript.pyannote[1777].start 12936.30471875
transcript.pyannote[1777].end 12936.32159375
transcript.pyannote[1778].speaker SPEAKER_32
transcript.pyannote[1778].start 12936.32159375
transcript.pyannote[1778].end 12937.85721875
transcript.pyannote[1779].speaker SPEAKER_26
transcript.pyannote[1779].start 12937.92471875
transcript.pyannote[1779].end 12972.75471875
transcript.pyannote[1780].speaker SPEAKER_26
transcript.pyannote[1780].start 12973.17659375
transcript.pyannote[1780].end 12995.02971875
transcript.pyannote[1781].speaker SPEAKER_36
transcript.pyannote[1781].start 12995.02971875
transcript.pyannote[1781].end 13017.86159375
transcript.pyannote[1782].speaker SPEAKER_00
transcript.pyannote[1782].start 13002.16784375
transcript.pyannote[1782].end 13002.30284375
transcript.pyannote[1783].speaker SPEAKER_10
transcript.pyannote[1783].start 13002.30284375
transcript.pyannote[1783].end 13002.48846875
transcript.pyannote[1784].speaker SPEAKER_00
transcript.pyannote[1784].start 13002.48846875
transcript.pyannote[1784].end 13002.58971875
transcript.pyannote[1785].speaker SPEAKER_36
transcript.pyannote[1785].start 13018.19909375
transcript.pyannote[1785].end 13029.04971875
transcript.pyannote[1786].speaker SPEAKER_36
transcript.pyannote[1786].start 13030.01159375
transcript.pyannote[1786].end 13031.44596875
transcript.pyannote[1787].speaker SPEAKER_36
transcript.pyannote[1787].start 13032.22221875
transcript.pyannote[1787].end 13032.59346875
transcript.pyannote[1788].speaker SPEAKER_36
transcript.pyannote[1788].start 13032.64409375
transcript.pyannote[1788].end 13037.74034375
transcript.pyannote[1789].speaker SPEAKER_36
transcript.pyannote[1789].start 13038.53346875
transcript.pyannote[1789].end 13043.29221875
transcript.pyannote[1790].speaker SPEAKER_36
transcript.pyannote[1790].start 13043.64659375
transcript.pyannote[1790].end 13048.89471875
transcript.pyannote[1791].speaker SPEAKER_36
transcript.pyannote[1791].start 13049.24909375
transcript.pyannote[1791].end 13050.48096875
transcript.pyannote[1792].speaker SPEAKER_36
transcript.pyannote[1792].start 13050.80159375
transcript.pyannote[1792].end 13052.38784375
transcript.pyannote[1793].speaker SPEAKER_36
transcript.pyannote[1793].start 13053.21471875
transcript.pyannote[1793].end 13066.84971875
transcript.pyannote[1794].speaker SPEAKER_36
transcript.pyannote[1794].start 13067.54159375
transcript.pyannote[1794].end 13074.74721875
transcript.pyannote[1795].speaker SPEAKER_36
transcript.pyannote[1795].start 13075.27034375
transcript.pyannote[1795].end 13079.28659375
transcript.pyannote[1796].speaker SPEAKER_36
transcript.pyannote[1796].start 13080.07971875
transcript.pyannote[1796].end 13081.59846875
transcript.pyannote[1797].speaker SPEAKER_36
transcript.pyannote[1797].start 13082.05409375
transcript.pyannote[1797].end 13083.94409375
transcript.pyannote[1798].speaker SPEAKER_36
transcript.pyannote[1798].start 13084.46721875
transcript.pyannote[1798].end 13087.97721875
transcript.pyannote[1799].speaker SPEAKER_26
transcript.pyannote[1799].start 13087.97721875
transcript.pyannote[1799].end 13089.02346875
transcript.pyannote[1800].speaker SPEAKER_36
transcript.pyannote[1800].start 13089.02346875
transcript.pyannote[1800].end 13094.60909375
transcript.pyannote[1801].speaker SPEAKER_26
transcript.pyannote[1801].start 13089.58034375
transcript.pyannote[1801].end 13091.45346875
transcript.pyannote[1802].speaker SPEAKER_36
transcript.pyannote[1802].start 13095.48659375
transcript.pyannote[1802].end 13098.57471875
transcript.pyannote[1803].speaker SPEAKER_36
transcript.pyannote[1803].start 13098.60846875
transcript.pyannote[1803].end 13101.78096875
transcript.pyannote[1804].speaker SPEAKER_36
transcript.pyannote[1804].start 13102.23659375
transcript.pyannote[1804].end 13103.36721875
transcript.pyannote[1805].speaker SPEAKER_36
transcript.pyannote[1805].start 13103.67096875
transcript.pyannote[1805].end 13108.85159375
transcript.pyannote[1806].speaker SPEAKER_26
transcript.pyannote[1806].start 13103.82284375
transcript.pyannote[1806].end 13104.02534375
transcript.pyannote[1807].speaker SPEAKER_35
transcript.pyannote[1807].start 13104.02534375
transcript.pyannote[1807].end 13104.09284375
transcript.pyannote[1808].speaker SPEAKER_26
transcript.pyannote[1808].start 13109.08784375
transcript.pyannote[1808].end 13109.13846875
transcript.pyannote[1809].speaker SPEAKER_36
transcript.pyannote[1809].start 13109.13846875
transcript.pyannote[1809].end 13109.15534375
transcript.pyannote[1810].speaker SPEAKER_26
transcript.pyannote[1810].start 13109.15534375
transcript.pyannote[1810].end 13109.34096875
transcript.pyannote[1811].speaker SPEAKER_36
transcript.pyannote[1811].start 13109.34096875
transcript.pyannote[1811].end 13109.39159375
transcript.pyannote[1812].speaker SPEAKER_36
transcript.pyannote[1812].start 13109.42534375
transcript.pyannote[1812].end 13111.02846875
transcript.pyannote[1813].speaker SPEAKER_10
transcript.pyannote[1813].start 13111.14659375
transcript.pyannote[1813].end 13113.98159375
transcript.pyannote[1814].speaker SPEAKER_36
transcript.pyannote[1814].start 13114.65659375
transcript.pyannote[1814].end 13114.69034375
transcript.pyannote[1815].speaker SPEAKER_11
transcript.pyannote[1815].start 13114.69034375
transcript.pyannote[1815].end 13115.63534375
transcript.pyannote[1816].speaker SPEAKER_10
transcript.pyannote[1816].start 13116.17534375
transcript.pyannote[1816].end 13120.61346875
transcript.pyannote[1817].speaker SPEAKER_21
transcript.pyannote[1817].start 13123.75221875
transcript.pyannote[1817].end 13127.66721875
transcript.pyannote[1818].speaker SPEAKER_10
transcript.pyannote[1818].start 13128.15659375
transcript.pyannote[1818].end 13129.40534375
transcript.pyannote[1819].speaker SPEAKER_21
transcript.pyannote[1819].start 13129.52346875
transcript.pyannote[1819].end 13129.87784375
transcript.pyannote[1820].speaker SPEAKER_11
transcript.pyannote[1820].start 13130.28284375
transcript.pyannote[1820].end 13131.07596875
transcript.pyannote[1821].speaker SPEAKER_11
transcript.pyannote[1821].start 13133.23596875
transcript.pyannote[1821].end 13133.35409375
transcript.pyannote[1822].speaker SPEAKER_10
transcript.pyannote[1822].start 13133.35409375
transcript.pyannote[1822].end 13136.23971875
transcript.pyannote[1823].speaker SPEAKER_11
transcript.pyannote[1823].start 13133.38784375
transcript.pyannote[1823].end 13136.50971875
transcript.pyannote[1824].speaker SPEAKER_11
transcript.pyannote[1824].start 13136.91471875
transcript.pyannote[1824].end 13137.57284375
transcript.pyannote[1825].speaker SPEAKER_14
transcript.pyannote[1825].start 13139.05784375
transcript.pyannote[1825].end 13139.07471875
transcript.pyannote[1826].speaker SPEAKER_21
transcript.pyannote[1826].start 13139.07471875
transcript.pyannote[1826].end 13139.74971875
transcript.pyannote[1827].speaker SPEAKER_14
transcript.pyannote[1827].start 13139.74971875
transcript.pyannote[1827].end 13139.76659375
transcript.pyannote[1828].speaker SPEAKER_21
transcript.pyannote[1828].start 13140.57659375
transcript.pyannote[1828].end 13140.89721875
transcript.pyannote[1829].speaker SPEAKER_23
transcript.pyannote[1829].start 13141.89284375
transcript.pyannote[1829].end 13142.38221875
transcript.pyannote[1830].speaker SPEAKER_21
transcript.pyannote[1830].start 13144.77846875
transcript.pyannote[1830].end 13149.94221875
transcript.pyannote[1831].speaker SPEAKER_21
transcript.pyannote[1831].start 13150.11096875
transcript.pyannote[1831].end 13155.79784375
transcript.pyannote[1832].speaker SPEAKER_21
transcript.pyannote[1832].start 13156.10159375
transcript.pyannote[1832].end 13157.38409375
transcript.pyannote[1833].speaker SPEAKER_21
transcript.pyannote[1833].start 13157.68784375
transcript.pyannote[1833].end 13171.66034375
transcript.pyannote[1834].speaker SPEAKER_21
transcript.pyannote[1834].start 13172.18346875
transcript.pyannote[1834].end 13173.31409375
transcript.pyannote[1835].speaker SPEAKER_21
transcript.pyannote[1835].start 13173.71909375
transcript.pyannote[1835].end 13189.56471875
transcript.pyannote[1836].speaker SPEAKER_21
transcript.pyannote[1836].start 13190.05409375
transcript.pyannote[1836].end 13190.74596875
transcript.pyannote[1837].speaker SPEAKER_21
transcript.pyannote[1837].start 13191.37034375
transcript.pyannote[1837].end 13196.93909375
transcript.pyannote[1838].speaker SPEAKER_23
transcript.pyannote[1838].start 13199.52096875
transcript.pyannote[1838].end 13201.76534375
transcript.pyannote[1839].speaker SPEAKER_21
transcript.pyannote[1839].start 13202.99721875
transcript.pyannote[1839].end 13203.41909375
transcript.pyannote[1840].speaker SPEAKER_21
transcript.pyannote[1840].start 13203.84096875
transcript.pyannote[1840].end 13218.35346875
transcript.pyannote[1841].speaker SPEAKER_21
transcript.pyannote[1841].start 13218.82596875
transcript.pyannote[1841].end 13292.19846875
transcript.pyannote[1842].speaker SPEAKER_21
transcript.pyannote[1842].start 13292.28284375
transcript.pyannote[1842].end 13292.77221875
transcript.pyannote[1843].speaker SPEAKER_21
transcript.pyannote[1843].start 13292.99159375
transcript.pyannote[1843].end 13307.40284375
transcript.pyannote[1844].speaker SPEAKER_21
transcript.pyannote[1844].start 13309.56284375
transcript.pyannote[1844].end 13309.88346875
transcript.pyannote[1845].speaker SPEAKER_21
transcript.pyannote[1845].start 13310.08596875
transcript.pyannote[1845].end 13310.54159375
transcript.pyannote[1846].speaker SPEAKER_21
transcript.pyannote[1846].start 13311.13221875
transcript.pyannote[1846].end 13311.89159375
transcript.pyannote[1847].speaker SPEAKER_21
transcript.pyannote[1847].start 13313.68034375
transcript.pyannote[1847].end 13314.79409375
transcript.pyannote[1848].speaker SPEAKER_21
transcript.pyannote[1848].start 13315.23284375
transcript.pyannote[1848].end 13329.08721875
transcript.pyannote[1849].speaker SPEAKER_21
transcript.pyannote[1849].start 13329.30659375
transcript.pyannote[1849].end 13341.32159375
transcript.pyannote[1850].speaker SPEAKER_23
transcript.pyannote[1850].start 13342.50284375
transcript.pyannote[1850].end 13351.98659375
transcript.pyannote[1851].speaker SPEAKER_32
transcript.pyannote[1851].start 13349.43846875
transcript.pyannote[1851].end 13349.69159375
transcript.pyannote[1852].speaker SPEAKER_21
transcript.pyannote[1852].start 13349.69159375
transcript.pyannote[1852].end 13349.70846875
transcript.pyannote[1853].speaker SPEAKER_23
transcript.pyannote[1853].start 13352.42534375
transcript.pyannote[1853].end 13364.15346875
transcript.pyannote[1854].speaker SPEAKER_21
transcript.pyannote[1854].start 13364.15346875
transcript.pyannote[1854].end 13368.13596875
transcript.pyannote[1855].speaker SPEAKER_23
transcript.pyannote[1855].start 13368.10221875
transcript.pyannote[1855].end 13368.35534375
transcript.pyannote[1856].speaker SPEAKER_21
transcript.pyannote[1856].start 13368.22034375
transcript.pyannote[1856].end 13428.51471875
transcript.pyannote[1857].speaker SPEAKER_32
transcript.pyannote[1857].start 13368.35534375
transcript.pyannote[1857].end 13368.42284375
transcript.pyannote[1858].speaker SPEAKER_32
transcript.pyannote[1858].start 13370.09346875
transcript.pyannote[1858].end 13370.32971875
transcript.pyannote[1859].speaker SPEAKER_23
transcript.pyannote[1859].start 13429.29096875
transcript.pyannote[1859].end 13436.56409375
transcript.pyannote[1860].speaker SPEAKER_23
transcript.pyannote[1860].start 13436.83409375
transcript.pyannote[1860].end 13442.28471875
transcript.pyannote[1861].speaker SPEAKER_21
transcript.pyannote[1861].start 13441.12034375
transcript.pyannote[1861].end 13441.49159375
transcript.pyannote[1862].speaker SPEAKER_21
transcript.pyannote[1862].start 13442.28471875
transcript.pyannote[1862].end 13447.98846875
transcript.pyannote[1863].speaker SPEAKER_21
transcript.pyannote[1863].start 13448.62971875
transcript.pyannote[1863].end 13477.77284375
transcript.pyannote[1864].speaker SPEAKER_23
transcript.pyannote[1864].start 13478.97096875
transcript.pyannote[1864].end 13483.35846875
transcript.pyannote[1865].speaker SPEAKER_01
transcript.pyannote[1865].start 13482.90284375
transcript.pyannote[1865].end 13483.30784375
transcript.pyannote[1866].speaker SPEAKER_01
transcript.pyannote[1866].start 13483.35846875
transcript.pyannote[1866].end 13483.39221875
transcript.pyannote[1867].speaker SPEAKER_01
transcript.pyannote[1867].start 13484.25284375
transcript.pyannote[1867].end 13498.59659375
transcript.pyannote[1868].speaker SPEAKER_01
transcript.pyannote[1868].start 13498.66409375
transcript.pyannote[1868].end 13503.37221875
transcript.pyannote[1869].speaker SPEAKER_21
transcript.pyannote[1869].start 13503.37221875
transcript.pyannote[1869].end 13508.62034375
transcript.pyannote[1870].speaker SPEAKER_01
transcript.pyannote[1870].start 13508.62034375
transcript.pyannote[1870].end 13532.97096875
transcript.pyannote[1871].speaker SPEAKER_21
transcript.pyannote[1871].start 13516.11284375
transcript.pyannote[1871].end 13516.45034375
transcript.pyannote[1872].speaker SPEAKER_00
transcript.pyannote[1872].start 13516.45034375
transcript.pyannote[1872].end 13516.48409375
transcript.pyannote[1873].speaker SPEAKER_00
transcript.pyannote[1873].start 13519.31909375
transcript.pyannote[1873].end 13519.75784375
transcript.pyannote[1874].speaker SPEAKER_00
transcript.pyannote[1874].start 13520.07846875
transcript.pyannote[1874].end 13521.71534375
transcript.pyannote[1875].speaker SPEAKER_21
transcript.pyannote[1875].start 13532.97096875
transcript.pyannote[1875].end 13540.75034375
transcript.pyannote[1876].speaker SPEAKER_01
transcript.pyannote[1876].start 13533.39284375
transcript.pyannote[1876].end 13534.67534375
transcript.pyannote[1877].speaker SPEAKER_01
transcript.pyannote[1877].start 13539.61971875
transcript.pyannote[1877].end 13539.67034375
transcript.pyannote[1878].speaker SPEAKER_10
transcript.pyannote[1878].start 13539.67034375
transcript.pyannote[1878].end 13540.73346875
transcript.pyannote[1879].speaker SPEAKER_01
transcript.pyannote[1879].start 13540.75034375
transcript.pyannote[1879].end 13540.76721875
transcript.pyannote[1880].speaker SPEAKER_10
transcript.pyannote[1880].start 13542.57284375
transcript.pyannote[1880].end 13548.49596875
transcript.pyannote[1881].speaker SPEAKER_10
transcript.pyannote[1881].start 13550.13284375
transcript.pyannote[1881].end 13564.76346875
transcript.pyannote[1882].speaker SPEAKER_10
transcript.pyannote[1882].start 13564.88159375
transcript.pyannote[1882].end 13572.55971875
transcript.pyannote[1883].speaker SPEAKER_11
transcript.pyannote[1883].start 13573.42034375
transcript.pyannote[1883].end 13574.09534375
transcript.pyannote[1884].speaker SPEAKER_20
transcript.pyannote[1884].start 13577.85846875
transcript.pyannote[1884].end 13580.86221875
transcript.pyannote[1885].speaker SPEAKER_20
transcript.pyannote[1885].start 13581.25034375
transcript.pyannote[1885].end 13582.97159375
transcript.pyannote[1886].speaker SPEAKER_10
transcript.pyannote[1886].start 13582.68471875
transcript.pyannote[1886].end 13583.59596875
transcript.pyannote[1887].speaker SPEAKER_20
transcript.pyannote[1887].start 13583.47784375
transcript.pyannote[1887].end 13584.45659375
transcript.pyannote[1888].speaker SPEAKER_20
transcript.pyannote[1888].start 13584.86159375
transcript.pyannote[1888].end 13586.32971875
transcript.pyannote[1889].speaker SPEAKER_10
transcript.pyannote[1889].start 13585.89096875
transcript.pyannote[1889].end 13586.58284375
transcript.pyannote[1890].speaker SPEAKER_20
transcript.pyannote[1890].start 13586.86971875
transcript.pyannote[1890].end 13588.11846875
transcript.pyannote[1891].speaker SPEAKER_20
transcript.pyannote[1891].start 13588.23659375
transcript.pyannote[1891].end 13606.84971875
transcript.pyannote[1892].speaker SPEAKER_23
transcript.pyannote[1892].start 13609.04346875
transcript.pyannote[1892].end 13611.84471875
transcript.pyannote[1893].speaker SPEAKER_20
transcript.pyannote[1893].start 13611.84471875
transcript.pyannote[1893].end 13767.58409375
transcript.pyannote[1894].speaker SPEAKER_20
transcript.pyannote[1894].start 13768.74846875
transcript.pyannote[1894].end 13769.08596875
transcript.pyannote[1895].speaker SPEAKER_20
transcript.pyannote[1895].start 13769.71034375
transcript.pyannote[1895].end 13773.87846875
transcript.pyannote[1896].speaker SPEAKER_23
transcript.pyannote[1896].start 13774.11471875
transcript.pyannote[1896].end 13778.46846875
transcript.pyannote[1897].speaker SPEAKER_20
transcript.pyannote[1897].start 13776.73034375
transcript.pyannote[1897].end 13779.58221875
transcript.pyannote[1898].speaker SPEAKER_23
transcript.pyannote[1898].start 13780.10534375
transcript.pyannote[1898].end 13782.13034375
transcript.pyannote[1899].speaker SPEAKER_20
transcript.pyannote[1899].start 13782.13034375
transcript.pyannote[1899].end 13783.17659375
transcript.pyannote[1900].speaker SPEAKER_35
transcript.pyannote[1900].start 13784.99909375
transcript.pyannote[1900].end 13793.25096875
transcript.pyannote[1901].speaker SPEAKER_20
transcript.pyannote[1901].start 13792.91346875
transcript.pyannote[1901].end 13840.46721875
transcript.pyannote[1902].speaker SPEAKER_35
transcript.pyannote[1902].start 13794.63471875
transcript.pyannote[1902].end 13796.64284375
transcript.pyannote[1903].speaker SPEAKER_35
transcript.pyannote[1903].start 13841.69909375
transcript.pyannote[1903].end 13842.20534375
transcript.pyannote[1904].speaker SPEAKER_35
transcript.pyannote[1904].start 13842.30659375
transcript.pyannote[1904].end 13852.11096875
transcript.pyannote[1905].speaker SPEAKER_20
transcript.pyannote[1905].start 13842.39096875
transcript.pyannote[1905].end 13844.88846875
transcript.pyannote[1906].speaker SPEAKER_20
transcript.pyannote[1906].start 13850.92971875
transcript.pyannote[1906].end 13851.50346875
transcript.pyannote[1907].speaker SPEAKER_35
transcript.pyannote[1907].start 13852.31346875
transcript.pyannote[1907].end 13854.03471875
transcript.pyannote[1908].speaker SPEAKER_35
transcript.pyannote[1908].start 13854.50721875
transcript.pyannote[1908].end 13858.87784375
transcript.pyannote[1909].speaker SPEAKER_35
transcript.pyannote[1909].start 13859.60346875
transcript.pyannote[1909].end 13861.30784375
transcript.pyannote[1910].speaker SPEAKER_35
transcript.pyannote[1910].start 13861.86471875
transcript.pyannote[1910].end 13865.81346875
transcript.pyannote[1911].speaker SPEAKER_20
transcript.pyannote[1911].start 13863.80534375
transcript.pyannote[1911].end 13870.03221875
transcript.pyannote[1912].speaker SPEAKER_35
transcript.pyannote[1912].start 13870.03221875
transcript.pyannote[1912].end 13870.97721875
transcript.pyannote[1913].speaker SPEAKER_20
transcript.pyannote[1913].start 13870.97721875
transcript.pyannote[1913].end 13918.90221875
transcript.pyannote[1914].speaker SPEAKER_35
transcript.pyannote[1914].start 13871.17971875
transcript.pyannote[1914].end 13872.66471875
transcript.pyannote[1915].speaker SPEAKER_35
transcript.pyannote[1915].start 13919.23971875
transcript.pyannote[1915].end 13926.96846875
transcript.pyannote[1916].speaker SPEAKER_20
transcript.pyannote[1916].start 13920.25221875
transcript.pyannote[1916].end 13920.57284375
transcript.pyannote[1917].speaker SPEAKER_20
transcript.pyannote[1917].start 13924.65659375
transcript.pyannote[1917].end 13947.69096875
transcript.pyannote[1918].speaker SPEAKER_20
transcript.pyannote[1918].start 13948.58534375
transcript.pyannote[1918].end 13960.43159375
transcript.pyannote[1919].speaker SPEAKER_20
transcript.pyannote[1919].start 13960.49909375
transcript.pyannote[1919].end 13960.51596875
transcript.pyannote[1920].speaker SPEAKER_20
transcript.pyannote[1920].start 13960.53284375
transcript.pyannote[1920].end 13960.54971875
transcript.pyannote[1921].speaker SPEAKER_23
transcript.pyannote[1921].start 13960.54971875
transcript.pyannote[1921].end 13964.36346875
transcript.pyannote[1922].speaker SPEAKER_20
transcript.pyannote[1922].start 13961.30909375
transcript.pyannote[1922].end 13962.15284375
transcript.pyannote[1923].speaker SPEAKER_20
transcript.pyannote[1923].start 13964.48159375
transcript.pyannote[1923].end 13969.61159375
transcript.pyannote[1924].speaker SPEAKER_10
transcript.pyannote[1924].start 13968.04221875
transcript.pyannote[1924].end 13979.17971875
transcript.pyannote[1925].speaker SPEAKER_25
transcript.pyannote[1925].start 13984.14096875
transcript.pyannote[1925].end 13984.98471875
transcript.pyannote[1926].speaker SPEAKER_25
transcript.pyannote[1926].start 13990.08096875
transcript.pyannote[1926].end 13990.18221875
transcript.pyannote[1927].speaker SPEAKER_23
transcript.pyannote[1927].start 13990.18221875
transcript.pyannote[1927].end 13990.19909375
transcript.pyannote[1928].speaker SPEAKER_25
transcript.pyannote[1928].start 13990.19909375
transcript.pyannote[1928].end 13990.40159375
transcript.pyannote[1929].speaker SPEAKER_23
transcript.pyannote[1929].start 13990.40159375
transcript.pyannote[1929].end 13990.65471875
transcript.pyannote[1930].speaker SPEAKER_25
transcript.pyannote[1930].start 13990.90784375
transcript.pyannote[1930].end 13999.53096875
transcript.pyannote[1931].speaker SPEAKER_25
transcript.pyannote[1931].start 14000.10471875
transcript.pyannote[1931].end 14003.88471875
transcript.pyannote[1932].speaker SPEAKER_25
transcript.pyannote[1932].start 14004.37409375
transcript.pyannote[1932].end 14009.84159375
transcript.pyannote[1933].speaker SPEAKER_25
transcript.pyannote[1933].start 14009.90909375
transcript.pyannote[1933].end 14032.70721875
transcript.pyannote[1934].speaker SPEAKER_25
transcript.pyannote[1934].start 14033.17971875
transcript.pyannote[1934].end 14059.13346875
transcript.pyannote[1935].speaker SPEAKER_25
transcript.pyannote[1935].start 14059.30221875
transcript.pyannote[1935].end 14067.45284375
transcript.pyannote[1936].speaker SPEAKER_26
transcript.pyannote[1936].start 14068.48221875
transcript.pyannote[1936].end 14073.25784375
transcript.pyannote[1937].speaker SPEAKER_25
transcript.pyannote[1937].start 14072.88659375
transcript.pyannote[1937].end 14072.95409375
transcript.pyannote[1938].speaker SPEAKER_25
transcript.pyannote[1938].start 14073.25784375
transcript.pyannote[1938].end 14073.29159375
transcript.pyannote[1939].speaker SPEAKER_26
transcript.pyannote[1939].start 14073.29159375
transcript.pyannote[1939].end 14080.49721875
transcript.pyannote[1940].speaker SPEAKER_25
transcript.pyannote[1940].start 14073.64596875
transcript.pyannote[1940].end 14073.74721875
transcript.pyannote[1941].speaker SPEAKER_25
transcript.pyannote[1941].start 14078.48909375
transcript.pyannote[1941].end 14079.82221875
transcript.pyannote[1942].speaker SPEAKER_25
transcript.pyannote[1942].start 14080.24409375
transcript.pyannote[1942].end 14084.71596875
transcript.pyannote[1943].speaker SPEAKER_26
transcript.pyannote[1943].start 14082.20159375
transcript.pyannote[1943].end 14082.91034375
transcript.pyannote[1944].speaker SPEAKER_26
transcript.pyannote[1944].start 14084.71596875
transcript.pyannote[1944].end 14090.03159375
transcript.pyannote[1945].speaker SPEAKER_25
transcript.pyannote[1945].start 14086.20096875
transcript.pyannote[1945].end 14094.99284375
transcript.pyannote[1946].speaker SPEAKER_26
transcript.pyannote[1946].start 14092.68096875
transcript.pyannote[1946].end 14092.78221875
transcript.pyannote[1947].speaker SPEAKER_26
transcript.pyannote[1947].start 14094.43596875
transcript.pyannote[1947].end 14096.14034375
transcript.pyannote[1948].speaker SPEAKER_26
transcript.pyannote[1948].start 14096.17409375
transcript.pyannote[1948].end 14096.19096875
transcript.pyannote[1949].speaker SPEAKER_25
transcript.pyannote[1949].start 14096.19096875
transcript.pyannote[1949].end 14110.51784375
transcript.pyannote[1950].speaker SPEAKER_25
transcript.pyannote[1950].start 14110.97346875
transcript.pyannote[1950].end 14115.31034375
transcript.pyannote[1951].speaker SPEAKER_25
transcript.pyannote[1951].start 14115.74909375
transcript.pyannote[1951].end 14115.76596875
transcript.pyannote[1952].speaker SPEAKER_26
transcript.pyannote[1952].start 14115.76596875
transcript.pyannote[1952].end 14136.89346875
transcript.pyannote[1953].speaker SPEAKER_25
transcript.pyannote[1953].start 14135.40846875
transcript.pyannote[1953].end 14135.76284375
transcript.pyannote[1954].speaker SPEAKER_25
transcript.pyannote[1954].start 14136.91034375
transcript.pyannote[1954].end 14143.84596875
transcript.pyannote[1955].speaker SPEAKER_26
transcript.pyannote[1955].start 14143.98096875
transcript.pyannote[1955].end 14150.22471875
transcript.pyannote[1956].speaker SPEAKER_26
transcript.pyannote[1956].start 14150.54534375
transcript.pyannote[1956].end 14185.84784375
transcript.pyannote[1957].speaker SPEAKER_25
transcript.pyannote[1957].start 14185.98284375
transcript.pyannote[1957].end 14189.02034375
transcript.pyannote[1958].speaker SPEAKER_25
transcript.pyannote[1958].start 14189.20596875
transcript.pyannote[1958].end 14193.84659375
transcript.pyannote[1959].speaker SPEAKER_25
transcript.pyannote[1959].start 14194.09971875
transcript.pyannote[1959].end 14195.93909375
transcript.pyannote[1960].speaker SPEAKER_25
transcript.pyannote[1960].start 14196.09096875
transcript.pyannote[1960].end 14198.70659375
transcript.pyannote[1961].speaker SPEAKER_25
transcript.pyannote[1961].start 14199.04409375
transcript.pyannote[1961].end 14217.89346875
transcript.pyannote[1962].speaker SPEAKER_25
transcript.pyannote[1962].start 14218.31534375
transcript.pyannote[1962].end 14232.38909375
transcript.pyannote[1963].speaker SPEAKER_25
transcript.pyannote[1963].start 14232.74346875
transcript.pyannote[1963].end 14241.36659375
transcript.pyannote[1964].speaker SPEAKER_23
transcript.pyannote[1964].start 14241.18096875
transcript.pyannote[1964].end 14242.41284375
transcript.pyannote[1965].speaker SPEAKER_25
transcript.pyannote[1965].start 14242.41284375
transcript.pyannote[1965].end 14243.03721875
transcript.pyannote[1966].speaker SPEAKER_23
transcript.pyannote[1966].start 14243.03721875
transcript.pyannote[1966].end 14244.03284375
transcript.pyannote[1967].speaker SPEAKER_25
transcript.pyannote[1967].start 14245.50096875
transcript.pyannote[1967].end 14245.51784375
transcript.pyannote[1968].speaker SPEAKER_10
transcript.pyannote[1968].start 14245.51784375
transcript.pyannote[1968].end 14259.96284375
transcript.pyannote[1969].speaker SPEAKER_10
transcript.pyannote[1969].start 14260.13159375
transcript.pyannote[1969].end 14261.43096875
transcript.pyannote[1970].speaker SPEAKER_10
transcript.pyannote[1970].start 14261.53221875
transcript.pyannote[1970].end 14262.94971875
transcript.pyannote[1971].speaker SPEAKER_10
transcript.pyannote[1971].start 14263.48971875
transcript.pyannote[1971].end 14263.77659375
transcript.pyannote[1972].speaker SPEAKER_16
transcript.pyannote[1972].start 14274.94784375
transcript.pyannote[1972].end 14277.54659375
transcript.pyannote[1973].speaker SPEAKER_10
transcript.pyannote[1973].start 14284.24596875
transcript.pyannote[1973].end 14288.70096875
transcript.pyannote[1974].speaker SPEAKER_10
transcript.pyannote[1974].start 14288.92034375
transcript.pyannote[1974].end 14290.54034375
transcript.pyannote[1975].speaker SPEAKER_16
transcript.pyannote[1975].start 14288.98784375
transcript.pyannote[1975].end 14289.67971875
transcript.pyannote[1976].speaker SPEAKER_10
transcript.pyannote[1976].start 14290.92846875
transcript.pyannote[1976].end 14291.62034375
transcript.pyannote[1977].speaker SPEAKER_10
transcript.pyannote[1977].start 14291.85659375
transcript.pyannote[1977].end 14294.16846875
transcript.pyannote[1978].speaker SPEAKER_10
transcript.pyannote[1978].start 14294.70846875
transcript.pyannote[1978].end 14295.02909375
transcript.pyannote[1979].speaker SPEAKER_16
transcript.pyannote[1979].start 14295.02909375
transcript.pyannote[1979].end 14295.31596875
transcript.pyannote[1980].speaker SPEAKER_10
transcript.pyannote[1980].start 14295.31596875
transcript.pyannote[1980].end 14295.34971875
transcript.pyannote[1981].speaker SPEAKER_10
transcript.pyannote[1981].start 14296.76721875
transcript.pyannote[1981].end 14297.35784375
transcript.pyannote[1982].speaker SPEAKER_10
transcript.pyannote[1982].start 14297.59409375
transcript.pyannote[1982].end 14298.47159375
transcript.pyannote[1983].speaker SPEAKER_10
transcript.pyannote[1983].start 14300.05784375
transcript.pyannote[1983].end 14300.37846875
transcript.pyannote[1984].speaker SPEAKER_10
transcript.pyannote[1984].start 14301.54284375
transcript.pyannote[1984].end 14308.03971875
transcript.pyannote[1985].speaker SPEAKER_10
transcript.pyannote[1985].start 14308.52909375
transcript.pyannote[1985].end 14347.42596875
transcript.pyannote[1986].speaker SPEAKER_10
transcript.pyannote[1986].start 14348.87721875
transcript.pyannote[1986].end 14350.46346875
transcript.pyannote[1987].speaker SPEAKER_10
transcript.pyannote[1987].start 14350.81784375
transcript.pyannote[1987].end 14357.95596875
transcript.pyannote[1988].speaker SPEAKER_10
transcript.pyannote[1988].start 14358.46221875
transcript.pyannote[1988].end 14368.57034375
transcript.pyannote[1989].speaker SPEAKER_10
transcript.pyannote[1989].start 14368.89096875
transcript.pyannote[1989].end 14369.98784375
transcript.pyannote[1990].speaker SPEAKER_10
transcript.pyannote[1990].start 14370.52784375
transcript.pyannote[1990].end 14377.86846875
transcript.pyannote[1991].speaker SPEAKER_10
transcript.pyannote[1991].start 14378.39159375
transcript.pyannote[1991].end 14408.91846875
transcript.pyannote[1992].speaker SPEAKER_26
transcript.pyannote[1992].start 14409.77909375
transcript.pyannote[1992].end 14410.11659375
transcript.pyannote[1993].speaker SPEAKER_26
transcript.pyannote[1993].start 14410.23471875
transcript.pyannote[1993].end 14419.34721875
transcript.pyannote[1994].speaker SPEAKER_32
transcript.pyannote[1994].start 14419.34721875
transcript.pyannote[1994].end 14419.83659375
transcript.pyannote[1995].speaker SPEAKER_26
transcript.pyannote[1995].start 14419.63409375
transcript.pyannote[1995].end 14448.38909375
transcript.pyannote[1996].speaker SPEAKER_00
transcript.pyannote[1996].start 14440.17096875
transcript.pyannote[1996].end 14440.23846875
transcript.pyannote[1997].speaker SPEAKER_10
transcript.pyannote[1997].start 14440.23846875
transcript.pyannote[1997].end 14440.60971875
transcript.pyannote[1998].speaker SPEAKER_10
transcript.pyannote[1998].start 14447.44409375
transcript.pyannote[1998].end 14452.89471875
transcript.pyannote[1999].speaker SPEAKER_26
transcript.pyannote[1999].start 14452.81034375
transcript.pyannote[1999].end 14452.87784375
transcript.pyannote[2000].speaker SPEAKER_26
transcript.pyannote[2000].start 14452.89471875
transcript.pyannote[2000].end 14452.97909375
transcript.pyannote[2001].speaker SPEAKER_10
transcript.pyannote[2001].start 14452.97909375
transcript.pyannote[2001].end 14453.56971875
transcript.pyannote[2002].speaker SPEAKER_26
transcript.pyannote[2002].start 14453.06346875
transcript.pyannote[2002].end 14457.19784375
transcript.pyannote[2003].speaker SPEAKER_26
transcript.pyannote[2003].start 14457.65346875
transcript.pyannote[2003].end 14462.42909375
transcript.pyannote[2004].speaker SPEAKER_32
transcript.pyannote[2004].start 14462.61471875
transcript.pyannote[2004].end 14462.66534375
transcript.pyannote[2005].speaker SPEAKER_26
transcript.pyannote[2005].start 14462.66534375
transcript.pyannote[2005].end 14469.44909375
transcript.pyannote[2006].speaker SPEAKER_32
transcript.pyannote[2006].start 14462.78346875
transcript.pyannote[2006].end 14462.86784375
transcript.pyannote[2007].speaker SPEAKER_26
transcript.pyannote[2007].start 14469.73596875
transcript.pyannote[2007].end 14471.03534375
transcript.pyannote[2008].speaker SPEAKER_10
transcript.pyannote[2008].start 14471.03534375
transcript.pyannote[2008].end 14471.59221875
transcript.pyannote[2009].speaker SPEAKER_10
transcript.pyannote[2009].start 14471.77784375
transcript.pyannote[2009].end 14471.84534375
transcript.pyannote[2010].speaker SPEAKER_26
transcript.pyannote[2010].start 14471.84534375
transcript.pyannote[2010].end 14471.86221875
transcript.pyannote[2011].speaker SPEAKER_10
transcript.pyannote[2011].start 14471.86221875
transcript.pyannote[2011].end 14474.35971875
transcript.pyannote[2012].speaker SPEAKER_10
transcript.pyannote[2012].start 14474.68034375
transcript.pyannote[2012].end 14479.45596875
transcript.pyannote[2013].speaker SPEAKER_08
transcript.pyannote[2013].start 14475.08534375
transcript.pyannote[2013].end 14475.27096875
transcript.pyannote[2014].speaker SPEAKER_08
transcript.pyannote[2014].start 14478.15659375
transcript.pyannote[2014].end 14478.61221875
transcript.pyannote[2015].speaker SPEAKER_10
transcript.pyannote[2015].start 14479.79346875
transcript.pyannote[2015].end 14489.96909375
transcript.pyannote[2016].speaker SPEAKER_32
transcript.pyannote[2016].start 14489.96909375
transcript.pyannote[2016].end 14490.44159375
transcript.pyannote[2017].speaker SPEAKER_10
transcript.pyannote[2017].start 14490.17159375
transcript.pyannote[2017].end 14496.48284375
transcript.pyannote[2018].speaker SPEAKER_32
transcript.pyannote[2018].start 14492.24721875
transcript.pyannote[2018].end 14492.51721875
transcript.pyannote[2019].speaker SPEAKER_10
transcript.pyannote[2019].start 14497.66409375
transcript.pyannote[2019].end 14510.32034375
transcript.pyannote[2020].speaker SPEAKER_26
transcript.pyannote[2020].start 14506.23659375
transcript.pyannote[2020].end 14506.74284375
transcript.pyannote[2021].speaker SPEAKER_26
transcript.pyannote[2021].start 14509.37534375
transcript.pyannote[2021].end 14509.69596875
transcript.pyannote[2022].speaker SPEAKER_26
transcript.pyannote[2022].start 14510.64096875
transcript.pyannote[2022].end 14542.11284375
transcript.pyannote[2023].speaker SPEAKER_00
transcript.pyannote[2023].start 14523.48284375
transcript.pyannote[2023].end 14523.93846875
transcript.pyannote[2024].speaker SPEAKER_32
transcript.pyannote[2024].start 14542.11284375
transcript.pyannote[2024].end 14542.58534375
transcript.pyannote[2025].speaker SPEAKER_26
transcript.pyannote[2025].start 14542.55159375
transcript.pyannote[2025].end 14568.26909375
transcript.pyannote[2026].speaker SPEAKER_10
transcript.pyannote[2026].start 14568.48846875
transcript.pyannote[2026].end 14574.09096875
transcript.pyannote[2027].speaker SPEAKER_32
transcript.pyannote[2027].start 14574.09096875
transcript.pyannote[2027].end 14574.12471875
transcript.pyannote[2028].speaker SPEAKER_10
transcript.pyannote[2028].start 14574.12471875
transcript.pyannote[2028].end 14594.93159375
transcript.pyannote[2029].speaker SPEAKER_26
transcript.pyannote[2029].start 14574.14159375
transcript.pyannote[2029].end 14574.32721875
transcript.pyannote[2030].speaker SPEAKER_26
transcript.pyannote[2030].start 14589.49784375
transcript.pyannote[2030].end 14590.20659375
transcript.pyannote[2031].speaker SPEAKER_26
transcript.pyannote[2031].start 14591.26971875
transcript.pyannote[2031].end 14591.42159375
transcript.pyannote[2032].speaker SPEAKER_26
transcript.pyannote[2032].start 14594.86409375
transcript.pyannote[2032].end 14598.49221875
transcript.pyannote[2033].speaker SPEAKER_10
transcript.pyannote[2033].start 14595.26909375
transcript.pyannote[2033].end 14596.95659375
transcript.pyannote[2034].speaker SPEAKER_10
transcript.pyannote[2034].start 14597.95221875
transcript.pyannote[2034].end 14608.68471875
transcript.pyannote[2035].speaker SPEAKER_26
transcript.pyannote[2035].start 14599.08284375
transcript.pyannote[2035].end 14600.23034375
transcript.pyannote[2036].speaker SPEAKER_26
transcript.pyannote[2036].start 14606.91284375
transcript.pyannote[2036].end 14609.02221875
transcript.pyannote[2037].speaker SPEAKER_10
transcript.pyannote[2037].start 14608.85346875
transcript.pyannote[2037].end 14627.71971875
transcript.pyannote[2038].speaker SPEAKER_10
transcript.pyannote[2038].start 14627.82096875
transcript.pyannote[2038].end 14628.95159375
transcript.pyannote[2039].speaker SPEAKER_10
transcript.pyannote[2039].start 14629.93034375
transcript.pyannote[2039].end 14650.56846875
transcript.pyannote[2040].speaker SPEAKER_26
transcript.pyannote[2040].start 14650.61909375
transcript.pyannote[2040].end 14653.53846875
transcript.pyannote[2041].speaker SPEAKER_26
transcript.pyannote[2041].start 14653.87596875
transcript.pyannote[2041].end 14654.83784375
transcript.pyannote[2042].speaker SPEAKER_26
transcript.pyannote[2042].start 14655.07409375
transcript.pyannote[2042].end 14656.67721875
transcript.pyannote[2043].speaker SPEAKER_26
transcript.pyannote[2043].start 14657.38596875
transcript.pyannote[2043].end 14660.20409375
transcript.pyannote[2044].speaker SPEAKER_26
transcript.pyannote[2044].start 14660.69346875
transcript.pyannote[2044].end 14696.06346875
transcript.pyannote[2045].speaker SPEAKER_00
transcript.pyannote[2045].start 14679.05346875
transcript.pyannote[2045].end 14679.52596875
transcript.pyannote[2046].speaker SPEAKER_00
transcript.pyannote[2046].start 14683.84596875
transcript.pyannote[2046].end 14684.35221875
transcript.pyannote[2047].speaker SPEAKER_00
transcript.pyannote[2047].start 14687.71034375
transcript.pyannote[2047].end 14687.74409375
transcript.pyannote[2048].speaker SPEAKER_10
transcript.pyannote[2048].start 14687.74409375
transcript.pyannote[2048].end 14688.09846875
transcript.pyannote[2049].speaker SPEAKER_10
transcript.pyannote[2049].start 14696.13096875
transcript.pyannote[2049].end 14710.28909375
transcript.pyannote[2050].speaker SPEAKER_32
transcript.pyannote[2050].start 14709.14159375
transcript.pyannote[2050].end 14709.39471875
transcript.pyannote[2051].speaker SPEAKER_00
transcript.pyannote[2051].start 14712.16221875
transcript.pyannote[2051].end 14718.97971875
transcript.pyannote[2052].speaker SPEAKER_11
transcript.pyannote[2052].start 14721.64596875
transcript.pyannote[2052].end 14722.38846875
transcript.pyannote[2053].speaker SPEAKER_08
transcript.pyannote[2053].start 14730.57284375
transcript.pyannote[2053].end 14731.02846875
transcript.pyannote[2054].speaker SPEAKER_10
transcript.pyannote[2054].start 14731.02846875
transcript.pyannote[2054].end 14731.73721875
transcript.pyannote[2055].speaker SPEAKER_10
transcript.pyannote[2055].start 14734.94346875
transcript.pyannote[2055].end 14742.40221875
transcript.pyannote[2056].speaker SPEAKER_10
transcript.pyannote[2056].start 14742.73971875
transcript.pyannote[2056].end 14751.14346875
transcript.pyannote[2057].speaker SPEAKER_10
transcript.pyannote[2057].start 14752.37534375
transcript.pyannote[2057].end 14759.74971875
transcript.pyannote[2058].speaker SPEAKER_10
transcript.pyannote[2058].start 14761.92659375
transcript.pyannote[2058].end 14770.97159375
transcript.pyannote[2059].speaker SPEAKER_10
transcript.pyannote[2059].start 14772.32159375
transcript.pyannote[2059].end 14773.35096875
transcript.pyannote[2060].speaker SPEAKER_10
transcript.pyannote[2060].start 14773.48596875
transcript.pyannote[2060].end 14779.27409375
transcript.pyannote[2061].speaker SPEAKER_10
transcript.pyannote[2061].start 14779.94909375
transcript.pyannote[2061].end 14787.44159375
transcript.pyannote[2062].speaker SPEAKER_10
transcript.pyannote[2062].start 14787.74534375
transcript.pyannote[2062].end 14791.01909375
transcript.pyannote[2063].speaker SPEAKER_10
transcript.pyannote[2063].start 14791.72784375
transcript.pyannote[2063].end 14794.51221875
transcript.pyannote[2064].speaker SPEAKER_10
transcript.pyannote[2064].start 14796.68909375
transcript.pyannote[2064].end 14798.44409375
transcript.pyannote[2065].speaker SPEAKER_10
transcript.pyannote[2065].start 14801.41409375
transcript.pyannote[2065].end 14805.41346875
transcript.pyannote[2066].speaker SPEAKER_10
transcript.pyannote[2066].start 14805.64971875
transcript.pyannote[2066].end 14808.65346875
transcript.pyannote[2067].speaker SPEAKER_14
transcript.pyannote[2067].start 14809.69971875
transcript.pyannote[2067].end 14809.76721875
transcript.pyannote[2068].speaker SPEAKER_14
transcript.pyannote[2068].start 14809.96971875
transcript.pyannote[2068].end 14812.85534375
transcript.pyannote[2069].speaker SPEAKER_10
transcript.pyannote[2069].start 14812.45034375
transcript.pyannote[2069].end 14812.97346875
transcript.pyannote[2070].speaker SPEAKER_14
transcript.pyannote[2070].start 14812.97346875
transcript.pyannote[2070].end 14813.54721875
transcript.pyannote[2071].speaker SPEAKER_10
transcript.pyannote[2071].start 14813.54721875
transcript.pyannote[2071].end 14813.88471875
transcript.pyannote[2072].speaker SPEAKER_14
transcript.pyannote[2072].start 14813.88471875
transcript.pyannote[2072].end 14813.90159375
transcript.pyannote[2073].speaker SPEAKER_10
transcript.pyannote[2073].start 14813.90159375
transcript.pyannote[2073].end 14814.27284375
transcript.pyannote[2074].speaker SPEAKER_14
transcript.pyannote[2074].start 14814.27284375
transcript.pyannote[2074].end 14814.34034375
transcript.pyannote[2075].speaker SPEAKER_10
transcript.pyannote[2075].start 14814.34034375
transcript.pyannote[2075].end 14830.06784375
transcript.pyannote[2076].speaker SPEAKER_10
transcript.pyannote[2076].start 14830.84409375
transcript.pyannote[2076].end 14831.18159375
transcript.pyannote[2077].speaker SPEAKER_33
transcript.pyannote[2077].start 14837.40846875
transcript.pyannote[2077].end 14842.58909375
transcript.pyannote[2078].speaker SPEAKER_26
transcript.pyannote[2078].start 14856.84846875
transcript.pyannote[2078].end 14857.60784375
transcript.pyannote[2079].speaker SPEAKER_02
transcript.pyannote[2079].start 14886.98721875
transcript.pyannote[2079].end 14887.03784375
transcript.pyannote[2080].speaker SPEAKER_32
transcript.pyannote[2080].start 14893.24784375
transcript.pyannote[2080].end 14893.29846875
transcript.pyannote[2081].speaker SPEAKER_32
transcript.pyannote[2081].start 14893.33221875
transcript.pyannote[2081].end 14893.66971875
transcript.pyannote[2082].speaker SPEAKER_02
transcript.pyannote[2082].start 14893.66971875
transcript.pyannote[2082].end 14893.70346875
transcript.pyannote[2083].speaker SPEAKER_26
transcript.pyannote[2083].start 14932.97159375
transcript.pyannote[2083].end 14933.03909375
transcript.pyannote[2084].speaker SPEAKER_26
transcript.pyannote[2084].start 14933.62971875
transcript.pyannote[2084].end 14933.66346875
transcript.pyannote[2085].speaker SPEAKER_26
transcript.pyannote[2085].start 14933.69721875
transcript.pyannote[2085].end 14935.13159375
transcript.pyannote[2086].speaker SPEAKER_26
transcript.pyannote[2086].start 14938.96221875
transcript.pyannote[2086].end 14939.02971875
transcript.pyannote[2087].speaker SPEAKER_04
transcript.pyannote[2087].start 14939.02971875
transcript.pyannote[2087].end 14939.26596875
transcript.pyannote[2088].speaker SPEAKER_04
transcript.pyannote[2088].start 14942.97846875
transcript.pyannote[2088].end 14944.48034375
transcript.pyannote[2089].speaker SPEAKER_04
transcript.pyannote[2089].start 14945.91471875
transcript.pyannote[2089].end 14946.30284375
transcript.pyannote[2090].speaker SPEAKER_05
transcript.pyannote[2090].start 14946.30284375
transcript.pyannote[2090].end 14946.38721875
transcript.pyannote[2091].speaker SPEAKER_04
transcript.pyannote[2091].start 14946.38721875
transcript.pyannote[2091].end 14946.53909375
transcript.pyannote[2092].speaker SPEAKER_26
transcript.pyannote[2092].start 14970.97409375
transcript.pyannote[2092].end 14978.01096875
transcript.pyannote[2093].speaker SPEAKER_33
transcript.pyannote[2093].start 14986.70159375
transcript.pyannote[2093].end 14989.03034375
transcript.pyannote[2094].speaker SPEAKER_26
transcript.pyannote[2094].start 14999.96534375
transcript.pyannote[2094].end 15001.88909375
transcript.pyannote[2095].speaker SPEAKER_26
transcript.pyannote[2095].start 15001.97346875
transcript.pyannote[2095].end 15002.02409375
transcript.pyannote[2096].speaker SPEAKER_26
transcript.pyannote[2096].start 15002.29409375
transcript.pyannote[2096].end 15003.12096875
transcript.pyannote[2097].speaker SPEAKER_04
transcript.pyannote[2097].start 15027.08346875
transcript.pyannote[2097].end 15027.70784375
transcript.pyannote[2098].speaker SPEAKER_04
transcript.pyannote[2098].start 15029.34471875
transcript.pyannote[2098].end 15030.42471875
transcript.pyannote[2099].speaker SPEAKER_26
transcript.pyannote[2099].start 15030.42471875
transcript.pyannote[2099].end 15031.30221875
transcript.pyannote[2100].speaker SPEAKER_04
transcript.pyannote[2100].start 15031.30221875
transcript.pyannote[2100].end 15031.52159375
transcript.pyannote[2101].speaker SPEAKER_26
transcript.pyannote[2101].start 15031.52159375
transcript.pyannote[2101].end 15033.46221875
transcript.pyannote[2102].speaker SPEAKER_04
transcript.pyannote[2102].start 15033.46221875
transcript.pyannote[2102].end 15033.52971875
transcript.pyannote[2103].speaker SPEAKER_04
transcript.pyannote[2103].start 15033.54659375
transcript.pyannote[2103].end 15033.64784375
transcript.pyannote[2104].speaker SPEAKER_04
transcript.pyannote[2104].start 15033.68159375
transcript.pyannote[2104].end 15033.71534375
transcript.pyannote[2105].speaker SPEAKER_04
transcript.pyannote[2105].start 15033.96846875
transcript.pyannote[2105].end 15034.03596875
transcript.pyannote[2106].speaker SPEAKER_04
transcript.pyannote[2106].start 15034.17096875
transcript.pyannote[2106].end 15035.03159375
transcript.pyannote[2107].speaker SPEAKER_04
transcript.pyannote[2107].start 15036.16221875
transcript.pyannote[2107].end 15036.24659375
transcript.pyannote[2108].speaker SPEAKER_33
transcript.pyannote[2108].start 15036.24659375
transcript.pyannote[2108].end 15036.29721875
transcript.pyannote[2109].speaker SPEAKER_04
transcript.pyannote[2109].start 15036.29721875
transcript.pyannote[2109].end 15036.97221875
transcript.pyannote[2110].speaker SPEAKER_33
transcript.pyannote[2110].start 15036.97221875
transcript.pyannote[2110].end 15037.61346875
transcript.pyannote[2111].speaker SPEAKER_33
transcript.pyannote[2111].start 15037.96784375
transcript.pyannote[2111].end 15042.60846875
transcript.pyannote[2112].speaker SPEAKER_33
transcript.pyannote[2112].start 15042.62534375
transcript.pyannote[2112].end 15042.64221875
transcript.pyannote[2113].speaker SPEAKER_33
transcript.pyannote[2113].start 15042.65909375
transcript.pyannote[2113].end 15042.74346875
transcript.pyannote[2114].speaker SPEAKER_33
transcript.pyannote[2114].start 15042.89534375
transcript.pyannote[2114].end 15046.33784375
transcript.pyannote[2115].speaker SPEAKER_34
transcript.pyannote[2115].start 15043.95846875
transcript.pyannote[2115].end 15044.98784375
transcript.pyannote[2116].speaker SPEAKER_34
transcript.pyannote[2116].start 15046.33784375
transcript.pyannote[2116].end 15052.14284375
transcript.pyannote[2117].speaker SPEAKER_33
transcript.pyannote[2117].start 15051.18096875
transcript.pyannote[2117].end 15058.97721875
transcript.pyannote[2118].speaker SPEAKER_32
transcript.pyannote[2118].start 15057.84659375
transcript.pyannote[2118].end 15058.79159375
transcript.pyannote[2119].speaker SPEAKER_32
transcript.pyannote[2119].start 15058.97721875
transcript.pyannote[2119].end 15059.87159375
transcript.pyannote[2120].speaker SPEAKER_33
transcript.pyannote[2120].start 15059.87159375
transcript.pyannote[2120].end 15059.90534375
transcript.pyannote[2121].speaker SPEAKER_33
transcript.pyannote[2121].start 15059.97284375
transcript.pyannote[2121].end 15060.02346875
transcript.pyannote[2122].speaker SPEAKER_04
transcript.pyannote[2122].start 15060.05721875
transcript.pyannote[2122].end 15061.03596875
transcript.pyannote[2123].speaker SPEAKER_32
transcript.pyannote[2123].start 15061.03596875
transcript.pyannote[2123].end 15061.77846875
transcript.pyannote[2124].speaker SPEAKER_32
transcript.pyannote[2124].start 15062.09909375
transcript.pyannote[2124].end 15062.65596875
transcript.pyannote[2125].speaker SPEAKER_32
transcript.pyannote[2125].start 15064.12409375
transcript.pyannote[2125].end 15064.19159375
transcript.pyannote[2126].speaker SPEAKER_33
transcript.pyannote[2126].start 15064.19159375
transcript.pyannote[2126].end 15067.29659375
transcript.pyannote[2127].speaker SPEAKER_32
transcript.pyannote[2127].start 15064.36034375
transcript.pyannote[2127].end 15064.37721875
transcript.pyannote[2128].speaker SPEAKER_32
transcript.pyannote[2128].start 15064.98471875
transcript.pyannote[2128].end 15065.03534375
transcript.pyannote[2129].speaker SPEAKER_32
transcript.pyannote[2129].start 15065.06909375
transcript.pyannote[2129].end 15065.76096875
transcript.pyannote[2130].speaker SPEAKER_32
transcript.pyannote[2130].start 15066.55409375
transcript.pyannote[2130].end 15066.92534375
transcript.pyannote[2131].speaker SPEAKER_32
transcript.pyannote[2131].start 15066.99284375
transcript.pyannote[2131].end 15067.02659375
transcript.pyannote[2132].speaker SPEAKER_32
transcript.pyannote[2132].start 15067.29659375
transcript.pyannote[2132].end 15067.36409375
transcript.pyannote[2133].speaker SPEAKER_33
transcript.pyannote[2133].start 15067.36409375
transcript.pyannote[2133].end 15067.38096875
transcript.pyannote[2134].speaker SPEAKER_33
transcript.pyannote[2134].start 15067.61721875
transcript.pyannote[2134].end 15067.63409375
transcript.pyannote[2135].speaker SPEAKER_32
transcript.pyannote[2135].start 15067.63409375
transcript.pyannote[2135].end 15067.85346875
transcript.pyannote[2136].speaker SPEAKER_33
transcript.pyannote[2136].start 15067.85346875
transcript.pyannote[2136].end 15068.27534375
transcript.pyannote[2137].speaker SPEAKER_32
transcript.pyannote[2137].start 15068.27534375
transcript.pyannote[2137].end 15068.34284375
transcript.pyannote[2138].speaker SPEAKER_33
transcript.pyannote[2138].start 15071.66721875
transcript.pyannote[2138].end 15072.15659375
transcript.pyannote[2139].speaker SPEAKER_33
transcript.pyannote[2139].start 15072.27471875
transcript.pyannote[2139].end 15073.03409375
transcript.pyannote[2140].speaker SPEAKER_33
transcript.pyannote[2140].start 15073.06784375
transcript.pyannote[2140].end 15073.60784375
transcript.pyannote[2141].speaker SPEAKER_33
transcript.pyannote[2141].start 15073.74284375
transcript.pyannote[2141].end 15074.90721875
transcript.pyannote[2142].speaker SPEAKER_33
transcript.pyannote[2142].start 15074.97471875
transcript.pyannote[2142].end 15075.02534375
transcript.pyannote[2143].speaker SPEAKER_34
transcript.pyannote[2143].start 15075.02534375
transcript.pyannote[2143].end 15075.44721875
transcript.pyannote[2144].speaker SPEAKER_33
transcript.pyannote[2144].start 15075.44721875
transcript.pyannote[2144].end 15075.70034375
transcript.pyannote[2145].speaker SPEAKER_34
transcript.pyannote[2145].start 15075.70034375
transcript.pyannote[2145].end 15080.39159375
transcript.pyannote[2146].speaker SPEAKER_34
transcript.pyannote[2146].start 15080.49284375
transcript.pyannote[2146].end 15081.64034375
transcript.pyannote[2147].speaker SPEAKER_34
transcript.pyannote[2147].start 15081.69096875
transcript.pyannote[2147].end 15081.79221875
transcript.pyannote[2148].speaker SPEAKER_32
transcript.pyannote[2148].start 15082.80471875
transcript.pyannote[2148].end 15083.14221875
transcript.pyannote[2149].speaker SPEAKER_33
transcript.pyannote[2149].start 15083.14221875
transcript.pyannote[2149].end 15083.47971875
transcript.pyannote[2150].speaker SPEAKER_32
transcript.pyannote[2150].start 15083.47971875
transcript.pyannote[2150].end 15083.91846875
transcript.pyannote[2151].speaker SPEAKER_34
transcript.pyannote[2151].start 15085.03221875
transcript.pyannote[2151].end 15085.08284375
transcript.pyannote[2152].speaker SPEAKER_04
transcript.pyannote[2152].start 15085.08284375
transcript.pyannote[2152].end 15085.62284375
transcript.pyannote[2153].speaker SPEAKER_04
transcript.pyannote[2153].start 15085.90971875
transcript.pyannote[2153].end 15086.09534375
transcript.pyannote[2154].speaker SPEAKER_04
transcript.pyannote[2154].start 15086.14596875
transcript.pyannote[2154].end 15086.23034375
transcript.pyannote[2155].speaker SPEAKER_04
transcript.pyannote[2155].start 15086.28096875
transcript.pyannote[2155].end 15086.33159375
transcript.pyannote[2156].speaker SPEAKER_04
transcript.pyannote[2156].start 15086.58471875
transcript.pyannote[2156].end 15086.61846875
transcript.pyannote[2157].speaker SPEAKER_04
transcript.pyannote[2157].start 15088.54221875
transcript.pyannote[2157].end 15088.71096875
transcript.pyannote[2158].speaker SPEAKER_04
transcript.pyannote[2158].start 15088.74471875
transcript.pyannote[2158].end 15089.45346875
transcript.pyannote[2159].speaker SPEAKER_04
transcript.pyannote[2159].start 15089.62221875
transcript.pyannote[2159].end 15089.65596875
transcript.pyannote[2160].speaker SPEAKER_37
transcript.pyannote[2160].start 15096.89534375
transcript.pyannote[2160].end 15097.11471875
transcript.pyannote[2161].speaker SPEAKER_10
transcript.pyannote[2161].start 15165.10409375
transcript.pyannote[2161].end 15169.35659375
transcript.pyannote[2162].speaker SPEAKER_10
transcript.pyannote[2162].start 15169.55909375
transcript.pyannote[2162].end 15173.00159375
transcript.pyannote[2163].speaker SPEAKER_10
transcript.pyannote[2163].start 15173.23784375
transcript.pyannote[2163].end 15179.02596875
transcript.pyannote[2164].speaker SPEAKER_10
transcript.pyannote[2164].start 15179.63346875
transcript.pyannote[2164].end 15187.36221875
transcript.pyannote[2165].speaker SPEAKER_10
transcript.pyannote[2165].start 15188.22284375
transcript.pyannote[2165].end 15194.53409375
transcript.pyannote[2166].speaker SPEAKER_10
transcript.pyannote[2166].start 15195.49596875
transcript.pyannote[2166].end 15207.24096875
transcript.pyannote[2167].speaker SPEAKER_10
transcript.pyannote[2167].start 15207.69659375
transcript.pyannote[2167].end 15208.74284375
transcript.pyannote[2168].speaker SPEAKER_10
transcript.pyannote[2168].start 15209.73846875
transcript.pyannote[2168].end 15212.75909375
transcript.pyannote[2169].speaker SPEAKER_09
transcript.pyannote[2169].start 15211.13909375
transcript.pyannote[2169].end 15211.99971875
transcript.pyannote[2170].speaker SPEAKER_09
transcript.pyannote[2170].start 15212.75909375
transcript.pyannote[2170].end 15212.86034375
transcript.pyannote[2171].speaker SPEAKER_32
transcript.pyannote[2171].start 15213.50159375
transcript.pyannote[2171].end 15216.85971875
transcript.pyannote[2172].speaker SPEAKER_10
transcript.pyannote[2172].start 15217.07909375
transcript.pyannote[2172].end 15227.33909375
transcript.pyannote[2173].speaker SPEAKER_10
transcript.pyannote[2173].start 15228.48659375
transcript.pyannote[2173].end 15234.42659375
transcript.pyannote[2174].speaker SPEAKER_24
transcript.pyannote[2174].start 15232.92471875
transcript.pyannote[2174].end 15232.94159375
transcript.pyannote[2175].speaker SPEAKER_32
transcript.pyannote[2175].start 15233.58284375
transcript.pyannote[2175].end 15233.61659375
transcript.pyannote[2176].speaker SPEAKER_24
transcript.pyannote[2176].start 15233.61659375
transcript.pyannote[2176].end 15235.03409375
transcript.pyannote[2177].speaker SPEAKER_10
transcript.pyannote[2177].start 15235.03409375
transcript.pyannote[2177].end 15235.67534375
transcript.pyannote[2178].speaker SPEAKER_24
transcript.pyannote[2178].start 15235.05096875
transcript.pyannote[2178].end 15235.11846875
transcript.pyannote[2179].speaker SPEAKER_10
transcript.pyannote[2179].start 15235.77659375
transcript.pyannote[2179].end 15259.67159375
transcript.pyannote[2180].speaker SPEAKER_24
transcript.pyannote[2180].start 15235.99596875
transcript.pyannote[2180].end 15236.43471875
transcript.pyannote[2181].speaker SPEAKER_32
transcript.pyannote[2181].start 15236.43471875
transcript.pyannote[2181].end 15236.46846875
transcript.pyannote[2182].speaker SPEAKER_10
transcript.pyannote[2182].start 15262.87784375
transcript.pyannote[2182].end 15272.39534375
transcript.pyannote[2183].speaker SPEAKER_10
transcript.pyannote[2183].start 15272.44596875
transcript.pyannote[2183].end 15272.83409375
transcript.pyannote[2184].speaker SPEAKER_10
transcript.pyannote[2184].start 15273.08721875
transcript.pyannote[2184].end 15275.21346875
transcript.pyannote[2185].speaker SPEAKER_10
transcript.pyannote[2185].start 15275.95596875
transcript.pyannote[2185].end 15276.42846875
transcript.pyannote[2186].speaker SPEAKER_10
transcript.pyannote[2186].start 15288.22409375
transcript.pyannote[2186].end 15295.51409375
transcript.pyannote[2187].speaker SPEAKER_08
transcript.pyannote[2187].start 15293.97846875
transcript.pyannote[2187].end 15294.80534375
transcript.pyannote[2188].speaker SPEAKER_09
transcript.pyannote[2188].start 15294.80534375
transcript.pyannote[2188].end 15294.85596875
transcript.pyannote[2189].speaker SPEAKER_09
transcript.pyannote[2189].start 15295.51409375
transcript.pyannote[2189].end 15299.29409375
transcript.pyannote[2190].speaker SPEAKER_11
transcript.pyannote[2190].start 15299.29409375
transcript.pyannote[2190].end 15299.39534375
transcript.pyannote[2191].speaker SPEAKER_32
transcript.pyannote[2191].start 15301.97721875
transcript.pyannote[2191].end 15302.02784375
transcript.pyannote[2192].speaker SPEAKER_11
transcript.pyannote[2192].start 15303.14159375
transcript.pyannote[2192].end 15303.22596875
transcript.pyannote[2193].speaker SPEAKER_31
transcript.pyannote[2193].start 15311.10659375
transcript.pyannote[2193].end 15314.85284375
transcript.pyannote[2194].speaker SPEAKER_14
transcript.pyannote[2194].start 15313.36784375
transcript.pyannote[2194].end 15314.21159375
transcript.pyannote[2195].speaker SPEAKER_10
transcript.pyannote[2195].start 15314.21159375
transcript.pyannote[2195].end 15314.59971875
transcript.pyannote[2196].speaker SPEAKER_14
transcript.pyannote[2196].start 15314.59971875
transcript.pyannote[2196].end 15314.76846875
transcript.pyannote[2197].speaker SPEAKER_14
transcript.pyannote[2197].start 15314.85284375
transcript.pyannote[2197].end 15314.95409375
transcript.pyannote[2198].speaker SPEAKER_10
transcript.pyannote[2198].start 15314.95409375
transcript.pyannote[2198].end 15314.98784375
transcript.pyannote[2199].speaker SPEAKER_14
transcript.pyannote[2199].start 15314.98784375
transcript.pyannote[2199].end 15315.00471875
transcript.pyannote[2200].speaker SPEAKER_31
transcript.pyannote[2200].start 15315.00471875
transcript.pyannote[2200].end 15315.20721875
transcript.pyannote[2201].speaker SPEAKER_14
transcript.pyannote[2201].start 15315.20721875
transcript.pyannote[2201].end 15315.76409375
transcript.pyannote[2202].speaker SPEAKER_14
transcript.pyannote[2202].start 15316.32096875
transcript.pyannote[2202].end 15316.91159375
transcript.pyannote[2203].speaker SPEAKER_10
transcript.pyannote[2203].start 15316.91159375
transcript.pyannote[2203].end 15317.56971875
transcript.pyannote[2204].speaker SPEAKER_10
transcript.pyannote[2204].start 15318.09284375
transcript.pyannote[2204].end 15322.85159375
transcript.pyannote[2205].speaker SPEAKER_10
transcript.pyannote[2205].start 15323.99909375
transcript.pyannote[2205].end 15334.07346875
transcript.pyannote[2206].speaker SPEAKER_10
transcript.pyannote[2206].start 15334.61346875
transcript.pyannote[2206].end 15336.57096875
transcript.pyannote[2207].speaker SPEAKER_10
transcript.pyannote[2207].start 15338.32596875
transcript.pyannote[2207].end 15341.05971875
transcript.pyannote[2208].speaker SPEAKER_15
transcript.pyannote[2208].start 15343.37159375
transcript.pyannote[2208].end 15356.87159375
transcript.pyannote[2209].speaker SPEAKER_15
transcript.pyannote[2209].start 15357.12471875
transcript.pyannote[2209].end 15361.36034375
transcript.pyannote[2210].speaker SPEAKER_15
transcript.pyannote[2210].start 15361.56284375
transcript.pyannote[2210].end 15369.13971875
transcript.pyannote[2211].speaker SPEAKER_15
transcript.pyannote[2211].start 15369.29159375
transcript.pyannote[2211].end 15373.29096875
transcript.pyannote[2212].speaker SPEAKER_15
transcript.pyannote[2212].start 15373.51034375
transcript.pyannote[2212].end 15384.90096875
transcript.pyannote[2213].speaker SPEAKER_15
transcript.pyannote[2213].start 15385.17096875
transcript.pyannote[2213].end 15390.45284375
transcript.pyannote[2214].speaker SPEAKER_15
transcript.pyannote[2214].start 15390.58784375
transcript.pyannote[2214].end 15392.02221875
transcript.pyannote[2215].speaker SPEAKER_15
transcript.pyannote[2215].start 15392.93346875
transcript.pyannote[2215].end 15400.86471875
transcript.pyannote[2216].speaker SPEAKER_15
transcript.pyannote[2216].start 15402.21471875
transcript.pyannote[2216].end 15408.91409375
transcript.pyannote[2217].speaker SPEAKER_15
transcript.pyannote[2217].start 15409.52159375
transcript.pyannote[2217].end 15412.23846875
transcript.pyannote[2218].speaker SPEAKER_15
transcript.pyannote[2218].start 15412.71096875
transcript.pyannote[2218].end 15423.42659375
transcript.pyannote[2219].speaker SPEAKER_15
transcript.pyannote[2219].start 15423.61221875
transcript.pyannote[2219].end 15426.00846875
transcript.pyannote[2220].speaker SPEAKER_15
transcript.pyannote[2220].start 15426.27846875
transcript.pyannote[2220].end 15430.49721875
transcript.pyannote[2221].speaker SPEAKER_15
transcript.pyannote[2221].start 15430.98659375
transcript.pyannote[2221].end 15433.87221875
transcript.pyannote[2222].speaker SPEAKER_15
transcript.pyannote[2222].start 15433.97346875
transcript.pyannote[2222].end 15439.10346875
transcript.pyannote[2223].speaker SPEAKER_15
transcript.pyannote[2223].start 15439.25534375
transcript.pyannote[2223].end 15450.20721875
transcript.pyannote[2224].speaker SPEAKER_15
transcript.pyannote[2224].start 15450.78096875
transcript.pyannote[2224].end 15458.45909375
transcript.pyannote[2225].speaker SPEAKER_15
transcript.pyannote[2225].start 15458.96534375
transcript.pyannote[2225].end 15460.77096875
transcript.pyannote[2226].speaker SPEAKER_15
transcript.pyannote[2226].start 15461.02409375
transcript.pyannote[2226].end 15474.40596875
transcript.pyannote[2227].speaker SPEAKER_15
transcript.pyannote[2227].start 15474.81096875
transcript.pyannote[2227].end 15477.81471875
transcript.pyannote[2228].speaker SPEAKER_15
transcript.pyannote[2228].start 15477.94971875
transcript.pyannote[2228].end 15494.45346875
transcript.pyannote[2229].speaker SPEAKER_15
transcript.pyannote[2229].start 15494.90909375
transcript.pyannote[2229].end 15501.89534375
transcript.pyannote[2230].speaker SPEAKER_15
transcript.pyannote[2230].start 15502.38471875
transcript.pyannote[2230].end 15527.03909375
transcript.pyannote[2231].speaker SPEAKER_15
transcript.pyannote[2231].start 15527.42721875
transcript.pyannote[2231].end 15531.98346875
transcript.pyannote[2232].speaker SPEAKER_15
transcript.pyannote[2232].start 15532.55721875
transcript.pyannote[2232].end 15540.37034375
transcript.pyannote[2233].speaker SPEAKER_15
transcript.pyannote[2233].start 15541.53471875
transcript.pyannote[2233].end 15555.05159375
transcript.pyannote[2234].speaker SPEAKER_15
transcript.pyannote[2234].start 15555.35534375
transcript.pyannote[2234].end 15561.93659375
transcript.pyannote[2235].speaker SPEAKER_15
transcript.pyannote[2235].start 15562.39221875
transcript.pyannote[2235].end 15566.29034375
transcript.pyannote[2236].speaker SPEAKER_15
transcript.pyannote[2236].start 15566.49284375
transcript.pyannote[2236].end 15570.25596875
transcript.pyannote[2237].speaker SPEAKER_15
transcript.pyannote[2237].start 15570.42471875
transcript.pyannote[2237].end 15580.97159375
transcript.pyannote[2238].speaker SPEAKER_15
transcript.pyannote[2238].start 15581.25846875
transcript.pyannote[2238].end 15582.28784375
transcript.pyannote[2239].speaker SPEAKER_15
transcript.pyannote[2239].start 15582.45659375
transcript.pyannote[2239].end 15583.78971875
transcript.pyannote[2240].speaker SPEAKER_15
transcript.pyannote[2240].start 15584.02596875
transcript.pyannote[2240].end 15590.30346875
transcript.pyannote[2241].speaker SPEAKER_15
transcript.pyannote[2241].start 15590.45534375
transcript.pyannote[2241].end 15592.17659375
transcript.pyannote[2242].speaker SPEAKER_15
transcript.pyannote[2242].start 15592.42971875
transcript.pyannote[2242].end 15593.93159375
transcript.pyannote[2243].speaker SPEAKER_15
transcript.pyannote[2243].start 15594.13409375
transcript.pyannote[2243].end 15609.28784375
transcript.pyannote[2244].speaker SPEAKER_15
transcript.pyannote[2244].start 15610.21596875
transcript.pyannote[2244].end 15617.97846875
transcript.pyannote[2245].speaker SPEAKER_15
transcript.pyannote[2245].start 15619.12596875
transcript.pyannote[2245].end 15625.16721875
transcript.pyannote[2246].speaker SPEAKER_15
transcript.pyannote[2246].start 15625.99409375
transcript.pyannote[2246].end 15636.25409375
transcript.pyannote[2247].speaker SPEAKER_15
transcript.pyannote[2247].start 15636.79409375
transcript.pyannote[2247].end 15643.76346875
transcript.pyannote[2248].speaker SPEAKER_15
transcript.pyannote[2248].start 15644.11784375
transcript.pyannote[2248].end 15651.64409375
transcript.pyannote[2249].speaker SPEAKER_15
transcript.pyannote[2249].start 15652.33596875
transcript.pyannote[2249].end 15653.78721875
transcript.pyannote[2250].speaker SPEAKER_15
transcript.pyannote[2250].start 15654.39471875
transcript.pyannote[2250].end 15676.28159375
transcript.pyannote[2251].speaker SPEAKER_15
transcript.pyannote[2251].start 15676.36596875
transcript.pyannote[2251].end 15681.98534375
transcript.pyannote[2252].speaker SPEAKER_15
transcript.pyannote[2252].start 15682.49159375
transcript.pyannote[2252].end 15695.45159375
transcript.pyannote[2253].speaker SPEAKER_15
transcript.pyannote[2253].start 15695.68784375
transcript.pyannote[2253].end 15715.34721875
transcript.pyannote[2254].speaker SPEAKER_15
transcript.pyannote[2254].start 15715.78596875
transcript.pyannote[2254].end 15728.64471875
transcript.pyannote[2255].speaker SPEAKER_15
transcript.pyannote[2255].start 15729.10034375
transcript.pyannote[2255].end 15730.99034375
transcript.pyannote[2256].speaker SPEAKER_15
transcript.pyannote[2256].start 15731.19284375
transcript.pyannote[2256].end 15732.28971875
transcript.pyannote[2257].speaker SPEAKER_15
transcript.pyannote[2257].start 15732.44159375
transcript.pyannote[2257].end 15738.36471875
transcript.pyannote[2258].speaker SPEAKER_15
transcript.pyannote[2258].start 15738.93846875
transcript.pyannote[2258].end 15744.32159375
transcript.pyannote[2259].speaker SPEAKER_15
transcript.pyannote[2259].start 15745.01346875
transcript.pyannote[2259].end 15755.94846875
transcript.pyannote[2260].speaker SPEAKER_15
transcript.pyannote[2260].start 15756.48846875
transcript.pyannote[2260].end 15762.98534375
transcript.pyannote[2261].speaker SPEAKER_15
transcript.pyannote[2261].start 15763.67721875
transcript.pyannote[2261].end 15770.51159375
transcript.pyannote[2262].speaker SPEAKER_15
transcript.pyannote[2262].start 15770.54534375
transcript.pyannote[2262].end 15773.00909375
transcript.pyannote[2263].speaker SPEAKER_15
transcript.pyannote[2263].start 15773.36346875
transcript.pyannote[2263].end 15775.84409375
transcript.pyannote[2264].speaker SPEAKER_15
transcript.pyannote[2264].start 15776.50221875
transcript.pyannote[2264].end 15784.19721875
transcript.pyannote[2265].speaker SPEAKER_15
transcript.pyannote[2265].start 15784.70346875
transcript.pyannote[2265].end 15804.78471875
transcript.pyannote[2266].speaker SPEAKER_15
transcript.pyannote[2266].start 15805.20659375
transcript.pyannote[2266].end 15814.31909375
transcript.pyannote[2267].speaker SPEAKER_15
transcript.pyannote[2267].start 15815.70284375
transcript.pyannote[2267].end 15825.22034375
transcript.pyannote[2268].speaker SPEAKER_15
transcript.pyannote[2268].start 15825.70971875
transcript.pyannote[2268].end 15827.19471875
transcript.pyannote[2269].speaker SPEAKER_15
transcript.pyannote[2269].start 15827.71784375
transcript.pyannote[2269].end 15835.86846875
transcript.pyannote[2270].speaker SPEAKER_15
transcript.pyannote[2270].start 15836.10471875
transcript.pyannote[2270].end 15839.05784375
transcript.pyannote[2271].speaker SPEAKER_15
transcript.pyannote[2271].start 15839.46284375
transcript.pyannote[2271].end 15844.08659375
transcript.pyannote[2272].speaker SPEAKER_15
transcript.pyannote[2272].start 15844.10346875
transcript.pyannote[2272].end 15846.76971875
transcript.pyannote[2273].speaker SPEAKER_15
transcript.pyannote[2273].start 15847.00596875
transcript.pyannote[2273].end 15848.49096875
transcript.pyannote[2274].speaker SPEAKER_15
transcript.pyannote[2274].start 15848.54159375
transcript.pyannote[2274].end 15854.07659375
transcript.pyannote[2275].speaker SPEAKER_15
transcript.pyannote[2275].start 15854.73471875
transcript.pyannote[2275].end 15857.04659375
transcript.pyannote[2276].speaker SPEAKER_15
transcript.pyannote[2276].start 15857.40096875
transcript.pyannote[2276].end 15861.73784375
transcript.pyannote[2277].speaker SPEAKER_15
transcript.pyannote[2277].start 15861.85596875
transcript.pyannote[2277].end 15864.89346875
transcript.pyannote[2278].speaker SPEAKER_15
transcript.pyannote[2278].start 15865.11284375
transcript.pyannote[2278].end 15869.61846875
transcript.pyannote[2279].speaker SPEAKER_15
transcript.pyannote[2279].start 15869.92221875
transcript.pyannote[2279].end 15872.50409375
transcript.pyannote[2280].speaker SPEAKER_15
transcript.pyannote[2280].start 15872.60534375
transcript.pyannote[2280].end 15874.19159375
transcript.pyannote[2281].speaker SPEAKER_15
transcript.pyannote[2281].start 15874.39409375
transcript.pyannote[2281].end 15876.92534375
transcript.pyannote[2282].speaker SPEAKER_15
transcript.pyannote[2282].start 15877.31346875
transcript.pyannote[2282].end 15881.17784375
transcript.pyannote[2283].speaker SPEAKER_15
transcript.pyannote[2283].start 15881.65034375
transcript.pyannote[2283].end 15886.35846875
transcript.pyannote[2284].speaker SPEAKER_15
transcript.pyannote[2284].start 15886.67909375
transcript.pyannote[2284].end 15888.06284375
transcript.pyannote[2285].speaker SPEAKER_15
transcript.pyannote[2285].start 15889.22721875
transcript.pyannote[2285].end 15890.88096875
transcript.pyannote[2286].speaker SPEAKER_15
transcript.pyannote[2286].start 15893.00721875
transcript.pyannote[2286].end 15894.28971875
transcript.pyannote[2287].speaker SPEAKER_15
transcript.pyannote[2287].start 15894.57659375
transcript.pyannote[2287].end 15897.04034375
transcript.pyannote[2288].speaker SPEAKER_15
transcript.pyannote[2288].start 15897.42846875
transcript.pyannote[2288].end 15903.68909375
transcript.pyannote[2289].speaker SPEAKER_15
transcript.pyannote[2289].start 15903.99284375
transcript.pyannote[2289].end 15909.39284375
transcript.pyannote[2290].speaker SPEAKER_15
transcript.pyannote[2290].start 15909.73034375
transcript.pyannote[2290].end 15913.02096875
transcript.pyannote[2291].speaker SPEAKER_10
transcript.pyannote[2291].start 15918.55596875
transcript.pyannote[2291].end 15954.28034375
transcript.pyannote[2292].speaker SPEAKER_08
transcript.pyannote[2292].start 15954.43221875
transcript.pyannote[2292].end 15956.42346875
transcript.pyannote[2293].speaker SPEAKER_10
transcript.pyannote[2293].start 15956.42346875
transcript.pyannote[2293].end 15963.12284375
transcript.pyannote[2294].speaker SPEAKER_08
transcript.pyannote[2294].start 15956.50784375
transcript.pyannote[2294].end 15956.54159375
transcript.pyannote[2295].speaker SPEAKER_08
transcript.pyannote[2295].start 15956.82846875
transcript.pyannote[2295].end 15956.91284375
transcript.pyannote[2296].speaker SPEAKER_31
transcript.pyannote[2296].start 15964.96221875
transcript.pyannote[2296].end 15965.41784375
transcript.pyannote[2297].speaker SPEAKER_31
transcript.pyannote[2297].start 15965.70471875
transcript.pyannote[2297].end 15968.57346875
transcript.pyannote[2298].speaker SPEAKER_10
transcript.pyannote[2298].start 15969.70409375
transcript.pyannote[2298].end 15980.28471875
transcript.pyannote[2299].speaker SPEAKER_21
transcript.pyannote[2299].start 15981.09471875
transcript.pyannote[2299].end 16011.65534375
transcript.pyannote[2300].speaker SPEAKER_23
transcript.pyannote[2300].start 16013.56221875
transcript.pyannote[2300].end 16013.83221875
transcript.pyannote[2301].speaker SPEAKER_10
transcript.pyannote[2301].start 16017.22409375
transcript.pyannote[2301].end 16019.72159375
transcript.pyannote[2302].speaker SPEAKER_23
transcript.pyannote[2302].start 16020.70034375
transcript.pyannote[2302].end 16021.45971875
transcript.pyannote[2303].speaker SPEAKER_23
transcript.pyannote[2303].start 16022.03346875
transcript.pyannote[2303].end 16022.05034375
transcript.pyannote[2304].speaker SPEAKER_10
transcript.pyannote[2304].start 16022.05034375
transcript.pyannote[2304].end 16022.08409375
transcript.pyannote[2305].speaker SPEAKER_23
transcript.pyannote[2305].start 16022.08409375
transcript.pyannote[2305].end 16023.36659375
transcript.pyannote[2306].speaker SPEAKER_10
transcript.pyannote[2306].start 16023.36659375
transcript.pyannote[2306].end 16023.41721875
transcript.pyannote[2307].speaker SPEAKER_23
transcript.pyannote[2307].start 16023.41721875
transcript.pyannote[2307].end 16024.00784375
transcript.pyannote[2308].speaker SPEAKER_23
transcript.pyannote[2308].start 16024.22721875
transcript.pyannote[2308].end 16049.87721875
transcript.pyannote[2309].speaker SPEAKER_23
transcript.pyannote[2309].start 16050.28221875
transcript.pyannote[2309].end 16059.31034375
transcript.pyannote[2310].speaker SPEAKER_21
transcript.pyannote[2310].start 16059.73221875
transcript.pyannote[2310].end 16061.87534375
transcript.pyannote[2311].speaker SPEAKER_23
transcript.pyannote[2311].start 16062.24659375
transcript.pyannote[2311].end 16062.75284375
transcript.pyannote[2312].speaker SPEAKER_23
transcript.pyannote[2312].start 16063.39409375
transcript.pyannote[2312].end 16064.91284375
transcript.pyannote[2313].speaker SPEAKER_21
transcript.pyannote[2313].start 16063.59659375
transcript.pyannote[2313].end 16064.28846875
transcript.pyannote[2314].speaker SPEAKER_21
transcript.pyannote[2314].start 16065.57096875
transcript.pyannote[2314].end 16067.20784375
transcript.pyannote[2315].speaker SPEAKER_23
transcript.pyannote[2315].start 16066.39784375
transcript.pyannote[2315].end 16070.78534375
transcript.pyannote[2316].speaker SPEAKER_21
transcript.pyannote[2316].start 16070.85284375
transcript.pyannote[2316].end 16077.33284375
transcript.pyannote[2317].speaker SPEAKER_23
transcript.pyannote[2317].start 16076.82659375
transcript.pyannote[2317].end 16080.28596875
transcript.pyannote[2318].speaker SPEAKER_21
transcript.pyannote[2318].start 16080.42096875
transcript.pyannote[2318].end 16084.89284375
transcript.pyannote[2319].speaker SPEAKER_23
transcript.pyannote[2319].start 16080.97784375
transcript.pyannote[2319].end 16081.39971875
transcript.pyannote[2320].speaker SPEAKER_21
transcript.pyannote[2320].start 16085.73659375
transcript.pyannote[2320].end 16105.68284375
transcript.pyannote[2321].speaker SPEAKER_21
transcript.pyannote[2321].start 16106.79659375
transcript.pyannote[2321].end 16107.48846875
transcript.pyannote[2322].speaker SPEAKER_21
transcript.pyannote[2322].start 16107.97784375
transcript.pyannote[2322].end 16136.05784375
transcript.pyannote[2323].speaker SPEAKER_23
transcript.pyannote[2323].start 16136.29409375
transcript.pyannote[2323].end 16139.28096875
transcript.pyannote[2324].speaker SPEAKER_23
transcript.pyannote[2324].start 16139.68596875
transcript.pyannote[2324].end 16145.27159375
transcript.pyannote[2325].speaker SPEAKER_23
transcript.pyannote[2325].start 16145.65971875
transcript.pyannote[2325].end 16148.46096875
transcript.pyannote[2326].speaker SPEAKER_23
transcript.pyannote[2326].start 16149.43971875
transcript.pyannote[2326].end 16151.12721875
transcript.pyannote[2327].speaker SPEAKER_23
transcript.pyannote[2327].start 16151.26221875
transcript.pyannote[2327].end 16153.11846875
transcript.pyannote[2328].speaker SPEAKER_23
transcript.pyannote[2328].start 16156.17284375
transcript.pyannote[2328].end 16156.45971875
transcript.pyannote[2329].speaker SPEAKER_23
transcript.pyannote[2329].start 16158.68721875
transcript.pyannote[2329].end 16163.09159375
transcript.pyannote[2330].speaker SPEAKER_23
transcript.pyannote[2330].start 16163.73284375
transcript.pyannote[2330].end 16166.33159375
transcript.pyannote[2331].speaker SPEAKER_23
transcript.pyannote[2331].start 16166.77034375
transcript.pyannote[2331].end 16170.04409375
transcript.pyannote[2332].speaker SPEAKER_23
transcript.pyannote[2332].start 16170.41534375
transcript.pyannote[2332].end 16174.73534375
transcript.pyannote[2333].speaker SPEAKER_23
transcript.pyannote[2333].start 16175.44409375
transcript.pyannote[2333].end 16176.27096875
transcript.pyannote[2334].speaker SPEAKER_23
transcript.pyannote[2334].start 16176.84471875
transcript.pyannote[2334].end 16193.06159375
transcript.pyannote[2335].speaker SPEAKER_21
transcript.pyannote[2335].start 16193.39909375
transcript.pyannote[2335].end 16195.66034375
transcript.pyannote[2336].speaker SPEAKER_23
transcript.pyannote[2336].start 16195.42409375
transcript.pyannote[2336].end 16198.83284375
transcript.pyannote[2337].speaker SPEAKER_23
transcript.pyannote[2337].start 16199.30534375
transcript.pyannote[2337].end 16199.42346875
transcript.pyannote[2338].speaker SPEAKER_21
transcript.pyannote[2338].start 16200.40221875
transcript.pyannote[2338].end 16203.62534375
transcript.pyannote[2339].speaker SPEAKER_23
transcript.pyannote[2339].start 16203.15284375
transcript.pyannote[2339].end 16213.48034375
transcript.pyannote[2340].speaker SPEAKER_23
transcript.pyannote[2340].start 16214.27346875
transcript.pyannote[2340].end 16218.64409375
transcript.pyannote[2341].speaker SPEAKER_21
transcript.pyannote[2341].start 16219.38659375
transcript.pyannote[2341].end 16230.22034375
transcript.pyannote[2342].speaker SPEAKER_23
transcript.pyannote[2342].start 16230.47346875
transcript.pyannote[2342].end 16234.15221875
transcript.pyannote[2343].speaker SPEAKER_23
transcript.pyannote[2343].start 16234.55721875
transcript.pyannote[2343].end 16244.27721875
transcript.pyannote[2344].speaker SPEAKER_13
transcript.pyannote[2344].start 16244.10846875
transcript.pyannote[2344].end 16244.26034375
transcript.pyannote[2345].speaker SPEAKER_13
transcript.pyannote[2345].start 16244.27721875
transcript.pyannote[2345].end 16244.31096875
transcript.pyannote[2346].speaker SPEAKER_21
transcript.pyannote[2346].start 16244.31096875
transcript.pyannote[2346].end 16244.34471875
transcript.pyannote[2347].speaker SPEAKER_13
transcript.pyannote[2347].start 16244.34471875
transcript.pyannote[2347].end 16244.36159375
transcript.pyannote[2348].speaker SPEAKER_21
transcript.pyannote[2348].start 16244.36159375
transcript.pyannote[2348].end 16244.95221875
transcript.pyannote[2349].speaker SPEAKER_13
transcript.pyannote[2349].start 16244.95221875
transcript.pyannote[2349].end 16245.71159375
transcript.pyannote[2350].speaker SPEAKER_13
transcript.pyannote[2350].start 16246.08284375
transcript.pyannote[2350].end 16251.58409375
transcript.pyannote[2351].speaker SPEAKER_13
transcript.pyannote[2351].start 16251.97221875
transcript.pyannote[2351].end 16255.93784375
transcript.pyannote[2352].speaker SPEAKER_13
transcript.pyannote[2352].start 16256.03909375
transcript.pyannote[2352].end 16268.66159375
transcript.pyannote[2353].speaker SPEAKER_13
transcript.pyannote[2353].start 16269.18471875
transcript.pyannote[2353].end 16275.04034375
transcript.pyannote[2354].speaker SPEAKER_13
transcript.pyannote[2354].start 16275.42846875
transcript.pyannote[2354].end 16284.64221875
transcript.pyannote[2355].speaker SPEAKER_13
transcript.pyannote[2355].start 16284.65909375
transcript.pyannote[2355].end 16291.88159375
transcript.pyannote[2356].speaker SPEAKER_13
transcript.pyannote[2356].start 16292.35409375
transcript.pyannote[2356].end 16292.96159375
transcript.pyannote[2357].speaker SPEAKER_13
transcript.pyannote[2357].start 16293.31596875
transcript.pyannote[2357].end 16297.34909375
transcript.pyannote[2358].speaker SPEAKER_13
transcript.pyannote[2358].start 16297.58534375
transcript.pyannote[2358].end 16301.46659375
transcript.pyannote[2359].speaker SPEAKER_13
transcript.pyannote[2359].start 16301.58471875
transcript.pyannote[2359].end 16302.79971875
transcript.pyannote[2360].speaker SPEAKER_13
transcript.pyannote[2360].start 16303.03596875
transcript.pyannote[2360].end 16303.62659375
transcript.pyannote[2361].speaker SPEAKER_13
transcript.pyannote[2361].start 16303.96409375
transcript.pyannote[2361].end 16307.64284375
transcript.pyannote[2362].speaker SPEAKER_13
transcript.pyannote[2362].start 16307.82846875
transcript.pyannote[2362].end 16314.79784375
transcript.pyannote[2363].speaker SPEAKER_13
transcript.pyannote[2363].start 16315.05096875
transcript.pyannote[2363].end 16317.54846875
transcript.pyannote[2364].speaker SPEAKER_13
transcript.pyannote[2364].start 16317.95346875
transcript.pyannote[2364].end 16322.13846875
transcript.pyannote[2365].speaker SPEAKER_13
transcript.pyannote[2365].start 16322.67846875
transcript.pyannote[2365].end 16322.98221875
transcript.pyannote[2366].speaker SPEAKER_13
transcript.pyannote[2366].start 16323.23534375
transcript.pyannote[2366].end 16326.72846875
transcript.pyannote[2367].speaker SPEAKER_13
transcript.pyannote[2367].start 16327.57221875
transcript.pyannote[2367].end 16328.16284375
transcript.pyannote[2368].speaker SPEAKER_13
transcript.pyannote[2368].start 16328.33159375
transcript.pyannote[2368].end 16329.44534375
transcript.pyannote[2369].speaker SPEAKER_13
transcript.pyannote[2369].start 16329.64784375
transcript.pyannote[2369].end 16330.47471875
transcript.pyannote[2370].speaker SPEAKER_13
transcript.pyannote[2370].start 16330.64346875
transcript.pyannote[2370].end 16335.45284375
transcript.pyannote[2371].speaker SPEAKER_13
transcript.pyannote[2371].start 16335.55409375
transcript.pyannote[2371].end 16336.48221875
transcript.pyannote[2372].speaker SPEAKER_13
transcript.pyannote[2372].start 16336.80284375
transcript.pyannote[2372].end 16344.17721875
transcript.pyannote[2373].speaker SPEAKER_13
transcript.pyannote[2373].start 16344.26159375
transcript.pyannote[2373].end 16347.53534375
transcript.pyannote[2374].speaker SPEAKER_13
transcript.pyannote[2374].start 16347.85596875
transcript.pyannote[2374].end 16349.00346875
transcript.pyannote[2375].speaker SPEAKER_13
transcript.pyannote[2375].start 16349.39159375
transcript.pyannote[2375].end 16353.98159375
transcript.pyannote[2376].speaker SPEAKER_13
transcript.pyannote[2376].start 16354.38659375
transcript.pyannote[2376].end 16360.03971875
transcript.pyannote[2377].speaker SPEAKER_13
transcript.pyannote[2377].start 16360.34346875
transcript.pyannote[2377].end 16361.69346875
transcript.pyannote[2378].speaker SPEAKER_13
transcript.pyannote[2378].start 16361.98034375
transcript.pyannote[2378].end 16368.05534375
transcript.pyannote[2379].speaker SPEAKER_13
transcript.pyannote[2379].start 16368.39284375
transcript.pyannote[2379].end 16371.80159375
transcript.pyannote[2380].speaker SPEAKER_13
transcript.pyannote[2380].start 16372.35846875
transcript.pyannote[2380].end 16376.25659375
transcript.pyannote[2381].speaker SPEAKER_13
transcript.pyannote[2381].start 16376.61096875
transcript.pyannote[2381].end 16380.01971875
transcript.pyannote[2382].speaker SPEAKER_13
transcript.pyannote[2382].start 16380.79596875
transcript.pyannote[2382].end 16386.56721875
transcript.pyannote[2383].speaker SPEAKER_13
transcript.pyannote[2383].start 16386.97221875
transcript.pyannote[2383].end 16393.08096875
transcript.pyannote[2384].speaker SPEAKER_13
transcript.pyannote[2384].start 16393.40159375
transcript.pyannote[2384].end 16396.70909375
transcript.pyannote[2385].speaker SPEAKER_13
transcript.pyannote[2385].start 16396.96221875
transcript.pyannote[2385].end 16402.59846875
transcript.pyannote[2386].speaker SPEAKER_13
transcript.pyannote[2386].start 16402.90221875
transcript.pyannote[2386].end 16404.74159375
transcript.pyannote[2387].speaker SPEAKER_13
transcript.pyannote[2387].start 16405.68659375
transcript.pyannote[2387].end 16412.28471875
transcript.pyannote[2388].speaker SPEAKER_13
transcript.pyannote[2388].start 16412.47034375
transcript.pyannote[2388].end 16418.42721875
transcript.pyannote[2389].speaker SPEAKER_13
transcript.pyannote[2389].start 16418.76471875
transcript.pyannote[2389].end 16420.41846875
transcript.pyannote[2390].speaker SPEAKER_13
transcript.pyannote[2390].start 16421.58284375
transcript.pyannote[2390].end 16423.11846875
transcript.pyannote[2391].speaker SPEAKER_13
transcript.pyannote[2391].start 16423.37159375
transcript.pyannote[2391].end 16429.56471875
transcript.pyannote[2392].speaker SPEAKER_21
transcript.pyannote[2392].start 16432.97346875
transcript.pyannote[2392].end 16442.98034375
transcript.pyannote[2393].speaker SPEAKER_13
transcript.pyannote[2393].start 16433.46284375
transcript.pyannote[2393].end 16433.90159375
transcript.pyannote[2394].speaker SPEAKER_23
transcript.pyannote[2394].start 16441.54596875
transcript.pyannote[2394].end 16445.52846875
transcript.pyannote[2395].speaker SPEAKER_21
transcript.pyannote[2395].start 16445.61284375
transcript.pyannote[2395].end 16446.52409375
transcript.pyannote[2396].speaker SPEAKER_21
transcript.pyannote[2396].start 16446.64221875
transcript.pyannote[2396].end 16488.17159375
transcript.pyannote[2397].speaker SPEAKER_32
transcript.pyannote[2397].start 16450.82721875
transcript.pyannote[2397].end 16451.18159375
transcript.pyannote[2398].speaker SPEAKER_21
transcript.pyannote[2398].start 16488.34034375
transcript.pyannote[2398].end 16496.06909375
transcript.pyannote[2399].speaker SPEAKER_21
transcript.pyannote[2399].start 16496.13659375
transcript.pyannote[2399].end 16496.15346875
transcript.pyannote[2400].speaker SPEAKER_10
transcript.pyannote[2400].start 16496.15346875
transcript.pyannote[2400].end 16511.71221875
transcript.pyannote[2401].speaker SPEAKER_10
transcript.pyannote[2401].start 16516.13346875
transcript.pyannote[2401].end 16518.42846875
transcript.pyannote[2402].speaker SPEAKER_10
transcript.pyannote[2402].start 16519.13721875
transcript.pyannote[2402].end 16519.37346875
transcript.pyannote[2403].speaker SPEAKER_10
transcript.pyannote[2403].start 16521.55034375
transcript.pyannote[2403].end 16521.56721875
transcript.pyannote[2404].speaker SPEAKER_17
transcript.pyannote[2404].start 16521.56721875
transcript.pyannote[2404].end 16554.05159375
transcript.pyannote[2405].speaker SPEAKER_32
transcript.pyannote[2405].start 16528.90784375
transcript.pyannote[2405].end 16528.92471875
transcript.pyannote[2406].speaker SPEAKER_32
transcript.pyannote[2406].start 16528.94159375
transcript.pyannote[2406].end 16529.07659375
transcript.pyannote[2407].speaker SPEAKER_16
transcript.pyannote[2407].start 16540.90596875
transcript.pyannote[2407].end 16542.61034375
transcript.pyannote[2408].speaker SPEAKER_10
transcript.pyannote[2408].start 16551.82409375
transcript.pyannote[2408].end 16558.10159375
transcript.pyannote[2409].speaker SPEAKER_37
transcript.pyannote[2409].start 16557.52784375
transcript.pyannote[2409].end 16563.24846875
transcript.pyannote[2410].speaker SPEAKER_10
transcript.pyannote[2410].start 16561.13909375
transcript.pyannote[2410].end 16564.46346875
transcript.pyannote[2411].speaker SPEAKER_37
transcript.pyannote[2411].start 16563.97409375
transcript.pyannote[2411].end 16564.19346875
transcript.pyannote[2412].speaker SPEAKER_23
transcript.pyannote[2412].start 16564.19346875
transcript.pyannote[2412].end 16564.51409375
transcript.pyannote[2413].speaker SPEAKER_37
transcript.pyannote[2413].start 16564.46346875
transcript.pyannote[2413].end 16564.53096875
transcript.pyannote[2414].speaker SPEAKER_23
transcript.pyannote[2414].start 16564.53096875
transcript.pyannote[2414].end 16565.61096875
transcript.pyannote[2415].speaker SPEAKER_32
transcript.pyannote[2415].start 16564.93596875
transcript.pyannote[2415].end 16565.56034375
transcript.pyannote[2416].speaker SPEAKER_32
transcript.pyannote[2416].start 16565.61096875
transcript.pyannote[2416].end 16566.15096875
transcript.pyannote[2417].speaker SPEAKER_23
transcript.pyannote[2417].start 16566.15096875
transcript.pyannote[2417].end 16566.31971875
transcript.pyannote[2418].speaker SPEAKER_10
transcript.pyannote[2418].start 16566.31971875
transcript.pyannote[2418].end 16570.52159375
transcript.pyannote[2419].speaker SPEAKER_32
transcript.pyannote[2419].start 16566.37034375
transcript.pyannote[2419].end 16566.74159375
transcript.pyannote[2420].speaker SPEAKER_32
transcript.pyannote[2420].start 16570.52159375
transcript.pyannote[2420].end 16571.71971875
transcript.pyannote[2421].speaker SPEAKER_10
transcript.pyannote[2421].start 16571.83784375
transcript.pyannote[2421].end 16575.90471875
transcript.pyannote[2422].speaker SPEAKER_10
transcript.pyannote[2422].start 16576.81596875
transcript.pyannote[2422].end 16578.43596875
transcript.pyannote[2423].speaker SPEAKER_17
transcript.pyannote[2423].start 16578.43596875
transcript.pyannote[2423].end 16578.46971875
transcript.pyannote[2424].speaker SPEAKER_10
transcript.pyannote[2424].start 16579.26284375
transcript.pyannote[2424].end 16580.03909375
transcript.pyannote[2425].speaker SPEAKER_17
transcript.pyannote[2425].start 16580.03909375
transcript.pyannote[2425].end 16600.18784375
transcript.pyannote[2426].speaker SPEAKER_09
transcript.pyannote[2426].start 16593.45471875
transcript.pyannote[2426].end 16593.96096875
transcript.pyannote[2427].speaker SPEAKER_09
transcript.pyannote[2427].start 16598.88846875
transcript.pyannote[2427].end 16600.99784375
transcript.pyannote[2428].speaker SPEAKER_09
transcript.pyannote[2428].start 16601.30159375
transcript.pyannote[2428].end 16603.29284375
transcript.pyannote[2429].speaker SPEAKER_09
transcript.pyannote[2429].start 16603.61346875
transcript.pyannote[2429].end 16604.89596875
transcript.pyannote[2430].speaker SPEAKER_06
transcript.pyannote[2430].start 16603.78221875
transcript.pyannote[2430].end 16604.30534375
transcript.pyannote[2431].speaker SPEAKER_06
transcript.pyannote[2431].start 16604.89596875
transcript.pyannote[2431].end 16615.17284375
transcript.pyannote[2432].speaker SPEAKER_06
transcript.pyannote[2432].start 16615.51034375
transcript.pyannote[2432].end 16622.44596875
transcript.pyannote[2433].speaker SPEAKER_09
transcript.pyannote[2433].start 16618.05846875
transcript.pyannote[2433].end 16618.96971875
transcript.pyannote[2434].speaker SPEAKER_32
transcript.pyannote[2434].start 16618.96971875
transcript.pyannote[2434].end 16619.12159375
transcript.pyannote[2435].speaker SPEAKER_09
transcript.pyannote[2435].start 16619.12159375
transcript.pyannote[2435].end 16619.49284375
transcript.pyannote[2436].speaker SPEAKER_32
transcript.pyannote[2436].start 16622.44596875
transcript.pyannote[2436].end 16622.58096875
transcript.pyannote[2437].speaker SPEAKER_06
transcript.pyannote[2437].start 16622.58096875
transcript.pyannote[2437].end 16622.88471875
transcript.pyannote[2438].speaker SPEAKER_06
transcript.pyannote[2438].start 16622.93534375
transcript.pyannote[2438].end 16628.80784375
transcript.pyannote[2439].speaker SPEAKER_06
transcript.pyannote[2439].start 16629.17909375
transcript.pyannote[2439].end 16631.52471875
transcript.pyannote[2440].speaker SPEAKER_06
transcript.pyannote[2440].start 16632.08159375
transcript.pyannote[2440].end 16634.10659375
transcript.pyannote[2441].speaker SPEAKER_06
transcript.pyannote[2441].start 16634.69721875
transcript.pyannote[2441].end 16637.00909375
transcript.pyannote[2442].speaker SPEAKER_06
transcript.pyannote[2442].start 16637.31284375
transcript.pyannote[2442].end 16638.30846875
transcript.pyannote[2443].speaker SPEAKER_06
transcript.pyannote[2443].start 16638.73034375
transcript.pyannote[2443].end 16640.23221875
transcript.pyannote[2444].speaker SPEAKER_06
transcript.pyannote[2444].start 16640.80596875
transcript.pyannote[2444].end 16642.72971875
transcript.pyannote[2445].speaker SPEAKER_06
transcript.pyannote[2445].start 16643.11784375
transcript.pyannote[2445].end 16645.27784375
transcript.pyannote[2446].speaker SPEAKER_06
transcript.pyannote[2446].start 16646.03721875
transcript.pyannote[2446].end 16649.04096875
transcript.pyannote[2447].speaker SPEAKER_06
transcript.pyannote[2447].start 16649.05784375
transcript.pyannote[2447].end 16652.09534375
transcript.pyannote[2448].speaker SPEAKER_06
transcript.pyannote[2448].start 16652.56784375
transcript.pyannote[2448].end 16655.25096875
transcript.pyannote[2449].speaker SPEAKER_06
transcript.pyannote[2449].start 16655.84159375
transcript.pyannote[2449].end 16659.26721875
transcript.pyannote[2450].speaker SPEAKER_09
transcript.pyannote[2450].start 16659.26721875
transcript.pyannote[2450].end 16662.43971875
transcript.pyannote[2451].speaker SPEAKER_06
transcript.pyannote[2451].start 16659.45284375
transcript.pyannote[2451].end 16661.47784375
transcript.pyannote[2452].speaker SPEAKER_06
transcript.pyannote[2452].start 16662.91221875
transcript.pyannote[2452].end 16667.50221875
transcript.pyannote[2453].speaker SPEAKER_09
transcript.pyannote[2453].start 16663.72221875
transcript.pyannote[2453].end 16664.39721875
transcript.pyannote[2454].speaker SPEAKER_06
transcript.pyannote[2454].start 16669.05471875
transcript.pyannote[2454].end 16669.66221875
transcript.pyannote[2455].speaker SPEAKER_06
transcript.pyannote[2455].start 16669.71284375
transcript.pyannote[2455].end 16672.76721875
transcript.pyannote[2456].speaker SPEAKER_06
transcript.pyannote[2456].start 16674.06659375
transcript.pyannote[2456].end 16675.48409375
transcript.pyannote[2457].speaker SPEAKER_32
transcript.pyannote[2457].start 16674.21846875
transcript.pyannote[2457].end 16674.25221875
transcript.pyannote[2458].speaker SPEAKER_10
transcript.pyannote[2458].start 16674.25221875
transcript.pyannote[2458].end 16675.33221875
transcript.pyannote[2459].speaker SPEAKER_10
transcript.pyannote[2459].start 16675.48409375
transcript.pyannote[2459].end 16675.56846875
transcript.pyannote[2460].speaker SPEAKER_06
transcript.pyannote[2460].start 16675.56846875
transcript.pyannote[2460].end 16675.58534375
transcript.pyannote[2461].speaker SPEAKER_06
transcript.pyannote[2461].start 16676.12534375
transcript.pyannote[2461].end 16677.05346875
transcript.pyannote[2462].speaker SPEAKER_06
transcript.pyannote[2462].start 16677.89721875
transcript.pyannote[2462].end 16679.14596875
transcript.pyannote[2463].speaker SPEAKER_10
transcript.pyannote[2463].start 16679.14596875
transcript.pyannote[2463].end 16679.16284375
transcript.pyannote[2464].speaker SPEAKER_10
transcript.pyannote[2464].start 16679.88846875
transcript.pyannote[2464].end 16682.43659375
transcript.pyannote[2465].speaker SPEAKER_16
transcript.pyannote[2465].start 16682.62221875
transcript.pyannote[2465].end 16728.23534375
transcript.pyannote[2466].speaker SPEAKER_16
transcript.pyannote[2466].start 16728.53909375
transcript.pyannote[2466].end 16759.06596875
transcript.pyannote[2467].speaker SPEAKER_10
transcript.pyannote[2467].start 16760.31471875
transcript.pyannote[2467].end 16761.17534375
transcript.pyannote[2468].speaker SPEAKER_10
transcript.pyannote[2468].start 16761.59721875
transcript.pyannote[2468].end 16771.78971875
transcript.pyannote[2469].speaker SPEAKER_39
transcript.pyannote[2469].start 16771.78971875
transcript.pyannote[2469].end 16771.80659375
transcript.pyannote[2470].speaker SPEAKER_39
transcript.pyannote[2470].start 16772.24534375
transcript.pyannote[2470].end 16776.00846875
transcript.pyannote[2471].speaker SPEAKER_39
transcript.pyannote[2471].start 16776.37971875
transcript.pyannote[2471].end 16783.38284375
transcript.pyannote[2472].speaker SPEAKER_39
transcript.pyannote[2472].start 16783.51784375
transcript.pyannote[2472].end 16787.19659375
transcript.pyannote[2473].speaker SPEAKER_39
transcript.pyannote[2473].start 16787.48346875
transcript.pyannote[2473].end 16787.80409375
transcript.pyannote[2474].speaker SPEAKER_39
transcript.pyannote[2474].start 16788.04034375
transcript.pyannote[2474].end 16788.79971875
transcript.pyannote[2475].speaker SPEAKER_39
transcript.pyannote[2475].start 16788.98534375
transcript.pyannote[2475].end 16798.30034375
transcript.pyannote[2476].speaker SPEAKER_39
transcript.pyannote[2476].start 16798.57034375
transcript.pyannote[2476].end 16798.84034375
transcript.pyannote[2477].speaker SPEAKER_10
transcript.pyannote[2477].start 16799.12721875
transcript.pyannote[2477].end 16800.44346875
transcript.pyannote[2478].speaker SPEAKER_06
transcript.pyannote[2478].start 16800.44346875
transcript.pyannote[2478].end 16800.91596875
transcript.pyannote[2479].speaker SPEAKER_10
transcript.pyannote[2479].start 16800.91596875
transcript.pyannote[2479].end 16800.94971875
transcript.pyannote[2480].speaker SPEAKER_06
transcript.pyannote[2480].start 16800.94971875
transcript.pyannote[2480].end 16802.14784375
transcript.pyannote[2481].speaker SPEAKER_06
transcript.pyannote[2481].start 16802.41784375
transcript.pyannote[2481].end 16807.34534375
transcript.pyannote[2482].speaker SPEAKER_10
transcript.pyannote[2482].start 16806.02909375
transcript.pyannote[2482].end 16806.04596875
transcript.pyannote[2483].speaker SPEAKER_10
transcript.pyannote[2483].start 16806.06284375
transcript.pyannote[2483].end 16809.18471875
transcript.pyannote[2484].speaker SPEAKER_06
transcript.pyannote[2484].start 16808.29034375
transcript.pyannote[2484].end 16811.63159375
transcript.pyannote[2485].speaker SPEAKER_10
transcript.pyannote[2485].start 16810.65284375
transcript.pyannote[2485].end 16813.85909375
transcript.pyannote[2486].speaker SPEAKER_23
transcript.pyannote[2486].start 16812.03659375
transcript.pyannote[2486].end 16812.07034375
transcript.pyannote[2487].speaker SPEAKER_23
transcript.pyannote[2487].start 16813.85909375
transcript.pyannote[2487].end 16833.48471875
transcript.pyannote[2488].speaker SPEAKER_00
transcript.pyannote[2488].start 16830.00846875
transcript.pyannote[2488].end 16830.02534375
transcript.pyannote[2489].speaker SPEAKER_35
transcript.pyannote[2489].start 16830.02534375
transcript.pyannote[2489].end 16830.83534375
transcript.pyannote[2490].speaker SPEAKER_23
transcript.pyannote[2490].start 16834.85159375
transcript.pyannote[2490].end 16834.96971875
transcript.pyannote[2491].speaker SPEAKER_35
transcript.pyannote[2491].start 16834.96971875
transcript.pyannote[2491].end 16838.76659375
transcript.pyannote[2492].speaker SPEAKER_23
transcript.pyannote[2492].start 16836.50534375
transcript.pyannote[2492].end 16836.97784375
transcript.pyannote[2493].speaker SPEAKER_35
transcript.pyannote[2493].start 16839.10409375
transcript.pyannote[2493].end 16842.20909375
transcript.pyannote[2494].speaker SPEAKER_35
transcript.pyannote[2494].start 16842.63096875
transcript.pyannote[2494].end 16845.56721875
transcript.pyannote[2495].speaker SPEAKER_35
transcript.pyannote[2495].start 16845.90471875
transcript.pyannote[2495].end 16854.54471875
transcript.pyannote[2496].speaker SPEAKER_35
transcript.pyannote[2496].start 16855.05096875
transcript.pyannote[2496].end 16866.64409375
transcript.pyannote[2497].speaker SPEAKER_00
transcript.pyannote[2497].start 16855.70909375
transcript.pyannote[2497].end 16856.01284375
transcript.pyannote[2498].speaker SPEAKER_32
transcript.pyannote[2498].start 16856.01284375
transcript.pyannote[2498].end 16856.02971875
transcript.pyannote[2499].speaker SPEAKER_00
transcript.pyannote[2499].start 16856.02971875
transcript.pyannote[2499].end 16856.08034375
transcript.pyannote[2500].speaker SPEAKER_00
transcript.pyannote[2500].start 16863.06659375
transcript.pyannote[2500].end 16863.33659375
transcript.pyannote[2501].speaker SPEAKER_06
transcript.pyannote[2501].start 16863.33659375
transcript.pyannote[2501].end 16863.84284375
transcript.pyannote[2502].speaker SPEAKER_00
transcript.pyannote[2502].start 16863.84284375
transcript.pyannote[2502].end 16864.14659375
transcript.pyannote[2503].speaker SPEAKER_06
transcript.pyannote[2503].start 16864.14659375
transcript.pyannote[2503].end 16864.46721875
transcript.pyannote[2504].speaker SPEAKER_00
transcript.pyannote[2504].start 16864.46721875
transcript.pyannote[2504].end 16864.53471875
transcript.pyannote[2505].speaker SPEAKER_35
transcript.pyannote[2505].start 16867.16721875
transcript.pyannote[2505].end 16868.11221875
transcript.pyannote[2506].speaker SPEAKER_06
transcript.pyannote[2506].start 16869.56346875
transcript.pyannote[2506].end 16869.58034375
transcript.pyannote[2507].speaker SPEAKER_10
transcript.pyannote[2507].start 16869.58034375
transcript.pyannote[2507].end 16872.80346875
transcript.pyannote[2508].speaker SPEAKER_10
transcript.pyannote[2508].start 16873.14096875
transcript.pyannote[2508].end 16875.94221875
transcript.pyannote[2509].speaker SPEAKER_10
transcript.pyannote[2509].start 16876.41471875
transcript.pyannote[2509].end 16882.30409375
transcript.pyannote[2510].speaker SPEAKER_10
transcript.pyannote[2510].start 16886.77596875
transcript.pyannote[2510].end 16887.33284375
transcript.pyannote[2511].speaker SPEAKER_37
transcript.pyannote[2511].start 16887.33284375
transcript.pyannote[2511].end 16887.38346875
transcript.pyannote[2512].speaker SPEAKER_10
transcript.pyannote[2512].start 16887.38346875
transcript.pyannote[2512].end 16887.46784375
transcript.pyannote[2513].speaker SPEAKER_37
transcript.pyannote[2513].start 16887.46784375
transcript.pyannote[2513].end 16887.67034375
transcript.pyannote[2514].speaker SPEAKER_10
transcript.pyannote[2514].start 16887.67034375
transcript.pyannote[2514].end 16887.97409375
transcript.pyannote[2515].speaker SPEAKER_37
transcript.pyannote[2515].start 16887.87284375
transcript.pyannote[2515].end 16887.92346875
transcript.pyannote[2516].speaker SPEAKER_37
transcript.pyannote[2516].start 16887.97409375
transcript.pyannote[2516].end 16889.89784375
transcript.pyannote[2517].speaker SPEAKER_37
transcript.pyannote[2517].start 16890.08346875
transcript.pyannote[2517].end 16894.72409375
transcript.pyannote[2518].speaker SPEAKER_37
transcript.pyannote[2518].start 16894.87596875
transcript.pyannote[2518].end 16901.84534375
transcript.pyannote[2519].speaker SPEAKER_35
transcript.pyannote[2519].start 16905.35534375
transcript.pyannote[2519].end 16914.55221875
transcript.pyannote[2520].speaker SPEAKER_00
transcript.pyannote[2520].start 16910.45159375
transcript.pyannote[2520].end 16912.56096875
transcript.pyannote[2521].speaker SPEAKER_00
transcript.pyannote[2521].start 16912.84784375
transcript.pyannote[2521].end 16913.43846875
transcript.pyannote[2522].speaker SPEAKER_35
transcript.pyannote[2522].start 16914.90659375
transcript.pyannote[2522].end 16921.62284375
transcript.pyannote[2523].speaker SPEAKER_35
transcript.pyannote[2523].start 16922.98971875
transcript.pyannote[2523].end 16923.17534375
transcript.pyannote[2524].speaker SPEAKER_37
transcript.pyannote[2524].start 16923.59721875
transcript.pyannote[2524].end 16931.22471875
transcript.pyannote[2525].speaker SPEAKER_35
transcript.pyannote[2525].start 16928.52471875
transcript.pyannote[2525].end 16933.77284375
transcript.pyannote[2526].speaker SPEAKER_10
transcript.pyannote[2526].start 16939.03784375
transcript.pyannote[2526].end 16941.21471875
transcript.pyannote[2527].speaker SPEAKER_10
transcript.pyannote[2527].start 16942.88534375
transcript.pyannote[2527].end 16946.37846875
transcript.pyannote[2528].speaker SPEAKER_10
transcript.pyannote[2528].start 16946.96909375
transcript.pyannote[2528].end 16950.09096875
transcript.pyannote[2529].speaker SPEAKER_32
transcript.pyannote[2529].start 16948.18409375
transcript.pyannote[2529].end 16949.02784375
transcript.pyannote[2530].speaker SPEAKER_08
transcript.pyannote[2530].start 16949.02784375
transcript.pyannote[2530].end 16949.73659375
transcript.pyannote[2531].speaker SPEAKER_32
transcript.pyannote[2531].start 16949.73659375
transcript.pyannote[2531].end 16949.77034375
transcript.pyannote[2532].speaker SPEAKER_08
transcript.pyannote[2532].start 16949.85471875
transcript.pyannote[2532].end 16949.92221875
transcript.pyannote[2533].speaker SPEAKER_32
transcript.pyannote[2533].start 16949.93909375
transcript.pyannote[2533].end 16950.00659375
transcript.pyannote[2534].speaker SPEAKER_32
transcript.pyannote[2534].start 16950.20909375
transcript.pyannote[2534].end 16951.96409375
transcript.pyannote[2535].speaker SPEAKER_08
transcript.pyannote[2535].start 16951.96409375
transcript.pyannote[2535].end 16952.03159375
transcript.pyannote[2536].speaker SPEAKER_32
transcript.pyannote[2536].start 16952.03159375
transcript.pyannote[2536].end 16952.97659375
transcript.pyannote[2537].speaker SPEAKER_08
transcript.pyannote[2537].start 16952.97659375
transcript.pyannote[2537].end 16953.02721875
transcript.pyannote[2538].speaker SPEAKER_32
transcript.pyannote[2538].start 16953.02721875
transcript.pyannote[2538].end 16953.85409375
transcript.pyannote[2539].speaker SPEAKER_08
transcript.pyannote[2539].start 16953.85409375
transcript.pyannote[2539].end 16954.54596875
transcript.pyannote[2540].speaker SPEAKER_08
transcript.pyannote[2540].start 16954.61346875
transcript.pyannote[2540].end 16954.63034375
transcript.pyannote[2541].speaker SPEAKER_10
transcript.pyannote[2541].start 16954.63034375
transcript.pyannote[2541].end 16966.51034375
transcript.pyannote[2542].speaker SPEAKER_08
transcript.pyannote[2542].start 16954.64721875
transcript.pyannote[2542].end 16955.55846875
transcript.pyannote[2543].speaker SPEAKER_08
transcript.pyannote[2543].start 16957.24596875
transcript.pyannote[2543].end 16958.02221875
transcript.pyannote[2544].speaker SPEAKER_17
transcript.pyannote[2544].start 16966.51034375
transcript.pyannote[2544].end 16974.03659375
transcript.pyannote[2545].speaker SPEAKER_10
transcript.pyannote[2545].start 16970.34096875
transcript.pyannote[2545].end 16975.11659375
transcript.pyannote[2546].speaker SPEAKER_21
transcript.pyannote[2546].start 16974.03659375
transcript.pyannote[2546].end 16986.94596875
transcript.pyannote[2547].speaker SPEAKER_09
transcript.pyannote[2547].start 16980.90471875
transcript.pyannote[2547].end 16981.86659375
transcript.pyannote[2548].speaker SPEAKER_10
transcript.pyannote[2548].start 16981.86659375
transcript.pyannote[2548].end 16981.88346875
transcript.pyannote[2549].speaker SPEAKER_09
transcript.pyannote[2549].start 16983.19971875
transcript.pyannote[2549].end 16985.30909375
transcript.pyannote[2550].speaker SPEAKER_10
transcript.pyannote[2550].start 16985.30909375
transcript.pyannote[2550].end 16985.35971875
transcript.pyannote[2551].speaker SPEAKER_09
transcript.pyannote[2551].start 16987.24971875
transcript.pyannote[2551].end 16988.32971875
transcript.pyannote[2552].speaker SPEAKER_31
transcript.pyannote[2552].start 16988.32971875
transcript.pyannote[2552].end 16988.51534375
transcript.pyannote[2553].speaker SPEAKER_09
transcript.pyannote[2553].start 16988.61659375
transcript.pyannote[2553].end 16990.48971875
transcript.pyannote[2554].speaker SPEAKER_10
transcript.pyannote[2554].start 16990.15221875
transcript.pyannote[2554].end 16990.20284375
transcript.pyannote[2555].speaker SPEAKER_10
transcript.pyannote[2555].start 16990.48971875
transcript.pyannote[2555].end 16991.97471875
transcript.pyannote[2556].speaker SPEAKER_09
transcript.pyannote[2556].start 16991.97471875
transcript.pyannote[2556].end 16994.82659375
transcript.pyannote[2557].speaker SPEAKER_09
transcript.pyannote[2557].start 16995.19784375
transcript.pyannote[2557].end 16995.53534375
transcript.pyannote[2558].speaker SPEAKER_10
transcript.pyannote[2558].start 16997.50971875
transcript.pyannote[2558].end 17001.05346875
transcript.pyannote[2559].speaker SPEAKER_10
transcript.pyannote[2559].start 17002.38659375
transcript.pyannote[2559].end 17005.74471875
transcript.pyannote[2560].speaker SPEAKER_37
transcript.pyannote[2560].start 17021.82659375
transcript.pyannote[2560].end 17022.97409375
transcript.pyannote[2561].speaker SPEAKER_10
transcript.pyannote[2561].start 17023.29471875
transcript.pyannote[2561].end 17025.08346875
transcript.pyannote[2562].speaker SPEAKER_10
transcript.pyannote[2562].start 17026.23096875
transcript.pyannote[2562].end 17032.81221875
transcript.pyannote[2563].speaker SPEAKER_10
transcript.pyannote[2563].start 17034.02721875
transcript.pyannote[2563].end 17037.90846875
transcript.pyannote[2564].speaker SPEAKER_10
transcript.pyannote[2564].start 17039.32596875
transcript.pyannote[2564].end 17042.49846875
transcript.pyannote[2565].speaker SPEAKER_10
transcript.pyannote[2565].start 17044.21971875
transcript.pyannote[2565].end 17046.29534375
transcript.pyannote[2566].speaker SPEAKER_31
transcript.pyannote[2566].start 17057.48346875
transcript.pyannote[2566].end 17057.60159375
transcript.pyannote[2567].speaker SPEAKER_31
transcript.pyannote[2567].start 17057.66909375
transcript.pyannote[2567].end 17057.68596875
transcript.pyannote[2568].speaker SPEAKER_31
transcript.pyannote[2568].start 17057.73659375
transcript.pyannote[2568].end 17058.05721875
transcript.pyannote[2569].speaker SPEAKER_31
transcript.pyannote[2569].start 17059.10346875
transcript.pyannote[2569].end 17059.54221875
transcript.pyannote[2570].speaker SPEAKER_10
transcript.pyannote[2570].start 17060.77409375
transcript.pyannote[2570].end 17063.98034375
transcript.pyannote[2571].speaker SPEAKER_10
transcript.pyannote[2571].start 17066.32596875
transcript.pyannote[2571].end 17068.85721875
transcript.pyannote[2572].speaker SPEAKER_10
transcript.pyannote[2572].start 17069.32971875
transcript.pyannote[2572].end 17071.94534375
transcript.pyannote[2573].speaker SPEAKER_09
transcript.pyannote[2573].start 17074.08846875
transcript.pyannote[2573].end 17074.71284375
transcript.pyannote[2574].speaker SPEAKER_31
transcript.pyannote[2574].start 17074.71284375
transcript.pyannote[2574].end 17079.75846875
transcript.pyannote[2575].speaker SPEAKER_10
transcript.pyannote[2575].start 17079.65721875
transcript.pyannote[2575].end 17079.79221875
transcript.pyannote[2576].speaker SPEAKER_31
transcript.pyannote[2576].start 17079.79221875
transcript.pyannote[2576].end 17083.60596875
transcript.pyannote[2577].speaker SPEAKER_10
transcript.pyannote[2577].start 17082.42471875
transcript.pyannote[2577].end 17091.13221875
transcript.pyannote[2578].speaker SPEAKER_31
transcript.pyannote[2578].start 17095.31721875
transcript.pyannote[2578].end 17098.21971875
transcript.pyannote[2579].speaker SPEAKER_31
transcript.pyannote[2579].start 17098.30409375
transcript.pyannote[2579].end 17098.33784375
transcript.pyannote[2580].speaker SPEAKER_10
transcript.pyannote[2580].start 17098.33784375
transcript.pyannote[2580].end 17103.56909375
transcript.pyannote[2581].speaker SPEAKER_31
transcript.pyannote[2581].start 17099.23221875
transcript.pyannote[2581].end 17099.40096875
transcript.pyannote[2582].speaker SPEAKER_31
transcript.pyannote[2582].start 17100.36284375
transcript.pyannote[2582].end 17100.56534375
transcript.pyannote[2583].speaker SPEAKER_32
transcript.pyannote[2583].start 17100.56534375
transcript.pyannote[2583].end 17100.80159375
transcript.pyannote[2584].speaker SPEAKER_31
transcript.pyannote[2584].start 17100.80159375
transcript.pyannote[2584].end 17100.81846875
transcript.pyannote[2585].speaker SPEAKER_31
transcript.pyannote[2585].start 17103.56909375
transcript.pyannote[2585].end 17103.94034375
transcript.pyannote[2586].speaker SPEAKER_31
transcript.pyannote[2586].start 17103.95721875
transcript.pyannote[2586].end 17104.00784375
transcript.pyannote[2587].speaker SPEAKER_10
transcript.pyannote[2587].start 17104.00784375
transcript.pyannote[2587].end 17104.02471875
transcript.pyannote[2588].speaker SPEAKER_31
transcript.pyannote[2588].start 17104.09221875
transcript.pyannote[2588].end 17104.22721875
transcript.pyannote[2589].speaker SPEAKER_10
transcript.pyannote[2589].start 17104.22721875
transcript.pyannote[2589].end 17104.64909375
transcript.pyannote[2590].speaker SPEAKER_31
transcript.pyannote[2590].start 17104.26096875
transcript.pyannote[2590].end 17104.56471875
transcript.pyannote[2591].speaker SPEAKER_31
transcript.pyannote[2591].start 17104.64909375
transcript.pyannote[2591].end 17104.83471875
transcript.pyannote[2592].speaker SPEAKER_31
transcript.pyannote[2592].start 17104.95284375
transcript.pyannote[2592].end 17105.62784375
transcript.pyannote[2593].speaker SPEAKER_10
transcript.pyannote[2593].start 17105.29034375
transcript.pyannote[2593].end 17112.41159375
transcript.pyannote[2594].speaker SPEAKER_31
transcript.pyannote[2594].start 17106.74159375
transcript.pyannote[2594].end 17107.24784375
transcript.pyannote[2595].speaker SPEAKER_31
transcript.pyannote[2595].start 17110.47096875
transcript.pyannote[2595].end 17110.79159375
transcript.pyannote[2596].speaker SPEAKER_31
transcript.pyannote[2596].start 17111.51721875
transcript.pyannote[2596].end 17112.31034375
transcript.pyannote[2597].speaker SPEAKER_31
transcript.pyannote[2597].start 17112.41159375
transcript.pyannote[2597].end 17115.55034375
transcript.pyannote[2598].speaker SPEAKER_10
transcript.pyannote[2598].start 17116.15784375
transcript.pyannote[2598].end 17122.11471875
transcript.pyannote[2599].speaker SPEAKER_31
transcript.pyannote[2599].start 17118.99284375
transcript.pyannote[2599].end 17120.61284375
transcript.pyannote[2600].speaker SPEAKER_31
transcript.pyannote[2600].start 17128.83096875
transcript.pyannote[2600].end 17133.94409375
transcript.pyannote[2601].speaker SPEAKER_23
transcript.pyannote[2601].start 17129.97846875
transcript.pyannote[2601].end 17131.31159375
transcript.pyannote[2602].speaker SPEAKER_10
transcript.pyannote[2602].start 17133.40409375
transcript.pyannote[2602].end 17142.04409375
transcript.pyannote[2603].speaker SPEAKER_32
transcript.pyannote[2603].start 17133.94409375
transcript.pyannote[2603].end 17133.97784375
transcript.pyannote[2604].speaker SPEAKER_31
transcript.pyannote[2604].start 17133.97784375
transcript.pyannote[2604].end 17134.97346875
transcript.pyannote[2605].speaker SPEAKER_32
transcript.pyannote[2605].start 17134.97346875
transcript.pyannote[2605].end 17137.62284375
transcript.pyannote[2606].speaker SPEAKER_10
transcript.pyannote[2606].start 17142.06096875
transcript.pyannote[2606].end 17144.59221875
transcript.pyannote[2607].speaker SPEAKER_10
transcript.pyannote[2607].start 17144.84534375
transcript.pyannote[2607].end 17145.87471875
transcript.pyannote[2608].speaker SPEAKER_21
transcript.pyannote[2608].start 17145.01409375
transcript.pyannote[2608].end 17145.82409375
transcript.pyannote[2609].speaker SPEAKER_21
transcript.pyannote[2609].start 17145.87471875
transcript.pyannote[2609].end 17201.44409375
transcript.pyannote[2610].speaker SPEAKER_08
transcript.pyannote[2610].start 17171.92971875
transcript.pyannote[2610].end 17171.98034375
transcript.pyannote[2611].speaker SPEAKER_32
transcript.pyannote[2611].start 17171.98034375
transcript.pyannote[2611].end 17173.76909375
transcript.pyannote[2612].speaker SPEAKER_15
transcript.pyannote[2612].start 17173.76909375
transcript.pyannote[2612].end 17173.78596875
transcript.pyannote[2613].speaker SPEAKER_32
transcript.pyannote[2613].start 17174.32596875
transcript.pyannote[2613].end 17174.78159375
transcript.pyannote[2614].speaker SPEAKER_23
transcript.pyannote[2614].start 17194.66034375
transcript.pyannote[2614].end 17194.79534375
transcript.pyannote[2615].speaker SPEAKER_32
transcript.pyannote[2615].start 17194.79534375
transcript.pyannote[2615].end 17194.82909375
transcript.pyannote[2616].speaker SPEAKER_23
transcript.pyannote[2616].start 17194.82909375
transcript.pyannote[2616].end 17194.91346875
transcript.pyannote[2617].speaker SPEAKER_10
transcript.pyannote[2617].start 17199.60471875
transcript.pyannote[2617].end 17199.97596875
transcript.pyannote[2618].speaker SPEAKER_23
transcript.pyannote[2618].start 17199.97596875
transcript.pyannote[2618].end 17200.02659375
transcript.pyannote[2619].speaker SPEAKER_10
transcript.pyannote[2619].start 17201.03909375
transcript.pyannote[2619].end 17202.27096875
transcript.pyannote[2620].speaker SPEAKER_23
transcript.pyannote[2620].start 17201.44409375
transcript.pyannote[2620].end 17201.51159375
transcript.pyannote[2621].speaker SPEAKER_23
transcript.pyannote[2621].start 17202.27096875
transcript.pyannote[2621].end 17202.28784375
transcript.pyannote[2622].speaker SPEAKER_10
transcript.pyannote[2622].start 17202.28784375
transcript.pyannote[2622].end 17215.23096875
transcript.pyannote[2623].speaker SPEAKER_23
transcript.pyannote[2623].start 17202.43971875
transcript.pyannote[2623].end 17203.13159375
transcript.pyannote[2624].speaker SPEAKER_31
transcript.pyannote[2624].start 17216.09159375
transcript.pyannote[2624].end 17219.17971875
transcript.pyannote[2625].speaker SPEAKER_31
transcript.pyannote[2625].start 17219.21346875
transcript.pyannote[2625].end 17219.26409375
transcript.pyannote[2626].speaker SPEAKER_10
transcript.pyannote[2626].start 17219.26409375
transcript.pyannote[2626].end 17225.18721875
transcript.pyannote[2627].speaker SPEAKER_31
transcript.pyannote[2627].start 17220.24284375
transcript.pyannote[2627].end 17220.66471875
transcript.pyannote[2628].speaker SPEAKER_31
transcript.pyannote[2628].start 17220.96846875
transcript.pyannote[2628].end 17221.12034375
transcript.pyannote[2629].speaker SPEAKER_10
transcript.pyannote[2629].start 17226.75659375
transcript.pyannote[2629].end 17227.02659375
transcript.pyannote[2630].speaker SPEAKER_20
transcript.pyannote[2630].start 17227.02659375
transcript.pyannote[2630].end 17228.66346875
transcript.pyannote[2631].speaker SPEAKER_20
transcript.pyannote[2631].start 17228.79846875
transcript.pyannote[2631].end 17229.92909375
transcript.pyannote[2632].speaker SPEAKER_20
transcript.pyannote[2632].start 17230.62096875
transcript.pyannote[2632].end 17251.14096875
transcript.pyannote[2633].speaker SPEAKER_20
transcript.pyannote[2633].start 17251.96784375
transcript.pyannote[2633].end 17259.93284375
transcript.pyannote[2634].speaker SPEAKER_23
transcript.pyannote[2634].start 17260.52346875
transcript.pyannote[2634].end 17265.09659375
transcript.pyannote[2635].speaker SPEAKER_23
transcript.pyannote[2635].start 17265.31596875
transcript.pyannote[2635].end 17267.67846875
transcript.pyannote[2636].speaker SPEAKER_20
transcript.pyannote[2636].start 17266.73346875
transcript.pyannote[2636].end 17283.32159375
transcript.pyannote[2637].speaker SPEAKER_23
transcript.pyannote[2637].start 17272.16721875
transcript.pyannote[2637].end 17272.28534375
transcript.pyannote[2638].speaker SPEAKER_23
transcript.pyannote[2638].start 17272.42034375
transcript.pyannote[2638].end 17272.60596875
transcript.pyannote[2639].speaker SPEAKER_20
transcript.pyannote[2639].start 17283.64221875
transcript.pyannote[2639].end 17288.70471875
transcript.pyannote[2640].speaker SPEAKER_23
transcript.pyannote[2640].start 17288.80596875
transcript.pyannote[2640].end 17288.90721875
transcript.pyannote[2641].speaker SPEAKER_02
transcript.pyannote[2641].start 17288.90721875
transcript.pyannote[2641].end 17289.16034375
transcript.pyannote[2642].speaker SPEAKER_23
transcript.pyannote[2642].start 17289.16034375
transcript.pyannote[2642].end 17289.17721875
transcript.pyannote[2643].speaker SPEAKER_02
transcript.pyannote[2643].start 17289.17721875
transcript.pyannote[2643].end 17289.81846875
transcript.pyannote[2644].speaker SPEAKER_20
transcript.pyannote[2644].start 17289.41346875
transcript.pyannote[2644].end 17291.35409375
transcript.pyannote[2645].speaker SPEAKER_02
transcript.pyannote[2645].start 17291.43846875
transcript.pyannote[2645].end 17292.92346875
transcript.pyannote[2646].speaker SPEAKER_02
transcript.pyannote[2646].start 17293.21034375
transcript.pyannote[2646].end 17300.90534375
transcript.pyannote[2647].speaker SPEAKER_02
transcript.pyannote[2647].start 17301.36096875
transcript.pyannote[2647].end 17302.71096875
transcript.pyannote[2648].speaker SPEAKER_02
transcript.pyannote[2648].start 17302.89659375
transcript.pyannote[2648].end 17304.70221875
transcript.pyannote[2649].speaker SPEAKER_02
transcript.pyannote[2649].start 17304.83721875
transcript.pyannote[2649].end 17310.62534375
transcript.pyannote[2650].speaker SPEAKER_02
transcript.pyannote[2650].start 17311.30034375
transcript.pyannote[2650].end 17311.31721875
transcript.pyannote[2651].speaker SPEAKER_06
transcript.pyannote[2651].start 17311.31721875
transcript.pyannote[2651].end 17316.22784375
transcript.pyannote[2652].speaker SPEAKER_02
transcript.pyannote[2652].start 17311.35096875
transcript.pyannote[2652].end 17313.46034375
transcript.pyannote[2653].speaker SPEAKER_06
transcript.pyannote[2653].start 17316.61596875
transcript.pyannote[2653].end 17320.93596875
transcript.pyannote[2654].speaker SPEAKER_06
transcript.pyannote[2654].start 17321.39159375
transcript.pyannote[2654].end 17322.60659375
transcript.pyannote[2655].speaker SPEAKER_23
transcript.pyannote[2655].start 17322.60659375
transcript.pyannote[2655].end 17331.68534375
transcript.pyannote[2656].speaker SPEAKER_20
transcript.pyannote[2656].start 17330.60534375
transcript.pyannote[2656].end 17341.75971875
transcript.pyannote[2657].speaker SPEAKER_23
transcript.pyannote[2657].start 17332.22534375
transcript.pyannote[2657].end 17333.60909375
transcript.pyannote[2658].speaker SPEAKER_23
transcript.pyannote[2658].start 17334.28409375
transcript.pyannote[2658].end 17335.11096875
transcript.pyannote[2659].speaker SPEAKER_20
transcript.pyannote[2659].start 17342.68784375
transcript.pyannote[2659].end 17343.21096875
transcript.pyannote[2660].speaker SPEAKER_20
transcript.pyannote[2660].start 17345.87721875
transcript.pyannote[2660].end 17345.89409375
transcript.pyannote[2661].speaker SPEAKER_17
transcript.pyannote[2661].start 17345.89409375
transcript.pyannote[2661].end 17351.49659375
transcript.pyannote[2662].speaker SPEAKER_17
transcript.pyannote[2662].start 17351.61471875
transcript.pyannote[2662].end 17357.94284375
transcript.pyannote[2663].speaker SPEAKER_17
transcript.pyannote[2663].start 17359.34346875
transcript.pyannote[2663].end 17360.45721875
transcript.pyannote[2664].speaker SPEAKER_35
transcript.pyannote[2664].start 17361.87471875
transcript.pyannote[2664].end 17364.94596875
transcript.pyannote[2665].speaker SPEAKER_17
transcript.pyannote[2665].start 17362.12784375
transcript.pyannote[2665].end 17363.41034375
transcript.pyannote[2666].speaker SPEAKER_17
transcript.pyannote[2666].start 17364.28784375
transcript.pyannote[2666].end 17368.25346875
transcript.pyannote[2667].speaker SPEAKER_35
transcript.pyannote[2667].start 17365.03034375
transcript.pyannote[2667].end 17365.11471875
transcript.pyannote[2668].speaker SPEAKER_35
transcript.pyannote[2668].start 17365.19909375
transcript.pyannote[2668].end 17368.96221875
transcript.pyannote[2669].speaker SPEAKER_17
transcript.pyannote[2669].start 17368.82721875
transcript.pyannote[2669].end 17374.24409375
transcript.pyannote[2670].speaker SPEAKER_35
transcript.pyannote[2670].start 17371.32471875
transcript.pyannote[2670].end 17371.67909375
transcript.pyannote[2671].speaker SPEAKER_35
transcript.pyannote[2671].start 17374.24409375
transcript.pyannote[2671].end 17374.27784375
transcript.pyannote[2672].speaker SPEAKER_17
transcript.pyannote[2672].start 17374.27784375
transcript.pyannote[2672].end 17375.71221875
transcript.pyannote[2673].speaker SPEAKER_23
transcript.pyannote[2673].start 17374.59846875
transcript.pyannote[2673].end 17374.61534375
transcript.pyannote[2674].speaker SPEAKER_35
transcript.pyannote[2674].start 17374.61534375
transcript.pyannote[2674].end 17377.97346875
transcript.pyannote[2675].speaker SPEAKER_23
transcript.pyannote[2675].start 17375.71221875
transcript.pyannote[2675].end 17376.06659375
transcript.pyannote[2676].speaker SPEAKER_23
transcript.pyannote[2676].start 17376.08346875
transcript.pyannote[2676].end 17376.11721875
transcript.pyannote[2677].speaker SPEAKER_23
transcript.pyannote[2677].start 17376.31971875
transcript.pyannote[2677].end 17377.87221875
transcript.pyannote[2678].speaker SPEAKER_23
transcript.pyannote[2678].start 17377.97346875
transcript.pyannote[2678].end 17378.73284375
transcript.pyannote[2679].speaker SPEAKER_23
transcript.pyannote[2679].start 17378.96909375
transcript.pyannote[2679].end 17379.03659375
transcript.pyannote[2680].speaker SPEAKER_23
transcript.pyannote[2680].start 17379.44159375
transcript.pyannote[2680].end 17382.09096875
transcript.pyannote[2681].speaker SPEAKER_17
transcript.pyannote[2681].start 17379.79596875
transcript.pyannote[2681].end 17379.81284375
transcript.pyannote[2682].speaker SPEAKER_37
transcript.pyannote[2682].start 17379.81284375
transcript.pyannote[2682].end 17380.20096875
transcript.pyannote[2683].speaker SPEAKER_37
transcript.pyannote[2683].start 17382.36096875
transcript.pyannote[2683].end 17390.42721875
transcript.pyannote[2684].speaker SPEAKER_37
transcript.pyannote[2684].start 17390.52846875
transcript.pyannote[2684].end 17412.21284375
transcript.pyannote[2685].speaker SPEAKER_37
transcript.pyannote[2685].start 17413.02284375
transcript.pyannote[2685].end 17414.20409375
transcript.pyannote[2686].speaker SPEAKER_20
transcript.pyannote[2686].start 17413.56284375
transcript.pyannote[2686].end 17417.41034375
transcript.pyannote[2687].speaker SPEAKER_37
transcript.pyannote[2687].start 17416.88721875
transcript.pyannote[2687].end 17416.90409375
transcript.pyannote[2688].speaker SPEAKER_10
transcript.pyannote[2688].start 17416.90409375
transcript.pyannote[2688].end 17422.52346875
transcript.pyannote[2689].speaker SPEAKER_37
transcript.pyannote[2689].start 17417.91659375
transcript.pyannote[2689].end 17418.03471875
transcript.pyannote[2690].speaker SPEAKER_32
transcript.pyannote[2690].start 17418.03471875
transcript.pyannote[2690].end 17418.05159375
transcript.pyannote[2691].speaker SPEAKER_37
transcript.pyannote[2691].start 17418.05159375
transcript.pyannote[2691].end 17418.18659375
transcript.pyannote[2692].speaker SPEAKER_10
transcript.pyannote[2692].start 17423.35034375
transcript.pyannote[2692].end 17423.75534375
transcript.pyannote[2693].speaker SPEAKER_10
transcript.pyannote[2693].start 17424.90284375
transcript.pyannote[2693].end 17428.80096875
transcript.pyannote[2694].speaker SPEAKER_37
transcript.pyannote[2694].start 17427.34971875
transcript.pyannote[2694].end 17437.67721875
transcript.pyannote[2695].speaker SPEAKER_10
transcript.pyannote[2695].start 17437.67721875
transcript.pyannote[2695].end 17441.37284375
transcript.pyannote[2696].speaker SPEAKER_10
transcript.pyannote[2696].start 17441.49096875
transcript.pyannote[2696].end 17444.29221875
transcript.pyannote[2697].speaker SPEAKER_09
transcript.pyannote[2697].start 17446.73909375
transcript.pyannote[2697].end 17446.95846875
transcript.pyannote[2698].speaker SPEAKER_10
transcript.pyannote[2698].start 17446.95846875
transcript.pyannote[2698].end 17446.97534375
transcript.pyannote[2699].speaker SPEAKER_09
transcript.pyannote[2699].start 17446.97534375
transcript.pyannote[2699].end 17447.02596875
transcript.pyannote[2700].speaker SPEAKER_14
transcript.pyannote[2700].start 17447.02596875
transcript.pyannote[2700].end 17450.43471875
transcript.pyannote[2701].speaker SPEAKER_10
transcript.pyannote[2701].start 17450.11409375
transcript.pyannote[2701].end 17454.26534375
transcript.pyannote[2702].speaker SPEAKER_08
transcript.pyannote[2702].start 17457.79221875
transcript.pyannote[2702].end 17457.87659375
transcript.pyannote[2703].speaker SPEAKER_31
transcript.pyannote[2703].start 17458.34909375
transcript.pyannote[2703].end 17460.82971875
transcript.pyannote[2704].speaker SPEAKER_08
transcript.pyannote[2704].start 17459.64846875
transcript.pyannote[2704].end 17459.93534375
transcript.pyannote[2705].speaker SPEAKER_08
transcript.pyannote[2705].start 17459.96909375
transcript.pyannote[2705].end 17460.44159375
transcript.pyannote[2706].speaker SPEAKER_08
transcript.pyannote[2706].start 17460.61034375
transcript.pyannote[2706].end 17460.69471875
transcript.pyannote[2707].speaker SPEAKER_08
transcript.pyannote[2707].start 17460.82971875
transcript.pyannote[2707].end 17461.03221875
transcript.pyannote[2708].speaker SPEAKER_31
transcript.pyannote[2708].start 17462.06159375
transcript.pyannote[2708].end 17468.65971875
transcript.pyannote[2709].speaker SPEAKER_31
transcript.pyannote[2709].start 17470.36409375
transcript.pyannote[2709].end 17476.50659375
transcript.pyannote[2710].speaker SPEAKER_32
transcript.pyannote[2710].start 17476.57409375
transcript.pyannote[2710].end 17477.40096875
transcript.pyannote[2711].speaker SPEAKER_31
transcript.pyannote[2711].start 17477.01284375
transcript.pyannote[2711].end 17483.02034375
transcript.pyannote[2712].speaker SPEAKER_32
transcript.pyannote[2712].start 17483.02034375
transcript.pyannote[2712].end 17484.16784375
transcript.pyannote[2713].speaker SPEAKER_31
transcript.pyannote[2713].start 17484.16784375
transcript.pyannote[2713].end 17491.67721875
transcript.pyannote[2714].speaker SPEAKER_32
transcript.pyannote[2714].start 17491.67721875
transcript.pyannote[2714].end 17492.14971875
transcript.pyannote[2715].speaker SPEAKER_31
transcript.pyannote[2715].start 17492.90909375
transcript.pyannote[2715].end 17495.71034375
transcript.pyannote[2716].speaker SPEAKER_08
transcript.pyannote[2716].start 17495.71034375
transcript.pyannote[2716].end 17495.74409375
transcript.pyannote[2717].speaker SPEAKER_32
transcript.pyannote[2717].start 17495.76096875
transcript.pyannote[2717].end 17496.48659375
transcript.pyannote[2718].speaker SPEAKER_32
transcript.pyannote[2718].start 17496.73971875
transcript.pyannote[2718].end 17496.80721875
transcript.pyannote[2719].speaker SPEAKER_08
transcript.pyannote[2719].start 17496.80721875
transcript.pyannote[2719].end 17496.95909375
transcript.pyannote[2720].speaker SPEAKER_32
transcript.pyannote[2720].start 17496.95909375
transcript.pyannote[2720].end 17496.97596875
transcript.pyannote[2721].speaker SPEAKER_08
transcript.pyannote[2721].start 17496.97596875
transcript.pyannote[2721].end 17497.02659375
transcript.pyannote[2722].speaker SPEAKER_32
transcript.pyannote[2722].start 17497.02659375
transcript.pyannote[2722].end 17497.38096875
transcript.pyannote[2723].speaker SPEAKER_10
transcript.pyannote[2723].start 17500.85721875
transcript.pyannote[2723].end 17507.40471875
transcript.pyannote[2724].speaker SPEAKER_10
transcript.pyannote[2724].start 17508.14721875
transcript.pyannote[2724].end 17512.80471875
transcript.pyannote[2725].speaker SPEAKER_10
transcript.pyannote[2725].start 17513.20971875
transcript.pyannote[2725].end 17521.51221875
transcript.pyannote[2726].speaker SPEAKER_10
transcript.pyannote[2726].start 17522.62596875
transcript.pyannote[2726].end 17541.96471875
transcript.pyannote[2727].speaker SPEAKER_10
transcript.pyannote[2727].start 17542.63971875
transcript.pyannote[2727].end 17552.44409375
transcript.pyannote[2728].speaker SPEAKER_32
transcript.pyannote[2728].start 17543.43284375
transcript.pyannote[2728].end 17543.97284375
transcript.pyannote[2729].speaker SPEAKER_10
transcript.pyannote[2729].start 17553.49034375
transcript.pyannote[2729].end 17560.34159375
transcript.pyannote[2730].speaker SPEAKER_10
transcript.pyannote[2730].start 17560.44284375
transcript.pyannote[2730].end 17566.97346875
transcript.pyannote[2731].speaker SPEAKER_09
transcript.pyannote[2731].start 17566.97346875
transcript.pyannote[2731].end 17571.68159375
transcript.pyannote[2732].speaker SPEAKER_10
transcript.pyannote[2732].start 17567.02409375
transcript.pyannote[2732].end 17567.17596875
transcript.pyannote[2733].speaker SPEAKER_06
transcript.pyannote[2733].start 17571.68159375
transcript.pyannote[2733].end 17572.40721875
transcript.pyannote[2734].speaker SPEAKER_09
transcript.pyannote[2734].start 17572.40721875
transcript.pyannote[2734].end 17572.50846875
transcript.pyannote[2735].speaker SPEAKER_06
transcript.pyannote[2735].start 17572.50846875
transcript.pyannote[2735].end 17572.54221875
transcript.pyannote[2736].speaker SPEAKER_09
transcript.pyannote[2736].start 17572.54221875
transcript.pyannote[2736].end 17572.66034375
transcript.pyannote[2737].speaker SPEAKER_06
transcript.pyannote[2737].start 17572.66034375
transcript.pyannote[2737].end 17572.69409375
transcript.pyannote[2738].speaker SPEAKER_09
transcript.pyannote[2738].start 17572.69409375
transcript.pyannote[2738].end 17572.76159375
transcript.pyannote[2739].speaker SPEAKER_06
transcript.pyannote[2739].start 17572.76159375
transcript.pyannote[2739].end 17573.11596875
transcript.pyannote[2740].speaker SPEAKER_06
transcript.pyannote[2740].start 17574.60096875
transcript.pyannote[2740].end 17579.25846875
transcript.pyannote[2741].speaker SPEAKER_32
transcript.pyannote[2741].start 17579.25846875
transcript.pyannote[2741].end 17581.67159375
transcript.pyannote[2742].speaker SPEAKER_06
transcript.pyannote[2742].start 17581.67159375
transcript.pyannote[2742].end 17583.84846875
transcript.pyannote[2743].speaker SPEAKER_32
transcript.pyannote[2743].start 17581.73909375
transcript.pyannote[2743].end 17581.97534375
transcript.pyannote[2744].speaker SPEAKER_32
transcript.pyannote[2744].start 17582.88659375
transcript.pyannote[2744].end 17582.97096875
transcript.pyannote[2745].speaker SPEAKER_32
transcript.pyannote[2745].start 17583.19034375
transcript.pyannote[2745].end 17583.22409375
transcript.pyannote[2746].speaker SPEAKER_32
transcript.pyannote[2746].start 17583.25784375
transcript.pyannote[2746].end 17583.67971875
transcript.pyannote[2747].speaker SPEAKER_32
transcript.pyannote[2747].start 17583.83159375
transcript.pyannote[2747].end 17587.17284375
transcript.pyannote[2748].speaker SPEAKER_06
transcript.pyannote[2748].start 17584.10159375
transcript.pyannote[2748].end 17584.15221875
transcript.pyannote[2749].speaker SPEAKER_06
transcript.pyannote[2749].start 17584.23659375
transcript.pyannote[2749].end 17585.09721875
transcript.pyannote[2750].speaker SPEAKER_06
transcript.pyannote[2750].start 17585.92409375
transcript.pyannote[2750].end 17587.22346875
transcript.pyannote[2751].speaker SPEAKER_32
transcript.pyannote[2751].start 17587.20659375
transcript.pyannote[2751].end 17588.62409375
transcript.pyannote[2752].speaker SPEAKER_06
transcript.pyannote[2752].start 17588.62409375
transcript.pyannote[2752].end 17589.97409375
transcript.pyannote[2753].speaker SPEAKER_06
transcript.pyannote[2753].start 17590.54784375
transcript.pyannote[2753].end 17591.25659375
transcript.pyannote[2754].speaker SPEAKER_33
transcript.pyannote[2754].start 17591.98221875
transcript.pyannote[2754].end 17593.87221875
transcript.pyannote[2755].speaker SPEAKER_06
transcript.pyannote[2755].start 17592.06659375
transcript.pyannote[2755].end 17592.35346875
transcript.pyannote[2756].speaker SPEAKER_06
transcript.pyannote[2756].start 17594.27721875
transcript.pyannote[2756].end 17594.69909375
transcript.pyannote[2757].speaker SPEAKER_06
transcript.pyannote[2757].start 17595.66096875
transcript.pyannote[2757].end 17596.03221875
transcript.pyannote[2758].speaker SPEAKER_32
transcript.pyannote[2758].start 17596.03221875
transcript.pyannote[2758].end 17596.04909375
transcript.pyannote[2759].speaker SPEAKER_06
transcript.pyannote[2759].start 17602.96784375
transcript.pyannote[2759].end 17604.41909375
transcript.pyannote[2760].speaker SPEAKER_33
transcript.pyannote[2760].start 17604.41909375
transcript.pyannote[2760].end 17605.19534375
transcript.pyannote[2761].speaker SPEAKER_33
transcript.pyannote[2761].start 17605.66784375
transcript.pyannote[2761].end 17605.71846875
transcript.pyannote[2762].speaker SPEAKER_33
transcript.pyannote[2762].start 17607.32159375
transcript.pyannote[2762].end 17607.54096875
transcript.pyannote[2763].speaker SPEAKER_33
transcript.pyannote[2763].start 17614.62846875
transcript.pyannote[2763].end 17618.34096875
transcript.pyannote[2764].speaker SPEAKER_32
transcript.pyannote[2764].start 17615.35409375
transcript.pyannote[2764].end 17615.38784375
transcript.pyannote[2765].speaker SPEAKER_06
transcript.pyannote[2765].start 17615.38784375
transcript.pyannote[2765].end 17616.97409375
transcript.pyannote[2766].speaker SPEAKER_32
transcript.pyannote[2766].start 17616.97409375
transcript.pyannote[2766].end 17617.44659375
transcript.whisperx[0].start 1913.422
transcript.whisperx[0].end 1927.169
transcript.whisperx[0].text 好,先請主任秘書報告出席人數。報告委員會出席委員11人以主法定人數。那現在開會。進行報告事項。請宣讀上一次會議的議事錄。立法院第11屆第1會期內政委員會第13次全體委員會議議事錄。時間113年4月22日星期一上午9時1分至12時29分。地點紅龍202會議室出席委員。
transcript.whisperx[1].start 1939.515
transcript.whisperx[1].end 1963.465
transcript.whisperx[1].text 張宏祿委員等14人﹑列席委員﹑鍾嘉斌委員等17人﹑列席官員﹑行政院秘書長李孟彥及相關人員﹑不當黨產處理委員會主任委員林峰政及相關人員﹑主席吳昭基委員其名。報告事項一、宣讀上次會議議事錄決定確定。二、處理113年度中央政府總預算案有關行政院預算凍結案計8案。三、處理113年度中央政府總預算案有關不當黨產處理委員會預算凍結書面報告案計1案。
transcript.whisperx[2].start 1966.866
transcript.whisperx[2].end 1970.471
transcript.whisperx[2].text 審查113年度中央政府總預算案有關行政院預算凍結書面報告案計2案。五、審查113年度中央政府總預算案有關不當黨產處理委員會預算凍結書面報告案計2案。
transcript.whisperx[3].start 1984.709
transcript.whisperx[3].end 2009.804
transcript.whisperx[3].text 討論事項和併詢答。行政院秘書長李孟燕、不到黨產處理委員會主任委員林峰正報告。委員張宏祿等18人質詢。分別由行政院秘書長、不到黨產處理委員會主任委員及相關人員答覆說明。登記發言委員除不在場者外其餘均與發言完畢。詢答結束。委員王美惠所提書面質詢列入記錄刊登公報。書面質詢及未及答覆部分請相關機關於一周內另以書面答覆並複製本會。決議討論事項1、2個案均另定期繼續審查。宣讀完畢。
transcript.whisperx[4].start 2016.991
transcript.whisperx[4].end 2019.833
transcript.whisperx[4].text 處理113年度中央政府總預算案有關內政部主管預算凍結案書面報告案計24案。
transcript.whisperx[5].start 2042.453
transcript.whisperx[5].end 2064.825
transcript.whisperx[5].text 討論事項一、審查內政部函送國家住宅及都市更新中心113年度預算凍結書面報告案計1案。二、審查113年度中央政府總預算案有關內政部主管預算凍結書面報告案計6案。三、審查國際法部分條文修正草案。一、行政院函清審議國際法部分條文修正草案。二、委員陸美林等18日凝聚國際法增訂第6條之1條文草案。
transcript.whisperx[6].start 2065.385
transcript.whisperx[6].end 2091.108
transcript.whisperx[6].text 委員陸美玲等21人擬拒國籍法第4條條文修正草案。委員蘇巧慧等18人擬拒國籍法第2條及第7條條文修正草案。委員陳培禮等18人擬拒國籍法增訂第6條之1條文草案。委員鄭天才等19人擬拒國籍法部分條文修正草案。委員陳玉珍等18人擬拒國籍法第4條及第7條條文修正草案。委員林一錦等21人及委員王美惠等19人分辨擬拒國籍法部分條文修正草案案。
transcript.whisperx[7].start 2092.148
transcript.whisperx[7].end 2114.1
transcript.whisperx[7].text 委員吳沛毅等17人擬拒國籍法第4條條文修正草案。委員張瑞雄等17人及委員鍾嘉斌等16人分辨擬拒國籍法部分條文修正草案。委員黃婕等20人擬拒國籍法第5條及第9條條文修正草案。委員王定宇等20人擬拒國籍法第2條及第19條條文修正草案。委員林戴化等17人擬拒國籍法第2條及第6條條文修正草案。
transcript.whisperx[8].start 2114.78
transcript.whisperx[8].end 2140.08
transcript.whisperx[8].text 臺灣民眾黨黨團拟據國際法第4條及第7條條案修正草案宣讀完畢。好,各位委員,上次會議議事錄有錯誤或遺漏?確定沒有?那議事錄就確定了。
transcript.whisperx[9].start 2143.622
transcript.whisperx[9].end 2167.72
transcript.whisperx[9].text 處理113年度中央政府總預算案有關內政部主管預算凍結案計24案。今夕提書面報告後,使得動之之案,跟委員會報告。現在我們書面報告已經提送,請各位委員有沒有意見?沒有齁?
transcript.whisperx[10].start 2171.749
transcript.whisperx[10].end 2181.811
transcript.whisperx[10].text 審查內政部主管預算凍結書面報告案計2案。三、審查內政部主管預算凍結書面報告案計2案。四、審查內政部主管預算凍結書面報告案計2案。三、審查內政部主管預算凍結書面報告案計2案。四、審查內政部主管預算凍結書面報告案計2案。四、審查內政部主管預算凍結書面報告案計2案。四、審查內政部主管預算凍結書面報告案計2案。四、審查內政部主管預算凍結書面報告案計2案。四、審查內政部主管預算凍結書面報告案計2案。
transcript.whisperx[11].start 2205.768
transcript.whisperx[11].end 2233.02
transcript.whisperx[11].text 中央政府總預算凍結書面報告案計6案。三、中央政府總預算凍結書面報告案計6案。四、中央政府總預算凍結書面報告案計6案。三、中央政府總預算凍結書面報告案計6案。四、中央政府總預算凍結書面報告案計6案。四、中央政府總預算凍結書面報告案計6案。四、中央政府總預算凍結書面報告案計6案。四、中央政府總預算凍結書面報告案計6案。四、中央政府總預算凍結書面報告案計6案。四、中央政府總預算凍結書面報告案計6案。四、中央政府總預算凍結書面報告
transcript.whisperx[12].start 2235.394
transcript.whisperx[12].end 2262.728
transcript.whisperx[12].text 代理師長陳子和、代理師長鄭英宏、次長許守國、次長施明士、次長林清奇、次長王承基、
transcript.whisperx[13].start 2265.34
transcript.whisperx[13].end 2292.561
transcript.whisperx[13].text 市長黃國毅、署長鍾景坤、署長吳新修、署長肖煥章、副署長陳永利、署長王榮進、副執行長柯茂榮、
transcript.whisperx[14].start 2298.554
transcript.whisperx[14].end 2311.32
transcript.whisperx[14].text 副執行長副執行長副執行長副執行長副執行長副執行長副執行長副執行長副執行長副執行長副執行長副執行長副執行長副執行長副執行長副執行長副執行長副執行長副執行長副執行長副執行長副執行長副執行長副執行長副執行長副執行長副執行長
transcript.whisperx[15].start 2329.456
transcript.whisperx[15].end 2357.629
transcript.whisperx[15].text 參事廖江憲、組長林之瑞、檢任視察李培炎、科長江元生。好,謝謝這以上列席官員。好,再補充報告,我們委員李博義委員在現場。
transcript.whisperx[16].start 2360.54
transcript.whisperx[16].end 2375.325
transcript.whisperx[16].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[17].start 2379.95
transcript.whisperx[17].end 2391.59
transcript.whisperx[17].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[18].start 2395.438
transcript.whisperx[18].end 2402.2
transcript.whisperx[18].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[19].start 2425.697
transcript.whisperx[19].end 2444.873
transcript.whisperx[19].text 那你馬上看看我們上次除了把這個條文內裡面的那個盟戰委員會把他給拿掉還有這個關於這些規劃的一些規範這麼久的時間了我們都沒有去動他那本期這幾年我想我們也跟其他的委員一直在對整個體育運動的一個推動
transcript.whisperx[20].start 2445.633
transcript.whisperx[20].end 2450.278
transcript.whisperx[20].text 審查內政部主管預算凍結書面報告案計1案。三、審查內政部主管預算凍結書面報告案計1案。四、審查內政部主管預算凍結書面報告案計1案。三、審查內政部主管預算凍結書面報告案計1案。四、審查內政部主管預算凍結書面報告案計1案。
transcript.whisperx[21].start 2464.793
transcript.whisperx[21].end 2469.855
transcript.whisperx[21].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[22].start 2489.122
transcript.whisperx[22].end 2495.008
transcript.whisperx[22].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[23].start 2504.278
transcript.whisperx[23].end 2507.001
transcript.whisperx[23].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[24].start 2523.88
transcript.whisperx[24].end 2551.147
transcript.whisperx[24].text 借此來增加優秀外國人才規劃我國的一個誘因來幫助我國各項產業的一個發展在籃球跟足球等項目國家代表隊方面也可以加入更多認同我國的一個優秀人才讓台灣的體育運動發展更能夠如虎添翼那期望我們在場所有的委員能夠支持在後續的一個修法審查過程中凝聚最大的一個共識讓這個修法工程更真完善那我想
transcript.whisperx[25].start 2551.747
transcript.whisperx[25].end 2557.611
transcript.whisperx[25].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[26].start 2579.275
transcript.whisperx[26].end 2586.38
transcript.whisperx[26].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[27].start 2601.243
transcript.whisperx[27].end 2603.385
transcript.whisperx[27].text 這次國籍法的修法本席是針對無國籍兒童在入籍我國以及專業人才規劃修訂第4條及增訂第6條之一。以下本席分別提案說明根據移民署統計
transcript.whisperx[28].start 2622.465
transcript.whisperx[28].end 2632.232
transcript.whisperx[28].text 96年1月到113年1月底移民署接收之非本國籍新生兒通報有16869人。經比對跟篩率產婦的資料其中生母為失聯移工或不實身份者有754人,可是本區認為黑數會比這個數字還要多。
transcript.whisperx[29].start 2642.819
transcript.whisperx[29].end 2648.825
transcript.whisperx[29].text 審查內政部函送國家住宅及都市更新中心111案。四、審查內政部函送國家住宅及都市更新中心111案。五、審查內政部函送國家住宅及都市更新中心111案。六、審查內政部函送國家住宅及都市更新中心111案。
transcript.whisperx[30].start 2662.057
transcript.whisperx[30].end 2670.125
transcript.whisperx[30].text 審查內政部主管預算凍結書面報告案計1案。三、審查內政部主管預算凍結書面報告案計1案。四、審查內政部主管預算凍結書面報告案計1案。五、審查內政部主管預算凍結書面報告案計1案。
transcript.whisperx[31].start 2681.837
transcript.whisperx[31].end 2688.3
transcript.whisperx[31].text 原提案修正國籍法第4條,其監會人為法院裁定之社會福利主管機關者,得申請規劃我國國籍。
transcript.whisperx[32].start 2699.966
transcript.whisperx[32].end 2707.892
transcript.whisperx[32].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[33].start 2726.025
transcript.whisperx[33].end 2730.146
transcript.whisperx[33].text 審查內政部主管預算凍結書面報告案計1案。三、審查內政部主管預算凍結書面報告案計1案。四、審查內政部主管預算凍結書面報告案計1案。五、審查內政部主管預算凍結書面報告案計1案。六、審查內政部主管預算凍結書面報告案計1案。七、審查內政部主管預算凍結書面報告案計1案。
transcript.whisperx[34].start 2750.151
transcript.whisperx[34].end 2767.557
transcript.whisperx[34].text 原提案增訂第6條之一,規定有特殊專業技能必經政府機關或民間企業聘任專職開放期只需連續在臺灣居留2年而且平均每年居住183日以上或居留繼續5年以上者,亦可申請規劃。
transcript.whisperx[35].start 2772.469
transcript.whisperx[35].end 2780.387
transcript.whisperx[35].text 審查內政部函送國家住宅及都市更新中心111案。三、審查內政部函送國家住宅及都市更新中心111案。四、審查內政部函送國家住宅及都市更新中心111案。
transcript.whisperx[36].start 2787.871
transcript.whisperx[36].end 2811.09
transcript.whisperx[36].text 本期針對國際法第4條及第7條提出修正法案主要是因為建議我國民法修正後已經將成年年齡調降到18歲而且自民國112年1月1日起實施為使國際法可以配合民法對於涉及外籍人士相關年齡規範也用年齡來表示時期能有一致性的規定所以特別提出相關的這個修法的提案
transcript.whisperx[37].start 2811.69
transcript.whisperx[37].end 2815.193
transcript.whisperx[37].text 審查內政部主管預算凍結書面報告案計1案。三、審查內政部主管預算凍結書面報告案計1案。四、審查內政部主管預算凍結書面報告案計1案。五、審查內政部主管預算凍結書面報告案計1案。
transcript.whisperx[38].start 2833.166
transcript.whisperx[38].end 2833.767
transcript.whisperx[38].text 臺灣最美的風景是冷靜。
transcript.whisperx[39].start 2848.166
transcript.whisperx[39].end 2854.27
transcript.whisperx[39].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[40].start 2874.79
transcript.whisperx[40].end 2875.511
transcript.whisperx[40].text 黃婕委員提案說明
transcript.whisperx[41].start 2889.313
transcript.whisperx[41].end 2892.756
transcript.whisperx[41].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[42].start 2904.887
transcript.whisperx[42].end 2917.612
transcript.whisperx[42].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管
transcript.whisperx[43].start 2934.198
transcript.whisperx[43].end 2943.96
transcript.whisperx[43].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[44].start 2961.003
transcript.whisperx[44].end 2970.529
transcript.whisperx[44].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[45].start 2996.934
transcript.whisperx[45].end 3011.659
transcript.whisperx[45].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管
transcript.whisperx[46].start 3020.441
transcript.whisperx[46].end 3025.104
transcript.whisperx[46].text 審查內政部主管預算凍結書面報告案計1案。三、審查內政部主管預算凍結書面報告案計1案。四、審查內政部主管預算凍結書面報告案計1案。三、審查內政部主管預算凍結書面報告案計1案。四、審查內政部主管預算凍結書面報告案計1案。
transcript.whisperx[47].start 3036.75
transcript.whisperx[47].end 3042.054
transcript.whisperx[47].text 審查內政部主管預算凍結書面報告案計1案。三、審查內政部主管預算凍結書面報告案計1案。四、審查內政部主管預算凍結書面報告案計1案。五、審查內政部主管預算凍結書面報告案計1案。六、審查內政部主管預算凍結書面報告案計1案。
transcript.whisperx[48].start 3058.584
transcript.whisperx[48].end 3062.467
transcript.whisperx[48].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[49].start 3088.507
transcript.whisperx[49].end 3092.911
transcript.whisperx[49].text 審查內政部主管預算凍結書面報告案計1案。三、審查內政部主管預算凍結書面報告案計1案。四、審查內政部主管預算凍結書面報告案計1案。五、審查內政部主管預算凍結書面報告案計1案。六、審查內政部主管預算凍結書面報告案計1案。
transcript.whisperx[50].start 3109.327
transcript.whisperx[50].end 3131.291
transcript.whisperx[50].text 所以為了希望可以協助擴充我國體育運動代表隊的人才庫還有選才的可能性增加我國競技體育的競爭力所以我們提出了國籍法第6條之1的條文草案並且我們還原用了國家體育競技代表隊服務補充兵役辦法精神設定規劃球員列管期限以及撤銷規劃許可的但書以上敬請參考謝謝
transcript.whisperx[51].start 3138.699
transcript.whisperx[51].end 3151.23
transcript.whisperx[51].text 審查內政部主管預算凍結書面報告案計1案。三、審查內政部主管預算凍結書面報告案計1案。四、審查內政部主管預算凍結書面報告案計1案。五、審查內政部主管預算凍結書面報告案計1案。
transcript.whisperx[52].start 3164.268
transcript.whisperx[52].end 3176.898
transcript.whisperx[52].text 聯合國兒童權利公約第7條規定,兒童自出生起即應有取得姓名及國籍之權利。我國制定兒童權利公約施行法,業於2014年生效,明定該公約具有國內法律之效力。
transcript.whisperx[53].start 3177.558
transcript.whisperx[53].end 3198.551
transcript.whisperx[53].text 隨著全球化浪潮、跨越國界移動的人口逐漸增加,個人的國籍問題亦趨於複雜化。我國為因應非本國籍無依而少之困境,歷經多次政策轉變。內政部2017年公告這函示尤其是重大突破,讓非本國籍而少在尋找生母為國之後,得以被認定為無國籍人,進行出養媒合。
transcript.whisperx[54].start 3200.192
transcript.whisperx[54].end 3217.079
transcript.whisperx[54].text 進行收出養媒合及規劃為現行能透過該途徑取得國籍之兒少人為少數。為了落實兒童權利公約精神本席特意提出國籍法第二條及第七條條文修正草案。重點如下。第一,國籍法第二條第一項第三款規定
transcript.whisperx[55].start 3217.739
transcript.whisperx[55].end 3245.978
transcript.whisperx[55].text 出生於中華民國領域內父母均無可考或均無國籍者屬於中華民國國籍,故本席主張出生於中華民國領域內其母為外國人,但有事實足任其刑方不明者視同無可考。一、在兒少身負不詳之前提正母攜循生母未果後,該兒少即適用前述規定取得有國國籍,除能縮短行政時程提升兒少收出養媒合率成功之外,
transcript.whisperx[56].start 3246.858
transcript.whisperx[56].end 3265.204
transcript.whisperx[56].text 也降低兒少在等待過程中的身心影響。第二、考量部分國家之法律或政策不允許放棄原屬國國籍或虛擬一定年齡以上使得放棄原屬國籍故增訂單書,必須保障規劃人之未成年子女於過渡期之權益。以上說明,請您獲得各位委員的支持。謝謝。
transcript.whisperx[57].start 3273.359
transcript.whisperx[57].end 3279.224
transcript.whisperx[57].text 審查內政部主管預算凍結書面報告案計1案。三、審查內政部主管預算凍結書面報告案計1案。四、審查內政部主管預算凍結書面報告案計1案。五、審查內政部主管預算凍結書面報告案計1案。
transcript.whisperx[58].start 3296.7
transcript.whisperx[58].end 3299.642
transcript.whisperx[58].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[59].start 3325.499
transcript.whisperx[59].end 3331.68
transcript.whisperx[59].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[60].start 3354.005
transcript.whisperx[60].end 3358.366
transcript.whisperx[60].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[61].start 3380.831
transcript.whisperx[61].end 3385.673
transcript.whisperx[61].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[62].start 3406.68
transcript.whisperx[62].end 3420.791
transcript.whisperx[62].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[63].start 3436.767
transcript.whisperx[63].end 3445.773
transcript.whisperx[63].text 審查內政部主管預算凍結書面報告案計1案。三、審查內政部主管預算凍結書面報告案計1案。四、審查內政部主管預算凍結書面報告案計1案。五、審查內政部主管預算凍結書面報告案計1案。
transcript.whisperx[64].start 3460.835
transcript.whisperx[64].end 3482.803
transcript.whisperx[64].text 我也是有提案就國籍法的第4條來進行修正那希望能夠來協助目前非本國籍或是無國籍遭遺棄的兒少能夠來獲得他們生存保障的權利那因為我們台灣的國籍法是屬於是採屬人主義所以我們是看父母的國籍來決定孩子的國籍
transcript.whisperx[65].start 3483.343
transcript.whisperx[65].end 3488.785
transcript.whisperx[65].text 審查113年度中央政府總預算案有關內政部主管預算凍結書面報告案。三、審查113年度中央政府總預算案有關內政部主管預算凍結書面報告案。四、審查113年度中央政府總預算案有關內政部主管預算凍結書面報告案。五、審查113年度中央政府總預算案有關內政部主管預算凍結書面報告案。
transcript.whisperx[66].start 3505.811
transcript.whisperx[66].end 3513.598
transcript.whisperx[66].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[67].start 3533.115
transcript.whisperx[67].end 3537.539
transcript.whisperx[67].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[68].start 3551.511
transcript.whisperx[68].end 3559.095
transcript.whisperx[68].text 審查內政部主管預算凍結書面報告案計1案。三、審查內政部主管預算凍結書面報告案計1案。四、審查內政部主管預算凍結書面報告案計1案。三、審查內政部主管預算凍結書面報告案計1案。四、審查內政部主管預算凍結書面報告案計1案。四、審查內政部主管預算凍結書面報告案計1案。
transcript.whisperx[69].start 3576.923
transcript.whisperx[69].end 3585.246
transcript.whisperx[69].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[70].start 3613.208
transcript.whisperx[70].end 3614.629
transcript.whisperx[70].text 針對國籍法跟預算解凍一起報告。
transcript.whisperx[71].start 3622.737
transcript.whisperx[71].end 3651.184
transcript.whisperx[71].text 各位委員各位先敬大家早我先針對國籍法的部分來做說明首先也對委員對內政業務的重視和指導表達有種感謝今天貴委員會審查國籍法部分條文修正草案共16案本部應要列席報告並備詢深感榮幸有關羅美玲委員、王美惠委員、吳佩儀委員、林益錦委員、陳玉珍委員、鄭天才委員、莊惠雄委員及鍾嘉斌委員等
transcript.whisperx[72].start 3651.824
transcript.whisperx[72].end 3673.71
transcript.whisperx[72].text 部分提案內容與行政院版修正方向一致,竟表同意。至於其他提案,請將本部意見、二要說明如下,進行委員參考。第一,有關書曉慧委員提案,出生於我國領域內,其母為外國人,但有事實足證,足認其刑方不明者,視同無可考,而取得我國國籍。
transcript.whisperx[73].start 3674.97
transcript.whisperx[73].end 3697.913
transcript.whisperx[73].text 為保障室內兒少權益,依據在台出生非本國籍兒少少年申請認定為無國籍人一覽表的流程規定,經認定為無國籍人可申請規劃取得國籍,即可獲得解決。至於王定義委員及林大化委員提案徵定無國籍人的定義,
transcript.whisperx[74].start 3699.154
transcript.whisperx[74].end 3712.749
transcript.whisperx[74].text 經查本法的施行細則,系就無國籍人為名詞解釋,並沒有就無國籍人的權利加以限制,因無違反法律保留原則,所以也建請能夠保留斟酌。
transcript.whisperx[75].start 3714.15
transcript.whisperx[75].end 3739.161
transcript.whisperx[75].text 第二、關於民眾黨提案未保障18歲以上未滿20歲人的規劃權益,我們將未婚未成年修正為未婚且未滿20歲。查18歲以上未滿20歲的人,依現行民法規定已具備完全行為能力,可主張自身的權利義務。如果我們對這些人仍得依附
transcript.whisperx[76].start 3739.981
transcript.whisperx[76].end 3748.207
transcript.whisperx[76].text 父母養父母申請規劃,將與保障未成年人隨同規劃的立法意旨不符,建請能夠再與斟酌。
transcript.whisperx[77].start 3750.273
transcript.whisperx[77].end 3776.695
transcript.whisperx[77].text 有關王美玲委員、陳培英委員提案高級專業人才之規劃許可得付撤銷條件的付款,即6年內曾具有大陸地區人民不適用高專規劃的規定,考量國籍為個人身份變動的重大事項,應確保其安定性。有醫學者的意見,不宜增訂付條件的付款。
transcript.whisperx[78].start 3777.435
transcript.whisperx[78].end 3801.012
transcript.whisperx[78].text 至於提高高專人才6年內曾具大陸地區人民身份不得以高專規劃一截,取等如符合台灣地區及大陸地區人民關係條例可認定為外國人之要件,即可以外國人身份申請規劃。審查時易經國家安全局等機關嚴格把關,所以應該無需再針對4類人員的申請規劃另訂規範,也建請在與斟酌。
transcript.whisperx[79].start 3806.556
transcript.whisperx[79].end 3827.654
transcript.whisperx[79].text 有關黃委員提案外國人或無國籍人具特殊領域專業人才經政府機關企業或聘任者合法拘留至至少兩年,亦得申請規劃,免提喪失原有國籍證明。由於本次修法放寬高級專業人才規劃年限已含括上述對象,建請再與斟酌。
transcript.whisperx[80].start 3829.415
transcript.whisperx[80].end 3848.323
transcript.whisperx[80].text 五、網美會委員提案增訂有書勳於我國認定原則應備文件、處理程序等標準。查本部定有規劃國籍有書勳於我國者認定原則,實務運作並無摯愛。四、沒有必要再另訂規範,建請再與斟酌。
transcript.whisperx[81].start 3851.207
transcript.whisperx[81].end 3870.7
transcript.whisperx[81].text 陳恒宇委員提案外國人之父母於本法89年2月9日修正施行時已滿20歲且其父母之母為我國國民如予取得國籍後直接代表我國參與國際賽事得經本人同意後申請規劃免提上司原國籍證明。
transcript.whisperx[82].start 3871.8
transcript.whisperx[82].end 3891.699
transcript.whisperx[82].text 經查本法已明訂高級住宅人才申請規劃的要件跟流程,應該已無須再針對體育人士另訂規範,也建請再予斟酌。二、有關蘇巧慧委員提案配合《民法》成年年齡及男女最低結婚年齡修正為18歲,原刪除未婚的文字。
transcript.whisperx[83].start 3892.813
transcript.whisperx[83].end 3916.22
transcript.whisperx[83].text 另因原屬國規定至無法放棄原國籍者應確保其權利義務。經查民法修正後已不會發生國人未滿18歲但已婚的情況。但是世界各國法律結婚年齡不同,仍存在外國人未滿18歲但已結婚的狀況,所以未婚的文字似乎還不宜現在就刪除。
transcript.whisperx[84].start 3916.86
transcript.whisperx[84].end 3943.172
transcript.whisperx[84].text 另外規劃者自許可規劃其取得國人身份並享有相關權利,為部分法律規定以當事人設有戶籍為享有權利要件,因涉及各該法規規定,不宜以概由本法予以規範。建請在與斟酌。另外,宗嘉兵委員提案高專人才或疏訊規劃者之配偶及未成年子女得隨同規劃,且無需上司擁有國籍。
transcript.whisperx[85].start 3945.113
transcript.whisperx[85].end 3965.687
transcript.whisperx[85].text 規劃經撤銷或廢止後其配偶子女之規劃亦隨同撤銷或廢止。考量四類規劃者之配偶及未成年子女並非我國所需之人才或為我國所要感謝之對象,如放寬取等申請規劃無需上司員國籍,將與立法目的不符。
transcript.whisperx[86].start 3966.929
transcript.whisperx[86].end 3984.14
transcript.whisperx[86].text 此外,基於結婚與國籍分離原則,外國人於婚姻存續期間一方面改變國籍,均不當然改變另一方國籍。所以,關於其配偶及子女國籍方面,應給予當事人自主決定,適不宜增加該隨同撤銷規定,進行予以斟酌。
transcript.whisperx[87].start 3987.67
transcript.whisperx[87].end 4008.122
transcript.whisperx[87].text 王定義委員提案第19條第一項規定文字應予以修正除違反第9條第一項規定應撤銷其規劃許可外以渡爭議案本條第一項系規範國籍變更案件的撤銷權行使期間及處置期間同時為除外形式之規定
transcript.whisperx[88].start 4014.225
transcript.whisperx[88].end 4033.77
transcript.whisperx[88].text 該除外情勢即只為依本法第9條第1項規定依現提出上司原國籍證明遭撤銷規劃之情形,因無違物,見請再與遵著。以上報告見請委員指教。因為我在針對預算解凍的部分來做簡要的報告。
transcript.whisperx[89].start 4035.595
transcript.whisperx[89].end 4047.218
transcript.whisperx[89].text 審查內政部主管預算凍結書面報告案計1案。三、審查內政部主管預算凍結書面報告案計1案。四、審查內政部主管預算凍結書面報告案計1案。三、審查內政部主管預算凍結書面報告案計1案。四、審查內政部主管預算凍結書面報告案計1案。五、審查內政部主管預算凍結書面報告案計1案。
transcript.whisperx[90].start 4060.462
transcript.whisperx[90].end 4075.587
transcript.whisperx[90].text 行政院在112年12月5日也成立了《個人資料保護委員會籌備處》,對於新式身份證後續推動,將在進行政策、治安及法治等方面之跨部會意見整合。
transcript.whisperx[91].start 4077.199
transcript.whisperx[91].end 4093.581
transcript.whisperx[91].text 另外,為了維持呼籲證系統24小時服務,本部持續辦理軟體維護、功能增修及架構精進及加強各自防護作業,並辦理呼籲證、地證資訊系統。這三大功有餘,支援租賃、
transcript.whisperx[92].start 4095.143
transcript.whisperx[92].end 4121.446
transcript.whisperx[92].text 分辭加密傳輸備份資料機制授權等實施策略。另外,關於國土管理署第三目國土管理業務部分,說明如下。第一,原住民族土地使用管制規則的草案已納入福島部落既有居住用地的合法機制,並也召開演商會議。四、釐清原住民族傳統文化與土地使用特殊需求,
transcript.whisperx[93].start 4122.326
transcript.whisperx[93].end 4143.414
transcript.whisperx[93].text 將加速法定原定作業。第二、為了減少安裝室外冷氣機不慎掉落意外,國土署已頒布了《空調家電安裝及維修空間規劃設計指導原則》。另外,《公共大廈管理條例》第10條也已經就建築物專有及共有部分的修繕管理維護明定全責。
transcript.whisperx[94].start 4144.754
transcript.whisperx[94].end 4168.646
transcript.whisperx[94].text 三、為了讓公設負擔更加合理,國土署也已經針對虛憑改革的規劃研議納入未買停車位者免負擔車道面積,對免金融機額度有餘裕腐爛的項目訂定上限等方向處理。四、為利社會大眾了解國土變異點查報情形,國土利用監測整合資訊網以建置變異點查報進度,
transcript.whisperx[95].start 4173.974
transcript.whisperx[95].end 4182.887
transcript.whisperx[95].text 並且公開而且每月定期更新並將持續督導地方政府加強查處以及適時徵修系統的功能。
transcript.whisperx[96].start 4184.202
transcript.whisperx[96].end 4207.61
transcript.whisperx[96].text 五、為了加速推動維好建物辦理都市更新,國土署也持續檢討相關法令精進簡化流程和審議程序,延長稅均減免等實施期間等措施。六、為了訂定合理的社會住宅分級收費租金原則,已經邀請各界來研議社宅租金分級收費原則的草案。
transcript.whisperx[97].start 4208.63
transcript.whisperx[97].end 4227.834
transcript.whisperx[97].text 後續也將在與地方政府針對各項問題討論確定後將儘速完成法制程序。第七、為了能夠更公平及多元保障國人居住權益也召開延伸社會住宅入住登記機制裁加簽制或輪候制的會議也針對相關會議召開社會住宅
transcript.whisperx[98].start 4232.11
transcript.whisperx[98].end 4245.201
transcript.whisperx[98].text 移民管理大平台討論定定統一標準。八、三百億元中央擴大租金補貼專案截止今年3月抵止,民眾申請超過64萬戶,處理完成57萬餘戶,後續將令
transcript.whisperx[99].start 4252.507
transcript.whisperx[99].end 4273.858
transcript.whisperx[99].text 成立專案辦公室來加速審查作業並提供諮詢專線以減少等候狀況。第九、為擴大淨零建築推動範圍、克正研擬新建建築物節約能源的設計標準及修正草案條文,也將邀集有關單位趕快延伸相關的作業程序來做因應。
transcript.whisperx[100].start 4274.918
transcript.whisperx[100].end 4294.965
transcript.whisperx[100].text 第十,為了強化高空作業現場監督確認、主管機關聯合稽查、工地巡查機制等制度,我們已經修正了強化建築物施工管理作業原則,也在今年3月29日函送地方政府,也將後續督促地方政府納入自治法規。
transcript.whisperx[101].start 4296.294
transcript.whisperx[101].end 4309.896
transcript.whisperx[101].text 第11關於臺北市文山區河灣區和青仁灣區社會住宅的新辦國家住居中心已多次出席市長與里長市政座談並拜會里長,持續溝通說明,已取得相當共識。
transcript.whisperx[102].start 4312.045
transcript.whisperx[102].end 4334.908
transcript.whisperx[102].text 在行政法人國家住宅中心的業務成本費用的部分說明。一、國家住宅中心辦理為了重建,截至今年3月底通過10案,預算執行率已有提升,另於正式受理申請前已設立輔導機制,協助個案釐清議題並加速作業。二、截至今年3月底,
transcript.whisperx[103].start 4335.669
transcript.whisperx[103].end 4359.523
transcript.whisperx[103].text 住宅中心侵犯社會住宅已達52796戶,也將滾動檢討經濟、設宅興建及營運管理機制,逐步建立全國一致的制度,並持續辦理與公會業者的教育訓練,提升包租代管的有效契約。以上是本部主管業務經大院審查,希望能夠予以支持本部已實施計畫,審慎督促各機關單位全力積極辦理。
transcript.whisperx[104].start 4363.925
transcript.whisperx[104].end 4373.012
transcript.whisperx[104].text 前階預算凍結案,敬請貴委員會同意動之,必利各項業務推動。以上報告敬請各位委員、女士先生指教。謝謝。好,謝謝。謝謝我們內政部。我們發進請次長的檢調報告。那其他單位的報告請委員自行參閱並刊登公報。
transcript.whisperx[105].start 4387.042
transcript.whisperx[105].end 4408.513
transcript.whisperx[105].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管
transcript.whisperx[106].start 4416.783
transcript.whisperx[106].end 4427.287
transcript.whisperx[106].text 審查內政部函送國家住宅及都市更新中心111案。二、審查內政部函送國家住宅及都市更新中心111案。三、審查內政部函送國家住宅及都市更新中心111案。四、審查內政部函送國家住宅及都市更新中心111案。五、審查內政部函送國家住宅及都市更新中心111案。六、審查內政部函送國家住宅及都市更新中心111案。
transcript.whisperx[107].start 4446.364
transcript.whisperx[107].end 4459.416
transcript.whisperx[107].text 市長我們今天這個要處理國籍法的修正其實最主要的議題之一就是要能夠對所謂的黑戶寶寶非本國籍無一而少他的權益再做進一步的討論和修正
transcript.whisperx[108].start 4460.757
transcript.whisperx[108].end 4464.019
transcript.whisperx[108].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[109].start 4490.837
transcript.whisperx[109].end 4493.881
transcript.whisperx[109].text 審查內政部主管預算凍結書面報告案計2案。三、審查內政部主管預算凍結書面報告案計4案。四、審查內政部主管預算凍結書面報告案計5案。五、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[110].start 4507.557
transcript.whisperx[110].end 4513.02
transcript.whisperx[110].text 審查內政部函送國家住宅及都市更新中心1案。三、審查內政部函送國家住宅及都市更新中心1案。四、審查內政部函送國家住宅及都市更新中心1案。五、審查內政部函送國家住宅及都市更新中心1案。
transcript.whisperx[111].start 4532.825
transcript.whisperx[111].end 4550.068
transcript.whisperx[111].text 生母認為是未尋後生母的話是由內政部的戶政司進行認定然後才進行到無國籍的認定之後經過社政單位安排收出養依收養人的國籍來申請規劃是這段嘛對不對是好那部長次長請問一下啦我們目前這種所謂的黑戶寶寶到今年的統計大約是3000多人依照你這個流程跑完的請問有多少人已經走到了規劃的部分
transcript.whisperx[112].start 4564.29
transcript.whisperx[112].end 4592.148
transcript.whisperx[112].text 現在認定24位走到規劃有19位那你要不要再重複一次我剛剛說的話我們現在有這樣問題的黑戶寶寶有3000多位經過你精心設計的流程之後能夠被認定為無國籍的是24位再經過社政單位安排收出養規劃之後完成取得國籍的只有19位
transcript.whisperx[113].start 4594.342
transcript.whisperx[113].end 4618.122
transcript.whisperx[113].text 跟各位報告,其實當然我們通報有3600多位。實際上已出境的已經有2080位了。其實其中有超過2000位已經出境。那所以也還有1000多位嘛。1500多位在台灣。1500多位嘛,還留在台灣的嘛。對對對。對不對?所以我們今天要解決這樣的問題,然後也設計了一套流程。可是這套流程確實看起來很不錯、很完美,但
transcript.whisperx[114].start 4618.542
transcript.whisperx[114].end 4621.304
transcript.whisperx[114].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[115].start 4649.462
transcript.whisperx[115].end 4656.584
transcript.whisperx[115].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[116].start 4674.628
transcript.whisperx[116].end 4679.111
transcript.whisperx[116].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[117].start 4701.966
transcript.whisperx[117].end 4706.69
transcript.whisperx[117].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[118].start 4724.685
transcript.whisperx[118].end 4727.226
transcript.whisperx[118].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[119].start 4746.616
transcript.whisperx[119].end 4749.299
transcript.whisperx[119].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[120].start 4764.013
transcript.whisperx[120].end 4768.816
transcript.whisperx[120].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[121].start 4794.813
transcript.whisperx[121].end 4800.455
transcript.whisperx[121].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。六、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[122].start 4817.799
transcript.whisperx[122].end 4829.265
transcript.whisperx[122].text 審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[123].start 4852.23
transcript.whisperx[123].end 4855.574
transcript.whisperx[123].text 審查內政部主管預算凍結書面報告案計2案。三、審查內政部主管預算凍結書面報告案計2案。四、審查內政部主管預算凍結書面報告案計2案。
transcript.whisperx[124].start 4861.343
transcript.whisperx[124].end 4867.647
transcript.whisperx[124].text 我來延續蘇協會委員剛才說的國籍在這方面剛才我們有探討到清規的應變到可以入國籍到19歲的孩子在這方面有規定外國要娶的三個月如果娶不到
transcript.whisperx[125].start 4886.438
transcript.whisperx[125].end 4911.666
transcript.whisperx[125].text 審查內政部主管預算凍結書面報告案計2案。三、審查內政部主管預算凍結書面報告案計4案。四、審查內政部主管預算凍結書面報告案計5案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[126].start 4913.666
transcript.whisperx[126].end 4923.092
transcript.whisperx[126].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[127].start 4943.385
transcript.whisperx[127].end 4947.729
transcript.whisperx[127].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[128].start 4963.003
transcript.whisperx[128].end 4969.846
transcript.whisperx[128].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[129].start 4983.611
transcript.whisperx[129].end 4987.777
transcript.whisperx[129].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[130].start 4998.652
transcript.whisperx[130].end 5007.356
transcript.whisperx[130].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。六、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[131].start 5025.615
transcript.whisperx[131].end 5036.239
transcript.whisperx[131].text 對於一個小孩來說,說實在,我們有很多不周全的地方。是,是,是,我們也很不敢啦。對啦,因為你如果想想,這麼多小孩,自己給自己的社會去評估之後,說實在,他是不是認真啊,不是認真啊。是。對不對,這要改進一下啦。好,這我們來點頭。我知道,我告訴你,剛才我告訴你,你要來開會的時候,你有先跟我說嗎?
transcript.whisperx[132].start 5055.043
transcript.whisperx[132].end 5057.166
transcript.whisperx[132].text 二、審查內政部主管預算凍結書面報告案計4案。三、審查內政部主管預算凍結書面報告案計4案。四、
transcript.whisperx[133].start 5072.854
transcript.whisperx[133].end 5086.099
transcript.whisperx[133].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[134].start 5101.724
transcript.whisperx[134].end 5105.83
transcript.whisperx[134].text 審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[135].start 5114.482
transcript.whisperx[135].end 5123.767
transcript.whisperx[135].text 審查內政部主管預算凍結書面報告案計2案。三、審查內政部主管預算凍結書面報告案計2案。四、審查內政部主管預算凍結書面報告案計2案。三、審查內政部主管預算凍結書面報告案計2案。四、審查內政部主管預算凍結書面報告案計2案。
transcript.whisperx[136].start 5140.137
transcript.whisperx[136].end 5143.978
transcript.whisperx[136].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[137].start 5170.1
transcript.whisperx[137].end 5175.764
transcript.whisperx[137].text 審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[138].start 5190.735
transcript.whisperx[138].end 5194.656
transcript.whisperx[138].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[139].start 5211.701
transcript.whisperx[139].end 5217.645
transcript.whisperx[139].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[140].start 5228.692
transcript.whisperx[140].end 5235.699
transcript.whisperx[140].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[141].start 5253.796
transcript.whisperx[141].end 5262.082
transcript.whisperx[141].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[142].start 5285.091
transcript.whisperx[142].end 5309.629
transcript.whisperx[142].text 謝謝委員會委員的發言,那我們下一位請劉新平委員,謝謝。好,謝謝,現在我們林樂昌部長已經時間,現在已經來到內政委員會了。好,謝謝主席,既然部長都到了,那就部長吧,跟花枝一起,一起,好不好。
transcript.whisperx[143].start 5311.466
transcript.whisperx[143].end 5313.409
transcript.whisperx[143].text 發誓在留步,先請部長跟次長。
transcript.whisperx[144].start 5323.823
transcript.whisperx[144].end 5324.203
transcript.whisperx[144].text 今天因為有審查預算凍結案
transcript.whisperx[145].start 5346.923
transcript.whisperx[145].end 5349.584
transcript.whisperx[145].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[146].start 5371.716
transcript.whisperx[146].end 5395.087
transcript.whisperx[146].text 租屋族的權益來說其實造成很大的壓力大家擔心說這個電價上漲之後會不會有轉嫁的行為所以說這個問題其實也是老生常談也就是說很多人都要去談說在這個租屋族跟房東的不對等的關係之下這個電費收取的這個問題那麼3月18號的時候這曾經部長也在這個內政委員會來做答詢的時候其實也有說一個月要解決這個問題
transcript.whisperx[147].start 5396.708
transcript.whisperx[147].end 5425.932
transcript.whisperx[147].text 今天是4月23號,所以是不是請部長來報告一下,現在這個問題解決了沒有?好,謝謝。我們在3月27號已經邀請相關機關團體召開第三次的一個座談會,並且把相關的一個規劃進行的一個方案來做一個討論跟確定。目前已經在進行預告,大概預告的時間是20天,預告完成之後,報行政院來做核定。
transcript.whisperx[148].start 5426.252
transcript.whisperx[148].end 5451.62
transcript.whisperx[148].text 因為你這個報告裡面有寫嘛就是說理論上來講要處理解凍案你就要提書面報告那書面報告其實時間已經過一個月了那你們現在程序你講說合訂你這個住宅租賃定型化契約應記載及不得記載事項寫完了沒?是我們已經修完了我們已經修完了那現在正在進行預告它需要一個預告的程序好那你簡單在這個地方報告一下就是說它修訂的方向是什麼?
transcript.whisperx[149].start 5451.88
transcript.whisperx[149].end 5468.328
transcript.whisperx[149].text 如何能夠確保租屋族的電費不會被人家超收的問題?我想這個部分大概分成兩點第一個是租屋電費的計收標準約定以用電度數計費者每度電價應不得超過該租賃標的電費單當期每度平均電價
transcript.whisperx[150].start 5475.471
transcript.whisperx[150].end 5490.237
transcript.whisperx[150].text 公共設施電費未分攤並入註定標的電費內者,不得額外收取。非約定以用電度數計費者、出租人所收取之每期電費總金額,不得超過該註定標的電費單之每期電費總額。
transcript.whisperx[151].start 5497.28
transcript.whisperx[151].end 5503.605
transcript.whisperx[151].text 租屋電費資訊提供,增訂房東應提供或授權房客查詢租賃期間租屋電費資訊的義務規定。
transcript.whisperx[152].start 5512.051
transcript.whisperx[152].end 5514.534
transcript.whisperx[152].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[153].start 5528.573
transcript.whisperx[153].end 5556.409
transcript.whisperx[153].text 我們這邊只要程序完成之後當然就會依這個相關新的規定來進行所以你現在講在公告期間內所以具體的一個上路的時間是幾月幾啊公告就是20天然後我們會報行政院核定核定完之後就可以公告完之後核定中還會有行政流程嗎我們現在預告預告完之後報行政院核定你現在預告期間結束是幾月幾啊行政院可能有一個審議的一個程序不是啦預告結束是幾月幾啊
transcript.whisperx[154].start 5557.85
transcript.whisperx[154].end 5564.352
transcript.whisperx[154].text 二、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[155].start 5582.579
transcript.whisperx[155].end 5596.872
transcript.whisperx[155].text 那第二個是今天要談一下這個租屋市場透明的問題所以我剛剛講花次去開會是有點可惜但沒關係既然部長來了那就由部長來做回答這個部長你同不同意就是說我們的租屋市場應該逐步朝向市場透明化的方向來處理
transcript.whisperx[156].start 5597.834
transcript.whisperx[156].end 5602.617
transcript.whisperx[156].text 我們現在手上已經掌握的相關的資料其實已經超過了一半了那這一半都是透明可揭露的資訊
transcript.whisperx[157].start 5623.731
transcript.whisperx[157].end 5643.841
transcript.whisperx[157].text 好現在我們現在還沒有像房屋實價登錄一樣變成全國性的大家都已經習慣有這樣子的一個機制那當然嘛這從無到有的過程中你總有先找出破口然後來逐步來處理所以本期的建議你在處理這個租屋市場透明的時候你要一次要求所有的房東立刻就範恐怕現實上會有困難這本期願意理解但是要有破口嘛
transcript.whisperx[158].start 5644.541
transcript.whisperx[158].end 5647.024
transcript.whisperx[158].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[159].start 5661.581
transcript.whisperx[159].end 5661.881
transcript.whisperx[159].text 審查內政部主管預算凍結書面報告案
transcript.whisperx[160].start 5691.901
transcript.whisperx[160].end 5701.167
transcript.whisperx[160].text 是不是應該做一些調整跟修正?是 這個我們正在研議修正當中研議修正當中我們這個在上個月已經有召開過相關的一個會議
transcript.whisperx[161].start 5702.27
transcript.whisperx[161].end 5729.68
transcript.whisperx[161].text 其實這些願意加入包租代管的人其實就已經等於是配合政府政策了嘛其實大家講說你租屋要納管最困難的就是房東願不願意納稅這件事情那你加入了當然就有納稅也就是說他其實最難的這一關都已經過了他都配合你的政策了對不對那你做資訊的揭露去做租屋市場透明的平台其實是相對於要求他們繳稅更簡單的事情嘛那其實就不要為德不足嘛也沒有什麼好道理說我只做包租沒有做代管
transcript.whisperx[162].start 5730.18
transcript.whisperx[162].end 5739.245
transcript.whisperx[162].text 審查內政部主管預算凍結書面報告案計1案。三、審查內政部主管預算凍結書面報告案計1案。四、審查內政部主管預算凍結書面報告案計1案。五、審查內政部主管預算凍結書面報告案計1案。
transcript.whisperx[163].start 5751.328
transcript.whisperx[163].end 5771.702
transcript.whisperx[163].text 我是希望這個東西一樣加入,其實當初其實我甚至都認為是可以一步到位,那沒辦法,那時候還沒有當選立法委員,沒機會討論這件事了,對不對?那就希望現在趕快做啦,不只是包租代管,未來你要把租屋補貼納入,那當你的案量其實有一定的時候,我們應該要比照房屋購買買賣實價登錄的方式,你要開始有網路上可以揭露,人民有易達性可以做查詢的這樣一個機制嘛。
transcript.whisperx[164].start 5772.583
transcript.whisperx[164].end 5778.186
transcript.whisperx[164].text 審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[165].start 5803.032
transcript.whisperx[165].end 5811.455
transcript.whisperx[165].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[166].start 5830.68
transcript.whisperx[166].end 5841.12
transcript.whisperx[166].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[167].start 5842.475
transcript.whisperx[167].end 5847.436
transcript.whisperx[167].text 花蓮兩棟大樓倒塌好險就是還沒有人傷亡因為都有很多房子因為結構收血還有紅單大家都在紅單黃單來去有警示單但是想要請問部長這些圍樓已經嚴重了而且就是危害到公共安全了有沒有要求拆除的有一個期程
transcript.whisperx[168].start 5871.52
transcript.whisperx[168].end 5880.024
transcript.whisperx[168].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[169].start 5899.875
transcript.whisperx[169].end 5922.925
transcript.whisperx[169].text 中央政府總預算案有關內政部主管預算凍結書面報告案計6案。三、中央政府總預算案有關內政部主管預算凍結書面報告案計6案。四、中央政府總預算案有關內政部主管預算凍結書面報告案計6案。三、中央政府總預算案有關內政部主管預算凍結書面報告案計6案。四、中央政府總預算案有關內政部主管預算凍結書面報告案計6案。四、中央政府總預算案有關內政部主管預算凍結書面報告案計6案。四、中央政府總預算案有關內政部主管預算凍結書面報告案計6案。四、中央政府總預算
transcript.whisperx[170].start 5929.728
transcript.whisperx[170].end 5935.05
transcript.whisperx[170].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[171].start 5945.629
transcript.whisperx[171].end 5950.514
transcript.whisperx[171].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、
transcript.whisperx[172].start 5962.264
transcript.whisperx[172].end 5967.23
transcript.whisperx[172].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[173].start 5978.164
transcript.whisperx[173].end 5984.107
transcript.whisperx[173].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[174].start 6001.437
transcript.whisperx[174].end 6004.321
transcript.whisperx[174].text 審查內政部主管預算凍結書面報告案計1案。三、審查內政部主管預算凍結書面報告案計1案。四、審查內政部主管預算凍結書面報告案計1案。五、審查內政部主管預算凍結書面報告案計1案。
transcript.whisperx[175].start 6017.42
transcript.whisperx[175].end 6021.801
transcript.whisperx[175].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[176].start 6035.305
transcript.whisperx[176].end 6039.789
transcript.whisperx[176].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[177].start 6062.248
transcript.whisperx[177].end 6068.579
transcript.whisperx[177].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[178].start 6073.326
transcript.whisperx[178].end 6079.431
transcript.whisperx[178].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。六、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[179].start 6096.988
transcript.whisperx[179].end 6099.032
transcript.whisperx[179].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[180].start 6108.095
transcript.whisperx[180].end 6114.599
transcript.whisperx[180].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[181].start 6133.212
transcript.whisperx[181].end 6140.02
transcript.whisperx[181].text 審查內政部主管預算凍結書面報告案計1案。三、審查內政部主管預算凍結書面報告案計1案。四、審查內政部主管預算凍結書面報告案計1案。三、審查內政部主管預算凍結書面報告案計1案。四、審查內政部主管預算凍結書面報告案計1案。五、審查內政部主管預算凍結書面報告案計1案。
transcript.whisperx[182].start 6153.775
transcript.whisperx[182].end 6170.663
transcript.whisperx[182].text 依承住人的薪水及負擔能力、訂定收費標準所違背的。請問部長有沒有考慮的是什麼,但是都沒有得到正面的回應?
transcript.whisperx[183].start 6171.903
transcript.whisperx[183].end 6172.244
transcript.whisperx[183].text 臺北、新北、桃園
transcript.whisperx[184].start 6192.04
transcript.whisperx[184].end 6204.373
transcript.whisperx[184].text 三個城市之下四的狀況也不一。其實像新北它是今年才開始但是實際上它還是採取一個非常嚴格的一個限制所以它實際上還是
transcript.whisperx[185].start 6207.135
transcript.whisperx[185].end 6210.856
transcript.whisperx[185].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[186].start 6231.883
transcript.whisperx[186].end 6239.607
transcript.whisperx[186].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[187].start 6258.078
transcript.whisperx[187].end 6261.802
transcript.whisperx[187].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[188].start 6278.226
transcript.whisperx[188].end 6286.53
transcript.whisperx[188].text 所以最後一題因為時間的關係想要請教部長大家今天都很注重的就是關於就是未成年規劃的部分因為民法的修正未成年的定義是從20歲下修到18歲導致原來很多人要申請規劃我們國籍的民眾
transcript.whisperx[189].start 6300.196
transcript.whisperx[189].end 6302.437
transcript.whisperx[189].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。六、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[190].start 6328.043
transcript.whisperx[190].end 6334.5
transcript.whisperx[190].text 審查內政部主管預算凍結書面報告案計1案。三、審查內政部主管預算凍結書面報告案計1案。四、審查內政部主管預算凍結書面報告案計1案。三、審查內政部主管預算凍結書面報告案計1案。四、審查內政部主管預算凍結書面報告案計1案。
transcript.whisperx[191].start 6340.705
transcript.whisperx[191].end 6364.952
transcript.whisperx[191].text 報告委員按照這個民法他把那個成年年齡都調降為18歲所以我們這個國籍法也一樣配合把它調降為18歲那因為調降為18歲之後這個外國人或者是本國人的話他18歲以上就有行為能力所以我們覺得他已經有行為能力了就不符合我們照顧這些未滿18歲未成年人來規劃國籍的事宜
transcript.whisperx[192].start 6368.379
transcript.whisperx[192].end 6381.642
transcript.whisperx[192].text 審查內政部函送國家住宅及都市更新中心113年度中央政府總預算凍結書面報告案計6案。三、審查內政部函送國家住宅及都市更新中心113年度中央政府總預算凍結書面報告案計6案。四、審查內政部函送國家住宅及都市更新中心113年度中央政府總預算凍結書面報告案。三、審查內政部函送國家住宅及都市更新中心113年度中央政府總預算凍結書面報告案。四、審查內政部函送國家住宅及都市更新中心113年度中央政府總預算凍結書面報告案。
transcript.whisperx[193].start 6391.875
transcript.whisperx[193].end 6398.702
transcript.whisperx[193].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[194].start 6416.039
transcript.whisperx[194].end 6423.503
transcript.whisperx[194].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[195].start 6443.753
transcript.whisperx[195].end 6450.976
transcript.whisperx[195].text 三、審查內政部主管預算凍結書面報告案計6案。四、三、審查內政部主管預算凍結書面報告案計6案。四、三、審查內政部主管預算凍結書面報告案計6案。四、三、審查內政部主管預算凍結書面報告案計6案。四、三、審查內政部主管預算凍結書面報告案計6案。四、三、審查內政部主管預算凍結書面報告案計6案。四、三、審查內政部主管預算凍結書面報告案計6案。四、三、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[196].start 6473.682
transcript.whisperx[196].end 6492.995
transcript.whisperx[196].text 今天特別本席來這邊質詢針對過去一直以來很多媒體上的一些假新聞而且說民進黨黨中央的一些對不管是對本席的抹黑造謠跟很多不實的訊息本席希望今天來做一個澄清而且做一個嚴正的檢討先請問一下部長你認不認識檢報上這位仁兄
transcript.whisperx[197].start 6497.936
transcript.whisperx[197].end 6518.495
transcript.whisperx[197].text 我想這個大家應該多少都認識,這是發言人吳征。好,謝謝,那我們簡單播一下影片。聲音幫我播一下。來,重新一次,沒關係,時間暫停一下,不好意思,我們沒有準備好。好,重新播一次。
transcript.whisperx[198].start 6522.661
transcript.whisperx[198].end 6532.907
transcript.whisperx[198].text 審查內政部主管預算凍結書面報告案計1案。三、審查內政部主管預算凍結書面報告案計1案。四、審查內政部主管預算凍結書面報告案計1案。五、審查內政部主管預算凍結書面報告案計1案。六、審查內政部主管預算凍結書面報告案計1案。七、審查內政部主管預算凍結書面報告案計1案。
transcript.whisperx[199].start 6550.507
transcript.whisperx[199].end 6571.452
transcript.whisperx[199].text 我先跟署長報告這個影片是民進黨在4月15號的黨中央辦的記者會他是在7點7分50秒到9分50秒我是完整的呈現只把這影片的速度加快一點請問署長這件事情你要不要現在鄭重來澄清你什麼時候到本席的辦公室我對於綜合會話段有沒有對你作施壓請你這個
transcript.whisperx[200].start 6572.912
transcript.whisperx[200].end 6574.394
transcript.whisperx[200].text 我到目前都還沒有進過您的辦公室。
transcript.whisperx[201].start 6581.052
transcript.whisperx[201].end 6605.292
transcript.whisperx[201].text 好那你是不是可以再跟大家澄清一下請問本席有沒有像民進黨發言人吳姓發言人講的有要求你到本席的辦公室來做綜合會謠段本席嘛還有署長嘛那地點本席辦公室針對事情做了會謠段有沒有對你施壓有沒有這件事情你再說明一次委員都還沒有找過我談過這件事
transcript.whisperx[202].start 6606.598
transcript.whisperx[202].end 6623.639
transcript.whisperx[202].text 所以部長、署長這很明顯的今天謝謝我們署長的呈敬這很明顯的就是民進黨的假訊息長期的對我們國民黨的這個立委抹黑跟造謠所以請署長在這邊公開的來譴責這件事情這樣的事情可以允許發生嗎
transcript.whisperx[203].start 6625.476
transcript.whisperx[203].end 6654.823
transcript.whisperx[203].text 跟委員報告因為這不是我的職權我只是要說明就沒有這您沒有來找過我談這件事情那本席是覺得非常特別啊難道是說好署長現在沒有要求你回答是不是你們平常就有在跟民進黨黨團民進黨中央做密切的聯絡不然這位發言人憑什麼說他知道署長的行程是不是有對你們施壓請問這樣能保持行政中立嗎你們是平常有沒有把你們內部的資訊署長的行程提供給民進黨中央請回答沒有
transcript.whisperx[204].start 6656.444
transcript.whisperx[204].end 6679.266
transcript.whisperx[204].text 好險你說沒有,如果你有說有的話,那你去提供給國民黨的黨團一份。那我要請教,是不是你回去要調查一下,這樣的資料提供的不實,是不是內部應該來做檢討?這樣子來去擋地方的建設,難道是因為本席對中和的淤水下水道,從民國93年以後實施到現在都沒有完成,還有10萬的住戶沒有完成,還是因為
transcript.whisperx[205].start 6679.907
transcript.whisperx[205].end 6701.709
transcript.whisperx[205].text 灰窯段從104年的建設案就擋到現在,連民進黨的家長餐委員也開過4次的協調,還有這邊資料都有。所以本席根本還來不及,現在在關心很多的建設案,根本還來不及來找你討論這些事情,結果被民進黨抹黑跟造謠。那請問一下署長,這邊要你回來防篤,來杜絕這樣的事情,請回答。跟委員報告,第一個,
transcript.whisperx[206].start 6702.43
transcript.whisperx[206].end 6730.663
transcript.whisperx[206].text 其實我們也沒有擋過綜合任何的下水道的案子,這一切都照新北市政府的既定進度。市長我知道你沒有擋,可是要這樣子抹黑造反的方式,那不是片面的在黨綜合的地方建設嗎?市長給你兩個方式來做,第一個,如果當行政院會被抹黑的時候,是不是應該發新聞稿來質詢?或是甚至啊,之前在選舉期間啊,其實行政部門也可以提告啊,請問你要選擇哪一種方式來澄清?
transcript.whisperx[207].start 6731.758
transcript.whisperx[207].end 6748.989
transcript.whisperx[207].text 跟委員報告因為不是我們自己不是我們自己行政院被抹黑這件事情所以我們當時其實我到今天也才知道有這一段新聞影片我們其實都沒有因為這不是屬於本院的行政院的這個這個新聞所以我們也沒有
transcript.whisperx[208].start 6751.734
transcript.whisperx[208].end 6763.53
transcript.whisperx[208].text 請問部長你們一般的SOP是這樣子做嗎?難道中央政府被抹黑造謠的時候你們完全不去看這些抹黑造謠而且是民進黨黨部的開的記者會發言人開的記者會你們完全沒有掌握這樣的訊息嗎?
transcript.whisperx[209].start 6764.878
transcript.whisperx[209].end 6784.945
transcript.whisperx[209].text 完全不澄清嗎?委員這個針對個案的部分而且這個不是內政部也不是國土署發的所以這個不是說要去澄清我們的部分那我剛剛已經舉報了有這樣的事情你剛剛就看到了還是我要再播一次給你看?委員剛剛在講說這並不是內政部的發言也不是國土署的發言
transcript.whisperx[210].start 6785.305
transcript.whisperx[210].end 6786.706
transcript.whisperx[210].text 我本期希望的是說我們好好來推地方的建設
transcript.whisperx[211].start 6811.317
transcript.whisperx[211].end 6837.639
transcript.whisperx[211].text 好好為地方來做努力來打拼,不要用這種故意惡意抹黑污衊的手法來擋地方的建設,你到底提供未來綜合、未來的發展、未來的方向是什麼?所以是不是請部長來回答一下,是不是應該要尊重國會,這樣子抹黑造謠的情況是不是應該要杜絕,是不是請署長或部長,你們應該,我應該要請部長,因為署長是行政官員,可是部長你明明就知道說這種事情不應該發生啊,
transcript.whisperx[212].start 6838.74
transcript.whisperx[212].end 6844.004
transcript.whisperx[212].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[213].start 6865.523
transcript.whisperx[213].end 6875.167
transcript.whisperx[213].text 那你們內政部完全沒有找過輿情分析嗎?不是,委員你對象可能找錯人了。他說施壓的是你了,所以你也被施壓欸。
transcript.whisperx[214].start 6878.55
transcript.whisperx[214].end 6886.173
transcript.whisperx[214].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[215].start 6903.559
transcript.whisperx[215].end 6912.724
transcript.whisperx[215].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[216].start 6930.313
transcript.whisperx[216].end 6938.174
transcript.whisperx[216].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[217].start 6958.154
transcript.whisperx[217].end 6965.04
transcript.whisperx[217].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[218].start 6989.301
transcript.whisperx[218].end 6991.906
transcript.whisperx[218].text 我請您部長跟國土署長。來,請部長跟國土署長。部長。署長。
transcript.whisperx[219].start 7001.417
transcript.whisperx[219].end 7029.68
transcript.whisperx[219].text 那個我記得我在4月11號我質詢的時候有說像這個花蓮地震那有紅單黃單那雖然不是我們直接的責任但我們有督導的義務我們推薦市政府然後呢我那時候就說了那個餘震不斷那會不會再造成第二次的傷害那你看現在昨天的這樣子的話有好幾棟大樓又倒了
transcript.whisperx[220].start 7030.541
transcript.whisperx[220].end 7036.023
transcript.whisperx[220].text 所以我想先請問一下署長,像這種情況如果都是這樣,那我們都沒有辦法去處理嗎?
transcript.whisperx[221].start 7044.64
transcript.whisperx[221].end 7049.305
transcript.whisperx[221].text 二、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、
transcript.whisperx[222].start 7064.201
transcript.whisperx[222].end 7069.905
transcript.whisperx[222].text 凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[223].start 7094.163
transcript.whisperx[223].end 7104.989
transcript.whisperx[223].text 審查內政部函送國家住宅及都市更新中心1案。三、審查內政部函送國家住宅及都市更新中心1案。四、審查內政部函送國家住宅及都市更新中心1案。五、審查內政部函送國家住宅及都市更新中心1案。六、審查內政部函送國家住宅及都市更新中心1案。
transcript.whisperx[224].start 7118.738
transcript.whisperx[224].end 7124.363
transcript.whisperx[224].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[225].start 7140.518
transcript.whisperx[225].end 7152.711
transcript.whisperx[225].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。六、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[226].start 7160.8
transcript.whisperx[226].end 7167.39
transcript.whisperx[226].text 審查內政部主管預算凍結書面報告案計2案。三、審查內政部主管預算凍結書面報告案計2案。四、審查內政部主管預算凍結書面報告案計2案。三、審查內政部主管預算凍結書面報告案計2案。四、審查內政部主管預算凍結書面報告案計2案。
transcript.whisperx[227].start 7178.265
transcript.whisperx[227].end 7195.918
transcript.whisperx[227].text 那另外是剛剛委員在關心提到的就是因為地震它一發生的時候第一次那個7.2的時候其實它建築物就有可能已經受損了那它要評估之後才要能決定說可不可以補強那有一些可能是沒有辦法補強的
transcript.whisperx[228].start 7197.319
transcript.whisperx[228].end 7202.865
transcript.whisperx[228].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[229].start 7217.581
transcript.whisperx[229].end 7227.904
transcript.whisperx[229].text 當然縣政府有反映說現在因為比較缺工也缺機具那昨天院長也特別指示我們會積極的來協助當然也希望地方政府能夠加油
transcript.whisperx[230].start 7230.393
transcript.whisperx[230].end 7251.268
transcript.whisperx[230].text 我必須要說地方政府有沒有積極這是非常重要的事我那天就是說要求地方政府要積極我跟你講地方政府如何積極其實有很多的業者有很多的什麼我們都可以去拜託他然後請他們來幫趕快盡量去協助或開口合約趕快去做其實如果有做
transcript.whisperx[231].start 7252.048
transcript.whisperx[231].end 7257.131
transcript.whisperx[231].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[232].start 7272.699
transcript.whisperx[232].end 7274.78
transcript.whisperx[232].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[233].start 7295.825
transcript.whisperx[233].end 7318.671
transcript.whisperx[233].text 每個縣市首長的個性都不一樣啦那他反正就放在那裡也是放著有積極的也是積極我記得在921的時候臺北縣政府的時候馬上請所有的工會所有的什麼該做的做然後連瓷磚什麼的全部都用好我覺得這就積極度的問題我不知道部長你的看法如何
transcript.whisperx[234].start 7320.741
transcript.whisperx[234].end 7347.788
transcript.whisperx[234].text 當然其實地方政府他可以他如果有缺工或者是缺料或者缺技術人員的話當然他也可以主動比如說這個來邀集全國各縣市的這個相關的一個工會來協助甚至也可以跟鄰近的縣市直接來聯繫請求其實這在過去都有已經都行之有年也有相關的一個機制當然中央我們從一開始到現在都是積極的在幫忙
transcript.whisperx[235].start 7348.593
transcript.whisperx[235].end 7375.885
transcript.whisperx[235].text 對我部長你說的沒有錯齁我我現在說的就是說我們以前的機制都有在但那個機制啊是義務跟他自己啦縣市首長想那個也是責任對就其他的縣市是義務跟責任我去協調我是認為說是應該把它明確化如果你這個縣市首長你沒有做到什麼什麼我們應該要求他也有一個標準來啦
transcript.whisperx[236].start 7376.525
transcript.whisperx[236].end 7388.614
transcript.whisperx[236].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[237].start 7411.559
transcript.whisperx[237].end 7429.153
transcript.whisperx[237].text 今天我們討論這個國籍法的修法有兩個重點一個是第5條裡面針對特殊的專業人才兩年就可以申請規劃來為我們台灣爭取更好的人才我相信這個各黨各派其實都有提出版本我覺得這個沒有什麼問題因為大家的差別並不大
transcript.whisperx[238].start 7429.753
transcript.whisperx[238].end 7435.777
transcript.whisperx[238].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[239].start 7445.683
transcript.whisperx[239].end 7449.186
transcript.whisperx[239].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。六、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[240].start 7471.966
transcript.whisperx[240].end 7473.888
transcript.whisperx[240].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[241].start 7488.041
transcript.whisperx[241].end 7493.007
transcript.whisperx[241].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。六、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[242].start 7509.545
transcript.whisperx[242].end 7513.646
transcript.whisperx[242].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[243].start 7529.611
transcript.whisperx[243].end 7534.937
transcript.whisperx[243].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。六、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[244].start 7551.475
transcript.whisperx[244].end 7560.538
transcript.whisperx[244].text 審查內政部函送國家住宅及都市更新中心111案。三、審查內政部函送國家住宅及都市更新中心111案。四、審查內政部函送國家住宅及都市更新中心111案。五、審查內政部函送國家住宅及都市更新中心111案。六、審查內政部函送國家住宅及都市更新中心111案。
transcript.whisperx[245].start 7573.121
transcript.whisperx[245].end 7581.263
transcript.whisperx[245].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[246].start 7596.704
transcript.whisperx[246].end 7602.247
transcript.whisperx[246].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[247].start 7625.609
transcript.whisperx[247].end 7636.533
transcript.whisperx[247].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[248].start 7653.699
transcript.whisperx[248].end 7653.979
transcript.whisperx[248].text 規劃條件才存在。
transcript.whisperx[249].start 7675.318
transcript.whisperx[249].end 7689.398
transcript.whisperx[249].text 這是我的擔心啦當然我們也不會去惡意的說生母都會這樣想只是說當我們條件列在那邊的時候這樣的條件反而讓小孩更容易規劃委員我是不是請市長補充一下
transcript.whisperx[250].start 7693.661
transcript.whisperx[250].end 7709.272
transcript.whisperx[250].text 委員報告針對這種黑戶寶寶其實我們有一連串的那個認定的程序是首先要這個這一個人要是父不祥生母為外國人這個是第一個條件第二個要經過
transcript.whisperx[251].start 7711.107
transcript.whisperx[251].end 7733.259
transcript.whisperx[251].text 住外管處請國家諧巡3個月,或者是生母還在國內要經過移民署諧巡6個月都找不到了。這是第二階段。第三階段就是還要原屬國的國家不承認這個小孩子具有他的國籍,或者是他3個月都沒有回復的時候,地方政府才會把這種黑戶寶寶的個案報給我們來認定他為
transcript.whisperx[252].start 7737.902
transcript.whisperx[252].end 7740.584
transcript.whisperx[252].text 審查內政部主管預算凍結書面報告案計1案。三、審查內政部主管預算凍結書面報告案計1案。四、審查內政部主管預算凍結書面報告案計1案。五、審查內政部主管預算凍結書面報告案計1案。
transcript.whisperx[253].start 7754.956
transcript.whisperx[253].end 7764.744
transcript.whisperx[253].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[254].start 7782.612
transcript.whisperx[254].end 7784.753
transcript.whisperx[254].text 黃健兵委員質詢林部長
transcript.whisperx[255].start 7810.237
transcript.whisperx[255].end 7811.86
transcript.whisperx[255].text 部長您是都市計劃相關科系畢業的嗎?
transcript.whisperx[256].start 7822.225
transcript.whisperx[256].end 7829.627
transcript.whisperx[256].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[257].start 7849.904
transcript.whisperx[257].end 7854.785
transcript.whisperx[257].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。六、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[258].start 7875.618
transcript.whisperx[258].end 7894.215
transcript.whisperx[258].text 我們現在我們現在那個12萬戶第一期的部分在今年年底應該是可以達成而且甚至可以稍微有點超標那那未來的8年的時間我想因為過去需要一點摸索的這個還有累積經驗的一個過程
transcript.whisperx[259].start 7895.196
transcript.whisperx[259].end 7899.218
transcript.whisperx[259].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[260].start 7912.546
transcript.whisperx[260].end 7919.55
transcript.whisperx[260].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[261].start 7931.837
transcript.whisperx[261].end 7935.04
transcript.whisperx[261].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[262].start 7951.192
transcript.whisperx[262].end 7958.063
transcript.whisperx[262].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[263].start 7967.356
transcript.whisperx[263].end 7972.141
transcript.whisperx[263].text 中央政府總預算案有關內政部主管預算凍結書面報告案計3案。四、中央政府總預算案有關內政部主管預算凍結書面報告案計6案。五、中央政府總預算案有關內政部主管預算凍結書面報告案計6案。
transcript.whisperx[264].start 7988.376
transcript.whisperx[264].end 7990.12
transcript.whisperx[264].text 審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[265].start 7999.639
transcript.whisperx[265].end 8004.52
transcript.whisperx[265].text 報告提看到114年到119年的城鄉淨嶺綠生活及創生營造計畫,這個部分是在國土署?對,在國土署。署長,這個計畫是屬於競爭型的對不對?跟委員報告,當然現在有競爭型,當然也會有
transcript.whisperx[266].start 8022.945
transcript.whisperx[266].end 8033.135
transcript.whisperx[266].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[267].start 8042.763
transcript.whisperx[267].end 8049.248
transcript.whisperx[267].text 審查內政部主管預算凍結書面報告案計1案。三、審查內政部主管預算凍結書面報告案計1案。四、審查內政部主管預算凍結書面報告案計1案。
transcript.whisperx[268].start 8058.555
transcript.whisperx[268].end 8086.214
transcript.whisperx[268].text 讓我們重新整建整個核心區域還有周邊的公關公共空間來改善都市的生活機能讓提升我們居民的環境品質這樣是能夠是不是能夠有有有效的嚇阻我們人口往外跑是這樣不對嗎對不對沒錯那這樣跟我們的創生計畫是不是有相違配兩個其實概念是不一樣因為創生創生本來就是希望你原來在你原來的社區裡面
transcript.whisperx[269].start 8086.772
transcript.whisperx[269].end 8089.814
transcript.whisperx[269].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[270].start 8100.851
transcript.whisperx[270].end 8106.094
transcript.whisperx[270].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。六、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[271].start 8124.506
transcript.whisperx[271].end 8133.274
transcript.whisperx[271].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。六、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[272].start 8149.449
transcript.whisperx[272].end 8154.194
transcript.whisperx[272].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[273].start 8173.351
transcript.whisperx[273].end 8201.48
transcript.whisperx[273].text 所以我想這個部分我們都沒有停還會繼續本席會這樣問我最主要是真的很擔心因為台東縣相對資源就比較小如果在這樣的條件下跟其他縣競爭它也相對的弱勢那弱勢會越來越弱勢所以有署長這樣的承諾我也很放心也可以讓台東縣民知道說未來在競爭上中央絕對會來支持這個我們會跟國發會一起合作繼續把這一個部分把它推動下去
transcript.whisperx[274].start 8202.12
transcript.whisperx[274].end 8207.162
transcript.whisperx[274].text 審查內政部主管預算凍結書面報告案計1案。三、審查內政部主管預算凍結書面報告案計1案。四、審查內政部主管預算凍結書面報告案計1案。
transcript.whisperx[275].start 8222.861
transcript.whisperx[275].end 8247.771
transcript.whisperx[275].text 部長我剛本來想請花次留下來就是想要跟他討論一點點就是一個是租金的政策租金補貼的政策另外一個就是設宅的政策但我想起來在你任內推動的這個租金補貼其實是來質詢你是讓你來回應也是更有意義的請問你認為今年還要不要繼續做這個中央擴大租金補貼300億的這一項補貼
transcript.whisperx[276].start 8250.754
transcript.whisperx[276].end 8260.085
transcript.whisperx[276].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[277].start 8266.264
transcript.whisperx[277].end 8276.875
transcript.whisperx[277].text 你是說租屋租屋大概是87萬多將近90萬那來申請的有64萬戶那通過申請那核准的有45萬戶嗎那所以代表這個80萬戶裡面有15萬戶裡面沒有超過20萬戶他沒有來申請租屋補貼那有10萬戶他沒有通過我們的租屋補貼
transcript.whisperx[278].start 8290.788
transcript.whisperx[278].end 8301.677
transcript.whisperx[278].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[279].start 8310.953
transcript.whisperx[279].end 8337.019
transcript.whisperx[279].text 如果他去跟我們申請租屋補貼造成他的房東不高興把他趕出去不租房子給他了我們對於房東的相關的罰則我們還沒有出來那我也不敢去跟陳其仁保證說不會你放心你去申請你跟內政部申請你去申請你絕對不會被趕出去部長這個問題你有沒有想配套的配套的措施我們怎麼樣來繼續推動那怎麼樣
transcript.whisperx[280].start 8339.64
transcript.whisperx[280].end 8343.443
transcript.whisperx[280].text 讓所有租屋族真的都可以拿到租金補貼,真的趕來申請。
transcript.whisperx[281].start 8345.962
transcript.whisperx[281].end 8370.626
transcript.whisperx[281].text 委員兩個部分第一個是剛剛在講全國的租屋有87萬那現在其實這個比例已經很高了我們預計大概我們的覆蓋率應該是再提升一點我們大概80%是極致的因為不可能是100%所以現在的比例其實相對已經高所以剛剛在講我們本來是1.0現在變成2.0所以解決了部分的一個問題
transcript.whisperx[282].start 8374.847
transcript.whisperx[282].end 8382.314
transcript.whisperx[282].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[283].start 8398.137
transcript.whisperx[283].end 8416.606
transcript.whisperx[283].text 那剛剛在提到因為它涉及還是私權這個租賃它是一個民法之間的一個關係所以你剛剛提到那個強制人業部分的確我們也還在做一些思考那我請那個吳署長來做一個補充吳署長簡短
transcript.whisperx[284].start 8418.507
transcript.whisperx[284].end 8434.214
transcript.whisperx[284].text 好,謝謝委員,其實這一塊的確是這幾年來慢慢會一直累積這個問題,那我們其實也試著很多方法,那也跟委員報告,其實我們現在核定數已經到昨天已經衝破49萬戶,所以其實很快就大飆了。好,署長謝謝,來我們請那個移民署,署長,謝謝,好,署長,有
transcript.whisperx[285].start 8447.543
transcript.whisperx[285].end 8471.075
transcript.whisperx[285].text 有超過6萬甚至更多的非法居留的外籍移工那他們可能都在各地打工他們可能從事很多台灣人不願意去從事的行業那他們可能有很多原因他們已經超過時間然後沒有回到他們的國家去那這個是我們移民署這邊專情隊這邊會去執行的任務對不對是
transcript.whisperx[286].start 8475.287
transcript.whisperx[286].end 8488.577
transcript.whisperx[286].text 那現在大概有多少?我們的執行狀況大概怎樣?四年一共的部分,到今年的1月份大概累計有8萬5千多。
transcript.whisperx[287].start 8490.234
transcript.whisperx[287].end 8510.363
transcript.whisperx[287].text 來謝謝其實我們今天國籍法在討論這個黑戶寶寶其實有一部分我想來自這個失聯移工他們長期留在台灣他們長期在台灣打工生活他們生出來的寶寶沒有辦法報戶口因為一報那好可能就是
transcript.whisperx[288].start 8511.492
transcript.whisperx[288].end 8517.578
transcript.whisperx[288].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[289].start 8538.871
transcript.whisperx[289].end 8546.338
transcript.whisperx[289].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[290].start 8561.191
transcript.whisperx[290].end 8572.098
transcript.whisperx[290].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[291].start 8594.321
transcript.whisperx[291].end 8594.744
transcript.whisperx[291].text 請內政部林部長。
transcript.whisperx[292].start 8608.294
transcript.whisperx[292].end 8620.945
transcript.whisperx[292].text 4月23日凌晨花蓮又發生兩起6.0規模地震,導致原本就已經受損的統帥及富凱大飯店更為傾斜。請問部長,最近餘震頻傳,內政部是不是有再繼續勘查受災的狀況?目前最新的紅單有幾件,黃單有幾件?我們持續都在進行當中,目前
transcript.whisperx[293].start 8634.553
transcript.whisperx[293].end 8640.777
transcript.whisperx[293].text 我們通報危險件物的總件數是2019件那以派案評估是1996件張天宏單是累計是76件另外黃單的部分是148件
transcript.whisperx[294].start 8650.188
transcript.whisperx[294].end 8656.912
transcript.whisperx[294].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[295].start 8680.246
transcript.whisperx[295].end 8686.092
transcript.whisperx[295].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[296].start 8698.464
transcript.whisperx[296].end 8708.811
transcript.whisperx[296].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[297].start 8719.258
transcript.whisperx[297].end 8727.803
transcript.whisperx[297].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。六、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[298].start 8748.095
transcript.whisperx[298].end 8754.377
transcript.whisperx[298].text 審查內政部主管預算案有關內政部主管預算案有關內政部主管預算案有關內政部主管預算案有關內政部主管預算案有關內政部主管預算案有關內政部主管預算案有關內政部主管預算案有關內政部主管預算案有關內政部主管預算案有關內政部主管預算案有關內政部主管預算案
transcript.whisperx[299].start 8775.222
transcript.whisperx[299].end 8786.29
transcript.whisperx[299].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[300].start 8802.328
transcript.whisperx[300].end 8830.635
transcript.whisperx[300].text 講的就是要繼續推動數位身份證確保各系統的建制跟管理以及專案的履行如期如質的舉行落實治安規範還需投入更多的資源所以希望爭取更多的經費請問部長數位身份證的政策已經跟廠商進行仲裁和解未來要如何繼續推動還有數位身份證的管理專法何時可以送到立法院審查
transcript.whisperx[301].start 8831.255
transcript.whisperx[301].end 8840.199
transcript.whisperx[301].text 審查內政部主管預算凍結書面報告案計2案。三、審查內政部主管預算凍結書面報告案計2案。四、審查內政部主管預算凍結書面報告案計2案。三、審查內政部主管預算凍結書面報告案計2案。四、審查內政部主管預算凍結書面報告案計2案。四、審查內政部主管預算凍結書面報告案計2案。四、審查內政部主管預算凍結書面報告案計2案。
transcript.whisperx[302].start 8856.769
transcript.whisperx[302].end 8858.031
transcript.whisperx[302].text 審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[303].start 8863.345
transcript.whisperx[303].end 8872.628
transcript.whisperx[303].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[304].start 8891.935
transcript.whisperx[304].end 8897.479
transcript.whisperx[304].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[305].start 8913.01
transcript.whisperx[305].end 8925.594
transcript.whisperx[305].text 審查內政部函送國家住宅及都市更新中心1案。三、審查內政部函送國家住宅及都市更新中心1案。四、審查內政部函送國家住宅及都市更新中心1案。三、審查內政部函送國家住宅及都市更新中心1案。四、審查內政部函送國家住宅及都市更新中心1案。五、審查內政部函送國家住宅及都市更新中心1案。六、審查內政部函送國家住宅及都市更新中心1案。七、審查內政部函送國家住宅及都市更新中心1案。八、審查內政部函送國家住宅及都市更新中心1案。
transcript.whisperx[306].start 8941.3
transcript.whisperx[306].end 8945.162
transcript.whisperx[306].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。六、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[307].start 8966.545
transcript.whisperx[307].end 8982.757
transcript.whisperx[307].text 是,跟委員報告一下,那個經費的部分,這個實際上我們支出的經費是10.85億,這個非常的清楚,可以會後再跟委員做詳細的一個說明。所以說審計部估算的是錯的就對了,是嗎?
transcript.whisperx[308].start 8984.738
transcript.whisperx[308].end 9002.727
transcript.whisperx[308].text 我相信審計不會,不過我們明確的數字非常的清楚是10.85億,這個會後再跟委員報告。那委員提到的這個機器設備能不能使用,機器是可以的,但是它那個晶片的部分,因為我們可能還要另外採購。
transcript.whisperx[309].start 9004.206
transcript.whisperx[309].end 9006.368
transcript.whisperx[309].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[310].start 9035.069
transcript.whisperx[310].end 9039.151
transcript.whisperx[310].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[311].start 9051.562
transcript.whisperx[311].end 9066.426
transcript.whisperx[311].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管
transcript.whisperx[312].start 9076.328
transcript.whisperx[312].end 9084.615
transcript.whisperx[312].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[313].start 9094.864
transcript.whisperx[313].end 9100.447
transcript.whisperx[313].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[314].start 9112.142
transcript.whisperx[314].end 9118.504
transcript.whisperx[314].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[315].start 9145.481
transcript.whisperx[315].end 9146.341
transcript.whisperx[315].text 請書面回覆,請你務必書面回覆。
transcript.whisperx[316].start 9170.627
transcript.whisperx[316].end 9194.8
transcript.whisperx[316].text 委員,因為這是屬於地方基層警察在執勤的狀況,你是不是可以方便把相關資料提供給我們?可以可以,沒問題。接著我們還要針對源頭,其實會有這樣的噪音,不管是轎車或機車,它是不是就是改裝的機車或者是轎車的修理廠?
transcript.whisperx[317].start 9195.72
transcript.whisperx[317].end 9199.704
transcript.whisperx[317].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[318].start 9214.821
transcript.whisperx[318].end 9221.028
transcript.whisperx[318].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[319].start 9237.486
transcript.whisperx[319].end 9253.826
transcript.whisperx[319].text 審查內政部函送國家住宅及都市更新中心1案。三、審查內政部函送國家住宅及都市更新中心1案。四、審查內政部函送國家住宅及都市更新中心1案。五、審查內政部函送國家住宅及都市更新中心1案。六、審查內政部函送國家住宅及都市更新中心1案。
transcript.whisperx[320].start 9254.907
transcript.whisperx[320].end 9262.39
transcript.whisperx[320].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[321].start 9281.737
transcript.whisperx[321].end 9308.114
transcript.whisperx[321].text 你持續收集各界意見這個是符合原來提案凍結的目的嗎?沒有。接著新式身份證後續推動工作將由個人資料保護委員會進行政策、治安以及法治方面的意見整合。這個很有趣你個人資料保護委員會根本都還沒有存在可能還在籌備的單位你就直接回覆解凍報告說你會
transcript.whisperx[322].start 9310.123
transcript.whisperx[322].end 9317.988
transcript.whisperx[322].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[323].start 9334.966
transcript.whisperx[323].end 9349.298
transcript.whisperx[323].text 審查內政部函送國家住宅及都市更新中心111案。三、審查內政部函送國家住宅及都市更新中心111案。四、審查內政部函送國家住宅及都市更新中心111案。五、審查內政部函送國家住宅及都市更新中心111案。六、審查內政部函送國家住宅及都市更新中心111案。
transcript.whisperx[324].start 9351.067
transcript.whisperx[324].end 9377.722
transcript.whisperx[324].text 凍結的理由也就第10屆的委員就說你應該由專業人員辦理來減少公帑支出結果解凍報告就說如果凍結就無法順利委外辦理那你這不就是打臉直接打臉提案委員你這樣打臉提案委員你還希望解凍所以這是第二個再來還有還有更好笑的
transcript.whisperx[325].start 9378.973
transcript.whisperx[325].end 9393.256
transcript.whisperx[325].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[326].start 9409.039
transcript.whisperx[326].end 9426.091
transcript.whisperx[326].text 解凍報告就說凍結這100萬我會沒有預算可供之應其實像這類的部長像這些言過其實不然敷衍了事不然答非所問的那我們真的能夠幫你解凍嗎你自己個人的意見委員是不是容許我們簡單跟你做說明一下好不好
transcript.whisperx[327].start 9432.393
transcript.whisperx[327].end 9437.458
transcript.whisperx[327].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[328].start 9456.394
transcript.whisperx[328].end 9460.621
transcript.whisperx[328].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[329].start 9468.141
transcript.whisperx[329].end 9476.005
transcript.whisperx[329].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[330].start 9496.275
transcript.whisperx[330].end 9497.937
transcript.whisperx[330].text 維老重建一直是台灣建築老化的重要策略。
transcript.whisperx[331].start 9514.432
transcript.whisperx[331].end 9528.72
transcript.whisperx[331].text 審查內政部函送國家住宅及都市更新中心113年度預算凍結書面報告案計1案。三、審查內政部函送國家住宅及都市更新中心113年度預算凍結書面報告案計1案。四、審查內政部函送國家住宅及都市更新中心113年度預算凍結書面報告案計1案。三、審查內政部函送國家住宅及都市更新中心118案。四、審查內政部函送國家住宅及都市更新中心118案。
transcript.whisperx[332].start 9531.101
transcript.whisperx[332].end 9548.464
transcript.whisperx[332].text 審查113年度中央政府總預算凍結書面報告案計1案。三、審查113年度中央政府總預算凍結書面報告案計1案。四、審查113年度中央政府總預算凍結書面報告案計1案。三、審查113年度中央政府總預算凍結書面報告案計1案。四、審查113年度中央政府總預算凍結書面報告案計1案。四、審查113年度中央政府總預算凍結書面報告案計1案。四、審查113年度中央政府總預算凍結書面報告案計1案。四、審查113年度中央政府總預算凍結書面報告案計1案。
transcript.whisperx[333].start 9549.005
transcript.whisperx[333].end 9560.572
transcript.whisperx[333].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[334].start 9578.254
transcript.whisperx[334].end 9600.568
transcript.whisperx[334].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[335].start 9608.683
transcript.whisperx[335].end 9615.226
transcript.whisperx[335].text 審查內政部主管預算凍結書面報告案計1案。三、審查內政部主管預算凍結書面報告案計1案。四、審查內政部主管預算凍結書面報告案計1案。
transcript.whisperx[336].start 9623.507
transcript.whisperx[336].end 9625.008
transcript.whisperx[336].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[337].start 9640.134
transcript.whisperx[337].end 9645.779
transcript.whisperx[337].text 審查內政部主管預算凍結書面報告案計2案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[338].start 9664.161
transcript.whisperx[338].end 9669.451
transcript.whisperx[338].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[339].start 9676.503
transcript.whisperx[339].end 9683.927
transcript.whisperx[339].text 審查內政部主管預算凍結書面報告案計2案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。六、審查內政部主管預算凍結書面報告案計6案。七、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[340].start 9703.757
transcript.whisperx[340].end 9709.422
transcript.whisperx[340].text 審查內政部主管預算凍結書面報告案計1案。三、審查內政部主管預算凍結書面報告案計1案。四、審查內政部主管預算凍結書面報告案計1案。五、審查內政部主管預算凍結書面報告案計1案。六、審查內政部主管預算凍結書面報告案計1案。
transcript.whisperx[341].start 9726.889
transcript.whisperx[341].end 9731.971
transcript.whisperx[341].text 內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[342].start 9756.758
transcript.whisperx[342].end 9765.885
transcript.whisperx[342].text 審查內政部主管預算凍結書面報告案計2案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。六、審查內政部主管預算凍結書面報告案計6案。七、審查內政部主管預算凍結書面報告案計6案。八、審查內政部主管預算凍結書面報告案計6案。九、審查內政部主管預算凍結書面報告案計6案。十、審查內政部主管預算凍結書面報告案計6案。十、審查內政部主管
transcript.whisperx[343].start 9785.279
transcript.whisperx[343].end 9794.402
transcript.whisperx[343].text 審查內政部主管預算凍結書面報告案計1案。三、審查內政部主管預算凍結書面報告案計1案。四、審查內政部主管預算凍結書面報告案計1案。三、審查內政部主管預算凍結書面報告案計1案。四、審查內政部主管預算凍結書面報告案計1案。四、審查內政部主管預算凍結書面報告案計1案。四、審查內政部主管預算凍結書面報告案計1案。四、審查內政部主管預算凍結書面報告案計1案。
transcript.whisperx[344].start 9812.509
transcript.whisperx[344].end 9824.659
transcript.whisperx[344].text 審查內政部主管預算凍結書面報告案計1案。三、審查內政部主管預算凍結書面報告案計1案。四、審查內政部主管預算凍結書面報告案計1案。五、審查內政部主管預算凍結書面報告案計1案。六、審查內政部主管預算凍結書面報告案計1案。七、審查內政部主管預算凍結書面報告案計1案。
transcript.whisperx[345].start 9838.73
transcript.whisperx[345].end 9849.638
transcript.whisperx[345].text 審查內政部主管預算凍結書面報告案計1案。三、審查內政部主管預算凍結書面報告案計1案。四、審查內政部主管預算凍結書面報告案計1案。三、審查內政部主管預算凍結書面報告案計1案。四、審查內政部主管預算凍結書面報告案計1案。四、審查內政部主管預算凍結書面報告案計1案。四、審查內政部主管預算凍結書面報告案計1案。四、審查內政部主管預算凍結書面報告案計1案。
transcript.whisperx[346].start 9867.751
transcript.whisperx[346].end 9874.677
transcript.whisperx[346].text 函送國家住宅及都市更新中心111案。三、審查內政部主管預算凍結書面報告案計1案。四、審查內政部主管預算凍結書面報告案計1案。三、審查內政部主管預算凍結書面報告案計1案。四、審查內政部主管預算凍結書面報告案計1案。四、審查內政部主管預算凍結書面報告案計1案。四、審查內政部主管預算凍結書面報告案計1案。四、審查內政部主管預算凍結書面報告案計1案。四、審查內政部主管預算凍結書面報告案計1案。
transcript.whisperx[347].start 9894.452
transcript.whisperx[347].end 9900.216
transcript.whisperx[347].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。六、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[348].start 9921.107
transcript.whisperx[348].end 9929.031
transcript.whisperx[348].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[349].start 9942.819
transcript.whisperx[349].end 9948.422
transcript.whisperx[349].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[350].start 9970.393
transcript.whisperx[350].end 9976.476
transcript.whisperx[350].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[351].start 10000.228
transcript.whisperx[351].end 10003.13
transcript.whisperx[351].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[352].start 10030.388
transcript.whisperx[352].end 10043.916
transcript.whisperx[352].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[353].start 10061.667
transcript.whisperx[353].end 10063.112
transcript.whisperx[353].text 審查內政部函送國家住宅
transcript.whisperx[354].start 10068.375
transcript.whisperx[354].end 10092.587
transcript.whisperx[354].text 去年三度通過的平均地權條例主要是為了實現居住正義的價值因此裡面有非常多的規範其中有個部分會打擊炒房內政部曾經公開宣示過房子是拿來住的不是拿來投資的也不是拿來炒作的所以我們才推動平均地權條例杜絕炒作的行為
transcript.whisperx[355].start 10094.045
transcript.whisperx[355].end 10117.591
transcript.whisperx[355].text 在這整個規範的架構下面我們說司法人司法人他沒有住宅的需求他沒有住的需求所以平均地權條例79條之一要求什麼他說司法人買賣住宅的時候要檢據使用計劃要中央主管機關許可這個所講的中央主管機關我想應該是內政部沒有問題好
transcript.whisperx[356].start 10119.336
transcript.whisperx[356].end 10134.924
transcript.whisperx[356].text 內政部在《平定定義條例》下面的授權針對司法人買賣住宅的許可定定了一個辦法定定了這個法規命令把司法人可以去買住宅的情況限制為6款的狀況但是6款的狀況
transcript.whisperx[357].start 10138.277
transcript.whisperx[357].end 10159.006
transcript.whisperx[357].text 必須要經過內政部審核通過以後才能購買。部長到目前為止我對於法規的說明應該都沒有錯誤吧?是嗎?好。那但是呢我去一步啊因為法律通過規通過我們要看實際上面實踐的效果嘛那我去調查資料以後我赫然發現竟然
transcript.whisperx[358].start 10161.806
transcript.whisperx[358].end 10185.764
transcript.whisperx[358].text 有一堆公司用宿舍當作名義當初我們在許可辦法裡面訂宿舍是說司法人去買了住宅然後提供員工宿舍使用但我看裡面一堆投資公司我看員工的人數我嚇一跳員工人數只有一個人
transcript.whisperx[359].start 10186.877
transcript.whisperx[359].end 10211.037
transcript.whisperx[359].text 一個人的員工人數要去買住宅那是一人公司然後去買住宅然後老闆提供給老闆自己當宿舍用嗎怎麼會有這麼荒謬的情況那進一步去看他買什麼宿舍我的老天啊這些公司真是太有佛心了他買的宿舍全部都是豪宅耶以平安環語來講他買的是3.2億90坪
transcript.whisperx[360].start 10217.174
transcript.whisperx[360].end 10229.667
transcript.whisperx[360].text 以續倉新企業有限公司來講,他買的是多少?6.4億!6.4億的文華宴!我看了這個通過的狀況以後,我真的嚇壞了!部長!我們看具體的例子就好了!台北市前十大豪宅,西華富邦,
transcript.whisperx[361].start 10240.236
transcript.whisperx[361].end 10253.431
transcript.whisperx[361].text 公司只有一個人然後他要買2.3億的宿舍給那個人住這個是我們當初平均地權條例修法讓主管機關審核的修法意旨嗎來請部長
transcript.whisperx[362].start 10257.029
transcript.whisperx[362].end 10267.017
transcript.whisperx[362].text 二、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。六、審查內政部主管預算凍結書面報告案計6案。七、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[363].start 10282.83
transcript.whisperx[363].end 10307.193
transcript.whisperx[363].text 第一個層次內政部要把關司法人什麼時候可以買要內政部核准嗎核准了以後5年之內不能傳送那是第二個層次的問題嘛請您不要把兩個層次的問題混在一起談我是在請教的是第一個層次的問題內政部怎麼准的我今天聽部長這樣講我很肯定啊你說不應該嘛那不應該是怎麼准的啊
transcript.whisperx[364].start 10308.906
transcript.whisperx[364].end 10323.747
transcript.whisperx[364].text 我想這個是應該是我們地政司在這法剛通過的初期的時候那現在他們也已經在修改這個辦法這個已經不允許了你不用去修改辦法你回去看啊這個是哪門子宿舍啊
transcript.whisperx[365].start 10324.708
transcript.whisperx[365].end 10338.846
transcript.whisperx[365].text 用道理說服我阿用道理說服台灣社會阿用道理說服關心居住正義的人阿這是哪門子敘事阿一人公司買2.3億的豪宅一個人住這樣內政部也准部長會不會太扯阿
transcript.whisperx[366].start 10342.635
transcript.whisperx[366].end 10356.683
transcript.whisperx[366].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[367].start 10370.467
transcript.whisperx[367].end 10394.489
transcript.whisperx[367].text 還不是只有這一個下面這個更誇張下面這個是文華院5.6億5.6億的文華院買來住六人宿舍我一去查哪家公司福利這麼好我要趕快去丟履歷表可以住5.6億的文華院式宿舍結果一查是台灣的巨富陳泰銘
transcript.whisperx[368].start 10395.968
transcript.whisperx[368].end 10410.2
transcript.whisperx[368].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[369].start 10425.885
transcript.whisperx[369].end 10448.824
transcript.whisperx[369].text 部長,這件事情要不要檢討?呃,我想這個當然要檢討。好!需要多久?呃,現在已經,呃,剛剛在講的是,呃,我們地政室在修許可辦法,不過,呃,委員,我跟你報告,這個事情,呃,我想這個是不容許的,因為這個是在鑽漏洞。部長,這已經容許了,這不是不容許,已經容許了,已經被容許了。這種事情,這個事情不應該發生。對!
transcript.whisperx[370].start 10450.632
transcript.whisperx[370].end 10470.843
transcript.whisperx[370].text 所以我就說嘛你們當初法規怎麼解釋適用的部長說要檢討時間到了我尊重其他委員後面的質詢但分兩個部分一個當初怎麼准的符不符合當初你們定辦法的意旨這是一個層次的問題嘛第二個未來辦法要怎麼修這是第二個層次的問題嘛這兩個層次的問題請內政部提出書面的檢討報告部長需要多久
transcript.whisperx[371].start 10477.861
transcript.whisperx[371].end 10487.288
transcript.whisperx[371].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[372].start 10507.302
transcript.whisperx[372].end 10516.209
transcript.whisperx[372].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。六、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[373].start 10533.497
transcript.whisperx[373].end 10537.843
transcript.whisperx[373].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[374].start 10550.439
transcript.whisperx[374].end 10555.744
transcript.whisperx[374].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[375].start 10571.67
transcript.whisperx[375].end 10583.876
transcript.whisperx[375].text 審查內政部主管預算凍結書面報告案計2案。三、審查內政部主管預算凍結書面報告案計3案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。六、審查內政部主管預算凍結書面報告案計6案。七、審查內政部主管預算凍結書面報告案計6案。八、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[376].start 10596.181
transcript.whisperx[376].end 10600.604
transcript.whisperx[376].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[377].start 10626.364
transcript.whisperx[377].end 10636.568
transcript.whisperx[377].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[378].start 10653.294
transcript.whisperx[378].end 10670.486
transcript.whisperx[378].text 這個輕軌整合會不會影響到區徵範圍底價地比例的相關核定時程?他有可能會影響不過為什麼要影響到區段徵收範圍跟比例的時程呢?因為這關乎整個社址島未來的發展區段徵收的範圍嗎?底價地的比例嗎?跟輕軌有什麼關係呢?會的因為機場設在社址島
transcript.whisperx[379].start 10676.55
transcript.whisperx[379].end 10684.492
transcript.whisperx[379].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[380].start 10698.436
transcript.whisperx[380].end 10704.238
transcript.whisperx[380].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[381].start 10717.543
transcript.whisperx[381].end 10722.685
transcript.whisperx[381].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[382].start 10739.571
transcript.whisperx[382].end 10754.341
transcript.whisperx[382].text 部長我了解你的用心希望能夠把機場拿出去讓大家更多的空地來做公共設施但是這些東西我只有一個簡單的要求它不應該影響內政部在所謂的區段徵收計畫開發範圍跟底價比例影響到整個測試島的開發時程
transcript.whisperx[383].start 10760.365
transcript.whisperx[383].end 10768.787
transcript.whisperx[383].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[384].start 10777.79
transcript.whisperx[384].end 10785.396
transcript.whisperx[384].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[385].start 10804.432
transcript.whisperx[385].end 10808.433
transcript.whisperx[385].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。六、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[386].start 10833.322
transcript.whisperx[386].end 10841.266
transcript.whisperx[386].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。六、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[387].start 10861.989
transcript.whisperx[387].end 10887.334
transcript.whisperx[387].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管
transcript.whisperx[388].start 10892.722
transcript.whisperx[388].end 10911.833
transcript.whisperx[388].text 審查內政部函送國家住宅及都市更新中心113年度中央政府總預算凍結書面報告案計1案。三、審查內政部函送國家住宅及都市更新中心113年度中央政府總預算凍結書面報告案計1案。四、審查內政部函送國家住宅及都市更新中心113年度中央政府總預算凍結書面報告案。五、審查內政部函送國家住宅及都市更新中心113年度中央政府總預算凍結書面報告案。六、審查內政部函送國家住宅及都市更新中心113年度中央政府總預算凍結書面報告案。
transcript.whisperx[389].start 10920.08
transcript.whisperx[389].end 10928.986
transcript.whisperx[389].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。六、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[390].start 10945.247
transcript.whisperx[390].end 10963.89
transcript.whisperx[390].text 審查內政部函送國家住宅及都市更新中心113年度中央政府總預算凍結書面報告案計1案。三、審查內政部函送國家住宅及都市更新中心113年度中央政府總預算凍結書面報告案計1案。四、審查內政部函送國家住宅及都市更新中心113年度中央政府總預算凍結書面報告案計1案。
transcript.whisperx[391].start 10966.294
transcript.whisperx[391].end 10973.12
transcript.whisperx[391].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。六、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[392].start 10994.232
transcript.whisperx[392].end 11021.345
transcript.whisperx[392].text 請本部依非都市土地使用管制規則第30條之一第一項第一款規定會商中央目的事業主管機關認定文化機會所系由政府新辦之公共設施。要去認定它是不是公共設施。後來內政營建署當時的營建署就發文給延明會請延明會是不是延明會
transcript.whisperx[393].start 11022.726
transcript.whisperx[393].end 11047.027
transcript.whisperx[393].text 發函說去年的8月15號阿拉巴萬部落5號集會所新辦事業計劃屬政府新辦之公共設施。過去因為沒有經費,現在有經費了,就是花東基金。好不容易有花東基金,它確實是因為用地的企的一直延旦。你看去年到現在你看,
transcript.whisperx[394].start 11049.546
transcript.whisperx[394].end 11076.304
transcript.whisperx[394].text 內政部函送國家住宅及都市更新中心113年度中央政府總預算凍結書面報告案計6案。三、審查內政部函送國家住宅及都市更新中心113年度中心113年度中心113年度中心113年度中心113年度中心113年度中心113年度中心113年度中心113年度中心113年度中心113年度中心113年度中心113年度中心113年度中心113年度中心113年度中心113年度中心113年度中心113年度中心113年度中心113年度中心113年度中心113年度
transcript.whisperx[395].start 11080.202
transcript.whisperx[395].end 11090.328
transcript.whisperx[395].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[396].start 11108.188
transcript.whisperx[396].end 11122.245
transcript.whisperx[396].text 審查內政部主管預算凍結書面報告案計2案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。六、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[397].start 11124.623
transcript.whisperx[397].end 11145.379
transcript.whisperx[397].text 國土功能分析圖資日期7億計劃法不再適用。所以現在目前還在適用7億計劃法。所以這個部分是不是可以...感謝委員啦其實這個部分第一個是當然是一個提醒啦第二個就是說因為這個案子比較特別因為它在它是屬於這個林業用地所以它當然還要經過跟
transcript.whisperx[398].start 11146.42
transcript.whisperx[398].end 11157.509
transcript.whisperx[398].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[399].start 11172.031
transcript.whisperx[399].end 11176.978
transcript.whisperx[399].text 就依現行的7計劃法及非都市土地使用管制規則來辦理。
transcript.whisperx[400].start 11188.738
transcript.whisperx[400].end 11195.92
transcript.whisperx[400].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[401].start 11215.762
transcript.whisperx[401].end 11225.428
transcript.whisperx[401].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[402].start 11231.786
transcript.whisperx[402].end 11231.906
transcript.whisperx[402].text 二、審查
transcript.whisperx[403].start 11255.267
transcript.whisperx[403].end 11261.292
transcript.whisperx[403].text 審查內政部主管預算凍結書面報告案計1案。三、審查內政部主管預算凍結書面報告案計1案。四、審查內政部主管預算凍結書面報告案計1案。
transcript.whisperx[404].start 11285.971
transcript.whisperx[404].end 11288.974
transcript.whisperx[404].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[405].start 11298.376
transcript.whisperx[405].end 11302.777
transcript.whisperx[405].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[406].start 11321.903
transcript.whisperx[406].end 11327.949
transcript.whisperx[406].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。六、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[407].start 11345.447
transcript.whisperx[407].end 11353.61
transcript.whisperx[407].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管
transcript.whisperx[408].start 11374.258
transcript.whisperx[408].end 11382.463
transcript.whisperx[408].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管
transcript.whisperx[409].start 11402.836
transcript.whisperx[409].end 11413.323
transcript.whisperx[409].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[410].start 11432.697
transcript.whisperx[410].end 11440.62
transcript.whisperx[410].text 審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[411].start 11449.804
transcript.whisperx[411].end 11452.786
transcript.whisperx[411].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[412].start 11465.473
transcript.whisperx[412].end 11470.659
transcript.whisperx[412].text 審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。六、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[413].start 11487.617
transcript.whisperx[413].end 11493.702
transcript.whisperx[413].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[414].start 11510.014
transcript.whisperx[414].end 11514.357
transcript.whisperx[414].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[415].start 11536.488
transcript.whisperx[415].end 11548.294
transcript.whisperx[415].text 審查內政部函送國家住宅及都市更新中心1案。三、審查內政部函送國家住宅及都市更新中心1案。四、審查內政部函送國家住宅及都市更新中心1案。三、審查內政部函送國家住宅及都市更新中心1案。四、審查內政部函送國家住宅及都市更新中心1案。
transcript.whisperx[416].start 11566.736
transcript.whisperx[416].end 11584.582
transcript.whisperx[416].text 委員跟你報告其實我們本來就有相關機制來處理我們本來大概這樣子的額少大概有3612人那目前已經有2084人已經協助處理完然後出境所以他是有一個是出境那我想請教的是這些要留在台灣的呢
transcript.whisperx[417].start 11585.322
transcript.whisperx[417].end 11589.065
transcript.whisperx[417].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[418].start 11605.157
transcript.whisperx[418].end 11613.445
transcript.whisperx[418].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[419].start 11631.317
transcript.whisperx[419].end 11636.799
transcript.whisperx[419].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[420].start 11657.085
transcript.whisperx[420].end 11676.413
transcript.whisperx[420].text 審查內政部主管預算凍結書面報告案計2案。三、審查內政部主管預算凍結書面報告案計3案。四、審查內政部主管預算凍結書面報告案計2案。三、審查內政部主管預算凍結書面報告案計2案。四、審查內政部主管預算凍結書面報告案計2案。四、審查內政部主管預算凍結書面報告案計2案。四、審查內政部主管預算凍結書面報告案計2案。四、審查內政部主管預算凍結書面報告案計2案。四、審查內政部主管預算凍結書面報告案計2案。四、審查內政部主管
transcript.whisperx[421].start 11680.234
transcript.whisperx[421].end 11697.298
transcript.whisperx[421].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[422].start 11707.947
transcript.whisperx[422].end 11713.608
transcript.whisperx[422].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[423].start 11737.734
transcript.whisperx[423].end 11739.715
transcript.whisperx[423].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[424].start 11757.859
transcript.whisperx[424].end 11765.325
transcript.whisperx[424].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[425].start 11785.121
transcript.whisperx[425].end 11791.067
transcript.whisperx[425].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。六、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[426].start 11805.16
transcript.whisperx[426].end 11816.982
transcript.whisperx[426].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[427].start 11834.485
transcript.whisperx[427].end 11839.427
transcript.whisperx[427].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[428].start 11855.041
transcript.whisperx[428].end 11868.833
transcript.whisperx[428].text 審查內政部主管預算凍結書面報告案計2案。三、審查內政部主管預算凍結書面報告案計2案。四、審查內政部主管預算凍結書面報告案計2案。五、審查內政部主管預算凍結書面報告案計2案。
transcript.whisperx[429].start 11870.714
transcript.whisperx[429].end 11898.753
transcript.whisperx[429].text 審查內政部主管預算凍結書面報告案計1案。三、審查內政部主管預算凍結書面報告案計1案。四、審查內政部主管預算凍結書面報告案計1案。五、審查內政部主管預算凍結書面報告案計1案。六、審查內政部主管預算凍結書面報告案計1案。
transcript.whisperx[430].start 11900.975
transcript.whisperx[430].end 11925.572
transcript.whisperx[430].text 審查內政部主管預算凍結書面報告案計2案。三、審查內政部主管預算凍結書面報告案計2案。四、審查內政部主管預算凍結書面報告案計2案。三、審查內政部主管預算凍結書面報告案計2案。四、審查內政部主管預算凍結書面報告案計2案。五、審查內政部主管預算凍結書面報告案計2案。六、審查內政部主管預算凍結書面報告案計2案。
transcript.whisperx[431].start 11928.49
transcript.whisperx[431].end 11953.497
transcript.whisperx[431].text 審查內政部主管預算凍結書面報告案計2案。三、審查內政部主管預算凍結書面報告案計2案。四、審查內政部主管預算凍結書面報告案計2案。五、審查內政部主管預算凍結書面報告案計2案。六、審查內政部主管預算凍結書面報告案計2案。七、審查內政部主管預算凍結書面報告案計2案。
transcript.whisperx[432].start 11961.37
transcript.whisperx[432].end 11965.488
transcript.whisperx[432].text 審查內政部主管預算凍結書面報告案計2案。三、審查內政部主管預算凍結書面報告案計2案。
transcript.whisperx[433].start 11970.794
transcript.whisperx[433].end 11995.916
transcript.whisperx[433].text 審查內政部主管預算凍結書面報告案計2案。三、審查內政部主管預算凍結書面報告案計2案。四、審查內政部主管預算凍結書面報告案計2案。五、審查內政部主管預算凍結書面報告案計2案。六、審查內政部主管預算凍結書面報告案計2案。七、審查內政部主管預算凍結書面報告案計2案。
transcript.whisperx[434].start 11997.958
transcript.whisperx[434].end 12014.995
transcript.whisperx[434].text 審查內政部主管預算凍結書面報告案計2案。三、審查內政部主管預算凍結書面報告案計2案。四、審查內政部主管預算凍結書面報告案計2案。五、審查內政部主管預算凍結書面報告案計2案。
transcript.whisperx[435].start 12021.097
transcript.whisperx[435].end 12038.09
transcript.whisperx[435].text 審查內政部主管預算凍結書面報告案計2案。三、審查內政部主管預算凍結書面報告案計2案。四、審查內政部主管預算凍結書面報告案計2案。五、審查內政部主管預算凍結書面報告案計2案。六、審查內政部主管預算凍結書面報告案計2案。
transcript.whisperx[436].start 12040.932
transcript.whisperx[436].end 12056.827
transcript.whisperx[436].text 審查內政部主管預算凍結書面報告案計2案。三、審查內政部主管預算凍結書面報告案計2案。四、審查內政部主管預算凍結書面報告案計2案。五、審查內政部主管預算凍結書面報告案計2案。
transcript.whisperx[437].start 12059.048
transcript.whisperx[437].end 12081.635
transcript.whisperx[437].text 審查內政部主管預算凍結書面報告案計2案。三、審查內政部主管預算凍結書面報告案計2案。四、審查內政部主管預算凍結書面報告案計2案。五、審查內政部主管預算凍結書面報告案計2案。六、審查內政部主管預算凍結書面報告案計2案。
transcript.whisperx[438].start 12093.723
transcript.whisperx[438].end 12113.313
transcript.whisperx[438].text 審查內政部主管預算凍結書面報告案計2案。三、審查內政部主管預算凍結書面報告案計2案。四、審查內政部主管預算凍結書面報告案計2案。三、審查內政部主管預算凍結書面報告案計2案。四、審查內政部主管預算凍結書面報告案計2案。
transcript.whisperx[439].start 12119.94
transcript.whisperx[439].end 12126.851
transcript.whisperx[439].text 審查內政部主管預算凍結書面報告案計2案。三、審查內政部主管預算凍結書面報告案計2案。四、審查內政部主管預算凍結書面報告案計2案。
transcript.whisperx[440].start 12142.524
transcript.whisperx[440].end 12166.416
transcript.whisperx[440].text 審查內政部主管預算凍結書面報告案計2案。三、審查內政部主管預算凍結書面報告案計2案。四、審查內政部主管預算凍結書面報告案計2案。五、審查內政部主管預算凍結書面報告案計2案。六、審查內政部主管預算凍結書面報告案計2案。七、審查內政部主管預算凍結書面報告案計2案。八、審查內政部主管預算凍結書面報告案計2案。
transcript.whisperx[441].start 12169.735
transcript.whisperx[441].end 12199.104
transcript.whisperx[441].text 審查內政部主管預算凍結書面報告案計2案。三、審查內政部主管預算凍結書面報告案計2案。四、審查內政部主管預算凍結書面報告案計2案。五、審查內政部主管預算凍結書面報告案計2案。六、審查內政部主管預算凍結書面報告案計2案。七、審查內政部主管預算凍結書面報告案計2案。八、審查內政部主管預算凍結書面報告案計2案。
transcript.whisperx[442].start 12205.759
transcript.whisperx[442].end 12235.207
transcript.whisperx[442].text 審查內政部主管預算凍結書面報告案計2案。三、審查內政部主管預算凍結書面報告案計2案。四、審查內政部主管預算凍結書面報告案計2案。五、審查內政部主管預算凍結書面報告案計2案。六、審查內政部主管預算凍結書面報告案計2案。七、審查內政部主管預算凍結書面報告案。八、審查內政部主管預算凍結書面報告案。
transcript.whisperx[443].start 12275.811
transcript.whisperx[443].end 12300.327
transcript.whisperx[443].text 審查內政部主管預算凍結書面報告案計2案。三、審查內政部主管預算凍結書面報告案計2案。四、審查內政部主管預算凍結書面報告案計2案。五、審查內政部主管預算凍結書面報告案計2案。六、審查內政部主管預算凍結書面報告案計2案。
transcript.whisperx[444].start 12310.316
transcript.whisperx[444].end 12333.586
transcript.whisperx[444].text 審查內政部主管預算凍結書面報告案計2案。三、審查內政部主管預算凍結書面報告案計2案。四、審查內政部主管預算凍結書面報告案計2案。五、審查內政部主管預算凍結書面報告案計2案。六、審查內政部主管預算凍結書面報告案計2案。
transcript.whisperx[445].start 12339.326
transcript.whisperx[445].end 12363.62
transcript.whisperx[445].text 審查內政部主管預算凍結書面報告案計2案。三、審查內政部主管預算凍結書面報告案計2案。四、審查內政部主管預算凍結書面報告案計2案。五、審查內政部主管預算凍結書面報告案計2案。六、審查內政部主管預算凍結書面報告案計2案。
transcript.whisperx[446].start 12368.985
transcript.whisperx[446].end 12381.529
transcript.whisperx[446].text 審查內政部主管預算凍結書面報告案計2案。三、審查內政部主管預算凍結書面報告案計2案。四、審查內政部主管預算凍結書面報告案計2案。五、審查內政部主管預算凍結書面報告案計2案。六、審查內政部主管預算凍結書面報告案計2案。
transcript.whisperx[447].start 12397.655
transcript.whisperx[447].end 12422.26
transcript.whisperx[447].text 審查內政部主管預算凍結書面報告案計2案。三、審查內政部主管預算凍結書面報告案計2案。四、審查內政部主管預算凍結書面報告案計2案。五、審查內政部主管預算凍結書面報告案計2案。六、審查內政部主管預算凍結書面報告案計2案。
transcript.whisperx[448].start 12428.029
transcript.whisperx[448].end 12431.303
transcript.whisperx[448].text 審查內政部主管預算凍結書面報告案計2案。三、審查內政部主管預算凍結書面報告案計4案。
transcript.whisperx[449].start 12444.08
transcript.whisperx[449].end 12458.891
transcript.whisperx[449].text 審查內政部主管預算凍結書面報告案計2案。三、審查內政部主管預算凍結書面報告案計2案。四、審查內政部主管預算凍結書面報告案計2案。五、審查內政部主管預算凍結書面報告案計2案。六、審查內政部主管預算凍結書面報告案計2案。
transcript.whisperx[450].start 12460.353
transcript.whisperx[450].end 12481.087
transcript.whisperx[450].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。六、審查內政部主管預算凍結書面報告案計6案。七、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[451].start 12492.659
transcript.whisperx[451].end 12502.848
transcript.whisperx[451].text 審查內政部主管預算凍結書面報告案計2案。三、審查內政部主管預算凍結書面報告案。四、審查內政部主管預算凍結書面報告案。五、審查內政部主管預算凍結書面報告案。
transcript.whisperx[452].start 12510.279
transcript.whisperx[452].end 12526.964
transcript.whisperx[452].text 審查內政部主管預算凍結書面報告案計1案。三、審查內政部主管預算凍結書面報告案計1案。四、審查內政部主管預算凍結書面報告案計1案。五、審查內政部主管預算凍結書面報告案計1案。六、審查內政部主管預算凍結書面報告案計1案。
transcript.whisperx[453].start 12532.418
transcript.whisperx[453].end 12551.545
transcript.whisperx[453].text 審查內政部函送國家住宅及都市更新中心113年度中央政府總預算凍結書面報告案計1案。三、審查內政部函送國家住宅及都市更新中心113年度中央政府總預算凍結書面報告案計1案。四、審查內政部函送國家住宅及都市更新中心113年度中央政府總預算凍結書面報告案。五、審查內政部函送國家住宅及都市更新中心113年度中央政府總預算凍結書面報告案。六、審查內政部函送國家住宅及都市更新中心113年度中央政府總預算凍結書面報告案。七、審查內政部函
transcript.whisperx[454].start 12556.574
transcript.whisperx[454].end 12563.96
transcript.whisperx[454].text 這次國際外的推動,我想其實我畫得很大聲,大家都在拍片,所以從2021年我們去走書勳規劃的阿提諾,到去年成功在國際藍種認證是本土資格的阿巴西,
transcript.whisperx[455].start 12581.855
transcript.whisperx[455].end 12608.313
transcript.whisperx[455].text 一路走來其實大家都有一點點貢獻但內政委員會大家一起去努力可是本席在上一屆就是2021年提出的一個修法的一個版本上一屆本席在當召委的時候其實我很想排審但是沒有辦法啦您就說擔院板出來我以後院板也怎麼出來要作回信嘛還在讀許春甯的爭議所以就暫行擱置因為這期不連續又拖過了一陣子所以今天我要感謝吳清明召委的排審
transcript.whisperx[456].start 12614.118
transcript.whisperx[456].end 12626.692
transcript.whisperx[456].text 其實我們倒可以借這個時候來好好討論國際法所面臨到的一些困境我看這麼多委員的版本裡面大家對於這個第五條的部分這個高專人才的一個年限修正為連續這個
transcript.whisperx[457].start 12629.5
transcript.whisperx[457].end 12633.441
transcript.whisperx[457].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[458].start 12654.409
transcript.whisperx[458].end 12656.19
transcript.whisperx[458].text 二、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[459].start 12675.916
transcript.whisperx[459].end 12677.478
transcript.whisperx[459].text 審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[460].start 12691.772
transcript.whisperx[460].end 12702.315
transcript.whisperx[460].text 對於部份職業運動選手來講是一個非常好用的尤其是我們到很多國家去都可以免簽那同時很多人想去對岸職業的一個聯賽去做一個發展那畢竟比我們本土的聯賽還要好同時對岸長期以來為了吸引我們優秀的一個選手在職業運動聯賽裡面都有所謂的一些特例以籃球為例你去把它看就是說中國聯賽常常會限定所謂的洋將名額
transcript.whisperx[461].start 12720.06
transcript.whisperx[461].end 12723.322
transcript.whisperx[461].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。六、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[462].start 12749.724
transcript.whisperx[462].end 12753.526
transcript.whisperx[462].text 配合相關義務。我們拿次長您的看法。謝謝委員對這個議題的關心。我想這樣子,如果我們在這個歸國籍以後,我們在附帶條款的話,那會不會跟行政程序法93條的規定有違背?因為對於這種附帶條款的處分,那
transcript.whisperx[463].start 12778.151
transcript.whisperx[463].end 12783.334
transcript.whisperx[463].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[464].start 12797.443
transcript.whisperx[464].end 12797.823
transcript.whisperx[464].text 審查內政部主管預算凍結書面報告案
transcript.whisperx[465].start 12812.654
transcript.whisperx[465].end 12815.255
transcript.whisperx[465].text 二、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[466].start 12836.221
transcript.whisperx[466].end 12839.303
transcript.whisperx[466].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[467].start 12855.253
transcript.whisperx[467].end 12857.714
transcript.whisperx[467].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案。
transcript.whisperx[468].start 12872.682
transcript.whisperx[468].end 12879.907
transcript.whisperx[468].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管
transcript.whisperx[469].start 12900.862
transcript.whisperx[469].end 12901.382
transcript.whisperx[469].text 強制規定主結構柱樑必須採用耐彎彎溝降低柱子高軸壓狀態核心爆裂的風險。
transcript.whisperx[470].start 12924.233
transcript.whisperx[470].end 12932.586
transcript.whisperx[470].text 我們有紅單、黃單、危老都跟地方縣市政府的納管,我們中央政府還有什麼進一步要怎麼去處理管制行為?
transcript.whisperx[471].start 12935.046
transcript.whisperx[471].end 12956.157
transcript.whisperx[471].text 這一部分我是不是請蘇財雲。博讀署。感謝委員其實我們跟委員報告在108年109年中就曾經針對全台灣七樓以上的建築物大概都做了一個快篩也就是把這些的設計圖就全部先來篩過一遍那全台灣大概有一萬兩千件是屬於
transcript.whisperx[472].start 12957.458
transcript.whisperx[472].end 12974.818
transcript.whisperx[472].text 在建造的圖就看得出來是屬於比較落成的設計。那所以在當時也把這些資料都寄給各地方政府,請他們要轉資這些所有全人一定要仔細的去了解自己的狀況。那當然也是鼓勵他們做這個內政補強。
transcript.whisperx[473].start 12976.4
transcript.whisperx[473].end 12979.583
transcript.whisperx[473].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[474].start 12992.114
transcript.whisperx[474].end 12997.258
transcript.whisperx[474].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[475].start 13018.234
transcript.whisperx[475].end 13019.114
transcript.whisperx[475].text 審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[476].start 13038.661
transcript.whisperx[476].end 13048.687
transcript.whisperx[476].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案。四、審查內政部主管預算凍結書面報告案。四、審查內政部主管預算凍結書面報告案。四、審查內政部主管預算凍結書面報告案。四、審查內政部主管預算凍結書面報告案。
transcript.whisperx[477].start 13067.418
transcript.whisperx[477].end 13077.146
transcript.whisperx[477].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[478].start 13095.526
transcript.whisperx[478].end 13102.852
transcript.whisperx[478].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[479].start 13124.063
transcript.whisperx[479].end 13131.028
transcript.whisperx[479].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[480].start 13144.83
transcript.whisperx[480].end 13171.365
transcript.whisperx[480].text 我們希望花蓮平安也很感謝內政部還有感謝這次救災的國軍弟兄但是我們也必須要來檢討我們目前這個防災的重要性因為昨天也遇到很多住外這個住台的使節啦他們在這些餘震之後心非常害怕那也他們也住過非常多其他的國家所以我們今天主要是來對比一下也學習鄰國日本
transcript.whisperx[481].start 13172.125
transcript.whisperx[481].end 13186.93
transcript.whisperx[481].text 審查113年度中央政府總預算案有關內政部主管預算凍結書面報告案計2案。三、審查113年度中央政府總預算案有關內政部主管預算凍結書面報告案計2案。四、審查113年度中央政府總預算案有關內政部主管預算凍結書面報告案。五、審查113年度中央政府總預算案有關內政部主管預算凍結書面報告案。六、審查113年度中央政府總預算凍結書面報告案。七、審查113年度中央政府總預算凍結書面報告案。八、審查113年度中央政府總預算凍結書面報告案。
transcript.whisperx[482].start 13199.774
transcript.whisperx[482].end 13206.6
transcript.whisperx[482].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[483].start 13219.211
transcript.whisperx[483].end 13242.217
transcript.whisperx[483].text 經由這個內政部的消防署要先選擇住在哪一個縣市哪一區哪一個鄉鎮光是查詢這些就需要20秒的時間非常的長也許平常我們在家裡會準備防災包這個都是大家有接受教育的可是地震常常發生在我們上班的時候在通勤的時候
transcript.whisperx[484].start 13242.797
transcript.whisperx[484].end 13248.441
transcript.whisperx[484].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[485].start 13264.13
transcript.whisperx[485].end 13269.673
transcript.whisperx[485].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[486].start 13293.127
transcript.whisperx[486].end 13299.473
transcript.whisperx[486].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[487].start 13313.715
transcript.whisperx[487].end 13317.377
transcript.whisperx[487].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[488].start 13343.798
transcript.whisperx[488].end 13363.557
transcript.whisperx[488].text 謝謝這個委員的指教我想這一個防災資訊其實在我們的消防署有一個APP還有警政當然都有那當然你必須要去廣播宣傳讓民眾都清楚知道你可以透過這樣的APP去得到相關的資訊那就像剛剛委員講可能你要上網還要一段時間
transcript.whisperx[489].start 13364.178
transcript.whisperx[489].end 13367.762
transcript.whisperx[489].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[490].start 13385.52
transcript.whisperx[490].end 13387.423
transcript.whisperx[490].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[491].start 13400.964
transcript.whisperx[491].end 13405.588
transcript.whisperx[491].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。六、審查內政部主管預算凍結書面報告案計6案。七、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[492].start 13429.329
transcript.whisperx[492].end 13434.973
transcript.whisperx[492].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[493].start 13448.721
transcript.whisperx[493].end 13477.538
transcript.whisperx[493].text 去建構一個很完善的APP是吃力不逃而且預算很高所以這是我們很多業務常常會用的就是很簡單的Google Map他在哪一個區域他就可以找到附近有什麼咖啡廳有什麼餐廳而且可以引導你直接到那個路線所以我是具體的建議內政部是不是有考慮跟這些大型的網路公司來做合作因為他不管在什麼位置遇到災難他其實就可以具體的找出他最近的一些避難所應該要怎麼去
transcript.whisperx[494].start 13484.304
transcript.whisperx[494].end 13502.89
transcript.whisperx[494].text 感謝委員關心防災的議題我們現在開發的防災應變APP事實上就是有這樣的功能甚至可以用虛擬導覽的方式可以達到我們必然的一個地方這個目前已經建設好那當然這樣的運作如果說委員建議是跟Google來做一個合作
transcript.whisperx[495].start 13503.37
transcript.whisperx[495].end 13526.911
transcript.whisperx[495].text 那你旁邊的次長剛剛說他並沒有具體的去查過他家附近的防災所以兩個部分啦對就是防災的社區跟防災的剛才地圖這個部分在地方政府都已經有建設只不過可能大家對這個議事的推動我們可能還有很大的努力空間這第一部分那第二部分就地圖地圖的GIS地圖的使用目前臺灣也把這個系統開發好
transcript.whisperx[496].start 13528.832
transcript.whisperx[496].end 13534.156
transcript.whisperx[496].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[497].start 13550.465
transcript.whisperx[497].end 13557.69
transcript.whisperx[497].text 張振淺委員不在。楊瓊英委員不在。樓志強委員不在。鍾嘉斌委員不在。吳佩儀委員不在。陳佩儀委員執行。
transcript.whisperx[498].start 13577.878
transcript.whisperx[498].end 13606.254
transcript.whisperx[498].text 好,謝謝主席,那有請部長。謝謝。好,請次長。好,謝謝。次長,好,次長,謝謝。委員好。好,次長吳安,我想要說一下,我們投影片還在,沒關係,我想說一下,關於今天內政部這個法案的評估,我們覺得非常失望,因為我們辦公室提出了一個相關的討論,那其實這個討論其實也是國際趨勢,那就是關於這個運動員入籍的部分,那不知道這個部分,我們辦公室的條文,請問次長您有研究過嗎?
transcript.whisperx[499].start 13612.158
transcript.whisperx[499].end 13632.148
transcript.whisperx[499].text 我們要談的是運動員規劃其實應該正確說法是有分成所謂的入籍跟規劃兩種這兩種途徑都有那我在投影片上的左邊是選入籍的部分右邊是屬於條件規劃的部分那有分成居留的時間或是因為配偶的關係或是高專甚至是非常特殊的叫做書勳我想次長應該都非常清楚
transcript.whisperx[500].start 13632.648
transcript.whisperx[500].end 13635.132
transcript.whisperx[500].text 審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。六、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[501].start 13648.971
transcript.whisperx[501].end 13668.542
transcript.whisperx[501].text 2023年女足世界盃,菲律賓有策略聯絡許多美籍非裔選手加入,打敗台灣取得世界盃晉級門票。到了今年足球亞洲盃,印尼與馬來西亞透過海外二代子弟成功打入世界殿堂。這種積極尋找血緣關係選手的做法,其實真的是目前國際體壇的趨勢。可是這邊我們來看一下,
transcript.whisperx[502].start 13673.044
transcript.whisperx[502].end 13694.304
transcript.whisperx[502].text 在足球界最高殿堂世界盃在俱樂部的部分有一個所謂的俱樂部世界盃那這個部分畫面中這個球員叫做Jordan他的祖母是臺灣人他目前正在紐西蘭的奧克蘭FC效力在去年的俱樂部世界當中呢不只有FIFA幫他做了個人專輯他自己也成為了第一個踏上俱樂部世界盃的
transcript.whisperx[503].start 13695.185
transcript.whisperx[503].end 13697.866
transcript.whisperx[503].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[504].start 13716.095
transcript.whisperx[504].end 13725.28
transcript.whisperx[504].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管
transcript.whisperx[505].start 13745.191
transcript.whisperx[505].end 13752.315
transcript.whisperx[505].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[506].start 13774.124
transcript.whisperx[506].end 13782.587
transcript.whisperx[506].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[507].start 13803.135
transcript.whisperx[507].end 13818.207
transcript.whisperx[507].text 即將521上任賴總統也說要發展國家體育政策國家體育部的這件事情可是我們卻沒有更多優秀人才他們也有意願回來為國家臺灣國家對效力但是在目前你們高專說縮短那你們又要研議多久所以我們當時的提案是說
transcript.whisperx[508].start 13818.727
transcript.whisperx[508].end 13834.2
transcript.whisperx[508].text 可不可以在民國69年以前出生具有中華民國國籍的女性子女在不影響到既有的國籍法第二條第二項的精神前提底下用體育例外的概念我們當然知道不能廣開國籍大門會造成很多的爭議跟討論可是透過特定體育團體主動為球員發聲為淡書然後我們同時還保留撤銷的可能性
transcript.whisperx[509].start 13841.741
transcript.whisperx[509].end 13844.822
transcript.whisperx[509].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[510].start 13859.648
transcript.whisperx[510].end 13865.472
transcript.whisperx[510].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。六、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[511].start 13884.224
transcript.whisperx[511].end 13887.345
transcript.whisperx[511].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[512].start 13906.61
transcript.whisperx[512].end 13911.292
transcript.whisperx[512].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[513].start 13919.281
transcript.whisperx[513].end 13927.683
transcript.whisperx[513].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[514].start 13948.649
transcript.whisperx[514].end 13952.151
transcript.whisperx[514].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[515].start 13964.7
transcript.whisperx[515].end 13972.022
transcript.whisperx[515].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[516].start 13991.08
transcript.whisperx[516].end 14017.748
transcript.whisperx[516].text 市長好今天可能會比較簡短因為是針對這個0403受災戶的住宅補貼的實際上面的實施問題那我想4月3號以來地震這個陸續而且是昨天4月22號還是有許多的餘震那許多住宅分別被添上紅單黃單那民眾的居住安全我們可以知道是直接受到威脅那特別是一般的學生那可能是他也不是居住在此地可能是來這邊留在這邊這個就學的
transcript.whisperx[517].start 14020.149
transcript.whisperx[517].end 14041.848
transcript.whisperx[517].text 先肯定國土署那因應緊急居住需求有推出0403的補貼方案,包含租金補助、自購住宅的貸款例行補貼,還有修繕住宅的貸款補貼。但是目前,受災戶如果有租屋的需求,不管是自行或透過包租貸款來去媒合,政府都有提供租金補貼。
transcript.whisperx[518].start 14043.149
transcript.whisperx[518].end 14048.031
transcript.whisperx[518].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[519].start 14068.833
transcript.whisperx[519].end 14095.576
transcript.whisperx[519].text 跟委員報告,其實租金補貼,他只要回歸一般的就可以了。只要回歸一般就好?對,一般的我們那個50萬戶的,他們還是可以繼續申請。他們還是可以繼續申請?對,對,這個沒有問題。那我就這樣子跟回覆就是,一些來自花蓮,雖然說我們的選區不在那裡,可是我想...對,對,對,其實他們最主要是因為他們對校舍有些甚至澄清到我們這邊來,所以我們是希望說藉由這樣諮詢的機會把這樣的訊息來提供給大家。所以他們一樣可以繼續申請?
transcript.whisperx[520].start 14096.237
transcript.whisperx[520].end 14100.178
transcript.whisperx[520].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[521].start 14116.417
transcript.whisperx[521].end 14143.659
transcript.whisperx[521].text 的確最近開始有一些新聞是說房東可能借機又再抬高因為在花蓮的租屋來源是相對有限所以房東又借機那第二個就是說不能申請租金補貼這倒是還沒有聽因為他們都希望你領租金補貼但是我再把房價再把它調高所以這些問題這些受災的這些民眾遇到這樣的問題的話我想請教有沒有什麼樣的相關的因應方式
transcript.whisperx[522].start 14144.346
transcript.whisperx[522].end 14155.722
transcript.whisperx[522].text 其實現在的那個租屋定型化契約地政室這邊其實都有在做一些修正那當然最近可能還會再努力我想這一個有關租屋應該回歸定型化契約
transcript.whisperx[523].start 14156.493
transcript.whisperx[523].end 14165.237
transcript.whisperx[523].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[524].start 14185.998
transcript.whisperx[524].end 14188.5
transcript.whisperx[524].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[525].start 14209.614
transcript.whisperx[525].end 14214.536
transcript.whisperx[525].text 審查內政部主管預算凍結書面報告案計1案。三、審查內政部主管預算凍結書面報告案計1案。四、審查內政部主管預算凍結書面報告案計1案。五、審查內政部主管預算凍結書面報告案計1案。
transcript.whisperx[526].start 14232.825
transcript.whisperx[526].end 14238.156
transcript.whisperx[526].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[527].start 14245.523
transcript.whisperx[527].end 14262.176
transcript.whisperx[527].text 審查內政部函送國家住宅及都市更新中心113年度中央政府總預算凍結書面報告案計2案。三、審查內政部函送國家住宅及都市更新中心113年度中央政府總預算凍結書面報告案計2案。四、審查內政部函送國家住宅及都市更新中心113年度中央政府總預算凍結書面報告案計2案。三、審查內政部函送國家住宅及都市更新中心113年度中央政府總預算凍結書面報告案。四、審查內政部函送國家住宅及都市更新中心113年度中央政府總預算凍結書面報告案。四、審查內政
transcript.whisperx[528].start 14274.991
transcript.whisperx[528].end 14276.892
transcript.whisperx[528].text 請吳清明交委質詢吳清明交委質詢吳清明交委質詢吳清明交委質詢吳清明交委質詢
transcript.whisperx[529].start 14301.564
transcript.whisperx[529].end 14310.712
transcript.whisperx[529].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[530].start 14329.427
transcript.whisperx[530].end 14346.032
transcript.whisperx[530].text 審查內政部函送國家住宅及都市更新中心113年度中央政府總預算凍結書面報告案計1案。三、審查內政部函送國家住宅及都市更新中心113年度中央政府總預算凍結書面報告案計1案。四、審查內政部函送國家住宅及都市更新中心113年度中央政府總預算凍結書面報告案。五、審查內政部函送國家住宅及都市更新中心113年度中央政府總預算凍結書面報告案。六、審查內政部函送國家住宅及都市更新中心113年度中央政府總預算凍結書面報告案。
transcript.whisperx[531].start 14348.899
transcript.whisperx[531].end 14356.566
transcript.whisperx[531].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[532].start 14370.872
transcript.whisperx[532].end 14383.888
transcript.whisperx[532].text 我們所編列的在4月3號已經交付二讀,我們的正貨的重建經費150億,包含紅單以及黃單的整建。
transcript.whisperx[533].start 14393.238
transcript.whisperx[533].end 14406.343
transcript.whisperx[533].text 重建的過程中,特別我們的預算適用的範圍是全國還是我們個別的像花蓮這個地方,是不是請我們的次長還是署長來做說明?根文報告,其實因為我們現在的建築設計裡面,
transcript.whisperx[534].start 14415.725
transcript.whisperx[534].end 14420.328
transcript.whisperx[534].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[535].start 14436.348
transcript.whisperx[535].end 14442.133
transcript.whisperx[535].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[536].start 14457.928
transcript.whisperx[536].end 14468.816
transcript.whisperx[536].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。六、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[537].start 14479.904
transcript.whisperx[537].end 14481.706
transcript.whisperx[537].text 審查內政部主管預算凍結書面報告案計1案。三、審查內政部主管預算凍結書面報告案計1案。四、
transcript.whisperx[538].start 14497.691
transcript.whisperx[538].end 14508.494
transcript.whisperx[538].text 凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[539].start 14526.32
transcript.whisperx[539].end 14530.704
transcript.whisperx[539].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[540].start 14542.614
transcript.whisperx[540].end 14547.939
transcript.whisperx[540].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[541].start 14568.524
transcript.whisperx[541].end 14579.286
transcript.whisperx[541].text 好,因為署長,所以主要是說,他這個署已經都卡嘛,但是現在他說,你說補償對他們來說,他們也都還不安心,還要等幾天,又有疑陣。所以說,在這種情況下,大家共同的心聲說,欸,可以來採取,但是我們政府可以提拔多少,如果給他們做補助,這是屬於他實際嘛。在這個部分,你們研究要怎麼處理好我,好不好?
transcript.whisperx[542].start 14595.329
transcript.whisperx[542].end 14608.459
transcript.whisperx[542].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[543].start 14623.49
transcript.whisperx[543].end 14628.805
transcript.whisperx[543].text 審查內政部主管預算凍結書面報告案計1案。三、審查內政部主管預算凍結書面報告案計1案。四、審查內政部主管預算凍結書面報告案計1案。
transcript.whisperx[544].start 14629.94
transcript.whisperx[544].end 14645.23
transcript.whisperx[544].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管
transcript.whisperx[545].start 14657.381
transcript.whisperx[545].end 14659.002
transcript.whisperx[545].text 內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、
transcript.whisperx[546].start 14673.695
transcript.whisperx[546].end 14681.223
transcript.whisperx[546].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[547].start 14696.638
transcript.whisperx[547].end 14703.92
transcript.whisperx[547].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[548].start 14735.587
transcript.whisperx[548].end 14759.373
transcript.whisperx[548].text 登記發言委員除不在場之外,其已經已發言完畢,審打結束。委員黃仁以及我們牛行廷所提書面執行列入記錄刊登公報。書面執行及未答覆部分請相關單位一周內以書面答覆並複製本位。
transcript.whisperx[549].start 14761.96
transcript.whisperx[549].end 14764.822
transcript.whisperx[549].text 審查內政部函送國家住都更新中心113年度預算凍結書面報告案計1案。四、業務成本與費用預算凍結100萬書面報告案計6案。
transcript.whisperx[550].start 14792.106
transcript.whisperx[550].end 14808.376
transcript.whisperx[550].text 請各位委員是否同意動之?不同意,好。好,那我們先休息一下,有自治中心先協商一下。
transcript.whisperx[551].start 14812.534
transcript.whisperx[551].end 14816.556
transcript.whisperx[551].text 審查113年度中央政府總預算案有關內政部主管預算凍結書面報告案計6案。
transcript.whisperx[552].start 14837.481
transcript.whisperx[552].end 14843.29
transcript.whisperx[552].text 審查內政部主管預算凍結書面報告案計1案。三、審查內政部主管預算凍結書面報告案計1案。四、審查內政部主管預算凍結書面報告案計1案。五、審查內政部主管預算凍結書面報告案計1案。
transcript.whisperx[553].start 14847.962
transcript.whisperx[553].end 14873.072
transcript.whisperx[553].text 審查內政部主管預算凍結書面報告案計2案。三、審查內政部主管預算凍結書面報告案計2案。四、審查內政部主管預算凍結書面報告案計2案。三、審查內政部主管預算凍結書面報告案計2案。四、審查內政部主管預算凍結書面報告案計2案。四、審查內政部主管預算凍結書面報告案計2案。四、審查內政部主管預算凍結書面報告案計2案。四、審查內政部主管預算凍結書面報告案計2案。四、審查內政部主管預算凍結書面報告案計2案。
transcript.whisperx[554].start 14876.695
transcript.whisperx[554].end 14895.554
transcript.whisperx[554].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[555].start 14899.097
transcript.whisperx[555].end 14924.069
transcript.whisperx[555].text 審查內政部主管預算凍結書面報告案計2案。三、審查內政部主管預算凍結書面報告案計2案。四、審查內政部主管預算凍結書面報告案計2案。三、審查內政部主管預算凍結書面報告案計2案。四、審查內政部主管預算凍結書面報告案計2案。四、審查內政部主管預算凍結書面報告案計2案。
transcript.whisperx[556].start 14925.751
transcript.whisperx[556].end 14938.588
transcript.whisperx[556].text 審查內政部主管預算凍結書面報告案計2案。三、審查內政部主管預算凍結書面報告案計2案。四、審查內政部主管預算凍結書面報告案計2案。三、審查內政部主管預算凍結書面報告案計2案。四、審查內政部主管預算凍結書面報告案計2案。
transcript.whisperx[557].start 14943.274
transcript.whisperx[557].end 14964.902
transcript.whisperx[557].text 審查內政部主管預算凍結書面報告案計2案。三、審查內政部主管預算凍結書面報告案計2案。四、審查內政部主管預算凍結書面報告案計2案。五、審查內政部主管預算凍結書面報告案計2案。六、審查內政部主管預算凍結書面報告案計2案。七、審查內政部主管預算凍結書面報告案計2案。
transcript.whisperx[558].start 14967.944
transcript.whisperx[558].end 14977.043
transcript.whisperx[558].text 審查內政部主管預算凍結書面報告案計2案。三、審查內政部主管預算凍結書面報告案計2案。四、審查內政部主管預算凍結書面報告案計2案。
transcript.whisperx[559].start 14980.371
transcript.whisperx[559].end 15006.65
transcript.whisperx[559].text 審查內政部主管預算凍結書面報告案計2案。三、審查內政部主管預算凍結書面報告案計2案。四、審查內政部主管預算凍結書面報告案計2案。三、審查內政部主管預算凍結書面報告案計2案。四、審查內政部主管預算凍結書面報告案計2案。四、審查內政部主管預算凍結書面報告案計2案。四、審查內政部主管預算凍結書面報告案計2案。
transcript.whisperx[560].start 15011.127
transcript.whisperx[560].end 15027.462
transcript.whisperx[560].text 審查內政部主管預算凍結書面報告案計1案。三、審查內政部主管預算凍結書面報告案計1案。四、審查內政部主管預算凍結書面報告案計1案。五、審查內政部主管預算凍結書面報告案計1案。六、審查內政部主管預算凍結書面報告案計1案。
transcript.whisperx[561].start 15029.544
transcript.whisperx[561].end 15042.454
transcript.whisperx[561].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[562].start 15046.737
transcript.whisperx[562].end 15068.294
transcript.whisperx[562].text 審查內政部主管預算凍結書面報告案計2案。三、審查內政部主管預算凍結書面報告案計2案。四、審查內政部主管預算凍結書面報告案計2案。三、審查內政部主管預算凍結書面報告案計2案。四、審查內政部主管預算凍結書面報告案計2案。四、審查內政部主管預算凍結書面報告案計2案。四、審查內政部主管預算凍結書面報告案計2案。
transcript.whisperx[563].start 15076.562
transcript.whisperx[563].end 15077.913
transcript.whisperx[563].text 審查內政部主管預算凍結書面報告案計2案。
transcript.whisperx[564].start 15080.7
transcript.whisperx[564].end 15107.089
transcript.whisperx[564].text 審查內政部主管預算凍結書面報告案計2案。三、審查內政部主管預算凍結書面報告案計2案。四、審查內政部主管預算凍結書面報告案計2案。五、審查內政部主管預算凍結書面報告案計2案。六、審查內政部主管預算凍結書面報告案計2案。七、審查內政部主管預算凍結書面報告案計2案。八、審查內政部主管預算凍結書面報告案計2案。
transcript.whisperx[565].start 15110.85
transcript.whisperx[565].end 15137.979
transcript.whisperx[565].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管
transcript.whisperx[566].start 15140.261
transcript.whisperx[566].end 15160.174
transcript.whisperx[566].text 審查內政部函送國家住宅及都市更新中心113年度預算凍結書面報告案計2案。三、審查內政部函送國家住宅及都市更新中心113年度預算凍結書面報告案。四、審查內政部函送國家住宅及都市更新中心113年度預算凍結書面報告案。
transcript.whisperx[567].start 15165.131
transcript.whisperx[567].end 15165.991
transcript.whisperx[567].text 同意通知提報委員會。
transcript.whisperx[568].start 15195.578
transcript.whisperx[568].end 15198.622
transcript.whisperx[568].text 審查113年度中央政府總預算案有關內政部主管預算凍結書面報告案計6案。
transcript.whisperx[569].start 15217.522
transcript.whisperx[569].end 15218.683
transcript.whisperx[569].text 審查內政資訊業務凍結200萬案。
transcript.whisperx[570].start 15229.324
transcript.whisperx[570].end 15245.654
transcript.whisperx[570].text 審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。六、審查內政部主管預算凍結書面報告案計6案。七、審查內政部主管預算凍結書面報告案計6案。八、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[571].start 15251.397
transcript.whisperx[571].end 15259.484
transcript.whisperx[571].text 審查內政部主管預算凍結書面報告案計2案。三、審查內政部主管預算凍結書面報告案計2案。四、審查內政部主管預算凍結書面報告案計2案。五、審查內政部主管預算凍結書面報告案計2案。六、審查內政部主管預算凍結書面報告案計2案。七、審查內政部主管預算凍結書面報告案計2案。
transcript.whisperx[572].start 15288.32
transcript.whisperx[572].end 15299.103
transcript.whisperx[572].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[573].start 15312.869
transcript.whisperx[573].end 15319.233
transcript.whisperx[573].text 事項國際法部份條文修正草案所有版本及條文修正動議。請一併先讀。
transcript.whisperx[574].start 15338.796
transcript.whisperx[574].end 15361.01
transcript.whisperx[574].text 先讀完畢再進行協商。國籍法部分條文修正草案。第二條,委員蘇巧慧等18人提案。增訂第三項,出生於中華民國領域內,其母為外國人,但有事實足認其刑方不明者,視同無可考。其餘同現行條文。委員王定宇等20人提案。增訂第三項、第四項、第五項分別為,
transcript.whisperx[575].start 15361.63
transcript.whisperx[575].end 15384.387
transcript.whisperx[575].text 本法所稱無國籍人指任何國家依該國法律認定不屬於該國國民者有下列各款情形之一者等人定為無國籍人依持外國政府合法在民無國籍之旅行身份證件。二、符合入出國籍移民法第16條第二項至第4項規定之泰國、緬甸、印尼、印度或尼泊爾地區無國籍人民持有在民無國籍之外僑居留證。三、其他紀念政部認定
transcript.whisperx[576].start 15385.248
transcript.whisperx[576].end 15400.661
transcript.whisperx[576].text 前項第三款之認定要進入被文件處理程序及其他相關事項之標準由內政部定之,其餘同現行條文。委員林黛化等17人提案,增訂第三項及第四項第一款。文字同委員王定理等20人提案,增訂第三項第二款。
transcript.whisperx[577].start 15402.373
transcript.whisperx[577].end 15430.364
transcript.whisperx[577].text 證明第3項第二款二符合入住國及移民法第16條第二項之第4項之規定者其餘同性行條文。第4條行政院提案將第二項修正為未婚且未滿18歲之外國人或無國籍人有下列情形之一者在中華民國領域內合法拘留雖未滿3年前未具備前條第一項第二款第4款及第5款要件亦得申請規劃。一、父母養父或養母現為中華民國國民。二、借用社會福利主管機關或社會福利機構監護其餘同性行條文。
transcript.whisperx[578].start 15431.024
transcript.whisperx[578].end 15450.064
transcript.whisperx[578].text 委員陸媒0等21人提案,將第二項修正為未婚未成年之外國人或無國籍人其父母、養父或養母現為中華民國國民者或其監護人為法院裁定之社會福利主管機關者,在中華民國0年內合法拘留稅未滿3年且未具備前條第一項第二款、第四款及第五款要件亦得申請規劃,其餘同性行條文。
transcript.whisperx[579].start 15450.825
transcript.whisperx[579].end 15474.177
transcript.whisperx[579].text 委員鄭天才等19人提案、委員林一己等21人提案、委員王美惠等19人提案、委員鍾嘉碧等16人提案、均同行政院提案。委員陳益臻等18人提案,將未婚未成年文資修正為未婚且未滿18歲,其餘同性行條文。委員吳佩義等17人提案,第二項序文前段之未婚且未滿18歲文資修正為未婚未成年其餘同行政院提案。
transcript.whisperx[580].start 15474.877
transcript.whisperx[580].end 15501.683
transcript.whisperx[580].text 委員莊瑞雄等17人提案,將第二項修正為未婚且未滿18歲之外國人或無國籍人妻、父母、養父或養母現為中華民國國民者或現有社會福利主管及官社會福利機構經負者,在中華民國理念院合法拘留稅未滿3年且未具備前條第1項、第2款、第4款及第5款要件,亦得申請規劃,其餘同性行條文。四、臺灣民眾黨黨團提案,將第二項前段之未婚或成年人文資修正為未婚且未滿20歲,其餘同性行條文。
transcript.whisperx[581].start 15502.443
transcript.whisperx[581].end 15531.863
transcript.whisperx[581].text 第5條,行政院提案,增訂第一項第三款。三、由中央目的事業主管機關推薦至高級專業人才有助中華民國利益並經內政部邀請社會公正人士及相關機關共同審核通過,且與中華民國領域內每年合計有183日以上合法拘留之事實繼續2年以上,或曾在中華民國領域內合法拘留繼續5年以上。第二項修正為,前項第3款,所定高級專業人才之認定要審核程序方式及其他相關事項之標準由內政部定之,其餘同性行條文。
transcript.whisperx[582].start 15532.604
transcript.whisperx[582].end 15540.179
transcript.whisperx[582].text 委員鄭天才等19人提案、委員明英紀等21人提案、委員莊瑞祥等17人提案、委員鍾嘉斌等16人提案、軍統行政院提案。
transcript.whisperx[583].start 15541.567
transcript.whisperx[583].end 15561.738
transcript.whisperx[583].text 委員王美惠等19人提案,增添第一項第三款。三、由中央目的事業主管機關推薦至高級專業人才,有助中華民國利益並經內政部邀請社會公正人士,相關領域專家學者及相關機關工人審核,通過且與中華民國領域內每年合計有183日以上合法居留之事實,繼續2年以上,或曾在中華民國領域內合法居留,繼續5年以上。
transcript.whisperx[584].start 15562.478
transcript.whisperx[584].end 15583.559
transcript.whisperx[584].text 增訂第二項,內政部為前項第三款規劃許可得附加付款,為遵守附加之付款者得廢止其規劃許可。性情條文第二項一列第三項,並修正為第一項第三款鎖定高級專業人才之認定要進審核程序方式付款廢止規劃程序及其他相關事項之辦法,由內政部定之。增訂第四項,6年內曾具有
transcript.whisperx[585].start 15584.099
transcript.whisperx[585].end 15609.091
transcript.whisperx[585].text 大陸、香港或澳門戶籍之外國人及五國語言不適用第一項第三款之規定。其餘同性行條文、委員黃結等20人提案。增訂第一項第三款。三、具特殊專業技能並經政府、機關企業或立案團體聘任專職且於中華民國領域內免免合計有183日以上合法居留之事實繼續2年以上或曾在中華民國領域內合法居留繼續5年以上。其餘同行政院提案。
transcript.whisperx[586].start 15610.273
transcript.whisperx[586].end 15624.987
transcript.whisperx[586].text 第6條行政院提案增訂第3項依第1項規定申請規劃者免徵國籍許可徵書規費其餘通信型條文。委員鄭天才等19人提案委員林英吉等21人提案委員鍾嘉斌等16人提案均同行政院提案。
transcript.whisperx[587].start 15626.041
transcript.whisperx[587].end 15649.759
transcript.whisperx[587].text 委員王美惠等19人提案,增訂第4項,第一項有書信與中華民國之認定原則,應被文件處理程序及其他相關事項之標準,由內政部定之,其餘同行政院提案。委員莊瑞雄等17人提案,增訂第二項後段,文字同行政院提案增訂至第三項,其餘頭線形條文。委員林旦化等17人提案,增訂第三項,文字同委員王美惠等19人提案,增訂第4項,其餘頭線形條文。
transcript.whisperx[588].start 15652.401
transcript.whisperx[588].end 15681.521
transcript.whisperx[588].text 增訂第6條之一委員羅美琳等18人提案。第6條之一外國人或無國籍人居特殊專業機門並經政府機關或民間企業聘用專職於中華民國領域內合法連續居留2年以上且平均每年居住183日以上或曾在中華民國領域內合法居留積蓄5年以上者亦得申請規劃。內政部為前項規劃之許可應會同各民地事業主管機關開會決議後進行政院核准。另一名曾居有大陸、香港或澳門或及之外國人及無國籍人不適用本條。
transcript.whisperx[589].start 15682.541
transcript.whisperx[589].end 15710.126
transcript.whisperx[589].text 委員陳培宇等18人提案。第6條之一,外國人之父母於本法中華民國89年2月9日修正施行時已滿20歲,且其父母之母為中華民國國民如期符合澳亞域項目國際體育組織規範或與取得國籍後可直接代表我國參與國際賽事,得經外國人本人同意後由特定體育團體申請規劃,避免提出喪失原有國籍。內政部為前項規劃之許可,應與教育部共同會商後進行爭議核准。
transcript.whisperx[590].start 15711.326
transcript.whisperx[590].end 15738.047
transcript.whisperx[590].text 依本條申請規劃通過者自規劃核定日期5年內受交易部列管如未依交易部通知之期限地點配合國家代表隊完成報道參加集訓或比賽的撤銷其規劃許可。第7條行政院提案將未婚未成年子女文資修正為未婚前未滿18歲子女其餘同性型條文。委員蘇巧慧等18人提案增訂並修正為規劃人之未成年子女的申請隨同規劃但未成年子女之原屬國法令不允許放棄
transcript.whisperx[591].start 15739.148
transcript.whisperx[591].end 15762.808
transcript.whisperx[591].text 國籍或需滿一定年名以上時的放棄國籍者得取得五國居留並享有國民之權利義務。委員鄭天才等19人提案。委員陳玉珍等18人提案。委員林益錦等21人提案。委員王美惠等19人提案。委員莊瑞雄等17人提案。委員鍾嘉斌等16人提案。軍統行政院提案。台灣民眾黨黨團提案將未婚未成年子女自修正為未婚且未滿20歲子女其餘通信息條文。
transcript.whisperx[592].start 15763.729
transcript.whisperx[592].end 15784.069
transcript.whisperx[592].text 第9條行政院提案將第4項第1款第2款修正為1、1第5條第1項第3款規定申請規劃,2、1第6條第1項規定申請規劃,刪除第5項其餘同線型條文。委員鄭天才等19人提案,委員林盈瑾等21人提案,委員王美惠等19人提案,委員莊玉雄等17人提案,均同行政院提案。
transcript.whisperx[593].start 15784.75
transcript.whisperx[593].end 15810.128
transcript.whisperx[593].text 五雲中嘉賓等16人提案,增訂第4項第4款。四、上述申請人之配偶及未成年子女得隨同本人申請,未隨同本人申請者得於本人申請許可後申請之。本人國籍許可經撤銷後廢止時,原隨同獲予其許可後申請配偶之子女之國籍許可應並同撤銷後廢止之。其餘同行政院提案。五雲黃街等20人提案。第4項第2款修正委。二、依第5條第1項及3款規定申請規劃。刪除第5項其餘同性行條文。
transcript.whisperx[594].start 15815.748
transcript.whisperx[594].end 15837.286
transcript.whisperx[594].text 第19條委員王定宇等20人提案第一項前段之除1第9條第一項規定文資修正為除違反第9條第一項規定其餘同性行條文。第二十條行政院提案將第一項序文修正為中華民國國民局的外國國籍者不得擔任中華民國公職其已擔任者除立法委員由立法院直轄市縣市直轄市山地原住民區鄉鎮市民
transcript.whisperx[595].start 15839.508
transcript.whisperx[595].end 15853.909
transcript.whisperx[595].text 民選公職人員分別由行政院內政部直轄市政府、縣政府、村里長、由商政市區公所解除其公職外,由各該機關免除其公職,但下列各款經該主管機關核准者不在此限。其餘同性行條文。
transcript.whisperx[596].start 15854.77
transcript.whisperx[596].end 15884.142
transcript.whisperx[596].text 委員鄭天才等19人提案第一項序文修正為中華民國國民局的外國國籍者不得擔任中華民國公職其擔任者除立法委員有立法院直轄市縣市鄉鎮市區免選公職人員分別由行政院內政部直轄市政府縣政府村里長由鄉鎮市區公所解除其公職外由各該機關免除其公職但上列各款經該管主管機關合作者不在此縣其余透縣行條文。委員林錦等21人提案委員莊嘉斌等
transcript.whisperx[597].start 15884.662
transcript.whisperx[597].end 15911.705
transcript.whisperx[597].text 中嘉賓等16人提案。均同行政院提案。修正動議第5條。增訂第3項。依本條申請規劃通過者,自規劃合定日期5年面授各目的事業主管及官列管,如未依通知之期限地點配合國家代表隊完成報到參加集訓或比賽,得撤銷其規劃許可。其餘同行政院提案。提案人王美惠委員等6人。
transcript.whisperx[598].start 15921.417
transcript.whisperx[598].end 15936.285
transcript.whisperx[598].text 主席宣告,為此討論的計較,本次會議進行主條討論時,如有行政院版,本就以行政院版提案版本為基準,
transcript.whisperx[599].start 15937.505
transcript.whisperx[599].end 15959.523
transcript.whisperx[599].text 對照委員之修法提案來進行,每條條文如有委員提案後修正動議,先分別請委員表示意見後再由行政單位一併回覆說明。我們現在進行主條討論,現在進行第二條條文討論。
transcript.whisperx[600].start 15969.742
transcript.whisperx[600].end 15980.012
transcript.whisperx[600].text 審查內政部函送國家住宅及都市更新中心111案。二、審查內政部函送國家住宅及都市更新中心111案。三、審查內政部函送國家住宅及都市更新中心111案。四、審查內政部函送國家住宅及都市更新中心111案。五、審查內政部函送國家住宅及都市更新中心111案。
transcript.whisperx[601].start 15981.155
transcript.whisperx[601].end 15985.178
transcript.whisperx[601].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[602].start 16003.692
transcript.whisperx[602].end 16011.461
transcript.whisperx[602].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[603].start 16022.072
transcript.whisperx[603].end 16049.655
transcript.whisperx[603].text 我想這一部分我們行政單位立場是認為說現在有一個機制已經在走當然委員關心的這個從兒童權利公約開始到落實到比如像這個兒少法的22條23條也都有相關規範那現在我們有訂了一個106我們就訂了我想早上委員也特別有提到這就是對於這個無依的這個兒少申請認定為無國籍的這個流程
transcript.whisperx[604].start 16050.339
transcript.whisperx[604].end 16055.463
transcript.whisperx[604].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[605].start 16071.022
transcript.whisperx[605].end 16076.704
transcript.whisperx[605].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[606].start 16085.799
transcript.whisperx[606].end 16090.684
transcript.whisperx[606].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[607].start 16107.12
transcript.whisperx[607].end 16135.271
transcript.whisperx[607].text 對阿19人阿那沒關係阿我可以聽你說我們現在這樣處理是因為還考量了什麼什麼什麼所以我們在考量這個什麼什麼什麼的時候對照了這個人數我們認為這個比較起來還是需要顧慮到另外一方面我可能作為一個立法委員而已我沒有辦法考慮到的部分我也不知道資訊的部分沒關係你回答我這個嘛阿怎麼會跟早上是一模一樣這樣的狀況
transcript.whisperx[608].start 16136.511
transcript.whisperx[608].end 16161.919
transcript.whisperx[608].text 發委我先把這個數據跟委員報告一下我們現在有3538人有2000多人是已經離境了現在在血型有705個就是還血型我們透過那個程序有三個月六個月這個程序以後我們有3538人嘛那已經出境有2736
transcript.whisperx[609].start 16163.766
transcript.whisperx[609].end 16168.108
transcript.whisperx[609].text 那諧星當中我們現在還有705個,還有97個是現在社會單位安置,大概數目是這樣,倒起來就是3538人。
transcript.whisperx[610].start 16175.592
transcript.whisperx[610].end 16182.434
transcript.whisperx[610].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[611].start 16200.501
transcript.whisperx[611].end 16218.248
transcript.whisperx[611].text 所以6個月以後就可以進行認定的部分?對,認定,如果假設是都沒有都找不到的話,那就變成會歸到這個,這個我們副政司這邊就會認定是無國籍的這個人嘛。那後面才會有,後面會有這個出收養的這些問題。
transcript.whisperx[612].start 16219.417
transcript.whisperx[612].end 16240.238
transcript.whisperx[612].text 那所以700個跟這個現在的你的那個24個啊等等的這個部分是這700個扣掉的24個裡面全部都是在查詢當中都是在那6個月裡面對這個還在進行當中的705個的部分那可能是有一些部分還有包括已經已經已經找不到的這些部分
transcript.whisperx[613].start 16240.663
transcript.whisperx[613].end 16250.627
transcript.whisperx[613].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案。四、審查內政部主管預算凍結書面報告案。四、審查內政部主管預算凍結書面報告案。四、審查內政部主管預算凍結書面報告案。四、審查內政部主管預算凍結書面報告案。四、審查內政部主管預算凍結書面報告案。四、審查內政部主管預算凍結書面報告案。四、審查內政
transcript.whisperx[614].start 16269.155
transcript.whisperx[614].end 16274.138
transcript.whisperx[614].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[615].start 16292.409
transcript.whisperx[615].end 16294.831
transcript.whisperx[615].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[616].start 16322.731
transcript.whisperx[616].end 16323.575
transcript.whisperx[616].text 審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[617].start 16327.608
transcript.whisperx[617].end 16337.053
transcript.whisperx[617].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[618].start 16354.463
transcript.whisperx[618].end 16362.426
transcript.whisperx[618].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。六、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[619].start 16380.834
transcript.whisperx[619].end 16383.455
transcript.whisperx[619].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[620].start 16405.694
transcript.whisperx[620].end 16411.018
transcript.whisperx[620].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[621].start 16433.736
transcript.whisperx[621].end 16450.192
transcript.whisperx[621].text 主席我非常感謝內政部,抱歉市長剛剛比較覺得說怎麼跟政府說的一模一樣,這就很奇怪了。我剛剛委員解釋程序就跟我們移民署講的是一樣的。好,抱歉。那這樣的話呢,我是不是可以主席我先保留一下下。
transcript.whisperx[622].start 16451.754
transcript.whisperx[622].end 16456.837
transcript.whisperx[622].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[623].start 16476.95
transcript.whisperx[623].end 16481.792
transcript.whisperx[623].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[624].start 16496.919
transcript.whisperx[624].end 16505.648
transcript.whisperx[624].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[625].start 16521.941
transcript.whisperx[625].end 16524.403
transcript.whisperx[625].text 審查內政部主管預算凍結書面報告案計4案。三、審查內政部主管預算凍結書面報告案計4案。四、審查內政部主管預算凍結書面報告案計4案。
transcript.whisperx[626].start 16551.801
transcript.whisperx[626].end 16560.126
transcript.whisperx[626].text 審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。六、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[627].start 16579.312
transcript.whisperx[627].end 16586.037
transcript.whisperx[627].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[628].start 16603.609
transcript.whisperx[628].end 16627.317
transcript.whisperx[628].text 審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。六、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。六、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管
transcript.whisperx[629].start 16632.159
transcript.whisperx[629].end 16647.903
transcript.whisperx[629].text 審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。六、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。六、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[630].start 16656.145
transcript.whisperx[630].end 16681.027
transcript.whisperx[630].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[631].start 16682.937
transcript.whisperx[631].end 16687.538
transcript.whisperx[631].text 審查內政部主管預算凍結書面報告案計1案。三、審查內政部主管預算凍結書面報告案計1案。四、審查內政部主管預算凍結書面報告案計1案。五、審查內政部主管預算凍結書面報告案計1案。六、審查內政部主管預算凍結書面報告案計1案。
transcript.whisperx[632].start 16706.502
transcript.whisperx[632].end 16714.209
transcript.whisperx[632].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[633].start 16732.566
transcript.whisperx[633].end 16741.052
transcript.whisperx[633].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[634].start 16760.553
transcript.whisperx[634].end 16773.581
transcript.whisperx[634].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管
transcript.whisperx[635].start 16789.111
transcript.whisperx[635].end 16811.204
transcript.whisperx[635].text 等人才來到臺灣從事這些高端的行業等等的。所以這邊表達支持院版的這個內容。好,謝謝我們李博弈。來,王美惠。主席,剛才我說擔心要考入。好,我請內政部來做說明。請我們內政部、我們次長來做說明。好,我先說明,等一下我再請副政司補充。
transcript.whisperx[636].start 16818.088
transcript.whisperx[636].end 16820.029
transcript.whisperx[636].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、
transcript.whisperx[637].start 16834.898
transcript.whisperx[637].end 16839.8
transcript.whisperx[637].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[638].start 16855.126
transcript.whisperx[638].end 16863.932
transcript.whisperx[638].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。六、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[639].start 16886.803
transcript.whisperx[639].end 16889.467
transcript.whisperx[639].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[640].start 16906.361
transcript.whisperx[640].end 16926.288
transcript.whisperx[640].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[641].start 16939.43
transcript.whisperx[641].end 16940.471
transcript.whisperx[641].text 提案修正第6條。
transcript.whisperx[642].start 16966.684
transcript.whisperx[642].end 16978.392
transcript.whisperx[642].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[643].start 16997.554
transcript.whisperx[643].end 17024.934
transcript.whisperx[643].text 好,那我們繼續進行第7條條文討論。請各位委員換到31頁。噢,請各位委員換到31頁。噢。噢。噢。噢。噢。噢。噢。噢。噢。噢。噢。噢。噢。噢。噢。噢。噢。噢。噢。噢。噢。噢。噢。噢。噢。噢。噢。噢。噢。噢。噢。噢。噢。噢。噢。噢。噢。噢。噢。噢。噢。噢。噢。噢。噢。噢。噢。噢。噢。噢。噢。噢。噢。噢。噢。噢。噢。噢。噢。噢。噢。噢。
transcript.whisperx[644].start 17027.632
transcript.whisperx[644].end 17041.704
transcript.whisperx[644].text 審查內政部函送國家住宅及都市更新中心111案。三、審查內政部函送國家住宅及都市更新中心111案。四、審查內政部函送國家住宅及都市更新中心111案。五、審查內政部函送國家住宅及都市更新中心111案。
transcript.whisperx[645].start 17061.03
transcript.whisperx[645].end 17069.76
transcript.whisperx[645].text 審查內政部主管預算凍結書面報告案計2案。三、審查內政部主管預算凍結書面報告案計2案。四、審查內政部主管預算凍結書面報告案計2案。
transcript.whisperx[646].start 17074.844
transcript.whisperx[646].end 17083.527
transcript.whisperx[646].text 我們要處理委員王定宇提案第49條第40頁。我們現在處理委員王定宇等提案第19條,大家放在40頁。
transcript.whisperx[647].start 17095.533
transcript.whisperx[647].end 17095.553
transcript.whisperx[647].text 處理20條。
transcript.whisperx[648].start 17130.218
transcript.whisperx[648].end 17152.071
transcript.whisperx[648].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管
transcript.whisperx[649].start 17157.634
transcript.whisperx[649].end 17161.937
transcript.whisperx[649].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[650].start 17173.226
transcript.whisperx[650].end 17183.274
transcript.whisperx[650].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[651].start 17202.19
transcript.whisperx[651].end 17203.21
transcript.whisperx[651].text 我們現在來處理增訂第6條之1
transcript.whisperx[652].start 17226.866
transcript.whisperx[652].end 17233.248
transcript.whisperx[652].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。五、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[653].start 17252.034
transcript.whisperx[653].end 17255.461
transcript.whisperx[653].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[654].start 17260.678
transcript.whisperx[654].end 17268.38
transcript.whisperx[654].text 三、審查內政部主管預算凍結書面報告案計6案。四、三、審查內政部主管預算凍結書面報告案計6案。四、三、審查內政部主管預算凍結書面報告案計6案。四、三、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[655].start 17289.466
transcript.whisperx[655].end 17310.318
transcript.whisperx[655].text 但有機會從這邊切入嗎?培育委員講的是我們現在的辦法是你要得獎之後才有這個機會那我們現在講的是我們要組隊來得獎一個是前一個是後所以希望可以把這個門經過跟國立法修法之後把這個門先寫進去那我們來研議一下怎麼寫進去好不好
transcript.whisperx[656].start 17311.331
transcript.whisperx[656].end 17334.552
transcript.whisperx[656].text 主席這次現在就是現在是要先做對去年中的不是年中之後才來處理的我們研究上對於這個這跟染財有關係我們希望這個人才你又特輸心的那是因為要有貢獻你才有輸心輸心是你們現有的辦法我們現在是要增修嘛就是說
transcript.whisperx[657].start 17335.233
transcript.whisperx[657].end 17343.058
transcript.whisperx[657].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[658].start 17361.946
transcript.whisperx[658].end 17368.372
transcript.whisperx[658].text 跟我們報告那個高專裡面已經有包含體育人才有含體育在內所以這個高級專業人才含體育人才在內是不是?你的報告裡面有提到嗎?我們第一個專業人才的認定標準
transcript.whisperx[659].start 17382.564
transcript.whisperx[659].end 17389.289
transcript.whisperx[659].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[660].start 17413.405
transcript.whisperx[660].end 17417.588
transcript.whisperx[660].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[661].start 17425.666
transcript.whisperx[661].end 17452.711
transcript.whisperx[661].text 立六條之一,我們就不予增訂,好不好?不予增訂,那我們的會議紀錄我們就寫說陳噴玉委員有這個,讓我們大家有這個共識,然後到時候有需要再修法,這樣就好了。好,那我們就針對我們委員所提出的我們列入公報紀錄,好不好?好,那我們現在宣讀協商結論,
transcript.whisperx[662].start 17458.467
transcript.whisperx[662].end 17482.845
transcript.whisperx[662].text 宣讀剛剛的協商結論委員蘇喬惠等、委員王帝穎等、委員林黛樺等提案第二條維持現行法條文。第四條照行政院提案條文通過。第五條照行政院提案條文通過。第六條照行政院提案條文通過。委員羅偉寧等18人及委員陳培穎等提案鎮定第六條之一不予鎮定。
transcript.whisperx[663].start 17484.229
transcript.whisperx[663].end 17495.379
transcript.whisperx[663].text 第7條肇行政院提案條文通過。第9條肇行政院提案條文通過。委員王定穎等提案第19,維持現行法條文。第20條肇行政院提案條文通過。宣讀完畢。
transcript.whisperx[664].start 17501.425
transcript.whisperx[664].end 17520.553
transcript.whisperx[664].text 請問各位委員,照剛才協商結論通過,請問有沒有異議?沒有,你就照樣通過。那本次審查,本次會議審查通過之條文相關法制用以授權本席以及議事人員爭議,
transcript.whisperx[665].start 17523.935
transcript.whisperx[665].end 17552.097
transcript.whisperx[665].text 作以下決議,討論事項國際法部份條文修正草案案以並案審查完盡,擬計審查報告提報院會討論。請問在場委員需不需要經過黨團協商?不用,不需黨團協商。本案直接院會討論時,有本席吳昭吉委員請名做補充說明。
transcript.whisperx[666].start 17554.425
transcript.whisperx[666].end 17561.272
transcript.whisperx[666].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。
transcript.whisperx[667].start 17574.648
transcript.whisperx[667].end 17591.094
transcript.whisperx[667].text 審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案計6案。四、審查內政部主管預算凍結書面報告案計6案。三、審查內政部主管預算凍結書面報告案。四、審查內政部主管預算凍結書面報告案。五、審查內政部主管預算凍結書面報告案。六、審查內政部主管預算凍結書面報告案。
transcript.whisperx[668].start 17602.081
transcript.whisperx[668].end 17616.928
transcript.whisperx[668].text 審查內政部主管預算凍結書面報告案計2案。三、審查內政部主管預算凍結書面報告案計2案。四、審查內政部主管預算凍結書面報告案計2案。三、審查內政部主管預算凍結書面報告案計2案。四、審查內政部主管預算凍結書面報告案。五、審查內政部主管預算凍結書面報告案。六、審查內政部主管預算凍結書面報告案。七、審查內政部主管預算凍結書面報告案。