iVOD / 16095

Field Value
IVOD_ID 16095
IVOD_URL https://ivod.ly.gov.tw/Play/Full/1M/16095
日期 2024-07-11
會議資料.會議代碼 黨團協商-2024070986
會議資料.會議代碼:str 立法院朝野黨團協商
會議資料.屆 11
會議資料.會期 1
會議資料.種類 黨團協商
會議資料.委員會代碼[0] 36
會議資料.委員會代碼:str[0] 司法及法制委員會
會議資料.標題 立法院朝野黨團協商
影片種類 Full
開始時間 2024-07-11T13:30:04+08:00
結束時間 2024-07-11T14:41:00+08:00
影片長度 01:10:56
支援功能[0] ai-transcript
video_url https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/8d241381c4f8c7fcc95e053c453ffb76d89c836a4986279528aaa308df9ea3739e487815fe80a3a55ea18f28b6918d91.mp4/playlist.m3u8
會議時間 2024-07-11T14:00:00+08:00
會議名稱 立法院朝野黨團協商(事由:一、併案協商(一)司法及法制委員會併案審查委員黃健豪等20人、委員徐巧芯等18人分別擬具「中華民國刑法第二百八十六條條文修正草案」、委員廖偉翔等19人擬具「中華民國刑法第七十七條及第二百七十二條之一條文修正草案」、委員王育敏等20人、委員楊瓊瓔等20人分別擬具「中華民國刑法第二百八十六條條文修正草案」、委員蘇清泉等28人擬具「中華民國刑法第二百八十六條及第二百八十六條之一條文修正草案」、國民黨黨團、委員柯志恩等19人、委員徐欣瑩等18人、委員陳超明等22人分別擬具「中華民國刑法第二百八十六條條文修正草案」等10案。(二)委員賴士葆等17人擬具「中華民國刑法第二百八十六條條文修正草案」。(三)委員陳菁徽等20人擬具「中華民國刑法第二百八十六條條文修正草案」案。(四)委員盧縣一等17人擬具「中華民國刑法第二百八十六條條文修正草案」。(五)委員許宇甄等22人擬具「中華民國刑法第二百八十六條條文修正草案」。(六)委員魯明哲等18人擬具「中華民國刑法第二百八十六條條文修正草案」。二、司法及法制、內政兩委員會併案審查委員蘇清泉等27人擬具「警察人員人事條例修正第三十五條條文及增訂附表三草案」、委員萬美玲等19人、委員謝龍介等19人、委員王鴻薇等29人、委員丁學忠等17人、委員顏寬恒等20人分別擬具「警察人員人事條例第三十五條條文修正草案」、委員鄭天財SraKacaw等18人擬具「警察人員人事條例部分條文修正草案」、委員林思銘等23人擬具「警察人員人事條例第三十五條條文修正草案」、委員伍麗華Saidhai.Tahovecahe等16人擬具「警察人員人事條例第三十五條及第三十六條條文修正草案」、委員王鴻薇等18人、委員游顥等38人、委員張智倫等17人分別擬具「警察人員人事條例第三十五條條文修正草案」等12案。)
委員名稱 完整會議
委員發言時間 13:30:04 - 14:41:00
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 1875.14721875
transcript.pyannote[0].end 1877.45909375
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 1880.66534375
transcript.pyannote[1].end 1882.62284375
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 1883.02784375
transcript.pyannote[2].end 1885.52534375
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 1885.86284375
transcript.pyannote[3].end 1887.22971875
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 1888.88346875
transcript.pyannote[4].end 1891.85346875
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 1891.92096875
transcript.pyannote[5].end 1893.43971875
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 1922.16096875
transcript.pyannote[6].end 1924.18596875
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 1924.57409375
transcript.pyannote[7].end 1926.98721875
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 1928.67471875
transcript.pyannote[8].end 1929.87284375
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 1930.32846875
transcript.pyannote[9].end 1930.81784375
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 1931.62784375
transcript.pyannote[10].end 1933.65284375
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 1934.63159375
transcript.pyannote[11].end 1936.50471875
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 1937.44971875
transcript.pyannote[12].end 1937.78721875
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 1938.46221875
transcript.pyannote[13].end 1939.55909375
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 1939.91346875
transcript.pyannote[14].end 1940.68971875
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 1942.46159375
transcript.pyannote[15].end 1942.84971875
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 1944.67221875
transcript.pyannote[16].end 1947.03471875
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 1950.93284375
transcript.pyannote[17].end 1951.75971875
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 1955.33721875
transcript.pyannote[18].end 1960.41659375
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 1962.39096875
transcript.pyannote[19].end 1962.81284375
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 1964.83784375
transcript.pyannote[20].end 1965.07409375
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 1967.11596875
transcript.pyannote[21].end 1968.46596875
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 1969.17471875
transcript.pyannote[22].end 1972.68471875
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 1973.29221875
transcript.pyannote[23].end 1976.16096875
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 1976.71784375
transcript.pyannote[24].end 1977.96659375
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 1980.59909375
transcript.pyannote[25].end 1982.20221875
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 1984.00784375
transcript.pyannote[26].end 1987.85534375
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 1989.52596875
transcript.pyannote[27].end 1991.07846875
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 1992.52971875
transcript.pyannote[28].end 1995.68534375
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 1995.98909375
transcript.pyannote[29].end 1996.93409375
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 1997.59221875
transcript.pyannote[30].end 1998.13221875
transcript.pyannote[31].speaker SPEAKER_02
transcript.pyannote[31].start 1999.12784375
transcript.pyannote[31].end 1999.81971875
transcript.pyannote[32].speaker SPEAKER_02
transcript.pyannote[32].start 2000.76471875
transcript.pyannote[32].end 2001.62534375
transcript.pyannote[33].speaker SPEAKER_02
transcript.pyannote[33].start 2002.33409375
transcript.pyannote[33].end 2004.52784375
transcript.pyannote[34].speaker SPEAKER_02
transcript.pyannote[34].start 2005.21971875
transcript.pyannote[34].end 2009.20221875
transcript.pyannote[35].speaker SPEAKER_02
transcript.pyannote[35].start 2009.59034375
transcript.pyannote[35].end 2014.41659375
transcript.pyannote[36].speaker SPEAKER_02
transcript.pyannote[36].start 2015.09159375
transcript.pyannote[36].end 2019.31034375
transcript.pyannote[37].speaker SPEAKER_02
transcript.pyannote[37].start 2019.73221875
transcript.pyannote[37].end 2020.08659375
transcript.pyannote[38].speaker SPEAKER_02
transcript.pyannote[38].start 2020.72784375
transcript.pyannote[38].end 2024.50784375
transcript.pyannote[39].speaker SPEAKER_02
transcript.pyannote[39].start 2025.13221875
transcript.pyannote[39].end 2027.95034375
transcript.pyannote[40].speaker SPEAKER_02
transcript.pyannote[40].start 2028.52409375
transcript.pyannote[40].end 2033.09721875
transcript.pyannote[41].speaker SPEAKER_02
transcript.pyannote[41].start 2034.00846875
transcript.pyannote[41].end 2040.16784375
transcript.pyannote[42].speaker SPEAKER_02
transcript.pyannote[42].start 2040.79221875
transcript.pyannote[42].end 2045.60159375
transcript.pyannote[43].speaker SPEAKER_02
transcript.pyannote[43].start 2046.36096875
transcript.pyannote[43].end 2050.27596875
transcript.pyannote[44].speaker SPEAKER_02
transcript.pyannote[44].start 2050.64721875
transcript.pyannote[44].end 2053.19534375
transcript.pyannote[45].speaker SPEAKER_02
transcript.pyannote[45].start 2053.70159375
transcript.pyannote[45].end 2057.75159375
transcript.pyannote[46].speaker SPEAKER_02
transcript.pyannote[46].start 2058.13971875
transcript.pyannote[46].end 2066.42534375
transcript.pyannote[47].speaker SPEAKER_02
transcript.pyannote[47].start 2066.67846875
transcript.pyannote[47].end 2071.01534375
transcript.pyannote[48].speaker SPEAKER_02
transcript.pyannote[48].start 2071.38659375
transcript.pyannote[48].end 2073.76596875
transcript.pyannote[49].speaker SPEAKER_02
transcript.pyannote[49].start 2074.33971875
transcript.pyannote[49].end 2078.05221875
transcript.pyannote[50].speaker SPEAKER_02
transcript.pyannote[50].start 2078.55846875
transcript.pyannote[50].end 2079.84096875
transcript.pyannote[51].speaker SPEAKER_02
transcript.pyannote[51].start 2080.53284375
transcript.pyannote[51].end 2085.24096875
transcript.pyannote[52].speaker SPEAKER_02
transcript.pyannote[52].start 2085.56159375
transcript.pyannote[52].end 2093.22284375
transcript.pyannote[53].speaker SPEAKER_02
transcript.pyannote[53].start 2093.66159375
transcript.pyannote[53].end 2097.49221875
transcript.pyannote[54].speaker SPEAKER_02
transcript.pyannote[54].start 2097.55971875
transcript.pyannote[54].end 2099.56784375
transcript.pyannote[55].speaker SPEAKER_02
transcript.pyannote[55].start 2101.00221875
transcript.pyannote[55].end 2101.87971875
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 2104.02284375
transcript.pyannote[56].end 2107.16159375
transcript.pyannote[57].speaker SPEAKER_01
transcript.pyannote[57].start 2107.41471875
transcript.pyannote[57].end 2126.02784375
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 2126.14596875
transcript.pyannote[58].end 2129.82471875
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 2130.12846875
transcript.pyannote[59].end 2132.10284375
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 2132.50784375
transcript.pyannote[60].end 2137.95846875
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 2138.29596875
transcript.pyannote[61].end 2143.00409375
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 2143.34159375
transcript.pyannote[62].end 2166.10596875
transcript.pyannote[63].speaker SPEAKER_01
transcript.pyannote[63].start 2166.44346875
transcript.pyannote[63].end 2168.09721875
transcript.pyannote[64].speaker SPEAKER_01
transcript.pyannote[64].start 2169.05909375
transcript.pyannote[64].end 2171.94471875
transcript.pyannote[65].speaker SPEAKER_01
transcript.pyannote[65].start 2172.21471875
transcript.pyannote[65].end 2176.06221875
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 2176.50096875
transcript.pyannote[66].end 2176.68659375
transcript.pyannote[67].speaker SPEAKER_01
transcript.pyannote[67].start 2177.07471875
transcript.pyannote[67].end 2177.15909375
transcript.pyannote[68].speaker SPEAKER_02
transcript.pyannote[68].start 2177.15909375
transcript.pyannote[68].end 2177.85096875
transcript.pyannote[69].speaker SPEAKER_01
transcript.pyannote[69].start 2177.20971875
transcript.pyannote[69].end 2179.30221875
transcript.pyannote[70].speaker SPEAKER_02
transcript.pyannote[70].start 2179.47096875
transcript.pyannote[70].end 2182.96409375
transcript.pyannote[71].speaker SPEAKER_02
transcript.pyannote[71].start 2183.63909375
transcript.pyannote[71].end 2188.11096875
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 2186.57534375
transcript.pyannote[72].end 2187.08159375
transcript.pyannote[73].speaker SPEAKER_02
transcript.pyannote[73].start 2188.80284375
transcript.pyannote[73].end 2189.51159375
transcript.pyannote[74].speaker SPEAKER_02
transcript.pyannote[74].start 2189.73096875
transcript.pyannote[74].end 2191.18221875
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 2191.97534375
transcript.pyannote[75].end 2195.82284375
transcript.pyannote[76].speaker SPEAKER_02
transcript.pyannote[76].start 2192.80221875
transcript.pyannote[76].end 2195.87346875
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 2195.87346875
transcript.pyannote[77].end 2195.92409375
transcript.pyannote[78].speaker SPEAKER_02
transcript.pyannote[78].start 2195.92409375
transcript.pyannote[78].end 2195.97471875
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 2195.97471875
transcript.pyannote[79].end 2196.76784375
transcript.pyannote[80].speaker SPEAKER_02
transcript.pyannote[80].start 2196.41346875
transcript.pyannote[80].end 2197.91534375
transcript.pyannote[81].speaker SPEAKER_01
transcript.pyannote[81].start 2197.66221875
transcript.pyannote[81].end 2198.05034375
transcript.pyannote[82].speaker SPEAKER_02
transcript.pyannote[82].start 2198.05034375
transcript.pyannote[82].end 2198.08409375
transcript.pyannote[83].speaker SPEAKER_02
transcript.pyannote[83].start 2198.11784375
transcript.pyannote[83].end 2201.99909375
transcript.pyannote[84].speaker SPEAKER_02
transcript.pyannote[84].start 2202.84284375
transcript.pyannote[84].end 2205.42471875
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 2205.34034375
transcript.pyannote[85].end 2205.69471875
transcript.pyannote[86].speaker SPEAKER_02
transcript.pyannote[86].start 2205.66096875
transcript.pyannote[86].end 2207.46659375
transcript.pyannote[87].speaker SPEAKER_02
transcript.pyannote[87].start 2207.56784375
transcript.pyannote[87].end 2209.52534375
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 2209.62659375
transcript.pyannote[88].end 2210.01471875
transcript.pyannote[89].speaker SPEAKER_02
transcript.pyannote[89].start 2210.01471875
transcript.pyannote[89].end 2210.53784375
transcript.pyannote[90].speaker SPEAKER_02
transcript.pyannote[90].start 2210.97659375
transcript.pyannote[90].end 2213.81159375
transcript.pyannote[91].speaker SPEAKER_02
transcript.pyannote[91].start 2214.35159375
transcript.pyannote[91].end 2218.01346875
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 2218.28346875
transcript.pyannote[92].end 2218.62096875
transcript.pyannote[93].speaker SPEAKER_02
transcript.pyannote[93].start 2218.84034375
transcript.pyannote[93].end 2220.84846875
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 2221.08471875
transcript.pyannote[94].end 2221.75971875
transcript.pyannote[95].speaker SPEAKER_02
transcript.pyannote[95].start 2221.55721875
transcript.pyannote[95].end 2224.69596875
transcript.pyannote[96].speaker SPEAKER_02
transcript.pyannote[96].start 2225.20221875
transcript.pyannote[96].end 2230.07909375
transcript.pyannote[97].speaker SPEAKER_02
transcript.pyannote[97].start 2230.16346875
transcript.pyannote[97].end 2269.09409375
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 2233.50471875
transcript.pyannote[98].end 2233.90971875
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 2235.73221875
transcript.pyannote[99].end 2236.08659375
transcript.pyannote[100].speaker SPEAKER_01
transcript.pyannote[100].start 2236.86284375
transcript.pyannote[100].end 2239.07346875
transcript.pyannote[101].speaker SPEAKER_01
transcript.pyannote[101].start 2241.45284375
transcript.pyannote[101].end 2242.75221875
transcript.pyannote[102].speaker SPEAKER_01
transcript.pyannote[102].start 2260.48784375
transcript.pyannote[102].end 2260.55534375
transcript.pyannote[103].speaker SPEAKER_01
transcript.pyannote[103].start 2260.74096875
transcript.pyannote[103].end 2260.77471875
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 2260.77471875
transcript.pyannote[104].end 2260.82534375
transcript.pyannote[105].speaker SPEAKER_02
transcript.pyannote[105].start 2269.76909375
transcript.pyannote[105].end 2270.30909375
transcript.pyannote[106].speaker SPEAKER_02
transcript.pyannote[106].start 2271.08534375
transcript.pyannote[106].end 2272.94159375
transcript.pyannote[107].speaker SPEAKER_02
transcript.pyannote[107].start 2273.81909375
transcript.pyannote[107].end 2275.06784375
transcript.pyannote[108].speaker SPEAKER_02
transcript.pyannote[108].start 2275.67534375
transcript.pyannote[108].end 2277.02534375
transcript.pyannote[109].speaker SPEAKER_02
transcript.pyannote[109].start 2277.54846875
transcript.pyannote[109].end 2279.05034375
transcript.pyannote[110].speaker SPEAKER_01
transcript.pyannote[110].start 2279.05034375
transcript.pyannote[110].end 2279.06721875
transcript.pyannote[111].speaker SPEAKER_02
transcript.pyannote[111].start 2279.06721875
transcript.pyannote[111].end 2279.08409375
transcript.pyannote[112].speaker SPEAKER_01
transcript.pyannote[112].start 2279.08409375
transcript.pyannote[112].end 2279.25284375
transcript.pyannote[113].speaker SPEAKER_02
transcript.pyannote[113].start 2279.25284375
transcript.pyannote[113].end 2282.37471875
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 2282.37471875
transcript.pyannote[114].end 2282.74596875
transcript.pyannote[115].speaker SPEAKER_02
transcript.pyannote[115].start 2282.83034375
transcript.pyannote[115].end 2283.23534375
transcript.pyannote[116].speaker SPEAKER_02
transcript.pyannote[116].start 2283.57284375
transcript.pyannote[116].end 2290.15409375
transcript.pyannote[117].speaker SPEAKER_02
transcript.pyannote[117].start 2290.77846875
transcript.pyannote[117].end 2297.32596875
transcript.pyannote[118].speaker SPEAKER_00
transcript.pyannote[118].start 2294.23784375
transcript.pyannote[118].end 2294.32221875
transcript.pyannote[119].speaker SPEAKER_02
transcript.pyannote[119].start 2297.47784375
transcript.pyannote[119].end 2320.52909375
transcript.pyannote[120].speaker SPEAKER_01
transcript.pyannote[120].start 2309.49284375
transcript.pyannote[120].end 2309.81346875
transcript.pyannote[121].speaker SPEAKER_00
transcript.pyannote[121].start 2309.81346875
transcript.pyannote[121].end 2309.93159375
transcript.pyannote[122].speaker SPEAKER_00
transcript.pyannote[122].start 2312.20971875
transcript.pyannote[122].end 2312.26034375
transcript.pyannote[123].speaker SPEAKER_01
transcript.pyannote[123].start 2312.26034375
transcript.pyannote[123].end 2312.63159375
transcript.pyannote[124].speaker SPEAKER_01
transcript.pyannote[124].start 2320.44471875
transcript.pyannote[124].end 2320.90034375
transcript.pyannote[125].speaker SPEAKER_02
transcript.pyannote[125].start 2321.11971875
transcript.pyannote[125].end 2328.25784375
transcript.pyannote[126].speaker SPEAKER_01
transcript.pyannote[126].start 2328.13971875
transcript.pyannote[126].end 2328.52784375
transcript.pyannote[127].speaker SPEAKER_02
transcript.pyannote[127].start 2328.46034375
transcript.pyannote[127].end 2339.58096875
transcript.pyannote[128].speaker SPEAKER_02
transcript.pyannote[128].start 2340.12096875
transcript.pyannote[128].end 2365.58534375
transcript.pyannote[129].speaker SPEAKER_00
transcript.pyannote[129].start 2352.54096875
transcript.pyannote[129].end 2352.62534375
transcript.pyannote[130].speaker SPEAKER_00
transcript.pyannote[130].start 2352.81096875
transcript.pyannote[130].end 2352.89534375
transcript.pyannote[131].speaker SPEAKER_00
transcript.pyannote[131].start 2356.67534375
transcript.pyannote[131].end 2356.69221875
transcript.pyannote[132].speaker SPEAKER_01
transcript.pyannote[132].start 2356.69221875
transcript.pyannote[132].end 2357.02971875
transcript.pyannote[133].speaker SPEAKER_01
transcript.pyannote[133].start 2358.58221875
transcript.pyannote[133].end 2358.80159375
transcript.pyannote[134].speaker SPEAKER_01
transcript.pyannote[134].start 2362.26096875
transcript.pyannote[134].end 2362.34534375
transcript.pyannote[135].speaker SPEAKER_01
transcript.pyannote[135].start 2363.98221875
transcript.pyannote[135].end 2367.76221875
transcript.pyannote[136].speaker SPEAKER_02
transcript.pyannote[136].start 2366.81721875
transcript.pyannote[136].end 2367.52596875
transcript.pyannote[137].speaker SPEAKER_02
transcript.pyannote[137].start 2368.06596875
transcript.pyannote[137].end 2377.22909375
transcript.pyannote[138].speaker SPEAKER_02
transcript.pyannote[138].start 2377.56659375
transcript.pyannote[138].end 2378.89971875
transcript.pyannote[139].speaker SPEAKER_02
transcript.pyannote[139].start 2379.25409375
transcript.pyannote[139].end 2403.72284375
transcript.pyannote[140].speaker SPEAKER_01
transcript.pyannote[140].start 2403.68909375
transcript.pyannote[140].end 2403.90846875
transcript.pyannote[141].speaker SPEAKER_02
transcript.pyannote[141].start 2403.90846875
transcript.pyannote[141].end 2408.39721875
transcript.pyannote[142].speaker SPEAKER_02
transcript.pyannote[142].start 2408.58284375
transcript.pyannote[142].end 2409.88221875
transcript.pyannote[143].speaker SPEAKER_01
transcript.pyannote[143].start 2410.25346875
transcript.pyannote[143].end 2410.57409375
transcript.pyannote[144].speaker SPEAKER_01
transcript.pyannote[144].start 2411.13096875
transcript.pyannote[144].end 2411.56971875
transcript.pyannote[145].speaker SPEAKER_01
transcript.pyannote[145].start 2411.77221875
transcript.pyannote[145].end 2417.71221875
transcript.pyannote[146].speaker SPEAKER_01
transcript.pyannote[146].start 2418.03284375
transcript.pyannote[146].end 2418.80909375
transcript.pyannote[147].speaker SPEAKER_01
transcript.pyannote[147].start 2419.18034375
transcript.pyannote[147].end 2426.04846875
transcript.pyannote[148].speaker SPEAKER_01
transcript.pyannote[148].start 2426.26784375
transcript.pyannote[148].end 2430.04784375
transcript.pyannote[149].speaker SPEAKER_01
transcript.pyannote[149].start 2430.33471875
transcript.pyannote[149].end 2437.48971875
transcript.pyannote[150].speaker SPEAKER_01
transcript.pyannote[150].start 2437.99596875
transcript.pyannote[150].end 2442.68721875
transcript.pyannote[151].speaker SPEAKER_01
transcript.pyannote[151].start 2443.15971875
transcript.pyannote[151].end 2446.18034375
transcript.pyannote[152].speaker SPEAKER_01
transcript.pyannote[152].start 2446.99034375
transcript.pyannote[152].end 2457.65534375
transcript.pyannote[153].speaker SPEAKER_01
transcript.pyannote[153].start 2458.12784375
transcript.pyannote[153].end 2468.59034375
transcript.pyannote[154].speaker SPEAKER_01
transcript.pyannote[154].start 2469.09659375
transcript.pyannote[154].end 2486.47784375
transcript.pyannote[155].speaker SPEAKER_01
transcript.pyannote[155].start 2486.74784375
transcript.pyannote[155].end 2488.01346875
transcript.pyannote[156].speaker SPEAKER_01
transcript.pyannote[156].start 2488.43534375
transcript.pyannote[156].end 2488.65471875
transcript.pyannote[157].speaker SPEAKER_01
transcript.pyannote[157].start 2488.73909375
transcript.pyannote[157].end 2491.40534375
transcript.pyannote[158].speaker SPEAKER_01
transcript.pyannote[158].start 2491.74284375
transcript.pyannote[158].end 2494.25721875
transcript.pyannote[159].speaker SPEAKER_01
transcript.pyannote[159].start 2494.69596875
transcript.pyannote[159].end 2496.13034375
transcript.pyannote[160].speaker SPEAKER_01
transcript.pyannote[160].start 2496.50159375
transcript.pyannote[160].end 2497.39596875
transcript.pyannote[161].speaker SPEAKER_01
transcript.pyannote[161].start 2497.61534375
transcript.pyannote[161].end 2500.02846875
transcript.pyannote[162].speaker SPEAKER_00
transcript.pyannote[162].start 2497.93596875
transcript.pyannote[162].end 2498.05409375
transcript.pyannote[163].speaker SPEAKER_01
transcript.pyannote[163].start 2503.70721875
transcript.pyannote[163].end 2508.78659375
transcript.pyannote[164].speaker SPEAKER_01
transcript.pyannote[164].start 2509.05659375
transcript.pyannote[164].end 2512.53284375
transcript.pyannote[165].speaker SPEAKER_01
transcript.pyannote[165].start 2519.90721875
transcript.pyannote[165].end 2529.07034375
transcript.pyannote[166].speaker SPEAKER_01
transcript.pyannote[166].start 2529.59346875
transcript.pyannote[166].end 2530.42034375
transcript.pyannote[167].speaker SPEAKER_01
transcript.pyannote[167].start 2530.65659375
transcript.pyannote[167].end 2534.57159375
transcript.pyannote[168].speaker SPEAKER_01
transcript.pyannote[168].start 2534.99346875
transcript.pyannote[168].end 2535.76971875
transcript.pyannote[169].speaker SPEAKER_01
transcript.pyannote[169].start 2535.93846875
transcript.pyannote[169].end 2539.46534375
transcript.pyannote[170].speaker SPEAKER_01
transcript.pyannote[170].start 2539.92096875
transcript.pyannote[170].end 2543.92034375
transcript.pyannote[171].speaker SPEAKER_01
transcript.pyannote[171].start 2544.22409375
transcript.pyannote[171].end 2546.43471875
transcript.pyannote[172].speaker SPEAKER_01
transcript.pyannote[172].start 2546.73846875
transcript.pyannote[172].end 2547.24471875
transcript.pyannote[173].speaker SPEAKER_01
transcript.pyannote[173].start 2547.51471875
transcript.pyannote[173].end 2551.22721875
transcript.pyannote[174].speaker SPEAKER_01
transcript.pyannote[174].start 2551.58159375
transcript.pyannote[174].end 2555.73284375
transcript.pyannote[175].speaker SPEAKER_01
transcript.pyannote[175].start 2555.88471875
transcript.pyannote[175].end 2559.71534375
transcript.pyannote[176].speaker SPEAKER_01
transcript.pyannote[176].start 2560.00221875
transcript.pyannote[176].end 2562.78659375
transcript.pyannote[177].speaker SPEAKER_01
transcript.pyannote[177].start 2563.14096875
transcript.pyannote[177].end 2565.57096875
transcript.pyannote[178].speaker SPEAKER_01
transcript.pyannote[178].start 2565.63846875
transcript.pyannote[178].end 2570.58284375
transcript.pyannote[179].speaker SPEAKER_01
transcript.pyannote[179].start 2570.97096875
transcript.pyannote[179].end 2572.15221875
transcript.pyannote[180].speaker SPEAKER_01
transcript.pyannote[180].start 2572.47284375
transcript.pyannote[180].end 2573.94096875
transcript.pyannote[181].speaker SPEAKER_01
transcript.pyannote[181].start 2574.24471875
transcript.pyannote[181].end 2580.35346875
transcript.pyannote[182].speaker SPEAKER_01
transcript.pyannote[182].start 2580.97784375
transcript.pyannote[182].end 2581.31534375
transcript.pyannote[183].speaker SPEAKER_01
transcript.pyannote[183].start 2581.56846875
transcript.pyannote[183].end 2582.80034375
transcript.pyannote[184].speaker SPEAKER_01
transcript.pyannote[184].start 2583.55971875
transcript.pyannote[184].end 2585.06159375
transcript.pyannote[185].speaker SPEAKER_01
transcript.pyannote[185].start 2585.33159375
transcript.pyannote[185].end 2591.64284375
transcript.pyannote[186].speaker SPEAKER_01
transcript.pyannote[186].start 2592.21659375
transcript.pyannote[186].end 2598.88221875
transcript.pyannote[187].speaker SPEAKER_01
transcript.pyannote[187].start 2599.32096875
transcript.pyannote[187].end 2600.50221875
transcript.pyannote[188].speaker SPEAKER_01
transcript.pyannote[188].start 2600.78909375
transcript.pyannote[188].end 2608.19721875
transcript.pyannote[189].speaker SPEAKER_01
transcript.pyannote[189].start 2608.38284375
transcript.pyannote[189].end 2608.73721875
transcript.pyannote[190].speaker SPEAKER_01
transcript.pyannote[190].start 2609.05784375
transcript.pyannote[190].end 2631.55221875
transcript.pyannote[191].speaker SPEAKER_01
transcript.pyannote[191].start 2631.77159375
transcript.pyannote[191].end 2638.72409375
transcript.pyannote[192].speaker SPEAKER_01
transcript.pyannote[192].start 2638.94346875
transcript.pyannote[192].end 2640.88409375
transcript.pyannote[193].speaker SPEAKER_01
transcript.pyannote[193].start 2641.28909375
transcript.pyannote[193].end 2655.81846875
transcript.pyannote[194].speaker SPEAKER_01
transcript.pyannote[194].start 2656.13909375
transcript.pyannote[194].end 2661.04971875
transcript.pyannote[195].speaker SPEAKER_01
transcript.pyannote[195].start 2661.82596875
transcript.pyannote[195].end 2667.00659375
transcript.pyannote[196].speaker SPEAKER_01
transcript.pyannote[196].start 2667.24284375
transcript.pyannote[196].end 2676.89534375
transcript.pyannote[197].speaker SPEAKER_01
transcript.pyannote[197].start 2677.21596875
transcript.pyannote[197].end 2681.40096875
transcript.pyannote[198].speaker SPEAKER_01
transcript.pyannote[198].start 2681.65409375
transcript.pyannote[198].end 2682.63284375
transcript.pyannote[199].speaker SPEAKER_01
transcript.pyannote[199].start 2683.02096875
transcript.pyannote[199].end 2689.60221875
transcript.pyannote[200].speaker SPEAKER_01
transcript.pyannote[200].start 2690.17596875
transcript.pyannote[200].end 2695.57596875
transcript.pyannote[201].speaker SPEAKER_01
transcript.pyannote[201].start 2695.99784375
transcript.pyannote[201].end 2697.41534375
transcript.pyannote[202].speaker SPEAKER_01
transcript.pyannote[202].start 2697.73596875
transcript.pyannote[202].end 2702.32596875
transcript.pyannote[203].speaker SPEAKER_01
transcript.pyannote[203].start 2703.03471875
transcript.pyannote[203].end 2709.14346875
transcript.pyannote[204].speaker SPEAKER_01
transcript.pyannote[204].start 2709.53159375
transcript.pyannote[204].end 2710.52721875
transcript.pyannote[205].speaker SPEAKER_01
transcript.pyannote[205].start 2710.76346875
transcript.pyannote[205].end 2718.45846875
transcript.pyannote[206].speaker SPEAKER_01
transcript.pyannote[206].start 2718.93096875
transcript.pyannote[206].end 2727.40221875
transcript.pyannote[207].speaker SPEAKER_01
transcript.pyannote[207].start 2728.16159375
transcript.pyannote[207].end 2730.01784375
transcript.pyannote[208].speaker SPEAKER_01
transcript.pyannote[208].start 2730.50721875
transcript.pyannote[208].end 2732.61659375
transcript.pyannote[209].speaker SPEAKER_01
transcript.pyannote[209].start 2733.24096875
transcript.pyannote[209].end 2735.99159375
transcript.pyannote[210].speaker SPEAKER_01
transcript.pyannote[210].start 2736.21096875
transcript.pyannote[210].end 2738.03346875
transcript.pyannote[211].speaker SPEAKER_01
transcript.pyannote[211].start 2738.40471875
transcript.pyannote[211].end 2739.01221875
transcript.pyannote[212].speaker SPEAKER_01
transcript.pyannote[212].start 2739.14721875
transcript.pyannote[212].end 2742.01596875
transcript.pyannote[213].speaker SPEAKER_01
transcript.pyannote[213].start 2742.65721875
transcript.pyannote[213].end 2743.01159375
transcript.pyannote[214].speaker SPEAKER_01
transcript.pyannote[214].start 2743.51784375
transcript.pyannote[214].end 2753.28846875
transcript.pyannote[215].speaker SPEAKER_01
transcript.pyannote[215].start 2753.44034375
transcript.pyannote[215].end 2757.33846875
transcript.pyannote[216].speaker SPEAKER_01
transcript.pyannote[216].start 2757.79409375
transcript.pyannote[216].end 2759.49846875
transcript.pyannote[217].speaker SPEAKER_01
transcript.pyannote[217].start 2760.08909375
transcript.pyannote[217].end 2765.45534375
transcript.pyannote[218].speaker SPEAKER_01
transcript.pyannote[218].start 2765.65784375
transcript.pyannote[218].end 2766.72096875
transcript.pyannote[219].speaker SPEAKER_01
transcript.pyannote[219].start 2767.17659375
transcript.pyannote[219].end 2772.74534375
transcript.pyannote[220].speaker SPEAKER_01
transcript.pyannote[220].start 2773.20096875
transcript.pyannote[220].end 2775.73221875
transcript.pyannote[221].speaker SPEAKER_01
transcript.pyannote[221].start 2775.91784375
transcript.pyannote[221].end 2780.77784375
transcript.pyannote[222].speaker SPEAKER_01
transcript.pyannote[222].start 2781.13221875
transcript.pyannote[222].end 2781.62159375
transcript.pyannote[223].speaker SPEAKER_01
transcript.pyannote[223].start 2782.06034375
transcript.pyannote[223].end 2783.83221875
transcript.pyannote[224].speaker SPEAKER_01
transcript.pyannote[224].start 2784.23721875
transcript.pyannote[224].end 2791.84784375
transcript.pyannote[225].speaker SPEAKER_01
transcript.pyannote[225].start 2792.05034375
transcript.pyannote[225].end 2797.04534375
transcript.pyannote[226].speaker SPEAKER_01
transcript.pyannote[226].start 2797.41659375
transcript.pyannote[226].end 2799.01971875
transcript.pyannote[227].speaker SPEAKER_01
transcript.pyannote[227].start 2799.27284375
transcript.pyannote[227].end 2802.56346875
transcript.pyannote[228].speaker SPEAKER_01
transcript.pyannote[228].start 2803.13721875
transcript.pyannote[228].end 2803.62659375
transcript.pyannote[229].speaker SPEAKER_01
transcript.pyannote[229].start 2804.79096875
transcript.pyannote[229].end 2809.07721875
transcript.pyannote[230].speaker SPEAKER_01
transcript.pyannote[230].start 2809.36409375
transcript.pyannote[230].end 2810.15721875
transcript.pyannote[231].speaker SPEAKER_01
transcript.pyannote[231].start 2810.51159375
transcript.pyannote[231].end 2813.32971875
transcript.pyannote[232].speaker SPEAKER_01
transcript.pyannote[232].start 2813.85284375
transcript.pyannote[232].end 2814.42659375
transcript.pyannote[233].speaker SPEAKER_01
transcript.pyannote[233].start 2815.27034375
transcript.pyannote[233].end 2819.18534375
transcript.pyannote[234].speaker SPEAKER_01
transcript.pyannote[234].start 2819.28659375
transcript.pyannote[234].end 2823.85971875
transcript.pyannote[235].speaker SPEAKER_01
transcript.pyannote[235].start 2824.41659375
transcript.pyannote[235].end 2830.32284375
transcript.pyannote[236].speaker SPEAKER_01
transcript.pyannote[236].start 2830.64346875
transcript.pyannote[236].end 2838.74346875
transcript.pyannote[237].speaker SPEAKER_01
transcript.pyannote[237].start 2838.91221875
transcript.pyannote[237].end 2839.55346875
transcript.pyannote[238].speaker SPEAKER_01
transcript.pyannote[238].start 2840.04284375
transcript.pyannote[238].end 2842.42221875
transcript.pyannote[239].speaker SPEAKER_01
transcript.pyannote[239].start 2843.06346875
transcript.pyannote[239].end 2846.82659375
transcript.pyannote[240].speaker SPEAKER_01
transcript.pyannote[240].start 2847.04596875
transcript.pyannote[240].end 2847.80534375
transcript.pyannote[241].speaker SPEAKER_01
transcript.pyannote[241].start 2848.22721875
transcript.pyannote[241].end 2850.87659375
transcript.pyannote[242].speaker SPEAKER_01
transcript.pyannote[242].start 2851.18034375
transcript.pyannote[242].end 2854.77471875
transcript.pyannote[243].speaker SPEAKER_01
transcript.pyannote[243].start 2855.02784375
transcript.pyannote[243].end 2856.15846875
transcript.pyannote[244].speaker SPEAKER_01
transcript.pyannote[244].start 2856.51284375
transcript.pyannote[244].end 2865.35534375
transcript.pyannote[245].speaker SPEAKER_01
transcript.pyannote[245].start 2865.55784375
transcript.pyannote[245].end 2869.87784375
transcript.pyannote[246].speaker SPEAKER_01
transcript.pyannote[246].start 2870.26596875
transcript.pyannote[246].end 2872.56096875
transcript.pyannote[247].speaker SPEAKER_01
transcript.pyannote[247].start 2873.11784375
transcript.pyannote[247].end 2875.21034375
transcript.pyannote[248].speaker SPEAKER_01
transcript.pyannote[248].start 2875.63221875
transcript.pyannote[248].end 2876.02034375
transcript.pyannote[249].speaker SPEAKER_01
transcript.pyannote[249].start 2876.50971875
transcript.pyannote[249].end 2881.74096875
transcript.pyannote[250].speaker SPEAKER_01
transcript.pyannote[250].start 2882.21346875
transcript.pyannote[250].end 2888.67659375
transcript.pyannote[251].speaker SPEAKER_01
transcript.pyannote[251].start 2888.76096875
transcript.pyannote[251].end 2893.77284375
transcript.pyannote[252].speaker SPEAKER_01
transcript.pyannote[252].start 2893.99221875
transcript.pyannote[252].end 2907.08721875
transcript.pyannote[253].speaker SPEAKER_01
transcript.pyannote[253].start 2907.32346875
transcript.pyannote[253].end 2907.82971875
transcript.pyannote[254].speaker SPEAKER_01
transcript.pyannote[254].start 2907.93096875
transcript.pyannote[254].end 2912.95971875
transcript.pyannote[255].speaker SPEAKER_01
transcript.pyannote[255].start 2913.06096875
transcript.pyannote[255].end 2913.19596875
transcript.pyannote[256].speaker SPEAKER_01
transcript.pyannote[256].start 2913.68534375
transcript.pyannote[256].end 2914.05659375
transcript.pyannote[257].speaker SPEAKER_01
transcript.pyannote[257].start 2914.34346875
transcript.pyannote[257].end 2919.50721875
transcript.pyannote[258].speaker SPEAKER_01
transcript.pyannote[258].start 2919.76034375
transcript.pyannote[258].end 2921.88659375
transcript.pyannote[259].speaker SPEAKER_01
transcript.pyannote[259].start 2922.24096875
transcript.pyannote[259].end 2926.03784375
transcript.pyannote[260].speaker SPEAKER_01
transcript.pyannote[260].start 2926.32471875
transcript.pyannote[260].end 2927.37096875
transcript.pyannote[261].speaker SPEAKER_01
transcript.pyannote[261].start 2927.59034375
transcript.pyannote[261].end 2928.28221875
transcript.pyannote[262].speaker SPEAKER_01
transcript.pyannote[262].start 2928.55221875
transcript.pyannote[262].end 2932.88909375
transcript.pyannote[263].speaker SPEAKER_01
transcript.pyannote[263].start 2933.12534375
transcript.pyannote[263].end 2934.49221875
transcript.pyannote[264].speaker SPEAKER_01
transcript.pyannote[264].start 2934.69471875
transcript.pyannote[264].end 2935.75784375
transcript.pyannote[265].speaker SPEAKER_01
transcript.pyannote[265].start 2936.09534375
transcript.pyannote[265].end 2937.22596875
transcript.pyannote[266].speaker SPEAKER_01
transcript.pyannote[266].start 2937.56346875
transcript.pyannote[266].end 2955.63659375
transcript.pyannote[267].speaker SPEAKER_01
transcript.pyannote[267].start 2955.88971875
transcript.pyannote[267].end 2956.83471875
transcript.pyannote[268].speaker SPEAKER_01
transcript.pyannote[268].start 2957.29034375
transcript.pyannote[268].end 2957.77971875
transcript.pyannote[269].speaker SPEAKER_01
transcript.pyannote[269].start 2958.33659375
transcript.pyannote[269].end 2959.38284375
transcript.pyannote[270].speaker SPEAKER_01
transcript.pyannote[270].start 2959.50096875
transcript.pyannote[270].end 2960.73284375
transcript.pyannote[271].speaker SPEAKER_01
transcript.pyannote[271].start 2960.76659375
transcript.pyannote[271].end 2961.88034375
transcript.pyannote[272].speaker SPEAKER_01
transcript.pyannote[272].start 2962.11659375
transcript.pyannote[272].end 2965.15409375
transcript.pyannote[273].speaker SPEAKER_01
transcript.pyannote[273].start 2965.79534375
transcript.pyannote[273].end 2971.27971875
transcript.pyannote[274].speaker SPEAKER_01
transcript.pyannote[274].start 2972.00534375
transcript.pyannote[274].end 2978.60346875
transcript.pyannote[275].speaker SPEAKER_01
transcript.pyannote[275].start 2978.89034375
transcript.pyannote[275].end 2981.43846875
transcript.pyannote[276].speaker SPEAKER_01
transcript.pyannote[276].start 2981.57346875
transcript.pyannote[276].end 2982.16409375
transcript.pyannote[277].speaker SPEAKER_01
transcript.pyannote[277].start 2982.55221875
transcript.pyannote[277].end 2984.12159375
transcript.pyannote[278].speaker SPEAKER_01
transcript.pyannote[278].start 2984.22284375
transcript.pyannote[278].end 2995.09034375
transcript.pyannote[279].speaker SPEAKER_01
transcript.pyannote[279].start 2995.51221875
transcript.pyannote[279].end 2998.02659375
transcript.pyannote[280].speaker SPEAKER_01
transcript.pyannote[280].start 2998.04346875
transcript.pyannote[280].end 3007.40909375
transcript.pyannote[281].speaker SPEAKER_02
transcript.pyannote[281].start 3008.67471875
transcript.pyannote[281].end 3017.21346875
transcript.pyannote[282].speaker SPEAKER_02
transcript.pyannote[282].start 3017.75346875
transcript.pyannote[282].end 3022.42784375
transcript.pyannote[283].speaker SPEAKER_02
transcript.pyannote[283].start 3022.49534375
transcript.pyannote[283].end 3026.34284375
transcript.pyannote[284].speaker SPEAKER_02
transcript.pyannote[284].start 3027.01784375
transcript.pyannote[284].end 3029.29596875
transcript.pyannote[285].speaker SPEAKER_02
transcript.pyannote[285].start 3029.90346875
transcript.pyannote[285].end 3030.59534375
transcript.pyannote[286].speaker SPEAKER_02
transcript.pyannote[286].start 3031.35471875
transcript.pyannote[286].end 3035.45534375
transcript.pyannote[287].speaker SPEAKER_02
transcript.pyannote[287].start 3035.70846875
transcript.pyannote[287].end 3038.74596875
transcript.pyannote[288].speaker SPEAKER_02
transcript.pyannote[288].start 3038.81346875
transcript.pyannote[288].end 3041.74971875
transcript.pyannote[289].speaker SPEAKER_02
transcript.pyannote[289].start 3042.15471875
transcript.pyannote[289].end 3045.91784375
transcript.pyannote[290].speaker SPEAKER_02
transcript.pyannote[290].start 3046.54221875
transcript.pyannote[290].end 3050.50784375
transcript.pyannote[291].speaker SPEAKER_02
transcript.pyannote[291].start 3050.69346875
transcript.pyannote[291].end 3054.45659375
transcript.pyannote[292].speaker SPEAKER_02
transcript.pyannote[292].start 3054.99659375
transcript.pyannote[292].end 3064.66596875
transcript.pyannote[293].speaker SPEAKER_02
transcript.pyannote[293].start 3065.00346875
transcript.pyannote[293].end 3072.37784375
transcript.pyannote[294].speaker SPEAKER_02
transcript.pyannote[294].start 3072.83346875
transcript.pyannote[294].end 3091.91909375
transcript.pyannote[295].speaker SPEAKER_02
transcript.pyannote[295].start 3092.50971875
transcript.pyannote[295].end 3108.87846875
transcript.pyannote[296].speaker SPEAKER_02
transcript.pyannote[296].start 3110.80221875
transcript.pyannote[296].end 3111.10596875
transcript.pyannote[297].speaker SPEAKER_02
transcript.pyannote[297].start 3111.56159375
transcript.pyannote[297].end 3115.05471875
transcript.pyannote[298].speaker SPEAKER_01
transcript.pyannote[298].start 3114.46409375
transcript.pyannote[298].end 3122.07471875
transcript.pyannote[299].speaker SPEAKER_02
transcript.pyannote[299].start 3115.72971875
transcript.pyannote[299].end 3116.01659375
transcript.pyannote[300].speaker SPEAKER_01
transcript.pyannote[300].start 3122.59784375
transcript.pyannote[300].end 3126.96846875
transcript.pyannote[301].speaker SPEAKER_02
transcript.pyannote[301].start 3124.42034375
transcript.pyannote[301].end 3125.01096875
transcript.pyannote[302].speaker SPEAKER_02
transcript.pyannote[302].start 3126.96846875
transcript.pyannote[302].end 3152.78721875
transcript.pyannote[303].speaker SPEAKER_01
transcript.pyannote[303].start 3154.67721875
transcript.pyannote[303].end 3154.99784375
transcript.pyannote[304].speaker SPEAKER_00
transcript.pyannote[304].start 3154.99784375
transcript.pyannote[304].end 3156.46596875
transcript.pyannote[305].speaker SPEAKER_00
transcript.pyannote[305].start 3157.54596875
transcript.pyannote[305].end 3158.37284375
transcript.pyannote[306].speaker SPEAKER_00
transcript.pyannote[306].start 3159.97596875
transcript.pyannote[306].end 3161.12346875
transcript.pyannote[307].speaker SPEAKER_00
transcript.pyannote[307].start 3161.62971875
transcript.pyannote[307].end 3166.57409375
transcript.pyannote[308].speaker SPEAKER_01
transcript.pyannote[308].start 3162.81096875
transcript.pyannote[308].end 3163.55346875
transcript.pyannote[309].speaker SPEAKER_00
transcript.pyannote[309].start 3168.43034375
transcript.pyannote[309].end 3172.12596875
transcript.pyannote[310].speaker SPEAKER_00
transcript.pyannote[310].start 3172.71659375
transcript.pyannote[310].end 3176.73284375
transcript.pyannote[311].speaker SPEAKER_00
transcript.pyannote[311].start 3177.44159375
transcript.pyannote[311].end 3179.70284375
transcript.pyannote[312].speaker SPEAKER_00
transcript.pyannote[312].start 3180.95159375
transcript.pyannote[312].end 3185.11971875
transcript.pyannote[313].speaker SPEAKER_00
transcript.pyannote[313].start 3185.98034375
transcript.pyannote[313].end 3189.47346875
transcript.pyannote[314].speaker SPEAKER_00
transcript.pyannote[314].start 3190.72221875
transcript.pyannote[314].end 3194.31659375
transcript.pyannote[315].speaker SPEAKER_00
transcript.pyannote[315].start 3194.90721875
transcript.pyannote[315].end 3197.43846875
transcript.pyannote[316].speaker SPEAKER_00
transcript.pyannote[316].start 3197.96159375
transcript.pyannote[316].end 3198.90659375
transcript.pyannote[317].speaker SPEAKER_00
transcript.pyannote[317].start 3200.59409375
transcript.pyannote[317].end 3200.96534375
transcript.pyannote[318].speaker SPEAKER_00
transcript.pyannote[318].start 3201.91034375
transcript.pyannote[318].end 3204.39096875
transcript.pyannote[319].speaker SPEAKER_00
transcript.pyannote[319].start 3205.11659375
transcript.pyannote[319].end 3206.60159375
transcript.pyannote[320].speaker SPEAKER_00
transcript.pyannote[320].start 3206.92221875
transcript.pyannote[320].end 3206.98971875
transcript.pyannote[321].speaker SPEAKER_00
transcript.pyannote[321].start 3209.94284375
transcript.pyannote[321].end 3210.80346875
transcript.pyannote[322].speaker SPEAKER_00
transcript.pyannote[322].start 3211.96784375
transcript.pyannote[322].end 3214.60034375
transcript.pyannote[323].speaker SPEAKER_01
transcript.pyannote[323].start 3212.60909375
transcript.pyannote[323].end 3212.92971875
transcript.pyannote[324].speaker SPEAKER_00
transcript.pyannote[324].start 3215.24159375
transcript.pyannote[324].end 3215.73096875
transcript.pyannote[325].speaker SPEAKER_00
transcript.pyannote[325].start 3219.02159375
transcript.pyannote[325].end 3223.91534375
transcript.pyannote[326].speaker SPEAKER_00
transcript.pyannote[326].start 3224.37096875
transcript.pyannote[326].end 3229.26471875
transcript.pyannote[327].speaker SPEAKER_00
transcript.pyannote[327].start 3229.77096875
transcript.pyannote[327].end 3233.65221875
transcript.pyannote[328].speaker SPEAKER_00
transcript.pyannote[328].start 3233.97284375
transcript.pyannote[328].end 3237.51659375
transcript.pyannote[329].speaker SPEAKER_00
transcript.pyannote[329].start 3239.05221875
transcript.pyannote[329].end 3239.15346875
transcript.pyannote[330].speaker SPEAKER_00
transcript.pyannote[330].start 3239.55846875
transcript.pyannote[330].end 3239.79471875
transcript.pyannote[331].speaker SPEAKER_00
transcript.pyannote[331].start 3268.33034375
transcript.pyannote[331].end 3268.56659375
transcript.pyannote[332].speaker SPEAKER_00
transcript.pyannote[332].start 3269.35971875
transcript.pyannote[332].end 3272.49846875
transcript.pyannote[333].speaker SPEAKER_00
transcript.pyannote[333].start 3273.13971875
transcript.pyannote[333].end 3273.49409375
transcript.pyannote[334].speaker SPEAKER_00
transcript.pyannote[334].start 3274.43909375
transcript.pyannote[334].end 3278.64096875
transcript.pyannote[335].speaker SPEAKER_00
transcript.pyannote[335].start 3279.19784375
transcript.pyannote[335].end 3284.36159375
transcript.pyannote[336].speaker SPEAKER_00
transcript.pyannote[336].start 3284.78346875
transcript.pyannote[336].end 3303.97034375
transcript.pyannote[337].speaker SPEAKER_00
transcript.pyannote[337].start 3304.40909375
transcript.pyannote[337].end 3315.32721875
transcript.pyannote[338].speaker SPEAKER_00
transcript.pyannote[338].start 3315.63096875
transcript.pyannote[338].end 3319.22534375
transcript.pyannote[339].speaker SPEAKER_00
transcript.pyannote[339].start 3319.27596875
transcript.pyannote[339].end 3319.44471875
transcript.pyannote[340].speaker SPEAKER_00
transcript.pyannote[340].start 3319.49534375
transcript.pyannote[340].end 3320.67659375
transcript.pyannote[341].speaker SPEAKER_00
transcript.pyannote[341].start 3321.18284375
transcript.pyannote[341].end 3325.04721875
transcript.pyannote[342].speaker SPEAKER_00
transcript.pyannote[342].start 3325.53659375
transcript.pyannote[342].end 3337.46721875
transcript.pyannote[343].speaker SPEAKER_00
transcript.pyannote[343].start 3337.70346875
transcript.pyannote[343].end 3340.90971875
transcript.pyannote[344].speaker SPEAKER_00
transcript.pyannote[344].start 3341.48346875
transcript.pyannote[344].end 3343.55909375
transcript.pyannote[345].speaker SPEAKER_00
transcript.pyannote[345].start 3344.06534375
transcript.pyannote[345].end 3345.75284375
transcript.pyannote[346].speaker SPEAKER_00
transcript.pyannote[346].start 3346.47846875
transcript.pyannote[346].end 3360.68721875
transcript.pyannote[347].speaker SPEAKER_00
transcript.pyannote[347].start 3361.17659375
transcript.pyannote[347].end 3366.05346875
transcript.pyannote[348].speaker SPEAKER_00
transcript.pyannote[348].start 3366.61034375
transcript.pyannote[348].end 3368.95596875
transcript.pyannote[349].speaker SPEAKER_00
transcript.pyannote[349].start 3369.19221875
transcript.pyannote[349].end 3373.46159375
transcript.pyannote[350].speaker SPEAKER_00
transcript.pyannote[350].start 3373.81596875
transcript.pyannote[350].end 3375.52034375
transcript.pyannote[351].speaker SPEAKER_00
transcript.pyannote[351].start 3375.95909375
transcript.pyannote[351].end 3380.05971875
transcript.pyannote[352].speaker SPEAKER_00
transcript.pyannote[352].start 3380.49846875
transcript.pyannote[352].end 3383.50221875
transcript.pyannote[353].speaker SPEAKER_00
transcript.pyannote[353].start 3384.34596875
transcript.pyannote[353].end 3387.34971875
transcript.pyannote[354].speaker SPEAKER_00
transcript.pyannote[354].start 3388.49721875
transcript.pyannote[354].end 3393.08721875
transcript.pyannote[355].speaker SPEAKER_00
transcript.pyannote[355].start 3393.12096875
transcript.pyannote[355].end 3396.73221875
transcript.pyannote[356].speaker SPEAKER_00
transcript.pyannote[356].start 3397.42409375
transcript.pyannote[356].end 3401.01846875
transcript.pyannote[357].speaker SPEAKER_00
transcript.pyannote[357].start 3401.72721875
transcript.pyannote[357].end 3403.04346875
transcript.pyannote[358].speaker SPEAKER_00
transcript.pyannote[358].start 3403.24596875
transcript.pyannote[358].end 3405.96284375
transcript.pyannote[359].speaker SPEAKER_00
transcript.pyannote[359].start 3407.65034375
transcript.pyannote[359].end 3408.79784375
transcript.pyannote[360].speaker SPEAKER_00
transcript.pyannote[360].start 3410.13096875
transcript.pyannote[360].end 3410.40096875
transcript.pyannote[361].speaker SPEAKER_00
transcript.pyannote[361].start 3410.55284375
transcript.pyannote[361].end 3412.57784375
transcript.pyannote[362].speaker SPEAKER_00
transcript.pyannote[362].start 3412.86471875
transcript.pyannote[362].end 3414.56909375
transcript.pyannote[363].speaker SPEAKER_00
transcript.pyannote[363].start 3415.04159375
transcript.pyannote[363].end 3416.08784375
transcript.pyannote[364].speaker SPEAKER_00
transcript.pyannote[364].start 3416.93159375
transcript.pyannote[364].end 3423.64784375
transcript.pyannote[365].speaker SPEAKER_00
transcript.pyannote[365].start 3423.96846875
transcript.pyannote[365].end 3429.19971875
transcript.pyannote[366].speaker SPEAKER_00
transcript.pyannote[366].start 3429.50346875
transcript.pyannote[366].end 3433.14846875
transcript.pyannote[367].speaker SPEAKER_00
transcript.pyannote[367].start 3433.46909375
transcript.pyannote[367].end 3435.54471875
transcript.pyannote[368].speaker SPEAKER_00
transcript.pyannote[368].start 3436.27034375
transcript.pyannote[368].end 3437.06346875
transcript.pyannote[369].speaker SPEAKER_00
transcript.pyannote[369].start 3440.08409375
transcript.pyannote[369].end 3443.57721875
transcript.pyannote[370].speaker SPEAKER_00
transcript.pyannote[370].start 3443.86409375
transcript.pyannote[370].end 3447.52596875
transcript.pyannote[371].speaker SPEAKER_00
transcript.pyannote[371].start 3448.55534375
transcript.pyannote[371].end 3449.80409375
transcript.pyannote[372].speaker SPEAKER_00
transcript.pyannote[372].start 3450.15846875
transcript.pyannote[372].end 3451.98096875
transcript.pyannote[373].speaker SPEAKER_00
transcript.pyannote[373].start 3452.65596875
transcript.pyannote[373].end 3455.47409375
transcript.pyannote[374].speaker SPEAKER_00
transcript.pyannote[374].start 3455.65971875
transcript.pyannote[374].end 3460.75596875
transcript.pyannote[375].speaker SPEAKER_00
transcript.pyannote[375].start 3461.26221875
transcript.pyannote[375].end 3464.75534375
transcript.pyannote[376].speaker SPEAKER_00
transcript.pyannote[376].start 3465.31221875
transcript.pyannote[376].end 3466.54409375
transcript.pyannote[377].speaker SPEAKER_00
transcript.pyannote[377].start 3467.03346875
transcript.pyannote[377].end 3470.17221875
transcript.pyannote[378].speaker SPEAKER_00
transcript.pyannote[378].start 3470.64471875
transcript.pyannote[378].end 3472.60221875
transcript.pyannote[379].speaker SPEAKER_00
transcript.pyannote[379].start 3473.07471875
transcript.pyannote[379].end 3476.23034375
transcript.pyannote[380].speaker SPEAKER_00
transcript.pyannote[380].start 3476.68596875
transcript.pyannote[380].end 3479.33534375
transcript.pyannote[381].speaker SPEAKER_00
transcript.pyannote[381].start 3479.80784375
transcript.pyannote[381].end 3482.91284375
transcript.pyannote[382].speaker SPEAKER_00
transcript.pyannote[382].start 3483.73971875
transcript.pyannote[382].end 3488.31284375
transcript.pyannote[383].speaker SPEAKER_00
transcript.pyannote[383].start 3488.70096875
transcript.pyannote[383].end 3491.09721875
transcript.pyannote[384].speaker SPEAKER_00
transcript.pyannote[384].start 3491.45159375
transcript.pyannote[384].end 3493.15596875
transcript.pyannote[385].speaker SPEAKER_00
transcript.pyannote[385].start 3493.39221875
transcript.pyannote[385].end 3495.02909375
transcript.pyannote[386].speaker SPEAKER_00
transcript.pyannote[386].start 3495.50159375
transcript.pyannote[386].end 3498.96096875
transcript.pyannote[387].speaker SPEAKER_00
transcript.pyannote[387].start 3499.41659375
transcript.pyannote[387].end 3502.36971875
transcript.pyannote[388].speaker SPEAKER_00
transcript.pyannote[388].start 3502.94346875
transcript.pyannote[388].end 3505.87971875
transcript.pyannote[389].speaker SPEAKER_00
transcript.pyannote[389].start 3506.23409375
transcript.pyannote[389].end 3507.38159375
transcript.pyannote[390].speaker SPEAKER_00
transcript.pyannote[390].start 3507.78659375
transcript.pyannote[390].end 3509.01846875
transcript.pyannote[391].speaker SPEAKER_00
transcript.pyannote[391].start 3509.55846875
transcript.pyannote[391].end 3514.55346875
transcript.pyannote[392].speaker SPEAKER_00
transcript.pyannote[392].start 3514.99221875
transcript.pyannote[392].end 3516.79784375
transcript.pyannote[393].speaker SPEAKER_00
transcript.pyannote[393].start 3517.15221875
transcript.pyannote[393].end 3518.83971875
transcript.pyannote[394].speaker SPEAKER_00
transcript.pyannote[394].start 3519.19409375
transcript.pyannote[394].end 3520.03784375
transcript.pyannote[395].speaker SPEAKER_00
transcript.pyannote[395].start 3520.42596875
transcript.pyannote[395].end 3522.73784375
transcript.pyannote[396].speaker SPEAKER_00
transcript.pyannote[396].start 3523.22721875
transcript.pyannote[396].end 3527.71596875
transcript.pyannote[397].speaker SPEAKER_01
transcript.pyannote[397].start 3528.54284375
transcript.pyannote[397].end 3534.41534375
transcript.pyannote[398].speaker SPEAKER_01
transcript.pyannote[398].start 3534.75284375
transcript.pyannote[398].end 3536.01846875
transcript.pyannote[399].speaker SPEAKER_01
transcript.pyannote[399].start 3536.47409375
transcript.pyannote[399].end 3538.73534375
transcript.pyannote[400].speaker SPEAKER_01
transcript.pyannote[400].start 3539.10659375
transcript.pyannote[400].end 3546.09284375
transcript.pyannote[401].speaker SPEAKER_01
transcript.pyannote[401].start 3546.36284375
transcript.pyannote[401].end 3547.76346875
transcript.pyannote[402].speaker SPEAKER_01
transcript.pyannote[402].start 3548.35409375
transcript.pyannote[402].end 3557.06159375
transcript.pyannote[403].speaker SPEAKER_01
transcript.pyannote[403].start 3557.26409375
transcript.pyannote[403].end 3561.58409375
transcript.pyannote[404].speaker SPEAKER_01
transcript.pyannote[404].start 3561.63471875
transcript.pyannote[404].end 3566.15721875
transcript.pyannote[405].speaker SPEAKER_01
transcript.pyannote[405].start 3566.20784375
transcript.pyannote[405].end 3568.30034375
transcript.pyannote[406].speaker SPEAKER_01
transcript.pyannote[406].start 3568.67159375
transcript.pyannote[406].end 3572.50221875
transcript.pyannote[407].speaker SPEAKER_01
transcript.pyannote[407].start 3572.83971875
transcript.pyannote[407].end 3573.29534375
transcript.pyannote[408].speaker SPEAKER_01
transcript.pyannote[408].start 3573.64971875
transcript.pyannote[408].end 3575.21909375
transcript.pyannote[409].speaker SPEAKER_01
transcript.pyannote[409].start 3575.33721875
transcript.pyannote[409].end 3576.85596875
transcript.pyannote[410].speaker SPEAKER_01
transcript.pyannote[410].start 3577.21034375
transcript.pyannote[410].end 3579.60659375
transcript.pyannote[411].speaker SPEAKER_01
transcript.pyannote[411].start 3579.84284375
transcript.pyannote[411].end 3588.76971875
transcript.pyannote[412].speaker SPEAKER_00
transcript.pyannote[412].start 3590.40659375
transcript.pyannote[412].end 3594.05159375
transcript.pyannote[413].speaker SPEAKER_00
transcript.pyannote[413].start 3594.49034375
transcript.pyannote[413].end 3594.79409375
transcript.pyannote[414].speaker SPEAKER_00
transcript.pyannote[414].start 3595.16534375
transcript.pyannote[414].end 3595.70534375
transcript.pyannote[415].speaker SPEAKER_03
transcript.pyannote[415].start 3601.91534375
transcript.pyannote[415].end 3603.94034375
transcript.pyannote[416].speaker SPEAKER_03
transcript.pyannote[416].start 3604.26096875
transcript.pyannote[416].end 3611.43284375
transcript.pyannote[417].speaker SPEAKER_03
transcript.pyannote[417].start 3611.56784375
transcript.pyannote[417].end 3634.46721875
transcript.pyannote[418].speaker SPEAKER_03
transcript.pyannote[418].start 3635.00721875
transcript.pyannote[418].end 3661.63596875
transcript.pyannote[419].speaker SPEAKER_03
transcript.pyannote[419].start 3662.86784375
transcript.pyannote[419].end 3675.57471875
transcript.pyannote[420].speaker SPEAKER_03
transcript.pyannote[420].start 3675.84471875
transcript.pyannote[420].end 3737.10096875
transcript.pyannote[421].speaker SPEAKER_03
transcript.pyannote[421].start 3738.06284375
transcript.pyannote[421].end 3739.42971875
transcript.pyannote[422].speaker SPEAKER_03
transcript.pyannote[422].start 3739.96971875
transcript.pyannote[422].end 3745.90971875
transcript.pyannote[423].speaker SPEAKER_03
transcript.pyannote[423].start 3746.07846875
transcript.pyannote[423].end 3751.68096875
transcript.pyannote[424].speaker SPEAKER_03
transcript.pyannote[424].start 3752.13659375
transcript.pyannote[424].end 3756.52409375
transcript.pyannote[425].speaker SPEAKER_03
transcript.pyannote[425].start 3756.74346875
transcript.pyannote[425].end 3778.83284375
transcript.pyannote[426].speaker SPEAKER_03
transcript.pyannote[426].start 3779.60909375
transcript.pyannote[426].end 3790.24034375
transcript.pyannote[427].speaker SPEAKER_00
transcript.pyannote[427].start 3795.69096875
transcript.pyannote[427].end 3811.90784375
transcript.pyannote[428].speaker SPEAKER_00
transcript.pyannote[428].start 3812.19471875
transcript.pyannote[428].end 3815.31659375
transcript.pyannote[429].speaker SPEAKER_00
transcript.pyannote[429].start 3815.65409375
transcript.pyannote[429].end 3816.39659375
transcript.pyannote[430].speaker SPEAKER_00
transcript.pyannote[430].start 3816.86909375
transcript.pyannote[430].end 3816.88596875
transcript.pyannote[431].speaker SPEAKER_01
transcript.pyannote[431].start 3816.88596875
transcript.pyannote[431].end 3824.80034375
transcript.pyannote[432].speaker SPEAKER_00
transcript.pyannote[432].start 3824.10846875
transcript.pyannote[432].end 3824.49659375
transcript.pyannote[433].speaker SPEAKER_00
transcript.pyannote[433].start 3824.80034375
transcript.pyannote[433].end 3826.58909375
transcript.pyannote[434].speaker SPEAKER_01
transcript.pyannote[434].start 3826.58909375
transcript.pyannote[434].end 3827.14596875
transcript.pyannote[435].speaker SPEAKER_00
transcript.pyannote[435].start 3827.14596875
transcript.pyannote[435].end 3829.00221875
transcript.pyannote[436].speaker SPEAKER_01
transcript.pyannote[436].start 3827.21346875
transcript.pyannote[436].end 3829.12034375
transcript.pyannote[437].speaker SPEAKER_00
transcript.pyannote[437].start 3829.12034375
transcript.pyannote[437].end 3829.13721875
transcript.pyannote[438].speaker SPEAKER_01
transcript.pyannote[438].start 3829.60971875
transcript.pyannote[438].end 3835.70159375
transcript.pyannote[439].speaker SPEAKER_00
transcript.pyannote[439].start 3834.89159375
transcript.pyannote[439].end 3835.09409375
transcript.pyannote[440].speaker SPEAKER_00
transcript.pyannote[440].start 3835.88721875
transcript.pyannote[440].end 3839.76846875
transcript.pyannote[441].speaker SPEAKER_01
transcript.pyannote[441].start 3838.82346875
transcript.pyannote[441].end 3840.39284375
transcript.pyannote[442].speaker SPEAKER_00
transcript.pyannote[442].start 3840.35909375
transcript.pyannote[442].end 3843.07596875
transcript.pyannote[443].speaker SPEAKER_00
transcript.pyannote[443].start 3843.41346875
transcript.pyannote[443].end 3847.09221875
transcript.pyannote[444].speaker SPEAKER_00
transcript.pyannote[444].start 3847.42971875
transcript.pyannote[444].end 3850.04534375
transcript.pyannote[445].speaker SPEAKER_00
transcript.pyannote[445].start 3850.58534375
transcript.pyannote[445].end 3856.40721875
transcript.pyannote[446].speaker SPEAKER_00
transcript.pyannote[446].start 3856.86284375
transcript.pyannote[446].end 3859.20846875
transcript.pyannote[447].speaker SPEAKER_00
transcript.pyannote[447].start 3859.52909375
transcript.pyannote[447].end 3861.48659375
transcript.pyannote[448].speaker SPEAKER_00
transcript.pyannote[448].start 3861.79034375
transcript.pyannote[448].end 3879.07034375
transcript.pyannote[449].speaker SPEAKER_00
transcript.pyannote[449].start 3879.32346875
transcript.pyannote[449].end 3898.03784375
transcript.pyannote[450].speaker SPEAKER_00
transcript.pyannote[450].start 3898.34159375
transcript.pyannote[450].end 3915.97596875
transcript.pyannote[451].speaker SPEAKER_00
transcript.pyannote[451].start 3916.21221875
transcript.pyannote[451].end 3917.96721875
transcript.pyannote[452].speaker SPEAKER_00
transcript.pyannote[452].start 3918.20346875
transcript.pyannote[452].end 3920.59971875
transcript.pyannote[453].speaker SPEAKER_00
transcript.pyannote[453].start 3920.71784375
transcript.pyannote[453].end 3933.57659375
transcript.pyannote[454].speaker SPEAKER_00
transcript.pyannote[454].start 3933.99846875
transcript.pyannote[454].end 3935.26409375
transcript.pyannote[455].speaker SPEAKER_00
transcript.pyannote[455].start 3935.63534375
transcript.pyannote[455].end 3937.01909375
transcript.pyannote[456].speaker SPEAKER_00
transcript.pyannote[456].start 3937.18784375
transcript.pyannote[456].end 3938.79096875
transcript.pyannote[457].speaker SPEAKER_00
transcript.pyannote[457].start 3938.95971875
transcript.pyannote[457].end 3940.46159375
transcript.pyannote[458].speaker SPEAKER_00
transcript.pyannote[458].start 3941.06909375
transcript.pyannote[458].end 3948.81471875
transcript.pyannote[459].speaker SPEAKER_00
transcript.pyannote[459].start 3949.13534375
transcript.pyannote[459].end 3956.22284375
transcript.pyannote[460].speaker SPEAKER_00
transcript.pyannote[460].start 3956.39159375
transcript.pyannote[460].end 3964.20471875
transcript.pyannote[461].speaker SPEAKER_00
transcript.pyannote[461].start 3965.13284375
transcript.pyannote[461].end 3968.05221875
transcript.pyannote[462].speaker SPEAKER_00
transcript.pyannote[462].start 3968.64284375
transcript.pyannote[462].end 3970.81971875
transcript.pyannote[463].speaker SPEAKER_00
transcript.pyannote[463].start 3971.02221875
transcript.pyannote[463].end 3974.65034375
transcript.pyannote[464].speaker SPEAKER_00
transcript.pyannote[464].start 3974.92034375
transcript.pyannote[464].end 3976.67534375
transcript.pyannote[465].speaker SPEAKER_00
transcript.pyannote[465].start 3977.04659375
transcript.pyannote[465].end 3978.39659375
transcript.pyannote[466].speaker SPEAKER_00
transcript.pyannote[466].start 3978.80159375
transcript.pyannote[466].end 3979.91534375
transcript.pyannote[467].speaker SPEAKER_00
transcript.pyannote[467].start 3980.33721875
transcript.pyannote[467].end 3991.37346875
transcript.pyannote[468].speaker SPEAKER_00
transcript.pyannote[468].start 3991.54221875
transcript.pyannote[468].end 4001.97096875
transcript.pyannote[469].speaker SPEAKER_00
transcript.pyannote[469].start 4002.49409375
transcript.pyannote[469].end 4013.42909375
transcript.pyannote[470].speaker SPEAKER_00
transcript.pyannote[470].start 4014.03659375
transcript.pyannote[470].end 4014.59346875
transcript.pyannote[471].speaker SPEAKER_00
transcript.pyannote[471].start 4014.82971875
transcript.pyannote[471].end 4021.29284375
transcript.pyannote[472].speaker SPEAKER_00
transcript.pyannote[472].start 4021.73159375
transcript.pyannote[472].end 4024.85346875
transcript.pyannote[473].speaker SPEAKER_00
transcript.pyannote[473].start 4025.20784375
transcript.pyannote[473].end 4027.13159375
transcript.pyannote[474].speaker SPEAKER_00
transcript.pyannote[474].start 4027.70534375
transcript.pyannote[474].end 4030.57409375
transcript.pyannote[475].speaker SPEAKER_00
transcript.pyannote[475].start 4030.84409375
transcript.pyannote[475].end 4036.19346875
transcript.pyannote[476].speaker SPEAKER_00
transcript.pyannote[476].start 4036.39596875
transcript.pyannote[476].end 4038.64034375
transcript.pyannote[477].speaker SPEAKER_00
transcript.pyannote[477].start 4038.70784375
transcript.pyannote[477].end 4038.75846875
transcript.pyannote[478].speaker SPEAKER_00
transcript.pyannote[478].start 4038.77534375
transcript.pyannote[478].end 4042.40346875
transcript.pyannote[479].speaker SPEAKER_00
transcript.pyannote[479].start 4043.51721875
transcript.pyannote[479].end 4045.15409375
transcript.pyannote[480].speaker SPEAKER_00
transcript.pyannote[480].start 4045.44096875
transcript.pyannote[480].end 4048.79909375
transcript.pyannote[481].speaker SPEAKER_00
transcript.pyannote[481].start 4049.11971875
transcript.pyannote[481].end 4049.99721875
transcript.pyannote[482].speaker SPEAKER_00
transcript.pyannote[482].start 4051.12784375
transcript.pyannote[482].end 4053.52409375
transcript.pyannote[483].speaker SPEAKER_00
transcript.pyannote[483].start 4053.67596875
transcript.pyannote[483].end 4059.02534375
transcript.pyannote[484].speaker SPEAKER_00
transcript.pyannote[484].start 4059.04221875
transcript.pyannote[484].end 4064.49284375
transcript.pyannote[485].speaker SPEAKER_00
transcript.pyannote[485].start 4064.79659375
transcript.pyannote[485].end 4065.23534375
transcript.pyannote[486].speaker SPEAKER_00
transcript.pyannote[486].start 4065.64034375
transcript.pyannote[486].end 4066.06221875
transcript.pyannote[487].speaker SPEAKER_00
transcript.pyannote[487].start 4066.56846875
transcript.pyannote[487].end 4074.49971875
transcript.pyannote[488].speaker SPEAKER_00
transcript.pyannote[488].start 4074.83721875
transcript.pyannote[488].end 4080.38909375
transcript.pyannote[489].speaker SPEAKER_00
transcript.pyannote[489].start 4080.87846875
transcript.pyannote[489].end 4081.23284375
transcript.pyannote[490].speaker SPEAKER_00
transcript.pyannote[490].start 4081.63784375
transcript.pyannote[490].end 4090.15971875
transcript.pyannote[491].speaker SPEAKER_00
transcript.pyannote[491].start 4091.02034375
transcript.pyannote[491].end 4095.00284375
transcript.pyannote[492].speaker SPEAKER_00
transcript.pyannote[492].start 4095.37409375
transcript.pyannote[492].end 4100.21721875
transcript.pyannote[493].speaker SPEAKER_00
transcript.pyannote[493].start 4100.79096875
transcript.pyannote[493].end 4102.81596875
transcript.pyannote[494].speaker SPEAKER_00
transcript.pyannote[494].start 4102.98471875
transcript.pyannote[494].end 4115.57346875
transcript.pyannote[495].speaker SPEAKER_00
transcript.pyannote[495].start 4116.34971875
transcript.pyannote[495].end 4120.36596875
transcript.pyannote[496].speaker SPEAKER_00
transcript.pyannote[496].start 4120.77096875
transcript.pyannote[496].end 4124.61846875
transcript.pyannote[497].speaker SPEAKER_00
transcript.pyannote[497].start 4125.37784375
transcript.pyannote[497].end 4136.66721875
transcript.pyannote[498].speaker SPEAKER_00
transcript.pyannote[498].start 4138.82721875
transcript.pyannote[498].end 4140.51471875
transcript.pyannote[499].speaker SPEAKER_00
transcript.pyannote[499].start 4141.94909375
transcript.pyannote[499].end 4150.58909375
transcript.pyannote[500].speaker SPEAKER_00
transcript.pyannote[500].start 4151.31471875
transcript.pyannote[500].end 4157.79471875
transcript.pyannote[501].speaker SPEAKER_00
transcript.pyannote[501].start 4158.08159375
transcript.pyannote[501].end 4161.25409375
transcript.pyannote[502].speaker SPEAKER_00
transcript.pyannote[502].start 4161.54096875
transcript.pyannote[502].end 4163.66721875
transcript.pyannote[503].speaker SPEAKER_00
transcript.pyannote[503].start 4163.98784375
transcript.pyannote[503].end 4164.49409375
transcript.pyannote[504].speaker SPEAKER_00
transcript.pyannote[504].start 4165.06784375
transcript.pyannote[504].end 4166.46846875
transcript.pyannote[505].speaker SPEAKER_00
transcript.pyannote[505].start 4166.83971875
transcript.pyannote[505].end 4167.90284375
transcript.whisperx[0].start 1875.679
transcript.whisperx[0].end 1893.133
transcript.whisperx[0].text 現在開始進行協商會議本日協商刑法修正及警察人員人事條例修正共計兩個主題稍後按照協商通知排序依序進行協商
transcript.whisperx[1].start 1922.413
transcript.whisperx[1].end 1946.809
transcript.whisperx[1].text 我們介紹道場委員黃國昌委員我們介紹機關代表刑事廳法官朱家川法務部政次徐希祥內政部政次馬希仁
transcript.whisperx[2].start 1955.764
transcript.whisperx[2].end 1981.698
transcript.whisperx[2].text 內政部警政署防制組副組長施宜先教育部國民及學前教育署學務校安組組長葉信春其一就不依介紹
transcript.whisperx[3].start 1984.056
transcript.whisperx[3].end 1997.811
transcript.whisperx[3].text 好那我們現在逐案進行協商但是都沒有人來那我們稍微等一下看有沒有他們要不要過來不然沒有人是黃委員
transcript.whisperx[4].start 1999.304
transcript.whisperx[4].end 2021.552
transcript.whisperx[4].text 那個謝謝主席喔也辛苦了等一下兩點半那邊還要回去院長主持的協商那因為那個針對啊有關於那個我們警消同仁權益保護啊的事情也在今天協商的範圍之內嘛那針對啊有關於權序部
transcript.whisperx[5].start 2025.225
transcript.whisperx[5].end 2039.594
transcript.whisperx[5].text 之前所提出來的那一份報告我們是不是可以請那個詮釋部就是說我也不太確定今天的協商是不是在委員會這邊可以順利的進行
transcript.whisperx[6].start 2040.871
transcript.whisperx[6].end 2064.731
transcript.whisperx[6].text 但我覺得有一件事情你們可能要需要再做一下因為我當然知道你們如果要真的精算的話那要請外面的精算師但是我們先以你們目前手上有的data來當作討論的基礎因為你們現在在算的那個所得替代率大概
transcript.whisperx[7].start 2065.572
transcript.whisperx[7].end 2079.568
transcript.whisperx[7].text 就是只有四算兩種情境一個是95%另外一個是90%那因為我覺得這件事情我們非常多的人大家都很關注
transcript.whisperx[8].start 2080.589
transcript.whisperx[8].end 2099.208
transcript.whisperx[8].text 那是不是你們針對不同的情境的部分因為你們手上都有data啦大概參數改一下數字就跑出來了在所得替代率85、80、75、70這四種情境你們是不是可以再補數字來有困難嗎
transcript.whisperx[9].start 2104.316
transcript.whisperx[9].end 2131.701
transcript.whisperx[9].text 委員報告我是全局部政務次長那跟委員報告就是上次這個委員在審查的時候特別提然後我們也是希望能夠配合委員的這個期待就是把他能夠做一個比較好的精算的結果但是因為最後的決議是希望三個禮拜裡面提出來所以作業時間的確是有困難的那我們
transcript.whisperx[10].start 2132.681
transcript.whisperx[10].end 2154.826
transcript.whisperx[10].text 在整個作業過程我們也找了精算師跟我們做一些協作然後就是盡量趨向可以用這個一般精算的一個方式但是這樣來差距還是沒有辦法達到那個所以還是用概算的方式提出來那因為時間的關係所以我們也只有辦法從
transcript.whisperx[11].start 2156.326
transcript.whisperx[11].end 2181.713
transcript.whisperx[11].text 這個提案的這個90%跟95%來做一個這個概算的處理然後也在期間內報到院裡面來那委員期待要試算其他的方式那可能要再更多一點時間要有時間我先跟次長交換一下意見就是說
transcript.whisperx[12].start 2183.703
transcript.whisperx[12].end 2185.465
transcript.whisperx[12].text 你現在只是在換所得替代率的這個參數
transcript.whisperx[13].start 2203.147
transcript.whisperx[13].end 2220.126
transcript.whisperx[13].text 那我知道不管怎麼樣即使是換參數你們可能都需要一些時間但我覺得作為我們要比較負責任的去做一個最後的政策上面的決斷我們要可以看得到數字
transcript.whisperx[14].start 2222.299
transcript.whisperx[14].end 2237.329
transcript.whisperx[14].text 因為你們在95跟90的時候我看跟完全都不調你們現金流量用慶的年數不管是90還是95大概是提早兩年不管是90還是95是提早兩年這樣子
transcript.whisperx[15].start 2244.253
transcript.whisperx[15].end 2272.328
transcript.whisperx[15].text 其他的情境的試算是不是也可以提供我的意思是說你其實只有在所得替代率到底是多少百分比是95還是90能夠除了這兩個情境以外你把那個參數換一下然後也可以提供補充的報告給我們其他的委員來做參考因為我必須要說啦就是說我從我自己的角度講
transcript.whisperx[16].start 2273.911
transcript.whisperx[16].end 2289.697
transcript.whisperx[16].text 警消的同仁非常的辛苦他們的工作型態真的跟一般的公務人員是不一樣的那只不過說我們在政策的選擇上是到底要維持跟現在一般的公務人員一樣
transcript.whisperx[17].start 2291.008
transcript.whisperx[17].end 2311.545
transcript.whisperx[17].text 還是要一口氣把它拉到跟軍人一樣還是在中間有可能其他的選項我覺得我們要做最後的決斷以前要負責任的去思考這件事情那在兼顧所謂的世代正義跟年金永續的價值下我們怎麼樣去取得一個平衡點
transcript.whisperx[18].start 2312.505
transcript.whisperx[18].end 2339.214
transcript.whisperx[18].text 我覺得這個對於接下來立法院在這件事情做最後的立法政策上面的決斷會非常的關鍵那因此我不太希望說接下來的討論變成是在蹭金蹭糧這樣不好就是說對我們現在基金的水位在不同的情境下面去做調整它會產生的影響是什麼因為你們現在試算了
transcript.whisperx[19].start 2340.214
transcript.whisperx[19].end 2367.249
transcript.whisperx[19].text 只有兩種嘛不同的情境出來那我希望說你們把那個所得替代率的參數再換一下然後再提我沒有要你們從頭到尾再搞一個新的啦幾個關鍵的數值幾個關鍵的數值因為你們那個人啦的部分人的部分你們已經盤點出來了嘛人數的變化你們已經盤點出來那個是不會動花蠻多功夫去做是是是
transcript.whisperx[20].start 2368.89
transcript.whisperx[20].end 2389.209
transcript.whisperx[20].text 我先不挑戰那樣的估計正確或不正確我知道你們很辛苦先去做了人數的部分是沒有必要去做更動的但所得替代率的部分既然你們手上都有data把那個替代率的參數稍微換一下然後提供一個補充的報告給我們
transcript.whisperx[21].start 2390.45
transcript.whisperx[21].end 2409.644
transcript.whisperx[21].text 我覺得接下來在後續的協商當中有那樣的一個資訊當作基礎的話會比較讓我們在做政策最後決斷的時候有一個比較清楚的依據而不是用猜的那我覺得這樣也是一個比較負責任立法的模式
transcript.whisperx[22].start 2411.872
transcript.whisperx[22].end 2437.238
transcript.whisperx[22].text 我跟委員做,就是剛剛委員的槌尋,大概做幾個跟委員報告一個就是警消很辛苦這件事情,我們大概所有的人都會認同所以我們現在的制度的設計是在前端就開始去拉高警消跟同職等的公務員的差距大概是
transcript.whisperx[23].start 2438.058
transcript.whisperx[23].end 2445.403
transcript.whisperx[23].text 六職等的錦銷會相當於八職等年供奉的公園。」那這個制度的難就是難在
transcript.whisperx[24].start 2447.985
transcript.whisperx[24].end 2474.659
transcript.whisperx[24].text 這個要公平啦就是基金嘛大家都參與同樣的基金那如果是我買一百萬的保險他也買一百萬的保險那最後兩個領的是不一樣這個我們以主管機關負責任態度來講我們就很難對其他領的少的人去做說明那我們在制度的設計上是從頭開始設計就是前端就把它的待遇是拉高的就是把它拉高拉高以後呢
transcript.whisperx[25].start 2475.479
transcript.whisperx[25].end 2498.398
transcript.whisperx[25].text 那他整個就是這個繳費的機制上面就會前端後端就是一個橫屏的狀態那目前的制度是從待遇開始去做處理那待遇大概警政事節跟建立六指等會相差在大概九千到一萬六那個是不是可以把資料給委員
transcript.whisperx[26].start 2503.752
transcript.whisperx[26].end 2512.237
transcript.whisperx[26].text 我們有整理一個就是比較容易理解的就是我們在這個基礎上來看可能會更清楚一點
transcript.whisperx[27].start 2519.929
transcript.whisperx[27].end 2539.303
transcript.whisperx[27].text 那就是我們從待遇端開始先把他拉高嘛所以他就會維持這個制度上面的所謂前後端的橫屏也是在前端的時候他就拉高所以他的腳配的標準就會跟這個後端領取的時候是一個橫屏的狀態所以他現在的
transcript.whisperx[28].start 2539.983
transcript.whisperx[28].end 2550.925
transcript.whisperx[28].text 差距同樣等階的警校跟非警校大概會差9000到16000,這個我們就是不包括像雙北那個比較有特別
transcript.whisperx[29].start 2551.87
transcript.whisperx[29].end 2580.108
transcript.whisperx[29].text 之給的一個情形然後它危老的設計上面也是在自願退跟借退有降臨的一個狀態那自願退大概是差10年也是讓這部分的同仁真的很辛苦讓他可以早一點領退休金因為退休金的啟資年齡也目前是差5歲到65歲大概做這樣的一個設計那這個慰問金的部分也把它差距拉出來
transcript.whisperx[30].start 2581.038
transcript.whisperx[30].end 2598.511
transcript.whisperx[30].text 那我們就退休的狀況來看現在退休的平均年齡這個警校人員因為有降齡的關係所以他是55.59歲那非警校是60.25那這樣看起來差距就是有一點差距拉出來
transcript.whisperx[31].start 2601.655
transcript.whisperx[31].end 2618.953
transcript.whisperx[31].text 在上次有很多人有些媒體有報導對於有一個質疑就是說景蕭同仁退休以後的平均死亡年齡到底跟國人是不是有比較低我們這個數據是從警政署的網站公開的資料
transcript.whisperx[32].start 2620.515
transcript.whisperx[32].end 2639.572
transcript.whisperx[32].text 去接取的,就是看起來是接近啦然後我們自己在109年游益蘭委員其實也要我們全區府有做過平均餘命的一個這個精算那我們那次是委託精算公司去做處理那以65歲的
transcript.whisperx[33].start 2641.354
transcript.whisperx[33].end 2648.358
transcript.whisperx[33].text 平均餘命退休後,景蕭同仁及國人接近,以退平均月退休金
transcript.whisperx[34].start 2663.018
transcript.whisperx[34].end 2680.053
transcript.whisperx[34].text 會比非警消大概多四千塊一個月那他的退休金的積聚因為前端制度的設計讓他的縫集把他拉開所以現在看起來落在五萬到七萬的警消的統領是69.1%那在
transcript.whisperx[35].start 2683.155
transcript.whisperx[35].end 2708.316
transcript.whisperx[35].text 四萬到六萬的非警消的一般公務通行是59.1%這個是以現況的呈現修法後大概會造成的情形就是修法後以退休的因為他已經退休了他就不會再扣他的錢所以他大概就維持在六萬左右
transcript.whisperx[36].start 2709.717
transcript.whisperx[36].end 2737.023
transcript.whisperx[36].text 我們是用這個因為警校大概八成都是警政事階退休啦所以我們就用警政事階這個階級來做處理那非警校的同仁因為他還會所得替代還會持續下降所以從113到118還會從四萬九大概降到四萬四左右那修法前後如果是修法過了以後新退的就是警政事階的同仁會從大概六萬
transcript.whisperx[37].start 2738.479
transcript.whisperx[37].end 2758.897
transcript.whisperx[37].text 二千多到會拉高到七萬九那鑑認第六指等的部分因為他沒有適用這端所以他是一個持平的狀態就五萬三大概一三到一八大概是一樣的狀態那財務的影響就是我們上次也很也很佩服這個
transcript.whisperx[38].start 2760.851
transcript.whisperx[38].end 2780.421
transcript.whisperx[38].text 國常委員希望我們做負責任的主管機關應該是要有比較精確一點的數據來讓大家做參考讓這個政策的決定能夠更周延所以我們現在這樣算出來政府的支出修法以後這樣會增加
transcript.whisperx[39].start 2782.142
transcript.whisperx[39].end 2800.248
transcript.whisperx[39].text 我們是用50年啦,因為退伏法上面的規範就希望我們是每三年精算一次,然後每次的精算都是用50年所以我們是也盡量不要自己再創一個不同的模式所以政府的支出是會增加3117億
transcript.whisperx[40].start 2805.021
transcript.whisperx[40].end 2812.872
transcript.whisperx[40].text 這是政府的支出增加那對基金的影響就是本來要扣的扣不到了就是
transcript.whisperx[41].start 2815.319
transcript.whisperx[41].end 2836.9
transcript.whisperx[41].text 本來給予預註到基金的部分就是政府因為給予必須編列預算到基金來預註的部分大概會少掉1093億那上次我們是的出估是講1080億那這是經過精算師的協助大概數據差距不大很接近這是1093
transcript.whisperx[42].start 2839.122
transcript.whisperx[42].end 2854.322
transcript.whisperx[42].text 那基金的支出大概會要增加668億那在這個收入依住減少支出增加的狀態之下那個流量
transcript.whisperx[43].start 2855.143
transcript.whisperx[43].end 2871.585
transcript.whisperx[43].text 就是我們現在這個跑出來我們也是在金鑽石協助之下他是沒有委託他們但是因為他是我們之前有委託他其他案子所以他也有了協力來幫我們做一個比較一個可靠的一個
transcript.whisperx[44].start 2873.174
transcript.whisperx[44].end 2898.287
transcript.whisperx[44].text 一個估算的方式所以他的這個用盡年度就會提早兩年以現在就是本來年改是希望能夠到140年那因為上次12年7月1號以後那個個人專戶制實施之後當然那個進水量就變少了所以那一部分現在有一萬多人那是
transcript.whisperx[45].start 2898.767
transcript.whisperx[45].end 2912.814
transcript.whisperx[45].text 另外一個儲金在做處理所以就會提早到134年那當然現在是政府在持續撥補那如果這個修正再通過的話就會再提早兩年
transcript.whisperx[46].start 2913.769
transcript.whisperx[46].end 2935.578
transcript.whisperx[46].text 那剛剛要特別跟黃委員報告的就是我們有一個很困難的點就是很困難的點就是那個基金是大家一起參與的那照理說應該是繳費的標準跟你這個給付的標準應該是一樣那現在我們都是用本分兩倍在在做處理那所以
transcript.whisperx[47].start 2936.178
transcript.whisperx[47].end 2956.544
transcript.whisperx[47].text 我們可以按照委員的要求去算85、75、80等等這些擬具不過這個核心的問題會讓我們很難去面對其他的公務人員我們如果要告訴他說你的這個繳費的標準是一樣的然後你將來領的是不一樣的
transcript.whisperx[48].start 2957.364
transcript.whisperx[48].end 2980.395
transcript.whisperx[48].text 那公園的心理的那種衝擊是我們一個負責任的主管機關我們必須要說出來的所以我們為什麼會一直立場很堅定的要呼籲、要建議委員們能夠看到我們現在提出來這個問題
transcript.whisperx[49].start 2981.736
transcript.whisperx[49].end 3007.174
transcript.whisperx[49].text 就是這個部分是比較比較辛苦的部分就是我有想這個比較以上跟委員做報告那委員的那個剛才希望我們再做補充這個做估算的部分我們回去可以再跟我們的同仁再討論一下那個時間到底多久我們能夠趕得出來然後再跟委員回報再把資料送到立法院來
transcript.whisperx[50].start 3009.06
transcript.whisperx[50].end 3025.598
transcript.whisperx[50].text 不好意思,中介我再補一下就是說非常感謝你的說明那剛剛你講到的那些方方面面的考慮這段時間各方面的聲音我們其實都有聽到那我只是要再特別強調一下就是說以我們現在
transcript.whisperx[51].start 3027.937
transcript.whisperx[51].end 3054.159
transcript.whisperx[51].text 聽了很多聲音在這個社會裡面真的對我們的警消統人是有相當高程度的支持這個不是我捏造出來的但如同你所說的我們怎麼樣去維持一個橫貧以及年輕永續這樣子的一個想法以及政府在這個過程裡面扮演的角色
transcript.whisperx[52].start 3055.26
transcript.whisperx[52].end 3071.429
transcript.whisperx[52].text 以及如果說要對於警校的同仁政府應該給他們更好的待遇因為現在整個人力的結構從上一次我看警政署所提出來的數字人力的結構事實上已經真的在改變當中了
transcript.whisperx[53].start 3073.03
transcript.whisperx[53].end 3091.385
transcript.whisperx[53].text 那那個所謂衝擊到的還有外部社會成本的問題那個我們要一併的把它考慮在這裡面那正是因為有很多方方面面的考慮我們必須要綜合的來考量所以我才會請全區部的同仁稍微再辛苦一點你們後面的那個
transcript.whisperx[54].start 3092.806
transcript.whisperx[54].end 3108.668
transcript.whisperx[54].text 包括政府的給付、然後資金的溢出、支出跟用盡的年度就是在不同的所得替代率的情境下可以把那個具體的數字特別是因為你現在是一下子是拉50年嘛
transcript.whisperx[55].start 3111.796
transcript.whisperx[55].end 3131.866
transcript.whisperx[55].text 對吧,你是用50年當估算嗎?跟委員報告,就是我剛剛有跟委員報告就是因為我們的退伏法上面這個精算都是用50年來做出來的這個我不挑戰啦,就是你就維持你本來的model就好了
transcript.whisperx[56].start 3132.446
transcript.whisperx[56].end 3155.57
transcript.whisperx[56].text 我只是因為你們data保護得很好嘛data在你們你們把data保護好所以是應該的事情那用你們那個data用一樣的公式那用不一樣的參數把數字跑出來讓我們可以有一個依循好 謝謝謝謝委員謝謝黃委員那我們還是把
transcript.whisperx[57].start 3161.687
transcript.whisperx[57].end 3188.873
transcript.whisperx[57].text 沒有人來不一樣我們還是第二案的行政部門的代表出席有空勤總隊的副總隊長周鴻升全區部政次張修遠人事行政總處的副處長李美惠還尋屬人事室主任陳旺順
transcript.whisperx[58].start 3190.885
transcript.whisperx[58].end 3213.731
transcript.whisperx[58].text 民用航空局人事室主任張蘭華國防部資源規劃司司長鄧克雄主計總處基金預算處科長周明正其餘的我就不一一介紹
transcript.whisperx[59].start 3219.059
transcript.whisperx[59].end 3235.234
transcript.whisperx[59].text 那我們現在進行主案的建議協商那協商時候請參閱協商條文對照表、審查報告還有寄附二讀提案官新聞書與會委員如果有修正動議或機關有建議內容請提出書面應發現場進行討論
transcript.whisperx[60].start 3269.318
transcript.whisperx[60].end 3271.972
transcript.whisperx[60].text 立法院朝野黨團協商.立法院朝野黨團協商
transcript.whisperx[61].start 3274.902
transcript.whisperx[61].end 3303.371
transcript.whisperx[61].text 法制委員併案審查委員黃健豪等20人、委員徐巧芯等18人分別擬具:「中華民國刑法第二百八十六條條文修正草案、委員廖偉翔等19人擬具:「中華民國刑法第七十七條及第二百七十二條之一條文修正草案、委員王育敏等20人、委員楊瓊瓔等20人分別擬具:「中華民國刑法第二百八十六條條文修正草案、
transcript.whisperx[62].start 3304.511
transcript.whisperx[62].end 3324.84
transcript.whisperx[62].text 委員蘇清泉等28人擬具《中華民國刑法第二百八十六條及第二百六條之一條文修正草案》、國民黨黨團委員柯之恩等19人、委員徐欣穎等18人及委員陳昌明等22人分別擬具《中華民國刑法第二百六條修正草案》等10案
transcript.whisperx[63].start 3325.62
transcript.whisperx[63].end 3345.508
transcript.whisperx[63].text 院會禁賦二讀委員賴士寶等17人、委員陳清輝等20人、委員盧憲毅等17人及委員盧明哲等18人等提案其次委員會抽出禁賦二讀委員徐宇貞等22人提案法案審查會前一
transcript.whisperx[64].start 3346.868
transcript.whisperx[64].end 3361.355
transcript.whisperx[64].text 本今年度4月17日審查完略審查結果第七七條增訂第二七二條之一第二八六條及第二八六條之一均保留送院會處理並決議院會前討論前交由黨團協商
transcript.whisperx[65].start 3366.658
transcript.whisperx[65].end 3386.608
transcript.whisperx[65].text 並定第十一次院會將委員賴世寶等17人、委員陳靜惠等20人及委員盧憲英等17人提案禁復二讀第十二次院會將委員徐宇貞等22人提案至委員會抽出禁復二讀第十三次院會將委員魯明哲等18
transcript.whisperx[66].start 3388.544
transcript.whisperx[66].end 3410.919
transcript.whisperx[66].text 提案淨附二讀與相關提案併案審查以上共計15萬與今日併案進行協商現在先請與會機關代表說明並請委員進行討論請問一下與會的機關代表有沒有要說明沒有有嗎好沒有的話請問與會的委員有要說明沒有
transcript.whisperx[67].start 3417.48
transcript.whisperx[67].end 3436.596
transcript.whisperx[67].text 因為本日的協商由黨團代表未出席討論無法達成共識所以後續會依據立法院職權刑事法第十二章的相關規定我們已請院長召開黨團協商會議再進行協商謝謝各位那我們現在進行第二案
transcript.whisperx[68].start 3440.771
transcript.whisperx[68].end 3462.784
transcript.whisperx[68].text 繼續進行第二案協商保釋法及法制內政兩委會併案審查蘇星權等27人擬具警察人員人事條例修正第35條條文及增訂附表三草案委員萬美玲等19人、委員葉榮介等19人、委員王宏威等29人委員丁學忠等17人、委員顏寬衍等20人
transcript.whisperx[69].start 3465.405
transcript.whisperx[69].end 3482.763
transcript.whisperx[69].text 分別擬具警察人員人事條例第35條條文修正草案、委員鄭天才等18人擬具警察人員人事條例部分條文修正草案、委員林詩敏等23人擬具警察人員人事條例第35條條文修正草案
transcript.whisperx[70].start 3483.769
transcript.whisperx[70].end 3502.011
transcript.whisperx[70].text 委員吳立華等16人擬具《警察人員人事條例》第35條及第36條條文修正草案、委員王鴻薇等18人、委員游皓38人及委員張志文等17人分別擬具《警察人員人事條例》第35條條文修正草案等12案
transcript.whisperx[71].start 3502.972
transcript.whisperx[71].end 3519.427
transcript.whisperx[71].text 法案審查會前於4月17日審查完略審查情形第35條及增訂副表3保留送院會處理其餘均有審查結果通過並決議院會討論前需交由黨團協商現在請與會代表說明並請出席委員討論那請問與會的代表有無要進行說明好次長
transcript.whisperx[72].start 3528.961
transcript.whisperx[72].end 3556.021
transcript.whisperx[72].text 謝謝召委除了剛剛跟黃委員提的問題的報告之外就是剛剛內政部馬次長有跟我討論一個疑慮的部分就是我們看到我們整理那張表限職的待遇警政事階是八萬一千四百二十塊然後如果修法以後我們用警政事階任職三十五年
transcript.whisperx[73].start 3558.107
transcript.whisperx[73].end 3567.373
transcript.whisperx[73].text 最高可以領到七萬九千多所以這兩個的差距會拉近到接近只差一兩千塊只差一兩千塊這種狀況那限職人員會不會造成
transcript.whisperx[74].start 3573.738
transcript.whisperx[74].end 3588.61
transcript.whisperx[74].text 退離,因為做跟沒做其實是很接近的,這個可能會像剛剛這個黃委員提到那個警力的人力可能也是另外一個難題,這個做一個補充說明,謝謝好,謝謝,那還有其他機關代表要說明嗎?好,次長
transcript.whisperx[75].start 3602.126
transcript.whisperx[75].end 3625.609
transcript.whisperx[75].text 朝委還有黃委員那內政部的部分針對我們這次的修正提出內政部的一個建議第一個就是說剛剛我們全序部的張次長也提到如果今天按照目前的這個版本做所得地價率的調整的話那我們的限職的警消人員勢必會面臨大量流失的狀況
transcript.whisperx[76].start 3626.77
transcript.whisperx[76].end 3647.033
transcript.whisperx[76].text 那在歷次的委員會包括院會有非常多的委員都擔心我們現在的消防同仁是不足的尤其是上一次我們在新竹的勤工會大火之後有非常多的委員一直關心我們消防人力的補足的部分那我們現在也很努力的包括透過考試
transcript.whisperx[77].start 3647.955
transcript.whisperx[77].end 3661.197
transcript.whisperx[77].text 跟這個訓練的加速來讓我們各地方政府的一個消防同仁的數量能夠得到一個滿足那麼滿足我們地方政府對於消防以及防災的需求
transcript.whisperx[78].start 3662.915
transcript.whisperx[78].end 3687.018
transcript.whisperx[78].text 那第二個就是說如果按照這個版本通過的話勢必我們在人員的流失的速度會比我們在新訓人員的速度來得快那這部分的衝擊我們目前還沒有數據但是顯而易見的從權敘部所提供的數據可以看得出來這個衝擊是非常明確存在的
transcript.whisperx[79].start 3687.638
transcript.whisperx[79].end 3708.952
transcript.whisperx[79].text 所以如果沒有一個數據來能夠把這個衝擊說明清楚的話那做這樣的一個修法可能會造成我們立即的社會安全包括犯罪預防、治安防治跟我們災害防救上面的一個危機所以這部分還是請委員來多做考量那第二點就是說
transcript.whisperx[80].start 3710.433
transcript.whisperx[80].end 3736.387
transcript.whisperx[80].text 我們在目前的法規的修正部分部分委員的版本將法規的內容延伸到移民跟空勤那在這個兩個單位的同仁他目前是以檢建委的一個方式為主那如果修正為警察官的適用的話這會有法律上的漢格這部分也麻煩召委跟委員們來考量那麼再者我們在消防機關
transcript.whisperx[81].start 3738.083
transcript.whisperx[81].end 3755.645
transcript.whisperx[81].text 他本身是雙軌制他有警察人員任用也有警建委的任用那同一個機關同樣的職務那在不同的這個法條的規範下如果我們按照這樣的方式修訂會造成退休人員他的所得替代率的差距過大
transcript.whisperx[82].start 3757.266
transcript.whisperx[82].end 3778.607
transcript.whisperx[82].text 這個也是我們在橫平性上面也必須要去考慮的所以中整以上的意見也懇請我們召委跟委員對於這樣一個修正案能夠再審慎尤其是我們剛剛提到的人員流失的部分所以電政部這邊除了武力華委員的版本我們競表同意之外
transcript.whisperx[83].start 3779.869
transcript.whisperx[83].end 3790.105
transcript.whisperx[83].text 其他委員的版本我們還是建議委員多做考慮希望能夠考量社會的衝擊以及我們目前一個人員培訓的不易以上謝謝召委
transcript.whisperx[84].start 3796.388
transcript.whisperx[84].end 3814.635
transcript.whisperx[84].text 因為現在沒有其他委員在那我就兩位次長是這樣第一位我們先請那個全市府次長因為剛剛黃委員有提出說要麻煩你們補一些資料那這個部分再麻煩全市府這邊要他有說時間內嗎?多久內嗎?
transcript.whisperx[85].start 3817.074
transcript.whisperx[85].end 3834.824
transcript.whisperx[85].text 趙委員報告我剛剛有跟委員確認就是我們回去他容許我們回去跟我的同仁討論以後然後再跟他回報時間那他剛剛有沒有跟你說多久內他就是讓我回去他知道我們同仁很辛苦所以他是讓我回去跟我們的同仁討論那個時間再跟他回報
transcript.whisperx[86].start 3835.97
transcript.whisperx[86].end 3857.667
transcript.whisperx[86].text 那這部分再麻煩那個次長 全副次長是 接著稍微我們回去處理好 那剛剛那個因為兩位次長剛剛有發表一些高見那當然我們也不是說完全不認同兩位次長的看法但是因為現在沒有其他人在我也沒有辦法其他人在代理主席那我就直接說明就是我自己提出我幾個淺見
transcript.whisperx[87].start 3859.648
transcript.whisperx[87].end 3878.707
transcript.whisperx[87].text 而第一個就是說雖然說本縫的部分這所責替代率拉近的話看起來似乎是現職人員跟退休人員他們的這個薪資會差不多但是事實上因為我們都是公務員出身的事實上現職人員他有其他的
transcript.whisperx[88].start 3879.488
transcript.whisperx[88].end 3897.746
transcript.whisperx[88].text 其他的一些家籍可以領取其實實際上還是有蠻大一段的差距這我先跟兩位次長說明一下尤其是警察他有一些超刑津貼啦一些一些有的沒有的那個家籍那我也沒有去細算其實這個金額加起來
transcript.whisperx[89].start 3898.487
transcript.whisperx[89].end 3920.299
transcript.whisperx[89].text 限職人員即便他在本縫上面差不多,但是他實際領取的薪資是高於退休的。」這先跟兩位說明一下那第二個就是說當黃國昌委員有提到結構的部分的問題那為什麼這一次我們先從這個錦霄、海巡或是
transcript.whisperx[90].start 3921.64
transcript.whisperx[90].end 3939.4
transcript.whisperx[90].text 將來可能是不是空情要列入為什麼我們會提這個因為這幾個工作性質跟一般的公務員、委員比較不太一樣的是他們需要比較多體力或是他們有一些危險性所以我們特別把它拉出來
transcript.whisperx[91].start 3941.484
transcript.whisperx[91].end 3963.963
transcript.whisperx[91].text 所以你們剛剛說啦,說現階段就已經人員不足了,如果我們今天再把它改制成它的所得替代率幾乎到跟現值差不了太多的話,會造成人員的大量流失對這個理由,這個確實也是一個道理,但是會不會回過頭來我們去思考
transcript.whisperx[92].start 3965.188
transcript.whisperx[92].end 3979.673
transcript.whisperx[92].text 就我上次在質詢的時候我有提到一個點就是我剛出來當檢察官的時候派出所的警察都很年輕二十幾年前都很年輕但我們現在去看派出所的警察其實都上了年紀了那這樣子的
transcript.whisperx[93].start 3980.433
transcript.whisperx[93].end 3999.804
transcript.whisperx[93].text 人力的結構有沒有辦法去因應這樣的工作其實是我擔心的因為我認識的基層警察我在跟他們請教的時候他們都跟我說一樣的話就是現在的這個所得替代率變成他不敢退休那不敢退休又因為總員額的問題年輕人
transcript.whisperx[94].start 4002.566
transcript.whisperx[94].end 4013.178
transcript.whisperx[94].text 根本沒有辦法進來我們這個就沒辦法進來當公務員那我們這幾份工作又是正好需求年輕的人力進來的工作
transcript.whisperx[95].start 4014.973
transcript.whisperx[95].end 4042.079
transcript.whisperx[95].text 所以這個會變成是一個問題點那當然我也是肯定剛剛馬次長說的那個人員的這個問題那第二個就是說會不會是因為我們把退休制度改成今天這個樣子導致年輕人根本不想進來所以我們每年招的人數可能都不足我現在回過頭去跟兩位次長報告一件事如果我當年
transcript.whisperx[96].start 4043.564
transcript.whisperx[96].end 4063.449
transcript.whisperx[96].text 我當年告訴我說我的退休制度是會變成今天這個樣子那我也不敢來當公務員啦因為我們當年嘛我再選擇我要去當律師去賺錢還是要到公務員去做一份穩定的工作然後退休金讓我穩定的退休這是兩個抉擇但是但是
transcript.whisperx[97].start 4066.65
transcript.whisperx[97].end 4089.998
transcript.whisperx[97].text 如果說我今天知道我退休後的這個退休金領的是金額是這樣我甚至我連考慮都不會考慮去當檢察官所以所以也是要請兩位次長這個是兩位從來沒有去談論到的論點所以剛兩位提的論點我也不是不支持那兩位論點是很金幣但是是不是我們從另外一個角度去思考的
transcript.whisperx[98].start 4091.075
transcript.whisperx[98].end 4115.432
transcript.whisperx[98].text 也是要考量進去因為畢竟這幾個工作項目是比較特殊的它跟一般我們做辦公桌的工作性質還是不同那我們真的需要年輕的人來從事警消還有其他海巡、空巡這一方面的工作我們還是需要很多年輕人來那會不會是我們的制度反而造成了
transcript.whisperx[99].start 4116.797
transcript.whisperx[99].end 4135.791
transcript.whisperx[99].text 這個年輕人不敢進來雖然總數看起來好像沒有變而且我們沒有讓一群人去領退休金但是是不是會讓反而是造成國家的另外一個社會成本的負擔就剛剛黃國昌委員所說的所以這是我的淺見再麻煩兩位次長也能夠思考一下謝謝兩位好 那個
transcript.whisperx[100].start 4142.148
transcript.whisperx[100].end 4167.492
transcript.whisperx[100].text 今天就第二案的協商因為一樣是黨團代表沒有出席討論所以無法達成共識後續我們會依據立法院職權行使法第十二章的相關規定我們會引請院長召開黨團協商會議進行協商謝謝各位今天會議到此散會