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 |